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

Zac Dalpe	21	C	98.00	67	39	81	53	78	69	83	70	83	53	62	73	58	82	80	0	59	73	35	800,000$/1yrs
Dominic Toninato	47	C	100.00	73	33	86	59	77	71	68	59	77	66	56	61	58	76	74	0	28	72	31	775,000$/2yrs
Aatu Jamsen (R)	0	LW/RW	99.00	67	38	84	63	65	70	80	63	44	60	66	65	63	61	60	0	55	72	22	852,500$/2yrs
Kevin Rooney	17	C/LW/RW	100.00	77	38	93	55	76	73	73	54	76	54	57	77	56	77	77	0	58	71	31	1,000,000$/2yrs
Ben Jones	0	C	100.00	72	40	71	58	73	67	90	62	69	59	58	65	59	65	62	0	62	70	26	775,000$/1yrs
John Hayden	47	RW	100.00	77	44	61	54	89	66	83	65	71	53	60	68	57	72	68	0	47	70	30	775,000$/2yrs
Callahan Burke	0	RW	100.00	62	38	88	56	69	67	87	63	68	57	57	67	57	68	67	0	62	70	28	800,000$/2yrs
Brian Halonen	0	LW/RW	100.00	69	40	76	58	80	67	81	61	45	52	64	65	58	65	62	0	62	70	26	900,000$/2yrs
Brendan Lemieux	0	LW/RW	100.00	84	66	50	55	84	71	77	58	59	59	58	55	58	72	67	0	64	69	29	900,000$/2yrs
Arnaud Durandeau	0	LW	100.00	66	39	80	58	75	67	85	61	38	58	57	65	58	65	63	0	60	69	26	800,000$/2yrs
Anthony Angello	17	C	100.00	79	42	60	50	86	63	84	65	78	51	52	69	52	70	66	0	27	68	29	775,000$/2yrs
Alexander True	70	C/RW	100.00	68	40	77	52	84	63	87	64	75	54	51	68	53	68	66	0	63	68	27	800,000$/1yrs
Troy Stecher	0	D	100.00	68	36	80	55	70	84	86	58	30	60	55	71	56	76	74	0	49	73	31	800,000$/2yrs
Daniil Miromanov	0	RWD	100.00	59	33	90	61	82	88	71	57	30	64	64	62	61	70	69	0	45	73	27	1,250,000$/2yrs
Ben Harpur (C)	22	D	99.00	74	46	83	55	95	79	72	53	30	59	54	61	53	74	72	0	66	71	30	787,500$/1yrs
Dakota Mermis	36	D	100.00	67	38	77	55	76	79	73	56	30	58	58	66	57	76	74	0	40	71	31	775,000$/1yrs
William Lagesson	92	D	100.00	76	46	73	55	82	80	71	54	30	58	50	65	52	72	69	0	64	70	29	800,000$/1yrs
Mark Friedman	0	D	100.00	77	43	73	55	71	78	72	53	30	56	54	63	53	72	70	0	47	69	29	775,000$/2yrs
Gianni Fairbrother	0	D	100.00	88	42	50	61	75	60	60	56	65	56	47	60	60	61	56	0	37	68	24	775,000$/1yrs
Scratches
Nic Petan	61	C/LW/RW	100.00	60	32	91	60	66	74	67	61	59	66	58	59	59	74	73	0	20	72	30	800,000$/1yrs
Will Lockwood (R)	0	RW	100.00	74	39	77	65	71	73	60	63	51	58	59	66	66	67	69	0	38	72	26	775,000$/1yrs
Lucas Elvenes	0	C	100.00	63	38	85	66	70	65	60	67	65	62	55	62	66	63	62	0	20	71	25
Andrei Altybarmakyan (R)	0	RW	100.00	77	40	62	63	71	64	60	62	65	58	54	64	64	65	61	0	20	70	26
Kalle Vaisanen (R)	0	LW	100.00	63	39	90	57	81	63	89	55	41	54	58	61	56	59	58	0	20	67	22	863,333$/3yrs
Alex-Olivier Voyer	0	RW	100.00	74	40	68	47	77	59	68	63	35	47	47	66	47	64	61	0	20	64	25	775,000$/1yrs
Jesper Sellgren (R)	0	D	100.00	61	37	89	61	66	64	60	59	65	57	50	67	62	65	64	0	20	70	26
Axel Rindell (R)	0	D	100.00	55	37	99	61	69	58	60	67	65	62	42	53	60	61	61	0	20	70	24
Nicolas Meloche	53	D	100.00	76	41	65	48	82	62	76	46	30	53	48	68	50	68	64	0	20	66	27
Noah Warren (R)	0	D	100.00	73	41	72	55	87	63	78	52	30	48	47	62	55	56	53	0	20	64	20	865,000$/3yrs
Wyatt Newpower	20	D	100.00	82	42	54	44	83	60	81	43	30	49	47	68	48	68	63	0	19	63	27	800,000$/2yrs
Chris Jandric	0	D	100.00	83	41	53	42	70	58	67	42	30	47	45	67	46	66	61	0	19	62	26	775,000$/1yrs

