Wild
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Comets 40-38-4, 84pts	7	FINAL	9	Wild 49-31-2, 100pts

Team Stats
L1	Streak	W5
23-16-2	Home Record	25-15-1
17-22-2	Away Record	24-16-1
6-4-0	Last 10 Games	8-2-0
4.38	Goals Per Game	5.28
4.10	Goals Against Per Game	4.23
20.60%	Power Play Percentage	19.54%
74.21%	Penalty Kill Percentage	78.41%

Comets
40-38-4, 84pts

FINAL

Wild
49-31-2, 100pts

Team Stats
L1	Streak	W5
23-16-2	Home Record	25-15-1
17-22-2	Away Record	24-16-1
6-4-0	Last 10 Games	8-2-0
4.38	Goals Per Game	5.28
4.10	Goals Against Per Game	4.23
20.60%	Power Play Percentage	19.54%
74.21%	Penalty Kill Percentage	78.41%

Team Leaders
	Goals Riley Barber 111	Assists Seth Griffith 107

	Points Riley Barber 200	Plus/Minus Riley Barber 114

	Wins Michael Houser 23	Save Percentage Jonathan Bernier 0.929

Team Stats
Goals For 433 5.28 GFG	Shots For 2876 35.07 Avg	Power Play Percentage 19.5% 60 GF	Offensive Zone Start 40.4%
Goals Against 347 4.23 GAA	Shots Against 2076 25.32 Avg	Penalty Kill Percentage 78.4%% 57 GA	Defensive Zone Start 31.7%

Team Info
	General Manager	David
	Coach	Todd McLellan
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,925
	Season Tickets	0
Roster Info
	Pro Team	23
	Farm Team	21
	Contract Limit	44 / 50
	Prospects	41

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	Fabian Zetterlund (R)			X		100.00	76	44	99	77	76	65	79	76	56	78	72	63	25	45	45	73	50	68	0	23	3	750,000$
2	Rocco Grimaldi	X		X		100.00	69	61	89	80	61	71	71	72	50	65	72	68	68	62	62	71	50	67	0	30	2	2,250,000$
3	Riley Barber			X		100.00	77	73	85	66	73	68	68	69	50	62	72	67	68	45	45	70	50	64	0	29	3	800,000$
4	Seth Griffith		X	X		100.00	70	67	76	61	67	76	78	70	50	68	68	65	65	49	49	68	50	64	0	30	1	800,000$
5	Yegor Chinakhov (R)		X	X		100.00	71	42	91	83	65	63	60	66	25	60	60	65	75	51	51	65	50	62	0	22	2	1,325,000$
6	Connor Dewar (R)	X	X			100.00	79	63	80	65	66	56	69	62	56	60	57	74	25	47	47	64	50	61	0	23	3	800,000$
7	Brett Ritchie			X		100.00	84	59	80	77	83	55	63	60	31	52	58	58	25	67	67	61	50	61	0	29	1	800,000$
8	Tyler Graovac	X				100.00	75	44	86	72	81	54	50	57	68	58	74	61	25	54	54	66	50	61	0	30	1	800,000$
9	Connor Bunnaman	X				100.00	76	44	91	68	75	56	76	59	82	50	55	67	25	49	49	61	50	60	0	25	1	750,000$
10	Hudson Fasching			X		100.00	80	44	99	65	74	55	62	55	25	50	55	67	75	55	55	61	50	59	0	27	1	800,000$
11	Jayce Hawryluk	X		X		100.00	79	44	90	67	70	54	58	58	44	60	58	62	25	59	59	60	50	59	0	27	2	800,000$
12	Adam Brooks	X	X			100.00	63	41	97	69	66	53	58	59	45	54	58	64	75	48	49	61	50	58	0	27	2	750,000$
13	Philip Broberg (R)				X	100.00	63	42	89	83	74	62	57	63	25	48	48	72	25	46	46	60	50	63	0	21	3	1,713,333$
14	Zac Jones (R)				X	100.00	61	40	99	70	62	66	63	61	25	52	47	73	75	46	46	59	50	61	0	22	3	925,000$
15	Kyle Wood				X	100.00	87	90	81	66	90	70	76	47	25	37	41	66	39	44	44	54	50	61	0	27	2	750,000$
16	Conor Timmins (R)				X	100.00	67	42	91	65	70	62	65	60	25	57	47	68	25	47	48	57	50	61	0	24	2	850,000$
17	Vincent Desharnais (R)				X	100.00	81	83	77	63	83	65	69	51	25	47	41	64	39	44	44	55	50	60	0	27	3	800,000$
Scratches
1	Julien Nantel (R)	X	X			100.00	77	70	92	64	70	61	63	55	69	47	59	64	56	45	45	60	50	58	0	26	2	750,000$
2	Shane Gersich	X	X			100.00	69	66	76	63	66	67	69	59	74	55	58	60	55	44	44	60	50	58	0	26	2	750,000$
3	Thomas Di Pauli	X	X			100.00	72	67	82	65	67	57	57	57	71	51	58	61	55	44	44	59	50	57	0	29	2	750,000$
4	Jonathan Gruden (R)		X			100.00	66	64	71	63	64	57	58	53	50	51	51	57	48	44	44	55	50	54	0	23	3	802,500$

