NHLS - National Hockey League Simulated

Wolf Pack
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	Adam Fantilli	X				100.00	74	42	89	84	81	89	90	79	76	75	77	66	78	63	65	89	75	73	0
2	Alexis Lafreniere		X			100.00	72	36	89	76	79	88	90	77	56	75	73	65	76	68	70	88	75	71	0
3	Andrei Kuzmenko		X	X		100.00	60	34	92	72	74	86	82	76	68	73	69	65	75	71	74	35	75	69	0
4	Kirby Dach	X				100.00	75	41	76	74	91	85	77	69	75	67	68	66	72	67	66	86	75	68	0
5	Jesperi Kotkaniemi	X	X	X		100.00	70	43	85	68	86	80	82	67	81	69	62	64	66	70	66	85	75	67	0
6	Mason Appleton	X		X		100.00	72	36	85	70	80	84	86	66	57	63	62	68	65	73	75	39	75	67	0
7	Lukas Reichel		X			100.00	60	35	95	71	69	80	84	65	72	66	62	63	67	64	65	81	75	65	0
8	Sean Walker				X	100.00	74	37	79	72	71	88	90	68	30	73	65	77	54	75	73	27	75	69	0
9	Zach Whitecloud				X	100.00	75	39	87	66	82	91	89	63	30	71	57	79	50	72	70	35	75	68	0
10	Carson Soucy				X	100.00	74	72	82	65	89	88	89	63	30	67	60	75	52	75	73	35	75	67	0
11	Colin Miller				X	100.00	73	35	82	67	77	84	74	66	30	71	59	64	52	78	74	26	75	67	0
12	Luke Schenn				X	100.00	91	81	78	63	85	86	84	62	30	66	53	73	48	90	77	40	75	67	0
13	Pierre-Olivier Joseph				X	100.00	66	38	78	69	77	84	74	66	30	67	53	61	50	68	67	69	75	64	0
Scratches
1	Zack Bolduc	X				100.00	75	38	86	73	72	82	89	71	67	68	64	62	66	63	65	82	75	67	0
2	William Carrier		X			100.00	85	37	91	70	83	78	81	66	58	64	60	65	62	76	74	43	75	67	0
3	Noah Laba	X				100.00	75	41	86	71	86	80	76	63	75	62	60	68	61	63	65	60	75	66	0
4	Victor Eklund (R)			X		100.00	67	35	94	72	66	85	62	71	75	70	63	65	73	60	62	86	75	66	0
5	Mike Reilly				X	100.00	60	36	85	71	79	86	70	65	30	71	53	66	49	76	73	37	75	65	0

	TEAM AVERAGE					100.00	72	42	86	71	79	85	82	68	54	69	62	67	62	71	70	58	75	67

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
Scratches
1	Vitek Vanecek	100.00	82	80	75	77	81	80	82	81	80	82	81	74	84	60	75	71	0

	TEAM AVERAGE	100.00	82	80	75	77	81	80	82	81	80	82	81	74	84	60	75	71

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Luke Richardson	70	71	73	72	85	79	62	CAN	57	1	2,000,000$

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
Adam Fantilli	C	22	2004-10-12	No	205 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	925,000$	925,000$	925,000$	No	Link / NHL Link
Alexis Lafreniere	LW	25	2001-10-11	No	191 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	5,708,000$	5,708,000$	5,708,000$	No	Link / NHL Link
Andrei Kuzmenko	LW/RW	30	1996-02-04	No	200 Lbs	5 ft11	No	No	No	4	UFA	Pro & Farm	4,830,000$	4,830,000$	4,830,000$	No	Link / NHL Link
Carson Soucy	D	32	1994-07-27	No	211 Lbs	6 ft4	No	No	No	2	UFA	Pro & Farm	3,255,000$	3,255,000$	3,255,000$	No	Link / NHL Link
Colin Miller	D	34	1992-10-29	No	200 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	Link / NHL Link
Jesperi Kotkaniemi	C/LW/RW	26	2000-07-06	No	212 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	4,377,000$	4,377,000$	4,377,000$	No	Link / NHL Link
Kirby Dach	C	25	2001-01-21	No	221 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	4,151,000$	4,151,000$	4,151,000$	No	Link / NHL Link
Lukas Reichel	LW	24	2002-05-17	No	170 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	1,774,000$	1,774,000$	1,774,000$	No	Link / NHL Link
Luke Schenn	D	37	1989-11-02	No	225 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	No	Link / NHL Link
Mason Appleton	C/RW	30	1996-01-15	No	196 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	3,800,000$	3,800,000$	3,800,000$	No	Link / NHL Link
Mike Reilly	D	33	1993-07-13	No	191 Lbs	6 ft2	No	No	No	0	UFA	Pro & Farm		0$	0$	No	Link / NHL Link
Noah Laba	C	23	2003-08-04	No	214 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	925,000$	925,000$	925,000$	No	Link / NHL Link
Pierre-Olivier Joseph	D	27	1999-07-01	No	185 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	4,090,000$	4,090,000$	4,090,000$	No	Link / NHL Link
Sean Walker	D	32	1994-11-13	No	191 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	3,535,000$	3,535,000$	3,535,000$	No	Link / NHL Link
Victor Eklund	RW	20	2006-10-03	Yes	161 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	925,000$	925,000$	925,000$	No	Link / NHL Link
Vitek Vanecek	G	30	1996-01-09	No	184 Lbs	6 ft2	No	No	No	0	UFA	Pro & Farm		0$	0$	No	Link / NHL Link
William Carrier	LW	32	1994-12-20	No	214 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	2,850,000$	2,850,000$	2,850,000$	No	Link / NHL Link
Zach Whitecloud	D	30	1996-11-28	No	210 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	Link / NHL Link
Zack Bolduc	C	23	2003-02-24	No	187 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	925,000$	925,000$	925,000$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
19	28.16	198 Lbs	6 ft2	1.68	2,766,842$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
52,570,000$	37,320,000$	9,906,000$	4,830,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Adam Fantilli		Jesperi Kotkaniemi	45	1	2	2
2				30	1	2	2
3	Alexis Lafreniere			20	1	2	2
4	Lukas Reichel	Mason Appleton		5	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Carson Soucy		40	1	2	2
2	Luke Schenn	Zach Whitecloud	30	1	2	2
3	Sean Walker	Colin Miller	20	1	2	2
4	Colin Miller		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Kirby Dach		60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Whitecloud		60	1	2	2
2	Colin Miller	Luke Schenn	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2		Kirby Dach	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Luke Schenn		60	1	2	2
2	Zach Whitecloud	Colin Miller	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2		Carson Soucy	60	1	2	2
2		40	1	2	2	Luke Schenn	Zach Whitecloud	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2	Kirby Dach		40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Carson Soucy	60	1	2	2
2	Luke Schenn	Zach Whitecloud	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
	Adam Fantilli	Kirby Dach	Carson Soucy

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	Adam Fantilli	Kirby Dach	Carson Soucy

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, Zach Whitecloud, Luke Schenn	Zach Whitecloud	Luke Schenn, Zach Whitecloud

Penalty Shots
, , , , Lukas Reichel

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, Lukas Reichel, , Mason Appleton, , , , Alexis Lafreniere, , Adam Fantilli,

Custom OT Lines Defensemen
, Colin Miller, Zach Whitecloud, Carson Soucy, Luke Schenn

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	ST	OT	SO	RI	Link

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6500	5500	4500	3500	1250
Ticket Price	125	75	50	45	250
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$	52,570,000$	52,570,000$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0$	17	0

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

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	0$	8,932,207$	8,932,207$

Depth Chart

Left Wing

Center

Right Wing

Alexis Lafreniere	AGE:25	PO:88	OV:71
Andrei Kuzmenko	AGE:30	PO:35	OV:69
Jesperi Kotkaniemi	AGE:26	PO:85	OV:67
William Carrier	AGE:32	PO:43	OV:67
*Daniil But	AGE:21	PO:85	OV:65
Lukas Reichel	AGE:24	PO:81	OV:65
Isak Rosen	AGE:23	PO:83	OV:64
Bradly Nadeau	AGE:21	PO:78	OV:64
Hayden Hodgson	AGE:30	PO:35	OV:59

Adam Fantilli	AGE:22	PO:89	OV:73
Kirby Dach	AGE:25	PO:86	OV:68
Jesperi Kotkaniemi	AGE:26	PO:85	OV:67
Zack Bolduc	AGE:23	PO:82	OV:67
Mason Appleton	AGE:30	PO:39	OV:67
Noah Laba	AGE:23	PO:60	OV:66
Jonny Brodzinski	AGE:33	PO:32	OV:66
Zach Aston-Reese	AGE:32	PO:27	OV:65
Noah Ostlund	AGE:22	PO:84	OV:64
Tyson Kozak	AGE:24	PO:48	OV:61
Gabriel Seger	AGE:27	PO:37	OV:61
Francesco Pinelli	AGE:23	PO:74	OV:60
Xavier Parent	AGE:25	PO:42	OV:59
Hayden Hodgson	AGE:30	PO:35	OV:59
*Mathieu Cataford	AGE:21	PO:66	OV:58

Andrei Kuzmenko	AGE:30	PO:35	OV:69
Jesperi Kotkaniemi	AGE:26	PO:85	OV:67
Mason Appleton	AGE:30	PO:39	OV:67
*Victor Eklund	AGE:20	PO:86	OV:66
Fabian Lysell	AGE:23	PO:81	OV:62
Judd Caulfield	AGE:25	PO:54	OV:61
Xavier Bourgault	AGE:24	PO:80	OV:60
Hayden Hodgson	AGE:30	PO:35	OV:59

Defense #1

Defense #2

Goalie

Sean Walker	AGE:32	PO:27	OV:69
Zach Whitecloud	AGE:30	PO:35	OV:68
Luke Schenn	AGE:37	PO:40	OV:67
Carson Soucy	AGE:32	PO:35	OV:67
Colin Miller	AGE:34	PO:26	OV:67
Mike Reilly	AGE:33	PO:37	OV:65
*Tom Willander	AGE:21	PO:85	OV:64
Pierre-Olivier Joseph	AGE:27	PO:69	OV:64

*Oliver Bonk	AGE:21	PO:82	OV:63
Lukas Cormier	AGE:24	PO:65	OV:61
Stian Solberg	AGE:21	PO:81	OV:59
Dmitry Kuzmin	AGE:23	PO:64	OV:59
Dylan Anhorn	AGE:27	PO:37	OV:59
*Lukas Dragicevic	AGE:21	PO:70	OV:58
Calle Odelius	AGE:22	PO:67	OV:58
Charlie Wright	AGE:23	PO:45	OV:57

Vitek Vanecek	AGE:30	PO:60	OV:71
Sebastian Cossa	AGE:24	PO:82	OV:66
Kaapo Kahkonen	AGE:30	PO:53	OV:64
Connor D. Murphy	AGE:28	PO:36	OV:59
*Trey Augustine	AGE:21	PO:74	OV:57

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
Bill Zonnon	Rangers	2025	20
Brady Martin	Rangers	2025	8
Brennan Saulnier	Rangers			Link
Bruno Osmanis	Rangers	2025	142
Cole Reschny	Rangers	2025	19
Conner Roulette	Rangers	2021	38
Daniil Lazutin	Rangers	2021	85
Gab D'Aigle	Rangers	2025	150
Hunter Miska	Rangers			Link
Ivan Zhigalov	Rangers	2022	123
Karl Annborn	Rangers	2025	148
Linden Marshall	Rangers			Link
Marc-Andre Fleury	Rangers			Link
Markus Vidicek	Rangers	2022	91
Matt Nieto	Rangers			Link
Michael Mastrodomenico	Rangers	2022	155
Nikolai Kovalenko	Rangers	2018	171	Link
Rodwin Dionicio	Rangers	2023	108	Link
Roger McQueen	Rangers	2025	7
Samuel Laberge	Rangers			Link
Theo Rochette	Rangers	2021	182
Tomas Tatar	Rangers			Link
Tyler Muszelik	Rangers	2022	149
Vladislav Firstov	Rangers	2019	42	Link

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
2026	NYR EDM TOR DET TBL MIN	NYR EDM CAR
2027	NYR TBL	NYR STL MTL
2028	NYR	NYR	NYR	NYR	NYR	NYR	NYR
2029	NYR	NYR	NYR	NYR	NYR	NYR	NYR
2030	NYR	NYR	NYR	NYR	NYR	NYR	NYR

[2026-06-01 13:47:10] - TRADE : From Lightning to Rangers : Andrei Kuzmenko (69).

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	17	28	0	4	2	4	1	173	186	-13	28	12	12	0	1	1	1	1	98	95	3	28	5	16	0	3	1	3	0	75	91	-16	53	173	311	484	2	0	0	56	57	52	1635	0	524	519	571	1769	504	566	1269	183	30	16.39%	252	56	77.78%	3	944	1849	51.05%	1023	2047	49.98%	431	867	49.71%	1334	927	1356	414	704	344
2021	82	38	27	0	5	6	5	1	260	239	21	41	19	14	0	4	2	1	1	123	114	9	41	19	13	0	1	4	4	0	137	125	12	103	260	468	728	1	5	0	82	83	85	2471	0	819	791	831	2479	718	639	1772	299	61	20.40%	265	49	81.51%	0	1370	2825	48.50%	1370	2816	48.65%	627	1280	48.98%	1981	1378	1946	595	1043	521
2022	82	20	49	0	4	3	1	5	203	279	-76	41	13	21	0	3	2	1	1	106	127	-21	41	7	28	0	1	1	0	4	97	152	-55	58	203	373	576	0	1	0	84	65	49	2262	0	755	769	709	2697	802	652	1701	278	42	15.11%	268	64	76.12%	2	1251	2747	45.54%	1320	2994	44.09%	546	1237	44.14%	1860	1262	2070	602	1039	510
2023	82	15	48	0	6	6	1	6	209	309	-100	41	7	20	0	4	4	1	5	109	140	-31	41	8	28	0	2	2	0	1	100	169	-69	56	209	372	581	1	2	0	81	66	55	2336	0	775	761	776	2924	836	758	1852	283	48	16.96%	308	73	76.30%	2	1359	2779	48.90%	1426	3047	46.80%	627	1287	48.72%	1813	1224	2129	614	1033	498
2024	82	27	41	0	6	3	2	3	198	253	-55	41	13	19	0	5	1	2	1	102	133	-31	41	14	22	0	1	2	0	2	96	120	-24	76	198	359	557	0	3	0	56	70	64	2088	0	678	678	704	2706	788	968	1849	310	44	14.19%	413	77	81.36%	5	1285	2637	48.73%	1534	3186	48.15%	577	1238	46.61%	1813	1209	2117	631	1036	496
2025	82	18	50	0	4	4	2	4	183	263	-80	41	12	21	0	1	3	1	3	97	126	-29	41	6	29	0	3	1	1	1	86	137	-51	56	183	325	508	1	0	0	70	56	51	1996	0	694	660	608	2607	735	773	1888	314	47	14.97%	336	68	79.76%	3	1178	2568	45.87%	1417	3080	46.01%	565	1210	46.69%	1802	1206	2127	625	1038	502
Total Regular Season	466	135	243	0	29	24	15	20	1226	1529	-303	233	76	107	0	18	13	7	12	635	735	-100	233	59	136	0	11	11	8	8	591	794	-203	402	1226	2208	3434	5	11	0	429	397	356	12788	0	4245	4178	4199	15182	4383	4356	10331	1667	272	16.32%	1842	387	78.99%	15	7387	15405	47.95%	8090	17170	47.12%	3373	7119	47.38%	10604	7210	11747	3482	5895	2873
Playoff
2021	6	2	4	0	0	0	0	0	17	20	-3	3	1	2	0	0	0	0	0	7	9	-2	3	1	2	0	0	0	0	0	10	11	-1	4	17	30	47	0	0	0	7	2	8	168	0	59	46	63	176	51	53	118	21	3	14.29%	22	4	81.82%	0	110	198	55.56%	104	218	47.71%	45	91	49.45%	136	92	144	46	78	38
Total Playoff	6	2	4	0	0	0	0	0	17	20	-3	3	1	2	0	0	0	0	0	7	9	-2	3	1	2	0	0	0	0	0	10	11	-1	4	17	30	47	0	0	0	7	2	8	168	0	59	46	63	176	51	53	118	21	3	14.29%	22	4	81.82%	0	110	198	55.56%	104	218	47.71%	45	91	49.45%	136	92	144	46	78	38