OTHL - Thunderbirds

Panthers
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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	Cooper Marody (R)	X		X		100.00	69	64	82	66	64	69	69	70	80	73	64	63	61	44	44	67	50	63	0
2	Daniel O'Regan	X		X		100.00	70	64	83	72	64	82	87	62	78	59	60	64	57	53	53	64	50	63	0
3	Garrett Wilson		X	X		100.00	88	69	88	65	74	48	86	57	38	61	56	78	63	57	57	64	50	63	0
4	C.J. Smith		X			100.00	63	41	99	70	67	58	81	63	25	50	70	68	45	55	55	67	50	62	0
5	Luke Johnson	X				100.00	86	45	84	67	70	58	86	59	73	57	55	71	25	45	45	63	50	61	0
6	Michael Dal Colle (R)		X	X		100.00	63	42	97	66	74	62	78	60	25	62	60	56	25	46	46	63	50	59	0
7	Derrick Pouliot				X	100.00	77	44	85	77	74	72	84	68	25	52	48	67	25	62	63	62	50	66	0
8	Brendan Guhle				X	100.00	72	69	80	75	69	74	80	55	25	52	42	64	40	55	55	57	50	63	0
9	Alexandre Carrier				X	100.00	69	63	82	68	63	82	90	54	25	50	41	62	39	55	55	56	50	62	0
10	Andy Welinski				X	100.00	83	45	90	73	75	69	72	64	25	51	48	55	70	57	58	59	50	62	0
11	Tyler Wotherspoon				X	100.00	79	76	87	65	76	77	85	50	25	43	41	63	39	44	44	55	50	61	0
Rayé
1	Michael McCarron	X		X		HO	80	88	61	72	88	63	64	63	79	62	58	68	55	49	49	64	50	63	0

	MOYENNE D'ÉQUIPE					100.00	75	59	85	70	72	68	80	60	44	56	54	65	45	52	52	62	50	62

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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

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#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV
Rayé

	MOYENNE D'ÉQUIPE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Chris Taylor	53	38	46	55	50	47	48	CAN	43	1	500,000$

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	PSG	PSS	FW	FL	FT	S1	S2	S3
1	C.J. Smith	Thunderbirds (FLA)	LW	82	57	50	107	72	20	0	36	79	303	94	222	18.81%	17	1267	15.45	9	11	20	40	193	1	0	1	11	139	6	4	61.70%	94	0	2	1.69	1	1	0	0	0	7	3	4
2	Max Jones	Panthers	LW	79	48	43	91	53	30	0	73	105	258	61	177	18.60%	15	1182	14.97	2	4	6	11	129	0	0	0	3	135	8	2	60.47%	86	0	2	1.54	1	3	0	0	0	10	4	4
3	Luke Johnson	Thunderbirds (FLA)	C	82	40	46	86	62	80	10	120	95	233	68	152	17.17%	11	981	11.97	3	4	7	6	56	0	0	0	3	61	5	1	75.82%	823	0	2	1.75	0	1	0	1	1	7	3	5
4	Daniel O'Regan	Thunderbirds (FLA)	C/RW	63	27	53	80	34	40	0	80	106	186	56	120	14.52%	7	1110	17.62	4	17	21	25	174	1	0	1	5	168	2	1	72.84%	1248	0	1	1.44	2	2	0	0	0	3	6	3
5	Garrett Wilson	Thunderbirds (FLA)	LW/RW	82	37	39	76	63	70	0	126	79	194	63	155	19.07%	13	1276	15.57	3	2	5	15	150	2	1	3	9	155	5	1	60.44%	91	0	0	1.19	0	2	0	0	0	3	4	5
6	Michael Dal Colle	Thunderbirds (FLA)	LW/RW	82	29	46	75	73	18	0	35	53	170	42	112	17.06%	5	1153	14.07	2	8	10	24	198	0	0	0	0	39	0	3	58.02%	81	0	0	1.30	0	0	0	0	0	2	4	3
7	Derrick Pouliot	Thunderbirds (FLA)	D	80	16	56	72	27	88	0	164	59	112	42	79	14.29%	46	1619	20.24	7	15	22	55	231	0	0	0	2	223	0	1	0.00%	0	1	0	0.89	0	0	0	0	0	0	3	3
8	Brendan Guhle	Thunderbirds (FLA)	D	82	5	52	57	51	68	20	113	37	69	29	36	7.25%	50	1473	17.97	4	8	12	47	204	0	1	1	0	241	2	0	0.00%	0	0	0	0.77	0	0	2	1	1	1	1	1
9	Michael McCarron	Thunderbirds (FLA)	C/RW	63	29	27	56	28	77	15	95	53	175	44	103	16.57%	6	852	13.52	2	4	6	16	89	0	0	0	5	92	4	1	80.46%	87	0	1	1.31	0	0	0	1	2	2	6	0
10	Andy Welinski	Thunderbirds (FLA)	D	82	2	51	53	74	66	0	123	28	55	20	34	3.64%	36	1382	16.86	1	7	8	34	187	0	1	1	0	214	0	0	0.00%	0	0	0	0.77	0	0	0	0	0	1	0	4
11	Alexandre Carrier	Thunderbirds (FLA)	D	82	7	34	41	42	38	0	113	39	40	24	29	17.50%	54	1192	14.54	2	4	6	11	84	1	1	2	1	123	0	1	100.00%	1	0	0	0.69	0	0	0	0	0	1	1	1
12	Tyler Wotherspoon	Thunderbirds (FLA)	D	63	4	30	34	28	79	15	127	22	32	14	22	12.50%	47	817	12.98	0	0	0	0	13	0	0	0	0	65	0	0	0.00%	0	0	0	0.83	0	0	0	1	2	0	0	3
13	Cooper Marody	Thunderbirds (FLA)	C/RW	22	16	16	32	20	6	0	30	27	53	12	49	30.19%	1	335	15.25	4	1	5	7	55	0	0	0	0	37	2	1	71.01%	307	0	0	1.91	0	0	0	0	0	2	4	3
14	Carl Dahlstrom	Panthers	D	36	10	20	30	27	18	0	35	20	51	10	32	19.61%	28	720	20.01	7	4	11	29	93	0	1	1	0	100	4	0	0.00%	0	0	0	0.83	0	0	0	0	0	0	2	0
15	Jake Debrusk	Panthers	LW/RW	2	3	4	7	7	0	0	0	4	13	2	4	23.08%	0	36	18.21	0	0	0	1	1	0	0	0	1	9	0	0	64.71%	17	0	0	3.84	0	0	0	0	0	0	1	1
Stats d'équipe Total ou en Moyenne				982	330	567	897	661	698	60	1270	806	1944	581	1326	16.98%	336	15400	15.68	50	89	139	321	1863	5	5	10	40	1807	38	16	72.13%	2835	1	8	1.16	4	9	2	4	6	39	42	40

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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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
Stats d'équipe Total ou en Moyenne							0.000	0.00	0								0.000

