Puckéligue - Calendrier Pro Black Hawks

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	Sam Reinhart	Black Hawks	LW/RW	84	55	62	117	42	26	0	128	481	127	310	11.43%	24	20.17	13	14	27	234	0	0	51	9	3	41.33%	150	0	0	0	5	1.38	1	7
2	Nazem Kadri	Black Hawks	C	84	27	78	105	43	20	0	104	290	91	202	9.31%	7	19.40	4	16	20	234	0	0	16	5	0	56.07%	2217	0	0	0	0	1.29	1	4
3	Nikita Kucherov	Black Hawks	LW/RW	84	46	58	104	13	16	0	52	380	116	285	12.11%	11	19.91	11	23	34	247	0	0	29	5	3	36.23%	138	0	0	1	1	1.24	0	3
4	Alex Tuch	Black Hawks	LW/RW	84	41	50	91	18	63	5	148	366	92	233	11.20%	19	20.12	7	12	19	214	0	0	136	4	1	40.43%	141	0	0	0	2	1.08	0	2
5	Bryan Rust	Black Hawks	LW/RW	85	30	39	69	4	16	0	102	336	85	243	8.93%	17	18.76	5	3	8	128	0	0	0	4	1	27.12%	118	0	0	0	1	0.87	1	5
6	Sean Couturier	Black Hawks	C	79	18	44	62	3	18	0	77	223	53	159	8.07%	20	20.11	4	11	15	190	0	0	142	3	3	58.50%	2135	0	0	0	0	0.78	0	0
7	Torey Krug	Black Hawks	D	84	6	53	59	-22	42	0	107	90	37	78	6.67%	107	21.08	3	17	20	220	0	0	127	0	0	0.00%	0	0	0	0	0	0.67	0	0
8	Jani Hakanpaa	Black Hawks	D	81	12	39	51	5	121	15	249	122	38	63	9.84%	128	22.58	7	10	17	204	0	0	167	3	1	0.00%	0	0	0	0	0	0.56	0	0
9	Tyler Bertuzzi	Black Hawks	LW/RW	82	18	28	46	-2	30	0	117	216	46	120	8.33%	6	16.94	3	8	11	165	0	0	0	4	0	36.94%	111	0	0	0	0	0.66	0	0
10	T.J. Brodie	Black Hawks	D	84	9	32	41	11	10	0	33	103	30	69	8.74%	128	23.13	1	8	9	230	0	0	227	2	0	0.00%	0	0	0	0	0	0.42	0	0
11	Trevor van Riemsdyk	Black Hawks	D	77	11	18	29	-9	26	0	28	97	28	60	11.34%	107	18.82	6	3	9	177	0	0	150	1	1	0.00%	0	0	0	0	0	0.40	0	0
12	Juho Lammikko	Black Hawks	C/LW/RW	81	9	17	26	-18	32	0	63	130	30	77	6.92%	16	15.92	0	1	1	7	0	0	169	1	2	53.45%	1551	0	0	0	0	0.40	0	0
13	Luke Schenn	Black Hawks	D	84	7	17	24	28	89	5	256	64	17	42	10.94%	102	19.44	1	0	1	51	0	0	142	1	0	0.00%	0	0	0	0	0	0.29	0	0
14	Louis Crevier (R)	Black Hawks	D	81	7	17	24	8	28	0	65	59	23	47	11.86%	121	19.28	4	2	6	149	0	0	96	0	1	0.00%	0	0	0	0	0	0.31	0	0
15	Ben Harpur	IceHogs (CHI)	D	65	5	14	19	-9	47	15	117	31	12	23	16.13%	67	16.15	0	1	1	19	0	0	69	1	0	0.00%	0	0	0	0	0	0.36	0	0
16	Noah Cates	Black Hawks	LW	69	10	8	18	-1	0	0	33	90	20	71	11.11%	12	10.77	0	0	0	1	0	0	137	0	0	41.43%	70	0	0	0	0	0.48	0	0
17	Zach Sanford	Black Hawks	C/LW/RW	82	3	9	12	-17	21	5	99	103	37	81	2.91%	16	10.86	0	1	1	9	0	0	148	1	1	33.62%	351	0	0	0	0	0.27	0	0
18	Drake Caggiula	IceHogs (CHI)	LW/RW	62	5	5	10	-6	22	0	24	61	14	47	8.20%	10	8.30	1	0	1	1	0	0	16	0	0	44.83%	29	0	0	0	0	0.39	0	0
19	William Carrier	Black Hawks	LW	63	3	6	9	-3	26	0	60	71	18	36	4.23%	9	7.99	0	1	1	3	0	0	1	0	0	26.32%	38	0	0	0	0	0.36	0	0
20	Sebastian AhoD	IceHogs (CHI)	D	8	0	2	2	-4	2	0	11	2	2	5	0.00%	12	18.60	0	1	1	10	0	0	13	0	0	0.00%	0	0	0	0	0	0.27	0	0
21	Chris Tierney	IceHogs (CHI)	C/LW	45	0	2	2	-4	0	0	4	8	4	12	0.00%	3	3.25	0	0	0	0	0	0	13	0	0	43.24%	148	0	0	0	0	0.27	0	0
22	Samuel Poulin (R)	Black Hawks	C/LW	35	0	1	1	-12	11	5	25	17	1	12	0.00%	4	6.59	0	0	0	1	0	0	2	0	0	53.09%	194	0	0	0	0	0.09	0	0
23	Jaret Anderson-Dolan	IceHogs (CHI)	C/LW	2	0	0	0	-2	0	0	0	1	0	1	0.00%	0	4.26	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
24	Garrett Pilon	IceHogs (CHI)	C	2	0	0	0	-1	0	0	0	2	0	0	0.00%	0	5.59	0	0	0	0	0	0	0	0	0	47.83%	23	0	0	0	0	0.00	0	0
25	Brendan Lemieux	IceHogs (CHI)	LW/RW	4	0	0	0	-2	0	0	5	3	0	0	0.00%	0	7.66	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0.00	0	0
26	Ryan Reaves	IceHogs (CHI)	RW	3	0	0	0	0	2	0	3	0	2	0	0.00%	1	5.41	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
27	William Lockwood	IceHogs (CHI)	RW	2	0	0	0	-2	0	0	1	0	0	0	0.00%	0	3.98	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0.00	0	0
28	Ethan Del Mastro (R)	IceHogs (CHI)	D	3	0	0	0	1	4	0	12	1	0	1	0.00%	0	15.90	0	0	0	1	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
Moyenne d'équipe		1599	322	599	921	62	672	50	1923	3347	923	2277	9.62%	947	16.94	70	132	202	2507	0	0	1861	44	17	52.76%	7416	0	0	1	9	0.68	3	21

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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Kaapo Kahkonen	Black Hawks	69	36	19	10	0.907	3.11	3936	6	1	204	2190	4	1	0.733	15	63	15	5	2	2
2	Chris Driedger	IceHogs (CHI)	10	3	5	1	0.909	3.23	558	2	1	30	329	0	0	0.667	3	10	3	0	0	1
3	Hunter Miska	Black Hawks	11	2	4	1	0.865	4.62	416	0	0	32	237	0	0	0.000	0	8	66	1	0	0
4	Dustin Tokarski	IceHogs (CHI)	3	0	3	0	0.873	4.38	178	0	0	13	102	0	0	0.000	0	3	0	0	0	0
Moyenne d'équipe			93	41	31	12	0.902	3.29	5090	8	2	279	2858	4	1	0.722	18	84	84	6	2	3

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	1	0	1	0	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	0	3	0	0	26	12	11	3	0	35	9	10	19	2	2	100.00%	5	1	80.00%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	19	12	26	8	13	6	25.0%	11.5%	88.6%	100.1	FUN
2	Bruins	1	1	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	1	0	2	0	22	9	7	6	0	29	10	12	18	3	3	100.00%	6	1	83.33%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	20	12	26	7	12	5	0.0%	13.6%	93.1%	106.7	LUCKY
3	Rangers	2	2	0	0	0	0	0	13	9	4	4	1.000	13	22	35	0	0	3	5	5	0	87	25	36	26	0	79	23	35	33	8	3	37.50%	9	2	77.78%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	51	36	43	14	25	12	58.8%	14.9%	88.6%	103.6	FUN
4	Predators	5	1	3	0	1	0	0	18	21	-3	3	0.300	18	31	49	0	0	5	9	4	0	156	48	62	46	0	212	78	32	99	14	5	35.71%	16	3	81.25%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	111	76	125	37	62	29	41.9%	11.5%	90.1%	101.6	FUN
5	Red Wings	2	2	0	0	0	0	0	8	4	4	4	1.000	8	15	23	0	0	2	1	5	0	86	21	27	38	0	48	20	2	47	8	2	25.00%	1	0	100.00%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	49	36	44	14	25	13	60.0%	9.3%	91.7%	101.0	LUCKY
6	Jets	5	4	1	0	0	0	0	24	14	10	8	0.800	24	42	66	1	0	10	7	7	0	185	63	64	58	0	150	46	37	106	18	6	33.33%	15	3	80.00%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	119	83	115	35	64	32	62.1%	13.0%	90.7%	103.6	FUN
7	Hurricanes	1	1	0	0	0	0	0	5	4	1	2	1.000	5	9	14	0	0	1	2	2	0	40	8	8	24	0	46	16	12	20	4	1	25.00%	6	1	83.33%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	22	15	26	6	11	5	57.1%	12.5%	91.3%	103.8	LUCKY
8	Capitals	2	0	2	0	0	0	0	3	5	-2	0	0.000	3	5	8	0	0	2	1	0	0	72	15	30	27	0	61	15	4	33	10	2	20.00%	2	0	100.00%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	46	32	49	14	24	12	16.7%	4.2%	91.8%	96.0	DULL
9	Canadiens	2	1	0	0	0	0	1	6	5	1	3	0.750	6	12	18	0	0	1	4	1	0	91	27	32	24	11	65	16	17	50	6	1	16.67%	6	1	83.33%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	49	34	48	16	27	13	55.6%	6.6%	92.3%	98.9	DULL
10	Lightning	1	1	0	0	0	0	0	6	2	4	2	1.000	6	11	17	0	0	1	4	1	0	47	14	14	19	0	31	12	13	25	7	5	71.43%	4	1	75.00%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	23	15	25	7	11	5	50.0%	12.8%	93.5%	106.3	LUCKY
11	Flyers	2	1	0	0	0	0	1	10	10	0	3	0.750	10	18	28	0	0	1	5	4	0	74	18	26	27	6	87	25	22	30	3	0	0.00%	11	2	81.82%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	43	29	55	15	25	11	55.6%	13.5%	88.5%	102.0	FUN
12	Sharks	4	3	0	0	1	0	0	18	9	9	7	0.875	18	34	52	0	1	4	7	7	0	169	49	59	61	0	107	27	29	83	14	1	7.14%	11	2	81.82%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	101	71	88	29	51	26	70.8%	10.7%	91.6%	102.2	LUCKY
13	Avalanche	5	0	4	1	0	0	0	15	23	-8	2	0.200	15	27	42	0	0	7	4	3	1	179	59	52	67	1	181	48	48	115	16	3	18.75%	23	9	60.87%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	113	76	121	38	66	31	46.2%	8.4%	87.3%	95.7	Unlucky
14	Ducks	4	1	2	0	0	0	1	13	14	-1	3	0.375	13	24	37	0	0	6	4	3	0	135	54	36	37	11	144	41	22	90	9	2	22.22%	9	1	88.89%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	88	59	103	31	52	25	45.8%	9.6%	90.3%	99.9	FUN
15	Oilers	4	0	2	2	0	0	0	10	11	-1	4	0.500	10	19	29	0	0	2	4	2	2	146	36	44	56	10	168	43	25	94	10	2	20.00%	10	3	70.00%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	90	63	105	30	52	23	50.0%	6.8%	93.5%	100.3	DULL
16	Senateurs	1	1	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	3	0	0	0	26	8	7	11	0	41	15	8	17	5	1	20.00%	4	1	75.00%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	23	16	23	7	12	6	66.7%	11.5%	95.1%	106.7	LUCKY
17	Maple Leafs	1	1	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	0	1	1	0	35	14	7	14	0	33	7	4	26	4	1	25.00%	1	0	100.00%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	25	17	22	8	12	5	50.0%	5.7%	97.0%	102.7	DULL
18	Canucks	4	1	2	0	0	1	0	14	14	0	4	0.500	14	25	39	0	0	5	5	3	1	144	41	57	45	4	130	36	20	105	12	1	8.33%	10	3	70.00%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	90	62	101	29	52	26	54.2%	9.7%	89.2%	99.0	FUN
19	Wild	5	2	2	0	1	0	0	15	18	-3	5	0.500	15	26	41	0	0	8	4	3	0	190	65	52	73	0	166	52	55	101	11	2	18.18%	24	4	83.33%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	120	84	120	37	62	29	48.1%	7.9%	89.2%	97.1	Unlucky
20	Blues	5	1	2	0	1	0	1	16	21	-5	4	0.400	16	26	42	0	0	7	6	3	0	184	66	62	52	7	181	54	32	102	13	4	30.77%	14	3	78.57%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	106	73	133	37	64	30	40.0%	8.7%	88.4%	97.1	Unlucky
21	Kings	4	0	3	0	1	0	0	10	17	-7	1	0.125	10	17	27	0	0	2	4	4	0	163	57	45	58	3	145	40	12	91	14	0	0.00%	6	1	83.33%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	97	68	94	28	52	26	38.5%	6.1%	88.3%	94.4	Unlucky
22	Golden Knights	4	2	2	0	0	0	0	12	11	1	4	0.500	12	19	31	0	1	4	3	5	0	139	42	47	50	0	115	46	34	85	13	2	15.38%	16	3	81.25%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	87	58	102	32	50	23	55.6%	8.6%	90.4%	99.1	Unlucky
23	Stars	5	5	0	0	0	0	0	22	13	9	10	1.000	22	39	61	0	0	7	5	10	0	169	50	58	61	0	148	39	41	90	15	1	6.67%	15	2	86.67%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	115	79	118	38	65	33	65.6%	13.0%	91.2%	104.2	LUCKY
24	Flames	4	0	4	0	0	0	0	9	16	-7	0	0.000	9	16	25	0	0	1	5	3	0	151	37	66	48	0	115	45	28	85	13	3	23.08%	14	6	57.14%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	95	66	93	28	51	24	37.5%	6.0%	86.1%	92.0	Unlucky
25	Devils	2	0	1	1	0	0	0	6	7	-1	2	0.500	6	10	16	0	0	5	0	0	1	78	22	20	35	1	69	17	16	45	6	0	0.00%	8	2	75.00%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	53	39	43	13	24	12	54.5%	7.7%	89.9%	97.5	Unlucky
26	Panthers	2	1	0	0	0	0	1	10	8	2	3	0.750	10	19	29	0	0	4	4	2	0	77	20	27	27	6	67	16	4	44	7	3	42.86%	2	0	100.00%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	45	31	52	15	27	12	46.7%	13.0%	88.1%	101.0	FUN
27	Islanders	1	0	0	0	1	0	0	4	5	-1	1	0.500	4	8	12	0	0	2	2	0	0	42	13	12	16	1	34	5	4	25	4	1	25.00%	2	0	100.00%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	25	17	23	7	14	7	37.5%	9.5%	85.3%	94.8	FUN
28	Penguins	1	0	0	0	1	0	0	4	5	-1	1	0.500	4	6	10	0	0	1	0	3	0	32	8	11	13	0	35	11	6	15	7	1	14.29%	3	1	66.67%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	23	16	24	7	13	6	42.9%	12.5%	85.7%	98.2	FUN
29	Kraken	4	2	0	1	0	1	0	18	10	8	8	1.000	18	31	49	0	0	5	6	5	3	152	55	35	57	7	137	47	37	67	19	6	31.58%	16	3	81.25%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	97	66	94	30	52	26	63.2%	11.8%	92.7%	104.5	LUCKY
	_Vs Division	30	13	12	1	3	0	1	110	110	0	32	0.533	110	191	301	1	0	44	35	30	1	1063	351	350	357	8	1038	317	245	613	87	21	24.14%	107	24	77.57%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	687	472	735	224	387	188	50.9%	10.3%	89.4%	99.8	FUN
	_Vs Conference	62	22	27	4	5	2	2	214	212	2	63	0.508	214	376	590	1	2	73	73	62	7	2262	722	739	769	43	2099	642	452	1313	191	38	19.90%	199	46	76.88%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	1435	989	1518	465	803	392	51.5%	9.5%	89.9%	99.4	FUN
	_Since Last GM Reset	84	34	31	5	7	2	5	300	285	15	94	0.560	300	532	832	1	2	100	105	88	8	3097	956	1014	1079	68	2859	859	621	1760	275	64	23.27%	269	59	78.07%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	1959	1356	2056	630	1084	531	51.1%	9.7%	90.0%	99.7	FUN
	Total	84	34	31	5	7	2	5	300	285	15	94	0.560	300	532	832	1	2	100	105	88	8	3097	956	1014	1079	68	2859	859	621	1760	275	64	23.27%	269	59	78.07%	1749	3203	54.61%	1543	2860	53.95%	753	1426	52.81%	1959	1356	2056	630	1084	531	51.1%	9.7%	90.0%	99.7	FUN

	Puck Time
Offensive Zone	23
Neutral Zone	12
Defensive Zone	24

	Puck Time
Offensive Zone Start	3203
Neutral Zone Start	1426
Defensive Zone Start	2860

	Puck Time
With Puck	29
Without Puck	30

	Faceoffs
Faceoffs Won	4045
Faceoffs Lost	3444

	Team Average Shots after	League Average Shots after
1st Period	11.4	9.57
2nd Period	23.5	20.31
3rd Period	36.3	30.68
Overtime	37.1	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.2	0.64
2nd Period	2.4	1.65
3rd Period	3.5	2.67
Overtime	3.6	2.83


Even Strenght Goal	235
PP Goal	64
PK Goal	0
Empty Net Goal	1

	Home	Away
Win	20	21
Lost	14	17
Overtime Lost	8	4


PP Attempt	275
PP Goal	64
PK Attempt	269
PK Goal Against	59

	Home
Shots For	36.9
Shots Against	34.0
Goals For	3.6
Goals Against	3.4
Hits	21.0
Shots Blocked	10.2
Pim	7.4