SHAretro - Snipers

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Accueil
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Client Web pour les lignes

Centre de jeu
	As 28-45-2, 65pts	2	FINAL	2	Snipers 36-35-2, 83pts

Team Stats
W1	Streak	W1
15-22-0	Home Record	19-15-0
13-23-2	Away Record	17-20-2
4-5-0	Last 10 Games	6-3-0
2.93	Goals Per Game	3.28
3.45	Goals Against Per Game	3.32
19.94%	Power Play Percentage	20.44%
83.33%	Penalty Kill Percentage	83.63%

Pacifiques de la route
27-47-2, 62pts

FINAL

Snipers
36-35-2, 83pts

Team Stats
L3	Streak	W1
14-25-1	Home Record	19-15-0
13-22-1	Away Record	17-20-2
3-6-0	Last 10 Games	6-3-0
2.82	Goals Per Game	3.28
3.50	Goals Against Per Game	3.32
14.58%	Power Play Percentage	20.44%
78.62%	Penalty Kill Percentage	83.63%

Meneurs d'équipe
	Buts Roger Johansson 12	Passes Roger Johansson 33

	Points Roger Johansson 45	Plus/Moins John Druce -9

	Victoires Geoff Sarjeant 25	Pourcentage d’arrêts Geoff Sarjeant 0.877

Statistiques d’équipe
Buts pour 269 3.28 GFG	Tirs pour 2356 28.73 Avg	Pourcentage en avantage numérique 20.4% 84 GF	Début de zone offensive 41.7%
Buts contre 272 3.32 GAA	Tirs contre 2144 26.15 Avg	Pourcentage en désavantage numérique 83.6% 46 GA	Début de la zone défensive 37.9%

Information d’équipe
	Directeur général	Farlou Ferland
	Entraîneur	Lou Lamoriello
	Division	Division 5
	Conférence	Campbell
	Capitaine	Brad Shaw
	Assistant #1	Bob Kudelski
	Assistant #2	Grant Ledyard
Informations de l’aréna
	Capacité	3,000
	Assistance	0
	Billets de saison	300
Information formation
	Équipe Pro	34
	Équipe Mineure	19
	Limite contact	53 / 65
	Espoirs	4

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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	Bobby Smith	X				100.00	62	52	70	63	77	69	72	70	65	69	67	77	65	98	99	1	79	68	0	36	2	694,000$
2	Bob Kudelski (A)		X			100.00	66	52	73	65	74	75	76	74	66	75	69	80	62	50	49	36	62	67	0	30	2	511,000$
3	Robert Kron			X		100.00	59	43	87	68	71	70	70	70	66	74	76	74	71	48	47	56	75	66	0	27	2	704,000$
4	Evgeny Davydov		X			100.00	63	47	82	70	72	70	72	70	66	67	74	70	70	46	40	49	75	65	0	28	1	575,000$
5	Jan Erixon		X			99.00	56	33	98	66	74	72	73	65	64	63	59	86	60	58	73	16	73	65	0	32	1	495,000$
6	Richard Park (R)	X				100.00	55	45	75	76	60	72	73	71	79	67	63	74	63	35	35	95	74	64	0	18	3	450,000$
7	Steve Tuttle			X		100.00	54	44	69	59	75	70	70	67	61	67	64	71	61	54	56	47	47	63	0	28	2	350,000$
8	Wayne Presley			X		100.00	58	53	74	70	71	70	75	66	66	66	65	65	68	43	53	42	44	63	0	29	2	514,000$
9	Brian Lawton	X				100.00	69	60	61	65	71	62	64	64	63	69	69	68	67	58	54	39	49	63	0	29	2	410,000$
10	Sean Pronger	X				100.00	57	48	80	68	76	65	66	65	62	67	64	70	61	34	40	90	66	62	0	22	1	300,000$
11	Mike Knuble (R)			X		100.00	55	45	76	67	78	70	70	60	55	62	60	72	57	30	39	93	68	61	0	22	1	200,000$
12	Steve Maltais		X			100.00	55	41	74	65	74	66	66	63	56	61	60	73	57	37	50	71	60	61	0	25	2	325,000$
13	Brad Shaw (C)				X	100.00	66	47	82	68	73	71	75	60	60	67	51	80	50	62	68	34	75	67	0	30	2	675,000$
14	Jim Kyte				X	100.00	80	76	51	63	79	66	71	55	52	57	43	82	40	68	70	36	32	66	0	30	2	575,000$
15	Brian Glynn				X	100.00	68	48	81	68	66	76	78	52	51	60	58	81	56	42	49	57	72	65	0	27	3	593,000$
16	Grant Ledyard (A)				X	100.00	52	38	87	60	76	73	73	57	57	58	49	80	50	77	82	10	75	65	0	33	2	652,000$
17	Jim Paek				X	100.00	66	48	72	66	73	70	70	62	60	70	58	78	55	36	49	59	18	64	0	27	3	512,000$
18	Marek Malik (R)				X	100.00	79	60	69	63	79	75	74	62	35	69	60	75	60	35	35	95	33	64	0	25	3	450,000$
Rayé
1	Kelly Kisio	X				100.00	67	57	72	71	67	72	74	68	68	72	69	64	70	81	75	1	20	67	0	35	1	650,000$
2	Jose Charbonneau			X		100.00	66	55	68	65	74	66	70	65	63	69	68	69	66	58	54	45	19	64	0	28	3	506,000$
3	Dave Chyzowski		X			100.00	74	61	59	65	74	64	68	64	60	65	64	75	62	43	45	88	19	63	0	23	2	386,000$
4	Ben Hankinson			X		100.00	66	61	60	66	77	66	67	62	59	64	63	74	62	33	33	70	20	61	0	25	2	386,000$
5	Viktor Gordiouk		X			100.00	52	45	74	71	70	66	66	64	58	66	65	59	64	35	32	78	20	60	0	24	1	275,000$
6	Rene Corbet (R)		X			100.00	61	52	62	70	72	70	68	59	56	63	57	68	55	32	32	93	19	59	0	21	1	285,000$
7	Craig Darby (R)	X				100.00	60	46	87	68	75	62	62	59	63	61	58	60	59	40	40	92	20	58	0	22	1	225,000$
8	Craig Wolanin				X	100.00	72	57	75	65	78	75	78	53	52	55	53	75	53	56	61	55	19	65	0	27	2	543,000$
9	Neil Wilkinson				X	100.00	71	58	72	69	72	68	71	58	58	60	40	81	40	52	60	52	35	65	0	27	3	608,000$
10	Darren Van Impe (R)				X	100.00	70	59	65	69	68	67	66	69	35	69	60	73	60	35	35	90	36	63	0	21	3	450,000$
11	Joby Messier				X	100.00	60	46	72	67	74	69	69	63	58	66	46	74	44	32	42	72	20	62	0	25	3	420,000$

	MOYENNE D’ÉQUIPE					99.97	63	51	73	67	73	69	71	63	59	65	60	73	59	49	52	57	46	64

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
1	Robb Stauber	100.00	73	76	73	72	73	74	85	85	82	71	72	56	59	55	24	72	0
2	Geoff Sarjeant	100.00	67	72	76	71	71	62	74	71	69	72	68	43	47	70	20	65	0
Rayé
1	Darrin Madeley	100.00	73	70	73	71	72	61	67	69	66	69	67	33	44	64	20	63	0
2	Jamie Storr (R)	100.00	72	68	62	72	64	69	62	69	70	63	69	35	35	90	26	62	0
3	Chad Erickson	100.00	70	72	71	71	71	44	65	73	61	65	58	30	39	78	20	60	0

	MOYENNE D’ÉQUIPE	100.00	71	72	71	71	70	62	71	73	70	68	67	39	45	71	22	64

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Lou Lamoriello	71	76	67	78	84	84	63	USA	53	1	95,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	FW	FL	FT	S1	S2	S3
1	Bobby Smith	Snipers (EDM)	C	81	32	46	78	15	46	10	159	238	224	46	145	14.29%	15	1633	20.17	9	20	29	66	293	2	0	2	7	247	4	3	55.51%	2234	0	0	0.95	0	0	2	4	9	4
2	Robert Kron	Snipers (EDM)	RW	82	31	41	72	-3	16	0	66	131	273	63	192	11.36%	6	1403	17.12	11	14	25	82	329	0	0	0	0	7	7	3	39.80%	98	0	0	1.03	0	0	0	7	2	5
3	Richard Park	Snipers (EDM)	C	82	32	40	72	-8	16	0	81	251	205	68	145	15.61%	10	1604	19.57	10	17	27	53	311	0	0	0	0	138	3	2	54.34%	2004	1	1	0.90	0	0	0	4	5	6
4	Bob Kudelski	Snipers (EDM)	LW	79	29	39	68	1	49	5	158	119	207	63	170	14.01%	8	1513	19.16	9	17	26	56	304	0	1	1	3	134	6	1	47.02%	151	1	0	0.90	0	0	1	9	3	2
5	Evgeny Davydov	Snipers (EDM)	LW	82	31	30	61	7	26	0	64	89	210	59	149	14.76%	9	1200	14.64	11	13	24	51	204	1	0	1	1	11	4	1	51.90%	79	1	1	1.02	0	0	0	3	0	3
6	Jan Erixon	Snipers (EDM)	LW	82	15	45	60	-10	8	0	40	155	198	69	183	7.58%	21	1717	20.94	3	19	22	43	297	0	2	2	5	258	2	2	52.99%	134	0	0	0.70	0	0	0	2	4	2
7	Grant Ledyard	Snipers (EDM)	D	82	16	31	47	-10	4	0	34	107	107	22	58	14.95%	85	1805	22.01	11	10	21	62	282	0	0	0	4	228	0	0	0.00%	0	0	0	0.52	0	0	0	2	0	3
8	Roger Johansson	Oilers	D	63	12	33	45	-18	57	5	112	100	102	35	62	11.76%	77	1362	21.63	7	10	17	60	226	1	0	1	3	68	0	0	0.00%	0	0	0	0.66	0	1	0	1	1	3
9	Brian Glynn	Snipers (EDM)	D	82	10	34	44	-7	81	5	165	100	122	43	79	8.20%	104	1802	21.98	5	11	16	80	288	0	2	2	0	204	1	0	0.00%	0	0	0	0.49	0	1	0	2	2	3
10	Marek Malik	Snipers (EDM)	D	74	9	29	38	-22	82	10	165	64	87	31	41	10.34%	87	1625	21.96	6	16	22	52	271	0	0	0	0	234	0	1	0.00%	0	0	0	0.47	0	1	0	0	1	1
11	Brad Shaw	Snipers (EDM)	D	82	3	30	33	-11	32	0	58	76	47	11	28	6.38%	91	1452	17.72	0	2	2	5	45	0	1	1	2	229	0	0	0.00%	0	1	0	0.45	0	0	0	0	2	2
12	Neil Wilkinson	Snipers (EDM)	D	63	3	25	28	-9	80	30	82	75	51	23	33	5.88%	44	1238	19.66	3	5	8	27	190	0	0	0	0	29	1	0	0.00%	0	0	0	0.45	2	0	4	1	0	0
13	Steve Maltais	Snipers (EDM)	LW	67	13	8	21	-19	12	0	40	72	102	37	62	12.75%	8	927	13.84	0	2	2	7	63	0	0	0	0	1	2	0	42.47%	73	2	0	0.45	0	0	0	2	0	0
14	Steve Tuttle	Snipers (EDM)	RW	57	7	11	18	-12	16	0	15	38	73	17	56	9.59%	6	691	12.13	1	1	2	2	8	0	0	0	0	1	2	0	48.78%	41	0	0	0.52	0	0	0	0	0	1
15	Mike Knuble	Snipers (EDM)	RW	77	10	7	17	-12	12	0	25	50	67	11	34	14.93%	13	784	10.19	0	2	2	5	63	0	0	0	2	88	2	0	42.86%	105	0	0	0.43	0	0	0	0	0	0
16	Sean Pronger	Snipers (EDM)	C	71	5	12	17	-6	18	0	22	78	71	11	46	7.04%	6	553	7.80	0	0	0	0	6	0	0	0	0	23	0	0	46.55%	565	0	0	0.61	0	0	0	1	1	2
17	Brian Lawton	Snipers (EDM)	C	57	3	10	13	-14	68	20	99	89	73	19	56	4.11%	4	686	12.05	0	0	0	0	0	0	0	0	0	0	0	1	50.07%	737	0	0	0.38	0	1	3	0	0	1
18	Darren Van Impe	Snipers (EDM)	D	58	3	9	12	-18	73	15	111	64	37	18	26	8.11%	49	1031	17.78	2	1	3	9	39	0	0	0	1	124	0	0	0.00%	0	0	0	0.23	0	2	1	0	1	1
19	Wayne Presley	Snipers (EDM)	RW	57	5	6	11	-4	15	5	35	19	32	5	24	15.63%	3	407	7.16	0	0	0	0	0	0	0	0	0	0	1	0	40.91%	22	0	0	0.54	0	1	0	0	3	0
20	Jim Kyte	Snipers (EDM)	D	24	0	11	11	2	55	15	59	23	14	4	11	0.00%	24	508	21.18	0	3	3	10	114	0	1	1	0	46	0	0	0.00%	0	0	0	0.43	1	0	2	0	0	0
21	Dave Chyzowski	Snipers (EDM)	LW	21	4	1	5	2	19	5	24	15	26	6	18	15.38%	1	173	8.24	0	0	0	0	0	0	0	0	0	1	1	0	62.50%	8	0	0	0.58	0	0	1	0	1	0
22	Jim Paek	Snipers (EDM)	D	18	1	3	4	-8	6	0	21	15	10	3	3	10.00%	16	292	16.23	0	0	0	2	16	0	0	0	0	6	0	0	0.00%	0	0	0	0.27	0	0	0	0	0	0
23	Jose Charbonneau	Snipers (EDM)	RW	15	0	2	2	-10	0	0	16	17	15	6	11	0.00%	1	187	12.47	0	1	1	7	27	0	0	0	1	13	0	0	61.54%	13	0	0	0.21	0	0	0	0	0	0
24	Craig Darby	Snipers (EDM)	C	25	1	1	2	-10	0	0	10	33	16	1	13	6.25%	3	263	10.53	0	0	0	0	3	0	0	0	0	4	0	0	49.63%	268	0	0	0.15	0	0	0	0	0	0
25	Ben Hankinson	Snipers (EDM)	RW	25	1	1	2	-10	23	5	34	22	24	10	14	4.17%	3	254	10.19	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	18	0	0	0.16	0	1	0	0	0	0
26	Kelly Kisio	Snipers (EDM)	C	11	1	1	2	-15	8	0	17	21	21	8	17	4.76%	1	158	14.41	1	0	1	5	30	0	0	0	0	10	0	0	54.59%	185	0	0	0.25	0	0	0	0	0	0
27	John Druce	Oilers	RW	7	0	1	1	-9	4	0	6	9	10	2	11	0.00%	0	99	14.22	0	0	0	1	9	0	0	0	0	19	0	0	75.00%	4	0	0	0.20	0	0	0	0	0	0
28	Craig Wolanin	Snipers (EDM)	D	5	0	1	1	-1	8	0	7	2	3	4	7	0.00%	6	100	20.05	0	1	1	3	23	0	0	0	0	4	0	0	0.00%	0	0	0	0.20	0	0	0	0	0	0
29	Rene Corbet	Snipers (EDM)	LW	6	0	0	0	-10	12	0	3	4	5	1	6	0.00%	0	60	10.15	0	0	0	0	0	0	0	0	0	0	0	0	33.33%	6	0	0	0.00	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1535	277	508	785	-229	846	130	1728	2076	2432	696	1700	11.39%	701	25540	16.64	89	165	254	688	3452	4	7	11	29	2140	36	14	52.62%	6745	6	2	0.61	3	8	14	38	35	39

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	ST	BG	S1	S2	S3
1	Geoff Sarjeant	Snipers (EDM)	62	25	23	8	0.877	3.23	3250	2	2	175	1418	1	1	57	25	2	2	1
2	Robb Stauber	Snipers (EDM)	18	9	7	1	0.871	3.10	1007	2	0	52	404	0	1	17	7	1	0	0
3	Jamie Storr	Snipers (EDM)	19	2	7	0	0.866	3.65	707	0	0	43	320	0	0	8	50	0	0	0
Statistiques d’équipe totales ou en moyenne			99	36	37	9	0.874	3.26	4965	4	2	270	2142	1	2	82	82	3	2	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	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3
Ben Hankinson	Snipers (EDM)	RW	25	1996-02-09 9:08:37 PM	No	210 Lbs	6 ft2	No	No	No	2	Pro & Farm	386,000$	38,600$	314$	No	386,000$
Bob Kudelski	Snipers (EDM)	LW	30	1991-02-09 9:08:37 PM	No	200 Lbs	6 ft1	No	No	No	2	Pro & Farm	511,000$	51,100$	415$	No	511,000$
Bobby Smith	Snipers (EDM)	C	36	1985-02-09 9:08:37 PM	No	210 Lbs	6 ft4	No	No	No	2	Pro & Farm	694,000$	69,400$	564$	No	694,000$
Brad Shaw	Snipers (EDM)	D	30	1991-02-09 9:08:37 PM	No	190 Lbs	6 ft0	No	No	No	2	Pro & Farm	675,000$	67,500$	549$	No	675,000$
Brian Glynn	Snipers (EDM)	D	27	1994-02-09 9:08:37 PM	No	165 Lbs	5 ft10	No	No	No	3	Pro & Farm	593,000$	59,300$	482$	No	593,000$	593,000$
Brian Lawton	Snipers (EDM)	C	29	1992-02-09 9:08:37 PM	No	180 Lbs	6 ft0	No	No	No	2	Pro & Farm	410,000$	41,000$	333$	No	410,000$
Chad Erickson	Snipers (EDM)	G	24	1997-02-09 9:08:37 PM	No	176 Lbs	5 ft9	No	No	No	2	Pro & Farm	150,000$	15,000$	122$	No	150,000$
Craig Darby	Snipers (EDM)	C	22	1999-02-09 9:08:37 PM	Yes	200 Lbs	6 ft3	No	No	No	1	Pro & Farm	225,000$	22,500$	183$	No
Craig Wolanin	Snipers (EDM)	D	27	1994-02-09 9:08:37 PM	No	207 Lbs	6 ft3	No	No	No	2	Pro & Farm	543,000$	54,300$	441$	No	543,000$
Darren Van Impe	Snipers (EDM)	D	21	2000-04-19 7:08:05 AM	Yes	193 Lbs	6 ft1	No	No	No	3	Pro & Farm	450,000$	45,000$	366$	No	450,000$	450,000$
Darrin Madeley	Snipers (EDM)	G	26	1995-02-09 9:08:37 PM	No	170 Lbs	5 ft11	No	No	No	3	Pro & Farm	376,000$	37,600$	306$	No	376,000$	376,000$
Dave Chyzowski	Snipers (EDM)	LW	23	1998-02-09 9:08:37 PM	No	200 Lbs	6 ft1	No	No	No	2	Pro & Farm	386,000$	38,600$	314$	No	386,000$
Evgeny Davydov	Snipers (EDM)	LW	28	1993-02-09 9:08:37 PM	No	183 Lbs	6 ft0	No	No	No	1	Pro & Farm	575,000$	57,500$	467$	No
Geoff Sarjeant	Snipers (EDM)	G	25	1996-02-09 9:08:37 PM	No	180 Lbs	5 ft9	No	No	No	1	Pro & Farm	325,000$	32,500$	264$	No
Grant Ledyard	Snipers (EDM)	D	33	1988-02-09 9:08:37 PM	No	202 Lbs	6 ft2	No	No	No	2	Pro & Farm	652,000$	65,200$	530$	No	652,000$
Jamie Storr	Snipers (EDM)	G	19	2002-04-20 8:23:47 AM	Yes	200 Lbs	6 ft2	No	No	No	3	Pro & Farm	450,000$	45,000$	366$	No	450,000$	450,000$
Jan Erixon	Snipers (EDM)	LW	32	1989-02-09 9:08:37 PM	No	196 Lbs	6 ft0	No	No	No	1	Pro & Farm	495,000$	49,500$	402$	No
Jim Kyte	Snipers (EDM)	D	30	1991-02-09 9:08:37 PM	No	211 Lbs	6 ft5	No	No	No	2	Pro & Farm	575,000$	57,500$	467$	No	575,000$
Jim Paek	Snipers (EDM)	D	27	1994-02-09 9:08:37 PM	No	195 Lbs	6 ft1	No	No	No	3	Pro & Farm	512,000$	51,200$	416$	No	512,000$	512,000$
Joby Messier	Snipers (EDM)	D	25	1996-02-09 9:08:37 PM	No	200 Lbs	6 ft1	No	No	No	3	Pro & Farm	420,000$	42,000$	341$	No	420,000$	420,000$
Jose Charbonneau	Snipers (EDM)	RW	28	1993-02-09 9:08:37 PM	No	195 Lbs	6 ft0	No	No	No	3	Pro & Farm	506,000$	50,600$	411$	No	506,000$	506,000$
Kelly Kisio	Snipers (EDM)	C	35	1986-02-09 9:08:37 PM	No	170 Lbs	5 ft9	No	No	No	1	Pro & Farm	650,000$	65,000$	528$	No
Marek Malik	Snipers (EDM)	D	25	1996-04-19 7:03:46 AM	Yes	233 Lbs	6 ft5	No	No	No	3	Pro & Farm	450,000$	45,000$	366$	No	450,000$	450,000$
Mike Knuble	Snipers (EDM)	RW	22	1999-02-09 9:08:37 PM	Yes	215 Lbs	6 ft3	No	No	No	1	Pro & Farm	200,000$	20,000$	163$	No
Neil Wilkinson	Snipers (EDM)	D	27	1994-02-09 9:08:37 PM	No	180 Lbs	6 ft3	No	No	No	3	Pro & Farm	608,000$	60,800$	494$	No	608,000$	608,000$
Rene Corbet	Snipers (EDM)	LW	21	2000-02-09 9:08:37 PM	Yes	187 Lbs	6 ft0	No	No	No	1	Pro & Farm	285,000$	28,500$	232$	No
Richard Park	Snipers (EDM)	C	18	2003-04-20 8:25:11 AM	Yes	190 Lbs	5 ft11	No	No	No	3	Pro & Farm	450,000$	45,000$	366$	No	450,000$	450,000$
Robb Stauber	Snipers (EDM)	G	27	1994-02-09 9:08:37 PM	No	170 Lbs	6 ft0	No	No	No	2	Pro & Farm	425,000$	42,500$	346$	No	425,000$
Robert Kron	Snipers (EDM)	RW	27	1994-02-09 9:08:37 PM	No	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	704,000$	70,400$	572$	No	704,000$
Sean Pronger	Snipers (EDM)	C	22	1999-02-09 9:08:37 PM	No	202 Lbs	6 ft3	No	No	No	1	Pro & Farm	300,000$	30,000$	244$	No
Steve Maltais	Snipers (EDM)	LW	25	1996-02-09 9:08:37 PM	No	205 Lbs	5 ft11	No	No	No	2	Pro & Farm	325,000$	32,500$	264$	No	325,000$
Steve Tuttle	Snipers (EDM)	RW	28	1993-02-09 9:08:37 PM	No	197 Lbs	6 ft1	No	No	No	2	Pro & Farm	350,000$	35,000$	285$	No	350,000$
Viktor Gordiouk	Snipers (EDM)	LW	24	1997-02-09 9:08:37 PM	No	178 Lbs	5 ft10	No	No	No	1	Pro & Farm	275,000$	27,500$	224$	No
Wayne Presley	Snipers (EDM)	RW	29	1992-02-09 9:08:37 PM	No	180 Lbs	5 ft11	No	No	No	2	Pro & Farm	514,000$	51,400$	418$	No	514,000$

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
34	26.38	193 Lbs	6 ft1	2.03	454,265$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jan Erixon	Bobby Smith	Robert Kron	35	0	3	2
2	Bob Kudelski	Richard Park	Evgeny Davydov	30	1	2	2
3	Steve Maltais	Brian Lawton	Steve Tuttle	25	1	2	2
4	Wayne Presley	Sean Pronger	Mike Knuble	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Marek Malik	Jim Kyte	38	0	3	2
2	Brian Glynn	Grant Ledyard	35	0	3	2
3	Brad Shaw	Jim Paek	27	0	3	2
4	Marek Malik	Jim Kyte	0	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Bob Kudelski	Richard Park	Robert Kron	60	0	0	5
2	Evgeny Davydov	Bobby Smith	Jan Erixon	40	0	0	5

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Marek Malik	Jim Kyte	60	0	0	5
2	Brian Glynn	Grant Ledyard	40	0	0	5

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Richard Park	Jan Erixon	60	0	5	0
2	Bobby Smith	Bob Kudelski	40	0	5	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brad Shaw	Jim Kyte	51	1	4	0
2	Grant Ledyard	Brian Glynn	49	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Richard Park	52	0	5	0	Brad Shaw	Jim Kyte	54	0	5	0
2	Bobby Smith	48	0	5	0	Grant Ledyard	Brian Glynn	46	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Richard Park	Bob Kudelski	53	0	3	2
2	Bobby Smith	Jan Erixon	47	0	3	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Marek Malik	Jim Paek	54	0	3	2
2	Grant Ledyard	Brian Glynn	46	0	3	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jan Erixon	Richard Park	Robert Kron	Marek Malik	Jim Kyte

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Bobby Smith	Richard Park	Jan Erixon	Brad Shaw	Brian Glynn

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Richard Park, Steve Maltais, Mike Knuble	Richard Park, Steve Maltais	Mike Knuble

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jim Paek, Marek Malik, Brad Shaw	Jim Paek	Marek Malik, Brad Shaw

Tirs de pénalité
Robert Kron, Evgeny Davydov, Bob Kudelski, Bobby Smith, Jan Erixon

Gardien
#1 : Geoff Sarjeant, #2 : Robb Stauber

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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	Ailes Rouges	6	4	1	1	0	0	0	0	20	14	6	3	2	1	0	0	0	0	0	13	9	4	3	2	0	1	0	0	0	0	7	5	2	9	0.750	20	40	60	0	0	93	79	90	7	171	789	760	779	28	138	39	66	101	32	5	15.63%	17	5	70.59%	1	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
2	As	6	2	2	1	1	0	0	0	22	21	1	3	0	1	1	1	0	0	0	7	9	-2	3	2	1	0	0	0	0	0	15	12	3	7	0.583	22	39	61	0	0	93	79	90	7	163	789	760	779	28	162	39	52	132	27	6	22.22%	18	4	77.78%	1	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
3	Banshees	4	1	1	1	0	1	0	0	12	12	0	2	0	1	1	0	0	0	0	3	6	-3	2	1	0	0	0	1	0	0	9	6	3	4	0.500	12	22	34	0	0	93	79	90	7	108	789	760	779	28	92	31	37	65	15	5	33.33%	15	2	86.67%	0	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
4	Canadiens	4	0	4	0	0	0	0	0	8	19	-11	2	0	2	0	0	0	0	0	3	10	-7	2	0	2	0	0	0	0	0	5	9	-4	0	0.000	8	14	22	0	0	93	79	90	7	94	789	760	779	28	119	19	48	86	20	4	20.00%	11	2	81.82%	0	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
5	Chiefs	4	2	2	0	0	0	0	0	18	15	3	2	2	0	0	0	0	0	0	12	6	6	2	0	2	0	0	0	0	0	6	9	-3	4	0.500	18	35	53	0	0	93	79	90	7	146	789	760	779	28	104	30	32	75	29	9	31.03%	9	3	66.67%	1	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
6	Citadelles	4	1	2	0	1	0	0	0	11	19	-8	2	0	1	0	1	0	0	0	5	10	-5	2	1	1	0	0	0	0	0	6	9	-3	4	0.500	11	18	29	0	0	93	79	90	7	119	789	760	779	28	114	27	28	68	16	3	18.75%	12	3	75.00%	0	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
7	Croque-Morts	6	3	2	0	1	0	0	0	22	16	6	3	2	0	0	1	0	0	0	12	5	7	3	1	2	0	0	0	0	0	10	11	-1	8	0.667	22	39	61	0	0	93	79	90	7	160	789	760	779	28	155	45	43	116	30	6	20.00%	15	3	80.00%	0	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
8	Harvard	4	2	1	0	1	0	0	0	19	13	6	2	1	1	0	0	0	0	0	9	8	1	2	1	0	0	1	0	0	0	10	5	5	6	0.750	19	35	54	0	0	93	79	90	7	104	789	760	779	28	92	31	32	70	20	5	25.00%	12	3	75.00%	0	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
9	Isotopes	4	1	2	1	0	0	0	0	12	10	2	2	0	1	1	0	0	0	0	5	6	-1	2	1	1	0	0	0	0	0	7	4	3	3	0.375	12	19	31	0	1	93	79	90	7	117	789	760	779	28	108	29	30	59	15	3	20.00%	14	1	92.86%	0	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
10	Mooses	8	2	3	1	1	1	0	0	20	26	-6	4	1	2	1	0	0	0	0	9	15	-6	4	1	1	0	1	1	0	0	11	11	0	8	0.500	20	35	55	0	0	93	79	90	7	208	789	760	779	28	247	76	58	165	28	3	10.71%	28	5	82.14%	1	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
11	Pacifiques de la route	9	6	3	0	0	0	0	0	31	29	2	4	4	0	0	0	0	0	0	17	11	6	5	2	3	0	0	0	0	0	14	18	-4	12	0.667	31	56	87	0	0	93	79	90	7	253	789	760	779	28	203	60	134	185	71	13	18.31%	51	8	84.31%	0	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
12	Riverman	8	3	3	2	0	0	0	0	28	27	1	4	1	2	1	0	0	0	0	13	14	-1	4	2	1	1	0	0	0	0	15	13	2	8	0.500	28	50	78	1	0	93	79	90	7	243	789	760	779	28	231	68	100	184	49	9	18.37%	40	3	92.50%	0	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
13	Spoonman's	5	1	2	1	1	0	0	0	16	17	-1	3	1	0	1	1	0	0	0	13	8	5	2	0	2	0	0	0	0	0	3	9	-6	5	0.500	16	29	45	0	1	93	79	90	7	173	789	760	779	28	122	41	36	103	22	7	31.82%	17	2	88.24%	0	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
14	Weetouches	4	0	4	0	0	0	0	0	12	18	-6	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	6	10	-4	0	0.000	12	21	33	0	0	93	79	90	7	123	789	760	779	28	107	27	31	80	16	3	18.75%	11	2	81.82%	0	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
15	Wolves	6	1	3	1	1	0	0	0	18	16	2	3	0	1	1	1	0	0	0	9	9	0	3	1	2	0	0	0	0	0	9	7	2	5	0.417	18	32	50	1	0	93	79	90	7	174	789	760	779	28	150	61	49	100	21	3	14.29%	11	0	100.00%	0	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
	Total	82	29	35	9	7	2	0	0	269	272	-3	41	14	15	7	5	0	0	0	136	134	2	41	15	20	2	2	2	0	0	133	138	-5	83	0.506	269	484	753	2	2	93	79	90	7	2356	789	760	779	28	2144	623	776	1589	411	84	20.44%	281	46	83.63%	4	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
	_Since Last GM Reset	82	38	35	0	7	2	0	0	269	272	-3	41	14	15	7	5	0	0	0	136	134	2	41	24	20	-7	2	2	0	0	133	138	-5	92	0.561	269	484	753	2	2	93	79	90	7	2356	789	760	779	28	2144	623	776	1589	411	84	20.44%	281	46	83.63%	4	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
	_Vs Conference	49	27	17	0	4	1	0	0	161	149	12	24	10	7	4	3	0	0	0	80	72	8	25	17	10	-4	1	1	0	0	81	77	4	63	0.643	161	291	452	2	0	93	79	90	7	1372	789	760	779	28	1286	388	502	983	258	45	17.44%	180	28	84.44%	3	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546
	_Vs Division	25	14	9	0	1	1	0	0	79	82	-3	12	6	4	2	0	0	0	0	39	40	-1	13	8	5	-2	1	1	0	0	40	42	-2	31	0.620	79	141	220	1	0	93	79	90	7	704	789	760	779	28	681	204	292	534	148	25	16.89%	119	16	86.55%	1	1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%	1975	1331	1904	642	1096	546

			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
82	83	W1	269	484	753	2356	2144	623	776	1589	2	2

Tous les matchs
GP	W	L	OTW	OTL	T	GF	GA
82	29	35	7	2	9	269	272

Matchs locaux
GP	W	L	OTW	OTL	T	GF	GA
41	14	15	5	0	7	136	134

Matchs extérieurs
GP	W	L	OTW	OTL	T	GF	GA
41	15	20	2	2	2	133	138

Derniers 10 matchs
W	L	OTW	OTL	T
6	3	0	0	1

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
411	84	20.44%	281	46	83.63%	4

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
789	760	779	28	93	79	90	7

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
1471	2811	52.33%	1356	2554	53.09%	722	1380	52.32%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
1975	1331	1904	642	1096	546

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	RI	Lien
1 - 2021-05-04	1	Pacifiques de la route	2	Snipers	3	W			Sommaire du match
2 - 2021-05-05	11	Snipers	2	Pacifiques de la route	4	L			Sommaire du match
4 - 2021-05-07	23	Riverman	3	Snipers	1	L		R2	Sommaire du match
5 - 2021-05-08	29	Snipers	5	Riverman	7	L			Sommaire du match
6 - 2021-05-09	34	Snipers	3	Croque-Morts	5	L			Sommaire du match
7 - 2021-05-10	40	Snipers	1	Pacifiques de la route	4	L			Sommaire du match
8 - 2021-05-11	47	Mooses	6	Snipers	1	L			Sommaire du match
9 - 2021-05-12	60	Snipers	4	Mooses	3	W			Sommaire du match
11 - 2021-05-14	63	As	2	Snipers	3	W	X		Sommaire du match
13 - 2021-05-16	76	Riverman	6	Snipers	4	L		R2	Sommaire du match
15 - 2021-05-18	79	Snipers	1	Riverman	1	T	X		Sommaire du match
17 - 2021-05-20	91	Snipers	5	Pacifiques de la route	3	W			Sommaire du match
19 - 2021-05-22	96	Ailes Rouges	2	Snipers	7	W			Sommaire du match
21 - 2021-05-24	105	Wolves	3	Snipers	2	L			Sommaire du match
23 - 2021-05-26	116	Mooses	2	Snipers	2	T	X		Sommaire du match
28 - 2021-05-31	129	Croque-Morts	1	Snipers	5	W			Sommaire du match
29 - 2021-06-01	135	Snipers	4	Weetouches	5	L			Sommaire du match
30 - 2021-06-02	143	Snipers	6	Riverman	3	W		R2	Sommaire du match
31 - 2021-06-03	151	Banshees	5	Snipers	2	L			Sommaire du match
33 - 2021-06-05	160	Snipers	4	Isotopes	0	W			Sommaire du match
34 - 2021-06-06	166	Harvard	6	Snipers	4	L			Sommaire du match
35 - 2021-06-07	174	Snipers	3	Harvard	2	W	X		Sommaire du match
36 - 2021-06-08	182	Snipers	1	Wolves	2	L			Sommaire du match
38 - 2021-06-10	189	Weetouches	4	Snipers	3	L			Sommaire du match
40 - 2021-06-12	198	Snipers	2	Wolves	4	L			Sommaire du match
42 - 2021-06-14	205	Riverman	3	Snipers	3	T	X	R2	Sommaire du match
44 - 2021-06-16	214	Snipers	7	Harvard	3	W			Sommaire du match
46 - 2021-06-18	221	Weetouches	4	Snipers	3	L			Sommaire du match
48 - 2021-06-20	230	Wolves	2	Snipers	3	W	X		Sommaire du match
50 - 2021-06-22	238	Snipers	6	Wolves	1	W			Sommaire du match
52 - 2021-06-24	245	Snipers	2	Weetouches	5	L			Sommaire du match
53 - 2021-06-25	252	Snipers	3	Isotopes	4	L			Sommaire du match
55 - 2021-06-27	260	Croque-Morts	2	Snipers	4	W			Sommaire du match
56 - 2021-06-28	268	Croque-Morts	2	Snipers	3	W	X		Sommaire du match
57 - 2021-06-29	276	Snipers	3	Mooses	2	W	X		Sommaire du match
59 - 2021-07-01	285	As	5	Snipers	2	L			Sommaire du match
60 - 2021-07-02	293	Snipers	4	As	1	W			Sommaire du match
61 - 2021-07-03	301	Isotopes	4	Snipers	4	T	X		Sommaire du match
62 - 2021-07-04	309	Snipers	3	Riverman	2	W		R2	Sommaire du match
64 - 2021-07-06	318	Citadelles	7	Snipers	1	L			Sommaire du match
65 - 2021-07-07	327	Canadiens	4	Snipers	1	L			Sommaire du match
67 - 2021-07-09	334	Snipers	3	Pacifiques de la route	2	W			Sommaire du match
69 - 2021-07-11	344	Spoonman's	5	Snipers	5	T	X		Sommaire du match
70 - 2021-07-12	349	Snipers	2	Canadiens	5	L			Sommaire du match
71 - 2021-07-13	358	Harvard	2	Snipers	5	W			Sommaire du match
74 - 2021-07-16	367	Snipers	3	Pacifiques de la route	5	L			Sommaire du match
75 - 2021-07-17	374	Snipers	2	Ailes Rouges	2	T	X		Sommaire du match
76 - 2021-07-18	381	Wolves	4	Snipers	4	T	X		Sommaire du match
78 - 2021-07-20	390	Chiefs	2	Snipers	4	W			Sommaire du match
79 - 2021-07-21	399	Snipers	3	Canadiens	4	L			Sommaire du match
80 - 2021-07-22	405	Spoonman's	0	Snipers	4	W			Sommaire du match
82 - 2021-07-24	413	Snipers	3	Spoonman's	5	L			Sommaire du match
83 - 2021-07-25	422	Citadelles	3	Snipers	4	W	X		Sommaire du match
85 - 2021-07-27	431	Snipers	2	Mooses	3	L	X		Sommaire du match
86 - 2021-07-28	439	Pacifiques de la route	3	Snipers	4	W			Sommaire du match
88 - 2021-07-30	448	Snipers	4	Banshees	5	L	X		Sommaire du match
89 - 2021-07-31	454	Spoonman's	3	Snipers	4	W	X		Sommaire du match
91 - 2021-08-02	464	Snipers	0	Spoonman's	4	L			Sommaire du match
92 - 2021-08-03	470	Ailes Rouges	5	Snipers	2	L			Sommaire du match
93 - 2021-08-04	481	Snipers	5	Croque-Morts	3	W			Sommaire du match
94 - 2021-08-05	485	Banshees	1	Snipers	1	T	X		Sommaire du match
96 - 2021-08-07	497	Snipers	4	Citadelles	3	W			Sommaire du match
97 - 2021-08-08	503	Mooses	5	Snipers	3	L			Sommaire du match
98 - 2021-08-09	508	Snipers	3	Ailes Rouges	2	W			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
99 - 2021-08-10	517	Snipers	2	Croque-Morts	3	L			Sommaire du match
100 - 2021-08-11	524	Chiefs	4	Snipers	8	W			Sommaire du match
102 - 2021-08-13	535	Mooses	2	Snipers	3	W			Sommaire du match
103 - 2021-08-14	541	Snipers	2	Mooses	3	L			Sommaire du match
104 - 2021-08-15	547	Snipers	5	Chiefs	6	L			Sommaire du match
105 - 2021-08-16	556	Pacifiques de la route	2	Snipers	4	W			Sommaire du match
106 - 2021-08-17	563	Snipers	1	Chiefs	3	L			Sommaire du match
107 - 2021-08-18	572	Canadiens	6	Snipers	2	L			Sommaire du match
109 - 2021-08-20	583	Ailes Rouges	2	Snipers	4	W			Sommaire du match
110 - 2021-08-21	587	Snipers	5	Banshees	1	W			Sommaire du match
111 - 2021-08-22	596	Snipers	2	Ailes Rouges	1	W			Sommaire du match
113 - 2021-08-24	604	Riverman	2	Snipers	5	W		R2	Sommaire du match
114 - 2021-08-25	614	Isotopes	2	Snipers	1	L			Sommaire du match
115 - 2021-08-26	621	Snipers	5	As	7	L			Sommaire du match
117 - 2021-08-28	629	Snipers	2	Citadelles	6	L			Sommaire du match
118 - 2021-08-29	636	Snipers	6	As	4	W			Sommaire du match
119 - 2021-08-30	640	As	2	Snipers	2	T	X		Sommaire du match
121 - 2021-09-01	654	Pacifiques de la route	4	Snipers	6	W			Sommaire du match

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
0	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs
1,632,422$	1,544,500$	1,544,500$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
1,544,500$	1,632,422$	34	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	1	13,329$	13,329$

Afficher ou masquer des colonnes

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

	Snipers
	GP: 82 \| W: 36 \| L: 35 \| T: 9 \| P: 83 GF: 269 \| GA: 272 \| PP%: 20.44% \| PK%: 83.63% DG: Farlou Ferland \| Morale : 54 \| Moyenne d’équipe : 64