Flames
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat
Web Lines Editor

Game Center
	Eagles 47-30-5, 99pts	5	FINAL	0	Wranglers 31-45-6, 68pts

Team Stats
W5	Streak	L2
21-18-2	Home Record	13-23-5
26-12-3	Away Record	18-22-1
5-5-0	Last 10 Games	5-5-0
3.89	Goals Per Game	3.43
3.39	Goals Against Per Game	4.11
23.27%	Power Play Percentage	19.63%
76.37%	Penalty Kill Percentage	79.67%

Reign
41-36-5, 87pts

FINAL

Wranglers
31-45-6, 68pts

Team Stats
W1	Streak	L2
23-17-1	Home Record	13-23-5
18-19-4	Away Record	18-22-1
4-4-2	Last 10 Games	5-5-0
3.72	Goals Per Game	3.43
3.59	Goals Against Per Game	4.11
21.37%	Power Play Percentage	19.63%
75.00%	Penalty Kill Percentage	79.67%

Team Leaders
	Goals Ethan Bear 12	Assists Ethan Bear 23

	Points Ethan Bear 35	Plus/Minus Ethan Bear 11

	Wins Matt Tomkins 31	Save Percentage Magnus Chrona 0.939

Team Stats
Goals For 281 3.43 GFG	Shots For 3128 38.15 Avg	Power Play Percentage 19.6% 43 GF	Offensive Zone Start 38.2%
Goals Against 337 4.11 GAA	Shots Against 3538 43.15 Avg	Penalty Kill Percentage 79.7% 50 GA	Defensive Zone Start 44.1%

Team Info
	General Manager	Philippe Gagné
	Coach	Todd Reirden
	Division	Pacific Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,990
	Season Tickets	300
Roster Info
	Pro Team	28
	Farm Team	21
	Contract Limit	49 / 80
	Prospects	47
Team History
	This Season	31-45-6 (68PTS)
	History	71-80-12 (0.436%)
	Playoff Appearances	0
	Playoff Record (W-L)	-
	Stanley Cup	0

Show or Hide Column

Filter Tips

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

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Ross Johnston	0		X			100.00	82	85	59	65	96	72	81	62	53	61	60	63	58	72	74	0	75	64	0	31	1	920,100$
2	Jeff Malott	0		X			100.00	79	43	70	61	91	84	87	62	65	63	61	64	62	69	71	0	75	64	0	29	1	750,000$
3	Mike Vecchione	0	X		X		100.00	60	37	89	61	69	81	85	60	63	59	61	56	62	72	74	0	75	62	0	32	1	750,000$
4	Garrett Wilson	0		X	X		100.00	78	72	50	55	87	76	83	56	62	57	58	59	56	74	79	0	75	61	0	34	1	750,000$
5	Ethan Keppen (R)	0		X			100.00	74	39	86	58	83	76	64	57	62	59	56	61	57	64	66	0	75	61	0	24	3	950,000$
6	William Dufour (R)	0			X		100.00	74	42	74	59	83	84	81	57	60	56	58	55	57	64	65	0	75	61	0	23	1	950,000$
7	Samu Tuomaala (R)	0			X		100.00	56	37	89	62	67	82	81	61	66	64	59	57	61	62	64	0	75	61	0	22	2	950,000$
8	Travis Barron	0		X			100.00	69	42	69	59	78	74	85	58	61	56	57	59	55	67	69	0	75	61	0	26	1	750,000$
9	Brett Harrison (R)	0		X			100.00	68	38	94	59	77	75	77	58	63	57	56	55	58	62	64	0	75	60	0	22	2	950,000$
10	Xavier Bourgault (R)	0			X		100.00	60	37	90	59	69	83	82	56	59	58	57	55	56	63	65	0	75	60	0	22	1	950,000$
11	Samuel Honzek (R)	0		X			100.00	73	39	89	58	84	79	70	57	60	56	55	59	57	62	63	0	75	60	0	20	3	950,000$
12	David Jiricek	0				X	100.00	74	40	82	65	87	84	81	63	30	66	59	65	50	62	64	0	75	64	0	21	1	950,000$
13	Owen Pickering (R)	0				X	100.00	75	39	93	64	89	81	73	63	30	60	59	66	50	61	63	0	75	64	0	21	3	950,000$
14	Max Lajoie	0				X	100.00	70	38	84	64	76	78	84	62	30	65	54	63	48	68	70	0	75	63	0	27	1	750,000$
15	Cam Dineen (R)	29				X	100.00	60	36	90	62	70	87	83	59	30	63	56	65	49	67	69	0	75	62	0	27	1	850,000$
16	Gustav Olofsson	0				X	100.00	66	38	87	59	80	81	79	57	30	58	54	61	47	71	73	0	75	61	0	30	1	1,100,000$
17	Ryan Ufko (R)	0				X	100.00	64	36	93	63	69	82	75	62	30	60	57	59	49	62	64	0	75	61	0	22	3	950,000$
18	Kirill Kudryavtsev (R)	0				X	100.00	63	36	90	61	73	80	72	59	30	60	54	57	49	61	63	0	75	60	0	21	3	950,000$
Scratches
1	Jan Mysak (R)	0	X				87.14	57	36	90	60	67	85	84	58	65	60	59	61	58	63	65	0	75	61	0	23	1	950,000$
2	Elliot Desnoyers (R)	0		X			100.00	60	38	87	59	69	78	83	58	55	57	54	56	58	63	65	0	75	59	0	23	1	950,000$
3	Danil Zhilkin (R)	0	X				100.00	66	38	88	56	76	73	78	55	60	54	53	57	55	62	64	0	75	59	0	21	2	950,000$
4	Trevor Kuntar (R)	0	X				100.00	66	43	62	57	75	85	83	56	61	55	54	58	59	64	66	0	75	59	0	24	2	950,000$
5	Jakub Dvorak (R)	0				X	100.00	81	42	81	55	90	62	68	54	30	52	50	57	45	60	62	0	75	58	0	20	3	950,000$
6	Angus Booth (R)	0				X	100.00	61	39	76	55	70	64	68	54	30	57	53	56	45	61	63	0	75	57	0	21	3	950,000$

	TEAM AVERAGE					99.46	68	42	82	60	78	79	79	59	49	59	56	59	54	65	67	0	75	61

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Spencer Martin	100.00	78	82	77	82	77	76	78	77	76	78	77	70	84	0	75	68	0	30	2	3,000,000$
2	Matt Tomkins	100.00	75	83	78	85	74	73	75	74	73	75	74	71	85	0	75	66	0	31	2	950,000$
Scratches
1	Magnus Chrona (R)	100.00	75	84	80	94	74	73	75	74	73	75	74	65	73	0	75	66	0	25	2	950,000$
2	Damian Clara (R)	100.00	63	70	67	95	62	61	63	62	61	63	62	60	63	0	75	59	0	20	3	950,000$

	TEAM AVERAGE	100.00	73	80	76	89	72	71	73	72	71	73	72	67	76	0	75	65

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Todd Reirden	74	70	73	71	79	74	70	USA	54	1	1,000,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSS	FW	FT	S1	S2	S3
1	Jan Mysak	Wranglers (CGY)	C	80	32	40	72	1	16	0	53	231	314	88	226	10.19%	37	1394	17.43	1	2	3	16	78	0	0	0	1	1	4	1	51.92%	1980	0	0	1.03	0	0	0	3	6	4
2	Ross Johnston	Wranglers (CGY)	LW	44	25	21	46	13	96	20	168	89	203	46	138	12.32%	13	883	20.08	2	1	3	19	67	1	0	1	3	62	5	2	55.00%	200	0	1	1.04	2	4	0	3	4	2
3	Samu Tuomaala	Wranglers (CGY)	RW	82	21	25	46	-4	6	0	25	123	223	49	164	9.42%	22	933	11.38	0	0	0	0	0	0	0	0	0	0	2	0	49.24%	132	0	0	0.99	2	0	0	0	3	6
4	Travis Barron	Wranglers (CGY)	LW	71	17	24	41	-8	40	0	142	106	188	68	125	9.04%	13	888	12.52	0	0	0	0	4	0	0	0	0	5	1	0	52.07%	217	0	0	0.92	1	0	0	1	3	6
5	David Jiricek	Wranglers (CGY)	D	38	5	31	36	2	42	0	115	52	57	12	44	8.77%	67	833	21.95	3	3	6	26	64	0	1	1	1	90	0	0	0.00%	0	0	0	0.86	0	0	0	4	0	3
6	Jeff Malott	Wranglers (CGY)	LW	43	20	15	35	-6	22	10	188	86	203	57	150	9.85%	31	987	22.97	5	5	10	29	94	0	0	0	10	163	1	0	60.00%	90	0	0	0.71	2	0	2	3	0	4
7	Ethan Bear	Flames	D	33	12	23	35	11	20	0	103	61	62	26	37	19.35%	60	752	22.82	1	8	9	25	84	0	0	0	0	99	2	0	0.00%	0	1	0	0.93	0	0	0	4	2	1
8	Max Lajoie	Wranglers (CGY)	D	49	2	30	32	-10	26	0	113	77	58	19	45	3.45%	88	975	19.90	0	6	6	18	67	1	0	1	1	103	0	0	25.00%	4	0	0	0.66	0	0	0	0	2	0
9	William Dufour	Wranglers (CGY)	RW	54	11	15	26	7	8	0	88	62	137	37	105	8.03%	10	969	17.96	0	0	0	12	71	0	0	0	0	2	1	0	48.84%	86	0	1	0.54	0	0	0	1	1	2
10	Mike Vecchione	Wranglers (CGY)	C/RW	40	10	16	26	-3	8	0	9	49	126	45	90	7.94%	8	814	20.36	3	4	7	19	86	0	0	0	2	52	3	1	59.38%	96	0	0	0.64	1	0	0	1	0	0
11	Garrett Wilson	Wranglers (CGY)	LW/RW	82	12	11	23	3	35	5	131	66	125	27	85	9.60%	16	578	7.05	0	0	0	0	0	0	0	0	5	49	1	1	59.62%	156	0	0	0.80	0	0	1	2	0	0
12	Lucas Condotta	Flames	C	15	8	10	18	2	2	0	16	52	54	14	33	14.81%	7	327	21.82	2	4	6	5	24	0	0	0	0	45	0	0	55.26%	447	0	0	1.10	0	0	0	2	2	0
13	Gustav Olofsson	Wranglers (CGY)	D	45	2	16	18	3	26	0	89	37	30	5	26	6.67%	43	543	12.07	0	0	0	0	0	0	0	0	1	35	0	0	0.00%	0	0	0	0.66	0	0	0	1	0	1
14	Cam Dineen	Wranglers (CGY)	D	31	3	10	13	-6	18	0	38	44	38	10	23	7.89%	34	480	15.51	0	2	2	9	13	0	0	0	0	22	0	0	0.00%	0	0	0	0.54	0	0	0	1	0	0
15	Kirill Kudryavtsev	Wranglers (CGY)	D	24	3	9	12	0	8	0	26	47	25	8	17	12.00%	25	489	20.40	0	0	0	0	0	0	0	0	0	0	1	0	35.71%	322	0	0	0.49	0	0	0	0	2	0
16	Dennis Cholowski	Flames	D	13	3	8	11	3	18	0	36	23	28	5	17	10.71%	15	292	22.54	2	1	3	16	35	0	0	0	0	41	0	0	0.00%	0	0	0	0.75	0	0	0	0	1	1
17	Ryan Ufko	Wranglers (CGY)	D	46	3	4	7	-6	2	0	31	20	20	4	18	15.00%	26	246	5.35	0	0	0	0	0	0	0	0	0	9	0	0	0.00%	1	0	0	0.57	0	0	0	0	0	1
18	Xavier Bourgault	Wranglers (CGY)	RW	10	2	4	6	1	2	0	2	12	20	7	14	10.00%	3	133	13.39	0	0	0	0	0	0	0	0	1	16	1	0	61.33%	75	0	0	0.90	0	0	0	0	1	0
19	Brett Harrison	Wranglers (CGY)	LW	10	3	1	4	0	0	0	3	8	16	5	10	18.75%	1	86	8.66	0	0	0	0	0	0	0	0	0	0	1	0	77.78%	9	0	0	0.92	0	0	0	0	0	1
20	Jakub Dvorak	Wranglers (CGY)	D	10	1	3	4	-1	16	0	21	2	6	3	3	16.67%	13	139	13.99	0	0	0	0	0	0	0	0	0	2	0	0	0.00%	0	0	0	0.57	0	0	0	0	0	1
21	Trevor Kuntar	Wranglers (CGY)	C	10	2	2	4	-5	2	0	14	13	19	6	12	10.53%	5	186	18.69	0	0	0	0	0	0	0	0	0	0	0	0	61.11%	72	0	0	0.43	0	0	0	0	0	0
22	Angus Booth	Wranglers (CGY)	D	10	0	3	3	-1	0	0	6	2	12	4	4	0.00%	9	149	14.94	0	0	0	0	0	0	0	0	0	13	0	0	0.00%	0	0	0	0.40	0	0	0	0	1	0
23	Danil Zhilkin	Wranglers (CGY)	C	10	2	1	3	0	2	0	10	10	19	4	7	10.53%	2	85	8.59	0	0	0	0	0	0	0	0	0	0	0	0	53.19%	94	0	0	0.70	0	0	0	0	1	0
24	Ethan Keppen	Wranglers (CGY)	LW	9	0	3	3	-3	0	0	5	11	15	4	8	0.00%	1	122	13.59	0	0	0	0	0	0	0	0	0	0	0	0	48.36%	122	0	0	0.49	0	0	0	0	0	0
25	Owen Pickering	Wranglers (CGY)	D	2	0	3	3	3	6	0	5	5	2	4	0	0.00%	5	44	22.35	0	1	1	0	1	0	0	0	0	3	0	0	0.00%	0	0	0	1.34	0	0	0	0	0	0
Team Total or Average				861	199	328	527	-4	421	35	1437	1288	2000	557	1401	9.95%	554	13342	15.50	19	37	56	194	695	2	1	3	25	823	23	5	51.94%	4103	1	2	0.79	8	4	3	26	29	33

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2
1	Matt Tomkins	Wranglers (CGY)	82	31	45	6	0.904	4.18	4468	10	4	311	3229	2	4	0.750	8	82	0	9	7
2	Magnus Chrona	Wranglers (CGY)	11	0	0	0	0.939	2.41	423	0	0	17	279	0	0	0.000	0	0	72	1	0
Team Total or Average			93	31	45	6	0.906	4.02	4891	10	4	328	3508	2	4	0.750	8	82	72	10	7

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Average	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Angus Booth	Wranglers (CGY)	D	21	2004-04-27	Yes	177 Lbs	6 ft0	No	No	No	3	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Brett Harrison	Wranglers (CGY)	LW	22	2003-06-07	Yes	182 Lbs	6 ft2	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$		Link / NHL Link
Cam Dineen (1 Way Contract)	Wranglers (CGY)	D	27	1998-06-19	Yes	188 Lbs	5 ft11	No	No	No	1	Pro & Farm	850,000$	850,000$	850,000$	0$	No			Link / NHL Link
Damian Clara	Wranglers (CGY)	G	20	2005-01-13	Yes	214 Lbs	6 ft6	No	No	No	3	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Danil Zhilkin	Wranglers (CGY)	C	21	2003-12-19	Yes	192 Lbs	6 ft1	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$		Link / NHL Link
David Jiricek	Wranglers (CGY)	D	21	2003-11-28	No	204 Lbs	6 ft4	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	0$	No			Link / NHL Link
Elliot Desnoyers	Wranglers (CGY)	LW	23	2002-01-21	Yes	183 Lbs	5 ft11	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	0$	No			Link / NHL Link
Ethan Keppen	Wranglers (CGY)	LW	24	2001-03-20	Yes	212 Lbs	6 ft2	No	No	No	3	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Garrett Wilson	Wranglers (CGY)	LW/RW	34	1991-03-16	No	218 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Gustav Olofsson (1 Way Contract)	Wranglers (CGY)	D	30	1994-12-01	No	199 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,100,000$	1,100,000$	1,100,000$	0$	No			Link / NHL Link
Jakub Dvorak	Wranglers (CGY)	D	20	2005-05-25	Yes	203 Lbs	6 ft5	No	No	No	3	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Jan Mysak (Out of Payroll)	Wranglers (CGY)	C	23	2002-06-04	Yes	175 Lbs	5 ft11	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	0$	Yes			Link / NHL Link
Jeff Malott	Wranglers (CGY)	LW	29	1996-08-07	No	208 Lbs	6 ft5	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Kirill Kudryavtsev	Wranglers (CGY)	D	21	2004-02-05	Yes	200 Lbs	5 ft11	No	No	No	3	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Magnus Chrona	Wranglers (CGY)	G	25	2000-08-28	Yes	194 Lbs	6 ft4	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$		Link / NHL Link
Matt Tomkins	Wranglers (CGY)	G	31	1994-06-19	No	191 Lbs	6 ft4	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$		Link / NHL Link
Max Lajoie	Wranglers (CGY)	D	27	1997-11-05	No	191 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Mike Vecchione	Wranglers (CGY)	C/RW	32	1993-02-25	No	193 Lbs	5 ft10	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Owen Pickering	Wranglers (CGY)	D	21	2004-01-27	Yes	200 Lbs	6 ft5	No	No	No	3	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Ross Johnston	Wranglers (CGY)	LW	31	1994-02-18	No	232 Lbs	6 ft5	No	No	No	1	Pro & Farm	920,100$	920,100$	0$	0$	No			Link / NHL Link
Ryan Ufko	Wranglers (CGY)	D	22	2003-05-07	Yes	174 Lbs	6 ft0	No	No	No	3	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Samu Tuomaala	Wranglers (CGY)	RW	22	2003-01-08	Yes	174 Lbs	5 ft11	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$		Link / NHL Link
Samuel Honzek	Wranglers (CGY)	LW	20	2004-11-12	Yes	186 Lbs	6 ft4	No	No	No	3	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Spencer Martin	Wranglers (CGY)	G	30	1995-06-08	No	191 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	3,000,000$	3,000,000$	0$	0$	No	3,000,000$		Link / NHL Link
Travis Barron	Wranglers (CGY)	LW	26	1998-11-17	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Trevor Kuntar	Wranglers (CGY)	C	24	2001-06-20	Yes	205 Lbs	6 ft0	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$		Link / NHL Link
William Dufour	Wranglers (CGY)	RW	23	2002-01-28	Yes	215 Lbs	6 ft2	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	0$	No			Link / NHL Link
Xavier Bourgault	Wranglers (CGY)	RW	22	2002-10-22	Yes	172 Lbs	6 ft0	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	0$	No			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
28	24.71	196 Lbs	6 ft2	1.82	988,218$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3	Travis Barron		Samu Tuomaala	20	1	2	2
4			Garrett Wilson	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

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

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

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

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

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

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

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
Travis Barron, Samu Tuomaala, Garrett Wilson	Travis Barron, Samu Tuomaala	Garrett Wilson

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , , Travis Barron

Goalie
#1 : Matt Tomkins, #2 :

Custom OT Lines Forwards
, , , , Travis Barron, , , , , Samu Tuomaala, Garrett Wilson

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Admirals	3	1	2	0	0	0	0	0	6	12	-6	1	1	0	0	0	0	0	0	3	1	2	2	0	2	0	0	0	0	0	3	11	-8	2	0.333	6	9	15	0	0	109	83	88	1	91	1031	1021	1061	23	109	30	22	78	9	1	11.11%	11	3	72.73%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
2	Americans	2	1	1	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	3	0	3	2	0.500	5	8	13	0	1	109	83	88	1	50	1031	1021	1061	23	73	27	17	50	4	1	25.00%	6	0	100.00%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
3	Barracuda	4	0	4	0	0	0	0	0	8	20	-12	2	0	2	0	0	0	0	0	4	12	-8	2	0	2	0	0	0	0	0	4	8	-4	0	0.000	8	14	22	0	0	109	83	88	1	121	1031	1021	1061	23	192	51	35	105	15	2	13.33%	15	3	80.00%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
4	Bears	2	0	2	0	0	0	0	0	7	10	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	7	12	19	0	0	109	83	88	1	84	1031	1021	1061	23	89	24	6	52	4	1	25.00%	3	1	66.67%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
5	Bruins	2	0	1	0	0	1	0	0	6	14	-8	1	0	1	0	0	0	0	0	2	9	-7	1	0	0	0	0	1	0	0	4	5	-1	1	0.250	6	10	16	0	0	109	83	88	1	69	1031	1021	1061	23	89	24	18	49	2	0	0.00%	8	4	50.00%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
6	Checkers	2	2	0	0	0	0	0	0	12	6	6	1	1	0	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	4	0	4	4	1.000	12	21	33	0	1	109	83	88	1	114	1031	1021	1061	23	97	21	19	68	5	1	20.00%	2	0	100.00%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
7	Comets	3	2	1	0	0	0	0	0	13	10	3	1	0	1	0	0	0	0	0	4	6	-2	2	2	0	0	0	0	0	0	9	4	5	4	0.667	13	25	38	1	0	109	83	88	1	106	1031	1021	1061	23	124	41	12	97	10	0	0.00%	6	0	100.00%	1	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
8	Condors	4	1	3	0	0	0	0	0	9	16	-7	2	1	1	0	0	0	0	0	5	8	-3	2	0	2	0	0	0	0	0	4	8	-4	2	0.250	9	17	26	0	0	109	83	88	1	132	1031	1021	1061	23	170	51	40	125	7	3	42.86%	18	4	77.78%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
9	Crunch	2	0	2	0	0	0	0	0	7	10	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	7	14	21	0	0	109	83	88	1	74	1031	1021	1061	23	93	28	12	43	11	0	0.00%	5	2	60.00%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
10	Devils	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	8	15	23	0	0	109	83	88	1	72	1031	1021	1061	23	87	18	16	60	6	2	33.33%	3	0	100.00%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
11	Eagles	3	1	2	0	0	0	0	0	9	10	-1	1	0	1	0	0	0	0	0	0	5	-5	2	1	1	0	0	0	0	0	9	5	4	2	0.333	9	16	25	0	1	109	83	88	1	119	1031	1021	1061	23	148	54	14	77	12	3	25.00%	5	1	80.00%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
12	Firebirds	3	2	0	0	0	0	0	1	10	6	4	2	1	0	0	0	0	0	1	8	6	2	1	1	0	0	0	0	0	0	2	0	2	5	0.833	10	17	27	0	1	109	83	88	1	124	1031	1021	1061	23	107	35	11	90	5	0	0.00%	3	1	66.67%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
13	Griffins	2	2	0	0	0	0	0	0	16	9	7	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	10	6	4	4	1.000	16	29	45	0	0	109	83	88	1	120	1031	1021	1061	23	106	24	10	67	3	1	33.33%	5	1	80.00%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
14	Gulls	4	3	1	0	0	0	0	0	18	14	4	2	1	1	0	0	0	0	0	10	9	1	2	2	0	0	0	0	0	0	8	5	3	6	0.750	18	33	51	1	0	109	83	88	1	214	1031	1021	1061	23	177	59	14	115	16	1	6.25%	6	1	83.33%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
15	IceHogs	3	1	2	0	0	0	0	0	8	14	-6	1	1	0	0	0	0	0	0	4	3	1	2	0	2	0	0	0	0	0	4	11	-7	2	0.333	8	16	24	0	0	109	83	88	1	89	1031	1021	1061	23	106	24	16	76	14	1	7.14%	8	0	100.00%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
16	Marlies	2	0	2	0	0	0	0	0	5	11	-6	1	0	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	5	10	15	0	0	109	83	88	1	70	1031	1021	1061	23	105	37	22	64	4	1	25.00%	11	3	72.73%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
17	Monsters	2	1	0	0	0	1	0	0	6	3	3	1	0	0	0	0	1	0	0	1	2	-1	1	1	0	0	0	0	0	0	5	1	4	3	0.750	6	9	15	0	0	109	83	88	1	68	1031	1021	1061	23	70	22	16	35	5	1	20.00%	7	1	85.71%	1	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
18	Moose	3	2	1	0	0	0	0	0	11	10	1	2	1	1	0	0	0	0	0	8	8	0	1	1	0	0	0	0	0	0	3	2	1	4	0.667	11	22	33	0	0	109	83	88	1	80	1031	1021	1061	23	104	31	29	88	6	2	33.33%	12	2	83.33%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
19	Penguins	2	0	2	0	0	0	0	0	3	14	-11	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	3	5	8	0	0	109	83	88	1	70	1031	1021	1061	23	127	38	18	67	7	1	14.29%	8	4	50.00%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
20	Phantoms	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	8	14	22	0	0	109	83	88	1	55	1031	1021	1061	23	75	20	18	64	4	1	25.00%	9	2	77.78%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
21	Reign	4	1	3	0	0	0	0	0	16	24	-8	2	0	2	0	0	0	0	0	5	14	-9	2	1	1	0	0	0	0	0	11	10	1	2	0.250	16	28	44	0	0	109	83	88	1	142	1031	1021	1061	23	165	57	22	105	10	4	40.00%	11	1	90.91%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
22	Roadrunners	3	1	2	0	0	0	0	0	10	10	0	2	1	1	0	0	0	0	0	8	6	2	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	10	18	28	1	0	109	83	88	1	92	1031	1021	1061	23	126	44	19	95	7	2	28.57%	7	2	71.43%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
23	Rocket	2	1	1	0	0	0	0	0	9	8	1	1	0	1	0	0	0	0	0	3	6	-3	1	1	0	0	0	0	0	0	6	2	4	2	0.500	9	14	23	0	0	109	83	88	1	102	1031	1021	1061	23	78	18	14	49	1	0	0.00%	7	0	100.00%	1	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
24	Senators	2	1	1	0	0	0	0	0	9	9	0	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	5	4	1	2	0.500	9	16	25	0	0	109	83	88	1	58	1031	1021	1061	23	84	28	24	50	6	2	33.33%	12	3	75.00%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
25	Silver Knights	4	3	1	0	0	0	0	0	24	15	9	2	2	0	0	0	0	0	0	13	7	6	2	1	1	0	0	0	0	0	11	8	3	6	0.750	24	43	67	0	0	109	83	88	1	263	1031	1021	1061	23	180	54	18	124	9	4	44.44%	8	2	75.00%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
26	Sound Tigers	2	0	1	0	0	1	0	0	8	11	-3	1	0	0	0	0	1	0	0	3	4	-1	1	0	1	0	0	0	0	0	5	7	-2	1	0.250	8	15	23	1	0	109	83	88	1	77	1031	1021	1061	23	113	22	15	59	3	0	0.00%	5	1	80.00%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
27	Stars	3	0	1	0	1	1	0	0	8	10	-2	2	0	1	0	0	1	0	0	5	8	-3	1	0	0	0	1	0	0	0	3	2	1	3	0.500	8	16	24	0	0	109	83	88	1	104	1031	1021	1061	23	127	27	16	90	7	1	14.29%	8	0	100.00%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
28	Thunderbirds	3	1	2	0	0	0	0	0	10	16	-6	2	0	2	0	0	0	0	0	4	13	-9	1	1	0	0	0	0	0	0	6	3	3	2	0.333	10	20	30	0	0	109	83	88	1	140	1031	1021	1061	23	121	46	21	93	9	2	22.22%	8	1	87.50%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
29	Wild	3	1	1	0	0	0	0	1	4	6	-2	1	0	0	0	0	0	0	1	1	2	-1	2	1	1	0	0	0	0	0	3	4	-1	3	0.500	4	8	12	0	0	109	83	88	1	91	1031	1021	1061	23	126	38	24	75	8	1	12.50%	10	2	80.00%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
30	Wolf Pack	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	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	109	83	88	1	69	1031	1021	1061	23	91	33	26	36	5	2	40.00%	12	2	83.33%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
31	Wolves	2	0	2	0	0	0	0	0	4	12	-8	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	4	7	11	0	0	109	83	88	1	68	1031	1021	1061	23	79	33	16	49	5	2	40.00%	7	3	57.14%	0	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
	Total	82	30	45	0	1	4	0	2	281	337	-56	41	13	23	0	0	3	0	2	138	186	-48	41	17	22	0	1	1	0	0	143	151	-8	68	0.415	281	509	790	4	4	109	83	88	1	3128	1031	1021	1061	23	3538	1059	580	2295	219	43	19.63%	246	50	79.67%	3	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
	_Since Last GM Reset	82	30	45	0	1	4	0	2	281	337	-56	41	13	23	0	0	3	0	2	138	186	-48	41	17	22	0	1	1	0	0	143	151	-8	68	0.415	281	509	790	4	4	109	83	88	1	3128	1031	1021	1061	23	3538	1059	580	2295	219	43	19.63%	246	50	79.67%	3	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
	_Vs Conference	50	20	26	0	1	1	0	2	164	193	-29	25	9	13	0	0	1	0	2	82	108	-26	25	11	13	0	1	0	0	0	82	85	-3	45	0.450	164	302	466	3	2	109	83	88	1	1908	1031	1021	1061	23	2082	642	313	1433	144	27	18.75%	136	23	83.09%	1	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
	_Vs Division	26	12	13	0	0	0	0	1	98	105	-7	13	5	7	0	0	0	0	1	49	62	-13	13	7	6	0	0	0	0	0	49	43	6	25	0.481	98	177	275	2	1	109	83	88	1	1102	1031	1021	1061	23	1115	348	152	761	72	14	19.44%	67	12	82.09%	1	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	68	L2	281	509	790	3128	3538	1059	580	2295	4	4

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	30	45	1	4	0	2	281	337

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	13	23	0	3	0	2	138	186

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	17	22	1	1	0	0	143	151

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
219	43	19.63%	246	50	79.67%	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
1031	1021	1061	23	109	83	88	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1772	1215	2150	602	1017	481

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2 - 2025-10-08	6	Wranglers	2	Condors	3	AL			BoxScore
3 - 2025-10-09	19	Wranglers	5	Comets	2	AW			BoxScore
5 - 2025-10-11	23	Thunderbirds	6	Wranglers	2	BL			BoxScore
8 - 2025-10-14	53	Silver Knights	3	Wranglers	7	BW			BoxScore
9 - 2025-10-15	60	Wranglers	2	Roadrunners	4	AL			BoxScore
12 - 2025-10-18	87	Wranglers	8	Silver Knights	4	AW			BoxScore
14 - 2025-10-20	96	Moose	3	Wranglers	6	BW			BoxScore
16 - 2025-10-22	110	Rocket	6	Wranglers	3	BL			BoxScore
18 - 2025-10-24	126	Wranglers	3	Moose	2	AW			BoxScore
20 - 2025-10-26	146	Wolf Pack	5	Wranglers	2	BL			BoxScore
22 - 2025-10-28	151	Wranglers	1	Marlies	4	AL			BoxScore
24 - 2025-10-30	168	Wranglers	5	Senators	4	AW			BoxScore
26 - 2025-11-01	183	Wranglers	1	Admirals	4	AL			BoxScore
27 - 2025-11-02	196	Wranglers	2	Phantoms	4	AL			BoxScore
30 - 2025-11-05	215	Monsters	2	Wranglers	1	BL	X		BoxScore
32 - 2025-11-07	229	IceHogs	3	Wranglers	4	BW			BoxScore
34 - 2025-11-09	249	Wranglers	2	Wild	1	AW			BoxScore
36 - 2025-11-11	260	Wranglers	6	Thunderbirds	3	AW			BoxScore
38 - 2025-11-13	276	Barracuda	4	Wranglers	2	BL			BoxScore
40 - 2025-11-15	294	Moose	5	Wranglers	2	BL			BoxScore
43 - 2025-11-18	312	Wranglers	1	IceHogs	4	AL			BoxScore
44 - 2025-11-19	316	Wranglers	3	Americans	0	AW			BoxScore
47 - 2025-11-22	345	Stars	5	Wranglers	3	BL			BoxScore
48 - 2025-11-23	352	Wranglers	4	Comets	2	AW			BoxScore
51 - 2025-11-26	362	Wranglers	4	Crunch	5	AL			BoxScore
53 - 2025-11-28	380	Wranglers	4	Checkers	0	AW			BoxScore
55 - 2025-11-30	404	Wranglers	2	Wolves	6	AL			BoxScore
57 - 2025-12-02	416	Wranglers	2	Admirals	7	AL			BoxScore
59 - 2025-12-04	433	Wild	2	Wranglers	1	BL	X	X	BoxScore
61 - 2025-12-06	448	Roadrunners	3	Wranglers	2	BL			BoxScore
63 - 2025-12-08	463	Americans	4	Wranglers	2	BL			BoxScore
65 - 2025-12-10	477	Griffins	3	Wranglers	6	BW			BoxScore
68 - 2025-12-13	507	Wranglers	6	Reign	3	AW			BoxScore
71 - 2025-12-16	527	Wranglers	2	Barracuda	3	AL			BoxScore
73 - 2025-12-18	542	Firebirds	1	Wranglers	4	BW			BoxScore
75 - 2025-12-20	559	Silver Knights	4	Wranglers	6	BW			BoxScore
78 - 2025-12-23	585	Wranglers	2	Condors	5	AL			BoxScore
82 - 2025-12-27	598	Condors	1	Wranglers	3	BW			BoxScore
84 - 2025-12-29	613	Bruins	9	Wranglers	2	BL			BoxScore
86 - 2025-12-31	630	Phantoms	3	Wranglers	6	BW			BoxScore
89 - 2026-01-03	654	Admirals	1	Wranglers	3	BW			BoxScore
91 - 2026-01-05	665	Firebirds	5	Wranglers	4	BL	X	X	BoxScore
93 - 2026-01-07	678	Wranglers	6	Rocket	2	AW			BoxScore
94 - 2026-01-08	682	Wranglers	4	Bruins	5	AL	X		BoxScore
96 - 2026-01-10	698	Wranglers	1	Penguins	7	AL			BoxScore
99 - 2026-01-13	728	Wranglers	5	Monsters	1	AW			BoxScore
101 - 2026-01-15	745	Wranglers	3	IceHogs	7	AL			BoxScore
103 - 2026-01-17	756	Sound Tigers	4	Wranglers	3	BL	X		BoxScore
105 - 2026-01-19	777	Devils	2	Wranglers	5	BW			BoxScore
107 - 2026-01-21	791	Penguins	7	Wranglers	2	BL			BoxScore
109 - 2026-01-23	806	Bears	4	Wranglers	3	BL			BoxScore
111 - 2026-01-25	824	Gulls	3	Wranglers	6	BW			BoxScore
115 - 2026-01-29	853	Wranglers	1	Wild	3	AL			BoxScore
117 - 2026-01-31	863	Barracuda	8	Wranglers	2	BL			BoxScore
119 - 2026-02-02	885	Marlies	7	Wranglers	4	BL			BoxScore
121 - 2026-02-04	900	Condors	7	Wranglers	2	BL			BoxScore
143 - 2026-02-26	928	Wranglers	2	Barracuda	5	AL			BoxScore
145 - 2026-02-28	944	Wranglers	5	Reign	7	AL			BoxScore
146 - 2026-03-01	952	Wranglers	5	Gulls	3	AW			BoxScore
148 - 2026-03-03	965	Stars	3	Wranglers	2	BL	X		BoxScore
150 - 2026-03-05	981	Senators	5	Wranglers	4	BL			BoxScore
152 - 2026-03-07	998	Wolves	6	Wranglers	2	BL			BoxScore
154 - 2026-03-09	1009	Wranglers	4	Bears	6	AL			BoxScore
155 - 2026-03-10	1017	Wranglers	2	Wolf Pack	4	AL			BoxScore
157 - 2026-03-12	1032	Wranglers	3	Devils	5	AL			BoxScore
159 - 2026-03-14	1051	Wranglers	5	Sound Tigers	7	AL			BoxScore
161 - 2026-03-16	1063	Wranglers	10	Griffins	6	AW			BoxScore
163 - 2026-03-18	1081	Thunderbirds	7	Wranglers	2	BL			BoxScore
165 - 2026-03-20	1097	Checkers	6	Wranglers	8	BW			BoxScore
167 - 2026-03-22	1116	Crunch	5	Wranglers	3	BL			BoxScore
169 - 2026-03-24	1132	Reign	6	Wranglers	3	BL			BoxScore
171 - 2026-03-26	1147	Gulls	6	Wranglers	4	BL			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-28	1165	Comets	6	Wranglers	4	BL			BoxScore
175 - 2026-03-30	1174	Wranglers	6	Eagles	0	AW			BoxScore
178 - 2026-04-02	1201	Wranglers	3	Silver Knights	4	AL			BoxScore
180 - 2026-04-04	1219	Wranglers	3	Gulls	2	AW			BoxScore
183 - 2026-04-07	1239	Wranglers	3	Stars	2	AW	X		BoxScore
185 - 2026-04-09	1256	Wranglers	3	Eagles	5	AL			BoxScore
187 - 2026-04-11	1273	Wranglers	2	Firebirds	0	AW			BoxScore
188 - 2026-04-12	1281	Roadrunners	3	Wranglers	6	BW			BoxScore
190 - 2026-04-14	1298	Eagles	5	Wranglers	0	BL			BoxScore
192 - 2026-04-16	1310	Reign	8	Wranglers	2	BL			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	25	15
Attendance	81,688	40,883
Attendance PCT	99.62%	99.71%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
-31	2990 - 99.65%	80,959$	3,319,306$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
3,396,070$	2,572,010$	2,477,010$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	2,392,501$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
-2,509,719$	0	18,604$	0$

Wranglers Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Mike Vecchione	122	46	53	99	19	14	48	206	387	11.89%	31	2363	19.38	7	13	20	74	0	1	1	4	7	4	49.23%	2	0.84	0	3
2	Jeff Malott	124	50	44	94	-29	83	470	305	506	9.88%	65	2802	22.60	9	12	21	74	0	1	1	15	11	5	51.19%	0	0.67	0	6
3	Max Lajoie	129	18	72	90	-14	86	345	191	203	8.87%	239	2918	22.63	8	17	25	89	1	0	1	2	1	1	25.00%	0	0.62	0	0
4	Zack Bolduc	82	28	57	85	21	4	22	224	294	9.52%	27	1517	18.51	8	12	20	55	0	1	1	2	3	1	48.79%	0	1.12	1	3
5	Samu Tuomaala	164	26	54	80	-9	20	104	209	314	8.28%	89	2173	13.25	0	0	0	0	0	0	0	0	2	3	47.97%	0	0.74	0	2

Wranglers Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Matt Tomkins	164	71	79	13	0.904	3.71	9346	12	5	578	6034	0	3	7	0.778	27
2	Magnus Chrona	13	0	1	0	0.938	2.38	505	0	0	20	321	0	0	0	0.000	0

Wranglers Career Team Stats

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
2024	82	31	35	0	7	5	2	2	284	275	9	41	16	17	0	5	1	1	1	148	136	12	41	15	18	0	2	4	1	1	136	139	-3	87	284	512	796	3	1	106	96	73	10	2820	920	957	910	52	2850	843	474	1939	258	53	20.54%	209	48	77.03%	5	1457	2944	49.49%	1545	3078	50.19%	675	1352	49.93%	1945	1346	1961	610	1060	528
2025	82	30	45	0	1	4	0	2	281	337	-56	41	13	23	0	0	3	0	2	138	186	-48	41	17	22	0	1	1	0	0	143	151	-8	68	281	509	790	4	4	109	83	88	1	3128	1031	1021	1061	23	3538	1059	580	2295	219	43	19.63%	246	50	79.67%	3	1341	3031	44.24%	1513	3503	43.19%	648	1401	46.25%	1772	1215	2150	602	1017	481
Total Regular Season	164	61	80	0	8	9	2	4	565	612	-47	82	29	40	0	5	4	1	3	286	322	-36	82	32	40	0	3	5	1	1	279	290	-11	155	565	1021	1586	7	5	215	179	161	11	5948	1951	1978	1971	75	6388	1902	1054	4234	477	96	20.13%	455	98	78.46%	8	2798	5975	46.83%	3058	6581	46.47%	1323	2753	48.06%	3717	2562	4112	1212	2077	1010

Wranglers Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Wranglers Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Wranglers
	GP: 82 \| W: 31 \| L: 45 \| OTL: 6 \| P: 68 GF: 281 \| GA: 337 \| PP%: 19.63% \| PK%: 79.67% GM : Philippe Gagné \| Morale : 75 \| Team Overall : 62