NHLS - National Hockey League Simulated

Roadrunners
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Depth
Transactions
Records

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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Artemi Panarin		X			100.00	58	34	92	86	70	91	90	89	53	88	87	66	86	82	78	23	75	77	0
2	Mark Stone (A)			X		100.00	64	37	91	76	85	90	83	79	55	86	75	82	74	81	93	29	75	76	0
3	Tage Thompson (A)	X		X		100.00	70	45	83	80	96	89	88	82	75	76	86	65	84	71	75	66	75	75	0
4	Morgan Geekie	X	X	X		100.00	74	37	91	80	86	88	86	76	78	74	86	64	81	70	73	55	75	74	0
5	Macklin Celebrini (R)	X	X			100.00	64	34	84	86	72	91	81	83	78	87	82	65	83	60	69	94	75	74	0
6	Kyle Palmieri	X		X		100.00	69	34	91	74	71	88	90	75	69	72	77	66	74	84	79	43	75	72	0
7	Teuvo Teravainen	X	X	X		100.00	59	34	95	77	71	87	90	75	77	78	73	75	72	80	73	65	75	72	0
8	Jaden Schwartz	X	X			100.00	65	33	90	76	67	88	87	73	85	76	74	64	75	83	76	50	75	71	0
9	Michael Rasmussen	X				100.00	77	49	78	69	96	86	85	70	80	72	67	86	68	67	71	83	75	71	0
10	J.T. Compher	X	X	X		100.00	63	34	88	73	72	86	89	68	76	74	69	83	67	75	72	61	75	70	0
11	Justin Danforth			X		100.00	76	33	90	69	66	84	85	67	79	68	64	78	65	72	73	27	75	68	0
12	Isac Lundestrom	X	X			100.00	68	35	95	68	73	83	84	64	76	62	60	86	63	68	67	77	75	67	0
13	Brent Burns				X	100.00	60	39	91	73	95	92	90	71	30	78	66	81	56	94	80	29	75	73	0
14	Jared Spurgeon (C)				X	100.00	69	33	95	74	63	93	77	71	30	76	69	95	57	85	93	92	75	73	0
15	Shea Theodore				X	100.00	55	36	91	82	80	93	81	77	30	92	68	67	61	75	72	64	75	73	0
16	Joel Edmundson				X	100.00	72	42	89	64	93	90	84	62	30	74	61	85	51	80	74	44	75	69	0
17	Mikey Anderson				X	100.00	75	35	91	66	73	92	89	63	30	74	59	87	52	68	72	59	75	68	0
18	Ty Emberson				X	100.00	79	42	93	66	79	87	80	63	30	72	55	80	50	65	66	63	75	67	0
Scratches
1	Noah Juulsen				X	100.00	86	61	85	65	81	86	76	63	30	62	52	81	48	68	70	66	75	66	0

	TEAM AVERAGE					100.00	69	38	90	74	78	89	85	72	57	76	70	77	67	75	75	57	75	71

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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Jordan Binnington	100.00	94	93	88	75	93	92	94	93	92	94	93	79	86	53	75	78	0
2	Charlie Lindgren	100.00	93	88	83	78	92	91	93	92	91	93	92	74	86	53	75	77	0
Scratches
1	Cayden Primeau	100.00	82	82	78	84	81	80	82	81	80	82	81	66	75	56	75	71	0

	TEAM AVERAGE	100.00	90	88	83	79	89	88	90	89	88	90	89	73	82	54	75	75

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Peter Laviolette	84	87	90	82	90	84	56	USA	60	1	4,900,000$

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	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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

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	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Artemi Panarin (1 Way Contract)	LW	35	1991-10-30	No	177 Lbs	6 ft0	No	No	Yes	3	UFA	Pro & Farm	11,642,857$	11,642,857$	11,642,857$	No	Link / NHL Link
Brent Burns (1 Way Contract)	D	41	1985-03-09	No	228 Lbs	6 ft5	No	No	Yes	4	UFA	Pro & Farm	7,739,000$	7,739,000$	7,739,000$	No	Link / NHL Link
Cayden Primeau	G	27	1999-08-11	No	205 Lbs	6 ft3	No	No	Yes	1	RFA	Pro & Farm	921,200$	921,200$	921,200$	No	Link / NHL Link
Charlie Lindgren (1 Way Contract)	G	33	1993-12-18	No	190 Lbs	6 ft2	No	No	Yes	4	UFA	Pro & Farm	1,850,000$	1,850,000$	1,850,000$	No	Link / NHL Link
Isac Lundestrom (1 Way Contract)	C/LW	27	1999-11-06	No	191 Lbs	6 ft0	No	No	Yes	1	RFA	Pro & Farm	1,250,000$	1,250,000$	1,250,000$	No	Link / NHL Link
J.T. Compher (1 Way Contract)	C/LW/RW	31	1995-04-08	No	190 Lbs	6 ft0	No	No	Yes	1	UFA	Pro & Farm	3,399,000$	3,399,000$	3,399,000$	No	Link / NHL Link
Jaden Schwartz (1 Way Contract)	C/LW	34	1992-06-25	No	185 Lbs	5 ft10	No	No	Yes	2	UFA	Pro & Farm	4,200,000$	4,200,000$	4,200,000$	No	Link / NHL Link
Jared Spurgeon (1 Way Contract)	D	37	1989-11-29	No	166 Lbs	5 ft9	No	No	Yes	2	UFA	Pro & Farm	7,575,000$	7,575,000$	7,575,000$	No	Link / NHL Link
Joel Edmundson (1 Way Contract)	D	33	1993-06-28	No	221 Lbs	6 ft5	No	No	Yes	2	UFA	Pro & Farm	2,608,000$	2,608,000$	2,608,000$	No	Link / NHL Link
Jordan Binnington (1 Way Contract)	G	33	1993-07-11	No	172 Lbs	6 ft2	No	No	Yes	4	UFA	Pro & Farm	6,100,000$	6,100,000$	6,100,000$	No	Link / NHL Link
Justin Danforth	RW	33	1993-03-15	No	188 Lbs	5 ft8	No	No	Yes	1	UFA	Pro & Farm	925,000$	925,000$	925,000$	No	Link / NHL Link
Kyle Palmieri (1 Way Contract)	C/RW	35	1991-02-01	No	195 Lbs	5 ft11	No	No	Yes	3	UFA	Pro & Farm	6,000,000$	6,000,000$	6,000,000$	No	Link / NHL Link
Macklin Celebrini	C/LW	20	2006-06-13	Yes	190 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	925,000$	925,000$	925,000$	No	Link / NHL Link
Mark Stone (1 Way Contract)	RW	34	1992-05-13	No	210 Lbs	6 ft3	No	No	Yes	2	UFA	Pro & Farm	9,500,000$	9,500,000$	9,500,000$	No	Link / NHL Link
Michael Rasmussen (1 Way Contract)	C	27	1999-04-17	No	220 Lbs	6 ft6	No	No	Yes	3	RFA	Pro & Farm	3,688,000$	3,688,000$	3,688,000$	No	Link / NHL Link
Mikey Anderson (1 Way Contract)	D	27	1999-05-25	No	195 Lbs	6 ft0	No	No	Yes	3	RFA	Pro & Farm	4,082,000$	4,082,000$	4,082,000$	No	Link / NHL Link
Morgan Geekie (1 Way Contract)	C/LW/RW	28	1998-07-20	No	208 Lbs	6 ft3	No	No	Yes	5	UFA	Pro & Farm	5,630,000$	5,630,000$	5,630,000$	No	Link / NHL Link
Noah Juulsen	D	29	1997-04-02	No	201 Lbs	6 ft2	No	No	Yes	1	UFA	Pro & Farm	861,300$	861,300$	861,300$	No	Link / NHL Link
Shea Theodore (1 Way Contract)	D	31	1995-08-03	No	197 Lbs	6 ft2	No	No	Yes	4	UFA	Pro & Farm	7,072,000$	7,072,000$	7,072,000$	No	Link / NHL Link
Tage Thompson (1 Way Contract)	C/RW	29	1997-10-30	No	220 Lbs	6 ft6	No	No	Yes	3	UFA	Pro & Farm	5,323,000$	5,323,000$	5,323,000$	No	Link / NHL Link
Teuvo Teravainen (1 Way Contract)	C/LW/RW	32	1994-09-11	No	191 Lbs	5 ft11	No	No	Yes	4	UFA	Pro & Farm	5,019,000$	5,019,000$	5,019,000$	No	Link / NHL Link
Ty Emberson (1 Way Contract)	D	26	2000-05-23	No	193 Lbs	6 ft2	No	No	Yes	3	RFA	Pro & Farm	2,313,000$	2,313,000$	2,313,000$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	31.00	197 Lbs	6 ft1	2.68	4,482,880$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
98,623,357$	90,100,000$	66,217,000$	35,728,000$	5,630,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Artemi Panarin	Macklin Celebrini	Mark Stone	32	0	1	4
2	Morgan Geekie	Teuvo Teravainen	Tage Thompson	30	1	1	3
3	J.T. Compher	Jaden Schwartz	Kyle Palmieri	23	1	2	2
4	Isac Lundestrom	Michael Rasmussen	J.T. Compher	15	0	4	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Shea Theodore	Jared Spurgeon	32	0	4	1
2	Brent Burns	Mikey Anderson	32	0	4	1
3	Ty Emberson	Joel Edmundson	26	0	4	1
4	Ty Emberson	Mikey Anderson	10	0	4	1

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Artemi Panarin	Macklin Celebrini	Tage Thompson	60	0	0	5
2	Teuvo Teravainen	Morgan Geekie	Mark Stone	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Shea Theodore	Mikey Anderson	60	0	1	4
2	Brent Burns	Jared Spurgeon	40	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Michael Rasmussen	Isac Lundestrom	60	0	5	0
2	J.T. Compher	Justin Danforth	40	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jared Spurgeon	Joel Edmundson	60	0	5	0
2	Mikey Anderson	Ty Emberson	40	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	J.T. Compher	60	0	5	0	Jared Spurgeon	Joel Edmundson	60	0	5	0
2	Michael Rasmussen	40	0	5	0	Mikey Anderson	Ty Emberson	40	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Macklin Celebrini	Mark Stone	60	1	2	2
2	Kyle Palmieri	Morgan Geekie	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Shea Theodore	Joel Edmundson	60	1	2	2
2	Brent Burns	Jared Spurgeon	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Artemi Panarin	Macklin Celebrini	Tage Thompson	Shea Theodore	Morgan Geekie

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
J.T. Compher	Michael Rasmussen	Mark Stone	Jared Spurgeon	Mikey Anderson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Mark Stone, Tage Thompson, Macklin Celebrini	Kyle Palmieri, Jaden Schwartz	J.T. Compher

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Shea Theodore, Mikey Anderson, Joel Edmundson	Joel Edmundson	Brent Burns, Shea Theodore

Penalty Shots
Macklin Celebrini, Artemi Panarin, Tage Thompson, Morgan Geekie, Mark Stone

Goalie
#1 : Jordan Binnington, #2 : Charlie Lindgren

Custom OT Lines Forwards
, Justin Danforth, , Macklin Celebrini, , , , , , ,

Custom OT Lines Defensemen
, , , , Ty Emberson

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
0	0	0.00%	0	0	0.00%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0.00%	0	0	0.00%	0	0	0.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

Last Played Games 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

Day	Game	Visitor Team	Score	Home Team	Score
2 - 2026-04-20	6	Mammoth	-	Blues	-
4 - 2026-04-22	14	Mammoth	-	Blues	-
6 - 2026-04-24	22	Blues	-	Mammoth	-
8 - 2026-04-26	30	Blues	-	Mammoth	-
10 - 2026-04-28	38	Mammoth	-	Blues	-
12 - 2026-04-30	46	Blues	-	Mammoth	-
14 - 2026-05-02	54	Mammoth	-	Blues	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6500	5500	4500	3500	1250
Ticket Price	275	175	125	115	500
Attendance	0.00%	0.00%	0.00%	0.00%	0.00%
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	Capacity	Team Popularity
41	0 - 0.00%	0$	0$	21250	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
0$	98,623,357$	98,623,357$	0$	-5,662,000$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0$	22	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	14	0$	0$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	0$	-1,526,885$	-1,526,885$

Depth Chart

Left Wing

Center

Right Wing

Artemi Panarin	AGE:35	PO:23	OV:77
*Macklin Celebrini	AGE:20	PO:94	OV:74
Morgan Geekie	AGE:28	PO:55	OV:74
Teuvo Teravainen	AGE:32	PO:65	OV:72
Jaden Schwartz	AGE:34	PO:50	OV:71
J.T. Compher	AGE:31	PO:61	OV:70
Isac Lundestrom	AGE:27	PO:77	OV:67
Egor Sokolov	AGE:26	PO:64	OV:64
Dominic Toninato	AGE:32	PO:46	OV:64
Reid Schaefer	AGE:23	PO:77	OV:63
Nico Myatovic	AGE:22	PO:77	OV:58
*Julian Lutz	AGE:22	PO:74	OV:58
*Carson Bantle	AGE:24	PO:55	OV:58

Tage Thompson	AGE:29	PO:66	OV:75
*Macklin Celebrini	AGE:20	PO:94	OV:74
Morgan Geekie	AGE:28	PO:55	OV:74
Teuvo Teravainen	AGE:32	PO:65	OV:72
Kyle Palmieri	AGE:35	PO:43	OV:72
Michael Rasmussen	AGE:27	PO:83	OV:71
Jaden Schwartz	AGE:34	PO:50	OV:71
J.T. Compher	AGE:31	PO:61	OV:70
Isac Lundestrom	AGE:27	PO:77	OV:67
Klim Kostin	AGE:27	PO:74	OV:64
Dominic Toninato	AGE:32	PO:46	OV:64
Lane Pederson	AGE:29	PO:36	OV:62
Callahan Burke	AGE:29	PO:36	OV:61
*Aleksanteri Kaskimaki	AGE:22	PO:66	OV:60
*Camden Thiesing	AGE:25	PO:43	OV:58
*Matthew Barbolini	AGE:26	PO:42	OV:58
*Anthony Romano	AGE:26	PO:48	OV:57

Mark Stone	AGE:34	PO:29	OV:76
Tage Thompson	AGE:29	PO:66	OV:75
Morgan Geekie	AGE:28	PO:55	OV:74
Teuvo Teravainen	AGE:32	PO:65	OV:72
Kyle Palmieri	AGE:35	PO:43	OV:72
J.T. Compher	AGE:31	PO:61	OV:70
Justin Danforth	AGE:33	PO:27	OV:68
*Maxim Tsyplakov	AGE:28	PO:37	OV:65
Jesse Ylonen	AGE:27	PO:73	OV:63
Aku Raty	AGE:25	PO:48	OV:61
Callahan Burke	AGE:29	PO:36	OV:61
Dino Kambeitz	AGE:26	PO:42	OV:60
*Riese Gaber	AGE:27	PO:42	OV:59

Defense #1

Defense #2

Goalie

Jared Spurgeon	AGE:37	PO:92	OV:73
Shea Theodore	AGE:31	PO:64	OV:73
Brent Burns	AGE:41	PO:29	OV:73
Joel Edmundson	AGE:33	PO:44	OV:69
Mikey Anderson	AGE:27	PO:59	OV:68
Ty Emberson	AGE:26	PO:63	OV:67
Noah Juulsen	AGE:29	PO:66	OV:66
Jack Thompson	AGE:24	PO:61	OV:64

Kyle Capobianco	AGE:29	PO:56	OV:63
Cameron Crotty	AGE:27	PO:61	OV:62
Cam Dineen	AGE:28	PO:56	OV:62
Kevin Connauton	AGE:36	PO:33	OV:60
*Will Zmolek	AGE:27	PO:42	OV:59
Gavin White	AGE:24	PO:59	OV:58
*Roman Kinal	AGE:28	PO:37	OV:57
*Joe Fleming	AGE:23	PO:44	OV:56

Jordan Binnington	AGE:33	PO:53	OV:78
Charlie Lindgren	AGE:33	PO:53	OV:77
Cayden Primeau	AGE:27	PO:56	OV:71
Michael Dipietro	AGE:27	PO:63	OV:66
*Carl Lindbom	AGE:23	PO:49	OV:65
Will Cranley	AGE:24	PO:49	OV:55

Prospects

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

Prospect	Team Name	Draft Year	Overall Pick	Lien
Alex Dubeau	Mammoth			Link
Alfons Freij	Mammoth	2024	25
Andy Miele	Mammoth			Link
Artem Anisimov	Mammoth			Link
Axel Bergkvist	Mammoth	2019	200	Link
Blake Christensen	Mammoth			Link
Blake Montgommery	Mammoth	2024	144
Blake Pietila	Mammoth			Link
Brendan Leipsic	Mammoth			Link
Brendan Perlini	Mammoth			Link
Brett McKenzie	Mammoth			Link
Brian Flynn	Mammoth			Link
Cale Morris	Mammoth			Link
Carsen Musser	Mammoth	2023	124
Cole Eiserman	Mammoth	2024	12
Cole Knuble	Mammoth	2022	143
Cooper Marody	Mammoth			Link
Dalyn Wakely	Mammoth	2024	156
Danil Aimurzin	Mammoth	2025	203
Danil Savunov	Mammoth	2019	174	Link
David Tendeck	Mammoth	2018	158	Link
Elliot Ekefjard	Mammoth	2020	192	Link
Emil Pettersson	Mammoth	2013	155	Link
Erik Walli Walterholm	Mammoth	2017	190	Link
Eriks Mateiko	Mammoth	2024	124
Filip Barklund	Mammoth	2020	173	Link
Filip Westerlund	Mammoth	2017	44	Link
Finn Harding	Mammoth	2024	162
Ilya Fedotov	Mammoth	2021	96
Ivan Prosvetov	Mammoth			Link
Jack D Hughes	Mammoth	2022	51
Javon Moore	Mammoth	2024	121
Jiri Felcman	Mammoth	2024	189
Joona Saarelainen	Mammoth	2024	129
Kasper Kulonummi	Mammoth	2024	166
Logan Sawyer	Mammoth	2024	161
Luca Marelli	Mammoth	2024	89
Lucas Pettersson	Mammoth	2024	41
Luke Misa	Mammoth	2024	54
Marcus Gidlof	Mammoth	2024	104
Mathis Rousseau	Mammoth	2024	158
Max Veronneau	Mammoth			Link
Maxim Shabanov	Mammoth	2025	60
Michael Chaput	Mammoth			Link
Michael McLeod	Mammoth			Link
Nate Misskey	Mammoth	2024	154
Nicholas Kempf	Mammoth	2024	98
Patrick Kudla	Mammoth	2016	158	Link
Philip Svedeback	Mammoth	2024	183
Sam Anas	Mammoth			Link
Sebastian Soini	Mammoth	2024	118
Shane Starrett	Mammoth			Link
Tanner Henricks	Mammoth	2025	134
Tarin Smith	Mammoth	2024	63
Tomas Hamara	Mammoth	2022	64
Valentin Nussbaumer	Mammoth	2019	207	Link
Vili Saarijarvi	Mammoth			Link
Will Skahan	Mammoth	2024	66
Yevgeni Kashnikov	Mammoth	2021	100

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
2027	UTA	UTA				NYR UTA	NYR PHI UTA
2028	UTA	UTA	UTA	UTA	UTA	UTA	UTA
2029	UTA	UTA	UTA	UTA	UTA	UTA	UTA
2030	UTA	UTA	UTA	UTA	UTA	UTA	UTA

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	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
Regular Season
2020	56	25	22	0	3	2	1	3	145	144	1	28	14	8	0	1	2	0	3	67	67	0	28	11	14	0	2	0	1	0	78	77	1	63	145	265	410	0	5	0	56	43	42	1564	0	523	526	495	1540	425	438	1151	205	44	21.46%	183	36	80.33%	0	1021	1888	54.08%	974	1857	52.45%	426	822	51.82%	1366	959	1328	404	698	349
2021	82	35	33	0	4	1	7	2	232	211	21	41	16	16	0	2	1	4	2	116	106	10	41	19	17	0	2	0	3	0	116	105	11	95	232	414	646	4	8	0	82	78	61	2251	0	744	792	689	2194	651	622	1694	276	54	19.57%	267	40	85.02%	1	1491	2769	53.85%	1415	2688	52.64%	678	1256	53.98%	2029	1410	1896	606	1052	532
2022	82	27	43	0	3	5	2	2	223	281	-58	41	17	20	0	1	1	1	1	116	138	-22	41	10	23	0	2	4	1	1	107	143	-36	71	223	408	631	2	1	0	78	68	72	2343	0	809	768	746	2666	785	686	1692	321	54	16.82%	293	63	78.50%	2	1424	2846	50.04%	1480	2936	50.41%	640	1288	49.69%	1960	1360	1968	596	1021	509
2023	82	18	53	0	3	2	1	5	182	281	-99	41	10	26	0	3	0	0	2	97	139	-42	41	8	27	0	0	2	1	3	85	142	-57	51	182	320	502	1	3	0	59	61	58	2102	0	692	674	713	2728	808	875	1871	291	43	14.78%	378	95	74.87%	1	1212	2610	46.44%	1444	3112	46.40%	602	1243	48.43%	1865	1259	2055	622	1040	509
2024	82	26	34	0	6	5	4	7	230	260	-30	41	17	15	0	0	3	2	4	112	123	-11	41	9	19	0	6	2	2	3	118	137	-19	84	230	410	640	3	2	0	76	83	61	2425	0	773	810	799	2549	759	777	1834	319	58	18.18%	337	66	80.42%	0	1443	2926	49.32%	1483	2992	49.57%	669	1259	53.14%	1944	1335	2004	616	1047	517
2025	82	45	25	0	3	3	4	2	271	217	54	41	20	13	0	2	3	2	1	143	131	12	41	25	12	0	1	0	2	1	128	86	42	109	271	488	759	1	7	0	110	91	63	2560	0	878	791	866	2322	671	588	1742	369	77	20.87%	254	44	82.68%	0	1550	2994	51.77%	1408	2770	50.83%	624	1268	49.21%	2030	1426	1901	602	1031	519
Total Regular Season	466	176	210	0	22	18	19	21	1283	1394	-111	233	94	98	0	9	10	9	13	651	704	-53	233	82	112	0	13	8	10	8	632	690	-58	473	1283	2305	3588	11	26	0	461	424	357	13245	0	4419	4361	4308	13999	4099	3986	9984	1781	330	18.53%	1712	344	79.91%	4	8141	16033	50.78%	8204	16355	50.16%	3639	7136	50.99%	11197	7750	11155	3448	5893	2937
Playoff
2020	7	3	4	0	0	0	0	0	17	16	1	3	1	2	0	0	0	0	0	6	6	0	4	2	2	0	0	0	0	0	11	10	1	6	17	31	48	0	0	0	8	4	4	181	0	62	63	49	213	72	60	157	20	4	20.00%	29	4	86.21%	1	107	220	48.64%	130	279	46.59%	58	113	51.33%	166	115	177	53	89	43
2021	6	2	4	0	0	0	0	0	15	21	-6	3	0	3	0	0	0	0	0	6	13	-7	3	2	1	0	0	0	0	0	9	8	1	4	15	27	42	0	0	0	7	3	5	174	0	53	60	53	172	47	28	134	20	4	20.00%	13	5	61.54%	0	104	221	47.06%	105	201	52.24%	51	86	59.30%	149	106	141	42	76	38
Total Playoff	13	5	8	0	0	0	0	0	32	37	-5	6	1	5	0	0	0	0	0	12	19	-7	7	4	3	0	0	0	0	0	20	18	2	10	32	58	90	0	0	0	15	7	9	355	0	115	123	102	385	119	88	291	40	8	20.00%	42	9	78.57%	1	211	441	47.85%	235	480	48.96%	109	199	54.77%	316	221	319	96	166	81