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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	Martin Necas (R)	X		X		100.00	75	43	90	86	63	67	84	73	35	75	76	60	25	53	53	75	50	68	0	22	3	1,462,000$
2	Alexander Nylander (R)		X	X		100.00	63	41	94	84	68	62	80	68	33	70	68	61	75	60	60	69	50	66	0	23	3	1,775,000$
3	Sam Steel	X				100.00	63	41	90	81	64	70	86	72	85	70	59	60	25	55	55	66	50	65	0	23	2	925,000$
4	Max Jones		X			100.00	79	44	82	73	76	67	87	63	38	57	66	66	25	55	55	67	50	64	0	23	2	863,333$
5	Emil Bemstrom (R)	X	X	X		100.00	73	42	95	82	65	62	69	68	34	64	71	54	25	50	50	68	50	63	0	21	3	1,633,333$
6	Luke Johnson	X				100.00	71	70	72	67	70	70	72	64	80	56	67	63	64	45	45	66	50	62	0	26	2	925,000$
7	Michael Dal Colle		X	X		100.00	80	44	92	66	74	61	75	60	56	60	58	62	25	55	56	63	50	61	0	24	2	3,063,333$
8	Michael McCarron	X		X		100.00	78	88	53	65	88	61	62	59	74	50	62	66	59	49	49	61	50	60	0	26	1	1,076,000$
9	Matthew Highmore		X	X		100.00	76	43	94	70	66	55	62	59	31	60	57	70	25	47	47	63	50	60	0	25	1	925,000$
10	Cooper Marody	X		X		100.00	69	64	79	66	64	63	64	60	75	60	56	61	53	44	44	61	50	59	0	24	2	1,000,000$
11	Brendan Guhle				X	100.00	69	42	89	75	69	71	75	57	25	50	54	74	25	58	58	63	50	65	0	23	2	1,000,000$
12	Erik Brannstrom (R)				X	100.00	65	41	84	83	62	65	72	69	25	50	47	66	25	47	47	60	50	63	0	21	3	1,375,000$
13	Alexandre Carrier				X	100.00	67	63	77	68	63	78	84	58	25	57	42	62	40	55	55	57	50	62	0	24	1	800,000$
14	Lucas Carlsson (R)				X	100.00	74	70	84	65	70	73	78	54	25	52	42	62	40	44	44	56	50	60	0	23	3	925,000$
15	Tyler Wotherspoon				X	100.00	79	76	85	61	76	72	78	51	25	47	41	63	39	44	44	55	50	60	0	28	1	800,000$
16	Dan Renouf				X	100.00	71	76	59	62	76	73	80	50	25	43	40	61	38	53	53	52	50	59	0	26	2	700,000$
Rayé
1	Trevor Lewis	X		X		100.00	77	44	90	74	75	61	67	59	44	60	60	69	25	74	78	64	50	64	0	34	2	800,000$
2	Parker Wotherspoon				X	100.00	63	62	64	63	62	76	83	52	25	49	41	56	39	44	44	53	50	57	0	23	3	854,722$

	MOYENNE D'ÉQUIPE					100.00	72	55	82	72	70	67	75	61	42	57	56	63	37	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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Dan Vladar (R)	100.00	68	58	73	80	70	72	72	76	76	75	30	44	44	70	50	68	0
2	Jake Oettinger	100.00	59	52	65	86	63	63	56	63	63	62	30	44	44	60	50	61	0
Rayé
1	Ilya Sorokin (R)	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0

	MOYENNE D'ÉQUIPE	100.00	59	53	63	72	61	62	59	63	63	62	37	46	46	60	50	60

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Chris Taylor	53	38	46	55	50	47	48	CAN	44	3	700,000$

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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