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT

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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	76	77	72	93	59	76	76	76	76	76	76	62	63	0	64	79	23	843,333$/1yrs
Collin Delia	0	100.00	81	67	68	84	66	63	69	73	69	71	69	75	78	0	23	75	30	775,000$/2yrs
Scratches
Kyle Keyser	38	100.00	72	73	70	74	74	75	73	72	75	74	73	65	66	0	20	77	26	900,000$/1yrs
Kevin Mandolese	0	100.00	72	75	70	76	72	74	73	73	74	74	73	64	65	0	48	77	24	800,000$/2yrs
Adam Werner	30	100.00	72	58	70	84	68	76	73	72	76	75	74	67	71	0	20	76	27
Ludovic Waeber	0	100.00	70	70	69	71	77	76	72	70	76	73	72	71	71	0	21	76	28	775,000$/1yrs

Goalie	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Luke Richardson	88	75	72	90	74	70	61	CAN	56	5	1,000,000$

General Manager

Player Stats

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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	GA	TA	EG	HT	P/20	PSG	PSS

1	Kevin Rooney	Wranglers (CGY)	C/LW/RW	66	24	28	52	20	22	0	93	227	64	179	10.57%	17	17.96	4	6	10	165	0	0	0	131	3	3	54.61%	271	0	0	1	1	0.88	0	0
2	Will Lockwood	Wranglers (CGY)	RW	62	23	22	45	11	26	0	147	225	64	160	10.22%	20	16.80	4	3	7	172	0	0	0	30	6	1	47.32%	112	0	0	0	0	0.86	0	3
3	Zac Dalpe	Wranglers (CGY)	C	57	23	20	43	18	23	5	84	240	59	179	9.58%	26	19.47	2	7	9	169	1	1	2	182	7	1	60.09%	1694	0	0	0	0	0.77	0	1
4	Troy Stecher	Wranglers (CGY)	D	61	7	32	39	14	42	0	147	108	24	48	6.48%	94	23.27	2	3	5	147	0	2	2	141	1	1	0.00%	0	0	0	0	0	0.55	0	0
5	Daniil Miromanov	Wranglers (CGY)	RW/D	65	10	28	38	15	16	0	44	128	39	112	7.81%	46	22.11	2	4	6	186	0	0	0	99	3	0	40.71%	113	0	0	0	0	0.53	0	4
6	Brian Halonen	Wranglers (CGY)	LW/RW	70	19	17	36	18	56	0	90	203	64	126	9.36%	15	17.09	3	3	6	161	0	0	0	72	3	0	46.88%	96	0	0	0	1	0.60	0	2
7	Aatu Jamsen	Wranglers (CGY)	LW/RW	58	13	22	35	16	20	0	73	180	55	135	7.22%	7	16.55	0	2	2	87	2	0	2	111	3	1	45.10%	102	0	0	0	0	0.73	1	2
8	Dakota Mermis	Wranglers (CGY)	D	62	3	31	34	24	36	0	76	79	30	85	3.80%	75	22.03	0	8	8	177	0	0	0	175	0	0	0.00%	0	0	0	0	0	0.50	0	0
9	Ben Harpur	Wranglers (CGY)	D	70	9	24	33	22	36	10	140	79	19	45	11.39%	97	22.92	4	2	6	208	0	0	0	220	1	0	0.00%	0	0	0	0	0	0.41	0	0
10	Ben Jones	Wranglers (CGY)	C	70	9	23	32	11	16	0	64	147	38	89	6.12%	10	10.93	0	0	0	17	0	0	0	31	2	0	51.58%	791	0	0	0	0	0.84	0	1
11	William Lagesson	Wranglers (CGY)	D	70	3	29	32	23	66	10	129	77	28	54	3.90%	68	21.05	1	7	8	190	0	0	0	196	0	0	0.00%	0	0	0	0	0	0.43	0	0
12	Dominic Toninato	Wranglers (CGY)	C	62	13	18	31	5	8	0	44	113	29	87	11.50%	6	15.50	4	2	6	123	0	2	2	118	2	0	56.23%	1163	0	0	0	0	0.65	0	0
13	John Hayden	Wranglers (CGY)	RW	62	14	14	28	9	50	10	88	149	40	123	9.40%	11	13.76	0	0	0	17	0	0	0	0	2	2	63.16%	76	0	0	0	0	0.66	0	0
14	Brendan Lemieux	Wranglers (CGY)	LW/RW	70	11	12	23	19	84	20	158	113	25	64	9.73%	6	13.09	0	0	0	12	0	0	0	43	1	2	57.14%	56	0	0	0	0	0.50	0	1
15	Callahan Burke	Wranglers (CGY)	RW	70	9	13	22	8	10	0	36	137	29	87	6.57%	6	11.09	0	0	0	3	0	0	0	16	1	1	50.75%	67	0	0	0	0	0.57	0	0
16	Mark Friedman	Wranglers (CGY)	D	62	0	12	12	1	36	0	114	39	11	32	0.00%	52	15.54	0	2	2	56	0	0	0	96	0	0	0.00%	0	0	0	0	0	0.25	0	0
17	Gianni Fairbrother	Wranglers (CGY)	D	43	1	11	12	10	46	0	105	23	8	15	4.35%	28	11.85	1	0	1	16	0	0	0	19	0	0	0.00%	0	0	0	0	0	0.47	0	0
18	Alexander True	Wranglers (CGY)	C/RW	68	4	4	8	7	12	0	4	42	10	27	9.52%	2	3.95	0	0	0	0	0	0	0	0	0	1	58.88%	214	0	0	0	0	0.60	0	0
19	Arnaud Durandeau	Wranglers (CGY)	LW	67	4	3	7	3	4	0	14	35	6	26	11.43%	4	3.28	0	0	0	1	0	0	0	4	0	0	26.67%	15	0	0	0	0	0.64	0	0
20	Wyatt Newpower	Wranglers (CGY)	D	5	0	2	2	4	0	0	9	2	1	3	0.00%	3	17.96	0	0	0	2	0	0	0	3	0	0	0.00%	0	0	0	0	0	0.45	0	0
21	Anthony Angello	Wranglers (CGY)	C	13	1	0	1	-1	4	0	9	10	1	7	10.00%	1	5.26	0	0	0	1	0	0	0	7	1	0	82.35%	17	0	0	0	0	0.29	0	0
22	Nic Petan	Wranglers (CGY)	C/LW/RW	4	1	0	1	-1	0	0	3	11	4	5	9.09%	1	22.36	0	0	0	16	0	0	0	13	0	0	50.00%	10	0	0	0	0	0.22	0	0
23	Chris Jandric	Wranglers (CGY)	D	5	0	1	1	4	2	0	12	5	1	0	0.00%	2	17.41	0	0	0	0	0	0	0	3	0	0	0.00%	0	0	0	0	0	0.23	0	0
24	Noah Warren	Wranglers (CGY)	D	2	0	0	0	0	0	0	7	2	0	0	0.00%	4	15.83	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
Team Total or Average			1244	201	366	567	260	615	55	1690	2374	649	1688	8.47%	601	15.59	27	49	76	1937	3	5	8	1721	36	13	55.89%	4797	0	0	1	2	0.58	1	14

#	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	GA	TA	EG	HT	P/20	PSG	PSS

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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	Dennis Hildeby	Wranglers (CGY)	46	26	13	6	0.918	2.43	2697	2	5	109	1332	0	1	0	0.500	6	44	24	6	3	2
2	Kevin Mandolese	Wranglers (CGY)	26	12	6	5	0.909	2.79	1420	4	1	66	723	0	1	0	0.556	9	24	29	1	3	2
3	Kyle Keyser	Wranglers (CGY)	2	0	1	1	0.899	4.46	121	0	0	9	89	0	0	0	0.000	0	2	0	0	0	0
Team Total or Average		74	38	20	12	0.914	2.60	4240	6	6	184	2144	0	2	0	0.533	15	70	53	7	6	4

#	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

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24

Aatu Jamsen	LW/RW	22	852,500$	852,500$	852,500$	RFA
Adam Werner	G	27	0$	UFA
Alex-Olivier Voyer	RW	25	775,000$	775,000$	RFA
Alexander True	C/RW	27	800,000$	800,000$	UFA
Andrei Altybarmakyan	RW	26	0$	RFA
Anthony Angello	C	29	775,000$	775,000$	775,000$	UFA
Arnaud Durandeau	LW	26	800,000$	800,000$	800,000$	UFA
Axel Rindell	D	24	0$	RFA
Ben Harpur	D	30	787,500$	787,500$	UFA
Ben Jones	C	26	775,000$	775,000$	RFA
Brendan Lemieux	LW/RW	29	900,000$	900,000$	900,000$	UFA
Brian Halonen	LW/RW	26	900,000$	900,000$	900,000$	UFA
Callahan Burke	RW	28	800,000$	800,000$	800,000$	UFA
Chris Jandric	D	26	775,000$	775,000$	RFA
Collin Delia	G	30	775,000$	775,000$	775,000$	UFA
Dakota Mermis	D	31	775,000$	775,000$	UFA
Daniil Miromanov	RW/D	27	1,250,000$	1,250,000$	1,250,000$	UFA
Dennis Hildeby	G	23	843,333$	843,333$	RFA
Dominic Toninato	C	31	775,000$	775,000$	775,000$	UFA
Gianni Fairbrother	D	24	775,000$	775,000$	RFA
Jesper Sellgren	D	26	0$	RFA
John Hayden	RW	30	775,000$	775,000$	775,000$	UFA
Kalle Vaisanen	LW	22	863,333$	863,333$	863,333$	863,333$	RFA
Kevin Mandolese	G	24	800,000$	800,000$	800,000$	RFA
Kevin Rooney	C/LW/RW	31	1,000,000$	1,000,000$	1,000,000$	UFA
Kyle Keyser	G	26	900,000$	900,000$	RFA
Lucas Elvenes	C	25	0$	RFA
Ludovic Waeber	G	28	775,000$	775,000$	UFA
Mark Friedman	D	29	775,000$	775,000$	775,000$	UFA
Nic Petan	C/LW/RW	30	800,000$	800,000$	UFA
Nicolas Meloche	D	27	0$	UFA
Noah Warren	D	20	865,000$	865,000$	865,000$	865,000$	RFA
Troy Stecher	D	31	800,000$	800,000$	800,000$	UFA
Will Lockwood	RW	26	775,000$	775,000$	RFA
William Lagesson	D	29	800,000$	800,000$	UFA
Wyatt Newpower	D	27	800,000$	800,000$	800,000$	UFA
Zac Dalpe	C	35	800,000$	800,000$	UFA

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24	2024-25	2025-26	2026-27	2027-28

Lines

Forward Lines
# - Aatu Jamsen	# - Zac Dalpe	# - Daniil Miromanov
# - Kevin Rooney	# - Dominic Toninato	# - John Hayden
# - Brian Halonen	# - Ben Jones	# - Callahan Burke
# - Brendan Lemieux	# - Alexander True	# - Anthony Angello

Defensive Pairings
# - Troy Stecher	# - Ben Harpur
# - Dakota Mermis	# - William Lagesson
# - Mark Friedman	# - Gianni Fairbrother

1st Power Play Unit
# - Aatu Jamsen		# - Zac Dalpe		# - Daniil Miromanov
# - Troy Stecher			# - Ben Harpur

2nd Power Play Unit
# - Kevin Rooney		# - Dominic Toninato		# - John Hayden
# - Dakota Mermis			# - William Lagesson

Goalies
# - Dennis Hildeby		# - Collin Delia

Team Stats

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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	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	GF%	SH%	SV%	PDO	PDOBRK

1	Phantoms	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	10	15	0	0	93	67	54	8	29	826	868	819	53	31	10	8	27	3	2	66.67%	3	0	100.00%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	50.0%	17.2%	90.3%	107.6	FUN
2	Comets	3	2	1	0	0	0	0	0	9	6	3	4	0.667	9	15	24	0	1	93	67	54	8	124	826	868	819	53	92	33	18	82	12	2	16.67%	9	2	77.78%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	63.6%	7.3%	93.5%	100.7	DULL
3	Senators	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	93	67	54	8	44	826	868	819	53	23	5	4	36	3	0	0.00%	2	0	100.00%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	66.7%	4.5%	95.7%	100.2	DULL
4	Islanders	2	0	1	0	1	0	0	0	6	7	-1	2	0.500	6	11	17	0	0	93	67	54	8	89	826	868	819	53	61	12	10	44	8	1	12.50%	5	0	100.00%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	41.7%	6.7%	88.5%	95.3	Unlucky
5	Wolves	4	2	1	0	0	1	0	0	10	7	3	5	0.625	10	17	27	0	2	93	67	54	8	135	826	868	819	53	120	36	39	92	13	1	7.69%	16	3	81.25%	1	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	69.2%	7.4%	94.2%	101.6	DULL
6	Eagles	2	1	1	0	0	0	0	0	8	5	3	2	0.500	8	15	23	0	0	93	67	54	8	73	826	868	819	53	57	14	16	38	3	1	33.33%	8	1	87.50%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	63.6%	11.0%	91.2%	102.2	LUCKY
7	Wolf Pack	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	4	8	12	0	0	93	67	54	8	32	826	868	819	53	35	6	8	33	2	0	0.00%	3	1	66.67%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	50.0%	12.5%	85.7%	98.2	FUN
8	Griffins	4	1	2	0	0	1	0	0	14	11	3	3	0.375	14	23	37	0	0	93	67	54	8	150	826	868	819	53	132	36	55	107	14	1	7.14%	20	7	65.00%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	76.5%	9.3%	91.7%	101.0	LUCKY
9	Rocket	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	93	67	54	8	36	826	868	819	53	24	7	0	20	6	1	16.67%	0	0	0.00%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	60.0%	11.1%	91.7%	102.8	LUCKY
10	Bears	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	6	9	0	0	93	67	54	8	45	826	868	819	53	35	11	8	20	5	1	20.00%	3	1	66.67%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	33.3%	6.7%	85.7%	92.4	Unlucky
11	Wild	2	1	0	0	1	0	0	0	6	4	2	4	1.000	6	11	17	0	0	93	67	54	8	60	826	868	819	53	79	24	23	49	5	1	20.00%	9	1	88.89%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	62.5%	10.0%	94.9%	104.9	LUCKY
12	Canucks	4	4	0	0	0	0	0	0	14	5	9	8	1.000	14	26	40	0	0	93	67	54	8	124	826	868	819	53	93	35	32	112	20	4	20.00%	15	2	86.67%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	76.9%	11.3%	94.6%	105.9	LUCKY
13	Reign	4	2	1	0	0	0	0	1	13	15	-2	5	0.625	13	26	39	0	1	93	67	54	8	134	826	868	819	53	122	39	38	110	15	2	13.33%	19	4	78.95%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	50.0%	9.7%	87.7%	97.4	FUN
14	Admirals	2	2	0	0	0	0	0	0	6	3	3	4	1.000	6	11	17	0	0	93	67	54	8	91	826	868	819	53	45	16	23	51	7	0	0.00%	9	0	100.00%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	66.7%	6.6%	93.3%	99.9	DULL
15	Crunch	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	93	67	54	8	33	826	868	819	53	31	2	10	28	3	1	33.33%	5	1	80.00%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	0.0%	3.0%	93.5%	96.6	DULL
16	Condors	4	3	0	0	0	1	0	0	16	9	7	7	0.875	16	31	47	0	0	93	67	54	8	164	826	868	819	53	121	32	36	87	14	2	14.29%	16	1	93.75%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	63.6%	9.8%	92.6%	102.3	LUCKY
17	Thunderbirds	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	6	9	0	0	93	67	54	8	29	826	868	819	53	33	11	10	17	5	1	20.00%	4	0	100.00%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	50.0%	10.3%	93.9%	104.3	LUCKY
18	Roadrunners	4	3	1	0	0	0	0	0	16	9	7	6	0.750	16	31	47	0	0	93	67	54	8	142	826	868	819	53	145	48	50	105	11	2	18.18%	24	4	83.33%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	73.7%	11.3%	93.8%	105.1	LUCKY
19	Bruins	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	93	67	54	8	31	826	868	819	53	33	10	8	26	3	0	0.00%	3	1	66.67%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	50.0%	9.7%	87.9%	97.6	FUN
20	Americans	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	93	67	54	8	31	826	868	819	53	30	4	8	30	1	0	0.00%	4	1	75.00%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	50.0%	6.5%	90.0%	96.5	Unlucky
21	IceHogs	2	0	0	0	0	2	0	0	6	8	-2	2	0.500	6	11	17	0	0	93	67	54	8	61	826	868	819	53	60	13	20	40	6	0	0.00%	10	1	90.00%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	46.2%	9.8%	86.7%	96.5	FUN
22	Checkers	2	2	0	0	0	0	0	0	11	7	4	4	1.000	11	19	30	0	0	93	67	54	8	89	826	868	819	53	55	12	6	55	8	1	12.50%	3	1	66.67%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	62.5%	12.4%	87.3%	99.6	FUN
23	Monsters	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	93	67	54	8	31	826	868	819	53	35	10	8	24	2	0	0.00%	4	2	50.00%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	50.0%	6.5%	88.6%	95.0	Unlucky
24	Moose	2	0	1	0	0	1	0	0	3	6	-3	1	0.250	3	4	7	0	0	93	67	54	8	64	826	868	819	53	79	27	12	52	10	1	10.00%	6	1	83.33%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	28.6%	4.7%	92.4%	97.1	DULL
25	Gulls	4	0	2	0	1	1	0	0	11	14	-3	3	0.375	11	19	30	0	0	93	67	54	8	143	826	868	819	53	160	45	35	104	12	1	8.33%	14	5	64.29%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	52.6%	7.7%	91.3%	98.9	DULL
26	Stars	2	0	0	0	0	0	0	2	4	6	-2	2	0.500	4	6	10	0	0	93	67	54	8	95	826	868	819	53	60	15	16	45	3	0	0.00%	8	0	100.00%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	40.0%	4.2%	90.0%	94.2	Unlucky
27	Marlies	2	0	1	0	0	1	0	0	5	8	-3	1	0.250	5	8	13	0	0	93	67	54	8	54	826	868	819	53	66	25	42	39	7	1	14.29%	9	2	77.78%	1	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	40.0%	9.3%	87.9%	97.1	FUN
28	Penguins	1	0	0	0	1	0	0	0	4	3	1	2	1.000	4	6	10	0	0	93	67	54	8	34	826	868	819	53	34	9	17	25	3	0	0.00%	6	1	83.33%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	66.7%	11.8%	91.2%	102.9	LUCKY
29	Barracuda	4	3	1	0	0	0	0	0	14	12	2	6	0.750	14	26	40	0	1	93	67	54	8	158	826	868	819	53	108	28	24	80	9	0	0.00%	11	3	72.73%	1	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	60.9%	8.9%	88.9%	97.7	Unlucky
30	Silver Knights	4	3	0	0	1	0	0	0	12	7	5	8	1.000	12	24	36	0	1	93	67	54	8	154	826	868	819	53	87	21	38	92	17	2	11.76%	18	3	83.33%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	71.4%	7.8%	92.0%	99.7	DULL
31	Firebirds	2	0	1	0	0	0	0	1	3	5	-2	1	0.250	3	5	8	0	0	93	67	54	8	72	826	868	819	53	58	20	18	58	5	0	0.00%	4	0	100.00%	0	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	37.5%	4.2%	91.4%	95.5	DULL
	_Vs Division	26	18	5	0	2	2	0	1	83	67	16	43	0.827	83	157	240	0	3	93	67	54	8	949	826	868	819	53	749	220	221	643	92	11	11.96%	97	18	81.44%	1	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	59.5%	8.7%	91.1%	99.8	Unlucky
	_Vs Conference	46	24	9	0	3	6	0	4	142	115	27	64	0.696	142	263	405	0	5	93	67	54	8	1670	826	868	819	53	1394	413	420	1115	150	17	11.33%	187	29	84.49%	2	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	59.2%	8.5%	91.8%	100.3	DULL
	_Since Last GM Reset	70	32	20	0	6	8	0	4	220	188	32	88	0.629	220	400	620	0	6	93	67	54	8	2551	826	868	819	53	2144	616	640	1728	235	29	12.34%	270	49	81.85%	3	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	57.9%	8.6%	91.2%	99.9	DULL
	Total	70	32	20	0	6	8	0	4	220	188	32	88	0.629	220	400	620	0	6	93	67	54	8	2551	826	868	819	53	2144	616	640	1728	235	29	12.34%	270	49	81.85%	3	1509	2683	56.24%	1370	2436	56.24%	615	1100	55.91%	1718	1163	1583	540	942	479	57.9%	8.6%	91.2%	99.9	DULL

#	VS Team	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	GF%	SH%	SV%	PDO	PDOBRK

	Puck Time
Offensive Zone	24
Neutral Zone	13
Defensive Zone	22

	Puck Time
Offensive Zone Start	2683
Neutral Zone Start	1100
Defensive Zone Start	2436

	Puck Time
With Puck	31
Without Puck	29

	Faceoffs
Faceoffs Won	3494
Faceoffs Lost	2725

	Team Average Shots after	League Average Shots after
1st Period	11.8	9.57
2nd Period	24.2	20.31
3rd Period	35.9	30.68
Overtime	36.7	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.3	0.64
2nd Period	2.3	1.65
3rd Period	3.1	2.67
Overtime	3.2	2.83


Even Strenght Goal	188
PP Goal	29
PK Goal	3
Empty Net Goal	0

	Home	Away
Win	21	17
Lost	5	15
Overtime Lost	8	4


PP Attempt	235
PP Goal	29
PK Attempt	270
PK Goal Against	49

	Home
Shots For	36.4
Shots Against	30.6
Goals For	3.1
Goals Against	2.7
Hits	24.7
Shots Blocked	8.8
Pim	9.1

Schedule

Date	Matchup			Result	Detail

2024-10-07	Barracuda	@	Wranglers	Barracuda0,Wranglers2	RECAP
2024-10-10	Wranglers	@	Griffins	Wranglers2,Griffins3	RECAP
2024-10-11	Condors	@	Wranglers	Condors1,Wranglers2	RECAP
2024-10-15	Wranglers	@	Islanders	Wranglers4,Islanders3 (OT)	RECAP
2024-10-16	Comets	@	Wranglers	Comets0,Wranglers3	RECAP
2024-10-21	Wranglers	@	Condors	Wranglers5,Condors1	RECAP
2024-10-23	Silver Knights	@	Wranglers	Silver Knights2,Wranglers3	RECAP
2024-10-25	Wranglers	@	Reign	Wranglers1,Reign0	RECAP
2024-10-27	Wranglers	@	Gulls	Wranglers1,Gulls3	RECAP
2024-10-28	Gulls	@	Wranglers	Gulls6,Wranglers5 (OT)	RECAP
2024-10-30	Wranglers	@	Wolves	Wranglers2,Wolves3	RECAP
2024-11-01	Wolves	@	Wranglers	Wolves4,Wranglers3 (OT)	RECAP
2024-11-04	Griffins	@	Wranglers	Griffins2,Wranglers1	RECAP
2024-11-07	Canucks	@	Wranglers	Canucks1,Wranglers5	RECAP
2024-11-11	Wranglers	@	IceHogs	Wranglers2,IceHogs3 (OT)	RECAP
2024-11-12	Wranglers	@	Wolf Pack	Wranglers4,Wolf Pack5	RECAP
2024-11-14	Marlies	@	Wranglers	Marlies5,Wranglers4 (OT)	RECAP
2024-11-15	Wranglers	@	Comets	Wranglers3,Comets4	RECAP
2024-11-17	Roadrunners	@	Wranglers	Roadrunners2,Wranglers5	RECAP
2024-11-21	Wranglers	@	Reign	Wranglers2,Reign5	RECAP
2024-11-23	Reign	@	Wranglers	Reign7,Wranglers6 (SO)	RECAP
2024-11-25	Bruins	@	Wranglers	Bruins4,Wranglers3	RECAP
2024-11-27	Wranglers	@	Marlies	Wranglers1,Marlies3	RECAP
2024-11-29	Wolves	@	Wranglers	Wolves0,Wranglers1	RECAP
2024-12-01	Wranglers	@	Moose	Wranglers1,Moose3	RECAP
2024-12-04	Wranglers	@	Crunch	Wranglers1,Crunch2	RECAP
2024-12-06	Wild	@	Wranglers	Wild2,Wranglers3	RECAP
2024-12-09	Wranglers	@	Wild	Wranglers3,Wild2 (OT)	RECAP
2024-12-12	Wranglers	@	Condors	Wranglers6,Condors3	RECAP
2024-12-13	Barracuda	@	Wranglers	Barracuda6,Wranglers4	RECAP
2024-12-18	Senators	@	Wranglers	Senators1,Wranglers2	RECAP
2024-12-24	Thunderbirds	@	Wranglers	Thunderbirds2,Wranglers3 (OT)	RECAP
2024-12-26	Wranglers	@	Wolves	Wranglers4,Wolves0	RECAP
2024-12-28	Wranglers	@	Stars	Wranglers1,Stars2 (SO)	RECAP
2024-12-29	Americans	@	Wranglers	Americans3,Wranglers2	RECAP
2025-01-03	Phantoms	@	Wranglers	Phantoms3,Wranglers5	RECAP
2025-01-05	Wranglers	@	Bears	Wranglers3,Bears5	RECAP
2025-01-07	Wranglers	@	Firebirds	Wranglers2,Firebirds3 (SO)	RECAP
2025-01-08	Canucks	@	Wranglers	Canucks1,Wranglers3	RECAP
2025-01-12	Wranglers	@	Admirals	Wranglers4,Admirals2	RECAP
2025-01-13	IceHogs	@	Wranglers	IceHogs5,Wranglers4 (OT)	RECAP
2025-01-16	Wranglers	@	Islanders	Wranglers2,Islanders4	RECAP
2025-01-17	Wranglers	@	Rocket	Wranglers4,Rocket2	RECAP
2025-01-20	Stars	@	Wranglers	Stars4,Wranglers3 (SO)	RECAP
2025-01-22	Wranglers	@	Gulls	Wranglers2,Gulls3	RECAP
2025-01-23	Wranglers	@	Griffins	Wranglers7,Griffins1	RECAP
2025-01-25	Checkers	@	Wranglers	Checkers3,Wranglers6	RECAP
2025-01-28	Wranglers	@	Checkers	Wranglers5,Checkers4	RECAP
2025-01-29	Admirals	@	Wranglers	Admirals1,Wranglers2	RECAP
2025-01-31	Wranglers	@	Griffins	Wranglers4,Griffins5 (OT)	RECAP
2025-02-02	Condors	@	Wranglers	Condors4,Wranglers3 (OT)	RECAP
2025-02-05	Wranglers	@	Silver Knights	Wranglers4,Silver Knights3 (OT)	RECAP
2025-02-07	Wranglers	@	Monsters	Wranglers2,Monsters4	RECAP
2025-02-09	Reign	@	Wranglers	Reign3,Wranglers4	RECAP
2025-02-12	Comets	@	Wranglers	Comets2,Wranglers3	RECAP
2025-02-14	Wranglers	@	Canucks	Wranglers2,Canucks1	RECAP
2025-02-17	Roadrunners	@	Wranglers	Roadrunners1,Wranglers3	RECAP
2025-02-22	Gulls	@	Wranglers	Gulls2,Wranglers3 (OT)	RECAP
2025-02-24	Wranglers	@	Canucks	Wranglers4,Canucks2	RECAP
2025-02-26	Firebirds	@	Wranglers	Firebirds2,Wranglers1	RECAP
2025-02-27	Wranglers	@	Eagles	Wranglers1,Eagles2	RECAP
2025-03-02	Wranglers	@	Barracuda	Wranglers4,Barracuda3	RECAP
2025-03-03	Penguins	@	Wranglers	Penguins3,Wranglers4 (OT)	RECAP
2025-03-06	Wranglers	@	Barracuda	Wranglers4,Barracuda3	RECAP
2025-03-08	Wranglers	@	Roadrunners	Wranglers5,Roadrunners1	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
2025-03-10	Eagles	@	Wranglers	Eagles3,Wranglers7	RECAP
2025-03-15	Moose	@	Wranglers	Moose3,Wranglers2 (OT)	RECAP
2025-03-19	Wranglers	@	Roadrunners	Wranglers3,Roadrunners5	RECAP
2025-03-21	Silver Knights	@	Wranglers	Silver Knights2,Wranglers3	RECAP
2025-03-22	Wranglers	@	Silver Knights	Wranglers2,Silver Knights0	RECAP
2025-03-26	Griffins	@	Wranglers
2025-04-04	Islanders	@	Wranglers

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,486,166$	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
2	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,486,166$	2,486,166$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
3,183,356$	13,660$	2,249,232$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	26	19,155$	229,860$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
229,860$	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

Nic Petan is suspended for 16 more games.

Game Center

Silver Knights16-43-7, 39pts

23Final

Wranglers38-20-12, 88pts

20Final

Silver Knights16-43-7, 39pts

Wranglers38-20-12, 88pts

Sun, Mar 23

Silver Knights16-43-7, 39pts

Wranglers38-20-12, 88pts

Fri, Oct 11

Griffins38-29-1, 77pts

Condors41-20-9, 91pts

Sat, Oct 12

Wranglers38-20-12, 88pts

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 Kevin Rooney Wranglers	24 GOALS
POINTS Kevin Rooney Wranglers	52 POINTS
WINS Dennis Hildeby Wranglers	26 WINS
Expanded Player Leaderboard

Team Stats

Goals For 220 3.14 GFG	Goals Against 188 2.69 GAA
Power Play Percentage 12.3% 29 GF	Penalty Kill Percentage 81.9% 49 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain	Alternate Captain	Alternate Captain
Ben Harpur