Ligue de Hockey Simulé de l'Estrie

BlueJackets
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Statistiques d’équipe
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Centre de jeu
	Sea Dogs 45-24-13, 103pts	2	FINAL	0	Rapido 50-23-9, 109pts

Team Stats
SOL1	Streak	W1
22-13-6	Home Record	27-10-4
23-11-7	Away Record	23-13-5
4-5-1	Last 10 Games	6-4-0
3.22	Goals Per Game	3.07
2.49	Goals Against Per Game	2.39
41.19%	Power Play Percentage	49.68%
62.59%	Penalty Kill Percentage	63.53%

Rapido
50-23-9, 109pts

FINAL

Monarchs
13-65-4, 30pts

Team Stats
W1	Streak	L2
27-10-4	Home Record	7-33-1
23-13-5	Away Record	6-32-3
6-4-0	Last 10 Games	2-8-0
3.07	Goals Per Game	2.10
2.39	Goals Against Per Game	4.70
49.68%	Power Play Percentage	28.29%
63.53%	Penalty Kill Percentage	43.46%

Meneurs d'équipe
	Buts Kailer Yamamoto 16	Passes Kailer Yamamoto 21

	Points Kailer Yamamoto 37	Plus/Moins Kailer Yamamoto -3

	Victoires Malcolm Subban 26	Pourcentage d’arrêts Malcolm Subban 0.934

Statistiques d’équipe
Buts pour 252 3.07 GFG	Tirs pour 2910 35.49 Avg	Pourcentage en avantage numérique 49.7% 153 GF	Début de zone offensive 38.9%
Buts contre 196 2.39 GAA	Tirs contre 2489 30.35 Avg	Pourcentage en désavantage numérique 63.5% 93 GA	Début de la zone défensive 35.4%

Information d’équipe
	Directeur général	Olivier Vezina
	Entraîneur	Jack Capuano
	Division	Centrale
	Conférence	Ouest
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Capacité	3,000
	Assistance	2,910
	Billets de saison	300
Information formation
	Équipe Pro	26
	Équipe Mineure	20
	Limite contact	46 / 75
	Espoirs	33

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Astuces sur les filtres (anglais seulement)

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

#	Nom du 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	Cody Glass (R)	X				100.00	54	36	92	86	65	68	60	56	52	52	59	55	56	45	59	0	50	66	0	22	2	875,000$
2	Jason Chimera		X			100.00	56	32	94	82	74	56	42	48	43	43	53	58	52	99	85	0	50	65	0	42	2	500,000$
3	Benoit Pouliot		X			100.00	50	31	94	84	69	57	40	48	43	43	54	62	52	84	77	0	50	64	0	35	2	600,000$
4	Michael Cammalleri		X			100.00	49	31	95	84	54	57	38	50	44	47	53	58	57	96	83	0	50	63	0	39	1	600,000$
5	Mike Ribeiro	X				100.00	47	31	95	86	58	53	32	47	43	44	51	56	51	99	82	0	50	62	0	41	3	700,000$
6	Daniel Sprong			X		100.00	52	35	95	84	59	64	44	51	47	45	57	55	57	51	60	0	50	62	0	24	2	900,000$
7	Gemel Smith	X				100.00	52	36	94	83	60	62	31	48	52	41	55	60	53	60	65	0	50	61	0	27	1	900,000$
8	Matthew Peca	X				100.00	58	35	95	84	53	61	36	49	55	46	51	60	51	63	67	0	50	61	0	28	2	700,000$
9	Adam McQuaid				X	100.00	70	41	91	83	78	60	44	50	51	48	54	70	53	84	82	0	22	70	0	35	3	800,000$
10	Slater Koekkoek				X	100.00	69	34	88	85	62	67	58	54	49	55	54	71	52	60	72	0	42	70	0	27	1	900,000$
11	Kevin Connauton				X	100.00	69	33	93	83	65	61	47	53	50	49	55	69	54	72	76	0	50	68	0	31	2	700,000$
12	Cody Goloubef				X	100.00	65	32	93	85	59	59	41	50	50	47	53	65	52	75	76	0	50	66	0	32	3	700,000$
13	Jacob Bernard-Docker (R)				X	100.00	53	25	84	84	55	75	67	56	45	55	53	58	56	42	43	0	50	65	0	21	4	800,000$
14	Andrei Markov				X	100.00	47	32	95	83	77	54	33	49	52	50	52	59	51	99	84	0	50	65	0	43	1	700,000$
15	Stephane Robidas				X	100.00	45	32	95	84	75	50	25	45	52	45	50	55	50	99	82	0	50	62	0	44	1	600,000$
16	Eric Gelinas				X	100.00	47	33	95	82	78	51	27	46	49	46	50	55	50	69	68	0	50	61	0	30	3	500,000$
Rayé
1	Trevor Zegras (R)	X				99.00	78	25	60	87	52	79	80	60	70	60	55	65	60	39	45	0	5	69	0	20	4	875,000$
2	Nicholas Merkley (R)			X		90.84	59	36	94	83	58	59	25	50	47	45	55	63	53	51	63	0	50	61	0	24	2	900,000$
3	Nail Yakupov			X		100.00	50	31	95	83	60	55	36	47	42	43	52	56	52	63	65	0	43	60	0	28	4	800,000$
4	A.J. Greer (R)		X			100.00	45	30	95	82	73	50	25	45	40	40	50	55	50	54	59	0	50	58	0	25	2	900,000$
5	Jean-Sebastien Dea (R)	X				100.00	50	35	95	87	53	57	25	45	48	40	50	58	50	60	63	0	50	58	0	27	1	850,000$
6	Anton Volchenkov				X	100.00	45	32	95	79	76	50	25	45	52	45	50	55	50	96	81	0	50	61	0	39	2	600,000$

	MOYENNE D’ÉQUIPE					99.50	55	33	92	84	64	59	40	50	49	47	53	60	53	71	70	0	46	64

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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	Louis Domingue	100.00	77	36	78	78	74	75	78	77	76	67	61	65	65	0	50	72	0
2	Malcolm Subban	100.00	77	37	78	79	73	75	78	76	75	65	60	61	63	0	45	72	0
Rayé
1	Stuart Skinner (R)	100.00	69	41	62	70	74	65	73	69	72	69	71	37	50	0	50	67	0
2	Landon Bow (R)	100.00	60	25	81	79	56	60	60	60	60	65	55	53	49	0	50	57	0

	MOYENNE D’ÉQUIPE	100.00	71	35	75	77	69	69	72	71	71	67	62	54	57	0	49	67

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jack Capuano	84	68	65	74	81	78	71	USA	53	1	2,500,000$

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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	GA	TA	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Trevor Zegras	Rapido (CLB)	C	48	27	41	68	5	88	0	110	96	236	66	168	11.44%	22	1100	22.93	20	31	51	34	139	0	1	1	6	90	4	2	59.43%	1156	94	42	0	1	1.24	4	8	8	6	2
2	Cody Glass	Rapido (CLB)	C	74	26	35	61	-13	18	0	93	85	244	83	165	10.66%	34	1254	16.95	16	25	41	31	132	0	0	0	8	68	2	3	51.16%	1591	124	47	0	1	0.97	5	9	5	4	6
3	Daniel Sprong	Rapido (CLB)	RW	72	20	23	43	-3	6	0	56	54	225	70	145	8.89%	13	1084	15.06	13	14	27	23	131	0	0	0	0	0	5	1	45.83%	72	82	30	0	0	0.79	0	0	3	1	7
4	Kevin Connauton	Rapido (CLB)	D	46	12	27	39	-1	12	0	90	79	106	45	49	11.32%	75	1154	25.09	10	19	29	18	127	0	1	1	5	86	1	3	0.00%	0	35	66	0	0	0.68	0	0	2	1	7
5	Kailer Yamamoto	BlueJackets	RW	31	16	21	37	-3	12	0	43	41	191	43	82	8.38%	21	674	21.75	11	17	28	21	80	1	0	1	6	63	2	2	53.70%	108	80	40	1	0	1.10	2	6	3	3	3
6	Slater Koekkoek	Rapido (CLB)	D	42	11	26	37	-3	47	5	105	91	124	46	51	8.87%	67	1090	25.96	8	16	24	22	109	0	0	0	3	80	2	1	0.00%	0	45	48	0	0	0.68	0	0	2	3	1
7	Nicholas Merkley	Rapido (CLB)	RW	71	17	19	36	5	20	0	76	40	154	52	111	11.04%	30	919	12.95	10	8	18	11	40	0	0	0	2	37	3	0	42.22%	90	75	33	0	1	0.78	0	0	2	3	3
8	Jason Chimera	Rapido (CLB)	LW	47	14	20	34	0	6	0	42	43	136	36	72	10.29%	28	938	19.96	12	16	28	21	119	0	0	0	2	26	0	1	53.97%	63	56	18	0	0	0.72	0	2	2	0	3
9	Benoit Pouliot	Rapido (CLB)	LW	71	14	16	30	-6	18	0	75	64	145	63	99	9.66%	26	1091	15.37	7	9	16	15	115	0	0	0	0	11	2	1	58.06%	62	60	48	0	0	0.55	0	2	1	2	2
10	Adam McQuaid	Rapido (CLB)	D	43	9	21	30	0	32	0	76	77	123	54	64	7.32%	60	1131	26.32	9	15	24	14	113	0	0	0	5	93	3	0	100.00%	1	49	83	0	0	0.53	0	0	1	4	3
11	Mike Ribeiro	Rapido (CLB)	C	61	8	14	22	6	6	0	39	59	120	38	84	6.67%	20	797	13.07	3	3	6	8	37	0	0	0	2	18	1	0	49.91%	547	50	24	0	0	0.55	0	0	0	1	2
12	Michael Cammalleri	Rapido (CLB)	LW	74	7	15	22	10	4	0	51	32	160	54	101	4.38%	21	925	12.51	2	7	9	7	45	1	0	1	3	30	3	0	42.00%	50	70	30	0	0	0.48	0	0	1	3	2
13	Jacob Bernard-Docker	Rapido (CLB)	D	53	10	11	21	0	22	0	42	45	97	36	31	10.31%	36	946	17.85	9	5	14	12	74	1	0	1	4	53	1	1	0.00%	0	28	36	0	0	0.44	0	0	1	4	1
14	Andrei Markov	Rapido (CLB)	D	77	4	15	19	-11	4	0	32	54	90	43	38	4.44%	65	1274	16.55	4	7	11	6	85	0	1	1	2	53	0	0	100.00%	1	22	49	0	0	0.30	0	0	1	0	1
15	Cody Goloubef	Rapido (CLB)	D	59	4	11	15	-1	12	0	91	62	84	35	34	4.76%	63	1122	19.03	3	7	10	9	92	0	0	0	0	64	0	0	0.00%	0	27	80	0	0	0.27	0	1	0	0	1
16	Gemel Smith	Rapido (CLB)	C	82	7	4	11	-6	0	0	38	48	161	53	108	4.35%	23	791	9.65	2	0	2	3	12	0	1	1	3	25	2	1	54.52%	310	66	25	0	0	0.28	0	0	1	1	1
17	Matthew Peca	Rapido (CLB)	C	40	1	4	5	-5	4	0	29	24	73	22	56	1.37%	15	427	10.69	0	0	0	0	1	0	2	2	3	43	1	0	50.00%	134	31	10	0	0	0.23	0	0	0	1	1
18	Stephane Robidas	Rapido (CLB)	D	47	0	3	3	1	6	0	12	28	17	12	21	0.00%	30	584	12.43	0	1	1	0	8	0	0	0	0	11	0	0	0.00%	0	4	32	0	0	0.10	0	0	0	1	0
19	A.J. Greer	Rapido (CLB)	LW	29	2	1	3	-4	0	0	13	9	28	7	12	7.14%	3	269	9.31	0	0	0	0	0	0	0	0	0	0	0	1	50.00%	6	7	11	0	0	0.22	0	0	0	0	1
20	Eric Gelinas	Rapido (CLB)	D	37	0	3	3	-5	6	0	9	18	17	8	11	0.00%	18	369	9.98	0	0	0	0	3	0	0	0	1	20	0	0	0.00%	0	3	22	0	0	0.16	0	0	0	0	0
21	Anton Volchenkov	Rapido (CLB)	D	15	0	1	1	6	0	0	4	9	13	8	7	0.00%	10	208	13.88	0	0	0	0	0	0	0	0	1	8	0	0	0.00%	0	4	7	0	0	0.10	0	0	0	0	0
22	Jean-Sebastien Dea	Rapido (CLB)	C	15	0	1	1	2	0	0	6	6	0	1	3	0.00%	0	83	5.59	0	1	1	0	7	0	0	0	0	1	0	0	63.64%	11	1	2	0	0	0.24	0	0	0	0	0
23	Nail Yakupov	Rapido (CLB)	RW	30	0	0	0	-2	2	0	14	9	41	10	23	0.00%	7	267	8.91	0	0	0	0	2	0	0	0	0	0	0	0	50.00%	6	14	11	0	0	0.00	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1164	209	332	541	-28	325	5	1146	1073	2585	885	1535	8.09%	687	18506	15.90	139	201	340	255	1482	3	6	9	56	891	32	17	53.35%	4208	1027	794	1	3	0.58	11	28	33	38	47

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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	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Malcolm Subban	Rapido (CLB)	49	26	14	7	0.934	2.06	2889	4	1	99	1495	803	7	3	0.611	18	49	0	8	9	3
2	Louis Domingue	Rapido (CLB)	24	19	3	1	0.934	1.98	1337	0	0	44	664	338	3	0	0.846	13	21	70	5	3	0
Statistiques d’équipe totales ou en moyenne			73	45	17	8	0.934	2.03	4226	4	1	143	2159	1141	10	3	0.710	31	70	70	13	12	3

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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	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 10	Link
A.J. Greer	Rapido (CLB)	LW	25	1996-01-01	Yes	210 Lbs	6 ft3	No	No	No	2	Pro & Farm	900,000$

	Rapido
	GP: 82 \| W: 50 \| L: 23 \| OTL: 9 \| P: 109 GF: 252 \| GA: 196 \| PP%: 49.68% \| PK%: 63.53% DG: Olivier Vezina \| Morale : 50 \| Moyenne d’équipe : 64