Whalers
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Wolves 27-15-4, 58pts	3	FINAL	1	Wolf Pack 18-15-11, 47pts

Team Stats
W6	Streak	L1
14-8-1	Home Record	11-5-7
13-7-3	Home Record	7-10-4
8-1-1	Last 10 Games	5-4-1
2.98	Goals Per Game	3.39
2.54	Goals Against Per Game	3.52
21.50%	Power Play Percentage	29.37%
81.82%	Penalty Kill Percentage	66.40%

Phantoms
23-13-9, 55pts

FINAL

Wolves
27-15-4, 58pts

Team Stats
SOL1	Streak	W6
14-4-5	Home Record	14-8-1
9-9-4	Home Record	13-7-3
5-3-2	Last 10 Games	8-1-1
3.84	Goals Per Game	2.98
3.64	Goals Against Per Game	2.54
28.95%	Power Play Percentage	21.50%
68.38%	Penalty Kill Percentage	81.82%

Crunch
18-23-5, 41pts

Day 58

Wolves
27-15-4, 58pts

Team Stats
L3	Streak	W6
11-10-1	Home Record	14-8-1
7-13-4	Away Record	13-7-3
3-7-0	Last 10 Games	8-1-1
2.13	Goals Per Game	2.98
3.02	Goals Against Per Game	2.98
26.92%	Power Play Percentage	21.50%
76.77%	Penalty Kill Percentage	81.82%

Wolves
27-15-4, 58pts

Day 59

Bruins
34-10-2, 70pts

Team Stats
W6	Streak	W1
14-8-1	Home Record	17-5-1
13-7-3	Away Record	17-5-1
8-1-1	Last 10 Games	7-2-1
2.98	Goals Per Game	4.33
2.54	Goals Against Per Game	4.33
21.50%	Power Play Percentage	25.53%
81.82%	Penalty Kill Percentage	74.13%

Rocket
33-8-6, 72pts

Day 60

Wolves
27-15-4, 58pts

Team Stats
W3	Streak	W6
15-4-4	Home Record	14-8-1
18-4-2	Away Record	13-7-3
8-0-2	Last 10 Games	8-1-1
3.91	Goals Per Game	2.98
2.79	Goals Against Per Game	2.98
26.81%	Power Play Percentage	21.50%
67.86%	Penalty Kill Percentage	81.82%

Team Leaders
	Goals Jakub Vrana 26	Assists Jakub Vrana 31

	Points Jakub Vrana 57	Plus/Minus Emil Martinsen Lilleberg 19

	Wins Evan Fitzpatrick 17	Save Percentage Evan Fitzpatrick 0.884

Team Stats
Goals For 137 2.98 GFG	Shots For 1231 26.76 Avg	Power Play Percentage 21.5% 23 GF	Offensive Zone Start 38.5%
Goals Against 117 2.54 GAA	Shots Against 1003 21.80 Avg	Penalty Kill Percentage 81.8%% 24 GA	Defensive Zone Start 35.6%