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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	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Alexandre Carrier	Thunderbirds (FLA)	D	23	1996-10-08	No	174 Lbs	5 ft11	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$		Lien
Andy Welinski	Thunderbirds (FLA)	D	26	1993-04-27	No	206 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,775,000$	0$	0$	No			Lien
Brendan Guhle	Thunderbirds (FLA)	D	22	1997-07-29	No	186 Lbs	6 ft1	No	No	No	1	Pro & Farm	888,333$	0$	0$	No			Lien
C.J. Smith	Thunderbirds (FLA)	LW	25	1994-12-01	No	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No			Lien
Cooper Marody	Thunderbirds (FLA)	C/RW	23	1996-12-20	Yes	173 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	Lien
Daniel O'Regan	Thunderbirds (FLA)	C/RW	26	1994-01-30	No	180 Lbs	5 ft9	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien
Derrick Pouliot	Thunderbirds (FLA)	D	26	1994-01-16	No	208 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,288,333$	0$	0$	No			Lien
Garrett Wilson	Thunderbirds (FLA)	LW/RW	29	1991-03-16	No	199 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Lien
Luke Johnson	Thunderbirds (FLA)	C	25	1994-09-18	No	198 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien
Michael Dal Colle	Thunderbirds (FLA)	LW/RW	23	1996-06-19	Yes	198 Lbs	6 ft3	No	No	No	3	Pro & Farm	3,063,333$	0$	0$	No	3,063,333$	3,063,333$	Lien
Michael McCarron	Thunderbirds (FLA)	C/RW	25	1995-03-06	No	231 Lbs	6 ft6	No	No	No	2	Pro & Farm	1,076,000$	0$	0$	No	1,076,000$		Lien
Tyler Wotherspoon	Thunderbirds (FLA)	D	27	1993-03-11	No	207 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
12	25.00	195 Lbs	6 ft1	1.50	1,195,083$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Garrett Wilson	Daniel O'Regan	Cooper Marody	40	1	2	2
2	C.J. Smith	Luke Johnson	Michael Dal Colle	30	1	2	2
3				20	1	2	2
4				10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Derrick Pouliot	Brendan Guhle	40	1	2	2
2	Alexandre Carrier	Andy Welinski	30	1	2	2
3	Tyler Wotherspoon		20	1	2	2
4	Derrick Pouliot	Brendan Guhle	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Garrett Wilson	Daniel O'Regan	Cooper Marody	60	1	2	2
2	C.J. Smith	Luke Johnson	Michael Dal Colle	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Derrick Pouliot	Brendan Guhle	60	1	2	2
2	Alexandre Carrier	Andy Welinski	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Daniel O'Regan	Cooper Marody	60	1	2	2
2	Garrett Wilson	C.J. Smith	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Derrick Pouliot	Brendan Guhle	60	1	2	2
2	Alexandre Carrier	Andy Welinski	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Daniel O'Regan	60	1	2	2	Derrick Pouliot	Brendan Guhle	60	1	2	2
2	Cooper Marody	40	1	2	2	Alexandre Carrier	Andy Welinski	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Daniel O'Regan	Cooper Marody	60	1	2	2
2	Garrett Wilson	C.J. Smith	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Derrick Pouliot	Brendan Guhle	60	1	2	2
2	Alexandre Carrier	Andy Welinski	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Garrett Wilson	Daniel O'Regan	Cooper Marody	Derrick Pouliot	Brendan Guhle

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Garrett Wilson	Daniel O'Regan	Cooper Marody	Derrick Pouliot	Brendan Guhle

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Luke Johnson, Michael Dal Colle, C.J. Smith	Luke Johnson, Michael Dal Colle	C.J. Smith

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Tyler Wotherspoon, Alexandre Carrier, Andy Welinski	Tyler Wotherspoon	Alexandre Carrier, Andy Welinski

Tirs de Pénalité
Daniel O'Regan, Cooper Marody, Garrett Wilson, C.J. Smith, Luke Johnson

Gardien
#1 : , #2 :

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

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

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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

