Kraken
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule

Game Center
	Sagnéens 17-21-2, 36pts	2	Box score	4	Bears 21-17-2, 44pts

Team Stats
W1	Streak	L1
12-8-0	Home Record	9-9-2
5-13-2	Home Record	12-8-0
5-5-0	Last 10 Games	3-6-1
1.38	Goals Per Game	1.83
1.98	Goals Against Per Game	1.88
18.60%	Power Play Percentage	24.62%
74.46%	Penalty Kill Percentage	73.62%

Sagnéens
17-21-2, 36pts

Box score

Sound Tigers
15-21-4, 34pts

Team Stats
W1	Streak	L1
12-8-0	Home Record	6-11-3
5-13-2	Home Record	9-10-1
5-5-0	Last 10 Games	6-2-2
1.38	Goals Per Game	1.58
1.98	Goals Against Per Game	1.85
18.60%	Power Play Percentage	22.62%
74.46%	Penalty Kill Percentage	79.33%

Team Leaders

Team Stats
Goals For 55 1.38 GFG	Shots For 597 14.93 Avg	Power Play Percentage 18.6% 32 GF	Offensive Zone Start 32.1%
Goals Against 79 1.98 GAA	Shots Against 676 16.90 Avg	Penalty Kill Percentage 74.5%% 47 GA	Defensive Zone Start 34.7%

Team Info
	General Manager	Joel Bourque
	Division	Pacifique
	Conference	Conference Ouest
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	11,000
	Attendance	0
	Season Tickets	2,200
Roster Info
	Pro Team	7
	Farm Team	22
	Contract Limit	29 / 250
	Prospects	56

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	Georgii Merkulov (R)	0	X				100.00	72	64	91	71	64	78	82	65	80	66	61	63	58	44	44	66	65	70	0	24	3	925,000$
2	Alex Turcotte	0	X	X	X		100.00	69	42	90	79	67	59	85	66	46	69	64	64	25	56	56	68	65	67	0	23	3	775,000$
3	Tyler Tucker	0				X	100.00	86	99	61	71	77	65	74	61	25	49	49	78	25	55	55	61	65	68	0	24	1	800,000$
4	Adam Boqvist	0				X	100.00	63	41	90	69	70	64	56	74	25	63	51	63	25	64	65	62	65	65	0	24	1	2,600,000$
5	Maveric Lamoureux (R)	0				X	100.00	77	99	33	73	81	69	72	60	25	50	49	71	25	45	45	59	65	65	0	20	3	886,667$
Scratches
1	Gabriel Perreault (R)	0	X				100.00	68	54	67	68	64	62	64	69	37	71	68	64	61	55	55	79	50	65	0	23	3	941,667$

	TEAM AVERAGE						100.00	73	67	72	72	71	66	72	66	40	61	57	67	37	53	53	66	63	67

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	Georgi Romanov (R)	0	100.00	53	51	64	87	55	54	50	57	53	52	30	44	44	53	75	50	0	24	1	910,000$
Scratches

	TEAM AVERAGE		100.00	53	51	64	87	55	54	50	57	53	52	30	44	44	53	75	50

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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	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
Adam Boqvist	Sagnéens (SEA)	D	24	2000-08-15	SWE	No	191 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	2,600,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Alex Turcotte	Sagnéens (SEA)	C/LW/RW	23	2001-02-26	USA	No	185 Lbs	5 ft11	No	No	N/A	No	No	3		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Gabriel Perreault	Sagnéens (SEA)	C	23	2000-11-22	can	Yes	179 Lbs	5 ft11	No	No	Assign Manually	No	No	3	2025-11-22	False	False	Pro & Farm	941,667$	0$	0$	No	941,667$	941,667$	-	-	-	-	-	-	-	941,667$	941,667$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Georgi Romanov	Sagnéens (SEA)	G	24	1999-12-15	RUS	Yes	207 Lbs	6 ft5	No	No	N/A	No	No	1		False	False	Pro & Farm	910,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Georgii Merkulov	Sagnéens (SEA)	C	24	2000-10-10	RUS	Yes	176 Lbs	5 ft11	No	No	N/A	No	No	3		False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Maveric Lamoureux	Sagnéens (SEA)	D	20	2004-01-13	CAN	Yes	196 Lbs	6 ft6	No	No	N/A	No	No	3		False	False	Pro & Farm	886,667$	0$	0$	No	886,667$	886,667$	-	-	-	-	-	-	-	886,667$	886,667$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Tyler Tucker	Sagnéens (SEA)	D	24	2000-03-01	CAN	No	204 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
7	23.14	191 Lbs	6 ft1	2.14	1,119,762$

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	Admirals	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	8	15	26	7	10	107	213	259	22	13	4	77	9	3	0	0.00%	6	2	66.67%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
2	Americans	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	0	8	15	26	7	15	107	213	259	22	10	2	85	16	5	1	20.00%	5	1	80.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
3	Barracuda	2	1	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	1	0	1	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	2	4	6	0	1	8	15	26	7	33	107	213	259	22	45	18	78	19	6	2	33.33%	9	2	77.78%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
4	Bears	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	4	6	0	0	8	15	26	7	9	107	213	259	22	13	3	30	5	1	0	0.00%	6	3	50.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
5	Bruins	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	8	15	26	7	15	107	213	259	22	19	8	15	9	7	2	28.57%	5	1	80.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
6	Checkers	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	1	2	0	0	8	15	26	7	15	107	213	259	22	14	7	6	16	4	0	0.00%	3	1	66.67%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
7	Comets	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	6	9	0	0	8	15	26	7	13	107	213	259	22	8	4	58	13	11	3	27.27%	4	0	100.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
8	Condors	2	0	1	0	1	0	0	0	3	3	0	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	0	1	-1	2	0.500	3	6	9	0	0	8	15	26	7	24	107	213	259	22	33	10	82	14	5	2	40.00%	11	3	72.73%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
9	Crunch	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	8	15	26	7	9	107	213	259	22	14	1	24	7	7	0	0.00%	6	1	83.33%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
10	Devils	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	8	15	26	7	24	107	213	259	22	11	3	15	8	4	1	25.00%	5	1	80.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
11	Eagles	2	0	1	0	0	0	1	0	2	2	0	1	0	0	0	0	0	1	0	2	1	1	1	0	1	0	0	0	0	0	0	1	-1	2	0.500	2	2	4	0	0	8	15	26	7	28	107	213	259	22	43	14	32	20	7	1	14.29%	5	1	80.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
12	Griffins	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	0	8	15	26	7	19	107	213	259	22	19	7	85	10	6	2	33.33%	6	1	83.33%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
13	Gulls	2	0	2	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	1	2	3	0	0	8	15	26	7	28	107	213	259	22	38	8	42	30	4	0	0.00%	11	4	63.64%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
14	Heat	3	2	1	0	0	0	0	0	7	5	2	2	2	0	0	0	0	0	0	6	1	5	1	0	1	0	0	0	0	0	1	4	-3	4	0.667	7	14	21	0	1	8	15	26	7	58	107	213	259	22	44	10	75	34	15	4	26.67%	10	1	90.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
15	Hockey Club	2	0	1	0	0	0	1	0	2	4	-2	1	0	0	0	0	0	1	0	2	1	1	1	0	1	0	0	0	0	0	0	3	-3	2	0.500	2	2	4	0	0	8	15	26	7	38	107	213	259	22	29	9	94	23	9	0	0.00%	7	2	71.43%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
16	IceHogs	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	6	9	0	0	8	15	26	7	10	107	213	259	22	20	6	6	8	3	2	66.67%	3	0	100.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
17	Marlies	1	1	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1	0	1	2	1.000	1	2	3	0	1	8	15	26	7	10	107	213	259	22	11	7	53	9	6	1	16.67%	4	0	100.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
18	Monsters	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	0	0	0	0	0	8	15	26	7	13	107	213	259	22	21	9	13	12	4	0	0.00%	4	2	50.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
19	Moose	1	0	0	0	0	1	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	1	2	-1	1	0.500	1	2	3	0	0	8	15	26	7	19	107	213	259	22	20	6	10	6	4	1	25.00%	5	0	100.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
20	Penguins	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	8	15	26	7	8	107	213	259	22	22	4	14	7	3	0	0.00%	7	0	100.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
21	Phantoms	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	8	15	26	7	13	107	213	259	22	15	5	81	8	2	1	50.00%	8	5	37.50%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
22	Rampage	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	4	7	0	0	8	15	26	7	22	107	213	259	22	26	12	46	9	3	2	66.67%	3	0	100.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
23	Reign	2	0	1	0	1	0	0	0	2	2	0	1	0	0	0	1	0	0	0	2	1	1	1	0	1	0	0	0	0	0	0	1	-1	2	0.500	2	4	6	0	0	8	15	26	7	28	107	213	259	22	38	6	78	13	9	1	11.11%	4	0	100.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
24	Rocket	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	0	0	0	0	0	8	15	26	7	17	107	213	259	22	13	2	24	11	6	0	0.00%	7	2	71.43%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
25	Senators	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	8	15	26	7	17	107	213	259	22	17	6	34	10	2	0	0.00%	7	1	85.71%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
26	Sound Tigers	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	6	9	0	0	8	15	26	7	20	107	213	259	22	14	7	9	6	5	1	20.00%	2	1	50.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
27	Stars	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	8	15	26	7	15	107	213	259	22	16	2	80	10	4	0	0.00%	10	5	50.00%	1	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
28	Thunderbirds	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	8	15	26	7	12	107	213	259	22	15	6	20	9	7	1	14.29%	5	2	60.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
29	Wild	2	1	1	0	0	0	0	0	3	3	0	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	3	6	9	0	0	8	15	26	7	24	107	213	259	22	30	9	29	20	13	2	15.38%	7	3	57.14%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
30	Wolf Pack	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	0	8	15	26	7	17	107	213	259	22	26	6	14	6	4	1	25.00%	2	0	100.00%	0	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
31	Wolves	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	8	15	26	7	14	107	213	259	22	19	4	14	6	3	1	33.33%	7	2	71.43%	1	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
	Total	40	11	21	0	4	2	2	0	55	79	-24	20	7	8	0	3	0	2	0	34	35	-1	20	4	13	0	1	2	0	0	21	44	-23	36	0.450	55	102	157	0	3	8	15	26	7	597	107	213	259	22	676	205	1323	383	172	32	18.60%	184	47	74.46%	2	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
	_Since Last GM Reset	40	11	21	0	4	2	2	0	55	79	-24	20	7	8	0	3	0	2	0	34	35	-1	20	4	13	0	1	2	0	0	21	44	-23	36	0.450	55	102	157	0	3	8	15	26	7	597	107	213	259	22	676	205	1323	383	172	32	18.60%	184	47	74.46%	2	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
	_Vs Conference	24	5	11	0	4	2	2	0	34	45	-11	13	5	3	0	3	0	2	0	25	19	6	11	0	8	0	1	2	0	0	9	26	-17	24	0.500	34	62	96	0	2	8	15	26	7	370	107	213	259	22	433	125	828	231	94	20	21.28%	104	26	75.00%	2	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239
	_Vs Division	13	3	8	0	2	0	2	0	20	23	-3	6	3	1	0	2	0	2	0	13	6	7	7	0	7	0	0	0	0	0	7	17	-10	14	0.538	20	40	60	0	2	8	15	26	7	198	107	213	259	22	225	60	427	129	53	13	24.53%	56	12	78.57%	1	267	538	49.63%	287	582	49.31%	254	558	45.52%	962	684	973	278	485	239

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
40	36	W1	55	102	157	597	676	205	1323	383	0	3

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	11	21	4	2	2	0	55	79

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	7	8	3	0	2	0	34	35

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	4	13	1	2	0	0	21	44

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
172	32	18.60%	184	47	74.46%	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
107	213	259	22	8	15	26	7

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
267	538	49.63%	287	582	49.31%	254	558	45.52%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
962	684	973	278	485	239

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 - 2025-10-05	10	Hockey Club	1	Sagnéens	2	W	X	X	Box score
2 - 2025-10-06	30	Heat	1	Sagnéens	4	W			Box score
4 - 2025-10-08	47	Sagnéens	0	Crunch	4	L			Box score
6 - 2025-10-10	67	Sagnéens	3	IceHogs	2	W	X		Box score
7 - 2025-10-11	81	Rampage	2	Sagnéens	3	W	X		Box score
8 - 2025-10-12	96	Stars	5	Sagnéens	1	L			Box score
11 - 2025-10-15	114	Sagnéens	2	Wolves	3	L	X		Box score
12 - 2025-10-16	130	Sagnéens	0	Monsters	3	L			Box score
14 - 2025-10-18	145	Phantoms	5	Sagnéens	1	L			Box score
15 - 2025-10-19	163	Griffins	1	Sagnéens	2	W			Box score
17 - 2025-10-21	190	Americans	1	Sagnéens	2	W			Box score
18 - 2025-10-22	194	Sagnéens	1	Marlies	0	W			Box score
19 - 2025-10-23	216	Sagnéens	1	Wild	2	L			Box score
20 - 2025-10-24	226	Senators	3	Sagnéens	2	L			Box score
21 - 2025-10-25	249	Sagnéens	0	Eagles	1	L			Box score
23 - 2025-10-27	259	Reign	1	Sagnéens	2	W	X		Box score
25 - 2025-10-29	281	Sagnéens	1	Checkers	2	L			Box score
26 - 2025-10-30	292	Eagles	1	Sagnéens	2	W	X	X	Box score
27 - 2025-10-31	311	Sagnéens	1	Moose	2	L	X		Box score
28 - 2025-11-01	319	Sagnéens	0	Rocket	2	L			Box score
29 - 2025-11-02	333	Admirals	2	Sagnéens	0	L			Box score
30 - 2025-11-03	358	Thunderbirds	2	Sagnéens	1	L			Box score
32 - 2025-11-05	377	Sagnéens	0	Gulls	3	L			Box score
33 - 2025-11-06	388	Penguins	2	Sagnéens	0	L			Box score
34 - 2025-11-07	406	Sagnéens	1	Barracuda	4	L			Box score
35 - 2025-11-08	422	Barracuda	0	Sagnéens	1	W			Box score
37 - 2025-11-10	438	Sagnéens	2	Bruins	1	W			Box score
38 - 2025-11-11	455	Wolf Pack	1	Sagnéens	2	W			Box score
39 - 2025-11-12	471	Sagnéens	1	Heat	4	L			Box score
40 - 2025-11-13	481	Sagnéens	0	Condors	1	L			Box score
41 - 2025-11-14	491	Sagnéens	0	Hockey Club	3	L			Box score
42 - 2025-11-15	505	Gulls	2	Sagnéens	1	L			Box score
43 - 2025-11-16	527	Heat	0	Sagnéens	2	W			Box score
44 - 2025-11-17	540	Sagnéens	0	Reign	1	L			Box score
46 - 2025-11-19	559	Condors	2	Sagnéens	3	W	X		Box score
47 - 2025-11-20	577	Devils	2	Sagnéens	1	L			Box score
50 - 2025-11-23	604	Sagnéens	3	Comets	1	W			Box score
52 - 2025-11-25	614	Wild	1	Sagnéens	2	W			Box score
53 - 2025-11-26	622	Sagnéens	2	Bears	4	L			Box score
54 - 2025-11-27	636	Sagnéens	3	Sound Tigers	1	W			Box score

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	6000	5000
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
0	0 - 0.00%	0$	0$	11000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
7,050,759$	7,838,334$	7,838,334$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	7,050,759$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	142,515$	0$

Sagnéens 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

Sagnéens 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

Sagnéens 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

Sagnéens 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

Sagnéens 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

	Sagnéens
	GP: 40 \| W: 17 \| L: 21 \| OTL: 2 \| P: 36 GF: 55 \| GA: 79 \| PP%: 18.60% \| PK%: 74.46% GM : Joel Bourque \| Morale : 64 \| Team Overall : 64