PSL - Pro Simulation League

Marlies
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	Macklin Celebrini	X				100.00	64	34	84	86	72	91	89	83	78	87	84	67	83	60	72	94	75	75	0
2	Filip Forsberg		X	X		100.00	75	36	85	79	78	89	90	84	55	79	83	67	84	82	77	52	75	75	0
3	Tim Stutzle	X	X			100.00	75	37	83	87	72	91	90	80	82	85	79	71	83	67	68	86	75	75	0
4	Wyatt Johnston	X		X		100.00	65	35	91	80	75	89	90	83	78	81	85	72	82	65	67	81	75	74	0
5	Mikael Granlund	X	X	X		100.00	65	34	90	76	69	90	87	77	80	79	75	78	76	86	77	46	75	73	0
6	Logan Cooley	X	X			100.00	69	35	81	82	73	88	84	78	75	79	80	68	81	63	65	89	75	72	0
7	Troy Terry			X		100.00	53	35	93	79	73	89	86	80	57	81	75	68	83	72	73	45	75	72	0
8	Mason McTavish	X	X			100.00	71	36	83	75	81	87	89	76	80	75	73	65	76	65	68	88	75	70	0
9	Teddy Blueger	X	X			100.00	73	43	83	68	71	85	82	65	80	69	64	84	65	75	73	43	75	68	0
10	Nick Bjugstad	X		X		100.00	75	55	88	73	94	79	84	67	78	60	62	66	64	83	75	45	75	68	0
11	Casey Cizikas	X				100.00	79	40	86	68	71	80	90	65	85	60	61	73	63	87	76	32	75	67	0
12	Nico Sturm	X	X			100.00	74	43	90	67	85	77	81	64	87	60	61	77	63	73	72	34	75	66	0
13	Noah Dobson				X	100.00	68	37	87	77	86	93	89	76	30	80	71	78	62	69	67	81	75	72	0
14	Vince Dunn				X	100.00	61	38	81	76	73	92	87	75	30	80	72	65	60	76	73	55	75	71	0
15	Jaccob Slavin				X	100.00	58	37	95	72	85	92	82	66	30	74	60	95	52	81	76	36	75	70	0
16	Erik Cernak				X	100.00	78	71	73	67	92	88	86	64	30	72	58	88	53	73	70	61	75	68	0
17	Dylan DeMelo				X	100.00	74	35	85	64	76	92	90	63	30	72	56	84	50	81	74	29	75	68	0
18	Radko Gudas				X	100.00	87	75	69	65	76	89	86	62	30	72	54	82	49	85	91	32	75	68	0
Scratches
1	Sam Steel	X	X			100.00	69	37	89	72	71	86	89	68	82	71	62	81	64	71	73	65	75	69	0

	TEAM AVERAGE					100.00	70	42	85	74	78	88	87	72	62	75	69	75	68	74	73	58	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	Sam Montembeault	100.00	90	88	83	87	89	88	90	89	88	90	89	74	84	52	75	74	0
Scratches
1	Marc-Andre Fleury	100.00	90	84	77	77	89	88	90	89	88	90	89	99	95	11	75	74	0

	TEAM AVERAGE	100.00	90	86	80	82	89	88	90	89	88	90	89	87	90	32	75	74

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Todd McLellan	79	83	84	86	87	81	60	CAN	58	1	1,000,000$

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
Casey Cizikas	C	34	1991-02-27	No	191 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	Link / NHL Link
Dylan DeMelo	D	32	1993-05-01	No	194 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	4,900,000$	4,900,000$	4,900,000$	No	Link / NHL Link
Erik Cernak	D	28	1997-05-28	No	230 Lbs	6 ft4	No	No	No	4	UFA	Pro & Farm	5,200,000$	5,200,000$	5,200,000$	No	Link / NHL Link
Filip Forsberg	LW/RW	31	1994-08-13	No	205 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	8,500,000$	8,500,000$	8,500,000$	No	Link / NHL Link
Jaccob Slavin	D	31	1994-05-01	No	207 Lbs	6 ft3	No	No	No	3	UFA	Pro & Farm	5,300,000$	5,300,000$	5,300,000$	No	Link / NHL Link
Logan Cooley	C/LW	21	2004-05-04	No	191 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	950,000$	950,000$	950,000$	No	Link / NHL Link
Macklin Celebrini	C	19	2006-06-13	No	190 Lbs	6 ft0	No	No	No	1	ELC	Pro & Farm	975,000$	975,000$	975,000$	No	Link / NHL Link
Marc-Andre Fleury	G	40	1984-11-28	No	185 Lbs	6 ft2	Yes	No	No	0	UFA	Pro & Farm		0$	0$	No	Link / NHL Link
Mason McTavish	C/LW	22	2003-01-30	No	219 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	7,000,000$	7,000,000$	7,000,000$	No	Link / NHL Link
Mikael Granlund	C/LW/RW	33	1992-02-26	No	193 Lbs	5 ft10	No	No	No	3	UFA	Pro & Farm	7,000,000$	7,000,000$	7,000,000$	No	Link / NHL Link
Nick Bjugstad	C/RW	33	1992-07-17	No	210 Lbs	6 ft6	No	No	No	1	UFA	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	No	Link / NHL Link
Nico Sturm	C/LW	30	1995-05-03	No	209 Lbs	6 ft3	Yes	No	No	1	UFA	Pro & Farm	1,600,000$	1,600,000$	1,600,000$	No	Link / NHL Link
Noah Dobson	D	25	2000-01-07	No	200 Lbs	6 ft4	No	No	No	5	RFA	Pro & Farm	9,500,000$	9,500,000$	9,500,000$	No	Link / NHL Link
Radko Gudas	D	35	1990-06-05	No	208 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	No	Link / NHL Link
Sam Montembeault	G	28	1996-10-30	No	218 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	No	Link / NHL Link
Sam Steel	C/LW	27	1998-02-03	No	185 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	1,200,000$	1,200,000$	1,200,000$	No	Link / NHL Link
Teddy Blueger	C/LW	31	1994-08-15	No	185 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	1,900,000$	1,900,000$	1,900,000$	No	Link / NHL Link
Tim Stutzle	C/LW	23	2002-01-15	No	187 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	8,350,000$	8,350,000$	8,350,000$	No	Link / NHL Link
Troy Terry	RW	28	1997-09-10	No	193 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	1,450,000$	1,450,000$	1,450,000$	No	Link / NHL Link
Vince Dunn	D	28	1996-10-29	No	200 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	7,350,000$	7,350,000$	7,350,000$	No	Link / NHL Link
Wyatt Johnston	C/RW	22	2003-05-14	No	187 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	894,167$	894,167$	894,167$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	28.62	199 Lbs	6 ft1	2.00	3,884,246$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
81,569,167$	63,350,000$	39,250,000$	14,700,000$	9,500,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Macklin Celebrini	Filip Forsberg	Tim Stutzle	40	1	2	2
2	Mikael Granlund	Logan Cooley	Wyatt Johnston	30	1	2	2
3	Troy Terry	Mason McTavish	Teddy Blueger	20	1	2	2
4	Nico Sturm	Casey Cizikas	Nick Bjugstad	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Noah Dobson	Vince Dunn	40	1	2	2
2	Jaccob Slavin	Radko Gudas	30	1	2	2
3	Erik Cernak	Dylan DeMelo	20	1	2	2
4	Noah Dobson	Jaccob Slavin	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Mikael Granlund	Nick Bjugstad	Filip Forsberg	60	1	2	2
2	Nico Sturm	Logan Cooley	Macklin Celebrini	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Noah Dobson	Erik Cernak	60	1	2	2
2	Jaccob Slavin	Radko Gudas	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nick Bjugstad	Mikael Granlund	60	1	2	2
2	Filip Forsberg	Logan Cooley	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Erik Cernak	Noah Dobson	60	1	2	2
2	Jaccob Slavin	Radko Gudas	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Mikael Granlund	60	1	2	2	Erik Cernak	Noah Dobson	60	1	2	2
2	Nick Bjugstad	40	1	2	2	Jaccob Slavin	Radko Gudas	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Macklin Celebrini	Nick Bjugstad	60	1	2	2
2	Mikael Granlund	Logan Cooley	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Erik Cernak	Vince Dunn	60	1	2	2
2	Jaccob Slavin	Radko Gudas	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Macklin Celebrini	Filip Forsberg	Mikael Granlund	Noah Dobson	Vince Dunn

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Mikael Granlund	Nico Sturm	Nick Bjugstad	Jaccob Slavin	Erik Cernak

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nick Bjugstad, Mikael Granlund, Logan Cooley	Nick Bjugstad, Mikael Granlund	Nick Bjugstad

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Radko Gudas, Erik Cernak, Jaccob Slavin	Radko Gudas	Radko Gudas, Erik Cernak

Penalty Shots
Mikael Granlund, Tim Stutzle, Logan Cooley, Wyatt Johnston, Nick Bjugstad

Goalie
#1 : Sam Montembeault, #2 :

Custom OT Lines Forwards
Tim Stutzle, Logan Cooley, Wyatt Johnston, Troy Terry, Nick Bjugstad, Mikael Granlund, Mikael Granlund, Mason McTavish, Nico Sturm, Casey Cizikas, Teddy Blueger

Custom OT Lines Defensemen
Vince Dunn, Dylan DeMelo, Jaccob Slavin, Radko Gudas, Erik Cernak

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	6000	5000	2000	4000	1000
Ticket Price	100	60	35	25	200
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$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
0$	81,569,167$	81,569,167$	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$	20	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$	8,467,635$	8,467,635$

Depth Chart

Left Wing

Center

Right Wing

Tim Stutzle	AGE:23	PO:86	OV:75
Filip Forsberg	AGE:31	PO:52	OV:75
Mikael Granlund	AGE:33	PO:46	OV:73
Logan Cooley	AGE:21	PO:89	OV:72
Mason McTavish	AGE:22	PO:88	OV:70
Sam Steel	AGE:27	PO:65	OV:69
Teddy Blueger	AGE:31	PO:43	OV:68
Nico Sturm	AGE:30	PO:34	OV:66

Macklin Celebrini	AGE:19	PO:94	OV:75
Tim Stutzle	AGE:23	PO:86	OV:75
Wyatt Johnston	AGE:22	PO:81	OV:74
Mikael Granlund	AGE:33	PO:46	OV:73
Logan Cooley	AGE:21	PO:89	OV:72
Mason McTavish	AGE:22	PO:88	OV:70
Sam Steel	AGE:27	PO:65	OV:69
Nick Bjugstad	AGE:33	PO:45	OV:68
Teddy Blueger	AGE:31	PO:43	OV:68
Casey Cizikas	AGE:34	PO:32	OV:67
Nico Sturm	AGE:30	PO:34	OV:66
Dylan Gambrell	AGE:29	PO:54	OV:62

Filip Forsberg	AGE:31	PO:52	OV:75
Wyatt Johnston	AGE:22	PO:81	OV:74
Mikael Granlund	AGE:33	PO:46	OV:73
Troy Terry	AGE:28	PO:45	OV:72
Nick Bjugstad	AGE:33	PO:45	OV:68

Defense #1

Defense #2

Goalie

Noah Dobson	AGE:25	PO:81	OV:72
Vince Dunn	AGE:28	PO:55	OV:71
*Alexander Nikishin	AGE:23	PO:63	OV:70
Jaccob Slavin	AGE:31	PO:36	OV:70

Erik Cernak	AGE:28	PO:61	OV:68
Radko Gudas	AGE:35	PO:32	OV:68
Dylan DeMelo	AGE:32	PO:29	OV:68
Jack Thompson	AGE:23	PO:59	OV:63

Sam Montembeault	AGE:28	PO:52	OV:74
Marc-Andre Fleury	AGE:40	PO:11	OV:74
Brandon Bussi	AGE:27	PO:52	OV:70
Yaroslav Askarov	AGE:23	PO:83	OV:69

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
Alexander Smolin	Maple Leafs	2024	203
Austin Elliott	Maple Leafs	2025	202
Ben Macdonald	Maple Leafs	2022	180
Benjamin Gleason	Maple Leafs	8	92
Braden Doyle	Maple Leafs	2019	241
Brady Martin	Maple Leafs	2025	11
Brent Gates	Maple Leafs
Connor Hall	Maple Leafs	8	182
Dmitry Gamzin	Maple Leafs	2024	200
Felix Lacerte	Maple Leafs	2024	211
Jake Bischoff	Maple Leafs
Joshua Ravensbergen	Maple Leafs	2025	15
Luke Reid	Maple Leafs	2020	190
Trevor Janicke	Maple Leafs	2019	141
Valentin Nussbaumer	Maple Leafs	2019	115
Viggo Nordlund	Maple Leafs	2025	105

Draft Picks

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

[2026-05-23 14:50:43] - Alexander Nikishin was added to Maple Leafs.

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
2017	82	19	48	0	4	5	2	4	226	306	-80	41	13	21	0	1	3	2	1	133	151	-18	41	6	27	0	3	2	0	3	93	155	-62	59	226	372	598	2	0	41	88	91	6	2274	629	831	789	43	2648	887	1191	1914	335	78	23.28%	484	121	75.00%	10	666	1767	37.69%	766	2081	36.81%	422	1152	36.63%	1554	791	1903	838	1513	698
2018	82	31	33	0	9	6	1	2	187	215	-28	41	14	16	0	5	4	0	2	96	112	-16	41	17	17	0	4	2	1	0	91	103	-12	90	187	330	517	3	5	71	61	45	11	2137	693	733	682	36	2608	733	813	1933	282	28	9.93%	357	63	82.35%	3	1180	2616	45.11%	1403	3080	45.55%	525	1195	43.93%	1770	1183	2154	632	1038	495
2019	82	18	41	0	5	11	2	5	182	251	-69	41	11	16	0	2	5	2	5	105	128	-23	41	7	25	0	3	6	0	0	77	123	-46	66	182	320	502	2	3	59	64	52	13	2186	706	703	727	85	2697	809	839	1953	272	35	12.87%	355	74	79.15%	1	1227	2637	46.53%	1440	3129	46.02%	596	1233	48.34%	1784	1194	2159	628	1042	499
2020	82	19	50	0	4	6	2	1	195	301	-106	41	11	21	0	4	3	2	0	107	141	-34	41	8	29	0	0	3	0	1	88	160	-72	57	195	345	540	3	2	55	73	61	6	2031	670	704	638	33	2653	780	771	2041	280	48	17.14%	314	70	77.71%	1	1154	2579	44.75%	1425	3046	46.78%	570	1274	44.74%	1778	1181	2129	623	1048	505
2021	82	12	55	0	2	8	3	2	188	334	-146	41	4	26	0	2	5	2	2	99	168	-69	41	8	29	0	0	3	1	0	89	166	-77	44	188	335	523	1	1	0	68	60	55	2200	0	680	764	731	2828	782	819	1946	262	43	16.41%	353	81	77.05%	2	1226	2661	46.07%	1391	3079	45.18%	589	1294	45.52%	1797	1207	2131	620	1041	498
2022	82	21	51	0	1	4	2	3	186	287	-101	41	15	20	0	1	2	1	2	107	130	-23	41	6	31	0	0	2	1	1	79	157	-78	55	186	329	515	0	3	0	61	65	57	2050	0	665	712	659	2875	831	860	2063	211	36	17.06%	381	76	80.05%	2	1147	2545	45.07%	1466	3165	46.32%	598	1277	46.83%	1743	1156	2173	611	1038	496
2023	82	9	64	0	3	3	1	2	187	384	-197	41	6	29	0	2	2	1	1	91	177	-86	41	3	35	0	1	1	0	1	96	207	-111	31	187	339	526	3	1	0	66	57	60	2053	0	677	682	680	3122	936	735	1920	299	47	15.72%	329	96	70.82%	0	1174	2596	45.22%	1389	3198	43.43%	622	1357	45.84%	1770	1196	2150	614	1028	490
2024	82	29	35	0	5	11	1	1	226	245	-19	41	12	16	0	4	8	1	0	116	128	-12	41	17	19	0	1	3	0	1	110	117	-7	82	226	406	632	1	6	0	70	73	77	2370	0	759	788	787	2408	691	744	1901	327	62	18.96%	314	42	86.62%	4	1351	2870	47.07%	1395	2811	49.63%	634	1288	49.22%	1997	1384	1924	609	1044	517
2025	82	28	35	0	6	6	3	4	242	244	-2	41	14	17	0	3	2	3	2	123	122	1	41	14	18	0	3	4	0	2	119	122	-3	84	242	442	684	4	3	0	88	69	76	2357	0	784	779	756	2382	703	650	1759	280	54	19.29%	266	50	81.20%	2	1416	2814	50.32%	1348	2722	49.52%	628	1261	49.80%	2001	1401	1942	595	1039	522
Total Regular Season	738	186	412	0	39	60	17	24	1819	2567	-748	369	100	182	0	24	34	14	15	977	1257	-280	369	86	230	0	15	26	3	9	842	1310	-468	568	1819	3218	5037	19	24	226	639	573	361	19658	2698	6536	6561	3810	24221	7152	7422	17430	2548	431	16.92%	3153	673	78.66%	25	10541	23085	45.66%	12023	26311	45.70%	5184	11331	45.75%	16200	10697	18670	5775	9837	4724
Playoff
2018	11	4	7	0	0	0	0	0	26	37	-11	5	1	4	0	0	0	0	0	11	19	-8	6	3	3	0	0	0	0	0	15	18	-3	8	26	45	71	0	0	4	12	10	0	307	92	106	89	20	409	117	119	291	46	7	15.22%	49	9	81.63%	0	160	379	42.22%	209	482	43.36%	59	173	34.10%	251	165	312	95	157	74
Total Playoff	11	4	7	0	0	0	0	0	26	37	-11	5	1	4	0	0	0	0	0	11	19	-8	6	3	3	0	0	0	0	0	15	18	-3	8	26	45	71	0	0	4	12	10	0	307	92	106	89	20	409	117	119	291	46	7	15.22%	49	9	81.63%	0	160	379	42.22%	209	482	43.36%	59	173	34.10%	251	165	312	95	157	74