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
Brendan Gaunce	23	C/LW	99.00	80	34	78	57	87	74	77	60	82	61	61	80	61	79	76	0	48	74	31	800,000$/2yrs
Glenn Gawdin	42	C/LW	100.00	74	40	68	61	76	70	89	63	77	65	61	66	63	68	65	0	47	73	28	800,000$/2yrs
Tanner Laczynski	9	C	99.00	64	39	84	62	75	71	81	63	68	66	62	66	64	68	67	0	41	73	28	775,000$/1yrs
Juuso Parssinen	0	C/LW	100.00	76	38	88	61	85	72	78	59	75	62	63	60	61	66	65	0	37	72	25	1,250,000$/2yrs
Clark Bishop	0	C	99.00	68	40	77	56	78	67	89	65	78	57	58	68	58	70	68	0	49	71	29	800,000$/2yrs
Cole Smith	64	LW/RW	99.00	83	52	72	55	79	77	84	56	59	58	60	71	58	75	73	0	48	71	30	1,000,000$/1yrs
Brett Berard (R)	0	LW	100.00	74	32	89	60	65	73	75	56	59	57	63	60	59	63	62	0	58	70	23	821,250$/1yrs
Patrick Brown	0	C/RW	100.00	89	33	81	55	82	72	68	50	30	56	50	71	50	81	79	0	45	69	33	800,000$/1yrs
Tyler Pitlick	0	LW/RW	99.00	84	55	79	55	80	68	70	51	30	50	56	62	53	82	80	0	48	68	34	800,000$/2yrs
Lucas Vanroboys	0	C/LW/RW	100.00	99	44	50	54	71	63	82	62	65	52	55	66	54	64	59	0	51	68	26	800,000$/2yrs
Atley Calvert	0	C	100.00	67	39	79	59	75	65	78	58	65	56	60	61	58	57	55	0	51	68	22	800,000$/2yrs
Mark Senden	0	C	100.00	63	39	86	54	75	65	86	63	71	56	54	66	55	66	65	0	51	68	28	800,000$/2yrs
Jacob MacDonald	34	D	100.00	70	40	75	60	79	73	80	56	30	61	66	72	64	75	73	0	48	74	33	800,000$/2yrs
Pavel Mintyukov	0	D	100.00	62	33	97	62	76	81	89	57	30	61	65	75	61	62	61	0	58	74	22	918,333$/1yrs
Jack Ahcan	0	D	99.00	62	38	87	59	68	68	87	55	30	66	53	68	59	68	67	0	48	73	28	800,000$/2yrs
Ben Hutton	0	D	99.00	59	41	85	55	81	79	86	51	30	62	67	56	59	80	78	0	47	72	32	1,000,000$/2yrs
Nick DeSimone	57	D	100.00	62	32	97	55	75	80	72	50	30	62	60	53	55	77	77	0	48	71	31	1,250,000$/2yrs
Ben Gleason	6	D	100.00	64	39	85	55	75	66	81	53	30	62	52	67	57	66	65	0	37	70	27	800,000$/2yrs
Andreas Englund	0	D	100.00	82	73	54	55	77	77	72	50	30	55	55	64	52	75	70	0	52	69	30	1,250,000$/2yrs
Scratches
Luke Philp	0	C	100.00	61	38	89	56	69	68	79	66	69	60	56	69	58	72	70	0	20	71	30	800,000$/1yrs
Travis Barron	0	LW	100.00	76	41	65	55	80	65	81	63	47	55	55	66	55	66	63	0	20	69	27	800,000$/1yrs
Robert Mastrosimone (R)	0	C/LW	100.00	63	38	86	56	65	63	79	60	69	53	56	63	55	61	59	0	19	67	25	850,000$/3yrs
Jacob Julien (R)	0	C	100.00	73	40	72	57	76	64	89	55	65	58	54	62	56	57	55	0	20	67	21	895,000$/3yrs
Tate Singleton	0	LW	100.00	77	40	62	51	66	62	72	63	46	51	52	67	52	66	62	0	20	66	27	800,000$/2yrs
Robbie Russo	0	D	100.00	65	39	82	54	74	67	88	51	30	60	52	72	56	75	73	0	20	71	33	800,000$/1yrs
Carson Golder	0	D	100.00	62	39	88	55	81	63	65	61	36	56	53	65	54	63	61	0	20	69	23	800,000$/2yrs
Austin Strand	73	D	100.00	74	41	68	50	86	64	86	49	30	56	52	68	54	68	65	0	20	68	29	800,000$/2yrs
Steven Santini	38	D	100.00	61	39	89	50	82	66	84	49	30	56	53	70	54	71	70	0	20	68	30	800,000$/2yrs
Ashton Sautner	0	D	100.00	67	39	79	49	77	65	86	48	30	54	51	71	53	73	71	0	20	67	31	800,000$/2yrs
Nicolas Mattinen	0	D	100.00	62	40	87	50	88	63	70	48	30	55	50	67	53	66	65	0	20	67	27	800,000$/2yrs
Michael Krutil (R)	0	D	100.00	59	39	92	58	84	57	60	54	30	51	42	62	55	57	60	0	20	65	23	900,000$/3yrs

