Montreal Canadiens
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Career Team Stats

Game Center
	Americiens 16-8-1, 33pts	1	FINAL	7	Roadrunners 20-7-1, 41pts

Team Stats
L2	Streak	L1
9-5-0	Home Record	11-2-0
7-3-1	Home Record	9-5-1
7-3-0	Last 10 Games	7-2-1
4.84	Goals Per Game	3.89
4.40	Goals Against Per Game	2.93
28.07%	Power Play Percentage	29.41%
76.81%	Penalty Kill Percentage	86.15%

Lynx
17-10-0, 34pts

FINAL

Americiens
16-8-1, 33pts

Team Stats
W2	Streak	L2
9-5-0	Home Record	9-5-0
8-5-0	Home Record	7-3-1
6-4-0	Last 10 Games	7-3-0
4.63	Goals Per Game	4.84
3.59	Goals Against Per Game	4.40
30.51%	Power Play Percentage	28.07%
91.18%	Penalty Kill Percentage	76.81%

Americiens
16-8-1, 33pts

Day 61

Aces
15-10-3, 33pts

Team Stats
L2	Streak	OTL1
9-5-0	Home Record	8-5-0
7-3-1	Away Record	7-5-3
7-3-0	Last 10 Games	5-4-1
4.84	Goals Per Game	3.25
4.40	Goals Against Per Game	3.25
28.07%	Power Play Percentage	23.53%
76.81%	Penalty Kill Percentage	84.29%

Barons
12-12-3, 27pts

Day 62

Americiens
16-8-1, 33pts

Team Stats
W2	Streak	L2
5-6-2	Home Record	9-5-0
7-6-1	Away Record	7-3-1
5-5-0	Last 10 Games	7-3-0
3.26	Goals Per Game	4.84
3.59	Goals Against Per Game	4.84
21.15%	Power Play Percentage	28.07%
88.89%	Penalty Kill Percentage	76.81%

Americiens
16-8-1, 33pts

Day 65

Wranglers
16-9-2, 34pts

Team Stats
L2	Streak	OTW1
9-5-0	Home Record	9-5-0
7-3-1	Away Record	7-4-2
7-3-0	Last 10 Games	5-5-0
4.84	Goals Per Game	4.89
4.40	Goals Against Per Game	4.89
28.07%	Power Play Percentage	12.24%
76.81%	Penalty Kill Percentage	66.67%

Team Leaders

Team Stats
Goals For 121 4.84 GFG	Shots For 1091 43.64 Avg	Power Play Percentage 28.1% 16 GF	Offensive Zone Start 39.2%
Goals Against 110 4.40 GAA	Shots Against 989 39.56 Avg	Penalty Kill Percentage 76.8%% 16 GA	Defensive Zone Start 40.1%

Team Info
	General Manager	Shawn Michaels
	Coach	John Tortorella
	Division	Atlantic
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	17
	Farm Team	18
	Contract Limit	35 / 50
	Prospects	37

Show or Hide Columns

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	Age	Contract	Salary
1	Collin Graf (R)			X		100.00	62	56	87	68	69	75	61	69	50	62	61	72	51	56	62	0	56	62	0	23	1	2,500,000$
2	Luke Glendening	X				100.00	73	55	92	64	67	68	86	60	78	57	50	73	50	83	80	0	56	62	0	36	1	500,000$
3	Zachary L'Heureux (R)		X			100.00	84	64	79	66	70	70	76	64	50	63	54	64	50	55	57	0	56	61	0	22	4	500,000$
4	Philipp Kurashev	X				100.00	63	56	85	67	67	73	69	67	62	62	61	63	50	61	62	0	56	61	0	26	2	4,999,999$
5	Calle Jarnkrok	X				100.00	60	56	88	62	68	65	55	68	50	63	50	62	50	76	74	0	56	59	0	34	1	750,000$
6	Brennan Othmann (R)		X			100.00	70	54	94	57	68	59	55	54	50	54	50	56	50	55	57	0	56	54	0	22	2	500,000$
7	Ethan Cardwell			X		100.00	50	39	83	57	63	50	52	50	50	50	50	50	51	57	61	0	56	51	0	23	3	500,000$
8	Jack Williams			X		100.00	50	35	89	57	65	50	51	50	50	50	50	50	50	58	60	0	56	51	0	23	2	500,000$
9	Rory Kerins (R)	X				100.00	50	50	89	57	61	50	52	50	50	50	50	50	50	56	65	0	56	51	0	23	3	500,000$
10	Joakim Kemell			X		100.00	50	35	89	57	64	50	51	50	50	50	50	50	50	53	55	0	56	50	0	21	2	500,000$
11	Noah Ostlund	X				100.00	50	55	86	57	61	50	52	50	50	50	50	50	50	53	55	0	42	50	0	21	4	500,000$
12	Nolan Allan (R)				X	100.00	74	59	81	62	70	68	65	66	50	60	50	69	55	56	60	0	56	62	0	22	3	500,000$
13	Frederic Brunet				X	100.00	50	35	94	57	71	50	52	50	50	50	50	56	55	58	67	0	56	53	0	22	3	500,000$
14	Tristan Luneau				X	100.00	50	41	83	57	72	50	54	50	50	50	50	50	55	54	58	0	56	52	0	21	4	500,000$
15	Helge Grans				X	100.00	50	41	83	57	74	50	53	50	50	50	50	50	55	58	61	0	56	52	0	23	4	500,000$
16	Ryan Ufko				X	100.00	50	35	94	57	61	50	53	50	50	50	50	50	55	56	60	0	56	51	0	22	2	500,000$
Scratches

	TEAM AVERAGE					100.00	59	48	87	60	67	58	59	56	53	54	52	57	52	59	62	0	55	55

Show or Hide Columns

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	Age	Contract	Salary
1	Tristan Lennox (R)	100.00	50	60	59	73	50	57	50	50	50	50	50	54	54	0	62	54	0	23	1	500,000$
Scratches

	TEAM AVERAGE	100.00	50	60	59	73	50	57	50	50	50	50	50	54	54	0	62	54

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
John Tortorella	70	85	90	81	80	79	1	USA	65	5	500,000$

Show or Hide Columns

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Columns

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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Show or Hide Columns

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	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Brennan Othmann	Americiens (MTL)	LW	22	2003-01-05	CAN	Yes	192 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Calle Jarnkrok	Americiens (MTL)	C	34	1991-09-25	SWE	No	191 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2024-08-26	False	False	Pro & Farm	750,000$	75,000$	50,417$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Collin Graf	Americiens (MTL)	RW	23	2002-09-21	USA	Yes	194 Lbs	6 ft1	No	No	Free Agent		No	No	1	2024-09-04	False	False	Pro & Farm	2,500,000$	250,000$	168,056$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ethan Cardwell	Americiens (MTL)	RW	23	2002-08-30	CAN	No	180 Lbs	5 ft11	No	No	Free Agent		No	No	3	2025-08-07	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Frederic Brunet	Americiens (MTL)	D	22	2003-08-21	CAN	No	196 Lbs	6 ft3	No	No	Free Agent		No	No	3	2025-08-07	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Helge Grans	Americiens (MTL)	D	23	2002-05-10	SWE	No	205 Lbs	6 ft4	No	No	Free Agent		No	No	4	2025-08-03	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Jack Williams	Americiens (MTL)	RW	23	2002-03-02	USA	No	185 Lbs	5 ft11	No	No	Free Agent		No	No	2	2025-08-07	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Joakim Kemell	Americiens (MTL)	RW	21	2004-04-27	FIN	No	182 Lbs	5 ft11	No	No	Free Agent		No	No	2	2025-07-31	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Luke Glendening	Americiens (MTL)	C	36	1989-04-28	USA	No	190 Lbs	5 ft11	No	No	Assign Manually		No	No	1	2024-08-26	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Noah Ostlund	Americiens (MTL)	C	21	2004-03-11	SWE	No	175 Lbs	5 ft11	No	No	Free Agent		No	No	4	2025-07-31	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Nolan Allan	Americiens (MTL)	D	22	2003-04-28	CAN	Yes	195 Lbs	6 ft2	No	No	Free Agent		No	No	3	2025-08-07	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Philipp Kurashev	Americiens (MTL)	C	26	1999-10-12	CHE	No	190 Lbs	6 ft0	No	No	Free Agent		No	No	2	2024-09-04	False	False	Pro & Farm	4,999,999$	500,000$	336,111$	No	4,999,999$	-	-	-	-	-	-	-	-	4,999,999$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Rory Kerins	Americiens (MTL)	C	23	2002-04-12	CAN	Yes	175 Lbs	5 ft10	No	No	Free Agent		No	No	3	2025-08-07	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Ryan Ufko	Americiens (MTL)	D	22	2003-05-07	USA	No	174 Lbs	6 ft0	No	No	Free Agent		No	No	2	2025-08-07	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Tristan Lennox	Americiens (MTL)	G	23	2002-10-21	CAN	Yes	193 Lbs	6 ft3	No	No	Free Agent		No	No	1	2025-08-28	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tristan Luneau	Americiens (MTL)	D	21	2004-01-12	CAN	No	202 Lbs	6 ft1	No	No	Free Agent		No	No	4	2025-08-03	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Zachary L'Heureux	Americiens (MTL)	LW	22	2003-05-15	CAN	Yes	197 Lbs	5 ft11	No	No	Trade	2025-08-05	No	No	4	2025-07-25	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
17	23.94	189 Lbs	6 ft0	2.47	897,059$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	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
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

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	Aces	1	0	0	0	0	0	1	0	5	4	1	1	0	0	0	0	0	1	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	48	38	32	3	50	350	347	390	9	33	9	2	15	4	0	0.00%	1	0	100.00%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
2	Barons	1	1	0	0	0	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	5	1	2	1.000	6	12	18	0	0	48	38	32	3	45	350	347	390	9	37	11	8	28	0	0	0%	5	2	60.00%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
3	Broncos	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	3	3	2	1.000	6	12	18	0	0	48	38	32	3	33	350	347	390	9	36	13	4	15	1	1	100.00%	2	1	50.00%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
4	Bruins	5	2	2	0	0	0	1	0	21	17	4	3	0	2	0	0	0	1	0	11	13	-2	2	2	0	0	0	0	0	0	10	4	6	6	0.600	21	39	60	0	0	48	38	32	3	214	350	347	390	9	152	46	22	91	15	2	13.33%	10	2	80.00%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
5	Butter Knives	2	2	0	0	0	0	0	0	16	9	7	1	1	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	7	3	4	4	1.000	16	30	46	0	0	48	38	32	3	110	350	347	390	9	102	35	11	64	8	4	50.00%	3	0	100.00%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
6	Fighting Pandas	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	14	21	0	0	48	38	32	3	74	350	347	390	9	70	18	8	49	3	1	33.33%	4	1	75.00%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
7	Griffins	1	1	0	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	7	6	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	12	19	0	0	48	38	32	3	49	350	347	390	9	59	13	10	28	3	1	33.33%	5	0	100.00%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
8	Ice Bats	1	1	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	7	2	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	13	20	0	0	48	38	32	3	59	350	347	390	9	34	11	4	17	2	1	50.00%	1	0	100.00%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
9	Lynx	3	0	2	0	0	1	0	0	13	18	-5	2	0	2	0	0	0	0	0	8	12	-4	1	0	0	0	0	1	0	0	5	6	-1	1	0.167	13	26	39	0	0	48	38	32	3	126	350	347	390	9	144	39	16	63	4	0	0.00%	8	3	62.50%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
10	Marlies	3	1	2	0	0	0	0	0	9	14	-5	1	0	1	0	0	0	0	0	4	6	-2	2	1	1	0	0	0	0	0	5	8	-3	2	0.333	9	17	26	0	0	48	38	32	3	100	350	347	390	9	103	42	26	63	6	3	50.00%	11	3	72.73%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
11	Nordiks	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	3	3	2	1.000	6	11	17	0	0	48	38	32	3	41	350	347	390	9	43	12	4	31	1	0	0.00%	2	1	50.00%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
12	Roadrunners	2	0	1	0	1	0	0	0	6	11	-5	1	0	0	0	1	0	0	0	5	4	1	1	0	1	0	0	0	0	0	1	7	-6	2	0.500	6	12	18	0	0	48	38	32	3	79	350	347	390	9	67	18	40	38	4	0	0.00%	8	3	62.50%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
13	Tomahawks	1	1	0	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	48	38	32	3	40	350	347	390	9	44	14	10	34	4	1	25.00%	5	0	100.00%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
14	Wranglers	1	1	0	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	48	38	32	3	71	350	347	390	9	65	12	8	25	2	2	100.00%	4	0	100.00%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
	Total	25	13	8	0	1	1	2	0	121	110	11	14	6	5	0	1	0	2	0	72	66	6	11	7	3	0	0	1	0	0	49	44	5	33	0.660	121	228	349	0	0	48	38	32	3	1091	350	347	390	9	989	293	173	561	57	16	28.07%	69	16	76.81%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
	_Since Last GM Reset	25	13	8	0	1	1	2	0	121	110	11	14	6	5	0	1	0	2	0	72	66	6	11	7	3	0	0	1	0	0	49	44	5	33	0.660	121	228	349	0	0	48	38	32	3	1091	350	347	390	9	989	293	173	561	57	16	28.07%	69	16	76.81%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
	_Vs Conference	18	7	8	0	1	1	1	0	78	80	-2	9	2	5	0	1	0	1	0	41	44	-3	9	5	3	0	0	1	0	0	37	36	1	19	0.528	78	150	228	0	0	48	38	32	3	736	350	347	390	9	674	211	127	383	41	11	26.83%	46	13	71.74%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138
	_Vs Division	15	6	7	0	0	1	1	0	66	66	0	8	2	5	0	0	0	1	0	36	40	-4	7	4	2	0	0	1	0	0	30	26	4	15	0.500	66	126	192	0	0	48	38	32	3	624	350	347	390	9	571	180	83	330	36	10	27.78%	36	9	75.00%	0	388	922	42.08%	395	943	41.89%	209	488	42.83%	514	360	690	184	306	138

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
25	33	L2	121	228	349	1091	989	293	173	561	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	13	8	1	1	2	0	121	110

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	6	5	1	0	2	0	72	66

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	7	3	0	1	0	0	49	44

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	3	1	0	1	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
57	16	28.07%	69	16	76.81%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
350	347	390	9	48	38	32	3

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
388	922	42.08%	395	943	41.89%	209	488	42.83%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
514	360	690	184	306	138

Last Played Games Show or Hide Columns

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	2	Bruins	4	Americiens	3	L			BoxScore
6	23	Fighting Pandas	3	Americiens	4	W			BoxScore
8	34	Americiens	3	Fighting Pandas	5	L			BoxScore
10	45	Griffins	6	Americiens	7	W			BoxScore
14	64	Americiens	3	Bruins	2	W			BoxScore
15	71	Bruins	4	Americiens	5	W	X	X	BoxScore
18	88	Lynx	7	Americiens	5	L			BoxScore
20	97	Americiens	7	Butter Knives	3	W			BoxScore
21	104	Americiens	5	Lynx	6	L	X		BoxScore
22	107	Americiens	3	Marlies	2	W			BoxScore
26	122	Bruins	5	Americiens	3	L			BoxScore
28	133	Butter Knives	6	Americiens	9	W			BoxScore
32	155	Americiens	6	Broncos	3	W			BoxScore
33	161	Marlies	6	Americiens	4	L			BoxScore
36	173	Americiens	7	Bruins	2	W			BoxScore
38	183	Aces	4	Americiens	5	W	X	X	BoxScore
42	199	Roadrunners	4	Americiens	5	W	X		BoxScore
45	210	Americiens	6	Barons	5	W			BoxScore
47	219	Americiens	6	Nordiks	3	W			BoxScore
48	227	Wranglers	5	Americiens	6	W			BoxScore
50	243	Ice Bats	2	Americiens	7	W			BoxScore
53	258	Americiens	2	Marlies	6	L			BoxScore
54	266	Tomahawks	5	Americiens	6	W			BoxScore
57	280	Americiens	1	Roadrunners	7	L			BoxScore
58	287	Lynx	5	Americiens	3	L			BoxScore
61	302	Americiens	-	Aces	-
62	309	Barons	-	Americiens	-
65	323	Americiens	-	Wranglers	-
67	331	Barons	-	Americiens	-
69	344	Americiens	-	Firebirds	-
71	354	Admirals	-	Americiens	-
72	357	Americiens	-	Broncos	-
76	376	Lynx	-	Americiens	-
79	396	Bruins	-	Americiens	-
81	408	Americiens	-	Firebirds	-
83	419	Lions	-	Americiens	-
85	429	Americiens	-	Barracuda	-
88	441	Quacken	-	Americiens	-
90	452	Americiens	-	Tomahawks	-
93	464	Admirals	-	Americiens	-
96	475	Americiens	-	Ice Bats	-
97	484	Bruins	-	Americiens	-
100	499	Americiens	-	Lions	-
102	508	Barracuda	-	Americiens	-
104	521	Americiens	-	Roadrunners	-
106	530	Griffins	-	Americiens	-
107	537	Americiens	-	Bruins	-
109	552	Butter Knives	-	Americiens	-
111	563	Americiens	-	Quacken	-
113	573	Marlies	-	Americiens	-
116	587	Americiens	-	Canucks	-
118	596	Griffins	-	Americiens	-
120	608	Americiens	-	Fighting Pandas	-
122	617	Broncos	-	Americiens	-
124	629	Americiens	-	Wranglers	-
125	639	Americiens	-	Broncos	-
126	643	Fighting Pandas	-	Americiens	-
131	663	Broncos	-	Americiens	-
133	680	Americiens	-	Marlies	-
134	684	Americiens	-	Admirals	-
135	686	Fighting Pandas	-	Americiens	-
138	703	Americiens	-	Fighting Pandas	-
139	708	Canucks	-	Americiens	-
143	726	Americiens	-	Lions	-
145	732	Roadrunners	-	Americiens	-
147	749	Marlies	-	Americiens	-
148	753	Americiens	-	Admirals	-
151	771	Americiens	-	Wombats	-
152	775	Firebirds	-	Americiens	-
156	793	Nordiks	-	Americiens	-
157	800	Americiens	-	Butter Knives	-
159	811	Americiens	-	Griffins	-
160	818	Americiens	-	Butter Knives	-
162	822	Americiens	-	Lynx	-
163	826	Firebirds	-	Americiens	-
167	843	Butter Knives	-	Americiens	-
170	860	Wombats	-	Americiens	-
171	867	Americiens	-	Ice Bats	-
175	881	Wombats	-	Americiens	-
176	888	Americiens	-	Griffins	-
177	891	Americiens	-	Wombats	-
179	902	Americiens	-	Lynx	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
27	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
671,256$	1,525,000$	1,525,000$	500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
1,525,000$	507,354$	17	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	121	11,250$	1,361,250$

Americiens Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Americiens Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Americiens Career Team Stats

Show or Hide Columns

	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

Americiens Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Americiens Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Americiens
	GP: 25 \| W: 16 \| L: 8 \| OTL: 1 \| P: 33 GF: 121 \| GA: 110 \| PP%: 28.07% \| PK%: 76.81% GM : Shawn Michaels \| Morale : 58 \| Team Overall : 55 Next Games #302 vs Aces