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
Wade Allison	0	RW	98.00	90	41	79	63	81	77	78	66	57	64	69	74	68	69	67	0	63	79	26	1,100,000$/1yrs
Tomas Nosek	9	C/LW	100.00	68	40	77	61	83	76	81	64	83	68	65	79	65	78	76	0	40	78	31	900,000$/2yrs
Anthony Richard	0	C/LW	100.00	71	38	76	64	71	72	84	65	67	66	66	66	66	70	68	0	40	75	27	775,000$/1yrs
Jakub Lauko	0	C	100.00	77	49	77	66	76	70	75	65	58	66	64	65	65	64	62	0	29	75	24	1,200,000$/3yrs
Anders Bjork	0	LW/RW	100.00	62	38	88	61	76	70	78	65	47	66	59	68	62	70	69	0	63	74	27	900,000$/2yrs
Jack Studnicka	0	C/RW	100.00	71	32	89	61	74	73	78	62	74	62	64	66	63	66	65	0	37	74	25	775,000$/1yrs
Mason Jobst	26	C	100.00	63	38	86	57	68	69	86	66	77	61	59	70	60	73	72	0	38	73	30	950,000$/3yrs
Carson Meyer	0	RW	100.00	78	39	66	59	71	69	78	62	36	60	59	66	59	68	65	0	22	73	26	775,000$/1yrs
Jimmy Huntington	63	C	100.00	72	40	71	58	78	67	84	63	69	60	57	66	58	66	63	0	41	72	25	775,000$/1yrs
Samu Tuomaala (R)	0	RW	100.00	58	38	94	65	73	69	72	64	38	67	59	60	63	58	57	0	19	72	21	830,833$/3yrs
Liam Ohgren (R)	0	LW	100.00	52	38	97	66	79	7	60	62	44	63	66	63	64	56	56	0	33	71	20	950,000$/2yrs
Marc McLaughlin	0	C	100.00	66	39	80	56	78	65	88	62	69	55	56	65	56	64	62	0	19	70	24	883,750$/1yrs
Robert Hagg	0	D	100.00	88	33	76	59	83	81	73	62	30	66	62	72	62	73	71	0	36	78	29	1,500,000$/2yrs
Urho Vaakanainen	0	D	100.00	62	33	95	63	80	82	76	62	30	68	50	67	56	66	66	0	31	76	25	1,200,000$/1yrs
Ian Mitchell	0	D	100.00	59	32	87	64	67	81	76	62	30	69	57	64	60	66	65	0	46	75	25	955,000$/2yrs
Lucas Carlsson	0	D	100.00	72	40	71	58	74	71	87	57	30	65	60	68	62	68	65	0	46	74	26	1,100,000$/1yrs
Will Zmolek	0	D	100.00	69	40	77	60	83	68	60	58	30	64	57	65	60	63	61	0	16	73	25	920,000$/1yrs
Jordan Gross	79	D	100.00	64	32	95	71	72	87	68	50	30	50	75	62	62	73	72	0	46	71	28	950,000$/1yrs
Jack Ahcan	0	D	100.00	64	38	84	56	68	67	88	53	30	62	53	68	57	68	66	0	46	71	26	975,000$/2yrs
Scratches
Matt Luff	64	RW	92.09	70	33	99	62	78	72	69	64	55	65	66	66	65	69	69	0	27	76	26	850,000$/1yrs
Declan McDonnell (R)	0	RW	100.00	73	39	78	64	66	69	60	60	40	63	63	61	63	58	55	0	19	71	21	775,000$/1yrs
Riley Damiani	13	C	100.00	66	38	81	58	65	66	86	61	73	58	57	64	58	63	61	0	26	70	24	803,333$/1yrs
Max Ellis	0	RW	100.00	63	38	85	56	65	65	82	61	38	57	55	64	56	63	61	0	19	69	24	838,750$/1yrs
Luke Henman	19	C	100.00	65	38	82	54	67	63	85	61	67	53	54	65	54	63	61	0	20	68	23	791,667$/1yrs
Samuel Helenius	0	C	100.00	75	42	67	55	90	62	87	59	62	55	52	63	53	59	56	0	26	68	21	805,833$/3yrs
Patrick Guay (R)	0	C/LW	100.00	71	39	72	55	67	62	72	59	69	54	52	63	53	59	56	0	20	68	21	775,000$/1yrs
Josh Filmon (R)	0	LW	100.00	67	39	79	35	71	68	60	62	35	61	66	60	63	56	54	0	20	67	20	870,000$/3yrs
Oskari Laaksonen	0	D	100.00	71	39	80	62	73	69	60	59	30	66	57	65	62	65	67	0	20	74	24	850,000$/1yrs
Topias Vilen (R)	0	D	100.00	63	39	86	55	77	64	68	52	30	61	50	62	56	57	56	0	23	69	21	836,667$/3yrs
Christoffer Sedoff (R)	0	D	100.00	63	39	85	51	77	62	71	49	30	57	50	63	54	59	58	0	20	67	22	870,000$/2yrs
Eemil Viro (R)	0	D	100.00	61	38	90	48	72	61	80	47	30	53	51	63	52	59	58	0	20	65	22	850,833$/1yrs

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
Devon Levi	0	98.00	66	84	76	74	80	75	82	91	85	88	82	62	66	0	22	83	22	925,000$/2yrs
Pavel Francouz	0	100.00	89	68	69	72	81	68	82	84	74	85	82	81	85	0	25	82	33	2,000,000$/1yrs
Scratches
Brandon Bussi	0	100.00	76	83	73	91	63	76	77	76	76	75	76	67	69	0	49	80	25	825,000$/1yrs
Tristan Lennox	0	100.00	69	77	66	79	60	70	68	69	70	71	69	58	60	0	19	73	21	867,500$/3yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Claude Julien	75	73	69	76	92	86	53	CAN	63	5	500,000$

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	EG	HT	P/20	PSG	PSS
1	Wade Allison	Crunch (TBL)	RW	69	26	34	60	23	42	0	164	257	69	196	10.12%	14	20.08	5	11	16	158	1	0	1	198	5	2	48.15%	189	0	1	0.87	1	2
2	Anthony Richard	Crunch (TBL)	C/LW	71	21	25	46	5	38	0	139	237	65	181	8.86%	26	19.94	4	3	7	162	1	0	1	116	4	1	52.63%	1218	0	0	0.65	1	1
3	Anders Bjork	Crunch (TBL)	LW/RW	71	11	25	36	-15	20	0	51	160	43	105	6.88%	15	16.81	4	9	13	121	0	0	0	112	3	0	39.13%	207	0	0	0.60	1	2
4	Matt Luff	Crunch (TBL)	RW	53	11	21	32	-4	4	0	42	170	39	103	6.47%	7	18.22	2	6	8	93	0	0	0	53	0	0	45.45%	231	0	0	0.66	0	2
5	Jack Ahcan	Crunch (TBL)	D	70	10	20	30	-15	30	0	82	89	25	49	11.24%	93	20.24	6	6	12	174	0	0	0	75	2	1	0.00%	0	0	0	0.42	0	0
6	Urho Vaakanainen	Crunch (TBL)	D	71	4	25	29	-7	26	0	71	77	26	51	5.19%	92	21.52	2	6	8	183	0	0	0	127	0	1	0.00%	0	0	0	0.38	0	0
7	Jimmy Huntington	Crunch (TBL)	C	65	9	20	29	-3	45	5	128	122	35	107	7.38%	20	15.96	1	9	10	143	0	0	0	61	2	0	50.11%	904	0	1	0.56	0	1
8	Ian Mitchell	Crunch (TBL)	D	66	10	18	28	2	18	0	70	87	26	51	11.49%	74	20.61	5	6	11	146	0	1	1	156	2	1	0.00%	0	0	0	0.41	0	0
9	Lucas Carlsson	Crunch (TBL)	D	70	5	21	26	-3	30	0	124	81	21	54	6.17%	64	19.86	1	6	7	126	0	0	0	133	0	1	0.00%	0	0	0	0.37	0	0
10	Samu Tuomaala	Crunch (TBL)	RW	52	7	17	24	-3	6	0	10	67	18	58	10.45%	10	11.95	0	0	0	18	0	0	0	0	0	1	32.73%	55	0	0	0.77	0	0
11	Jordan Gross	Crunch (TBL)	D	70	6	17	23	-17	36	0	101	69	28	47	8.70%	68	16.95	2	2	4	92	1	0	1	164	1	1	0.00%	0	0	0	0.39	0	0
12	Jack Studnicka	Crunch (TBL)	C/RW	65	6	16	22	-5	14	0	86	97	31	86	6.19%	8	15.62	0	7	7	94	0	0	0	26	0	0	50.88%	171	0	0	0.43	0	2
13	Topias Vilen	Crunch (TBL)	D	42	5	15	20	8	35	5	51	38	12	30	13.16%	60	19.07	2	3	5	99	0	0	0	79	1	1	0.00%	0	0	0	0.50	0	0
