Panthers
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat
Web Lines Editor

Game Center
	Monsters 22-5-2, 46pts	6	FINAL	2	Checkers 2-23-3, 7pts

Team Stats
W3	Streak	L6
9-1-2	Home Record	0-16-2
13-4-0	Away Record	2-7-1
8-2-0	Last 10 Games	0-9-1
4.45	Goals Per Game	3.18
2.45	Goals Against Per Game	5.75
20.59%	Power Play Percentage	10.91%
81.82%	Penalty Kill Percentage	62.16%

Sound Tigers
20-7-3, 43pts

FINAL

Checkers
2-23-3, 7pts

Team Stats
W1	Streak	L6
10-4-1	Home Record	0-16-2
10-3-2	Away Record	2-7-1
6-2-2	Last 10 Games	0-9-1
4.33	Goals Per Game	3.18
2.73	Goals Against Per Game	5.75
16.47%	Power Play Percentage	10.91%
79.76%	Penalty Kill Percentage	62.16%

Checkers
2-23-3, 7pts

2025-12-10

Roadrunners
16-10-4, 36pts

Team Stats
L6	Streak	W1
0-16-2	Home Record	7-3-1
2-7-1	Away Record	9-7-3
0-9-1	Last 10 Games	6-3-1
3.18	Goals Per Game	3.83
5.75	Goals Against Per Game	2.97
10.91%	Power Play Percentage	18.07%
62.16%	Penalty Kill Percentage	77.11%

Checkers
2-23-3, 7pts

2025-12-11

Eagles
14-13-2, 30pts

Team Stats
L6	Streak	W3
0-16-2	Home Record	5-8-0
2-7-1	Away Record	9-5-2
0-9-1	Last 10 Games	5-4-1
3.18	Goals Per Game	3.62
5.75	Goals Against Per Game	3.76
10.91%	Power Play Percentage	20.20%
62.16%	Penalty Kill Percentage	82.05%

Checkers
2-23-3, 7pts

2025-12-13

Stars
13-15-2, 28pts

Team Stats
L6	Streak	W2
0-16-2	Home Record	6-8-1
2-7-1	Away Record	7-7-1
0-9-1	Last 10 Games	5-5-0
3.18	Goals Per Game	3.93
5.75	Goals Against Per Game	4.17
10.91%	Power Play Percentage	26.67%
62.16%	Penalty Kill Percentage	67.03%

Team Leaders

Team Stats
Goals For 89 3.18 GFG	Shots For 1211 43.25 Avg	Power Play Percentage 10.9% 6 GF	Offensive Zone Start 38.6%
Goals Against 161 5.75 GAA	Shots Against 1560 55.71 Avg	Penalty Kill Percentage 62.2% 28 GA	Defensive Zone Start 43.8%

Team Info
	General Manager	Félix Fortier
	Coach	Joel Bouchard
	Division	North Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,950
	Season Tickets	300
Roster Info
	Pro Team	25
	Farm Team	19
	Contract Limit	44 / 80
	Prospects	45
Team History
	This Season	2-23-3 (7PTS)
	History	40-56-10 (0.377%)
	Playoff Appearances	0
	Playoff Record (W-L)	-
	Stanley Cup	0

