Tampa Bay Lightning
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Statistiques d’équipe en carrière

Centre de jeu
	Saskatoon Blades 21-15-7, 49pts	4	FINAL	2	Wheeling Nailers 13-24-6, 32pts

Team Stats
W1	Séquence	W1
10-7-4	Fiche domicile	6-13-2
11-8-3	Fiche domicile	7-11-4
4-3-3	Derniers 10 matchs	3-6-1
2.79	Buts par match	2.28
2.72	Buts contre par match	3.26
24.14%	Pourcentage en avantage numérique	26.24%
75.52%	Pourcentage en désavantage numérique	64.86%

Hershey Bears
0-42-2, 2pts

FINAL

Wheeling Nailers
13-24-6, 32pts

Team Stats
L5	Séquence	W1
0-19-2	Fiche domicile	6-13-2
0-23-0	Fiche domicile	7-11-4
0-8-2	Derniers 10 matchs	3-6-1
0.57	Buts par match	2.28
5.57	Buts contre par match	3.26
8.75%	Pourcentage en avantage numérique	26.24%
68.53%	Pourcentage en désavantage numérique	64.86%

Wheeling Nailers
13-24-6, 32pts

Jour 70

Sydney Ice Dogs
19-20-3, 41pts

Statistiques d’équipe
W1	Séquence	W1
6-13-2	Fiche domicile	10-9-2
7-11-4	Fiche visiteur	9-11-1
3-6-1	10 derniers matchs	7-3-0
2.28	Buts par match	2.12
3.26	Buts contre par match	2.12
26.24%	Pourcentage en avantage numérique	23.76%
64.86%	Pourcentage en désavantage numérique	73.33%

Columbus River Dragons
26-10-7, 59pts

Jour 71

Wheeling Nailers
13-24-6, 32pts

Statistiques d’équipe
OTL1	Séquence	W1
17-4-0	Fiche domicile	6-13-2
9-6-7	Fiche visiteur	7-11-4
5-1-4	10 derniers matchs	3-6-1
3.28	Buts par match	2.28
2.53	Buts contre par match	2.28
25.68%	Pourcentage en avantage numérique	26.24%
78.63%	Pourcentage en désavantage numérique	64.86%

Wheeling Nailers
13-24-6, 32pts

Jour 72

O'Fallon Madcats
18-20-5, 41pts

Statistiques d’équipe
W1	Séquence	L1
6-13-2	Fiche domicile	7-13-1
7-11-4	Fiche visiteur	11-7-4
3-6-1	10 derniers matchs	5-5-0
2.28	Buts par match	2.30
3.26	Buts contre par match	2.30
26.24%	Pourcentage en avantage numérique	30.97%
64.86%	Pourcentage en désavantage numérique	77.78%

Meneurs d'équipe
	Buts Luke Hughes 15	Passes Luke Hughes 43

	Points Luke Hughes 58	Plus/Moins Luke Tuch 2

	Victoires Ivan Prosvetov 12	Pourcentage d’arrêts Ivan Prosvetov 0.862

Statistiques d’équipe
Buts pour 98 2.28 GFG	Tirs pour 968 22.51 Avg	Pourcentage en avantage numérique 26.2% 37 GF	Début de zone offensive 39.6%
Buts contre 140 3.26 GAA	Tirs contre 1008 23.44 Avg	Pourcentage en désavantage numérique 64.9%% 39 GA	Début de la zone défensive 36.6%

