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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Filip Chytil	0	X				100.00	60	35	75	68	82	82	88	67	68	67	66	60	67	53	51	84	88	69	0
2	Robert Thomas (R)	0	X				100.00	57	35	75	71	72	81	83	70	71	74	65	61	68	53	51	84	88	69	0
3	Tobias Rieder	0		X	X		100.00	67	35	75	65	70	80	80	64	54	67	60	69	62	65	55	57	88	68	0
4	Joel Eriksson Ek (R)	0	X				100.00	75	35	72	64	79	78	80	63	76	63	63	68	63	56	52	82	88	68	0
5	Zach Sanford	0		X			100.00	64	41	73	66	88	77	80	65	69	66	63	63	64	54	51	65	85	68	0
6	Denis Malgin	0	X				100.00	65	35	75	68	65	80	63	67	68	67	66	65	67	56	52	62	88	66	0
7	Lias Andersson	0	X				100.00	63	41	69	66	75	64	91	66	70	60	59	59	61	52	51	87	88	65	0
8	Jakob Forsbacka Karlsson	0	X				100.00	56	35	75	68	74	64	64	68	70	63	61	58	64	51	50	73	88	63	0
9	Alexander Nylander	0		X	X		100.00	51	35	71	69	76	56	56	69	54	63	63	54	64	51	50	87	88	61	0
10	Curtis McKenzie	0		X			100.00	56	89	47	70	81	50	50	70	50	63	63	57	63	54	51	41	88	61	0
11	Janne Kuokkanen	0	X				100.00	51	35	70	68	76	54	53	68	50	62	62	53	62	50	50	74	99	60	0
12	Victor Ejdsell	0	X				100.00	64	89	67	68	92	50	50	68	50	58	58	50	58	50	50	43	94	60	0
13	Gustav Forsling	0				X	100.00	64	35	75	63	72	77	61	63	30	60	60	70	67	55	51	58	88	64	0
14	Oliver Kylington	0				X	100.00	55	35	75	67	71	65	69	67	30	61	59	59	68	52	50	68	88	62	0
15	Niklas Hansson (R)	0				X	100.00	50	89	65	64	73	49	50	64	30	54	54	50	54	50	50	43	93	56	0
16	Tyler Wotherspoon	0				X	100.00	57	89	66	64	82	49	50	64	30	47	42	50	52	51	50	66	67	55	0
17	Trevor Murphy	0				X	100.00	50	89	56	68	66	50	50	68	30	50	45	51	55	50	50	43	71	54	0
Rayé
1	Carter Camper	0	X				100.00	50	89	67	70	65	50	50	70	70	62	62	50	62	50	50	34	83	58	0
2	Max Gortz (R)	0			X		100.00	49	35	79	68	77	47	43	57	30	54	50	51	53	60	50	71	83	56	0
3	Grayson Downing	0	X		X		100.00	50	89	69	56	73	47	50	56	70	52	52	50	52	50	50	37	41	54	0

	MOYENNE D'ÉQUIPE					100.00	58	55	70	67	75	63	63	66	54	61	59	57	61	53	51	63	84	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	Spencer Martin	100.00	75	62	97	85	74	74	75	74	74	74	69	50	63	66	85	66	0
2	Nick Ellis	100.00	65	62	77	73	67	74	68	66	66	66	63	50	58	43	86	60	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	70	62	87	79	71	74	72	70	70	70	66	50	61	55	86	63

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Willie Desjardins	75	76	76	79	81	81	48	CAN	63	2	150,000$

