Puckéligue - Calendrier Pro Capitals

STATISTIQUE

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG
1	Clayton Keller	Capitals	C/LW/RW	78	28	40	68	37	8	0	53	276	76	208	10.14%	8	19.79	4	5	9	204	0	0	24	8	1	36.55%	145	0	0	0	0	0.88	0	1
2	Roope Hintz	Capitals	C/LW	75	32	34	66	17	16	0	58	244	68	173	13.11%	5	18.68	4	11	15	217	0	0	38	4	2	54.64%	906	0	0	0	0	0.94	0	0
3	Wyatt Johnston	Capitals	C	77	30	27	57	23	34	0	72	208	63	163	14.42%	14	20.29	4	5	9	199	0	0	15	7	0	52.83%	1270	0	0	1	0	0.73	0	0
4	Brent Burns	Capitals	D	78	10	43	53	-3	21	5	66	123	34	76	8.13%	77	20.98	3	13	16	206	0	0	91	2	0	0.00%	0	0	0	1	0	0.65	0	0
5	Rasmus Andersson	Capitals	D	76	8	37	45	-6	62	0	116	127	43	76	6.30%	123	24.13	5	7	12	192	0	0	146	0	0	0.00%	0	0	0	0	1	0.49	0	1
6	Anton Lundell	Capitals	C	75	18	21	39	15	20	0	86	166	44	92	10.84%	14	17.48	2	8	10	124	0	0	164	8	0	53.40%	1543	0	0	0	0	0.59	1	3
7	Martin Necas	Capitals	C/RW	77	22	15	37	14	39	5	124	168	52	111	13.10%	6	17.87	3	2	5	192	0	0	2	2	3	38.64%	176	0	0	0	0	0.54	0	0
8	Mats Zuccarello	Capitals	RW	69	11	26	37	3	8	0	49	201	60	131	5.47%	5	18.77	3	2	5	173	0	0	1	4	2	39.09%	110	0	0	0	0	0.57	0	3
9	Ryan McDonagh	Capitals	D	77	8	28	36	15	28	0	97	94	19	57	8.51%	133	23.33	3	2	5	195	0	0	161	0	0	0.00%	0	0	0	0	0	0.40	0	0
10	Jan Rutta	Capitals	D	77	6	22	28	11	34	0	81	62	20	30	9.68%	82	16.92	0	0	0	8	0	0	147	2	0	0.00%	0	0	0	0	0	0.43	0	0
11	Nic Dowd	Capitals	C/RW	77	14	14	28	-8	16	0	142	152	42	111	9.21%	27	14.92	0	0	0	23	0	0	160	3	2	56.02%	1437	0	0	0	0	0.49	0	0
12	Ian Cole	Capitals	D	75	4	22	26	13	79	35	116	53	21	48	7.55%	74	16.78	0	0	0	11	0	0	153	1	0	0.00%	0	0	0	0	0	0.41	0	0
13	Adam Fantilli (R)	Capitals	C	60	12	10	22	1	16	0	63	101	33	50	11.88%	2	14.78	0	3	3	128	0	0	0	1	0	48.44%	64	0	0	0	0	0.50	0	0
14	Ryan Pulock	Capitals	D	70	1	18	19	1	37	5	132	100	25	70	1.00%	82	18.64	0	4	4	185	0	0	70	0	0	0.00%	0	0	0	0	0	0.29	0	0
15	Alexey Toropchenko	Capitals	RW	77	7	11	18	-12	20	0	66	120	30	81	5.83%	10	12.08	1	0	1	37	0	0	75	3	0	23.19%	69	0	0	0	0	0.39	0	0
16	Blake Lizotte	Capitals	C	76	6	5	11	-14	10	0	38	76	31	68	7.89%	8	12.23	0	0	0	4	0	0	160	1	0	47.46%	354	0	0	0	0	0.24	0	0
17	Eric Robinson	Capitals	LW/RW	64	2	5	7	-13	2	0	46	52	14	39	3.85%	6	10.52	0	1	1	8	0	0	64	1	0	45.65%	46	0	0	0	0	0.21	1	2
18	Daniil Gushchin (R)	Capitals	LW	45	3	4	7	0	2	0	7	31	7	27	9.68%	2	7.98	0	0	0	8	0	0	20	1	1	29.41%	34	0	0	0	0	0.39	0	0
19	Connor Zary	Capitals	C	35	3	4	7	-2	0	0	12	52	7	28	5.77%	1	11.85	0	0	0	0	0	0	0	0	0	50.00%	28	0	0	0	0	0.34	0	0
20	Sheldon Dries	Bears (WAS)	C/LW	45	3	3	6	2	2	0	26	34	6	17	8.82%	2	7.32	0	0	0	2	0	0	7	0	0	51.46%	309	0	0	0	0	0.36	1	3
21	Andrew Cogliano	Bears (WAS)	LW/RW	1	0	1	1	2	0	0	0	0	0	1	0.00%	0	16.63	0	1	1	1	0	0	1	0	0	66.67%	3	0	0	0	0	1.20	0	0
22	Matthew Benning	Bears (WAS)	D	9	0	1	1	1	4	0	4	0	1	0	0.00%	2	4.97	0	0	0	0	0	0	6	0	0	0.00%	0	0	0	0	0	0.45	0	0
23	Kyle MacLean	Bears (WAS)	LW	38	0	1	1	2	16	0	34	18	3	13	0.00%	0	8.63	0	0	0	3	0	0	0	0	0	54.17%	24	0	0	0	0	0.06	0	0
24	Owen Sillinger	Bears (WAS)	C	11	0	0	0	2	0	0	5	1	0	1	0.00%	0	7.76	0	0	0	0	0	0	0	0	0	0.00%	1	0	0	0	0	0.00	0	0
25	Carl Dahlstrom	Bears (WAS)	D	4	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.35	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
26	Justin Schultz	Bears (WAS)	D	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.57	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
Moyenne d'équipe		1447	228	392	620	101	474	50	1493	2459	699	1671	9.27%	683	16.43	32	64	96	2130	0	0	1515	48	11	52.05%	6519	0	0	2	1	0.52	3	13

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	Stuart Skinner	Capitals	62	37	20	5	0.916	2.41	3707	2	6	149	1782	1	0.700	10	62	15	9	6	6
2	Frederik Andersen	Capitals	1	0	0	0	0.812	5.00	36	0	0	3	16	0	0.000	0	0	35	0	0	0
Moyenne d'équipe			63	37	20	5	0.915	2.44	3744	2	6	152	1798	1	0.700	10	62	50	9	6	6

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

#	VS Équipe	GP	W	L	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%	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	GF%	SH%	SV%	PDO	PDOBRK
1	Sabres	3	3	0	0	0	0	0	7	3	4	6	1.000	7	13	20	0	1	4	1	2	0	103	40	23	40	0	55	24	14	47	11	3	27.27%	5	0	100.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	79	57	62	20	37	21	57.1%	6.8%	94.5%	101.3	DULL
2	Bruins	5	4	1	0	0	0	0	14	7	7	8	0.800	14	26	40	0	0	4	3	7	0	142	41	63	38	0	108	27	16	92	18	1	5.56%	8	1	87.50%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	133	96	102	34	64	33	68.4%	9.9%	93.5%	103.4	LUCKY
3	Rangers	5	3	1	0	1	0	0	14	7	7	7	0.700	14	24	38	0	2	0	10	4	0	179	46	76	57	0	111	26	28	84	16	1	6.25%	14	0	100.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	135	96	103	36	63	32	65.0%	7.8%	93.7%	101.5	DULL
4	Predators	1	0	1	0	0	0	0	4	8	-4	0	0.000	4	8	12	0	0	1	2	1	0	43	12	17	14	0	30	8	6	22	7	2	28.57%	3	1	66.67%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	27	19	19	6	12	6	22.2%	9.3%	73.3%	82.6	FUN
5	Red Wings	4	3	1	0	0	0	0	15	13	2	6	0.750	15	29	44	0	0	6	7	2	0	122	37	49	36	0	105	29	14	83	7	1	14.29%	6	2	66.67%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	105	76	82	27	52	27	56.0%	12.3%	87.6%	99.9	FUN
6	Jets	1	0	1	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	1	0	0	0	27	8	9	10	0	24	13	4	21	5	0	0.00%	1	0	100.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	24	17	22	6	12	6	25.0%	3.7%	87.5%	91.2	Unlucky
7	Hurricanes	5	0	4	0	0	0	1	4	15	-11	1	0.100	4	7	11	0	0	1	1	2	0	138	47	51	38	5	150	49	16	118	18	1	5.56%	8	0	100.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	118	81	125	37	61	30	16.7%	2.9%	90.0%	92.9	Unlucky
8	Canadiens	4	3	0	0	1	0	0	13	8	5	7	0.875	13	21	34	0	0	8	2	3	0	101	42	31	28	0	111	32	53	66	10	2	20.00%	12	0	100.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	102	71	88	28	52	26	57.9%	12.9%	92.8%	105.7	LUCKY
9	Lightning	4	1	2	0	1	0	0	13	17	-4	3	0.375	13	24	37	0	0	5	6	2	0	114	40	40	34	0	136	34	20	73	15	4	26.67%	10	3	70.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	102	76	90	28	48	23	39.1%	11.4%	87.5%	98.9	FUN
10	Flyers	5	0	4	0	0	1	0	13	19	-6	2	0.200	13	24	37	1	0	4	4	4	2	155	49	48	55	7	189	67	44	108	14	1	7.14%	21	6	71.43%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	109	73	130	36	65	31	48.0%	8.4%	89.9%	98.3	Unlucky
11	Sharks	1	1	0	0	0	0	0	3	1	2	2	1.000	3	6	9	0	0	2	1	0	0	34	13	10	11	0	40	13	8	27	1	0	0.00%	4	0	100.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	23	15	22	7	13	7	75.0%	8.8%	97.5%	106.3	DULL
12	Black Hawks	2	2	0	0	0	0	0	5	3	2	4	1.000	5	8	13	0	0	2	1	2	0	61	22	20	19	0	72	20	20	42	2	0	0.00%	10	2	80.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	49	34	46	13	24	11	83.3%	8.2%	95.8%	104.0	DULL
13	Avalanche	1	1	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	1	2	1	0	22	6	10	6	0	23	7	8	20	3	0	0.00%	4	1	75.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	23	16	22	7	13	6	80.0%	18.2%	91.3%	109.5	LUCKY
14	Ducks	1	0	1	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	0	0	0	0	19	7	9	3	0	36	18	30	23	0	0	0.00%	5	0	100.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	18	11	29	7	12	6	0.0%	0.0%	88.9%	88.9	Unlucky
15	Oilers	1	0	1	0	0	0	0	1	2	-1	0	0.000	1	1	2	0	0	0	0	1	0	23	9	7	7	0	35	6	4	20	5	0	0.00%	2	1	50.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	22	16	25	7	11	6	50.0%	4.3%	94.3%	98.6	DULL
16	Senateurs	4	1	3	0	0	0	0	6	12	-6	2	0.250	6	11	17	0	1	1	1	4	0	135	52	33	50	0	127	42	18	82	13	0	0.00%	9	2	77.78%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	91	62	98	29	50	25	37.5%	4.4%	90.6%	95.0	Unlucky
17	Maple Leafs	2	1	0	0	0	0	1	9	6	3	3	0.750	9	15	24	0	0	3	3	3	0	73	23	22	24	7	64	16	11	45	6	1	16.67%	3	0	100.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	50	34	47	13	27	14	57.1%	12.3%	90.6%	103.0	FUN
18	Canucks	1	0	1	0	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	1	1	0	0	19	4	10	5	0	50	19	16	26	0	0	0.00%	8	1	87.50%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	16	9	29	8	13	6	50.0%	10.5%	94.0%	104.5	LUCKY
19	Wild	2	1	0	1	0	0	0	6	3	3	4	1.000	6	10	16	0	1	2	1	2	1	70	20	26	19	5	52	20	10	28	2	0	0.00%	5	0	100.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	51	37	45	14	24	12	66.7%	8.6%	94.2%	102.8	DULL
20	Blues	1	0	1	0	0	0	0	1	6	-5	0	0.000	1	1	2	0	0	0	1	0	0	16	4	7	5	0	35	8	6	22	4	0	0.00%	3	1	66.67%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	18	10	27	7	14	7	16.7%	6.3%	82.9%	89.1	Unlucky
21	Kings	1	0	0	1	0	0	0	3	2	1	2	1.000	3	6	9	0	0	1	1	0	1	25	5	13	6	1	26	5	0	21	1	1	100.00%	0	0	0.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	23	16	24	6	13	7	50.0%	12.0%	92.3%	104.3	LUCKY
22	Golden Knights	2	2	0	0	0	0	0	7	3	4	4	1.000	7	11	18	0	0	2	4	1	0	69	23	31	15	0	47	16	8	44	8	1	12.50%	4	1	75.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	52	36	42	14	25	12	75.0%	10.1%	93.6%	103.8	LUCKY
23	Stars	1	1	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	2	1	0	0	21	8	4	9	0	23	8	6	18	1	0	0.00%	3	1	66.67%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	26	19	20	6	13	6	100.0%	14.3%	95.7%	109.9	LUCKY
24	Flames	1	1	0	0	0	0	0	6	3	3	2	1.000	6	9	15	0	0	3	0	3	0	31	7	9	15	0	34	7	11	19	2	2	100.00%	3	2	33.33%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	26	19	20	6	13	6	80.0%	19.4%	91.2%	110.5	LUCKY
25	Devils	4	4	0	0	0	0	0	16	7	9	8	1.000	16	28	44	0	0	5	5	6	0	129	43	33	53	0	126	33	33	63	10	2	20.00%	14	3	78.57%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	102	71	88	28	49	26	77.8%	12.4%	94.4%	106.8	LUCKY
26	Panthers	3	1	2	0	0	0	0	8	11	-3	2	0.333	8	14	22	0	0	4	2	2	0	66	30	16	20	0	100	31	27	65	10	1	10.00%	10	4	60.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	59	37	79	22	40	20	50.0%	12.1%	89.0%	101.1	FUN
27	Islanders	6	3	1	1	1	0	0	14	13	1	9	0.750	14	26	40	0	1	5	3	5	1	179	61	54	62	2	203	45	35	103	21	2	9.52%	12	0	100.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	153	108	134	42	75	40	48.0%	7.8%	93.6%	101.4	DULL
28	Penguins	5	3	1	1	0	0	0	13	8	5	8	0.800	13	22	35	0	1	4	4	4	1	160	50	59	47	4	164	44	32	102	19	2	10.53%	15	2	86.67%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	121	81	115	37	66	33	64.7%	8.1%	95.1%	103.2	DULL
29	Kraken	1	0	1	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	2	0	0	0	21	12	5	4	0	31	13	4	27	1	0	0.00%	2	1	50.00%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	21	14	26	7	12	5	40.0%	9.5%	87.1%	96.6	FUN
	_Vs Division	30	13	11	2	2	1	1	74	69	5	35	0.583	74	131	205	1	4	19	27	25	4	940	296	321	312	18	943	264	188	578	98	9	9.18%	84	11	86.90%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	739	512	697	218	381	195	52.8%	7.9%	92.7%	100.6	DULL
	_Vs Conference	59	30	20	2	4	1	2	159	146	13	72	0.610	159	284	443	1	6	54	52	50	4	1796	601	598	582	25	1749	499	361	1131	188	22	11.70%	147	23	84.35%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	1465	1025	1349	422	754	387	52.7%	8.9%	91.7%	100.5	Unlucky
	_Since Last GM Reset	77	39	27	4	4	1	2	207	194	13	94	0.610	207	366	573	1	7	74	67	61	6	2297	761	785	730	31	2307	680	502	1511	230	28	12.17%	204	35	82.84%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	1891	1320	1775	551	985	504	53.0%	9.0%	91.6%	100.6	LUCKY
	Total	77	39	27	4	4	1	2	207	194	13	94	0.610	207	366	573	1	7	74	67	61	6	2297	761	785	730	31	2307	680	502	1511	230	28	12.17%	204	35	82.84%	1318	2540	51.89%	1371	2639	51.95%	645	1182	54.57%	1891	1320	1775	551	985	504	53.0%	9.0%	91.6%	100.6	LUCKY

	Puck Time
Offensive Zone	24
Neutral Zone	12
Defensive Zone	23

	Puck Time
Offensive Zone Start	2540
Neutral Zone Start	1182
Defensive Zone Start	2639

	Puck Time
With Puck	30
Without Puck	29

	Faceoffs
Faceoffs Won	3334
Faceoffs Lost	3027

	Team Average Shots after	League Average Shots after
1st Period	9.9	9.57
2nd Period	20.1	20.31
3rd Period	29.6	30.68
Overtime	30.0	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.0	0.64
2nd Period	1.8	1.65
3rd Period	2.6	2.67
Overtime	2.7	2.83


Even Strenght Goal	178
PP Goal	28
PK Goal	0
Empty Net Goal	1

	Home	Away
Win	24	20
Lost	10	17
Overtime Lost	5	1


PP Attempt	230
PP Goal	28
PK Attempt	204
PK Goal Against	35

	Home
Shots For	29.8
Shots Against	30.0
Goals For	2.7
Goals Against	2.5
Hits	19.6
Shots Blocked	8.8
Pim	6.5