Informations de l'équipe
	Directeur général	Matt Myers
	Entraîneur	Dan Bylsma
	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	33
	Équipe Mineure	20
	Limite contact	53 / 250
	Espoirs	12
Historique d'équipe
	Saison actuelle	13-24-6 (32PTS)
	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	Radek Faksa	0	X				100.00	64	35	92	78	86	74	89	60	78	62	60	76	70	68	73	0	23	71	0	30	2	3,250,000$
2	Alexander Holtz (R)	0		X	X		100.00	49	35	95	79	75	72	99	59	55	61	66	59	72	45	56	0	31	65	0	22	6	918,333$
3	Tyler Boucher (R)	0			X		100.00	65	65	55	65	68	56	56	61	49	66	57	61	56	45	45	0	32	60	0	21	6	863,334$
4	Martin Kaut (R)	0			X		100.00	60	73	68	65	61	51	47	58	57	49	68	57	53	48	48	0	20	57	0	25	2	775,000$
5	Frank Nazar	0	X				100.00	40	35	99	81	65	82	60	50	55	41	57	50	66	45	56	0	18	57	0	20	6	838,333$
6	Rem Pitlick	0	X	X			100.00	44	35	93	79	71	81	60	50	55	41	41	50	60	56	70	0	19	56	0	27	6	838,333$
7	Gavin Brindley (R)	0	X				100.00	40	35	99	75	65	74	60	50	55	41	41	50	60	45	52	0	32	54	0	20	6	950,000$
8	Matthew Savoie (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	Paul Ludwinski (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$
10	Reid Schaefer (R)	0		X			100.00	56	68	51	46	67	45	49	61	53	42	52	41	52	45	45	0	20	50	0	21	6	886,666$
11	Simon Robertson (R)	0			X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	24	50	0	21	10	775,000$
12	Topi Ronni (R)	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	21	50	0	20	10	775,000$
13	Zion Nybeck (R)	0	X	X	X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	22	50	0	22	10	775,000$
14	Alexander Suzdalev (R)	0		X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	33	50	0	20	10	775,000$
15	Luke Hughes (R)	0				X	100.00	54	35	90	86	67	94	99	76	40	80	63	69	66	45	63	0	32	74	0	21	6	925,000$
16	Ryker Evans (R)	0				X	100.00	65	35	85	81	74	89	60	69	40	62	49	79	59	56	73	0	32	73	0	27	4	800,000$
17	Scott Perunovich (R)	0				X	100.00	51	35	93	80	66	80	65	65	40	69	49	65	58	52	67	0	25	67	0	26	2	1,150,000$
18	Logan Mailloux (R)	0				X	100.00	41	35	99	88	79	93	60	73	40	74	38	53	57	45	63	0	32	66	0	21	2	775,000$
19	Mattias Havelid (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	21	50	0	20	10	775,000$
20	Nolan Allan (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	28	50	0	21	10	775,000$
Rayé
1	Dans Locmelis (R)	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	28	50	0	20	10	775,000$
2	Jacob Melanson (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$
3	Jimmy Snuggerud (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$
4	Luke Tuch (R)	0		X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	22	10	775,000$
5	Matthew Coronato (R)	0		X	X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	22	10	775,000$
6	Ryan McAllister (R)	0	X	X	X		99.05	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	16	50	0	22	10	775,000$
7	Sean Farrell (R)	0	X				100.00	55	75	47	48	65	47	69	55	47	45	47	47	52	45	45	0	19	50	0	23	6	897,500$
8	Jakub Stancl (R)	0	X	X			100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	20	1	0	19	1	775,000$
9	Jere Innala (R)	0			X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	20	1	0	26	1	775,000$
10	Noah Warren (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	Ryan Chesley (R)	0				X	77.50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	11	50	0	20	10	775,000$

	MOYENNE D’ÉQUIPE						99.24	48	45	60	57	55	56	54	51	47	50	48	50	51	47	50	0	23	52

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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	Ivan Prosvetov (R)	0	100.00	83	65	76	90	75	78	80	77	80	80	72	50	45	0	42	75	0	25	6	793,333$
2	Eetu Makiniemi (R)	0	100.00	67	48	52	53	56	53	48	70	51	60	53	63	55	0	41	56	0	25	2	775,000$
Rayé

	MOYENNE D’ÉQUIPE		100.00	75	57	64	72	66	66	64	74	66	70	63	57	50	0	42	66

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dan Bylsma	80	80	80	80	80	80	80	USA	58	7	1,000,000$

