Association Québécoise de Hockey Simulé

Association Québécoise de Hockey Simulé - Bandits

Bandits

GP: 20 | W: 14 | L: 5 | OTL: 1 | P: 29
GF: 84 | GA: 71 | PP%: 36.84% | PK%: 72.55%
DG: Guillaume Blais-Lortie | Morale : 90 | Moyenne d'Équipe : 61
Prochain matchs #324 vs Igloos

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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
1	Trevor Moore			X		95.00	69	45	89	85	59	85	71	65	30	66	64	72	86	88	82	0	90	67	0
2	Kirill Marchenko (R)		X			95.00	59	45	88	83	70	81	71	62	30	46	79	62	85	82	75	0	90	66	0
3	Phillip Di Giuseppe		X			100.00	86	45	82	84	62	73	40	61	30	56	66	74	69	89	81	0	90	65	0
4	Josh Archibald		X			99.00	99	48	76	81	50	50	75	53	30	48	58	87	66	90	77	0	90	64	0
5	Jay Beagle	X				100.00	80	48	73	74	77	69	40	47	87	42	52	75	50	96	87	0	90	63	0
6	Sam Carrick	X				100.00	89	69	50	77	66	53	63	51	79	46	55	67	65	91	79	0	90	62	0
7	Joey Anderson (R)			X		100.00	67	45	95	78	69	59	46	55	30	46	63	78	66	84	73	0	90	62	0
8	Jack Studnicka (R)			X		100.00	75	45	86	79	61	53	58	52	78	47	57	64	66	84	72	0	90	61	0
9	Nils Hoglander (R)			X		100.00	65	45	88	84	52	60	40	60	30	60	60	60	68	82	71	0	90	61	0
10	Aliaksei Protas (R)	X				100.00	61	45	89	76	90	58	70	56	30	56	56	58	67	82	71	0	90	61	0
11	Kyle Burroughs				X	100.00	99	69	60	78	57	72	58	50	30	45	55	78	65	87	78	0	90	66	0
12	Josh Mahura (R)				X	97.00	74	45	79	82	53	58	99	54	30	52	56	70	66	84	72	0	90	66	0
13	Matt Irwin				X	100.00	90	57	79	77	65	54	74	49	30	44	54	69	50	95	83	0	90	65	0
14	Sean Walker				X	100.00	71	45	81	80	56	62	85	53	30	52	55	69	66	88	77	0	90	65	0
15	Riley Stillman				X	100.00	83	57	75	79	61	61	60	52	30	51	52	64	66	85	74	0	90	63	0
16	Nikita Okhotyuk (R)				X	100.00	81	45	92	76	60	50	40	48	30	40	56	66	50	82	70	0	90	60	0
17	Ronald Attard				X	100.00	50	45	95	74	71	70	40	45	30	40	50	68	50	84	75	0	90	60	0
18	Chris Wideman				X	100.00	58	48	47	80	47	56	56	50	30	51	50	61	65	93	81	0	90	60	0
Rayé
1	Rasmus Asplund (R)	X				100.00	57	45	93	80	56	55	56	52	30	51	54	66	66	85	73	0	90	58	0
2	Brett Leason			X		100.00	60	45	88	75	85	55	65	52	30	45	59	55	66	83	71	0	90	58	0
3	Rudolfs Balcers			X		100.00	53	45	90	82	55	51	40	55	30	48	62	55	67	86	73	0	90	58	0
4	Jeffrey Viel (R)		X			100.00	52	45	92	75	72	50	40	45	30	40	50	62	50	86	73	0	90	54	0
5	Tristen Robins (R)	X				100.00	50	45	95	79	50	69	40	45	30	40	50	61	50	81	72	0	90	54	0
6	Joey Keane (R)				X	100.00	50	45	95	77	54	50	40	45	30	40	50	55	50	84	71	0	90	56	0
7	Declan Chisholm (R)				X	100.00	50	45	95	78	55	50	40	45	30	40	50	55	50	83	70	0	90	56	0
8	Jordan Spence (R)				X	100.00	50	45	95	78	47	58	40	47	30	44	50	56	50	82	70	0	90	56	0
9	Ben Gleason (R)				X	100.00	50	45	95	78	53	50	40	45	30	40	50	55	50	85	72	0	90	56	0

	MOYENNE D'ÉQUIPE					99.48	68	48	84	79	61	60	55	52	36	47	56	65	62	86	75	0	90	61

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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
1	Justus Annunen (R)	96.00	70	50	62	91	70	70	70	70	70	70	70	82	69	0	90	62	0
2	Mikko Koskinen	100.00	70	40	40	90	65	65	65	65	65	65	65	93	90	0	90	60	0
Rayé
1	Adam Wilcox	100.00	70	40	40	83	65	65	65	65	65	65	65	85	70	0	90	58	0

	MOYENNE D'ÉQUIPE	98.67	70	43	47	88	67	67	67	67	67	67	67	87	76	0	90	60

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Andrew Brunette	65	65	65	65	84	78	72	CAN	50	4	1,800,000$

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Trevor Moore	Bandits (OTT)	RW	20	14	20	34	4	0	0	37	35	72	32	61	19.44%	14	438	21.93	3	8	11	13	54	0	1	1	1	39	2	1	46.74%	92	32	9	1	0	1.55	1	2	0	0	0	3	4	1
2	Phillip Di Giuseppe	Bandits (OTT)	LW	20	6	17	23	-1	7	5	36	23	77	23	50	7.79%	6	384	19.21	2	10	12	13	48	0	0	0	2	28	0	0	50.00%	24	25	9	0	0	1.20	0	1	0	0	1	1	1	1
3	Kirill Marchenko	Bandits (OTT)	LW	15	12	10	22	5	17	5	19	20	77	25	48	15.58%	5	338	22.57	5	5	10	14	38	1	0	1	1	27	2	3	36.36%	22	21	8	0	0	1.30	1	1	1	0	0	2	2	3
4	Jay Beagle	Bandits (OTT)	C	19	7	14	21	4	20	0	33	38	26	11	16	26.92%	7	335	17.66	3	7	10	7	53	0	0	0	0	0	2	0	64.19%	458	5	3	0	0	1.25	0	1	0	0	0	2	0	3
5	Sam Carrick	Bandits (OTT)	C	20	7	14	21	0	17	5	44	34	34	9	22	20.59%	12	342	17.12	4	4	8	7	44	0	0	0	0	0	1	0	63.56%	247	5	8	0	0	1.23	0	0	1	0	0	1	0	0
6	Joey Anderson	Bandits (OTT)	RW	20	7	9	16	0	7	5	17	20	53	18	29	13.21%	7	318	15.94	2	1	3	7	32	0	0	0	0	0	1	1	56.25%	16	13	7	0	0	1.00	0	0	0	1	0	1	1	1
7	Aliaksei Protas	Bandits (OTT)	C	20	5	8	13	-5	2	0	23	14	33	7	25	15.15%	7	296	14.82	0	0	0	0	7	0	0	0	1	4	0	1	45.24%	126	11	7	0	0	0.88	0	1	0	0	0	0	1	0
8	Matt Irwin	Bandits (OTT)	D	18	4	6	10	-4	11	5	21	20	21	10	5	19.05%	14	386	21.49	3	1	4	7	44	0	0	0	2	24	1	0	0.00%	0	6	21	0	0	0.52	1	1	1	0	0	0	0	1
9	Josh Archibald	Bandits (OTT)	LW	20	6	4	10	-5	8	0	50	24	35	12	22	17.14%	7	344	17.24	1	2	3	2	15	0	0	0	1	25	1	0	60.00%	5	8	8	0	0	0.58	0	1	0	0	0	1	1	0
10	Conor Garland	Ottawa Lumberjacks	RW	5	5	4	9	0	4	0	7	11	30	7	17	16.67%	0	118	23.72	3	2	5	6	16	0	0	0	1	9	0	0	57.69%	26	6	3	0	1	1.52	0	1	0	0	0	1	0	1
11	Sean Walker	Bandits (OTT)	D	19	2	6	8	-3	18	10	20	26	23	8	9	8.70%	14	422	22.22	2	3	5	4	50	0	0	0	0	34	2	0	0.00%	0	4	30	0	0	0.38	0	0	0	1	1	0	0	0
12	Nils Hoglander	Bandits (OTT)	RW	20	2	4	6	-4	2	0	23	14	42	10	19	4.76%	3	256	12.81	0	0	0	1	2	0	0	0	0	4	0	0	36.36%	11	9	4	0	0	0.47	0	1	0	0	0	0	1	0
13	Kyle Burroughs	Bandits (OTT)	D	13	0	6	6	-2	20	10	24	19	13	11	12	0.00%	20	309	23.81	0	2	2	1	35	0	0	0	0	24	0	0	0.00%	0	6	20	0	0	0.39	0	0	0	0	2	0	1	0
14	Chris Wideman	Bandits (OTT)	D	17	0	4	4	2	10	0	14	8	8	3	2	0.00%	7	288	16.99	0	0	0	0	19	0	0	0	0	13	0	0	0.00%	0	2	17	0	0	0.28	0	0	0	0	0	0	0	0
15	Jeffrey Viel	Bandits (OTT)	LW	5	1	2	3	0	2	0	6	5	1	0	2	100.00%	0	70	14.01	0	0	0	0	0	0	0	0	0	3	0	0	40.00%	5	2	1	0	0	0.86	0	0	0	0	0	0	0	0
16	Josh Mahura	Bandits (OTT)	D	6	0	3	3	-1	0	0	5	13	7	1	2	0.00%	9	144	24.00	0	2	2	1	19	0	0	0	0	15	0	0	0.00%	0	4	6	0	0	0.42	0	1	0	0	0	0	0	1
17	Rasmus Asplund	Bandits (OTT)	C	9	0	2	2	-3	0	0	8	4	6	0	4	0.00%	1	73	8.14	0	0	0	0	0	0	0	0	0	3	0	0	39.39%	33	2	3	0	0	0.55	0	0	0	0	0	0	0	0
18	Ronald Attard	Bandits (OTT)	D	20	2	0	2	1	0	0	3	11	15	3	2	13.33%	7	301	15.09	0	0	0	0	9	0	0	0	0	10	0	0	0.00%	0	0	17	0	0	0.13	0	0	0	0	0	1	0	0
19	Riley Stillman	Bandits (OTT)	D	20	1	1	2	-2	23	15	26	18	6	7	10	16.67%	18	362	18.14	0	1	1	0	33	0	0	0	0	17	0	0	0.00%	1	4	15	0	0	0.11	0	0	1	1	1	0	0	1
20	Rudolfs Balcers	Bandits (OTT)	RW	12	1	1	2	3	0	0	2	2	3	1	1	33.33%	0	62	5.19	0	0	0	0	7	0	0	0	0	0	1	0	52.94%	17	0	0	0	0	0.64	0	0	0	0	0	0	0	0
21	Jack Studnicka	Bandits (OTT)	RW	17	1	0	1	-4	2	0	11	6	8	0	3	12.50%	3	122	7.20	0	0	0	0	4	0	0	0	0	3	0	1	87.50%	8	2	3	0	0	0.16	0	0	0	0	0	0	0	0
22	Jordan Spence	Bandits (OTT)	D	1	0	1	1	1	0	0	1	2	1	0	1	0.00%	1	15	15.40	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0	0	1.30	0	0	0	0	0	0	0	0
23	Brett Leason	Bandits (OTT)	RW	6	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	19	3.32	0	0	0	0	0	0	0	0	0	0	0	0	33.33%	3	0	0	0	0	0.00	0	0	0	0	0	0	0	0
24	Declan Chisholm	Bandits (OTT)	D	1	0	0	0	0	0	0	1	1	0	0	0	0.00%	0	13	13.45	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	2	0	0	0.00	0	0	0	0	0	0	0	0
25	Nikita Okhotyuk	Bandits (OTT)	D	17	0	0	0	0	0	0	12	10	8	2	4	0.00%	5	188	11.10	0	0	0	1	6	0	0	0	0	8	0	0	50.00%	2	3	7	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				360	83	136	219	-14	170	60	443	378	600	200	366	13.83%	167	5955	16.54	28	48	76	84	545	1	1	2	9	298	13	7	57.94%	1096	170	208	1	1	0.74	3	11	4	3	5	13	12	13

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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	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	GA	SA	SAR	A	PS %	PSA	ST	BG	S2
1	Justus Annunen	Bandits (OTT)	20	14	5	1	0.868	3.51	1178	69	521	273	3	0.818	11	20	0	1
2	Mikko Koskinen	Bandits (OTT)	2	0	0	0	0.917	1.88	32	1	12	4	0	0.000	0	0	20	0
Stats d'équipe Total ou en Moyenne			22	14	5	1	0.869	3.47	1210	70	533	277	3	0.818	11	20	20	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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial
Adam Wilcox	Bandits (OTT)	G	30	1992-10-12	No	189 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	500,000$	0$	0$	No
Aliaksei Protas	Bandits (OTT)	C	22	2001-01-06	Yes	225 Lbs	6 ft6	No	No	No	2	Avec Restriction	Pro & Farm	950,000$	0$	0$	No
Ben Gleason	Bandits (OTT)	D	24	1998-10-12	Yes	180 Lbs	6 ft1	No	No	No	4	Avec Restriction	Pro & Farm	800,000$	0$	0$	No
Brett Leason	Bandits (OTT)	RW	24	1999-04-30	No	218 Lbs	6 ft5	No	No	No	2	Avec Restriction	Pro & Farm	950,000$	0$	0$	No
Chris Wideman	Bandits (OTT)	D	33	1990-01-07	No	181 Lbs	5 ft10	No	No	No	3	Sans Restriction	Pro & Farm	950,000$	0$	0$	No
Declan Chisholm	Bandits (OTT)	D	23	2000-01-12	Yes	185 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	800,000$	0$	0$	No
Jack Studnicka	Bandits (OTT)	RW	24	1999-02-18	Yes	187 Lbs	6 ft1	No	No	No	4	Avec Restriction	Pro & Farm	800,000$	0$	0$	No
Jay Beagle	Bandits (OTT)	C	38	1984-10-16	No	210 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	800,000$	0$	0$	No
Jeffrey Viel	Bandits (OTT)	LW	26	1997-01-28	Yes	205 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	800,000$	0$	0$	No
Joey Anderson	Bandits (OTT)	RW	25	1998-06-19	Yes	207 Lbs	6 ft0	No	No	No	4	Avec Restriction	Pro & Farm	800,000$	0$	0$	No
Joey Keane	Bandits (OTT)	D	24	1999-07-02	Yes	187 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	800,000$	0$	0$	No
Jordan Spence	Bandits (OTT)	D	22	2001-02-24	Yes	180 Lbs	5 ft10	No	No	No	2	Avec Restriction	Pro & Farm	1,000,000$	0$	0$	No
Josh Archibald	Bandits (OTT)	LW	30	1992-10-06	No	176 Lbs	5 ft10	No	No	No	3	Sans Restriction	Pro & Farm	1,000,000$	0$	0$	No
Josh Mahura	Bandits (OTT)	D	25	1998-05-05	Yes	185 Lbs	6 ft0	No	No	No	4	Avec Restriction	Pro & Farm	1,250,000$	0$	0$	No
Justus Annunen	Bandits (OTT)	G	23	2000-03-11	Yes	210 Lbs	6 ft4	No	No	No	2	Avec Restriction	Pro & Farm	800,000$	0$	0$	No
Kirill Marchenko	Bandits (OTT)	LW	23	2000-07-21	Yes	197 Lbs	6 ft3	No	No	No	4	Avec Restriction	Pro & Farm	1,200,000$	0$	0$	No
Kyle Burroughs	Bandits (OTT)	D	28	1995-07-12	No	193 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	900,000$	0$	0$	No
Matt Irwin	Bandits (OTT)	D	35	1987-11-29	No	200 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	800,000$	0$	0$	No
Mikko Koskinen	Bandits (OTT)	G	35	1988-07-18	No	202 Lbs	6 ft7	No	No	No	2	Sans Restriction	Pro & Farm	3,500,000$	0$	0$	No
Nikita Okhotyuk	Bandits (OTT)	D	22	2000-12-04	Yes	195 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	800,000$	0$	0$	No
Nils Hoglander	Bandits (OTT)	RW	22	2000-12-20	Yes	185 Lbs	5 ft9	No	No	No	3	Avec Restriction	Pro & Farm	1,000,000$	0$	0$	No
Phillip Di Giuseppe	Bandits (OTT)	LW	29	1993-10-09	No	193 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	900,000$	0$	0$	No
Rasmus Asplund	Bandits (OTT)	C	25	1997-12-03	Yes	185 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	1,250,000$	0$	0$	No
Riley Stillman	Bandits (OTT)	D	25	1998-03-09	No	196 Lbs	6 ft1	No	No	No	4	Avec Restriction	Pro & Farm	1,000,000$	0$	0$	No
Ronald Attard	Bandits (OTT)	D	24	1999-03-20	No	208 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	1,025,000$	0$	0$	No
Rudolfs Balcers	Bandits (OTT)	RW	26	1997-04-08	No	182 Lbs	5 ft11	No	No	No	4	Avec Restriction	Pro & Farm	900,000$	0$	0$	No
Sam Carrick	Bandits (OTT)	C	31	1992-02-04	No	200 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	850,000$	0$	0$	No
Sean Walker	Bandits (OTT)	D	28	1994-11-13	No	195 Lbs	5 ft11	No	No	No	4	Sans Restriction	Pro & Farm	750,000$	0$	0$	No
Trevor Moore	Bandits (OTT)	RW	28	1995-03-31	No	195 Lbs	5 ft10	No	No	No	4	Sans Restriction	Pro & Farm	2,000,000$	0$	0$	No
Tristen Robins	Bandits (OTT)	C	21	2001-11-15	Yes	176 Lbs	5 ft10	No	No	No	4	Avec Restriction	Pro & Farm	800,000$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
30	26.50	194 Lbs	6 ft1	2.77	1,022,500$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Kirill Marchenko	Jay Beagle	Trevor Moore	35	1	2	2
2	Phillip Di Giuseppe	Sam Carrick	Joey Anderson	30	1	2	2
3	Josh Archibald	Aliaksei Protas	Nils Hoglander	25	1	2	2
4	Kirill Marchenko	Trevor Moore	Jack Studnicka	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kyle Burroughs	Josh Mahura	35	1	2	2
2	Sean Walker	Matt Irwin	30	1	2	2
3	Riley Stillman	Chris Wideman	25	1	2	2
4	Ronald Attard	Nikita Okhotyuk	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Kirill Marchenko	Jay Beagle	Trevor Moore	55	1	2	2
2	Phillip Di Giuseppe	Sam Carrick	Joey Anderson	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kyle Burroughs	Josh Mahura	55	1	2	2
2	Sean Walker	Matt Irwin	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Trevor Moore	Kirill Marchenko	55	1	2	2
2	Phillip Di Giuseppe	Josh Archibald	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kyle Burroughs	Josh Mahura	55	1	2	2
2	Sean Walker	Matt Irwin	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Trevor Moore	55	1	2	2	Kyle Burroughs	Josh Mahura	55	1	2	2
2	Kirill Marchenko	45	1	2	2	Sean Walker	Matt Irwin	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Trevor Moore	Kirill Marchenko	55	1	2	2
2	Phillip Di Giuseppe	Josh Archibald	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kyle Burroughs	Josh Mahura	55	1	2	2
2	Sean Walker	Matt Irwin	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Kirill Marchenko	Jay Beagle	Trevor Moore	Kyle Burroughs	Josh Mahura

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Kirill Marchenko	Jay Beagle	Trevor Moore	Kyle Burroughs	Josh Mahura

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Aliaksei Protas, Nils Hoglander, Jack Studnicka	Aliaksei Protas, Nils Hoglander	Jack Studnicka

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Riley Stillman, Chris Wideman, Ronald Attard	Riley Stillman	Chris Wideman, Ronald Attard

Tirs de Pénalité
Trevor Moore, Kirill Marchenko, Phillip Di Giuseppe, Josh Archibald, Jay Beagle

Gardien
#1 : Justus Annunen, #2 : Mikko Koskinen

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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

	Ligue												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	CoolFm	2	0	1	0	0	0	1	0	5	8	-3	1	0	0	0	0	0	1	0	4	3	1	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	5	6	11	0	0	17	38	24	6	73	182	229	175	24	46	13	10	47	6	0	0.00%	5	3	40.00%	0	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
2	Goons	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	17	38	24	6	26	182	229	175	24	36	13	11	21	2	0	0.00%	3	0	100.00%	0	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
3	Hunters	3	2	0	0	1	0	0	0	13	10	3	2	1	0	0	1	0	0	0	9	7	2	1	1	0	0	0	0	0	0	4	3	1	6	1.000	13	22	35	0	0	17	38	24	6	75	182	229	175	24	66	14	12	41	11	4	36.36%	7	1	85.71%	0	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
4	Husky	3	2	1	0	0	0	0	0	15	11	4	1	0	1	0	0	0	0	0	1	5	-4	2	2	0	0	0	0	0	0	14	6	8	4	0.667	15	24	39	0	0	17	38	24	6	94	182	229	175	24	83	27	29	85	12	6	50.00%	7	1	85.71%	1	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
5	Igloos	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	7	11	0	0	17	38	24	6	24	182	229	175	24	22	7	9	23	8	2	25.00%	2	0	100.00%	0	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
6	Marmots	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	8	4	4	4	1.000	11	18	29	0	0	17	38	24	6	75	182	229	175	24	44	15	16	52	7	3	42.86%	3	0	100.00%	0	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
7	Saguenéens	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	2	3	5	0	0	17	38	24	6	36	182	229	175	24	33	13	4	31	1	1	100.00%	2	1	50.00%	0	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
8	Spartans	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	6	9	0	0	17	38	24	6	21	182	229	175	24	31	17	0	17	3	1	33.33%	0	0	0.00%	0	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
	Total	20	9	5	0	4	0	1	1	84	71	13	10	4	2	0	2	0	1	1	42	36	6	10	5	3	0	2	0	0	0	42	35	7	29	0.725	84	136	220	0	0	17	38	24	6	600	182	229	175	24	533	167	170	443	76	28	36.84%	51	14	72.55%	1	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
10	Twins	1	1	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	9	2	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	14	23	0	0	17	38	24	6	44	182	229	175	24	27	6	19	18	10	5	50.00%	2	0	100.00%	0	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
11	Vandals	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	7	12	0	0	17	38	24	6	27	182	229	175	24	18	2	6	18	4	2	50.00%	3	2	33.33%	0	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
12	Vipers	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	5	4	1	2	1.000	5	7	12	0	0	17	38	24	6	21	182	229	175	24	41	11	13	20	2	1	50.00%	4	2	50.00%	0	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
13	Xpress	3	0	2	0	0	0	0	1	9	15	-6	2	0	1	0	0	0	0	1	8	13	-5	1	0	1	0	0	0	0	0	1	2	-1	1	0.167	9	17	26	0	0	17	38	24	6	84	182	229	175	24	86	29	41	70	10	3	30.00%	13	4	69.23%	0	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
	_Since Last GM Reset	20	9	5	0	4	0	1	1	84	71	13	10	4	2	0	2	0	1	1	42	36	6	10	5	3	0	2	0	0	0	42	35	7	29	0.725	84	136	220	0	0	17	38	24	6	600	182	229	175	24	533	167	170	443	76	28	36.84%	51	14	72.55%	1	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
	_Vs Conference	15	7	4	0	2	0	1	1	60	54	6	8	2	2	0	2	0	1	1	28	31	-3	7	5	2	0	0	0	0	0	32	23	9	21	0.700	60	99	159	0	0	17	38	24	6	451	182	229	175	24	383	118	128	339	56	18	32.14%	40	9	77.50%	1	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
	_Vs Division	13	5	4	0	2	0	1	1	49	49	0	7	1	2	0	2	0	1	1	25	30	-5	6	4	2	0	0	0	0	0	24	19	5	17	0.654	49	81	130	0	0	17	38	24	6	376	182	229	175	24	339	103	112	287	49	15	30.61%	37	9	75.68%	1	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
20	29	OTW1	84	136	220	600	533	167	170	443	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	9	5	4	0	1	1	84	71

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	4	2	2	0	1	1	42	36

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	5	3	2	0	0	0	42	35

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	3	2	0	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
76	28	36.84%	51	14	72.55%	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
182	229	175	24	17	38	24	6

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
238	421	56.53%	205	353	58.07%	192	311	61.74%

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
377	192	456	185	377	190

Derniers Match 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 - 2024-04-06	7	Bandits	10	Husky	3	W			Sommaire du Match
3 - 2024-04-08	24	Xpress	6	Bandits	5	L	X	X	Sommaire du Match
4 - 2024-04-09	37	Marmots	1	Bandits	3	W			Sommaire du Match
7 - 2024-04-12	67	Hunters	5	Bandits	6	W	X		Sommaire du Match
9 - 2024-04-14	88	Bandits	4	Husky	3	W			Sommaire du Match
10 - 2024-04-15	96	Bandits	1	CoolFm	5	L			Sommaire du Match
11 - 2024-04-16	108	CoolFm	3	Bandits	4	W	X	X	Sommaire du Match
12 - 2024-04-17	129	Goons	2	Bandits	3	W	X		Sommaire du Match
14 - 2024-04-19	141	Bandits	1	Xpress	2	L			Sommaire du Match
15 - 2024-04-20	158	Bandits	4	Igloos	3	W			Sommaire du Match
16 - 2024-04-21	167	Bandits	3	Spartans	2	W	X		Sommaire du Match
17 - 2024-04-22	182	Xpress	7	Bandits	3	L			Sommaire du Match
19 - 2024-04-24	195	Bandits	4	Hunters	3	W			Sommaire du Match
20 - 2024-04-25	212	Hunters	2	Bandits	3	W			Sommaire du Match
22 - 2024-04-27	232	Husky	5	Bandits	1	L			Sommaire du Match
24 - 2024-04-29	248	Bandits	2	Saguenéens	6	L			Sommaire du Match
25 - 2024-04-30	262	Twins	2	Bandits	9	W			Sommaire du Match
27 - 2024-05-02	281	Vandals	3	Bandits	5	W			Sommaire du Match
28 - 2024-05-03	300	Bandits	8	Marmots	4	W			Sommaire du Match
29 - 2024-05-04	309	Bandits	5	Vipers	4	W	X		Sommaire du Match
31 - 2024-05-06	324	Igloos	-	Bandits	-
32 - 2024-05-07	342	CoolFm	-	Bandits	-
34 - 2024-05-09	353	Bandits	-	Thugs	-
35 - 2024-05-10	373	Wolves	-	Bandits	-
37 - 2024-05-12	395	Bandits	-	Raptors	-
38 - 2024-05-13	406	Chiwawa	-	Bandits	-
39 - 2024-05-14	416	Bandits	-	Igloos	-
42 - 2024-05-17	440	TigersCats	-	Bandits	-
43 - 2024-05-18	455	Bandits	-	Scorpions	-
44 - 2024-05-19	471	Bandits	-	Supreme	-
45 - 2024-05-20	475	Bandits	-	Farmers	-
46 - 2024-05-21	490	Scorpions	-	Bandits	-
47 - 2024-05-22	507	Bandits	-	Spartans	-
48 - 2024-05-23	519	Supreme	-	Bandits	-
50 - 2024-05-25	539	Igloos	-	Bandits	-
52 - 2024-05-27	560	Xpress	-	Bandits	-
54 - 2024-05-29	579	Bandits	-	Husky	-
56 - 2024-05-31	595	Bandits	-	Barracudas	-
57 - 2024-06-01	602	Husky	-	Bandits	-
59 - 2024-06-03	622	Saguenéens	-	Bandits	-
60 - 2024-06-04	638	Bandits	-	Grizzlies	-
62 - 2024-06-06	655	Smirnoff Ice	-	Bandits	-
63 - 2024-06-07	668	Bandits	-	Smirnoff Ice	-
64 - 2024-06-08	683	Bandits	-	Snowbirds	-
65 - 2024-06-09	694	Bandits	-	Predateurs	-
66 - 2024-06-10	707	Predateurs	-	Bandits	-
67 - 2024-06-11	720	Bandits	-	Vandals	-
69 - 2024-06-13	738	Thugs	-	Bandits	-
71 - 2024-06-15	759	Barracudas	-	Bandits	-
72 - 2024-06-16	778	Bandits	-	Wolves	-
73 - 2024-06-17	788	Goons	-	Bandits	-
75 - 2024-06-19	811	Marlies	-	Bandits	-
76 - 2024-06-20	821	Bandits	-	Hunters	-
77 - 2024-06-21	839	Outlaws	-	Bandits	-
79 - 2024-06-23	856	Bandits	-	Marlies	-
80 - 2024-06-24	870	Grizzlies	-	Bandits	-
82 - 2024-06-26	885	Bandits	-	TigersCats	-
83 - 2024-06-27	903	Marmots	-	Bandits	-
84 - 2024-06-28	914	Bandits	-	Warriors	-
86 - 2024-06-30	930	Warriors	-	Bandits	-
87 - 2024-07-01	943	Bandits	-	Xpress	-
89 - 2024-07-03	957	Bandits	-	Rockets	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04	973	Bandits	-	CoolFm	-
91 - 2024-07-05	982	Snowbirds	-	Bandits	-
92 - 2024-07-06	999	Bandits	-	Twins	-
94 - 2024-07-08	1015	Raptors	-	Bandits	-
96 - 2024-07-10	1032	Bandits	-	Chiwawa	-
97 - 2024-07-11	1043	Bayou	-	Bandits	-
99 - 2024-07-13	1064	Spartans	-	Bandits	-
100 - 2024-07-14	1070	Bandits	-	Outlaws	-
103 - 2024-07-17	1093	Bandits	-	Bayou	-
104 - 2024-07-18	1102	Farmers	-	Bandits	-
106 - 2024-07-20	1124	Rockets	-	Bandits	-
107 - 2024-07-21	1137	Bandits	-	Goons	-
110 - 2024-07-24	1156	Bandits	-	Goons	-
112 - 2024-07-26	1170	Vipers	-	Bandits	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	19,949	10,000
Assistance PCT	99.75%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
28	2995 - 99.83%	101,786$	1,017,858$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,241,836$	3,067,500$	3,067,500$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	776,702$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
2,850,002$	84	43,075$	3,618,300$

Afficher ou Masquer des Colonnes

	Ligue											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
Saison Régulière
45	82	39	29	0	6	4	4	0	325	269	56	41	20	13	0	3	1	4	0	168	129	39	41	19	16	0	3	3	0	0	157	140	17	102	325	547	872	0	2	67	132	116	12	2824	744	1049	1001	42	2221	656	775	1271	253	78	30.83%	254	53	79.13%	9	954	1745	54.67%	788	1503	52.43%	715	1331	53.72%	1908	1261	1802	631	1243	628
46	82	29	34	0	4	5	3	7	334	342	-8	41	20	9	0	2	2	2	6	188	172	16	41	9	25	0	2	3	1	1	146	170	-24	84	334	538	872	0	1	67	119	141	10	2552	732	890	904	71	2399	784	740	1675	257	75	29.18%	299	86	71.24%	5	886	1622	54.62%	848	1643	51.61%	749	1315	56.96%	1482	748	2017	738	1482	744
47	20	9	5	0	4	0	1	1	84	71	13	10	4	2	0	2	0	1	1	42	36	6	10	5	3	0	2	0	0	0	42	35	7	29	84	136	220	0	0	17	38	24	6	600	182	229	175	24	533	167	170	443	76	28	36.84%	51	14	72.55%	1	238	421	56.53%	205	353	58.07%	192	311	61.74%	377	192	456	185	377	190
Total Saison Régulière	184	77	68	0	14	9	8	8	743	682	61	92	44	24	0	7	3	7	7	398	337	61	92	33	44	0	7	6	1	1	345	345	0	215	743	1221	1964	0	3	151	289	281	28	5976	1658	2168	2080	137	5153	1607	1685	3389	586	181	30.89%	604	153	74.67%	15	2078	3788	54.86%	1841	3499	52.62%	1656	2957	56.00%	3768	2201	4276	1555	3104	1563
Séries
45	13	6	7	0	0	0	0	0	41	51	-10	7	4	3	0	0	0	0	0	20	24	-4	6	2	4	0	0	0	0	0	21	27	-6	12	41	66	107	0	0	9	17	15	0	388	108	134	143	3	409	140	131	207	41	14	34.15%	54	14	74.07%	0	121	258	46.90%	123	290	42.41%	95	219	43.38%	230	118	353	110	221	113
Total Séries	13	6	7	0	0	0	0	0	41	51	-10	7	4	3	0	0	0	0	0	20	24	-4	6	2	4	0	0	0	0	0	21	27	-6	12	41	66	107	0	0	9	17	15	0	388	108	134	143	3	409	140	131	207	41	14	34.15%	54	14	74.07%	0	121	258	46.90%	123	290	42.41%	95	219	43.38%	230	118	353	110	221	113

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