	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	Americans	4	0	4	0	0	0	0	0	6	19	-13	2	0	2	0	0	0	0	0	2	8	-6	2	0	2	0	0	0	0	0	4	11	-7	0	0.000	6	11	17	0	0	158	110	121	8	78	873	856	858	27	99	31	34	54	20	2	10.00%	15	2	86.67%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
2	Admirals	2	1	1	0	0	0	0	0	8	5	3	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	6	2	4	2	0.500	8	14	22	0	0	158	110	121	8	78	873	856	858	27	21	4	20	42	7	1	14.29%	3	0	100.00%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
3	Barracudas	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	2	0	2	4	1.000	8	13	21	0	1	158	110	121	8	73	873	856	858	27	47	7	16	45	4	2	50.00%	7	3	57.14%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
4	Bears	3	1	2	0	0	0	0	0	15	13	2	2	1	1	0	0	0	0	0	15	10	5	1	0	1	0	0	0	0	0	0	3	-3	2	0.333	15	26	41	0	0	158	110	121	8	85	873	856	858	27	85	25	37	78	4	0	0.00%	15	4	73.33%	1	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
5	Bruins	4	3	1	0	0	0	0	0	17	10	7	2	1	1	0	0	0	0	0	9	6	3	2	2	0	0	0	0	0	0	8	4	4	6	0.750	17	31	48	0	0	158	110	121	8	92	873	856	858	27	57	23	38	57	21	4	19.05%	18	4	77.78%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
6	Checkers	3	1	2	0	0	0	0	0	9	15	-6	1	0	1	0	0	0	0	0	3	4	-1	2	1	1	0	0	0	0	0	6	11	-5	2	0.333	9	16	25	0	0	158	110	121	8	65	873	856	858	27	68	17	47	37	7	1	14.29%	20	6	70.00%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
7	Comets	2	0	1	0	0	1	0	0	3	11	-8	1	0	0	0	0	1	0	0	2	3	-1	1	0	1	0	0	0	0	0	1	8	-7	1	0.250	3	5	8	0	0	158	110	121	8	35	873	856	858	27	47	16	21	29	7	2	28.57%	7	1	85.71%	1	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
8	Condors	2	0	2	0	0	0	0	0	6	17	-11	1	0	1	0	0	0	0	0	2	10	-8	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	6	11	17	0	0	158	110	121	8	28	873	856	858	27	58	11	22	32	13	4	30.77%	10	4	60.00%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
9	Crunch	4	1	2	0	0	0	1	0	14	15	-1	2	1	1	0	0	0	0	0	6	7	-1	2	0	1	0	0	0	1	0	8	8	0	4	0.500	14	22	36	0	0	158	110	121	8	158	873	856	858	27	74	25	22	91	14	1	7.14%	11	3	72.73%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
10	Devils	3	3	0	0	0	0	0	0	26	7	19	1	1	0	0	0	0	0	0	7	3	4	2	2	0	0	0	0	0	0	19	4	15	6	1.000	26	40	66	0	0	158	110	121	8	117	873	856	858	27	45	11	24	60	4	1	25.00%	12	0	100.00%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
11	Eagles	2	2	0	0	0	0	0	0	16	3	13	1	1	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	9	1	8	4	1.000	16	28	44	0	0	158	110	121	8	74	873	856	858	27	47	8	8	49	1	0	0.00%	4	0	100.00%	1	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