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
Marcus Hogberg	35	96.00	75	68	68	91	67	66	70	73	70	76	70	76	80	0	52	77	31	1,000,000$/1yrs
Ken Appleby	0	100.00	67	65	68	89	59	78	70	67	78	75	71	72	72	0	45	76	30	800,000$/2yrs
Scratches
Samuel Hlavaj	0	100.00	70	74	68	96	48	75	70	70	75	75	71	62	62	0	27	75	24	875,000$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Guy Boucher	63	58	66	70	74	64	77	CAN	53	1	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	TA	EG	HT	P/20	PSG	PSS
1	Cole Smith	Thunderbirds (STL)	LW/RW	60	21	22	43	-2	59	5	170	212	45	140	9.91%	25	20.29	3	9	12	171	0	0	0	45	4	1	49.38%	81	0	0	0	0.71	1	3
2	Tanner Laczynski	Thunderbirds (STL)	C	55	15	24	39	3	2	0	19	155	46	153	9.68%	19	20.03	5	8	13	141	0	1	1	189	2	1	48.15%	1593	0	1	1	0.71	0	2
3	Pavel Mintyukov	Thunderbirds (STL)	D	44	6	31	37	6	24	0	63	97	35	74	6.19%	49	19.38	5	8	13	131	0	0	0	2	2	0	0.00%	0	0	0	0	0.87	0	0
4	Brendan Gaunce	Thunderbirds (STL)	C/LW	60	13	20	33	-5	28	0	71	206	54	135	6.31%	24	20.08	5	5	10	175	1	0	1	171	1	2	65.93%	91	0	0	0	0.55	0	0
5	Clark Bishop	Thunderbirds (STL)	C	60	20	13	33	-8	19	5	52	191	43	151	10.47%	16	18.56	6	3	9	165	0	0	0	109	5	0	58.70%	1414	0	0	0	0.59	0	1
6	Glenn Gawdin	Thunderbirds (STL)	C/LW	60	15	17	32	-2	20	0	62	178	39	124	8.43%	14	16.84	0	2	2	55	0	0	0	65	1	2	42.33%	404	0	0	0	0.63	0	2
7	Ben Hutton	Thunderbirds (STL)	D	60	5	23	28	6	34	0	68	70	10	32	7.14%	67	25.12	3	7	10	185	0	1	1	189	0	0	0.00%	0	0	0	0	0.37	0	0
8	Jack Ahcan	Thunderbirds (STL)	D	60	9	19	28	1	42	0	107	89	16	41	10.11%	96	21.07	5	4	9	172	0	0	0	164	3	0	0.00%	0	0	0	0	0.44	0	0
9	Patrick Brown	Thunderbirds (STL)	C/RW	60	5	21	26	-4	19	5	84	77	29	66	6.49%	11	12.83	2	7	9	183	0	0	0	82	1	0	56.45%	62	0	0	0	0.68	0	0
10	Lucas Vanroboys	Thunderbirds (STL)	C/LW/RW	60	11	15	26	6	76	0	163	127	35	87	8.66%	6	13.16	0	0	0	6	0	0	0	0	2	0	31.48%	54	0	0	0	0.66	0	0
11	Atley Calvert	Thunderbirds (STL)	C	60	10	15	25	10	6	0	12	117	36	70	8.55%	5	12.88	0	0	0	20	0	0	0	0	0	1	52.90%	913	0	0	0	0.65	1	1
12	Nick DeSimone	Thunderbirds (STL)	D	60	5	18	23	2	32	0	62	55	17	31	9.09%	60	21.11	2	5	7	174	0	0	0	165	0	0	0.00%	0	0	0	0	0.36	0	0
13	Jacob MacDonald	Thunderbirds (STL)	D	60	7	15	22	-2	38	0	105	74	23	54	9.46%	75	19.55	1	1	2	58	0	0	0	189	0	1	0.00%	0	0	0	0	0.38	1	1
14	Tyler Pitlick	Thunderbirds (STL)	LW/RW	60	6	15	21	1	28	0	120	101	38	75	5.94%	7	18.55	0	6	6	178	0	0	0	87	2	0	49.77%	213	0	0	0	0.38	1	1
15	Tate Singleton	Thunderbirds (STL)	LW	46	7	9	16	-5	28	0	58	96	24	69	7.29%	11	12.76	0	0	0	0	0	0	0	0	1	0	56.52%	23	0	0	0	0.55	0	0
16	Juuso Parssinen	Thunderbirds (STL)	C/LW	24	5	5	10	10	0	0	1	30	10	21	16.67%	3	8.20	0	0	0	3	0	0	0	0	1	0	54.55%	11	0	0	0	1.02	0	0
17	Brett Berard	Thunderbirds (STL)	LW	45	1	9	10	2	14	0	36	68	15	49	1.47%	4	13.19	0	0	0	18	0	0	0	81	0	0	55.06%	158	0	0	0	0.34	1	2
18	Mark Senden	Thunderbirds (STL)	C	60	2	8	10	4	2	0	7	40	19	49	5.00%	5	6.41	0	0	0	0	0	0	0	20	0	0	58.72%	453	0	0	0	0.52	0	0
19	Andreas Englund	Thunderbirds (STL)	D	60	1	8	9	-3	61	15	156	32	9	23	3.13%	45	14.19	0	1	1	12	0	0	0	52	1	0	0.00%	0	0	0	0	0.21	0	0
20	Robert Mastrosimone	Thunderbirds (STL)	C/LW	17	3	0	3	2	2	0	4	14	2	16	21.43%	1	6.73	0	0	0	1	0	0	0	1	1	0	8.33%	12	0	0	0	0.52	0	0
21	Carson Golder	Thunderbirds (STL)	D	33	0	2	2	0	0	0	6	1	1	0	0.00%	3	2.10	0	0	0	0	0	0	0	4	0	0	0.00%	0	0	0	0	0.58	0	0
22	Ben Gleason	Thunderbirds (STL)	D	14	0	1	1	1	0	0	1	0	0	0	0.00%	0	0.47	0	0	0	1	0	0	0	2	0	0	0.00%	0	0	0	0	3.02	0	0
23	Jacob Julien	Thunderbirds (STL)	C	14	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.04	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0
Team Total or Average			1132	167	310	477	23	534	30	1427	2030	546	1460	8.23%	546	15.87	37	66	103	1859	1	2	3	1626	27	8	52.57%	5482	0	1	1	0.53	5	13

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	Ken Appleby	Thunderbirds (STL)	41	16	20	5	0.910	2.84	2411	4	3	114	1266	0	1	1	0.667	9	41	14	4	3	2
2	Marcus Hogberg	Thunderbirds (STL)	14	11	3	0	0.923	2.40	849	0	1	34	441	0	0	0	1.000	3	14	18	1	3	0
3	Samuel Hlavaj	Thunderbirds (STL)	7	2	3	0	0.920	2.51	359	4	0	15	188	0	1	0	0.000	0	5	28	0	0	1
Team Total or Average		62	29	26	5	0.914	2.70	3619	8	4	163	1895	0	2	1	0.750	12	60	60	5	6	3

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Andreas Englund	D	30	1,250,000$	1,250,000$	1,250,000$	UFA
Ashton Sautner	D	31	800,000$	800,000$	800,000$	UFA
Atley Calvert	C	22	800,000$	800,000$	800,000$	RFA
Austin Strand	D	29	800,000$	800,000$	800,000$	UFA
Ben Gleason	D	27	800,000$	800,000$	800,000$	UFA
Ben Hutton	D	32	1,000,000$	1,000,000$	1,000,000$	UFA
Brendan Gaunce	C/LW	31	800,000$	800,000$	800,000$	UFA
Brett Berard	LW	23	821,250$	775,000$	RFA
Carson Golder	D	23	800,000$	800,000$	800,000$	RFA
Clark Bishop	C	29	800,000$	800,000$	800,000$	UFA
Cole Smith	LW/RW	30	1,000,000$	1,000,000$	UFA
Glenn Gawdin	C/LW	28	800,000$	800,000$	800,000$	UFA
Jack Ahcan	D	28	800,000$	800,000$	800,000$	UFA
Jacob Julien	C	21	895,000$	895,000$	895,000$	895,000$	RFA
Jacob MacDonald	D	33	800,000$	800,000$	800,000$	UFA
Juuso Parssinen	C/LW	25	1,250,000$	1,250,000$	1,250,000$	RFA
Ken Appleby	G	30	800,000$	800,000$	800,000$	UFA
Lucas Vanroboys	C/LW/RW	26	800,000$	800,000$	800,000$	UFA
Luke Philp	C	30	800,000$	800,000$	UFA
Marcus Hogberg	G	31	1,000,000$	1,000,000$	UFA
Mark Senden	C	28	800,000$	800,000$	800,000$	UFA
Michael Krutil	D	23	900,000$	900,000$	900,000$	900,000$	RFA
Nick DeSimone	D	31	1,250,000$	1,250,000$	1,250,000$	UFA
Nicolas Mattinen	D	27	800,000$	800,000$	800,000$	UFA
Patrick Brown	C/RW	33	800,000$	800,000$	UFA
Pavel Mintyukov	D	22	918,333$	918,333$	RFA
Robbie Russo	D	33	800,000$	800,000$	UFA
Robert Mastrosimone	C/LW	25	850,000$	850,000$	850,000$	850,000$	UFA
Samuel Hlavaj	G	24	875,000$	875,000$	RFA
Steven Santini	D	30	800,000$	800,000$	800,000$	UFA
Tanner Laczynski	C	28	775,000$	775,000$	UFA
Tate Singleton	LW	27	800,000$	800,000$	800,000$	UFA
Travis Barron	LW	27	800,000$	800,000$	UFA
Tyler Pitlick	LW/RW	34	800,000$	800,000$	800,000$	UFA

Lines

Forward Lines
# - Glenn Gawdin	# - Tanner Laczynski	# - Cole Smith
# - Brendan Gaunce	# - Clark Bishop	# - Tyler Pitlick
# - Juuso Parssinen	# - Atley Calvert	# - Lucas Vanroboys
# - Cole Smith	# - Mark Senden	# - Patrick Brown

Defensive Pairings
# - Ben Hutton	# - Pavel Mintyukov
# - Nick DeSimone	# - Jack Ahcan
# - Andreas Englund	# - Jacob MacDonald

1st Power Play Unit
# - Patrick Brown		# - Tanner Laczynski		# - Cole Smith
# - Ben Hutton			# - Pavel Mintyukov

2nd Power Play Unit
# - Brendan Gaunce		# - Clark Bishop		# - Tyler Pitlick
# - Nick DeSimone			# - Jack Ahcan

Goalies
# - Marcus Hogberg		# - Ken Appleby

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	Wranglers	1	0	0	1	0	0	0	4	3	1	2	1.000	4	7	11	0	0	71	47	46	6	24	667	669	622	26	43	16	12	16	0	0	0.00%	5	2	60.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	80.0%	16.7%	93.0%	109.7	LUCKY
2	Phantoms	4	1	2	0	1	0	0	9	12	-3	3	0.375	9	15	24	0	0	71	47	46	6	99	667	669	622	26	148	53	54	109	13	3	23.08%	26	5	80.77%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	46.2%	9.1%	91.9%	101.0	LUCKY
3	Comets	2	2	0	0	0	0	0	6	2	4	4	1.000	6	10	16	0	0	71	47	46	6	77	667	669	622	26	61	13	18	46	6	0	0.00%	9	1	88.89%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	85.7%	7.8%	96.7%	104.5	DULL
4	Senators	2	1	1	0	0	0	0	6	4	2	2	0.500	6	12	18	0	0	71	47	46	6	52	667	669	622	26	43	10	10	45	4	0	0.00%	3	0	100.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	60.0%	11.5%	90.7%	102.2	FUN
5	Islanders	5	1	2	1	0	1	0	12	11	1	6	0.600	12	19	31	0	0	71	47	46	6	162	667	669	622	26	133	35	34	105	12	2	16.67%	15	3	80.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	55.6%	7.4%	91.7%	99.1	DULL
6	Wolves	1	1	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	71	47	46	6	25	667	669	622	26	40	15	10	28	6	1	16.67%	5	1	80.00%	1	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	66.7%	12.0%	95.0%	107.0	LUCKY
7	Eagles	1	0	1	0	0	0	0	2	4	-2	0	0.000	2	4	6	1	0	71	47	46	6	20	667	669	622	26	32	10	17	22	1	0	0.00%	7	2	71.43%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	50.0%	10.0%	87.5%	97.5	FUN
8	Wolf Pack	4	3	1	0	0	0	0	14	13	1	6	0.750	14	27	41	0	0	71	47	46	6	144	667	669	622	26	142	35	53	79	14	6	42.86%	22	4	81.82%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	47.1%	9.7%	90.8%	100.6	FUN
9	Griffins	2	0	1	0	1	0	0	4	7	-3	1	0.250	4	7	11	0	0	71	47	46	6	68	667	669	622	26	74	11	14	48	6	0	0.00%	5	1	80.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	40.0%	5.9%	90.5%	96.4	Unlucky
10	Rocket	2	0	1	0	1	0	0	5	7	-2	1	0.250	5	9	14	0	0	71	47	46	6	81	667	669	622	26	66	12	13	53	9	2	22.22%	3	0	100.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	30.0%	6.2%	89.4%	95.6	Unlucky
11	Bears	4	1	2	0	0	0	1	8	7	1	3	0.375	8	14	22	0	0	71	47	46	6	150	667	669	622	26	120	42	26	93	12	1	8.33%	12	1	91.67%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	53.8%	5.3%	94.2%	99.5	DULL
12	Wild	1	1	0	0	0	0	0	4	0	4	2	1.000	4	8	12	0	1	71	47	46	6	30	667	669	622	26	26	5	10	28	0	0	0.00%	5	0	100.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	100.0%	13.3%	100.0%	113.3	LUCKY
13	Reign	1	0	1	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	71	47	46	6	51	667	669	622	26	19	4	4	27	8	1	12.50%	1	0	100.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	20.0%	3.9%	78.9%	82.9	Unlucky
14	Admirals	1	1	0	0	0	0	0	4	3	1	2	1.000	4	8	12	0	0	71	47	46	6	39	667	669	622	26	22	5	10	13	6	2	33.33%	5	1	80.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	50.0%	10.3%	86.4%	96.6	FUN
15	Crunch	2	2	0	0	0	0	0	8	6	2	4	1.000	8	16	24	0	0	71	47	46	6	73	667	669	622	26	61	15	10	35	11	2	18.18%	5	1	80.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	54.5%	11.0%	90.2%	101.1	FUN
16	Condors	1	1	0	0	0	0	0	1	0	1	2	1.000	1	2	3	0	1	71	47	46	6	33	667	669	622	26	31	7	12	24	3	0	0.00%	4	0	100.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	100.0%	3.0%	100.0%	103.0	DULL
17	Roadrunners	1	1	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	71	47	46	6	41	667	669	622	26	26	10	4	25	8	1	12.50%	2	0	100.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	60.0%	9.8%	92.3%	102.1	LUCKY
