Ligue de hockey Simulée Ste-Flanelle

Edmonton
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Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Statistiques d’équipe en carrière
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Centre de jeu
	Las Vegas 25-47-10, 60pts	5	FINAL	6	Oil Kings 47-31-4, 98pts

Team Stats
L2	Streak	L1
12-24-5	Home Record	26-14-1
13-23-5	Away Record	21-17-3
1-5-4	Last 10 Games	6-4-0
3.72	Goals Per Game	3.32
4.73	Goals Against Per Game	3.27
19.83%	Power Play Percentage	21.31%
77.59%	Penalty Kill Percentage	77.73%

Oil Kings
47-31-4, 98pts

FINAL

Heat
50-26-6, 106pts

Team Stats
L1	Streak	W3
26-14-1	Home Record	30-8-3
21-17-3	Away Record	20-18-3
6-4-0	Last 10 Games	6-4-0
3.32	Goals Per Game	3.90
3.27	Goals Against Per Game	3.29
21.31%	Power Play Percentage	20.68%
77.73%	Penalty Kill Percentage	81.60%

Meneurs d'équipe
	Buts Rem Pitlick 20	Passes Rem Pitlick 28

	Points Rem Pitlick 48	Plus/Moins Jason Demers 11

	Victoires Aaron Dell 22	Pourcentage d’arrêts Jonas Johansson 0.915

Statistiques d’équipe
Buts pour 272 3.32 GFG	Tirs pour 3010 36.71 Avg	Pourcentage en avantage numérique 21.3% 52 GF	Début de zone offensive 40.7%
Buts contre 268 3.27 GAA	Tirs contre 3028 36.93 Avg	Pourcentage en désavantage numérique 77.7% 57 GA	Début de la zone défensive 40.8%

Information d’équipe
	Directeur général	Stephane Cournoyer
	Division	West
	Conférence	Ouest
	Capitaine
	Assistant #1
	Assistant #2
	Informations de l’aréna
	Capacité	3,000
	Assistance	3,000
	Billets de saison	300
Information formation
	Équipe Pro	28
	Équipe Mineure	19
	Limite contact	47 / 50
	Espoirs	11
Historique d'équipe
	Saison actuelle	47-31-4 (98PTS)
	Historique	47-31-6 (0.560%)
	Apparitions séries éliminatoires
	Historique séries éliminatoires (W-L)	-

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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	Brendan Lemieux		X	X		100.00	87	99	60	83	80	56	83	60	33	62	58	62	75	61	62	0	50	63	0	24	1	1,278,000$
2	Ryan McLeod	X				100.00	67	46	99	61	76	69	73	68	89	66	61	73	25	44	44	0	50	62	0	21	4	834,167$
3	Vitaly Kravtsov (R)		X	X		100.00	69	46	99	65	71	68	60	66	28	66	65	69	25	45	45	0	50	61	0	20	4	925,000$
4	C.J. Smith		X			100.00	69	66	76	68	66	58	57	66	50	65	62	65	59	55	55	0	50	60	0	25	1	950,000$
5	Adam Johnson	X	X			100.00	71	64	87	62	64	59	58	65	80	59	67	63	64	45	45	0	50	59	0	26	1	925,000$
6	Kieffer Bellows		X			100.00	91	46	90	69	71	58	60	64	45	50	72	53	25	46	46	0	50	58	0	22	1	925,000$
7	Vladislav Kamenev	X	X	X		100.00	69	46	88	79	72	49	52	59	55	59	53	66	24	51	51	0	50	58	0	24	1	900,000$
8	Axel Jonsson Fjallby (R)		X			100.00	74	68	89	65	68	67	70	57	50	47	62	62	59	44	44	0	50	57	0	22	4	860,000$
9	Scott Wilson		X			100.00	72	64	91	73	64	51	51	56	50	53	51	65	48	58	59	0	50	57	0	28	2	800,000$
10	Kole Sherwood			X		100.00	80	77	86	65	77	56	56	56	50	45	63	65	60	45	45	0	50	57	0	23	1	693,333$
11	Ryan Kuffner		X			100.00	75	71	96	59	71	54	55	51	49	45	53	64	51	44	44	0	50	53	0	24	2	925,000$
12	Jonatan Berggren (R)		X			100.00	49	43	88	67	65	66	89	47	57	48	37	45	39	50	50	0	50	51	0	20	4	925,000$
13	William Borgen				X	100.00	95	47	87	61	77	69	58	58	25	39	47	84	25	45	45	0	50	63	0	23	1	650,000$
14	Joseph Duszak				X	100.00	77	68	98	67	62	67	63	62	28	51	56	66	48	44	44	0	50	60	0	23	4	800,000$
15	Ashton Sautner				X	100.00	72	69	81	63	72	59	62	48	25	38	38	65	36	56	56	0	50	57	0	26	3	1,000,000$
16	Cam Lee (R)				X	100.00	73	70	80	68	70	56	57	53	25	50	41	61	39	44	44	0	50	56	0	23	4	925,000$
17	Nikita Tryamkin				X	100.00	65	50	69	56	99	46	37	34	35	32	35	73	44	37	34	0	50	53	0	26	2	850,000$
Rayé
1	Ty Lewis		X			100.00	71	67	93	57	67	50	52	45	49	42	42	60	41	44	44	0	50	50	0	22	1	716,666$
2	Ruslan Iskhakov (R)	X				100.00	42	33	86	69	53	67	94	43	50	43	35	42	37	50	51	0	50	49	0	20	4	825,000$
3	Victor Ejdsell	X	X			100.00	45	35	92	57	75	44	29	32	35	32	31	54	45	35	32	0	50	42	0	25	1	742,500$
4	Joel Persson				X	100.00	62	41	93	75	63	62	61	59	25	48	45	61	24	45	45	0	50	57	0	26	3	500,001$
5	Jordan Harris (R)				X	100.00	50	44	87	67	66	51	59	47	25	47	38	48	40	50	50	0	50	51	0	20	4	700,000$
6	Libor Sulak				X	100.00	48	35	71	60	68	49	31	29	35	28	30	77	46	35	32	0	50	50	0	26	2	833,750$
7	Garret Cockerill				X	100.00	39	45	45	45	66	36	36	39	45	39	39	45	42	32	30	0	50	41	0	26	1	825,000$