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	Age	Contract	Salary Average
1	Jayson Megna	0	X		X		100.00	63	37	92	65	72	86	85	64	74	66	61	63	66	75	80	0	75	65	0	35	1	850,000$
2	Thomas Bordeleau (R)	0	X				100.00	59	37	78	68	66	87	83	66	74	64	63	62	71	64	65	0	75	64	0	23	1	950,000$
3	Jake Lucchini	0	X				100.00	61	38	84	63	70	81	87	62	68	60	61	64	62	70	72	0	75	63	0	30	2	950,000$
4	Jesse Ylonen	0			X		100.00	68	38	92	63	79	78	83	62	65	60	58	64	59	66	68	0	75	63	0	26	2	900,000$
5	Nate Danielson (R)	0	X				100.00	68	39	85	66	77	81	73	64	69	62	57	61	59	62	64	0	75	63	0	21	3	950,000$
6	Ryan Suzuki (R)	0	X	X			100.00	67	38	89	65	77	78	83	62	74	63	58	62	61	64	66	0	75	63	0	24	2	800,000$
7	Noah Ostlund (R)	0	X				100.00	57	38	90	65	67	85	69	64	67	59	60	63	66	61	62	0	75	62	0	21	3	950,000$
8	Stefan Matteau	0		X			100.00	73	51	67	58	82	79	64	57	67	60	56	59	57	71	76	0	75	61	0	31	2	950,000$
9	Tyler Madden (R)	0	X				100.00	63	36	93	62	63	81	86	58	68	61	57	54	56	66	68	0	75	61	0	25	1	900,000$
10	Bokondji Imama	0		X			100.00	77	85	54	59	82	67	78	57	53	59	58	56	55	69	70	0	75	61	0	29	2	850,000$
11	Cale Fleury (R)	0				X	100.00	73	38	92	65	78	81	82	62	30	64	58	66	51	67	69	0	75	64	0	26	2	1,000,000$
12	Ryan Johnson (R)	0				X	100.00	64	37	87	65	76	81	86	64	30	66	58	62	50	64	66	0	75	64	0	24	2	950,000$
13	Wyatt Aamodt	77				X	100.00	74	39	76	62	75	83	84	59	30	56	60	58	55	68	70	0	75	62	0	27	3	950,000$
14	Calen Addison	0				X	100.00	58	40	71	65	67	73	85	63	30	66	54	56	48	65	67	0	75	61	0	25	2	1,405,000$
15	Chase Priskie	0				X	100.00	62	38	84	60	71	74	84	59	30	62	57	58	49	69	71	0	75	61	0	29	1	850,000$
16	Zach Metsa	0				X	100.00	56	36	92	61	66	77	83	60	30	65	55	56	49	67	69	0	75	61	0	26	3	950,000$
17	Cavan Fitzgerald	0				X	100.00	66	39	85	59	75	70	83	56	30	58	57	59	47	69	71	0	75	61	0	29	1	850,000$
18	Ryan Mast (R)	0				X	100.00	85	42	85	52	94	64	67	51	30	53	50	59	45	62	64	0	75	59	0	22	3	950,000$
Scratches
1	Gabriel Szturc (R)	0	X				100.00	62	37	91	59	71	69	70	58	63	57	56	55	54	62	64	0	75	59	0	22	3	950,000$
2	Samuel Laberge	0		X			100.00	72	44	59	56	82	67	78	57	54	53	55	58	56	68	70	0	75	59	0	28	1	900,000$
3	Jack Rathbone	0				X	100.00	57	38	82	59	66	84	85	56	30	58	55	54	47	66	68	0	75	59	0	26	2	900,000$
4	Jack Matier (R)	0				X	100.00	84	41	90	53	93	64	70	52	30	54	51	59	45	62	64	0	75	59	0	22	2	950,000$
5	Noah Warren (R)	0				X	100.00	82	42	80	54	91	61	70	53	30	52	50	58	45	61	63	0	75	58	0	21	3	950,000$

	TEAM AVERAGE					100.00	67	41	83	61	76	76	79	59	49	60	57	59	54	66	68	0	75	61

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	Age	Contract	Salary Average
1	Oscar Dansk	100.00	72	83	78	84	71	70	72	71	70	72	71	72	85	0	75	65	0	31	1	950,000$
2	Vadim Zherenko	100.00	73	83	79	76	72	71	73	72	71	73	72	64	71	0	75	64	0	24	1	975,000$
Scratches

	TEAM AVERAGE	100.00	73	83	79	80	72	71	73	72	71	73	72	68	78	0	75	65

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Joel Bouchard	66	73	68	70	79	74	74	CAN	51	2	900,000$

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

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	Type	Current Salary	Salary Remaining	Salary Average	Salary Ave Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Bokondji Imama	Checkers (FLA)	LW	29	1996-08-03	No	221 Lbs	6 ft1	No	No	No	2	Pro & Farm	850,000$	575,521$	850,000$	575,521$	0$	0$	No	850,000$		Link / NHL Link
Cale Fleury	Checkers (FLA)	D	26	1998-11-19	Yes	204 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,000,000$	677,083$	1,000,000$	677,083$	0$	0$	No	1,000,000$		Link / NHL Link
Calen Addison (1 Way Contract)	Checkers (FLA)	D	25	2000-04-11	No	173 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,405,000$	951,302$	1,405,000$	951,302$	1,405,000$	951,302$	No	1,405,000$		Link / NHL Link
Cavan Fitzgerald	Checkers (FLA)	D	29	1996-08-23	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	850,000$	575,521$	850,000$	575,521$	0$	0$	No			Link / NHL Link
Chase Priskie	Checkers (FLA)	D	29	1996-03-19	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	850,000$	575,521$	850,000$	575,521$	0$	0$	No			Link / NHL Link
Gabriel Szturc	Checkers (FLA)	C	22	2003-09-24	Yes	194 Lbs	5 ft11	No	No	No	3	Pro & Farm	950,000$	643,229$	950,000$	643,229$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Jack Matier	Checkers (FLA)	D	22	2003-04-08	Yes	205 Lbs	6 ft6	No	No	No	2	Pro & Farm	950,000$	643,229$	950,000$	643,229$	0$	0$	No	950,000$		Link / NHL Link
Jack Rathbone	Checkers (FLA)	D	26	1999-05-20	No	177 Lbs	5 ft10	No	No	No	2	Pro & Farm	900,000$	609,375$	900,000$	609,375$	0$	0$	No	900,000$		Link / NHL Link
Jake Lucchini	Checkers (FLA)	C	30	1995-05-09	No	180 Lbs	6 ft0	No	No	No	2	Pro & Farm	950,000$	643,229$	950,000$	643,229$	0$	0$	No	950,000$		Link / NHL Link
Jayson Megna	Checkers (FLA)	C/RW	35	1990-02-01	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	850,000$	575,521$	850,000$	575,521$	0$	0$	No			Link / NHL Link
Jesse Ylonen	Checkers (FLA)	RW	26	1999-10-03	No	200 Lbs	6 ft1	No	No	No	2	Pro & Farm	900,000$	609,375$	900,000$	609,375$	0$	0$	No	900,000$		Link / NHL Link
Nate Danielson	Checkers (FLA)	C	21	2004-09-27	Yes	185 Lbs	6 ft2	No	No	No	3	Pro & Farm	950,000$	643,229$	950,000$	643,229$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Noah Ostlund	Checkers (FLA)	C	21	2004-03-11	Yes	175 Lbs	5 ft11	No	No	No	3	Pro & Farm	950,000$	643,229$	950,000$	643,229$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Noah Warren	Checkers (FLA)	D	21	2004-07-15	Yes	224 Lbs	6 ft4	No	No	No	3	Pro & Farm	950,000$	643,229$	950,000$	643,229$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Oscar Dansk	Checkers (FLA)	G	31	1994-02-28	No	204 Lbs	6 ft3	No	No	No	1	Pro & Farm	950,000$	643,229$	950,000$	643,229$	0$	0$	No			Link / NHL Link
Ryan Johnson	Checkers (FLA)	D	24	2001-07-24	Yes	195 Lbs	6 ft1	No	No	No	2	Pro & Farm	950,000$	643,229$	950,000$	643,229$	0$	0$	No	950,000$		Link / NHL Link
Ryan Mast	Checkers (FLA)	D	22	2003-01-14	Yes	221 Lbs	6 ft5	No	No	No	3	Pro & Farm	950,000$	643,229$	950,000$	643,229$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Ryan Suzuki	Checkers (FLA)	C/LW	24	2001-05-28	Yes	196 Lbs	6 ft1	No	No	No	2	Pro & Farm	800,000$	541,667$	800,000$	541,667$	0$	0$	No	800,000$		Link / NHL Link
Samuel Laberge	Checkers (FLA)	LW	28	1997-04-10	No	206 Lbs	6 ft2	No	No	No	1	Pro & Farm	900,000$	609,375$	900,000$	609,375$	0$	0$	No			Link / NHL Link
Stefan Matteau	Checkers (FLA)	LW	31	1994-02-23	No	208 Lbs	6 ft2	No	No	No	2	Pro & Farm	950,000$	643,229$	950,000$	643,229$	0$	0$	No	950,000$		Link / NHL Link
Thomas Bordeleau	Checkers (FLA)	C	23	2002-01-03	Yes	180 Lbs	5 ft10	No	No	No	1	Pro & Farm	950,000$	643,229$	950,000$	643,229$	0$	0$	No			Link / NHL Link
Tyler Madden	Checkers (FLA)	C	25	1999-11-09	Yes	152 Lbs	5 ft11	No	No	No	1	Pro & Farm	900,000$	609,375$	900,000$	609,375$	0$	0$	No			Link / NHL Link
Vadim Zherenko	Checkers (FLA)	G	24	2001-03-15	No	176 Lbs	6 ft2	No	No	No	1	Pro & Farm	975,000$	660,156$	975,000$	660,156$	0$	0$	No			Link / NHL Link
Wyatt Aamodt	Checkers (FLA)	D	27	1997-11-22	No	201 Lbs	6 ft0	No	No	No	3	Pro & Farm	950,000$	643,229$	950,000$	643,229$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Zach Metsa	Checkers (FLA)	D	26	1998-10-19	No	181 Lbs	5 ft9	No	No	No	3	Pro & Farm	950,000$	643,229$	950,000$	643,229$	0$	0$	No	950,000$	950,000$	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	25.88	193 Lbs	6 ft1	1.96	941,200$

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 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	Admirals	2	0	1	0	0	1	0	0	3	8	-5	1	0	1	0	0	0	0	0	2	6	-4	1	0	0	0	0	1	0	0	1	2	-1	1	0.250	3	6	9	0	0	40	27	22	0	80	390	423	395	6	76	33	6	46	2	0	0.00%	4	0	100.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
2	Americans	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	40	27	22	0	37	390	423	395	6	59	15	4	22	2	0	0.00%	2	1	50.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
3	Barracuda	1	0	1	0	0	0	0	0	4	8	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	8	-4	0	0.000	4	8	12	0	0	40	27	22	0	44	390	423	395	6	54	11	10	28	3	0	0.00%	4	2	50.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
4	Bears	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	8	12	1	0	40	27	22	0	47	390	423	395	6	56	11	8	29	1	0	0.00%	4	2	50.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
5	Bruins	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	40	27	22	0	33	390	423	395	6	79	21	14	18	1	0	0.00%	7	0	100.00%	1	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
6	Comets	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	40	27	22	0	33	390	423	395	6	56	14	2	27	2	0	0.00%	1	0	100.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
7	Condors	1	0	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	5	7	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	5	9	14	0	0	40	27	22	0	53	390	423	395	6	44	12	4	25	5	0	0.00%	2	0	100.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
8	Crunch	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	40	27	22	0	34	390	423	395	6	52	14	4	25	2	1	50.00%	2	1	50.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
9	Devils	2	0	2	0	0	0	0	0	10	14	-4	1	0	1	0	0	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	10	20	30	0	0	40	27	22	0	107	390	423	395	6	114	28	13	58	5	1	20.00%	4	3	25.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
10	Griffins	1	0	1	0	0	0	0	0	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	6	7	-1	0	0.000	6	11	17	0	0	40	27	22	0	61	390	423	395	6	81	18	10	36	3	1	33.33%	5	1	80.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
11	Gulls	2	0	1	0	0	0	0	1	7	9	-2	1	0	0	0	0	0	0	1	4	5	-1	1	0	1	0	0	0	0	0	3	4	-1	1	0.250	7	13	20	0	0	40	27	22	0	66	390	423	395	6	129	36	8	44	3	0	0.00%	4	0	100.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
12	IceHogs	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	40	27	22	0	35	390	423	395	6	62	12	6	23	2	0	0.00%	3	2	33.33%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
13	Marlies	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	40	27	22	0	34	390	423	395	6	65	21	6	39	4	0	0.00%	3	2	33.33%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
14	Monsters	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	40	27	22	0	32	390	423	395	6	69	17	2	28	0	0	0.00%	2	1	50.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
15	Penguins	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	40	27	22	0	36	390	423	395	6	55	24	8	17	2	0	0.00%	4	1	75.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
16	Phantoms	3	0	3	0	0	0	0	0	10	20	-10	2	0	2	0	0	0	0	0	7	15	-8	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	10	19	29	0	0	40	27	22	0	121	390	423	395	6	163	60	18	87	4	1	25.00%	8	7	12.50%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
17	Reign	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	4	1	2	1.000	5	9	14	0	0	40	27	22	0	33	390	423	395	6	46	19	8	18	3	0	0.00%	4	1	75.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
18	Senators	1	0	1	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	2	8	-6	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	40	27	22	0	39	390	423	395	6	51	17	14	20	3	1	33.33%	2	2	0.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
19	Silver Knights	2	1	1	0	0	0	0	0	11	10	1	1	0	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	6	4	2	2	0.500	11	21	32	0	0	40	27	22	0	141	390	423	395	6	121	38	8	67	5	1	20.00%	3	0	100.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
20	Sound Tigers	1	0	1	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	2	9	-7	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	40	27	22	0	43	390	423	395	6	62	16	4	27	2	0	0.00%	2	1	50.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
21	Stars	1	0	0	0	0	1	0	0	6	7	-1	1	0	0	0	0	1	0	0	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	6	12	18	0	0	40	27	22	0	57	390	423	395	6	36	14	6	27	0	0	0.00%	2	1	50.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
22	Wranglers	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	40	27	22	0	45	390	423	395	6	30	12	9	16	1	0	0.00%	2	0	100.00%	0	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
	Total	28	2	23	0	0	2	0	1	89	161	-72	18	0	16	0	0	1	0	1	54	111	-57	10	2	7	0	0	1	0	0	35	50	-15	7	0.125	89	170	259	1	0	40	27	22	0	1211	390	423	395	6	1560	463	172	727	55	6	10.91%	74	28	62.16%	1	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
	_Since Last GM Reset	28	2	23	0	0	2	0	1	89	161	-72	18	0	16	0	0	1	0	1	54	111	-57	10	2	7	0	0	1	0	0	35	50	-15	7	0.125	89	170	259	1	0	40	27	22	0	1211	390	423	395	6	1560	463	172	727	55	6	10.91%	74	28	62.16%	1	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
	_Vs Conference	15	0	15	0	0	0	0	0	45	94	-49	10	0	10	0	0	0	0	0	29	66	-37	5	0	5	0	0	0	0	0	16	28	-12	0	0.000	45	86	131	1	0	40	27	22	0	624	390	423	395	6	906	262	105	406	29	5	17.24%	45	22	51.11%	1	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
	_Vs Division	6	0	6	0	0	0	0	0	15	34	-19	3	0	3	0	0	0	0	0	6	17	-11	3	0	3	0	0	0	0	0	9	17	-8	0	0.000	15	27	42	0	0	40	27	22	0	238	390	423	395	6	387	106	52	160	15	3	20.00%	21	7	66.67%	1	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
28	7	L6	89	170	259	1211	1560	463	172	727	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	2	23	0	2	0	1	89	161

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	0	16	0	1	0	1	54	111

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	2	7	0	1	0	0	35	50

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	9	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
55	6	10.91%	74	28	62.16%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
390	423	395	6	40	27	22	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
383	1082	35.40%	409	1226	33.36%	146	493	29.61%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
481	327	874	208	329	138

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 - 2025-10-07	1	IceHogs	4	Checkers	1	BL			BoxScore
3 - 2025-10-09	12	Phantoms	10	Checkers	4	BL			BoxScore
5 - 2025-10-11	27	Senators	8	Checkers	2	BL			BoxScore
7 - 2025-10-13	44	Checkers	3	Phantoms	5	AL			BoxScore
9 - 2025-10-15	58	Checkers	6	Griffins	7	AL			BoxScore
10 - 2025-10-16	64	Checkers	4	Devils	6	AL			BoxScore
12 - 2025-10-18	76	Checkers	1	Americans	6	AL			BoxScore
15 - 2025-10-21	103	Checkers	2	Bruins	4	AL			BoxScore
17 - 2025-10-23	114	Penguins	5	Checkers	2	BL			BoxScore
19 - 2025-10-25	130	Silver Knights	6	Checkers	5	BL			BoxScore
22 - 2025-10-28	154	Gulls	5	Checkers	4	BL	X	X	BoxScore
26 - 2025-11-01	185	Stars	7	Checkers	6	BL	X		BoxScore
29 - 2025-11-04	211	Checkers	3	Gulls	4	AL			BoxScore
31 - 2025-11-06	226	Checkers	5	Reign	4	AW			BoxScore
33 - 2025-11-08	243	Checkers	4	Barracuda	8	AL			BoxScore
35 - 2025-11-10	255	Checkers	6	Silver Knights	4	AW			BoxScore
38 - 2025-11-13	273	Bears	6	Checkers	4	BL			BoxScore
40 - 2025-11-15	283	Crunch	4	Checkers	2	BL			BoxScore
42 - 2025-11-17	303	Comets	6	Checkers	2	BL			BoxScore
45 - 2025-11-20	322	Devils	8	Checkers	6	BL			BoxScore
47 - 2025-11-22	338	Condors	7	Checkers	5	BL			BoxScore
49 - 2025-11-24	357	Checkers	1	Admirals	2	AL	X		BoxScore
51 - 2025-11-26	363	Phantoms	5	Checkers	3	BL			BoxScore
53 - 2025-11-28	380	Wranglers	4	Checkers	0	BL			BoxScore
57 - 2025-12-02	415	Marlies	5	Checkers	2	BL			BoxScore
59 - 2025-12-04	429	Admirals	6	Checkers	2	BL			BoxScore
61 - 2025-12-06	442	Monsters	6	Checkers	2	BL			BoxScore
62 - 2025-12-07	454	Sound Tigers	9	Checkers	2	BL			BoxScore
65 - 2025-12-10	478	Checkers	-	Roadrunners	-
66 - 2025-12-11	490	Checkers	-	Eagles	-
68 - 2025-12-13	505	Checkers	-	Stars	-
70 - 2025-12-15	514	Checkers	-	Crunch	-
72 - 2025-12-17	529	Reign	-	Checkers	-
74 - 2025-12-19	544	Wolves	-	Checkers	-
75 - 2025-12-20	554	Thunderbirds	-	Checkers	-
78 - 2025-12-23	581	Checkers	-	Wolves	-
82 - 2025-12-27	591	Crunch	-	Checkers	-
84 - 2025-12-29	607	Bears	-	Checkers	-
85 - 2025-12-30	618	Rocket	-	Checkers	-
88 - 2026-01-02	641	Wolf Pack	-	Checkers	-
90 - 2026-01-04	659	Eagles	-	Checkers	-
92 - 2026-01-06	672	Checkers	-	Marlies	-
94 - 2026-01-08	683	Checkers	-	Rocket	-
96 - 2026-01-10	704	Checkers	-	Senators	-
98 - 2026-01-12	716	Checkers	-	Americans	-
102 - 2026-01-16	750	Checkers	-	Wolves	-
103 - 2026-01-17	761	Checkers	-	Bears	-
105 - 2026-01-19	773	Barracuda	-	Checkers	-
108 - 2026-01-22	799	Checkers	-	Moose	-
110 - 2026-01-24	817	Checkers	-	Wild	-
111 - 2026-01-25	823	Checkers	-	IceHogs	-
113 - 2026-01-27	834	Roadrunners	-	Checkers	-
115 - 2026-01-29	852	Checkers	-	Thunderbirds	-
117 - 2026-01-31	862	Moose	-	Checkers	-
119 - 2026-02-02	876	Americans	-	Checkers	-
121 - 2026-02-04	893	Bruins	-	Checkers	-
122 - 2026-02-05	908	Checkers	-	Crunch	-
143 - 2026-02-26	921	Marlies	-	Checkers	-
144 - 2026-02-27	930	Americans	-	Checkers	-
146 - 2026-03-01	951	Checkers	-	Sound Tigers	-
148 - 2026-03-03	961	Checkers	-	Devils	-
150 - 2026-03-05	978	Checkers	-	Monsters	-
151 - 2026-03-06	983	Checkers	-	Griffins	-
155 - 2026-03-10	1016	Griffins	-	Checkers	-
157 - 2026-03-12	1031	Monsters	-	Checkers	-
160 - 2026-03-15	1062	Checkers	-	Firebirds	-
162 - 2026-03-17	1074	Checkers	-	Comets	-
164 - 2026-03-19	1089	Checkers	-	Condors	-
165 - 2026-03-20	1097	Checkers	-	Wranglers	-
169 - 2026-03-24	1123	Firebirds	-	Checkers	-
171 - 2026-03-26	1140	Wild	-	Checkers	-
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-28	1153	Checkers	-	Sound Tigers	-
174 - 2026-03-29	1167	Checkers	-	Wolf Pack	-
176 - 2026-03-31	1181	Senators	-	Checkers	-
178 - 2026-04-02	1193	Bruins	-	Checkers	-
180 - 2026-04-04	1211	Checkers	-	Penguins	-
181 - 2026-04-05	1223	Checkers	-	Penguins	-
183 - 2026-04-07	1233	Checkers	-	Rocket	-
185 - 2026-04-09	1250	Checkers	-	Senators	-
187 - 2026-04-11	1270	Checkers	-	Marlies	-
189 - 2026-04-13	1283	Wolf Pack	-	Checkers	-
191 - 2026-04-15	1303	Griffins	-	Checkers	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	31	15
Attendance	35,191	17,909
Attendance PCT	97.75%	99.49%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
-8	2950 - 98.33%	94,414$	1,699,445$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,012,507$	2,212,500$	2,212,500$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	721,851$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
-755,309$	130	16,211$	2,107,430$

Checkers Stat Leaders (Regular Season)

Show or Hide Column

#	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
1	Austin Czarnik	82	35	43	78	1	6	71	230	287	12.20%	23	1742	21.25	5	10	15	51	0	0	0	1	6	1	55.89%	1	0.90	0	1
2	Bobby Brink	77	33	38	71	-9	4	44	158	332	9.94%	21	1434	18.62	2	13	15	60	1	0	1	2	3	2	49.13%	1	0.99	0	2
3	Ryan Johnson	81	16	45	61	1	40	89	128	151	10.60%	111	2003	24.73	4	8	12	81	0	0	0	0	4	0	0.00%	0	0.61	0	0
4	Thomas Bordeleau	76	27	31	58	-6	6	74	212	302	8.94%	19	1620	21.33	3	3	6	44	0	1	1	7	2	1	46.16%	0	0.72	1	1
5	Ivan Miroshnichenko	81	19	38	57	-1	20	130	119	202	9.41%	17	1351	16.69	0	1	1	13	0	0	0	1	4	1	40.31%	0	0.84	2	2

Checkers Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Yaroslav Askarov	82	38	31	11	0.898	3.52	4836	8	2	284	2789	0	1	2	0.615	13
2	Oscar Dansk	4	0	2	0	0.906	2.88	125	0	0	6	64	0	0	0	0.000	0

Checkers Career Team Stats

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
2024	82	31	33	0	6	8	1	3	283	295	-12	41	17	17	0	3	2	1	1	146	141	5	41	14	16	0	3	6	0	2	137	154	-17	87	283	511	794	2	2	98	93	85	9	2850	976	912	938	37	2855	788	432	1820	279	43	15.41%	183	37	79.78%	2	1514	2964	51.08%	1527	2978	51.28%	728	1406	51.78%	1930	1330	1965	608	1073	531
2025	28	2	23	0	0	2	0	1	89	161	-72	18	0	16	0	0	1	0	1	54	111	-57	10	2	7	0	0	1	0	0	35	50	-15	7	89	170	259	1	0	40	27	22	0	1211	390	423	395	6	1560	463	172	727	55	6	10.91%	74	28	62.16%	1	383	1082	35.40%	409	1226	33.36%	146	493	29.61%	481	327	874	208	329	138
Total Regular Season	110	33	56	0	6	10	1	4	372	456	-84	59	17	33	0	3	3	1	2	200	252	-52	51	16	23	0	3	7	0	2	172	204	-32	94	372	681	1053	3	2	138	120	107	9	4061	1366	1335	1333	43	4415	1251	604	2547	334	49	14.67%	257	65	74.71%	3	1897	4046	46.89%	1936	4204	46.05%	874	1899	46.02%	2412	1657	2840	817	1403	669

Checkers Stat Leaders (Play-Off)

Show or Hide Column

#	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

Checkers Goalies Stat Leaders (Play-Off)

Show or Hide Column

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

	Checkers
	GP: 28 \| W: 2 \| L: 23 \| OTL: 3 \| P: 7 GF: 89 \| GA: 161 \| PP%: 10.91% \| PK%: 62.16% GM : Félix Fortier \| Morale : 75 \| Team Overall : 62 Next Games #478 vs Roadrunners