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#	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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Alexander Nylander	Thunderbirds (FLA)	LW/RW	76	59	47	106	80	8	0	41	108	253	69	188	23.32%	12	1448	19.06	7	10	17	45	266	3	1	4	11	184	7	1	49.24%	331	7	1.46	3	6	0	0	0	11	10	5
2	Max Jones	Thunderbirds (FLA)	LW	80	47	50	97	65	70	10	116	93	263	81	180	17.87%	12	1475	18.45	9	13	22	51	257	2	1	3	10	270	10	2	53.21%	156	3	1.31	3	6	0	0	1	6	7	10
3	Emil Bemstrom	Thunderbirds (FLA)	C/LW/RW	73	24	46	70	52	24	0	57	81	181	60	139	13.26%	3	1054	14.45	3	10	13	39	227	0	0	0	2	76	4	2	51.40%	321	2	1.33	1	3	0	0	0	3	7	5
4	Luke Johnson	Thunderbirds (FLA)	C	65	34	36	70	57	52	10	82	93	164	37	114	20.73%	4	1035	15.92	5	7	12	17	134	1	1	2	8	122	6	1	70.25%	1005	1	1.35	0	1	0	1	0	10	6	0
5	Michael McCarron	Thunderbirds (FLA)	C/RW	82	22	45	67	66	129	25	142	89	140	40	103	15.71%	7	1108	13.52	1	5	6	15	149	0	1	1	3	128	3	0	72.09%	989	1	1.21	0	0	4	1	0	3	5	2
6	C.J. Smith	Panthers	LW	67	31	33	64	48	37	5	57	72	185	66	147	16.76%	5	974	14.55	0	2	2	8	82	0	0	0	5	94	7	1	63.64%	77	1	1.31	0	0	0	0	1	4	5	5
7	Danny O'Regan	Panthers	C/RW	65	21	42	63	60	28	0	93	84	143	40	101	14.69%	9	1232	18.96	4	9	13	24	228	0	0	0	2	129	1	2	66.57%	682	1	1.02	0	1	0	0	0	4	3	7
8	Rasmus Andersson	Panthers	D	63	10	52	62	15	58	0	87	75	116	38	53	8.62%	55	1479	23.48	4	11	15	79	224	1	2	3	2	267	1	0	0.00%	2	0	0.84	0	0	0	0	0	3	3	4
9	Michael Dal Colle	Thunderbirds (FLA)	LW/RW	82	20	41	61	52	27	5	52	53	127	39	101	15.75%	1	925	11.29	6	7	13	29	176	0	0	0	0	57	4	0	62.50%	64	0	1.32	0	0	0	0	1	1	1	7
10	Cooper Marody	Thunderbirds (FLA)	C/RW	82	22	37	59	51	40	0	71	93	145	35	115	15.17%	8	1010	12.32	0	0	0	3	46	1	0	1	1	73	2	2	72.82%	585	0	1.17	0	0	0	0	0	3	4	1
11	Erik Brannstrom	Thunderbirds (FLA)	D	62	13	40	53	40	26	0	83	43	90	27	56	14.44%	42	1280	20.65	9	12	21	52	192	0	1	1	0	211	3	1	0.00%	0	0	0.83	0	0	0	0	0	3	1	5
12	Alexandre Carrier	Thunderbirds (FLA)	D	82	9	39	48	51	80	0	121	44	66	16	41	13.64%	66	1681	20.50	6	10	16	40	275	0	2	2	0	263	0	0	0.00%	0	0	0.57	0	0	0	0	0	0	0	3
13	Lucas Carlsson	Thunderbirds (FLA)	D	84	7	41	48	56	74	0	97	67	55	13	47	12.73%	50	1573	18.73	2	9	11	33	177	0	1	1	0	234	1	0	0.00%	0	0	0.61	0	0	0	0	0	1	0	4
