Ligue de hockey Simulée Ste-Flanelle

Edmonton
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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 Moyen
1	Christian Fischer			X		100.00	87	45	90	80	79	60	81	60	31	56	60	65	25	63	63	0	50	62	0	22	1	818,000$
2	Scott Wilson		X			100.00	75	66	86	73	66	59	58	62	45	57	58	68	58	58	59	0	50	60	0	27	3	800,000$
3	Adam Johnson	X	X			100.00	72	64	91	62	64	77	81	63	79	64	58	63	55	45	45	0	50	60	0	25	2	925,000$
4	Vladislav Kamenev	X	X	X		100.00	73	46	89	80	72	53	56	62	56	62	56	66	25	51	51	0	50	60	0	23	2	900,000$
5	Nikita Jevpalovs		X	X		100.00	80	77	86	65	77	73	78	57	50	53	56	65	53	44	44	0	50	59	0	25	1	825,000$
6	Rem Pitlick (R)	X	X			100.00	74	70	82	65	70	66	68	60	75	53	62	63	59	44	44	0	50	58	0	22	2	700,000$
7	Ryan Haggerty			X		100.00	76	73	82	63	73	71	76	53	50	48	56	65	53	44	44	0	50	57	0	26	1	825,000$
8	Sean Malone	X				100.00	74	69	88	64	70	64	64	56	70	54	54	63	55	44	44	0	50	57	0	24	1	925,000$
9	Kole Sherwood			X		100.00	72	74	66	65	74	66	70	53	50	43	59	60	56	44	44	0	50	55	0	22	2	693,333$
10	Connor Clifton				X	100.00	90	50	86	64	64	66	70	56	25	39	46	72	45	48	49	0	50	60	0	24	3	750,000$
11	Joel Persson (R)				X	100.00	65	41	94	76	63	67	66	62	25	51	47	61	25	45	45	0	50	59	0	25	4	500,001$
12	Jordan Gross				X	100.00	75	68	91	66	68	72	77	56	25	46	52	63	49	44	44	0	50	59	0	24	2	825,000$
13	Ashton Sautner				X	100.00	76	69	82	64	72	64	67	51	25	40	40	65	37	56	56	0	50	58	0	25	4	1,000,000$
14	Parker Wotherspoon				X	100.00	67	64	69	63	62	74	83	50	25	46	40	59	39	44	44	0	50	56	0	22	1	650,000$
15	William Borgen				X	100.00	69	70	66	61	70	76	84	46	25	37	39	57	37	44	44	0	50	56	0	22	2	650,000$
Rayé
1	Ryan Kuffner		X			100.00	79	71	97	60	71	58	59	54	50	47	56	64	53	44	44	0	50	55	0	23	3	925,000$
2	Ty Lewis		X			100.00	75	67	94	58	67	54	56	47	50	44	44	60	42	44	44	0	50	51	0	21	2	716,666$
3	Victor Ejdsell	X	X			100.00	47	35	93	58	75	47	31	33	35	34	32	54	46	35	32	0	50	43	0	24	2	742,500$
4	Brad Morrison (R)	X				100.00	34	40	40	40	50	33	33	34	40	34	34	40	37	32	30	0	50	36	0	22	1	650,000$
5	Libor Sulak (R)				X	100.00	51	35	72	61	68	53	33	30	35	29	31	77	47	35	32	0	50	51	0	25	3	833,750$
6	Garret Cockerill (R)				X	100.00	41	45	45	45	66	39	39	41	45	41	41	45	43	32	30	0	50	42	0	25	2	825,000$

	MOYENNE D'ÉQUIPE					100.00	69	59	80	63	69	62	63	52	43	47	49	62	45	45	44	0	50	55

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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	Marcus Hogberg	100.00	64	71	71	87	70	60	58	65	64	66	75	46	46	0	50	64	0
2	Jonas Johansson	100.00	61	60	72	84	63	65	62	66	64	61	30	44	44	0	50	62	0
Rayé
1	Adam Huska	100.00	49	51	64	88	48	49	50	54	49	49	30	44	44	0	50	53	0
2	Ukko-Pekka Luukkonen (R)	100.00	48	62	78	82	43	48	50	54	46	47	30	44	44	0	50	53	0
3	Stephen Michalek (R)	100.00	33	37	35	73	33	32	32	32	32	32	31	32	30	0	50	37	0

	MOYENNE D'ÉQUIPE	100.00	51	56	64	83	51	51	50	54	51	51	39	42	42	0	50	54

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Doug Weight	57	80	91	99	66	70	77	USA	48	1	500,000$

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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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Michael Chaput	Edmonton	C/LW	81	56	54	110	29	35	15	144	307	450	130	281	12.44%	41	1837	22.69	8	14	22	76	210	0	2	2	8	231	7	1	58.74%	2816	1	4	1.20	3	4	0	2	1	9	8	3
2	Christian Fischer	Oil Kings (Edm)	RW	81	32	54	86	27	46	0	174	171	413	95	272	7.75%	24	1782	22.01	6	10	16	71	208	1	1	2	8	204	2	2	37.13%	167	0	0	0.96	1	4	0	0	0	5	4	4
3	Vladislav Kamenev	Oil Kings (Edm)	C/LW/RW	82	36	46	82	29	20	0	81	223	327	94	246	11.01%	25	1595	19.45	10	5	15	36	197	0	1	1	1	118	2	3	51.24%	1169	0	2	1.03	1	2	0	0	0	4	2	6
4	Par Lindholm	Edmonton	C/LW	69	41	39	80	15	8	0	36	230	354	109	233	11.58%	37	1238	17.95	4	6	10	45	102	0	0	0	2	68	6	2	57.34%	1519	0	1	1.29	0	0	0	0	0	4	5	3
5	Adam Johnson	Oil Kings (Edm)	C/LW	82	21	57	78	20	26	0	90	140	307	101	252	6.84%	14	1503	18.34	4	11	15	56	206	0	0	0	1	28	5	0	59.67%	181	0	0	1.04	2	2	0	0	0	2	4	4
6	Nikita Jevpalovs	Oil Kings (Edm)	LW/RW	78	31	37	68	24	105	25	178	89	283	79	203	10.95%	21	1377	17.65	7	7	14	52	191	0	0	0	0	1	3	4	50.56%	89	0	0	0.99	0	0	2	1	2	2	5	3
7	Brendan Lemieux	Edmonton	LW/RW	53	24	34	58	12	84	10	246	134	228	59	159	10.53%	22	1216	22.96	1	7	8	30	135	1	1	2	2	147	3	1	36.82%	440	1	1	0.95	1	5	1	0	1	8	6	4
8	Joel Persson	Oil Kings (Edm)	D	82	7	45	52	11	14	0	77	93	156	47	81	4.49%	114	1793	21.87	2	10	12	72	203	1	0	1	3	188	1	0	0.00%	0	1	0	0.58	0	0	0	0	0	2	1	2
9	Kole Sherwood	Oil Kings (Edm)	RW	82	19	26	45	-10	47	5	177	73	205	59	131	9.27%	50	1041	12.70	0	0	0	0	3	0	0	0	2	2	2	0	52.38%	42	0	1	0.86	0	1	0	0	1	1	5	1
10	Connor Clifton	Oil Kings (Edm)	D	77	11	32	43	22	76	0	256	72	125	48	103	8.80%	120	1780	23.12	2	9	11	34	193	1	3	4	2	169	4	0	0.00%	0	0	0	0.48	0	0	0	0	0	3	1	4
11	Ryan Haggerty	Oil Kings (Edm)	RW	82	17	26	43	5	36	0	123	135	275	65	198	6.18%	28	1118	13.64	0	0	0	7	12	0	0	0	0	6	1	2	48.62%	109	0	0	0.77	1	1	0	0	0	2	1	1
12	Scott Wilson	Oil Kings (Edm)	LW	51	8	33	41	-2	12	0	51	102	191	57	161	4.19%	23	957	18.77	1	6	7	19	93	1	0	1	1	63	1	0	49.55%	111	0	0	0.86	3	3	0	0	0	0	0	4
13	Jordan Gross	Oil Kings (Edm)	D	52	8	32	40	7	40	0	103	38	100	27	49	8.00%	85	1040	20.00	4	5	9	23	71	0	0	0	4	102	0	1	0.00%	0	0	0	0.77	0	0	0	0	0	1	3	3
14	Parker Wotherspoon	Oil Kings (Edm)	D	82	6	27	33	24	72	0	208	62	77	30	55	7.79%	127	1488	18.15	1	3	4	16	101	0	0	0	0	108	1	1	0.00%	0	0	0	0.44	0	0	0	0	0	2	0	4
15	Tucker Poolman	Edmonton	D	39	2	28	30	0	18	0	43	53	73	27	66	2.74%	58	929	23.84	1	6	7	35	98	0	0	0	4	96	0	0	0.00%	0	0	0	0.65	0	0	0	0	0	0	0	4
16	Ashton Sautner	Oil Kings (Edm)	D	51	2	13	15	6	40	0	121	32	36	19	47	5.56%	76	1073	21.05	2	1	3	11	120	0	1	1	1	114	2	0	0.00%	0	0	0	0.28	0	0	0	0	0	0	0	3
17	Victor Ejdsell	Oil Kings (Edm)	C/LW	75	9	5	14	-18	0	0	4	42	60	17	36	15.00%	16	637	8.50	0	0	0	0	4	0	0	0	0	8	2	1	36.16%	531	0	0	0.44	0	0	0	0	0	0	0	1
18	Sean Malone	Oil Kings (Edm)	C	2	0	2	2	1	0	0	4	4	5	2	6	0.00%	0	32	16.14	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	14	0	0	1.24	0	0	0	0	0	0	0	0
19	Rem Pitlick	Oil Kings (Edm)	C/LW	2	0	1	1	0	0	0	4	4	2	1	4	0.00%	0	31	15.85	0	0	0	0	0	0	0	0	0	0	0	0	54.55%	22	0	0	0.63	0	0	0	0	0	0	0	0
20	William Borgen	Oil Kings (Edm)	D	2	1	0	1	3	2	0	2	0	1	0	1	100.00%	1	33	16.56	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.60	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1205	331	591	922	205	681	55	2122	2004	3668	1066	2584	9.02%	882	22508	18.68	53	100	153	583	2153	5	9	14	39	1661	42	18	53.29%	7210	3	9	0.82	12	22	3	3	5	45	45	54

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Marcus Hogberg	Oil Kings (Edm)	56	31	21	3	0.907	3.31	3261	8	180	1943	2	0.667	6	56	0	2	5	1
2	Ukko-Pekka Luukkonen	Oil Kings (Edm)	25	11	8	2	0.903	3.62	1310	0	79	816	1	0.583	12	21	62	0	0	0
Stats d'équipe Total ou en Moyenne			81	42	29	5	0.906	3.40	4572	8	259	2759	3	0.611	18	77	62	2	5	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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Adam Huska	Oil Kings (Edm)	G	22	1997-05-12	No	220 Lbs	6 ft4	No	No	No	2	Pro & Farm	525,000$	52,500$	0$	No	525,000$			Lien
Adam Johnson	Oil Kings (Edm)	C/LW	25	1994-06-22	No	174 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	92,500$	0$	No	925,000$			Lien
Ashton Sautner	Oil Kings (Edm)	D	25	1994-05-27	No	195 Lbs	6 ft1	No	No	No	4	Pro & Farm	1,000,000$	100,000$	0$	No	1,000,000$	1,000,000$	1,000,000$	Lien
Brad Morrison	Oil Kings (Edm)	C	22	1997-01-04	Yes	170 Lbs	6 ft0	No	No	No	1	Pro & Farm	650,000$	65,000$	0$	No				Lien
Christian Fischer	Oil Kings (Edm)	RW	22	1997-04-15	No	215 Lbs	6 ft2	No	No	No	1	Pro & Farm	818,000$	81,800$	0$	No				Lien
Connor Clifton	Oil Kings (Edm)	D	24	1995-04-28	No	175 Lbs	5 ft11	No	No	No	3	Pro & Farm	750,000$	75,000$	0$	No	750,000$	750,000$		Lien
Garret Cockerill	Oil Kings (Edm)	D	25	1994-02-19	Yes	203 Lbs	6 ft0	No	No	No	2	Pro & Farm	825,000$	82,500$	0$	No	825,000$			Lien
Joel Persson	Oil Kings (Edm)	D	25	1994-03-04	Yes	170 Lbs	5 ft11	No	No	No	4	Pro & Farm	500,001$	50,000$	0$	No	500,001$	500,001$	500,001$	Lien
Jonas Johansson	Oil Kings (Edm)	G	24	1995-09-18	No	206 Lbs	6 ft4	No	No	No	2	Pro & Farm	800,000$	80,000$	0$	No	800,000$			Lien
Jordan Gross	Oil Kings (Edm)	D	24	1995-05-09	No	190 Lbs	5 ft10	No	No	No	2	Pro & Farm	825,000$	82,500$	0$	No	825,000$			Lien
Kole Sherwood	Oil Kings (Edm)	RW	22	1997-01-22	No	201 Lbs	6 ft1	No	No	No	2	Pro & Farm	693,333$	69,333$	0$	No	693,333$			Lien
Libor Sulak	Oil Kings (Edm)	D	25	1994-03-04	Yes	207 Lbs	6 ft2	No	No	No	3	Pro & Farm	833,750$	83,375$	0$	No	833,750$	833,750$		Lien
Marcus Hogberg	Oil Kings (Edm)	G	24	1994-11-24	No	209 Lbs	6 ft5	No	No	No	3	Pro & Farm	825,000$	82,500$	0$	No	825,000$	825,000$		Lien
Nikita Jevpalovs	Oil Kings (Edm)	LW/RW	25	1994-09-08	No	210 Lbs	6 ft1	No	No	No	1	Pro & Farm	825,000$	82,500$	0$	No				Lien
Parker Wotherspoon	Oil Kings (Edm)	D	22	1997-08-24	No	168 Lbs	6 ft0	No	No	No	1	Pro & Farm	650,000$	65,000$	0$	No				Lien
Rem Pitlick	Oil Kings (Edm)	C/LW	22	1997-04-01	Yes	196 Lbs	5 ft11	No	No	No	2	Pro & Farm	700,000$	70,000$	0$	No	700,000$			Lien
Ryan Haggerty	Oil Kings (Edm)	RW	26	1993-03-04	No	201 Lbs	6 ft0	No	No	No	1	Pro & Farm	825,000$	82,500$	0$	No				Lien
Ryan Kuffner	Oil Kings (Edm)	LW	23	1996-06-11	No	194 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	92,500$	0$	No	925,000$	925,000$		Lien
Scott Wilson	Oil Kings (Edm)	LW	27	1992-04-24	No	183 Lbs	5 ft11	No	No	No	3	Pro & Farm	800,000$	80,000$	0$	No	800,000$	800,000$		Lien
Sean Malone	Oil Kings (Edm)	C	24	1995-04-30	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	92,500$	0$	No				Lien
Stephen Michalek	Oil Kings (Edm)	G	26	1993-08-06	Yes	196 Lbs	6 ft2	No	No	No	1	Pro & Farm	525,000$	52,500$	0$	No				Lien
Ty Lewis	Oil Kings (Edm)	LW	21	1998-03-05	No	187 Lbs	5 ft11	No	No	No	2	Pro & Farm	716,666$	71,667$	0$	No	716,666$			Lien
Ukko-Pekka Luukkonen	Oil Kings (Edm)	G	20	1999-03-09	Yes	196 Lbs	6 ft4	No	No	No	3	Pro & Farm	778,333$	77,833$	0$	No	778,333$	778,333$		Lien
Victor Ejdsell	Oil Kings (Edm)	C/LW	24	1995-06-06	No	214 Lbs	6 ft5	No	No	No	2	Pro & Farm	742,500$	74,250$	0$	No	742,500$			Lien
Vladislav Kamenev	Oil Kings (Edm)	C/LW/RW	23	1996-08-12	No	194 Lbs	6 ft2	No	No	No	2	Pro & Farm	900,000$	90,000$	0$	No	900,000$			Lien
William Borgen	Oil Kings (Edm)	D	22	1996-12-19	No	187 Lbs	6 ft2	No	No	No	2	Pro & Farm	650,000$	65,000$	0$	No	650,000$			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	23.62	194 Lbs	6 ft1	2.12	766,638$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Vladislav Kamenev			40	1	2	2
2	Scott Wilson	Adam Johnson	Nikita Jevpalovs	30	1	2	2
3	Sean Malone	Rem Pitlick	Ryan Haggerty	20	1	2	2
4		Sean Malone	Kole Sherwood	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Connor Clifton	Jordan Gross	40	1	2	2
2	Joel Persson	Ashton Sautner	30	1	2	2
3	William Borgen	Parker Wotherspoon	20	1	2	2
4	Connor Clifton	Jordan Gross	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Vladislav Kamenev			60	1	2	2
2	Scott Wilson	Adam Johnson	Nikita Jevpalovs	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Connor Clifton	Jordan Gross	60	1	2	2
2	Joel Persson	Ashton Sautner	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2	Vladislav Kamenev	Adam Johnson	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Connor Clifton	Jordan Gross	60	1	2	2
2	Joel Persson	Ashton Sautner	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2	Connor Clifton	Jordan Gross	60	1	2	2
2		40	1	2	2	Joel Persson	Ashton Sautner	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2	Vladislav Kamenev	Adam Johnson	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Connor Clifton	Jordan Gross	60	1	2	2
2	Joel Persson	Ashton Sautner	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Vladislav Kamenev			Connor Clifton	Jordan Gross

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Vladislav Kamenev			Connor Clifton	Jordan Gross

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Rem Pitlick, Ryan Haggerty, Kole Sherwood	Rem Pitlick, Ryan Haggerty	Kole Sherwood

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
William Borgen, Parker Wotherspoon, Joel Persson	William Borgen	Parker Wotherspoon, Joel Persson

Tirs de Pénalité
, , Vladislav Kamenev, Adam Johnson, Scott Wilson

Gardien
#1 : Marcus Hogberg, #2 : Jonas Johansson

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	Admirals	4	2	2	0	0	0	0	0	16	17	-1	2	1	1	0	0	0	0	0	6	8	-2	2	1	1	0	0	0	0	0	10	9	1	4	0.500	16	26	42	0	0	112	110	96	12	162	1165	1186	1202	44	157	33	19	104	11	1	9.09%	6	1	83.33%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
2	Baby Hawks	3	0	3	0	0	0	0	0	9	13	-4	1	0	1	0	0	0	0	0	3	5	-2	2	0	2	0	0	0	0	0	6	8	-2	0	0.000	9	18	27	0	0	112	110	96	12	105	1165	1186	1202	44	145	34	28	84	11	2	18.18%	14	2	85.71%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
3	Bears	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	112	110	96	12	75	1165	1186	1202	44	74	17	25	45	9	0	0.00%	10	2	80.00%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
4	Bruins	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	7	10	17	0	0	112	110	96	12	95	1165	1186	1202	44	68	15	25	48	8	3	37.50%	9	4	55.56%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
5	Cabaret Lady Mary Ann	2	2	0	0	0	0	0	0	13	8	5	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	7	4	3	4	1.000	13	24	37	0	0	112	110	96	12	137	1165	1186	1202	44	71	20	8	56	2	0	0.00%	4	0	100.00%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
6	Caroline	2	1	0	0	0	1	0	0	10	7	3	1	1	0	0	0	0	0	0	6	2	4	1	0	0	0	0	1	0	0	4	5	-1	3	0.750	10	19	29	0	0	112	110	96	12	87	1165	1186	1202	44	91	29	20	40	6	3	50.00%	9	3	66.67%	1	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
7	Chiefs	3	1	1	0	0	0	1	0	13	10	3	2	0	1	0	0	0	1	0	9	9	0	1	1	0	0	0	0	0	0	4	1	3	4	0.667	13	22	35	0	0	112	110	96	12	111	1165	1186	1202	44	93	36	23	67	13	3	23.08%	8	1	87.50%	1	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
8	Chill	3	1	2	0	0	0	0	0	13	13	0	2	1	1	0	0	0	0	0	10	9	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	13	22	35	0	0	112	110	96	12	152	1165	1186	1202	44	121	37	20	60	8	2	25.00%	9	2	77.78%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
9	Comets	4	1	1	0	0	0	2	0	17	13	4	2	1	0	0	0	0	1	0	10	6	4	2	0	1	0	0	0	1	0	7	7	0	6	0.750	17	27	44	0	0	112	110	96	12	139	1165	1186	1202	44	134	53	28	87	11	3	27.27%	13	1	92.31%	1	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
10	Cougars	2	0	2	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	2	3	5	0	0	112	110	96	12	50	1165	1186	1202	44	58	25	12	66	5	0	0.00%	6	2	66.67%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
11	Crunch	2	0	1	0	0	1	0	0	4	7	-3	1	0	1	0	0	0	0	0	0	2	-2	1	0	0	0	0	1	0	0	4	5	-1	1	0.250	4	7	11	0	0	112	110	96	12	104	1165	1186	1202	44	78	29	18	44	7	1	14.29%	8	1	87.50%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
12	Heat	5	5	0	0	0	0	0	0	32	11	21	2	2	0	0	0	0	0	0	15	4	11	3	3	0	0	0	0	0	0	17	7	10	10	1.000	32	59	91	0	0	112	110	96	12	270	1165	1186	1202	44	148	40	56	102	16	4	25.00%	13	2	84.62%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
13	Jayhawks	4	3	0	0	1	0	0	0	17	11	6	2	2	0	0	0	0	0	0	8	5	3	2	1	0	0	1	0	0	0	9	6	3	8	1.000	17	34	51	0	0	112	110	96	12	167	1165	1186	1202	44	144	36	26	102	10	3	30.00%	11	2	81.82%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
14	Las Vegas	4	2	2	0	0	0	0	0	14	12	2	2	1	1	0	0	0	0	0	7	6	1	2	1	1	0	0	0	0	0	7	6	1	4	0.500	14	26	40	1	0	112	110	96	12	173	1165	1186	1202	44	133	44	24	92	15	1	6.67%	12	3	75.00%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
15	Manchots	2	0	1	0	0	1	0	0	8	11	-3	1	0	0	0	0	1	0	0	4	5	-1	1	0	1	0	0	0	0	0	4	6	-2	1	0.250	8	13	21	0	0	112	110	96	12	70	1165	1186	1202	44	71	19	8	49	5	1	20.00%	3	2	33.33%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
16	Marlies	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	7	11	18	0	0	112	110	96	12	66	1165	1186	1202	44	66	17	19	33	8	1	12.50%	7	1	85.71%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
17	Minnesota	3	3	0	0	0	0	0	0	19	12	7	1	1	0	0	0	0	0	0	6	3	3	2	2	0	0	0	0	0	0	13	9	4	6	1.000	19	37	56	0	0	112	110	96	12	200	1165	1186	1202	44	118	31	21	92	5	0	0.00%	7	5	28.57%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
18	Monarchs	4	2	1	0	0	0	1	0	17	12	5	2	1	0	0	0	0	1	0	10	4	6	2	1	1	0	0	0	0	0	7	8	-1	6	0.750	17	30	47	0	0	112	110	96	12	205	1165	1186	1202	44	169	38	33	92	13	2	15.38%	11	3	72.73%	1	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
19	Monsters	2	0	2	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	2	2	4	0	0	112	110	96	12	75	1165	1186	1202	44	82	33	12	26	6	1	16.67%	6	2	66.67%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
20	Monsters	3	1	2	0	0	0	0	0	12	12	0	2	0	2	0	0	0	0	0	7	10	-3	1	1	0	0	0	0	0	0	5	2	3	2	0.333	12	22	34	0	0	112	110	96	12	115	1165	1186	1202	44	104	33	15	71	8	3	37.50%	5	1	80.00%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
21	Oceanics	3	0	3	0	0	0	0	0	8	15	-7	2	0	2	0	0	0	0	0	7	10	-3	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	8	13	21	0	0	112	110	96	12	125	1165	1186	1202	44	143	43	31	77	8	0	0.00%	13	3	76.92%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
22	Phantoms	2	1	0	0	0	1	0	0	7	6	1	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	1	0	0	3	4	-1	3	0.750	7	14	21	0	0	112	110	96	12	73	1165	1186	1202	44	93	28	22	58	8	4	50.00%	9	1	88.89%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
23	Rocket	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	12	19	0	0	112	110	96	12	85	1165	1186	1202	44	76	15	6	48	6	1	16.67%	3	0	100.00%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
24	Senators	2	1	1	0	0	0	0	0	7	7	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	5	4	1	2	0.500	7	14	21	0	0	112	110	96	12	80	1165	1186	1202	44	81	23	18	57	8	2	25.00%	9	4	55.56%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
25	Sharks	4	2	1	0	0	1	0	0	10	12	-2	2	1	1	0	0	0	0	0	4	6	-2	2	1	0	0	0	1	0	0	6	6	0	5	0.625	10	19	29	0	0	112	110	96	12	162	1165	1186	1202	44	121	41	24	75	12	1	8.33%	11	3	72.73%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
26	Sound Tigers	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	9	15	24	0	0	112	110	96	12	92	1165	1186	1202	44	63	13	16	39	3	1	33.33%	8	0	100.00%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
27	Spiders	2	1	1	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	7	3	4	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	9	15	24	0	0	112	110	96	12	74	1165	1186	1202	44	70	24	12	58	2	1	50.00%	6	1	83.33%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
28	Stars	3	1	2	0	0	0	0	0	10	12	-2	1	0	1	0	0	0	0	0	3	5	-2	2	1	1	0	0	0	0	0	7	7	0	2	0.333	10	19	29	2	0	112	110	96	12	131	1165	1186	1202	44	113	29	24	60	8	0	0.00%	11	2	81.82%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
29	Thunder	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	4	3	1	4	1.000	9	15	24	0	0	112	110	96	12	101	1165	1186	1202	44	62	20	10	60	7	3	42.86%	5	1	80.00%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
	Total	82	39	33	0	1	5	4	0	323	284	39	41	21	16	0	0	1	3	0	169	136	33	41	18	17	0	1	4	1	0	154	148	6	93	0.567	323	573	896	3	0	112	110	96	12	3579	1165	1186	1202	44	3004	875	611	1943	245	48	19.59%	250	55	78.00%	4	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
30	Wolf Pack	2	2	0	0	0	0	0	0	12	5	7	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	5	4	1	4	1.000	12	20	32	0	0	112	110	96	12	98	1165	1186	1202	44	57	20	8	51	6	1	16.67%	4	0	100.00%	0	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
	_Since Last GM Reset	82	39	33	0	1	5	4	0	323	284	39	41	21	16	0	0	1	3	0	169	136	33	41	18	17	0	1	4	1	0	154	148	6	93	0.567	323	573	896	3	0	112	110	96	12	3579	1165	1186	1202	44	3004	875	611	1943	245	48	19.59%	250	55	78.00%	4	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539
	_Vs Conference	42	21	15	0	1	2	3	0	179	142	37	20	10	8	0	0	0	2	0	85	66	19	22	11	7	0	1	2	1	0	94	76	18	52	0.619	179	329	508	3	0	112	110	96	12	1874	1165	1186	1202	44	1506	454	309	1011	123	24	19.51%	124	25	79.84%	3	1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%	2061	1455	1846	582	1052	539

			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	93	W1	323	573	896	3579	3004	875	611	1943	3	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	39	33	1	5	4	0	323	284

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	21	16	0	1	3	0	169	136

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	17	1	4	1	0	154	148

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	5	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
245	48	19.59%	250	55	78.00%	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
1165	1186	1202	44	112	110	96	12

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
1727	3215	53.72%	1553	2899	53.57%	770	1430	53.85%

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
2061	1455	1846	582	1052	539

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 - 2020-10-22	3	Comets	2	Oil Kings	5	W			Sommaire du Match
4 - 2020-10-25	30	Monarchs	1	Oil Kings	6	W			Sommaire du Match
7 - 2020-10-28	37	Oil Kings	4	Sound Tigers	2	W			Sommaire du Match
9 - 2020-10-30	49	Oil Kings	2	Spiders	4	L			Sommaire du Match
11 - 2020-11-01	61	Oil Kings	5	Wolf Pack	4	W			Sommaire du Match
13 - 2020-11-03	84	Oil Kings	2	Baby Hawks	3	L			Sommaire du Match
15 - 2020-11-05	95	Phantoms	2	Oil Kings	4	W			Sommaire du Match
17 - 2020-11-07	111	Cougars	4	Oil Kings	1	L			Sommaire du Match
19 - 2020-11-09	127	Oil Kings	1	Oceanics	5	L			Sommaire du Match
21 - 2020-11-11	139	Oil Kings	7	Minnesota	5	W			Sommaire du Match
23 - 2020-11-13	154	Bears	2	Oil Kings	0	L			Sommaire du Match
26 - 2020-11-16	170	Cabaret Lady Mary Ann	4	Oil Kings	6	W			Sommaire du Match
28 - 2020-11-18	184	Oil Kings	1	Cougars	4	L			Sommaire du Match
29 - 2020-11-19	189	Oil Kings	0	Monsters	3	L			Sommaire du Match
32 - 2020-11-22	204	Oil Kings	4	Manchots	6	L			Sommaire du Match
34 - 2020-11-24	223	Jayhawks	2	Oil Kings	3	W			Sommaire du Match
36 - 2020-11-26	236	Chiefs	4	Oil Kings	5	W	X	X	Sommaire du Match
38 - 2020-11-28	251	Spiders	3	Oil Kings	7	W			Sommaire du Match
40 - 2020-11-30	269	Oil Kings	6	Admirals	4	W			Sommaire du Match
42 - 2020-12-02	280	Oil Kings	4	Sharks	3	W			Sommaire du Match
44 - 2020-12-04	290	Monsters	5	Oil Kings	3	L			Sommaire du Match
46 - 2020-12-06	300	Stars	5	Oil Kings	3	L			Sommaire du Match
49 - 2020-12-09	330	Oil Kings	2	Sharks	3	L	X		Sommaire du Match
51 - 2020-12-11	345	Oil Kings	4	Monarchs	7	L			Sommaire du Match
53 - 2020-12-13	360	Oil Kings	4	Las Vegas	1	W			Sommaire du Match
54 - 2020-12-14	364	Oil Kings	5	Jayhawks	3	W			Sommaire du Match
57 - 2020-12-17	387	Oil Kings	5	Monsters	2	W			Sommaire du Match
60 - 2020-12-20	415	Comets	4	Oil Kings	5	W	X	X	Sommaire du Match
61 - 2020-12-21	418	Oil Kings	2	Comets	1	W	X	X	Sommaire du Match
64 - 2020-12-24	436	Senators	3	Oil Kings	2	L			Sommaire du Match
66 - 2020-12-26	450	Monarchs	3	Oil Kings	4	W	X	X	Sommaire du Match
68 - 2020-12-28	467	Crunch	2	Oil Kings	0	L			Sommaire du Match
70 - 2020-12-30	479	Caroline	2	Oil Kings	6	W			Sommaire du Match
72 - 2021-01-01	493	Oil Kings	6	Minnesota	4	W			Sommaire du Match
74 - 2021-01-03	506	Marlies	4	Oil Kings	5	W			Sommaire du Match
76 - 2021-01-05	523	Oil Kings	2	Stars	4	L			Sommaire du Match
78 - 2021-01-07	537	Oil Kings	4	Chiefs	1	W			Sommaire du Match
80 - 2021-01-09	551	Manchots	5	Oil Kings	4	L	X		Sommaire du Match
81 - 2021-01-10	555	Rocket	1	Oil Kings	4	W			Sommaire du Match
83 - 2021-01-12	579	Oil Kings	5	Comets	6	L			Sommaire du Match
87 - 2021-01-16	590	Heat	2	Oil Kings	7	W			Sommaire du Match
91 - 2021-01-20	624	Wolf Pack	1	Oil Kings	7	W			Sommaire du Match
93 - 2021-01-22	628	Oil Kings	4	Crunch	5	L	X		Sommaire du Match
95 - 2021-01-24	641	Oil Kings	1	Bruins	3	L			Sommaire du Match
97 - 2021-01-26	659	Oil Kings	2	Marlies	3	L			Sommaire du Match
100 - 2021-01-29	679	Oil Kings	3	Rocket	5	L			Sommaire du Match
102 - 2021-01-31	701	Oil Kings	4	Heat	1	W			Sommaire du Match
105 - 2021-02-03	723	Chill	4	Oil Kings	6	W			Sommaire du Match
109 - 2021-02-07	745	Jayhawks	3	Oil Kings	5	W			Sommaire du Match
120 - 2021-02-18	780	Heat	2	Oil Kings	8	W			Sommaire du Match
122 - 2021-02-20	790	Chiefs	5	Oil Kings	4	L			Sommaire du Match
123 - 2021-02-21	803	Oil Kings	7	Heat	3	W			Sommaire du Match
126 - 2021-02-24	824	Oil Kings	4	Jayhawks	3	W	X		Sommaire du Match
128 - 2021-02-26	837	Sharks	2	Oil Kings	3	W			Sommaire du Match
130 - 2021-02-28	845	Chill	5	Oil Kings	4	L			Sommaire du Match
133 - 2021-03-03	875	Baby Hawks	5	Oil Kings	3	L			Sommaire du Match
135 - 2021-03-05	882	Oil Kings	4	Thunder	3	W			Sommaire du Match
137 - 2021-03-07	898	Oil Kings	7	Cabaret Lady Mary Ann	4	W			Sommaire du Match
138 - 2021-03-08	908	Oil Kings	4	Caroline	5	L	X		Sommaire du Match
141 - 2021-03-11	928	Bruins	4	Oil Kings	6	W			Sommaire du Match
143 - 2021-03-13	946	Minnesota	3	Oil Kings	6	W			Sommaire du Match
145 - 2021-03-15	966	Oil Kings	3	Monarchs	1	W			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
147 - 2021-03-17	980	Oil Kings	4	Admirals	5	L			Sommaire du Match
148 - 2021-03-18	982	Oil Kings	3	Las Vegas	5	L			Sommaire du Match
151 - 2021-03-21	1009	Oceanics	5	Oil Kings	3	L			Sommaire du Match
153 - 2021-03-23	1018	Oil Kings	3	Chill	4	L			Sommaire du Match
154 - 2021-03-24	1026	Oil Kings	5	Stars	3	W			Sommaire du Match
156 - 2021-03-26	1040	Oil Kings	4	Baby Hawks	5	L			Sommaire du Match
158 - 2021-03-28	1058	Monsters	3	Oil Kings	2	L			Sommaire du Match
160 - 2021-03-30	1068	Las Vegas	2	Oil Kings	5	W			Sommaire du Match
162 - 2021-04-01	1080	Oceanics	5	Oil Kings	4	L			Sommaire du Match
164 - 2021-04-03	1097	Sound Tigers	4	Oil Kings	5	W			Sommaire du Match
166 - 2021-04-05	1109	Oil Kings	3	Phantoms	4	L	X		Sommaire du Match
167 - 2021-04-06	1120	Oil Kings	3	Bears	4	L			Sommaire du Match
169 - 2021-04-08	1132	Oil Kings	5	Senators	4	W			Sommaire du Match
171 - 2021-04-10	1150	Thunder	2	Oil Kings	5	W			Sommaire du Match
174 - 2021-04-13	1174	Admirals	5	Oil Kings	1	L			Sommaire du Match
176 - 2021-04-15	1188	Monsters	5	Oil Kings	4	L			Sommaire du Match
178 - 2021-04-17	1203	Sharks	4	Oil Kings	1	L			Sommaire du Match
180 - 2021-04-19	1221	Admirals	3	Oil Kings	5	W			Sommaire du Match
182 - 2021-04-21	1237	Las Vegas	4	Oil Kings	2	L			Sommaire du Match
186 - 2021-04-25	1269	Oil Kings	6	Heat	3	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	12	5
Assistance	82,000	41,000
Assistance PCT	100.00%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	3000 - 100.00%	29,000$	1,189,000$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,284,858$	1,993,258$	1,993,258$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
10,716$	2,288,626$	26	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	10,716$	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