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

Game Center
	Wranglers 10-8-0, 20pts	6	FINAL	0	Wild 16-9-0, 32pts

Team Stats
L1	Streak	W3
2-6-0	Home Record	7-6-0
8-2-0	Away Record	9-3-0
4-6-0	Last 10 Games	6-4-0
3.17	Goals Per Game	2.64
2.94	Goals Against Per Game	2.28
20.00%	Power Play Percentage	16.90%
85.45%	Penalty Kill Percentage	88.00%

Wild
16-9-0, 32pts

FINAL

Wranglers
10-8-0, 20pts

Team Stats
W3	Streak	L1
7-6-0	Home Record	2-6-0
9-3-0	Away Record	8-2-0
6-4-0	Last 10 Games	4-6-0
2.64	Goals Per Game	3.17
2.28	Goals Against Per Game	2.94
16.90%	Power Play Percentage	20.00%
88.00%	Penalty Kill Percentage	85.45%

Team Leaders
	Goals Tye Kartye 10	Assists Jordan Harris 12

	Points Jordan Harris 17	Plus/Minus Alec Regula 7

	Wins Kevin Mandolese 10	Save Percentage Kevin Mandolese 0.864

Team Stats
Goals For 57 3.17 GFG	Shots For 374 20.78 Avg	Power Play Percentage 20.0% 21 GF	Offensive Zone Start 42.0%
Goals Against 53 2.94 GAA	Shots Against 379 21.06 Avg	Penalty Kill Percentage 85.5%% 16 GA	Defensive Zone Start 36.7%

Team Info
	General Manager	Alex
	Coach	Martin Gelinas
	Division	Pacific Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,313
	Season Tickets	0
Roster Info
	Pro Team	18
	Farm Team	18
	Contract Limit	36 / 51
	Prospects	45
Team History
	This Season	10-8
	History	102-39-8 (0.685%)
	Playoff Appearances	2
	Playoff Record (W-L)	21-18
	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
1	Tye Kartye (R)	X	X			100.00	95	56	85	75	72	61	91	63	44	61	66	64	25	54	55	68	50	65	0	24	2	925,000$
2	Zachary Bolduc (R)		X			100.00	65	41	91	76	65	62	74	69	44	63	72	69	25	46	46	71	50	64	0	22	3	1,275,833$
3	Linus Karlsson			X		100.00	72	66	86	66	66	79	83	67	50	65	65	64	62	44	44	67	50	63	0	25	3	925,000$
4	Reese Johnson	X		X		100.00	91	99	74	65	73	57	67	66	56	57	57	76	25	59	59	64	50	63	0	26	1	800,000$
5	Mike Hardman		X	X		100.00	80	76	88	65	76	75	79	60	50	51	65	66	62	44	44	66	50	62	0	26	1	800,000$
6	David Gustafsson	X	X			100.00	71	43	99	68	73	54	63	65	74	60	58	75	25	57	58	64	50	62	0	25	2	900,000$
7	Rasmus Asplund	X	X			100.00	75	69	89	61	69	70	73	61	76	62	53	68	50	61	61	62	50	62	0	27	1	900,000$
8	Benoit-Olivier Groulx	X				100.00	87	45	85	69	73	62	71	64	65	54	55	78	25	51	51	64	50	62	0	25	1	910,833$
9	Brandon Biro		X			100.00	68	60	85	66	60	71	73	64	50	62	62	61	59	44	44	64	50	61	0	27	3	800,000$
10	Jonah Gadjovich			X		100.00	86	99	35	74	78	48	59	63	25	55	57	63	25	58	58	61	50	60	0	26	2	900,000$
11	Damien Giroux	X				100.00	70	62	87	63	62	62	65	53	66	51	51	59	48	44	44	57	50	55	0	25	2	850,000$
12	Jordan Harris				X	100.00	65	41	88	70	67	72	78	62	25	54	48	83	25	59	59	62	50	66	0	24	1	1,137,500$
13	Wyatt Kaiser (R)				X	100.00	69	42	80	71	64	72	71	62	25	56	47	83	25	46	46	62	50	65	0	22	3	1,208,333$
14	Steven Santini				X	100.00	80	76	89	65	76	74	81	49	25	40	41	66	39	55	56	55	50	62	0	30	1	800,000$
15	Alec Regula				X	100.00	78	77	79	65	77	67	71	53	25	49	41	64	39	46	46	55	50	60	0	24	2	800,000$
16	Blake Hillman				X	100.00	76	68	96	65	68	58	61	47	25	37	41	61	39	44	44	53	50	56	0	29	3	800,000$
Scratches

	TEAM AVERAGE					100.00	77	64	84	68	70	65	73	61	45	55	55	69	37	51	51	62	50	62

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Jonas Johansson	100.00	62	57	56	84	65	58	69	63	65	62	75	51	51	63	50	63	0	29	2	1,000,000$
2	Kevin Mandolese	100.00	50	45	56	85	51	52	50	55	53	52	30	44	44	51	50	54	0	24	3	750,000$
Scratches

	TEAM AVERAGE	100.00	56	51	56	85	58	55	60	59	59	57	53	48	48	57	50	59

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Martin Gelinas	64	71	66	68	75	70	75	CAN	51	1	10$

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	HT	P/20	FW	FL	FT	S1	S2	S3
1	Jordan Harris	Wranglers (CGY)	D	18	5	12	17	-3	8	0	33	30	34	8	18	14.71%	19	369	20.55	4	6	10	27	79	0	1	1	1	97	2	0	0.00%	0	0	0.92	0	0	0	2	1	0
2	Zachary Bolduc	Wranglers (CGY)	LW	18	8	8	16	0	0	0	3	37	48	11	44	16.67%	3	296	16.47	5	4	9	17	79	0	0	0	0	3	3	0	35.00%	20	0	1.08	0	0	0	2	1	2
3	Benoit-Olivier Groulx	Wranglers (CGY)	C	18	4	12	16	4	8	0	23	42	37	6	23	10.81%	5	356	19.80	2	3	5	18	75	0	1	1	0	65	0	0	41.27%	315	0	0.90	0	0	0	0	2	0
4	David Gustafsson	Wranglers (CGY)	C/LW	18	5	10	15	0	6	0	1	32	18	8	24	27.78%	3	376	20.92	3	5	8	7	77	0	0	0	0	86	0	0	51.50%	466	0	0.80	0	0	0	0	1	1
5	Linus Karlsson	Wranglers (CGY)	RW	18	3	12	15	4	2	0	2	18	32	14	27	9.38%	3	351	19.52	2	6	8	8	81	1	0	1	1	56	2	0	31.75%	63	0	0.85	0	0	0	0	0	2
6	Tye Kartye	Wranglers (CGY)	C/LW	18	10	5	15	3	20	0	41	24	40	7	25	25.00%	3	288	16.03	1	4	5	13	76	0	0	0	0	0	0	1	17.65%	17	1	1.04	0	0	0	2	0	2
7	Wyatt Kaiser	Wranglers (CGY)	D	18	4	10	14	-4	23	5	15	17	24	6	14	16.67%	18	354	19.72	3	6	9	19	78	0	0	0	0	54	0	0	0.00%	0	0	0.79	0	0	0	1	1	1
8	Reese Johnson	Wranglers (CGY)	C/RW	18	2	7	9	-1	25	5	50	22	39	11	21	5.13%	4	360	20.04	1	3	4	13	77	0	0	0	1	84	1	0	30.77%	26	0	0.50	0	1	0	0	1	0
9	Brandon Biro	Wranglers (CGY)	LW	18	5	4	9	-7	4	0	7	39	23	6	18	21.74%	5	295	16.43	0	0	0	2	9	0	0	0	0	0	1	0	41.61%	161	0	0.61	0	0	0	0	0	0
10	Alec Regula	Wranglers (CGY)	D	18	2	7	9	7	45	5	38	8	3	1	2	66.67%	13	251	13.96	0	0	0	0	0	0	0	0	0	31	0	0	0.00%	0	0	0.72	1	0	0	0	0	1
11	Mike Hardman	Wranglers (CGY)	LW/RW	18	4	4	8	-1	21	5	16	26	42	10	19	9.52%	4	238	13.26	0	0	0	1	14	1	0	1	1	34	1	0	56.25%	32	0	0.67	0	0	1	0	1	0
12	Rasmus Asplund	Wranglers (CGY)	C/LW	18	3	4	7	-3	13	5	14	15	14	5	7	21.43%	2	187	10.43	0	0	0	0	0	0	0	0	0	5	0	0	50.00%	14	0	0.75	1	0	0	0	0	0
13	Jonah Gadjovich	Wranglers (CGY)	RW	18	2	5	7	-2	17	5	18	11	17	5	12	11.76%	2	170	9.48	0	0	0	0	4	0	1	1	1	34	0	0	34.78%	23	0	0.82	0	0	1	1	0	0
14	Steven Santini	Wranglers (CGY)	D	18	0	3	3	-6	30	0	42	2	1	0	2	0.00%	11	251	13.94	0	0	0	0	6	0	0	0	0	13	0	0	0.00%	0	0	0.24	0	0	0	0	0	0
15	Blake Hillman	Wranglers (CGY)	D	18	0	3	3	-4	44	0	32	4	2	0	3	0.00%	6	321	17.85	0	0	0	0	0	0	1	1	0	55	0	0	0.00%	0	0	0.19	0	0	0	0	0	0
Team Total or Average				270	57	106	163	-13	266	30	335	327	374	98	259	15.24%	101	4471	16.56	21	37	58	125	661	2	4	6	5	625	10	1	44.68%	1137	1	0.73	2	1	2	8	8	9

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	PCT	GAA	MP	SO	GA	SA	A	PS %	ST	BG	S1
1	Kevin Mandolese	Wranglers (CGY)	18	10	7	0.864	2.75	982	2	45	330	0	0.00%	18	0	1
2	Jonas Johansson	Wranglers (CGY)	5	0	1	0.837	4.62	104	0	8	49	1	0.00%	0	18	0
Team Total or Average			23	10	8	0.860	2.93	1087	2	53	379	1		18	18	1

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Alec Regula	Wranglers (CGY)	D	24	2000-08-05	No	203 Lbs	6 ft4	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$		Link
Benoit-Olivier Groulx	Wranglers (CGY)	C	25	2000-02-05	No	198 Lbs	6 ft2	No	No	No	1	Pro & Farm	910,833$	0$	0$	No			Link
Blake Hillman	Wranglers (CGY)	D	29	1996-01-26	No	181 Lbs	6 ft1	No	No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	Link / NHL Link
Brandon Biro	Wranglers (CGY)	LW	27	1998-03-10	No	161 Lbs	5 ft11	No	No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	Link
Damien Giroux	Wranglers (CGY)	C	25	2000-03-03	No	177 Lbs	5 ft9	No	No	No	2	Pro & Farm	850,000$	0$	0$	No	850,000$		Link
David Gustafsson	Wranglers (CGY)	C/LW	25	2000-04-11	No	196 Lbs	6 ft2	No	No	No	2	Pro & Farm	900,000$	0$	0$	No	900,000$		Link / NHL Link
Jonah Gadjovich	Wranglers (CGY)	RW	26	1998-10-12	No	200 Lbs	6 ft2	No	No	No	2	Pro & Farm	900,000$	0$	0$	No	900,000$		Link / NHL Link
Jonas Johansson	Wranglers (CGY)	G	29	1995-09-18	No	205 Lbs	6 ft4	No	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$		Link / NHL Link
Jordan Harris	Wranglers (CGY)	D	24	2000-07-07	No	189 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,137,500$	0$	0$	No			Link
Kevin Mandolese	Wranglers (CGY)	G	24	2000-08-22	No	200 Lbs	6 ft5	Yes	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	Link
Linus Karlsson	Wranglers (CGY)	RW	25	1999-11-16	No	178 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Link
Mike Hardman	Wranglers (CGY)	LW/RW	26	1999-02-05	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Link
Rasmus Asplund	Wranglers (CGY)	C/LW	27	1997-12-03	No	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	900,000$	0$	0$	No			Link / NHL Link
Reese Johnson	Wranglers (CGY)	C/RW	26	1998-07-10	No	191 Lbs	6 ft1	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Link / NHL Link
Steven Santini	Wranglers (CGY)	D	30	1995-03-07	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Link / NHL Link
Tye Kartye	Wranglers (CGY)	C/LW	24	2001-04-30	Yes	202 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Link
Wyatt Kaiser	Wranglers (CGY)	D	22	2002-07-31	Yes	172 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,208,333$	0$	0$	No	1,208,333$	1,208,333$	Link
Zachary Bolduc	Wranglers (CGY)	LW	22	2003-02-24	Yes	174 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,275,833$	0$	0$	No	1,275,833$	1,275,833$	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
18	25.56	190 Lbs	6 ft1	2.00	915,694$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Zachary Bolduc	David Gustafsson	Reese Johnson	40	1	2	2
2	Tye Kartye	Benoit-Olivier Groulx	Linus Karlsson	30	1	2	2
3	Mike Hardman	Brandon Biro	Rasmus Asplund	20	1	2	2
4	Brandon Biro		Jonah Gadjovich	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Blake Hillman	Jordan Harris	40	1	2	2
2	Steven Santini	Wyatt Kaiser	30	1	2	2
3		Alec Regula	20	1	2	2
4	Blake Hillman		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Zachary Bolduc	David Gustafsson	Reese Johnson	60	1	2	2
2	Tye Kartye	Benoit-Olivier Groulx	Linus Karlsson	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Jordan Harris	60	1	2	2
2		Wyatt Kaiser	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	David Gustafsson	Reese Johnson	60	1	2	2
2	Linus Karlsson	Benoit-Olivier Groulx	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Jordan Harris	60	1	2	2
2	Blake Hillman	Wyatt Kaiser	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	David Gustafsson	60	1	2	2		Jordan Harris	60	1	2	2
2	Reese Johnson	40	1	2	2	Blake Hillman	Wyatt Kaiser	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	David Gustafsson	Zachary Bolduc	60	1	2	2
2	Linus Karlsson	Benoit-Olivier Groulx	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Jordan Harris	60	1	2	2
2		Wyatt Kaiser	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Tye Kartye	David Gustafsson	Zachary Bolduc	Alec Regula	Jordan Harris

