Chicago Blackhawks
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Statistiques d’équipe en carrière

Centre de jeu
	Sydney Ice Dogs 12-14-2, 26pts	3	FINAL	0	Tucson Roadrunners 11-16-2, 24pts

Team Stats
OTL1	Séquence	L2
6-7-1	Fiche domicile	4-9-2
6-7-1	Fiche domicile	7-7-0
4-5-1	Derniers 10 matchs	2-7-1
2.25	Buts par match	2.38
2.71	Buts contre par match	3.48
25.00%	Pourcentage en avantage numérique	21.62%
72.28%	Pourcentage en désavantage numérique	67.02%

Cleveland Monsters
21-6-3, 45pts

FINAL

Tucson Roadrunners
11-16-2, 24pts

Team Stats
W4	Séquence	L2
11-2-1	Fiche domicile	4-9-2
10-4-2	Fiche domicile	7-7-0
8-1-1	Derniers 10 matchs	2-7-1
3.47	Buts par match	2.38
2.07	Buts contre par match	3.48
29.67%	Pourcentage en avantage numérique	21.62%
77.63%	Pourcentage en désavantage numérique	67.02%

Tucson Roadrunners
11-16-2, 24pts

Jour 47

O'Fallon Madcats
11-14-5, 27pts

Statistiques d’équipe
L2	Séquence	W2
4-9-2	Fiche domicile	3-10-1
7-7-0	Fiche visiteur	8-4-4
2-7-1	10 derniers matchs	5-4-1
2.38	Buts par match	2.30
3.48	Buts contre par match	2.30
21.62%	Pourcentage en avantage numérique	35.06%
67.02%	Pourcentage en désavantage numérique	75.73%

Tucson Roadrunners
11-16-2, 24pts

Jour 48

IUP Crimson Hawks
16-11-1, 33pts

Statistiques d’équipe
L2	Séquence	W1
4-9-2	Fiche domicile	10-5-0
7-7-0	Fiche visiteur	6-6-1
2-7-1	10 derniers matchs	7-2-1
2.38	Buts par match	3.21
3.48	Buts contre par match	3.21
21.62%	Pourcentage en avantage numérique	35.23%
67.02%	Pourcentage en désavantage numérique	79.01%

Cleveland Monsters
21-6-3, 45pts

Jour 49

Tucson Roadrunners
11-16-2, 24pts

Statistiques d’équipe
W4	Séquence	L2
11-2-1	Fiche domicile	4-9-2
10-4-2	Fiche visiteur	7-7-0
8-1-1	10 derniers matchs	2-7-1
3.47	Buts par match	2.38
2.07	Buts contre par match	2.38
29.67%	Pourcentage en avantage numérique	21.62%
77.63%	Pourcentage en désavantage numérique	67.02%

Meneurs d'équipe
	Buts Aatu Raty 20	Passes Adam Beckman 12

	Points Aatu Raty 31	Plus/Moins Jacob Perreault 4

	Victoires Daniil Tarasov 11	Pourcentage d’arrêts Daniil Tarasov 0.873

Statistiques d’équipe
Buts pour 69 2.38 GFG	Tirs pour 658 22.69 Avg	Pourcentage en avantage numérique 21.6% 16 GF	Début de zone offensive 33.5%
Buts contre 101 3.48 GAA	Tirs contre 748 25.79 Avg	Pourcentage en désavantage numérique 67.0%% 31 GA	Début de la zone défensive 40.5%

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	11-16-2 (24PTS)
	Historique	0-0-0

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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	Adam Beckman (R)	0		X			100.00	52	35	71	76	70	68	60	50	55	54	47	57	62	45	55	0	41	58	0	23	6	894,167$
2	Lias Andersson	0	X				100.00	64	38	56	59	61	56	63	65	62	49	46	65	49	52	52	0	29	58	0	26	2	775,000$
3	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$
4	Jan Jenik (R)	0	X		X		100.00	46	99	74	75	70	65	60	50	55	49	41	62	60	45	56	0	34	57	0	24	4	867,500$
5	Aatu Raty (R)	0	X				100.00	47	65	67	65	61	56	51	61	54	46	68	53	41	45	45	0	37	56	0	21	6	925,000$
6	Benjamin King (R)	0	X				100.00	60	74	62	47	64	45	52	51	49	69	57	66	49	45	45	0	50	56	0	22	2	775,000$
7	Samuel Fagemo	0		X			100.00	40	35	99	76	79	67	60	50	55	41	47	50	62	45	57	0	41	55	0	24	1	775,000$
8	Oskar Olausson (R)	0			X		100.00	41	35	99	75	66	73	60	50	55	41	41	54	60	45	56	0	41	55	0	21	2	2,500,000$
9	Samu Tuomaala (R)	0			X		100.00	56	37	55	65	62	54	59	55	57	40	62	53	50	45	45	0	41	55	0	21	6	830,833$
10	Chase Stillman (R)	0			X		100.00	64	43	49	58	61	64	59	66	42	41	42	47	45	45	45	0	41	52	0	21	6	863,334$
11	Hunter Haight (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$
12	Julian Lutz (R)	0		X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	32	50	0	20	10	775,000$
13	Prokhor Poltapov (R)	0		X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	41	50	0	21	10	775,000$
14	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$
15	Helge Grans (R)	0				X	100.00	36	65	54	48	62	47	65	53	52	64	44	42	50	45	45	0	32	50	0	22	6	847,500$
16	Kaper Kulonummi (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$
17	Otto Salin (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	41	50	0	20	10	775,000$
18	Sam Rinzel (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	31	50	0	20	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	32	50	0	20	10	775,000$
Rayé
1	Chaz Lucius (R)	0	X				65.64	61	40	68	62	63	54	53	57	47	54	54	55	57	50	50	0	30	56	0	21	10	775,000$
2	Zach Dean (R)	0	X				98.61	51	35	82	75	66	70	60	50	55	41	41	53	60	45	53	0	32	54	0	21	6	852,500$
3	Jacob Perreault (R)	0			X		88.48	41	53	57	52	67	55	53	59	54	46	54	49	44	45	45	0	34	52	0	22	1	775,000$
4	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$
5	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$
6	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$
7	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$
8	Artem Knaizev (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$
9	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$
10	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$
11	Denton Mateychuk (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	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$
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	19	10	775,000$

	MOYENNE D’ÉQUIPE						98.57	49	49	57	55	56	53	52	51	49	49	48	50	50	47	49	0	31	51

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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	49	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	49	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	26	50	0	21	9	775,000$

	MOYENNE D’ÉQUIPE		100.00	63	63	62	63	66	60	61	66	67	61	58	52	47	0	41	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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Aatu Raty	Tucson Roadrunners (CHI)	C	29	20	11	31	1	40	20	34	50	96	22	61	20.83%	9	553	19.10	3	4	7	10	43	1	0	1	1	31	2	1	40.97%	144	29	12	2	1.12	0	0	0	2	2	4	1	2
2	Adam Beckman	Tucson Roadrunners (CHI)	LW	29	14	12	26	-4	10	0	46	55	96	29	64	14.58%	14	661	22.80	6	3	9	14	62	0	1	1	0	69	3	0	46.22%	238	29	15	0	0.79	0	1	0	0	0	2	1	0
3	Lias Andersson	Tucson Roadrunners (CHI)	C	17	5	10	15	2	16	0	41	32	49	14	26	10.20%	10	323	19.06	0	4	4	1	32	0	0	0	2	33	0	1	49.75%	398	11	6	0	0.93	0	1	0	0	0	1	0	4
4	Samuel Fagemo	Tucson Roadrunners (CHI)	LW	29	3	11	14	-9	0	0	23	36	54	21	31	5.56%	13	535	18.47	1	6	7	8	30	0	0	0	0	30	0	0	42.72%	316	11	8	0	0.52	0	0	0	0	0	0	0	1
5	Benjamin King	Tucson Roadrunners (CHI)	C	29	4	9	13	-11	35	25	54	70	47	15	28	8.51%	8	527	18.20	1	2	3	9	50	0	1	1	2	21	0	0	42.07%	309	7	9	0	0.49	0	0	2	0	3	0	2	0
6	Jan Jenik	Tucson Roadrunners (CHI)	C/RW	25	6	6	12	-18	52	40	29	39	53	26	35	11.32%	21	518	20.75	1	2	3	5	40	0	0	0	2	46	0	1	35.71%	28	14	13	0	0.46	1	1	3	2	3	1	0	0
7	Philip Broberg	Tucson Roadrunners (CHI)	D	29	1	9	10	-11	0	0	19	49	40	19	17	2.50%	31	765	26.38	1	1	2	9	70	0	0	0	2	76	1	0	0%	0	8	27	0	0.26	0	1	0	0	0	0	0	2
8	Samu Tuomaala	Tucson Roadrunners (CHI)	RW	29	3	7	10	-12	20	0	43	43	41	12	29	7.32%	3	505	17.44	1	2	3	7	50	0	0	0	0	0	2	0	47.83%	23	17	9	0	0.40	0	0	0	0	0	0	0	1
9	Vladimir Grudinin	Tucson Roadrunners (CHI)	D	29	2	7	9	-10	45	15	51	36	32	14	7	6.25%	40	724	24.99	1	1	2	6	71	0	0	0	1	58	0	1	0%	0	8	28	0	0.25	0	0	1	1	1	0	2	0
10	Kaper Kulonummi	Tucson Roadrunners (CHI)	D	29	0	7	7	-6	29	5	22	29	20	7	6	0%	20	575	19.84	0	0	0	2	44	0	0	0	1	43	0	0	0%	0	3	17	0	0.24	0	0	1	0	0	0	0	0
11	Prokhor Poltapov	Tucson Roadrunners (CHI)	LW	29	0	5	5	2	10	0	29	20	5	5	8	0%	4	299	10.32	0	0	0	0	0	0	0	0	0	1	0	0	0%	2	4	6	0	0.33	0	0	0	0	0	1	0	0
12	Seamus Casey	Tucson Roadrunners (CHI)	D	29	0	5	5	-1	12	0	15	19	5	4	2	0%	14	423	14.62	0	0	0	0	0	0	0	0	0	27	0	0	0%	0	1	9	0	0.24	0	0	0	0	0	0	0	0
13	Antonio Stranges	Tucson Roadrunners (CHI)	LW	12	4	0	4	-3	9	5	15	14	22	2	9	18.18%	1	148	12.34	1	0	1	3	13	0	0	0	0	8	1	0	28.57%	7	3	1	0	0.54	0	0	0	0	1	0	0	1
14	Sam Rinzel	Tucson Roadrunners (CHI)	D	29	0	4	4	-1	17	5	16	26	7	6	1	0%	8	418	14.43	0	0	0	1	1	0	0	0	0	1	0	0	0%	0	5	7	0	0.19	0	0	1	0	0	0	0	0
15	Chaz Lucius	Tucson Roadrunners (CHI)	C	7	1	2	3	-1	2	0	13	10	8	7	10	12.50%	2	99	14.16	0	0	0	0	5	0	0	0	0	7	0	0	44.00%	25	3	3	0	0.61	0	0	0	0	0	0	0	1
16	Otto Salin	Tucson Roadrunners (CHI)	D	29	0	3	3	-6	22	0	32	32	19	7	11	0%	25	564	19.48	0	1	1	2	44	0	0	0	0	39	0	0	0%	0	6	16	0	0.11	0	0	0	0	0	0	0	0
17	Zach Dean	Tucson Roadrunners (CHI)	C	25	3	0	3	-1	0	0	18	20	16	4	10	18.75%	4	238	9.54	0	0	0	1	11	0	0	0	0	0	1	0	45.65%	46	6	7	0	0.25	0	0	0	0	0	0	1	0
18	Jacob Perreault	Tucson Roadrunners (CHI)	RW	13	1	1	2	4	7	5	9	12	15	4	5	6.67%	4	128	9.90	0	0	0	0	1	0	0	0	0	0	0	0	50.00%	2	2	4	0	0.31	0	0	0	1	0	0	0	0
19	Chase Stillman	Tucson Roadrunners (CHI)	RW	29	0	2	2	-2	8	0	18	12	9	2	5	0%	2	170	5.86	0	0	0	1	7	0	0	0	0	0	0	0	26.09%	23	1	1	0	0.24	0	0	0	0	0	0	0	0
20	Oskar Olausson	Tucson Roadrunners (CHI)	RW	29	1	1	2	-6	0	0	11	21	22	11	18	4.55%	6	352	12.15	0	0	0	0	1	0	0	0	0	0	0	0	40.00%	15	12	4	0	0.11	0	0	0	0	0	0	0	0
21	Helge Grans	Tucson Roadrunners (CHI)	D	21	0	0	0	-1	0	0	2	0	0	0	0	0%	0	25	1.22	0	0	0	0	0	0	0	0	0	7	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0
22	Hunter Haight	Tucson Roadrunners (CHI)	C	4	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.06	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
23	Julian Lutz	Tucson Roadrunners (CHI)	LW	21	0	0	0	0	0	0	4	2	2	0	0	0%	0	37	1.77	0	0	0	0	0	0	0	0	1	3	0	0	50.00%	2	0	0	0	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				551	68	112	180	-94	334	120	544	627	658	231	383	10.33%	239	8598	15.61	16	26	42	79	582	1	2	3	12	509	10	4	44.42%	1578	180	202	2	0.42	1	4	8	6	10	9	7	12

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	GA	SA	SAR	EG	PS %	PSA	ST	BG	S1	S2
1	Daniil Tarasov	Tucson Roadrunners (CHI)	29	11	16	1	0.873	3.20	1611	0	86	676	302	1	1.000	3	29	0	1	1
2	Olivier Rodrigue	Tucson Roadrunners (CHI)	5	0	0	1	0.803	6.09	138	2	14	71	37	0	0	0	0	29	0	0
Statistiques d’équipe totales ou en moyenne			34	11	16	2	0.866	3.43	1749	2	100	747	339	1		3	29	29	1	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	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	21	2002-11-14	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	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	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	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	23	2001-01-04	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	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	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	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	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	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	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	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	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	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	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	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	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	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	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	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	21	2002-11-14	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	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	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	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	19	2005-01-11	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	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	21	2002-11-10	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	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	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	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	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	21	2003-01-08	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	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	20	2004-01-08	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	20	2003-12-09	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	21	2003-01-04	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	21.42	185 Lbs	6 ft1	7.39	851,852$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Adam Beckman	Samuel Fagemo	Aatu Raty	40	1	2	2
2	Jan Jenik	Benjamin King	Samu Tuomaala	30	1	2	2
3	Samuel Fagemo	Adam Beckman	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	Philip Broberg	Vladimir Grudinin	40	1	2	2
2	Kaper Kulonummi	Otto Salin	30	1	2	2
3	Sam Rinzel	Seamus Casey	20	1	2	2
4	Philip Broberg	Vladimir Grudinin	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Adam Beckman	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	Philip Broberg	Vladimir Grudinin	60	1	2	2
2	Kaper Kulonummi	Otto Salin	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Adam Beckman	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	Philip Broberg	Vladimir Grudinin	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	Adam Beckman	60	1	2	2	Philip Broberg	Vladimir Grudinin	60	1	2	2
2	Benjamin King	40	1	2	2	Kaper Kulonummi	Otto Salin	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Adam Beckman	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	Vladimir Grudinin	60	1	2	2
2	Kaper Kulonummi	Otto Salin	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Adam Beckman	Benjamin King	Jan Jenik	Philip Broberg	Vladimir Grudinin

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Adam Beckman	Benjamin King	Jan Jenik	Philip Broberg	Vladimir Grudinin

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jan Jenik, Chase Stillman, Adam Beckman	Adam Beckman, Chase Stillman	Adam Beckman

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Sam Rinzel, Seamus Casey, Kaper Kulonummi	Sam Rinzel	Seamus Casey, Kaper Kulonummi

Tirs de pénalité
Adam Beckman, Aatu Raty, Jan Jenik, Samu Tuomaala, Benjamin King

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

Lignes d’attaque personnalisées en prolongation
Adam Beckman, 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
Philip Broberg, Vladimir Grudinin, Kaper Kulonummi, Otto Salin, Sam Rinzel

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	1	0	0	0	1	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	2	1	1	2	1.000	2	4	6	0	0	14	26	25	4	20	170	238	236	17	21	4	6	13	0	0	0%	3	0	100.00%	1	242	522	46.36%	275	631	43.58%	184	406	45.32%	492	211	615	318	643	302
2	Cleveland Monsters	2	0	2	0	0	0	0	0	2	8	-6	2	0	2	0	0	0	0	0	2	8	-6	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	14	26	25	4	31	170	238	236	17	44	8	16	25	2	0	0.00%	8	3	62.50%	0	242	522	46.36%	275	631	43.58%	184	406	45.32%	492	211	615	318	643	302
3	Columbus River Dragons	3	0	3	0	0	0	0	0	4	13	-9	1	0	1	0	0	0	0	0	2	6	-4	2	0	2	0	0	0	0	0	2	7	-5	0	0.000	4	6	10	0	0	14	26	25	4	47	170	238	236	17	78	28	34	64	4	1	25.00%	12	7	41.67%	0	242	522	46.36%	275	631	43.58%	184	406	45.32%	492	211	615	318	643	302
4	Greenville Swamp Rabbits	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	4	7	0	0	14	26	25	4	25	170	238	236	17	24	9	8	21	3	0	0.00%	4	1	75.00%	0	242	522	46.36%	275	631	43.58%	184	406	45.32%	492	211	615	318	643	302
5	IUP Crimson Hawks	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	14	26	25	4	24	170	238	236	17	26	8	8	16	3	1	33.33%	4	1	75.00%	0	242	522	46.36%	275	631	43.58%	184	406	45.32%	492	211	615	318	643	302
6	Lillehammer IK	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	14	26	25	4	25	170	238	236	17	33	12	4	16	3	0	0.00%	2	1	50.00%	0	242	522	46.36%	275	631	43.58%	184	406	45.32%	492	211	615	318	643	302
7	O'Fallon Madcats	4	1	2	0	1	0	0	0	9	11	-2	3	0	2	0	1	0	0	0	7	10	-3	1	1	0	0	0	0	0	0	2	1	1	4	0.500	9	14	23	0	0	14	26	25	4	96	170	238	236	17	85	21	44	83	11	1	9.09%	12	6	50.00%	0	242	522	46.36%	275	631	43.58%	184	406	45.32%	492	211	615	318	643	302
8	San Diego Spartans	6	1	4	0	0	1	0	0	19	35	-16	3	0	2	0	0	1	0	0	9	19	-10	3	1	2	0	0	0	0	0	10	16	-6	3	0.250	19	30	49	0	0	14	26	25	4	151	170	238	236	17	212	68	101	79	22	9	40.91%	18	5	72.22%	0	242	522	46.36%	275	631	43.58%	184	406	45.32%	492	211	615	318	643	302
9	Sudbury Wolves	3	1	2	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	3	1	2	2	0	2	0	0	0	0	0	2	5	-3	2	0.333	5	9	14	1	0	14	26	25	4	69	170	238	236	17	58	13	22	71	10	0	0.00%	6	2	66.67%	0	242	522	46.36%	275	631	43.58%	184	406	45.32%	492	211	615	318	643	302
10	Sydney Ice Dogs	2	1	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	0	3	-3	1	1	0	0	0	0	0	0	3	1	2	2	0.500	3	5	8	0	0	14	26	25	4	35	170	238	236	17	27	10	11	36	5	1	20.00%	3	1	66.67%	0	242	522	46.36%	275	631	43.58%	184	406	45.32%	492	211	615	318	643	302
11	Wheeling Nailers	5	2	1	0	0	1	1	0	18	17	1	3	1	0	0	0	1	1	0	13	10	3	2	1	1	0	0	0	0	0	5	7	-2	7	0.700	18	30	48	0	0	14	26	25	4	135	170	238	236	17	140	58	82	120	11	3	27.27%	22	4	81.82%	0	242	522	46.36%	275	631	43.58%	184	406	45.32%	492	211	615	318	643	302
	Total	29	7	16	0	3	2	1	0	69	101	-32	15	2	9	0	1	2	1	0	38	60	-22	14	5	7	0	2	0	0	0	31	41	-10	24	0.414	69	112	181	1	0	14	26	25	4	658	170	238	236	17	748	239	336	544	74	16	21.62%	94	31	67.02%	1	242	522	46.36%	275	631	43.58%	184	406	45.32%	492	211	615	318	643	302
	_Since Last GM Reset	29	7	16	0	3	2	1	0	69	101	-32	15	2	9	0	1	2	1	0	38	60	-22	14	5	7	0	2	0	0	0	31	41	-10	24	0.414	69	112	181	1	0	14	26	25	4	658	170	238	236	17	748	239	336	544	74	16	21.62%	94	31	67.02%	1	242	522	46.36%	275	631	43.58%	184	406	45.32%	492	211	615	318	643	302
	_Vs Conference	26	6	15	0	2	2	1	0	63	96	-33	14	2	8	0	1	2	1	0	36	57	-21	12	4	7	0	1	0	0	0	27	39	-12	20	0.385	63	101	164	1	0	14	26	25	4	589	170	238	236	17	668	215	318	499	68	15	22.06%	85	29	65.88%	0	242	522	46.36%	275	631	43.58%	184	406	45.32%	492	211	615	318	643	302
	_Vs Division	11	6	15	0	2	2	1	0	21	33	-12	6	2	8	0	1	2	1	0	11	22	-11	5	4	7	0	1	0	0	0	10	11	-1	20	0.909	21	32	53	0	0	14	26	25	4	227	170	238	236	17	240	76	105	220	26	4	15.38%	35	16	54.29%	0	242	522	46.36%	275	631	43.58%	184	406	45.32%	492	211	615	318	643	302

			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
29	24	L2	69	112	181	658	748	239	336	544	1	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	7	16	3	2	1	0	69	101

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	2	9	1	2	1	0	38	60

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	5	7	2	0	0	0	31	41

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
2	7	0	1	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
74	16	21.62%	94	31	67.02%	1

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
170	238	236	17	14	26	25	4

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
242	522	46.36%	275	631	43.58%	184	406	45.32%

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
492	211	615	318	643	302

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	-	O'Fallon Madcats	-
48	274	Tucson Roadrunners	-	IUP Crimson Hawks	-
49	282	Cleveland Monsters	-	Tucson Roadrunners	-
51	293	Wheeling Nailers	-	Tucson Roadrunners	-
53	301	Tucson Roadrunners	-	Cleveland Monsters	-
54	309	Tucson Roadrunners	-	O'Fallon Madcats	-
56	318	O'Fallon Madcats	-	Tucson Roadrunners	-
59	330	Columbus River Dragons	-	Tucson Roadrunners	-
60	338	Tucson Roadrunners	-	Jacksonville Lizard Kings	-
62	347	Jacksonville Lizard Kings	-	Tucson Roadrunners	-
65	357	Tucson Roadrunners	-	Orlando Solar Bears	-
67	366	Sydney Ice Dogs	-	Tucson Roadrunners	-
68	374	Tucson Roadrunners	-	Cleveland Monsters	-
70	383	Utica Comets	-	Tucson Roadrunners	-
72	395	Tucson Roadrunners	-	San Diego Spartans	-
73	402	Lillehammer IK	-	Tucson Roadrunners	-
74	410	Tucson Roadrunners	-	Wheeling Nailers	-
75	418	Tucson Roadrunners	-	San Diego Spartans	-
77	427	Hershey Bears	-	Tucson Roadrunners	-
79	436	Tucson Roadrunners	-	Utica Comets	-
81	444	Greenville Swamp Rabbits	-	Tucson Roadrunners	-
83	456	Lillehammer IK	-	Tucson Roadrunners	-
84	464	Tucson Roadrunners	-	Hershey Bears	-
86	473	Hershey Bears	-	Tucson Roadrunners	-
88	483	Tucson Roadrunners	-	Columbus River Dragons	-
89	489	Tucson Roadrunners	-	Sudbury Wolves	-
90	497	Utica Comets	-	Tucson Roadrunners	-
92	508	Wheeling Nailers	-	Tucson Roadrunners	-
95	524	Skelleftea AIK	-	Tucson Roadrunners	-
96	529	Tucson Roadrunners	-	Sudbury Wolves	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
97	539	Tucson Roadrunners	-	Skelleftea AIK	-
99	545	Tucson Roadrunners	-	IUP Crimson Hawks	-
100	552	IUP Crimson Hawks	-	Tucson Roadrunners	-
101	559	Tucson Roadrunners	-	Greenville Swamp Rabbits	-
103	569	Tucson Roadrunners	-	O'Fallon Madcats	-
104	576	Sydney Ice Dogs	-	Tucson Roadrunners	-
106	587	Greenville Swamp Rabbits	-	Tucson Roadrunners	-
107	596	Tucson Roadrunners	-	Sydney Ice Dogs	-
108	605	Calgary Canucks	-	Tucson Roadrunners	-
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
26	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
4,227,432$	3,066,666$	3,494,166$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	992,156$	0	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	92	96,078$	8,839,176$

Tucson Roadrunners Leaders statistiques des joueurs (saison régulière)

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#	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)

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#	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

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	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)

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#	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)

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

	Tucson Roadrunners
	GP: 29 \| W: 11 \| L: 16 \| OTL: 2 \| P: 24 GF: 69 \| GA: 101 \| PP%: 21.62% \| PK%: 67.02% DG: Trevor Pistek \| Morale : 34 \| Moyenne d’équipe : 52 Prochains matchs #268 vs O'Fallon Madcats