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	33	74	31	800,000$/2yrs
Glenn Gawdin	42	C/LW	100.00	74	40	68	61	76	70	89	63	77	65	61	66	63	68	65	0	32	73	28	800,000$/2yrs
Tanner Laczynski	9	C	99.00	64	39	84	62	75	71	81	63	68	66	62	66	64	68	67	0	26	73	28	775,000$/1yrs
Juuso Parssinen	0	C/LW	100.00	76	38	88	61	85	72	78	59	75	62	63	60	61	66	65	0	22	72	25	1,250,000$/2yrs
Clark Bishop	0	C	100.00	68	40	77	56	78	67	89	65	78	57	58	68	58	70	68	0	34	71	29	800,000$/2yrs
Cole Smith	64	LW/RW	100.00	83	52	72	55	79	77	84	56	59	58	60	71	58	75	73	0	33	71	30	1,000,000$/1yrs
Brett Berard (R)	0	LW	100.00	74	32	89	60	65	73	75	56	59	57	63	60	59	63	62	0	43	70	23	821,250$/1yrs
Patrick Brown	0	C/RW	100.00	89	33	81	55	82	72	68	50	30	56	50	71	50	81	79	0	30	69	33	800,000$/1yrs
Tyler Pitlick	0	LW/RW	100.00	84	55	79	55	80	68	70	51	30	50	56	62	53	82	80	0	33	68	34	800,000$/2yrs
Lucas Vanroboys	0	C/LW/RW	100.00	99	44	50	54	71	63	82	62	65	52	55	66	54	64	59	0	36	68	26	800,000$/2yrs
Atley Calvert	0	C	100.00	67	39	79	59	75	65	78	58	65	56	60	61	58	57	55	0	36	68	22	800,000$/2yrs
Mark Senden	0	C	100.00	63	39	86	54	75	65	86	63	71	56	54	66	55	66	65	0	36	68	28	800,000$/2yrs
Jacob MacDonald	34	D	100.00	70	40	75	60	79	73	80	56	30	61	66	72	64	75	73	0	33	74	32	800,000$/2yrs
Pavel Mintyukov	0	D	100.00	62	33	97	62	76	81	89	57	30	61	65	75	61	62	61	0	43	74	22	918,333$/1yrs
Jack Ahcan	0	D	99.00	62	38	87	59	68	68	87	55	30	66	53	68	59	68	67	0	33	73	28	800,000$/2yrs
Ben Hutton	0	D	99.00	59	41	85	55	81	79	86	51	30	62	67	56	59	80	78	0	33	72	32	1,000,000$/2yrs
Nick DeSimone	57	D	100.00	62	32	97	55	75	80	72	50	30	62	60	53	55	77	77	0	33	71	31	1,250,000$/2yrs
Ben Gleason	6	D	100.00	64	39	85	55	75	66	81	53	30	62	52	67	57	66	65	0	23	70	27	800,000$/2yrs
Andreas Englund	0	D	100.00	82	73	54	55	77	77	72	50	30	55	55	64	52	75	70	0	37	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$/3yrs
Tate Singleton	0	LW	100.00	77	40	62	51	66	62	72	63	46	51	52	67	52	66	62	0	29	66	27	800,000$/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	32	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	28	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	35	77	31	1,000,000$/1yrs
Ken Appleby	0	100.00	67	65	68	89	59	78	70	67	78	75	71	72	72	0	28	76	30	800,000$/2yrs
Scratches
Samuel Hlavaj	0	100.00	70	74	68	96	48	75	70	70	75	75	71	62	62	0	31	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	PKP	PKM	GW	GT	FO%	FOT	TA	EG	HT	P/20	PSG	PSS
1	Cole Smith	Thunderbirds (STL)	LW/RW	51	13	21	34	-4	51	5	138	174	39	117	7.47%	21	19.99	2	9	11	149	0	45	1	1	50.00%	66	0	0	0	0.67	0	2
2	Clark Bishop	Thunderbirds (STL)	C	51	20	10	30	-7	17	5	46	165	40	122	12.12%	15	18.36	6	2	8	145	0	94	5	0	58.81%	1197	0	0	0	0.64	0	1
3	Tanner Laczynski	Thunderbirds (STL)	C	46	14	15	29	1	2	0	17	130	36	127	10.77%	16	20.02	5	7	12	120	0	157	2	1	45.54%	1300	0	1	1	0.63	0	1
4	Pavel Mintyukov	Thunderbirds (STL)	D	35	5	24	29	-2	24	0	53	80	28	60	6.25%	35	19.55	4	8	12	110	0	2	1	0	0.00%	0	0	0	0	0.85	0	0
5	Glenn Gawdin	Thunderbirds (STL)	C/LW	51	13	15	28	-4	16	0	50	156	31	104	8.33%	11	17.15	0	2	2	52	0	58	1	2	42.13%	394	0	0	0	0.64	0	2
6	Brendan Gaunce	Thunderbirds (STL)	C/LW	51	8	18	26	-6	22	0	54	162	42	108	4.94%	18	19.90	5	4	9	155	0	142	1	0	68.00%	75	0	0	0	0.51	0	0
7	Jack Ahcan	Thunderbirds (STL)	D	51	8	16	24	3	40	0	95	78	14	38	10.26%	81	21.01	4	4	8	151	0	138	2	0	0.00%	0	0	0	0	0.45	0	0
8	Patrick Brown	Thunderbirds (STL)	C/RW	51	5	18	23	-3	17	5	70	68	26	59	7.35%	8	13.23	2	6	8	162	0	67	1	0	60.78%	51	0	0	0	0.68	0	0
9	Ben Hutton	Thunderbirds (STL)	D	51	4	18	22	-3	28	0	58	63	9	28	6.35%	58	25.07	3	7	10	164	0	163	0	0	0.00%	0	0	0	0	0.34	0	0
10	Nick DeSimone	Thunderbirds (STL)	D	51	5	16	21	3	22	0	51	50	14	25	10.00%	54	21.11	2	5	7	153	0	143	0	0	0.00%	0	0	0	0	0.39	0	0
11	Lucas Vanroboys	Thunderbirds (STL)	C/LW/RW	51	9	11	20	-3	56	0	133	105	29	67	8.57%	5	13.01	0	0	0	5	0	0	1	0	28.26%	46	0	0	0	0.60	0	0
12	Tyler Pitlick	Thunderbirds (STL)	LW/RW	51	5	12	17	1	26	0	100	88	32	63	5.68%	6	18.52	0	5	5	158	0	78	1	0	50.75%	201	0	0	0	0.36	1	1
13	Atley Calvert	Thunderbirds (STL)	C	51	5	12	17	1	6	0	12	93	30	60	5.38%	4	12.74	0	0	0	20	0	0	0	0	52.84%	776	0	0	0	0.52	1	1
14	Jacob MacDonald	Thunderbirds (STL)	D	51	6	10	16	-6	34	0	95	65	19	48	9.23%	59	19.50	1	1	2	58	0	162	0	1	0.00%	0	0	0	0	0.32	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	1	0	56.52%	23	0	0	0	0.55	0	0
16	Brett Berard	Thunderbirds (STL)	LW	36	1	9	10	2	14	0	36	68	15	49	1.47%	4	16.49	0	0	0	18	0	81	0	0	55.06%	158	0	0	0	0.34	1	2
17	Mark Senden	Thunderbirds (STL)	C	51	2	7	9	3	2	0	6	35	17	42	5.71%	4	6.41	0	0	0	0	0	20	0	0	59.59%	386	0	0	0	0.55	0	0
18	Andreas Englund	Thunderbirds (STL)	D	51	1	7	8	-7	55	15	130	26	8	21	3.85%	40	14.19	0	1	1	10	0	44	1	0	0.00%	0	0	0	0	0.22	0	0
19	Juuso Parssinen	Thunderbirds (STL)	C/LW	15	2	1	3	1	0	0	0	11	3	4	18.18%	2	4.74	0	0	0	1	0	0	1	0	60.00%	5	0	0	0	0.84	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	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	4	0	0	0.00%	0	0	0	0	0.58	0	0
22	Ben Gleason	Thunderbirds (STL)	D	5	0	1	1	1	0	0	1	0	0	0	0.00%	0	0.57	0	0	0	0	0	1	0	0	0.00%	0	0	0	0	7.02	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	0.00%	0	0	0	0	0.00	0	0
Team Total or Average			961	136	252	388	-32	462	30	1213	1728	459	1227	7.87%	456	15.92	34	61	95	1642	0	1411	20	5	51.94%	4690	0	1	1	0.51	4	11

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	5	4	3	2
2	Marcus Hogberg	Thunderbirds (STL)	5	3	2	0	0.925	2.61	299	0	1	13	173	0	0	0	0.000	0	5	18	1	1	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		53	21	25	5	0.913	2.78	3069	8	4	142	1627	0	2	1	0.667	9	51	51	5	4	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	28	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	32	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	32	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	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%	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	4	1	2	1	0	0	9	12	-3	3	0.375	9	15	24	0	0	60	41	34	3	99	563	574	530	13	148	53	54	109	13	3	23.08%	26	5	80.77%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	46.2%	9.1%	91.9%	101.0	LUCKY
2	Comets	2	2	0	0	0	0	6	2	4	4	1.000	6	10	16	0	0	60	41	34	3	77	563	574	530	13	61	13	18	46	6	0	0.00%	9	1	88.89%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	85.7%	7.8%	96.7%	104.5	DULL
3	Senators	2	1	1	0	0	0	6	4	2	2	0.500	6	12	18	0	0	60	41	34	3	52	563	574	530	13	43	10	10	45	4	0	0.00%	3	0	100.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	60.0%	11.5%	90.7%	102.2	FUN
4	Islanders	3	0	2	0	1	0	6	7	-1	2	0.333	6	9	15	0	0	60	41	34	3	88	563	574	530	13	84	16	12	59	8	1	12.50%	6	2	66.67%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	50.0%	6.8%	91.7%	98.5	DULL
5	Eagles	1	0	1	0	0	0	2	4	-2	0	0.000	2	4	6	1	0	60	41	34	3	20	563	574	530	13	32	10	17	22	1	0	0.00%	7	2	71.43%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	50.0%	10.0%	87.5%	97.5	FUN
6	Wolf Pack	4	3	1	0	0	0	14	13	1	6	0.750	14	27	41	0	0	60	41	34	3	144	563	574	530	13	142	35	53	79	14	6	42.86%	22	4	81.82%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	47.1%	9.7%	90.8%	100.6	FUN
7	Griffins	2	0	1	1	0	0	4	7	-3	1	0.250	4	7	11	0	0	60	41	34	3	68	563	574	530	13	74	11	14	48	6	0	0.00%	5	1	80.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	40.0%	5.9%	90.5%	96.4	Unlucky
8	Rocket	2	0	1	1	0	0	5	7	-2	1	0.250	5	9	14	0	0	60	41	34	3	81	563	574	530	13	66	12	13	53	9	2	22.22%	3	0	100.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	30.0%	6.2%	89.4%	95.6	Unlucky
9	Bears	4	1	2	0	0	1	8	7	1	3	0.375	8	14	22	0	0	60	41	34	3	150	563	574	530	13	120	42	26	93	12	1	8.33%	12	1	91.67%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	53.8%	5.3%	94.2%	99.5	DULL
10	Wild	1	1	0	0	0	0	4	0	4	2	1.000	4	8	12	0	1	60	41	34	3	30	563	574	530	13	26	5	10	28	0	0	0.00%	5	0	100.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	100.0%	13.3%	100.0%	113.3	LUCKY
11	Reign	1	0	1	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	60	41	34	3	51	563	574	530	13	19	4	4	27	8	1	12.50%	1	0	100.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	20.0%	3.9%	78.9%	82.9	Unlucky
12	Admirals	1	1	0	0	0	0	4	3	1	2	1.000	4	8	12	0	0	60	41	34	3	39	563	574	530	13	22	5	10	13	6	2	33.33%	5	1	80.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	50.0%	10.3%	86.4%	96.6	FUN
13	Crunch	1	1	0	0	0	0	4	3	1	2	1.000	4	8	12	0	0	60	41	34	3	36	563	574	530	13	34	9	4	15	6	2	33.33%	2	1	50.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	50.0%	11.1%	91.2%	102.3	LUCKY
14	Condors	1	1	0	0	0	0	1	0	1	2	1.000	1	2	3	0	1	60	41	34	3	33	563	574	530	13	31	7	12	24	3	0	0.00%	4	0	100.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	100.0%	3.0%	100.0%	103.0	DULL
15	Roadrunners	1	1	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	60	41	34	3	41	563	574	530	13	26	10	4	25	8	1	12.50%	2	0	100.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	60.0%	9.8%	92.3%	102.1	LUCKY
16	Bruins	3	0	3	0	0	0	6	11	-5	0	0.000	6	11	17	0	0	60	41	34	3	101	563	574	530	13	104	34	41	88	11	2	18.18%	11	3	72.73%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	33.3%	5.9%	89.4%	95.4	Unlucky
17	Americans	2	0	2	0	0	0	6	11	-5	0	0.000	6	10	16	0	0	60	41	34	3	80	563	574	530	13	71	20	22	45	10	0	0.00%	11	3	72.73%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	42.9%	7.5%	84.5%	92.0	Unlucky
18	IceHogs	1	1	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	60	41	34	3	29	563	574	530	13	34	16	12	35	4	2	50.00%	5	1	80.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	66.7%	13.8%	94.1%	107.9	LUCKY
19	Checkers	3	1	2	0	0	0	6	9	-3	2	0.333	6	10	16	0	0	60	41	34	3	77	563	574	530	13	101	30	28	85	11	3	27.27%	14	2	85.71%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	30.0%	7.8%	91.1%	98.9	Unlucky
20	Monsters	1	0	1	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	60	41	34	3	24	563	574	530	13	30	6	4	30	4	0	0.00%	2	0	100.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	33.3%	8.3%	86.7%	95.0	Unlucky
21	Moose	1	0	1	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	60	41	34	3	25	563	574	530	13	29	11	4	14	5	1	20.00%	2	0	100.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	20.0%	8.0%	86.2%	94.2	Unlucky
22	Gulls	2	0	2	0	0	0	3	7	-4	0	0.000	3	6	9	0	0	60	41	34	3	59	563	574	530	13	77	27	18	37	6	0	0.00%	9	0	100.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	30.0%	5.1%	90.9%	96.0	Unlucky
23	Stars	2	1	1	0	0	0	7	7	0	2	0.500	7	12	19	0	0	60	41	34	3	72	563	574	530	13	59	25	22	36	9	3	33.33%	10	3	70.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	50.0%	9.7%	88.1%	97.9	FUN
24	Penguins	4	2	1	1	0	0	14	13	1	5	0.625	14	24	38	0	0	60	41	34	3	120	563	574	530	13	145	40	32	77	21	2	9.52%	14	3	78.57%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	54.5%	11.7%	91.0%	102.7	FUN
25	Barracuda	1	1	0	0	0	0	5	0	5	2	1.000	5	10	15	0	1	60	41	34	3	28	563	574	530	13	27	13	10	22	1	1	100.00%	5	0	100.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	100.0%	17.9%	100.0%	117.9	LUCKY
26	Silver Knights	1	1	0	0	0	0	2	1	1	2	1.000	2	3	5	0	0	60	41	34	3	47	563	574	530	13	23	5	2	26	6	1	16.67%	1	0	100.00%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	50.0%	4.3%	95.7%	99.9	DULL
	_Vs Division	15	8	13	2	1	1	37	52	-15	21	0.700	37	67	104	0	0	60	41	34	3	495	563	574	530	13	493	126	132	379	57	9	15.79%	49	10	79.59%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	40.0%	7.5%	89.5%	96.9	Unlucky
	_Vs Conference	37	12	19	4	1	1	96	110	-14	31	0.419	96	170	266	0	0	60	41	34	3	1197	563	574	530	13	1223	331	331	872	135	22	16.30%	140	26	81.43%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	46.8%	8.0%	91.0%	99.0	Unlucky
	_Since Last GM Reset	51	20	25	4	1	1	136	144	-8	47	0.461	136	245	381	1	3	60	41	34	3	1671	563	574	530	13	1628	469	456	1181	192	34	17.71%	196	33	83.16%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	47.9%	8.1%	91.2%	99.3	DULL
	Total	51	20	25	4	1	1	136	144	-8	47	0.461	136	245	381	1	3	60	41	34	3	1671	563	574	530	13	1628	469	456	1181	192	34	17.71%	196	33	83.16%	993	1895	52.40%	950	1833	51.83%	411	807	50.93%	1221	820	1178	394	676	340	47.9%	8.1%	91.2%	99.3	DULL

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	23

	Puck Time
Offensive Zone Start	1895
Neutral Zone Start	807
Defensive Zone Start	1833

	Puck Time
With Puck	30
Without Puck	29

	Faceoffs
Faceoffs Won	2354
Faceoffs Lost	2181

	Team Average Shots after	League Average Shots after
1st Period	11.0	9.57
2nd Period	22.3	20.31
3rd Period	32.7	30.68
Overtime	32.9	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	2.6	2.67
Overtime	2.7	2.83


Even Strenght Goal	101
PP Goal	34
PK Goal	0
Empty Net Goal	1

	Home	Away
Win	12	9
Lost	10	15
Overtime Lost	3	2


PP Attempt	192
PP Goal	34
PK Attempt	196
PK Goal Against	33

	Home
Shots For	32.8
Shots Against	31.9
Goals For	2.7
Goals Against	2.8
Hits	23.2
Shots Blocked	9.2
Pim	8.9

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
2026-02-13	Wolves	@	Thunderbirds
2026-02-16	Thunderbirds	@	Wranglers
2026-02-18	Islanders	@	Thunderbirds
2026-02-20	Thunderbirds	@	Monsters
2026-02-22	Thunderbirds	@	Checkers
2026-02-24	Islanders	@	Thunderbirds
2026-02-26	Thunderbirds	@	Crunch
2026-03-01	Thunderbirds	@	Checkers
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
11	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
2,007,521$	14,132$	1,665,876$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	69	16,910$	963,870$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
963,870$	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 31 more games.
Robbie Russo is suspended for 31 more games.
Luke Philp is suspended for 31 more games.
Michael Krutil is suspended for 31 more games.
Nicolas Mattinen is suspended for 31 more games.

Game Center

Americans30-18-5, 65pts

54Final

Thunderbirds21-25-5, 47pts

24Final

Bruins26-21-3, 55pts

Thunderbirds21-25-5, 47pts

Sun, Feb 08

Bruins26-21-3, 55pts

Thunderbirds21-25-5, 47pts

Sat, Oct 11

Wolf Pack20-25-6, 46pts

Penguins22-24-4, 48pts

Tue, Oct 14

Thunderbirds21-25-5, 47pts

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 Clark Bishop Thunderbirds	20 GOALS
POINTS Cole Smith Thunderbirds	34 POINTS
WINS Ken Appleby Thunderbirds	16 WINS
Expanded Player Leaderboard

Team Stats

Goals For 136 2.67 GFG	Goals Against 144 2.82 GAA
Power Play Percentage 17.7% 34 GF	Penalty Kill Percentage 83.2% 33 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain