LAAHS - Seattle Thunderbirds

Penguins
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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	TA	SP
1	Jesperi Kotkaniemi (R)	X	X			100.00	71	43	89	83	70	66	85	75	77	68	67	51	25	54	54	68	36	64		0
2	Josh Leivo		X	X		100.00	67	57	87	71	78	67	64	80	37	61	71	56	63	59	59	68	75	64		0
3	Sam Carrick	X				100.00	65	68	59	65	68	80	83	69	80	64	71	61	67	46	46	68	81	63		0
4	Stefan Noesen		X	X		100.00	88	46	80	74	75	64	74	64	41	61	58	69	25	55	56	65	80	62		0
5	T.J. Tynan	X		X		100.00	67	58	88	62	58	83	87	67	80	74	56	61	53	44	44	65	80	62		0
6	Logan Brown (R)	X				100.00	85	85	86	62	85	62	62	64	80	68	56	70	57	44	44	65	55	61		0
7	Brooks Macek (R)	X		X		100.00	74	66	93	58	66	72	74	67	80	65	66	65	63	44	44	67	79	61		0
8	Matt Read (C)	X	X	X		100.00	73	43	94	77	66	61	78	61	36	50	58	66	57	69	70	63	79	61		0
9	Peter Cehlarik		X			100.00	61	42	90	67	75	63	73	69	26	60	72	52	25	46	46	67	80	60		0
10	Emil Pettersson	X				100.00	70	63	86	63	63	78	83	62	78	62	57	63	54	51	51	63	75	60		0
11	Brett Sutter	X	X			100.00	75	73	79	63	73	55	54	63	79	59	62	67	59	54	54	64	42	59		0
12	Rourke Chartier	X				100.00	76	43	94	71	69	54	55	58	65	50	58	69	25	45	45	61	20	57		0
13	Jacob Larsson				X	100.00	71	43	89	77	73	72	76	60	25	50	47	75	25	56	56	61	50	65		0
14	Jacob MacDonald				X	100.00	78	74	88	70	74	83	90	58	25	49	52	66	49	49	49	62	74	64		0
15	Yannick Weber			X	X	100.00	75	43	90	77	72	59	72	59	25	48	47	63	75	69	70	59	39	62		0
16	Matt Irwin				X	100.00	83	75	76	73	77	57	64	58	25	51	46	61	25	65	67	58	53	61		0
17	Matt Tennyson				X	100.00	75	76	74	70	76	69	74	54	25	49	42	65	40	57	57	56	82	61		0
18	Logan Stanley (R)				X	100.00	83	87	72	64	87	75	83	48	25	39	41	65	39	44	44	55	78	60		0
19	Andrew Campbell				X	100.00	78	78	77	68	78	71	78	47	25	34	41	65	39	58	58	53	78	60		0
Rayé
1	Landon Ferraro	X		X		100.00	68	68	68	65	68	54	54	58	73	53	56	62	53	54	55	59	20	56	X	0
2	Hampus Gustafsson	X	X			100.00	81	78	87	62	78	63	68	47	59	43	44	65	42	49	49	54	20	54		0
3	Joey LaLeggia				X	100.00	71	64	86	68	64	79	85	59	45	52	52	62	49	46	46	61	76	61		0
4	Rob O'Gara				X	100.00	76	81	63	70	81	70	77	47	25	37	41	61	39	44	44	53	50	58		0
5	Vincent LoVerde				X	100.00	77	73	85	60	73	75	83	46	25	36	40	61	38	44	44	52	24	57		0

	MOYENNE D'ÉQUIPE					100.00	75	64	83	68	73	68	74	60	48	53	54	63	45	52	52	61	59	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	Mitch Gillam (R)	100.00	67	53	66	62	70	66	72	76	71	71	30	44	44	68	79	64	0
2	John Muse	100.00	62	55	69	65	65	72	60	67	72	70	30	44	44	65	79	62	0
Rayé
1	Zane McIntyre	100.00	57	75	94	79	51	59	58	64	56	56	30	44	44	59	20	59	0
2	Jake Paterson	100.00	44	51	64	66	40	43	50	52	44	45	30	44	44	46	20	48	0

	MOYENNE D'ÉQUIPE	100.00	58	59	73	68	57	60	60	65	61	61	30	44	44	60	50	58

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dave Hakstol	60	46	60	57	72	58	59	USA	50	1	60,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Josh Leivo	Seattle Thunderbirds (PIT)	LW/RW	71	48	80	128	16	77	65	89	91	375	134	215	12.80%	49	1528	21.53	16	23	39	42	131	1	1	2	5	114	7	4	38.79%	165	84	29	0	2	1.67	2	4	4	3	6	8	8	3
2	Sam Carrick	Seattle Thunderbirds (PIT)	C	82	52	63	115	19	141	75	156	196	271	97	178	19.19%	46	1617	19.73	12	19	31	25	142	2	2	4	12	71	7	0	58.63%	1675	43	41	0	3	1.42	1	6	5	4	6	7	5	8
3	T.J. Tynan	Seattle Thunderbirds (PIT)	C/RW	82	29	74	103	25	69	35	100	146	212	75	151	13.68%	43	1510	18.42	8	12	20	22	115	0	0	0	0	39	4	0	62.01%	616	40	34	0	0	1.36	1	3	2	2	3	4	7	5
4	Stefan Noesen	Seattle Thunderbirds (PIT)	LW/RW	82	47	50	97	22	29	5	134	131	276	83	136	17.03%	48	1555	18.98	7	15	22	29	128	0	0	0	4	80	6	1	50.00%	90	59	31	0	3	1.25	0	3	0	1	0	10	1	7
5	Steve Bernier	Penguins	RW	67	25	52	77	21	303	155	152	116	189	56	135	13.23%	53	1537	22.95	3	13	16	8	119	1	1	2	6	100	5	0	51.91%	314	43	59	0	1	1.00	1	5	11	8	12	2	3	4
6	Brooks Macek	Seattle Thunderbirds (PIT)	C/RW	82	29	37	66	19	29	15	85	95	223	60	120	13.00%	48	1283	15.65	0	3	3	3	34	0	0	0	2	21	1	2	57.97%	69	40	22	0	0	1.03	0	1	1	1	1	2	3	3
7	Matt Read	Seattle Thunderbirds (PIT)	C/LW/RW	82	36	27	63	19	14	10	95	107	226	52	115	15.93%	40	1355	16.53	4	4	8	11	74	0	1	1	2	29	5	0	36.75%	117	48	32	0	0	0.93	0	0	0	0	2	4	4	3
8	Jesperi Kotkaniemi	Seattle Thunderbirds (PIT)	C/LW	31	23	28	51	14	4	0	40	64	139	46	83	16.55%	15	676	21.83	7	6	13	14	54	1	1	2	3	69	1	2	56.95%	892	28	17	0	1	1.51	0	1	0	0	0	3	5	2
9	Logan Brown	Seattle Thunderbirds (PIT)	C	77	14	30	44	10	93	45	89	94	129	41	84	10.85%	31	1008	13.09	2	1	3	2	14	0	0	0	0	1	1	1	55.30%	472	16	22	0	0	0.87	0	0	4	1	4	1	1	1
10	Jacob MacDonald	Seattle Thunderbirds (PIT)	D	82	8	36	44	37	132	90	89	123	91	55	35	8.79%	137	1989	24.26	6	8	14	13	166	0	1	1	2	178	0	0	0.00%	0	19	67	1	0	0.44	0	0	5	8	5	1	0	2
11	Peter Cehlarik	Seattle Thunderbirds (PIT)	LW	82	22	19	41	3	9	5	55	64	160	49	101	13.75%	26	998	12.18	0	0	0	0	3	0	1	1	4	32	5	0	36.17%	47	32	14	0	0	0.82	0	0	1	0	0	0	3	2
12	Emil Pettersson	Seattle Thunderbirds (PIT)	C	73	16	20	36	14	19	5	59	87	86	21	58	18.60%	28	828	11.34	1	0	1	1	6	2	0	2	3	16	1	1	57.43%	350	6	19	0	0	0.87	0	0	0	0	1	1	1	2
13	Jacob Larsson	Seattle Thunderbirds (PIT)	D	77	5	29	34	34	26	10	80	135	82	52	34	6.10%	120	1943	25.24	3	5	8	6	160	0	0	0	2	177	1	0	0.00%	0	21	80	0	0	0.35	0	0	0	2	0	0	1	1
14	Matt Tennyson	Seattle Thunderbirds (PIT)	D	82	4	14	18	27	79	35	53	52	41	22	13	9.76%	63	1121	13.67	1	2	3	1	38	0	0	0	1	45	1	0	0.00%	0	1	50	0	0	0.32	0	0	3	2	2	0	0	0
15	Yannick Weber	Seattle Thunderbirds (PIT)	RW/D	68	4	13	17	8	14	10	50	87	58	18	36	6.90%	93	1301	19.15	1	1	2	3	83	0	0	0	1	95	0	1	0.00%	0	23	43	0	0	0.26	2	3	0	1	1	0	0	0
16	Brett Sutter	Seattle Thunderbirds (PIT)	C/LW	53	7	9	16	7	21	15	32	41	38	15	27	18.42%	11	456	8.61	0	0	0	0	2	0	0	0	0	55	3	1	53.95%	76	7	9	0	0	0.70	0	0	0	1	2	0	0	1
17	Joey LaLeggia	Seattle Thunderbirds (PIT)	D	76	3	11	14	6	29	25	24	46	23	18	18	13.04%	44	980	12.90	1	1	2	1	23	0	0	0	2	45	0	0	0.00%	0	1	25	0	0	0.29	0	0	0	3	2	0	1	0
18	Matt Irwin	Seattle Thunderbirds (PIT)	D	82	3	9	12	15	124	70	78	74	46	18	22	6.52%	77	1268	15.47	1	1	2	2	65	0	0	0	2	70	0	0	0.00%	0	7	42	0	0	0.19	0	0	2	9	3	0	0	1
19	Logan Stanley	Seattle Thunderbirds (PIT)	D	82	0	2	2	2	45	35	38	32	20	8	11	0.00%	28	730	8.90	0	0	0	1	11	0	0	0	1	18	0	0	0.00%	0	1	21	0	0	0.05	0	0	2	3	2	0	0	0
20	Rob O'Gara	Seattle Thunderbirds (PIT)	D	58	0	1	1	1	4	0	8	4	3	0	0	0.00%	2	154	2.66	0	0	0	0	5	0	0	0	0	1	0	0	0.00%	0	0	0	0	0	0.13	0	0	0	0	0	0	0	0
21	Vincent LoVerde	Seattle Thunderbirds (PIT)	D	25	0	0	0	5	0	0	1	2	0	0	0	0.00%	0	29	1.19	0	0	0	0	1	0	0	0	0	1	0	0	0.00%	0	0	2	0	0	0.00	0	0	0	0	0	0	0	0
22	Rourke Chartier	Seattle Thunderbirds (PIT)	C	4	0	0	0	1	0	0	1	5	0	0	0	0.00%	1	13	3.45	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	2	0	0	0	0	0.00	0	0	0	0	0	0	0	0
23	Andrew Campbell	Seattle Thunderbirds (PIT)	D	81	0	0	0	0	29	15	18	24	9	4	0	0.00%	16	513	6.34	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	12	0	0	0.00	0	0	0	3	0	0	0	0
Stats d'équipe Total ou en Moyenne				1581	375	604	979	325	1290	720	1526	1816	2697	924	1572	13.90%	1019	24402	15.44	73	114	187	184	1385	7	8	15	52	1267	48	13	56.23%	4885	519	671	1	10	0.80	7	26	40	52	52	43	43	45

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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	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Mitch Gillam	Seattle Thunderbirds (PIT)	66	39	17	4	0.904	3.52	3736	1	219	2270	1285	5	2	0.900	10	64	18	7	3	3
2	John Muse	Seattle Thunderbirds (PIT)	23	11	8	3	0.893	3.78	1223	0	77	719	366	1	0	0.429	14	18	64	0	0	1
Stats d'équipe Total ou en Moyenne			89	50	25	7	0.901	3.58	4960	1	296	2989	1651	6	2	0.625	24	82	82	7	3	4

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	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
Andrew Campbell	Seattle Thunderbirds (PIT)	D	30	1988-02-04	No	205 Lbs	6 ft4	No	No	No	1	Pro & Farm	715,000$	0$	0$	No			Lien
Brett Sutter	Seattle Thunderbirds (PIT)	C/LW	31	1987-06-02	No	200 Lbs	6 ft0	Yes	No	No	1	Pro & Farm	660,000$	0$	0$	No			Lien
Brooks Macek	Seattle Thunderbirds (PIT)	C/RW	26	1992-05-15	Yes	181 Lbs	5 ft11	Yes	No	No	1	Pro & Farm	900,000$	0$	0$	No			Lien
Emil Pettersson	Seattle Thunderbirds (PIT)	C	24	1994-01-14	No	164 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Hampus Gustafsson	Seattle Thunderbirds (PIT)	C/LW	24	1993-10-26	No	205 Lbs	6 ft4	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien
Jacob Larsson	Seattle Thunderbirds (PIT)	D	21	1997-04-29	No	195 Lbs	6 ft2	No	No	No	1	Pro & Farm	894,166$	0$	0$	No			Lien
Jacob MacDonald	Seattle Thunderbirds (PIT)	D	25	1993-02-26	No	207 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien
Jake Paterson	Seattle Thunderbirds (PIT)	G	24	1994-05-02	No	176 Lbs	6 ft1	No	No	No	0	Pro & Farm		0$	0$	No			Lien
Jesperi Kotkaniemi	Seattle Thunderbirds (PIT)	C/LW	17	2000-07-06	Yes	188 Lbs	6 ft2	No	No	No	2	Pro & Farm	900,000$	0$	0$	No	900,000$		Lien
Joey LaLeggia	Seattle Thunderbirds (PIT)	D	26	1992-06-24	No	182 Lbs	5 ft9	No	No	No	1	Pro & Farm	675,000$	0$	0$	No			Lien
John Muse	Seattle Thunderbirds (PIT)	G	29	1988-08-01	No	185 Lbs	5 ft11	Yes	No	No	1	Pro & Farm	1,000,000$	0$	0$	No			Lien
Josh Leivo	Seattle Thunderbirds (PIT)	LW/RW	25	1993-05-26	No	210 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,500,000$	0$	0$	No			Lien
Landon Ferraro	Seattle Thunderbirds (PIT)	C/RW	26	1991-08-07	No	186 Lbs	6 ft0	No	Yes	No	0	Pro & Farm		0$	0$	No			Lien
Logan Brown	Seattle Thunderbirds (PIT)	C	20	1998-03-04	Yes	220 Lbs	6 ft6	No	No	No	3	Pro & Farm	875,000$	0$	0$	No	875,000$	875,000$	Lien
Logan Stanley	Seattle Thunderbirds (PIT)	D	20	1998-05-25	Yes	228 Lbs	6 ft7	No	No	No	3	Pro & Farm	863,333$	0$	0$	No	863,333$	863,333$	Lien
Matt Irwin	Seattle Thunderbirds (PIT)	D	30	1987-11-29	No	207 Lbs	6 ft1	No	No	No	1	Pro & Farm	675,000$	0$	0$	No			Lien
Matt Read	Seattle Thunderbirds (PIT)	C/LW/RW	32	1986-06-13	No	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	715,000$	0$	0$	No			Lien
Matt Tennyson	Seattle Thunderbirds (PIT)	D	28	1990-04-23	No	205 Lbs	6 ft2	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien
Mitch Gillam	Seattle Thunderbirds (PIT)	G	25	1992-09-24	Yes	174 Lbs	6 ft0	No	No	No	1	Pro & Farm	575,000$	0$	0$	No			Lien
Peter Cehlarik	Seattle Thunderbirds (PIT)	LW	23	1995-05-12	No	202 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Rob O'Gara	Seattle Thunderbirds (PIT)	D	24	1993-07-06	No	215 Lbs	6 ft4	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Rourke Chartier	Seattle Thunderbirds (PIT)	C	22	1996-04-02	No	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	697,500$	0$	0$	No			Lien
Sam Carrick	Seattle Thunderbirds (PIT)	C	26	1992-02-04	No	188 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Stefan Noesen	Seattle Thunderbirds (PIT)	LW/RW	25	1993-02-12	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,500,000$	0$	0$	No			Lien
T.J. Tynan	Seattle Thunderbirds (PIT)	C/RW	26	1992-02-24	No	165 Lbs	5 ft8	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Vincent LoVerde	Seattle Thunderbirds (PIT)	D	29	1989-04-13	No	205 Lbs	5 ft11	No	No	No	1	Pro & Farm	797,500$	0$	0$	No			Lien
Yannick Weber	Seattle Thunderbirds (PIT)	RW/D	29	1988-09-23	No	200 Lbs	5 ft11	No	No	No	1	Pro & Farm	675,000$	0$	0$	No			Lien
Zane McIntyre	Seattle Thunderbirds (PIT)	G	25	1992-08-20	No	206 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
28	25.43	196 Lbs	6 ft1	1.14	756,875$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jesperi Kotkaniemi	Sam Carrick	Stefan Noesen	33	1	2	2
2	Josh Leivo	Logan Brown	T.J. Tynan	33	1	2	2
3	Peter Cehlarik	Rourke Chartier	Brooks Macek	24	1	2	2
4	Brett Sutter	Emil Pettersson	Yannick Weber	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob Larsson	Jacob MacDonald	40	1	2	2
2	Yannick Weber	Matt Irwin	30	1	2	2
3	Matt Tennyson	Andrew Campbell	20	1	2	2
4	Logan Stanley	Jacob Larsson	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Josh Leivo	Jesperi Kotkaniemi	Stefan Noesen	60	1	2	2
2	Matt Read	Sam Carrick	T.J. Tynan	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob Larsson	Jacob MacDonald	60	1	2	2
2	Yannick Weber	Matt Irwin	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jesperi Kotkaniemi	Josh Leivo	60	1	2	2
2	Sam Carrick	Stefan Noesen	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob Larsson	Jacob MacDonald	60	1	2	2
2	Yannick Weber	Matt Irwin	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jesperi Kotkaniemi	60	1	2	2	Jacob Larsson	Jacob MacDonald	60	1	2	2
2	Josh Leivo	40	1	2	2	Yannick Weber	Matt Irwin	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jesperi Kotkaniemi	Josh Leivo	60	1	2	2
2	Sam Carrick	Stefan Noesen	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob Larsson	Jacob MacDonald	60	1	2	2
2	Yannick Weber	Matt Irwin	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Josh Leivo	Jesperi Kotkaniemi	Stefan Noesen	Jacob Larsson	Jacob MacDonald

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Josh Leivo	Jesperi Kotkaniemi	Stefan Noesen	Jacob Larsson	Jacob MacDonald

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Rourke Chartier, Logan Brown, Brooks Macek	Rourke Chartier, Logan Brown	Brooks Macek

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Matt Tennyson, Andrew Campbell, Logan Stanley	Matt Tennyson	Andrew Campbell, Logan Stanley

Tirs de Pénalité
Jesperi Kotkaniemi, Josh Leivo, Sam Carrick, Stefan Noesen, T.J. Tynan

Gardien
#1 : Mitch Gillam, #2 : John Muse

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	Binghampton Senators	3	1	1	0	0	1	0	0	11	12	-1	1	0	0	0	0	1	0	0	2	3	-1	2	1	1	0	0	0	0	0	9	9	0	3	0.500	11	14	25	0	0	87	177	108	11	101	758	1103	824	42	110	37	75	67	5	3	60.00%	10	2	80.00%	1	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
2	Boisbriand Armada	2	0	2	0	0	0	0	0	7	12	-5	1	0	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	7	12	19	0	0	87	177	108	11	51	758	1103	824	42	97	37	45	28	1	0	0.00%	5	2	60.00%	1	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
3	Brampton Battalion	2	1	1	0	0	0	0	0	13	14	-1	1	0	1	0	0	0	0	0	5	8	-3	1	1	0	0	0	0	0	0	8	6	2	2	0.500	13	19	32	0	0	87	177	108	11	76	758	1103	824	42	83	35	8	54	7	2	28.57%	4	3	25.00%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
4	Bridgeport Sound Tigers	4	3	1	0	0	0	0	0	26	11	15	3	2	1	0	0	0	0	0	18	10	8	1	1	0	0	0	0	0	0	8	1	7	6	0.750	26	43	69	1	0	87	177	108	11	130	758	1103	824	42	109	35	141	56	12	5	41.67%	13	3	76.92%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
5	Calgary Hitman	3	3	0	0	0	0	0	0	21	10	11	2	2	0	0	0	0	0	0	12	7	5	1	1	0	0	0	0	0	0	9	3	6	6	1.000	21	37	58	0	0	87	177	108	11	98	758	1103	824	42	103	31	52	50	9	4	44.44%	6	1	83.33%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
6	Chicago Wolves	3	3	0	0	0	0	0	0	20	8	12	1	1	0	0	0	0	0	0	4	2	2	2	2	0	0	0	0	0	0	16	6	10	6	1.000	20	35	55	0	0	87	177	108	11	96	758	1103	824	42	96	27	64	44	9	3	33.33%	7	3	57.14%	1	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
7	Chicoutimi Sagueneens	3	2	0	0	0	0	0	1	19	12	7	2	1	0	0	0	0	0	1	13	8	5	1	1	0	0	0	0	0	0	6	4	2	5	0.833	19	30	49	0	0	87	177	108	11	122	758	1103	824	42	123	38	78	57	12	5	41.67%	9	3	66.67%	2	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
8	Drummondville Voltigeurs	2	1	1	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	6	11	17	0	0	87	177	108	11	71	758	1103	824	42	45	25	21	42	4	1	25.00%	3	0	100.00%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
9	Grand Rapids Griffins	3	2	1	0	0	0	0	0	23	15	8	1	1	0	0	0	0	0	0	9	4	5	2	1	1	0	0	0	0	0	14	11	3	4	0.667	23	37	60	0	0	87	177	108	11	106	758	1103	824	42	128	33	21	46	6	5	83.33%	3	1	66.67%	1	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
10	Hartford Wolf Pack	3	2	1	0	0	0	0	0	10	8	2	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	3	2	1	4	0.667	10	13	23	0	0	87	177	108	11	93	758	1103	824	42	118	36	17	61	3	0	0.00%	6	2	66.67%	1	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
11	Hershey Bears	4	0	2	0	0	1	0	1	14	21	-7	1	0	1	0	0	0	0	0	2	5	-3	3	0	1	0	0	1	0	1	12	16	-4	2	0.250	14	19	33	0	0	87	177	108	11	113	758	1103	824	42	133	45	38	78	13	4	30.77%	14	4	71.43%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
12	Lake Erie Monsters	2	1	1	0	0	0	0	0	10	9	1	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	10	16	26	0	0	87	177	108	11	76	758	1103	824	42	67	16	30	52	13	5	38.46%	5	2	60.00%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
13	Las Vegas Wranglers	2	1	1	0	0	0	0	0	9	10	-1	1	0	1	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	5	4	1	2	0.500	9	18	27	0	0	87	177	108	11	75	758	1103	824	42	94	33	21	38	3	2	66.67%	3	1	66.67%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
14	Laval Rockets	4	1	2	0	0	0	1	0	16	16	0	2	0	2	0	0	0	0	0	5	10	-5	2	1	0	0	0	0	1	0	11	6	5	4	0.500	16	20	36	0	0	87	177	108	11	130	758	1103	824	42	163	68	48	96	10	3	30.00%	14	4	71.43%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
15	London Knights	2	1	0	0	0	0	1	0	10	5	5	1	1	0	0	0	0	0	0	5	1	4	1	0	0	0	0	0	1	0	5	4	1	4	1.000	10	15	25	0	0	87	177	108	11	63	758	1103	824	42	61	21	28	37	5	2	40.00%	4	2	50.00%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
16	Lowell Devils	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	11	18	0	0	87	177	108	11	78	758	1103	824	42	64	24	12	28	4	1	25.00%	6	0	100.00%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
17	Manitoba Moose	3	1	2	0	0	0	0	0	10	13	-3	1	1	0	0	0	0	0	0	6	4	2	2	0	2	0	0	0	0	0	4	9	-5	2	0.333	10	17	27	0	0	87	177	108	11	87	758	1103	824	42	103	37	100	68	13	3	23.08%	10	6	40.00%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
18	Milwaukee Admirals	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	5	9	14	0	0	87	177	108	11	72	758	1103	824	42	96	16	17	29	3	1	33.33%	6	1	83.33%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
19	Peoria Riverman	4	2	1	0	1	0	0	0	20	17	3	2	1	0	0	1	0	0	0	8	5	3	2	1	1	0	0	0	0	0	12	12	0	6	0.750	20	31	51	0	0	87	177	108	11	144	758	1103	824	42	201	64	39	68	6	4	66.67%	12	4	66.67%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
20	Philadelphia Phantoms	3	0	3	0	0	0	0	0	4	12	-8	2	0	2	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	4	6	10	1	0	87	177	108	11	79	758	1103	824	42	127	48	21	47	3	1	33.33%	8	3	62.50%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
21	Portland Pirates	4	4	0	0	0	0	0	0	30	11	19	2	2	0	0	0	0	0	0	17	7	10	2	2	0	0	0	0	0	0	13	4	9	8	1.000	30	53	83	0	0	87	177	108	11	139	758	1103	824	42	157	66	74	69	12	8	66.67%	12	3	75.00%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
22	Quebec Rempart	2	0	1	0	1	0	0	0	6	10	-4	1	0	1	0	0	0	0	0	1	6	-5	1	0	0	0	1	0	0	0	5	4	1	2	0.500	6	7	13	0	0	87	177	108	11	68	758	1103	824	42	59	14	56	34	5	1	20.00%	3	0	100.00%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
23	Rimouski Oceanic	3	1	0	0	1	0	0	1	11	8	3	1	1	0	0	0	0	0	0	4	1	3	2	0	0	0	1	0	0	1	7	7	0	5	0.833	11	20	31	0	0	87	177	108	11	86	758	1103	824	42	72	24	56	66	3	0	0.00%	8	3	62.50%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
24	Rochester Americans	2	0	1	0	0	0	0	1	7	10	-3	1	0	0	0	0	0	0	1	4	5	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0.250	7	10	17	0	0	87	177	108	11	63	758	1103	824	42	72	22	23	33	4	1	25.00%	9	3	66.67%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
25	Sherbrooke Phoenix	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	2	1	4	1.000	9	13	22	0	0	87	177	108	11	57	758	1103	824	42	68	28	21	34	0	0	0.00%	3	0	100.00%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
26	Texas Stars	5	4	1	0	0	0	0	0	22	17	5	3	3	0	0	0	0	0	0	18	10	8	2	1	1	0	0	0	0	0	4	7	-3	8	0.800	22	36	58	0	0	87	177	108	11	185	758	1103	824	42	163	56	79	122	19	5	26.32%	6	2	66.67%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
27	Toronto Marlies	2	0	1	0	1	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	4	-3	1	0	0	0	1	0	0	0	2	1	1	2	0.500	3	5	8	0	0	87	177	108	11	48	758	1103	824	42	56	21	58	36	3	1	33.33%	4	2	50.00%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
	Total	82	44	25	0	4	3	2	4	378	302	76	41	25	12	0	1	1	0	2	191	147	44	41	19	13	0	3	2	2	2	187	155	32	107	0.652	378	604	982	2	1	87	177	108	11	2701	758	1103	824	42	2991	1020	1290	1533	199	73	36.68%	209	62	70.33%	7	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
29	Victoriaville Tigres	2	2	0	0	0	0	0	0	14	8	6	1	1	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	6	4	2	4	1.000	14	24	38	0	0	87	177	108	11	68	758	1103	824	42	97	31	25	43	2	0	0.00%	10	2	80.00%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
30	Worcester Sharks	4	3	0	0	0	1	0	0	15	11	4	2	2	0	0	0	0	0	0	9	5	4	2	1	0	0	0	1	0	0	6	6	0	7	0.875	15	23	38	0	1	87	177	108	11	126	758	1103	824	42	126	52	22	50	10	3	30.00%	6	0	100.00%	0	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
	_Since Last GM Reset	82	44	25	0	4	3	2	4	378	302	76	41	25	12	0	1	1	0	2	191	147	44	41	19	13	0	3	2	2	2	187	155	32	107	0.652	378	604	982	2	1	87	177	108	11	2701	758	1103	824	42	2991	1020	1290	1533	199	73	36.68%	209	62	70.33%	7	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
	_Vs Conference	50	28	14	0	2	2	1	3	240	180	60	25	16	7	0	1	0	0	1	122	85	37	25	12	7	0	1	2	1	2	118	95	23	67	0.670	240	383	623	2	1	87	177	108	11	1636	758	1103	824	42	1819	629	798	928	131	49	37.40%	128	41	67.97%	5	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
	_Vs Division	17	11	4	0	1	0	1	0	65	65	0	8	6	2	0	1	0	0	0	31	30	1	9	5	2	0	0	0	1	0	34	35	-1	26	0.765	65	105	170	0	0	87	177	108	11	578	758	1103	824	42	583	191	245	333	40	11	27.50%	40	11	72.50%	1	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824

			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	107	W1	378	604	982	2701	2991	1020	1290	1533	2	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	44	25	4	3	2	4	378	302

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	25	12	1	1	0	2	191	147

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	19	13	3	2	2	2	187	155

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	7	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
199	73	36.68%	209	62	70.33%	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
758	1103	824	42	87	177	108	11

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
938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%

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
1667	876	1697	767	1598	824

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 - 2019-10-04	2	Texas Stars	2	Seattle Thunderbirds	5	W			Sommaire du Match
3 - 2019-10-06	21	Seattle Thunderbirds	5	Hershey Bears	6	L	X		Sommaire du Match
5 - 2019-10-08	37	Seattle Thunderbirds	5	Grand Rapids Griffins	6	L			Sommaire du Match
6 - 2019-10-09	49	Bridgeport Sound Tigers	4	Seattle Thunderbirds	11	W			Sommaire du Match
7 - 2019-10-10	62	Seattle Thunderbirds	2	Manitoba Moose	6	L			Sommaire du Match
9 - 2019-10-12	79	Calgary Hitman	2	Seattle Thunderbirds	4	W			Sommaire du Match
11 - 2019-10-14	97	Seattle Thunderbirds	1	Texas Stars	5	L			Sommaire du Match
12 - 2019-10-15	110	Portland Pirates	4	Seattle Thunderbirds	9	W			Sommaire du Match
14 - 2019-10-17	127	Peoria Riverman	2	Seattle Thunderbirds	4	W			Sommaire du Match
15 - 2019-10-18	140	Seattle Thunderbirds	5	Hershey Bears	6	L	X	X	Sommaire du Match
17 - 2019-10-20	155	Texas Stars	4	Seattle Thunderbirds	5	W			Sommaire du Match
19 - 2019-10-22	175	Seattle Thunderbirds	3	Peoria Riverman	7	L			Sommaire du Match
20 - 2019-10-23	183	Seattle Thunderbirds	5	Binghampton Senators	3	W			Sommaire du Match
22 - 2019-10-25	200	Seattle Thunderbirds	6	Rimouski Oceanic	5	W	X		Sommaire du Match
23 - 2019-10-26	209	Chicoutimi Sagueneens	3	Seattle Thunderbirds	9	W			Sommaire du Match
25 - 2019-10-28	226	Bridgeport Sound Tigers	5	Seattle Thunderbirds	3	L			Sommaire du Match
27 - 2019-10-30	240	Seattle Thunderbirds	2	Worcester Sharks	1	W			Sommaire du Match
29 - 2019-11-01	260	Boisbriand Armada	7	Seattle Thunderbirds	4	L			Sommaire du Match
30 - 2019-11-02	268	Seattle Thunderbirds	4	Worcester Sharks	5	L	X		Sommaire du Match
31 - 2019-11-03	287	Sherbrooke Phoenix	3	Seattle Thunderbirds	6	W			Sommaire du Match
33 - 2019-11-05	306	Seattle Thunderbirds	1	Rimouski Oceanic	2	L	X	X	Sommaire du Match
34 - 2019-11-06	313	Seattle Thunderbirds	3	Portland Pirates	2	W			Sommaire du Match
36 - 2019-11-08	325	Calgary Hitman	5	Seattle Thunderbirds	8	W			Sommaire du Match
37 - 2019-11-09	343	Seattle Thunderbirds	6	Laval Rockets	2	W			Sommaire du Match
39 - 2019-11-11	355	Peoria Riverman	3	Seattle Thunderbirds	4	W	X		Sommaire du Match
41 - 2019-11-13	373	Seattle Thunderbirds	2	Drummondville Voltigeurs	3	L			Sommaire du Match
42 - 2019-11-14	388	Rimouski Oceanic	1	Seattle Thunderbirds	4	W			Sommaire du Match
44 - 2019-11-16	407	Lake Erie Monsters	4	Seattle Thunderbirds	6	W			Sommaire du Match
45 - 2019-11-17	422	Seattle Thunderbirds	3	Sherbrooke Phoenix	2	W			Sommaire du Match
47 - 2019-11-19	436	Seattle Thunderbirds	5	London Knights	4	W	X	X	Sommaire du Match
48 - 2019-11-20	445	Seattle Thunderbirds	9	Peoria Riverman	5	W			Sommaire du Match
49 - 2019-11-21	453	Chicago Wolves	2	Seattle Thunderbirds	4	W			Sommaire du Match
51 - 2019-11-23	474	Seattle Thunderbirds	6	Victoriaville Tigres	4	W			Sommaire du Match
52 - 2019-11-24	482	Hartford Wolf Pack	2	Seattle Thunderbirds	4	W			Sommaire du Match
54 - 2019-11-26	506	Drummondville Voltigeurs	1	Seattle Thunderbirds	4	W			Sommaire du Match
56 - 2019-11-28	522	Seattle Thunderbirds	5	Quebec Rempart	4	W	X		Sommaire du Match
57 - 2019-11-29	535	Seattle Thunderbirds	6	Chicoutimi Sagueneens	4	W			Sommaire du Match
58 - 2019-11-30	542	Laval Rockets	4	Seattle Thunderbirds	1	L			Sommaire du Match
60 - 2019-12-02	562	Milwaukee Admirals	1	Seattle Thunderbirds	3	W			Sommaire du Match
62 - 2019-12-04	584	Seattle Thunderbirds	3	Lowell Devils	2	W			Sommaire du Match
63 - 2019-12-05	594	Seattle Thunderbirds	5	Las Vegas Wranglers	4	W			Sommaire du Match
65 - 2019-12-07	608	Hershey Bears	5	Seattle Thunderbirds	2	L			Sommaire du Match
67 - 2019-12-09	626	Portland Pirates	3	Seattle Thunderbirds	8	W			Sommaire du Match
69 - 2019-12-11	646	Las Vegas Wranglers	6	Seattle Thunderbirds	4	L			Sommaire du Match
71 - 2019-12-13	665	Seattle Thunderbirds	3	Hartford Wolf Pack	2	W			Sommaire du Match
72 - 2019-12-14	679	Lowell Devils	2	Seattle Thunderbirds	4	W			Sommaire du Match
74 - 2019-12-16	694	Seattle Thunderbirds	2	Milwaukee Admirals	3	L			Sommaire du Match
75 - 2019-12-17	709	Texas Stars	4	Seattle Thunderbirds	8	W			Sommaire du Match
77 - 2019-12-19	727	Seattle Thunderbirds	10	Portland Pirates	2	W			Sommaire du Match
78 - 2019-12-20	740	Seattle Thunderbirds	8	Chicago Wolves	2	W			Sommaire du Match
80 - 2019-12-22	750	Quebec Rempart	6	Seattle Thunderbirds	1	L			Sommaire du Match
81 - 2019-12-23	769	Seattle Thunderbirds	8	Chicago Wolves	4	W			Sommaire du Match
82 - 2019-12-24	778	Manitoba Moose	4	Seattle Thunderbirds	6	W			Sommaire du Match
84 - 2019-12-26	793	Seattle Thunderbirds	4	Binghampton Senators	6	L			Sommaire du Match
85 - 2019-12-27	808	Binghampton Senators	3	Seattle Thunderbirds	2	L	X		Sommaire du Match
87 - 2019-12-29	828	Grand Rapids Griffins	4	Seattle Thunderbirds	9	W			Sommaire du Match
88 - 2019-12-30	840	Seattle Thunderbirds	3	Boisbriand Armada	5	L			Sommaire du Match
90 - 2020-01-01	856	Seattle Thunderbirds	3	Texas Stars	2	W			Sommaire du Match
91 - 2020-01-02	867	Brampton Battalion	8	Seattle Thunderbirds	5	L			Sommaire du Match
94 - 2020-01-05	886	Seattle Thunderbirds	8	Brampton Battalion	6	W			Sommaire du Match
95 - 2020-01-06	898	London Knights	1	Seattle Thunderbirds	5	W			Sommaire du Match
97 - 2020-01-08	917	Toronto Marlies	4	Seattle Thunderbirds	1	L			Sommaire du Match
99 - 2020-01-10	942	Rochester Americans	5	Seattle Thunderbirds	4	L	X	X	Sommaire du Match
101 - 2020-01-12	957	Seattle Thunderbirds	8	Bridgeport Sound Tigers	1	W			Sommaire du Match
102 - 2020-01-13	969	Seattle Thunderbirds	2	Hershey Bears	4	L			Sommaire du Match
104 - 2020-01-15	982	Chicoutimi Sagueneens	5	Seattle Thunderbirds	4	L	X	X	Sommaire du Match
105 - 2020-01-16	1001	Bridgeport Sound Tigers	1	Seattle Thunderbirds	4	W			Sommaire du Match
108 - 2020-01-19	1022	Laval Rockets	6	Seattle Thunderbirds	4	L			Sommaire du Match
110 - 2020-01-21	1038	Seattle Thunderbirds	9	Calgary Hitman	3	W			Sommaire du Match
111 - 2020-01-22	1048	Seattle Thunderbirds	2	Toronto Marlies	1	W	X		Sommaire du Match
112 - 2020-01-23	1063	Worcester Sharks	0	Seattle Thunderbirds	3	W			Sommaire du Match
114 - 2020-01-25	1076	Seattle Thunderbirds	5	Laval Rockets	4	W	X	X	Sommaire du Match
116 - 2020-01-27	1091	Victoriaville Tigres	4	Seattle Thunderbirds	8	W			Sommaire du Match
118 - 2020-01-29	1114	Worcester Sharks	5	Seattle Thunderbirds	6	W			Sommaire du Match
119 - 2020-01-30	1123	Seattle Thunderbirds	3	Rochester Americans	5	L			Sommaire du Match
122 - 2020-02-02	1145	Philadelphia Phantoms	3	Seattle Thunderbirds	1	L			Sommaire du Match
123 - 2020-02-03	1158	Seattle Thunderbirds	2	Philadelphia Phantoms	4	L			Sommaire du Match
125 - 2020-02-05	1172	Philadelphia Phantoms	5	Seattle Thunderbirds	1	L			Sommaire du Match
128 - 2020-02-08	1193	Seattle Thunderbirds	4	Lake Erie Monsters	5	L			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
129 - 2020-02-09	1203	Seattle Thunderbirds	2	Manitoba Moose	3	L			Sommaire du Match
132 - 2020-02-12	1215	Hartford Wolf Pack	4	Seattle Thunderbirds	3	L			Sommaire du Match
133 - 2020-02-13	1227	Seattle Thunderbirds	9	Grand Rapids Griffins	5	W			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	35	15
Assistance	64,416	33,017
Assistance PCT	78.56%	80.53%

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	2376 - 79.21%	99,932$	4,097,224$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,152,568$	2,119,250$	2,114,250$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	2,152,568$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	16,263$	0$

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
2019	82	44	25	0	4	3	2	4	378	302	76	41	25	12	0	1	1	0	2	191	147	44	41	19	13	0	3	2	2	2	187	155	32	107	378	604	982	2	1	87	177	108	11	2701	758	1103	824	42	2991	1020	1290	1533	199	73	36.68%	209	62	70.33%	7	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824
Total Saison Régulière	82	44	25	0	4	3	2	4	378	302	76	41	25	12	0	1	1	0	2	191	147	44	41	19	13	0	3	2	2	2	187	155	32	107	378	604	982	2	1	87	177	108	11	2701	758	1103	824	42	2991	1020	1290	1533	199	73	36.68%	209	62	70.33%	7	938	1631	57.51%	1026	1839	55.79%	808	1448	55.80%	1667	876	1697	767	1598	824