	TEAM AVERAGE					100.00	73	57	87	69	72	62	65	60	46	55	58	65	47	49	49	62	50	61

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	Jonathan Bernier	100.00	65	53	55	68	75	55	79	64	69	65	64	69	69	66	50	65	0	34	1	4,500,000$
2	Michael Houser	100.00	49	43	80	70	50	48	50	54	50	50	30	44	44	49	50	52	0	30	1	600,000$
Scratches

	TEAM AVERAGE	100.00	57	48	68	69	63	52	65	59	60	58	47	57	57	58	50	59

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Todd McLellan	80	86	77	87	80	74	69	CAN	54	2	500,000$

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	HT	P/20	PSS	FW	FL	FT	S1	S2	S3
1	Riley Barber	Wild (MIN)	RW	82	111	89	200	114	108	30	184	106	506	137	347	21.94%	63	1613	19.68	21	14	35	64	219	0	0	0	5	153	11	5	62.54%	283	14	2.48	1	2	0	3	22	12	4
2	Seth Griffith	Wild (MIN)	LW/RW	82	80	107	187	102	45	5	159	83	408	114	297	19.61%	32	1604	19.57	12	23	35	58	225	0	1	1	4	146	8	2	58.82%	119	8	2.33	1	0	0	1	9	17	7
3	Jayce Hawryluk	Wild (MIN)	C/RW	82	37	62	99	58	38	0	97	97	245	65	168	15.10%	26	1060	12.93	1	3	4	3	20	0	0	0	0	30	3	4	60.83%	702	0	1.87	0	0	0	0	3	6	3
4	Hudson Fasching	Wild (MIN)	RW	82	35	50	85	57	38	0	53	62	213	68	163	16.43%	22	927	11.32	3	1	4	9	23	0	0	0	1	50	2	0	52.48%	101	3	1.83	0	0	0	0	2	4	4
5	Shane Gersich	Wild (MIN)	C/LW	81	29	43	72	49	32	10	66	60	175	52	142	16.57%	33	898	11.09	0	0	0	0	1	0	1	1	2	79	4	1	68.60%	121	2	1.60	0	2	0	0	1	2	2
6	Conor Timmins	Wild (MIN)	D	82	10	55	65	28	73	5	169	63	67	17	41	14.93%	83	1442	17.59	1	4	5	11	132	0	0	0	0	93	3	0	100.00%	1	0	0.90	0	0	0	1	0	0	4
7	Rocco Grimaldi	Wild (MIN)	C/RW	31	15	41	56	30	10	0	18	84	74	17	63	20.27%	5	692	22.35	2	13	15	13	124	1	0	1	3	100	3	0	61.54%	793	1	1.62	1	0	0	0	2	4	7
8	Brett Ritchie	Wild (MIN)	RW	43	20	19	39	13	54	10	101	42	136	27	102	14.71%	17	724	16.85	3	3	6	22	127	0	0	0	0	17	1	1	46.15%	26	1	1.08	0	1	0	1	1	1	5
9	Yegor Chinakhov	Wild (MIN)	LW/RW	31	14	24	38	20	4	0	15	45	90	29	85	15.56%	7	591	19.08	3	6	9	18	114	0	0	0	4	77	0	1	44.00%	25	0	1.29	0	0	0	0	3	3	2
10	Connor Dewar	Wild (MIN)	C/LW	31	14	21	35	20	6	0	32	54	80	17	59	17.50%	4	524	16.92	4	4	8	20	108	0	0	0	0	16	1	1	67.49%	443	0	1.33	0	0	0	0	0	1	1
11	Tyler Graovac	Wild (MIN)	C	31	16	17	33	21	12	0	24	36	95	31	82	16.84%	2	487	15.73	1	0	1	4	26	0	0	0	0	25	4	0	70.30%	367	0	1.35	0	0	0	0	5	2	1
12	Zac Jones	Wild (MIN)	D	31	2	26	28	20	0	0	9	20	43	13	14	4.65%	23	661	21.35	0	4	4	27	108	0	1	1	2	90	0	0	0.00%	1	0	0.85	0	0	0	0	0	1	3
13	Philip Broberg	Wild (MIN)	D	31	8	19	27	21	12	0	34	21	43	19	29	18.60%	26	680	21.96	3	6	9	25	118	0	0	0	1	85	3	0	0.00%	0	0	0.79	0	0	0	0	2	0	1
14	Vincent Desharnais	Wild (MIN)	D	50	2	18	20	49	46	10	114	20	30	11	15	6.67%	24	908	18.17	1	4	5	14	104	0	0	0	0	90	0	0	0.00%	2	0	0.44	0	0	1	1	0	0	1
15	Connor Bunnaman	Wild (MIN)	C	31	5	13	18	28	16	0	25	29	30	7	11	16.67%	9	500	16.14	0	0	0	1	3	0	0	0	0	4	0	0	62.32%	69	0	0.72	0	0	0	0	0	1	0
16	Evan Bouchard	Wild	D	9	4	7	11	7	0	0	8	5	9	3	4	44.44%	10	88	9.84	0	0	0	0	0	0	0	0	0	0	1	0	0.00%	0	0	2.48	0	0	0	0	0	0	1
17	Adam Brooks	Wild (MIN)	C/LW	15	2	6	8	12	0	0	1	13	24	11	19	8.33%	2	163	10.89	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	6	0	0.98	0	0	0	0	0	0	1
18	Kyle Wood	Wild (MIN)	D	31	1	5	6	22	52	0	77	6	16	5	11	6.25%	13	652	21.06	0	1	1	5	111	0	0	0	0	77	0	0	0.00%	0	0	0.18	0	0	0	0	0	0	0
19	Fabian Zetterlund	Wild (MIN)	RW	1	0	1	1	0	4	0	1	0	3	1	3	0.00%	0	20	20.70	0	0	0	1	7	0	0	0	0	0	0	0	0.00%	2	0	0.97	0	0	0	0	0	0	0
Team Total or Average				857	405	623	1028	671	550	70	1187	846	2287	644	1655	17.71%	401	14245	16.62	55	86	141	295	1578	1	3	4	22	1138	44	15	62.92%	3061	29	1.44	3	5	1	7	50	54	47

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	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S2
1	Michael Houser	Wild (MIN)	30	23	5	1	0.848	2.28	1766	3	67	440	1	1	0.667	3	30	1	1
2	Jonathan Bernier	Wild (MIN)	1	1	0	0	0.929	1.00	60	0	1	14	0	0	0.00%	0	1	0	0
Team Total or Average			31	24	5	1	0.850	2.23	1826	3	68	454	1	1		3	31	1	1

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	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Adam Brooks	Wild (MIN)	C/LW	27	1996-05-06	No	185 Lbs	5 ft10	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$		Link / NHL Link
Brett Ritchie	Wild (MIN)	RW	29	1993-06-30	No	220 Lbs	6 ft4	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Link / NHL Link
Connor Bunnaman	Wild (MIN)	C	25	1998-04-16	No	207 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link / NHL Link
Connor Dewar	Wild (MIN)	C/LW	23	1999-06-26	Yes	182 Lbs	5 ft10	No	No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	Link / NHL Link
Conor Timmins	Wild (MIN)	D	24	1998-09-18	Yes	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	850,000$	0$	0$	No	850,000$		Link / NHL Link
Fabian Zetterlund	Wild (MIN)	RW	23	1999-08-25	Yes	218 Lbs	5 ft11	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	Link / NHL Link
Hudson Fasching	Wild (MIN)	RW	27	1995-07-28	No	204 Lbs	6 ft1	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Link / NHL Link
Jayce Hawryluk	Wild (MIN)	C/RW	27	1996-01-01	No	196 Lbs	5 ft11	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$		Link / NHL Link
Jonathan Bernier	Wild (MIN)	G	34	1988-08-07	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	4,500,000$	0$	0$	No			Link / NHL Link
Jonathan Gruden	Wild (MIN)	LW	23	2000-05-04	Yes	172 Lbs	6 ft0	No	No	No	3	Pro & Farm	802,500$	0$	0$	No	802,500$	802,500$	Link
Julien Nantel	Wild (MIN)	C/LW	26	1996-09-06	Yes	193 Lbs	6 ft0	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$		Link / NHL Link
Kyle Wood	Wild (MIN)	D	27	1996-05-04	No	235 Lbs	6 ft7	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$		Link / NHL Link
Michael Houser	Wild (MIN)	G	30	1992-09-12	No	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	600,000$	0$	0$	No			Link
Philip Broberg	Wild (MIN)	D	21	2001-06-25	Yes	199 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,713,333$	0$	0$	No	1,713,333$	1,713,333$	Link
Riley Barber	Wild (MIN)	RW	29	1994-02-07	No	203 Lbs	6 ft0	No	No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	Link / NHL Link
Rocco Grimaldi	Wild (MIN)	C/RW	30	1993-02-08	No	180 Lbs	5 ft6	No	No	No	2	Pro & Farm	2,250,000$	0$	0$	No	2,250,000$		Link / NHL Link
Seth Griffith	Wild (MIN)	LW/RW	30	1993-01-04	No	190 Lbs	5 ft9	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Link / NHL Link
Shane Gersich	Wild (MIN)	C/LW	26	1996-07-10	No	180 Lbs	5 ft11	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$		Link / NHL Link
Thomas Di Pauli	Wild (MIN)	C/LW	29	1994-04-29	No	187 Lbs	5 ft11	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$		Link / NHL Link
Tyler Graovac	Wild (MIN)	C	30	1993-04-26	No	212 Lbs	6 ft5	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Link / NHL Link
Vincent Desharnais	Wild (MIN)	D	27	1996-05-29	Yes	216 Lbs	6 ft6	No	No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	Link
Yegor Chinakhov	Wild (MIN)	LW/RW	22	2001-02-01	Yes	179 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,325,000$	0$	0$	No	1,325,000$		Link
Zac Jones	Wild (MIN)	D	22	2000-10-18	Yes	172 Lbs	5 ft10	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	26.57	195 Lbs	6 ft0	2.00	1,070,254$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Seth Griffith	Tyler Graovac	Fabian Zetterlund	40	1	2	2
2	Yegor Chinakhov	Rocco Grimaldi	Riley Barber	30	1	2	2
3	Adam Brooks	Connor Dewar	Hudson Fasching	20	1	2	2
4	Jayce Hawryluk	Connor Bunnaman	Brett Ritchie	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Philip Broberg	Zac Jones	30	1	2	2
2	Conor Timmins	Vincent Desharnais	30	1	2	2
3	Connor Bunnaman	Kyle Wood	30	1	2	2
4	Conor Timmins	Zac Jones	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Seth Griffith	Tyler Graovac	Fabian Zetterlund	50	1	0	4
2	Yegor Chinakhov	Rocco Grimaldi	Riley Barber	50	1	0	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Philip Broberg	Zac Jones	50	0	2	3
2	Conor Timmins	Vincent Desharnais	50	0	2	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Connor Dewar	Rocco Grimaldi	50	1	3	1
2	Connor Bunnaman	Riley Barber	50	1	3	1

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Philip Broberg	Zac Jones	50	1	4	0
2	Conor Timmins	Kyle Wood	50	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Connor Dewar	50	0	5	0	Philip Broberg	Zac Jones	50	1	4	0
2	Connor Bunnaman	50	0	5	0	Conor Timmins	Kyle Wood	50	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tyler Graovac	Fabian Zetterlund	50	1	2	2
2	Rocco Grimaldi	Riley Barber	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Philip Broberg	Zac Jones	50	1	2	2
2	Conor Timmins	Vincent Desharnais	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Rocco Grimaldi	Tyler Graovac	Fabian Zetterlund	Philip Broberg	Zac Jones

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Rocco Grimaldi	Connor Dewar	Riley Barber	Philip Broberg	Zac Jones

Extra Forwards
Normal	PowerPlay	Penalty Kill
Rocco Grimaldi, Hudson Fasching, Fabian Zetterlund	Riley Barber, Tyler Graovac	Hudson Fasching

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Conor Timmins, Philip Broberg, Zac Jones	Kyle Wood	Vincent Desharnais, Kyle Wood

Penalty Shots
Rocco Grimaldi, Seth Griffith, Riley Barber, Yegor Chinakhov, Fabian Zetterlund

Goalie
#1 : Jonathan Bernier, #2 : Michael Houser

Custom OT Lines Forwards
Tyler Graovac, Fabian Zetterlund, Rocco Grimaldi, Riley Barber, Seth Griffith, Yegor Chinakhov, Yegor Chinakhov, Connor Dewar, Jayce Hawryluk, Adam Brooks, Brett Ritchie

Custom OT Lines Defensemen
Philip Broberg, Zac Jones, Conor Timmins, Kyle Wood, Vincent Desharnais

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
1	Americans	4	3	1	0	0	0	0	0	26	19	7	2	2	0	0	0	0	0	0	16	6	10	2	1	1	0	0	0	0	0	10	13	-3	6	0.750	26	49	75	0	0	177	149	104	3	107	914	994	955	16	107	34	34	71	13	3	23.08%	16	4	75.00%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
2	Admirals	4	3	0	0	1	0	0	0	30	15	15	2	2	0	0	0	0	0	0	13	4	9	2	1	0	0	1	0	0	0	17	11	6	8	1.000	30	55	85	0	0	177	149	104	3	178	914	994	955	16	91	22	20	91	9	5	55.56%	9	1	88.89%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
3	Barracudas	2	2	0	0	0	0	0	0	16	4	12	1	1	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	8	0	8	4	1.000	16	21	37	0	1	177	149	104	3	107	914	994	955	16	43	11	11	36	5	1	20.00%	3	0	100.00%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
4	Bears	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	3	1	2	4	1.000	11	19	30	0	0	177	149	104	3	89	914	994	955	16	47	8	12	42	4	0	0.00%	6	1	83.33%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
5	Bruins	2	2	0	0	0	0	0	0	13	4	9	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	6	1	5	4	1.000	13	23	36	0	0	177	149	104	3	55	914	994	955	16	25	5	24	30	8	2	25.00%	8	2	75.00%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
6	Canucks	2	0	2	0	0	0	0	0	7	16	-9	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	5	10	-5	0	0.000	7	14	21	0	0	177	149	104	3	32	914	994	955	16	56	14	26	38	11	2	18.18%	12	3	75.00%	1	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
7	Checkers	2	1	1	0	0	0	0	0	8	14	-6	1	0	1	0	0	0	0	0	1	8	-7	1	1	0	0	0	0	0	0	7	6	1	2	0.500	8	10	18	0	0	177	149	104	3	55	914	994	955	16	71	24	31	31	6	3	50.00%	10	3	70.00%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
8	Comets	3	3	0	0	0	0	0	0	19	11	8	2	2	0	0	0	0	0	0	15	8	7	1	1	0	0	0	0	0	0	4	3	1	6	1.000	19	34	53	0	0	177	149	104	3	95	914	994	955	16	56	17	30	61	21	3	14.29%	13	5	61.54%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
9	Condors	2	0	1	0	0	0	0	1	5	9	-4	1	0	0	0	0	0	0	1	3	4	-1	1	0	1	0	0	0	0	0	2	5	-3	1	0.250	5	8	13	0	0	177	149	104	3	38	914	994	955	16	34	16	24	44	10	1	10.00%	7	0	100.00%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
10	Crunch	3	0	2	0	0	1	0	0	6	17	-11	1	0	1	0	0	0	0	0	1	7	-6	2	0	1	0	0	1	0	0	5	10	-5	1	0.167	6	9	15	0	0	177	149	104	3	42	914	994	955	16	106	29	22	40	10	1	10.00%	10	3	70.00%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
11	Eagles	2	1	1	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	4	3	1	2	0.500	5	9	14	0	0	177	149	104	3	39	914	994	955	16	52	14	18	39	6	1	16.67%	9	1	88.89%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
12	Firebirds	5	5	0	0	0	0	0	0	42	14	28	3	3	0	0	0	0	0	0	21	10	11	2	2	0	0	0	0	0	0	21	4	17	10	1.000	42	64	106	0	0	177	149	104	3	314	914	994	955	16	119	27	48	109	16	4	25.00%	14	2	85.71%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
13	Griffins	2	1	1	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	3	1	2	2	0.500	6	12	18	0	0	177	149	104	3	56	914	994	955	16	39	14	22	32	13	2	15.38%	6	1	83.33%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
14	Gulls	2	1	1	0	0	0	0	0	9	9	0	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	9	14	23	0	0	177	149	104	3	57	914	994	955	16	69	17	22	26	7	0	0.00%	6	2	66.67%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
15	Heat	2	0	2	0	0	0	0	0	7	12	-5	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	7	13	20	0	0	177	149	104	3	63	914	994	955	16	53	13	18	30	9	2	22.22%	7	1	85.71%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
16	IceHogs	4	3	1	0	0	0	0	0	29	23	6	2	1	1	0	0	0	0	0	15	14	1	2	2	0	0	0	0	0	0	14	9	5	6	0.750	29	45	74	0	0	177	149	104	3	164	914	994	955	16	125	46	30	96	8	4	50.00%	15	5	66.67%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
17	Marlies	3	0	3	0	0	0	0	0	7	15	-8	1	0	1	0	0	0	0	0	1	2	-1	2	0	2	0	0	0	0	0	6	13	-7	0	0.000	7	11	18	0	0	177	149	104	3	46	914	994	955	16	70	25	31	47	20	4	20.00%	13	3	76.92%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
18	Monsters	2	1	0	0	1	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	1	0	0	0	3	2	1	4	1.000	7	13	20	0	0	177	149	104	3	47	914	994	955	16	26	6	14	38	18	6	33.33%	7	2	71.43%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
19	Moose	4	0	3	0	1	0	0	0	8	23	-15	2	0	2	0	0	0	0	0	3	15	-12	2	0	1	0	1	0	0	0	5	8	-3	2	0.250	8	11	19	0	0	177	149	104	3	102	914	994	955	16	124	23	28	61	18	2	11.11%	12	4	66.67%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
20	Penguins	2	1	1	0	0	0	0	0	12	13	-1	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	6	9	-3	2	0.500	12	18	30	0	0	177	149	104	3	77	914	994	955	16	85	25	15	42	8	2	25.00%	6	2	66.67%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
21	Phantoms	2	0	2	0	0	0	0	0	7	13	-6	1	0	1	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	7	13	20	0	0	177	149	104	3	57	914	994	955	16	64	18	14	39	10	1	10.00%	5	1	80.00%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
22	Rampage	4	4	0	0	0	0	0	0	37	10	27	2	2	0	0	0	0	0	0	18	5	13	2	2	0	0	0	0	0	0	19	5	14	8	1.000	37	63	100	0	0	177	149	104	3	254	914	994	955	16	92	33	8	94	5	1	20.00%	3	0	100.00%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
23	Reign	2	1	1	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	2	9	-7	1	1	0	0	0	0	0	0	4	0	4	2	0.500	6	11	17	0	1	177	149	104	3	58	914	994	955	16	63	9	10	47	12	3	25.00%	5	0	100.00%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
24	Roadrunners	2	2	0	0	0	0	0	0	16	1	15	1	1	0	0	0	0	0	0	9	0	9	1	1	0	0	0	0	0	0	7	1	6	4	1.000	16	31	47	0	1	177	149	104	3	88	914	994	955	16	14	11	12	28	6	2	33.33%	6	0	100.00%	1	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
25	Rocket	2	0	2	0	0	0	0	0	7	12	-5	1	0	1	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	7	13	20	0	0	177	149	104	3	34	914	994	955	16	56	14	16	43	7	0	0.00%	8	0	100.00%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
26	Senators	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	7	14	21	1	0	177	149	104	3	35	914	994	955	16	46	20	18	30	7	1	14.29%	9	3	66.67%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
27	Sound Tigers	2	2	0	0	0	0	0	0	14	5	9	1	1	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	6	4	2	4	1.000	14	25	39	0	0	177	149	104	3	72	914	994	955	16	39	17	12	36	3	0	0.00%	6	2	66.67%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
28	Stars	4	4	0	0	0	0	0	0	42	14	28	2	2	0	0	0	0	0	0	21	11	10	2	2	0	0	0	0	0	0	21	3	18	8	1.000	42	68	110	0	0	177	149	104	3	286	914	994	955	16	101	28	18	98	5	0	0.00%	7	1	85.71%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
29	Thunderbirds	2	0	2	0	0	0	0	0	3	13	-10	1	0	1	0	0	0	0	0	1	9	-8	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	5	8	1	0	177	149	104	3	28	914	994	955	16	69	20	10	28	11	1	9.09%	5	1	80.00%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
30	Wolf Pack	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	5	2	3	4	1.000	8	12	20	0	0	177	149	104	3	89	914	994	955	16	24	9	10	30	9	0	0.00%	5	0	100.00%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
31	Wolves	4	1	3	0	0	0	0	0	13	21	-8	2	1	1	0	0	0	0	0	7	10	-3	2	0	2	0	0	0	0	0	6	11	-5	2	0.250	13	20	33	0	0	177	149	104	3	112	914	994	955	16	110	33	54	60	12	3	25.00%	16	4	75.00%	0	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
	Total	82	46	31	0	3	1	0	1	433	347	86	41	25	15	0	0	0	0	1	221	185	36	41	21	16	0	3	1	0	0	212	162	50	100	0.610	433	727	1160	2	3	177	149	104	3	2876	914	994	955	16	2076	602	662	1537	307	60	19.54%	264	57	78.41%	2	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
	_Since Last GM Reset	82	46	31	0	3	1	0	1	433	347	86	41	25	15	0	0	0	0	1	221	185	36	41	21	16	0	3	1	0	0	212	162	50	100	0.610	433	727	1160	2	3	177	149	104	3	2876	914	994	955	16	2076	602	662	1537	307	60	19.54%	264	57	78.41%	2	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
	_Vs Conference	47	30	14	0	2	0	0	1	291	191	100	24	16	7	0	0	0	0	1	146	107	39	23	14	7	0	2	0	0	0	145	84	61	65	0.691	291	482	773	0	3	177	149	104	3	1967	914	994	955	16	1197	337	355	930	141	32	22.70%	135	25	81.48%	1	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465
	_Vs Division	24	23	8	0	2	0	0	0	167	94	73	12	13	4	0	0	0	0	0	80	54	26	12	10	4	0	2	0	0	0	87	40	47	50	1.042	167	282	449	0	1	177	149	104	3	1111	914	994	955	16	599	177	134	507	57	15	26.32%	61	12	80.33%	1	1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%	2241	1719	1794	480	895	465

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	100	W5	433	727	1160	2876	2076	602	662	1537	2	3

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	46	31	3	1	0	1	433	347

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	25	15	0	0	0	1	221	185

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	21	16	3	1	0	0	212	162

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	2	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
307	60	19.54%	264	57	78.41%	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
914	994	955	16	177	149	104	3

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1130	2147	52.63%	799	1682	47.50%	733	1484	49.39%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2241	1719	1794	480	895	465

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	Link
1 - 2023-03-22	2	Firebirds	3	Wild	7	BW			BoxScore
3 - 2023-03-24	25	Wild	11	Rampage	2	AW			BoxScore
4 - 2023-03-25	38	Stars	4	Wild	9	BW			BoxScore
7 - 2023-03-28	58	Wild	3	Marlies	7	AL			BoxScore
8 - 2023-03-29	68	Wild	2	Moose	6	AL			BoxScore
10 - 2023-03-31	87	Moose	5	Wild	1	BL			BoxScore
13 - 2023-04-03	102	Americans	4	Wild	9	BW			BoxScore
14 - 2023-04-04	115	Wild	9	Stars	2	AW			BoxScore
16 - 2023-04-06	129	Wild	11	Admirals	6	AW			BoxScore
18 - 2023-04-08	148	Firebirds	3	Wild	4	BW			BoxScore
19 - 2023-04-09	163	Wild	8	IceHogs	7	AW			BoxScore
21 - 2023-04-11	179	Wolves	7	Wild	3	BL			BoxScore
23 - 2023-04-13	196	Wild	5	Americans	9	AL			BoxScore
25 - 2023-04-15	211	Rampage	3	Wild	9	BW			BoxScore
28 - 2023-04-18	234	IceHogs	6	Wild	9	BW			BoxScore
29 - 2023-04-19	239	Wild	1	Crunch	5	AL			BoxScore
31 - 2023-04-21	254	Wild	3	Wolves	5	AL			BoxScore
33 - 2023-04-23	274	Wild	3	Heat	6	AL			BoxScore
34 - 2023-04-24	284	Bears	4	Wild	8	BW			BoxScore
37 - 2023-04-27	304	Griffins	4	Wild	3	BL			BoxScore
40 - 2023-04-30	330	Barracudas	4	Wild	8	BW			BoxScore
42 - 2023-05-02	346	Wild	2	Senators	4	AL			BoxScore
44 - 2023-05-04	362	IceHogs	8	Wild	6	BL			BoxScore
47 - 2023-05-07	381	Wild	6	Sound Tigers	4	AW			BoxScore
49 - 2023-05-09	397	Crunch	7	Wild	1	BL			BoxScore
50 - 2023-05-10	412	Wild	2	Condors	5	AL			BoxScore
52 - 2023-05-12	429	Moose	10	Wild	2	BL			BoxScore
55 - 2023-05-15	450	Stars	7	Wild	12	BW			BoxScore
57 - 2023-05-17	467	Wild	4	Gulls	5	AL			BoxScore
59 - 2023-05-19	481	Reign	9	Wild	2	BL			BoxScore
61 - 2023-05-21	500	Wild	6	Penguins	9	AL			BoxScore
63 - 2023-05-23	513	Wild	3	Marlies	6	AL			BoxScore
64 - 2023-05-24	525	Eagles	5	Wild	1	BL			BoxScore
67 - 2023-05-27	548	Gulls	4	Wild	5	BW			BoxScore
69 - 2023-05-29	565	Wild	4	Crunch	5	AL	X		BoxScore
71 - 2023-05-31	582	Wild	6	Admirals	5	AW	X		BoxScore
72 - 2023-06-01	589	Phantoms	8	Wild	5	BL			BoxScore
75 - 2023-06-04	611	Wolves	3	Wild	4	BW			BoxScore
77 - 2023-06-06	632	Wild	5	Wolf Pack	2	AW			BoxScore
78 - 2023-06-07	644	Checkers	8	Wild	1	BL			BoxScore
81 - 2023-06-10	666	Wild	11	Firebirds	3	AW			BoxScore
82 - 2023-06-11	675	Wild	5	Canucks	10	AL			BoxScore
83 - 2023-06-12	685	Penguins	4	Wild	6	BW			BoxScore
87 - 2023-06-16	708	Rampage	2	Wild	9	BW			BoxScore
89 - 2023-06-18	728	Wild	12	Stars	1	AW			BoxScore
91 - 2023-06-20	740	Thunderbirds	9	Wild	1	BL			BoxScore
93 - 2023-06-22	756	Wild	8	Rampage	3	AW			BoxScore
95 - 2023-06-24	773	Rocket	9	Wild	5	BL			BoxScore
98 - 2023-06-27	791	Wild	7	Checkers	6	AW			BoxScore
100 - 2023-06-29	806	Firebirds	4	Wild	10	BW			BoxScore
102 - 2023-07-01	825	Wild	3	Wolves	6	AL			BoxScore
104 - 2023-07-03	840	Canucks	6	Wild	2	BL			BoxScore
106 - 2023-07-05	857	Wild	10	Firebirds	1	AW			BoxScore
108 - 2023-07-07	872	Wild	2	Thunderbirds	4	AL			BoxScore
109 - 2023-07-08	880	Wolf Pack	1	Wild	3	BW			BoxScore
111 - 2023-07-10	896	Wild	6	Bruins	1	AW			BoxScore
112 - 2023-07-11	906	Wild	8	Barracudas	0	AW			BoxScore
113 - 2023-07-12	916	Bruins	3	Wild	7	BW			BoxScore
116 - 2023-07-15	941	Senators	2	Wild	5	BW			BoxScore
119 - 2023-07-18	964	Wild	3	Griffins	1	AW			BoxScore
120 - 2023-07-19	974	Condors	4	Wild	3	BL	X	X	BoxScore
123 - 2023-07-22	993	Wild	7	Roadrunners	1	AW			BoxScore
125 - 2023-07-24	1004	Heat	6	Wild	4	BL			BoxScore
127 - 2023-07-26	1020	Wild	2	Phantoms	5	AL			BoxScore
129 - 2023-07-28	1039	Sound Tigers	1	Wild	8	BW			BoxScore
131 - 2023-07-30	1054	Wild	3	Moose	2	AW	X		BoxScore
133 - 2023-08-01	1070	Roadrunners	0	Wild	9	BW			BoxScore
135 - 2023-08-03	1090	Wild	4	Comets	3	AW			BoxScore
136 - 2023-08-04	1096	Wild	6	IceHogs	2	AW			BoxScore
138 - 2023-08-06	1111	Monsters	2	Wild	4	BW			BoxScore
141 - 2023-08-09	1137	Admirals	2	Wild	8	BW			BoxScore
143 - 2023-08-11	1153	Wild	4	Eagles	3	AW			BoxScore
144 - 2023-08-12	1165	Marlies	2	Wild	1	BL			BoxScore
147 - 2023-08-15	1187	Wild	3	Monsters	2	AW	X		BoxScore
148 - 2023-08-16	1191	Wild	5	Americans	4	AW			BoxScore
149 - 2023-08-17	1205	Americans	2	Wild	7	BW			BoxScore
152 - 2023-08-20	1227	Wild	2	Rocket	3	AL			BoxScore
154 - 2023-08-22	1239	Admirals	2	Wild	5	BW			BoxScore
155 - 2023-08-23	1252	Wild	3	Bears	1	AW			BoxScore
157 - 2023-08-25	1257	Wild	4	Reign	0	AW			BoxScore
159 - 2023-08-27	1279	Comets	7	Wild	9	BW			BoxScore
165 - 2023-09-02	1310	Comets	1	Wild	6	BW			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	0
Attendance	81,409	38,535
Attendance PCT	99.28%	93.99%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2925 - 97.52%	69,495$	2,849,315$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,565,920$	2,461,583$	2,461,583$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
14,829$	2,065,928$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	17,841$	0$

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

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

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

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	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

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	EG	PS %	PSA

	Wild
	GP: 82 \| W: 49 \| L: 31 \| OTL: 2 \| P: 100 GF: 433 \| GA: 347 \| PP%: 19.54% \| PK%: 78.41% GM : David \| Morale : 50 \| Team Overall : 61