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Rasmus Asplund	David Gustafsson	Reese Johnson	Alec Regula	Jordan Harris

Extra Forwards
Normal	PowerPlay	Penalty Kill
Mike Hardman, David Gustafsson, Jonah Gadjovich	Mike Hardman, Brandon Biro	Jonah Gadjovich

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Steven Santini, Alec Regula, Blake Hillman	Steven Santini	Alec Regula, Blake Hillman

Penalty Shots
, Reese Johnson, Linus Karlsson, Benoit-Olivier Groulx, Rasmus Asplund

Goalie
#1 : Kevin Mandolese, #2 : Jonas Johansson

Custom OT Lines Forwards
Zachary Bolduc, Reese Johnson, Linus Karlsson, Benoit-Olivier Groulx, Rasmus Asplund, , , Mike Hardman, Brandon Biro, , Jonah Gadjovich

Custom OT Lines Defensemen
, Jordan Harris, , Wyatt Kaiser, Steven Santini

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	Condors	7	4	3	0	0	0	0	0	23	22	1	3	1	2	0	0	0	0	0	10	15	-5	4	3	1	0	0	0	0	0	13	7	6	8	0.571	23	42	65	0	1	20	18	18	1	159	122	136	113	3	180	44	102	136	32	7	21.88%	47	6	87.23%	1	233	524	44.47%	179	458	39.08%	110	265	41.51%	440	308	435	130	212	105
2	Reign	5	4	1	0	0	0	0	0	15	10	5	2	1	1	0	0	0	0	0	5	6	-1	3	3	0	0	0	0	0	0	10	4	6	8	0.800	15	28	43	0	0	20	18	18	1	109	122	136	113	3	82	27	54	92	34	7	20.59%	24	2	91.67%	0	233	524	44.47%	179	458	39.08%	110	265	41.51%	440	308	435	130	212	105
3	Wild	6	2	4	0	0	0	0	0	19	21	-2	3	0	3	0	0	0	0	0	5	12	-7	3	2	1	0	0	0	0	0	14	9	5	4	0.333	19	37	56	0	1	20	18	18	1	106	122	136	113	3	117	31	112	108	39	7	17.95%	39	8	79.49%	1	233	524	44.47%	179	458	39.08%	110	265	41.51%	440	308	435	130	212	105
	Total	18	10	8	0	0	0	0	0	57	53	4	8	2	6	0	0	0	0	0	20	33	-13	10	8	2	0	0	0	0	0	37	20	17	20	0.556	57	107	164	0	2	20	18	18	1	374	122	136	113	3	379	102	268	336	105	21	20.00%	110	16	85.45%	2	233	524	44.47%	179	458	39.08%	110	265	41.51%	440	308	435	130	212	105
	_Since Last GM Reset	18	10	8	0	0	0	0	0	57	53	4	8	2	6	0	0	0	0	0	20	33	-13	10	8	2	0	0	0	0	0	37	20	17	20	0.556	57	107	164	0	2	20	18	18	1	374	122	136	113	3	379	102	268	336	105	21	20.00%	110	16	85.45%	2	233	524	44.47%	179	458	39.08%	110	265	41.51%	440	308	435	130	212	105
	_Vs Conference	18	10	8	0	0	0	0	0	57	53	4	8	2	6	0	0	0	0	0	20	33	-13	10	8	2	0	0	0	0	0	37	20	17	20	0.556	57	107	164	0	2	20	18	18	1	374	122	136	113	3	379	102	268	336	105	21	20.00%	110	16	85.45%	2	233	524	44.47%	179	458	39.08%	110	265	41.51%	440	308	435	130	212	105

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
18	20	L1	57	107	164	374	379	102	268	336	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	10	8	0	0	0	0	57	53

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	2	6	0	0	0	0	20	33

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	8	2	0	0	0	0	37	20

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	6	1	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
105	21	20.00%	110	16	85.45%	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
122	136	113	3	20	18	18	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
233	524	44.47%	179	458	39.08%	110	265	41.51%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
440	308	435	130	212	105

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	Link
2 - 2024-10-19	8	Wranglers	4	Reign	1	AW		BoxScore
4 - 2024-10-21	16	Wranglers	3	Reign	1	AW		BoxScore
6 - 2024-10-23	24	Reign	3	Wranglers	1	BL		BoxScore
8 - 2024-10-25	32	Reign	3	Wranglers	4	BW		BoxScore
10 - 2024-10-27	40	Wranglers	3	Reign	2	AW		BoxScore
16 - 2024-11-02	60	Wranglers	3	Condors	0	AW		BoxScore
18 - 2024-11-04	64	Wranglers	6	Condors	2	AW		BoxScore
20 - 2024-11-06	68	Condors	7	Wranglers	4	BL		BoxScore
22 - 2024-11-08	72	Condors	2	Wranglers	3	BW	X	BoxScore
24 - 2024-11-10	76	Wranglers	2	Condors	4	AL		BoxScore
26 - 2024-11-12	80	Condors	6	Wranglers	3	BL		BoxScore
28 - 2024-11-14	84	Wranglers	2	Condors	1	AW		BoxScore
30 - 2024-11-16	86	Wranglers	4	Wild	2	AW		BoxScore
32 - 2024-11-18	88	Wranglers	4	Wild	7	AL		BoxScore
34 - 2024-11-20	90	Wild	6	Wranglers	1	BL		BoxScore
36 - 2024-11-22	92	Wild	4	Wranglers	3	BL		BoxScore
38 - 2024-11-24	94	Wranglers	6	Wild	0	AW		BoxScore
40 - 2024-11-26	96	Wild	2	Wranglers	1	BL		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	100	0
Attendance	10,504	8,000
Attendance PCT	65.65%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
33	2313 - 77.10%	131,300$	1,050,400$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,648,249$	1,648,249$	0$

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

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

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	Brandon Biro	154	73	97	170	108	36	50	218	449	16.26%	14	2598	16.87	5	10	15	38	1	0	1	1	14	1	57.52	1	1.31	2	3
2	Benoit-Olivier Groulx	154	71	95	166	97	132	209	307	504	14.09%	28	2695	17.50	5	23	28	57	1	2	3	12	9	0	64.82	5	1.23	0	3
3	Reese Johnson	154	75	75	150	82	294	554	185	494	15.18%	25	2957	19.21	14	16	30	88	3	0	3	10	10	1	63.80	1	1.01	1	6
4	Jordan Harris	154	24	115	139	62	101	171	179	238	10.08%	179	3395	22.05	13	31	44	164	1	2	3	7	4	2	0.00%	0	0.82	0	0
5	Jonah Gadjovich	146	59	56	115	63	232	331	150	287	20.56%	22	1738	11.91	2	13	15	28	1	4	5	9	5	0	54.07	4	1.32	1	3

Wranglers Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Kevin Mandolese	68	44	16	7	0.857	2.44	3966	4	8	161	1123	4	1	0.875	16
2	Lukas Dostal	61	42	14	5	0.898	1.92	3631	4	8	116	1133	2	1	0.706	17
3	Jonas Johansson	21	11	3	1	0.917	1.57	992	0	4	26	312	0	0	0.571	7

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
2023	72	44	20	0	1	2	2	3	305	165	140	36	22	8	0	0	1	2	3	161	78	83	36	22	12	0	1	1	0	0	144	87	57	99	305	548	853	1	9	126	97	79	4	2083	682	688	700	30	1374	418	858	1454	308	45	14.61%	353	56	84.14%	5	1152	2060	55.92%	817	1663	49.13%	611	1105	55.29%	2115	1588	1424	443	811	442
2024	82	49	19	0	3	7	3	1	346	189	157	41	30	5	0	0	4	1	1	201	79	122	41	19	14	0	3	3	2	0	145	110	35	118	346	614	960	1	12	143	115	82	11	2305	773	760	760	36	1436	399	1037	1658	446	72	16.14%	437	60	86.27%	3	1330	2405	55.30%	901	1906	47.27%	683	1241	55.04%	2401	1795	1613	524	946	515
Total Regular Season	154	93	39	0	4	9	5	4	651	354	297	77	52	13	0	0	5	3	4	362	157	205	77	41	26	0	4	4	2	0	289	197	92	217	651	1162	1813	2	21	269	212	161	15	4388	1455	1448	1460	66	2810	817	1895	3112	754	117	15.52%	790	116	85.32%	8	2482	4465	55.59%	1718	3569	48.14%	1294	2346	55.16%	4516	3384	3038	967	1758	958
Playoff
2021	21	11	10	0	0	0	0	0	69	79	-10	9	7	2	0	0	0	0	0	38	27	11	12	4	8	0	0	0	0	0	31	52	-21	22	69	125	194	0	0	21	20	25	3	514	158	151	181	24	494	127	326	472	103	21	20.39%	147	24	83.67%	1	367	600	61.17%	291	558	52.15%	180	345	52.17%	547	391	505	146	254	130
2024	18	10	8	0	0	0	0	0	57	53	4	8	2	6	0	0	0	0	0	20	33	-13	10	8	2	0	0	0	0	0	37	20	17	20	57	107	164	0	2	20	18	18	1	374	122	136	113	3	379	102	268	336	105	21	20.00%	110	16	85.45%	2	233	524	44.47%	179	458	39.08%	110	265	41.51%	440	308	435	130	212	105
Total Playoff	39	21	18	0	0	0	0	0	126	132	-6	17	9	8	0	0	0	0	0	58	60	-2	22	12	10	0	0	0	0	0	68	72	-4	42	126	232	358	0	2	41	38	43	4	888	280	287	294	27	873	229	594	808	208	42	20.19%	257	40	84.44%	3	600	1124	53.38%	470	1016	46.26%	290	610	47.54%	987	700	941	276	467	235

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	PKP	PKS	GW	GT	FO%	HT	P/20
1	David Gustafsson	39	12	19	31	1	22	33	79	63	19.05%	5	802	20.56	4	7	11	17	1	1	2	1	1	57.30	0	0.77
2	Joel Kellman	21	15	15	30	4	17	18	33	86	17.44%	6	486	23.16	5	8	13	27	0	0	5	2	1	58.54	1	1.23
3	Brad Malone	21	9	12	21	3	21	31	35	60	15.00%	3	354	16.87	5	3	8	16	0	0	0	0	1	68.48	1	1.19
4	Reese Johnson	39	8	12	20	-14	35	68	55	82	9.76%	8	693	17.78	2	4	6	16	0	0	1	1	0	45.00	0	0.58
5	Mike Hardman	39	9	10	19	4	41	55	49	84	10.71%	9	524	13.46	0	0	0	3	1	1	2	2	0	52.17	0	0.72

Wranglers Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	A	PS %
1	Evan Cormier	21	11	8	2	0.838	3.67	1161	0	71	439	0	0.00%
2	Kevin Mandolese	18	10	7	0	0.864	2.75	982	2	45	330	0	0.00%
3	Jonas Johansson	5	0	1	0	0.837	4.62	104	0	8	49	1	0.00%

	Wranglers
	GP: 18 \| W: 10 \| L: 8 GF: 57 \| GA: 53 \| PP%: 20.00% \| PK%: 85.45% GM : Alex \| Morale : 50 \| Team Overall : 61