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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	HT	P/20	PSG	PSS	FL	S1	S2	S3
1	Tobias Rieder	STOCKTON Flames (CGY)	LW/RW	58	32	50	82	80	36	0	81	92	350	93	252	9.14%	22	1500	25.87	2	4	6	29	133	0	0	0	4	67	5	1	63.72%	113	2	1.09	0	5	0	5	6	7
2	Filip Chytil	STOCKTON Flames (CGY)	C	58	27	51	78	63	8	0	41	109	268	85	194	10.07%	15	1124	19.39	3	4	7	35	144	1	0	1	9	126	6	2	65.82%	1346	0	1.39	2	5	0	3	6	3
3	Robert Thomas	STOCKTON Flames (CGY)	C	58	38	39	77	62	22	0	62	133	348	85	242	10.92%	10	1343	23.16	4	4	8	34	131	0	0	0	2	80	7	1	66.48%	1462	2	1.15	1	5	0	6	5	6
4	Denis Malgin	STOCKTON Flames (CGY)	C	58	30	33	63	53	8	0	32	74	267	64	194	11.24%	16	902	15.57	2	4	6	4	50	0	0	0	3	55	5	1	66.87%	483	3	1.40	0	1	0	8	3	1
5	Zach Sanford	STOCKTON Flames (CGY)	LW	57	23	36	59	61	14	0	61	39	226	71	183	10.18%	5	886	15.56	2	0	2	13	41	0	1	1	5	33	0	0	62.20%	82	0	1.33	1	1	0	2	3	4
6	Curtis McKenzie	STOCKTON Flames (CGY)	LW	58	25	32	57	52	36	0	109	44	238	65	143	10.50%	11	1173	20.23	2	2	4	22	109	0	0	0	1	63	3	1	53.52%	71	1	0.97	0	0	0	2	3	6
7	Joel Eriksson Ek	STOCKTON Flames (CGY)	C	58	21	33	54	39	26	0	65	71	196	72	139	10.71%	9	716	12.36	0	0	0	1	7	0	0	0	2	20	1	0	71.02%	628	1	1.51	1	3	0	2	3	3
8	Gustav Forsling	STOCKTON Flames (CGY)	D	58	14	39	53	69	30	0	73	52	137	39	93	10.22%	55	1408	24.28	1	3	4	35	142	1	1	2	2	101	2	0	0.00%	0	0	0.75	0	1	0	1	1	3
9	Oliver Kylington	STOCKTON Flames (CGY)	D	58	6	43	49	55	14	0	72	34	87	26	65	6.90%	56	1207	20.82	2	6	8	33	131	0	2	2	1	102	1	0	0.00%	0	0	0.81	0	1	0	2	2	2
10	Alexander Nylander	STOCKTON Flames (CGY)	LW/RW	58	19	27	46	59	12	0	29	49	207	60	144	9.18%	9	1190	20.53	1	2	3	6	121	0	0	0	0	20	2	1	56.96%	79	0	0.77	0	0	0	1	2	2
11	Lias Andersson	STOCKTON Flames (CGY)	C	58	22	16	38	37	10	0	28	20	143	46	104	15.38%	4	612	10.55	0	1	1	3	26	0	0	0	0	13	2	0	73.53%	34	2	1.24	0	0	0	0	3	2
12	Jakob Forsbacka Karlsson	STOCKTON Flames (CGY)	C	58	11	8	19	22	0	0	8	13	66	14	29	16.67%	4	227	3.92	0	0	0	2	8	0	0	0	0	5	2	0	70.00%	10	1	1.67	0	0	0	0	1	0
13	Trevor Murphy	STOCKTON Flames (CGY)	D	16	0	5	5	25	12	0	29	2	9	5	11	0.00%	11	280	17.53	0	0	0	2	8	0	0	0	0	12	0	0	0.00%	0	0	0.36	0	0	0	0	0	0
14	Victor Ejdsell	STOCKTON Flames (CGY)	C	7	1	4	5	5	7	5	1	4	13	3	16	7.69%	0	97	13.94	0	0	0	0	0	0	0	0	0	0	1	0	37.50%	8	0	1.02	0	0	1	0	0	0
15	Tyler Wotherspoon	STOCKTON Flames (CGY)	D	16	0	3	3	20	21	5	31	1	6	1	5	0.00%	5	294	18.38	0	0	0	1	34	0	0	0	0	26	0	0	0.00%	0	0	0.20	0	0	0	0	0	0
16	Niklas Hansson	STOCKTON Flames (CGY)	D	4	0	1	1	7	0	0	4	0	1	2	2	0.00%	5	88	22.20	0	0	0	0	9	0	0	0	0	3	0	0	0.00%	0	0	0.23	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				738	269	420	689	709	256	10	726	737	2562	731	1816	10.50%	237	13055	17.69	19	30	49	220	1101	2	4	6	29	735	37	7	66.45%	4316	12	1.06	5	22	1	32	38	39

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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	A	PS %	PSA	ST	BG	S1	S2	S3
1	Nick Ellis	STOCKTON Flames (CGY)	42	31	7	4	0.915	1.62	2518	9	68	796	2	0.783	23	42	16	3	1	1
2	Spencer Martin	STOCKTON Flames (CGY)	16	13	2	1	0.936	1.06	960	7	17	267	0	0.000	0	16	20	1	2	0
Stats d'équipe Total ou en Moyenne			58	44	9	5	0.920	1.47	3478	16	85	1063	2	0.783	23	58	36	4	3	1

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	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	Salaire Année 6	Link
Alexander Nylander	STOCKTON Flames (CGY)	LW/RW	21	1998-03-02	No	87 Kg	185 CM	No	No	No	5	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Carter Camper	STOCKTON Flames (CGY)	C	31	1988-07-06	No	80 Kg	175 CM	No	No	No	5	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Curtis McKenzie	STOCKTON Flames (CGY)	LW	28	1991-02-22	No	93 Kg	188 CM	No	No	No	5	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Denis Malgin	STOCKTON Flames (CGY)	C	22	1997-01-18	No	80 Kg	175 CM	No	No	No	5	Pro & Farm	1,200,000$	367,567$	1,200,000$	367,567$	0$	0$	No	1,200,000$	1,200,000$	1,200,000$	1,200,000$		Lien
Filip Chytil	STOCKTON Flames (CGY)	C	19	1999-09-05	No	95 Kg	188 CM	No	No	No	1	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No						Lien
Grayson Downing	STOCKTON Flames (CGY)	C/RW	27	1992-04-18	No	89 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No						Lien
Gustav Forsling	STOCKTON Flames (CGY)	D	23	1996-06-12	No	85 Kg	183 CM	No	No	No	5	Pro & Farm	1,500,000$	459,459$	1,500,000$	459,459$	0$	0$	No	1,500,000$	1,500,000$	1,500,000$	1,500,000$		Lien
Jakob Forsbacka Karlsson	STOCKTON Flames (CGY)	C	22	1996-10-31	No	84 Kg	185 CM	No	No	No	5	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Janne Kuokkanen	STOCKTON Flames (CGY)	C	21	1998-05-25	No	88 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No						Lien
Joel Eriksson Ek	STOCKTON Flames (CGY)	C	22	1997-01-29	Yes	95 Kg	185 CM	No	No	No	2	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No	750,000$					Lien
Lias Andersson	STOCKTON Flames (CGY)	C	20	1998-10-13	No	86 Kg	185 CM	No	No	No	5	Pro & Farm	900,000$	275,675$	900,000$	275,675$	0$	0$	No	900,000$	900,000$	900,000$	900,000$		Lien
Max Gortz	STOCKTON Flames (CGY)	RW	26	1993-01-28	Yes	95 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No	750,000$	750,000$
Nick Ellis	STOCKTON Flames (CGY)	G	25	1994-01-18	No	82 Kg	185 CM	No	No	No	5	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Niklas Hansson	STOCKTON Flames (CGY)	D	24	1995-01-08	Yes	82 Kg	185 CM	No	No	No	4	Pro & Farm	800,000$	245,045$	500,000$	153,153$	0$	0$	No	800,000$	800,000$	800,000$
Oliver Kylington	STOCKTON Flames (CGY)	D	22	1997-05-19	No	83 Kg	183 CM	No	No	No	5	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Robert Thomas	STOCKTON Flames (CGY)	C	20	1999-07-02	Yes	85 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No	750,000$					Lien
Spencer Martin	STOCKTON Flames (CGY)	G	24	1995-06-08	No	95 Kg	191 CM	No	No	No	6	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	Lien
Tobias Rieder	STOCKTON Flames (CGY)	LW/RW	26	1993-01-10	No	85 Kg	180 CM	No	No	No	3	Pro & Farm	900,000$	275,675$	900,000$	275,675$	0$	0$	No	900,000$	900,000$				Lien
Trevor Murphy	STOCKTON Flames (CGY)	D	24	1995-07-17	No	82 Kg	178 CM	No	No	No	5	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Tyler Wotherspoon	STOCKTON Flames (CGY)	D	26	1993-03-12	No	94 Kg	188 CM	No	No	No	6	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	Lien
Victor Ejdsell	STOCKTON Flames (CGY)	C	24	1995-06-06	No	97 Kg	196 CM	No	No	No	1	Pro & Farm	750,000$	229,729$	750,000$	229,729$	0$	0$	No						Lien
Zach Sanford	STOCKTON Flames (CGY)	LW	24	1994-11-09	No	94 Kg	193 CM	No	No	No	5	Pro & Farm	1,000,000$	306,306$	1,000,000$	306,306$	0$	0$	No	1,000,000$	1,000,000$	1,000,000$	1,000,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	23.68	88 Kg	185 CM	3.86	831,818$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Zach Sanford	Filip Chytil	Tobias Rieder	31	1	2	2
2	Curtis McKenzie	Robert Thomas	Alexander Nylander	26	1	2	2
3	Zach Sanford	Joel Eriksson Ek	Lias Andersson	23	1	2	2
4	Zach Sanford	Denis Malgin	Lias Andersson	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Gustav Forsling	Oliver Kylington	31	1	2	2
2	Niklas Hansson	Tyler Wotherspoon	26	1	2	2
3	Trevor Murphy	Gustav Forsling	23	1	2	2
4	Oliver Kylington	Niklas Hansson	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Zach Sanford	Filip Chytil	Tobias Rieder	55	1	2	2
2	Curtis McKenzie	Robert Thomas	Alexander Nylander	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Gustav Forsling	Oliver Kylington	55	1	2	2
2	Niklas Hansson	Tyler Wotherspoon	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Filip Chytil	Zach Sanford	55	1	2	2
2	Robert Thomas	Curtis McKenzie	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Gustav Forsling	Oliver Kylington	55	1	2	2
2	Niklas Hansson	Tyler Wotherspoon	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Filip Chytil	55	1	2	2	Gustav Forsling	Oliver Kylington	55	1	2	2
2	Robert Thomas	45	1	2	2	Niklas Hansson	Tyler Wotherspoon	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Filip Chytil	Zach Sanford	55	1	2	2
2	Robert Thomas	Curtis McKenzie	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Gustav Forsling	Oliver Kylington	55	1	2	2
2	Niklas Hansson	Tyler Wotherspoon	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Zach Sanford	Filip Chytil	Tobias Rieder	Gustav Forsling	Oliver Kylington

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Zach Sanford	Filip Chytil	Tobias Rieder	Gustav Forsling	Oliver Kylington

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Joel Eriksson Ek, Denis Malgin, Lias Andersson	Joel Eriksson Ek, Denis Malgin	Joel Eriksson Ek

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Niklas Hansson, Tyler Wotherspoon, Trevor Murphy	Niklas Hansson	Niklas Hansson, Tyler Wotherspoon

Tirs de Pénalité
Filip Chytil, Robert Thomas, Tobias Rieder, Zach Sanford, Joel Eriksson Ek

Gardien
#1 : Spencer Martin, #2 : Nick Ellis

Lignes d'Attaque Perso. en Prol.
Filip Chytil, Robert Thomas, Tobias Rieder, Zach Sanford, Joel Eriksson Ek, Denis Malgin, Denis Malgin, Lias Andersson, Jakob Forsbacka Karlsson, Alexander Nylander, Curtis McKenzie

Lignes de Défense Perso. en Prol.
Gustav Forsling, Oliver Kylington, Niklas Hansson, Tyler Wotherspoon, Trevor Murphy

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	BELLEVILLE Senators	5	5	0	0	0	0	0	0	29	1	28	3	3	0	0	0	0	0	0	17	0	17	2	2	0	0	0	0	0	0	12	1	11	10	1.000	29	49	78	0	4	131	76	71	8	445	922	911	957	54	23	7	6	94	0	0	0.00%	3	0	100.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
2	BRIDGEPORT Sound Tigers	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	13	20	0	1	131	76	71	8	64	922	911	957	54	40	11	10	26	8	2	25.00%	5	0	100.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
3	Binghampton Devils	4	4	0	0	0	0	0	0	27	5	22	2	2	0	0	0	0	0	0	9	4	5	2	2	0	0	0	0	0	0	18	1	17	8	1.000	27	50	77	0	1	131	76	71	8	254	922	911	957	54	71	15	18	58	17	2	11.76%	9	0	100.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
4	CHICAGO Wolves	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	131	76	71	8	26	922	911	957	54	26	7	2	16	1	0	0.00%	0	0	0.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
5	COLORADO Eagles	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	6	10	0	1	131	76	71	8	28	922	911	957	54	17	8	23	18	9	0	0.00%	7	0	100.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
6	CORNWALL Aces	3	3	0	0	0	0	0	0	36	1	35	0	0	0	0	0	0	0	0	0	0	0	3	3	0	0	0	0	0	0	36	1	35	6	1.000	36	66	102	0	2	131	76	71	8	283	922	911	957	54	11	2	0	37	3	2	66.67%	0	0	0.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
7	HERSEY Bears	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	7	1	6	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	13	20	0	0	131	76	71	8	34	922	911	957	54	21	9	12	13	1	1	100.00%	6	0	100.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
8	HOLLYWOOD Oscar	4	4	0	0	0	0	0	0	45	1	44	2	2	0	0	0	0	0	0	24	0	24	2	2	0	0	0	0	0	0	21	1	20	8	1.000	45	85	130	0	3	131	76	71	8	337	922	911	957	54	19	8	8	60	1	0	0.00%	4	0	100.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
9	IOWA Wild	3	1	1	0	1	0	0	0	7	4	3	1	0	1	0	0	0	0	0	1	2	-1	2	1	0	0	1	0	0	0	6	2	4	4	0.667	7	13	20	0	0	131	76	71	8	105	922	911	957	54	70	24	16	51	20	4	20.00%	8	2	75.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
10	LAVAL Rockets	2	1	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	0	2	-2	1	1	0	0	0	0	0	0	3	2	1	2	0.500	3	6	9	0	0	131	76	71	8	54	922	911	957	54	49	15	6	19	7	0	0.00%	2	0	100.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
11	LEHIGH VALLEY Phantoms	2	2	0	0	0	0	0	0	8	3	5	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	8	3	5	4	1.000	8	14	22	0	0	131	76	71	8	77	922	911	957	54	37	11	12	35	4	0	0.00%	6	0	100.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
12	MILWAUKEE Admirals	2	0	2	0	0	0	0	0	1	10	-9	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	1	10	-9	0	0.000	1	2	3	0	0	131	76	71	8	36	922	911	957	54	78	26	14	33	2	0	0.00%	6	1	83.33%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
13	MONT-LAURIER Sommet	2	0	2	0	0	0	0	0	2	8	-6	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	2	8	-6	0	0.000	2	4	6	0	0	131	76	71	8	44	922	911	957	54	53	16	16	36	2	0	0.00%	8	2	75.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
14	Manitoba Moose	2	0	0	0	0	0	0	2	5	7	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	0	1	3	4	-1	2	0.500	5	9	14	0	0	131	76	71	8	69	922	911	957	54	52	9	12	34	9	2	22.22%	6	1	83.33%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
15	Marlies de Toronto	1	1	0	0	0	0	0	0	11	0	11	1	1	0	0	0	0	0	0	11	0	11	0	0	0	0	0	0	0	0	0	0	0	2	1.000	11	21	32	0	1	131	76	71	8	61	922	911	957	54	6	2	2	20	0	0	0.00%	1	0	100.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
16	PROVIDENCE Bruins	2	1	0	0	0	0	1	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	0	1	0	3	2	1	4	1.000	7	9	16	0	0	131	76	71	8	69	922	911	957	54	51	17	18	40	15	2	13.33%	7	1	85.71%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
17	PV Sharapovas	4	2	0	0	1	0	0	1	13	7	6	3	1	0	0	1	0	0	1	8	6	2	1	1	0	0	0	0	0	0	5	1	4	7	0.875	13	22	35	0	0	131	76	71	8	117	922	911	957	54	102	24	25	54	20	3	15.00%	9	2	77.78%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
18	ROCKFORD IceHogs	2	0	1	0	0	1	0	0	4	6	-2	1	0	1	0	0	0	0	0	3	4	-1	1	0	0	0	0	1	0	0	1	2	-1	1	0.250	4	7	11	0	0	131	76	71	8	48	922	911	957	54	42	15	31	25	8	0	0.00%	8	1	87.50%	1	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
19	SAN DIEGO Gulls	2	2	0	0	0	0	0	0	12	0	12	1	1	0	0	0	0	0	0	6	0	6	1	1	0	0	0	0	0	0	6	0	6	4	1.000	12	23	35	0	2	131	76	71	8	181	922	911	957	54	4	0	4	11	0	0	0.00%	2	0	100.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
20	Syracruse Crunch	4	2	1	0	0	0	1	0	13	8	5	2	2	0	0	0	0	0	0	9	3	6	2	0	1	0	0	0	1	0	4	5	-1	6	0.750	13	21	34	0	0	131	76	71	8	107	922	911	957	54	112	33	14	58	12	2	16.67%	6	1	83.33%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
21	TUSCON Roadrunners	1	0	1	0	0	0	0	0	0	1	-1	1	0	1	0	0	0	0	0	0	1	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	131	76	71	8	25	922	911	957	54	22	7	0	9	3	0	0.00%	0	0	0.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
	Total	58	38	9	0	4	2	2	3	284	88	196	28	19	4	0	2	1	0	2	128	35	93	30	19	5	0	2	1	2	1	156	53	103	93	0.802	284	513	797	0	16	131	76	71	8	2821	922	911	957	54	1084	323	311	872	163	23	14.11%	129	13	89.92%	2	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
23	UTICA Comets	2	2	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	5	10	15	0	0	131	76	71	8	60	922	911	957	54	59	15	10	26	7	0	0.00%	2	0	100.00%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
24	VICTORIAVILLE Tigres	2	1	0	0	1	0	0	0	13	5	8	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	1	0	0	0	13	5	8	4	1.000	13	25	38	0	0	131	76	71	8	85	922	911	957	54	54	19	24	38	3	1	33.33%	11	2	81.82%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
25	WILKIES-BARRIE Penguins	4	2	0	0	1	1	0	0	21	4	17	3	1	0	0	1	1	0	0	13	3	10	1	1	0	0	0	0	0	0	8	1	7	7	0.875	21	38	59	0	1	131	76	71	8	212	922	911	957	54	65	23	28	61	11	2	18.18%	13	0	100.00%	1	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
	_Since Last GM Reset	58	38	9	0	4	2	2	3	284	88	196	28	19	4	0	2	1	0	2	128	35	93	30	19	5	0	2	1	2	1	156	53	103	93	0.802	284	513	797	0	16	131	76	71	8	2821	922	911	957	54	1084	323	311	872	163	23	14.11%	129	13	89.92%	2	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
	_Vs Conference	39	26	4	0	4	1	1	3	219	54	165	17	11	1	0	2	1	0	2	83	21	62	22	15	3	0	2	0	1	1	136	33	103	66	0.846	219	396	615	0	11	131	76	71	8	2135	922	911	957	54	669	191	179	616	102	18	17.65%	83	10	87.95%	1	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
	_Vs Division	21	10	4	0	2	0	1	0	112	25	87	11	4	1	0	0	0	0	0	49	13	36	10	6	3	0	2	0	1	0	63	12	51	26	0.619	112	194	306	0	7	131	76	71	8	1136	922	911	957	54	354	100	71	322	57	9	15.79%	28	4	85.71%	0	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361

			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
58	93	W1	284	513	797	2821	1084	323	311	872	0	16

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
58	38	9	4	2	2	3	284	88

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	19	4	2	1	0	2	128	35

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	19	5	2	1	2	1	156	53

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
7	2	0	1	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
163	23	14.11%	129	13	89.92%	2

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
922	911	957	54	131	76	71	8

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
1525	2115	72.10%	773	1308	59.10%	595	880	67.61%

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
1936	1548	947	305	629	361

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 - 2020-01-15	7	STOCKTON Flames	1	MONT-LAURIER Sommet	3	L				Sommaire du Match
2 - 2020-01-16	22	PV Sharapovas	2	STOCKTON Flames	4	W				Sommaire du Match
3 - 2020-01-17	35	STOCKTON Flames	4	VICTORIAVILLE Tigres	3	W	X		R3	Sommaire du Match
4 - 2020-01-18	40	WILKIES-BARRIE Penguins	1	STOCKTON Flames	11	W				Sommaire du Match
5 - 2020-01-19	64	STOCKTON Flames	3	LAVAL Rockets	2	W				Sommaire du Match
7 - 2020-01-21	69	STOCKTON Flames	2	Syracruse Crunch	1	W	X	X		Sommaire du Match
9 - 2020-01-23	80	STOCKTON Flames	5	PV Sharapovas	1	W				Sommaire du Match
11 - 2020-01-25	92	BELLEVILLE Senators	0	STOCKTON Flames	8	W				Sommaire du Match
13 - 2020-01-27	107	PV Sharapovas	3	STOCKTON Flames	2	L	X	X		Sommaire du Match
15 - 2020-01-29	126	STOCKTON Flames	0	MILWAUKEE Admirals	5	L				Sommaire du Match
17 - 2020-01-31	131	IOWA Wild	2	STOCKTON Flames	1	L				Sommaire du Match
19 - 2020-02-02	151	Manitoba Moose	3	STOCKTON Flames	2	L	X	X		Sommaire du Match
21 - 2020-02-04	163	STOCKTON Flames	13	CORNWALL Aces	0	W				Sommaire du Match
22 - 2020-02-05	172	HOLLYWOOD Oscar	0	STOCKTON Flames	12	W				Sommaire du Match
23 - 2020-02-06	186	STOCKTON Flames	6	BELLEVILLE Senators	1	W				Sommaire du Match
24 - 2020-02-07	198	PV Sharapovas	1	STOCKTON Flames	2	W	X			Sommaire du Match
26 - 2020-02-09	209	STOCKTON Flames	1	MONT-LAURIER Sommet	5	L				Sommaire du Match
27 - 2020-02-10	226	UTICA Comets	1	STOCKTON Flames	2	W				Sommaire du Match
28 - 2020-02-11	241	HERSEY Bears	1	STOCKTON Flames	7	W				Sommaire du Match
29 - 2020-02-12	252	STOCKTON Flames	3	PROVIDENCE Bruins	2	W	X	X		Sommaire du Match
31 - 2020-02-14	267	Syracruse Crunch	2	STOCKTON Flames	6	W				Sommaire du Match
32 - 2020-02-15	277	STOCKTON Flames	3	UTICA Comets	2	W				Sommaire du Match
33 - 2020-02-16	291	STOCKTON Flames	3	BRIDGEPORT Sound Tigers	2	W				Sommaire du Match
34 - 2020-02-17	303	CHICAGO Wolves	3	STOCKTON Flames	4	W				Sommaire du Match
36 - 2020-02-19	316	STOCKTON Flames	6	SAN DIEGO Gulls	0	W				Sommaire du Match
37 - 2020-02-20	324	STOCKTON Flames	9	VICTORIAVILLE Tigres	2	W			R3	Sommaire du Match
38 - 2020-02-21	333	Syracruse Crunch	1	STOCKTON Flames	3	W				Sommaire du Match
39 - 2020-02-22	353	STOCKTON Flames	8	HOLLYWOOD Oscar	1	W				Sommaire du Match
40 - 2020-02-23	363	LAVAL Rockets	2	STOCKTON Flames	0	L				Sommaire du Match
42 - 2020-02-25	373	STOCKTON Flames	6	BELLEVILLE Senators	0	W				Sommaire du Match
43 - 2020-02-26	387	PROVIDENCE Bruins	2	STOCKTON Flames	4	W				Sommaire du Match
44 - 2020-02-27	403	Binghampton Devils	3	STOCKTON Flames	4	W				Sommaire du Match
45 - 2020-02-28	419	STOCKTON Flames	13	HOLLYWOOD Oscar	0	W				Sommaire du Match
46 - 2020-02-29	432	HOLLYWOOD Oscar	0	STOCKTON Flames	12	W				Sommaire du Match
47 - 2020-03-01	440	STOCKTON Flames	1	MILWAUKEE Admirals	5	L				Sommaire du Match
49 - 2020-03-03	456	STOCKTON Flames	1	ROCKFORD IceHogs	2	L	X			Sommaire du Match
50 - 2020-03-04	468	TUSCON Roadrunners	1	STOCKTON Flames	0	L				Sommaire du Match
52 - 2020-03-06	476	STOCKTON Flames	2	IOWA Wild	1	W	X			Sommaire du Match
53 - 2020-03-07	492	BELLEVILLE Senators	0	STOCKTON Flames	4	W				Sommaire du Match
55 - 2020-03-09	509	Binghampton Devils	1	STOCKTON Flames	5	W				Sommaire du Match
56 - 2020-03-10	522	STOCKTON Flames	3	Manitoba Moose	4	L	X	X		Sommaire du Match
57 - 2020-03-11	529	STOCKTON Flames	13	CORNWALL Aces	0	W				Sommaire du Match
59 - 2020-03-13	545	BRIDGEPORT Sound Tigers	0	STOCKTON Flames	4	W				Sommaire du Match
60 - 2020-03-14	557	STOCKTON Flames	8	WILKIES-BARRIE Penguins	1	W				Sommaire du Match
61 - 2020-03-15	567	STOCKTON Flames	5	Binghampton Devils	1	W				Sommaire du Match
62 - 2020-03-16	575	BELLEVILLE Senators	0	STOCKTON Flames	5	W				Sommaire du Match
63 - 2020-03-17	596	Marlies de Toronto	0	STOCKTON Flames	11	W				Sommaire du Match
64 - 2020-03-18	609	STOCKTON Flames	4	LEHIGH VALLEY Phantoms	2	W				Sommaire du Match
65 - 2020-03-19	620	COLORADO Eagles	0	STOCKTON Flames	4	W				Sommaire du Match
67 - 2020-03-21	635	STOCKTON Flames	4	LEHIGH VALLEY Phantoms	1	W				Sommaire du Match
68 - 2020-03-22	641	STOCKTON Flames	4	IOWA Wild	1	W				Sommaire du Match
69 - 2020-03-23	655	ROCKFORD IceHogs	4	STOCKTON Flames	3	L				Sommaire du Match
70 - 2020-03-24	672	STOCKTON Flames	13	Binghampton Devils	0	W				Sommaire du Match
71 - 2020-03-25	678	WILKIES-BARRIE Penguins	2	STOCKTON Flames	1	L	X			Sommaire du Match
73 - 2020-03-27	698	SAN DIEGO Gulls	0	STOCKTON Flames	6	W				Sommaire du Match
74 - 2020-03-28	714	WILKIES-BARRIE Penguins	0	STOCKTON Flames	1	W	X			Sommaire du Match
75 - 2020-03-29	726	STOCKTON Flames	2	Syracruse Crunch	4	L				Sommaire du Match
76 - 2020-03-30	737	STOCKTON Flames	10	CORNWALL Aces	1	W				Sommaire du Match
78 - 2020-04-01	752	MONT-LAURIER Sommet	-	STOCKTON Flames	-
79 - 2020-04-02	765	STOCKTON Flames	-	WILKIES-BARRIE Penguins	-
80 - 2020-04-03	779	VICTORIAVILLE Tigres	-	STOCKTON Flames	-
81 - 2020-04-04	792	STOCKTON Flames	-	CHICAGO Wolves	-
82 - 2020-04-05	805	STOCKTON Flames	-	TUSCON Roadrunners	-
83 - 2020-04-06	807	BROOKLYN Wolfpack	-	STOCKTON Flames	-
85 - 2020-04-08	830	LEHIGH VALLEY Phantoms	-	STOCKTON Flames	-
86 - 2020-04-09	847	Manitoba Moose	-	STOCKTON Flames	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11	861	STOCKTON Flames	-	HERSEY Bears	-
89 - 2020-04-12	870	STOCKTON Flames	-	PV Sharapovas	-
90 - 2020-04-13	883	MONT-LAURIER Sommet	-	STOCKTON Flames	-
91 - 2020-04-14	900	VICTORIAVILLE Tigres	-	STOCKTON Flames	-
93 - 2020-04-16	914	STOCKTON Flames	-	MONT-LAURIER Sommet	-
94 - 2020-04-17	930	MILWAUKEE Admirals	-	STOCKTON Flames	-
95 - 2020-04-18	940	STOCKTON Flames	-	Marlies de Toronto	-
96 - 2020-04-19	953	STOCKTON Flames	-	Manitoba Moose	-
97 - 2020-04-20	960	LEHIGH VALLEY Phantoms	-	STOCKTON Flames	-
98 - 2020-04-21	972	STOCKTON Flames	-	PV Sharapovas	-
99 - 2020-04-22	986	IOWA Wild	-	STOCKTON Flames	-
101 - 2020-04-24	1001	PV Sharapovas	-	STOCKTON Flames	-
105 - 2020-04-28	1028	CORNWALL Aces	-	STOCKTON Flames	-
106 - 2020-04-29	1042	CORNWALL Aces	-	STOCKTON Flames	-
108 - 2020-05-01	1048	STOCKTON Flames	-	COLORADO Eagles	-
109 - 2020-05-02	1059	STOCKTON Flames	-	BROOKLYN Wolfpack	-

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	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 de l'Aréna	Popularité de l'Équipe
13	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
1,386,480$	1,830,000$	1,800,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	1,282,431$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	34	17,838$	606,492$

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
33	58	38	9	0	4	2	2	3	284	88	196	28	19	4	0	2	1	0	2	128	35	93	30	19	5	0	2	1	2	1	156	53	103	93	284	513	797	0	16	131	76	71	8	2821	922	911	957	54	1084	323	311	872	163	23	14.11%	129	13	89.92%	2	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
Total Saison Régulière	58	38	9	0	4	2	2	3	284	88	196	28	19	4	0	2	1	0	2	128	35	93	30	19	5	0	2	1	2	1	156	53	103	93	284	513	797	0	16	131	76	71	8	2821	922	911	957	54	1084	323	311	872	163	23	14.11%	129	13	89.92%	2	1525	2115	72.10%	773	1308	59.10%	595	880	67.61%	1936	1548	947	305	629	361
Séries
32	12	6	6	0	0	0	0	0	29	29	0	6	3	3	0	0	0	0	0	13	10	3	6	3	3	0	0	0	0	0	16	19	-3	12	29	52	81	0	2	12	9	8	0	404	133	135	127	9	326	70	66	196	39	6	15.38%	30	5	83.33%	0	265	466	56.87%	199	358	55.59%	100	181	55.25%	319	232	257	80	147	75
Total Séries	12	6	6	0	0	0	0	0	29	29	0	6	3	3	0	0	0	0	0	13	10	3	6	3	3	0	0	0	0	0	16	19	-3	12	29	52	81	0	2	12	9	8	0	404	133	135	127	9	326	70	66	196	39	6	15.38%	30	5	83.33%	0	265	466	56.87%	199	358	55.59%	100	181	55.25%	319	232	257	80	147	75