12	Griffins	4	2	1	0	0	0	0	1	16	15	1	2	0	1	0	0	0	0	1	7	9	-2	2	2	0	0	0	0	0	0	9	6	3	5	0.625	16	29	45	0	0	158	110	121	8	128	873	856	858	27	103	38	55	93	11	4	36.36%	20	4	80.00%	1	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
13	Gulls	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	4	6	10	0	0	158	110	121	8	47	873	856	858	27	49	5	24	38	5	2	40.00%	12	2	83.33%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
14	Heat	2	0	2	0	0	0	0	0	2	14	-12	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	2	3	5	0	0	158	110	121	8	53	873	856	858	27	59	15	23	40	5	0	0.00%	9	1	88.89%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
15	IceHogs	2	0	2	0	0	0	0	0	8	15	-7	1	0	1	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	5	6	-1	0	0.000	8	15	23	0	0	158	110	121	8	50	873	856	858	27	59	18	51	33	13	3	23.08%	12	3	75.00%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
16	Marlies	4	4	0	0	0	0	0	0	31	9	22	2	2	0	0	0	0	0	0	17	4	13	2	2	0	0	0	0	0	0	14	5	9	8	1.000	31	55	86	0	0	158	110	121	8	144	873	856	858	27	85	21	26	78	11	5	45.45%	12	1	91.67%	1	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
17	Monsters	3	0	1	0	0	1	0	1	9	18	-9	1	0	0	0	0	1	0	0	3	4	-1	2	0	1	0	0	0	0	1	6	14	-8	2	0.333	9	18	27	0	0	158	110	121	8	53	873	856	858	27	65	13	34	44	23	6	26.09%	14	5	64.29%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
18	Moose	2	1	1	0	0	0	0	0	9	8	1	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	5	3	2	2	0.500	9	14	23	0	0	158	110	121	8	44	873	856	858	27	47	10	18	33	9	1	11.11%	9	5	44.44%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
19	Penguins	3	1	2	0	0	0	0	0	11	10	1	2	1	1	0	0	0	0	0	8	6	2	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	11	19	30	0	0	158	110	121	8	98	873	856	858	27	59	19	32	57	12	4	33.33%	16	3	81.25%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
20	Phantoms	3	1	1	0	0	1	0	0	12	13	-1	2	0	1	0	0	1	0	0	7	9	-2	1	1	0	0	0	0	0	0	5	4	1	3	0.500	12	22	34	0	0	158	110	121	8	115	873	856	858	27	61	19	32	59	7	2	28.57%	15	3	80.00%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
21	Rampage	2	2	0	0	0	0	0	0	16	8	8	1	1	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	7	4	3	4	1.000	16	29	45	0	0	158	110	121	8	90	873	856	858	27	41	12	12	40	7	1	14.29%	4	0	100.00%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
22	Reign	2	2	0	0	0	0	0	0	16	4	12	1	1	0	0	0	0	0	0	10	2	8	1	1	0	0	0	0	0	0	6	2	4	4	1.000	16	26	42	0	0	158	110	121	8	90	873	856	858	27	45	9	10	38	5	2	40.00%	5	1	80.00%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
23	Roadrunners	2	1	1	0	0	0	0	0	16	8	8	1	1	0	0	0	0	0	0	11	2	9	1	0	1	0	0	0	0	0	5	6	-1	2	0.500	16	29	45	0	0	158	110	121	8	99	873	856	858	27	38	12	12	34	6	3	50.00%	6	0	100.00%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
24	Rocket	4	0	3	0	1	0	0	0	12	20	-8	2	0	2	0	0	0	0	0	5	11	-6	2	0	1	0	1	0	0	0	7	9	-2	2	0.250	12	22	34	0	0	158	110	121	8	85	873	856	858	27	88	14	57	57	27	3	11.11%	17	6	64.71%	1	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
25	Senators	4	4	0	0	0	0	0	0	30	9	21	2	2	0	0	0	0	0	0	17	4	13	2	2	0	0	0	0	0	0	13	5	8	8	1.000	30	56	86	0	0	158	110	121	8	181	873	856	858	27	86	22	24	80	8	2	25.00%	12	0	100.00%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
26	Sound Tigers	3	3	0	0	0	0	0	0	21	8	13	1	1	0	0	0	0	0	0	7	2	5	2	2	0	0	0	0	0	0	14	6	8	6	1.000	21	38	59	0	0	158	110	121	8	116	873	856	858	27	68	19	20	84	5	1	20.00%	9	0	100.00%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
27	Stars	2	1	0	0	1	0	0	0	5	3	2	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	1	0	0	0	3	2	1	4	1.000	5	9	14	0	0	158	110	121	8	65	873	856	858	27	35	12	14	34	2	0	0.00%	6	1	83.33%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
	Total	82	42	32	0	2	3	1	2	392	315	77	41	20	17	0	0	3	0	1	204	154	50	41	22	15	0	2	0	1	1	188	161	27	95	0.579	392	691	1083	0	2	158	110	121	8	2602	873	856	858	27	1776	486	796	1552	275	60	21.82%	328	69	78.96%	6	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
29	Wild	2	2	0	0	0	0	0	0	16	3	13	1	1	0	0	0	0	0	0	8	0	8	1	1	0	0	0	0	0	0	8	3	5	4	1.000	16	28	44	0	1	158	110	121	8	98	873	856	858	27	39	16	18	27	1	0	0.00%	8	1	87.50%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
30	Wolf Pack	3	3	0	0	0	0	0	0	22	10	12	2	2	0	0	0	0	0	0	16	7	9	1	1	0	0	0	0	0	0	6	3	3	6	1.000	22	41	63	0	0	158	110	121	8	116	873	856	858	27	54	17	20	65	4	1	25.00%	10	2	80.00%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
31	Wolves	2	1	1	0	0	0	0	0	8	11	-3	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	3	7	-4	2	0.500	8	15	23	0	0	158	110	121	8	47	873	856	858	27	47	17	25	44	12	2	16.67%	10	4	60.00%	0	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
	_Since Last GM Reset	82	42	32	0	2	3	1	2	392	315	77	41	20	17	0	0	3	0	1	204	154	50	41	22	15	0	2	0	1	1	188	161	27	95	0.579	392	691	1083	0	2	158	110	121	8	2602	873	856	858	27	1776	486	796	1552	275	60	21.82%	328	69	78.96%	6	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
	_Vs Conference	50	27	16	0	1	3	1	2	248	183	65	25	12	9	0	0	3	0	1	129	89	40	25	15	7	0	1	0	1	1	119	94	25	63	0.630	248	440	688	0	0	158	110	121	8	1588	873	856	858	27	1045	299	489	969	165	37	22.42%	208	42	79.81%	5	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
	_Vs Division	24	13	8	0	0	1	0	0	125	94	31	12	6	5	0	0	1	0	0	66	45	21	12	7	3	0	0	0	0	0	59	49	10	27	0.563	125	220	345	0	0	158	110	121	8	765	873	856	858	27	505	140	246	484	66	16	24.24%	111	23	79.28%	1	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502

			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
82	95	L1	392	691	1083	2602	1776	486	796	1552	0	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	42	32	2	3	1	2	392	315

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	20	17	0	3	0	1	204	154

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	22	15	2	0	1	1	188	161

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
7	3	0	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
275	60	21.82%	328	69	78.96%	6

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
873	856	858	27	158	110	121	8

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%

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
2558	1994	1495	440	888	502

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
2 - 2019-10-05	12	Thunderbirds	6	Crunch	7	L			Sommaire du Match
4 - 2019-10-07	24	Crunch	5	Thunderbirds	2	L			Sommaire du Match
7 - 2019-10-10	38	Checkers	4	Thunderbirds	3	L			Sommaire du Match
10 - 2019-10-13	58	Thunderbirds	3	Americans	5	L			Sommaire du Match
11 - 2019-10-14	70	Thunderbirds	9	Sound Tigers	3	W			Sommaire du Match
13 - 2019-10-16	81	Thunderbirds	7	Devils	2	W			Sommaire du Match
17 - 2019-10-20	110	Eagles	2	Thunderbirds	7	W			Sommaire du Match
18 - 2019-10-21	117	Thunderbirds	6	Admirals	2	W			Sommaire du Match
21 - 2019-10-24	138	Penguins	4	Thunderbirds	3	L			Sommaire du Match
23 - 2019-10-26	146	Thunderbirds	1	Heat	8	L			Sommaire du Match
26 - 2019-10-29	172	Thunderbirds	4	Condors	7	L			Sommaire du Match
27 - 2019-10-30	178	Thunderbirds	1	Comets	8	L			Sommaire du Match
29 - 2019-11-01	190	Thunderbirds	9	Eagles	1	W			Sommaire du Match
32 - 2019-11-04	210	Griffins	5	Thunderbirds	4	L	X	X	Sommaire du Match
37 - 2019-11-09	242	Bears	3	Thunderbirds	10	W			Sommaire du Match
39 - 2019-11-11	256	Thunderbirds	5	Sound Tigers	3	W			Sommaire du Match
40 - 2019-11-12	267	Thunderbirds	6	Wolf Pack	3	W			Sommaire du Match
42 - 2019-11-14	273	Thunderbirds	3	Bruins	1	W			Sommaire du Match
44 - 2019-11-16	289	Moose	5	Thunderbirds	4	L			Sommaire du Match
46 - 2019-11-18	303	Wolf Pack	3	Thunderbirds	8	W			Sommaire du Match
49 - 2019-11-21	324	Phantoms	5	Thunderbirds	4	L	X		Sommaire du Match
51 - 2019-11-23	339	Gulls	4	Thunderbirds	3	L			Sommaire du Match
53 - 2019-11-25	349	Thunderbirds	0	Checkers	6	L			Sommaire du Match
54 - 2019-11-26	364	Americans	2	Thunderbirds	1	L			Sommaire du Match
57 - 2019-11-29	389	Thunderbirds	0	Bears	3	L			Sommaire du Match
60 - 2019-12-02	408	Admirals	3	Thunderbirds	2	L			Sommaire du Match
63 - 2019-12-05	426	Wild	0	Thunderbirds	8	W			Sommaire du Match
67 - 2019-12-09	457	Monsters	4	Thunderbirds	3	L	X		Sommaire du Match
68 - 2019-12-10	465	Barracudas	5	Thunderbirds	6	W			Sommaire du Match
70 - 2019-12-12	476	Crunch	2	Thunderbirds	4	W			Sommaire du Match
72 - 2019-12-14	492	Sound Tigers	2	Thunderbirds	7	W			Sommaire du Match
74 - 2019-12-16	505	Bruins	5	Thunderbirds	4	L			Sommaire du Match
76 - 2019-12-18	521	Senators	2	Thunderbirds	10	W			Sommaire du Match
80 - 2019-12-22	549	Stars	1	Thunderbirds	2	W			Sommaire du Match
81 - 2019-12-23	554	Thunderbirds	6	Checkers	5	W			Sommaire du Match
83 - 2019-12-25	577	Thunderbirds	2	Crunch	1	W	X	X	Sommaire du Match
88 - 2019-12-30	595	Griffins	4	Thunderbirds	3	L			Sommaire du Match
89 - 2019-12-31	607	Rocket	4	Thunderbirds	1	L			Sommaire du Match
91 - 2020-01-02	616	Thunderbirds	1	Monsters	8	L			Sommaire du Match
93 - 2020-01-04	634	Thunderbirds	4	Senators	2	W			Sommaire du Match
95 - 2020-01-06	643	Thunderbirds	1	Americans	6	L			Sommaire du Match
96 - 2020-01-07	657	Thunderbirds	3	Penguins	4	L			Sommaire du Match
98 - 2020-01-09	667	Roadrunners	2	Thunderbirds	11	W			Sommaire du Match
100 - 2020-01-11	682	Comets	3	Thunderbirds	2	L	X		Sommaire du Match
103 - 2020-01-14	705	Marlies	2	Thunderbirds	8	W			Sommaire du Match
107 - 2020-01-18	731	Reign	2	Thunderbirds	10	W			Sommaire du Match
109 - 2020-01-20	745	Thunderbirds	4	Griffins	3	W			Sommaire du Match
111 - 2020-01-22	760	Thunderbirds	8	Wild	3	W			Sommaire du Match
112 - 2020-01-23	763	Thunderbirds	5	IceHogs	6	L			Sommaire du Match
123 - 2020-02-03	798	Thunderbirds	5	Rocket	4	W	X		Sommaire du Match
125 - 2020-02-05	811	Thunderbirds	9	Marlies	2	W			Sommaire du Match
126 - 2020-02-06	815	Thunderbirds	5	Monsters	6	L	X	X	Sommaire du Match
128 - 2020-02-08	831	Wolves	4	Thunderbirds	5	W			Sommaire du Match
130 - 2020-02-10	846	Penguins	2	Thunderbirds	5	W			Sommaire du Match
132 - 2020-02-12	862	Thunderbirds	5	Phantoms	4	W			Sommaire du Match
133 - 2020-02-13	872	Thunderbirds	12	Devils	2	W			Sommaire du Match
135 - 2020-02-15	883	Phantoms	4	Thunderbirds	3	L			Sommaire du Match
137 - 2020-02-17	899	Condors	10	Thunderbirds	2	L			Sommaire du Match
139 - 2020-02-19	918	Thunderbirds	2	Barracudas	0	W			Sommaire du Match
141 - 2020-02-21	927	Thunderbirds	1	Gulls	5	L			Sommaire du Match
142 - 2020-02-22	934	Thunderbirds	6	Reign	2	W			Sommaire du Match
144 - 2020-02-24	958	Thunderbirds	3	Wolves	7	L			Sommaire du Match
147 - 2020-02-27	969	Thunderbirds	5	Roadrunners	6	L			Sommaire du Match
149 - 2020-02-29	986	Marlies	2	Thunderbirds	9	W			Sommaire du Match
151 - 2020-03-02	1001	IceHogs	9	Thunderbirds	3	L			Sommaire du Match
152 - 2020-03-03	1013	Heat	6	Thunderbirds	1	L			Sommaire du Match
156 - 2020-03-07	1035	Bruins	1	Thunderbirds	5	W			Sommaire du Match
158 - 2020-03-09	1052	Rocket	7	Thunderbirds	4	L			Sommaire du Match
161 - 2020-03-12	1076	Thunderbirds	7	Rampage	4	W			Sommaire du Match
163 - 2020-03-14	1086	Thunderbirds	3	Stars	2	W	X		Sommaire du Match
165 - 2020-03-16	1104	Devils	3	Thunderbirds	7	W			Sommaire du Match
167 - 2020-03-18	1120	Thunderbirds	5	Griffins	3	W			Sommaire du Match
168 - 2020-03-19	1131	Thunderbirds	5	Moose	3	W			Sommaire du Match
170 - 2020-03-21	1140	Americans	6	Thunderbirds	1	L			Sommaire du Match
172 - 2020-03-23	1157	Rampage	4	Thunderbirds	9	W			Sommaire du Match
174 - 2020-03-25	1174	Thunderbirds	5	Marlies	3	W			Sommaire du Match
175 - 2020-03-26	1181	Thunderbirds	9	Senators	3	W			Sommaire du Match
177 - 2020-03-28	1195	Thunderbirds	2	Rocket	5	L			Sommaire du Match
179 - 2020-03-30	1206	Thunderbirds	5	Bruins	3	W			Sommaire du Match
181 - 2020-04-01	1227	Wolf Pack	4	Thunderbirds	8	W			Sommaire du Match
184 - 2020-04-04	1246	Senators	2	Thunderbirds	7	W			Sommaire du Match
186 - 2020-04-06	1263	Bears	7	Thunderbirds	5	L			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	45	0
Assistance	73,922	36,387
Assistance PCT	90.15%	88.75%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	2690 - 89.68%	81,134$	3,326,490$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,079,285$	1,434,099$	1,434,099$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
7,710$	1,579,251$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	10,398$	0$

Afficher ou Masquer des Colonnes

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	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
2019	82	42	32	0	2	3	1	2	392	315	77	41	20	17	0	0	3	0	1	204	154	50	41	22	15	0	2	0	1	1	188	161	27	95	392	691	1083	0	2	158	110	121	8	2602	873	856	858	27	1776	486	796	1552	275	60	21.82%	328	69	78.96%	6	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502
Total Saison Régulière	82	42	32	0	2	3	1	2	392	315	77	41	20	17	0	0	3	0	1	204	154	50	41	22	15	0	2	0	1	1	188	161	27	95	392	691	1083	0	2	158	110	121	8	2602	873	856	858	27	1776	486	796	1552	275	60	21.82%	328	69	78.96%	6	1544	2237	69.02%	918	1490	61.61%	947	1415	66.93%	2558	1994	1495	440	888	502