Winnipeg Jets
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Career Team Stats

Game Center
	Wranglers 4-1-0, 8pts	3	FINAL	2	Griffins 1-4-0, 2pts

Team Stats
W3	Streak	L3
2-1-0	Home Record	0-2-0
2-0-0	Home Record	1-2-0
4-1-0	Last 10 Games	1-3-1
5.20	Goals Per Game	4.40
4.40	Goals Against Per Game	5.20
33.33%	Power Play Percentage	14.29%
85.71%	Penalty Kill Percentage	66.67%

Griffins
1-4-0, 2pts

FINAL

Wranglers
4-1-0, 8pts

Team Stats
L3	Streak	W3
0-2-0	Home Record	2-1-0
1-2-0	Home Record	2-0-0
1-3-1	Last 10 Games	4-1-0
4.40	Goals Per Game	5.20
5.20	Goals Against Per Game	4.40
14.29%	Power Play Percentage	33.33%
66.67%	Penalty Kill Percentage	85.71%

Team Leaders
	Goals Mason Appleton 6	Assists Mason Appleton 7

	Points Mason Appleton 13	Plus/Minus Tyler Tucker 4

	Wins Justus Annunen 4	Save Percentage Justus Annunen 0.887

Team Stats
Goals For 26 5.20 GFG	Shots For 219 43.80 Avg	Power Play Percentage 33.3% 7 GF	Offensive Zone Start 40.4%
Goals Against 22 4.40 GAA	Shots Against 199 39.80 Avg	Penalty Kill Percentage 85.7%% 2 GA	Defensive Zone Start 39.4%

Team Info
	General Manager	Dan Villeneuve
	Coach	Lanny McDonald
	Division	Central
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	27
	Farm Team	20
	Contract Limit	47 / 50
	Prospects	30

Show or Hide Columns

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	Mason Appleton	X				100.00	71	56	86	67	70	76	83	70	50	65	66	69	50	69	69	0	90	65	0	30	3	500,000$
2	Vladimir Tarasenko			X		100.00	69	55	96	71	78	76	91	69	50	70	62	59	50	75	73	0	69	65	0	34	1	6,000,000$
3	Connor Zary	X				100.00	64	56	86	71	64	74	88	71	56	65	67	63	54	61	61	0	79	64	0	24	2	500,000$
4	Aatu Raty (R)	X				100.00	80	58	79	70	71	65	59	78	80	63	71	58	51	60	64	0	92	63	0	23	4	500,000$
5	Taylor Raddysh			X		100.00	67	56	88	67	72	71	90	69	50	68	56	60	50	65	65	0	85	63	0	28	1	1,000,000$
6	John Beecher	X				100.00	72	58	84	64	80	69	88	58	71	60	51	69	50	61	64	0	84	61	0	25	3	500,000$
7	Anthony Duclair		X			100.00	64	56	89	66	71	76	66	62	50	61	64	58	53	70	68	0	84	61	0	30	4	1,750,000$
8	Oliver Wahlstrom			X		100.00	68	65	86	66	74	66	63	66	50	62	52	60	68	66	65	0	84	60	0	25	1	500,000$
9	Cam Atkinson			X		100.00	55	64	92	64	60	62	61	68	50	60	56	59	50	81	75	0	84	59	0	36	1	500,000$
10	Riley Tufte		X			100.00	50	43	68	57	83	50	51	49	50	50	49	50	50	66	64	0	84	52	0	28	3	500,000$
11	Erik Gustafsson				X	100.00	61	58	83	73	67	70	76	70	50	66	50	64	55	76	73	0	65	64	0	34	3	1,000,000$
12	Parker Wotherspoon				X	100.00	74	57	90	62	68	73	73	69	50	60	54	72	55	68	69	0	89	64	0	28	3	500,000$
13	Tyler Tucker				X	100.00	78	77	74	61	73	65	63	65	50	56	56	71	56	63	66	0	86	62	0	26	3	850,000$
14	Nikolas Matinpalo (R)				X	100.00	66	60	75	61	76	63	63	65	50	56	52	67	55	66	67	0	83	61	0	27	1	500,000$
15	Tyson Barrie				X	100.00	60	58	84	65	70	52	55	62	50	55	52	60	65	79	75	0	85	59	0	34	1	1,500,000$
Scratches
1	Justin Brazeau			X		100.00	78	56	93	69	82	70	86	68	50	64	64	60	50	65	64	0	63	64	0	28	3	500,000$
2	Zack Ostapchuk (R)	X				100.00	79	65	81	63	77	65	71	58	65	58	50	63	50	56	58	0	28	58	0	22	2	500,000$
3	Joshua Roy (R)			X		100.00	50	55	90	57	68	51	53	50	50	50	50	50	51	61	62	0	20	51	0	22	2	500,000$
4	Liam Foudy	X				100.00	50	35	89	57	66	50	50	50	50	50	50	50	50	60	61	0	20	51	0	26	2	500,000$
5	Sonny Milano		X			100.00	50	35	89	57	69	50	50	50	50	50	50	50	50	67	65	0	20	51	0	29	1	500,000$
6	Samuel Honzek		X			100.00	50	40	79	57	67	50	52	50	50	50	50	50	50	51	55	0	20	50	0	21	4	550,000$
7	Juuso Välimäki				X	100.00	63	58	83	61	72	70	66	64	50	56	50	71	55	66	68	0	56	62	0	27	2	500,000$
8	Ben Hutton				X	100.00	52	50	99	57	75	50	53	50	50	50	50	51	55	74	72	0	20	54	0	33	1	500,000$
9	Kirill Kudryavtsev				X	100.00	50	35	94	57	71	50	52	50	50	50	50	50	55	55	61	0	19	52	0	22	3	675,000$
10	Matt Kiersted				X	100.00	50	45	53	57	64	50	52	50	50	51	50	50	55	65	69	0	20	52	0	28	4	550,000$

	TEAM AVERAGE					100.00	63	54	84	63	72	63	66	61	53	58	55	59	53	66	66	0	61	59

Show or Hide Columns

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	Justus Annunen (R)	100.00	70	77	74	78	68	80	72	69	70	54	50	61	64	0	81	69	0	26	2	500,000$
2	Arturs Silovs (R)	100.00	55	65	62	77	50	50	50	50	50	50	50	58	58	0	91	55	0	25	2	2,500,000$
Scratches

	TEAM AVERAGE	100.00	63	71	68	78	59	65	61	60	60	52	50	60	61	0	86	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Lanny McDonald	75	85	95	80	70	80	1	CAN	72	5	500,000$

Show or Hide Columns

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	S1	S2	S3
1	Mason Appleton	Wranglers (WPG)	C	5	6	7	13	2	0	9	16	32	7	19	18.75%	1	131	26.32	2	3	5	3	14	1	16	2	1	58.65%	133	1	1.98	3	0	0
2	Vladimir Tarasenko	Wranglers (WPG)	RW	5	5	4	9	-3	0	4	8	25	7	18	20.00%	1	142	28.55	1	3	4	6	13	1	14	0	0	53.06%	49	0	1.26	0	2	0
3	Aatu Raty	Wranglers (WPG)	C	5	4	3	7	-3	4	9	14	23	11	19	17.39%	1	95	19.05	2	0	2	8	20	0	7	1	0	67.65%	136	0	1.47	1	0	1
4	Oliver Wahlstrom	Wranglers (WPG)	RW	5	2	5	7	2	0	7	3	18	3	5	11.11%	3	111	22.27	0	0	0	0	0	0	0	0	1	50.00%	4	0	1.26	0	2	0
5	Cam Atkinson	Wranglers (WPG)	RW	5	3	3	6	2	0	0	4	13	8	8	23.08%	1	74	14.90	0	0	0	1	1	0	0	0	0	50.00%	4	0	1.61	0	0	1
6	Parker Wotherspoon	Wranglers (WPG)	D	5	2	4	6	2	0	15	10	23	5	11	8.70%	16	129	25.90	2	0	2	17	16	1	14	0	1	0%	0	0	0.93	0	0	1
7	Tyler Tucker	Wranglers (WPG)	D	5	1	5	6	4	0	11	8	12	4	15	8.33%	5	91	18.21	0	3	3	10	18	0	11	0	0	0%	0	0	1.32	0	0	2
8	Anthony Duclair	Wranglers (WPG)	LW	5	1	4	5	-2	2	2	8	16	7	10	6.25%	1	81	16.28	0	3	3	5	14	0	0	0	0	33.33%	6	0	1.23	0	0	0
9	John Beecher	Wranglers (WPG)	C	5	1	3	4	2	2	5	9	6	2	7	16.67%	1	60	12.01	0	0	0	0	0	0	4	0	0	63.51%	74	0	1.33	0	0	0
10	Tyson Barrie	Wranglers (WPG)	D	5	0	3	3	-7	6	11	2	3	1	2	0%	7	83	16.65	0	0	0	0	0	0	0	0	0	0%	0	0	0.72	0	0	0
11	Taylor Raddysh	Wranglers (WPG)	RW	5	1	2	3	1	0	9	5	15	4	12	6.67%	1	77	15.50	0	0	0	0	1	0	0	1	0	33.33%	3	0	0.77	0	1	0
12	Nikolas Matinpalo	Wranglers (WPG)	D	5	0	2	2	-7	6	12	5	5	1	3	0%	8	87	17.45	0	0	0	1	1	0	0	0	0	0%	0	0	0.46	0	0	0
13	Connor Zary	Wranglers (WPG)	C	5	0	1	1	1	2	3	12	15	6	15	0%	0	79	15.80	0	0	0	0	0	0	8	0	0	67.74%	93	0	0.25	0	0	0
14	Riley Tufte	Wranglers (WPG)	LW	5	0	1	1	-1	4	6	1	6	3	4	0%	3	109	21.83	0	0	0	2	20	0	0	0	0	75.00%	4	0	0.18	0	0	0
Team Total or Average				70	26	47	73	-7	26	103	105	212	69	148	12.26%	49	1353	19.34	7	12	19	53	121	3	77	4	3	62.45%	506	1	1.08	4	5	5

Show or Hide Columns

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	PCT	GAA	MP	PIM	GA	SA	A	PS %	ST	BG	S1
1	Justus Annunen	Wranglers (WPG)	5	4	0	0.887	4.24	269	2	19	168	1	0	5	0	1
2	Arturs Silovs	Wranglers (WPG)	1	0	1	0.903	5.14	35	0	3	31	0	0	0	5	0
Team Total or Average			6	4	1	0.889	4.34	304	2	22	199	1		5	5	1

Show or Hide Columns

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	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Aatu Raty	Wranglers (WPG)	C	23	2002-11-14	FIN	Yes	190 Lbs	6 ft2	No	No	Trade	2026-01-21	No	No	4	2025-07-25	False	False	Pro & Farm	500,000$	50,000$	7,143$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Anthony Duclair	Wranglers (WPG)	LW	30	1995-08-26	CAN	No	200 Lbs	6 ft0	No	No	Free Agent		No	No	4	2025-07-23	False	False	Pro & Farm	1,750,000$	175,000$	25,000$	No	1,750,000$	1,750,000$	1,750,000$	-	-	-	-	-	-	1,750,000$	1,750,000$	1,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Arturs Silovs	Wranglers (WPG)	G	25	2001-03-22	LVA	Yes	203 Lbs	6 ft4	No	No	Trade	2025-06-25	No	No	2		False	False	Pro & Farm	2,500,000$	250,000$	35,714$	No	2,500,000$	-	-	-	-	-	-	-	-	2,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ben Hutton	Wranglers (WPG)	D	33	1993-04-20	CAN	No	209 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	50,000$	7,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Cam Atkinson	Wranglers (WPG)	RW	36	1989-06-05	USA	No	178 Lbs	5 ft8	No	No	Free Agent		No	No	1	2024-09-06	False	False	Pro & Farm	500,000$	50,000$	7,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Connor Zary	Wranglers (WPG)	C	24	2001-09-25	CAN	No	178 Lbs	6 ft0	No	No	Trade	2025-02-01	No	No	2		False	False	Pro & Farm	500,000$	50,000$	7,143$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Erik Gustafsson	Wranglers (WPG)	D	34	1992-03-14	SWE	No	189 Lbs	6 ft1	No	No	Free Agent		No	No	3	2024-09-04	False	False	Pro & Farm	1,000,000$	100,000$	14,286$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
John Beecher	Wranglers (WPG)	C	25	2001-04-05	USA	No	220 Lbs	6 ft3	No	No	Free Agent		No	No	3	2024-09-03	False	False	Pro & Farm	500,000$	50,000$	7,143$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Joshua Roy	Wranglers (WPG)	RW	22	2003-08-06	CAN	Yes	192 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	7,143$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Justin Brazeau	Wranglers (WPG)	RW	28	1998-02-02	CAN	No	227 Lbs	6 ft6	No	No	Free Agent		No	No	3	2024-09-05	False	False	Pro & Farm	500,000$	50,000$	7,143$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Justus Annunen	Wranglers (WPG)	G	26	2000-03-11	FIN	Yes	210 Lbs	6 ft4	No	No	Trade	2025-07-25	No	No	2		False	False	Pro & Farm	500,000$	50,000$	7,143$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Juuso Välimäki	Wranglers (WPG)	D	27	1998-10-06	FIN	No	201 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	7,143$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Kirill Kudryavtsev	Wranglers (WPG)	D	22	2004-02-05	RUS	No	200 Lbs	5 ft11	No	No	Free Agent		No	No	3	2025-08-09	False	False	Pro & Farm	675,000$	67,500$	9,643$	No	675,000$	675,000$	-	-	-	-	-	-	-	675,000$	675,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Liam Foudy	Wranglers (WPG)	C	26	2000-02-04	CAN	No	186 Lbs	6 ft1	No	No	Free Agent		No	No	2	2024-09-08	False	False	Pro & Farm	500,000$	50,000$	7,143$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Mason Appleton	Wranglers (WPG)	C	30	1996-01-15	USA	No	194 Lbs	6 ft2	No	No	Free Agent		No	No	3	2025-08-07	False	False	Pro & Farm	500,000$	50,000$	7,143$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Matt Kiersted	Wranglers (WPG)	D	28	1998-04-14	USA	No	182 Lbs	6 ft0	No	No	Free Agent		No	No	4	2025-07-25	False	False	Pro & Farm	550,000$	55,000$	7,857$	No	550,000$	550,000$	550,000$	-	-	-	-	-	-	550,000$	550,000$	550,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Nikolas Matinpalo	Wranglers (WPG)	D	27	1998-10-05	FIN	Yes	211 Lbs	6 ft3	No	No	Trade	2025-07-24	No	No	1	2025-04-09	False	False	Pro & Farm	500,000$	50,000$	7,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Oliver Wahlstrom	Wranglers (WPG)	RW	25	2000-06-13	USA	No	205 Lbs	6 ft2	No	No	Trade	2025-11-18	No	No	1		False	False	Pro & Farm	500,000$	50,000$	7,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Parker Wotherspoon	Wranglers (WPG)	D	28	1997-08-24	CAN	No	192 Lbs	6 ft1	No	No	Free Agent		No	No	3	2024-09-04	False	False	Pro & Farm	500,000$	50,000$	7,143$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Riley Tufte	Wranglers (WPG)	LW	28	1998-04-10	USA	No	230 Lbs	6 ft6	No	No	Free Agent		No	No	3	2024-09-06	False	False	Pro & Farm	500,000$	50,000$	7,143$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Samuel Honzek	Wranglers (WPG)	LW	21	2004-11-12	SVK	No	186 Lbs	6 ft4	No	No	Free Agent	2025-07-11	No	No	4	2025-07-25	False	False	Pro & Farm	550,000$	55,000$	7,857$	No	550,000$	550,000$	550,000$	-	-	-	-	-	-	550,000$	550,000$	550,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Sonny Milano	Wranglers (WPG)	LW	29	1996-05-12	USA	No	194 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	50,000$	7,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Taylor Raddysh	Wranglers (WPG)	RW	28	1998-02-18	CAN	No	200 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	1,000,000$	100,000$	14,286$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tyler Tucker	Wranglers (WPG)	D	26	2000-03-01	CAN	No	204 Lbs	6 ft1	No	No	Free Agent		No	No	3	2025-07-27	False	False	Pro & Farm	850,000$	85,000$	12,143$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Tyson Barrie	Wranglers (WPG)	D	34	1991-07-26	CAN	No	197 Lbs	5 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	1,500,000$	150,000$	21,429$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Vladimir Tarasenko	Wranglers (WPG)	RW	34	1991-12-13	RUS	No	219 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	6,000,000$	600,000$	85,714$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Zack Ostapchuk	Wranglers (WPG)	C	22	2003-05-29	CAN	Yes	212 Lbs	6 ft4	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	7,143$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	27.44	200 Lbs	6 ft2	2.30	921,296$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Anthony Duclair	Mason Appleton	Vladimir Tarasenko	40	1	2	2
2	Riley Tufte	Aatu Raty		30	1	2	2
3	Vladimir Tarasenko	Connor Zary	Taylor Raddysh	20	1	2	2
4	Mason Appleton	John Beecher	Oliver Wahlstrom	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Parker Wotherspoon	40	1	2	2
2	Tyler Tucker		30	1	2	2
3	Nikolas Matinpalo	Tyson Barrie	20	1	2	2
4		Parker Wotherspoon	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Anthony Duclair	Mason Appleton	Vladimir Tarasenko	60	1	2	2
2	Riley Tufte	Aatu Raty		40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Parker Wotherspoon	60	1	2	2
2	Tyler Tucker		40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Vladimir Tarasenko	Mason Appleton	60	1	2	2
2	Aatu Raty	Connor Zary	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Parker Wotherspoon	60	1	2	2
2	Tyler Tucker		40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Vladimir Tarasenko	60	1	2	2		Parker Wotherspoon	60	1	2	2
2	Mason Appleton	40	1	2	2	Tyler Tucker		40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Vladimir Tarasenko	Mason Appleton	60	1	2	2
2	Aatu Raty	Connor Zary	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Parker Wotherspoon	60	1	2	2
2	Tyler Tucker		40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Anthony Duclair	Mason Appleton	Vladimir Tarasenko		Parker Wotherspoon

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Anthony Duclair	Mason Appleton	Vladimir Tarasenko		Parker Wotherspoon

Extra Forwards
Normal	PowerPlay	Penalty Kill
Cam Atkinson, Taylor Raddysh, John Beecher	Cam Atkinson, Taylor Raddysh	John Beecher

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Nikolas Matinpalo, Tyson Barrie, Tyler Tucker	Nikolas Matinpalo	Tyson Barrie, Tyler Tucker

Penalty Shots
Vladimir Tarasenko, Mason Appleton, Aatu Raty, Connor Zary,

Goalie
#1 : Justus Annunen, #2 : Arturs Silovs

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

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
1	Griffins	5	4	1	0	0	0	0	0	26	22	4	3	2	1	0	0	0	0	0	15	15	0	2	2	0	0	0	0	0	0	11	7	4	8	0.800	26	48	74	0	0	8	10	7	1	219	77	67	70	5	199	51	28	106	21	7	33.33%	14	2	85.71%	0	132	206	64.08%	120	201	59.70%	65	103	63.11%	148	111	93	32	62	34
	Total	5	4	1	0	0	0	0	0	26	22	4	3	2	1	0	0	0	0	0	15	15	0	2	2	0	0	0	0	0	0	11	7	4	8	0.800	26	48	74	0	0	8	10	7	1	219	77	67	70	5	199	51	28	106	21	7	33.33%	14	2	85.71%	0	132	206	64.08%	120	201	59.70%	65	103	63.11%	148	111	93	32	62	34
	_Since Last GM Reset	5	4	1	0	0	0	0	0	26	22	4	3	2	1	0	0	0	0	0	15	15	0	2	2	0	0	0	0	0	0	11	7	4	8	0.800	26	48	74	0	0	8	10	7	1	219	77	67	70	5	199	51	28	106	21	7	33.33%	14	2	85.71%	0	132	206	64.08%	120	201	59.70%	65	103	63.11%	148	111	93	32	62	34
	_Vs Conference	5	4	1	0	0	0	0	0	26	22	4	3	2	1	0	0	0	0	0	15	15	0	2	2	0	0	0	0	0	0	11	7	4	8	0.800	26	48	74	0	0	8	10	7	1	219	77	67	70	5	199	51	28	106	21	7	33.33%	14	2	85.71%	0	132	206	64.08%	120	201	59.70%	65	103	63.11%	148	111	93	32	62	34

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
5	8	W3	26	48	74	219	199	51	28	106	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	4	1	0	0	0	0	26	22

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	15	15

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	11	7

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	1	1	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
21	7	33.33%	14	2	85.71%	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
77	67	70	5	8	10	7	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
132	206	64.08%	120	201	59.70%	65	103	63.11%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
148	111	93	32	62	34

Last Played Games Show or Hide Columns

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	Link
2	6	Griffins	7	Wranglers	4	L		BoxScore
4	14	Griffins	4	Wranglers	5	W	X	BoxScore
6	22	Wranglers	8	Griffins	5	W		BoxScore
8	30	Wranglers	3	Griffins	2	W		BoxScore
10	38	Griffins	4	Wranglers	6	W		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
38	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	2,487,500$	2,487,500$	500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	27	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	2	0$	0$

Wranglers Players Stat Leaders (Regular Season)

Show or Hide Columns

#	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

Wranglers Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Wranglers Career Team Stats

Show or Hide Columns

	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

Wranglers Players Stat Leaders (Play-Off)

Show or Hide Columns

#	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

Wranglers Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Wranglers
	GP: 5 \| W: 4 \| L: 1 GF: 26 \| GA: 22 \| PP%: 33.33% \| PK%: 85.71% GM : Dan Villeneuve \| Morale : 86 \| Team Overall : 59