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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	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	Luke Hughes	Wheeling Nailers (TB )	D	43	15	43	58	-19	10	0	61	94	169	63	62	8.88%	61	1233	28.68	12	12	24	44	131	0	1	1	2	87	2	1	0%	0	48	37	0	0	0.94	0	0	0	0	0	2	5	5
2	Radek Faksa	Wheeling Nailers (TB )	C	37	13	23	36	-12	4	0	58	96	129	46	81	10.08%	25	880	23.80	3	11	14	15	89	0	0	0	0	68	2	1	58.90%	803	22	13	1	0	0.82	1	2	0	0	0	4	0	2
3	Alexander Holtz	Wheeling Nailers (TB )	LW/RW	42	14	10	24	-10	2	0	57	84	102	36	68	13.73%	26	964	22.95	5	3	8	17	106	0	0	0	3	73	1	0	42.50%	80	32	17	0	1	0.50	0	2	0	0	0	2	3	1
4	Tyler Boucher	Wheeling Nailers (TB )	RW	43	9	14	23	-7	46	0	112	54	74	34	47	12.16%	15	901	20.96	3	7	10	10	115	1	0	1	2	34	0	1	39.29%	84	10	21	0	0	0.51	1	3	0	0	0	1	2	2
5	Ryker Evans	Wheeling Nailers (TB )	D	43	6	15	21	-24	10	0	55	102	89	40	43	6.74%	50	1143	26.59	2	6	8	17	122	0	0	0	3	80	0	0	0%	0	21	37	0	0	0.37	0	0	0	0	0	0	0	1
6	Logan Mailloux	Wheeling Nailers (TB )	D	43	4	9	13	-13	0	0	14	57	61	27	27	6.56%	30	878	20.43	3	3	6	17	64	0	0	0	0	48	0	0	0%	0	9	25	0	0	0.30	0	0	0	0	0	0	0	1
7	Martin Kaut	Wheeling Nailers (TB )	RW	41	10	1	11	-18	40	10	71	51	66	25	41	15.15%	8	717	17.51	6	0	6	17	78	0	0	0	0	3	2	0	36.67%	30	9	13	0	0	0.31	0	0	0	0	2	0	0	1
8	Ondrej Palat	Tampa Bay Lightning	LW/RW	8	5	5	10	3	0	0	12	14	28	6	14	17.86%	3	149	18.69	1	1	2	4	10	0	0	0	0	13	1	0	52.38%	42	6	2	0	1	1.34	0	0	0	0	0	1	1	0
9	Scott Perunovich	Wheeling Nailers (TB )	D	40	4	5	9	-14	9	5	24	74	35	15	20	11.43%	43	849	21.24	2	1	3	3	39	0	0	0	0	28	0	0	0%	0	12	24	0	0	0.21	0	0	1	0	0	0	0	1
10	Rem Pitlick	Wheeling Nailers (TB )	C/LW	12	2	6	8	-2	2	0	9	24	6	3	2	33.33%	3	214	17.90	0	3	3	2	24	0	0	0	0	10	0	0	46.03%	189	2	2	0	0	0.74	0	0	0	0	0	0	1	0
11	Frank Nazar	Wheeling Nailers (TB )	C	26	5	3	8	-10	0	0	14	40	28	8	14	17.86%	5	348	13.41	0	2	2	4	30	0	1	1	1	8	0	0	41.71%	187	6	2	0	0	0.46	0	0	0	0	0	0	1	1
12	Gavin Brindley	Wheeling Nailers (TB )	C	43	3	5	8	-17	0	0	44	72	46	14	17	6.52%	16	861	20.03	0	4	4	4	80	0	0	0	0	19	0	1	49.84%	309	10	20	0	0	0.19	0	0	0	0	0	0	1	0
13	Thomas Harley	Tampa Bay Lightning	D	10	1	5	6	-3	0	0	9	23	44	12	9	2.27%	26	307	30.72	0	2	2	8	29	0	0	0	3	20	0	0	0%	0	8	8	0	0	0.39	0	0	0	0	0	0	0	0
14	Alexander Suzdalev	Wheeling Nailers (TB )	LW	43	2	4	6	-13	27	5	71	65	27	11	19	7.41%	13	677	15.77	0	1	1	1	35	0	0	0	0	12	1	0	50.53%	190	2	9	0	0	0.18	0	0	0	0	1	0	0	1
15	Zion Nybeck	Wheeling Nailers (TB )	C/LW/RW	43	3	1	4	-8	44	10	53	46	11	3	5	27.27%	6	498	11.60	0	0	0	0	0	0	0	0	0	0	1	1	58.33%	12	2	10	0	0	0.16	0	0	1	1	0	1	0	0
16	Dans Locmelis	Wheeling Nailers (TB )	C	33	0	3	3	-1	10	0	25	19	8	1	6	0%	1	270	8.21	0	0	0	1	7	0	0	0	0	10	0	0	48.21%	56	1	4	0	0	0.22	0	0	0	0	0	0	0	0
17	Luke Tuch	Wheeling Nailers (TB )	LW	6	2	0	2	2	0	0	2	3	3	0	2	66.67%	1	45	7.61	0	0	0	0	0	0	0	0	0	1	1	0	100.00%	1	2	0	0	0	0.88	0	0	0	0	0	0	0	1
18	Paul Ludwinski	Wheeling Nailers (TB )	C	36	0	2	2	-8	18	0	59	41	13	3	10	0%	4	482	13.39	0	0	0	3	40	0	0	0	1	25	0	0	47.62%	147	1	5	0	0	0.08	0	0	0	0	0	0	0	0
19	Ryan Chesley	Wheeling Nailers (TB )	D	35	0	2	2	-8	17	5	20	39	9	1	4	0%	11	506	14.48	0	2	2	2	47	0	0	0	1	29	0	0	0%	0	2	11	0	0	0.08	0	0	0	0	1	0	0	0
20	Jacob Melanson	Wheeling Nailers (TB )	RW	6	0	1	1	0	0	0	4	2	0	0	1	0%	0	33	5.61	0	0	0	0	1	0	0	0	0	0	0	0	0%	0	0	0	0	0	0.59	0	0	0	0	0	0	0	0
21	Jimmy Snuggerud	Wheeling Nailers (TB )	RW	4	0	1	1	2	4	0	6	1	5	3	10	0%	1	50	12.70	0	0	0	0	0	0	0	0	0	0	0	0	33.33%	3	1	1	0	0	0.39	0	0	0	0	0	0	0	0
22	Reid Schaefer	Wheeling Nailers (TB )	LW	29	1	0	1	-8	8	0	13	10	7	2	7	14.29%	0	242	8.37	0	0	0	0	3	0	0	0	0	18	0	0	66.67%	3	0	3	0	0	0.08	0	0	0	0	0	0	0	0
23	Casey Cizikas	Tampa Bay Lightning	C	4	0	0	0	-2	0	0	2	3	7	3	2	0%	1	42	10.66	0	0	0	0	2	0	0	0	0	0	0	0	69.23%	39	2	1	0	0	0	0	0	0	0	0	0	0	0
24	Noel Acciari	Tampa Bay Lightning	C	4	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.07	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	Sammy Blais	Tampa Bay Lightning	LW	4	0	0	0	0	0	0	1	1	0	0	0	0%	0	2	0.65	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
26	Matthew Coronato	Wheeling Nailers (TB )	LW/RW	10	0	0	0	-3	2	0	15	2	6	1	3	0%	1	85	8.58	0	0	0	2	14	0	0	0	1	1	0	0	25.00%	4	0	0	0	0	0	0	0	0	0	0	0	0	0
27	Matthew Savoie	Wheeling Nailers (TB )	C	6	0	0	0	-2	0	0	3	0	0	0	1	0%	0	13	2.24	0	0	0	0	2	0	0	0	0	0	0	0	16.67%	6	0	0	0	0	0	0	0	0	0	0	0	0	0
28	Mattias Havelid	Wheeling Nailers (TB )	D	9	0	0	0	0	5	5	5	9	1	1	1	0%	5	111	12.40	0	0	0	0	1	0	0	0	0	5	0	0	0%	0	1	3	0	0	0	0	0	0	1	0	0	0	0
29	Noah Warren	Wheeling Nailers (TB )	D	1	0	0	0	0	0	0	0	0	0	0	0	0%	0	2	2.25	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
30	Nolan Allan	Wheeling Nailers (TB )	D	34	0	0	0	-1	2	0	2	3	1	0	0	0%	0	157	4.64	0	0	0	0	0	0	0	0	0	2	0	0	0%	0	0	1	0	0	0	0	0	0	0	0	0	0	0
31	Ryan McAllister	Wheeling Nailers (TB )	C/LW/RW	25	0	0	0	-2	2	0	15	11	2	1	0	0%	1	124	4.99	0	0	0	1	4	0	0	0	0	1	0	0	50.00%	6	0	3	0	0	0	0	0	0	0	0	0	0	0
32	Simon Robertson	Wheeling Nailers (TB )	RW	30	0	0	0	0	0	0	4	1	0	0	0	0%	0	32	1.08	0	0	0	0	0	0	0	0	0	0	0	0	0%	1	0	1	0	0	0	0	0	0	0	0	0	0	0
33	Topi Ronni	Wheeling Nailers (TB )	C	35	0	0	0	-1	2	0	2	2	1	0	1	0%	0	16	0.48	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	0	0	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				828	99	158	257	-199	264	40	842	1043	978	359	517	10.12%	356	12849	15.52	37	58	95	172	1087	1	2	3	17	608	11	5	51.46%	2194	209	273	1	2	0.40	2	7	2	2	4	11	14	17

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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	S2	S3
1	Ivan Prosvetov	Wheeling Nailers (TB )	39	12	22	4	0.862	3.06	2312	2	2	118	853	396	1	3	1.000	5	39	4	1	1
2	Eetu Makiniemi	Wheeling Nailers (TB )	2	0	0	1	0.857	4.29	56	0	0	4	28	16	0	0	0	0	0	39	0	0
Statistiques d’équipe totales ou en moyenne			41	12	22	5	0.862	3.09	2369	2	2	122	881	412	1	3		5	39	43	1	1

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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	Date de la Dernière Transaction	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
Alexander Holtz	Wheeling Nailers (TB )	LW/RW	22	2002-01-23	Yes	195 Lbs	6 ft0	No	No	N/A		No	No	6	2024-07-02	False	False	Pro & Farm	918,333$	0$	0$	No	918,333$	918,333$	918,333$	918,333$	918,333$	-	-	-	-	918,333$	918,333$	918,333$	918,333$	918,333$	925,000$	925,000$	925,000$	925,000$	No	No	No	No	No	-	-	-	-	Lien
Alexander Suzdalev	Wheeling Nailers (TB )	LW	20	2004-03-05	Yes	176 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
Dans Locmelis	Wheeling Nailers (TB )	C	20	2004-01-21	Yes	170 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
Eetu Makiniemi	Wheeling Nailers (TB )	G	25	1999-04-19	Yes	184 Lbs	6 ft2	No	No	N/A		No	No	2	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	867,500$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	No	-	-	-	-	-	-	-	-	Lien
Frank Nazar	Wheeling Nailers (TB )	C	20	2004-01-14	No	175 Lbs	5 ft9	No	No	N/A		No	No	6	2024-07-02	False	False	Pro & Farm	838,333$	0$	0$	No	838,333$	838,333$	838,333$	838,333$	838,333$	-	-	-	-	838,333$	838,333$	838,333$	838,333$	838,333$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-
Gavin Brindley	Wheeling Nailers (TB )	C	20	2004-10-05	Yes	175 Lbs	5 ft9	No	No	Prospect		No	No	6	2024-07-02	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	950,000$	950,000$	950,000$	-	-	-	-	950,000$	950,000$	950,000$	950,000$	950,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Lien
Ivan Prosvetov	Wheeling Nailers (TB )	G	25	1999-03-05	Yes	195 Lbs	6 ft5	No	No	N/A		No	No	6	2024-07-02	False	False	Pro & Farm	793,333$	0$	0$	No	793,333$	793,333$	793,333$	793,333$	793,333$	-	-	-	-	793,333$	793,333$	793,333$	793,333$	793,333$	1,000,000$	1,000,000$	1,000,000$	-	No	No	No	No	No	-	-	-	-	Lien
Jacob Melanson	Wheeling Nailers (TB )	RW	21	2003-04-22	Yes	205 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
Jakub Stancl	Wheeling Nailers (TB )	C/LW	19	2005-04-10	Yes	100 Lbs	4 ft0	No	No	Prospect		No	No	1	2024-07-19	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jere Innala	Wheeling Nailers (TB )	RW	26	1998-03-17	Yes	100 Lbs	4 ft0	No	No	Prospect		No	No	1	2024-07-19	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jimmy Snuggerud	Wheeling Nailers (TB )	RW	20	2004-06-01	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
Logan Mailloux	Wheeling Nailers (TB )	D	21	2003-04-15	Yes	220 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	-	-	-	-	-	-	-	-
Luke Hughes	Wheeling Nailers (TB )	D	21	2003-09-09	Yes	184 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	-	-	-	-
Luke Tuch	Wheeling Nailers (TB )	LW	22	2002-03-07	Yes	203 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
Martin Kaut	Wheeling Nailers (TB )	RW	25	1999-10-02	Yes	190 Lbs	6 ft2	No	No	N/A		No	No	2	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	863,333$	863,333$	863,333$	863,333$	863,333$	863,333$	863,333$	863,333$	No	-	-	-	-	-	-	-	-	Lien
Matthew Coronato	Wheeling Nailers (TB )	LW/RW	22	2002-11-14	Yes	183 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
Matthew Savoie	Wheeling Nailers (TB )	C	20	2004-01-01	Yes	179 Lbs	5 ft9	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
Mattias Havelid	Wheeling Nailers (TB )	D	20	2004-01-01	Yes	172 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
Noah Warren	Wheeling Nailers (TB )	D	20	2004-07-15	Yes	225 Lbs	6 ft5	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
Nolan Allan	Wheeling Nailers (TB )	D	21	2003-04-28	Yes	194 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
Paul Ludwinski	Wheeling Nailers (TB )	C	20	2004-04-23	Yes	172 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
Radek Faksa	Wheeling Nailers (TB )	C	30	1994-01-09	No	225 Lbs	6 ft3	No	No	Assign Manually		No	No	2	2024-07-29	False	False	Pro & Farm	3,250,000$	0$	0$	No	3,250,000$	-	-	-	-	-	-	-	-	3,250,000$	3,250,000$	3,250,000$	3,250,000$	3,250,000$	3,250,000$	3,250,000$	3,250,000$	3,250,000$	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Reid Schaefer	Wheeling Nailers (TB )	LW	21	2003-09-21	Yes	213 Lbs	6 ft3	No	No	N/A		No	No	6	2024-07-02	False	False	Pro & Farm	886,666$	0$	0$	No	886,666$	886,666$	886,666$	886,666$	886,666$	-	-	-	-	886,666$	886,666$	886,666$	886,666$	886,666$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-
Rem Pitlick	Wheeling Nailers (TB )	C/LW	27	1997-04-02	No	186 Lbs	5 ft11	No	No	N/A		No	No	6	2024-07-02	False	False	Pro & Farm	838,333$	0$	0$	No	838,333$	838,333$	838,333$	838,333$	838,333$	-	-	-	-	838,333$	838,333$	838,333$	838,333$	838,333$	917,831$	917,831$	917,831$	917,831$	No	No	No	No	No	-	-	-	-	Lien / Lien NHL
Ryan Chesley	Wheeling Nailers (TB )	D	20	2004-01-27	Yes	201 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
Ryan McAllister	Wheeling Nailers (TB )	C/LW/RW	22	2001-12-19	Yes	183 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
Ryker Evans	Wheeling Nailers (TB )	D	27	1997-08-16	Yes	189 Lbs	5 ft11	No	No	N/A		No	No	4	2024-07-02	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	800,000$	-	-	-	-	-	-	800,000$	800,000$	800,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	-	-	-	-	-	-	Lien
Scott Perunovich	Wheeling Nailers (TB )	D	26	1998-08-18	Yes	175 Lbs	5 ft10	No	No	N/A		No	No	2	2024-07-02	False	False	Pro & Farm	1,150,000$	0$	0$	No	1,150,000$	-	-	-	-	-	-	-	-	1,150,000$	950,000$	950,000$	950,000$	950,000$	950,000$	950,000$	950,000$	950,000$	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Sean Farrell	Wheeling Nailers (TB )	C	23	2001-11-02	Yes	175 Lbs	5 ft9	No	No	Trade	2024-07-06	No	No	6	2024-07-02	False	False	Pro & Farm	897,500$	0$	0$	No	897,500$	897,500$	897,500$	897,500$	897,500$	-	-	-	-	897,500$	897,500$	897,500$	897,500$	897,500$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-
Simon Robertson	Wheeling Nailers (TB )	RW	21	2003-02-05	Yes	190 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
Topi Ronni	Wheeling Nailers (TB )	C	20	2004-05-05	Yes	181 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
Tyler Boucher	Wheeling Nailers (TB )	RW	21	2003-01-16	Yes	205 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	-	-	-	-
Zion Nybeck	Wheeling Nailers (TB )	C/LW/RW	22	2002-05-12	Yes	183 Lbs	5 ft8	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

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
33	22.12	185 Lbs	5 ft11	6.97	890,480$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alexander Holtz	Radek Faksa	Tyler Boucher	40	1	2	2
2	Gavin Brindley	Alexander Suzdalev	Reid Schaefer	30	1	2	2
3	Alexander Suzdalev	Gavin Brindley	Radek Faksa	20	1	2	2
4	Zion Nybeck	Paul Ludwinski	Radek Faksa	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Luke Hughes	Ryker Evans	40	1	2	2
2	Scott Perunovich	Logan Mailloux	30	1	2	2
3	Ryker Evans	Luke Hughes	20	1	2	2
4	Luke Hughes	Ryker Evans	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alexander Holtz	Radek Faksa	Tyler Boucher	60	1	2	2
2	Gavin Brindley	Paul Ludwinski	Alexander Suzdalev	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Luke Hughes	Ryker Evans	60	1	2	2
2	Scott Perunovich	Logan Mailloux	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Radek Faksa	Alexander Holtz	60	1	2	2
2	Tyler Boucher	Gavin Brindley	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Luke Hughes	Ryker Evans	60	1	2	2
2	Scott Perunovich	Logan Mailloux	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Radek Faksa	60	1	2	2	Luke Hughes	Ryker Evans	60	1	2	2
2	Alexander Holtz	40	1	2	2	Scott Perunovich	Logan Mailloux	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Radek Faksa	Alexander Holtz	60	1	2	2
2	Tyler Boucher	Gavin Brindley	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Luke Hughes	Ryker Evans	60	1	2	2
2	Scott Perunovich	Logan Mailloux	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alexander Holtz	Radek Faksa	Tyler Boucher	Luke Hughes	Ryker Evans

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alexander Holtz	Radek Faksa	Tyler Boucher	Luke Hughes	Ryker Evans

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Radek Faksa, Gavin Brindley, Paul Ludwinski	Radek Faksa, Gavin Brindley	Paul Ludwinski

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Logan Mailloux, Luke Hughes, Ryker Evans	Luke Hughes	Ryker Evans, Luke Hughes

Tirs de pénalité
Radek Faksa, Alexander Holtz, Tyler Boucher, Gavin Brindley, Paul Ludwinski

Gardien
#1 : Ivan Prosvetov, #2 : Eetu Makiniemi

Lignes d’attaque personnalisées en prolongation
Radek Faksa, Alexander Holtz, Tyler Boucher, Frank Nazar, Simon Robertson, Gavin Brindley, Gavin Brindley, Paul Ludwinski, Zion Nybeck, Reid Schaefer, Alexander Suzdalev

Lignes de défense personnalisées en prolongation
Luke Hughes, Ryker Evans, Scott Perunovich, Logan Mailloux, Nolan Allan

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	Cleveland Monsters	8	1	5	0	0	1	1	0	15	26	-11	4	1	2	0	0	0	1	0	9	11	-2	4	0	3	0	0	1	0	0	6	15	-9	5	0.313	15	22	37	0	0	15	31	45	8	158	231	295	417	33	154	59	48	158	25	7	28.00%	24	8	66.67%	0	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518
2	Columbus River Dragons	3	1	2	0	0	0	0	0	6	9	-3	2	0	2	0	0	0	0	0	3	8	-5	1	1	0	0	0	0	0	0	3	1	2	2	0.333	6	9	15	0	0	15	31	45	8	66	231	295	417	33	103	25	16	61	9	2	22.22%	8	2	75.00%	0	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518
3	Greenville Swamp Rabbits	4	0	2	0	1	1	0	0	6	10	-4	2	0	2	0	0	0	0	0	1	5	-4	2	0	0	0	1	1	0	0	5	5	0	3	0.375	6	11	17	1	0	15	31	45	8	78	231	295	417	33	66	40	19	82	7	1	14.29%	7	2	71.43%	0	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518
4	Hershey Bears	2	1	0	0	1	0	0	0	5	1	4	1	1	0	0	0	0	0	0	3	0	3	1	0	0	0	1	0	0	0	2	1	1	4	1.000	5	8	13	0	1	15	31	45	8	52	231	295	417	33	21	8	8	39	12	2	16.67%	3	1	66.67%	0	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518
5	IUP Crimson Hawks	3	0	3	0	0	0	0	0	5	11	-6	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	5	8	13	1	0	15	31	45	8	70	231	295	417	33	69	29	14	55	10	1	10.00%	7	6	14.29%	0	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518
6	Lillehammer IK	3	1	0	0	1	1	0	0	11	9	2	2	1	0	0	0	1	0	0	7	6	1	1	0	0	0	1	0	0	0	4	3	1	5	0.833	11	19	30	0	0	15	31	45	8	92	231	295	417	33	95	39	14	57	13	6	46.15%	7	3	57.14%	0	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518
7	O'Fallon Madcats	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	15	31	45	8	35	231	295	417	33	20	6	2	28	5	2	40.00%	1	1	0.00%	0	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518
8	San Diego Spartans	6	1	3	0	1	1	0	0	14	24	-10	3	0	1	0	1	1	0	0	7	9	-2	3	1	2	0	0	0	0	0	7	15	-8	5	0.417	14	25	39	0	0	15	31	45	8	137	231	295	417	33	208	61	47	89	16	2	12.50%	21	5	76.19%	1	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518
9	Saskatoon Blades	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	15	31	45	8	12	231	295	417	33	18	3	2	20	3	2	66.67%	1	0	100.00%	0	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518
10	Sudbury Wolves	4	0	3	0	0	0	1	0	7	11	-4	1	0	1	0	0	0	0	0	0	2	-2	3	0	2	0	0	0	1	0	7	9	-2	2	0.250	7	10	17	1	0	15	31	45	8	64	231	295	417	33	63	19	24	79	8	4	50.00%	12	4	66.67%	0	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518
11	Sydney Ice Dogs	2	0	1	0	0	1	0	0	4	8	-4	0	0	0	0	0	0	0	0	0	0	0	2	0	1	0	0	1	0	0	4	8	-4	1	0.250	4	6	10	0	0	15	31	45	8	31	231	295	417	33	37	17	12	48	8	3	37.50%	6	2	66.67%	0	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518
12	Tucson Roadrunners	6	1	3	0	1	0	0	1	20	23	-3	2	1	1	0	0	0	0	0	7	5	2	4	0	2	0	1	0	0	1	13	18	-5	5	0.417	20	32	52	0	1	15	31	45	8	173	231	295	417	33	154	48	60	124	25	5	20.00%	14	5	64.29%	0	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518
	Total	43	6	24	0	5	5	2	1	98	140	-42	21	4	13	0	1	2	1	0	46	61	-15	22	2	11	0	4	3	1	1	52	79	-27	32	0.372	98	158	256	3	2	15	31	45	8	968	231	295	417	33	1008	354	266	840	141	37	26.24%	111	39	64.86%	1	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518
	_Since Last GM Reset	43	6	24	0	5	5	2	1	98	140	-42	21	4	13	0	1	2	1	0	46	61	-15	22	2	11	0	4	3	1	1	52	79	-27	32	0.372	98	158	256	3	2	15	31	45	8	968	231	295	417	33	1008	354	266	840	141	37	26.24%	111	39	64.86%	1	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518
	_Vs Conference	34	4	20	0	3	4	2	1	75	115	-40	15	2	10	0	1	1	1	0	30	44	-14	19	2	10	0	2	3	1	1	45	71	-26	23	0.338	75	120	195	2	1	15	31	45	8	742	231	295	417	33	805	275	228	669	103	26	25.24%	93	29	68.82%	1	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518
	_Vs Division	21	4	20	0	3	4	2	1	49	66	-17	10	2	10	0	1	1	1	0	21	29	-8	11	2	10	0	2	3	1	1	28	37	-9	23	0.548	49	79	128	2	2	15	31	45	8	505	231	295	417	33	470	173	131	437	76	16	21.05%	46	19	58.70%	0	459	851	53.94%	384	786	48.85%	280	510	54.90%	801	335	828	449	987	518

			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
43	32	W1	98	158	256	968	1008	354	266	840	3	2

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
43	6	24	5	5	2	1	98	140

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
21	4	13	1	2	1	0	46	61

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	2	11	4	3	1	1	52	79

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
3	6	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
141	37	26.24%	111	39	64.86%	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
231	295	417	33	15	31	45	8

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
459	851	53.94%	384	786	48.85%	280	510	54.90%

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
801	335	828	449	987	518

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	4	Cleveland Monsters	3	Wheeling Nailers	1	L			Sommaire du match
3	11	Wheeling Nailers	6	Tucson Roadrunners	5	W	X		Sommaire du match
4	17	Wheeling Nailers	2	Cleveland Monsters	3	L			Sommaire du match
6	27	Cleveland Monsters	3	Wheeling Nailers	4	W	X	X	Sommaire du match
8	38	Wheeling Nailers	4	Greenville Swamp Rabbits	3	W	X		Sommaire du match
9	46	Cleveland Monsters	2	Wheeling Nailers	4	W			Sommaire du match
11	52	Wheeling Nailers	2	Cleveland Monsters	3	L	X		Sommaire du match
12	61	Wheeling Nailers	2	Tucson Roadrunners	5	L			Sommaire du match
13	68	Columbus River Dragons	3	Wheeling Nailers	1	L			Sommaire du match
15	79	Wheeling Nailers	0	Sydney Ice Dogs	3	L			Sommaire du match
16	88	IUP Crimson Hawks	4	Wheeling Nailers	3	L			Sommaire du match
18	98	Wheeling Nailers	2	Tucson Roadrunners	3	L	X	X	Sommaire du match
19	105	Tucson Roadrunners	5	Wheeling Nailers	4	L			Sommaire du match
21	114	Wheeling Nailers	4	San Diego Spartans	3	W			Sommaire du match
22	122	Wheeling Nailers	1	Sudbury Wolves	3	L			Sommaire du match
23	126	Greenville Swamp Rabbits	2	Wheeling Nailers	0	L			Sommaire du match
24	136	Wheeling Nailers	3	Columbus River Dragons	1	W			Sommaire du match
26	144	Columbus River Dragons	5	Wheeling Nailers	2	L			Sommaire du match
28	156	Wheeling Nailers	2	San Diego Spartans	5	L			Sommaire du match
29	163	Lillehammer IK	3	Wheeling Nailers	2	L	X		Sommaire du match
31	176	Cleveland Monsters	3	Wheeling Nailers	0	L			Sommaire du match
32	184	Wheeling Nailers	4	Sydney Ice Dogs	5	L	X		Sommaire du match
33	192	Lillehammer IK	3	Wheeling Nailers	5	W			Sommaire du match
35	202	Wheeling Nailers	1	IUP Crimson Hawks	4	L			Sommaire du match
37	211	Wheeling Nailers	2	Cleveland Monsters	5	L			Sommaire du match
38	215	Sudbury Wolves	2	Wheeling Nailers	0	L			Sommaire du match
40	230	Tucson Roadrunners	0	Wheeling Nailers	3	W			Sommaire du match
42	240	Wheeling Nailers	4	Lillehammer IK	3	W	X		Sommaire du match
43	249	O'Fallon Madcats	4	Wheeling Nailers	3	L			Sommaire du match
45	260	Wheeling Nailers	1	Greenville Swamp Rabbits	2	L	X		Sommaire du match
47	267	IUP Crimson Hawks	3	Wheeling Nailers	1	L			Sommaire du match
48	278	Wheeling Nailers	3	Sudbury Wolves	4	L			Sommaire du match
49	284	San Diego Spartans	2	Wheeling Nailers	3	W	X		Sommaire du match
51	293	Wheeling Nailers	3	Tucson Roadrunners	5	L			Sommaire du match
53	300	Wheeling Nailers	1	San Diego Spartans	7	L			Sommaire du match
54	306	Greenville Swamp Rabbits	3	Wheeling Nailers	1	L			Sommaire du match
57	321	San Diego Spartans	4	Wheeling Nailers	3	L	X		Sommaire du match
58	327	Wheeling Nailers	3	Sudbury Wolves	2	W	X	X	Sommaire du match
60	337	Wheeling Nailers	2	Hershey Bears	1	W	X		Sommaire du match
62	346	San Diego Spartans	3	Wheeling Nailers	1	L			Sommaire du match
64	355	Wheeling Nailers	0	Cleveland Monsters	4	L			Sommaire du match
65	360	Saskatoon Blades	4	Wheeling Nailers	2	L			Sommaire du match
68	373	Hershey Bears	0	Wheeling Nailers	3	W			Sommaire du match
70	386	Wheeling Nailers	-	Sydney Ice Dogs	-
71	391	Columbus River Dragons	-	Wheeling Nailers	-
72	393	Wheeling Nailers	-	O'Fallon Madcats	-
74	410	Tucson Roadrunners	-	Wheeling Nailers	-
76	419	Wheeling Nailers	-	O'Fallon Madcats	-
77	426	Wheeling Nailers	-	Columbus River Dragons	-
79	433	Sydney Ice Dogs	-	Wheeling Nailers	-
81	447	Jacksonville Lizard Kings	-	Wheeling Nailers	-
82	454	Wheeling Nailers	-	Jacksonville Lizard Kings	-
84	463	Cleveland Monsters	-	Wheeling Nailers	-
87	476	Wheeling Nailers	-	Greenville Swamp Rabbits	-
88	481	Calgary Canucks	-	Wheeling Nailers	-
90	493	Wheeling Nailers	-	IUP Crimson Hawks	-
91	500	Saskatoon Blades	-	Wheeling Nailers	-
92	508	Wheeling Nailers	-	Tucson Roadrunners	-
94	517	Wheeling Nailers	-	Hershey Bears	-
95	522	O'Fallon Madcats	-	Wheeling Nailers	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
97	536	Sudbury Wolves	-	Wheeling Nailers	-
99	547	Wheeling Nailers	-	Utica Comets	-
100	556	Utica Comets	-	Wheeling Nailers	-
102	565	Wheeling Nailers	-	Lillehammer IK	-
103	572	Lillehammer IK	-	Wheeling Nailers	-
105	584	O'Fallon Madcats	-	Wheeling Nailers	-
106	586	Wheeling Nailers	-	Saskatoon Blades	-
108	603	Orlando Solar Bears	-	Wheeling Nailers	-
109	609	Wheeling Nailers	-	O'Fallon Madcats	-
111	622	Columbus River Dragons	-	Wheeling Nailers	-
112	627	Wheeling Nailers	-	Skelleftea AIK	-
115	640	Sudbury Wolves	-	Wheeling Nailers	-
116	647	Wheeling Nailers	-	Saskatoon Blades	-
118	658	Skelleftea AIK	-	Wheeling Nailers	-
120	667	Wheeling Nailers	-	Calgary Canucks	-
122	679	Greenville Swamp Rabbits	-	Wheeling Nailers	-
125	691	IUP Crimson Hawks	-	Wheeling Nailers	-
127	705	Sydney Ice Dogs	-	Wheeling Nailers	-
128	708	Wheeling Nailers	-	Columbus River Dragons	-
130	720	Wheeling Nailers	-	Orlando Solar Bears	-
132	724	Sydney Ice Dogs	-	Wheeling Nailers	-
134	730	Wheeling Nailers	-	Orlando Solar Bears	-

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
20	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
2,078,900$	2,938,583$	3,298,583$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	1,571,543$	0	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	67	28,960$	1,940,320$

Wheeling Nailers 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

Wheeling Nailers 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

Wheeling Nailers 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

Wheeling Nailers 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

Wheeling Nailers 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

	Wheeling Nailers
	GP: 43 \| W: 13 \| L: 24 \| OTL: 6 \| P: 32 GF: 98 \| GA: 140 \| PP%: 26.24% \| PK%: 64.86% DG: Matt Myers \| Morale : 21 \| Moyenne d’équipe : 53 Prochains matchs #386 vs Sydney Ice Dogs