14	Tomas Nosek	Crunch (TBL)	C/LW	25	11	8	19	6	4	0	16	95	28	70	11.58%	5	19.15	4	5	9	62	0	0	0	37	4	0	59.12%	543	0	0	0.79	0	1
15	Jakub Lauko	Crunch (TBL)	C	44	9	10	19	-5	18	10	65	110	24	57	8.18%	10	13.14	3	4	7	71	0	0	0	25	2	2	46.68%	542	0	0	0.66	0	1
16	Riley Damiani	Crunch (TBL)	C	51	5	13	18	5	8	0	50	97	32	62	5.15%	10	13.64	1	2	3	69	0	0	0	71	0	0	52.91%	688	0	0	0.52	0	0
17	Robert Hagg	Crunch (TBL)	D	25	3	14	17	0	24	0	103	39	14	12	7.69%	25	22.42	2	6	8	53	0	0	0	1	0	0	0.00%	0	0	0	0.61	0	0
18	Marc McLaughlin	Crunch (TBL)	C	50	6	11	17	-5	16	0	60	84	21	70	7.14%	4	15.86	0	0	0	25	0	1	1	64	2	0	53.40%	470	0	0	0.43	0	0
19	Will Zmolek	Crunch (TBL)	D	45	4	11	15	2	26	0	55	23	3	21	17.39%	52	17.22	1	1	2	33	0	0	0	63	1	0	0.00%	0	0	0	0.39	0	0
20	Declan McDonnell	Crunch (TBL)	RW	32	5	7	12	5	12	0	45	53	15	41	9.43%	5	13.13	0	0	0	6	0	0	0	0	2	0	30.77%	26	0	0	0.57	0	0
21	Carson Meyer	Crunch (TBL)	RW	27	8	3	11	-6	22	0	79	55	15	31	14.55%	1	17.42	1	1	2	70	0	0	0	17	0	1	31.82%	132	0	0	0.47	0	0
22	Max Ellis	Crunch (TBL)	RW	45	4	7	11	-5	8	0	14	50	8	34	8.00%	5	9.30	0	2	2	30	0	0	0	11	0	0	33.66%	303	0	0	0.53	0	0
23	Patrick Guay	Crunch (TBL)	C/LW	28	4	5	9	3	2	0	24	26	12	19	15.38%	3	9.29	0	0	0	6	0	0	0	37	0	0	40.00%	25	0	0	0.69	0	0
24	Liam Ohgren	Crunch (TBL)	LW	58	2	7	9	5	0	0	2	56	10	25	3.57%	6	10.11	0	0	0	25	0	0	0	13	1	0	37.78%	45	0	0	0.31	0	0
25	Mason Jobst	Crunch (TBL)	C	19	2	4	6	-4	0	0	6	31	7	21	6.45%	4	13.06	0	0	0	0	0	0	0	0	1	0	56.06%	289	0	0	0.48	0	0
26	Luke Henman	Crunch (TBL)	C	19	4	0	4	-7	8	0	19	40	8	21	10.00%	3	16.67	1	0	1	39	0	0	0	27	0	0	51.28%	78	0	0	0.25	0	0
27	Samuel Helenius	Crunch (TBL)	C	31	1	1	2	1	0	0	1	4	1	1	25.00%	1	1.46	0	0	0	2	0	0	0	0	0	0	46.67%	30	0	0	0.88	0	0
28	Oskari Laaksonen	Crunch (TBL)	D	3	0	1	1	-3	2	0	6	3	1	0	0.00%	4	17.08	0	0	0	1	0	0	0	2	0	0	0.00%	0	0	0	0.39	0	0
29	Josh Filmon	Crunch (TBL)	LW	26	1	0	1	2	0	0	1	2	1	0	50.00%	0	1.34	0	0	0	0	0	0	0	2	0	0	50.00%	2	0	0	0.57	0	0
30	Eemil Viro	Crunch (TBL)	D	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.35	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0
Team Total or Average			1364	200	376	576	-40	494	20	1665	2319	638	1603	8.62%	689	16.17	47	95	142	2115	3	2	5	1685	33	13	49.79%	6148	0	2	0.52	3	12

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	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Devon Levi	Crunch (TBL)	21	9	11	1	0.901	2.91	1176	0	57	578	0	0	0	0.000	0	21	12	4	1	1
2	Pavel Francouz	Crunch (TBL)	17	8	7	1	0.926	2.27	1004	0	38	515	0	1	1	0.500	2	16	23	0	0	0
3	Brandon Bussi	Crunch (TBL)	10	5	4	0	0.900	2.66	564	0	25	250	0	0	0	0.000	0	9	20	0	0	0
Team Total or Average		48	22	22	2	0.911	2.62	2745	0	120	1343	0	1	1	0.500	2	46	55	4	1	1

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Anders Bjork	LW/RW	27	900,000$	900,000$	900,000$	UFA
Anthony Richard	C/LW	27	775,000$	775,000$	UFA
Brandon Bussi	G	25	825,000$	825,000$	RFA
Carson Meyer	RW	26	775,000$	775,000$	RFA
Christoffer Sedoff	D	22	870,000$	870,000$	870,000$	RFA
Declan McDonnell	RW	21	775,000$	775,000$	RFA
Devon Levi	G	22	925,000$	925,000$	925,000$	RFA
Eemil Viro	D	22	850,833$	850,833$	RFA
Ian Mitchell	D	25	955,000$	955,000$	955,000$	RFA
Jack Ahcan	D	26	975,000$	975,000$	975,000$	UFA
Jack Studnicka	C/RW	25	775,000$	775,000$	RFA
Jakub Lauko	C	24	1,200,000$	1,200,000$	1,200,000$	1,200,000$	RFA
Jimmy Huntington	C	25	775,000$	775,000$	RFA
Jordan Gross	D	28	950,000$	950,000$	UFA
Josh Filmon	LW	20	870,000$	870,000$	870,000$	870,000$	RFA
Liam Ohgren	LW	20	950,000$	950,000$	950,000$	RFA
Lucas Carlsson	D	26	1,100,000$	1,100,000$	RFA
Luke Henman	C	23	791,667$	791,667$	RFA
Marc McLaughlin	C	24	883,750$	883,750$	RFA
Mason Jobst	C	30	950,000$	950,000$	950,000$	950,000$	UFA
Matt Luff	RW	26	850,000$	850,000$	RFA
Max Ellis	RW	24	838,750$	838,750$	RFA
Oskari Laaksonen	D	24	850,000$	850,000$	RFA
Patrick Guay	C/LW	21	775,000$	775,000$	RFA
Pavel Francouz	G	33	2,000,000$	2,000,000$	UFA
Riley Damiani	C	24	803,333$	803,333$	RFA
Robert Hagg	D	29	1,500,000$	1,500,000$	1,500,000$	UFA
Samu Tuomaala	RW	21	830,833$	830,833$	830,833$	830,833$	RFA
Samuel Helenius	C	21	805,833$	805,833$	805,833$	805,833$	RFA
Tomas Nosek	C/LW	31	900,000$	900,000$	900,000$	UFA
Topias Vilen	D	21	836,667$	836,667$	836,667$	836,667$	RFA
Tristan Lennox	G	21	867,500$	867,500$	867,500$	867,500$	RFA
Urho Vaakanainen	D	25	1,200,000$	1,200,000$	RFA
Wade Allison	RW	26	1,100,000$	1,100,000$	RFA
Will Zmolek	D	25	920,000$	920,000$	RFA

