Chicago Blackhawks
Domicile
Formation
Statistiques joueurs
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Statistiques de l'Équipe de Carrière

Centre de jeu
	Tucson Roadrunners 31-33-4, 66pts	1	FINAL	2	Sydney Ice Dogs 28-33-6, 62pts

Team Stats
W1	Séquence	OTL1
15-16-3	Fiche domicile	16-15-3
16-17-1	Fiche domicile	12-18-3
7-1-2	Derniers 10 matchs	4-5-1
2.47	Buts par match	1.93
3.24	Buts contre par match	2.43
21.56%	Pourcentage en avantage numérique	22.88%
67.59%	Pourcentage en désavantage numérique	72.90%

Calgary Canucks
37-22-6, 80pts

FINAL

Tucson Roadrunners
31-33-4, 66pts

Team Stats
OTL1	Séquence	W1
18-12-4	Fiche domicile	15-16-3
19-10-2	Fiche domicile	16-17-1
5-4-1	Derniers 10 matchs	7-1-2
3.03	Buts par match	2.47
2.34	Buts contre par match	3.24
19.46%	Pourcentage en avantage numérique	21.56%
77.04%	Pourcentage en désavantage numérique	67.59%

Greenville Swamp Rabbits
39-21-7, 85pts

Jour 110

Tucson Roadrunners
31-33-4, 66pts

Statistiques d’équipe
W1	Séquence	W1
17-12-4	Fiche domicile	15-16-3
22-9-3	Fiche visiteur	16-17-1
5-3-2	10 derniers matchs	7-1-2
2.79	Buts par match	2.47
2.73	Buts contre par match	2.47
29.19%	Pourcentage en avantage numérique	21.56%
75.37%	Pourcentage en désavantage numérique	67.59%

Tucson Roadrunners
31-33-4, 66pts

Jour 112

Greenville Swamp Rabbits
39-21-7, 85pts

Statistiques d’équipe
W1	Séquence	W1
15-16-3	Fiche domicile	17-12-4
16-17-1	Fiche visiteur	22-9-3
7-1-2	10 derniers matchs	5-3-2
2.47	Buts par match	2.79
3.24	Buts contre par match	2.79
21.56%	Pourcentage en avantage numérique	29.19%
67.59%	Pourcentage en désavantage numérique	75.37%

Saskatoon Blades
33-28-7, 73pts

Jour 114

Tucson Roadrunners
31-33-4, 66pts

Statistiques d’équipe
L1	Séquence	W1
14-15-4	Fiche domicile	15-16-3
19-13-3	Fiche visiteur	16-17-1
6-4-0	10 derniers matchs	7-1-2
2.71	Buts par match	2.47
2.76	Buts contre par match	2.47
26.14%	Pourcentage en avantage numérique	21.56%
77.73%	Pourcentage en désavantage numérique	67.59%

Meneurs d'équipe
	Buts Aatu Raty 42	Passes Lias Andersson 33

	Points Aatu Raty 69	Plus/Moins Chase Stillman 9

	Victoires Daniil Tarasov 31	Pourcentage d’arrêts Daniil Tarasov 0.864

Statistiques d’équipe
Buts pour 168 2.47 GFG	Tirs pour 1474 21.68 Avg	Pourcentage en avantage numérique 21.6% 36 GF	Début de zone offensive 36.3%
Buts contre 220 3.24 GAA	Tirs contre 1546 22.74 Avg	Pourcentage en désavantage numérique 67.6%% 70 GA	Début de la zone défensive 38.4%

Informations de l'équipe
	Directeur général	Trevor Pistek
	Entraîneur	Niklas Hjalmarsson
	Division	Adams
	Conférence	West
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Capacité	3,000
	Assistance	0
	Billets de saison	300
Informations de la formation
	Équipe Pro	36
	Équipe Mineure	20
	Limite contact	56 / 250
	Espoirs	10
Historique d'équipe
	Saison actuelle	31-33-4 (66PTS)
	Historique	0-0-0

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Lias Andersson	0	X				100.00	64	38	56	59	61	56	63	65	62	49	46	65	49	52	52	0	41	58	0	26	2	775,000$
2	Jan Jenik (R)	0	X		X		100.00	46	99	74	75	70	65	60	50	55	49	41	62	60	45	56	0	51	57	0	24	4	867,500$
3	Aatu Raty (R)	0	X				100.00	47	65	67	65	61	56	51	61	54	46	68	53	41	45	45	0	53	56	0	22	6	925,000$
4	Benjamin King (R)	0	X				100.00	60	74	62	47	64	45	52	51	49	69	57	66	49	45	45	0	68	56	0	22	2	775,000$
5	Chaz Lucius (R)	0	X				100.00	61	40	68	62	63	54	53	57	47	54	54	55	57	50	50	0	37	56	0	21	10	775,000$
6	Samuel Fagemo	0		X			100.00	40	35	99	76	79	67	60	50	55	41	47	50	62	45	57	0	56	55	0	24	1	775,000$
7	Oskar Olausson (R)	0			X		100.00	41	35	99	75	66	73	60	50	55	41	41	54	60	45	56	0	55	55	0	22	2	2,500,000$
8	Samu Tuomaala (R)	0			X		100.00	56	37	55	65	62	54	59	55	57	40	62	53	50	45	45	0	55	55	0	22	6	830,833$
9	Zach Dean (R)	0	X				100.00	51	35	82	75	66	70	60	50	55	41	41	53	60	45	53	0	28	54	0	22	6	852,500$
10	Jacob Perreault (R)	0			X		100.00	41	53	57	52	67	55	53	59	54	46	54	49	44	45	45	0	33	52	0	22	1	775,000$
11	Chase Stillman (R)	0			X		100.00	64	43	49	58	61	64	59	66	42	41	42	47	45	45	45	0	55	52	0	21	6	863,334$
12	Hunter Haight (R)	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	27	50	0	20	10	775,000$
13	Julian Lutz (R)	0		X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	36	50	0	20	10	775,000$
14	Prokhor Poltapov (R)	0		X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	58	50	0	21	10	775,000$
15	Philip Broberg (R)	0				X	100.00	40	35	99	76	74	72	60	52	40	54	43	56	52	45	58	0	31	59	0	23	6	863,333$
16	Helge Grans (R)	0				X	100.00	36	65	54	48	62	47	65	53	52	64	44	42	50	45	45	0	33	50	0	22	6	847,500$
17	Kaper Kulonummi (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	46	50	0	20	10	775,000$
18	Otto Salin (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	44	50	0	20	10	775,000$
19	Seamus Casey (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	29	50	0	21	10	775,000$
20	Vladimir Grudinin (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	34	50	0	21	10	775,000$
Rayé
1	Adam Beckman (R)	0		X			86.75	52	35	71	76	70	68	60	50	55	54	47	57	62	45	55	0	20	58	0	23	6	894,167$
2	Antonio Stranges (R)	0		X			100.00	74	73	51	48	65	61	51	60	48	70	60	47	54	45	45	0	20	57	0	22	1	775,000$
3	Adam Ingram (R)	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	21	10	775,000$
4	Conor Geekie (R)	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	20	10	775,000$
5	Conor Zary (R)	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	23	10	775,000$
6	Gleb Trikozov (R)	0	X	X	X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	20	10	775,000$
7	Artem Knaizev (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	19	50	0	24	10	775,000$
8	Arytom Duda (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	20	10	775,000$
9	Calle Odelius (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	20	10	775,000$
10	Denton Mateychuk (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	19	50	0	20	10	775,000$
11	Elias Salomonsson (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	20	10	775,000$
12	Sam Rinzel (R)	0				X	99.44	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	41	50	0	20	10	775,000$
13	Matthew Mania (R)	0				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	20	1	0	20	10	775,000$

	MOYENNE D’ÉQUIPE						99.58	49	49	57	55	56	53	52	51	49	49	48	50	50	47	49	0	35	51

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Daniil Tarasov (R)	0	100.00	85	75	84	90	81	80	84	84	84	84	78	50	45	0	72	79	0	25	6	1,050,000$
2	Olivier Rodrigue (R)	0	100.00	54	65	51	48	67	50	50	64	67	49	47	57	46	0	72	56	0	24	6	797,500$
Rayé
1	Jesper Wallstedt (R)	0	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	22	9	775,000$

	MOYENNE D’ÉQUIPE		100.00	63	63	62	63	66	60	61	66	67	61	58	52	47	0	55	62

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Niklas Hjalmarsson	80	80	80	80	80	80	80	SWE	38	6	10,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Aatu Raty	Tucson Roadrunners (CHI)	C	68	42	27	69	-8	80	40	119	116	232	65	133	18.10%	27	1409	20.73	11	10	21	34	120	1	0	1	3	73	4	2	45.40%	315	57	25	0	2	0.98	1	1	1	3	4	7	3	5
2	Lias Andersson	Tucson Roadrunners (CHI)	C	56	16	33	49	-2	47	5	108	82	146	51	100	10.96%	24	1045	18.66	4	10	14	18	100	1	0	1	5	67	1	2	51.07%	513	31	26	0	0	0.94	0	1	0	1	0	3	1	5
3	Samuel Fagemo	Tucson Roadrunners (CHI)	LW	68	18	28	46	-24	5	5	64	109	151	55	82	11.92%	30	1431	21.05	5	13	18	23	110	0	0	0	2	66	2	1	45.14%	1059	34	21	0	0	0.64	0	1	0	0	1	3	2	3
4	Benjamin King	Tucson Roadrunners (CHI)	C	68	8	28	36	-8	55	35	130	130	107	38	59	7.48%	19	1254	18.44	2	5	7	15	112	0	1	1	4	60	1	0	42.10%	639	11	24	0	0	0.57	0	0	3	0	4	0	5	1
5	Adam Beckman	Tucson Roadrunners (CHI)	LW	45	18	17	35	-1	12	0	69	70	121	37	81	14.88%	17	866	19.26	6	5	11	17	72	0	1	1	0	80	5	0	47.97%	296	36	19	0	0	0.81	0	1	0	0	0	3	1	1
6	Jan Jenik	Tucson Roadrunners (CHI)	C/RW	64	18	15	33	-20	71	45	87	141	126	51	86	14.29%	36	1377	21.53	2	3	5	13	102	0	0	0	7	145	4	3	55.41%	74	43	26	0	0	0.48	1	1	4	2	3	4	1	3
7	Philip Broberg	Tucson Roadrunners (CHI)	D	61	3	20	23	-20	0	0	36	103	80	42	34	3.75%	69	1619	26.55	1	3	4	11	122	0	0	0	4	156	1	0	0%	0	28	50	1	0	0.28	0	1	0	0	0	0	0	2
8	Samu Tuomaala	Tucson Roadrunners (CHI)	RW	68	9	14	23	-14	34	0	104	109	97	30	70	9.28%	17	1246	18.33	3	2	5	13	112	0	1	1	5	83	4	0	48.97%	194	43	23	0	0	0.37	0	0	0	0	0	3	0	1
9	Vladimir Grudinin	Tucson Roadrunners (CHI)	D	66	3	15	18	-12	96	20	96	82	58	23	20	5.17%	66	1552	23.52	1	4	5	7	129	0	0	0	3	107	0	1	0%	0	15	44	1	0	0.23	0	0	1	1	2	0	4	0
10	Chase Stillman	Tucson Roadrunners (CHI)	RW	68	8	7	15	9	18	0	76	43	36	9	22	22.22%	6	630	9.27	0	0	0	1	15	0	0	0	0	0	2	1	33.77%	77	4	4	0	0	0.48	0	0	0	0	0	2	2	0
11	Kaper Kulonummi	Tucson Roadrunners (CHI)	D	58	0	15	15	-7	59	15	52	66	36	22	16	0%	39	1197	20.65	0	2	2	7	97	0	0	0	1	89	0	0	0%	0	8	25	0	0	0.25	0	0	1	1	1	0	0	0
12	Antonio Stranges	Tucson Roadrunners (CHI)	LW	33	9	3	12	0	29	15	52	38	56	13	22	16.07%	2	396	12.03	1	0	1	3	16	0	0	0	0	11	3	0	47.25%	91	10	6	0	0	0.60	0	0	1	0	2	0	0	2
13	Oskar Olausson	Tucson Roadrunners (CHI)	RW	68	6	6	12	-8	0	0	40	77	71	18	40	8.45%	17	890	13.10	0	0	0	0	2	0	0	0	0	0	0	1	42.11%	19	20	15	0	0	0.27	0	0	0	0	0	0	1	0
14	Otto Salin	Tucson Roadrunners (CHI)	D	66	1	10	11	3	42	0	58	74	44	14	16	2.27%	35	1274	19.31	0	3	3	7	95	0	0	0	0	91	0	1	0%	0	12	26	0	0	0.17	0	0	0	0	0	0	0	1
15	Prokhor Poltapov	Tucson Roadrunners (CHI)	LW	68	0	8	8	0	31	5	77	46	16	6	15	0%	7	676	9.95	0	0	0	0	0	0	0	0	0	1	0	0	27.78%	36	6	11	0	0	0.24	0	0	1	0	0	1	0	0
16	Sam Rinzel	Tucson Roadrunners (CHI)	D	57	0	8	8	-6	35	5	33	66	21	8	8	0%	21	945	16.58	0	1	1	5	25	0	0	0	1	47	0	0	0%	0	8	15	0	0	0.17	0	0	1	0	0	0	0	0
17	Seamus Casey	Tucson Roadrunners (CHI)	D	58	0	8	8	-5	16	0	31	38	7	5	2	0%	25	798	13.76	0	1	1	0	22	0	0	0	0	55	0	0	0%	0	4	13	0	0	0.20	0	0	0	0	0	0	0	0
18	Chaz Lucius	Tucson Roadrunners (CHI)	C	28	3	2	5	-1	2	0	16	12	12	8	11	25.00%	4	141	5.07	0	0	0	0	5	0	0	0	0	7	1	0	45.45%	33	4	3	0	0	0.70	0	0	0	0	0	0	1	1
19	Helge Grans	Tucson Roadrunners (CHI)	D	50	0	3	3	-2	17	5	11	17	7	2	4	0%	9	389	7.78	0	0	0	0	4	0	0	0	0	32	0	0	0%	0	2	3	0	0	0.15	0	0	0	1	0	0	0	0
20	Jacob Perreault	Tucson Roadrunners (CHI)	RW	36	1	2	3	7	7	5	16	21	19	4	5	5.26%	4	238	6.63	0	0	0	0	2	0	0	0	0	0	0	0	66.67%	6	2	4	0	0	0.25	0	0	0	1	0	0	0	0
21	Zach Dean	Tucson Roadrunners (CHI)	C	48	3	0	3	-1	0	0	18	20	16	4	10	18.75%	4	238	4.98	0	0	0	1	11	0	0	0	0	0	1	0	45.65%	46	6	7	0	0	0.25	0	0	0	0	0	0	1	0
22	Arytom Duda	Tucson Roadrunners (CHI)	D	10	0	1	1	2	10	10	7	4	4	1	0	0%	2	163	16.39	0	0	0	0	10	0	0	0	0	7	0	0	0%	0	1	3	0	0	0.12	0	0	1	1	0	0	0	0
23	Artem Knaizev	Tucson Roadrunners (CHI)	D	10	0	0	0	0	23	5	17	11	9	3	2	0%	10	211	21.16	0	0	0	4	16	0	0	0	0	14	0	0	0%	0	1	4	0	0	0	0	0	0	1	0	0	0	0
24	Denton Mateychuk	Tucson Roadrunners (CHI)	D	2	0	0	0	1	2	0	2	2	0	0	0	0%	0	15	7.82	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
25	Hunter Haight	Tucson Roadrunners (CHI)	C	31	0	0	0	1	0	0	0	1	0	0	0	0%	0	14	0.46	0	0	0	0	0	0	0	0	0	0	0	0	71.43%	7	0	0	0	0	0	0	0	0	0	0	0	0	0
26	Julian Lutz	Tucson Roadrunners (CHI)	LW	50	0	0	0	-1	2	0	20	5	2	0	4	0%	0	147	2.94	0	0	0	0	0	0	0	0	1	4	0	0	33.33%	3	0	0	0	0	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1305	166	270	436	-117	693	215	1339	1483	1474	509	842	11.26%	490	20174	15.46	36	62	98	179	1311	2	3	5	36	1206	29	12	45.86%	3408	386	397	2	2	0.43	2	6	14	12	17	26	22	25

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Daniil Tarasov	Tucson Roadrunners (CHI)	68	31	33	3	0.864	3.00	3759	0	4	188	1382	625	1	1	1.000	6	68	0	2	3	1
2	Olivier Rodrigue	Tucson Roadrunners (CHI)	14	0	0	1	0.810	5.36	347	2	0	31	163	89	0	0	0	0	0	68	0	0	0
Statistiques d’équipe totales ou en moyenne			82	31	33	4	0.858	3.20	4107	2	4	219	1545	714	1	1		6	68	68	2	3	1

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10	Lien
Aatu Raty	Tucson Roadrunners (CHI)	C	22	2002-11-14	FIN	Yes	190 Lbs	6 ft2	No	No	N/A	No	No	6	2024-07-02	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	925,000$	925,000$	925,000$	-	-	-	-	925,000$	925,000$	925,000$	925,000$	925,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-
Adam Beckman	Tucson Roadrunners (CHI)	LW	23	2001-05-10	CAN	Yes	182 Lbs	6 ft2	No	No	N/A	No	No	6	2024-07-02	False	False	Pro & Farm	894,167$	0$	0$	No	894,167$	894,167$	894,167$	894,167$	894,167$	-	-	-	-	894,167$	894,167$	894,167$	894,167$	894,167$	894,167$	894,167$	894,167$	894,167$	No	No	No	No	No	-	-	-	-	Lien
Adam Ingram	Tucson Roadrunners (CHI)	C	21	2003-10-14	CAN	Yes	161 Lbs	6 ft2	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Antonio Stranges	Tucson Roadrunners (CHI)	LW	22	2002-02-05	USA	Yes	180 Lbs	5 ft10	No	No	N/A	No	No	1	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	-	-	-	-	-	-	-	-	-	Lien
Artem Knaizev	Tucson Roadrunners (CHI)	D	24	2001-01-04	RUS	Yes	182 Lbs	5 ft10	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Arytom Duda	Tucson Roadrunners (CHI)	D	20	2004-04-08	RUS	Yes	187 Lbs	6 ft1	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Benjamin King	Tucson Roadrunners (CHI)	C	22	2002-05-15	CAN	Yes	205 Lbs	6 ft3	No	No	N/A	No	No	2	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	-	-	-	-	-	-	-	-
Calle Odelius	Tucson Roadrunners (CHI)	D	20	2004-05-30	SWE	Yes	188 Lbs	6 ft0	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Chase Stillman	Tucson Roadrunners (CHI)	RW	21	2003-03-19	USA	Yes	185 Lbs	6 ft1	No	No	N/A	No	No	6	2024-07-02	False	False	Pro & Farm	863,334$	0$	0$	No	863,334$	863,334$	863,334$	863,334$	863,334$	-	-	-	-	863,334$	863,334$	863,334$	863,334$	863,334$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-
Chaz Lucius	Tucson Roadrunners (CHI)	C	21	2003-05-02	USA	Yes	185 Lbs	6 ft1	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Conor Geekie	Tucson Roadrunners (CHI)	C	20	2004-05-05	CAN	Yes	196 Lbs	6 ft3	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Conor Zary	Tucson Roadrunners (CHI)	C	23	2001-09-25	CAN	Yes	178 Lbs	6 ft0	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Daniil Tarasov	Tucson Roadrunners (CHI)	G	25	1999-03-27	RUS	Yes	196 Lbs	6 ft5	No	No	N/A	No	No	6	2024-07-02	False	False	Pro & Farm	1,050,000$	0$	0$	No	1,050,000$	1,050,000$	1,050,000$	1,050,000$	1,050,000$	-	-	-	-	1,050,000$	1,050,000$	1,050,000$	1,050,000$	1,050,000$	750,000$	750,000$	750,000$	-	No	No	No	No	No	-	-	-	-
Denton Mateychuk	Tucson Roadrunners (CHI)	D	20	2004-07-12	CAN	Yes	194 Lbs	5 ft11	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Elias Salomonsson	Tucson Roadrunners (CHI)	D	20	2004-08-31	SWE	Yes	183 Lbs	6 ft1	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Gleb Trikozov	Tucson Roadrunners (CHI)	C/LW/RW	20	2004-08-12	RUS	Yes	185 Lbs	6 ft1	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Helge Grans	Tucson Roadrunners (CHI)	D	22	2002-05-10	SWE	Yes	205 Lbs	6 ft4	No	No	N/A	No	No	6	2024-07-02	False	False	Pro & Farm	847,500$	0$	0$	No	847,500$	847,500$	847,500$	847,500$	847,500$	-	-	-	-	847,500$	847,500$	847,500$	847,500$	847,500$	870,000$	870,000$	870,000$	870,000$	No	No	No	No	No	-	-	-	-	Lien
Hunter Haight	Tucson Roadrunners (CHI)	C	20	2004-04-04	CAN	Yes	174 Lbs	5 ft11	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Jacob Perreault	Tucson Roadrunners (CHI)	RW	22	2002-04-15	CAN	Yes	192 Lbs	5 ft11	No	No	N/A	No	No	1	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	863,333$	863,333$	863,333$	863,333$	863,333$	750,000$	750,000$	750,000$	750,000$	-	-	-	-	-	-	-	-	-
Jan Jenik	Tucson Roadrunners (CHI)	C/RW	24	2000-09-15	CZE	Yes	185 Lbs	6 ft1	No	No	N/A	No	No	4	2024-07-02	False	False	Pro & Farm	867,500$	0$	0$	No	867,500$	867,500$	867,500$	-	-	-	-	-	-	867,500$	867,500$	867,500$	795,000$	795,000$	795,000$	795,000$	795,000$	795,000$	No	No	No	-	-	-	-	-	-	Lien
Jesper Wallstedt	Tucson Roadrunners (CHI)	G	22	2002-11-14	SWE	Yes	214 Lbs	6 ft3	No	No	N/A	No	No	9		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	No	No	No	No	No	No	No	No	-
Julian Lutz	Tucson Roadrunners (CHI)	LW	20	2004-02-29	DEU	Yes	187 Lbs	6 ft2	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Kaper Kulonummi	Tucson Roadrunners (CHI)	D	20	2004-03-01	FIN	Yes	178 Lbs	6 ft0	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Lias Andersson	Tucson Roadrunners (CHI)	C	26	1998-10-13	SWE	No	185 Lbs	6 ft1	No	No	N/A	No	No	2	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	874,125$	874,125$	874,125$	874,125$	874,125$	874,125$	874,125$	874,125$	No	-	-	-	-	-	-	-	-	Lien
Matthew Mania	Tucson Roadrunners (CHI)	D	20	2005-01-11	USA	Yes	187 Lbs	6 ft1	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1$	1$	1$	1$	1$	1$	1$	1$	1$	No	No	No	No	No	No	No	No	No
Olivier Rodrigue	Tucson Roadrunners (CHI)	G	24	2000-07-06	CAN	Yes	156 Lbs	5 ft11	No	No	N/A	No	No	6	2024-07-02	False	False	Pro & Farm	797,500$	0$	0$	No	797,500$	797,500$	797,500$	797,500$	797,500$	-	-	-	-	797,500$	797,500$	797,500$	797,500$	797,500$	795,000$	795,000$	795,000$	-	No	No	No	No	No	-	-	-	-
Oskar Olausson	Tucson Roadrunners (CHI)	RW	22	2002-11-10	SWE	Yes	180 Lbs	6 ft1	No	No	N/A	No	No	2	2024-07-02	False	False	Pro & Farm	2,500,000$	0$	0$	No	2,500,000$	-	-	-	-	-	-	-	-	2,500,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	-	-	-	-	-	-	-	-
Otto Salin	Tucson Roadrunners (CHI)	D	20	2004-03-07	FIN	Yes	205 Lbs	5 ft11	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Philip Broberg	Tucson Roadrunners (CHI)	D	23	2001-06-25	SWE	Yes	199 Lbs	6 ft3	No	No	N/A	No	No	6	2024-07-02	False	False	Pro & Farm	863,333$	0$	0$	No	863,333$	863,333$	863,333$	863,333$	863,333$	-	-	-	-	863,333$	863,333$	863,333$	863,333$	863,333$	863,333$	863,333$	863,333$	863,333$	No	No	No	No	No	-	-	-	-	Lien / Lien NHL
Prokhor Poltapov	Tucson Roadrunners (CHI)	LW	21	2003-02-01	RUS	Yes	176 Lbs	6 ft0	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Sam Rinzel	Tucson Roadrunners (CHI)	D	20	2004-06-25	USA	Yes	180 Lbs	6 ft3	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Samu Tuomaala	Tucson Roadrunners (CHI)	RW	22	2003-01-08	FIN	Yes	174 Lbs	5 ft10	No	No	N/A	No	No	6	2024-07-02	False	False	Pro & Farm	830,833$	0$	0$	No	830,833$	830,833$	830,833$	830,833$	830,833$	-	-	-	-	830,833$	830,833$	830,833$	830,833$	830,833$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-
Samuel Fagemo	Tucson Roadrunners (CHI)	LW	24	2000-03-14	SWE	No	200 Lbs	6 ft0	No	No	N/A	No	No	1	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	795,000$	795,000$	795,000$	795,000$	795,000$	795,000$	795,000$	795,000$	795,000$	-	-	-	-	-	-	-	-	-	Lien
Seamus Casey	Tucson Roadrunners (CHI)	D	21	2004-01-08	USA	Yes	173 Lbs	5 ft10	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Vladimir Grudinin	Tucson Roadrunners (CHI)	D	21	2003-12-09	RUS	Yes	158 Lbs	5 ft10	No	No	N/A	No	No	10		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	No	No
Zach Dean	Tucson Roadrunners (CHI)	C	22	2003-01-04	CAN	Yes	176 Lbs	6 ft0	No	No	N/A	No	No	6	2024-07-02	False	False	Pro & Farm	852,500$	0$	0$	No	852,500$	852,500$	852,500$	852,500$	852,500$	-	-	-	-	852,500$	852,500$	852,500$	852,500$	852,500$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
36	21.67	185 Lbs	6 ft1	7.39	851,852$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Lias Andersson	Samuel Fagemo	Aatu Raty	40	1	2	2
2	Jan Jenik	Benjamin King	Samu Tuomaala	30	1	2	2
3	Samuel Fagemo	Lias Andersson	Oskar Olausson	20	1	2	2
4	Prokhor Poltapov	Aatu Raty	Jan Jenik	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Kaper Kulonummi	Philip Broberg	40	1	2	2
2	Vladimir Grudinin	Otto Salin	30	1	2	2
3	Vladimir Grudinin	Philip Broberg	20	1	2	2
4	Philip Broberg	Otto Salin	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Lias Andersson	Samuel Fagemo	Aatu Raty	60	1	2	2
2	Jan Jenik	Benjamin King	Samu Tuomaala	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Otto Salin	Kaper Kulonummi	60	1	2	2
2	Vladimir Grudinin	Philip Broberg	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Samu Tuomaala	Jan Jenik	60	1	2	2
2	Aatu Raty	Benjamin King	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Vladimir Grudinin	Philip Broberg	60	1	2	2
2	Kaper Kulonummi	Otto Salin	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Jan Jenik	60	1	2	2	Vladimir Grudinin	Kaper Kulonummi	60	1	2	2
2	Benjamin King	40	1	2	2	Otto Salin	Philip Broberg	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Aatu Raty	Jan Jenik	60	1	2	2
2	Samu Tuomaala	Benjamin King	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Philip Broberg	Otto Salin	60	1	2	2
2	Vladimir Grudinin	Kaper Kulonummi	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Lias Andersson	Benjamin King	Jan Jenik	Kaper Kulonummi	Philip Broberg

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Lias Andersson	Benjamin King	Jan Jenik	Kaper Kulonummi	Philip Broberg

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jan Jenik, Chase Stillman, Benjamin King	Jan Jenik, Chase Stillman	Jan Jenik

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Otto Salin, Philip Broberg, Vladimir Grudinin	Philip Broberg	Philip Broberg, Otto Salin

Tirs de pénalité
Samuel Fagemo, Aatu Raty, Jan Jenik, Samu Tuomaala, Benjamin King

Gardien
#1 : Daniil Tarasov, #2 : Olivier Rodrigue

Lignes d’attaque personnalisées en prolongation
Chaz Lucius, Prokhor Poltapov, Jan Jenik, Lias Andersson, Benjamin King, Chase Stillman, Chase Stillman, Aatu Raty, Samuel Fagemo, Samu Tuomaala, Oskar Olausson

Lignes de défense personnalisées en prolongation
Vladimir Grudinin, Otto Salin, Seamus Casey, Philip Broberg, Helge Grans

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Calgary Canucks	2	0	0	0	2	0	0	0	5	3	2	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	1	0	0	0	2	1	1	4	1.000	5	9	14	0	0	25	62	69	12	36	344	525	564	46	47	12	10	31	1	0	0.00%	5	0	100.00%	1	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
2	Cleveland Monsters	5	0	5	0	0	0	0	0	6	22	-16	3	0	3	0	0	0	0	0	3	11	-8	2	0	2	0	0	0	0	0	3	11	-8	0	0.000	6	11	17	0	0	25	62	69	12	73	344	525	564	46	109	24	57	71	8	0	0.00%	21	9	57.14%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
3	Columbus River Dragons	5	1	3	0	0	0	1	0	16	21	-5	2	0	1	0	0	0	1	0	8	11	-3	3	1	2	0	0	0	0	0	8	10	-2	4	0.400	16	23	39	0	0	25	62	69	12	108	344	525	564	46	146	44	50	104	7	3	42.86%	20	9	55.00%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
4	Greenville Swamp Rabbits	4	1	1	0	2	0	0	0	8	6	2	2	1	1	0	0	0	0	0	4	4	0	2	0	0	0	2	0	0	0	4	2	2	6	0.750	8	12	20	0	2	25	62	69	12	90	344	525	564	46	68	19	26	91	7	1	14.29%	13	2	84.62%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
5	Hershey Bears	3	3	0	0	0	0	0	0	15	4	11	2	2	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	5	1	4	6	1.000	15	25	40	0	0	25	62	69	12	116	344	525	564	46	29	10	60	84	9	3	33.33%	10	2	80.00%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
6	IUP Crimson Hawks	4	1	1	0	1	1	0	0	7	7	0	2	0	1	0	0	1	0	0	2	4	-2	2	1	0	0	1	0	0	0	5	3	2	5	0.625	7	13	20	0	0	25	62	69	12	71	344	525	564	46	79	20	14	74	11	3	27.27%	7	1	85.71%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
7	Jacksonville Lizard Kings	2	0	2	0	0	0	0	0	2	13	-11	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	2	3	5	0	0	25	62	69	12	37	344	525	564	46	70	26	31	33	3	0	0.00%	8	3	62.50%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
8	Lillehammer IK	3	1	1	0	1	0	0	0	11	12	-1	2	0	1	0	1	0	0	0	9	11	-2	1	1	0	0	0	0	0	0	2	1	1	4	0.667	11	19	30	0	0	25	62	69	12	74	344	525	564	46	102	40	33	51	10	2	20.00%	14	6	57.14%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
9	O'Fallon Madcats	8	3	3	0	2	0	0	0	21	18	3	4	1	2	0	1	0	0	0	10	10	0	4	2	1	0	1	0	0	0	11	8	3	10	0.625	21	35	56	0	1	25	62	69	12	188	344	525	564	46	152	49	84	156	27	6	22.22%	22	9	59.09%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
10	Orlando Solar Bears	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	0	0	0	0	0	25	62	69	12	14	344	525	564	46	10	2	8	17	1	0	0.00%	4	2	50.00%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
11	San Diego Spartans	8	1	6	0	0	1	0	0	22	45	-23	3	0	2	0	0	1	0	0	9	19	-10	5	1	4	0	0	0	0	0	13	26	-13	3	0.188	22	34	56	0	0	25	62	69	12	197	344	525	564	46	280	94	139	110	26	10	38.46%	32	9	71.88%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
12	Skelleftea AIK	2	0	1	0	1	0	0	0	5	5	0	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	1	0	0	0	3	2	1	2	0.500	5	5	10	0	0	25	62	69	12	38	344	525	564	46	43	13	8	51	3	0	0.00%	4	2	50.00%	1	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
13	Sudbury Wolves	5	1	4	0	0	0	0	0	8	14	-6	1	1	0	0	0	0	0	0	3	1	2	4	0	4	0	0	0	0	0	5	13	-8	2	0.200	8	15	23	1	0	25	62	69	12	95	344	525	564	46	88	23	32	118	13	1	7.69%	11	3	72.73%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
14	Sydney Ice Dogs	5	3	1	0	0	1	0	0	9	8	1	3	2	1	0	0	0	0	0	5	5	0	2	1	0	0	0	1	0	0	4	3	1	7	0.700	9	13	22	0	1	25	62	69	12	80	344	525	564	46	65	24	24	106	15	1	6.67%	7	1	85.71%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
15	Utica Comets	3	1	2	0	0	0	0	0	5	11	-6	2	1	1	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	0	3	-3	2	0.333	5	9	14	0	0	25	62	69	12	63	344	525	564	46	47	13	23	62	8	0	0.00%	9	6	33.33%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
16	Wheeling Nailers	8	3	2	0	1	1	1	0	28	29	-1	5	2	1	0	0	1	1	0	20	20	0	3	1	1	0	1	0	0	0	8	9	-1	11	0.688	28	44	72	0	0	25	62	69	12	194	344	525	564	46	211	77	96	180	18	6	33.33%	29	6	79.31%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
	Total	68	19	33	0	10	4	2	0	168	220	-52	34	10	16	0	3	3	2	0	94	118	-24	34	9	17	0	7	1	0	0	74	102	-28	66	0.485	168	270	438	1	4	25	62	69	12	1474	344	525	564	46	1546	490	695	1339	167	36	21.56%	216	70	67.59%	2	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
	_Since Last GM Reset	68	19	33	0	10	4	2	0	168	220	-52	34	10	16	0	3	3	2	0	94	118	-24	34	9	17	0	7	1	0	0	74	102	-28	66	0.485	168	270	438	1	4	25	62	69	12	1474	344	525	564	46	1546	490	695	1339	167	36	21.56%	216	70	67.59%	2	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
	_Vs Conference	48	13	25	0	5	3	2	0	118	163	-45	23	7	11	0	1	2	2	0	62	81	-19	25	6	14	0	4	1	0	0	56	82	-26	43	0.448	118	187	305	1	4	25	62	69	12	1025	344	525	564	46	1119	354	508	936	121	28	23.14%	155	48	69.03%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761
	_Vs Division	33	13	25	0	5	3	2	0	81	77	4	17	7	11	0	1	2	2	0	44	45	-1	16	6	14	0	4	1	0	0	37	32	5	43	0.652	81	130	211	0	4	25	62	69	12	730	344	525	564	46	596	181	289	694	85	17	20.00%	92	32	65.22%	0	584	1216	48.03%	581	1287	45.14%	398	849	46.88%	1180	480	1363	745	1567	761

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
68	66	W1	168	270	438	1474	1546	490	695	1339	1	4

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
68	19	33	10	4	2	0	168	220

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
34	10	16	3	3	2	0	94	118

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
34	9	17	7	1	0	0	74	102

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
7	1	0	2	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
167	36	21.56%	216	70	67.59%	2

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
344	525	564	46	25	62	69	12

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
584	1216	48.03%	581	1287	45.14%	398	849	46.88%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
1180	480	1363	745	1567	761

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	Lien
1	2	Tucson Roadrunners	6	San Diego Spartans	1	W			Sommaire du match
3	11	Wheeling Nailers	6	Tucson Roadrunners	5	L	X		Sommaire du match
5	21	Columbus River Dragons	6	Tucson Roadrunners	2	L			Sommaire du match
7	32	Tucson Roadrunners	2	San Diego Spartans	8	L			Sommaire du match
8	41	O'Fallon Madcats	4	Tucson Roadrunners	2	L			Sommaire du match
11	53	Tucson Roadrunners	2	O'Fallon Madcats	1	W			Sommaire du match
12	61	Wheeling Nailers	2	Tucson Roadrunners	5	W			Sommaire du match
14	74	Tucson Roadrunners	2	Lillehammer IK	1	W			Sommaire du match
15	78	Sudbury Wolves	1	Tucson Roadrunners	3	W			Sommaire du match
16	86	Tucson Roadrunners	1	Sudbury Wolves	2	L			Sommaire du match
18	98	Wheeling Nailers	2	Tucson Roadrunners	3	W	X	X	Sommaire du match
19	105	Tucson Roadrunners	5	Wheeling Nailers	4	W			Sommaire du match
20	112	Tucson Roadrunners	3	Greenville Swamp Rabbits	2	W	X		Sommaire du match
22	121	San Diego Spartans	8	Tucson Roadrunners	2	L			Sommaire du match
24	132	Tucson Roadrunners	1	Sudbury Wolves	3	L			Sommaire du match
25	139	Cleveland Monsters	3	Tucson Roadrunners	1	L			Sommaire du match
27	150	O'Fallon Madcats	2	Tucson Roadrunners	3	W	X		Sommaire du match
28	159	Tucson Roadrunners	1	Columbus River Dragons	3	L			Sommaire du match
29	168	O'Fallon Madcats	4	Tucson Roadrunners	2	L			Sommaire du match
31	177	Tucson Roadrunners	1	Columbus River Dragons	4	L			Sommaire du match
32	186	Tucson Roadrunners	2	San Diego Spartans	7	L			Sommaire du match
33	191	IUP Crimson Hawks	3	Tucson Roadrunners	2	L			Sommaire du match
36	203	Tucson Roadrunners	2	Calgary Canucks	1	W	X		Sommaire du match
37	210	San Diego Spartans	7	Tucson Roadrunners	4	L			Sommaire du match
38	221	San Diego Spartans	4	Tucson Roadrunners	3	L	X		Sommaire du match
40	230	Tucson Roadrunners	0	Wheeling Nailers	3	L			Sommaire du match
41	238	Tucson Roadrunners	3	Sydney Ice Dogs	1	W			Sommaire du match
42	246	Sydney Ice Dogs	3	Tucson Roadrunners	0	L			Sommaire du match
44	257	Cleveland Monsters	5	Tucson Roadrunners	1	L			Sommaire du match
47	268	Tucson Roadrunners	2	O'Fallon Madcats	3	L			Sommaire du match
48	274	Tucson Roadrunners	3	IUP Crimson Hawks	2	W	X		Sommaire du match
49	282	Cleveland Monsters	3	Tucson Roadrunners	1	L			Sommaire du match
51	293	Wheeling Nailers	3	Tucson Roadrunners	5	W			Sommaire du match
53	301	Tucson Roadrunners	2	Cleveland Monsters	5	L			Sommaire du match
54	309	Tucson Roadrunners	5	O'Fallon Madcats	3	W			Sommaire du match
56	318	O'Fallon Madcats	0	Tucson Roadrunners	3	W			Sommaire du match
59	330	Columbus River Dragons	5	Tucson Roadrunners	6	W	X	X	Sommaire du match
60	338	Tucson Roadrunners	1	Jacksonville Lizard Kings	7	L			Sommaire du match
62	347	Jacksonville Lizard Kings	6	Tucson Roadrunners	1	L			Sommaire du match
65	357	Tucson Roadrunners	0	Orlando Solar Bears	2	L			Sommaire du match
67	366	Sydney Ice Dogs	2	Tucson Roadrunners	4	W			Sommaire du match
68	374	Tucson Roadrunners	1	Cleveland Monsters	6	L			Sommaire du match
70	383	Utica Comets	2	Tucson Roadrunners	4	W			Sommaire du match
72	395	Tucson Roadrunners	1	San Diego Spartans	3	L			Sommaire du match
73	402	Lillehammer IK	4	Tucson Roadrunners	5	W	X		Sommaire du match
74	410	Tucson Roadrunners	3	Wheeling Nailers	2	W	X		Sommaire du match
75	418	Tucson Roadrunners	2	San Diego Spartans	7	L			Sommaire du match
77	427	Hershey Bears	1	Tucson Roadrunners	6	W			Sommaire du match
79	436	Tucson Roadrunners	0	Utica Comets	3	L			Sommaire du match
81	444	Greenville Swamp Rabbits	4	Tucson Roadrunners	1	L			Sommaire du match
83	456	Lillehammer IK	7	Tucson Roadrunners	4	L			Sommaire du match
84	464	Tucson Roadrunners	5	Hershey Bears	1	W			Sommaire du match
86	473	Hershey Bears	2	Tucson Roadrunners	4	W			Sommaire du match
88	483	Tucson Roadrunners	6	Columbus River Dragons	3	W			Sommaire du match
89	489	Tucson Roadrunners	0	Sudbury Wolves	1	L			Sommaire du match
90	497	Utica Comets	6	Tucson Roadrunners	1	L			Sommaire du match
92	508	Wheeling Nailers	7	Tucson Roadrunners	2	L			Sommaire du match
95	524	Skelleftea AIK	3	Tucson Roadrunners	2	L			Sommaire du match
96	529	Tucson Roadrunners	3	Sudbury Wolves	7	L			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
97	539	Tucson Roadrunners	3	Skelleftea AIK	2	W	X		Sommaire du match
99	545	Tucson Roadrunners	2	IUP Crimson Hawks	1	W			Sommaire du match
100	552	IUP Crimson Hawks	1	Tucson Roadrunners	0	L	X		Sommaire du match
101	559	Tucson Roadrunners	1	Greenville Swamp Rabbits	0	W	X		Sommaire du match
103	569	Tucson Roadrunners	2	O'Fallon Madcats	1	W	X		Sommaire du match
104	576	Sydney Ice Dogs	0	Tucson Roadrunners	1	W			Sommaire du match
106	587	Greenville Swamp Rabbits	0	Tucson Roadrunners	3	W			Sommaire du match
107	596	Tucson Roadrunners	1	Sydney Ice Dogs	2	L	X		Sommaire du match
108	605	Calgary Canucks	2	Tucson Roadrunners	3	W	X		Sommaire du match
110	616	Greenville Swamp Rabbits	-	Tucson Roadrunners	-
112	626	Tucson Roadrunners	-	Greenville Swamp Rabbits	-
114	635	Saskatoon Blades	-	Tucson Roadrunners	-
115	644	Tucson Roadrunners	-	Cleveland Monsters	-
117	650	Tucson Roadrunners	-	Sydney Ice Dogs	-
118	660	Tucson Roadrunners	-	Saskatoon Blades	-
120	665	Sudbury Wolves	-	Tucson Roadrunners	-
122	678	Orlando Solar Bears	-	Tucson Roadrunners	-
123	685	Tucson Roadrunners	-	Calgary Canucks	-
125	694	Tucson Roadrunners	-	Saskatoon Blades	-
126	697	Tucson Roadrunners	-	Lillehammer IK	-
127	703	Sudbury Wolves	-	Tucson Roadrunners	-
130	716	Columbus River Dragons	-	Tucson Roadrunners	-
135	737	Columbus River Dragons	-	Tucson Roadrunners	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
7	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs
10,376,424$	3,066,666$	3,066,666$	10,000,000$0$

Plafond salarial par jour	Plafond salarial à ce jour	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	2,435,292$	0	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	28	96,078$	2,690,184$

Tucson Roadrunners Leaders statistiques des joueurs (saison régulière)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Tucson Roadrunners Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Tucson Roadrunners Statistiques de l'Équipe de Carrière

Afficher ou masquer des colonnes

	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Tucson Roadrunners Leaders statistiques des joueurs (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Tucson Roadrunners Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Tucson Roadrunners
	GP: 68 \| W: 31 \| L: 33 \| OTL: 4 \| P: 66 GF: 168 \| GA: 220 \| PP%: 21.56% \| PK%: 67.59% DG: Trevor Pistek \| Morale : 38 \| Moyenne d’équipe : 52 Prochains matchs #616 vs Greenville Swamp Rabbits