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	2,145
	Season Tickets	1,500
Roster Info
	Pro Team	29
	Farm Team	19
	Contract Limit	48 / 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	Jakub Vrana		X			98.00	63	41	89	82	70	62	69	80	27	69	64	61	53	69	69	62	83	66	0	28	1	2,858,000$
2	Phillip Di Giuseppe		X			100.00	83	68	80	76	71	62	76	64	34	63	60	70	25	67	68	63	83	65	0	31	1	1,100,000$
3	Mathieu Olivier			X		100.00	96	99	64	65	80	59	77	66	33	63	60	72	25	63	63	64	60	64	0	27	2	1,240,000$
4	Kristian Reichel (R)			X		99.00	74	70	84	66	70	78	83	60	50	54	62	63	58	47	47	61	82	61	0	26	1	935,000$
5	T.J. Tynan	X				100.00	64	58	77	65	58	82	87	64	78	71	53	59	48	47	47	59	83	61	0	32	1	1,314,000$
6	Philippe Maillet	X				100.00	74	66	94	64	66	68	70	64	80	62	63	64	59	45	45	64	60	61	0	32	1	750,000$
7	Daniel Torgersson (R)		X	X		100.00	79	74	92	66	75	70	76	47	50	46	44	62	42	46	46	53	80	56	0	22	2	925,000$
8	Carsen Twarynski		X			100.00	75	73	79	66	73	62	65	52	50	46	54	60	51	47	47	56	74	56	0	27	2	1,044,000$
9	Keaton Mastrodonato	X				100.00	78	74	88	68	75	52	53	50	63	38	58	62	55	45	45	56	67	55	0	24	2	950,000$
10	Sam Morton		X			100.00	73	67	88	59	67	51	50	56	50	48	61	62	59	45	45	59	64	55	0	25	2	950,000$
11	Justin Addamo			X		97.00	92	91	93	60	91	44	44	49	50	45	47	67	45	45	45	53	80	55	0	26	2	950,000$
12	Emil Martinsen Lilleberg (R)				X	100.00	93	46	88	76	71	69	72	64	25	52	50	81	25	49	48	61	70	68	0	23	2	870,000$
13	Jordan Oesterle				X	99.00	75	43	94	77	67	62	68	61	25	51	49	75	25	69	69	58	77	66	0	32	1	929,000$
14	Robert Hagg				X	100.00	76	76	77	75	76	59	63	52	25	41	43	67	39	67	67	52	70	62	0	29	1	1,691,000$
15	Aidan Fulp				X	100.00	76	72	91	60	73	59	63	43	25	33	38	60	37	45	45	48	80	56	0	24	2	950,000$
16	Anton Malmstrom				X	100.00	78	78	79	62	79	51	53	45	25	36	38	61	37	45	45	48	82	56	0	24	2	950,000$
17	Jeremie Bucheler				X	100.00	79	71	99	60	71	48	49	47	25	40	39	62	37	44	44	51	28	55	0	24	2	950,000$
18	Will MacKinnon				X	100.00	70	72	71	67	73	56	59	44	25	33	40	57	39	45	45	48	69	55	0	24	2	950,000$
Scratches
1	Michael Eyssimont	X		X		100.00	83	91	63	75	72	61	89	70	38	65	68	66	25	61	61	66	87	66	0	28	3	1,543,000$
2	Ozzy Wiesblatt (R)			X		100.00	67	65	70	65	65	60	63	52	50	54	46	58	44	44	44	54	20	54	0	22	2	863,333$
3	Matthew Wedman	X				100.00	70	74	59	62	74	52	54	46	58	41	46	58	44	44	44	50	20	51	0	25	1	830,593$
4	William Wallinder (R)				X	84.14	80	74	94	62	75	64	69	49	25	41	41	62	39	45	45	51	56	58	0	22	1	750,000$
5	Keaton Thompson				X	100.00	75	71	85	65	71	49	50	45	25	34	41	60	39	44	44	50	20	54	0	29	2	950,000$
6	Montana Onyebuchi				X	100.00	67	82	31	65	82	57	60	46	25	37	40	56	38	44	44	48	20	54	0	24	2	950,000$
7	Zach Berzolla				X	100.00	73	73	74	61	73	50	52	42	25	28	41	58	39	44	44	49	20	53	0	26	3	800,000$
8	Brady Keeper				X	100.00	63	72	42	65	72	50	51	47	25	37	41	54	39	44	44	48	20	52	0	28	3	800,000$
9	Chris Jandric				X	100.00	65	66	64	63	66	48	50	41	25	28	39	54	37	44	44	46	20	50	0	26	3	800,000$

	TEAM AVERAGE					99.15	76	71	78	67	72	59	64	54	38	47	49	63	41	50	50	55	58	58

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	Evan Fitzpatrick	100.00	59	47	59	84	64	69	60	67	71	66	30	45	45	60	91	63	0	26	1	750,000$
2	Matthew Murray	100.00	50	51	64	45	49	50	49	54	49	50	30	44	44	50	56	49	0	26	1	750,000$
Scratches

	TEAM AVERAGE	100.00	55	49	62	65	57	60	55	61	60	58	30	45	45	55	74	56

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dan Lambert	40	40	40	40	40	40	40	TUR	80	1	750,000$

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	Jakub Vrana	Wolves (HAR)	LW	46	26	31	57	7	22	10	49	59	209	62	125	12.44%	25	989	21.51	8	9	17	23	89	1	1	2	6	109	4	1	37.50%	96	60	13	1	2	1.15	2	7	0	1	1	5	4	5
2	Michael Eyssimont	Wolves (HAR)	C/RW	44	16	28	44	4	169	65	83	75	127	39	60	12.60%	17	864	19.65	5	8	13	15	88	0	1	1	5	72	2	4	41.33%	571	22	12	0	0	1.02	1	5	7	2	4	1	5	4
3	T.J. Tynan	Wolves (HAR)	C	46	16	21	37	14	26	10	55	60	79	19	57	20.25%	12	754	16.40	0	1	1	0	36	1	0	1	2	25	2	4	60.59%	340	14	2	1	0	0.98	1	2	1	1	0	2	4	3
4	Phillip Di Giuseppe	Wolves (HAR)	LW	46	10	20	30	7	61	35	64	62	107	33	62	9.35%	14	835	18.15	1	4	5	4	71	0	0	0	7	83	3	0	30.00%	40	29	14	0	0	0.72	0	1	2	2	3	2	1	1
5	Ridly Greig	Whalers	C/LW	23	13	15	28	5	20	0	46	36	78	19	56	16.67%	17	500	21.76	3	6	9	8	53	1	0	1	4	59	5	0	53.28%	595	16	5	0	0	1.12	0	1	0	0	0	3	3	1
6	Kristian Reichel	Wolves (HAR)	RW	46	12	16	28	14	23	5	68	50	85	30	53	14.12%	9	809	17.60	1	3	4	1	49	0	0	0	1	23	2	0	44.14%	111	22	14	0	0	0.69	0	1	1	0	0	4	1	1
7	Emil Martinsen Lilleberg	Wolves (HAR)	D	46	6	15	21	19	15	5	67	74	84	42	32	7.14%	60	1134	24.66	2	1	3	6	80	0	0	0	2	94	1	0	50.00%	4	22	38	0	0	0.37	0	0	0	1	0	3	2	1
8	Jordan Oesterle	Wolves (HAR)	D	46	2	14	16	11	17	15	53	74	61	27	32	3.28%	59	1132	24.62	0	1	1	7	94	0	1	1	6	127	1	0	0%	0	18	37	0	0	0.28	0	0	0	1	2	0	1	2
9	Mathieu Olivier	Wolves (HAR)	RW	36	5	10	15	0	76	40	59	31	66	18	40	7.58%	9	559	15.53	2	1	3	4	44	0	0	0	0	4	0	0	35.71%	70	10	6	0	0	0.54	1	3	4	1	3	0	1	0
10	Justin Addamo	Wolves (HAR)	RW	46	5	8	13	-9	17	15	67	38	53	15	26	9.43%	9	657	14.29	0	1	1	4	29	0	0	0	0	0	1	0	42.31%	26	6	13	0	0	0.40	0	0	2	0	1	1	2	3
11	Daniel Torgersson	Wolves (HAR)	LW/RW	46	6	5	11	11	9	5	55	41	33	8	15	18.18%	6	680	14.80	0	0	0	0	23	0	0	0	2	32	1	0	37.21%	43	7	7	0	0	0.32	0	0	1	0	0	0	0	1
12	Carsen Twarynski	Wolves (HAR)	LW	46	7	4	11	-6	10	0	68	41	65	19	36	10.77%	4	479	10.43	0	0	0	0	3	0	0	0	0	2	1	0	44.44%	9	9	5	0	0	0.46	0	0	0	0	0	1	1	1
13	Keaton Mastrodonato	Wolves (HAR)	C	39	4	6	10	3	8	0	29	34	32	14	16	12.50%	3	363	9.31	0	0	0	0	16	0	0	0	0	26	0	1	54.05%	148	6	4	0	0	0.55	1	1	0	0	0	0	2	1
14	Philippe Maillet	Wolves (HAR)	C	31	5	5	10	4	2	0	35	32	44	15	32	11.36%	6	350	11.30	0	0	0	0	0	0	0	0	0	1	1	0	55.28%	123	7	1	0	0	0.57	0	1	0	0	0	1	1	1
15	Robert Hagg	Wolves (HAR)	D	46	1	5	6	-7	48	20	55	50	38	9	12	2.63%	27	881	19.16	1	0	1	2	70	0	0	0	5	83	0	0	0%	0	3	12	0	0	0.14	0	0	1	2	1	0	0	0
16	William Wallinder	Wolves (HAR)	D	33	0	5	5	-12	10	10	22	42	25	14	10	0%	22	656	19.88	0	2	2	1	55	0	0	0	3	67	0	0	0%	0	2	13	0	0	0.15	0	0	1	0	1	0	0	0
17	Sam Morton	Wolves (HAR)	LW	41	0	3	3	5	14	0	22	17	12	4	8	0%	6	307	7.49	0	0	0	0	0	0	0	0	0	0	0	0	38.89%	18	0	4	0	0	0.20	0	0	0	0	0	0	0	0
18	Aidan Fulp	Wolves (HAR)	D	46	0	2	2	9	14	10	29	26	13	7	4	0%	20	699	15.20	0	0	0	0	35	0	0	0	0	39	0	0	0%	0	1	6	0	0	0.06	0	0	2	0	0	0	0	0
19	Anton Malmstrom	Wolves (HAR)	D	46	0	2	2	15	38	20	38	28	18	6	12	0%	13	666	14.50	0	0	0	0	0	0	0	0	1	27	0	0	0%	1	0	12	0	0	0.06	0	0	2	0	2	0	0	0
20	Will MacKinnon	Wolves (HAR)	D	46	0	1	1	4	15	5	17	11	2	1	1	0%	3	320	6.97	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0.06	0	0	0	1	0	0	0	0
21	Jeremie Bucheler	Wolves (HAR)	D	16	0	0	0	1	0	0	0	2	0	0	0	0%	2	41	2.58	0	0	0	0	0	0	0	0	0	1	0	0	0%	1	0	1	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				861	134	216	350	99	614	270	981	883	1231	401	689	10.89%	343	13682	15.89	23	37	60	75	844	3	3	6	44	884	24	10	48.68%	2196	254	219	2	2	0.51	6	22	24	12	18	23	28	25

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	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Evan Fitzpatrick	Wolves (HAR)	31	17	10	3	0.884	2.30	1849	3	71	613	317	6	2	0.667	21	31	15	0	1	2
2	Cayden Primeau	Whalers	15	10	4	1	0.913	2.06	905	2	31	358	197	1	0	0	2	15	0	1	0	3
3	Matthew Murray	Wolves (HAR)	2	0	1	0	0.700	13.85	39	0	9	30	14	0	0	0	0	0	31	0	0	0
Team Total or Average			48	27	15	4	0.889	2.38	2794	5	111	1001	528	7	2		23	46	46	1	1	5

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 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
Aidan Fulp	Wolves (HAR)	D	24	2000-02-29	USA	No	192 Lbs	6 ft2	No	No	Free Agent	No	No	2	2024-10-16	False	False	Pro & Farm	950,000$	499,153$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Anton Malmstrom	Wolves (HAR)	D	24	2000-03-18	SWE	No	205 Lbs	6 ft4	No	No	Free Agent	No	No	2	2024-10-16	False	False	Pro & Farm	950,000$	499,153$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Brady Keeper	Wolves (HAR)	D	28	1996-05-06	MB	No	194 Lbs	6 ft2	No	No	Free Agent	No	No	3	2024-10-16	False	False	Pro & Farm	800,000$	420,339$	0$	0$	No	800,000$	800,000$	-	-	-	-	-	-	-	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Carsen Twarynski	Wolves (HAR)	LW	27	1997-11-24	AB	No	198 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	1,044,000$	548,542$	0$	0$	No	1,044,000$	-	-	-	-	-	-	-	-	1,044,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Chris Jandric	Wolves (HAR)	D	26	1998-10-03	BC	No	181 Lbs	5 ft11	No	No	Free Agent	No	No	3	2024-10-16	False	False	Pro & Farm	800,000$	420,339$	0$	0$	No	800,000$	800,000$	-	-	-	-	-	-	-	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Daniel Torgersson	Wolves (HAR)	LW/RW	22	2002-01-26	SWE	Yes	199 Lbs	6 ft3	No	No	N/A	No	No	2		False	False	Pro & Farm	925,000$	486,017$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Emil Martinsen Lilleberg	Wolves (HAR)	D	23	2001-02-02	NOR	Yes	185 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	870,000$	457,119$	0$	0$	No	870,000$	-	-	-	-	-	-	-	-	870,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Evan Fitzpatrick	Wolves (HAR)	G	26	1998-01-28	NFL	No	223 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	750,000$	394,068$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jakub Vrana	Wolves (HAR)	LW	28	1996-02-28	CZE	No	194 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	2,858,000$	1,501,661$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jeremie Bucheler	Wolves (HAR)	D	24	2000-03-31	QUE	No	181 Lbs	6 ft4	No	No	Free Agent	No	No	2	2024-10-16	False	False	Pro & Farm	950,000$	499,153$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jordan Oesterle	Wolves (HAR)	D	32	1992-06-25	USA	No	183 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	929,000$	488,119$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Justin Addamo	Wolves (HAR)	RW	26	1998-05-27	FRA	No	249 Lbs	6 ft6	No	No	Free Agent	No	No	2	2024-10-16	False	False	Pro & Farm	950,000$	499,153$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Keaton Mastrodonato	Wolves (HAR)	C	24	2000-09-24	BC	No	205 Lbs	6 ft0	No	No	Free Agent	No	No	2	2024-10-16	False	False	Pro & Farm	950,000$	499,153$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Keaton Thompson	Wolves (HAR)	D	29	1995-09-14	USA	No	197 Lbs	6 ft0	No	No	Free Agent	No	No	2	2024-10-16	False	False	Pro & Farm	950,000$	499,153$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Kristian Reichel	Wolves (HAR)	RW	26	1998-06-11	CZE	Yes	188 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	935,000$	491,271$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mathieu Olivier	Wolves (HAR)	RW	27	1997-02-11	QUE	No	209 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	1,240,000$	651,525$	0$	0$	No	1,240,000$	-	-	-	-	-	-	-	-	1,240,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Matthew Murray	Wolves (HAR)	G	26	1998-02-02	AB	No	170 Lbs	5 ft2	No	No	Free Agent	No	No	1	2024-10-16	False	False	Pro & Farm	750,000$	394,068$	0$	0$	No	-	-	-	-	-	-	-	-	-	989,000$	989,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Matthew Wedman	Wolves (HAR)	C	25	1999-05-25	AB	No	197 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	830,593$	436,413$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Michael Eyssimont	Wolves (HAR)	C/RW	28	1996-09-09	USA	No	191 Lbs	6 ft0	No	No	N/A	No	No	3		False	False	Pro & Farm	1,543,000$	810,729$	0$	0$	No	1,543,000$	1,543,000$	-	-	-	-	-	-	-	822,755$	822,755$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Montana Onyebuchi	Wolves (HAR)	D	24	2000-03-08	MAN	No	220 Lbs	6 ft3	No	No	Free Agent	No	No	2	2024-10-16	False	False	Pro & Farm	950,000$	499,153$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Ozzy Wiesblatt	Wolves (HAR)	RW	22	2002-09-03	AB	Yes	183 Lbs	5 ft10	No	No	N/A	No	No	2		False	False	Pro & Farm	863,333$	453,616$	0$	0$	No	863,333$	-	-	-	-	-	-	-	-	863,333$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Philippe Maillet	Wolves (HAR)	C	32	1992-11-07	QUE	No	185 Lbs	5 ft10	No	No	N/A	No	No	1		False	False	Pro & Farm	750,000$	394,068$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Phillip Di Giuseppe	Wolves (HAR)	LW	31	1993-09-10	ONT	No	191 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	1,100,000$	577,966$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Robert Hagg	Wolves (HAR)	D	29	1995-02-08	SWE	No	205 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	1,691,000$	888,492$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Sam Morton	Wolves (HAR)	LW	25	1999-07-28	USA	No	181 Lbs	6 ft0	No	No	Free Agent	No	No	2	2024-10-16	False	False	Pro & Farm	950,000$	499,153$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
T.J. Tynan	Wolves (HAR)	C	32	1992-02-25	USA	No	165 Lbs	5 ft8	No	No	N/A	No	No	1		False	False	Pro & Farm	1,314,000$	690,407$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Will MacKinnon	Wolves (HAR)	D	24	2000-04-13	USA	No	201 Lbs	5 ft11	No	No	Free Agent	No	No	2	2024-10-16	False	False	Pro & Farm	950,000$	499,153$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
William Wallinder (Out of Payroll)	Wolves (HAR)	D	22	2002-07-28	SWE	Yes	191 Lbs	6 ft4	No	No	N/A	No	No	1		False	False	Pro & Farm	750,000$	394,068$	0$	0$	Yes	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Zach Berzolla	Wolves (HAR)	D	26	1998-05-28	USA	No	196 Lbs	6 ft2	No	No	Free Agent	No	No	3	2024-10-16	False	False	Pro & Farm	800,000$	420,339$	0$	0$	No	800,000$	800,000$	-	-	-	-	-	-	-	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
29	26.28	195 Lbs	6 ft1	1.76	1,037,687$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jakub Vrana	Kristian Reichel	Justin Addamo	40	1	2	2
2	Phillip Di Giuseppe	T.J. Tynan	Mathieu Olivier	30	1	2	2
3	Daniel Torgersson	Philippe Maillet	Kristian Reichel	20	1	2	2
4	Carsen Twarynski	Jakub Vrana	Justin Addamo	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Emil Martinsen Lilleberg	Jordan Oesterle	40	1	2	2
2	Robert Hagg	Anton Malmstrom	30	1	2	2
3	Aidan Fulp	Anton Malmstrom	20	1	2	2
4	Will MacKinnon	Jordan Oesterle	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jakub Vrana	Kristian Reichel	Justin Addamo	60	1	2	2
2	Phillip Di Giuseppe	T.J. Tynan	Mathieu Olivier	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Aidan Fulp	Jordan Oesterle	60	1	2	2
2	Robert Hagg	Emil Martinsen Lilleberg	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kristian Reichel	Jakub Vrana	60	1	2	2
2	T.J. Tynan	Phillip Di Giuseppe	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Anton Malmstrom	Jordan Oesterle	60	1	2	2
2	Robert Hagg	Aidan Fulp	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jakub Vrana	60	1	2	2	Anton Malmstrom	Jordan Oesterle	60	1	2	2
2	T.J. Tynan	40	1	2	2	Robert Hagg	Aidan Fulp	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Justin Addamo	Jakub Vrana	60	1	2	2
2	T.J. Tynan	Phillip Di Giuseppe	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Emil Martinsen Lilleberg	Jordan Oesterle	60	1	2	2
2	Robert Hagg	Anton Malmstrom	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jakub Vrana	Phillip Di Giuseppe	Justin Addamo	Emil Martinsen Lilleberg	Jordan Oesterle

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jakub Vrana	Phillip Di Giuseppe	Justin Addamo	Emil Martinsen Lilleberg	Jordan Oesterle

Extra Forwards
Normal	PowerPlay	Penalty Kill
Kristian Reichel, T.J. Tynan, Philippe Maillet	Kristian Reichel, T.J. Tynan	Kristian Reichel

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Aidan Fulp, Anton Malmstrom, Will MacKinnon	Aidan Fulp	Aidan Fulp, Anton Malmstrom

Penalty Shots
T.J. Tynan, Jakub Vrana, Phillip Di Giuseppe, Mathieu Olivier, Kristian Reichel

Goalie
#1 : Evan Fitzpatrick, #2 : Matthew Murray

Custom OT Lines Forwards
Mathieu Olivier, Jakub Vrana, Phillip Di Giuseppe, T.J. Tynan, Daniel Torgersson, Keaton Mastrodonato, Keaton Mastrodonato, Kristian Reichel, Carsen Twarynski, Justin Addamo, Philippe Maillet

Custom OT Lines Defensemen
Jordan Oesterle, Robert Hagg, Emil Martinsen Lilleberg, Will MacKinnon, Aidan Fulp

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	Americans	1	0	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	4	7	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	6	10	0	0	28	49	53	10	31	316	462	444	31	42	9	16	18	3	2	66.67%	3	2	33.33%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
2	Barracuda	3	2	0	0	0	0	0	1	9	4	5	1	1	0	0	0	0	0	0	5	1	4	2	1	0	0	0	0	0	1	4	3	1	5	0.833	9	15	24	0	0	28	49	53	10	79	316	462	444	31	50	14	25	48	11	2	18.18%	10	1	90.00%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
3	Bears	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	1	0	28	49	53	10	38	316	462	444	31	24	6	4	30	3	1	33.33%	2	0	100.00%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
4	Checkers	1	1	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	2	4	2	1.000	6	11	17	0	0	28	49	53	10	29	316	462	444	31	20	8	30	17	1	0	0.00%	5	0	100.00%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
5	Comets	4	2	2	0	0	0	0	0	12	11	1	2	1	1	0	0	0	0	0	5	4	1	2	1	1	0	0	0	0	0	7	7	0	4	0.500	12	18	30	0	0	28	49	53	10	118	316	462	444	31	85	29	45	86	12	4	33.33%	10	2	80.00%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
6	Condors	3	1	1	0	0	0	0	1	12	16	-4	2	1	0	0	0	0	0	1	10	7	3	1	0	1	0	0	0	0	0	2	9	-7	3	0.500	12	19	31	0	0	28	49	53	10	100	316	462	444	31	103	29	103	56	12	2	16.67%	9	2	77.78%	1	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
7	Crunch	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	1	2	0	0	28	49	53	10	21	316	462	444	31	18	9	16	22	0	0	0%	3	1	66.67%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
8	Griffins	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	5	8	0	0	28	49	53	10	23	316	462	444	31	19	8	39	26	7	1	14.29%	2	0	100.00%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
9	Gulls	3	0	1	0	1	0	0	1	9	11	-2	1	0	1	0	0	0	0	0	2	4	-2	2	0	0	0	1	0	0	1	7	7	0	3	0.500	9	12	21	0	0	28	49	53	10	88	316	462	444	31	84	23	32	83	3	0	0.00%	11	2	81.82%	1	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
10	Heat	1	0	0	0	0	0	1	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	2	1	1	2	1.000	2	1	3	0	0	28	49	53	10	15	316	462	444	31	12	1	4	18	2	1	50.00%	2	0	100.00%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
11	IceHogs	4	2	2	0	0	0	0	0	14	10	4	2	1	1	0	0	0	0	0	3	2	1	2	1	1	0	0	0	0	0	11	8	3	4	0.500	14	24	38	0	2	28	49	53	10	123	316	462	444	31	49	23	96	82	13	4	30.77%	13	3	76.92%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
12	Islanders	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	10	15	0	0	28	49	53	10	34	316	462	444	31	46	7	13	21	3	2	66.67%	4	1	75.00%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
13	Monsters	4	1	1	0	1	0	1	0	9	8	1	3	1	1	0	0	0	1	0	6	6	0	1	0	0	0	1	0	0	0	3	2	1	6	0.750	9	12	21	0	0	28	49	53	10	94	316	462	444	31	80	34	45	88	7	0	0.00%	10	1	90.00%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
14	Penguins	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	0	2	2	1.000	2	3	5	0	1	28	49	53	10	28	316	462	444	31	8	4	4	25	0	0	0%	2	0	100.00%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
15	Phantoms	1	0	0	0	0	0	1	0	3	2	1	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	4	7	0	0	28	49	53	10	24	316	462	444	31	30	13	6	24	1	0	0.00%	3	0	100.00%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
16	Reign	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	1	0	28	49	53	10	14	316	462	444	31	17	5	29	16	1	0	0.00%	2	0	100.00%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
17	Rocket	3	3	0	0	0	0	0	0	13	8	5	2	2	0	0	0	0	0	0	10	7	3	1	1	0	0	0	0	0	0	3	1	2	6	1.000	13	22	35	0	0	28	49	53	10	97	316	462	444	31	102	45	27	59	12	4	33.33%	11	2	81.82%	1	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
18	Senators	6	4	1	0	0	0	0	1	19	11	8	3	3	0	0	0	0	0	0	14	6	8	3	1	1	0	0	0	0	1	5	5	0	9	0.750	19	29	48	0	1	28	49	53	10	148	316	462	444	31	80	31	41	140	9	0	0.00%	18	4	77.78%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
19	Silver Knights	4	0	3	0	1	0	0	0	4	11	-7	2	0	2	0	0	0	0	0	1	7	-6	2	0	1	0	1	0	0	0	3	4	-1	2	0.250	4	6	10	0	1	28	49	53	10	79	316	462	444	31	103	33	27	69	5	0	0.00%	11	3	72.73%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
20	Stars	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	28	49	53	10	29	316	462	444	31	13	8	12	33	1	0	0.00%	1	0	100.00%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
21	Wolf Pack	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	5	8	0	0	28	49	53	10	19	316	462	444	31	18	4	0	20	1	0	0.00%	0	0	0%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
	Total	46	20	15	0	4	0	3	4	137	117	20	23	11	8	0	1	0	2	1	71	58	13	23	9	7	0	3	0	1	3	66	59	7	58	0.630	137	216	353	2	5	28	49	53	10	1231	316	462	444	31	1003	343	614	981	107	23	21.50%	132	24	81.82%	3	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
	_Since Last GM Reset	46	20	15	0	4	0	3	4	137	117	20	23	11	8	0	1	0	2	1	71	58	13	23	9	7	0	3	0	1	3	66	59	7	58	0.630	137	216	353	2	5	28	49	53	10	1231	316	462	444	31	1003	343	614	981	107	23	21.50%	132	24	81.82%	3	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
	_Vs Conference	36	16	12	0	3	0	1	4	105	93	12	18	10	6	0	0	0	1	1	56	44	12	18	6	6	0	3	0	0	3	49	49	0	44	0.611	105	163	268	0	4	28	49	53	10	966	316	462	444	31	772	274	457	753	85	16	18.82%	106	21	80.19%	3	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513
	_Vs Division	5	14	6	0	1	0	1	2	19	11	8	3	9	3	0	0	0	1	0	8	3	5	2	5	3	0	1	0	0	2	11	8	3	34	3.400	19	33	52	0	2	28	49	53	10	152	316	462	444	31	62	31	108	115	14	4	28.57%	14	3	78.57%	0	416	833	49.94%	391	770	50.78%	262	561	46.70%	889	405	844	500	1063	513

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
46	58	W6	137	216	353	1231	1003	343	614	981	2	5

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
46	20	15	4	0	3	4	137	117

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	11	8	1	0	2	1	71	58

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	9	7	3	0	1	3	66	59

Last 10 Games
W	L	OTW	OTL	SOW	SOL
8	1	0	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
107	23	21.50%	132	24	81.82%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
316	462	444	31	28	49	53	10

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
416	833	49.94%	391	770	50.78%	262	561	46.70%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
889	405	844	500	1063	513

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	17	Silver Knights	1	Wolves	0	L			BoxScore
3	31	Wolves	1	Silver Knights	0	W	X		BoxScore
4	43	Wolves	1	Barracuda	2	L	X	X	BoxScore
5	56	Barracuda	1	Wolves	5	W			BoxScore
6	71	Wolves	7	IceHogs	0	W			BoxScore
8	87	Monsters	2	Wolves	3	W			BoxScore
9	105	Gulls	4	Wolves	2	L			BoxScore
11	128	Senators	2	Wolves	4	W			BoxScore
12	143	Wolves	3	Monsters	2	W	X		BoxScore
13	157	Silver Knights	6	Wolves	1	L			BoxScore
14	171	Wolves	2	Silver Knights	4	L			BoxScore
16	191	Comets	1	Wolves	3	W			BoxScore
17	201	Wolves	3	Rocket	1	W			BoxScore
18	222	Rocket	4	Wolves	5	W			BoxScore
20	246	Wolves	4	Comets	2	W			BoxScore
21	254	IceHogs	0	Wolves	2	W			BoxScore
22	267	Wolves	0	Senators	2	L			BoxScore
23	284	Rocket	3	Wolves	5	W			BoxScore
25	300	Wolves	3	Comets	5	L			BoxScore
26	315	Comets	3	Wolves	2	L			BoxScore
27	333	Wolves	6	Checkers	2	W			BoxScore
28	346	Wolves	5	Islanders	3	W			BoxScore
29	356	Condors	4	Wolves	3	L	X	X	BoxScore
30	374	Stars	1	Wolves	5	W			BoxScore
32	390	Wolves	3	Senators	0	W			BoxScore
33	407	Senators	3	Wolves	5	W			BoxScore
34	422	Wolves	3	Barracuda	1	W			BoxScore
35	436	Americans	7	Wolves	4	L			BoxScore
36	447	Wolves	2	Bears	4	L			BoxScore
38	467	Reign	2	Wolves	0	L			BoxScore
40	483	Wolves	2	Condors	9	L			BoxScore
41	499	Condors	3	Wolves	7	W			BoxScore
42	512	Wolves	4	IceHogs	8	L			BoxScore
43	522	Wolves	1	Crunch	2	L			BoxScore
45	539	IceHogs	2	Wolves	1	L			BoxScore
46	560	Wolves	2	Gulls	3	L	X	X	BoxScore
47	572	Griffins	2	Wolves	3	W	X		BoxScore
48	592	Monsters	3	Wolves	1	L			BoxScore
49	604	Wolves	2	Heat	1	W	X	X	BoxScore
50	619	Wolves	2	Senators	3	L	X	X	BoxScore
51	630	Senators	1	Wolves	5	W			BoxScore
52	643	Wolves	2	Penguins	0	W			BoxScore
53	664	Monsters	1	Wolves	2	W	X	X	BoxScore
54	679	Wolves	5	Gulls	4	W	X		BoxScore
55	690	Wolves	3	Wolf Pack	1	W			BoxScore
56	703	Phantoms	2	Wolves	3	W	X	X	BoxScore
58	724	Crunch	-	Wolves	-
59	737	Wolves	-	Bruins	-
60	756	Rocket	-	Wolves	-
62	774	Wolves	-	Comets	-
63	784	Wolves	-	Phantoms	-
64	796	Roadrunners	-	Wolves	-
65	815	Bruins	-	Wolves	-
66	827	Wolves	-	Bruins	-
68	845	Wolves	-	Silver Knights	-
69	859	IceHogs	-	Wolves	-
71	877	Wolves	-	Wolf Pack	-
72	888	Islanders	-	Wolves	-
73	903	Wolves	-	IceHogs	-
74	918	Barracuda	-	Wolves	-
75	932	Wolves	-	Marlies	-
76	948	Wolves	-	Thunderbirds	-
77	960	Gulls	-	Wolves	-
79	982	Wolf Pack	-	Wolves	-
80	996	Wolves	-	Wild	-
81	1009	Silver Knights	-	Wolves	-
82	1021	Wolves	-	Canucks	-
84	1038	Wolves	-	Canucks	-
85	1052	Comets	-	Wolves	-
86	1070	Wolves	-	Thunderbirds	-
87	1082	Silver Knights	-	Wolves	-
88	1099	Wolves	-	Roadrunners	-
89	1113	Bruins	-	Wolves	-
90	1133	Wolves	-	Barracuda	-
91	1139	Wolves	-	Condors	-
92	1148	Moose	-	Wolves	-
94	1173	Admirals	-	Wolves	-
96	1198	Wolves	-	Crunch	-
Trade Deadline --- Trades can’t be done after this day is simulated!
97	1205	Eagles	-	Wolves	-
98	1226	Canucks	-	Wolves	-
99	1238	Wolves	-	Monsters	-
100	1255	Wolf Pack	-	Wolves	-
101	1269	Wolves	-	Rocket	-
103	1289	Canucks	-	Wolves	-
105	1310	Barracuda	-	Wolves	-
106	1321	Wolves	-	Rocket	-
107	1338	Wolves	-	Silver Knights	-
108	1346	Wolves	-	Wild	-
109	1358	Wild	-	Wolves	-
110	1364	Wolves	-	Monsters	-
113	1391	Crunch	-	Wolves	-
116	1415	Wild	-	Wolves	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	16
Attendance	32,822	16,505
Attendance PCT	71.35%	71.76%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
23	2145 - 71.49%	91,528$	2,105,148$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
1,818,661$	3,009,292$	2,828,568$	750,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
24,867$	1,449,390$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,105,148$	62	31,858$	1,975,196$

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: 46 \| W: 27 \| L: 15 \| OTL: 4 \| P: 58 GF: 137 \| GA: 117 \| PP%: 21.50% \| PK%: 81.82% GM : Gabriel Whiddon \| Morale : 60 \| Team Overall : 58 Next Games #724 vs Crunch