Association Québécoise de Hockey Simulé

Association Québécoise de Hockey Simulé - Grizzlies

Home
Main
Pro League
Farm League
League
- Coaches
- Transactions
- Waivers
- Team/GM
- Trade History
- Prospects
- RSS Feed
- Unassigned
  - Players
  - Goalies
- Available For Trade
  - Players
  - Goalies
- Free Agents
  - Players
  - Goalies
History
Team's Link
- Pro Team
  - Conférence Canadienne
  - Conférence Américaine
- Farm Team
  - Conference 1
    - Bandits
    - CoolFm
    - Farmers
    - Goons
    - Grizzlies
    - Hunters
    - Husky
    - Igloos
    - Marlies
    - Marmots
    - Rockets
    - Smirnoff Ice
    - TigersCats
    - Warriors
    - Xpress
  - Conference 2
    - Barracudas
    - Bayou
    - Chiwawa
    - Outlaws
    - Predateurs
    - Raptors
    - Saguenéens
    - Scorpions
    - Snowbirds
    - Spartans
    - Supreme
    - Thugs
    - Twins
    - Vandals
    - Vipers
    - Wolves
Search
Legacy Pages
Help
- Latest STHS Client
- STHS Client Manual

Grizzlies

GP: 73 | W: 29 | L: 32 | OTL: 12 | P: 70
GF: 233 | GA: 249 | PP%: 14.36% | PK%: 78.21%
GM : Jonathan Mattson | Morale : 90 | Team Overall : 56
Next Games #1122 vs Farmers

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Edmonton Oilers
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Show or Hide Column

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Zac Dalpe	X				100.00	63	45	92	79	68	50	40	53	30	48	58	56	66	93	80	0	90	57	0
2	Patrik Berglund		X			100.00	50	45	95	73	84	50	40	45	30	40	50	55	50	95	82	0	90	54	0
3	Jordan Nolan			X		100.00	50	45	95	73	82	50	40	45	30	40	50	55	50	94	81	0	90	54	0
4	J.C. Beaudin (R)	X				100.00	50	45	95	77	63	50	40	45	30	40	50	55	50	86	73	0	90	53	0
5	Lias Andersson	X				100.00	50	45	95	78	60	50	40	45	30	40	50	55	50	84	71	0	90	53	0
6	David Kase (R)			X		100.00	50	45	95	80	49	50	40	45	30	40	50	55	50	86	73	0	90	52	0
7	Mason Geertsen				X	100.00	50	45	95	72	82	50	40	45	30	40	50	55	50	88	75	0	90	58	0
8	Egor Yakovlev				X	100.00	50	45	95	77	56	50	40	45	30	40	50	55	50	92	79	0	90	57	0
9	Joshua Jacobs (R)				X	100.00	50	45	95	76	65	50	40	45	30	40	50	55	50	87	74	0	90	57	0
Scratches

	TEAM AVERAGE					100.00	51	45	95	76	68	50	40	46	30	41	51	55	52	89	76	0	90	55

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Ben Bishop	100.00	70	40	40	92	65	65	65	65	65	65	65	93	89	0	90	60	0
2	Jean-Francois Berube	100.00	70	40	40	81	65	65	65	65	65	65	65	99	78	0	90	59	0
Scratches
1	Alexander Salak	100.00	70	40	40	84	65	65	65	65	65	65	65	90	81	0	90	59	0
2	Andrey Makarov	100.00	70	40	40	81	65	65	65	65	65	65	65	84	74	0	90	58	0

	TEAM AVERAGE	100.00	70	40	40	85	65	65	65	65	65	65	65	92	81	0	90	59

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Claude Julien	65	65	65	65	97	72	46	CAN	63	2	1,500,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Vasily Podkolzin	Edmonton Oilers	RW	51	31	28	59	-6	15	5	55	41	273	73	151	11.36%	18	819	16.08	5	6	11	25	66	0	0	3	29	3	3	28.79%	66	69	20	0	1	1.44	0	2	1	0	8	5	4
2	Ryan Kuffner	Edmonton Oilers	RW	71	18	10	28	-21	2	0	48	41	132	46	65	13.64%	22	1048	14.76	1	1	2	7	49	0	0	0	16	2	0	43.14%	51	19	22	0	1	0.53	0	2	0	0	5	3	3
3	Lias Andersson	Grizzlies (EDM)	C	73	10	14	24	-20	8	0	39	70	85	33	61	11.76%	16	1025	14.04	0	2	2	3	17	0	0	0	4	0	0	37.92%	828	17	25	0	0	0.47	0	2	0	0	0	5	5
4	Patrik Berglund	Grizzlies (EDM)	LW	50	11	10	21	-11	4	0	33	43	79	35	50	13.92%	20	757	15.15	2	0	2	3	57	0	0	0	5	1	1	39.29%	56	17	13	0	0	0.55	0	1	0	0	1	4	3
5	Benoit-Olivier Groulx	Edmonton Oilers	C	28	5	15	20	2	6	0	24	37	89	23	50	5.62%	21	513	18.35	0	2	2	8	36	0	0	0	19	1	1	41.92%	613	18	16	0	0	0.78	0	1	0	0	1	3	2
6	J.C. Beaudin	Grizzlies (EDM)	C	40	8	5	13	-1	0	0	20	29	44	13	33	18.18%	8	556	13.92	0	0	0	0	1	0	0	0	1	1	1	40.60%	298	9	13	0	0	0.47	1	2	0	0	2	4	0
7	Brandt Clarke	Edmonton Oilers	D	17	3	10	13	-9	8	0	12	19	37	6	9	8.11%	21	428	25.19	2	2	4	5	36	0	0	0	27	0	0	0.00%	0	4	19	0	0	0.61	0	0	0	0	0	0	0
8	Zac Dalpe	Grizzlies (EDM)	C	7	1	11	12	-4	2	0	19	11	22	10	19	4.55%	5	143	20.43	0	3	3	4	11	0	0	0	11	0	0	49.16%	179	8	4	1	0	1.68	0	0	0	0	1	1	0
9	David Kase	Grizzlies (EDM)	RW	27	6	5	11	-1	0	0	11	9	58	16	24	10.34%	5	345	12.78	0	0	0	0	0	0	0	0	0	1	1	63.16%	19	8	3	0	1	0.64	0	0	0	0	2	1	2
10	Joshua Jacobs	Grizzlies (EDM)	D	73	1	10	11	-25	8	0	30	47	37	14	16	2.70%	42	1240	16.99	0	1	1	3	54	0	0	0	51	1	0	0.00%	2	13	59	0	0	0.18	1	2	0	0	0	1	2
11	Brian Boyle	Edmonton Oilers	LW	19	5	5	10	-1	2	0	19	20	28	9	17	17.86%	12	379	19.99	1	2	3	4	45	0	0	3	9	0	0	33.33%	15	7	8	0	0	0.53	0	0	0	0	0	1	0
12	Morgan Geekie	Edmonton Oilers	C	5	2	6	8	1	0	0	11	14	35	8	13	5.71%	6	113	22.63	1	1	2	7	12	1	1	3	6	0	0	60.18%	113	7	3	0	0	1.41	1	1	0	0	0	0	1
13	Mason Geertsen	Grizzlies (EDM)	D	50	1	6	7	-20	0	0	23	40	34	11	10	2.94%	44	907	18.15	0	1	1	1	47	0	0	1	39	0	0	0.00%	0	11	32	0	0	0.15	0	0	0	0	2	0	1
14	Egor Yakovlev	Grizzlies (EDM)	D	73	0	7	7	-13	13	5	21	40	35	17	11	0.00%	40	1042	14.28	0	0	0	1	20	0	0	0	18	0	0	100.00%	1	5	32	0	0	0.13	1	1	0	1	0	0	5
15	Jack Quinn	Edmonton Oilers	RW	6	4	2	6	1	2	0	13	13	44	12	19	9.09%	2	137	22.85	1	0	1	5	13	0	0	0	10	1	0	37.04%	27	14	4	0	0	0.88	1	1	0	0	1	0	0
16	Jake Chelios	Edmonton Oilers	D	5	1	3	4	-3	2	0	2	1	5	1	0	20.00%	4	76	15.40	0	0	0	0	1	0	0	0	0	0	0	0.00%	0	3	1	0	0	1.04	0	0	0	0	0	1	0
17	Urho Vaakanainen	Edmonton Oilers	D	5	1	3	4	3	2	0	11	14	7	4	8	14.29%	8	128	25.77	1	0	1	1	12	0	0	0	8	0	0	0.00%	0	0	7	0	0	0.62	0	0	0	0	0	0	0
18	Stanislav Svozil	Edmonton Oilers	D	7	0	2	2	0	0	0	4	3	13	2	7	0.00%	5	175	25.14	0	1	1	1	22	0	0	0	14	0	0	0.00%	0	2	9	0	0	0.23	0	0	0	0	0	0	1
Team Total or Average				607	108	152	260	-128	74	10	395	492	1057	333	563	10.22%	299	9839	16.21	14	22	36	78	507	1	1	10	274	11	7	41.40%	2268	231	290	1	3	0.53	5	15	1	1	23	29	29

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	GA	SA	SAR	EG	PS %	PSA	ST	S1	S2
1	Joseph Woll	Edmonton Oilers	16	11	4	1	0.911	2.42	967	39	439	226	2	0.750	4	16	2	2
2	Ben Bishop	Grizzlies (EDM)	5	2	2	1	0.876	4.15	304	21	170	89	0	0.667	3	5	0	0
Team Total or Average			21	13	6	2	0.901	2.83	1272	60	609	315	2	0.714	7	21	2	2

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap
Alexander Salak	Grizzlies (EDM)	G	34	1988-10-12	No	189 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No
Andrey Makarov	Grizzlies (EDM)	G	28	1994-10-12	No	178 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No
Ben Bishop	Grizzlies (EDM)	G	36	1986-11-21	No	210 Lbs	6 ft7	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No
David Kase	Grizzlies (EDM)	RW	26	1997-01-28	Yes	169 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	4,000,000$	0$	0$	No
Egor Yakovlev	Grizzlies (EDM)	D	31	1991-10-12	No	190 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	800,000$	0$	0$	No
J.C. Beaudin	Grizzlies (EDM)	C	26	1997-03-25	Yes	193 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No
Jean-Francois Berube	Grizzlies (EDM)	G	32	1991-07-13	No	177 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	5,000,000$	0$	0$	No
Jordan Nolan	Grizzlies (EDM)	RW	33	1989-10-12	No	219 Lbs	6 ft3	No	No	No	4	UFA	Pro & Farm	3,000,000$	0$	0$	No
Joshua Jacobs	Grizzlies (EDM)	D	27	1996-02-15	Yes	200 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	750,000$	0$	0$	No
Lias Andersson	Grizzlies (EDM)	C	24	1998-10-13	No	185 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No
Mason Geertsen	Grizzlies (EDM)	D	28	1995-04-19	No	227 Lbs	6 ft4	No	No	No	2	UFA	Pro & Farm	850,000$	0$	0$	No
Patrik Berglund	Grizzlies (EDM)	LW	34	1988-10-12	No	219 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	800,000$	0$	0$	No
Zac Dalpe	Grizzlies (EDM)	C	33	1989-11-01	No	197 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	2,500,000$	0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
13	30.15	196 Lbs	6 ft2	1.46	1,603,846$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				35	1	2	2
2		Lias Andersson		30	1	2	2
3		J.C. Beaudin	David Kase	25	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			35	1	2	2
2	Joshua Jacobs	Egor Yakovlev	30	1	2	2
3			25	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				55	1	2	2
2		Lias Andersson		45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2	Joshua Jacobs	Egor Yakovlev	45	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2	Joshua Jacobs	Egor Yakovlev	45	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		55	1	2	2			55	1	2	2
2		45	1	2	2	Joshua Jacobs	Egor Yakovlev	45	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2	Joshua Jacobs	Egor Yakovlev	45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
J.C. Beaudin, David Kase, Lias Andersson	J.C. Beaudin, David Kase	Lias Andersson

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Joshua Jacobs, Egor Yakovlev,	Joshua Jacobs	Egor Yakovlev,

Penalty Shots
, , , , Lias Andersson

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	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	Bandits	2	0	1	0	1	0	0	0	5	8	-3	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	5	10	15	0	0	52	81	95	8	50	418	701	797	39	68	26	4	28	6	1	16.67%	2	2	0.00%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
2	Barracudas	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	6	11	17	0	0	52	81	95	8	46	418	701	797	39	35	13	15	32	8	3	37.50%	5	0	100.00%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
3	Bayou	3	1	2	0	0	0	0	0	11	11	0	1	0	1	0	0	0	0	0	2	4	-2	2	1	1	0	0	0	0	0	9	7	2	2	0.333	11	20	31	1	0	52	81	95	8	96	418	701	797	39	68	21	20	58	11	1	9.09%	10	1	90.00%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
4	Chiwawa	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	2	1	1	4	1.000	6	9	15	0	0	52	81	95	8	60	418	701	797	39	67	29	8	41	3	0	0.00%	4	0	100.00%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
5	CoolFm	2	1	0	0	0	1	0	0	7	7	0	1	1	0	0	0	0	0	0	5	4	1	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	7	14	21	0	0	52	81	95	8	46	418	701	797	39	40	10	4	23	4	1	25.00%	2	0	100.00%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
6	Farmers	3	2	0	0	0	1	0	0	9	6	3	2	2	0	0	0	0	0	0	7	3	4	1	0	0	0	0	1	0	0	2	3	-1	5	0.833	9	17	26	0	0	52	81	95	8	68	418	701	797	39	85	35	14	52	3	1	33.33%	7	4	42.86%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
7	Goons	2	0	1	0	1	0	0	0	7	7	0	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	7	13	20	0	0	52	81	95	8	57	418	701	797	39	44	17	6	28	8	0	0.00%	3	1	66.67%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
8	Hunters	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	2	3	-1	1	0.500	2	4	6	0	0	52	81	95	8	16	418	701	797	39	17	9	9	11	3	0	0.00%	2	0	100.00%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
9	Husky	2	1	1	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	6	1	5	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	9	16	25	0	0	52	81	95	8	55	418	701	797	39	57	20	4	25	4	1	25.00%	2	1	50.00%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
10	Igloos	2	0	0	0	0	1	0	1	2	4	-2	1	0	0	0	0	1	0	0	1	2	-1	1	0	0	0	0	0	0	1	1	2	-1	2	0.500	2	3	5	0	0	52	81	95	8	33	418	701	797	39	38	8	7	35	7	0	0.00%	1	0	100.00%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
11	Marlies	4	2	1	0	0	0	1	0	18	16	2	2	2	0	0	0	0	0	0	13	6	7	2	0	1	0	0	0	1	0	5	10	-5	6	0.750	18	34	52	0	0	52	81	95	8	125	418	701	797	39	116	45	22	56	2	1	50.00%	11	1	90.91%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
12	Marmots	4	0	3	0	0	0	1	0	13	16	-3	2	0	1	0	0	0	1	0	6	6	0	2	0	2	0	0	0	0	0	7	10	-3	2	0.250	13	19	32	0	0	52	81	95	8	95	418	701	797	39	120	40	22	74	9	1	11.11%	11	3	72.73%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
13	Outlaws	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	1	2	3	0	0	52	81	95	8	19	418	701	797	39	30	10	80	8	3	0	0.00%	7	3	57.14%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
14	Predateurs	2	1	1	0	0	0	0	0	5	7	-2	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	5	8	13	0	0	52	81	95	8	49	418	701	797	39	78	20	2	27	8	2	25.00%	2	0	100.00%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
15	Raptors	2	0	1	0	0	0	1	0	6	9	-3	1	0	1	0	0	0	0	0	3	7	-4	1	0	0	0	0	0	1	0	3	2	1	2	0.500	6	8	14	0	0	52	81	95	8	55	418	701	797	39	60	17	6	39	6	1	16.67%	3	1	66.67%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
16	Rockets	4	2	2	0	0	0	0	0	18	14	4	2	2	0	0	0	0	0	0	11	5	6	2	0	2	0	0	0	0	0	7	9	-2	4	0.500	18	33	51	0	0	52	81	95	8	111	418	701	797	39	124	30	29	59	10	2	20.00%	12	3	75.00%	1	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
17	Saguenéens	2	1	1	0	0	0	0	0	7	7	0	1	0	1	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	3	1	2	2	0.500	7	13	20	0	0	52	81	95	8	55	418	701	797	39	53	23	6	29	8	0	0.00%	3	0	100.00%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
18	Scorpions	3	1	1	0	0	1	0	0	9	10	-1	2	1	0	0	0	1	0	0	7	7	0	1	0	1	0	0	0	0	0	2	3	-1	3	0.500	9	17	26	0	0	52	81	95	8	83	418	701	797	39	78	22	22	46	8	1	12.50%	6	0	100.00%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
19	Smirnoff Ice	4	0	4	0	0	0	0	0	11	17	-6	2	0	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	7	10	-3	0	0.000	11	19	30	0	0	52	81	95	8	111	418	701	797	39	131	46	22	65	4	0	0.00%	12	7	41.67%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
20	Snowbirds	2	0	2	0	0	0	0	0	5	11	-6	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	3	7	-4	0	0.000	5	10	15	0	0	52	81	95	8	61	418	701	797	39	48	15	6	21	5	0	0.00%	3	2	33.33%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
21	Spartans	2	1	1	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	6	1	5	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	7	13	20	0	0	52	81	95	8	50	418	701	797	39	49	16	21	23	5	1	20.00%	8	0	100.00%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
22	Supreme	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	7	14	21	0	0	52	81	95	8	50	418	701	797	39	79	32	14	34	4	1	25.00%	7	1	85.71%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
23	Thugs	2	0	1	0	0	1	0	0	6	9	-3	1	0	1	0	0	0	0	0	2	4	-2	1	0	0	0	0	1	0	0	4	5	-1	1	0.250	6	12	18	0	0	52	81	95	8	55	418	701	797	39	73	26	18	32	3	0	0.00%	9	3	66.67%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
24	TigersCats	4	2	1	0	0	1	0	0	16	12	4	2	1	1	0	0	0	0	0	7	8	-1	2	1	0	0	0	1	0	0	9	4	5	5	0.625	16	31	47	0	0	52	81	95	8	134	418	701	797	39	123	38	29	62	14	3	21.43%	12	1	91.67%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
	Total	73	24	32	0	2	10	3	2	233	249	-16	36	19	11	0	2	3	1	0	137	111	26	37	5	21	0	0	7	2	2	96	138	-42	70	0.479	233	424	657	2	0	52	81	95	8	1936	418	701	797	39	2022	661	470	1093	181	26	14.36%	179	39	78.21%	2	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
26	Twins	2	0	0	0	0	2	0	0	2	4	-2	1	0	0	0	0	1	0	0	1	2	-1	1	0	0	0	0	1	0	0	1	2	-1	2	0.500	2	4	6	0	0	52	81	95	8	37	418	701	797	39	47	12	13	13	5	0	0.00%	4	0	100.00%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
27	Vandals	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	4	2	2	4	1.000	7	13	20	0	0	52	81	95	8	71	418	701	797	39	49	15	10	31	3	0	0.00%	5	0	100.00%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
28	Vipers	2	1	0	0	0	0	0	1	8	7	1	1	1	0	0	0	0	0	0	7	5	2	1	0	0	0	0	0	0	1	1	2	-1	3	0.750	8	13	21	0	0	52	81	95	8	49	418	701	797	39	49	15	2	28	8	1	12.50%	1	0	100.00%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
29	Warriors	4	2	1	0	0	1	0	0	19	16	3	2	2	0	0	0	0	0	0	14	8	6	2	0	1	0	0	1	0	0	5	8	-3	5	0.625	19	36	55	1	0	52	81	95	8	134	418	701	797	39	108	28	22	65	11	2	18.18%	11	0	100.00%	1	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
30	Wolves	2	0	2	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	0	1	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	52	81	95	8	18	418	701	797	39	35	5	21	20	4	0	0.00%	8	1	87.50%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
31	Xpress	2	0	2	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	3	6	9	0	0	52	81	95	8	47	418	701	797	39	53	18	12	28	4	2	50.00%	6	4	33.33%	0	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
	_Since Last GM Reset	73	24	32	0	2	10	3	2	233	249	-16	36	19	11	0	2	3	1	0	137	111	26	37	5	21	0	0	7	2	2	96	138	-42	70	0.479	233	424	657	2	0	52	81	95	8	1936	418	701	797	39	2022	661	470	1093	181	26	14.36%	179	39	78.21%	2	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
	_Vs Conference	40	12	17	0	2	6	2	1	139	141	-2	20	11	5	0	2	1	1	0	82	58	24	20	1	12	0	0	5	1	1	57	83	-26	39	0.488	139	255	394	1	0	52	81	95	8	1082	418	701	797	39	1124	370	206	611	89	15	16.85%	94	27	71.28%	2	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
	_Vs Division	27	10	12	0	0	3	2	0	104	97	7	14	9	4	0	0	0	1	0	62	43	19	13	1	8	0	0	3	1	0	42	54	-12	27	0.500	104	189	293	1	0	52	81	95	8	778	418	701	797	39	807	262	160	433	53	10	18.87%	76	19	75.00%	2	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
73	70	L1	233	424	657	1936	2022	661	470	1093	2	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
73	24	32	2	10	3	2	233	249

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	19	11	2	3	1	0	137	111

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
37	5	21	0	7	2	2	96	138

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	6	0	1	1	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
181	26	14.36%	179	39	78.21%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
418	701	797	39	52	81	95	8

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
555	1230	45.12%	618	1309	47.21%	495	1145	43.23%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1871	1316	1452	570	1105	535

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1 - 2024-04-06	3	Grizzlies	3	Marmots	4	L			BoxScore
2 - 2024-04-07	19	Marmots	4	Grizzlies	5	W	X	X	BoxScore
4 - 2024-04-09	41	Rockets	3	Grizzlies	5	W			BoxScore
6 - 2024-04-11	53	Grizzlies	1	Marlies	7	L			BoxScore
7 - 2024-04-12	62	Grizzlies	2	Farmers	3	L	X		BoxScore
8 - 2024-04-13	73	Grizzlies	4	Warriors	5	L	X		BoxScore
9 - 2024-04-14	89	Warriors	2	Grizzlies	6	W			BoxScore
11 - 2024-04-16	112	TigersCats	4	Grizzlies	5	W			BoxScore
13 - 2024-04-18	130	Grizzlies	4	Rockets	5	L			BoxScore
14 - 2024-04-19	146	Farmers	1	Grizzlies	3	W			BoxScore
15 - 2024-04-20	154	Grizzlies	1	TigersCats	2	L	X		BoxScore
17 - 2024-04-22	176	Marlies	4	Grizzlies	5	W			BoxScore
18 - 2024-04-23	183	Grizzlies	4	Smirnoff Ice	6	L			BoxScore
20 - 2024-04-25	204	Scorpions	3	Grizzlies	4	W			BoxScore
21 - 2024-04-26	225	Grizzlies	4	Marmots	6	L			BoxScore
22 - 2024-04-27	234	Rockets	2	Grizzlies	6	W			BoxScore
24 - 2024-04-29	250	Grizzlies	2	Xpress	5	L			BoxScore
25 - 2024-04-30	264	Wolves	1	Grizzlies	0	L			BoxScore
26 - 2024-05-01	277	Grizzlies	2	Hunters	3	L	X		BoxScore
28 - 2024-05-03	299	Smirnoff Ice	4	Grizzlies	3	L			BoxScore
30 - 2024-05-05	317	Grizzlies	3	Smirnoff Ice	4	L			BoxScore
31 - 2024-05-06	330	Grizzlies	1	Twins	2	L	X		BoxScore
32 - 2024-05-07	340	TigersCats	4	Grizzlies	2	L			BoxScore
34 - 2024-05-09	357	Grizzlies	3	Goons	4	L			BoxScore
35 - 2024-05-10	371	Goons	3	Grizzlies	4	W	X		BoxScore
37 - 2024-05-12	390	Xpress	3	Grizzlies	1	L			BoxScore
39 - 2024-05-14	410	Grizzlies	3	Snowbirds	7	L			BoxScore
40 - 2024-05-15	423	Grizzlies	4	Marlies	3	W	X	X	BoxScore
41 - 2024-05-16	429	Snowbirds	4	Grizzlies	2	L			BoxScore
42 - 2024-05-17	447	Grizzlies	1	Wolves	2	L			BoxScore
44 - 2024-05-19	460	Marlies	2	Grizzlies	8	W			BoxScore
45 - 2024-05-20	483	Vipers	5	Grizzlies	7	W			BoxScore
46 - 2024-05-21	495	Grizzlies	2	Bayou	4	L			BoxScore
48 - 2024-05-23	513	Barracudas	3	Grizzlies	6	W			BoxScore
50 - 2024-05-25	533	Grizzlies	4	Vandals	2	W			BoxScore
51 - 2024-05-26	547	Marmots	2	Grizzlies	1	L			BoxScore
52 - 2024-05-27	564	Chiwawa	2	Grizzlies	4	W			BoxScore
54 - 2024-05-29	578	Grizzlies	2	Chiwawa	1	W			BoxScore
55 - 2024-05-30	591	Grizzlies	1	Igloos	2	L	X	X	BoxScore
57 - 2024-06-01	606	Grizzlies	8	TigersCats	2	W			BoxScore
58 - 2024-06-02	618	Spartans	1	Grizzlies	6	W			BoxScore
60 - 2024-06-04	638	Bandits	2	Grizzlies	3	W	X		BoxScore
62 - 2024-06-06	658	Farmers	2	Grizzlies	4	W			BoxScore
63 - 2024-06-07	673	Grizzlies	3	Rockets	4	L			BoxScore
64 - 2024-06-08	684	Grizzlies	1	Warriors	3	L			BoxScore
66 - 2024-06-10	700	Supreme	5	Grizzlies	6	W			BoxScore
68 - 2024-06-12	722	Raptors	7	Grizzlies	3	L			BoxScore
69 - 2024-06-13	734	Grizzlies	3	Predateurs	6	L			BoxScore
70 - 2024-06-14	746	Grizzlies	1	Supreme	3	L			BoxScore
71 - 2024-06-15	764	Warriors	6	Grizzlies	8	W			BoxScore
72 - 2024-06-16	773	Grizzlies	7	Bayou	3	W			BoxScore
73 - 2024-06-17	793	Grizzlies	3	Husky	6	L			BoxScore
74 - 2024-06-18	803	Thugs	4	Grizzlies	2	L			BoxScore
75 - 2024-06-19	816	Grizzlies	4	Thugs	5	L	X		BoxScore
77 - 2024-06-21	832	Predateurs	1	Grizzlies	2	W			BoxScore
78 - 2024-06-22	854	Husky	1	Grizzlies	6	W			BoxScore
80 - 2024-06-24	870	Grizzlies	2	Bandits	6	L			BoxScore
81 - 2024-06-25	884	Grizzlies	3	Saguenéens	1	W			BoxScore
83 - 2024-06-27	892	Scorpions	4	Grizzlies	3	L	X		BoxScore
84 - 2024-06-28	912	Grizzlies	2	CoolFm	3	L	X		BoxScore
86 - 2024-06-30	928	Igloos	2	Grizzlies	1	L	X		BoxScore
88 - 2024-07-02	950	Vandals	1	Grizzlies	3	W			BoxScore
89 - 2024-07-03	964	Grizzlies	1	Outlaws	6	L			BoxScore
90 - 2024-07-04	974	Grizzlies	3	Raptors	2	W	X	X	BoxScore
91 - 2024-07-05	988	CoolFm	4	Grizzlies	5	W			BoxScore
93 - 2024-07-07	1004	Grizzlies	2	Scorpions	3	L			BoxScore
94 - 2024-07-08	1020	Twins	2	Grizzlies	1	L	X		BoxScore
96 - 2024-07-10	1036	Grizzlies	0	Barracudas	4	L			BoxScore
97 - 2024-07-11	1047	Smirnoff Ice	3	Grizzlies	1	L			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
100 - 2024-07-14	1072	Saguenéens	6	Grizzlies	4	L			BoxScore
101 - 2024-07-15	1078	Grizzlies	1	Spartans	2	L			BoxScore
103 - 2024-07-17	1099	Grizzlies	1	Vipers	2	L	X	X	BoxScore
105 - 2024-07-19	1113	Bayou	4	Grizzlies	2	L			BoxScore
106 - 2024-07-20	1122	Grizzlies	-	Farmers	-
108 - 2024-07-22	1146	Hunters	-	Grizzlies	-
112 - 2024-07-26	1175	Outlaws	-	Grizzlies	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	65	25
Attendance	40,180	23,361
Attendance PCT	55.81%	64.89%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
2	1765 - 58.83%	106,524$	3,834,870$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,897,884$	2,085,000$	2,085,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,501,419$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
213,048$	8	31,726$	253,808$

Show or Hide Column

	Overall											Home											Visitor
Year	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
Regular Season
45	82	26	37	0	11	3	2	3	223	254	-31	41	15	20	0	5	1	0	0	115	118	-3	41	11	17	0	6	2	2	3	108	136	-28	84	223	407	630	3	0	40	87	83	18	1723	389	598	711	53	1953	634	891	1005	236	43	18.22%	263	70	73.38%	11	602	1206	49.92%	696	1300	53.54%	717	1263	56.77%	2337	1735	1539	569	1095	552
46	82	39	27	0	6	5	4	1	274	259	15	41	22	15	0	0	2	2	0	134	129	5	41	17	12	0	6	3	2	1	140	130	10	104	274	488	762	1	1	50	117	97	11	1895	410	712	758	29	1941	650	716	1135	242	53	21.90%	239	66	72.38%	5	615	1272	48.35%	686	1349	50.85%	584	1240	47.10%	2295	1690	1538	576	1125	569
47	73	24	32	0	2	10	3	2	233	249	-16	36	19	11	0	2	3	1	0	137	111	26	37	5	21	0	0	7	2	2	96	138	-42	70	233	424	657	2	0	52	81	95	8	1936	418	701	797	39	2022	661	470	1093	181	26	14.36%	179	39	78.21%	2	555	1230	45.12%	618	1309	47.21%	495	1145	43.23%	1871	1316	1452	570	1105	535
Total Regular Season	237	89	96	0	19	18	9	6	730	762	-32	118	56	46	0	7	6	3	0	386	358	28	119	33	50	0	12	12	6	6	344	404	-60	258	730	1319	2049	6	1	142	285	275	37	5554	1217	2011	2266	121	5916	1945	2077	3233	659	122	18.51%	681	175	74.30%	18	1772	3708	47.79%	2000	3958	50.53%	1796	3648	49.23%	6503	4742	4531	1716	3326	1656

Back to the Top