Jets
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Wheat Kings 23-18-2, 48pts	2	FINAL	1	Oil Kings 27-14-5, 59pts

Team Stats
W2	Streak	W1
9-12-1	Home Record	13-6-2
14-6-1	Home Record	14-8-3
7-3-0	Last 10 Games	4-4-2
3.63	Goals Per Game	3.30
3.47	Goals Against Per Game	3.00
18.52%	Power Play Percentage	21.21%
76.54%	Penalty Kill Percentage	78.97%

Griffins
26-12-4, 56pts

FINAL

Wheat Kings
23-18-2, 48pts

Team Stats
L1	Streak	W2
14-7-1	Home Record	9-12-1
12-5-3	Home Record	14-6-1
3-4-3	Last 10 Games	7-3-0
3.76	Goals Per Game	3.63
3.12	Goals Against Per Game	3.47
19.43%	Power Play Percentage	18.52%
80.00%	Penalty Kill Percentage	76.54%

Wheat Kings
23-18-2, 48pts

Day 100

Moose
13-27-3, 29pts

Team Stats
W2	Streak	L4
9-12-1	Home Record	8-14-0
14-6-1	Away Record	5-13-3
7-3-0	Last 10 Games	4-6-0
3.63	Goals Per Game	2.67
3.47	Goals Against Per Game	2.67
18.52%	Power Play Percentage	17.18%
76.54%	Penalty Kill Percentage	73.68%

Wolves
23-18-0, 46pts

Day 101

Wheat Kings
23-18-2, 48pts

Team Stats
L1	Streak	W2
13-9-0	Home Record	9-12-1
10-9-0	Away Record	14-6-1
6-4-0	Last 10 Games	7-3-0
3.63	Goals Per Game	3.63
3.24	Goals Against Per Game	3.63
17.03%	Power Play Percentage	18.52%
77.33%	Penalty Kill Percentage	76.54%

Wheat Kings
23-18-2, 48pts

Day 105

Monsters
21-19-4, 46pts

Team Stats
W2	Streak	W1
9-12-1	Home Record	10-9-3
14-6-1	Away Record	11-10-1
7-3-0	Last 10 Games	5-5-0
3.63	Goals Per Game	3.25
3.47	Goals Against Per Game	3.25
18.52%	Power Play Percentage	25.30%
76.54%	Penalty Kill Percentage	81.18%

Team Leaders
	Goals Connor McMichael 19	Assists Kevin Korchinski 29

	Points Connor McMichael 47	Plus/Minus Joe Snively 12

	Wins Jet Greaves 22	Save Percentage Jet Greaves 0.89

Team Stats
Goals For 156 3.63 GFG	Shots For 1327 30.86 Avg	Power Play Percentage 18.5% 30 GF	Offensive Zone Start 38.2%
Goals Against 149 3.47 GAA	Shots Against 1376 32.00 Avg	Penalty Kill Percentage 76.5%% 42 GA	Defensive Zone Start 41.5%

Team Info
	General Manager	Jared Snyder
	Coach	Paul Coffey
	Division	Central
	Conference	American
	Captain	Brett Sutter
	Assistant #1
	Assistant #2	Andy Welinski
Arena Info
	Capacity	3,000
	Attendance	2,686
	Season Tickets	0
Roster Info
	Pro Team	23
	Farm Team	18
	Contract Limit	41 / 250
	Prospects	48

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	Connor McMichael	X				100.00	64	47	76	74	66	71	75	63	67	60	67	66	57	58	56	0	50	66	0	23	2	1,950,000$
2	Joe Snively		X			100.00	57	56	72	63	62	68	64	64	56	66	60	66	62	65	59	0	50	63	0	29	1	900,000$
3	Jake Lucchini		X			100.00	69	57	85	64	69	61	61	56	59	61	59	70	55	60	59	0	50	63	0	29	1	750,000$
4	Garrett Wilson		X	X		100.00	62	56	54	61	74	67	68	59	55	58	58	63	54	74	64	0	50	62	0	33	1	800,000$
5	Isak Rosen	X	X	X		100.00	55	58	71	62	64	69	65	63	56	61	61	64	55	54	53	0	50	62	0	21	2	1,200,000$
6	Nate Sucese		X			100.00	55	57	68	63	58	69	66	61	55	57	61	62	54	65	59	0	50	61	0	28	1	750,000$
7	Adam Brooks	X				100.00	55	55	68	59	64	64	62	59	70	58	59	62	54	65	59	0	50	60	0	28	1	900,000$
8	Kyle Rau	X	X			100.00	55	56	68	60	58	66	64	60	55	59	58	62	54	72	63	0	50	60	0	32	1	750,000$
9	Brett Sutter (C)	X	X	X		100.00	56	58	67	59	66	65	64	57	55	56	58	61	54	81	68	0	50	60	0	37	1	750,000$
10	Nick Caamano			X		100.00	56	57	67	58	71	64	63	58	55	57	58	63	56	62	57	0	50	60	0	26	2	950,000$
11	Tyler Angle	X				100.00	56	54	70	58	61	65	63	58	70	57	58	61	55	59	55	0	50	59	0	24	1	750,000$
12	Ryan McAllister	X				100.00	55	56	69	58	61	60	59	57	55	56	56	61	54	56	54	0	50	58	0	23	2	1,500,000$
13	Kevin Korchinski				X	100.00	58	38	80	76	66	79	72	54	38	55	57	63	51	53	55	0	50	62	0	20	2	1,200,000$
14	Dillon Heatherington				X	100.00	55	54	67	59	75	67	65	56	40	56	55	65	54	67	60	0	50	60	0	29	1	750,000$
15	Billy Sweezey				X	100.00	57	55	65	56	70	67	64	55	40	56	54	64	54	65	59	0	50	59	0	28	1	750,000$
16	Andy Welinski (A)				X	100.00	55	54	68	59	68	63	61	56	40	56	55	61	54	70	62	0	50	59	0	31	1	750,000$
17	Taylor Fedun				X	100.00	56	54	67	57	68	64	62	56	40	57	54	63	54	79	66	0	50	59	0	36	1	750,000$
18	Joseph Duszak				X	100.00	54	51	62	57	56	64	63	59	38	59	54	60	51	61	55	0	50	58	0	27	2	950,000$
Scratches
1	Zack Ostapchuk	X				100.00	55	52	67	58	71	67	64	57	67	55	58	63	52	52	51	0	50	59	0	21	2	1,000,000$
2	Vincent Sevigny				X	100.00	55	55	68	56	70	62	61	56	40	55	55	61	54	56	54	0	50	58	0	23	1	1,000,000$
3	Luka Profaca				X	100.00	55	54	68	55	67	61	60	54	40	54	54	61	54	55	53	0	50	57	0	22	1	1,500,000$

	TEAM AVERAGE					100.00	57	54	69	61	66	66	64	58	52	58	58	63	54	63	58	0	50	60

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	Jet Greaves	100.00	69	69	69	59	69	61	70	72	63	66	63	55	52	0	50	66	0	23	1	1,500,000$
2	Zach Sawchenko	100.00	58	59	59	60	66	55	68	59	59	59	67	63	57	0	50	60	0	27	2	750,000$
Scratches

	TEAM AVERAGE	100.00	64	64	64	60	68	58	69	66	61	63	65	59	55	0	50	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Paul Coffey	60	60	60	60	53	50	1	CAN	63	2	250,000$

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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	FL	FT	S1	S2	S3
1	Connor McMichael	Wheat Kings (Jet)	C	43	19	28	47	10	24	0	96	186	157	32	119	12.10%	5	944	21.97	5	4	9	32	141	0	1	1	4	162	2	1	51.40%	1430	0	0	1.00	0	0	4	3	0
2	Joe Snively	Wheat Kings (Jet)	LW	43	16	26	42	12	16	0	61	107	157	43	75	10.19%	20	935	21.76	3	7	10	28	140	1	1	2	8	156	3	0	38.67%	75	1	0	0.90	0	0	3	3	4
3	Isak Rosen	Wheat Kings (Jet)	C/LW/RW	43	18	23	41	4	15	5	47	83	131	42	117	13.74%	8	877	20.41	4	6	10	30	164	0	0	0	1	71	2	1	48.77%	244	0	1	0.93	0	1	1	2	3
4	Kevin Korchinski	Wheat Kings (Jet)	D	43	8	29	37	4	22	0	90	61	65	31	55	12.31%	69	1030	23.96	4	7	11	35	142	0	1	1	4	145	1	0	0%	0	0	0	0.72	0	0	4	1	2
5	Garrett Wilson	Wheat Kings (Jet)	LW/RW	43	12	19	31	10	36	0	120	52	111	31	86	10.81%	7	750	17.45	2	5	7	21	129	0	0	0	2	47	2	0	54.32%	81	0	0	0.83	0	0	3	3	0
6	Jake Lucchini	Wheat Kings (Jet)	LW	43	12	19	31	6	16	0	60	79	128	36	108	9.38%	7	763	17.75	4	6	10	24	125	0	0	0	2	73	6	0	51.56%	64	0	0	0.81	0	0	1	1	1
7	Nate Sucese	Wheat Kings (Jet)	LW	43	15	14	29	5	14	0	42	77	82	31	70	18.29%	7	580	13.49	2	3	5	10	85	0	0	0	0	25	1	1	50.65%	77	0	0	1.00	0	0	1	2	3
8	Dillon Heatherington	Wheat Kings (Jet)	D	43	5	15	20	2	30	0	102	53	51	23	38	9.80%	60	1007	23.44	0	5	5	29	134	1	0	1	1	133	0	0	0%	0	0	0	0.40	0	0	0	0	3
9	Taylor Fedun	Wheat Kings (Jet)	D	43	3	17	20	7	44	0	88	40	27	8	14	11.11%	45	680	15.83	1	0	1	2	19	0	0	0	1	44	0	0	0%	0	1	0	0.59	0	0	0	0	2
10	Billy Sweezey	Wheat Kings (Jet)	D	43	3	16	19	5	52	0	86	41	44	16	36	6.82%	56	872	20.28	2	7	9	22	123	0	0	0	0	109	1	0	0%	0	0	0	0.44	0	0	1	0	1
11	Andy Welinski	Wheat Kings (Jet)	D	43	6	13	19	7	18	0	61	36	48	26	39	12.50%	46	887	20.64	1	4	5	19	125	0	0	0	1	124	1	0	0%	0	0	0	0.43	0	0	1	0	0
12	Adam Brooks	Wheat Kings (Jet)	C	43	10	8	18	10	6	0	25	97	70	24	63	14.29%	6	566	13.17	0	1	1	1	4	0	0	0	0	0	0	1	54.96%	686	0	0	0.64	0	0	1	0	1
13	Tyler Angle	Wheat Kings (Jet)	C	43	7	10	17	3	16	0	44	65	52	16	42	13.46%	3	469	10.92	0	0	0	0	0	0	0	0	0	0	1	1	53.69%	542	0	0	0.72	0	0	0	1	1
14	Brett Sutter	Wheat Kings (Jet)	C/LW/RW	43	5	10	15	4	19	5	41	38	62	27	52	8.06%	8	534	12.44	1	0	1	2	22	0	0	0	0	28	1	1	47.46%	59	0	0	0.56	1	0	1	0	0
15	Kyle Rau	Wheat Kings (Jet)	C/LW	43	7	5	12	-4	13	5	30	36	51	11	37	13.73%	6	373	8.69	0	0	0	0	4	0	0	0	0	2	2	2	60.42%	48	0	0	0.64	1	0	0	1	1
16	Joseph Duszak	Wheat Kings (Jet)	D	42	3	9	12	5	36	0	80	29	17	4	17	17.65%	33	620	14.78	1	0	1	2	4	0	0	0	0	11	0	0	0%	0	0	0	0.39	0	0	0	0	0
17	Ryan McAllister	Wheat Kings (Jet)	C	39	5	6	11	-3	10	0	21	49	38	10	19	13.16%	4	301	7.73	0	0	0	0	0	0	0	0	0	0	0	0	45.03%	322	0	0	0.73	0	0	0	1	0
18	Nick Caamano	Wheat Kings (Jet)	RW	40	2	7	9	-3	11	5	19	34	36	20	32	5.56%	2	313	7.83	0	0	0	2	8	0	0	0	0	0	0	1	35.71%	14	0	0	0.57	1	0	1	0	0
19	Vincent Sevigny	Wheat Kings (Jet)	D	3	0	4	4	3	4	0	2	2	0	0	1	0%	3	21	7.22	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	3.69	0	0	0	0	0
20	Zack Ostapchuk	Wheat Kings (Jet)	C	1	0	0	0	0	0	0	0	0	0	0	0	0%	0	1	1.25	0	0	0	0	0	0	0	0	0	0	0	0	0%	2	0	0	0	0	0	0	0	0
Team Total or Average				770	156	278	434	87	402	20	1115	1165	1327	431	1020	11.76%	395	12532	16.28	30	55	85	259	1377	2	3	5	24	1136	23	9	51.43%	3644	2	1	0.69	3	1	22	18	22

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	OTL	PCT	GAA	MP	PIM	GA	SA	A	EG	PS %	ST	BG	S1	S2	S3
1	Jet Greaves	Wheat Kings (Jet)	43	22	17	1	0.890	3.51	2411	4	141	1285	3	1	0	43	0	2	2	1
2	Zach Sawchenko	Wheat Kings (Jet)	5	1	1	1	0.922	2.43	173	0	7	90	1	0	0	0	43	0	0	0
Team Total or Average			48	23	18	2	0.892	3.44	2585	4	148	1375	4	1		43	43	2	2	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
Adam Brooks	Wheat Kings (Jet)	C	28	1996-05-06	CAN	No	178 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Andy Welinski	Wheat Kings (Jet)	D	31	1993-04-27	USA	No	200 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Billy Sweezey	Wheat Kings (Jet)	D	28	1996-02-06	USA	No	205 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Brett Sutter	Wheat Kings (Jet)	C/LW/RW	37	1987-06-02	CAN	No	200 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Connor McMichael	Wheat Kings (Jet)	C	23	2001-01-15	CAN	No	180 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	1,950,000$	0$	0$	No	1,950,000$	-	-	-	-	-	-	-	-	1,950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Dillon Heatherington	Wheat Kings (Jet)	D	29	1995-05-09	CAN	No	216 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Garrett Wilson	Wheat Kings (Jet)	LW/RW	33	1991-03-16	CAN	No	218 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Isak Rosen	Wheat Kings (Jet)	C/LW/RW	21	2003-03-15	SWE	No	174 Lbs	5 ft11	No	No	N/A		No	No	2		False	False	Pro & Farm	1,200,000$	0$	0$	No	1,200,000$	-	-	-	-	-	-	-	-	1,200,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jake Lucchini	Wheat Kings (Jet)	LW	29	1995-05-09	CAN	No	180 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jet Greaves	Wheat Kings (Jet)	G	23	2001-03-30	CAN	No	183 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	1,500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Joe Snively	Wheat Kings (Jet)	LW	29	1996-01-01	USA	No	176 Lbs	5 ft8	No	No	N/A		No	No	1		False	False	Pro & Farm	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Joseph Duszak	Wheat Kings (Jet)	D	27	1997-07-22	USA	No	176 Lbs	5 ft9	No	No	N/A		No	No	2		False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Kevin Korchinski	Wheat Kings (Jet)	D	20	2004-06-21	CAN	No	184 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	1,200,000$	0$	0$	No	1,200,000$	-	-	-	-	-	-	-	-	1,200,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Kyle Rau	Wheat Kings (Jet)	C/LW	32	1992-10-24	USA	No	172 Lbs	5 ft9	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Luka Profaca	Wheat Kings (Jet)	D	22	2002-03-30	CAN	No	194 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	1,500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Nate Sucese	Wheat Kings (Jet)	LW	28	1996-07-12	USA	No	174 Lbs	5 ft9	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Nick Caamano	Wheat Kings (Jet)	RW	26	1998-09-07	CAN	No	205 Lbs	6 ft3	No	No	Trade	2024-10-12	No	No	2	2024-07-26	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan McAllister	Wheat Kings (Jet)	C	23	2001-12-19	CAN	No	183 Lbs	5 ft10	No	No	Free Agent		No	No	2	2024-07-27	False	False	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Taylor Fedun	Wheat Kings (Jet)	D	36	1988-06-04	CAN	No	200 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tyler Angle	Wheat Kings (Jet)	C	24	2000-09-30	CAN	No	165 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Vincent Sevigny	Wheat Kings (Jet)	D	23	2001-04-14	CAN	No	194 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Zach Sawchenko	Wheat Kings (Jet)	G	27	1997-12-30	CAN	No	185 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Zack Ostapchuk	Wheat Kings (Jet)	C	21	2003-05-29	CAN	No	204 Lbs	6 ft3	No	No	N/A		No	No	2		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	26.96	189 Lbs	6 ft0	1.35	993,478$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Joe Snively	Connor McMichael	Isak Rosen	40	1	2	2
2	Jake Lucchini	Adam Brooks	Garrett Wilson	30	1	2	2
3	Nate Sucese	Tyler Angle	Brett Sutter	20	1	2	2
4	Kyle Rau	Ryan McAllister	Nick Caamano	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kevin Korchinski	Dillon Heatherington	40	1	2	2
2	Billy Sweezey	Andy Welinski	30	1	2	2
3	Taylor Fedun	Joseph Duszak	20	1	2	2
4	Kevin Korchinski	Dillon Heatherington	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Joe Snively	Connor McMichael	Isak Rosen	60	1	2	2
2	Jake Lucchini	Isak Rosen	Garrett Wilson	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kevin Korchinski	Dillon Heatherington	60	1	2	2
2	Billy Sweezey	Andy Welinski	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Connor McMichael	Joe Snively	60	1	2	2
2	Isak Rosen	Jake Lucchini	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kevin Korchinski	Dillon Heatherington	60	1	2	2
2	Billy Sweezey	Andy Welinski	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Connor McMichael	60	1	2	2	Kevin Korchinski	Dillon Heatherington	60	1	2	2
2	Isak Rosen	40	1	2	2	Billy Sweezey	Andy Welinski	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Connor McMichael	Joe Snively	60	1	2	2
2	Isak Rosen	Jake Lucchini	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kevin Korchinski	Dillon Heatherington	60	1	2	2
2	Billy Sweezey	Andy Welinski	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Joe Snively	Connor McMichael	Isak Rosen	Kevin Korchinski	Dillon Heatherington

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Joe Snively	Connor McMichael	Isak Rosen	Kevin Korchinski	Dillon Heatherington

Extra Forwards
Normal	PowerPlay	Penalty Kill
Garrett Wilson, Nate Sucese, Brett Sutter	Garrett Wilson, Nate Sucese	Garrett Wilson

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Andy Welinski, Taylor Fedun, Joseph Duszak	Andy Welinski	Andy Welinski, Taylor Fedun

Penalty Shots
Connor McMichael, Joe Snively, Jake Lucchini, Isak Rosen, Garrett Wilson

Goalie
#1 : Jet Greaves, #2 : Zach Sawchenko

Custom OT Lines Forwards
Connor McMichael, Joe Snively, Jake Lucchini, Isak Rosen, Garrett Wilson, Nate Sucese, Nate Sucese, Brett Sutter, Nick Caamano, Kyle Rau, Adam Brooks

Custom OT Lines Defensemen
Kevin Korchinski, Dillon Heatherington, Billy Sweezey, Andy Welinski, Taylor Fedun

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	Aces	1	1	0	0	0	0	0	0	9	4	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	9	4	5	2	1.000	9	16	25	0	0	65	45	43	3	43	456	456	408	7	32	7	10	23	2	2	100.00%	5	1	80.00%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
2	Admirals	5	1	4	0	0	0	0	0	18	23	-5	3	0	3	0	0	0	0	0	9	13	-4	2	1	1	0	0	0	0	0	9	10	-1	2	0.200	18	33	51	0	0	65	45	43	3	140	456	456	408	7	161	42	53	135	13	2	15.38%	23	7	69.57%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
3	Americans	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	65	45	43	3	22	456	456	408	7	21	8	6	24	5	1	20.00%	3	0	100.00%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
4	Barracuda	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	15	23	0	0	65	45	43	3	65	456	456	408	7	66	23	22	47	3	1	33.33%	9	2	77.78%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
5	Bears	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	65	45	43	3	41	456	456	408	7	25	10	6	16	6	2	33.33%	3	2	33.33%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
6	Bruins	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	65	45	43	3	31	456	456	408	7	28	9	8	32	6	1	16.67%	3	3	0.00%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
7	Devils	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	65	45	43	3	30	456	456	408	7	27	9	10	28	3	0	0.00%	4	1	75.00%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
8	Falcons	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	4	3	1	2	1.000	4	8	12	0	0	65	45	43	3	27	456	456	408	7	21	9	2	24	5	0	0.00%	1	0	100.00%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
9	Firebirds	2	0	0	0	1	1	0	0	6	6	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	1	1	0	0	6	6	0	3	0.750	6	10	16	0	0	65	45	43	3	57	456	456	408	7	47	19	10	54	4	1	25.00%	4	1	75.00%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
10	Griffins	5	2	3	0	0	0	0	0	17	19	-2	3	1	2	0	0	0	0	0	9	15	-6	2	1	1	0	0	0	0	0	8	4	4	4	0.400	17	30	47	0	0	65	45	43	3	168	456	456	408	7	178	47	50	133	28	7	25.00%	24	5	79.17%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
11	Gulls	2	0	2	0	0	0	0	0	3	9	-6	2	0	2	0	0	0	0	0	3	9	-6	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	1	0	65	45	43	3	60	456	456	408	7	79	18	23	48	10	1	10.00%	9	3	66.67%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
12	Ice Hogs	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	4	3	2	1.000	7	12	19	0	0	65	45	43	3	48	456	456	408	7	33	11	2	31	3	1	33.33%	1	0	100.00%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
13	Marlies	3	2	1	0	0	0	0	0	14	13	1	2	1	1	0	0	0	0	0	9	10	-1	1	1	0	0	0	0	0	0	5	3	2	4	0.667	14	27	41	0	0	65	45	43	3	91	456	456	408	7	109	24	30	67	11	2	18.18%	13	5	61.54%	1	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
14	Moose	3	2	1	0	0	0	0	0	10	9	1	1	1	0	0	0	0	0	0	6	4	2	2	1	1	0	0	0	0	0	4	5	-1	4	0.667	10	17	27	0	0	65	45	43	3	89	456	456	408	7	91	24	29	82	14	2	14.29%	12	2	83.33%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
15	Oil Kings	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	3	5	0	0	65	45	43	3	31	456	456	408	7	43	6	8	24	4	0	0.00%	4	0	100.00%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
16	Phantoms	2	1	1	0	0	0	0	0	9	6	3	2	1	1	0	0	0	0	0	9	6	3	0	0	0	0	0	0	0	0	0	0	0	2	0.500	9	18	27	0	0	65	45	43	3	56	456	456	408	7	65	21	14	49	7	3	42.86%	7	1	85.71%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
17	Rampage	3	1	1	0	1	0	0	0	10	9	1	2	1	1	0	0	0	0	0	5	5	0	1	0	0	0	1	0	0	0	5	4	1	4	0.667	10	17	27	0	0	65	45	43	3	89	456	456	408	7	101	25	42	79	13	1	7.69%	19	3	84.21%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
18	Reign	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	65	45	43	3	25	456	456	408	7	27	8	4	22	8	1	12.50%	1	0	100.00%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
19	Swamp Rabbits	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	5	8	0	0	65	45	43	3	27	456	456	408	7	41	13	15	27	3	0	0.00%	5	1	80.00%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
20	Thunderbirds	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	4	7	0	0	65	45	43	3	29	456	456	408	7	30	8	12	37	1	0	0.00%	6	1	83.33%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
21	Wild	3	1	1	0	0	1	0	0	8	10	-2	2	1	0	0	0	1	0	0	8	8	0	1	0	1	0	0	0	0	0	0	2	-2	3	0.500	8	12	20	0	0	65	45	43	3	95	456	456	408	7	78	28	20	71	8	0	0.00%	9	2	77.78%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
22	Wolves	2	1	1	0	0	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	5	3	2	2	0.500	7	10	17	0	0	65	45	43	3	63	456	456	408	7	73	26	30	63	5	2	40.00%	14	2	85.71%	1	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
	Total	43	20	18	0	3	2	0	0	156	149	7	22	9	12	0	0	1	0	0	75	85	-10	21	11	6	0	3	1	0	0	81	64	17	48	0.558	156	278	434	1	0	65	45	43	3	1327	456	456	408	7	1376	395	406	1116	162	30	18.52%	179	42	76.54%	2	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
	_Since Last GM Reset	43	20	18	0	3	2	0	0	156	149	7	22	9	12	0	0	1	0	0	75	85	-10	21	11	6	0	3	1	0	0	81	64	17	48	0.558	156	278	434	1	0	65	45	43	3	1327	456	456	408	7	1376	395	406	1116	162	30	18.52%	179	42	76.54%	2	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
	_Vs Conference	31	15	14	0	1	1	0	0	115	114	1	17	6	10	0	0	1	0	0	55	71	-16	14	9	4	0	1	0	0	0	60	43	17	33	0.532	115	202	317	1	0	65	45	43	3	976	456	456	408	7	1028	283	315	801	118	22	18.64%	139	32	76.98%	2	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284
	_Vs Division	14	9	10	0	0	1	0	0	50	51	-1	8	3	6	0	0	1	0	0	25	28	-3	6	6	4	0	0	0	0	0	25	23	2	19	0.679	50	86	136	0	0	65	45	43	3	428	456	456	408	7	424	123	131	377	43	4	9.30%	59	13	77.97%	0	724	1398	51.79%	776	1516	51.19%	384	741	51.82%	999	675	1014	333	573	284

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
43	48	W2	156	278	434	1327	1376	395	406	1116	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
43	20	18	3	2	0	0	156	149

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	9	12	0	1	0	0	75	85

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
21	11	6	3	1	0	0	81	64

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	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
162	30	18.52%	179	42	76.54%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
456	456	408	7	65	45	43	3

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
724	1398	51.79%	776	1516	51.19%	384	741	51.82%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
999	675	1014	333	573	284

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	11	Admirals	5	Wheat Kings	4	L		BoxScore
4	29	Wheat Kings	4	Admirals	6	L		BoxScore
6	39	Wheat Kings	9	Aces	4	W		BoxScore
8	54	Admirals	3	Wheat Kings	2	L		BoxScore
10	72	Griffins	4	Wheat Kings	2	L		BoxScore
12	81	Wheat Kings	3	Moose	1	W		BoxScore
14	97	Wheat Kings	5	Wolves	3	W		BoxScore
17	117	Moose	4	Wheat Kings	6	W		BoxScore
19	130	Wheat Kings	7	Ice Hogs	4	W		BoxScore
21	146	Wheat Kings	0	Wild	2	L		BoxScore
22	157	Admirals	5	Wheat Kings	3	L		BoxScore
25	178	Wheat Kings	3	Firebirds	4	L	X	BoxScore
27	188	Wild	2	Wheat Kings	3	W		BoxScore
29	202	Wheat Kings	1	Moose	4	L		BoxScore
31	217	Rampage	2	Wheat Kings	4	W		BoxScore
34	241	Gulls	4	Wheat Kings	2	L		BoxScore
36	252	Wheat Kings	4	Falcons	3	W	X	BoxScore
39	276	Wheat Kings	4	Reign	2	W		BoxScore
40	286	Rampage	3	Wheat Kings	1	L		BoxScore
43	303	Wheat Kings	3	Firebirds	2	W	X	BoxScore
45	316	Marlies	5	Wheat Kings	2	L		BoxScore
48	338	Thunderbirds	2	Wheat Kings	3	W		BoxScore
51	360	Wheat Kings	3	Devils	4	L		BoxScore
53	374	Americans	1	Wheat Kings	5	W		BoxScore
55	386	Wheat Kings	5	Rampage	4	W	X	BoxScore
57	400	Phantoms	5	Wheat Kings	4	L		BoxScore
60	419	Wheat Kings	1	Griffins	2	L		BoxScore
61	434	Wild	6	Wheat Kings	5	L	X	BoxScore
64	454	Wheat Kings	3	Bears	2	W		BoxScore
66	464	Wheat Kings	5	Admirals	4	W		BoxScore
67	476	Phantoms	1	Wheat Kings	5	W		BoxScore
70	498	Griffins	7	Wheat Kings	1	L		BoxScore
73	521	Gulls	5	Wheat Kings	1	L		BoxScore
76	543	Wheat Kings	5	Marlies	3	W		BoxScore
78	557	Barracuda	2	Wheat Kings	4	W		BoxScore
81	578	Wheat Kings	7	Griffins	2	W		BoxScore
83	590	Bruins	5	Wheat Kings	3	L		BoxScore
86	615	Marlies	5	Wheat Kings	7	W		BoxScore
88	627	Wheat Kings	4	Barracuda	2	W		BoxScore
90	639	Wheat Kings	3	Swamp Rabbits	5	L		BoxScore
92	655	Wolves	5	Wheat Kings	2	L		BoxScore
95	672	Wheat Kings	2	Oil Kings	1	W		BoxScore
97	687	Griffins	4	Wheat Kings	6	W		BoxScore
100	710	Wheat Kings	-	Moose	-
101	718	Wolves	-	Wheat Kings	-
105	744	Wheat Kings	-	Monsters	-
106	751	Heat	-	Wheat Kings	-
109	774	Wheat Kings	-	Sound Tigers	-
110	785	Reign	-	Wheat Kings	-
113	809	Ice Hogs	-	Wheat Kings	-
115	819	Wheat Kings	-	Wolfpack	-
117	836	Wheat Kings	-	Wolves	-
118	844	Aces	-	Wheat Kings	-
120	857	Wheat Kings	-	Penguins	-
122	876	Aces	-	Wheat Kings	-
125	898	Wheat Kings	-	Wolves	-
127	910	Crunch	-	Wheat Kings	-
130	937	Penguins	-	Wheat Kings	-
132	947	Wheat Kings	-	Aces	-
134	965	Wheat Kings	-	Ice Hogs	-
135	974	Ice Hogs	-	Wheat Kings	-
139	997	Wheat Kings	-	Admirals	-
140	1009	Wild	-	Wheat Kings	-
144	1032	Senators	-	Wheat Kings	-
145	1043	Wheat Kings	-	Rocket	-
148	1064	Moose	-	Wheat Kings	-
150	1076	Wheat Kings	-	Ice Hogs	-
152	1092	Moose	-	Wheat Kings	-
Trade Deadline --- Trades can’t be done after this day is simulated!
155	1113	Wheat Kings	-	Wild	-
157	1127	Admirals	-	Wheat Kings	-
159	1143	Wheat Kings	-	Aces	-
162	1158	Wheat Kings	-	Rocket	-
163	1166	Stars	-	Wheat Kings	-
167	1187	Monsters	-	Wheat Kings	-
168	1197	Wheat Kings	-	Heat	-
170	1207	Wheat Kings	-	Gulls	-
172	1223	Wheat Kings	-	Gulls	-
175	1246	Admirals	-	Wheat Kings	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	175	88
Attendance	39,961	19,141
Attendance PCT	90.82%	87.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
17	2686 - 89.55%	560,646$	12,334,206$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
1,400,871$	2,285,000$	2,285,000$	250,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
12,910$	1,262,495$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
9,530,977$	79	14,322$	1,131,438$

Wheat Kings 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

Wheat Kings 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

Wheat Kings 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

Wheat Kings 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

Wheat Kings 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

	Wheat Kings
	GP: 43 \| W: 23 \| L: 18 \| OTL: 2 \| P: 48 GF: 156 \| GA: 149 \| PP%: 18.52% \| PK%: 76.54% GM : Jared Snyder \| Morale : 50 \| Team Overall : 60 Next Games #710 vs Moose