Panthers
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Chicago Wolves 4-6-0, 8pts	4	FINAL	6	Chicoutimi Sagueneens 9-1-0, 18pts

Team Stats
L3	Streak	W4
2-3-0	Home Record	5-0-0
2-3-0	Away Record	4-1-0
4-6-0	Last 10 Games	9-1-0
3.60	Goals Per Game	5.00
4.00	Goals Against Per Game	2.80
29.63%	Power Play Percentage	32.35%
68.97%	Penalty Kill Percentage	54.55%

Chicago Wolves
4-6-0, 8pts

FINAL

Chicoutimi Sagueneens
9-1-0, 18pts

Team Stats
L3	Streak	W4
2-3-0	Home Record	5-0-0
2-3-0	Away Record	4-1-0
4-6-0	Last 10 Games	9-1-0
3.60	Goals Per Game	5.00
4.00	Goals Against Per Game	2.80
29.63%	Power Play Percentage	32.35%
68.97%	Penalty Kill Percentage	54.55%

Team Leaders




	Wins Ville Husso 6	Save Percentage Ville Husso 0.94

Team Stats
Goals For 50 5.00 GFG	Shots For 369 36.90 Avg	Power Play Percentage 32.4% 11 GF	Offensive Zone Start 36.3%
Goals Against 28 2.80 GAA	Shots Against 400 40.00 Avg	Penalty Kill Percentage 54.5% 10 GA	Defensive Zone Start 37.5%

Team Info
	General Manager	Jean-Luc Gascon
	Coach	Greg Moore
	Division	Marcel Dionne
	Conference	Conference 1
	Captain	Jacob de La Rose
	Assistant #1	Rocco Grimaldi
	Assistant #2	Miikka Salomaki
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	30
	Farm Team	20
	Contract Limit	50 / 55
	Prospects	32

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
1	Jacob de La Rose (C)	X	X			100.00	82	45	84	77	80	56	51	61	64	58	55	82	25	64	65	63	59	63	0	26	1	850,000$
2	Rocco Grimaldi (A)	X	X	X		100.00	65	41	96	80	61	63	80	61	25	58	76	63	25	62	63	70	52	63	0	28	2	2,000,000$
3	Clark Bishop	X				100.00	83	45	90	61	72	54	62	64	71	68	55	76	25	57	58	62	60	61	0	25	1	800,000$
4	Joachim Blichfeld		X	X		100.00	71	69	75	66	69	62	62	66	50	59	69	63	66	44	44	66	60	60	0	22	1	750,000$
5	Dylan Sikura	X	X	X		100.00	68	63	79	61	63	69	71	64	50	59	65	62	62	48	48	64	60	59	0	26	1	800,000$
6	Raphael Lavoie (R)	X		X		100.00	75	75	76	68	75	60	61	60	75	53	62	64	59	44	44	62	60	59	0	20	3	870,000$
7	Nolan Stevens	X	X			100.00	76	70	90	65	70	62	63	62	78	61	58	65	55	44	44	63	60	59	0	24	1	750,000$
8	Miikka Salomaki (A)	X	X	X		100.00	75	72	82	73	72	62	64	56	50	59	46	66	44	57	59	58	60	58	0	28	1	750,000$
9	Scott Wilson	X	X	X		100.00	72	64	91	73	64	51	51	56	50	53	51	65	48	58	59	58	60	57	0	29	1	750,000$
10	Maxim Letunov	X				100.00	76	71	88	62	71	65	67	57	71	44	65	63	62	44	44	62	60	57	0	25	1	750,000$
11	Antoine Morand	X				100.00	70	66	79	67	66	70	74	57	71	56	54	60	51	44	44	59	60	57	0	22	3	778,333$
12	Jonathan Gruden (R)		X			100.00	71	64	87	61	64	67	70	57	50	53	57	61	54	44	44	60	46	56	0	21	3	788,333$
13	Bokondji Imama		X			100.00	72	80	52	60	80	63	65	56	50	47	60	61	57	44	44	59	47	56	0	24	1	750,000$
14	Jamie Drysdale (R)				X	100.00	61	41	91	86	64	78	70	69	25	55	54	71	25	46	46	62	57	64	0	19	3	925,000$
15	Jakub Zboril				X	100.00	80	44	87	66	73	71	77	63	25	55	47	62	75	55	55	62	60	62	0	24	2	725,000$
16	Libor Hajek				X	100.00	67	43	92	67	75	67	75	54	25	44	48	70	25	54	54	57	60	61	0	23	1	833,333$
17	Otto Leskinen				X	100.00	72	67	84	74	67	67	71	53	25	52	40	60	38	44	44	55	63	58	0	24	1	1,017,500$
18	Reilly Walsh (R)				X	100.00	74	68	88	59	68	58	59	55	25	46	49	62	47	44	44	56	60	56	0	22	3	925,000$
19	Josh Maniscalco (R)				X	100.00	79	76	85	60	76	47	49	41	25	28	39	61	37	44	44	48	48	53	0	22	1	700,000$
Scratches
1	Gabriel Fortier (R)	X	X			100.00	73	62	97	66	62	67	71	54	68	46	58	61	55	44	44	60	44	56	0	21	3	791,667$
2	Brayden Burke		X	X		100.00	67	60	83	62	60	62	64	55	50	61	45	58	43	44	44	55	40	54	0	24	1	750,000$
3	Ridly Greig (R)		X			100.00	69	60	90	62	60	55	55	57	50	56	53	60	50	44	44	58	44	54	0	18	3	925,000$
4	Pascal Laberge	X				100.00	74	65	95	64	65	55	56	53	66	43	58	61	55	44	44	59	40	54	0	23	1	780,833$
5	Tye Felhaber	X	X			100.00	70	67	76	63	67	61	64	51	64	46	51	59	48	44	44	55	40	53	0	22	3	925,000$
6	Tristen Mullin (R)	X	X	X		100.00	74	73	77	58	73	50	50	53	66	43	58	61	55	44	44	57	40	53	0	24	1	700,000$
7	Pavel Shen	X				100.00	72	68	82	65	68	51	52	50	63	49	46	60	44	44	44	54	40	52	0	21	3	809,167$
8	Hugh McGing (R)	X	X			100.00	69	61	89	67	61	54	56	49	61	41	51	58	48	44	44	54	40	52	0	22	2	925,000$

	TEAM AVERAGE					100.00	72	62	85	66	68	61	63	57	52	52	54	64	47	48	48	59	53	57

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
1	Adam Werner (R)	100.00	57	56	70	82	58	61	55	62	61	60	30	44	44	58	60	59	0	26	1	750,000$
2	Ville Husso	100.00	57	63	66	81	60	55	58	59	61	58	62	45	45	59	60	59	0	26	1	750,000$
Scratches
1	Aaron Dell	100.00	52	56	65	74	49	51	55	57	54	53	44	57	57	54	40	55	0	32	1	750,000$

	TEAM AVERAGE	100.00	55	58	67	79	56	56	56	59	59	57	45	49	49	57	53	58

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Greg Moore	62	60	71	73	57	54	88	USA	37	1	60,000$

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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	FW	FL	FT	S1	S2	S3
1	Jacob de La Rose	Chicoutimi Sagueneens (FLA)	C/LW	9	8	14	22	14	8	0	13	23	34	12	25	23.53%	11	215	23.94	2	5	7	4	22	0	11	1	1	53.99%	263	14	7	0	0	2.04	0	0	0	1	2	1
2	Joachim Blichfeld	Chicoutimi Sagueneens (FLA)	LW/RW	10	9	12	21	14	8	0	18	6	44	16	30	20.45%	4	201	20.12	0	5	5	6	28	0	4	0	0	50.00%	14	9	5	0	0	2.09	0	0	0	2	2	1
3	Dylan Sikura	Chicoutimi Sagueneens (FLA)	C/LW/RW	10	8	7	15	9	6	0	19	10	32	15	29	25.00%	2	190	19.05	3	3	6	10	25	0	0	1	0	40.00%	10	5	1	0	0	1.58	0	0	0	1	1	3
4	Rocco Grimaldi	Chicoutimi Sagueneens (FLA)	C/LW/RW	5	8	5	13	8	0	0	3	3	42	9	14	19.05%	1	102	20.53	2	1	3	4	14	0	9	3	0	83.33%	6	7	1	1	1	2.53	0	0	0	3	0	0
5	Clark Bishop	Chicoutimi Sagueneens (FLA)	C	10	5	5	10	8	0	0	22	17	26	8	17	19.23%	8	181	18.12	0	1	1	1	19	1	10	0	1	61.31%	137	2	6	0	0	1.10	0	0	0	0	0	2
6	Jamie Drysdale	Chicoutimi Sagueneens (FLA)	D	9	2	7	9	9	11	5	9	16	37	15	10	5.41%	18	235	26.15	2	4	6	4	23	1	14	0	1	0.00%	0	5	14	0	0	0.76	0	1	0	0	1	0
7	Nolan Stevens	Chicoutimi Sagueneens (FLA)	C/LW	10	5	2	7	7	0	0	10	8	26	12	13	19.23%	5	166	16.67	1	0	1	1	15	0	2	2	0	44.44%	9	6	6	0	0	0.84	0	0	0	0	0	1
8	Jakub Zboril	Chicoutimi Sagueneens (FLA)	D	10	1	5	6	10	2	0	16	15	18	1	4	5.56%	16	260	26.10	1	1	2	3	29	0	16	0	0	0.00%	0	0	15	0	0	0.46	0	0	0	0	0	0
9	Miikka Salomaki	Chicoutimi Sagueneens (FLA)	C/LW/RW	10	1	4	5	1	2	0	8	11	18	7	9	5.56%	3	153	15.34	0	0	0	1	7	0	4	0	0	18.18%	11	4	3	0	0	0.65	0	0	0	0	0	0
10	Libor Hajek	Chicoutimi Sagueneens (FLA)	D	10	0	4	4	8	0	0	4	12	5	5	5	0.00%	15	200	20.04	0	0	0	0	19	0	10	0	0	0.00%	0	4	6	0	0	0.40	0	0	0	0	0	0
11	Raphael Lavoie	Chicoutimi Sagueneens (FLA)	C/RW	10	1	2	3	-4	6	0	13	8	21	5	17	4.76%	6	142	14.29	0	0	0	0	4	0	2	0	0	63.64%	55	7	3	0	0	0.42	0	0	0	0	0	0
12	Maxim Letunov	Chicoutimi Sagueneens (FLA)	C	10	0	2	2	4	0	0	10	7	11	0	6	0.00%	1	63	6.33	0	0	0	0	0	0	0	0	0	52.63%	19	1	2	0	0	0.63	0	0	0	0	0	0
13	Otto Leskinen	Chicoutimi Sagueneens (FLA)	D	10	0	1	1	7	7	5	9	14	8	6	4	0.00%	8	196	19.65	0	0	0	3	19	0	10	0	0	0.00%	0	3	9	0	0	0.10	1	0	0	0	0	0
14	Jonathan Gruden	Chicoutimi Sagueneens (FLA)	LW	1	1	0	1	2	0	0	1	0	2	1	0	50.00%	0	6	6.48	0	0	0	0	0	0	0	1	0	0.00%	0	0	0	0	0	3.08	0	0	0	0	1	0
15	Ridly Greig	Chicoutimi Sagueneens (FLA)	LW	2	0	1	1	1	0	0	0	3	2	1	1	0.00%	0	15	7.95	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	1.26	0	0	0	0	0	0
16	Antoine Morand	Chicoutimi Sagueneens (FLA)	C	10	0	1	1	5	2	0	6	1	2	0	1	0.00%	0	43	4.31	0	0	0	0	2	0	1	0	0	53.85%	13	0	0	0	0	0.46	0	0	0	0	0	0
17	Reilly Walsh	Chicoutimi Sagueneens (FLA)	D	10	0	1	1	4	0	0	5	3	4	4	2	0.00%	9	133	13.30	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.15	0	0	0	0	0	0
18	Scott Wilson	Chicoutimi Sagueneens (FLA)	C/LW/RW	10	0	0	0	-3	0	0	8	3	22	12	12	0.00%	2	112	11.25	0	0	0	0	0	0	1	0	0	50.00%	10	5	5	0	0	0.00	0	0	0	0	0	0
19	Gabriel Fortier	Chicoutimi Sagueneens (FLA)	C/LW	2	0	0	0	0	0	0	0	0	1	0	1	0.00%	0	11	5.74	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0
20	Bokondji Imama	Chicoutimi Sagueneens (FLA)	LW	3	0	0	0	0	0	0	0	1	0	0	0	0.00%	0	4	1.64	0	0	0	0	0	0	2	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0
21	Josh Maniscalco	Chicoutimi Sagueneens (FLA)	D	3	0	0	0	1	5	5	2	1	0	0	0	0.00%	1	21	7.02	0	0	0	0	0	0	0	0	0	0.00%	0	0	2	0	0	0.00	0	0	1	0	0	0
Team Total or Average				164	49	73	122	105	57	15	176	162	355	129	200	13.80%	110	2658	16.21	11	20	31	37	232	2	105	8	3	55.76%	547	72	86	1	1	0.92	1	1	1	7	7	8

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	PCT	GAA	MP	GA	SA	SAR	ST	BG	S1	S2	S3
1	Ville Husso	Chicoutimi Sagueneens (FLA)	7	6	1	0.940	2.29	420	16	265	167	7	3	2	1	1
2	Adam Werner	Chicoutimi Sagueneens (FLA)	3	3	0	0.911	4.00	180	12	135	77	3	7	0	0	0
Team Total or Average			10	9	1	0.930	2.80	600	28	400	244	10	10	2	1	1

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 Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Aaron Dell	Chicoutimi Sagueneens (FLA)	G	32	1989-05-04	No	209 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Adam Werner	Chicoutimi Sagueneens (FLA)	G	26	1995-01-01	Yes	202 Lbs	6 ft5	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Antoine Morand	Chicoutimi Sagueneens (FLA)	C	22	1999-02-18	No	184 Lbs	5 ft11	No	No	No	3	Pro & Farm	778,333$	0$	0$	No	778,333$	778,333$	Link
Bokondji Imama	Chicoutimi Sagueneens (FLA)	LW	24	1996-08-02	No	221 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Brayden Burke	Chicoutimi Sagueneens (FLA)	LW/RW	24	1997-01-01	No	165 Lbs	5 ft10	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Clark Bishop	Chicoutimi Sagueneens (FLA)	C	25	1996-03-28	No	199 Lbs	6 ft1	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Link
Dylan Sikura	Chicoutimi Sagueneens (FLA)	C/LW/RW	26	1995-06-01	No	170 Lbs	5 ft11	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Link
Gabriel Fortier	Chicoutimi Sagueneens (FLA)	C/LW	21	2000-02-06	Yes	174 Lbs	5 ft10	No	No	No	3	Pro & Farm	791,667$	0$	0$	No	791,667$	791,667$
Hugh McGing	Chicoutimi Sagueneens (FLA)	C/LW	22	1998-07-11	Yes	174 Lbs	5 ft9	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$
Jacob de La Rose	Chicoutimi Sagueneens (FLA)	C/LW	26	1995-05-20	No	215 Lbs	6 ft3	No	No	No	1	Pro & Farm	850,000$	0$	0$	No			Link
Jakub Zboril	Chicoutimi Sagueneens (FLA)	D	24	1997-02-21	No	200 Lbs	6 ft0	No	No	No	2	Pro & Farm	725,000$	0$	0$	No	725,000$		Link
Jamie Drysdale	Chicoutimi Sagueneens (FLA)	D	19	2002-04-08	Yes	175 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$
Joachim Blichfeld	Chicoutimi Sagueneens (FLA)	LW/RW	22	1998-07-17	No	180 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Jonathan Gruden	Chicoutimi Sagueneens (FLA)	LW	21	2000-05-03	Yes	172 Lbs	6 ft0	No	No	No	3	Pro & Farm	788,333$	0$	0$	No	788,333$	788,333$
Josh Maniscalco	Chicoutimi Sagueneens (FLA)	D	22	1999-02-17	Yes	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link
Libor Hajek	Chicoutimi Sagueneens (FLA)	D	23	1998-02-04	No	203 Lbs	6 ft2	No	No	No	1	Pro & Farm	833,333$	0$	0$	No			Link
Maxim Letunov	Chicoutimi Sagueneens (FLA)	C	25	1996-02-20	No	180 Lbs	6 ft4	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Miikka Salomaki	Chicoutimi Sagueneens (FLA)	C/LW/RW	28	1993-03-09	No	203 Lbs	5 ft11	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Nolan Stevens	Chicoutimi Sagueneens (FLA)	C/LW	24	1996-07-22	No	183 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Otto Leskinen	Chicoutimi Sagueneens (FLA)	D	24	1997-02-06	No	187 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,017,500$	0$	0$	No			Link
Pascal Laberge	Chicoutimi Sagueneens (FLA)	C	23	1998-04-09	No	172 Lbs	6 ft1	No	No	No	1	Pro & Farm	780,833$	0$	0$	No			Link
Pavel Shen	Chicoutimi Sagueneens (FLA)	C	21	1999-08-14	No	183 Lbs	6 ft1	No	No	No	3	Pro & Farm	809,167$	0$	0$	No	809,167$	809,167$	Link
Raphael Lavoie	Chicoutimi Sagueneens (FLA)	C/RW	20	2000-09-25	Yes	198 Lbs	6 ft4	No	No	No	3	Pro & Farm	870,000$	0$	0$	No	870,000$	870,000$
Reilly Walsh	Chicoutimi Sagueneens (FLA)	D	22	1999-04-21	Yes	185 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$
Ridly Greig	Chicoutimi Sagueneens (FLA)	LW	18	2002-08-08	Yes	163 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Link
Rocco Grimaldi	Chicoutimi Sagueneens (FLA)	C/LW/RW	28	1993-02-08	No	180 Lbs	5 ft6	No	No	No	2	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$		Link
Scott Wilson	Chicoutimi Sagueneens (FLA)	C/LW/RW	29	1992-04-24	No	177 Lbs	5 ft11	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Tristen Mullin	Chicoutimi Sagueneens (FLA)	C/LW/RW	24	1996-09-10	Yes	196 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link
Tye Felhaber	Chicoutimi Sagueneens (FLA)	C/LW	22	1998-08-04	No	189 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Link
Ville Husso	Chicoutimi Sagueneens (FLA)	G	26	1995-02-05	No	205 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
30	23.77	188 Lbs	6 ft0	1.70	845,639$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Rocco Grimaldi	Jacob de La Rose	Joachim Blichfeld	38	1	2	2
2	Dylan Sikura	Clark Bishop	Raphael Lavoie	32	1	2	2
3	Miikka Salomaki	Nolan Stevens	Scott Wilson	22	1	2	2
4	Jonathan Gruden	Maxim Letunov	Jacob de La Rose	8	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jamie Drysdale	Jakub Zboril	40	1	2	2
2	Libor Hajek	Otto Leskinen	32	1	2	2
3	Reilly Walsh	Josh Maniscalco	22	1	2	2
4	Jamie Drysdale	Jakub Zboril	6	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Rocco Grimaldi	Jacob de La Rose	Joachim Blichfeld	60	1	2	2
2	Dylan Sikura	Clark Bishop	Raphael Lavoie	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jamie Drysdale	Jakub Zboril	60	1	2	2
2	Libor Hajek	Otto Leskinen	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jacob de La Rose	Rocco Grimaldi	60	1	2	2
2	Clark Bishop	Joachim Blichfeld	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jamie Drysdale	Jakub Zboril	60	1	2	2
2	Libor Hajek	Otto Leskinen	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jacob de La Rose	60	1	2	2	Jamie Drysdale	Jakub Zboril	60	1	2	2
2	Rocco Grimaldi	40	1	2	2	Libor Hajek	Otto Leskinen	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jacob de La Rose	Rocco Grimaldi	60	1	2	2
2	Clark Bishop	Joachim Blichfeld	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jamie Drysdale	Jakub Zboril	60	1	2	2
2	Libor Hajek	Otto Leskinen	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Rocco Grimaldi	Jacob de La Rose	Joachim Blichfeld	Jamie Drysdale	Jakub Zboril

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Rocco Grimaldi	Jacob de La Rose	Joachim Blichfeld	Jamie Drysdale	Jakub Zboril

Extra Forwards
Normal	PowerPlay	Penalty Kill
Antoine Morand, Bokondji Imama, Nolan Stevens	Antoine Morand, Bokondji Imama	Nolan Stevens

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Reilly Walsh, Josh Maniscalco, Libor Hajek	Reilly Walsh	Josh Maniscalco, Libor Hajek

Penalty Shots
Jacob de La Rose, Rocco Grimaldi, Clark Bishop, Joachim Blichfeld, Dylan Sikura

Goalie
#1 : Ville Husso, #2 : Adam Werner

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	Bridgeport Sound Tigers	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	11	19	0	0	13	17	20	0	82	101	118	150	0	80	15	10	44	4	0	0.00%	5	1	80.00%	0	122	207	58.94%	111	214	51.87%	81	149	54.36%	214	117	207	85	177	94
2	Chicago Wolves	3	3	0	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	3	1	2	6	1.000	13	19	32	0	0	13	17	20	0	113	101	118	150	0	110	49	27	67	10	2	20.00%	6	2	66.67%	0	122	207	58.94%	111	214	51.87%	81	149	54.36%	214	117	207	85	177	94
3	Grand Rapids Griffins	2	2	0	0	0	0	0	0	17	6	11	1	1	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	8	2	6	4	1.000	17	26	43	0	0	13	17	20	0	58	101	118	150	0	78	24	0	26	11	5	45.45%	0	0	0.00%	0	122	207	58.94%	111	214	51.87%	81	149	54.36%	214	117	207	85	177	94
4	Philadelphia Phantoms	2	2	0	0	0	0	0	0	10	8	2	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	7	6	1	4	1.000	10	17	27	0	0	13	17	20	0	85	101	118	150	0	90	24	14	41	8	3	37.50%	7	5	28.57%	0	122	207	58.94%	111	214	51.87%	81	149	54.36%	214	117	207	85	177	94
5	TroisRivieres Lions	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	13	17	20	0	31	101	118	150	0	42	8	8	14	1	1	100.00%	4	2	50.00%	0	122	207	58.94%	111	214	51.87%	81	149	54.36%	214	117	207	85	177	94
	Total	10	9	1	0	0	0	0	0	50	28	22	5	5	0	0	0	0	0	0	26	13	13	5	4	1	0	0	0	0	0	24	15	9	18	0.900	50	76	126	0	0	13	17	20	0	369	101	118	150	0	400	120	59	192	34	11	32.35%	22	10	54.55%	0	122	207	58.94%	111	214	51.87%	81	149	54.36%	214	117	207	85	177	94
	_Since Last GM Reset	10	9	1	0	0	0	0	0	50	28	22	5	5	0	0	0	0	0	0	26	13	13	5	4	1	0	0	0	0	0	24	15	9	18	0.900	50	76	126	0	0	13	17	20	0	369	101	118	150	0	400	120	59	192	34	11	32.35%	22	10	54.55%	0	122	207	58.94%	111	214	51.87%	81	149	54.36%	214	117	207	85	177	94
	_Vs Conference	9	9	0	0	0	0	0	0	48	24	24	5	5	0	0	0	0	0	0	26	13	13	4	4	0	0	0	0	0	0	22	11	11	18	1.000	48	73	121	0	0	13	17	20	0	338	101	118	150	0	358	112	51	178	33	10	30.30%	18	8	55.56%	0	122	207	58.94%	111	214	51.87%	81	149	54.36%	214	117	207	85	177	94

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
10	18	W4	50	76	126	369	400	120	59	192	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	9	1	0	0	0	0	50	28

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	5	0	0	0	0	0	26	13

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	4	1	0	0	0	0	24	15

Last 10 Games
W	L	OTW	OTL	SOW	SOL
9	1	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
34	11	32.35%	22	10	54.55%	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
101	118	150	0	13	17	20	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
122	207	58.94%	111	214	51.87%	81	149	54.36%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
214	117	207	85	177	94

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	Link
1 - 2021-09-13	11	Chicoutimi Sagueneens	4	Bridgeport Sound Tigers	2	AW	BoxScore
2 - 2021-09-14	21	Bridgeport Sound Tigers	1	Chicoutimi Sagueneens	4	BW	BoxScore
3 - 2021-09-15	37	Chicoutimi Sagueneens	3	Chicago Wolves	1	AW	BoxScore
5 - 2021-09-17	60	Grand Rapids Griffins	4	Chicoutimi Sagueneens	9	BW	BoxScore
6 - 2021-09-18	73	Philadelphia Phantoms	2	Chicoutimi Sagueneens	3	BW	BoxScore
7 - 2021-09-19	92	Chicoutimi Sagueneens	2	TroisRivieres Lions	4	AL	BoxScore
8 - 2021-09-20	105	Chicoutimi Sagueneens	7	Philadelphia Phantoms	6	AW	BoxScore
9 - 2021-09-21	115	Chicoutimi Sagueneens	8	Grand Rapids Griffins	2	AW	BoxScore
10 - 2021-09-22	125	Chicago Wolves	4	Chicoutimi Sagueneens	6	BW	BoxScore
12 - 2021-09-24	146	Chicago Wolves	2	Chicoutimi Sagueneens	4	BW	BoxScore

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
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,536,916$	2,500,683$	0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Chicoutimi Sagueneens 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

Chicoutimi Sagueneens 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

Chicoutimi Sagueneens 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

Chicoutimi Sagueneens 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

Chicoutimi Sagueneens 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

	Chicoutimi Sagueneens
	GP: 10 \| W: 9 \| L: 1 \| OTL: 0 \| P: 18 GF: 50 \| GA: 28 \| PP%: 32.35% \| PK%: 54.55% GM : Jean-Luc Gascon \| Morale : 58 \| Team Overall : 57