18	Bruins	3	0	3	0	0	0	0	6	11	-5	0	0.000	6	11	17	0	0	71	47	46	6	101	667	669	622	26	104	34	41	88	11	2	18.18%	11	3	72.73%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	33.3%	5.9%	89.4%	95.4	Unlucky
19	Americans	2	0	2	0	0	0	0	6	11	-5	0	0.000	6	10	16	0	0	71	47	46	6	80	667	669	622	26	71	20	22	45	10	0	0.00%	11	3	72.73%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	42.9%	7.5%	84.5%	92.0	Unlucky
20	IceHogs	1	1	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	71	47	46	6	29	667	669	622	26	34	16	12	35	4	2	50.00%	5	1	80.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	66.7%	13.8%	94.1%	107.9	LUCKY
21	Checkers	5	2	3	0	0	0	0	11	13	-2	4	0.400	11	20	31	0	0	71	47	46	6	148	667	669	622	26	161	49	40	136	17	3	17.65%	19	3	84.21%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	44.4%	7.4%	91.9%	99.4	DULL
22	Monsters	2	1	1	0	0	0	0	7	5	2	2	0.500	7	14	21	0	0	71	47	46	6	58	667	669	622	26	55	13	12	65	5	1	20.00%	6	0	100.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	54.5%	12.1%	90.9%	103.0	FUN
23	Moose	1	0	1	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	71	47	46	6	25	667	669	622	26	29	11	4	14	5	1	20.00%	2	0	100.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	20.0%	8.0%	86.2%	94.2	Unlucky
24	Gulls	2	0	2	0	0	0	0	3	7	-4	0	0.000	3	6	9	0	0	71	47	46	6	59	667	669	622	26	77	27	18	37	6	0	0.00%	9	0	100.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	30.0%	5.1%	90.9%	96.0	Unlucky
25	Stars	2	1	1	0	0	0	0	7	7	0	2	0.500	7	12	19	0	0	71	47	46	6	72	667	669	622	26	59	25	22	36	9	3	33.33%	10	3	70.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	50.0%	9.7%	88.1%	97.9	FUN
26	Penguins	4	2	1	0	1	0	0	14	13	1	5	0.625	14	24	38	0	0	71	47	46	6	120	667	669	622	26	145	40	32	77	21	2	9.52%	14	3	78.57%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	54.5%	11.7%	91.0%	102.7	FUN
27	Barracuda	1	1	0	0	0	0	0	5	0	5	2	1.000	5	10	15	0	1	71	47	46	6	28	667	669	622	26	27	13	10	22	1	1	100.00%	5	0	100.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	100.0%	17.9%	100.0%	117.9	LUCKY
28	Silver Knights	1	1	0	0	0	0	0	2	1	1	2	1.000	2	3	5	0	0	71	47	46	6	47	667	669	622	26	23	5	2	26	6	1	16.67%	1	0	100.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	50.0%	4.3%	95.7%	99.9	DULL
29	Firebirds	1	0	0	0	0	1	0	5	4	1	2	1.000	5	7	12	0	0	71	47	46	6	37	667	669	622	26	24	8	2	18	2	0	0.00%	1	0	100.00%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	55.6%	13.5%	83.3%	96.8	FUN
	_Vs Division	18	10	14	1	2	1	1	46	59	-13	27	0.750	46	85	131	0	0	71	47	46	6	603	667	669	622	26	580	151	150	450	68	9	13.24%	57	11	80.70%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	43.5%	7.6%	89.8%	97.5	Unlucky
	_Vs Conference	43	16	20	1	4	1	1	116	122	-6	41	0.477	116	208	324	0	0	71	47	46	6	1413	667	669	622	26	1384	382	379	1024	151	24	15.89%	161	28	82.61%	0	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	49.5%	8.2%	91.2%	99.4	DULL
	_Since Last GM Reset	60	25	26	2	4	2	1	168	165	3	63	0.525	168	303	471	1	3	71	47	46	6	1973	667	669	622	26	1896	559	528	1395	216	37	17.13%	228	38	83.33%	1	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	50.8%	8.5%	91.3%	99.8	DULL
	Total	60	25	26	2	4	2	1	168	165	3	63	0.525	168	303	471	1	3	71	47	46	6	1973	667	669	622	26	1896	559	528	1395	216	37	17.13%	228	38	83.33%	1	1174	2221	52.86%	1129	2142	52.71%	497	949	52.37%	1439	964	1388	463	799	404	50.8%	8.5%	91.3%	99.8	DULL

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	23

	Puck Time
Offensive Zone Start	2221
Neutral Zone Start	949
Defensive Zone Start	2142

	Puck Time
With Puck	30
Without Puck	29

	Faceoffs
Faceoffs Won	2800
Faceoffs Lost	2512

	Team Average Shots after	League Average Shots after
1st Period	11.1	9.57
2nd Period	22.3	20.31
3rd Period	32.6	30.68
Overtime	33.1	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.2	0.64
2nd Period	2.0	1.65
3rd Period	2.7	2.67
Overtime	2.8	2.83


Even Strenght Goal	129
PP Goal	37
PK Goal	1
Empty Net Goal	1

	Home	Away
Win	16	13
Lost	10	16
Overtime Lost	3	2


PP Attempt	216
PP Goal	37
PK Attempt	228
PK Goal Against	38

	Home
Shots For	32.9
Shots Against	31.6
Goals For	2.8
Goals Against	2.8
Hits	23.3
Shots Blocked	9.3
Pim	8.8

Schedule

Date	Matchup			Result	Detail
2025-10-09	Thunderbirds	@	Bruins	Thunderbirds1,Bruins3	RECAP
2025-10-10	Thunderbirds	@	Wolf Pack	Thunderbirds4,Wolf Pack6	RECAP
2025-10-13	Penguins	@	Thunderbirds	Penguins4,Thunderbirds3 (OT)	RECAP
2025-10-15	Thunderbirds	@	Penguins	Thunderbirds3,Penguins2	RECAP
2025-10-16	Wolf Pack	@	Thunderbirds	Wolf Pack2,Thunderbirds3	RECAP
2025-10-18	Thunderbirds	@	Checkers	Thunderbirds2,Checkers3	RECAP
2025-10-19	Thunderbirds	@	Bears	Thunderbirds1,Bears3	RECAP
2025-10-21	Phantoms	@	Thunderbirds	Phantoms4,Thunderbirds2	RECAP
2025-10-24	Islanders	@	Thunderbirds	Islanders2,Thunderbirds3 (SO)	RECAP
2025-10-26	Thunderbirds	@	Phantoms	Thunderbirds1,Phantoms2	RECAP
2025-10-28	Monsters	@	Thunderbirds	Monsters4,Thunderbirds2	RECAP
2025-10-30	Thunderbirds	@	Bruins	Thunderbirds3,Bruins4	RECAP
2025-11-01	Thunderbirds	@	Penguins	Thunderbirds3,Penguins4	RECAP
2025-11-02	Checkers	@	Thunderbirds	Checkers1,Thunderbirds3	RECAP
2025-11-06	Bears	@	Thunderbirds	Bears1,Thunderbirds0 (SO)	RECAP
2025-11-08	Thunderbirds	@	Bears	Thunderbirds0,Bears1	RECAP
2025-11-12	Thunderbirds	@	Stars	Thunderbirds3,Stars2	RECAP
2025-11-14	Crunch	@	Thunderbirds	Crunch3,Thunderbirds4	RECAP
2025-11-16	Thunderbirds	@	Moose	Thunderbirds2,Moose4	RECAP
2025-11-17	Comets	@	Thunderbirds	Comets1,Thunderbirds3	RECAP
2025-11-20	Thunderbirds	@	Phantoms	Thunderbirds4,Phantoms3	RECAP
2025-11-22	Wolf Pack	@	Thunderbirds	Wolf Pack3,Thunderbirds4	RECAP
2025-11-24	Thunderbirds	@	Senators	Thunderbirds4,Senators1	RECAP
2025-11-28	Thunderbirds	@	Islanders	Thunderbirds1,Islanders2	RECAP
2025-11-29	Checkers	@	Thunderbirds	Checkers5,Thunderbirds1	RECAP
2025-12-02	Thunderbirds	@	Gulls	Thunderbirds1,Gulls4	RECAP
2025-12-03	Senators	@	Thunderbirds	Senators3,Thunderbirds2	RECAP
2025-12-08	Bears	@	Thunderbirds	Bears2,Thunderbirds7	RECAP
