Stanley Cup Winners Hockey League

TAMPA BAY Lightning
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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	Ryan Reaves	0			X		100.00	99	73	65	59	85	78	89	58	54	60	62	57	56	82	74	29	99	70	0	33	3	750,000$
2	Cal O'Reilly	0	X				100.00	58	42	82	63	72	87	85	61	68	65	56	58	63	84	74	51	99	69	0	33	1	750,000$
3	Brendan Leipsic	0		X			100.00	70	42	86	65	68	74	87	63	54	66	59	56	63	71	67	63	99	68	0	26	5	750,000$
4	Liam O'Brien	0		X			100.00	67	65	74	59	80	88	91	58	54	57	56	60	59	71	66	59	99	68	0	26	5	750,000$
5	Lance Bouma	0	X	X	X		100.00	68	57	78	58	82	86	88	57	52	54	56	59	55	78	67	53	99	67	0	30	5	750,000$
6	Jordan Szwarz	0			X		100.00	59	45	87	63	71	78	79	62	68	60	61	59	62	77	67	54	99	67	0	29	5	750,000$
7	Zac Dalpe	0	X				100.00	63	45	89	62	80	73	72	61	69	60	63	59	62	77	79	58	99	67	0	30	5	750,000$
8	Marko Dano	0	X	X			100.00	60	52	81	62	73	77	78	63	54	60	58	61	63	71	66	76	99	66	0	25	1	950,000$
9	Andy Andreoff	0	X	X			100.00	76	44	67	69	74	74	62	64	40	65	63	60	66	56	55	55	99	65	0	29	4	750,000$
10	Cole Cassels	0	X		X		100.00	54	44	85	59	70	85	84	58	73	60	56	54	58	69	65	61	99	65	0	25	5	750,000$
11	Nicholas Shore	0	X				100.00	68	40	84	58	77	65	82	57	74	53	56	69	58	75	68	53	99	65	0	27	3	750,000$
12	Zach Trotman	0				X	100.00	67	46	85	60	87	76	67	58	30	59	57	61	55	78	68	46	99	66	0	30	1	750,000$
13	Gustav Olofsson	0				X	100.00	63	41	87	59	80	76	74	57	30	58	56	59	45	71	66	70	99	65	0	25	3	750,000$
14	Ian McCoshen	0				X	100.00	66	49	84	59	85	78	72	58	30	57	56	61	48	69	65	74	99	65	0	25	5	750,000$
Rayé
1	Miikka Salomaki	0		X	X		100.00	64	43	88	61	73	78	75	62	55	59	59	63	60	73	68	61	99	66	0	27	2	950,000$
2	T.J. Tynan	0	X	X	X		100.00	56	39	84	64	62	77	75	63	76	65	58	61	64	75	68	54	99	66	0	28	5	750,000$

	MOYENNE D'ÉQUIPE					100.00	66	48	82	61	76	78	79	60	55	60	58	60	59	74	68	57	99	67

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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	Calvin Pickard	100.00	78	69	67	79	77	76	78	77	76	78	77	75	81	59	99	69	0
2	Zane McIntyre	100.00	70	86	84	82	69	68	70	69	68	70	69	75	81	57	99	66	0
3	Zachary Fucale	100.00	60	53	51	78	59	58	60	59	58	60	59	69	73	72	99	56	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	69	69	67	80	68	67	69	68	67	69	68	73	78	63	99	64

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dale Hunter	65	65	65	65	76	76	50	CAN	61	2	300,000$

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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	Ryan Reaves	SYRACUSE Crunch (TBL)	RW	54	21	34	55	28	94	0	229	68	188	51	153	11.17%	19	1306	24.19	3	7	10	14	111	0	2	2	6	159	6	1	64.16%	413	0	0	0	0	0.84	0	1	0	0	0	5	3	3
2	Brendan Leipsic	SYRACUSE Crunch (TBL)	LW	61	21	32	53	30	24	0	74	63	224	57	179	9.38%	13	1217	19.95	1	6	7	24	122	0	0	0	6	153	3	0	58.46%	65	0	0	0	0	0.87	0	1	0	0	0	5	3	1
3	Ian McCoshen	SYRACUSE Crunch (TBL)	D	63	11	42	53	55	74	0	117	52	95	34	64	11.58%	76	1558	24.74	3	3	6	39	109	1	1	2	3	164	3	0	0.00%	0	0	2	0	0	0.68	0	0	0	0	0	1	1	3
4	Cal O'Reilly	SYRACUSE Crunch (TBL)	C	61	20	32	52	11	0	0	4	105	205	51	143	9.76%	16	1211	19.87	4	8	12	22	123	2	1	3	16	237	2	2	66.27%	1263	0	0	1	0	0.86	0	2	0	0	0	1	3	3
5	Marko Dano	SYRACUSE Crunch (TBL)	C/LW	63	24	28	52	40	40	10	66	60	185	48	122	12.97%	7	883	14.03	0	0	0	0	0	0	0	0	0	1	4	0	62.71%	59	1	0	0	0	1.18	0	0	1	1	0	4	3	1
6	Zac Dalpe	SYRACUSE Crunch (TBL)	C	61	14	34	48	35	41	5	47	78	196	39	136	7.14%	18	968	15.88	0	0	0	1	11	0	1	1	3	66	0	0	62.93%	1009	0	0	0	0	0.99	1	1	0	0	1	1	1	3
7	Lance Bouma	SYRACUSE Crunch (TBL)	C/LW/RW	63	15	29	44	31	30	0	72	74	154	37	121	9.74%	11	1067	16.95	1	4	5	21	116	0	0	0	0	9	4	0	57.60%	1269	2	0	0	1	0.82	0	0	0	0	0	2	4	1
8	Jordan Szwarz	SYRACUSE Crunch (TBL)	RW	63	18	25	43	35	16	0	28	55	184	52	153	9.78%	15	917	14.56	0	1	1	4	11	0	0	0	0	3	2	0	74.51%	51	1	0	0	1	0.94	0	0	0	0	0	1	2	4
9	Liam O'Brien	SYRACUSE Crunch (TBL)	LW	61	15	22	37	10	10	0	22	59	167	50	119	8.98%	20	1065	17.46	4	5	9	28	123	0	1	1	5	161	3	3	53.44%	262	0	0	0	0	0.69	0	1	0	0	0	2	2	3
10	Gustav Olofsson	SYRACUSE Crunch (TBL)	D	61	9	27	36	58	38	0	77	38	91	22	55	9.89%	57	1306	21.42	1	7	8	32	112	0	0	0	0	196	0	1	0.00%	0	0	0	0	1	0.55	0	0	0	0	0	1	2	2
11	T.J. Tynan	SYRACUSE Crunch (TBL)	C/LW/RW	54	18	17	35	27	16	0	46	90	161	34	97	11.18%	26	922	17.08	1	0	1	3	7	0	0	0	1	50	4	1	63.88%	645	1	0	0	1	0.76	0	0	0	0	0	2	1	2
12	Zach Trotman	SYRACUSE Crunch (TBL)	D	63	6	27	33	30	66	0	129	47	99	29	53	6.06%	82	1540	24.45	3	4	7	40	128	0	0	0	6	167	1	0	0.00%	0	1	2	0	0	0.43	0	1	0	0	0	1	0	2
13	Andy Andreoff	SYRACUSE Crunch (TBL)	C/LW	61	16	12	28	24	22	0	23	32	105	21	80	15.24%	6	417	6.85	0	0	0	0	0	0	0	0	0	0	3	1	47.83%	23	0	0	0	0	1.34	0	0	0	0	0	0	1	2
14	Miikka Salomaki	SYRACUSE Crunch (TBL)	LW/RW	54	9	14	23	16	10	0	51	49	124	37	82	7.26%	8	746	13.82	0	0	0	0	0	0	0	0	0	0	3	1	56.52%	46	0	0	0	0	0.62	0	0	0	0	0	1	3	2
15	Cole Cassels	SYRACUSE Crunch (TBL)	C/RW	63	6	17	23	26	4	0	7	47	82	18	42	7.32%	6	489	7.78	0	0	0	0	0	0	0	0	0	0	1	1	60.79%	431	2	0	0	0	0.94	0	0	0	0	0	0	1	1
16	Nicholas Shore	SYRACUSE Crunch (TBL)	C	61	3	4	7	7	2	0	16	18	27	5	12	11.11%	7	220	3.61	0	0	0	0	4	0	0	0	0	23	0	0	60.82%	97	0	0	0	0	0.64	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				967	226	396	622	463	487	15	1008	935	2287	585	1611	9.88%	387	15839	16.38	21	45	66	228	984	3	6	9	46	1396	39	11	61.97%	5633	8	4	1	4	0.79	1	7	1	1	1	27	30	33

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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	Calvin Pickard	SYRACUSE Crunch (TBL)	61	36	22	3	0.909	2.40	3676	7	147	1607	0	4	2	0.714	7	61	0	6	4	2
2	Zane McIntyre	SYRACUSE Crunch (TBL)	2	2	0	0	0.919	3.50	120	0	7	86	21	0	0	0.000	0	2	61	0	0	0
Stats d'équipe Total ou en Moyenne			63	38	22	3	0.909	2.43	3796	7	154	1693	21	4	2	0.714	7	63	61	6	4	2

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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	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Link
Andy Andreoff	SYRACUSE Crunch (TBL)	C/LW	29	5/17/1991	No	92 Kg	185 CM	No	No	No	4	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$	750,000$		Lien
Brendan Leipsic	SYRACUSE Crunch (TBL)	LW	26	5/19/1994	No	82 Kg	180 CM	No	No	No	5	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
Cal O'Reilly	SYRACUSE Crunch (TBL)	C	33	9/30/1986	No	85 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No					Lien
Calvin Pickard	SYRACUSE Crunch (TBL)	G	28	4/15/1992	No	95 Kg	185 CM	No	No	No	2	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$				Lien
Cole Cassels	SYRACUSE Crunch (TBL)	C/RW	25	5/4/1995	No	82 Kg	183 CM	No	No	No	5	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
Gustav Olofsson	SYRACUSE Crunch (TBL)	D	25	12/1/1994	No	91 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$			Lien
Ian McCoshen	SYRACUSE Crunch (TBL)	D	25	8/5/1995	No	95 Kg	191 CM	No	No	No	5	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
Jordan Szwarz	SYRACUSE Crunch (TBL)	RW	29	5/14/1991	No	87 Kg	180 CM	No	No	No	5	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
Lance Bouma	SYRACUSE Crunch (TBL)	C/LW/RW	30	3/25/1990	No	95 Kg	188 CM	No	No	No	5	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
Liam O'Brien	SYRACUSE Crunch (TBL)	LW	26	7/29/1994	No	97 Kg	185 CM	No	No	No	5	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
Marko Dano	SYRACUSE Crunch (TBL)	C/LW	25	11/30/1994	No	91 Kg	180 CM	No	No	No	1	Pro & Farm	950,000$	225,424$	950,000$	225,424$	0$	0$	No					Lien
Miikka Salomaki	SYRACUSE Crunch (TBL)	LW/RW	27	3/9/1993	No	92 Kg	180 CM	No	No	No	2	Pro & Farm	950,000$	225,424$	950,000$	225,424$	0$	0$	No	950,000$				Lien
Nicholas Shore	SYRACUSE Crunch (TBL)	C	27	9/26/1992	No	90 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$			Lien
Ryan Reaves	SYRACUSE Crunch (TBL)	RW	33	1/20/1987	No	102 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$
T.J. Tynan	SYRACUSE Crunch (TBL)	C/LW/RW	28	2/25/1992	No	75 Kg	173 CM	No	No	No	5	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
Zac Dalpe	SYRACUSE Crunch (TBL)	C	30	11/1/1989	No	90 Kg	188 CM	No	No	No	5	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
Zach Trotman	SYRACUSE Crunch (TBL)	D	30	8/26/1990	No	99 Kg	191 CM	No	No	No	1	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No					Lien
Zachary Fucale	SYRACUSE Crunch (TBL)	G	25	5/28/1995	No	85 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$			Lien
Zane McIntyre	SYRACUSE Crunch (TBL)	G	28	8/20/1992	No	94 Kg	188 CM	No	No	No	1	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No					Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
19	27.84	90 Kg	185 CM	3.37	771,053$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Liam O'Brien	Cal O'Reilly	Ryan Reaves	31	1	2	2
2	Brendan Leipsic	Lance Bouma		26	1	2	2
3	Marko Dano	Zac Dalpe	Jordan Szwarz	23	1	2	2
4	Andy Andreoff	Cole Cassels	Ryan Reaves	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Zach Trotman	31	1	2	2
2	Ian McCoshen	Gustav Olofsson	26	1	2	2
3			23	1	2	2
4	Zach Trotman	Ian McCoshen	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Liam O'Brien	Cal O'Reilly	Ryan Reaves	55	1	2	2
2	Brendan Leipsic	Lance Bouma		45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Zach Trotman	55	1	2	2
2	Ian McCoshen	Gustav Olofsson	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan Reaves	Cal O'Reilly	55	1	2	2
2	Liam O'Brien	Brendan Leipsic	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Zach Trotman	55	1	2	2
2	Ian McCoshen	Gustav Olofsson	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Reaves	55	1	2	2		Zach Trotman	55	1	2	2
2	Cal O'Reilly	45	1	2	2	Ian McCoshen	Gustav Olofsson	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan Reaves	Cal O'Reilly	55	1	2	2
2	Liam O'Brien	Brendan Leipsic	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Zach Trotman	55	1	2	2
2	Ian McCoshen	Gustav Olofsson	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Liam O'Brien	Cal O'Reilly	Ryan Reaves		Zach Trotman

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Liam O'Brien	Cal O'Reilly	Ryan Reaves		Zach Trotman

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nicholas Shore, Jordan Szwarz, Zac Dalpe	Nicholas Shore, Jordan Szwarz	Zac Dalpe

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Gustav Olofsson,		Gustav Olofsson,

Tirs de Pénalité
Ryan Reaves, Cal O'Reilly, Liam O'Brien, Brendan Leipsic,

Gardien
#1 : Calvin Pickard, #2 : Zane McIntyre, #3 : Zachary Fucale

Lignes d'Attaque Perso. en Prol.
Ryan Reaves, Cal O'Reilly, Liam O'Brien, Brendan Leipsic, , Lance Bouma, Lance Bouma, Jordan Szwarz, Zac Dalpe, Marko Dano, Cole Cassels

Lignes de Défense Perso. en Prol.
, Zach Trotman, Ian McCoshen, Gustav Olofsson,

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	BAKERSFIELD Condors	5	5	0	0	0	0	0	0	35	3	32	2	2	0	0	0	0	0	0	16	1	15	3	3	0	0	0	0	0	0	19	2	17	10	1.000	35	64	99	0	3	108	79	53	4	329	749	829	808	30	56	19	32	110	6	2	33.33%	16	1	93.75%	2	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
2	BELLEVILLE Senators	1	1	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	9	2	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	13	22	0	0	108	79	53	4	58	749	829	808	30	17	0	2	17	3	1	33.33%	1	0	100.00%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
3	BINGHAMTON Devils	3	3	0	0	0	0	0	0	11	6	5	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	6	1.000	11	19	30	0	0	108	79	53	4	102	749	829	808	30	80	17	24	56	8	3	37.50%	11	2	81.82%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
4	BRIDGEPORT Sound Tigers	1	0	0	0	0	1	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	6	9	0	0	108	79	53	4	19	749	829	808	30	40	14	14	17	0	0	0.00%	6	0	100.00%	1	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
5	BROOKLYN Wolfpack	4	3	0	0	0	1	0	0	9	5	4	3	2	0	0	0	1	0	0	6	4	2	1	1	0	0	0	0	0	0	3	1	2	7	0.875	9	18	27	0	1	108	79	53	4	148	749	829	808	30	93	28	44	57	5	1	20.00%	21	3	85.71%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
6	CAROLINA Checkers	3	3	0	0	0	0	0	0	26	6	20	1	1	0	0	0	0	0	0	11	2	9	2	2	0	0	0	0	0	0	15	4	11	6	1.000	26	48	74	0	0	108	79	53	4	166	749	829	808	30	57	16	18	50	5	1	20.00%	8	0	100.00%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
7	CHICAGO Wolves	2	2	0	0	0	0	0	0	14	7	7	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	7	3	4	4	1.000	14	23	37	0	0	108	79	53	4	70	749	829	808	30	78	28	28	48	6	3	50.00%	13	2	84.62%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
8	COLORADO Eagles	3	0	3	0	0	0	0	0	3	12	-9	1	0	1	0	0	0	0	0	0	3	-3	2	0	2	0	0	0	0	0	3	9	-6	0	0.000	3	5	8	0	0	108	79	53	4	83	749	829	808	30	102	25	30	68	12	1	8.33%	14	5	64.29%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
9	GRAND RAPIDS Griffins	3	0	3	0	0	0	0	0	3	7	-4	2	0	2	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	6	9	0	0	108	79	53	4	72	749	829	808	30	88	31	35	67	8	0	0.00%	15	2	86.67%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
10	HERSEY Bears	4	1	3	0	0	0	0	0	10	12	-2	2	1	1	0	0	0	0	0	8	7	1	2	0	2	0	0	0	0	0	2	5	-3	2	0.250	10	19	29	0	0	108	79	53	4	135	749	829	808	30	129	39	62	59	11	1	9.09%	19	3	84.21%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
11	IOWA Wild	5	3	0	0	1	0	1	0	16	7	9	3	2	0	0	1	0	0	0	9	3	6	2	1	0	0	0	0	1	0	7	4	3	10	1.000	16	29	45	0	1	108	79	53	4	224	749	829	808	30	84	19	28	71	8	2	25.00%	13	3	76.92%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
12	LAVAL Rocket	2	0	1	0	0	0	0	1	8	11	-3	1	0	0	0	0	0	0	1	6	7	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0.250	8	15	23	0	0	108	79	53	4	58	749	829	808	30	83	23	14	34	7	3	42.86%	7	2	71.43%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
13	LEHIGH VALLEY Phantoms	5	2	3	0	0	0	0	0	10	12	-2	3	1	2	0	0	0	0	0	6	8	-2	2	1	1	0	0	0	0	0	4	4	0	4	0.400	10	18	28	0	0	108	79	53	4	141	749	829	808	30	149	31	38	87	13	1	7.69%	17	4	76.47%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
14	MANITOBA Moose	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	4	0	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	1	108	79	53	4	53	749	829	808	30	22	13	10	17	0	0	0.00%	4	0	100.00%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
15	MILWAUKEE Admirals	1	1	0	0	0	0	0	0	4	0	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	0	4	2	1.000	4	8	12	0	1	108	79	53	4	28	749	829	808	30	31	9	12	9	2	0	0.00%	6	0	100.00%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
16	ONTARIO Reign	3	0	3	0	0	0	0	0	8	13	-5	0	0	0	0	0	0	0	0	0	0	0	3	0	3	0	0	0	0	0	8	13	-5	0	0.000	8	16	24	1	0	108	79	53	4	104	749	829	808	30	101	23	30	49	9	2	22.22%	15	4	73.33%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
17	PROVIDENCE Bruins	2	1	0	0	1	0	0	0	7	4	3	1	0	0	0	1	0	0	0	2	1	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	7	10	17	0	0	108	79	53	4	49	749	829	808	30	49	13	18	45	3	2	66.67%	8	1	87.50%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
18	ROCKFORD IceHogs	3	3	0	0	0	0	0	0	24	8	16	1	1	0	0	0	0	0	0	7	3	4	2	2	0	0	0	0	0	0	17	5	12	6	1.000	24	46	70	0	0	108	79	53	4	129	749	829	808	30	79	23	26	45	2	2	100.00%	12	4	66.67%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
19	SAN ANTONIO Rampage	2	1	1	0	0	0	0	0	10	7	3	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	7	3	4	2	0.500	10	15	25	0	0	108	79	53	4	56	749	829	808	30	61	22	22	41	6	1	16.67%	10	4	60.00%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
20	SCRANTON Penguins	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	108	79	53	4	34	749	829	808	30	32	11	8	23	7	1	14.29%	3	1	66.67%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
21	STOCKTON Flames	4	2	1	0	1	0	0	0	13	12	1	1	0	0	0	1	0	0	0	3	2	1	3	2	1	0	0	0	0	0	10	10	0	6	0.750	13	24	37	0	0	108	79	53	4	140	749	829	808	30	142	44	36	72	8	1	12.50%	18	6	66.67%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
22	TORONTO Marlies	1	1	0	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	3	4	2	1.000	7	12	19	0	0	108	79	53	4	77	749	829	808	30	21	5	6	16	4	0	0.00%	3	0	100.00%	1	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
23	TUSCON Roadrunners	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	4	8	12	1	0	108	79	53	4	66	749	829	808	30	50	17	14	30	9	2	22.22%	5	1	80.00%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
24	UTICA Comets	2	1	1	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	1	2	2	0.500	5	9	14	0	0	108	79	53	4	68	749	829	808	30	51	18	16	38	8	1	12.50%	6	0	100.00%	0	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
	Total	63	34	22	0	3	2	1	1	244	157	87	31	15	10	0	3	2	0	1	113	73	40	32	19	12	0	0	0	1	0	131	84	47	79	0.627	244	441	685	2	7	108	79	53	4	2409	749	829	808	30	1695	488	567	1126	150	31	20.67%	251	48	80.88%	4	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
	_Since Last GM Reset	63	34	22	0	3	2	1	1	244	157	87	31	15	10	0	3	2	0	1	113	73	40	32	19	12	0	0	0	1	0	131	84	47	79	0.627	244	441	685	2	7	108	79	53	4	2409	749	829	808	30	1695	488	567	1126	150	31	20.67%	251	48	80.88%	4	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
	_Vs Conference	36	22	11	0	2	0	1	0	150	79	71	18	11	5	0	2	0	0	0	74	33	41	18	11	6	0	0	0	1	0	76	46	30	50	0.694	150	270	420	1	5	108	79	53	4	1493	749	829	808	30	906	252	289	667	81	17	20.99%	134	25	81.34%	2	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
	_Vs Division	12	14	7	0	2	0	1	0	60	33	27	6	6	2	0	2	0	0	0	29	15	14	6	8	5	0	0	0	1	0	31	18	13	34	1.417	60	104	164	0	0	108	79	53	4	480	749	829	808	30	315	88	93	229	30	7	23.33%	42	5	88.10%	1	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394

			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
63	79	L1	244	441	685	2409	1695	488	567	1126	2	7

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
63	34	22	3	2	1	1	244	157

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	15	10	3	2	0	1	113	73

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	19	12	0	0	1	0	131	84

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	4	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
150	31	20.67%	251	48	80.88%	4

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
749	829	808	30	108	79	53	4

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
1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%

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
1692	1239	1347	412	761	394

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	RI	Lien
1 - 2021-01-17	8	SYRACUSE Crunch	4	STOCKTON Flames	3	W				Sommaire du Match
3 - 2021-01-19	21	CHICAGO Wolves	4	SYRACUSE Crunch	7	W			R3	Sommaire du Match
4 - 2021-01-20	37	SYRACUSE Crunch	2	ONTARIO Reign	4	L				Sommaire du Match
5 - 2021-01-21	43	BROOKLYN Wolfpack	3	SYRACUSE Crunch	2	L	X			Sommaire du Match
7 - 2021-01-23	58	IOWA Wild	0	SYRACUSE Crunch	1	W	X			Sommaire du Match
8 - 2021-01-24	72	SYRACUSE Crunch	4	IOWA Wild	3	W	X	X		Sommaire du Match
9 - 2021-01-25	82	SYRACUSE Crunch	2	BAKERSFIELD Condors	0	W				Sommaire du Match
11 - 2021-01-27	97	LEHIGH VALLEY Phantoms	1	SYRACUSE Crunch	3	W				Sommaire du Match
13 - 2021-01-29	109	SYRACUSE Crunch	4	STOCKTON Flames	1	W				Sommaire du Match
14 - 2021-01-30	122	SYRACUSE Crunch	7	CAROLINA Checkers	1	W				Sommaire du Match
15 - 2021-01-31	126	HERSEY Bears	3	SYRACUSE Crunch	2	L				Sommaire du Match
17 - 2021-02-02	147	IOWA Wild	1	SYRACUSE Crunch	3	W				Sommaire du Match
18 - 2021-02-03	155	SYRACUSE Crunch	8	ROCKFORD IceHogs	2	W				Sommaire du Match
20 - 2021-02-05	172	GRAND RAPIDS Griffins	2	SYRACUSE Crunch	1	L				Sommaire du Match
21 - 2021-02-06	189	BAKERSFIELD Condors	0	SYRACUSE Crunch	4	W				Sommaire du Match
23 - 2021-02-08	200	SYRACUSE Crunch	1	HERSEY Bears	2	L				Sommaire du Match
24 - 2021-02-09	213	SYRACUSE Crunch	2	TUSCON Roadrunners	4	L				Sommaire du Match
25 - 2021-02-10	222	COLORADO Eagles	3	SYRACUSE Crunch	0	L				Sommaire du Match
27 - 2021-02-12	233	SYRACUSE Crunch	2	GRAND RAPIDS Griffins	4	L				Sommaire du Match
28 - 2021-02-13	246	SYRACUSE Crunch	8	CAROLINA Checkers	3	W				Sommaire du Match
29 - 2021-02-14	258	PROVIDENCE Bruins	1	SYRACUSE Crunch	2	W	X			Sommaire du Match
31 - 2021-02-16	275	IOWA Wild	2	SYRACUSE Crunch	5	W				Sommaire du Match
32 - 2021-02-17	290	SYRACUSE Crunch	3	BROOKLYN Wolfpack	1	W				Sommaire du Match
34 - 2021-02-19	301	ROCKFORD IceHogs	3	SYRACUSE Crunch	7	W				Sommaire du Match
35 - 2021-02-20	311	SYRACUSE Crunch	7	SAN ANTONIO Rampage	3	W				Sommaire du Match
37 - 2021-02-22	327	SYRACUSE Crunch	3	IOWA Wild	1	W				Sommaire du Match
38 - 2021-02-23	336	LEHIGH VALLEY Phantoms	4	SYRACUSE Crunch	2	L				Sommaire du Match
40 - 2021-02-25	355	CAROLINA Checkers	2	SYRACUSE Crunch	11	W				Sommaire du Match
41 - 2021-02-26	367	SYRACUSE Crunch	4	MILWAUKEE Admirals	0	W				Sommaire du Match
42 - 2021-02-27	377	BROOKLYN Wolfpack	1	SYRACUSE Crunch	3	W				Sommaire du Match
44 - 2021-03-01	393	SYRACUSE Crunch	2	STOCKTON Flames	6	L				Sommaire du Match
46 - 2021-03-03	408	LEHIGH VALLEY Phantoms	3	SYRACUSE Crunch	1	L				Sommaire du Match
47 - 2021-03-04	422	SCRANTON Penguins	4	SYRACUSE Crunch	1	L				Sommaire du Match
48 - 2021-03-05	433	SYRACUSE Crunch	1	COLORADO Eagles	3	L				Sommaire du Match
50 - 2021-03-07	444	SYRACUSE Crunch	2	LEHIGH VALLEY Phantoms	1	W				Sommaire du Match
51 - 2021-03-08	458	BRIDGEPORT Sound Tigers	4	SYRACUSE Crunch	3	L	X			Sommaire du Match
53 - 2021-03-10	473	BINGHAMTON Devils	1	SYRACUSE Crunch	2	W				Sommaire du Match
54 - 2021-03-11	487	SYRACUSE Crunch	9	BAKERSFIELD Condors	2	W				Sommaire du Match
55 - 2021-03-12	496	SYRACUSE Crunch	7	TORONTO Marlies	3	W				Sommaire du Match
56 - 2021-03-13	507	GRAND RAPIDS Griffins	1	SYRACUSE Crunch	0	L				Sommaire du Match
58 - 2021-03-15	526	BAKERSFIELD Condors	1	SYRACUSE Crunch	12	W				Sommaire du Match
60 - 2021-03-17	537	SYRACUSE Crunch	4	BINGHAMTON Devils	2	W				Sommaire du Match
61 - 2021-03-18	547	SYRACUSE Crunch	2	COLORADO Eagles	6	L				Sommaire du Match
62 - 2021-03-19	563	BROOKLYN Wolfpack	0	SYRACUSE Crunch	1	W				Sommaire du Match
63 - 2021-03-20	568	SYRACUSE Crunch	1	HERSEY Bears	3	L				Sommaire du Match
65 - 2021-03-22	585	SYRACUSE Crunch	2	LEHIGH VALLEY Phantoms	3	L				Sommaire du Match
66 - 2021-03-23	597	LAVAL Rocket	7	SYRACUSE Crunch	6	L	X	X		Sommaire du Match
67 - 2021-03-24	611	SYRACUSE Crunch	9	ROCKFORD IceHogs	3	W				Sommaire du Match
69 - 2021-03-26	622	BELLEVILLE Senators	2	SYRACUSE Crunch	9	W				Sommaire du Match
70 - 2021-03-27	638	TUSCON Roadrunners	4	SYRACUSE Crunch	2	L				Sommaire du Match
73 - 2021-03-30	655	MANITOBA Moose	0	SYRACUSE Crunch	4	W				Sommaire du Match
74 - 2021-03-31	668	SYRACUSE Crunch	1	ONTARIO Reign	2	L				Sommaire du Match
75 - 2021-04-01	672	SYRACUSE Crunch	8	BAKERSFIELD Condors	0	W				Sommaire du Match
77 - 2021-04-03	695	UTICA Comets	3	SYRACUSE Crunch	2	L				Sommaire du Match
78 - 2021-04-04	696	SYRACUSE Crunch	5	PROVIDENCE Bruins	3	W				Sommaire du Match
80 - 2021-04-06	720	BINGHAMTON Devils	3	SYRACUSE Crunch	5	W				Sommaire du Match
81 - 2021-04-07	733	SAN ANTONIO Rampage	4	SYRACUSE Crunch	3	L				Sommaire du Match
84 - 2021-04-10	749	SYRACUSE Crunch	2	LAVAL Rocket	4	L				Sommaire du Match
85 - 2021-04-11	758	SYRACUSE Crunch	7	CHICAGO Wolves	3	W			R3	Sommaire du Match
86 - 2021-04-12	771	STOCKTON Flames	2	SYRACUSE Crunch	3	W	X			Sommaire du Match
88 - 2021-04-14	788	HERSEY Bears	4	SYRACUSE Crunch	6	W				Sommaire du Match
89 - 2021-04-15	800	SYRACUSE Crunch	3	UTICA Comets	1	W				Sommaire du Match
90 - 2021-04-16	807	SYRACUSE Crunch	5	ONTARIO Reign	7	L				Sommaire du Match
92 - 2021-04-18	822	MILWAUKEE Admirals	-	SYRACUSE Crunch	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19	828	SYRACUSE Crunch	-	SCRANTON Penguins	-
95 - 2021-04-21	849	TORONTO Marlies	-	SYRACUSE Crunch	-
96 - 2021-04-22	859	SYRACUSE Crunch	-	CHICAGO Wolves	-
97 - 2021-04-23	875	SYRACUSE Crunch	-	BRIDGEPORT Sound Tigers	-
98 - 2021-04-24	877	SYRACUSE Crunch	-	SAN DIEGO Gulls	-
99 - 2021-04-25	888	STOCKTON Flames	-	SYRACUSE Crunch	-
101 - 2021-04-27	907	SAN DIEGO Gulls	-	SYRACUSE Crunch	-
103 - 2021-04-29	925	MANITOBA Moose	-	SYRACUSE Crunch	-
105 - 2021-05-01	945	CHICAGO Wolves	-	SYRACUSE Crunch	-
108 - 2021-05-04	967	CHICAGO Wolves	-	SYRACUSE Crunch	-
110 - 2021-05-06	980	SYRACUSE Crunch	-	BELLEVILLE Senators	-
111 - 2021-05-07	993	ONTARIO Reign	-	SYRACUSE Crunch	-
112 - 2021-05-08	1006	SYRACUSE Crunch	-	BELLEVILLE Senators	-
113 - 2021-05-09	1015	ONTARIO Reign	-	SYRACUSE Crunch	-
114 - 2021-05-10	1019	SYRACUSE Crunch	-	MANITOBA Moose	-
115 - 2021-05-11	1027	SYRACUSE Crunch	-	SCRANTON Penguins	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
9	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,189,642$	1,465,000$	1,465,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	1,189,642$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	28	12,415$	347,620$

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Saison Régulière
34	80	25	38	0	5	4	4	4	214	224	-10	40	13	21	0	1	1	3	1	110	106	4	40	12	17	0	4	3	1	3	104	118	-14	76	214	372	586	2	6	79	79	47	10	2407	825	751	796	66	2636	797	565	1498	253	47	18.58%	238	43	81.93%	2	900	2459	36.60%	957	2719	35.20%	408	1192	34.23%	1880	1339	2020	548	961	470
34	80	25	38	0	5	4	4	4	214	224	-10	40	13	21	0	1	1	3	1	110	106	4	40	12	17	0	4	3	1	3	104	118	-14	76	214	372	586	2	6	79	79	47	10	2407	825	751	796	66	2636	797	565	1498	253	47	18.58%	238	43	81.93%	2	900	2459	36.60%	957	2719	35.20%	408	1192	34.23%	1880	1339	2020	548	961	470
36	63	34	22	0	3	2	1	1	244	157	87	31	15	10	0	3	2	0	1	113	73	40	32	19	12	0	0	0	1	0	131	84	47	79	244	441	685	2	7	108	79	53	4	2409	749	829	808	30	1695	488	567	1126	150	31	20.67%	251	48	80.88%	4	1377	2164	63.63%	1124	1945	57.79%	621	985	63.05%	1692	1239	1347	412	761	394
Total Saison Régulière	223	84	98	0	13	10	9	9	672	605	67	111	41	52	0	5	4	6	3	333	285	48	112	43	46	0	8	6	3	6	339	320	19	231	672	1185	1857	6	19	266	237	147	24	7223	2399	2331	2400	162	6967	2082	1697	4122	656	125	19.05%	727	134	81.57%	8	3177	7082	44.86%	3038	7383	41.15%	1437	3369	42.65%	5453	3917	5387	1509	2683	1335

	SYRACUSE Crunch
	GP: 63 \| W: 38 \| L: 22 \| OTL: 3 \| P: 79 GF: 244 \| GA: 157 \| PP%: 20.67% \| PK%: 80.88% DG: Alex Blais \| Morale : 99 \| Moyenne d'Équipe : 66 Prochain matchs #822 vs MILWAUKEE Admirals