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	98.00	80	34	78	57	87	74	77	60	82	61	61	80	61	79	76	0	52	74	32	800,000$/2yrs
Glenn Gawdin	42	C/LW	98.00	74	40	68	61	76	70	89	63	77	65	61	66	63	68	65	0	53	73	29	800,000$/2yrs
Tanner Laczynski	9	C	99.00	64	39	84	62	75	71	81	63	68	66	62	66	64	68	67	0	47	73	28	775,000$/1yrs
Oliver Moore (R)	0	C	100.00	62	32	91	64	72	76	83	59	61	65	62	58	60	59	58	0	37	72	21	895,000$/3yrs
Clark Bishop	0	C	100.00	68	40	77	56	78	67	89	65	78	57	58	68	58	70	68	0	55	71	30	800,000$/2yrs
Cole Smith	64	LW/RW	100.00	83	52	72	55	79	77	84	56	59	58	60	71	58	75	73	0	54	71	30	1,000,000$/1yrs
Brett Berard (R)	0	LW	99.00	74	32	89	60	65	73	75	56	59	57	63	60	59	63	62	0	64	70	23	821,250$/1yrs
Patrick Brown	0	C/RW	99.00	89	33	81	55	82	72	68	50	30	56	50	71	50	81	79	0	51	69	33	800,000$/1yrs
Tyler Pitlick	0	LW/RW	100.00	84	55	79	55	80	68	70	51	30	50	56	62	53	82	80	0	54	68	34	800,000$/2yrs
Lucas Vanroboys	0	C/LW/RW	100.00	99	44	50	54	71	63	82	62	65	52	55	66	54	64	59	0	57	68	26	800,000$/2yrs
Atley Calvert	0	C	100.00	67	39	79	59	75	65	78	58	65	56	60	61	58	57	55	0	57	68	22	800,000$/2yrs
Mark Senden	0	C	100.00	63	39	86	54	75	65	86	63	71	56	54	66	55	66	65	0	57	68	28	800,000$/2yrs
Jacob MacDonald	34	D	98.00	70	40	75	60	79	73	80	56	30	61	66	72	64	75	73	0	54	74	33	800,000$/2yrs
Pavel Mintyukov	0	D	100.00	62	33	97	62	76	81	89	57	30	61	65	75	61	62	61	0	64	74	22	918,333$/1yrs
Jack Ahcan	0	D	100.00	62	38	87	59	68	68	87	55	30	66	53	68	59	68	67	0	54	73	28	800,000$/2yrs
Ben Hutton	0	D	100.00	59	41	85	55	81	79	86	51	30	62	67	56	59	80	78	0	53	72	32	1,000,000$/2yrs
Nick DeSimone	57	D	100.00	62	32	97	55	75	80	72	50	30	62	60	53	55	77	77	0	54	71	31	1,250,000$/2yrs
Ben Gleason	6	D	100.00	64	39	85	55	75	66	81	53	30	62	52	67	57	66	65	0	43	70	28	800,000$/2yrs
Andreas Englund	0	D	100.00	82	73	54	55	77	77	72	50	30	55	55	64	52	75	70	0	58	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$/2yrs
Steven Santini	38	D	100.00	61	39	89	50	82	66	84	49	30	56	53	70	54	71	70	0	20	68	31	800,000$/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$/2yrs
Nicolas Mattinen	0	D	100.00	62	40	87	50	88	63	70	48	30	55	50	67	53	66	65	0	20	67	28	800,000$/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	97.00	75	68	68	91	67	66	70	73	70	76	70	76	80	0	59	77	31	1,000,000$/1yrs
Ken Appleby	0	100.00	67	65	68	89	59	78	70	67	78	75	71	72	72	0	54	76	30	800,000$/2yrs
Scratches
Samuel Hlavaj	0	100.00	70	74	68	96	48	75	70	70	75	75	71	62	62	0	21	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	Tanner Laczynski	Thunderbirds (STL)	C	67	21	30	51	3	2	0	24	197	65	185	10.66%	21	20.19	6	10	16	171	0	1	1	208	3	2	48.49%	1885	0	1	1	0.75	0	3
2	Cole Smith	Thunderbirds (STL)	LW/RW	72	24	25	49	1	65	5	192	244	54	164	9.84%	29	19.81	4	9	13	205	0	0	0	46	5	2	48.91%	92	0	0	0	0.69	1	3
3	Brendan Gaunce	Thunderbirds (STL)	C/LW	72	20	27	47	0	32	0	92	251	67	164	7.97%	26	20.57	6	7	13	208	1	0	1	204	3	3	67.18%	390	0	0	1	0.63	0	1
4	Pavel Mintyukov	Thunderbirds (STL)	D	56	9	38	47	14	26	0	70	121	44	85	7.44%	61	19.48	5	10	15	164	0	0	0	25	2	0	0.00%	0	0	0	0	0.86	0	0
5	Glenn Gawdin	Thunderbirds (STL)	C/LW	72	16	27	43	4	30	0	80	219	49	152	7.31%	15	17.59	0	4	4	82	0	0	0	88	1	2	43.57%	420	0	0	0	0.68	0	3
6	Clark Bishop	Thunderbirds (STL)	C	72	21	15	36	-8	19	5	53	205	43	165	10.24%	16	16.67	6	3	9	171	0	0	0	122	5	0	58.87%	1500	0	0	0	0.60	0	1
7	Jack Ahcan	Thunderbirds (STL)	D	72	11	25	36	0	48	0	125	104	21	51	10.58%	110	20.99	5	4	9	202	0	0	0	188	3	0	0.00%	0	0	0	0	0.48	0	0
8	Ben Hutton	Thunderbirds (STL)	D	72	7	28	35	6	38	0	89	83	12	36	8.43%	82	24.48	4	9	13	216	0	1	1	213	1	1	0.00%	0	0	0	0	0.40	0	0
9	Patrick Brown	Thunderbirds (STL)	C/RW	72	9	23	32	-3	23	5	118	99	35	84	9.09%	16	13.79	3	7	10	214	0	0	0	87	2	0	50.00%	74	0	0	0	0.64	0	0
10	Lucas Vanroboys	Thunderbirds (STL)	C/LW/RW	72	13	17	30	7	86	0	202	149	40	104	8.72%	8	13.40	0	0	0	7	0	0	0	0	2	0	33.87%	62	0	0	0	0.62	0	0
11	Jacob MacDonald	Thunderbirds (STL)	D	72	8	20	28	5	46	0	130	93	29	66	8.60%	84	20.13	2	2	4	84	0	0	0	216	0	1	0.00%	0	0	0	0	0.39	1	1
12	Tyler Pitlick	Thunderbirds (STL)	LW/RW	72	7	19	26	1	32	0	128	111	45	83	6.31%	7	18.13	0	6	6	184	0	0	0	96	2	0	49.32%	221	0	0	0	0.40	1	1
13	Atley Calvert	Thunderbirds (STL)	C	72	10	15	25	8	6	0	12	124	38	73	8.06%	5	11.16	0	0	0	21	0	0	0	0	0	1	52.24%	938	0	0	0	0.62	1	1
14	Nick DeSimone	Thunderbirds (STL)	D	72	5	19	24	-1	34	0	78	61	19	33	8.20%	69	20.31	2	5	7	181	0	0	0	170	0	0	0.00%	0	0	0	0	0.33	0	0
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	Brett Berard	Thunderbirds (STL)	LW	57	2	13	15	3	18	0	47	86	21	61	2.33%	4	13.84	0	0	0	40	0	0	0	81	0	0	55.62%	169	0	0	0	0.38	1	2
17	Andreas Englund	Thunderbirds (STL)	D	72	1	9	10	-5	67	15	164	34	11	23	2.94%	49	12.93	0	1	1	13	0	0	0	56	1	0	0.00%	0	0	0	0	0.21	0	0
18	Mark Senden	Thunderbirds (STL)	C	72	2	8	10	2	2	0	7	40	19	54	5.00%	5	5.67	0	0	0	1	0	0	0	20	0	0	58.39%	471	0	0	0	0.49	0	0
19	Oliver Moore	Thunderbirds (STL)	C	33	3	3	6	3	0	0	1	31	8	20	9.68%	4	5.71	0	0	0	6	0	0	0	9	1	0	51.05%	190	0	0	0	0.64	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	Ben Gleason	Thunderbirds (STL)	D	26	0	2	2	1	8	0	21	5	2	2	0.00%	18	6.27	0	0	0	1	0	0	0	8	0	0	0.00%	0	0	0	0	0.25	0	0
22	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
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			1357	199	374	573	38	612	30	1701	2368	649	1690	8.40%	644	15.71	43	77	120	2183	1	2	3	1852	33	12	53.11%	6447	0	1	2	0.54	5	16

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	Marcus Hogberg	Thunderbirds (STL)	26	18	7	1	0.914	2.55	1577	0	1	67	782	0	0	0	0.800	5	26	18	1	3	0
2	Ken Appleby	Thunderbirds (STL)	41	16	20	5	0.910	2.84	2411	4	3	114	1266	0	1	1	0.667	9	41	26	4	3	2
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		74	36	30	6	0.912	2.71	4347	8	4	196	2236	0	2	1	0.714	14	72	72	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	28	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	32	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	30	800,000$	800,000$	800,000$	UFA
Cole Smith	LW/RW	30	1,000,000$	1,000,000$	UFA
Glenn Gawdin	C/LW	29	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
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	28	800,000$	800,000$	800,000$	UFA
Oliver Moore	C	21	895,000$	895,000$	895,000$	895,000$	RFA
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	31	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	# - Brendan Gaunce	# - Cole Smith
# - Brett Berard	# - Tanner Laczynski	# - Patrick Brown
# - Tyler Pitlick	# - Oliver Moore	# - Lucas Vanroboys
# - Brendan Gaunce	# - Clark Bishop	# - Glenn Gawdin

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

1st Power Play Unit
# - Glenn Gawdin		# - Brendan Gaunce		# - Cole Smith
# - Jacob MacDonald			# - Pavel Mintyukov

2nd Power Play Unit
# - Brett Berard		# - Tanner Laczynski		# - Patrick Brown
# - Jack Ahcan			# - Ben Hutton

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	79	62	59	7	24	790	792	741	36	43	16	12	16	0	0	0.00%	5	2	60.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	80.0%	16.7%	93.0%	109.7	LUCKY
2	Phantoms	5	1	2	0	1	0	1	11	15	-4	4	0.400	11	19	30	0	0	79	62	59	7	133	790	792	741	36	175	66	62	131	14	3	21.43%	30	5	83.33%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	44.4%	8.3%	91.4%	99.7	DULL
3	Comets	2	2	0	0	0	0	0	6	2	4	4	1.000	6	10	16	0	0	79	62	59	7	77	790	792	741	36	61	13	18	46	6	0	0.00%	9	1	88.89%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	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	79	62	59	7	52	790	792	741	36	43	10	10	45	4	0	0.00%	3	0	100.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	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	79	62	59	7	162	790	792	741	36	133	35	34	105	12	2	16.67%	15	3	80.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	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	79	62	59	7	25	790	792	741	36	40	15	10	28	6	1	16.67%	5	1	80.00%	1	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	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	79	62	59	7	20	790	792	741	36	32	10	17	22	1	0	0.00%	7	2	71.43%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	50.0%	10.0%	87.5%	97.5	FUN
8	Wolf Pack	5	4	1	0	0	0	0	20	16	4	8	0.800	20	39	59	0	0	79	62	59	7	183	790	792	741	36	156	40	53	91	19	7	36.84%	22	4	81.82%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	52.0%	10.9%	89.7%	100.7	FUN
9	Griffins	2	0	1	0	1	0	0	4	7	-3	1	0.250	4	7	11	0	0	79	62	59	7	68	790	792	741	36	74	11	14	48	6	0	0.00%	5	1	80.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	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	79	62	59	7	81	790	792	741	36	66	12	13	53	9	2	22.22%	3	0	100.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	30.0%	6.2%	89.4%	95.6	Unlucky
11	Bears	5	1	2	1	0	0	1	12	10	2	5	0.500	12	22	34	0	0	79	62	59	7	182	790	792	741	36	157	49	32	116	16	2	12.50%	15	2	86.67%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	55.6%	6.6%	93.6%	100.2	DULL
12	Wild	1	1	0	0	0	0	0	4	0	4	2	1.000	4	8	12	0	1	79	62	59	7	30	790	792	741	36	26	5	10	28	0	0	0.00%	5	0	100.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	100.0%	13.3%	100.0%	113.3	LUCKY
13	Canucks	1	0	1	0	0	0	0	0	3	-3	0	0.000	0	0	0	0	0	79	62	59	7	24	790	792	741	36	21	8	8	27	6	0	0.00%	4	1	75.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	0.0%	0.0%	85.7%	85.7	Unlucky
14	Reign	1	0	1	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	79	62	59	7	51	790	792	741	36	19	4	4	27	8	1	12.50%	1	0	100.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	20.0%	3.9%	78.9%	82.9	Unlucky
15	Admirals	1	1	0	0	0	0	0	4	3	1	2	1.000	4	8	12	0	0	79	62	59	7	39	790	792	741	36	22	5	10	13	6	2	33.33%	5	1	80.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	50.0%	10.3%	86.4%	96.6	FUN
16	Crunch	2	2	0	0	0	0	0	8	6	2	4	1.000	8	16	24	0	0	79	62	59	7	73	790	792	741	36	61	15	10	35	11	2	18.18%	5	1	80.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	54.5%	11.0%	90.2%	101.1	FUN
17	Condors	1	1	0	0	0	0	0	1	0	1	2	1.000	1	2	3	0	1	79	62	59	7	33	790	792	741	36	31	7	12	24	3	0	0.00%	4	0	100.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	100.0%	3.0%	100.0%	103.0	DULL
18	Roadrunners	1	1	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	79	62	59	7	41	790	792	741	36	26	10	4	25	8	1	12.50%	2	0	100.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	60.0%	9.8%	92.3%	102.1	LUCKY
19	Bruins	5	2	3	0	0	0	0	16	16	0	4	0.400	16	31	47	0	0	79	62	59	7	164	790	792	741	36	163	55	51	136	12	2	16.67%	16	5	68.75%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	56.0%	9.8%	90.2%	99.9	FUN
20	Americans	2	0	2	0	0	0	0	6	11	-5	0	0.000	6	10	16	0	0	79	62	59	7	80	790	792	741	36	71	20	22	45	10	0	0.00%	11	3	72.73%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	42.9%	7.5%	84.5%	92.0	Unlucky
21	IceHogs	1	1	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	79	62	59	7	29	790	792	741	36	34	16	12	35	4	2	50.00%	5	1	80.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	66.7%	13.8%	94.1%	107.9	LUCKY
22	Checkers	5	2	3	0	0	0	0	11	13	-2	4	0.400	11	20	31	0	0	79	62	59	7	148	790	792	741	36	161	49	40	136	17	3	17.65%	19	3	84.21%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	44.4%	7.4%	91.9%	99.4	DULL
23	Monsters	3	2	1	0	0	0	0	9	6	3	4	0.667	9	18	27	0	0	79	62	59	7	82	790	792	741	36	72	16	16	82	7	1	14.29%	7	0	100.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	57.1%	11.0%	91.7%	102.6	LUCKY
24	Moose	1	0	1	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	79	62	59	7	25	790	792	741	36	29	11	4	14	5	1	20.00%	2	0	100.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	20.0%	8.0%	86.2%	94.2	Unlucky
25	Gulls	2	0	2	0	0	0	0	3	7	-4	0	0.000	3	6	9	0	0	79	62	59	7	59	790	792	741	36	77	27	18	37	6	0	0.00%	9	0	100.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	30.0%	5.1%	90.9%	96.0	Unlucky
26	Stars	2	1	1	0	0	0	0	7	7	0	2	0.500	7	12	19	0	0	79	62	59	7	72	790	792	741	36	59	25	22	36	9	3	33.33%	10	3	70.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	50.0%	9.7%	88.1%	97.9	FUN
27	Marlies	3	1	2	0	0	0	0	6	10	-4	2	0.333	6	10	16	0	0	79	62	59	7	85	790	792	741	36	106	25	30	72	11	4	36.36%	14	3	78.57%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	22.2%	7.1%	90.6%	97.6	Unlucky
28	Penguins	6	3	2	0	1	0	0	21	19	2	7	0.583	21	35	56	0	0	79	62	59	7	191	790	792	741	36	205	58	44	130	26	2	7.69%	18	3	83.33%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	54.3%	11.0%	90.7%	101.7	FUN
29	Barracuda	1	1	0	0	0	0	0	5	0	5	2	1.000	5	10	15	0	1	79	62	59	7	28	790	792	741	36	27	13	10	22	1	1	100.00%	5	0	100.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	100.0%	17.9%	100.0%	117.9	LUCKY
30	Silver Knights	1	1	0	0	0	0	0	2	1	1	2	1.000	2	3	5	0	0	79	62	59	7	47	790	792	741	36	23	5	2	26	6	1	16.67%	1	0	100.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	50.0%	4.3%	95.7%	99.9	DULL
31	Firebirds	1	0	0	0	0	1	0	5	4	1	2	1.000	5	7	12	0	0	79	62	59	7	37	790	792	741	36	24	8	2	18	2	0	0.00%	1	0	100.00%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	55.6%	13.5%	83.3%	96.8	FUN
	_Vs Division	23	14	15	2	2	1	2	62	74	-12	38	0.826	62	115	177	0	0	79	62	59	7	751	790	792	741	36	745	197	190	570	80	13	16.25%	76	16	78.95%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	45.8%	8.3%	90.1%	98.3	Unlucky
	_Vs Conference	54	22	23	2	4	1	2	153	153	0	56	0.519	153	277	430	0	0	79	62	59	7	1761	790	792	741	36	1704	474	449	1271	180	30	16.67%	192	34	82.29%	0	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	50.8%	8.7%	91.0%	99.7	Unlucky
	_Since Last GM Reset	72	31	30	3	4	2	2	205	199	6	78	0.542	205	372	577	1	3	79	62	59	7	2345	790	792	741	36	2237	659	606	1669	251	43	17.13%	263	45	82.89%	1	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	51.3%	8.7%	91.1%	99.8	Unlucky
	Total	72	31	30	3	4	2	2	205	199	6	78	0.542	205	372	577	1	3	79	62	59	7	2345	790	792	741	36	2237	659	606	1669	251	43	17.13%	263	45	82.89%	1	1396	2610	53.49%	1345	2514	53.50%	603	1141	52.85%	1731	1161	1657	557	966	490	51.3%	8.7%	91.1%	99.8	Unlucky

	Puck Time
Offensive Zone	24
Neutral Zone	13
Defensive Zone	23

	Puck Time
Offensive Zone Start	2610
Neutral Zone Start	1141
Defensive Zone Start	2514

	Puck Time
With Puck	30
Without Puck	29

	Faceoffs
Faceoffs Won	3344
Faceoffs Lost	2921

	Team Average Shots after	League Average Shots after
1st Period	11.0	9.57
2nd Period	22.0	20.31
3rd Period	32.3	30.68
Overtime	32.8	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.1	0.64
2nd Period	2.0	1.65
3rd Period	2.8	2.67
Overtime	2.9	2.83


Even Strenght Goal	160
PP Goal	43
PK Goal	1
Empty Net Goal	1

	Home	Away
Win	20	16
Lost	13	17
Overtime Lost	3	3


PP Attempt	251
PP Goal	43
PK Attempt	263
PK Goal Against	45

	Home
Shots For	32.6
Shots Against	31.1
Goals For	2.8
Goals Against	2.8
Hits	23.2
Shots Blocked	9.2
Pim	8.4

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	Marlies4,Thunderbirds1	RECAP
2026-03-05	Canucks	@	Thunderbirds	Canucks3,Thunderbirds0	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
2026-03-09	Thunderbirds	@	Wolf Pack	Thunderbirds6,Wolf Pack3	RECAP
2026-03-10	Bruins	@	Thunderbirds	Bruins3,Thunderbirds5	RECAP
2026-03-13	Monsters	@	Thunderbirds	Monsters1,Thunderbirds2	RECAP
2026-03-14	Thunderbirds	@	Phantoms	Thunderbirds2,Phantoms3 (SO)	RECAP
2026-03-20	Bruins	@	Thunderbirds	Bruins2,Thunderbirds5	RECAP
2026-03-23	Thunderbirds	@	Marlies	Thunderbirds3,Marlies1	RECAP
2026-03-25	Penguins	@	Thunderbirds	Penguins3,Thunderbirds5	RECAP
2026-03-26	Thunderbirds	@	Bears	Thunderbirds4,Bears3 (OT)	RECAP
2026-03-29	Thunderbirds	@	Marlies	Thunderbirds2,Marlies5	RECAP
2026-04-03	Penguins	@	Thunderbirds	Penguins3,Thunderbirds2	RECAP

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,508,333$	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
0	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,508,333$	2,508,333$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
2,931,664$	13,935$	2,437,229$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	14	16,713$	33,426$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
33,426$	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 10 more games.
Robbie Russo is suspended for 10 more games.
Luke Philp is suspended for 10 more games.
Michael Krutil is suspended for 10 more games.
Nicolas Mattinen is suspended for 10 more games.

Game Center

Thunderbirds36-30-6, 78pts

25Final

Marlies46-20-6, 98pts

Penguins34-33-5, 73pts

32Final

Thunderbirds36-30-6, 78pts

Penguins34-33-5, 73pts

Sat, Apr 04

Thunderbirds36-30-6, 78pts

Sat, Oct 11

Wolf Pack32-32-8, 72pts

Penguins34-33-5, 73pts

Tue, Oct 14

Thunderbirds36-30-6, 78pts

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	24 GOALS
POINTS Tanner Laczynski Thunderbirds	51 POINTS
WINS Marcus Hogberg Thunderbirds	18 WINS
Expanded Player Leaderboard

Team Stats

Goals For 205 2.85 GFG	Goals Against 199 2.76 GAA
Power Play Percentage 17.1% 43 GF	Penalty Kill Percentage 82.9% 45 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain