NHLS - National Hockey League Simulated

Eagles
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	Nathan MacKinnon (A)	X		X		100.00	65	41	84	89	74	93	90	91	80	95	88	67	90	83	79	71	75	79	0
2	Alex Tuch		X	X		100.00	69	50	79	81	90	88	90	76	74	77	83	95	79	76	75	66	75	76	0
3	Adam Lowry	X	X			100.00	78	76	87	71	91	86	87	66	83	69	65	85	64	83	91	39	75	72	0
4	Chandler Stephenson	X	X			100.00	60	35	93	79	75	88	90	74	82	78	68	82	71	79	74	39	75	72	0
5	Justin Brazeau			X		100.00	74	51	93	66	99	80	86	68	53	67	69	71	64	68	72	36	75	69	0
6	Casey Cizikas	X				100.00	79	40	86	68	71	80	90	65	85	60	61	73	63	87	76	32	75	67	0
7	Colin Blackwell	X	X	X		100.00	74	33	87	69	67	79	85	63	76	64	60	83	62	75	74	29	75	67	0
8	Dryden Hunt		X			100.00	77	52	72	67	73	89	80	66	76	73	60	62	63	72	73	34	75	66	0
9	Cale Makar				X	100.00	64	34	93	86	72	95	89	82	30	92	83	85	64	71	74	76	75	78	0
10	Rasmus Andersson				X	100.00	62	39	72	74	78	94	90	73	30	77	74	84	59	76	71	56	75	72	0
11	Chris Tanev				X	100.00	58	37	91	67	83	90	76	63	30	73	56	89	50	86	77	20	75	68	0
Scratches
1	Jason Robertson		X	X		100.00	65	37	91	80	84	89	90	85	57	83	86	67	84	70	75	64	75	76	0
2	Claude Giroux (C)	X	X	X		100.00	68	34	93	75	70	88	90	77	90	78	67	78	77	92	83	34	75	73	0
3	Frederick Gaudreau	X	X			100.00	64	37	95	72	71	86	88	67	76	70	66	83	73	76	74	26	75	70	0
4	John Carlson (A)				X	100.00	63	37	89	73	87	94	88	74	30	87	70	86	58	89	77	39	75	74	0
5	Jalen Chatfield				X	100.00	66	42	85	70	79	90	89	64	30	72	60	80	51	72	74	35	75	68	0
6	Ilya Lyubushkin				X	100.00	71	42	83	65	82	87	85	62	30	71	53	81	48	75	72	27	75	67	0

	TEAM AVERAGE					100.00	68	42	87	74	79	88	87	72	60	76	69	79	66	78	76	43	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	Logan Thompson	100.00	95	91	86	88	94	93	95	94	93	95	94	73	83	56	75	78	0
Scratches
1	Justus Annunen	100.00	89	83	79	89	88	87	89	88	87	89	88	66	75	63	75	75	0

	TEAM AVERAGE	100.00	92	87	83	89	91	90	92	91	90	92	91	70	79	60	75	77

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jared Bednar	78	91	93	87	81	75	68	CAN	54	2	800,000$

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 Lowry	C/LW	33	1993-03-29	No	210 Lbs	6 ft5	No	No	No	2	UFA	Pro & Farm	5,821,000$	5,821,000$	5,821,000$	No	Link / NHL Link
Alex Tuch	LW/RW	30	1996-05-10	No	219 Lbs	6 ft4	No	No	No	5	UFA	Pro & Farm	9,000,000$	9,000,000$	9,000,000$	No	Link / NHL Link
Cale Makar	D	28	1998-10-30	No	187 Lbs	6 ft0	No	No	No	4	UFA	Pro & Farm	13,430,000$	13,430,000$	13,430,000$	No	Link / NHL Link
Casey Cizikas	C	35	1991-02-27	No	191 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	3,455,000$	3,455,000$	3,455,000$	No	Link / NHL Link
Chandler Stephenson	C/LW	32	1994-04-22	No	201 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	5,660,000$	5,660,000$	5,660,000$	No	Link / NHL Link
Chris Tanev	D	37	1989-12-20	No	200 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	4,925,000$	4,925,000$	4,925,000$	No	Link / NHL Link
Claude Giroux	C/LW/RW	38	1988-01-12	No	186 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	5,099,000$	5,099,000$	5,099,000$	No	Link / NHL Link
Colin Blackwell	C/LW/RW	33	1993-03-28	No	181 Lbs	5 ft8	No	No	No	2	UFA	Pro & Farm	1,881,000$	1,881,000$	1,881,000$	No	Link / NHL Link
Dryden Hunt	LW	31	1995-11-24	No	193 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	999,999$	999,999$	999,999$	No	Link / NHL Link
Frederick Gaudreau	C/LW	33	1993-05-01	No	184 Lbs	6 ft0	No	No	No	0	UFA	Pro & Farm		0$	0$	No	Link / NHL Link
Ilya Lyubushkin	D	32	1994-04-06	No	206 Lbs	6 ft2	No	No	No	0	UFA	Pro & Farm		0$	0$	No	Link / NHL Link
Jalen Chatfield	D	30	1996-05-15	No	209 Lbs	6 ft1	No	No	No	0	UFA	Pro & Farm		0$	0$	No	Link / NHL Link
Jason Robertson	LW/RW	27	1999-07-22	No	204 Lbs	6 ft3	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
John Carlson	D	36	1990-01-10	No	220 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	7,778,000$	7,778,000$	7,778,000$	No	Link / NHL Link
Justin Brazeau	RW	28	1998-02-02	No	232 Lbs	6 ft6	No	No	No	1	UFA	Pro & Farm	999,999$	999,999$	999,999$	No	Link / NHL Link
Justus Annunen	G	26	2000-03-11	No	210 Lbs	6 ft4	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Logan Thompson	G	29	1997-02-25	No	207 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	4,428,000$	4,428,000$	4,428,000$	No	Link / NHL Link
Nathan MacKinnon	C/RW	31	1995-09-01	No	200 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	11,690,000$	11,690,000$	11,690,000$	No	Link / NHL Link
Rasmus Andersson	D	30	1996-10-27	No	202 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	6,430,000$	6,430,000$	6,430,000$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
19	31.53	202 Lbs	6 ft2	1.53	4,294,579$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
81,596,998$	66,789,000$	28,860,000$	22,430,000$	9,000,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Adam Lowry	Nathan MacKinnon	Alex Tuch	37	1	1	3
2	Chandler Stephenson			33	1	1	3
3		Casey Cizikas	Justin Brazeau	20	1	3	1
4		Colin Blackwell		10	1	3	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	3	1
2	Chris Tanev	Rasmus Andersson	35	1	3	1
3			25	1	3	1
4	Rasmus Andersson		0	1	3	1

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Nathan MacKinnon	60	1	0	4
2	Adam Lowry	Chandler Stephenson	Alex Tuch	40	1	0	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	0	4
2	Chris Tanev	Rasmus Andersson	40	1	0	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Chandler Stephenson	Alex Tuch	60	0	5	0
2	Casey Cizikas	Adam Lowry	40	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Chris Tanev	60	0	5	0
2		Rasmus Andersson	40	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Adam Lowry	50	0	5	0		Chris Tanev	60	0	5	0
2	Alex Tuch	50	0	5	0	Rasmus Andersson		40	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nathan MacKinnon	Alex Tuch	50	1	3	1
2		Chandler Stephenson	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Rasmus Andersson	Chris Tanev	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		Nathan MacKinnon

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Adam Lowry	Chandler Stephenson	Alex Tuch	Chris Tanev

Extra Forwards
Normal	PowerPlay	Penalty Kill
Chandler Stephenson, Nathan MacKinnon,	, Nathan MacKinnon	Nathan MacKinnon

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, Chris Tanev,		, Chris Tanev

Penalty Shots
, Nathan MacKinnon, , Alex Tuch, Chandler Stephenson

Goalie
#1 : Logan Thompson, #2 :

Custom OT Lines Forwards
Nathan MacKinnon, Alex Tuch, , , Casey Cizikas, , , Chandler Stephenson, Adam Lowry, Justin Brazeau,

Custom OT Lines Defensemen
Chris Tanev, , , , Rasmus Andersson

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$	81,596,998$	81,596,998$	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$	14	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$	-18,364,185$	-18,364,185$

Depth Chart

Left Wing

Center

Right Wing

Alex Tuch	AGE:30	PO:66	OV:76
Jason Robertson	AGE:27	PO:64	OV:76
Claude Giroux	AGE:38	PO:34	OV:73
Adam Lowry	AGE:33	PO:39	OV:72
Chandler Stephenson	AGE:32	PO:39	OV:72
Frederick Gaudreau	AGE:33	PO:26	OV:70
Colin Blackwell	AGE:33	PO:29	OV:67
Dryden Hunt	AGE:31	PO:34	OV:66
Alex Barre-Boulet	AGE:29	PO:36	OV:64
Jeffrey Viel	AGE:29	PO:36	OV:63
Ben Steeves	AGE:24	PO:43	OV:61
Jujhar Khaira	AGE:32	PO:41	OV:61
Ryder Rolston	AGE:25	PO:55	OV:60
Chad Hillebrand	AGE:27	PO:37	OV:60
Daniel D'Amato	AGE:25	PO:42	OV:59
Bokondji Imama	AGE:30	PO:39	OV:59
*Raivis Ansons	AGE:24	PO:52	OV:58

Nathan MacKinnon	AGE:31	PO:71	OV:79
Claude Giroux	AGE:38	PO:34	OV:73
Adam Lowry	AGE:33	PO:39	OV:72
Chandler Stephenson	AGE:32	PO:39	OV:72
Frederick Gaudreau	AGE:33	PO:26	OV:70
Casey Cizikas	AGE:35	PO:32	OV:67
Colin Blackwell	AGE:33	PO:29	OV:67
Alex Barre-Boulet	AGE:29	PO:36	OV:64
Ryan Carpenter	AGE:35	PO:23	OV:64
Travis Boyd	AGE:33	PO:29	OV:63
Noah Philp	AGE:28	PO:36	OV:62
Jujhar Khaira	AGE:32	PO:41	OV:61
Ryder Rolston	AGE:25	PO:55	OV:60
*David Silye	AGE:27	PO:37	OV:59

Nathan MacKinnon	AGE:31	PO:71	OV:79
Alex Tuch	AGE:30	PO:66	OV:76
Jason Robertson	AGE:27	PO:64	OV:76
Claude Giroux	AGE:38	PO:34	OV:73
Justin Brazeau	AGE:28	PO:36	OV:69
Colin Blackwell	AGE:33	PO:29	OV:67
Alex Barre-Boulet	AGE:29	PO:36	OV:64
Ryan Carpenter	AGE:35	PO:23	OV:64
Travis Boyd	AGE:33	PO:29	OV:63
*Olivier Nadeau	AGE:23	PO:62	OV:61
Nathan Legare	AGE:25	PO:63	OV:60
Ryder Rolston	AGE:25	PO:55	OV:60
Bokondji Imama	AGE:30	PO:39	OV:59

Defense #1

Defense #2

Goalie

Cale Makar	AGE:28	PO:76	OV:78
John Carlson	AGE:36	PO:39	OV:74
Rasmus Andersson	AGE:30	PO:56	OV:72
Jalen Chatfield	AGE:30	PO:35	OV:68
Chris Tanev	AGE:37	PO:20	OV:68
Ilya Lyubushkin	AGE:32	PO:27	OV:67

Cale Fleury	AGE:28	PO:53	OV:64
Kale Clague	AGE:28	PO:59	OV:61
Louie Belpedio	AGE:30	PO:51	OV:60
Corey Schueneman	AGE:31	PO:34	OV:60
Nate Clurman	AGE:28	PO:41	OV:59
Tyson Feist	AGE:25	PO:42	OV:57

Logan Thompson	AGE:29	PO:56	OV:78
Justus Annunen	AGE:26	PO:63	OV:75
Nico Daws	AGE:26	PO:61	OV:65
Trent Miner	AGE:25	PO:57	OV:65
*Aku Koskenvuo	AGE:23	PO:56	OV:59

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
Adam Brooks	Avalanche			Link
Alexis Mathieu	Avalanche	2025	211
Andreas Straka	Avalanche	2025	182
Andrew Lucas	Avalanche			Link
Anthony Angello	Avalanche			Link
Beau Jelsma	Avalanche	2022	124
Blake Wheeler	Avalanche			Link
Brett Brochu	Avalanche			Link
Cody Hodgson	Avalanche			Link
Colby Ambrosio	Avalanche	2020	118	Link
Connor Carrick	Avalanche			Link
Danny Katic	Avalanche			Link
Evan Cormier	Avalanche			Link
Florian Elias	Avalanche	2021	86
Gabriel Bourque	Avalanche			Link
Jack Harvey	Avalanche	2021	150
Jimmy Vesey	Avalanche			Link
Karson Kuhlman	Avalanche			Link
Kevin Shattenkirk	Avalanche			Link
Kieffer Bellows	Avalanche			Link
Lucas Beckman	Avalanche	2025	51
Luka Burzan	Avalanche	2019	171	Link
Luke Philp	Avalanche			Link
Marc Staal	Avalanche			Link
Marcus Sylvegard	Avalanche			Link
Matt Stienburg	Avalanche	2019	63	Link
Mitch Reinke	Avalanche			Link
Nick Caamano	Avalanche			Link
Nick Leivermann	Avalanche	2017	187	Link
Noah Laberge	Avalanche	2025	179
Ryan MacKinnon	Avalanche			Link
Sam Gagner	Avalanche			Link
Sam Jardine	Avalanche			Link
Sampo Ranta	Avalanche	2018	78	Link
Sasha Mutala	Avalanche	2019	140	Link
Shawn Carrier	Avalanche	2025	197
Tyler Weiss	Avalanche	2018	109	Link
Tyler Wotherspoon	Avalanche			Link

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
2026		COL
2027	COL	COL				COL	COL
2028	COL	COL	COL	COL	COL	COL	COL
2029	COL	COL	COL	COL	COL	COL	COL
2030	COL	COL	COL	COL	COL	COL	COL

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	23	23	0	4	1	4	1	174	160	14	28	9	11	0	3	1	3	1	82	82	0	28	14	12	0	1	0	1	0	92	78	14	64	174	313	487	0	5	0	59	57	50	1687	0	543	540	577	1506	465	507	1225	182	44	24.18%	210	40	80.95%	0	985	1961	50.23%	932	1782	52.30%	450	880	51.14%	1376	960	1302	415	719	362
2021	82	44	28	0	1	6	1	2	265	215	50	41	24	12	0	1	2	1	1	144	100	44	41	20	16	0	0	4	0	1	121	115	6	100	265	476	741	5	7	0	104	71	88	2561	0	850	840	859	2325	703	631	1863	299	73	24.41%	266	40	84.96%	1	1507	2955	51.00%	1464	2852	51.33%	641	1263	50.75%	2029	1425	1887	589	1032	521
2022	82	47	16	0	3	5	2	9	309	232	77	41	23	8	0	3	2	2	3	152	112	40	41	24	8	0	0	3	0	6	157	120	37	118	309	558	867	1	3	0	120	98	86	2706	0	893	943	838	2382	730	617	1618	294	64	21.77%	265	46	82.64%	1	1542	2994	51.50%	1465	2718	53.90%	704	1332	52.85%	2052	1443	1911	592	1035	525
2023	82	40	26	0	4	6	4	2	286	250	36	41	21	14	0	1	3	1	1	139	123	16	41	19	12	0	3	3	3	1	147	127	20	104	286	514	800	1	1	0	92	93	93	2842	0	955	918	927	2435	720	623	1750	330	67	20.30%	254	52	79.53%	1	1668	3191	52.27%	1463	2822	51.84%	645	1313	49.12%	2066	1457	1877	594	1028	526
2024	82	37	30	0	3	6	3	3	240	231	9	41	21	16	0	1	2	0	1	120	113	7	41	16	14	0	2	4	3	2	120	118	2	95	240	430	670	2	3	0	84	73	77	2423	0	769	758	860	2221	678	664	1768	344	57	16.57%	260	49	81.15%	2	1511	2942	51.36%	1390	2735	50.82%	615	1222	50.33%	2056	1441	1886	601	1033	525
2025	82	38	29	0	6	5	2	2	219	222	-3	41	22	12	0	4	2	0	1	117	107	10	41	16	17	0	2	3	2	1	102	115	-13	99	219	398	617	0	6	0	73	80	58	2170	0	666	757	721	2098	555	637	1707	301	64	21.26%	278	63	77.34%	5	1473	2725	54.06%	1300	2552	50.94%	657	1283	51.21%	2113	1496	1805	593	1048	534
Total Regular Season	466	229	152	0	21	29	16	19	1493	1310	183	233	120	73	0	13	12	7	8	754	637	117	233	109	79	0	8	17	9	11	739	673	66	580	1493	2689	4182	9	25	0	532	472	452	14389	0	4676	4756	4782	12967	3851	3679	9931	1750	369	21.09%	1533	290	81.08%	10	8686	16768	51.80%	8014	15461	51.83%	3712	7293	50.90%	11694	8224	10670	3388	5898	2996
Playoff
2020	5	1	4	0	0	0	0	0	8	15	-7	2	1	1	0	0	0	0	0	4	4	0	3	0	3	0	0	0	0	0	4	11	-7	2	8	15	23	1	1	0	2	5	1	109	0	37	42	30	140	28	39	103	22	2	9.09%	16	2	87.50%	0	76	149	51.01%	88	171	51.46%	32	69	46.38%	116	79	122	38	64	32
2021	12	6	6	0	0	0	0	0	36	33	3	6	1	5	0	0	0	0	0	14	20	-6	6	5	1	0	0	0	0	0	22	13	9	12	36	69	105	0	1	0	8	14	12	324	0	101	105	107	371	96	88	260	27	7	25.93%	39	4	89.74%	0	186	403	46.15%	230	454	50.66%	83	175	47.43%	280	194	304	89	155	75
2022	12	6	6	0	0	0	0	0	37	37	0	6	3	3	0	0	0	0	0	16	18	-2	6	3	3	0	0	0	0	0	21	19	2	12	37	65	102	0	0	0	13	15	7	379	0	114	124	122	358	104	76	253	48	15	31.25%	36	4	88.89%	0	245	469	52.24%	234	432	54.17%	89	184	48.37%	295	206	295	88	154	79
2023	12	6	6	0	0	0	0	0	37	40	-3	6	4	2	0	0	0	0	0	21	17	4	6	2	4	0	0	0	0	0	16	23	-7	12	37	67	104	0	0	0	14	9	13	370	0	122	123	119	392	117	111	229	54	10	18.52%	45	11	75.56%	1	221	430	51.40%	221	454	48.68%	95	195	48.72%	295	205	283	89	152	77
2024	7	3	4	0	0	0	0	0	19	22	-3	3	3	0	0	0	0	0	0	13	8	5	4	0	4	0	0	0	0	0	6	14	-8	6	19	32	51	0	0	0	6	6	5	236	0	74	65	71	229	61	56	150	37	5	13.51%	24	4	83.33%	0	144	299	48.16%	127	270	47.04%	62	115	53.91%	193	135	175	57	98	49
2025	5	1	4	0	0	0	0	0	12	17	-5	2	1	1	0	0	0	0	0	7	7	0	3	0	3	0	0	0	0	0	5	10	-5	2	12	22	34	0	0	0	3	5	4	149	0	51	50	47	125	41	36	106	28	3	10.71%	18	2	88.89%	0	90	184	48.91%	78	162	48.15%	38	80	47.50%	125	86	113	36	64	33
Total Playoff	53	23	30	0	0	0	0	0	149	164	-15	25	13	12	0	0	0	0	0	75	74	1	28	10	18	0	0	0	0	0	74	90	-16	46	149	270	419	1	2	0	46	54	42	1567	0	499	509	496	1615	447	406	1101	216	42	19.44%	178	27	84.83%	1	962	1934	49.74%	978	1943	50.33%	399	818	48.78%	1308	907	1295	400	689	347