Ligue Hockey General Manager Québec

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Dominic Toninato	47	C	100.00	77	41	62	57	77	69	86	66	76	60	59	70	60	73	70	0	23	72	31	775,000$/1yrs
Brian Halonen	0	LW/RW	99.00	70	40	75	60	80	68	83	62	47	56	64	65	60	65	62	0	30	71	27	900,000$/1yrs
Lucas Condotta	0	LW	96.00	82	43	54	56	86	66	87	64	75	60	54	67	57	68	63	0	24	70	28	875,000$/3yrs
Cooper Gay	0	LW/RW	98.00	61	40	86	59	91	67	88	58	49	56	61	65	58	63	61	0	27	70	23	872,500$/2yrs
John Hayden	47	RW	100.00	81	45	52	55	89	69	70	53	76	54	56	70	54	77	72	0	27	69	30	775,000$/1yrs
Parker Ford	0	C/RW	96.00	71	39	72	58	68	66	78	61	66	56	59	64	58	63	60	0	27	69	25	875,000$/3yrs
Callahan Burke	0	RW	100.00	58	37	94	53	69	64	85	64	76	53	54	68	54	68	67	0	27	68	28	800,000$/1yrs
Aatu Jamsen (R)	0	LW/RW	100.00	65	39	82	56	71	63	80	59	43	54	56	62	55	59	57	0	27	67	23	852,500$/1yrs
Arnaud Durandeau	0	LW	100.00	63	39	85	52	75	62	70	62	37	54	50	66	52	64	63	0	27	66	27	800,000$/1yrs
Kalan Lind (R)	0	LW	100.00	92	41	50	57	66	63	79	53	50	55	56	61	56	57	52	0	25	66	21	806,666$/3yrs
Ben Jones	0	C	100.00	81	43	92	55	73	69	75	51	30	50	50	58	50	69	68	0	22	65	26	800,000$/2yrs
Kalle Vaisanen (R)	0	LW	100.00	55	38	99	53	81	60	70	59	45	50	52	62	51	57	57	0	27	65	23	863,333$/2yrs
Tyler Kopff	0	C/LW	98.00	71	41	73	54	84	61	72	59	60	52	51	62	52	57	55	0	28	65	22	975,000$/1yrs
Mark Friedman	0	D	98.00	67	39	79	55	71	67	75	52	30	61	52	70	57	72	69	0	27	71	30	775,000$/1yrs
Troy Stecher	0	D	100.00	62	35	86	55	70	80	84	50	30	58	56	59	53	78	76	0	27	69	31	800,000$/1yrs
Wyatt Newpower	20	D	100.00	77	42	63	50	83	64	80	48	30	55	51	68	53	68	64	0	18	67	28	800,000$/1yrs
John Prokop	0	D	98.00	64	39	84	48	78	61	69	47	30	53	50	64	52	61	59	0	27	65	24	875,000$/1yrs
Caden Price (R)	0	D	98.00	62	39	88	51	75	61	71	49	30	57	50	60	53	54	52	0	27	65	20	835,556$/3yrs
Noah Warren (R)	0	D	99.00	68	41	78	47	90	60	86	47	30	53	50	61	52	55	53	0	23	64	21	865,000$/2yrs
Scratches
Anthony Angello	17	C	100.00	71	41	73	55	86	66	80	65	68	56	56	68	56	70	67	0	20	70	29	775,000$/1yrs
Will Lockwood	0	RW	100.00	62	38	88	56	71	67	69	65	37	57	58	68	57	70	69	0	20	70	27	900,000$/3yrs
Brendan Lemieux	0	LW/RW	100.00	81	65	50	55	84	69	70	57	65	56	60	54	59	73	68	0	20	68	29	900,000$/1yrs
Gleb Veremyev	0	C/LW	100.00	72	41	70	54	84	61	71	59	62	52	51	62	52	57	54	0	20	65	22	885,000$/2yrs
Gianni Fairbrother	0	D	100.00	88	42	50	61	75	60	60	56	65	56	47	60	60	61	56	0	20	68	25	800,000$/1yrs
Chris Jandric	0	D	100.00	76	40	64	47	70	63	65	47	30	53	50	69	51	70	66	0	20	66	27	800,000$/2yrs
Guillaume Richard (R)	0	D	100.00	63	39	85	50	75	63	73	49	30	55	54	62	54	57	56	0	26	66	22
Zach Berzolla	0	D	100.00	72	40	71	44	78	59	69	42	30	45	49	67	47	66	63	0	20	62	27	800,000$/2yrs

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	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Dennis Hildeby	0	100.00	78	70	70	93	77	69	79	81	78	80	79	66	70	0	24	80	24	900,000$/2yrs
Kevin Mandolese	0	100.00	69	63	68	76	70	76	69	69	76	75	71	64	63	0	29	75	25	800,000$/1yrs
Scratches
Collin Delia	0	100.00	66	66	67	82	63	76	70	66	76	72	71	74	73	0	20	75	31	775,000$/1yrs
Owen Say	0	100.00	67	61	66	75	67	74	67	67	74	74	70	62	61	0	22	73	24	872,500$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Luke Richardson	88	75	72	90	74	70	61	CAN	57	4	1,000,000$

General Manager

Player Stats

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	SHT	OSB	OSM	SHT%	SB	AMG	PPG	PPA	PPP	PPM	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	TA	EG	HT	P/20	PSG	PSS
1	Cooper Gay	Wranglers (CGY)	LW/RW	50	16	24	40	-1	8	0	35	159	44	118	10.06%	10	19.17	5	6	11	127	1	1	2	72	3	2	42.14%	159	0	0	0	0.83	0	0
2	Brian Halonen	Wranglers (CGY)	LW/RW	47	16	17	33	-4	16	0	95	181	44	141	8.84%	9	19.96	4	4	8	107	0	0	0	112	4	1	41.30%	523	0	0	0	0.70	0	3
3	Parker Ford	Wranglers (CGY)	C/RW	50	11	15	26	-11	14	0	61	152	51	108	7.24%	12	20.47	2	3	5	124	1	1	2	90	3	0	42.94%	1034	0	0	0	0.51	0	0
4	Dominic Toninato	Wranglers (CGY)	C	42	6	18	24	-6	12	0	96	81	31	65	7.41%	12	19.31	1	2	3	87	0	0	0	73	1	0	60.76%	864	0	0	0	0.59	0	1
5	Lucas Condotta	Wranglers (CGY)	LW	50	10	14	24	-13	41	5	75	151	46	94	6.62%	15	18.65	1	1	2	119	0	0	0	66	0	1	46.63%	163	0	0	0	0.51	1	1
6	Tyler Kopff	Wranglers (CGY)	C/LW	50	11	12	23	-7	9	5	19	114	30	76	9.65%	6	17.25	3	5	8	67	0	0	0	108	2	1	51.69%	1037	0	0	0	0.53	0	2
7	Callahan Burke	Wranglers (CGY)	RW	45	12	10	22	5	6	0	16	90	28	57	13.33%	3	12.98	1	1	2	39	0	0	0	15	1	1	52.17%	46	0	1	0	0.75	0	0
8	John Hayden	Wranglers (CGY)	RW	50	7	14	21	-2	38	0	142	113	41	90	6.19%	6	15.14	1	1	2	105	0	0	0	9	1	1	53.33%	60	0	0	0	0.55	0	0
9	Mark Friedman	Wranglers (CGY)	D	45	2	16	18	-14	24	0	99	52	18	38	3.85%	58	21.90	2	6	8	124	0	1	1	131	0	0	0.00%	0	0	0	0	0.37	0	0
10	Caden Price	Wranglers (CGY)	D	50	1	15	16	10	58	0	150	40	9	27	2.50%	64	19.68	0	7	7	97	0	0	0	99	0	0	0.00%	0	0	0	0	0.33	0	0
11	Aatu Jamsen	Wranglers (CGY)	LW/RW	50	8	7	15	-9	4	0	9	126	24	63	6.35%	8	12.69	1	0	1	1	0	0	0	1	0	0	33.33%	36	0	0	0	0.47	0	0
12	John Prokop	Wranglers (CGY)	D	50	3	8	11	-15	44	0	68	61	19	35	4.92%	67	23.00	0	3	3	125	0	0	0	132	0	1	0.00%	0	0	0	0	0.19	0	0
13	Noah Warren	Wranglers (CGY)	D	44	1	8	9	2	18	0	74	13	6	15	7.69%	48	18.13	0	1	1	54	0	0	0	87	1	0	0.00%	0	0	0	0	0.23	0	0
14	Troy Stecher	Wranglers (CGY)	D	39	2	5	7	-15	12	0	31	42	21	26	4.76%	44	19.59	1	1	2	60	0	0	0	92	0	0	0.00%	0	0	0	0	0.18	0	0
15	Wyatt Newpower	Wranglers (CGY)	D	36	1	5	6	-3	45	5	102	36	8	27	2.78%	37	17.24	1	2	3	51	0	0	0	46	0	0	0.00%	0	0	0	0	0.19	0	0
16	Arnaud Durandeau	Wranglers (CGY)	LW	45	2	3	5	4	4	0	3	25	9	24	8.00%	5	4.92	0	0	0	5	0	0	0	53	0	0	33.33%	45	0	0	0	0.45	0	0
17	Kalle Vaisanen	Wranglers (CGY)	LW	50	3	2	5	-3	0	0	1	27	8	28	11.11%	4	5.11	0	0	0	0	0	0	0	0	0	0	50.00%	16	0	0	0	0.39	0	0
18	Gleb Veremyev	Wranglers (CGY)	C/LW	38	1	4	5	-5	48	0	111	50	15	33	2.00%	6	13.71	0	0	0	11	0	0	0	29	0	0	57.14%	203	0	0	0	0.19	0	1
19	Zach Berzolla	Wranglers (CGY)	D	26	1	3	4	11	14	0	28	9	4	5	11.11%	37	16.78	0	0	0	5	0	0	0	13	0	0	0.00%	0	0	0	0	0.18	0	0
20	Kalan Lind	Wranglers (CGY)	LW	48	2	0	2	-1	8	0	16	13	1	6	15.38%	2	1.98	2	0	2	17	0	0	0	0	0	0	41.94%	62	0	0	0	0.42	0	0
21	Ben Jones	Wranglers (CGY)	C	22	0	0	0	-3	9	5	5	7	0	2	0.00%	1	3.89	0	0	0	0	0	0	0	16	0	0	29.27%	82	0	0	0	0.00	0	0
Team Total or Average			927	116	200	316	-80	432	20	1236	1542	457	1078	7.52%	454	15.55	25	43	68	1336	2	3	5	1255	16	8	48.98%	4330	0	1	0	0.44	1	8

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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Kevin Mandolese	Wranglers (CGY)	20	7	6	5	0.931	2.43	1138	0	1	46	668	0	1	0	0.500	10	18	24	4	2	2
2	Dennis Hildeby	Wranglers (CGY)	14	6	5	1	0.916	2.61	737	2	0	32	379	0	2	1	0.000	0	12	9	0	0	1
3	Owen Say	Wranglers (CGY)	21	4	14	2	0.897	3.55	1151	0	1	68	661	0	1	1	0.000	0	20	17	2	2	0
Team Total or Average		55	17	25	8	0.915	2.90	3026	2	2	146	1708	0	4	2	0.500	10	50	50	6	4	3

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Aatu Jamsen	LW/RW	23	852,500$	852,500$	RFA
Anthony Angello	C	29	775,000$	775,000$	UFA
Arnaud Durandeau	LW	27	800,000$	800,000$	UFA
Ben Jones	C	26	800,000$	800,000$	800,000$	UFA
Brendan Lemieux	LW/RW	29	900,000$	900,000$	UFA
Brian Halonen	LW/RW	27	900,000$	900,000$	UFA
Caden Price	D	20	835,556$	835,556$	835,556$	835,556$	RFA
Callahan Burke	RW	28	800,000$	800,000$	UFA
Chris Jandric	D	27	800,000$	800,000$	800,000$	UFA
Collin Delia	G	31	775,000$	775,000$	UFA
Cooper Gay	LW/RW	23	872,500$	872,500$	872,500$	RFA
Dennis Hildeby	G	24	900,000$	900,000$	900,000$	RFA
Dominic Toninato	C	31	775,000$	775,000$	UFA
Gianni Fairbrother	D	25	800,000$	800,000$	RFA
Gleb Veremyev	C/LW	22	885,000$	885,000$	885,000$	RFA
Guillaume Richard	D	22	0$	RFA
John Hayden	RW	30	775,000$	775,000$	UFA
John Prokop	D	24	875,000$	875,000$	RFA
Kalan Lind	LW	21	806,666$	806,666$	806,666$	806,666$	RFA
Kalle Vaisanen	LW	23	863,333$	863,333$	863,333$	RFA
Kevin Mandolese	G	25	800,000$	800,000$	RFA
Lucas Condotta	LW	28	875,000$	875,000$	875,000$	875,000$	UFA
Mark Friedman	D	30	775,000$	775,000$	UFA
Noah Warren	D	21	865,000$	865,000$	865,000$	RFA
Owen Say	G	24	872,500$	872,500$	RFA
Parker Ford	C	25	875,000$	875,000$	875,000$	875,000$	UFA
Parker Ford	C/RW	25	875,000$	875,000$	875,000$	875,000$	UFA
Troy Stecher	D	31	800,000$	800,000$	UFA
Tyler Kopff	C/LW	22	975,000$	975,000$	RFA
Will Lockwood	RW	27	900,000$	900,000$	900,000$	900,000$	UFA
Wyatt Newpower	D	28	800,000$	800,000$	UFA
Zach Berzolla	D	27	800,000$	800,000$	800,000$	UFA

Lines

Forward Lines
# - Callahan Burke	# - Brian Halonen	# - Cooper Gay
# - Lucas Condotta	# - Parker Ford	# - Parker Ford	# - John Hayden
# - Dominic Toninato	# - Tyler Kopff	# - Aatu Jamsen
# - Kalle Vaisanen	# - Lucas Condotta	# - Parker Ford	# - Parker Ford

Defensive Pairings
# - Noah Warren	# - John Prokop
# - Wyatt Newpower	# - Caden Price
# - Mark Friedman	# - Troy Stecher

1st Power Play Unit
# - Tyler Kopff		# - Brian Halonen		# - Cooper Gay
# - Mark Friedman			# - John Prokop

2nd Power Play Unit
# - Lucas Condotta		# - Parker Ford		# - Parker Ford		# - John Hayden
# - Noah Warren			# - Caden Price

Goalies
# - Dennis Hildeby		# - Kevin Mandolese

Team Stats

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

#	VS Team	GP	W	L	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	GF%	SH%	SV%	PDO	PDOBRK
1	Phantoms	1	0	1	0	0	0	0	0	6	-6	0	0.000	0	0	0	0	0	37	39	39	2	39	510	497	524	32	34	7	8	26	5	0	0.00%	4	2	50.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	0.0%	0.0%	82.4%	82.4	Unlucky
2	Comets	1	0	1	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	37	39	39	2	23	510	497	524	32	28	9	8	36	3	0	0.00%	4	1	75.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	33.3%	4.3%	89.3%	93.6	Unlucky
3	Senators	1	0	1	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	37	39	39	2	26	510	497	524	32	35	7	6	18	2	0	0.00%	3	1	66.67%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	40.0%	7.7%	88.6%	96.3	Unlucky
4	Islanders	1	0	0	0	1	0	0	4	5	-1	1	0.500	4	7	11	0	0	37	39	39	2	33	510	497	524	32	42	5	10	19	7	2	28.57%	5	2	60.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	40.0%	12.1%	88.1%	100.2	FUN
5	Wolves	1	1	0	0	0	0	0	3	1	2	2	1.000	3	6	9	0	0	37	39	39	2	48	510	497	524	32	18	6	2	12	5	0	0.00%	0	0	0.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	75.0%	6.3%	94.4%	100.7	DULL
6	Eagles	1	1	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	37	39	39	2	35	510	497	524	32	26	10	6	28	1	0	0.00%	3	0	100.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	60.0%	8.6%	92.3%	100.9	DULL
7	Wolf Pack	1	0	1	0	0	0	0	3	5	-2	0	0.000	3	6	9	0	0	37	39	39	2	29	510	497	524	32	40	12	6	25	3	0	0.00%	2	1	50.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	42.9%	10.3%	87.5%	97.8	FUN
8	Bears	2	0	2	0	0	0	0	3	5	-2	0	0.000	3	5	8	0	0	37	39	39	2	55	510	497	524	32	71	31	18	57	6	1	16.67%	9	1	88.89%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	33.3%	5.5%	93.0%	98.4	DULL
9	Wild	1	0	1	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	37	39	39	2	23	510	497	524	32	39	14	10	32	1	1	100.00%	5	1	80.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	0.0%	4.3%	89.7%	94.1	Unlucky
10	Canucks	3	2	0	0	0	0	1	10	8	2	5	0.833	10	15	25	0	0	37	39	39	2	117	510	497	524	32	95	19	27	74	17	5	29.41%	10	1	90.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	41.7%	8.5%	91.6%	100.1	DULL
11	Reign	5	3	2	0	0	0	0	16	10	6	6	0.600	16	29	45	0	0	37	39	39	2	154	510	497	524	32	159	38	61	119	11	3	27.27%	26	4	84.62%	1	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	68.4%	10.4%	93.7%	104.1	LUCKY
12	Admirals	1	0	0	0	1	0	0	2	3	-1	1	0.500	2	4	6	0	0	37	39	39	2	36	510	497	524	32	42	8	4	26	4	1	25.00%	2	0	100.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	25.0%	5.6%	92.9%	98.4	DULL
13	Condors	3	1	1	0	1	0	0	5	6	-1	3	0.500	5	10	15	1	0	37	39	39	2	78	510	497	524	32	85	31	16	64	7	0	0.00%	8	0	100.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	45.5%	6.4%	92.9%	99.4	DULL
14	Roadrunners	3	0	2	0	1	0	0	7	12	-5	1	0.167	7	13	20	0	0	37	39	39	2	71	510	497	524	32	131	36	34	75	10	2	20.00%	15	3	80.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	35.7%	9.9%	90.8%	100.7	FUN
15	Bruins	1	0	1	0	0	0	0	2	8	-6	0	0.000	2	3	5	0	0	37	39	39	2	26	510	497	524	32	37	14	12	32	3	1	33.33%	6	4	33.33%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	20.0%	7.7%	78.4%	86.1	Unlucky
16	Americans	1	0	1	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	37	39	39	2	27	510	497	524	32	33	11	10	27	4	0	0.00%	5	0	100.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	40.0%	7.4%	90.9%	98.3	Unlucky
17	IceHogs	2	1	0	1	0	0	0	8	6	2	4	1.000	8	13	21	0	0	37	39	39	2	60	510	497	524	32	82	13	18	60	9	2	22.22%	8	2	75.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	60.0%	13.3%	92.7%	106.0	LUCKY
18	Checkers	1	1	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	37	39	39	2	33	510	497	524	32	28	7	8	35	4	1	25.00%	4	1	75.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	100.0%	9.1%	96.4%	105.5	LUCKY
19	Monsters	1	0	1	0	0	0	0	2	4	-2	0	0.000	2	3	5	1	0	37	39	39	2	31	510	497	524	32	46	17	6	30	3	0	0.00%	3	1	66.67%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	40.0%	6.5%	91.3%	97.8	DULL
20	Moose	2	1	1	0	0	0	0	7	8	-1	2	0.500	7	13	20	0	0	37	39	39	2	86	510	497	524	32	68	16	22	47	7	3	42.86%	10	3	70.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	44.4%	8.1%	88.2%	96.4	Unlucky
21	Gulls	1	1	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	37	39	39	2	48	510	497	524	32	27	7	6	32	3	0	0.00%	3	0	100.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	66.7%	4.2%	96.3%	100.5	DULL
22	Stars	2	1	0	0	1	0	0	4	4	0	3	0.750	4	7	11	0	0	37	39	39	2	75	510	497	524	32	53	14	4	36	5	1	20.00%	1	0	100.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	42.9%	5.3%	92.5%	97.8	DULL
23	Marlies	1	1	0	0	0	0	0	3	0	3	2	1.000	3	6	9	0	1	37	39	39	2	30	510	497	524	32	28	24	6	20	4	0	0.00%	2	0	100.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	100.0%	10.0%	100.0%	110.0	LUCKY
24	Penguins	1	0	1	0	0	0	0	1	4	-3	0	0.000	1	1	2	0	0	37	39	39	2	22	510	497	524	32	40	6	12	29	1	0	0.00%	5	0	100.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	20.0%	4.5%	90.0%	94.5	Unlucky
25	Barracuda	5	1	3	0	0	0	1	10	16	-6	3	0.300	10	18	28	0	1	37	39	39	2	155	510	497	524	32	174	47	59	124	10	2	20.00%	26	5	80.77%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	42.1%	6.5%	90.8%	97.3	Unlucky
26	Silver Knights	5	0	3	0	0	1	1	10	16	-6	3	0.300	10	13	23	0	0	37	39	39	2	139	510	497	524	32	180	41	43	117	11	0	0.00%	12	2	83.33%	1	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	41.7%	7.2%	91.1%	98.3	Unlucky
27	Firebirds	2	0	2	0	0	0	0	3	6	-3	0	0.000	3	5	8	0	0	37	39	39	2	54	510	497	524	32	69	22	16	52	8	0	0.00%	8	2	75.00%	0	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	42.9%	5.6%	91.3%	96.9	DULL
	_Vs Division	24	8	11	0	2	1	3	56	63	-7	23	0.479	56	94	150	1	1	37	39	39	2	745	510	497	524	32	789	205	228	582	67	10	14.93%	93	14	84.95%	2	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	48.4%	7.5%	92.0%	99.5	DULL
	_Vs Conference	37	13	15	1	4	1	3	91	103	-12	37	0.500	91	157	248	1	1	37	39	39	2	1179	510	497	524	32	1248	322	328	898	109	20	18.35%	137	23	83.21%	2	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	47.0%	7.7%	91.7%	99.5	DULL
	_Since Last GM Reset	50	15	25	1	5	1	3	117	151	-34	42	0.420	117	202	319	2	2	37	39	39	2	1553	510	497	524	32	1710	472	438	1252	154	25	16.23%	189	37	80.42%	2	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	44.7%	7.5%	91.2%	98.7	DULL
	Total	50	15	25	1	5	1	3	117	151	-34	42	0.420	117	202	319	2	2	37	39	39	2	1553	510	497	524	32	1710	472	438	1252	154	25	16.23%	189	37	80.42%	2	845	1720	49.13%	932	1868	49.89%	380	752	50.53%	1120	733	1225	406	683	331	44.7%	7.5%	91.2%	98.7	DULL

	Puck Time
Offensive Zone	22
Neutral Zone	13
Defensive Zone	24

	Puck Time
Offensive Zone Start	1720
Neutral Zone Start	752
Defensive Zone Start	1868

	Puck Time
With Puck	29
Without Puck	31

	Faceoffs
Faceoffs Won	2157
Faceoffs Lost	2183

	Team Average Shots after	League Average Shots after
1st Period	10.2	9.57
2nd Period	20.1	20.31
3rd Period	30.6	30.68
Overtime	31.3	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.7	0.64
2nd Period	1.5	1.65
3rd Period	2.3	2.67
Overtime	2.3	2.83


Even Strenght Goal	88
PP Goal	25
PK Goal	2
Empty Net Goal	2

	Home	Away
Win	11	6
Lost	9	16
Overtime Lost	4	4


PP Attempt	154
PP Goal	25
PK Attempt	189
PK Goal Against	37

	Home
Shots For	31.1
Shots Against	34.2
Goals For	2.3
Goals Against	3.0
Hits	25.0
Shots Blocked	9.4
Pim	8.8

Schedule

Date	Matchup			Result	Detail
2025-10-09	Canucks	@	Wranglers	Canucks2,Wranglers4	RECAP
2025-10-10	Wranglers	@	Silver Knights	Wranglers2,Silver Knights4	RECAP
2025-10-14	Gulls	@	Wranglers	Gulls1,Wranglers2	RECAP
2025-10-17	Wranglers	@	Barracuda	Wranglers3,Barracuda5	RECAP
2025-10-19	Reign	@	Wranglers	Reign1,Wranglers4	RECAP
2025-10-21	Roadrunners	@	Wranglers	Roadrunners5,Wranglers4 (OT)	RECAP
2025-10-24	Wranglers	@	Condors	Wranglers2,Condors3 (OT)	RECAP
2025-10-25	Wranglers	@	Wolf Pack	Wranglers3,Wolf Pack5	RECAP
2025-10-27	Condors	@	Wranglers	Condors2,Wranglers0	RECAP
2025-10-29	Silver Knights	@	Wranglers	Silver Knights1,Wranglers2 (SO)	RECAP
2025-10-31	Wranglers	@	Reign	Wranglers1,Reign2	RECAP
2025-11-01	Wranglers	@	Canucks	Wranglers3,Canucks2	RECAP
2025-11-05	Barracuda	@	Wranglers	Barracuda2,Wranglers1 (SO)	RECAP
2025-11-10	Phantoms	@	Wranglers	Phantoms6,Wranglers0	RECAP
2025-11-12	Wranglers	@	Wild	Wranglers1,Wild4	RECAP
2025-11-14	Wranglers	@	Bears	Wranglers3,Bears4	RECAP
2025-11-16	Americans	@	Wranglers	Americans3,Wranglers2	RECAP
2025-11-17	Wranglers	@	Barracuda	Wranglers1,Barracuda4	RECAP
2025-11-20	Wranglers	@	Penguins	Wranglers1,Penguins4	RECAP
2025-11-21	Bears	@	Wranglers	Bears1,Wranglers0	RECAP
2025-11-26	Stars	@	Wranglers	Stars2,Wranglers1 (OT)	RECAP
2025-11-30	Islanders	@	Wranglers	Islanders5,Wranglers4 (OT)	RECAP
2025-12-01	Wranglers	@	IceHogs	Wranglers3,IceHogs2 (OT)	RECAP
2025-12-05	Marlies	@	Wranglers	Marlies0,Wranglers3	RECAP
2025-12-08	Wranglers	@	Silver Knights	Wranglers2,Silver Knights4	RECAP
2025-12-10	Silver Knights	@	Wranglers	Silver Knights4,Wranglers2	RECAP
2025-12-12	Wranglers	@	Canucks	Wranglers3,Canucks4 (SO)	RECAP
2025-12-14	Wranglers	@	Roadrunners	Wranglers2,Roadrunners3	RECAP
2025-12-16	Barracuda	@	Wranglers	Barracuda0,Wranglers4	RECAP
2025-12-18	Wranglers	@	Barracuda	Wranglers1,Barracuda5	RECAP
2025-12-20	Wranglers	@	Roadrunners	Wranglers1,Roadrunners4	RECAP
2025-12-21	Senators	@	Wranglers	Senators4,Wranglers2	RECAP
2025-12-24	Wranglers	@	Bruins	Wranglers2,Bruins8	RECAP
2025-12-27	Wranglers	@	Checkers	Wranglers3,Checkers1	RECAP
2025-12-28	Firebirds	@	Wranglers	Firebirds3,Wranglers2	RECAP
2025-12-30	IceHogs	@	Wranglers	IceHogs4,Wranglers5	RECAP
2026-01-02	Wranglers	@	Condors	Wranglers3,Condors1	RECAP
2026-01-03	Wranglers	@	Silver Knights	Wranglers2,Silver Knights3 (SO)	RECAP
2026-01-06	Wranglers	@	Stars	Wranglers3,Stars2	RECAP
2026-01-07	Reign	@	Wranglers	Reign1,Wranglers5	RECAP
2026-01-10	Moose	@	Wranglers	Moose2,Wranglers4	RECAP
2026-01-12	Wranglers	@	Firebirds	Wranglers1,Firebirds3	RECAP
2026-01-14	Wranglers	@	Admirals	Wranglers2,Admirals3 (OT)	RECAP
2026-01-17	Comets	@	Wranglers	Comets3,Wranglers1	RECAP
2026-01-20	Wranglers	@	Eagles	Wranglers3,Eagles2	RECAP
2026-01-22	Monsters	@	Wranglers	Monsters4,Wranglers2	RECAP
2026-01-27	Reign	@	Wranglers	Reign2,Wranglers4	RECAP
2026-01-29	Wranglers	@	Moose	Wranglers3,Moose6	RECAP
2026-01-31	Wranglers	@	Reign	Wranglers2,Reign4	RECAP
2026-02-01	Wolves	@	Wranglers	Wolves1,Wranglers3	RECAP
2026-02-03	Wranglers	@	Wolf Pack
2026-02-05	Admirals	@	Wranglers
2026-02-09	Gulls	@	Wranglers
2026-02-11	Wranglers	@	Griffins
2026-02-13	Wranglers	@	Phantoms
2026-02-15	Wranglers	@	Rocket
2026-02-16	Thunderbirds	@	Wranglers
2026-02-19	Wranglers	@	Condors
2026-02-21	Phantoms	@	Wranglers
2026-02-23	Wranglers	@	Comets
2026-02-25	Wranglers	@	Wolves
2026-02-26	Wild	@	Wranglers
2026-03-03	Wranglers	@	Crunch
2026-03-04	Eagles	@	Wranglers
2026-03-07	Roadrunners	@	Wranglers
Trade Deadline --- Trades can�t be done after this day is simulated!
2026-03-12	Roadrunners	@	Wranglers
2026-03-14	Condors	@	Wranglers
2026-03-21	Gulls	@	Wranglers
2026-03-24	Canucks	@	Wranglers
2026-03-25	Wranglers	@	Gulls
2026-03-31	Wranglers	@	Gulls
2026-04-02	Canucks	@	Wranglers

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,017,806$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Calgary
	Capacity	3000
	Season Ticket Holders	0%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	0$	$	$	$
Attendance	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
12	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,017,806$	2,017,806$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
1,960,248$	11,210$	1,310,258$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	75	16,766$	1,056,258$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
1,056,258$	0$	0$	0$

Sponsors
TV Rights	Primary Sponsor	Secondary Sponsor	Secondary Sponsor

Depth Chart

Rookie

Injured

Cold Streak

Hot Streak

Left Wing

Center

Right Wing

Defense #1

Defense #2

Goalie

Transactions

Injuries

Collin Delia is suspended for 32 more games.
Brendan Lemieux is suspended for 32 more games.
Anthony Angello is suspended for 32 more games.
Will Lockwood is suspended for 32 more games.
Gianni Fairbrother is suspended for 32 more games.
Chris Jandric is suspended for 32 more games.

Game Center

Wranglers17-25-8, 42pts

24Final

Reign17-25-6, 40pts

Wolves23-23-4, 50pts

13Final

Wranglers17-25-8, 42pts

Wolves23-23-4, 50pts

Mon, Feb 02

Wranglers17-25-8, 42pts

Sat, Oct 11

Silver Knights24-18-5, 53pts

Gulls28-16-1, 57pts

Wed, Oct 15

Wranglers17-25-8, 42pts

TRANSACTIONS

Team Info


	Head Coach	Luke Richardson
	Division	Pacific
	City	Calgary
	Stadium Capacity	3,000

Wranglers Affiliation


	General Manager	Guillaume Papillon
	Head Coach	Ryan Huska
	Stadium	Scotiabank Saddledome
	Capacity	18,000

Team Leaders

GOALS Brian Halonen Wranglers	16 GOALS
POINTS Cooper Gay Wranglers	40 POINTS
WINS Kevin Mandolese Wranglers	7 WINS
Expanded Player Leaderboard

Team Stats

Goals For 117 2.34 GFG	Goals Against 151 3.02 GAA
Power Play Percentage 16.2% 25 GF	Penalty Kill Percentage 80.4% 37 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain