Whalers
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Wolves 21-22-9, 51pts	5	Box score	3	Americans 30-15-8, 68pts

Team Stats
SOL1	Streak	W1
11-11-5	Home Record	17-4-5
10-11-4	Home Record	13-11-3
2-6-2	Last 10 Games	7-2-1
1.87	Goals Per Game	3.49
2.56	Goals Against Per Game	2.98
24.79%	Power Play Percentage	30.06%
72.16%	Penalty Kill Percentage	72.78%

Americans
30-15-8, 68pts

Box score

Wolves
21-22-9, 51pts

Team Stats
W1	Streak	SOL1
17-4-5	Home Record	11-11-5
13-11-3	Home Record	10-11-4
7-2-1	Last 10 Games	2-6-2
3.49	Goals Per Game	1.87
2.98	Goals Against Per Game	2.56
30.06%	Power Play Percentage	24.79%
72.78%	Penalty Kill Percentage	72.16%

Wolves
21-22-9, 51pts

Day 66

Phantoms
21-25-6, 48pts

Team Stats
SOL1	Streak	W1
11-11-5	Home Record	9-14-3
10-11-4	Away Record	12-11-3
2-6-2	Last 10 Games	4-3-3
1.87	Goals Per Game	2.54
2.56	Goals Against Per Game	2.54
24.79%	Power Play Percentage	25.00%
72.16%	Penalty Kill Percentage	64.58%

Wolves
21-22-9, 51pts

Day 67

Moose
24-19-9, 57pts

Team Stats
SOL1	Streak	L2
11-11-5	Home Record	11-10-6
10-11-4	Away Record	13-9-3
2-6-2	Last 10 Games	4-4-2
1.87	Goals Per Game	1.92
2.56	Goals Against Per Game	1.92
24.79%	Power Play Percentage	24.55%
72.16%	Penalty Kill Percentage	76.92%

Moose
24-19-9, 57pts

Day 68

Wolves
21-22-9, 51pts

Team Stats
L2	Streak	SOL1
11-10-6	Home Record	11-11-5
13-9-3	Away Record	10-11-4
4-4-2	Last 10 Games	2-6-2
1.92	Goals Per Game	1.87
2.15	Goals Against Per Game	1.87
24.55%	Power Play Percentage	24.79%
76.92%	Penalty Kill Percentage	72.16%

Team Leaders
	Goals Ryan Donato 22	Assists Troy Terry 27

	Points Ryan Donato 39	Plus/Minus Carsen Twarynski 3

	Wins Cooper Black 15	Save Percentage Cooper Black 0.881

Team Stats
Goals For 97 1.87 GFG	Shots For 681 13.10 Avg	Power Play Percentage 24.8% 29 GF	Offensive Zone Start 33.5%
Goals Against 133 2.56 GAA	Shots Against 902 17.35 Avg	Penalty Kill Percentage 72.2%% 27 GA	Defensive Zone Start 40.1%

Team Info
	General Manager	Gabriel Whiddon
	Coach	Dan Lambert
	Division	Division 2
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,127
	Season Tickets	1,500
Roster Info
	Pro Team	27
	Farm Team	19
	Contract Limit	46 / 100
	Prospects	142

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	Ryan Donato	X	X	X		98.00	78	54	86	74	70	73	97	76	67	80	89	62	67	73	74	78	52	73	0	29	2	1,765,000$
2	Troy Terry		X	X		98.00	57	41	92	79	70	79	94	84	37	83	78	61	59	71	71	74	52	72	0	28	2	2,361,000$
3	Sam Bennett	X				100.00	85	78	67	78	72	76	95	77	82	77	84	60	25	79	84	76	37	72	0	29	1	2,050,000$
4	Mathieu Olivier		X	X		100.00	99	99	54	81	85	67	99	61	37	64	72	73	25	66	67	71	64	69	0	29	1	1,240,000$
5	Jack Quinn			X		100.00	65	42	92	77	71	68	91	73	29	75	72	58	85	63	63	70	53	68	0	24	2	1,811,000$
6	Eetu Luostarinen	X	X	X		99.00	88	46	90	84	73	70	98	59	42	64	59	73	25	70	73	67	49	67	0	27	1	1,148,000$
7	Matt Savoie (R)	X				100.00	70	62	88	90	63	81	85	64	80	62	63	60	60	46	46	65	60	65	0	22	3	1,471,000$
8	Mikey Eyssimont	X				98.00	79	67	77	83	71	57	94	63	34	61	65	62	25	65	66	63	50	64	0	29	2	1,543,000$
9	Samuel Honzek (R)		X			100.00	77	72	89	72	73	69	72	56	50	52	55	62	53	46	46	59	55	59	0	21	3	1,277,000$
10	Samuel Savoie (R)		X			100.00	73	68	89	66	69	79	87	50	50	49	46	59	45	45	45	54	53	57	0	22	3	1,289,000$
11	Aatu Jamsen (R)			X		100.00	73	67	88	64	68	46	45	52	50	44	56	60	54	45	45	56	43	53	0	22	3	1,266,000$
12	Artem Shlaine (R)	X	X	X		100.00	78	69	99	80	69	35	32	49	61	49	44	62	42	44	44	53	16	53	0	24	3	1,339,000$
13	Ian Moore (R)				X	98.00	79	76	86	81	77	52	52	54	25	51	43	62	41	46	45	55	50	60	0	24	3	1,382,000$
14	William Wallinder				X	99.00	83	78	94	66	79	52	53	50	25	45	40	64	38	46	46	52	44	58	0	23	3	1,600,000$
15	Aidan Fulp				X	98.00	81	79	86	62	79	43	43	48	25	40	40	61	37	46	46	48	44	55	0	26	1	950,000$
16	Chris Jandric				X	100.00	71	66	88	80	66	35	32	50	25	48	38	58	37	46	45	50	57	55	0	27	2	800,000$
17	Montana Onyebuchi				X	100.00	72	82	53	63	82	52	54	45	25	34	40	57	39	46	46	47	52	54	0	26	1	950,000$
18	Anton Malmstrom				X	100.00	81	78	87	60	78	36	34	45	25	34	39	62	37	45	45	49	15	53	0	26	1	950,000$
Scratches
1	Carsen Twarynski		X			100.00	75	73	83	64	73	50	50	49	50	49	45	61	44	46	45	52	33	53	0	28	1	1,044,000$
2	Koehn Ziemmer (R)			X		100.00	84	78	99	80	78	32	30	44	50	38	44	64	42	44	44	52	20	52	0	21	3	1,265,000$
3	Quinn Olson (R)	X	X	X		100.00	69	67	72	80	67	36	33	48	60	47	44	58	42	44	44	51	19	52	0	24	3	1,333,000$
4	Daniel Torgersson		X			100.00	76	74	81	60	74	36	35	44	50	38	44	60	42	44	44	49	20	49	0	24	1	925,000$
5	Joakim Ryan (R)				X	100.00	75	67	93	62	67	68	74	45	25	34	41	59	38	45	47	50	49	56	0	32	2	1,414,000$
6	Jeremie Bucheler				X	100.00	84	77	99	60	77	35	34	41	25	28	39	63	37	44	44	49	19	52	0	25	1	950,000$
7	Will MacKinnon				X	100.00	72	72	73	61	72	46	47	44	25	34	39	57	37	44	44	48	20	52	0	25	1	950,000$

	TEAM AVERAGE					99.52	77	69	84	72	73	55	62	55	42	51	53	62	43	52	52	58	41	59

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	Cooper Black (R)	100.00	59	40	50	92	61	68	75	73	76	73	30	45	45	63	67	65	0	24	1	1,000,000$
2	Jeremy Brodeur	100.00	44	40	50	68	45	88	43	47	87	81	45	45	45	59	48	58	0	29	1	1,000,000$
Scratches

	TEAM AVERAGE	100.00	52	40	50	80	53	78	59	60	82	77	38	45	45	61	58	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dan Lambert	40	40	40	40	40	40	40	TUR	81	1	1,000,000$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Ryan Donato	Wolves (HAR)	C/LW/RW	46	22	17	39	-17	22	10	63	71	135	33	80	16.30%	15	1064	23.14	7	6	13	19	77	0	1	1	1	52	4	2	54.84%	155	24	19	0	1	0.73	1	2	0	1	1	3	4	2
2	Troy Terry	Wolves (HAR)	LW/RW	52	8	27	35	-23	0	0	65	108	68	35	46	11.76%	13	1160	22.32	3	13	16	18	90	1	0	1	2	81	0	1	42.13%	508	21	22	0	0	0.60	1	2	0	0	0	0	5	3
3	Mikey Eyssimont	Wolves (HAR)	C	52	14	11	25	-20	66	30	83	69	56	16	32	25.00%	13	1138	21.89	7	5	12	14	92	0	0	0	2	40	2	0	35.29%	119	10	25	1	0	0.44	2	8	2	3	1	3	2	2
4	Matt Savoie	Wolves (HAR)	C	52	11	11	22	-11	14	0	71	86	53	18	30	20.75%	12	962	18.51	4	4	8	9	64	1	0	1	1	23	4	1	60.29%	204	20	13	0	0	0.46	3	9	0	0	0	1	2	1
5	Jack Quinn	Wolves (HAR)	RW	52	9	9	18	-16	8	0	58	61	50	20	32	18.00%	11	979	18.83	3	4	7	5	75	0	0	0	0	0	3	0	37.50%	16	11	14	0	0	0.37	1	1	0	0	0	2	2	1
6	Sam Bennett	Wolves (HAR)	C	46	9	7	16	-8	118	50	66	74	65	30	46	13.85%	9	819	17.82	0	0	0	0	2	0	0	0	0	0	3	1	62.38%	505	14	13	0	0	0.39	0	5	0	3	6	1	0	2
7	Eetu Luostarinen	Wolves (HAR)	C/LW/RW	52	5	8	13	-17	10	0	78	105	44	16	34	11.36%	21	1049	20.19	1	0	1	3	48	0	0	0	2	30	0	0	47.62%	42	9	19	0	0	0.25	0	0	0	0	0	2	0	3
8	Aidan Fulp	Wolves (HAR)	D	52	2	7	9	-11	25	15	48	70	29	10	8	6.90%	34	1070	20.59	1	4	5	7	63	0	0	0	0	46	0	0	0%	0	2	19	0	0	0.17	0	0	0	3	0	0	0	0
9	William Wallinder	Wolves (HAR)	D	52	1	7	8	-14	33	25	53	83	44	11	7	2.27%	45	1226	23.60	0	1	1	2	71	0	0	0	3	55	1	0	0%	0	3	24	0	0	0.13	0	0	0	1	4	1	0	2
10	Joakim Ryan	Wolves (HAR)	D	47	2	6	8	-18	14	10	47	52	12	11	7	16.67%	39	1058	22.51	0	0	0	0	61	0	1	1	1	53	0	0	0%	0	1	17	0	0	0.15	0	0	2	0	0	0	0	1
11	Urho Vaakanainen	Whalers	D	27	0	7	7	-14	16	10	24	61	17	11	8	0%	35	728	26.96	0	1	1	1	50	0	0	0	0	40	0	0	0%	0	5	29	0	0	0.19	0	1	0	1	1	0	0	0
12	Ian Moore	Wolves (HAR)	D	51	1	6	7	-18	50	20	54	63	25	7	10	4.00%	33	972	19.07	1	4	5	5	80	0	0	0	0	32	0	0	0%	1	6	17	0	0	0.14	0	0	2	0	2	0	0	2
13	Carsen Twarynski	Wolves (HAR)	LW	35	2	4	6	3	2	0	31	17	7	1	6	28.57%	2	247	7.07	0	0	0	0	0	0	1	1	0	1	0	0	61.54%	13	0	5	0	0	0.49	1	1	0	0	0	2	1	0
14	Mathieu Olivier	Wolves (HAR)	LW/RW	51	2	4	6	-8	94	40	60	46	33	9	13	6.06%	9	492	9.66	1	2	3	3	22	0	0	0	0	13	0	0	38.86%	229	12	8	0	0	0.24	1	3	4	0	4	0	1	1
15	Samuel Honzek	Wolves (HAR)	LW	52	2	3	5	2	8	0	53	49	16	8	13	12.50%	4	620	11.94	0	0	0	0	21	0	0	0	1	27	1	0	52.17%	23	7	13	0	0	0.16	0	1	0	0	0	1	0	0
16	Paul Cotter	Whalers	C/LW/RW	6	3	2	5	1	5	5	6	8	19	1	4	15.79%	3	131	21.96	1	1	2	1	10	0	0	0	0	9	0	0	46.94%	49	5	4	0	0	0.76	0	1	0	1	0	0	2	0
17	Aatu Jamsen	Wolves (HAR)	RW	46	1	0	1	1	2	0	43	30	2	0	2	50.00%	7	498	10.83	0	0	0	0	4	0	0	0	0	0	0	0	75.00%	4	0	2	0	0	0.04	0	0	0	0	0	0	0	0
18	Sam Morton	Whalers	C	6	0	1	1	2	0	0	1	1	1	0	0	0%	0	38	6.42	0	0	0	0	0	0	0	0	0	0	0	0	63.64%	11	0	0	0	0	0.52	1	1	0	0	0	0	0	0
19	Chris Jandric	Wolves (HAR)	D	52	0	1	1	3	5	5	9	18	0	1	1	0%	1	288	5.56	0	0	0	0	8	0	0	0	0	4	0	0	0%	0	0	0	0	0	0.07	0	0	1	0	0	0	0	0
20	Samuel Savoie	Wolves (HAR)	LW	52	0	0	0	0	0	0	6	2	1	0	0	0%	0	69	1.34	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
21	Jeremie Bucheler	Wolves (HAR)	D	1	0	0	0	0	0	0	0	0	0	0	0	0%	0	14	14.23	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
22	Anton Malmstrom	Wolves (HAR)	D	26	0	0	0	1	8	0	15	21	2	2	0	0%	4	354	13.62	0	0	0	0	3	0	0	0	0	6	0	0	0%	0	2	1	0	0	0	0	0	0	0	0	0	0	0
23	Montana Onyebuchi	Wolves (HAR)	D	52	0	0	0	-3	12	0	31	27	2	2	2	0%	4	595	11.45	0	0	0	0	1	0	0	0	0	46	0	0	0%	0	0	8	0	0	0	0	0	0	0	0	0	0	0
24	Artem Shlaine	Wolves (HAR)	C/LW/RW	13	0	0	0	1	0	0	7	4	0	0	2	0%	0	66	5.08	0	0	0	0	0	0	0	0	0	0	0	0	20.00%	5	0	0	0	0	0	1	1	0	0	0	0	0	0
25	Quinn Olson	Wolves (HAR)	C/LW/RW	1	0	0	0	0	0	0	0	0	0	0	0	0%	0	2	2.48	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				974	94	138	232	-184	512	220	972	1126	681	242	383	13.80%	314	15651	16.07	29	45	74	87	852	2	3	5	13	568	18	5	50.32%	1884	152	272	1	1	0.30	12	36	11	13	19	16	19	20

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
1	Cooper Black	Wolves (HAR)	29	15	9	2	0.881	2.04	1615	4	7	55	464	251	1	0	0.632	19	28	21	0	2
2	Jeremy Brodeur	Wolves (HAR)	27	6	13	7	0.841	2.63	1505	0	1	66	416	190	3	1	0.429	14	24	10	2	0
3	Ty Young	Whalers	3	0	0	0	0.762	4.55	66	0	0	5	21	9	0	0	0	0	0	21	0	0
Team Total or Average			59	21	22	9	0.860	2.37	3187	4	8	126	901	450	4	1		33	52	52	2	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	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	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
Aatu Jamsen	Wolves (HAR)	RW	22	2003-07-22	FIN	Yes	175 Lbs	6 ft2	No	No	Prospect		No	No	3	2025-10-22	False	False	Pro & Farm	1,266,000$	542,571$	0$	0$	No	1,266,000$	1,266,000$	-	-	-	-	-	-	-	1,266,000$	1,266,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Aidan Fulp	Wolves (HAR)	D	26	2000-02-29	USA	No	210 Lbs	6 ft3	No	No	Free Agent		No	No	1	2024-10-16	False	False	Pro & Farm	950,000$	407,143$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Anton Malmstrom	Wolves (HAR)	D	26	2000-03-18	SWE	No	205 Lbs	6 ft4	No	No	Free Agent		No	No	1	2024-10-16	False	False	Pro & Farm	950,000$	407,143$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Artem Shlaine	Wolves (HAR)	C/LW/RW	24	2002-03-07	USA	Yes	185 Lbs	6 ft1	No	No	Prospect		No	No	3	2025-10-22	False	False	Pro & Farm	1,339,000$	573,857$	0$	0$	No	1,339,000$	1,339,000$	-	-	-	-	-	-	-	1,339,000$	1,339,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Carsen Twarynski	Wolves (HAR)	LW	28	1997-11-24	CAN	No	198 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	1,044,000$	447,429$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Chris Jandric	Wolves (HAR)	D	27	1998-10-03	BC	No	181 Lbs	5 ft11	No	No	Free Agent		No	No	2	2024-10-16	False	False	Pro & Farm	800,000$	342,857$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Cooper Black	Wolves (HAR)	G	24	2001-06-14	USA	Yes	223 Lbs	6 ft8	No	No	Assign Manually		No	No	1	2025-12-08	False	False	Pro & Farm	1,000,000$	428,571$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Daniel Torgersson	Wolves (HAR)	LW	24	2002-01-26	SWE	No	199 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	396,429$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Eetu Luostarinen	Wolves (HAR)	C/LW/RW	27	1998-09-02	FIN	No	191 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	1,148,000$	492,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ian Moore	Wolves (HAR)	D	24	2002-01-04	USA	Yes	203 Lbs	6 ft3	No	No	Prospect		No	No	3	2025-10-22	False	False	Pro & Farm	1,382,000$	592,286$	0$	0$	No	1,382,000$	1,382,000$	-	-	-	-	-	-	-	1,382,000$	1,382,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Jack Quinn	Wolves (HAR)	RW	24	2001-09-19	CAN	No	185 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	1,811,000$	776,143$	0$	0$	No	1,811,000$	-	-	-	-	-	-	-	-	890,042$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jeremie Bucheler	Wolves (HAR)	D	25	2000-03-31	QUE	No	200 Lbs	6 ft4	No	No	Free Agent		No	No	1	2024-10-16	False	False	Pro & Farm	950,000$	407,143$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jeremy Brodeur	Wolves (HAR)	G	29	1996-10-29	USA	No	185 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2026-01-23	False	False	Pro & Farm	1,000,000$	428,571$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Joakim Ryan	Wolves (HAR)	D	32	1993-06-17	USA	Yes	185 Lbs	5 ft11	No	No	Prospect		No	No	2	2025-10-22	False	False	Pro & Farm	1,414,000$	606,000$	0$	0$	No	1,414,000$	-	-	-	-	-	-	-	-	1,414,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Koehn Ziemmer	Wolves (HAR)	RW	21	2004-12-08	AB	Yes	215 Lbs	6 ft1	No	No	Draft		No	No	3	2025-10-22	False	False	Pro & Farm	1,265,000$	542,143$	0$	0$	No	1,265,000$	1,265,000$	-	-	-	-	-	-	-	1,265,000$	1,265,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Mathieu Olivier	Wolves (HAR)	LW/RW	29	1997-02-11	USA	No	226 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	1,240,000$	531,429$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Matt Savoie	Wolves (HAR)	C	22	2004-01-01	CAN	Yes	179 Lbs	5 ft9	No	No	Prospect		No	No	3	2025-10-22	False	False	Pro & Farm	1,471,000$	630,429$	0$	0$	No	1,471,000$	1,471,000$	-	-	-	-	-	-	-	1,471,000$	1,471,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Mikey Eyssimont	Wolves (HAR)	C	29	1996-09-09	USA	No	191 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	1,543,000$	661,286$	0$	0$	No	1,543,000$	-	-	-	-	-	-	-	-	822,755$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Montana Onyebuchi	Wolves (HAR)	D	26	2000-03-08	MAN	No	220 Lbs	6 ft3	No	No	Free Agent		No	No	1	2024-10-16	False	False	Pro & Farm	950,000$	407,143$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Quinn Olson	Wolves (HAR)	C/LW/RW	24	2001-05-09	AB	Yes	180 Lbs	6 ft0	No	No	Prospect		No	No	3	2025-10-22	False	False	Pro & Farm	1,333,000$	571,286$	0$	0$	No	1,333,000$	1,333,000$	-	-	-	-	-	-	-	1,333,000$	1,333,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Ryan Donato	Wolves (HAR)	C/LW/RW	29	1996-04-09	USA	No	190 Lbs	6 ft0	No	No	Trade	2025-01-22	No	No	2		False	False	Pro & Farm	1,765,000$	756,429$	0$	0$	No	1,765,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Sam Bennett	Wolves (HAR)	C	29	1996-06-20	CAN	No	193 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	2,050,000$	878,571$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Samuel Honzek	Wolves (HAR)	LW	21	2004-11-12	SVK	Yes	186 Lbs	6 ft4	No	No	Draft		No	No	3	2025-10-22	False	False	Pro & Farm	1,277,000$	547,286$	0$	0$	No	1,277,000$	1,277,000$	-	-	-	-	-	-	-	1,277,000$	1,277,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Samuel Savoie	Wolves (HAR)	LW	22	2004-03-25	CAN	Yes	190 Lbs	5 ft10	No	No	Prospect		No	No	3	2025-10-22	False	False	Pro & Farm	1,289,000$	552,429$	0$	0$	No	1,289,000$	1,289,000$	-	-	-	-	-	-	-	1,289,000$	1,289,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Troy Terry	Wolves (HAR)	LW/RW	28	1997-09-10	USA	No	191 Lbs	6 ft0	No	No	Trade	2024-10-01	No	No	2		False	False	Pro & Farm	2,361,000$	1,011,857$	0$	0$	No	2,361,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Will MacKinnon	Wolves (HAR)	D	25	2000-04-13	USA	No	201 Lbs	5 ft11	No	No	Free Agent		No	No	1	2024-10-16	False	False	Pro & Farm	950,000$	407,143$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
William Wallinder	Wolves (HAR)	D	23	2002-07-28	SWE	No	205 Lbs	6 ft4	No	No	N/A		No	No	3	2025-12-08	False	False	Pro & Farm	1,600,000$	685,714$	0$	0$	No	1,600,000$	1,600,000$	-	-	-	-	-	-	-	1,600,000$	1,600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	25.56	196 Lbs	6 ft1	1.89	1,299,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ryan Donato	Sam Bennett	Mikey Eyssimont	40	1	2	2
2	Jack Quinn	Troy Terry	Eetu Luostarinen	30	1	2	2
3	Ryan Donato	Sam Bennett	Mikey Eyssimont	20	1	2	2
4	Ryan Donato	Matt Savoie	Mikey Eyssimont	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ian Moore	Aidan Fulp	40	1	2	2
2	William Wallinder	Chris Jandric	30	1	2	2
3	Ian Moore	William Wallinder	20	1	2	2
4	William Wallinder	Aidan Fulp	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ryan Donato	Troy Terry	Mikey Eyssimont	60	1	2	2
2	Matt Savoie	Mikey Eyssimont	Jack Quinn	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ian Moore	Aidan Fulp	60	1	2	2
2	Chris Jandric	William Wallinder	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ryan Donato	Troy Terry	60	1	2	2
2	Mikey Eyssimont	Eetu Luostarinen	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Aidan Fulp	Montana Onyebuchi	60	1	2	2
2	William Wallinder	Ian Moore	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Troy Terry	60	1	2	2	Aidan Fulp	William Wallinder	60	1	2	2
2	Mikey Eyssimont	40	1	2	2	Ian Moore	Chris Jandric	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Matt Savoie	Ryan Donato	60	1	2	2
2	Mikey Eyssimont	Troy Terry	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Aidan Fulp	Ian Moore	60	1	2	2
2	William Wallinder	Chris Jandric	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Ryan Donato	Troy Terry	Mikey Eyssimont	Ian Moore	William Wallinder

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Ryan Donato	Troy Terry	Mikey Eyssimont	Ian Moore	William Wallinder

Extra Forwards
Normal	PowerPlay	Penalty Kill
Mikey Eyssimont, Troy Terry, Matt Savoie	Mikey Eyssimont, Troy Terry	Mikey Eyssimont

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ian Moore, William Wallinder, Aidan Fulp	William Wallinder	William Wallinder, Aidan Fulp

Penalty Shots
Matt Savoie, Sam Bennett, Mikey Eyssimont, Ryan Donato, Troy Terry

Goalie
#1 : Jeremy Brodeur, #2 : Cooper Black

Custom OT Lines Forwards
Mikey Eyssimont, Ryan Donato, Matt Savoie, Troy Terry, Aatu Jamsen, Eetu Luostarinen, Jack Quinn, Samuel Savoie, Sam Bennett, Samuel Honzek

Custom OT Lines Defensemen
Ian Moore, Montana Onyebuchi, Aidan Fulp, Chris Jandric, William Wallinder

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	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	17	29	40	20	12	131	198	322	65	16	5	26	22	3	1	33.33%	4	0	100.00%	1	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
2	Americans	2	1	0	0	0	0	0	1	9	8	1	1	0	0	0	0	0	0	1	4	5	-1	1	1	0	0	0	0	0	0	5	3	2	3	0.750	9	15	24	0	0	17	29	40	20	30	131	198	322	65	48	11	12	47	12	5	41.67%	6	3	50.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
3	Barracuda	4	0	3	0	0	0	1	0	2	10	-8	3	0	3	0	0	0	0	0	1	10	-9	1	0	0	0	0	0	1	0	1	0	1	2	0.250	2	2	4	0	1	17	29	40	20	43	131	198	322	65	52	11	49	61	6	0	0.00%	7	1	85.71%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
4	Bruins	2	0	1	0	0	0	0	1	1	4	-3	1	0	1	0	0	0	0	0	0	2	-2	1	0	0	0	0	0	0	1	1	2	-1	1	0.250	1	1	2	1	0	17	29	40	20	17	131	198	322	65	16	3	10	50	2	0	0.00%	5	0	100.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
5	Canucks	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	17	29	40	20	5	131	198	322	65	13	7	0	29	3	0	0.00%	0	0	0%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
6	Checkers	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	3	5	0	0	17	29	40	20	3	131	198	322	65	14	5	2	19	1	0	0.00%	1	0	100.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
7	Comets	5	2	0	0	2	1	0	0	14	9	5	2	0	0	0	2	0	0	0	6	4	2	3	2	0	0	0	1	0	0	8	5	3	9	0.900	14	20	34	0	1	17	29	40	20	69	131	198	322	65	77	34	57	101	10	4	40.00%	10	3	70.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
8	Condors	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	17	29	40	20	6	131	198	322	65	14	6	2	9	2	0	0.00%	1	1	0.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
9	Crunch	1	0	1	0	0	0	0	0	0	5	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	0	0	0	0	0	17	29	40	20	11	131	198	322	65	25	4	37	26	4	0	0.00%	1	0	100.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
10	Eagles	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	3	0	3	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	5	5	10	0	1	17	29	40	20	20	131	198	322	65	38	8	37	31	3	3	100.00%	6	2	66.67%	1	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
11	Griffins	1	0	0	0	1	0	0	0	4	3	1	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	5	9	0	0	17	29	40	20	23	131	198	322	65	24	9	8	25	3	1	33.33%	4	1	75.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
12	Gulls	3	0	3	0	0	0	0	0	4	9	-5	2	0	2	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	4	8	12	0	0	17	29	40	20	57	131	198	322	65	58	26	23	55	10	3	30.00%	9	3	66.67%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
13	IceHogs	4	1	1	0	0	1	1	0	8	9	-1	3	1	0	0	0	1	1	0	8	7	1	1	0	1	0	0	0	0	0	0	2	-2	5	0.625	8	11	19	0	0	17	29	40	20	64	131	198	322	65	47	17	34	68	9	1	11.11%	7	2	71.43%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
14	Islanders	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	3	6	0	0	17	29	40	20	26	131	198	322	65	34	10	4	23	2	0	0.00%	2	0	100.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
15	Marlies	2	0	0	0	1	0	0	1	1	1	0	1	0	0	0	1	0	0	0	1	0	1	1	0	0	0	0	0	0	1	0	1	-1	3	0.750	1	2	3	0	1	17	29	40	20	15	131	198	322	65	14	4	14	42	3	0	0.00%	1	0	100.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
16	Monsters	3	1	0	0	1	0	1	0	7	2	5	1	1	0	0	0	0	0	0	3	0	3	2	0	0	0	1	0	1	0	4	2	2	6	1.000	7	10	17	0	2	17	29	40	20	39	131	198	322	65	25	10	14	46	11	2	18.18%	2	0	100.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
17	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	17	29	40	20	10	131	198	322	65	7	2	7	12	2	0	0.00%	1	1	0.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
18	Phantoms	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	17	29	40	20	7	131	198	322	65	7	1	22	23	2	2	100.00%	1	0	100.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
19	Reign	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	2	4	0	0	17	29	40	20	5	131	198	322	65	34	15	15	19	2	1	50.00%	5	2	60.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
20	Roadrunners	2	0	1	0	1	0	0	0	7	9	-2	1	0	1	0	0	0	0	0	2	5	-3	1	0	0	0	1	0	0	0	5	4	1	2	0.500	7	9	16	0	0	17	29	40	20	43	131	198	322	65	66	25	33	43	4	1	25.00%	4	2	50.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
21	Rocket	5	0	3	0	1	0	0	1	3	11	-8	3	0	1	0	1	0	0	1	3	7	-4	2	0	2	0	0	0	0	0	0	4	-4	3	0.300	3	5	8	0	1	17	29	40	20	46	131	198	322	65	63	27	23	80	6	2	33.33%	4	2	50.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
22	Senators	2	1	1	0	0	0	0	0	6	6	0	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	6	6	0	2	0.500	6	9	15	0	0	17	29	40	20	40	131	198	322	65	76	19	25	46	4	1	25.00%	5	0	100.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
23	Stars	2	0	1	0	0	0	0	1	3	7	-4	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	1	4	-3	1	0.250	3	4	7	0	0	17	29	40	20	19	131	198	322	65	27	10	0	36	4	0	0.00%	0	0	0%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
24	Thunderbirds	2	0	2	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	4	7	0	0	17	29	40	20	33	131	198	322	65	58	26	50	30	7	1	14.29%	5	3	40.00%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
25	Wild	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	3	4	-1	1	0.500	3	5	8	0	0	17	29	40	20	21	131	198	322	65	43	15	12	15	1	1	100.00%	6	1	83.33%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
26	Wolf Pack	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	3	6	0	0	17	29	40	20	17	131	198	322	65	6	4	0	14	1	0	0.00%	0	0	0%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
	Total	52	10	22	0	8	3	3	6	97	133	-36	27	4	11	0	6	2	1	3	50	70	-20	25	6	11	0	2	1	2	3	47	63	-16	51	0.490	97	138	235	1	7	17	29	40	20	681	131	198	322	65	902	314	516	972	117	29	24.79%	97	27	72.16%	2	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
	_Since Last GM Reset	52	10	22	0	8	3	3	6	97	133	-36	27	4	11	0	6	2	1	3	50	70	-20	25	6	11	0	2	1	2	3	47	63	-16	51	0.490	97	138	235	1	7	17	29	40	20	681	131	198	322	65	902	314	516	972	117	29	24.79%	97	27	72.16%	2	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
	_Vs Conference	33	5	15	0	5	2	3	3	51	75	-24	16	2	7	0	4	1	1	1	26	37	-11	17	3	8	0	1	1	2	2	25	38	-13	31	0.470	51	74	125	1	5	17	29	40	20	435	131	198	322	65	515	183	286	600	69	14	20.29%	57	13	77.19%	0	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708
	_Vs Division	14	5	8	0	4	2	3	1	33	47	-14	7	2	4	0	3	1	1	1	16	21	-5	7	3	4	0	1	1	2	0	17	26	-9	27	0.964	33	45	78	0	1	17	29	40	20	212	131	198	322	65	295	106	192	245	31	8	25.81%	32	10	68.75%	2	318	618	51.46%	367	739	49.66%	263	487	54.00%	904	304	921	579	1364	708

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
52	51	SOL1	97	138	235	681	902	314	516	972	1	7

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
52	10	22	8	3	3	6	97	133

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
27	4	11	6	2	1	3	50	70

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	6	11	2	1	2	3	47	63

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	6	0	1	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
117	29	24.79%	97	27	72.16%	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
131	198	322	65	17	29	40	20

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
318	618	51.46%	367	739	49.66%	263	487	54.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
904	304	921	579	1364	708

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
2	11	Wolves	4	Comets	2	W			Box score
3	28	Barracuda	5	Wolves	0	L			Box score
4	43	Wolves	3	Monsters	2	W	X	X	Box score
5	57	IceHogs	3	Wolves	2	L	X		Box score
7	71	Wolves	5	Senators	2	W			Box score
8	85	Rocket	0	Wolves	1	W	X		Box score
10	105	Gulls	3	Wolves	1	L			Box score
11	126	Monsters	0	Wolves	3	W			Box score
12	134	Wolves	1	Senators	4	L			Box score
14	158	Wolves	2	Comets	0	W			Box score
15	167	Comets	2	Wolves	3	W	X		Box score
16	189	Rocket	3	Wolves	2	L	X	X	Box score
17	205	Wolves	0	Rocket	1	L			Box score
18	208	Wolves	1	Barracuda	0	W	X	X	Box score
19	224	Barracuda	3	Wolves	1	L			Box score
20	249	IceHogs	3	Wolves	4	W	X	X	Box score
22	265	Wolves	2	Eagles	6	L			Box score
24	282	Wolves	0	Crunch	5	L			Box score
25	291	Rocket	4	Wolves	0	L			Box score
27	313	IceHogs	1	Wolves	2	W			Box score
28	327	Wolves	3	Islanders	1	W			Box score
29	340	Wolves	1	Stars	4	L			Box score
30	355	Wolf Pack	2	Wolves	3	W	X		Box score
31	375	Wolves	1	Monsters	0	W	X		Box score
32	383	Reign	5	Wolves	2	L			Box score
33	404	Marlies	0	Wolves	1	W	X		Box score
34	419	Wolves	5	Roadrunners	4	W	X		Box score
36	438	Wolves	0	Rocket	3	L			Box score
37	448	Eagles	0	Wolves	3	W			Box score
38	471	Wolves	4	Admirals	2	W			Box score
39	481	Griffins	3	Wolves	4	W	X		Box score
41	499	Wolves	0	IceHogs	2	L			Box score
42	512	Gulls	2	Wolves	1	L			Box score
43	532	Comets	2	Wolves	3	W	X		Box score
44	548	Wolves	2	Comets	3	L	X		Box score
45	564	Stars	3	Wolves	2	L	X	X	Box score
46	581	Wolves	1	Bruins	2	L	X	X	Box score
47	587	Wolves	3	Wild	4	L	X	X	Box score
48	602	Roadrunners	5	Wolves	2	L			Box score
49	626	Barracuda	2	Wolves	0	L			Box score
50	641	Wolves	2	Gulls	4	L			Box score
51	646	Wolves	0	Marlies	1	L	X	X	Box score
52	668	Phantoms	1	Wolves	3	W			Box score
53	686	Thunderbirds	6	Wolves	1	L			Box score
55	705	Wolves	2	Thunderbirds	4	L			Box score
56	721	Penguins	2	Wolves	0	L			Box score
58	736	Wolves	0	Condors	2	L			Box score
59	752	Bruins	2	Wolves	0	L			Box score
60	768	Wolves	0	Canucks	2	L			Box score
61	781	Checkers	3	Wolves	2	L	X		Box score
63	796	Wolves	5	Americans	3	W			Box score
64	811	Americans	5	Wolves	4	L	X	X	Box score
66	830	Wolves	-	Phantoms	-
67	842	Wolves	-	Moose	-
68	851	Moose	-	Wolves	-
69	873	Condors	-	Wolves	-
71	894	Wolves	-	Wolf Pack	-
72	907	Canucks	-	Wolves	-
74	924	Wolves	-	Heat	-
75	939	Admirals	-	Wolves	-
77	956	Wolves	-	Bears	-
78	967	Senators	-	Wolves	-
80	993	Wild	-	Wolves	-
81	1004	Wolves	-	Checkers	-
82	1023	Wild	-	Wolves	-
83	1034	Wolves	-	IceHogs	-
85	1054	Silver Knights	-	Wolves	-
86	1060	Wolves	-	Silver Knights	-
88	1085	Wolves	-	Eagles	-
89	1097	Bears	-	Wolves	-
90	1116	Monsters	-	Wolves	-
91	1130	Wolves	-	Canucks	-
93	1148	Crunch	-	Wolves	-
94	1158	Wolves	-	Monsters	-
95	1172	Wolves	-	Gulls	-
96	1185	Wolves	-	Reign	-
Trade Deadline --- Trades can’t be done after this day is simulated!
97	1195	Heat	-	Wolves	-
98	1213	Wolves	-	Penguins	-
100	1223	Senators	-	Wolves	-
101	1234	Wolves	-	Senators	-
102	1253	Islanders	-	Wolves	-
104	1273	Wolves	-	Griffins	-
105	1282	Silver Knights	-	Wolves	-
106	1291	Wolves	-	Barracuda	-
110	1319	Penguins	-	Wolves	-
111	1332	Wolves	-	Barracuda	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	16
Attendance	38,206	19,218
Attendance PCT	70.75%	71.18%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
16	2127 - 70.89%	90,763$	2,450,602$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
2,642,362$	3,507,300$	3,507,300$	1,000,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
31,315$	2,070,927$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,452,209$	48	40,244$	1,931,712$

Wolves 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

Wolves 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

Wolves 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

Wolves 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

Wolves 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

	Wolves
	GP: 52 \| W: 21 \| L: 22 \| OTL: 9 \| P: 51 GF: 97 \| GA: 133 \| PP%: 24.79% \| PK%: 72.16% GM : Gabriel Whiddon \| Morale : 40 \| Team Overall : 59 Next Games #830 vs Phantoms