14	Matthew Highmore	Thunderbirds (FLA)	LW/RW	49	14	20	34	30	12	0	34	55	94	34	62	14.89%	4	619	12.64	2	2	4	8	43	0	0	0	1	72	2	0	36.36%	55	0	1.10	0	1	0	0	0	1	2	1
15	Dan Renouf	Thunderbirds (FLA)	D	81	3	24	27	62	105	25	164	38	36	7	30	8.33%	37	1284	15.86	0	0	0	2	73	0	0	0	0	137	0	1	0.00%	0	0	0.42	0	0	2	0	3	4	0	1
16	Sam Steel	Thunderbirds (FLA)	C	29	10	16	26	16	12	0	22	61	52	18	32	19.23%	3	536	18.50	1	4	5	11	104	0	0	0	1	67	1	0	67.74%	592	0	0.97	0	0	0	0	0	1	1	0
17	Tyler Wotherspoon	Thunderbirds (FLA)	D	82	6	19	25	57	74	0	125	44	45	21	27	13.33%	52	1459	17.80	1	2	3	23	189	0	1	1	0	180	1	0	0.00%	0	0	0.34	0	0	0	0	0	0	2	0
18	Brendan Guhle	Thunderbirds (FLA)	D	34	3	17	20	14	32	0	43	34	43	19	38	6.98%	20	747	21.98	2	3	5	22	107	0	1	1	2	123	0	0	0.00%	0	0	0.54	0	0	0	0	0	0	2	0
19	Parker Wotherspoon	Thunderbirds (FLA)	D	64	1	13	14	20	55	5	50	23	14	12	16	7.14%	24	713	11.14	0	0	0	0	23	0	0	0	0	74	0	0	60.00%	5	0	0.39	0	0	0	0	1	0	0	0
20	Victor Rask	Panthers	C/LW/RW	19	5	9	14	6	6	0	6	40	48	10	30	10.42%	0	342	18.04	0	4	4	9	76	1	1	2	2	55	1	0	64.21%	380	0	0.82	0	0	0	0	0	1	0	2
21	Martin Necas	Thunderbirds (FLA)	C/RW	13	3	8	11	8	8	0	21	14	34	14	31	8.82%	2	223	17.16	0	2	2	8	45	0	0	0	2	14	1	0	40.74%	27	0	0.99	0	0	0	0	0	0	0	0
22	Trevor Lewis	Thunderbirds (FLA)	C/RW	11	2	4	6	1	8	0	8	11	26	8	18	7.69%	0	171	15.63	0	1	1	0	6	1	0	1	2	50	0	0	25.00%	16	0	0.70	0	0	0	0	0	1	0	0
23	Vinni Lettieri	Panthers	C/RW	3	3	2	5	3	0	0	3	13	9	5	7	33.33%	1	73	24.37	0	1	1	2	11	0	0	0	0	19	0	0	75.95%	79	0	1.37	0	0	0	0	0	1	0	0
Stats d'équipe Total ou en Moyenne				1348	369	681	1050	910	965	85	1575	1328	2329	709	1676	15.84%	417	22451	16.66	62	124	186	520	3122	10	13	23	54	2909	55	13	66.01%	5366	16	0.94	7	18	6	2	7	61	59	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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S3
1	Jake Oettinger	Thunderbirds (FLA)	54	38	13	3	0.887	2.00	3147	4	9	105	933	1	0.706	17	54	28	0	2
2	Dan Vladar	Thunderbirds (FLA)	28	20	7	1	0.897	1.75	1685	0	7	49	474	0	0.000	0	28	0	1	1
3	Ilya Sorokin	Thunderbirds (FLA)	1	0	0	0	1.000	0.00	45	0	0	0	3	0	0.000	0	0	9	0	0
Stats d'équipe Total ou en Moyenne			83	58	20	4	0.891	1.89	4878	4	16	154	1410	1	0.706	17	82	37	1	3

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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
Alexander Nylander	Thunderbirds (FLA)	LW/RW	23	1998-03-01	Yes	180 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,775,000$	0$	0$	No	1,775,000$	1,775,000$	Lien
Alexandre Carrier	Thunderbirds (FLA)	D	24	1996-10-08	No	174 Lbs	5 ft11	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Lien / Lien NHL
Brendan Guhle	Thunderbirds (FLA)	D	23	1997-07-29	No	186 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$		Lien / Lien NHL
Cooper Marody	Thunderbirds (FLA)	C/RW	24	1996-12-20	No	173 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$		Lien / Lien NHL
Dan Renouf	Thunderbirds (FLA)	D	26	1994-06-01	No	205 Lbs	6 ft2	Yes	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien / Lien NHL
Dan Vladar	Thunderbirds (FLA)	G	23	1997-08-20	Yes	185 Lbs	6 ft5	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Emil Bemstrom	Thunderbirds (FLA)	C/LW/RW	21	1999-06-01	Yes	181 Lbs	5 ft10	No	No	No	3	Pro & Farm	1,633,333$	0$	0$	No	1,633,333$	1,633,333$	Lien / Lien NHL
Erik Brannstrom	Thunderbirds (FLA)	D	21	1999-09-02	Yes	173 Lbs	5 ft10	No	No	No	3	Pro & Farm	1,375,000$	0$	0$	No	1,375,000$	1,375,000$	Lien / Lien NHL
Ilya Sorokin	Thunderbirds (FLA)	G	25	1995-08-04 2:47:45 PM	Yes	190 Lbs	6 ft3	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$
Jake Oettinger	Thunderbirds (FLA)	G	22	1998-12-18	No	212 Lbs	6 ft4	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
Lucas Carlsson	Thunderbirds (FLA)	D	23	1997-07-05	Yes	190 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien / Lien NHL
Luke Johnson	Thunderbirds (FLA)	C	26	1994-09-18	No	198 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
Martin Necas	Thunderbirds (FLA)	C/RW	22	1999-01-14	Yes	167 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,462,000$	0$	0$	No	1,462,000$	1,462,000$	Lien / Lien NHL
Matthew Highmore	Thunderbirds (FLA)	LW/RW	25	1996-02-27	No	181 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Max Jones	Thunderbirds (FLA)	LW	23	1998-02-16	No	203 Lbs	6 ft3	No	No	No	2	Pro & Farm	863,333$	0$	0$	No	863,333$		Lien / Lien NHL
Michael Dal Colle	Thunderbirds (FLA)	LW/RW	24	1996-06-19	No	198 Lbs	6 ft3	No	No	No	2	Pro & Farm	3,063,333$	0$	0$	No	3,063,333$		Lien / Lien NHL
Michael McCarron	Thunderbirds (FLA)	C/RW	26	1995-03-06	No	231 Lbs	6 ft6	No	No	No	1	Pro & Farm	1,076,000$	0$	0$	No			Lien / Lien NHL
Parker Wotherspoon	Thunderbirds (FLA)	D	23	1997-08-24	No	168 Lbs	6 ft0	No	No	No	3	Pro & Farm	854,722$	0$	0$	No	854,722$	854,722$	Lien / Lien NHL
Sam Steel	Thunderbirds (FLA)	C	23	1998-02-03	No	178 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
Trevor Lewis	Thunderbirds (FLA)	C/RW	34	1987-01-07	No	205 Lbs	6 ft1	Yes	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$		Lien / Lien NHL
Tyler Wotherspoon	Thunderbirds (FLA)	D	28	1993-03-11	No	207 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	24.24	190 Lbs	6 ft1	2.19	1,170,368$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Alexander Nylander	Sam Steel	Martin Necas	40	1	2	2
2	Max Jones	Luke Johnson	Emil Bemstrom	30	1	2	2
3	Matthew Highmore	Michael McCarron	Cooper Marody	20	1	2	2
4				10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brendan Guhle	Erik Brannstrom	40	1	2	2
2	Alexandre Carrier	Tyler Wotherspoon	30	1	2	2
3	Lucas Carlsson	Dan Renouf	20	1	2	2
4	Brendan Guhle	Erik Brannstrom	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Alexander Nylander	Sam Steel	Martin Necas	60	1	2	2
2	Max Jones	Michael McCarron	Emil Bemstrom	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brendan Guhle	Erik Brannstrom	60	1	2	2
2	Alexandre Carrier	Tyler Wotherspoon	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Luke Johnson	Alexander Nylander	60	1	2	2
2	Michael McCarron	Max Jones	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brendan Guhle	Erik Brannstrom	60	1	2	2
2	Alexandre Carrier	Tyler Wotherspoon	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Luke Johnson	60	1	2	2	Brendan Guhle	Erik Brannstrom	60	1	2	2
2	Michael McCarron	40	1	2	2	Alexandre Carrier	Tyler Wotherspoon	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Luke Johnson	Alexander Nylander	60	1	2	2
2	Sam Steel	Max Jones	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brendan Guhle	Erik Brannstrom	60	1	2	2
2	Alexandre Carrier	Tyler Wotherspoon	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Alexander Nylander	Sam Steel	Martin Necas	Brendan Guhle	Erik Brannstrom

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Alexander Nylander	Luke Johnson	Emil Bemstrom	Brendan Guhle	Erik Brannstrom

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Luke Johnson, Matthew Highmore, Michael McCarron	Luke Johnson, Matthew Highmore	Michael McCarron

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Lucas Carlsson, Dan Renouf, Alexandre Carrier	Lucas Carlsson	Dan Renouf, Alexandre Carrier

Tirs de Pénalité
Martin Necas, Alexander Nylander, Sam Steel, Max Jones, Emil Bemstrom

Gardien
#1 : Dan Vladar, #2 : Jake Oettinger

Lignes d'Attaque Perso. en Prol.
Martin Necas, Alexander Nylander, Sam Steel, Max Jones, Emil Bemstrom, Luke Johnson, Luke Johnson, Michael Dal Colle, Matthew Highmore, Michael McCarron, Cooper Marody

Lignes de Défense Perso. en Prol.
Brendan Guhle, Erik Brannstrom, Alexandre Carrier, Tyler Wotherspoon, Lucas Carlsson

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	Americans	4	0	2	0	2	0	0	0	15	16	-1	2	0	1	0	1	0	0	0	9	9	0	2	0	1	0	1	0	0	0	6	7	-1	4	0.500	15	26	41	0	0	143	112	90	9	75	732	746	736	29	108	29	42	72	20	1	5.00%	20	1	95.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
2	Admirals	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	2	7	-5	2	0.500	7	12	19	0	0	143	112	90	9	43	732	746	736	29	43	13	20	51	10	3	30.00%	10	0	100.00%	1	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
3	Barracudas	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	3	2	1	4	1.000	9	14	23	0	0	143	112	90	9	74	732	746	736	29	39	13	26	28	15	3	20.00%	12	1	91.67%	1	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
4	Bears	3	3	0	0	0	0	0	0	23	2	21	2	2	0	0	0	0	0	0	15	2	13	1	1	0	0	0	0	0	0	8	0	8	6	1.000	23	42	65	0	1	143	112	90	9	126	732	746	736	29	36	10	18	52	6	3	50.00%	8	0	100.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
5	Bruins	4	2	2	0	0	0	0	0	8	3	5	2	1	1	0	0	0	0	0	4	1	3	2	1	1	0	0	0	0	0	4	2	2	4	0.500	8	14	22	0	2	143	112	90	9	77	732	746	736	29	47	14	45	65	38	4	10.53%	16	1	93.75%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
6	Checkers	3	1	0	0	0	2	0	0	11	6	5	1	0	0	0	0	1	0	0	2	3	-1	2	1	0	0	0	1	0	0	9	3	6	4	0.667	11	22	33	0	0	143	112	90	9	71	732	746	736	29	73	24	37	54	14	4	28.57%	15	1	93.33%	1	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
7	Comets	2	1	1	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	2	0	2	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	6	12	18	0	1	143	112	90	9	24	732	746	736	29	23	9	26	28	10	2	20.00%	8	2	75.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
8	Condors	2	1	1	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	8	14	22	0	0	143	112	90	9	33	732	746	736	29	26	9	37	33	14	4	28.57%	9	2	77.78%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
9	Crunch	4	1	3	0	0	0	0	0	8	11	-3	2	1	1	0	0	0	0	0	7	7	0	2	0	2	0	0	0	0	0	1	4	-3	2	0.250	8	13	21	0	0	143	112	90	9	66	732	746	736	29	99	19	52	76	12	0	0.00%	26	4	84.62%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
10	Devils	3	2	0	0	0	0	0	1	13	6	7	1	1	0	0	0	0	0	0	4	1	3	2	1	0	0	0	0	0	1	9	5	4	5	0.833	13	23	36	0	0	143	112	90	9	66	732	746	736	29	75	15	32	79	9	2	22.22%	16	0	100.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
11	Eagles	2	2	0	0	0	0	0	0	12	0	12	1	1	0	0	0	0	0	0	7	0	7	1	1	0	0	0	0	0	0	5	0	5	4	1.000	12	23	35	0	2	143	112	90	9	90	732	746	736	29	14	6	16	45	4	0	0.00%	8	0	100.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
12	Griffins	4	3	1	0	0	0	0	0	21	11	10	2	1	1	0	0	0	0	0	9	8	1	2	2	0	0	0	0	0	0	12	3	9	6	0.750	21	38	59	0	0	143	112	90	9	115	732	746	736	29	92	16	57	87	10	5	50.00%	22	4	81.82%	2	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
13	Gulls	2	1	0	0	0	0	1	0	12	3	9	1	1	0	0	0	0	0	0	9	1	8	1	0	0	0	0	0	1	0	3	2	1	4	1.000	12	18	30	0	0	143	112	90	9	77	732	746	736	29	34	8	10	40	4	1	25.00%	5	1	80.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
14	Heat	2	0	1	0	0	0	1	0	7	8	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0	0	0	0	0	1	0	6	5	1	2	0.500	7	10	17	0	0	143	112	90	9	61	732	746	736	29	33	8	20	24	14	5	35.71%	9	6	33.33%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
15	IceHogs	2	0	2	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	2	4	6	0	0	143	112	90	9	42	732	746	736	29	39	13	27	35	11	2	18.18%	10	2	80.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
16	Marlies	4	2	2	0	0	0	0	0	9	7	2	2	1	1	0	0	0	0	0	5	3	2	2	1	1	0	0	0	0	0	4	4	0	4	0.500	9	17	26	0	2	143	112	90	9	76	732	746	736	29	71	18	58	66	23	3	13.04%	25	2	92.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
17	Monsters	3	2	1	0	0	0	0	0	9	9	0	1	1	0	0	0	0	0	0	4	3	1	2	1	1	0	0	0	0	0	5	6	-1	4	0.667	9	14	23	0	0	143	112	90	9	65	732	746	736	29	65	10	42	54	21	2	9.52%	20	3	85.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
18	Moose	2	1	1	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	4	7	11	0	0	143	112	90	9	39	732	746	736	29	45	13	35	31	8	1	12.50%	10	1	90.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
19	Penguins	3	2	0	0	0	0	1	0	14	6	8	2	2	0	0	0	0	0	0	10	3	7	1	0	0	0	0	0	1	0	4	3	1	6	1.000	14	25	39	0	1	143	112	90	9	73	732	746	736	29	58	9	55	52	14	2	14.29%	19	2	89.47%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
20	Phantoms	3	2	0	0	0	0	0	1	9	6	3	2	1	0	0	0	0	0	1	4	4	0	1	1	0	0	0	0	0	0	5	2	3	5	0.833	9	16	25	0	0	143	112	90	9	57	732	746	736	29	57	27	42	67	11	1	9.09%	19	3	84.21%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
21	Rampage	2	2	0	0	0	0	0	0	19	0	19	1	1	0	0	0	0	0	0	8	0	8	1	1	0	0	0	0	0	0	11	0	11	4	1.000	19	35	54	0	2	143	112	90	9	88	732	746	736	29	22	7	12	33	4	1	25.00%	6	0	100.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
22	Reign	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	5	2	3	4	1.000	8	15	23	0	0	143	112	90	9	60	732	746	736	29	23	8	17	35	7	1	14.29%	5	1	80.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
23	Roadrunners	2	2	0	0	0	0	0	0	10	2	8	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	3	1	2	4	1.000	10	19	29	0	0	143	112	90	9	55	732	746	736	29	43	5	10	33	5	2	40.00%	5	0	100.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
24	Rocket	4	4	0	0	0	0	0	0	14	8	6	2	2	0	0	0	0	0	0	6	2	4	2	2	0	0	0	0	0	0	8	6	2	8	1.000	14	23	37	0	0	143	112	90	9	108	732	746	736	29	46	21	42	59	22	3	13.64%	21	5	76.19%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
25	Senators	4	2	1	0	0	0	1	0	10	6	4	2	1	0	0	0	0	1	0	6	3	3	2	1	1	0	0	0	0	0	4	3	1	6	0.750	10	17	27	0	2	143	112	90	9	115	732	746	736	29	73	22	24	76	21	0	0.00%	12	1	91.67%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
26	Sound Tigers	3	3	0	0	0	0	0	0	21	2	19	1	1	0	0	0	0	0	0	6	1	5	2	2	0	0	0	0	0	0	15	1	14	6	1.000	21	35	56	0	1	143	112	90	9	126	732	746	736	29	32	8	17	55	0	0	0.00%	5	1	80.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
27	Stars	2	2	0	0	0	0	0	0	14	3	11	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	9	1	8	4	1.000	14	25	39	0	0	143	112	90	9	65	732	746	736	29	18	7	21	54	4	0	0.00%	7	0	100.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
28	Wild	2	2	0	0	0	0	0	0	20	2	18	1	1	0	0	0	0	0	0	13	2	11	1	1	0	0	0	0	0	0	7	0	7	4	1.000	20	38	58	0	1	143	112	90	9	96	732	746	736	29	30	10	18	53	0	0	0.00%	6	0	100.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
29	Wolf Pack	3	3	0	0	0	0	0	0	24	2	22	2	2	0	0	0	0	0	0	17	2	15	1	1	0	0	0	0	0	0	7	0	7	6	1.000	24	45	69	0	1	143	112	90	9	114	732	746	736	29	40	17	28	56	6	2	33.33%	14	1	92.86%	2	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
30	Wolves	2	1	1	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	4	8	12	0	0	143	112	90	9	50	732	746	736	29	33	8	23	33	12	1	8.33%	8	1	87.50%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
	Total	82	52	20	0	2	2	4	2	351	160	191	41	30	7	0	1	1	1	1	187	72	115	41	22	13	0	1	1	3	1	164	88	76	120	0.732	351	624	975	0	16	143	112	90	9	2227	732	746	736	29	1437	396	909	1526	349	58	16.62%	376	46	87.77%	7	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
	_Since Last GM Reset	82	52	20	0	2	2	4	2	351	160	191	41	30	7	0	1	1	1	1	187	72	115	41	22	13	0	1	1	3	1	164	88	76	120	0.732	351	624	975	0	16	143	112	90	9	2227	732	746	736	29	1437	396	909	1526	349	58	16.62%	376	46	87.77%	7	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
	_Vs Conference	50	33	11	0	0	2	2	2	200	90	110	25	18	4	0	0	1	1	1	101	43	58	25	15	7	0	0	1	1	1	99	47	52	74	0.740	200	356	556	0	11	143	112	90	9	1279	732	746	736	29	887	239	575	926	217	33	15.21%	246	30	87.80%	5	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
	_Vs Division	24	16	2	0	0	2	1	1	124	39	85	12	9	1	0	0	1	0	1	62	19	43	12	7	1	0	0	1	1	0	62	20	42	37	0.771	124	222	346	0	4	143	112	90	9	698	732	746	736	29	436	120	271	469	81	16	19.75%	116	11	90.52%	3	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516

			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	120	W3	351	624	975	2227	1437	396	909	1526	0	16

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	52	20	2	2	4	2	351	160

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	30	7	1	1	1	1	187	72

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	22	13	1	1	3	1	164	88

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	4	1	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
349	58	16.62%	376	46	87.77%	7

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
732	746	736	29	143	112	90	9

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
1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%

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
2511	1908	1526	476	922	516

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 - 2020-10-25	12	Thunderbirds	0	Crunch	1	L			Sommaire du Match
4 - 2020-10-27	24	Crunch	5	Thunderbirds	2	L			Sommaire du Match
7 - 2020-10-30	38	Checkers	3	Thunderbirds	2	L	X		Sommaire du Match
10 - 2020-11-02	58	Thunderbirds	1	Americans	3	L			Sommaire du Match
11 - 2020-11-03	70	Thunderbirds	7	Sound Tigers	0	W			Sommaire du Match
13 - 2020-11-05	81	Thunderbirds	2	Devils	3	L	X	X	Sommaire du Match
17 - 2020-11-09	110	Eagles	0	Thunderbirds	7	W			Sommaire du Match
18 - 2020-11-10	117	Thunderbirds	2	Admirals	7	L			Sommaire du Match
21 - 2020-11-13	138	Penguins	0	Thunderbirds	3	W			Sommaire du Match
23 - 2020-11-15	146	Thunderbirds	6	Heat	5	W	X	X	Sommaire du Match
26 - 2020-11-18	172	Thunderbirds	3	Condors	5	L			Sommaire du Match
27 - 2020-11-19	178	Thunderbirds	4	Comets	5	L			Sommaire du Match
29 - 2020-11-21	190	Thunderbirds	5	Eagles	0	W			Sommaire du Match
32 - 2020-11-24	210	Griffins	3	Thunderbirds	5	W			Sommaire du Match
37 - 2020-11-29	242	Bears	1	Thunderbirds	8	W			Sommaire du Match
39 - 2020-12-01	256	Thunderbirds	8	Sound Tigers	1	W			Sommaire du Match
40 - 2020-12-02	267	Thunderbirds	7	Wolf Pack	0	W			Sommaire du Match
42 - 2020-12-04	273	Thunderbirds	3	Bruins	0	W			Sommaire du Match
44 - 2020-12-06	289	Moose	1	Thunderbirds	3	W			Sommaire du Match
46 - 2020-12-08	303	Wolf Pack	1	Thunderbirds	9	W			Sommaire du Match
49 - 2020-12-11	324	Phantoms	3	Thunderbirds	2	L	X	X	Sommaire du Match
51 - 2020-12-13	339	Gulls	1	Thunderbirds	9	W			Sommaire du Match
53 - 2020-12-15	349	Thunderbirds	8	Checkers	1	W			Sommaire du Match
54 - 2020-12-16	364	Americans	4	Thunderbirds	3	L			Sommaire du Match
57 - 2020-12-19	389	Thunderbirds	8	Bears	0	W			Sommaire du Match
60 - 2020-12-22	408	Admirals	1	Thunderbirds	5	W			Sommaire du Match
63 - 2020-12-25	426	Wild	2	Thunderbirds	13	W			Sommaire du Match
67 - 2020-12-29	457	Monsters	3	Thunderbirds	4	W			Sommaire du Match
68 - 2020-12-30	465	Barracudas	1	Thunderbirds	6	W			Sommaire du Match
70 - 2021-01-01	476	Crunch	2	Thunderbirds	5	W			Sommaire du Match
72 - 2021-01-03	492	Sound Tigers	1	Thunderbirds	6	W			Sommaire du Match
74 - 2021-01-05	505	Bruins	0	Thunderbirds	4	W			Sommaire du Match
76 - 2021-01-07	521	Senators	3	Thunderbirds	4	W	X	X	Sommaire du Match
80 - 2021-01-11	549	Stars	2	Thunderbirds	5	W			Sommaire du Match
81 - 2021-01-12	554	Thunderbirds	1	Checkers	2	L	X		Sommaire du Match
83 - 2021-01-14	577	Thunderbirds	1	Crunch	3	L			Sommaire du Match
88 - 2021-01-19	595	Griffins	5	Thunderbirds	4	L			Sommaire du Match
89 - 2021-01-20	607	Rocket	1	Thunderbirds	2	W			Sommaire du Match
91 - 2021-01-22	616	Thunderbirds	2	Monsters	4	L			Sommaire du Match
93 - 2021-01-24	634	Thunderbirds	4	Senators	0	W			Sommaire du Match
95 - 2021-01-26	643	Thunderbirds	5	Americans	4	W	X		Sommaire du Match
96 - 2021-01-27	657	Thunderbirds	4	Penguins	3	W	X	X	Sommaire du Match
98 - 2021-01-29	667	Roadrunners	1	Thunderbirds	7	W			Sommaire du Match
100 - 2021-01-31	682	Comets	0	Thunderbirds	2	W			Sommaire du Match
103 - 2021-02-03	705	Marlies	0	Thunderbirds	5	W			Sommaire du Match
107 - 2021-02-07	731	Reign	2	Thunderbirds	3	W			Sommaire du Match
109 - 2021-02-09	745	Thunderbirds	7	Griffins	2	W			Sommaire du Match
111 - 2021-02-11	760	Thunderbirds	7	Wild	0	W			Sommaire du Match
112 - 2021-02-12	763	Thunderbirds	1	IceHogs	3	L			Sommaire du Match
123 - 2021-02-23	798	Thunderbirds	5	Rocket	4	W			Sommaire du Match
125 - 2021-02-25	811	Thunderbirds	3	Marlies	0	W			Sommaire du Match
126 - 2021-02-26	815	Thunderbirds	3	Monsters	2	W			Sommaire du Match
128 - 2021-02-28	831	Wolves	2	Thunderbirds	4	W			Sommaire du Match
130 - 2021-03-02	846	Penguins	3	Thunderbirds	7	W			Sommaire du Match
132 - 2021-03-04	862	Thunderbirds	5	Phantoms	2	W			Sommaire du Match
133 - 2021-03-05	872	Thunderbirds	7	Devils	2	W			Sommaire du Match
135 - 2021-03-07	883	Phantoms	1	Thunderbirds	2	W			Sommaire du Match
137 - 2021-03-09	899	Condors	1	Thunderbirds	5	W			Sommaire du Match
139 - 2021-03-11	918	Thunderbirds	3	Barracudas	2	W			Sommaire du Match
141 - 2021-03-13	927	Thunderbirds	3	Gulls	2	W	X	X	Sommaire du Match
142 - 2021-03-14	934	Thunderbirds	5	Reign	2	W			Sommaire du Match
144 - 2021-03-16	958	Thunderbirds	0	Wolves	4	L			Sommaire du Match
147 - 2021-03-19	969	Thunderbirds	3	Roadrunners	1	W			Sommaire du Match
149 - 2021-03-21	986	Marlies	3	Thunderbirds	0	L			Sommaire du Match
151 - 2021-03-23	1001	IceHogs	3	Thunderbirds	1	L			Sommaire du Match
152 - 2021-03-24	1013	Heat	3	Thunderbirds	1	L			Sommaire du Match
156 - 2021-03-28	1035	Bruins	1	Thunderbirds	0	L			Sommaire du Match
158 - 2021-03-30	1052	Rocket	1	Thunderbirds	4	W			Sommaire du Match
161 - 2021-04-02	1076	Thunderbirds	11	Rampage	0	W			Sommaire du Match
163 - 2021-04-04	1086	Thunderbirds	9	Stars	1	W			Sommaire du Match
165 - 2021-04-06	1104	Devils	1	Thunderbirds	4	W			Sommaire du Match
167 - 2021-04-08	1120	Thunderbirds	5	Griffins	1	W			Sommaire du Match
168 - 2021-04-09	1131	Thunderbirds	1	Moose	2	L			Sommaire du Match
170 - 2021-04-11	1140	Americans	5	Thunderbirds	6	W	X		Sommaire du Match
172 - 2021-04-13	1157	Rampage	0	Thunderbirds	8	W			Sommaire du Match
174 - 2021-04-15	1174	Thunderbirds	1	Marlies	4	L			Sommaire du Match
175 - 2021-04-16	1181	Thunderbirds	0	Senators	3	L			Sommaire du Match
177 - 2021-04-18	1195	Thunderbirds	3	Rocket	2	W			Sommaire du Match
179 - 2021-04-20	1206	Thunderbirds	1	Bruins	2	L			Sommaire du Match
181 - 2021-04-22	1227	Wolf Pack	1	Thunderbirds	8	W			Sommaire du Match
184 - 2021-04-25	1246	Senators	0	Thunderbirds	2	W			Sommaire du Match
186 - 2021-04-27	1263	Bears	1	Thunderbirds	7	W			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	39	0
Assistance	80,065	38,413
Assistance PCT	97.64%	93.69%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
0	2890 - 96.32%	77,096$	3,160,925$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,954,490$	2,457,771$	2,268,822$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
13,214$	2,254,448$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	16,977$	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

	Thunderbirds
	GP: 82 \| W: 58 \| L: 20 \| OTL: 4 \| P: 120 GF: 351 \| GA: 160 \| PP%: 16.62% \| PK%: 87.77% DG: Scott \| Morale : 50 \| Moyenne d'Équipe : 62