	MOYENNE D’ÉQUIPE					100.00	67	56	85	65	70	57	58	53	43	48	49	62	43	46	46	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	Jonas Johansson	100.00	57	50	60	90	60	57	69	61	65	59	75	45	45	0	50	61	0
2	Aaron Dell	100.00	53	50	64	75	51	52	56	58	55	53	30	57	57	0	50	56	0
3	Ukko-Pekka Luukkonen (R)	100.00	48	59	75	88	45	48	50	54	47	47	33	48	44	0	50	54	0
Rayé
1	Devan Dubnyk	100.00	59	61	71	92	62	58	60	60	63	59	71	73	73	0	50	64	0

	MOYENNE D’ÉQUIPE	100.00	54	55	68	86	55	54	59	58	58	55	52	56	55	0	50	59

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

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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	Vitaly Kravtsov	Oil Kings (Edm)	LW/RW	82	42	39	81	9	16	0	64	148	388	95	239	10.82%	23	1724	21.03	10	11	21	64	209	0	1	1	3	153	3	2	35.60%	250	0	1	0.94	3	6	0	0	0	5	6	6
2	Ryan McLeod	Oil Kings (Edm)	C	70	29	38	67	9	12	0	52	241	306	89	222	9.48%	38	1590	22.72	8	9	17	51	180	0	0	0	10	177	5	4	61.26%	1962	1	1	0.84	3	7	0	0	0	4	4	6
3	C.J. Smith	Oil Kings (Edm)	LW	71	22	42	64	5	34	0	100	132	261	75	184	8.43%	23	1303	18.37	3	6	9	29	122	0	1	1	0	58	8	3	40.82%	98	0	0	0.98	1	4	0	0	0	4	6	2
4	William Borgen	Oil Kings (Edm)	D	82	21	35	56	0	80	0	252	113	192	62	138	10.94%	181	1785	21.78	8	8	16	75	189	1	0	1	2	165	3	1	0.00%	0	1	0	0.63	0	0	0	0	0	4	0	2
5	Vladislav Kamenev	Oil Kings (Edm)	C/LW/RW	78	14	37	51	-8	16	0	91	132	207	67	195	6.76%	16	1447	18.56	1	7	8	22	176	0	0	0	1	30	3	2	53.33%	135	0	0	0.70	0	0	0	0	0	1	3	2
6	Rem Pitlick	Edmonton	C/LW	63	20	28	48	3	34	0	89	134	209	57	149	9.57%	7	1275	20.24	1	6	7	25	147	0	0	0	4	94	3	0	48.70%	1189	0	0	0.75	1	4	0	0	0	3	2	1
7	Adam Johnson	Oil Kings (Edm)	C/LW	68	19	27	46	1	12	0	80	152	222	56	183	8.56%	18	1191	17.53	2	7	9	15	68	0	0	0	0	47	4	1	57.63%	1390	0	1	0.77	1	2	0	0	0	4	2	4
8	Joseph Duszak	Oil Kings (Edm)	D	82	15	30	45	5	29	15	44	63	131	44	103	11.45%	98	1735	21.16	5	8	13	53	189	0	0	0	3	193	0	1	0.00%	0	0	0	0.52	0	0	1	0	2	1	1	5
9	Jake Debrusk	Edmonton	LW/RW	38	14	25	39	10	10	0	27	133	197	41	110	7.11%	12	911	23.99	3	4	7	26	85	0	0	0	3	120	3	0	42.90%	352	0	0	0.86	0	3	0	0	0	2	2	4
10	Scott Wilson	Oil Kings (Edm)	LW	82	10	27	37	-1	32	0	68	146	202	54	155	4.95%	19	1297	15.83	0	0	0	1	5	0	0	0	0	30	1	0	42.05%	409	0	0	0.57	0	0	0	0	0	0	2	1
11	Brendan Lemieux	Oil Kings (Edm)	LW/RW	47	9	27	36	10	72	10	202	123	151	52	109	5.96%	10	1044	22.23	0	6	6	22	114	0	1	1	4	102	0	3	43.05%	302	1	0	0.69	0	3	1	0	1	4	1	5
12	Kole Sherwood	Oil Kings (Edm)	RW	82	19	17	36	-1	44	10	160	70	194	58	171	9.79%	22	1394	17.01	2	3	5	10	72	0	0	0	0	44	3	0	37.50%	136	0	0	0.52	0	1	1	1	0	1	3	4
13	Jason Demers	Edmonton	D	28	8	21	29	11	2	0	49	41	65	19	37	12.31%	45	653	23.33	3	7	10	22	61	0	0	0	0	70	4	1	0.00%	0	0	0	0.89	0	0	0	0	0	3	2	1
14	Connor Clifton	Edmonton	D	31	7	21	28	11	22	0	75	43	77	29	41	9.09%	53	691	22.31	3	7	10	37	86	0	0	0	0	61	0	1	0.00%	1	0	0	0.81	0	0	0	0	0	2	2	1
15	Joel Persson	Oil Kings (Edm)	D	75	4	22	26	-9	24	0	41	52	85	20	47	4.71%	64	1261	16.83	3	6	9	36	100	0	0	0	0	97	1	1	0.00%	0	0	0	0.41	0	0	0	0	0	0	0	1
16	Cam Lee	Oil Kings (Edm)	D	82	5	18	23	6	31	5	130	60	50	9	38	10.00%	60	1069	13.04	0	1	1	6	25	0	0	0	0	37	1	1	29.41%	17	0	0	0.43	0	0	1	0	0	0	0	1
17	Ashton Sautner	Oil Kings (Edm)	D	82	5	13	18	-11	56	10	166	49	50	16	59	10.00%	122	1394	17.01	2	1	3	11	107	0	0	0	0	126	0	0	100.00%	1	0	0	0.26	0	0	0	1	1	1	2	1
18	Nikita Tryamkin	Oil Kings (Edm)	D	71	6	12	18	11	48	0	93	31	43	18	25	13.95%	76	873	12.30	0	0	0	1	11	0	0	0	0	48	1	0	50.00%	2	0	0	0.41	0	0	0	0	0	0	1	0
19	Kieffer Bellows	Oil Kings (Edm)	LW	19	4	10	14	0	4	0	38	12	29	13	39	13.79%	10	269	14.19	0	0	0	2	1	0	0	0	1	14	0	0	47.06%	17	0	0	1.04	0	0	0	0	0	0	1	1
20	Ryan Kuffner	Oil Kings (Edm)	LW	70	5	6	11	-3	12	0	56	31	73	15	50	6.85%	16	589	8.42	1	0	1	5	14	0	0	0	0	15	0	0	40.60%	133	0	0	0.37	0	0	0	0	0	0	0	0
21	Pierre Engvall	Edmonton	C/LW	11	4	4	8	5	0	0	11	43	48	16	39	8.33%	2	251	22.83	0	2	2	8	24	1	0	1	3	24	2	0	52.31%	346	0	0	0.64	0	1	0	0	0	1	1	1
22	Axel Jonsson Fjallby	Oil Kings (Edm)	LW	7	0	3	3	5	4	0	6	3	5	0	4	0.00%	12	101	14.56	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.59	0	0	0	0	0	0	0	0
23	Jordan Harris	Oil Kings (Edm)	D	9	0	1	1	-1	0	0	0	0	0	0	1	0.00%	1	46	5.15	0	0	0	0	1	0	0	0	0	6	0	0	0.00%	0	0	0	0.43	0	0	0	0	0	0	0	0
24	Jonatan Berggren	Oil Kings (Edm)	LW	7	0	0	0	0	0	0	0	0	1	0	1	0.00%	0	10	1.53	0	0	0	0	1	0	0	0	1	2	0	0	0.00%	1	0	0	0.00	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1337	282	503	785	67	594	50	1894	1952	3186	905	2339	8.85%	928	23916	17.89	55	99	154	521	1998	2	3	5	35	1726	45	21	52.47%	6741	3	3	0.66	9	31	4	2	4	40	41	49

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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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Aaron Dell	Oil Kings (Edm)	34	22	10	1	0.915	2.98	1913	6	95	1122	2	1	0.667	6	33	23	3	3	1
2	Jonas Johansson	Oil Kings (Edm)	39	20	15	3	0.915	3.18	2243	0	119	1407	0	0	0.684	19	39	0	2	3	1
3	Devan Dubnyk	Oil Kings (Edm)	3	1	1	1	0.868	4.58	131	0	10	76	1	0	0.000	0	3	0	0	0	0
4	Ukko-Pekka Luukkonen	Oil Kings (Edm)	8	1	2	0	0.900	3.11	347	0	18	180	0	0	0.000	0	3	42	0	0	0
5	Anders Nilsson	Edmonton	6	0	5	0	0.911	3.83	329	2	21	237	0	0	0.000	0	5	22	0	2	0
Statistiques d’équipe totales ou en moyenne			90	44	33	5	0.913	3.18	4965	8	263	3022	3	1	0.680	25	83	87	5	8	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	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Link
Aaron Dell	Oil Kings (Edm)	G	31	1989-05-04	No	209 Lbs	6 ft0	No	No	No	2	Pro & Farm	2,533,333$	253,333$	0$	No	2,533,333$			Lien
Adam Johnson	Oil Kings (Edm)	C/LW	26	1994-06-22	No	174 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	92,500$	0$	No				Lien
Ashton Sautner	Oil Kings (Edm)	D	26	1994-05-27	No	195 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,000,000$	100,000$	0$	No	1,000,000$	1,000,000$		Lien
Axel Jonsson Fjallby	Oil Kings (Edm)	LW	22	1998-02-10	Yes	185 Lbs	6 ft0	No	No	No	4	Pro & Farm	860,000$	86,000$	0$	No	860,000$	860,000$	860,000$	Lien
Brendan Lemieux	Oil Kings (Edm)	LW/RW	24	1996-03-15	No	213 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,278,000$	127,800$	0$	No				Lien
C.J. Smith	Oil Kings (Edm)	LW	25	1994-11-30	No	184 Lbs	5 ft11	No	No	No	1	Pro & Farm	950,000$	95,000$	0$	No				Lien
Cam Lee	Oil Kings (Edm)	D	23	1997-02-18	Yes	190 Lbs	6 ft0	No	No	No	4	Pro & Farm	925,000$	92,500$	0$	No	925,000$	925,000$	925,000$	Lien
Devan Dubnyk	Oil Kings (Edm)	G	34	1986-05-03	No	224 Lbs	6 ft6	No	No	No	4	Pro & Farm	1,920,000$	192,000$	0$	No	1,920,000$	1,920,000$	1,920,000$	Lien
Garret Cockerill	Oil Kings (Edm)	D	26	1994-02-19	No	203 Lbs	6 ft0	No	No	No	1	Pro & Farm	825,000$	82,500$	0$	No				Lien
Joel Persson	Oil Kings (Edm)	D	26	1994-03-04	No	170 Lbs	5 ft11	No	No	No	3	Pro & Farm	500,001$	50,000$	0$	No	500,001$	500,001$		Lien
Jonas Johansson	Oil Kings (Edm)	G	25	1995-09-18	No	220 Lbs	6 ft5	No	No	No	1	Pro & Farm	800,000$	80,000$	0$	No				Lien
Jonatan Berggren	Oil Kings (Edm)	LW	20	2000-07-16	Yes	183 Lbs	5 ft11	No	No	No	4	Pro & Farm	925,000$	92,500$	0$	No	925,000$	925,000$	925,000$	Lien
Jordan Harris	Oil Kings (Edm)	D	20	2000-07-07	Yes	185 Lbs	5 ft11	No	No	No	4	Pro & Farm	700,000$	70,000$	0$	No	700,000$	700,000$	700,000$	Lien
Joseph Duszak	Oil Kings (Edm)	D	23	1997-07-22	No	176 Lbs	5 ft9	No	No	No	4	Pro & Farm	800,000$	80,000$	0$	No	800,000$	800,000$	800,000$	Lien
Kieffer Bellows	Oil Kings (Edm)	LW	22	1998-06-10	No	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	92,500$	0$	No				Lien
Kole Sherwood	Oil Kings (Edm)	RW	23	1997-01-22	No	212 Lbs	6 ft1	No	No	No	1	Pro & Farm	693,333$	69,333$	0$	No				Lien
Libor Sulak	Oil Kings (Edm)	D	26	1994-03-04	No	207 Lbs	6 ft2	No	No	No	2	Pro & Farm	833,750$	83,375$	0$	No	833,750$			Lien
Nikita Tryamkin	Oil Kings (Edm)	D	26	1994-08-30	No	265 Lbs	6 ft7	No	No	No	2	Pro & Farm	850,000$	85,000$	0$	No	850,000$			Lien
Ruslan Iskhakov	Oil Kings (Edm)	C	20	2000-07-22	Yes	152 Lbs	5 ft8	No	No	No	4	Pro & Farm	825,000$	82,500$	0$	No	825,000$	825,000$	825,000$	Lien
Ryan Kuffner	Oil Kings (Edm)	LW	24	1996-06-11	No	194 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	92,500$	0$	No	925,000$			Lien
Ryan McLeod	Oil Kings (Edm)	C	21	1999-09-21	No	207 Lbs	6 ft2	No	No	No	4	Pro & Farm	834,167$	83,417$	0$	No	834,167$	834,167$	834,167$	Lien
Scott Wilson	Oil Kings (Edm)	LW	28	1992-04-24	No	177 Lbs	5 ft11	No	No	No	2	Pro & Farm	800,000$	80,000$	0$	No	800,000$			Lien
Ty Lewis	Oil Kings (Edm)	LW	22	1998-03-05	No	187 Lbs	5 ft11	No	No	No	1	Pro & Farm	716,666$	71,667$	0$	No				Lien
Ukko-Pekka Luukkonen	Oil Kings (Edm)	G	21	1999-03-08	Yes	220 Lbs	6 ft4	No	No	No	2	Pro & Farm	778,333$	77,833$	0$	No	778,333$			Lien
Victor Ejdsell	Oil Kings (Edm)	C/LW	25	1995-06-06	No	214 Lbs	6 ft5	No	No	No	1	Pro & Farm	742,500$	74,250$	0$	No				Lien
Vitaly Kravtsov	Oil Kings (Edm)	LW/RW	20	1999-12-23	Yes	189 Lbs	6 ft3	No	No	No	4	Pro & Farm	925,000$	92,500$	0$	No	925,000$	925,000$	925,000$	Lien
Vladislav Kamenev	Oil Kings (Edm)	C/LW/RW	24	1996-08-12	No	194 Lbs	6 ft2	No	No	No	1	Pro & Farm	900,000$	90,000$	0$	No				Lien
William Borgen	Oil Kings (Edm)	D	23	1996-12-19	No	205 Lbs	6 ft3	No	No	No	1	Pro & Farm	650,000$	65,000$	0$	No				Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
28	24.14	197 Lbs	6 ft1	2.32	940,717$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brendan Lemieux	Ryan McLeod	Vitaly Kravtsov	40	1	2	2
2	C.J. Smith	Adam Johnson	Vladislav Kamenev	30	1	2	2
3	Kieffer Bellows	Scott Wilson	Kole Sherwood	20	1	2	2
4	Scott Wilson	Brendan Lemieux	Ryan McLeod	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	William Borgen	Joseph Duszak	40	1	2	2
2	Ashton Sautner	Cam Lee	30	1	2	2
3	Nikita Tryamkin	Axel Jonsson Fjallby	20	1	2	2
4	William Borgen	Joseph Duszak	10	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brendan Lemieux	Ryan McLeod	Vitaly Kravtsov	60	1	2	2
2	C.J. Smith	Adam Johnson	Vladislav Kamenev	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	William Borgen	Joseph Duszak	60	1	2	2
2	Ashton Sautner	Cam Lee	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Brendan Lemieux	Ryan McLeod	60	1	2	2
2	Vitaly Kravtsov	C.J. Smith	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	William Borgen	Joseph Duszak	60	1	2	2
2	Ashton Sautner	Cam Lee	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Brendan Lemieux	60	1	2	2	William Borgen	Joseph Duszak	60	1	2	2
2	Ryan McLeod	40	1	2	2	Ashton Sautner	Cam Lee	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Brendan Lemieux	Ryan McLeod	60	1	2	2
2	Vitaly Kravtsov	C.J. Smith	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	William Borgen	Joseph Duszak	60	1	2	2
2	Ashton Sautner	Cam Lee	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Brendan Lemieux	Ryan McLeod	Vitaly Kravtsov	William Borgen	Joseph Duszak

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Brendan Lemieux	Ryan McLeod	Vitaly Kravtsov	William Borgen	Joseph Duszak

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Ryan Kuffner, Jonatan Berggren, Kieffer Bellows	Ryan Kuffner, Jonatan Berggren	Kieffer Bellows

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Nikita Tryamkin, Ashton Sautner, Cam Lee	Nikita Tryamkin	Ashton Sautner, Cam Lee

Tirs de pénalité
Brendan Lemieux, Ryan McLeod, Vitaly Kravtsov, C.J. Smith, Adam Johnson

Gardien
#1 : , #2 :

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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

	Total												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	11	11	0	2	1	1	0	0	0	0	0	8	8	0	2	1	1	0	0	0	0	0	3	3	0	4	0.500	11	19	30	0	0	109	74	82	12	134	1062	894	1033	50	141	51	33	71	10	1	10.00%	13	3	76.92%	1	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
2	Baby Hawks	3	2	1	0	0	0	0	0	8	13	-5	1	0	1	0	0	0	0	0	0	7	-7	2	2	0	0	0	0	0	0	8	6	2	4	0.667	8	12	20	0	0	109	74	82	12	99	1062	894	1033	50	100	31	25	84	10	1	10.00%	10	2	80.00%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
3	Bears	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	7	14	21	0	0	109	74	82	12	67	1062	894	1033	50	77	25	8	36	7	0	0.00%	4	2	50.00%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
4	Bruins	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	4	6	10	0	0	109	74	82	12	60	1062	894	1033	50	93	28	14	42	6	2	33.33%	7	2	71.43%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
5	Cabaret Lady Mary Ann	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	3	2	1	4	1.000	8	16	24	0	0	109	74	82	12	81	1062	894	1033	50	72	16	14	46	9	2	22.22%	7	1	85.71%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
6	Caroline	2	1	0	0	0	0	0	1	7	5	2	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	0	0	1	3	4	-1	3	0.750	7	13	20	0	0	109	74	82	12	76	1062	894	1033	50	77	20	14	35	7	2	28.57%	7	1	85.71%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
7	Chiefs	3	2	1	0	0	0	0	0	9	5	4	2	1	1	0	0	0	0	0	3	3	0	1	1	0	0	0	0	0	0	6	2	4	4	0.667	9	18	27	0	0	109	74	82	12	67	1062	894	1033	50	102	32	32	63	3	0	0.00%	16	2	87.50%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
8	Chill	3	3	0	0	0	0	0	0	17	10	7	2	2	0	0	0	0	0	0	11	7	4	1	1	0	0	0	0	0	0	6	3	3	6	1.000	17	32	49	0	0	109	74	82	12	128	1062	894	1033	50	111	33	36	83	10	5	50.00%	10	1	90.00%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
9	Comets	4	2	1	0	1	0	0	0	14	9	5	2	1	0	0	1	0	0	0	5	2	3	2	1	1	0	0	0	0	0	9	7	2	6	0.750	14	26	40	0	0	109	74	82	12	158	1062	894	1033	50	121	39	24	99	11	3	27.27%	11	1	90.91%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
10	Cougars	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	9	17	26	0	0	109	74	82	12	71	1062	894	1033	50	76	19	22	40	6	2	33.33%	9	0	100.00%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
11	Crunch	2	2	0	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	8	15	23	0	0	109	74	82	12	113	1062	894	1033	50	56	21	19	39	6	2	33.33%	7	1	85.71%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
12	Heat	5	2	3	0	0	0	0	0	20	21	-1	2	0	2	0	0	0	0	0	7	11	-4	3	2	1	0	0	0	0	0	13	10	3	4	0.400	20	37	57	0	0	109	74	82	12	176	1062	894	1033	50	207	56	60	118	17	3	17.65%	23	5	78.26%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
13	Jayhawks	4	2	1	0	0	0	1	0	17	11	6	2	1	0	0	0	0	1	0	10	6	4	2	1	1	0	0	0	0	0	7	5	2	6	0.750	17	31	48	0	0	109	74	82	12	162	1062	894	1033	50	152	46	21	91	12	2	16.67%	6	3	50.00%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
14	Las Vegas	4	2	1	0	1	0	0	0	18	17	1	2	1	0	0	1	0	0	0	10	7	3	2	1	1	0	0	0	0	0	8	10	-2	6	0.750	18	31	49	0	0	109	74	82	12	175	1062	894	1033	50	178	55	36	105	13	3	23.08%	17	3	82.35%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
15	Manchots	2	1	0	0	0	0	0	1	7	7	0	1	0	0	0	0	0	0	1	3	4	-1	1	1	0	0	0	0	0	0	4	3	1	3	0.750	7	12	19	0	0	109	74	82	12	81	1062	894	1033	50	79	21	10	48	5	2	40.00%	5	1	80.00%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
16	Marlies	2	1	0	0	0	0	0	1	7	7	0	1	1	0	0	0	0	0	0	5	4	1	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	7	13	20	0	0	109	74	82	12	74	1062	894	1033	50	73	26	19	53	7	3	42.86%	7	1	85.71%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
17	Minnesota	3	2	1	0	0	0	0	0	9	9	0	1	1	0	0	0	0	0	0	4	3	1	2	1	1	0	0	0	0	0	5	6	-1	4	0.667	9	15	24	0	0	109	74	82	12	137	1062	894	1033	50	109	30	10	60	11	1	9.09%	5	2	60.00%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
18	Monarchs	4	2	2	0	0	0	0	0	11	12	-1	2	1	1	0	0	0	0	0	5	5	0	2	1	1	0	0	0	0	0	6	7	-1	4	0.500	11	21	32	1	0	109	74	82	12	141	1062	894	1033	50	141	37	24	74	16	4	25.00%	11	2	81.82%	1	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
19	Monsters	2	1	0	0	0	0	1	0	8	6	2	1	0	0	0	0	0	1	0	5	4	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	8	12	20	0	0	109	74	82	12	65	1062	894	1033	50	64	27	16	59	7	0	0.00%	8	0	100.00%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
20	Monsters	3	2	1	0	0	0	0	0	11	10	1	2	2	0	0	0	0	0	0	10	6	4	1	0	1	0	0	0	0	0	1	4	-3	4	0.667	11	18	29	0	0	109	74	82	12	90	1062	894	1033	50	113	31	18	61	11	3	27.27%	9	2	77.78%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
21	Oceanics	3	0	2	0	0	1	0	0	7	10	-3	2	0	2	0	0	0	0	0	4	6	-2	1	0	0	0	0	1	0	0	3	4	-1	1	0.167	7	13	20	0	0	109	74	82	12	116	1062	894	1033	50	132	33	12	82	13	1	7.69%	5	2	60.00%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
22	Phantoms	2	1	1	0	0	0	0	0	7	7	0	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	4	3	1	2	0.500	7	13	20	0	0	109	74	82	12	67	1062	894	1033	50	84	22	18	45	6	1	16.67%	9	4	55.56%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
23	Rocket	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	3	5	8	0	0	109	74	82	12	61	1062	894	1033	50	71	22	10	43	6	1	16.67%	4	1	75.00%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
24	Senators	2	1	0	0	1	0	0	0	10	7	3	1	0	0	0	1	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	10	17	27	0	0	109	74	82	12	73	1062	894	1033	50	88	35	10	47	5	3	60.00%	5	3	40.00%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
25	Sharks	4	1	3	0	0	0	0	0	8	18	-10	2	1	1	0	0	0	0	0	5	6	-1	2	0	2	0	0	0	0	0	3	12	-9	2	0.250	8	15	23	0	0	109	74	82	12	112	1062	894	1033	50	146	63	32	87	8	0	0.00%	16	6	62.50%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
26	Sound Tigers	2	1	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	3	2	1	2	0.500	4	7	11	0	0	109	74	82	12	88	1062	894	1033	50	59	19	12	42	6	1	16.67%	6	4	33.33%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
27	Spiders	2	0	2	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	0	5	-5	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	109	74	82	12	53	1062	894	1033	50	76	26	4	41	4	0	0.00%	2	0	100.00%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
28	Stars	3	1	2	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	5	1	4	2	0	2	0	0	0	0	0	3	6	-3	2	0.333	8	13	21	0	0	109	74	82	12	96	1062	894	1033	50	86	25	27	66	8	2	25.00%	9	0	100.00%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
29	Thunder	2	1	0	0	0	0	1	0	10	8	2	1	0	0	0	0	0	1	0	6	5	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	10	17	27	0	0	109	74	82	12	111	1062	894	1033	50	89	26	10	54	1	1	100.00%	5	1	80.00%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
30	Wolf Pack	2	0	1	0	0	0	1	0	4	5	-1	1	0	0	0	0	0	1	0	3	2	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	4	5	9	0	0	109	74	82	12	78	1062	894	1033	50	55	16	6	42	3	1	33.33%	3	1	66.67%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
	Total	82	40	31	0	3	1	4	3	272	268	4	41	19	14	0	3	0	4	1	145	138	7	41	21	17	0	0	1	0	2	127	130	-3	98	0.598	272	485	757	1	0	109	74	82	12	3010	1062	894	1033	50	3028	931	596	1856	244	52	21.31%	256	57	77.73%	2	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
	_Since Last GM Reset	82	40	31	0	3	1	4	3	272	268	4	41	19	14	0	3	0	4	1	145	138	7	41	21	17	0	0	1	0	2	127	130	-3	98	0.598	272	485	757	1	0	109	74	82	12	3010	1062	894	1033	50	3028	931	596	1856	244	52	21.31%	256	57	77.73%	2	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543
	_Vs Conference	42	24	14	0	2	0	1	1	149	130	19	20	12	5	0	2	0	1	0	76	62	14	22	12	9	0	0	0	0	1	73	68	5	55	0.655	149	267	416	0	0	109	74	82	12	1562	1062	894	1033	50	1520	443	332	950	130	27	20.77%	140	24	82.86%	0	1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%	2016	1396	1868	601	1077	543

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
82	98	L1	272	485	757	3010	3028	931	596	1856	1	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	40	31	3	1	4	3	272	268

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	19	14	3	0	4	1	145	138

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	21	17	0	1	0	2	127	130

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
244	52	21.31%	256	57	77.73%	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
1062	894	1033	50	109	74	82	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
1542	2894	53.28%	1413	2901	48.71%	646	1315	49.13%

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
2016	1396	1868	601	1077	543

Derniers matchs 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 - 2021-10-12	3	Comets	1	Oil Kings	2	W	X		Sommaire du match
4 - 2021-10-15	30	Monarchs	3	Oil Kings	1	L			Sommaire du match
7 - 2021-10-18	37	Oil Kings	3	Sound Tigers	2	W			Sommaire du match
9 - 2021-10-20	49	Oil Kings	1	Spiders	2	L			Sommaire du match
11 - 2021-10-22	61	Oil Kings	1	Wolf Pack	3	L			Sommaire du match
13 - 2021-10-24	84	Oil Kings	4	Baby Hawks	3	W			Sommaire du match
15 - 2021-10-26	95	Phantoms	4	Oil Kings	3	L			Sommaire du match
17 - 2021-10-28	111	Cougars	4	Oil Kings	6	W			Sommaire du match
19 - 2021-10-30	127	Oil Kings	3	Oceanics	4	L	X		Sommaire du match
21 - 2021-11-01	139	Oil Kings	4	Minnesota	3	W			Sommaire du match
23 - 2021-11-03	154	Bears	3	Oil Kings	5	W			Sommaire du match
26 - 2021-11-06	170	Cabaret Lady Mary Ann	2	Oil Kings	5	W			Sommaire du match
28 - 2021-11-08	184	Oil Kings	3	Cougars	2	W			Sommaire du match
29 - 2021-11-09	189	Oil Kings	3	Monsters	2	W			Sommaire du match
32 - 2021-11-12	204	Oil Kings	4	Manchots	3	W			Sommaire du match
34 - 2021-11-14	223	Jayhawks	4	Oil Kings	5	W	X	X	Sommaire du match
36 - 2021-11-16	236	Chiefs	1	Oil Kings	2	W			Sommaire du match
38 - 2021-11-18	251	Spiders	5	Oil Kings	0	L			Sommaire du match
40 - 2021-11-20	269	Oil Kings	1	Admirals	2	L			Sommaire du match
42 - 2021-11-22	280	Oil Kings	1	Sharks	7	L			Sommaire du match
44 - 2021-11-24	290	Monsters	2	Oil Kings	5	W			Sommaire du match
46 - 2021-11-26	300	Stars	1	Oil Kings	5	W			Sommaire du match
49 - 2021-11-29	330	Oil Kings	2	Sharks	5	L			Sommaire du match
51 - 2021-12-01	345	Oil Kings	5	Monarchs	4	W			Sommaire du match
53 - 2021-12-03	360	Oil Kings	3	Las Vegas	7	L			Sommaire du match
54 - 2021-12-04	364	Oil Kings	5	Jayhawks	2	W			Sommaire du match
57 - 2021-12-07	387	Oil Kings	1	Monsters	4	L			Sommaire du match
60 - 2021-12-10	415	Comets	1	Oil Kings	3	W			Sommaire du match
61 - 2021-12-11	418	Oil Kings	6	Comets	1	W			Sommaire du match
64 - 2021-12-14	436	Senators	4	Oil Kings	5	W	X		Sommaire du match
66 - 2021-12-16	450	Monarchs	2	Oil Kings	4	W			Sommaire du match
68 - 2021-12-18	467	Crunch	5	Oil Kings	6	W			Sommaire du match
70 - 2021-12-20	479	Caroline	1	Oil Kings	4	W			Sommaire du match
72 - 2021-12-22	493	Oil Kings	1	Minnesota	3	L			Sommaire du match
74 - 2021-12-24	506	Marlies	4	Oil Kings	5	W			Sommaire du match
76 - 2021-12-26	523	Oil Kings	2	Stars	3	L			Sommaire du match
78 - 2021-12-28	537	Oil Kings	6	Chiefs	2	W			Sommaire du match
80 - 2021-12-30	551	Manchots	4	Oil Kings	3	L	X	X	Sommaire du match
81 - 2021-12-31	555	Rocket	4	Oil Kings	1	L			Sommaire du match
83 - 2022-01-02	579	Oil Kings	3	Comets	6	L			Sommaire du match
87 - 2022-01-06	590	Heat	5	Oil Kings	3	L			Sommaire du match
91 - 2022-01-10	624	Wolf Pack	2	Oil Kings	3	W	X	X	Sommaire du match
93 - 2022-01-12	628	Oil Kings	2	Crunch	1	W			Sommaire du match
95 - 2022-01-14	641	Oil Kings	4	Bruins	5	L			Sommaire du match
97 - 2022-01-16	659	Oil Kings	2	Marlies	3	L	X	X	Sommaire du match
100 - 2022-01-19	679	Oil Kings	2	Rocket	3	L			Sommaire du match
102 - 2022-01-21	701	Oil Kings	5	Heat	2	W			Sommaire du match
105 - 2022-01-24	723	Chill	3	Oil Kings	6	W			Sommaire du match
109 - 2022-01-28	745	Jayhawks	2	Oil Kings	5	W			Sommaire du match
120 - 2022-02-08	780	Heat	6	Oil Kings	4	L			Sommaire du match
122 - 2022-02-10	790	Chiefs	2	Oil Kings	1	L			Sommaire du match
123 - 2022-02-11	803	Oil Kings	4	Heat	2	W			Sommaire du match
126 - 2022-02-14	824	Oil Kings	2	Jayhawks	3	L			Sommaire du match
128 - 2022-02-16	837	Sharks	3	Oil Kings	4	W			Sommaire du match
130 - 2022-02-18	845	Chill	4	Oil Kings	5	W			Sommaire du match
133 - 2022-02-21	875	Baby Hawks	7	Oil Kings	0	L			Sommaire du match
135 - 2022-02-23	882	Oil Kings	4	Thunder	3	W			Sommaire du match
137 - 2022-02-25	898	Oil Kings	3	Cabaret Lady Mary Ann	2	W			Sommaire du match
138 - 2022-02-26	908	Oil Kings	3	Caroline	4	L	X	X	Sommaire du match
141 - 2022-03-01	928	Bruins	4	Oil Kings	0	L			Sommaire du match
143 - 2022-03-03	946	Minnesota	3	Oil Kings	4	W			Sommaire du match
145 - 2022-03-05	966	Oil Kings	1	Monarchs	3	L			Sommaire du match
147 - 2022-03-07	980	Oil Kings	2	Admirals	1	W			Sommaire du match
148 - 2022-03-08	982	Oil Kings	5	Las Vegas	3	W			Sommaire du match
151 - 2022-03-11	1009	Oceanics	3	Oil Kings	2	L			Sommaire du match
153 - 2022-03-13	1018	Oil Kings	6	Chill	3	W			Sommaire du match
154 - 2022-03-14	1026	Oil Kings	1	Stars	3	L			Sommaire du match
156 - 2022-03-16	1040	Oil Kings	4	Baby Hawks	3	W			Sommaire du match
158 - 2022-03-18	1058	Monsters	4	Oil Kings	5	W	X	X	Sommaire du match
160 - 2022-03-20	1068	Las Vegas	2	Oil Kings	4	W			Sommaire du match
162 - 2022-03-22	1080	Oceanics	3	Oil Kings	2	L			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
164 - 2022-03-24	1097	Sound Tigers	5	Oil Kings	1	L			Sommaire du match
166 - 2022-03-26	1109	Oil Kings	4	Phantoms	3	W			Sommaire du match
167 - 2022-03-27	1120	Oil Kings	2	Bears	4	L			Sommaire du match
169 - 2022-03-29	1132	Oil Kings	5	Senators	3	W			Sommaire du match
171 - 2022-03-31	1150	Thunder	5	Oil Kings	6	W	X	X	Sommaire du match
174 - 2022-04-03	1174	Admirals	5	Oil Kings	3	L			Sommaire du match
176 - 2022-04-05	1188	Monsters	4	Oil Kings	5	W			Sommaire du match
178 - 2022-04-07	1203	Sharks	3	Oil Kings	1	L			Sommaire du match
180 - 2022-04-09	1221	Admirals	3	Oil Kings	5	W			Sommaire du match
182 - 2022-04-11	1237	Las Vegas	5	Oil Kings	6	W	X		Sommaire du match
186 - 2022-04-15	1269	Oil Kings	4	Heat	6	L			Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des billets	12	5
Assistance	82,000	40,984
Assistance PCT	100.00%	99.96%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	3000 - 99.99%	28,998$	1,188,920$	3000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs
2,636,831$	2,634,008$	2,634,008$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
14,086$	2,647,096$	28	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	14,086$	0$

Afficher ou masquer des colonnes

	Total											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

	Oil Kings
	GP: 82 \| W: 47 \| L: 31 \| OTL: 4 \| P: 98 GF: 272 \| GA: 268 \| PP%: 21.31% \| PK%: 77.73% DG: Stephane Cournoyer \| Morale : 50 \| Moyenne d’équipe : 56