2025-12-13	Roadrunners	@	Thunderbirds	Roadrunners2,Thunderbirds4	RECAP
2025-12-15	Thunderbirds	@	Reign	Thunderbirds2,Reign4	RECAP
2025-12-17	Griffins	@	Thunderbirds	Griffins3,Thunderbirds1	RECAP
2025-12-20	Thunderbirds	@	Griffins	Thunderbirds3,Griffins4 (OT)	RECAP
2025-12-23	Stars	@	Thunderbirds	Stars5,Thunderbirds4	RECAP
2025-12-26	Thunderbirds	@	Admirals	Thunderbirds4,Admirals3	RECAP
2025-12-28	Barracuda	@	Thunderbirds	Barracuda0,Thunderbirds5	RECAP
2025-12-30	Thunderbirds	@	Comets	Thunderbirds3,Comets1	RECAP
2026-01-01	Thunderbirds	@	Islanders	Thunderbirds2,Islanders3	RECAP
2026-01-02	Gulls	@	Thunderbirds	Gulls3,Thunderbirds2	RECAP
2026-01-06	Rocket	@	Thunderbirds	Rocket5,Thunderbirds4	RECAP
2026-01-08	Thunderbirds	@	Penguins	Thunderbirds5,Penguins3	RECAP
2026-01-10	Thunderbirds	@	Rocket	Thunderbirds1,Rocket2 (OT)	RECAP
2026-01-12	Phantoms	@	Thunderbirds	Phantoms3,Thunderbirds2 (OT)	RECAP
2026-01-16	Silver Knights	@	Thunderbirds	Silver Knights1,Thunderbirds2	RECAP
2026-01-18	Thunderbirds	@	Americans	Thunderbirds2,Americans6	RECAP
2026-01-21	Thunderbirds	@	Condors	Thunderbirds1,Condors0	RECAP
2026-01-22	Eagles	@	Thunderbirds	Eagles4,Thunderbirds2	RECAP
2026-01-27	Wild	@	Thunderbirds	Wild0,Thunderbirds4	RECAP
2026-01-31	Thunderbirds	@	Wolf Pack	Thunderbirds3,Wolf Pack2	RECAP
2026-02-01	IceHogs	@	Thunderbirds	IceHogs2,Thunderbirds4	RECAP
2026-02-04	Americans	@	Thunderbirds	Americans5,Thunderbirds4	RECAP
2026-02-07	Thunderbirds	@	Bruins	Thunderbirds2,Bruins4	RECAP
2026-02-08	Firebirds	@	Thunderbirds	Firebirds4,Thunderbirds5 (SO)	RECAP
2026-02-13	Wolves	@	Thunderbirds	Wolves2,Thunderbirds3	RECAP
2026-02-16	Thunderbirds	@	Wranglers	Thunderbirds4,Wranglers3 (OT)	RECAP
2026-02-18	Islanders	@	Thunderbirds	Islanders2,Thunderbirds3	RECAP
2026-02-20	Thunderbirds	@	Monsters	Thunderbirds5,Monsters1	RECAP
2026-02-22	Thunderbirds	@	Checkers	Thunderbirds3,Checkers1	RECAP
2026-02-24	Islanders	@	Thunderbirds	Islanders2,Thunderbirds3 (OT)	RECAP
2026-02-26	Thunderbirds	@	Crunch	Thunderbirds4,Crunch3	RECAP
2026-03-01	Thunderbirds	@	Checkers	Thunderbirds2,Checkers3	RECAP
2026-03-03	Marlies	@	Thunderbirds
2026-03-05	Canucks	@	Thunderbirds
Trade Deadline --- Trades can�t be done after this day is simulated!
2026-03-09	Thunderbirds	@	Wolf Pack
2026-03-10	Bruins	@	Thunderbirds
2026-03-13	Monsters	@	Thunderbirds
2026-03-14	Thunderbirds	@	Phantoms
2026-03-20	Bruins	@	Thunderbirds
2026-03-23	Thunderbirds	@	Marlies
2026-03-25	Penguins	@	Thunderbirds
2026-03-26	Thunderbirds	@	Bears
2026-03-29	Thunderbirds	@	Marlies
2026-04-03	Penguins	@	Thunderbirds

