Quebec Nordiques
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Career Team Stats

Game Center
	Butter Knives 27-37-8, 62pts	7	FINAL	9	Lynx 37-34-1, 75pts

Team Stats
L8	Streak	W3
16-17-4	Home Record	18-18-1
11-20-4	Home Record	19-16-0
0-9-1	Last 10 Games	4-6-0
4.60	Goals Per Game	4.00
5.21	Goals Against Per Game	4.13
20.55%	Power Play Percentage	29.86%
74.74%	Penalty Kill Percentage	82.67%

Lynx
37-34-1, 75pts

FINAL

Fighting Pandas
42-24-9, 93pts

Team Stats
W3	Streak	L2
18-18-1	Home Record	20-11-6
19-16-0	Home Record	22-13-3
4-6-0	Last 10 Games	4-5-1
4.00	Goals Per Game	4.31
4.13	Goals Against Per Game	3.53
29.86%	Power Play Percentage	26.75%
82.67%	Penalty Kill Percentage	79.29%

Lynx
37-34-1, 75pts

Day 160

Broncos
31-29-12, 74pts

Team Stats
W3	Streak	OTL1
18-18-1	Home Record	17-17-3
19-16-0	Away Record	14-12-9
4-6-0	Last 10 Games	5-2-3
4.00	Goals Per Game	3.63
4.13	Goals Against Per Game	3.63
29.86%	Power Play Percentage	25.17%
82.67%	Penalty Kill Percentage	65.41%

Americiens
43-26-3, 89pts

Day 162

Lynx
37-34-1, 75pts

Team Stats
W2	Streak	W3
22-13-2	Home Record	18-18-1
21-13-1	Away Record	19-16-0
7-3-0	Last 10 Games	4-6-0
5.15	Goals Per Game	4.00
4.68	Goals Against Per Game	4.00
27.39%	Power Play Percentage	29.86%
72.57%	Penalty Kill Percentage	82.67%

Lynx
37-34-1, 75pts

Day 165

Quacken
40-29-3, 83pts

Team Stats
W3	Streak	W2
18-18-1	Home Record	24-13-0
19-16-0	Away Record	16-16-3
4-6-0	Last 10 Games	7-3-0
4.00	Goals Per Game	3.82
4.13	Goals Against Per Game	3.82
29.86%	Power Play Percentage	29.93%
82.67%	Penalty Kill Percentage	77.70%

Team Leaders
	Goals Kirby Dach 63	Assists Kirby Dach 60

	Points Kirby Dach 123	Plus/Minus Kirby Dach 19

	Wins Joel Blomqvist 20	Save Percentage Pyotr Kochetkov 0.923

Team Stats
Goals For 288 4.00 GFG	Shots For 2154 29.92 Avg	Power Play Percentage 29.9% 43 GF	Offensive Zone Start 37.2%
Goals Against 297 4.13 GAA	Shots Against 2705 37.57 Avg	Penalty Kill Percentage 82.7%% 13 GA	Defensive Zone Start 41.2%

Team Info
	General Manager	Chris Ralph
	Coach	Mats Sundin
	Division	Atlantic
	Conference	Eastern Conference
	Captain	Mathew Barzal
	Assistant #1	Kirby Dach
	Assistant #2	Alex Turcotte
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	15
	Farm Team	20
	Contract Limit	35 / 50
	Prospects	37

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Mathew Barzal (C)	X		X		100.00	65	55	93	68	68	84	62	72	55	77	68	62	53	68	71	0	64	66	0	28	1	1,500,000$
2	Kirby Dach (A)	X		X		100.00	80	61	68	72	81	77	74	73	56	70	70	56	62	62	63	0	82	65	0	25	4	500,000$
3	Alex Turcotte (A)	X	X	X		100.00	64	56	87	69	67	69	80	73	59	70	65	60	50	62	63	0	75	64	0	25	2	500,000$
4	Juha Jaaska		X			100.00	65	68	89	59	75	57	53	59	58	60	51	54	50	67	67	0	53	56	0	28	1	500,000$
5	Tim Washe	X				100.00	51	35	90	59	79	50	50	50	50	51	49	49	50	63	62	0	67	52	0	24	1	500,000$
6	Jacob Gaucher	X				100.00	49	35	90	59	68	50	50	50	58	51	50	47	50	64	63	0	72	51	0	25	1	500,000$
7	Jacob Melanson			X		100.00	56	35	90	59	76	50	50	49	50	49	51	46	50	58	59	0	70	51	0	22	1	500,000$
8	Jacob Quillan	X				100.00	50	35	90	59	75	50	50	49	49	50	50	48	50	58	60	0	73	51	0	24	1	500,000$
9	Chase Bradley		X			100.00	50	35	90	59	65	50	50	49	50	50	50	46	50	59	60	0	68	50	0	24	1	500,000$
10	Adam Wilsby (R)				X	100.00	65	57	87	61	67	71	58	69	50	64	54	72	55	64	67	0	60	62	0	25	1	500,000$
11	Oliver Kylington				X	100.00	50	59	79	57	65	47	55	61	50	56	51	61	55	68	68	0	59	56	0	28	1	500,000$
12	Ian Moore (R)				X	100.00	49	35	95	59	75	50	52	51	50	51	51	50	55	60	64	0	58	53	0	24	1	500,000$
Scratches

	TEAM AVERAGE					100.00	58	47	87	62	72	59	57	59	53	58	55	54	53	63	64	0	67	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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Pyotr Kochetkov	100.00	81	83	82	73	82	87	80	83	81	79	63	64	69	0	77	77	0	26	2	500,000$
2	Joel Blomqvist (R)	100.00	63	67	66	75	64	53	56	56	54	50	50	58	60	0	10	59	0	24	1	550,000$
Scratches
1	Nikita Tolopilo (R)	100.00	50	61	59	84	50	50	50	50	50	50	50	60	60	0	20	55	0	25	1	500,000$

	TEAM AVERAGE	100.00	65	70	69	77	65	63	62	63	62	60	54	61	63	0	36	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mats Sundin	85	95	95	90	60	60	1	SWE	54	5	500,000$

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FL	S1	S2	S3
1	Kirby Dach	Lynx (QUE)	C/RW	72	63	60	123	19	29	5	183	142	353	86	266	17.85%	16	1626	22.59	7	14	21	44	135	1	32	4	5	55.30%	613	1	3	1.51	0	2	1	12	11	7
2	Alex Turcotte	Lynx (QUE)	C/LW/RW	72	41	40	81	-13	10	0	94	167	320	85	233	12.81%	34	1519	21.10	10	7	17	27	93	0	26	2	3	53.31%	302	0	0	1.07	1	1	0	8	3	2
3	Mathew Barzal	Lynx (QUE)	C/RW	54	21	53	74	7	6	0	41	143	228	67	192	9.21%	34	1386	25.68	0	11	11	21	89	0	49	5	2	54.10%	1133	0	0	1.07	0	4	0	3	7	3
4	Shane Wright	Quebec Nordiques	C/LW	28	29	32	61	31	2	0	15	71	165	40	128	17.58%	11	672	24.03	3	2	5	17	49	2	34	3	3	58.18%	330	0	1	1.81	0	0	0	4	5	7
5	Adam Wilsby	Lynx (QUE)	D	54	14	43	57	-6	18	0	92	87	84	34	50	16.67%	118	1289	23.88	5	9	14	27	85	0	42	2	1	50.00%	2	1	0	0.88	0	0	0	2	4	7
6	Luke Hughes	Quebec Nordiques	D	24	5	34	39	1	10	0	21	45	43	6	28	11.63%	39	651	27.13	3	9	12	17	46	0	21	2	0	0%	0	0	0	1.20	0	0	0	2	0	4
7	Juha Jaaska	Lynx (QUE)	LW	63	12	23	35	-21	8	0	70	109	133	34	87	9.02%	20	1338	21.25	2	4	6	11	69	0	15	0	0	51.03%	435	0	0	0.52	1	1	0	1	1	2
8	Jacob Gaucher	Lynx (QUE)	C	72	10	18	28	-32	0	0	43	122	98	23	81	10.20%	17	1382	19.20	0	1	1	1	14	0	9	0	0	53.70%	1270	0	0	0.41	0	0	0	1	0	1
9	Tim Washe	Lynx (QUE)	C	72	5	21	26	-26	6	0	42	75	58	14	33	8.62%	46	1554	21.60	0	4	4	3	21	0	7	0	1	48.85%	868	0	0	0.33	0	0	0	0	0	2
10	Ian Moore	Lynx (QUE)	D	64	4	19	23	-11	6	0	36	38	36	10	25	11.11%	78	1201	18.77	0	0	0	1	16	0	15	1	1	33.33%	9	0	0	0.38	0	0	0	0	1	1
11	Chase Bradley	Lynx (QUE)	LW	72	6	14	20	-42	4	0	52	47	74	35	58	8.11%	22	1402	19.47	0	0	0	1	9	0	2	1	0	50.65%	77	0	0	0.29	0	0	0	0	0	0
12	Jacob Melanson	Lynx (QUE)	RW	72	13	6	19	-42	6	0	51	51	93	26	64	13.98%	8	1453	20.19	0	0	0	4	59	0	2	5	0	52.88%	191	0	0	0.26	2	4	0	3	0	0
13	Jacob Quillan	Lynx (QUE)	C	61	7	11	18	-32	4	0	53	50	39	12	37	17.95%	49	1069	17.54	0	0	0	0	1	0	0	2	0	42.13%	451	0	0	0.34	0	0	0	0	2	0
14	Oliver Kylington	Lynx (QUE)	D	35	3	6	9	-1	8	0	35	25	26	7	27	11.54%	46	710	20.31	0	0	0	2	50	0	28	0	0	100.00%	2	0	0	0.25	0	0	0	0	0	0
Team Total or Average				815	233	380	613	-168	117	5	828	1172	1750	479	1309	13.31%	538	17259	21.18	30	61	91	176	741	3	291	27	16	52.24%	5683	2	4	0.71	4	12	1	36	34	36

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	A	PS %	PSA	ST	BG	S1	S2	S3
1	Joel Blomqvist	Lynx (QUE)	54	20	26	1	0.871	4.99	2660	2	1	221	1708	0	0.833	6	51	72	0	1	0
2	Pyotr Kochetkov	Lynx (QUE)	21	16	5	0	0.923	2.57	1214	4	2	52	672	3	0.800	5	21	0	2	2	2
Team Total or Average			75	36	31	1	0.885	4.23	3874	6	3	273	2380	3		11	72	72	2	3	2

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 Wilsby	Lynx (QUE)	D	25	2000-08-07	SWE	Yes	188 Lbs	6 ft1	No	No	Free Agent	No	No	1	2025-08-24	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Alex Turcotte	Lynx (QUE)	C/LW/RW	25	2001-02-26	USA	No	185 Lbs	5 ft11	No	No	N/A	No	No	2		False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Chase Bradley	Lynx (QUE)	LW	24	2002-01-09	USA	No	180 Lbs	5 ft11	No	No	Free Agent	No	No	1	2025-08-24	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ian Moore	Lynx (QUE)	D	24	2002-01-04	USA	Yes	203 Lbs	6 ft3	No	No	Free Agent	No	No	1	2025-08-19	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jacob Gaucher	Lynx (QUE)	C	25	2001-03-09	CAN	No	185 Lbs	6 ft3	No	No	Free Agent	No	No	1	2025-08-24	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jacob Melanson	Lynx (QUE)	RW	22	2003-04-22	CAN	No	207 Lbs	6 ft0	No	No	Free Agent	No	No	1	2025-08-18	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jacob Quillan	Lynx (QUE)	C	24	2002-02-02	CAN	No	204 Lbs	6 ft1	No	No	Free Agent	No	No	1	2025-08-24	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Joel Blomqvist	Lynx (QUE)	G	24	2002-01-10	FIN	Yes	200 Lbs	6 ft3	No	No	Free Agent	No	No	1	2025-08-07	False	False	Pro & Farm	550,000$	55,000$	6,417$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Juha Jaaska	Lynx (QUE)	LW	28	1998-02-09	FIN	No	210 Lbs	6 ft0	No	No	Free Agent	No	No	1	2025-08-24	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kirby Dach	Lynx (QUE)	C/RW	25	2001-01-21	CAN	No	221 Lbs	6 ft4	No	No	Free Agent	No	No	4	2025-07-23	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Mathew Barzal	Lynx (QUE)	C/RW	28	1997-05-26	CAN	No	190 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	1,500,000$	150,000$	17,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Nikita Tolopilo	Lynx (QUE)	G	25	2000-04-06	BLR	Yes	229 Lbs	6 ft6	No	No	Free Agent	No	No	1	2025-08-09	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Oliver Kylington	Lynx (QUE)	D	28	1997-05-19	SWE	No	183 Lbs	6 ft0	No	No	Free Agent	No	No	1	2025-08-29	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Pyotr Kochetkov	Lynx (QUE)	G	26	1999-06-25	RUS	No	193 Lbs	6 ft3	No	No	N/A	No	No	2		False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Tim Washe	Lynx (QUE)	C	24	2001-08-25	USA	No	215 Lbs	6 ft3	No	No	Free Agent	No	No	1	2025-08-24	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
15	25.13	200 Lbs	6 ft2	1.33	570,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Kirby Dach	40	0	1	4
2	Alex Turcotte	Tim Washe	Jacob Melanson	35	0	2	3
3	Juha Jaaska	Jacob Gaucher	Chase Bradley	20	1	1	3
4	Chase Bradley	Jacob Quillan		5	0	3	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			35	1	2	2
3	Ian Moore		25	1	2	2
4			0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Kirby Dach	60	0	0	5
2	Juha Jaaska	Alex Turcotte	Jacob Melanson	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	0	1	4
2			40	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	0	4	1
2	Kirby Dach	Alex Turcotte	40	0	4	1

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	4	0
2			40	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	4	0			60	1	4	0
2	Kirby Dach	40	1	4	0			40	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			53	0	2	3
2	Kirby Dach	Alex Turcotte	47	0	2	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	0	3	2
2			40	0	3	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		Kirby Dach

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		Kirby Dach

Extra Forwards
Normal	PowerPlay	Penalty Kill
Juha Jaaska, Jacob Melanson, Jacob Gaucher	Juha Jaaska, Jacob Melanson	Juha Jaaska

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, , Ian Moore		,

Penalty Shots
, , Kirby Dach, Alex Turcotte, Juha Jaaska

Goalie
#1 : , #2 : Joel Blomqvist

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Aces	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	4	2	2	2	0.500	7	10	17	0	0	110	85	86	8	57	674	709	754	29	44	16	2	26	5	0	0.00%	1	0	100.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
2	Admirals	4	2	2	0	0	0	0	0	22	20	2	1	1	0	0	0	0	0	0	7	2	5	3	1	2	0	0	0	0	0	15	18	-3	4	0.500	22	37	59	0	0	110	85	86	8	177	674	709	754	29	156	45	8	62	5	3	60.00%	4	0	100.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
3	Americiens	4	3	0	0	1	0	0	0	22	16	6	1	0	0	0	1	0	0	0	6	5	1	3	3	0	0	0	0	0	0	16	11	5	8	1.000	22	40	62	0	0	110	85	86	8	169	674	709	754	29	177	48	8	76	9	3	33.33%	4	0	100.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
4	Barons	2	1	0	0	1	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	1	0	0	0	3	2	1	4	1.000	7	12	19	0	0	110	85	86	8	59	674	709	754	29	52	26	2	22	1	0	0.00%	1	0	100.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
5	Barracuda	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	4	0	4	1	0	1	0	0	0	0	0	3	7	-4	2	0.500	7	14	21	0	1	110	85	86	8	62	674	709	754	29	71	22	2	19	4	1	25.00%	1	0	100.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
6	Broncos	2	1	1	0	0	0	0	0	5	9	-4	2	1	1	0	0	0	0	0	5	9	-4	0	0	0	0	0	0	0	0	0	0	0	2	0.500	5	8	13	0	0	110	85	86	8	50	674	709	754	29	62	24	4	18	3	2	66.67%	2	0	100.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
7	Bruins	6	3	3	0	0	0	0	0	25	24	1	3	0	3	0	0	0	0	0	11	17	-6	3	3	0	0	0	0	0	0	14	7	7	6	0.500	25	49	74	0	0	110	85	86	8	168	674	709	754	29	174	50	18	78	14	6	42.86%	9	2	77.78%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
8	Butter Knives	6	6	0	0	0	0	0	0	37	22	15	3	3	0	0	0	0	0	0	24	13	11	3	3	0	0	0	0	0	0	13	9	4	12	1.000	37	64	101	0	0	110	85	86	8	206	674	709	754	29	316	82	12	90	15	5	33.33%	5	3	40.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
9	Canucks	2	0	1	0	1	0	0	0	6	7	-1	1	0	0	0	1	0	0	0	5	4	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	6	11	17	0	0	110	85	86	8	38	674	709	754	29	54	21	6	15	3	2	66.67%	3	0	100.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
10	Fighting Pandas	6	1	5	0	0	0	0	0	21	33	-12	3	0	3	0	0	0	0	0	8	13	-5	3	1	2	0	0	0	0	0	13	20	-7	2	0.167	21	38	59	0	0	110	85	86	8	152	674	709	754	29	198	52	16	78	8	2	25.00%	7	1	85.71%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
11	Firebirds	4	2	0	0	0	0	1	1	18	11	7	2	0	0	0	0	0	1	1	7	7	0	2	2	0	0	0	0	0	0	11	4	7	7	0.875	18	32	50	0	0	110	85	86	8	105	674	709	754	29	111	32	8	50	10	5	50.00%	4	1	75.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
12	Griffins	3	0	3	0	0	0	0	0	12	19	-7	1	0	1	0	0	0	0	0	4	6	-2	2	0	2	0	0	0	0	0	8	13	-5	0	0.000	12	23	35	0	0	110	85	86	8	117	674	709	754	29	155	46	4	48	6	0	0.00%	2	1	50.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
13	Ice Bats	1	1	0	0	0	0	0	0	5	0	5	1	1	0	0	0	0	0	0	5	0	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	1	110	85	86	8	31	674	709	754	29	26	6	2	21	0	0	0%	1	0	100.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
14	Lions	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	7	13	20	0	0	110	85	86	8	62	674	709	754	29	109	21	4	35	7	1	14.29%	2	0	100.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
15	Marlies	6	2	4	0	0	0	0	0	11	26	-15	3	1	2	0	0	0	0	0	4	13	-9	3	1	2	0	0	0	0	0	7	13	-6	4	0.333	11	21	32	0	0	110	85	86	8	124	674	709	754	29	218	77	25	82	14	0	0.00%	10	2	80.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
16	Nordiks	2	1	1	0	0	0	0	0	12	11	1	1	0	1	0	0	0	0	0	6	9	-3	1	1	0	0	0	0	0	0	6	2	4	2	0.500	12	21	33	0	0	110	85	86	8	52	674	709	754	29	89	27	13	26	6	2	33.33%	4	0	100.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
17	Quacken	6	1	4	0	1	0	0	0	20	20	0	4	1	2	0	1	0	0	0	17	14	3	2	0	2	0	0	0	0	0	3	6	-3	4	0.333	20	35	55	0	1	110	85	86	8	180	674	709	754	29	158	56	8	73	13	3	23.08%	3	1	66.67%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
18	Roadrunners	4	1	1	0	0	0	2	0	14	13	1	2	0	0	0	0	0	2	0	7	5	2	2	1	1	0	0	0	0	0	7	8	-1	6	0.750	14	22	36	0	0	110	85	86	8	106	674	709	754	29	132	33	2	54	9	3	33.33%	1	0	100.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
19	Tomahawks	3	1	2	0	0	0	0	0	11	12	-1	2	0	2	0	0	0	0	0	6	11	-5	1	1	0	0	0	0	0	0	5	1	4	2	0.333	11	18	29	0	0	110	85	86	8	97	674	709	754	29	145	43	8	38	5	3	60.00%	4	0	100.00%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
20	Wombats	4	0	4	0	0	0	0	0	15	26	-11	2	0	2	0	0	0	0	0	6	14	-8	2	0	2	0	0	0	0	0	9	12	-3	0	0.000	15	26	41	0	0	110	85	86	8	116	674	709	754	29	218	52	18	80	4	1	25.00%	7	2	71.43%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
21	Wranglers	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	110	85	86	8	26	674	709	754	29	40	10	0	24	3	1	33.33%	0	0	0%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
	Total	72	30	34	0	4	0	3	1	288	297	-9	37	12	18	0	3	0	3	1	149	154	-5	35	18	16	0	1	0	0	0	139	143	-4	75	0.521	288	511	799	0	3	110	85	86	8	2154	674	709	754	29	2705	789	170	1015	144	43	29.86%	75	13	82.67%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
	_Since Last GM Reset	72	30	34	0	4	0	3	1	288	297	-9	37	12	18	0	3	0	3	1	149	154	-5	35	18	16	0	1	0	0	0	139	143	-4	75	0.521	288	511	799	0	3	110	85	86	8	2154	674	709	754	29	2705	789	170	1015	144	43	29.86%	75	13	82.67%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
	_Vs Conference	46	21	20	0	1	0	3	1	190	200	-10	22	6	11	0	1	0	3	1	85	98	-13	24	15	9	0	0	0	0	0	105	102	3	51	0.554	190	337	527	0	0	110	85	86	8	1373	674	709	754	29	1762	495	119	668	91	30	32.97%	53	11	79.25%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455
	_Vs Division	28	15	12	0	1	0	0	0	116	121	-5	13	4	8	0	1	0	0	0	53	61	-8	15	11	4	0	0	0	0	0	63	60	3	32	0.571	116	212	328	0	0	110	85	86	8	819	674	709	754	29	1083	309	79	404	60	16	26.67%	35	8	77.14%	0	1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%	1712	1217	1730	491	904	455

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
72	75	W3	288	511	799	2154	2705	789	170	1015	0	3

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
72	30	34	4	0	3	1	288	297

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
37	12	18	3	0	3	1	149	154

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
35	18	16	1	0	0	0	139	143

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	6	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
144	43	29.86%	75	13	82.67%	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
674	709	754	29	110	85	86	8

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1113	2201	50.57%	1296	2441	53.09%	675	1279	52.78%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1712	1217	1730	491	904	455

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	1	Lynx	2	Quacken	4	L			BoxScore
3	12	Lynx	6	Admirals	5	W			BoxScore
6	22	Quacken	5	Lynx	4	L			BoxScore
8	32	Lynx	1	Quacken	2	L			BoxScore
10	44	Admirals	2	Lynx	7	W			BoxScore
12	56	Marlies	2	Lynx	3	W			BoxScore
16	77	Quacken	0	Lynx	7	W			BoxScore
18	88	Lynx	7	Americiens	5	W			BoxScore
20	98	Lynx	3	Fighting Pandas	7	L			BoxScore
21	104	Americiens	5	Lynx	6	W	X		BoxScore
24	114	Lynx	6	Bruins	2	W			BoxScore
26	125	Fighting Pandas	2	Lynx	1	L			BoxScore
27	128	Lynx	4	Marlies	3	W			BoxScore
30	143	Lynx	7	Butter Knives	5	W			BoxScore
31	151	Bruins	6	Lynx	4	L			BoxScore
34	165	Butter Knives	2	Lynx	9	W			BoxScore
39	185	Barons	2	Lynx	4	W			BoxScore
43	202	Nordiks	9	Lynx	6	L			BoxScore
45	214	Lynx	1	Canucks	3	L			BoxScore
47	220	Lynx	1	Lions	5	L			BoxScore
48	229	Griffins	6	Lynx	4	L			BoxScore
50	242	Lynx	6	Nordiks	2	W			BoxScore
52	252	Lions	3	Lynx	6	W			BoxScore
54	267	Lynx	5	Bruins	3	W			BoxScore
56	276	Canucks	4	Lynx	5	W	X		BoxScore
58	287	Lynx	5	Americiens	3	W			BoxScore
59	295	Ice Bats	0	Lynx	5	W			BoxScore
62	312	Barracuda	0	Lynx	4	W			BoxScore
65	321	Lynx	1	Roadrunners	4	L			BoxScore
67	333	Lynx	3	Bruins	2	W			BoxScore
69	339	Lynx	5	Tomahawks	1	W			BoxScore
70	346	Wranglers	3	Lynx	4	W			BoxScore
73	362	Quacken	5	Lynx	1	L			BoxScore
76	376	Lynx	4	Americiens	3	W			BoxScore
77	384	Aces	4	Lynx	3	L			BoxScore
79	397	Lynx	4	Butter Knives	3	W			BoxScore
81	404	Roadrunners	1	Lynx	2	W	X	X	BoxScore
84	420	Lynx	2	Butter Knives	1	W			BoxScore
85	427	Marlies	8	Lynx	1	L			BoxScore
89	446	Firebirds	3	Lynx	2	L	X	X	BoxScore
93	465	Roadrunners	4	Lynx	5	W	X	X	BoxScore
97	483	Lynx	4	Firebirds	3	W			BoxScore
98	489	Tomahawks	5	Lynx	2	L			BoxScore
101	503	Lynx	3	Barons	2	W	X		BoxScore
102	512	Fighting Pandas	5	Lynx	3	L			BoxScore
105	526	Lynx	2	Marlies	4	L			BoxScore
106	532	Quacken	4	Lynx	5	W	X		BoxScore
108	546	Lynx	4	Griffins	6	L			BoxScore
110	554	Firebirds	4	Lynx	5	W	X	X	BoxScore
112	568	Lynx	6	Roadrunners	4	W			BoxScore
114	578	Tomahawks	6	Lynx	4	L			BoxScore
117	591	Lynx	4	Aces	2	W			BoxScore
119	599	Bruins	5	Lynx	2	L			BoxScore
121	614	Lynx	7	Firebirds	1	W			BoxScore
122	621	Fighting Pandas	6	Lynx	4	L			BoxScore
124	632	Lynx	3	Fighting Pandas	7	L			BoxScore
126	640	Lynx	4	Wombats	5	L			BoxScore
127	647	Bruins	6	Lynx	5	L			BoxScore
131	664	Marlies	3	Lynx	0	L			BoxScore
132	674	Lynx	4	Griffins	7	L			BoxScore
135	685	Wombats	5	Lynx	4	L			BoxScore
138	701	Lynx	1	Marlies	6	L			BoxScore
139	709	Wombats	9	Lynx	2	L			BoxScore
143	727	Lynx	4	Admirals	6	L			BoxScore
144	731	Broncos	2	Lynx	4	W			BoxScore
147	750	Broncos	7	Lynx	1	L			BoxScore
148	751	Lynx	5	Wombats	7	L			BoxScore
149	760	Lynx	3	Barracuda	7	L			BoxScore
152	776	Lynx	5	Admirals	7	L			BoxScore
153	779	Butter Knives	4	Lynx	6	W			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
156	795	Butter Knives	7	Lynx	9	W			BoxScore
158	804	Lynx	7	Fighting Pandas	6	W			BoxScore
160	816	Lynx	-	Broncos	-
162	822	Americiens	-	Lynx	-
165	838	Lynx	-	Quacken	-
166	841	Lynx	-	Wranglers	-
167	847	Admirals	-	Lynx	-
170	859	Lynx	-	Broncos	-
172	871	Admirals	-	Lynx	-
175	883	Lynx	-	Quacken	-
176	885	Lynx	-	Ice Bats	-
179	902	Americiens	-	Lynx	-

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

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
4	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
1,279,421$	855,000$	855,000$	500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
855,000$	837,751$	15	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	21	7,528$	158,088$

Lynx 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

Lynx 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

Lynx 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

Lynx 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

Lynx 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

	Lynx
	GP: 72 \| W: 37 \| L: 34 \| OTL: 1 \| P: 75 GF: 288 \| GA: 297 \| PP%: 29.86% \| PK%: 82.67% GM : Chris Ralph \| Morale : 58 \| Team Overall : 58 Next Games #816 vs Broncos