Canadian Hockey League

IceBears
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

Team Leaders

Team Stats

Injury / Suspension
No Injury or Suspension.

Team Info
	General Manager	Simon Murray
	Coach	Jon Cooper
	Division	Central
	Conference	Western
	Captain	Nick Suzuki
	Assistant #1
	Assistant #2	Jesper Bratt
Uniforms

Arena Info
	Name	North Pole Arena
	Capacity	25,000
	Attendance
	Season Tickets	10,000
Roster Info
	Pro Team	23
	Farm Team	11
	Contract Limit	34 / 50
	Prospects	4
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	90,000,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	15
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	-12,027,866$
	Projected Bank Account	-12,027,866$
Team History
	This Season	0-0-0 (0PTS)
	History	840-640-155 (0.514%)
	Playoff Appearances	9
	Playoff Record (W-L)	38-45
	Stanley Cup	0

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	Age	Contract	Salary
1	Nick Suzuki (C)	X				100.00	58	49	88	96	63	88	99	90	87	99	80	87	76	74	81	65	20	82	0	25	1	8,000,000$
2	Kyle Connor		X			100.00	46	48	84	98	55	89	99	94	40	96	91	75	78	80	85	50	20	81	0	28	1	9,000,000$
3	Matthew Boldy		X			100.00	55	53	78	90	66	89	99	82	81	86	77	80	90	70	80	75	20	77	0	23	2	7,000,000$
4	William Eklund		X			100.00	56	45	82	91	50	87	96	76	40	84	68	82	73	68	78	80	20	74	0	22	1	925,000$
5	Cole Perfetti	X				100.00	60	44	85	87	52	80	99	70	40	72	68	70	99	68	74	80	20	70	0	22	3	3,800,000$
6	Eetu Luostarinen	X				100.00	94	49	83	77	63	80	98	57	40	55	59	82	40	76	78	60	20	67	0	26	3	3,750,000$
7	Evan Bouchard				X	100.00	49	49	82	90	63	89	99	82	40	93	71	87	40	74	82	65	20	77	0	25	1	5,000,000$
8	Thomas Harley				X	100.00	50	54	86	85	73	89	96	75	40	76	75	84	40	70	80	75	20	75	0	23	2	5,000,000$
9	Erik Cernak				X	100.00	88	65	77	75	84	80	95	57	40	59	55	84	40	78	79	55	20	73	0	27	4	4,850,000$
10	Simon Edvinsson				X	100.00	66	59	73	77	78	85	96	63	40	65	61	84	40	66	76	85	20	72	0	21	1	925,000$
Scratches
1	Lucas Raymond		X			100.00	52	44	86	95	53	86	99	85	40	93	77	71	90	68	77	80	20	77	0	22	0	0$
2	Dawson Mercer	X				100.00	52	43	86	83	51	84	99	63	76	57	69	80	40	70	77	75	20	68	0	23	0	0$
3	Ondrej Palat		X			100.00	78	47	87	81	58	77	96	60	40	54	66	73	53	90	84	25	20	67	0	33	0	0$
4	Jesper Boqvist	X				100.00	97	47	86	79	58	77	96	57	77	52	63	68	69	76	77	60	20	66	0	26	0	0$
5	Kirby Dach	X				100.00	81	58	76	77	80	81	82	61	75	57	64	58	99	70	76	75	20	65	0	23	0	0$
6	Radek Faksa	X				100.00	78	55	81	75	75	77	91	54	92	52	56	72	73	84	81	40	20	65	0	30	0	0$
7	Viktor Arvidsson		X			100.00	51	43	83	84	50	80	89	62	40	55	68	65	62	86	83	35	20	65	0	31	1	4,878,000$
8	Scott Mayfield				X	100.00	72	60	82	75	78	78	88	52	40	47	56	85	40	88	83	30	20	71	0	32	2	3,000,000$
9	Mattias Samuelsson				X	100.00	80	59	83	75	83	82	85	56	40	53	58	77	40	72	77	70	20	70	0	24	0	0$
10	Jani Hakanpaa				X	100.00	99	64	80	75	86	55	50	53	40	53	54	82	40	88	72	30	20	69	0	32	0	0$
11	Maxence Guenette				X	100.00	57	50	78	75	70	62	57	44	40	40	49	70	40	70	66	75	20	60	0	23	2	1,000,000$
Farm Team
1	Samuel Houde	X				100.00	44	41	87	85	47	60	50	66	70	60	57	58	40	72	66	70	20	60	0	24	1	750,000$
2	Andre Lee		X			100.00	84	65	78	75	74	70	56	51	40	49	54	61	40	72	71	70	20	59	0	24	1	750,000$
3	Kurtis MacDermid		X			100.00	81	88	70	75	88	64	59	45	40	40	50	53	40	84	74	40	20	57	0	30	2	750,000$
4	Ben Jones	X				100.00	86	61	82	75	55	69	61	45	40	40	50	59	40	74	72	65	20	56	0	25	2	750,000$
5	Tristan Allard	X				100.00	54	44	74	75	63	60	50	40	70	36	43	67	40	68	64	80	20	53	0	22	2	750,000$
6	Thomas Caron			X		100.00	66	66	70	75	66	60	50	31	40	26	36	50	40	72	66	70	20	48	0	24	1	750,000$
7	Jeremy Roy				X	100.00	65	59	71	75	61	55	50	30	40	30	30	52	40	78	67	55	20	53	0	27	2	750,000$
8	John Hayden	X				100.00	92	67	59	75	79	69	57	49	89	44	54	76	40	82	76	45	20	61	0	29	0	0$
9	Tim Berni				X	100.00	88	46	78	75	57	55	50	47	40	43	52	61	40	72	64	70	20	59	0	24	0	0$
10	Calle Sjalin				X	100.00	49	44	81	75	51	55	50	35	40	36	34	56	40	74	65	65	20	53	0	25	0	0$

	TEAM AVERAGE					100.00	69	54	80	81	65	75	79	59	52	58	60	71	54	75	75	62	20	66

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	Age	Contract	Salary
1	Jeremy Swayman	100.00	86	99	99	90	81	77	77	78	77	78	96	76	77	60	20	80	0	26	2	4,750,000$
Scratches
1	Lukas Dostal	100.00	86	96	99	87	83	83	81	80	81	78	99	72	78	70	20	81	0	24	2	2,500,000$
Farm Team
1	Maxime Lagace	100.00	75	50	60	87	50	50	50	50	50	50	50	86	68	35	20	58	0	31	1	750,000$

	TEAM AVERAGE	100.00	82	82	86	88	71	70	69	69	69	69	82	78	74	55	20	73

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jon Cooper	71	96	99	84	93	77	54	CAN	58	4	6,000,000$

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	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	2039	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2040	2041	2042	2043	Link
Cole Perfetti	Wild	C	22	2002-01-01	No	185 Lbs	5 ft11	No	No	No	3	Pro & Farm	3,800,000$	3,800,000$	3,800,000$	No	3,800,000$	3,800,000$	RFA		Link / NHL Link
Dawson Mercer	Wild	C	23	2001-10-27	No	180 Lbs	6 ft0	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Link / NHL Link
Eetu Luostarinen	Wild	C	26	1998-09-02	No	191 Lbs	6 ft3	No	No	Yes	3	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	3,750,000$	3,750,000$	UFA		Link / NHL Link
Erik Cernak	Wild	D	27	1997-05-28	No	230 Lbs	6 ft4	No	No	Yes	4	Pro & Farm	4,850,000$	4,850,000$	4,850,000$	No	4,850,000$	4,850,000$	4,850,000$	UFA	Link / NHL Link
Evan Bouchard	Wild	D	25	1999-10-20	No	192 Lbs	6 ft3	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	RFA				Link / NHL Link
Jani Hakanpaa	Wild	D	32	1992-03-31	No	222 Lbs	6 ft7	No	No	No	0	Pro & Farm	UFA	0$	0$	No					Link / NHL Link
Jeremy Swayman	Wild	G	26	1998-11-24	No	187 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	4,750,000$	4,750,000$	4,750,000$	No	4,750,000$	UFA			Link / NHL Link
Jesper Boqvist	Wild	C	26	1998-10-30	No	190 Lbs	6 ft1	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Link / NHL Link
Kirby Dach	Wild	C	23	2001-01-21	No	221 Lbs	6 ft4	No	No	Yes	0	Pro & Farm	RFA	0$	0$	No					Link / NHL Link
Kyle Connor	Wild	LW	28	1996-12-09	No	183 Lbs	6 ft1	No	No	Yes	1	Pro Only	9,000,000$	9,000,000$	9,000,000$	No	UFA				Link / NHL Link
Lucas Raymond	Wild	LW	22	2002-03-28	No	188 Lbs	5 ft11	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Link / NHL Link
Lukas Dostal	Wild	G	24	2000-06-22	No	174 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	No	2,500,000$	RFA			Link / NHL Link
Matthew Boldy	Wild	LW	23	2001-04-05	No	201 Lbs	6 ft2	No	No	No	2	Pro Only	7,000,000$	7,000,000$	7,000,000$	No	7,000,000$	RFA			Link / NHL Link
Mattias Samuelsson	Wild	D	24	2000-03-14	No	227 Lbs	6 ft4	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Link / NHL Link
Maxence Guenette	Wild	D	23	2001-04-28	No	210 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	No	1,000,000$	RFA			Link / NHL Link
Nick Suzuki	Wild	C	25	1999-08-10	No	207 Lbs	5 ft11	No	No	Yes	1	Pro Only	8,000,000$	8,000,000$	8,000,000$	No	RFA				Link / NHL Link
Ondrej Palat	Wild	LW	33	1991-03-28	No	194 Lbs	6 ft0	No	No	Yes	0	Pro Only	UFA	0$	0$	No					Link / NHL Link
Radek Faksa	Wild	C	30	1994-01-09	No	215 Lbs	6 ft3	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No					Link / NHL Link
Scott Mayfield	Wild	D	32	1992-10-14	No	213 Lbs	6 ft5	No	No	Yes	2	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	No	3,000,000$	UFA			Link / NHL Link
Simon Edvinsson	Wild	D	21	2003-02-05	No	209 Lbs	6 ft6	No	No	No	1	Pro & Farm	925,000$	925,000$	925,000$	No	RFA				Link / NHL Link
Thomas Harley	Wild	D	23	2001-08-19	No	211 Lbs	6 ft3	No	No	No	2	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	RFA			Link / NHL Link
Viktor Arvidsson	Wild	LW	31	1993-04-08	No	185 Lbs	5 ft10	No	No	Yes	1	Pro & Farm	4,878,000$	4,878,000$	4,878,000$	No	UFA				Link / NHL Link
William Eklund	Wild	LW	22	2002-10-12	No	181 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	925,000$	925,000$	No	RFA				Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	25.70	200 Lbs	6 ft2	1.22	2,799,043$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
64,378,000$	35,650,000$	12,400,000$	4,850,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Matthew Boldy	Nick Suzuki	Kyle Connor	42	1	2	2
2			William Eklund	30	1	2	2
3			Eetu Luostarinen	18	1	2	2
4	Cole Perfetti		Kyle Connor	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Evan Bouchard	Erik Cernak	42	1	2	2
2		Thomas Harley	30	1	2	2
3		Simon Edvinsson	18	1	2	2
4	Evan Bouchard	Thomas Harley	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Matthew Boldy	Nick Suzuki	Kyle Connor	60	0	1	4
2			William Eklund	40	0	1	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Evan Bouchard	Thomas Harley	60	0	2	3
2	Evan Bouchard	Kyle Connor	40	0	2	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Matthew Boldy	60	1	2	2
2	Nick Suzuki	Eetu Luostarinen	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Evan Bouchard	Erik Cernak	60	1	2	2
2		Thomas Harley	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Nick Suzuki	60	1	2	2	Evan Bouchard	Erik Cernak	60	1	2	2
2		40	1	2	2		Thomas Harley	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nick Suzuki	Matthew Boldy	60	1	2	2
2		Kyle Connor	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Evan Bouchard	Erik Cernak	60	1	2	2
2		Thomas Harley	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Matthew Boldy	Nick Suzuki	Kyle Connor	Evan Bouchard	Thomas Harley

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Matthew Boldy	Nick Suzuki	Kyle Connor		Erik Cernak

Extra Forwards
Normal	PowerPlay	Penalty Kill
William Eklund, Eetu Luostarinen,	William Eklund, Cole Perfetti

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Erik Cernak, , Simon Edvinsson	Erik Cernak	Erik Cernak,

Penalty Shots
Nick Suzuki, Matthew Boldy, Kyle Connor, , William Eklund

Goalie
#1 : Jeremy Swayman, #2 :

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

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

	Overall												Home											Visitor
#	VS Team	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	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			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

Depth Chart

Left Wing

Center

Right Wing

Kyle Connor

AGE:28
SK:		98
EN:		89
DU:		99
PH:		94
PA:		96
SC:		91
DF:		75
Lucas Raymond

AGE:22
SK:		95
EN:		86
DU:		99
PH:		85
PA:		93
SC:		77
DF:		71
Matthew Boldy

AGE:23
SK:		90
EN:		89
DU:		99
PH:		82
PA:		86
SC:		77
DF:		80
William Eklund

AGE:22
SK:		91
EN:		87
DU:		96
PH:		76
PA:		84
SC:		68
DF:		82
Ondrej Palat

AGE:33
SK:		81
EN:		77
DU:		96
PH:		60
PA:		54
SC:		66
DF:		73
Viktor Arvidsson

AGE:31
SK:		84
EN:		80
DU:		89
PH:		62
PA:		55
SC:		68
DF:		65
Andre Lee

AGE:24
SK:		75
EN:		70
DU:		56
PH:		51
PA:		49
SC:		54
DF:		61
Kurtis MacDermid

AGE:30
SK:		75
EN:		64
DU:		59
PH:		45
PA:		40
SC:		50
DF:		53

Nick Suzuki

AGE:25
SK:		96
EN:		88
DU:		99
PH:		90
PA:		99
SC:		80
DF:		87
Cole Perfetti

AGE:22
SK:		87
EN:		80
DU:		99
PH:		70
PA:		72
SC:		68
DF:		70
Dawson Mercer

AGE:23
SK:		83
EN:		84
DU:		99
PH:		63
PA:		57
SC:		69
DF:		80
Eetu Luostarinen

AGE:26
SK:		77
EN:		80
DU:		98
PH:		57
PA:		55
SC:		59
DF:		82
Jesper Boqvist

AGE:26
SK:		79
EN:		77
DU:		96
PH:		57
PA:		52
SC:		63
DF:		68
Kirby Dach

AGE:23
SK:		77
EN:		81
DU:		82
PH:		61
PA:		57
SC:		64
DF:		58
Radek Faksa

AGE:30
SK:		75
EN:		77
DU:		91
PH:		54
PA:		52
SC:		56
DF:		72
John Hayden

AGE:29
SK:		75
EN:		69
DU:		57
PH:		49
PA:		44
SC:		54
DF:		76
Samuel Houde

AGE:24
SK:		85
EN:		60
DU:		50
PH:		66
PA:		60
SC:		57
DF:		58
Ben Jones

AGE:25
SK:		75
EN:		69
DU:		61
PH:		45
PA:		40
SC:		50
DF:		59
Tristan Allard

AGE:22
SK:		75
EN:		60
DU:		50
PH:		40
PA:		36
SC:		43
DF:		67

Thomas Caron

AGE:24
SK:		75
EN:		60
DU:		50
PH:		31
PA:		26
SC:		36
DF:		50

Defense #1

Defense #2

Goalie

Evan Bouchard

AGE:25
SK:		90
EN:		89
DU:		99
PH:		82
PA:		93
SC:		71
DF:		87
Thomas Harley

AGE:23
SK:		85
EN:		89
DU:		96
PH:		75
PA:		76
SC:		75
DF:		84
Erik Cernak

AGE:27
SK:		75
EN:		80
DU:		95
PH:		57
PA:		59
SC:		55
DF:		84
Simon Edvinsson

AGE:21
SK:		77
EN:		85
DU:		96
PH:		63
PA:		65
SC:		61
DF:		84
Scott Mayfield

AGE:32
SK:		75
EN:		78
DU:		88
PH:		52
PA:		47
SC:		56
DF:		85
Mattias Samuelsson

AGE:24
SK:		75
EN:		82
DU:		85
PH:		56
PA:		53
SC:		58
DF:		77

Jani Hakanpaa

AGE:32
SK:		75
EN:		55
DU:		50
PH:		53
PA:		53
SC:		54
DF:		82
Maxence Guenette

AGE:23
SK:		75
EN:		62
DU:		57
PH:		44
PA:		40
SC:		49
DF:		70
Tim Berni

AGE:24
SK:		75
EN:		55
DU:		50
PH:		47
PA:		43
SC:		52
DF:		61
Calle Sjalin

AGE:25
SK:		75
EN:		55
DU:		50
PH:		35
PA:		36
SC:		34
DF:		56
Jeremy Roy

AGE:27
SK:		75
EN:		55
DU:		50
PH:		30
PA:		30
SC:		30
DF:		52

Lukas Dostal

AGE:24
SK:		86
AG:		83
RB:		83
SC:		81
HS:		80
RT:		81
DF:		78
Jeremy Swayman

AGE:26
SK:		86
AG:		81
RB:		77
SC:		77
HS:		78
RT:		77
DF:		78
Maxime Lagace

AGE:31
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

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
David Hrenak	Wild	2032	181
Linus Lindstrand Cronholm	Wild	2032	151
Petr Kvaca	Wild	2031	158
Tyler Weiss	Wild	2032	134

Draft Picks

Draft Picks
Year	R1	R2	R3	R4	R5	R6	R7
2041
2042

Wild Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Zach Hamill	1612	278	465	743	-74	1607	2208	2078	2923	9.51%	907	26437	16.40	54	89	143	326	4	4	8	69	45	14	52.91%	6	0.56	10	39
2	Francois Beauchemin	884	179	490	669	-111	1329	2359	1636	2118	8.45%	1485	23036	26.06	98	173	271	1105	2	7	9	20	26	13	100.00%	0	0.58	0	3
3	David Perron	788	259	338	597	14	657	1477	1099	2435	10.64%	124	15983	20.28	73	142	215	610	4	3	7	24	38	17	34.35%	3	0.75	16	58
4	Artem Anisimov	702	220	307	527	13	208	519	1793	2031	10.83%	192	15234	21.70	65	126	191	543	2	9	11	33	32	20	52.46%	3	0.69	11	45
5	Blake Wheeler	389	203	268	471	29	558	1242	859	1910	10.63%	89	9045	23.25	78	118	196	546	4	2	6	36	40	14	34.94%	10	1.04	7	43

Wild Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Niklas Backstrom	477	217	195	46	0.902	3.00	27758	41	13	1389	14212	2928	26	10	0.800	250
2	Andrei Vasilevskiy	146	92	41	10	0.904	2.72	8628	8	4	391	4074	0	6	5	0.759	54
3	Cam Ward	139	58	70	11	0.893	3.16	8194	20	5	432	4056	0	9	4	0.705	61
4	Ben Scrivens	111	54	32	15	0.905	2.86	6241	10	1	297	3136	0	6	0	0.743	74
5	Viktor Fasth	121	54	41	14	0.890	3.29	6647	17	2	364	3311	0	6	1	0.617	47

Wild Career Team Stats

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	38	28	0	3	3	6	4	269	251	18	41	22	13	0	1	1	1	3	138	118	20	41	16	15	0	2	2	5	1	131	133	-2	85	269	439	708	0	2	0	81	90	89	2772	0	886	993	869	2542	807	1360	1952	300	54	18.00%	171	21	87.72%	2	1141	2128	53.62%	1041	1979	52.60%	715	1356	52.73%	1735	968	1901	834	1511	758
2018	82	23	38	0	2	6	6	7	206	251	-45	41	11	17	0	2	4	4	3	106	128	-22	41	12	21	0	0	2	2	4	100	123	-23	56	206	327	533	2	2	0	44	74	80	2388	0	676	842	826	2568	875	1153	1663	222	36	16.22%	227	41	81.94%	4	957	1954	48.98%	1000	2021	49.48%	666	1299	51.27%	1595	814	1787	795	1617	810
2019	82	27	31	0	3	5	6	10	240	261	-21	41	8	20	0	2	4	2	5	106	148	-42	41	19	11	0	1	1	4	5	134	113	21	65	240	370	610	2	1	0	56	82	93	2565	0	730	896	886	2580	757	1100	1729	219	52	23.74%	235	42	82.13%	7	1028	2048	50.20%	1074	2093	51.31%	666	1236	53.88%	1604	835	1827	804	1588	791
2020	82	27	38	0	5	2	7	3	228	240	-12	41	14	18	0	3	1	3	2	111	119	-8	41	13	20	0	2	1	4	1	117	121	-4	66	228	345	573	3	2	0	56	89	71	2481	0	727	891	837	2607	835	1129	1844	218	37	16.97%	238	35	85.29%	2	1054	2023	52.10%	938	2074	45.23%	595	1167	50.99%	1620	860	1809	795	1551	754
2021	82	24	39	0	7	2	7	3	242	253	-11	41	15	20	0	3	0	2	1	119	121	-2	41	9	19	0	4	2	5	2	123	132	-9	64	242	416	658	2	1	0	83	62	83	2551	0	791	821	895	2527	737	886	1789	415	77	18.55%	360	79	78.06%	2	1504	3016	49.87%	1429	2983	47.90%	607	1296	46.84%	1934	1314	1998	628	1054	520
2022	82	35	35	0	2	3	3	4	257	263	-6	41	18	17	0	2	2	0	2	123	132	-9	41	17	18	0	0	1	3	2	134	131	3	77	257	469	726	2	5	0	82	98	72	2584	0	843	911	807	2521	752	894	1766	416	86	20.67%	348	78	77.59%	5	1424	3062	46.51%	1393	2934	47.48%	650	1332	48.80%	1974	1340	1943	618	1045	530
2023	82	41	23	0	2	4	7	5	281	241	40	41	21	11	0	1	2	4	2	147	125	22	41	20	12	0	1	2	3	3	134	116	18	90	281	484	765	1	2	0	99	90	83	2670	0	884	869	890	2404	734	920	1777	483	100	20.70%	363	77	78.79%	3	1561	3174	49.18%	1376	2956	46.55%	618	1328	46.54%	1999	1373	1956	622	1038	525
2024	82	34	34	0	5	2	4	3	298	290	8	41	16	19	0	1	2	2	1	153	151	2	41	18	15	0	4	0	2	2	145	139	6	91	298	541	839	0	2	0	118	96	75	2719	0	847	924	916	2510	672	894	1730	467	112	23.98%	355	71	80.00%	3	1591	3167	50.24%	1420	3039	46.73%	682	1353	50.41%	1977	1348	1953	629	1045	527
2025	82	26	36	0	5	5	4	6	265	288	-23	41	11	17	0	3	3	3	4	131	145	-14	41	15	19	0	2	2	1	2	134	143	-9	81	265	480	745	1	0	0	101	94	61	2600	0	845	884	838	2529	718	877	1809	419	100	23.87%	355	88	75.21%	5	1521	3053	49.82%	1465	2998	48.87%	652	1343	48.55%	1981	1348	1949	627	1055	529
2026	82	40	23	0	2	2	8	7	306	249	57	41	23	10	0	1	2	3	2	155	117	38	41	17	13	0	1	0	5	5	151	132	19	109	306	546	852	1	3	0	109	98	89	2825	0	890	956	935	2571	781	1018	1843	444	118	26.58%	404	70	82.67%	1	1626	3259	49.89%	1506	3104	48.52%	621	1304	47.62%	1998	1368	1963	631	1039	521
2027	82	31	34	0	4	3	7	3	252	270	-18	41	15	16	0	3	0	5	2	132	127	5	41	16	18	0	1	3	2	1	120	143	-23	90	252	440	692	2	4	0	88	73	80	2614	0	812	867	897	2431	706	1039	1789	444	92	20.72%	431	86	80.05%	2	1695	3091	54.84%	1491	2949	50.56%	666	1322	50.38%	1991	1350	1934	624	1056	536
2030	82	25	45	0	1	0	4	7	218	260	-42	41	11	23	0	0	0	3	4	106	135	-29	41	14	22	0	1	0	1	3	112	125	-13	67	218	379	597	2	2	0	86	65	62	2280	0	776	725	754	2431	716	998	1838	431	85	19.72%	455	91	80.00%	7	1397	2819	49.56%	1422	2998	47.43%	617	1276	48.35%	1991	1356	1941	626	1044	521
2031	82	25	42	0	2	6	1	6	230	313	-83	41	14	21	0	0	2	1	3	119	168	-49	41	11	21	0	2	4	0	3	111	145	-34	68	230	415	645	1	2	0	85	74	68	2428	0	772	807	816	2725	793	1071	1832	390	73	18.72%	440	98	77.73%	4	1464	2856	51.26%	1480	3023	48.96%	692	1379	50.18%	1871	1260	2058	630	1043	510
2032	82	23	45	0	0	3	4	7	234	298	-64	41	11	23	0	0	1	3	3	113	151	-38	41	12	22	0	0	2	1	4	121	147	-26	64	234	414	648	3	0	0	86	76	68	2493	0	862	858	745	2752	804	1014	1822	414	67	16.18%	408	76	81.37%	5	1430	2981	47.97%	1493	3110	48.01%	658	1360	48.38%	1887	1271	2047	636	1047	516
2033	82	51	19	0	1	1	7	3	319	224	95	41	29	9	0	0	0	3	0	180	117	63	41	22	10	0	1	1	4	3	139	107	32	122	319	562	881	3	3	0	101	103	107	2674	0	871	870	906	2287	661	1007	1798	451	96	21.29%	420	77	81.67%	6	1752	3138	55.83%	1537	2833	54.25%	717	1350	53.11%	2141	1511	1806	595	1026	528
2034	82	39	32	0	1	3	2	5	305	279	26	41	22	14	0	1	2	0	2	155	118	37	41	17	18	0	0	1	2	3	150	161	-11	92	305	540	845	1	3	0	117	101	84	2967	0	956	990	1004	2480	707	941	1811	426	94	22.07%	410	78	80.98%	6	1879	3288	57.15%	1514	2876	52.64%	705	1341	52.57%	2043	1427	1898	611	1024	512
2035	82	53	18	0	2	1	3	5	336	243	93	41	28	7	0	1	0	2	3	174	115	59	41	25	11	0	1	1	1	2	162	128	34	122	336	594	930	3	4	0	122	100	109	3063	0	990	953	1083	2461	724	881	1689	425	92	21.65%	374	68	81.82%	4	1832	3363	54.48%	1583	2905	54.49%	748	1393	53.70%	2054	1442	1882	598	1030	527
2036	82	56	14	0	5	3	2	2	369	238	131	41	31	4	0	3	1	1	1	177	109	68	41	25	10	0	2	2	1	1	192	129	63	131	369	663	1032	1	3	0	125	138	99	3089	0	1072	989	993	2390	682	1015	1771	483	122	25.26%	404	78	80.69%	8	1880	3298	57.00%	1576	2894	54.46%	753	1377	54.68%	2135	1511	1806	592	1017	524
2037	82	23	42	0	6	4	3	4	295	344	-49	41	13	19	0	4	1	2	2	158	169	-11	41	10	23	0	2	3	1	2	137	175	-38	72	295	540	835	5	1	106	88	92	10	2510	832	759	888	55	2733	752	1033	1879	359	73	20.33%	448	112	75.00%	5	1340	2832	47.32%	1416	2972	47.64%	709	1459	48.59%	1886	1283	2047	615	1039	505
2038	82	47	24	0	1	6	2	2	319	265	54	41	26	10	0	0	4	0	1	172	135	37	41	21	14	0	1	2	2	1	147	130	17	108	319	568	887	0	3	114	111	91	5	2837	932	932	955	35	2573	685	891	1742	425	102	24.00%	377	70	81.43%	3	1573	3091	50.89%	1462	2918	50.10%	706	1387	50.90%	2019	1408	1910	596	1022	519
Total Regular Season	1640	688	640	0	59	64	93	96	5469	5321	148	820	359	308	0	31	32	44	46	2775	2648	127	820	329	332	0	28	32	49	50	2694	2673	21	1720	5469	9532	15001	35	45	220	1838	1786	1488	53110	1764	16921	17889	15987	50622	14898	20121	35873	7851	1668	21.25%	7223	1436	80.12%	84	29649	57641	51.44%	27616	55659	49.62%	13443	26658	50.43%	38441	25397	38423	13116	22898	11471
Playoff
2017	22	13	9	0	0	0	0	0	67	59	8	12	9	3	0	0	0	0	0	40	23	17	10	4	6	0	0	0	0	0	27	36	-9	26	67	119	186	0	0	0	17	25	24	696	0	189	259	237	670	209	241	593	39	6	15.38%	40	4	90.00%	0	255	529	48.20%	253	497	50.91%	177	333	53.15%	451	244	2382	1049	434	212
2023	6	2	4	0	0	0	0	0	14	22	-8	3	2	1	0	0	0	0	0	11	10	1	3	0	3	0	0	0	0	0	3	12	-9	4	14	23	37	0	0	0	2	5	5	152	0	47	40	55	232	59	81	132	28	9	32.14%	36	11	69.44%	0	97	199	48.74%	116	275	42.18%	46	103	44.66%	141	91	163	50	82	40
2026	4	0	4	0	0	0	0	0	12	22	-10	2	0	2	0	0	0	0	0	8	13	-5	2	0	2	0	0	0	0	0	4	9	-5	0	12	21	33	0	0	0	3	4	5	135	0	56	39	40	138	38	55	94	16	3	18.75%	24	6	75.00%	0	80	157	50.96%	79	154	51.30%	41	80	51.25%	88	58	102	31	49	23
2027	5	1	4	0	0	0	0	0	14	25	-11	2	1	1	0	0	0	0	0	10	9	1	3	0	3	0	0	0	0	0	4	16	-12	2	14	25	39	0	0	0	4	7	3	150	0	46	55	49	200	48	62	138	22	4	18.18%	30	8	73.33%	0	85	181	46.96%	92	205	44.88%	40	90	44.44%	112	75	126	37	61	30
2033	6	2	4	0	0	0	0	0	11	24	-13	3	1	2	0	0	0	0	0	6	8	-2	3	1	2	0	0	0	0	0	5	16	-11	4	11	20	31	1	0	0	2	5	3	179	0	53	62	62	193	37	78	113	30	2	6.67%	35	9	74.29%	0	121	218	55.50%	123	234	52.56%	54	95	56.84%	147	102	138	44	75	36
2034	5	1	4	0	0	0	0	0	12	23	-11	2	0	2	0	0	0	0	0	4	9	-5	3	1	2	0	0	0	0	0	8	14	-6	2	12	21	33	0	0	0	3	6	3	147	0	52	56	39	185	48	57	110	18	2	11.11%	25	8	68.00%	0	82	189	43.39%	91	178	51.12%	36	79	45.57%	113	74	121	37	64	31
2035	13	6	7	0	0	0	0	0	53	46	7	7	3	4	0	0	0	0	0	29	25	4	6	3	3	0	0	0	0	0	24	21	3	12	53	88	141	0	0	0	22	14	16	469	0	145	158	135	462	123	170	311	61	15	24.59%	67	9	86.57%	0	286	511	55.97%	304	532	57.14%	126	241	52.28%	326	225	327	102	170	84
2036	15	10	5	0	0	0	0	0	64	51	13	8	7	1	0	0	0	0	0	39	27	12	7	3	4	0	0	0	0	0	25	24	1	20	64	118	182	0	1	0	18	21	24	494	0	157	156	168	527	141	184	352	58	16	27.59%	86	18	79.07%	0	288	546	52.75%	324	588	55.10%	142	275	51.64%	366	255	366	109	186	92
2038	7	3	4	0	0	0	0	0	22	26	-4	3	1	2	0	0	0	0	0	10	12	-2	4	2	2	0	0	0	0	0	12	14	-2	6	22	39	61	0	0	11	7	4	0	189	82	68	39	0	269	77	113	157	34	7	20.59%	46	8	82.61%	1	99	215	46.05%	141	295	47.80%	46	109	42.20%	147	98	185	53	87	41
Total Playoff	83	38	45	0	0	0	0	0	269	298	-29	42	24	18	0	0	0	0	0	157	136	21	41	14	27	0	0	0	0	0	112	162	-50	76	269	474	743	1	1	11	78	91	83	2611	82	813	864	785	2876	780	1041	2000	306	64	20.92%	389	81	79.18%	1	1393	2745	50.75%	1523	2958	51.49%	708	1405	50.39%	1895	1226	3913	1515	1210	593

Wild Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKS	GW	GT	FO%	HT	P/20
1	Zach Hamill	396	67	119	186	28	241	593	507	696	9.63%	209	6744	17.03	6	9	15	24	6	13	4	50.40%	2	0.55
2	Aleksander Barkov	31	15	27	42	5	2	22	96	140	10.71%	9	669	21.61	3	9	12	32	3	2	1	56.80%	0	1.25
3	Jason Robertson	28	23	17	40	8	10	27	57	143	16.08%	3	591	21.13	9	3	12	33	0	3	0	41.07%	0	1.35
4	Brayden Schenn	39	12	20	32	-8	46	132	72	118	10.17%	5	728	18.69	3	11	14	36	3	3	0	53.04%	0	0.88
5	Sam Reinhart	39	12	18	30	-7	2	8	60	113	10.62%	2	734	18.83	4	8	12	25	0	4	1	50.00%	0	0.82

Wild Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A
1	Ben Bishop	23	13	7	2	0.912	2.60	1364	2	0	59	670	291	0
2	Ilya Sorokin	15	10	3	2	0.903	3.33	918	4	1	51	527	0	0
3	Thomas Greiss	10	4	4	0	0.889	3.61	548	0	0	33	298	0	2
4	Jeremy Swayman	7	3	3	1	0.903	3.72	419	2	0	26	269	0	1
5	Mike Smith	6	2	3	1	0.913	3.12	366	6	0	19	218	0	0