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,543,833$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Springfield
	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
7	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,543,833$	2,543,833$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
2,379,541$	14,132$	1,976,780$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	47	16,910$	591,850$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
591,850$	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

Travis Barron is suspended for 22 more games.
Robbie Russo is suspended for 22 more games.
Luke Philp is suspended for 22 more games.
Michael Krutil is suspended for 22 more games.
Nicolas Mattinen is suspended for 22 more games.

Game Center

Thunderbirds29-26-5, 63pts

43Final

Crunch36-23-3, 75pts

Thunderbirds29-26-5, 63pts

23Final

Checkers24-28-7, 55pts

Thunderbirds29-26-5, 63pts

Mon, Mar 02

Checkers24-28-7, 55pts

Thunderbirds29-26-5, 63pts

Sat, Oct 11

Wolf Pack24-28-6, 54pts

Penguins26-26-5, 57pts

Tue, Oct 14

Thunderbirds29-26-5, 63pts

TRANSACTIONS

Team Info


	Head Coach	Guy Boucher
	Division	Atlantic
	City	Springfield
	Stadium Capacity	3,000

Thunderbirds Affiliation


	General Manager	Samuel Moisan
	Head Coach	Lindy Ruff
	Stadium	Scottrade Center
	Capacity	18,000

Team Leaders

GOALS Cole Smith Thunderbirds	21 GOALS
POINTS Cole Smith Thunderbirds	43 POINTS
WINS Ken Appleby Thunderbirds	16 WINS
Expanded Player Leaderboard

Team Stats

Goals For 168 2.80 GFG	Goals Against 165 2.75 GAA
Power Play Percentage 17.1% 37 GF	Penalty Kill Percentage 83.3% 38 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain