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

Centre de jeu
	Wheeling Nailers 9-16-4, 22pts	4	FINAL	3	Lillehammer IK 21-3-4, 46pts

Team Stats
L1	Séquence	W1
4-9-1	Fiche domicile	10-2-2
5-7-3	Fiche domicile	11-1-2
3-5-2	Derniers 10 matchs	8-1-1
2.45	Buts par match	4.71
3.31	Buts contre par match	2.21
27.27%	Pourcentage en avantage numérique	22.73%
64.00%	Pourcentage en désavantage numérique	78.89%

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

FINAL

Wheeling Nailers
9-16-4, 22pts

Team Stats
W2	Séquence	L1
3-10-1	Fiche domicile	4-9-1
8-4-4	Fiche domicile	5-7-3
5-4-1	Derniers 10 matchs	3-5-2
2.30	Buts par match	2.45
2.67	Buts contre par match	3.31
35.06%	Pourcentage en avantage numérique	27.27%
75.73%	Pourcentage en désavantage numérique	64.00%

Wheeling Nailers
9-16-4, 22pts

Jour 45

Greenville Swamp Rabbits
13-10-5, 31pts

Statistiques d’équipe
L1	Séquence	W1
4-9-1	Fiche domicile	4-7-3
5-7-3	Fiche visiteur	9-3-2
3-5-2	10 derniers matchs	3-6-1
2.45	Buts par match	3.00
3.31	Buts contre par match	3.00
27.27%	Pourcentage en avantage numérique	29.33%
64.00%	Pourcentage en désavantage numérique	67.21%

IUP Crimson Hawks
16-11-1, 33pts

Jour 47

Wheeling Nailers
9-16-4, 22pts

Statistiques d’équipe
W1	Séquence	L1
10-5-0	Fiche domicile	4-9-1
6-6-1	Fiche visiteur	5-7-3
7-2-1	10 derniers matchs	3-5-2
3.21	Buts par match	2.45
2.86	Buts contre par match	2.45
35.23%	Pourcentage en avantage numérique	27.27%
79.01%	Pourcentage en désavantage numérique	64.00%

Wheeling Nailers
9-16-4, 22pts

Jour 48

Sudbury Wolves
16-11-1, 33pts

Statistiques d’équipe
L1	Séquence	OTL1
4-9-1	Fiche domicile	9-5-1
5-7-3	Fiche visiteur	7-6-0
3-5-2	10 derniers matchs	5-4-1
2.45	Buts par match	2.29
3.31	Buts contre par match	2.29
27.27%	Pourcentage en avantage numérique	22.06%
64.00%	Pourcentage en désavantage numérique	81.97%

Meneurs d'équipe
	Buts Alexander Holtz 11	Passes Luke Hughes 31

	Points Luke Hughes 42	Plus/Moins Luke Tuch 2

	Victoires Ivan Prosvetov 8	Pourcentage d’arrêts Ivan Prosvetov 0.868

Statistiques d’équipe
Buts pour 71 2.45 GFG	Tirs pour 690 23.79 Avg	Pourcentage en avantage numérique 27.3% 27 GF	Début de zone offensive 39.6%
Buts contre 96 3.31 GAA	Tirs contre 730 25.17 Avg	Pourcentage en désavantage numérique 64.0%% 27 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	9-16-4 (22PTS)
	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	26	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	34	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	35	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	37	57	0	25	2	775,000$
5	Gavin Brindley (R)	0	X				100.00	40	35	99	75	65	74	60	50	55	41	41	50	60	45	52	0	35	54	0	20	6	950,000$
6	Dans Locmelis (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$
7	Paul Ludwinski (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$
8	Reid Schaefer (R)	0		X			100.00	56	68	51	46	67	45	49	61	53	42	52	41	52	45	45	0	21	50	0	21	6	886,666$
9	Ryan McAllister (R)	0	X	X	X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	21	50	0	22	10	775,000$
10	Simon Robertson (R)	0			X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	27	50	0	21	10	775,000$
11	Topi Ronni (R)	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	23	50	0	20	10	775,000$
12	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	25	50	0	22	10	775,000$
13	Alexander Suzdalev (R)	0		X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	36	50	0	20	10	775,000$
14	Luke Hughes (R)	0				X	100.00	54	35	90	86	67	94	99	76	40	80	63	69	66	45	63	0	35	74	0	21	6	925,000$
15	Ryker Evans (R)	0				X	100.00	65	35	85	81	74	89	60	69	40	62	49	79	59	56	73	0	35	73	0	27	4	800,000$
16	Scott Perunovich (R)	0				X	100.00	51	35	93	80	66	80	65	65	40	69	49	65	58	52	67	0	28	67	0	26	2	1,150,000$
17	Logan Mailloux (R)	0				X	100.00	41	35	99	88	79	93	60	73	40	74	38	53	57	45	63	0	35	66	0	21	2	775,000$
18	Nolan Allan (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	30	50	0	21	10	775,000$
19	Ryan Chesley (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	24	50	0	20	10	775,000$
Rayé
1	Frank Nazar	0	X				100.00	40	35	99	81	65	82	60	50	55	41	57	50	66	45	56	0	24	57	0	20	6	838,333$
2	Rem Pitlick	0	X	X			100.00	44	35	93	79	71	81	60	50	55	41	41	50	60	56	70	0	20	56	0	27	6	838,333$
3	Jacob Melanson (R)	0			X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	25	50	0	21	10	775,000$
4	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$
5	Luke Tuch (R)	0		X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	23	50	0	22	10	775,000$
6	Matthew Coronato (R)	0		X	X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	25	50	0	21	10	775,000$
7	Matthew Savoie (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$
8	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	22	6	897,500$
9	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$
10	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$
11	Mattias Havelid (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	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$

	MOYENNE D’ÉQUIPE						100.00	48	45	60	57	55	56	54	51	47	50	48	50	51	47	50	0	26	52

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	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	40	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	41	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	29	11	31	42	-12	8	0	47	64	105	38	42	10.48%	51	825	28.48	9	10	19	26	88	0	1	1	0	58	2	0	0%	0	30	29	0	0	1.02	0	0	0	0	0	2	3	3
2	Radek Faksa	Wheeling Nailers (TB )	C	23	10	14	24	-8	4	0	37	63	89	25	46	11.24%	17	528	22.98	3	8	11	11	50	0	0	0	0	39	1	0	56.92%	506	15	8	1	0	0.91	0	1	0	0	0	2	0	2
3	Alexander Holtz	Wheeling Nailers (TB )	LW/RW	28	11	8	19	-5	2	0	40	55	75	27	48	14.67%	14	642	22.93	4	2	6	14	67	0	0	0	1	43	1	0	38.98%	59	22	12	0	1	0.59	0	1	0	0	0	2	2	1
4	Tyler Boucher	Wheeling Nailers (TB )	RW	29	8	11	19	1	34	0	75	34	58	22	33	13.79%	10	620	21.41	2	5	7	6	77	1	0	1	1	24	0	1	35.71%	70	8	14	0	0	0.61	1	2	0	0	0	1	1	2
5	Ryker Evans	Wheeling Nailers (TB )	D	29	2	12	14	-14	10	0	38	60	57	26	28	3.51%	39	762	26.28	0	3	3	9	80	0	0	0	0	49	0	0	0%	0	13	27	0	0	0.37	0	0	0	0	0	0	0	0
6	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
7	Rem Pitlick	Wheeling Nailers (TB )	C/LW	8	2	6	8	0	0	0	9	21	5	3	2	40.00%	3	174	21.77	0	3	3	2	23	0	0	0	0	7	0	0	46.45%	183	2	2	0	0	0.92	0	0	0	0	0	0	1	0
8	Martin Kaut	Wheeling Nailers (TB )	RW	29	7	1	8	-15	34	10	60	40	55	19	36	12.73%	8	558	19.24	4	0	4	13	65	0	0	0	0	3	2	0	40.74%	27	7	8	0	0	0.29	0	0	0	0	2	0	0	1
9	Frank Nazar	Wheeling Nailers (TB )	C	22	5	3	8	-10	0	0	14	40	28	8	14	17.86%	5	344	15.65	0	2	2	4	30	0	1	1	1	8	0	0	41.40%	186	6	2	0	0	0.46	0	0	0	0	0	0	1	1
10	Logan Mailloux	Wheeling Nailers (TB )	D	29	4	4	8	-7	0	0	7	40	39	17	13	10.26%	22	554	19.13	3	2	5	9	38	0	0	0	0	27	0	0	0%	0	4	18	0	0	0.29	0	0	0	0	0	0	0	1
11	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
12	Scott Perunovich	Wheeling Nailers (TB )	D	26	1	4	5	-7	9	5	20	43	22	12	11	4.55%	31	560	21.56	1	1	2	1	35	0	0	0	0	21	0	0	0%	0	8	20	0	0	0.18	0	0	1	0	0	0	0	0
13	Gavin Brindley	Wheeling Nailers (TB )	C	29	1	3	4	-11	0	0	31	38	29	8	11	3.45%	10	556	19.19	0	2	2	4	52	0	0	0	0	6	0	0	47.16%	229	5	14	0	0	0.14	0	0	0	0	0	0	0	0
14	Dans Locmelis	Wheeling Nailers (TB )	C	21	0	2	2	1	6	0	14	12	8	0	5	0%	0	173	8.27	0	0	0	1	5	0	0	0	0	9	0	0	47.22%	36	0	3	0	0	0.23	0	0	0	0	0	0	0	0
15	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
16	Zion Nybeck	Wheeling Nailers (TB )	C/LW/RW	29	2	0	2	-7	26	10	38	33	5	3	5	40.00%	2	317	10.94	0	0	0	0	0	0	0	0	0	0	0	1	63.64%	11	2	8	0	0	0.13	0	0	1	1	0	0	0	0
17	Alexander Suzdalev	Wheeling Nailers (TB )	LW	29	1	1	2	-8	17	5	45	35	14	8	13	7.14%	6	412	14.21	0	0	0	0	22	0	0	0	0	12	0	0	50.63%	79	2	6	0	0	0.10	0	0	0	0	1	0	0	0
18	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
19	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
20	Paul Ludwinski	Wheeling Nailers (TB )	C	22	0	1	1	-4	10	0	28	17	7	2	8	0%	4	245	11.17	0	0	0	1	13	0	0	0	0	14	0	0	46.59%	88	0	0	0	0	0.08	0	0	0	0	0	0	0	0
21	Ryan Chesley	Wheeling Nailers (TB )	D	23	0	1	1	-6	17	5	13	25	6	0	4	0%	10	311	13.56	0	1	1	1	25	0	0	0	0	12	0	0	0%	0	1	10	0	0	0.06	0	0	0	0	1	0	0	0
22	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
23	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
24	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
25	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
26	Matthew Savoie	Wheeling Nailers (TB )	C	4	0	0	0	-2	0	0	3	0	0	0	1	0%	0	13	3.36	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
27	Mattias Havelid	Wheeling Nailers (TB )	D	7	0	0	0	0	5	5	5	9	1	1	1	0%	5	93	13.38	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
28	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
29	Nolan Allan	Wheeling Nailers (TB )	D	20	0	0	0	-1	2	0	1	2	0	0	0	0%	0	84	4.24	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
30	Reid Schaefer	Wheeling Nailers (TB )	LW	15	0	0	0	-1	0	0	4	4	1	0	4	0%	0	82	5.52	0	0	0	0	1	0	0	0	0	11	0	0	100.00%	1	0	1	0	0	0	0	0	0	0	0	0	0	0
31	Ryan McAllister	Wheeling Nailers (TB )	C/LW/RW	15	0	0	0	-1	0	0	6	2	2	1	0	0%	0	59	3.93	0	0	0	1	2	0	0	0	0	0	0	0	66.67%	3	0	1	0	0	0	0	0	0	0	0	0	0	0
32	Simon Robertson	Wheeling Nailers (TB )	RW	16	0	0	0	0	0	0	1	1	0	0	0	0%	0	8	0.52	0	0	0	0	0	0	0	0	0	0	0	0	0%	1	0	0	0	0	0	0	0	0	0	0	0	0	0
33	Topi Ronni	Wheeling Nailers (TB )	C	21	0	0	0	-1	2	0	2	2	1	0	1	0%	0	14	0.71	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				560	73	114	187	-119	192	40	589	689	700	245	367	10.43%	270	8665	15.47	27	42	69	117	747	1	2	3	7	398	8	2	49.43%	1576	145	199	1	2	0.43	1	4	2	2	4	8	9	12

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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	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S2	S3
1	Ivan Prosvetov	Wheeling Nailers (TB )	25	8	14	2	0.868	3.18	1492	1	79	599	279	1	1	1.000	2	25	4	1	1
2	Eetu Makiniemi	Wheeling Nailers (TB )	1	0	0	1	0.833	2.40	25	0	1	6	3	0	0	0	0	0	25	0	0
Statistiques d’équipe totales ou en moyenne			26	8	14	3	0.868	3.16	1517	1	80	605	282	1	1		2	25	29	1	1

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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	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	21	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	22	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	22.06	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	Martin Kaut	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	Ryan Chesley	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	Martin Kaut	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	Ryan Chesley	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	Ryan Chesley	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	Ryan Chesley	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
Ryan Chesley, Luke Hughes, Ryker Evans	Ryan Chesley	Ryker Evans, Luke Hughes

Tirs de pénalité
Radek Faksa, Alexander Holtz, Tyler Boucher, Gavin Brindley, Martin Kaut

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

Lignes d’attaque personnalisées en prolongation
Radek Faksa, Alexander Holtz, Tyler Boucher, Ryan McAllister, Martin Kaut, 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, Ryan Chesley

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	7	1	4	0	0	1	1	0	15	22	-7	4	1	2	0	0	0	1	0	9	11	-2	3	0	2	0	0	1	0	0	6	11	-5	5	0.357	15	22	37	0	0	12	24	31	5	141	187	210	273	25	129	54	42	139	24	7	29.17%	21	8	61.90%	0	314	608	51.64%	269	562	47.86%	190	366	51.91%	540	232	574	302	650	337
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	12	24	31	5	66	187	210	273	25	103	25	16	61	9	2	22.22%	8	2	75.00%	0	314	608	51.64%	269	562	47.86%	190	366	51.91%	540	232	574	302	650	337
3	Greenville Swamp Rabbits	2	0	1	0	1	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	0	2	-2	1	0	0	0	1	0	0	0	4	3	1	2	0.500	4	8	12	0	0	12	24	31	5	45	187	210	273	25	37	20	7	51	3	0	0.00%	1	0	100.00%	0	314	608	51.64%	269	562	47.86%	190	366	51.91%	540	232	574	302	650	337
4	IUP Crimson Hawks	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	4	7	11	0	0	12	24	31	5	51	187	210	273	25	58	23	12	37	6	1	16.67%	6	5	16.67%	0	314	608	51.64%	269	562	47.86%	190	366	51.91%	540	232	574	302	650	337
5	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	12	24	31	5	92	187	210	273	25	95	39	14	57	13	6	46.15%	7	3	57.14%	0	314	608	51.64%	269	562	47.86%	190	366	51.91%	540	232	574	302	650	337
6	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	12	24	31	5	35	187	210	273	25	20	6	2	28	5	2	40.00%	1	1	0.00%	0	314	608	51.64%	269	562	47.86%	190	366	51.91%	540	232	574	302	650	337
7	San Diego Spartans	2	1	1	0	0	0	0	0	6	8	-2	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	6	8	-2	2	0.500	6	10	16	0	0	12	24	31	5	59	187	210	273	25	81	29	19	29	6	2	33.33%	7	2	71.43%	1	314	608	51.64%	269	562	47.86%	190	366	51.91%	540	232	574	302	650	337
8	Sudbury Wolves	2	0	2	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	1	2	1	0	12	24	31	5	30	187	210	273	25	35	12	14	33	3	0	0.00%	7	1	85.71%	0	314	608	51.64%	269	562	47.86%	190	366	51.91%	540	232	574	302	650	337
9	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	12	24	31	5	31	187	210	273	25	37	17	12	48	8	3	37.50%	6	2	66.67%	0	314	608	51.64%	269	562	47.86%	190	366	51.91%	540	232	574	302	650	337
10	Tucson Roadrunners	5	1	2	0	1	0	0	1	17	18	-1	2	1	1	0	0	0	0	0	7	5	2	3	0	1	0	1	0	0	1	10	13	-3	5	0.500	17	27	44	0	1	12	24	31	5	140	187	210	273	25	135	43	54	104	22	4	18.18%	11	3	72.73%	0	314	608	51.64%	269	562	47.86%	190	366	51.91%	540	232	574	302	650	337
	Total	29	5	16	0	3	3	1	1	71	96	-25	14	3	9	0	0	1	1	0	32	42	-10	15	2	7	0	3	2	0	1	39	54	-15	22	0.379	71	114	185	1	1	12	24	31	5	690	187	210	273	25	730	268	192	587	99	27	27.27%	75	27	64.00%	1	314	608	51.64%	269	562	47.86%	190	366	51.91%	540	232	574	302	650	337
	_Since Last GM Reset	29	5	16	0	3	3	1	1	71	96	-25	14	3	9	0	0	1	1	0	32	42	-10	15	2	7	0	3	2	0	1	39	54	-15	22	0.379	71	114	185	1	1	12	24	31	5	690	187	210	273	25	730	268	192	587	99	27	27.27%	75	27	64.00%	1	314	608	51.64%	269	562	47.86%	190	366	51.91%	540	232	574	302	650	337
	_Vs Conference	24	4	14	0	2	2	1	1	56	79	-23	11	2	8	0	0	0	1	0	22	32	-10	13	2	6	0	2	2	0	1	34	47	-13	17	0.354	56	88	144	1	1	12	24	31	5	547	187	210	273	25	577	206	166	493	80	20	25.00%	62	19	69.35%	1	314	608	51.64%	269	562	47.86%	190	366	51.91%	540	232	574	302	650	337
	_Vs Division	15	4	14	0	2	2	1	1	38	52	-14	7	2	8	0	0	0	1	0	16	23	-7	8	2	6	0	2	2	0	1	22	29	-7	17	0.567	38	62	100	0	1	12	24	31	5	368	187	210	273	25	390	134	103	329	53	12	22.64%	33	13	60.61%	0	314	608	51.64%	269	562	47.86%	190	366	51.91%	540	232	574	302	650	337

			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	22	L1	71	114	185	690	730	268	192	587	1	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	5	16	3	3	1	1	71	96

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	3	9	0	1	1	0	32	42

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	2	7	3	2	0	1	39	54

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
3	5	0	2	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
99	27	27.27%	75	27	64.00%	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
187	210	273	25	12	24	31	5

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
314	608	51.64%	269	562	47.86%	190	366	51.91%

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
540	232	574	302	650	337

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	-	Greenville Swamp Rabbits	-
47	267	IUP Crimson Hawks	-	Wheeling Nailers	-
48	278	Wheeling Nailers	-	Sudbury Wolves	-
49	284	San Diego Spartans	-	Wheeling Nailers	-
51	293	Wheeling Nailers	-	Tucson Roadrunners	-
53	300	Wheeling Nailers	-	San Diego Spartans	-
54	306	Greenville Swamp Rabbits	-	Wheeling Nailers	-
57	321	San Diego Spartans	-	Wheeling Nailers	-
58	327	Wheeling Nailers	-	Sudbury Wolves	-
60	337	Wheeling Nailers	-	Hershey Bears	-
62	346	San Diego Spartans	-	Wheeling Nailers	-
64	355	Wheeling Nailers	-	Cleveland Monsters	-
65	360	Saskatoon Blades	-	Wheeling Nailers	-
68	373	Hershey Bears	-	Wheeling Nailers	-
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
27	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
1,354,900$	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$	1,031,368$	0	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	92	28,960$	2,664,320$

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: 29 \| W: 9 \| L: 16 \| OTL: 4 \| P: 22 GF: 71 \| GA: 96 \| PP%: 27.27% \| PK%: 64.00% DG: Matt Myers \| Morale : 27 \| Moyenne d’équipe : 53 Prochains matchs #260 vs Greenville Swamp Rabbits