Lines

Forward Lines
# - Anthony Richard	# - Tomas Nosek	# - Wade Allison
# - Jack Studnicka	# - Jakub Lauko	# - Samu Tuomaala
# - Anders Bjork	# - Mason Jobst	# - Carson Meyer
# - Jimmy Huntington	# - Wade Allison	# - Tomas Nosek

Defensive Pairings
# - Urho Vaakanainen	# - Robert Hagg
# - Lucas Carlsson	# - Ian Mitchell
# - Jack Ahcan	# - Will Zmolek

1st Power Play Unit
# - Wade Allison		# - Anders Bjork		# - Tomas Nosek
# - Urho Vaakanainen			# - Jakub Lauko

2nd Power Play Unit
# - Anthony Richard		# - Jimmy Huntington		# - Carson Meyer
# - Robert Hagg			# - Jack Ahcan

Goalies
# - Devon Levi		# - Pavel Francouz

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	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	2	2	0	0	0	0	7	3	4	4	1.000	7	12	19	0	0	69	70	50	3	59	674	728	660	27	55	17	12	48	5	1	20.00%	5	1	80.00%	0	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	75.0%	11.9%	94.5%	106.4	LUCKY
2	Comets	12	6	6	0	0	0	37	37	0	12	0.500	37	69	106	1	1	69	70	50	3	346	674	728	660	27	404	122	70	294	37	5	13.51%	33	5	84.85%	0	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	50.0%	10.7%	90.8%	101.5	FUN
3	Senators	8	0	7	1	0	0	11	24	-13	2	0.125	11	21	32	1	0	69	70	50	3	204	674	728	660	27	235	76	57	178	23	3	13.04%	24	3	87.50%	1	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	27.6%	5.4%	89.8%	95.2	Unlucky
4	Islanders	2	0	1	0	0	1	6	10	-4	1	0.250	6	12	18	0	0	69	70	50	3	60	674	728	660	27	67	23	6	47	8	2	25.00%	3	1	66.67%	0	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	30.8%	10.0%	85.1%	95.1	FUN
5	Wolf Pack	2	0	2	0	0	0	4	10	-6	0	0.000	4	8	12	0	0	69	70	50	3	54	674	728	660	27	60	18	18	52	3	1	33.33%	9	1	88.89%	0	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	25.0%	7.4%	83.3%	90.7	Unlucky
6	Rocket	8	3	4	0	1	0	22	24	-2	7	0.438	22	42	64	0	0	69	70	50	3	262	674	728	660	27	325	84	54	176	22	3	13.64%	27	7	74.07%	0	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	52.8%	8.4%	92.6%	101.0	DULL
7	Bears	2	1	0	0	0	1	4	4	0	3	0.750	4	6	10	0	0	69	70	50	3	69	674	728	660	27	54	20	11	52	7	0	0.00%	3	0	100.00%	0	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	50.0%	5.8%	92.6%	98.4	DULL
8	Thunderbirds	2	0	2	0	0	0	3	7	-4	0	0.000	3	5	8	0	0	69	70	50	3	58	674	728	660	27	57	20	16	40	6	1	16.67%	8	1	87.50%	0	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	25.0%	5.2%	87.7%	92.9	Unlucky
9	Bruins	4	3	0	0	1	0	13	10	3	7	0.875	13	23	36	0	0	69	70	50	3	115	674	728	660	27	129	42	18	76	19	5	26.32%	9	2	77.78%	0	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	50.0%	11.3%	92.2%	103.6	LUCKY
10	Americans	12	2	7	0	1	2	24	39	-15	7	0.292	24	42	66	1	0	69	70	50	3	350	674	728	660	27	365	107	74	281	36	6	16.67%	34	8	76.47%	0	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	36.7%	6.9%	89.3%	96.2	Unlucky
11	Monsters	4	4	0	0	0	0	20	9	11	8	1.000	20	37	57	0	0	69	70	50	3	123	674	728	660	27	117	46	24	85	16	2	12.50%	12	3	75.00%	0	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	75.0%	16.3%	92.3%	108.6	LUCKY
12	Marlies	8	5	2	1	0	0	25	19	6	12	0.750	25	46	71	0	0	69	70	50	3	238	674	728	660	27	212	59	51	150	25	7	28.00%	21	2	90.48%	0	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	51.4%	10.5%	91.0%	101.5	FUN
13	Penguins	4	4	0	0	0	0	15	4	11	8	1.000	15	26	41	0	0	69	70	50	3	139	674	728	660	27	89	21	35	75	16	7	43.75%	11	1	90.91%	0	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	72.7%	10.8%	95.5%	106.3	LUCKY
	_Vs Division	28	20	26	2	2	2	93	77	16	48	0.857	93	170	263	1	1	69	70	50	3	850	674	728	660	27	846	267	176	653	92	18	19.57%	76	12	84.21%	0	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	53.6%	10.9%	90.9%	101.8	FUN
	_Vs Conference	70	30	31	2	3	4	191	200	-9	71	0.507	191	349	540	3	1	69	70	50	3	2077	674	728	660	27	2169	655	446	1554	223	43	19.28%	199	35	82.41%	1	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	47.3%	9.2%	90.8%	100.0	FUN
	_Since Last GM Reset	70	30	31	2	3	4	191	200	-9	71	0.507	191	349	540	3	1	69	70	50	3	2077	674	728	660	27	2169	655	446	1554	223	43	19.28%	199	35	82.41%	1	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	47.3%	9.2%	90.8%	100.0	FUN
	Total	70	30	31	2	3	4	191	200	-9	71	0.507	191	349	540	3	1	69	70	50	3	2077	674	728	660	27	2169	655	446	1554	223	43	19.28%	199	35	82.41%	1	1193	2398	49.75%	1185	2377	49.85%	573	1085	52.81%	1648	1115	1648	529	931	466	47.3%	9.2%	90.8%	100.0	FUN

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	23

	Puck Time
Offensive Zone Start	2398
Neutral Zone Start	1085
Defensive Zone Start	2377

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	2951
Faceoffs Lost	2909

	Team Average Shots after	League Average Shots after
1st Period	9.6	9.57
2nd Period	20.0	20.31
3rd Period	29.5	30.68
Overtime	29.8	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.0	0.64
2nd Period	2.0	1.65
3rd Period	2.7	2.67
Overtime	2.7	2.83


Even Strenght Goal	144
PP Goal	43
PK Goal	1
Empty Net Goal	3

	Home	Away
Win	18	14
Lost	15	16
Overtime Lost	2	5


PP Attempt	223
PP Goal	43
PK Attempt	199
PK Goal Against	35

	Home
Shots For	29.7
Shots Against	31.0
Goals For	2.7
Goals Against	2.9
Hits	22.2
Shots Blocked	9.4
Pim	6.4

Schedule

Date	Matchup			Result	Detail
2023-10-13	Crunch	@	Comets	Crunch1,Comets7	RECAP
2023-10-14	Islanders	@	Crunch	Islanders5,Crunch2	RECAP
2023-10-20	Crunch	@	Monsters	Crunch5,Monsters3	RECAP
2023-10-21	Crunch	@	Monsters	Crunch9,Monsters3	RECAP
2023-10-27	Comets	@	Crunch	Comets4,Crunch5	RECAP
2023-10-28	Rocket	@	Crunch	Rocket2,Crunch5	RECAP
2023-11-01	Crunch	@	Americans	Crunch3,Americans5	RECAP
2023-11-04	Americans	@	Crunch	Americans6,Crunch3	RECAP
2023-11-08	Crunch	@	Senators	Crunch3,Senators2 (OT)	RECAP
2023-11-10	Penguins	@	Crunch	Penguins1,Crunch2	RECAP
2023-11-11	Crunch	@	Penguins	Crunch4,Penguins1	RECAP
2023-11-14	Crunch	@	Islanders	Crunch4,Islanders5 (SO)	RECAP
2023-11-17	Wolf Pack	@	Crunch	Wolf Pack3,Crunch1	RECAP
2023-11-18	Crunch	@	Wolf Pack	Crunch3,Wolf Pack7	RECAP
2023-11-22	Crunch	@	Comets	Crunch1,Comets3	RECAP
2023-11-24	Comets	@	Crunch	Comets2,Crunch5	RECAP
2023-11-25	Rocket	@	Crunch	Rocket2,Crunch3	RECAP
2023-12-01	Marlies	@	Crunch	Marlies3,Crunch5	RECAP
2023-12-02	Crunch	@	Marlies	Crunch1,Marlies3	RECAP
2023-12-08	Bears	@	Crunch	Bears3,Crunch2 (SO)	RECAP
2023-12-09	Comets	@	Crunch	Comets3,Crunch5	RECAP
2023-12-10	Crunch	@	Comets	Crunch2,Comets0	RECAP
2023-12-13	Crunch	@	Penguins	Crunch4,Penguins1	RECAP
2023-12-16	Crunch	@	Comets	Crunch2,Comets3	RECAP
2023-12-17	Crunch	@	Bruins	Crunch5,Bruins3	RECAP
2023-12-20	Rocket	@	Crunch	Rocket3,Crunch2	RECAP
2023-12-22	Monsters	@	Crunch	Monsters1,Crunch2	RECAP
2023-12-23	Americans	@	Crunch	Americans1,Crunch0 (OT)	RECAP
2023-12-27	Crunch	@	Americans	Crunch1,Americans2 (SO)	RECAP
2023-12-29	Crunch	@	Rocket	Crunch2,Rocket4	RECAP
2023-12-30	Crunch	@	Rocket	Crunch2,Rocket3 (OT)	RECAP
2024-01-06	Crunch	@	Marlies	Crunch5,Marlies1	RECAP
2024-01-07	Crunch	@	Marlies	Crunch3,Marlies2	RECAP
2024-01-12	Thunderbirds	@	Crunch	Thunderbirds4,Crunch2	RECAP
2024-01-13	Monsters	@	Crunch	Monsters2,Crunch4	RECAP
2024-01-15	Comets	@	Crunch	Comets4,Crunch3	RECAP
2024-01-19	Bruins	@	Crunch	Bruins3,Crunch4	RECAP
2024-01-20	Comets	@	Crunch	Comets2,Crunch4	RECAP
2024-01-26	Rocket	@	Crunch	Rocket3,Crunch2	RECAP
2024-01-27	Crunch	@	Comets	Crunch3,Comets4	RECAP
2024-01-31	Crunch	@	Americans	Crunch1,Americans4	RECAP
2024-02-02	Senators	@	Crunch	Senators3,Crunch1	RECAP
2024-02-03	Senators	@	Crunch	Senators2,Crunch1	RECAP
2024-02-09	Crunch	@	Americans	Crunch0,Americans3	RECAP
2024-02-10	Americans	@	Crunch	Americans2,Crunch1	RECAP
2024-02-14	Crunch	@	Senators	Crunch1,Senators4	RECAP
2024-02-17	Crunch	@	Phantoms	Crunch3,Phantoms2	RECAP
2024-02-23	Crunch	@	Comets	Crunch2,Comets3	RECAP
2024-02-24	Senators	@	Crunch	Senators2,Crunch1	RECAP
2024-02-25	Comets	@	Crunch	Comets2,Crunch4	RECAP
2024-02-28	Crunch	@	Americans	Crunch2,Americans3 (SO)	RECAP
2024-03-01	Marlies	@	Crunch	Marlies2,Crunch3	RECAP
2024-03-02	Crunch	@	Marlies	Crunch4,Marlies3 (OT)	RECAP
2024-03-06	Crunch	@	Rocket	Crunch3,Rocket5	RECAP
2024-03-08	Crunch	@	Americans	Crunch3,Americans1	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
2024-03-09	Americans	@	Crunch	Americans6,Crunch5	RECAP
2024-03-13	Americans	@	Crunch	Americans5,Crunch3	RECAP
2024-03-15	Senators	@	Crunch	Senators4,Crunch1	RECAP
2024-03-16	Crunch	@	Bears	Crunch2,Bears1	RECAP
2024-03-22	Penguins	@	Crunch	Penguins1,Crunch5	RECAP
2024-03-23	Crunch	@	Thunderbirds	Crunch1,Thunderbirds3	RECAP
2024-03-24	Crunch	@	Bruins	Crunch1,Bruins2 (OT)	RECAP
2024-03-27	Americans	@	Crunch	Americans1,Crunch2	RECAP
2024-03-29	Phantoms	@	Crunch	Phantoms1,Crunch4	RECAP
2024-03-30	Bruins	@	Crunch	Bruins2,Crunch3	RECAP
2024-04-05	Crunch	@	Rocket	Crunch3,Rocket2	RECAP
2024-04-06	Crunch	@	Senators	Crunch1,Senators2	RECAP
2024-04-12	Marlies	@	Crunch	Marlies4,Crunch1	RECAP
2024-04-13	Marlies	@	Crunch	Marlies1,Crunch3	RECAP
2024-04-17	Crunch	@	Senators	Crunch2,Senators5	RECAP
2024-04-19	Crunch	@	Comets
2024-04-20	Comets	@	Crunch

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,847,416$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Syracuse
	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
1	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,847,416$	2,847,416$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
2,769,160$	14,602$	2,276,856$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	17,166$	51,498$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
51,498$	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

Oskari Laaksonen is suspended for 46 more games.

Matt Luff is out for 3 days because of a Right Foot Injury.
Henrik Borgstrom is suspended for 43 more games.

Carl Grundstrom is out for 1 week because of a Sprained Right Knee Injury.
Declan McDonnell is suspended for 46 more games.

Game Center

Marlies29-35-6, 64pts

13Final

Crunch32-31-7, 71pts

25Final

Senators37-27-6, 80pts

Crunch32-31-7, 71pts

Thu, Apr 18

Senators37-27-6, 80pts

Islanders33-32-5, 71pts

Sun, Oct 15

Crunch32-31-7, 71pts

Sat, Oct 21

Monsters35-26-8, 78pts

TRANSACTIONS

Team Info


	Head Coach	Claude Julien
	Division	North
	City	Syracuse
	Stadium Capacity	3,000

Crunch Affiliation


	General Manager	Etienne Dube
	Head Coach	Dean Evason
	Stadium	Amalie Arena
	Capacity	18,000

Team Leaders

GOALS Wade Allison Crunch	26 GOALS
POINTS Wade Allison Crunch	60 POINTS
WINS Devon Levi Crunch	9 WINS
Expanded Player Leaderboard

Team Stats

Goals For 191 2.73 GFG	Goals Against 200 2.86 GAA
Power Play Percentage 19.3% 43 GF	Penalty Kill Percentage 82.4% 35 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain