NHLS - National Hockey League Simulated

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1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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10	text	Any text entered in the filter will match text found within the column

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Michael Carcone	X	X	X		100.00	74	39	86	73	66	80	85	69	59	68	67	63	66	71	70	35	75	67	0
2	Jonny Brodzinski	X				100.00	66	35	95	69	76	78	80	65	79	64	66	64	63	74	76	32	75	66	0
3	Walker Duehr			X		100.00	78	38	92	67	82	80	83	63	56	58	64	62	66	69	71	36	75	65	0
4	Alex Barre-Boulet (A)	X	X	X		100.00	64	37	83	65	67	88	86	66	73	68	64	61	65	69	71	36	75	64	0
5	Anthony Richard	X	X			100.00	60	38	83	68	67	85	83	66	63	65	62	61	64	70	72	49	75	64	0
6	Justin Bailey			X		100.00	80	42	81	62	89	84	86	61	55	58	63	65	59	71	73	55	75	64	0
7	Michael Eyssimont (A)	X	X			100.00	72	68	77	69	73	77	85	66	57	61	63	62	65	71	72	44	75	64	0
8	Berkly Catton (R)	X				100.00	54	36	85	72	66	81	85	69	58	61	60	62	71	61	63	89	75	63	0
9	Trey Fix-Wolansky			X		100.00	57	42	64	66	65	95	86	65	62	64	67	61	66	68	69	42	75	63	0
10	Sean Farrell	X				100.00	55	36	94	63	65	81	86	62	67	64	60	61	63	65	67	56	75	62	0
11	Hudson Fasching			X		100.00	73	39	94	58	86	78	81	57	53	55	56	59	54	71	73	46	75	61	0
12	Joey Larson (R)			X		100.00	65	41	87	60	74	87	84	59	57	55	62	58	61	65	67	42	75	61	0
13	Sam Rinzel (R)				X	100.00	74	40	78	68	85	88	90	67	30	69	58	64	51	62	63	81	75	65	0
14	Kevin Gravel				X	100.00	76	40	84	62	87	83	85	58	30	67	52	66	46	74	76	29	75	63	0
15	Steven Santini (C)				X	100.00	75	39	91	60	87	75	79	57	30	61	52	58	46	71	76	58	75	62	0
16	Alex Alexeyev				X	100.00	79	40	87	63	92	83	68	62	30	60	52	64	48	67	69	66	75	62	0
17	Matt Kiersted				X	100.00	61	39	79	63	71	85	83	62	30	67	52	69	47	68	70	36	75	62	0
18	Montana Onyebuchi				X	100.00	75	63	60	56	84	68	80	54	30	55	53	57	45	66	68	42	75	59	0
Scratches
1	Mitchell Chaffee			X		100.00	76	41	80	71	77	89	85	68	70	66	67	64	69	68	70	36	75	66	0
2	Michal Kunc (R)		X			100.00	63	37	93	59	72	73	76	57	54	56	58	55	59	66	68	42	75	60	0
3	Justin Nachbaur (R)			X		100.00	74	62	50	53	82	62	65	51	54	50	52	55	53	66	68	42	75	56	0
4	Marshall Warren				X	100.00	64	38	80	65	71	76	82	64	30	69	54	57	49	65	67	47	75	62	0
5	Jackson van de Leest (R)				X	100.00	88	63	83	55	97	62	66	54	30	53	52	60	45	65	67	42	75	60	0
6	Mason Geertsen				X	100.00	80	78	53	55	93	69	73	54	50	53	52	58	51	71	73	49	75	59	0

	TEAM AVERAGE					100.00	70	45	81	63	78	79	81	62	50	61	59	61	57	68	70	47	75	63

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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`)
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7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Hunter Shepard	100.00	75	82	78	77	74	73	75	74	73	75	74	71	85	49	75	64	0
2	Filip Larsson	100.00	69	77	72	79	68	67	69	68	67	69	68	70	81	42	75	61	0
Scratches
1	Hunter Jones	100.00	58	71	67	85	57	56	58	57	56	58	57	66	75	65	75	55	0

	TEAM AVERAGE	100.00	67	77	72	80	66	65	67	66	65	67	66	69	80	52	75	60

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Derek Laxdal	68	70	72	70	92	87	56	CAN	60	2	400,000$

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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	PPP	PPS	PPM	PKM	GW	GT	FO%	FOT	P/20	PSS	S1	S2	S3
1	Michael Carcone	Wild (MIN)	C/LW/RW	3	3	2	5	-1	0	8	8	15	4	13	20.00%	0	79	26.47	0	0	3	6	8	1	0	41.03%	117	1.26	1	1	0	0
2	Jonny Brodzinski	Wild (MIN)	C	3	2	2	4	4	0	0	10	13	3	11	15.38%	1	67	22.47	1	1	1	8	8	1	0	52.11%	71	1.19	1	0	1	0
3	Sam Rinzel	Wild (MIN)	D	3	0	4	4	2	2	6	6	4	4	5	0.00%	8	77	25.76	0	0	3	8	6	0	0	0.00%	0	1.04	0	0	0	1
4	Walker Duehr	Wild (MIN)	RW	3	1	3	4	-1	0	8	5	10	3	2	10.00%	1	67	22.44	0	0	2	6	4	0	0	44.44%	9	1.19	1	0	0	0
5	Justin Bailey	Wild (MIN)	RW	3	2	1	3	4	2	3	4	11	5	5	18.18%	1	56	18.67	0	0	1	8	0	0	0	66.67%	6	1.07	1	1	0	0
6	Alex Alexeyev	Wild (MIN)	D	3	0	3	3	3	0	9	3	5	1	1	0.00%	6	64	21.62	0	0	2	6	6	0	0	0.00%	0	0.93	0	0	1	0
7	Berkly Catton	Wild (MIN)	C	3	0	2	2	1	0	0	10	7	1	6	0.00%	3	48	16.27	0	0	0	0	0	0	0	69.23%	13	0.82	1	0	0	0
8	Kevin Gravel	Wild (MIN)	D	3	1	1	2	2	0	11	3	4	1	3	25.00%	7	81	27.33	0	0	1	8	7	0	0	0.00%	0	0.49	0	0	0	0
9	Michael Eyssimont	Wild (MIN)	C/LW	3	0	2	2	4	0	6	6	4	1	5	0.00%	0	56	18.81	0	0	2	8	0	0	0	75.00%	4	0.71	0	0	0	1
10	Steven Santini	Wild (MIN)	D	3	0	2	2	3	2	4	0	4	1	0	0.00%	2	66	22.01	0	0	2	6	5	0	0	0.00%	0	0.61	0	0	0	0
11	Alex Barre-Boulet	Wild (MIN)	C/LW/RW	3	1	0	1	1	2	1	13	8	0	6	12.50%	0	45	15.18	0	0	0	0	0	0	0	51.85%	54	0.44	0	0	0	0
12	Trey Fix-Wolansky	Wild (MIN)	RW	3	1	0	1	1	6	5	2	8	1	2	12.50%	0	41	13.83	0	0	0	0	0	0	0	66.67%	3	0.48	0	0	0	0
13	Matt Kiersted	Wild (MIN)	D	3	1	0	1	-1	0	3	1	4	0	0	25.00%	2	39	13.14	0	0	0	0	0	0	1	0.00%	0	0.51	0	0	0	0
14	Montana Onyebuchi	Wild (MIN)	D	3	0	1	1	-1	2	6	0	0	0	1	0.00%	2	40	13.37	0	0	0	0	1	0	0	0.00%	0	0.50	0	0	0	0
15	Anthony Richard	Wild (MIN)	C/LW	3	0	0	0	-1	0	1	6	17	1	4	0.00%	2	71	23.91	0	0	2	6	5	0	0	50.00%	2	0.00	1	0	0	0
16	Joey Larson	Wild (MIN)	RW	3	0	0	0	0	0	0	0	1	0	1	0.00%	0	5	1.81	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0
17	Sean Farrell	Wild (MIN)	C	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.17	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0
Team Total or Average				51	12	23	35	20	16	71	77	115	26	65	10.43%	35	909	17.84	1	1	19	76	53	2	1	48.75%	279	0.77	6	2	2	2

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Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Hunter Shepard	Wild (MIN)	3	2	0	1	0.933	2.23	188	0	0	7	105	0	0	0	0.833	6	3	0	1	0	0
Team Total or Average			3	2	0	1	0.933	2.23	188	0	0	7	105	0	0	0	0.833	6	3	0	1	0	0

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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`)
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5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Alex Alexeyev	D	28	1999-11-15	No	229 Lbs	6 ft4	No	No	Yes	3	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Alex Barre-Boulet	C/LW/RW	30	1997-05-21	No	178 Lbs	5 ft10	No	No	Yes	3	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Anthony Richard	C/LW	31	1996-12-20	No	185 Lbs	5 ft10	No	No	Yes	3	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Berkly Catton	C	21	2006-01-14	Yes	179 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Filip Larsson	G	29	1998-08-17	No	194 Lbs	6 ft2	No	No	Yes	2	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Hudson Fasching	RW	32	1995-07-28	No	209 Lbs	6 ft3	No	No	Yes	1	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Hunter Jones	G	27	2000-09-21	No	194 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Hunter Shepard	G	32	1995-11-07	No	225 Lbs	5 ft11	No	No	Yes	2	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Jackson van de Leest	D	26	2001-06-15	Yes	225 Lbs	6 ft6	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Joey Larson	RW	26	2001-03-27	Yes	185 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jonny Brodzinski	C	34	1993-06-19	No	206 Lbs	6 ft0	No	No	Yes	3	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Justin Bailey	RW	32	1995-07-01	No	214 Lbs	6 ft4	No	No	Yes	1	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Justin Nachbaur	RW	27	2000-03-04	Yes	212 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Kevin Gravel	D	35	1992-03-06	No	205 Lbs	6 ft4	No	No	Yes	3	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Marshall Warren	D	26	2001-04-20	No	195 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Mason Geertsen	D	32	1995-04-19	No	231 Lbs	6 ft4	No	No	Yes	1	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Matt Kiersted	D	29	1998-04-14	No	182 Lbs	6 ft0	No	No	Yes	2	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Michael Carcone	C/LW/RW	31	1996-05-19	No	182 Lbs	5 ft9	No	No	Yes	3	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Michael Eyssimont	C/LW	31	1996-09-09	No	195 Lbs	6 ft0	No	No	Yes	3	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Michal Kunc	LW	27	2000-10-31	Yes	187 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Mitchell Chaffee	RW	29	1998-01-26	No	197 Lbs	6 ft1	No	No	Yes	3	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Montana Onyebuchi	D	27	2000-03-08	No	201 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Sam Rinzel	D	23	2004-06-25	Yes	194 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Sean Farrell	C	26	2001-11-02	No	175 Lbs	5 ft9	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Steven Santini	D	32	1995-03-07	No	217 Lbs	6 ft3	No	No	Yes	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Trey Fix-Wolansky	RW	28	1999-05-26	No	191 Lbs	5 ft7	No	No	Yes	2	UFA	Pro & Farm	999,000$	0$	0$	No	Link / NHL Link
Walker Duehr	RW	30	1997-11-23	No	210 Lbs	6 ft2	No	No	Yes	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	28.93	200 Lbs	6 ft1	2.00	917,555$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Anthony Richard	Michael Carcone	Walker Duehr	40	1	2	2
2	Michael Eyssimont	Jonny Brodzinski	Justin Bailey	30	1	2	2
3	Berkly Catton	Alex Barre-Boulet	Trey Fix-Wolansky	20	1	2	2
4	Michael Carcone	Berkly Catton	Joey Larson	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sam Rinzel	Kevin Gravel	40	1	2	2
2	Steven Santini	Alex Alexeyev	30	1	2	2
3	Matt Kiersted	Montana Onyebuchi	20	1	2	2
4	Sam Rinzel	Kevin Gravel	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Anthony Richard	Michael Carcone	Walker Duehr	60	1	2	2
2	Michael Eyssimont	Jonny Brodzinski	Justin Bailey	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sam Rinzel	Kevin Gravel	60	1	2	2
2	Steven Santini	Alex Alexeyev	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Michael Carcone	Jonny Brodzinski	60	1	2	2
2	Walker Duehr	Anthony Richard	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sam Rinzel	Kevin Gravel	60	1	2	2
2	Steven Santini	Alex Alexeyev	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Michael Carcone	60	1	2	2	Sam Rinzel	Kevin Gravel	60	1	2	2
2	Jonny Brodzinski	40	1	2	2	Steven Santini	Alex Alexeyev	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Michael Carcone	Jonny Brodzinski	60	1	2	2
2	Walker Duehr	Anthony Richard	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sam Rinzel	Kevin Gravel	60	1	2	2
2	Steven Santini	Alex Alexeyev	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Anthony Richard	Michael Carcone	Walker Duehr	Sam Rinzel	Kevin Gravel

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Anthony Richard	Michael Carcone	Walker Duehr	Sam Rinzel	Kevin Gravel

Extra Forwards
Normal	PowerPlay	Penalty Kill
Sean Farrell, Hudson Fasching, Alex Barre-Boulet	Sean Farrell, Hudson Fasching	Alex Barre-Boulet

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Matt Kiersted, Montana Onyebuchi, Steven Santini	Matt Kiersted	Montana Onyebuchi, Steven Santini

Penalty Shots
Michael Carcone, Jonny Brodzinski, Walker Duehr, Anthony Richard, Justin Bailey

Goalie
#1 : Hunter Shepard, #2 : Filip Larsson

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

Custom OT Lines Defensemen
, , , ,

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1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
3	5	W2	12	23	35	115	105	35	16	71	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	0	1	0	0	1	12	8

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	0	1	0	0	0	4	3

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	0	0	0	0	1	8	5

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	0	0	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
9	1	11.11%	7	0	100.00%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
27	35	47	12	2	7	2	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
63	119	52.94%	46	107	42.99%	27	43	62.79%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
73	53	77	21	36	18

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
3 - 2026-10-01	12	Wild	2	Admirals	3	L	X	X	BoxScore
5 - 2026-10-03	30	Bruins	3	Wild	4	W	X		BoxScore
8 - 2026-10-06	49	Wild	6	Americans	2	W			BoxScore
10 - 2026-10-08	59	Wild	-	Crunch	-
12 - 2026-10-10	73	Wild	-	Checkers	-
14 - 2026-10-12	89	Silver Knights	-	Wild	-
15 - 2026-10-13	99	Wild	-	Moose	-
17 - 2026-10-15	115	Thunderbirds	-	Wild	-
20 - 2026-10-18	135	Monsters	-	Wild	-
22 - 2026-10-20	148	Wild	-	Condors	-
24 - 2026-10-22	162	Wild	-	Wranglers	-
26 - 2026-10-24	179	Wild	-	Firebirds	-
27 - 2026-10-25	184	Wild	-	Canucks	-
29 - 2026-10-27	195	Wild	-	Roadrunners	-
31 - 2026-10-29	209	Hammers	-	Wild	-
34 - 2026-11-01	228	Wild	-	Bears	-
36 - 2026-11-03	240	Wild	-	Phantoms	-
39 - 2026-11-06	264	Barracuda	-	Wild	-
40 - 2026-11-07	273	Crunch	-	Wild	-
43 - 2026-11-10	288	Wild	-	Rocket	-
45 - 2026-11-12	304	Wild	-	Marlies	-
47 - 2026-11-14	314	Wild	-	Bruins	-
50 - 2026-11-17	340	Admirals	-	Wild	-
52 - 2026-11-19	353	Wild	-	Wranglers	-
54 - 2026-11-21	371	Wild	-	Canucks	-
56 - 2026-11-23	384	Wild	-	Barracuda	-
58 - 2026-11-25	396	Roadrunners	-	Wild	-
60 - 2026-11-27	409	Eagles	-	Wild	-
62 - 2026-11-29	428	Wild	-	IceHogs	-
64 - 2026-12-01	443	Wild	-	Gulls	-
66 - 2026-12-03	458	Wild	-	Reign	-
68 - 2026-12-05	473	Phantoms	-	Wild	-
71 - 2026-12-08	494	Condors	-	Wild	-
73 - 2026-12-10	503	Wild	-	Monsters	-
75 - 2026-12-12	516	Moose	-	Wild	-
78 - 2026-12-15	542	Marlies	-	Wild	-
81 - 2026-12-18	564	Gulls	-	Wild	-
82 - 2026-12-19	572	Rocket	-	Wild	-
85 - 2026-12-22	597	Reign	-	Wild	-
89 - 2026-12-26	607	Moose	-	Wild	-
91 - 2026-12-28	619	Silver Knights	-	Wild	-
95 - 2027-01-01	654	Wild	-	Penguins	-
96 - 2027-01-02	661	Thunderbirds	-	Wild	-
99 - 2027-01-05	689	Wild	-	Gulls	-
101 - 2027-01-07	703	Wild	-	Silver Knights	-
103 - 2027-01-09	717	Admirals	-	Wild	-
108 - 2027-01-14	751	Checkers	-	Wild	-
110 - 2027-01-16	765	Wild	-	Thunderbirds	-
111 - 2027-01-17	772	Wild	-	Griffins	-
113 - 2027-01-19	790	Wild	-	Moose	-
115 - 2027-01-21	806	Griffins	-	Wild	-
117 - 2027-01-23	821	Wolf Pack	-	Wild	-
119 - 2027-01-25	833	Wild	-	Roadrunners	-
120 - 2027-01-26	843	Canucks	-	Wild	-
122 - 2027-01-28	857	Firebirds	-	Wild	-
124 - 2027-01-30	875	Stars	-	Wild	-
136 - 2027-02-11	904	Wild	-	Wolves	-
138 - 2027-02-13	921	Wild	-	Hammers	-
140 - 2027-02-15	934	Senators	-	Wild	-
141 - 2027-02-16	942	Wild	-	Stars	-
143 - 2027-02-18	957	Reign	-	Wild	-
145 - 2027-02-20	969	Wild	-	IceHogs	-
148 - 2027-02-23	997	Penguins	-	Wild	-
152 - 2027-02-27	1021	Wild	-	Thunderbirds	-
153 - 2027-02-28	1032	Comets	-	Wild	-
156 - 2027-03-03	1051	Wild	-	Stars	-
159 - 2027-03-06	1077	Wild	-	Admirals	-
160 - 2027-03-07	1088	Bears	-	Wild	-
162 - 2027-03-09	1097	Wolves	-	Wild	-
164 - 2027-03-11	1109	Wild	-	Senators	-
167 - 2027-03-14	1137	Americans	-	Wild	-
170 - 2027-03-17	1156	Wild	-	Eagles	-
172 - 2027-03-19	1171	Wranglers	-	Wild	-
174 - 2027-03-21	1186	Roadrunners	-	Wild	-
176 - 2027-03-23	1201	IceHogs	-	Wild	-
178 - 2027-03-25	1221	Condors	-	Wild	-
180 - 2027-03-27	1229	Firebirds	-	Wild	-
182 - 2027-03-29	1245	Wild	-	Wolf Pack	-
184 - 2027-03-31	1259	Wild	-	Comets	-
186 - 2027-04-02	1274	Stars	-	Wild	-
188 - 2027-04-04	1290	Eagles	-	Wild	-
190 - 2027-04-06	1307	IceHogs	-	Wild	-
192 - 2027-04-08	1323	Wild	-	Barracuda	-
194 - 2027-04-10	1330	Wild	-	Eagles	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3000	2000
Ticket Price	50	30
Attendance	2,550	1,700
Attendance PCT	85.00%	85.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
41	4250 - 85.00%	169,575$	169,575$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
132,972$	2,477,400$	2,477,400$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	114,415$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
6,952,575$	185	14,832$	2,743,920$

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
2020	56	17	28	0	3	2	5	1	190	209	-19	28	7	16	0	1	1	2	1	85	98	-13	28	10	12	0	2	1	3	0	105	111	-6	53	190	342	532	0	1	0	70	57	55	2038	0	645	653	711	1952	577	369	1340	190	34	17.89%	164	32	80.49%	2	1097	2128	51.55%	968	1965	49.26%	478	940	50.85%	1365	940	1312	407	726	368
2021	82	33	26	0	6	8	5	4	252	243	9	41	17	13	0	1	6	3	1	128	123	5	41	16	13	0	5	2	2	3	124	120	4	100	252	456	708	2	3	0	95	76	70	2491	0	822	801	830	2759	867	554	1770	271	50	18.45%	221	43	80.54%	1	1404	2734	51.35%	1437	2928	49.08%	658	1271	51.77%	1983	1378	1949	602	1054	529
2022	82	29	44	0	4	4	1	0	269	305	-36	41	15	21	0	2	2	1	0	139	154	-15	41	14	23	0	2	2	0	0	130	151	-21	72	269	481	750	0	1	0	110	74	80	2742	0	943	877	897	2930	825	742	1984	296	64	21.62%	315	76	75.87%	3	1519	2979	50.99%	1509	3088	48.87%	673	1371	49.09%	1919	1308	1970	611	1060	527
2023	83	41	29	0	6	4	2	1	272	249	23	41	25	12	0	2	1	1	0	146	123	23	42	16	17	0	4	3	1	1	126	126	0	103	272	493	765	2	3	0	99	84	81	2717	0	861	893	942	2703	827	680	1804	304	62	20.39%	308	65	78.90%	5	1447	2925	49.47%	1430	2928	48.84%	647	1303	49.65%	1986	1374	1961	611	1062	530
2024	82	33	32	0	3	6	5	3	236	227	9	41	20	17	0	1	1	2	0	124	106	18	41	13	15	0	2	5	3	3	112	121	-9	91	236	425	661	5	7	0	64	100	64	2341	0	697	829	789	2378	665	592	1978	244	38	15.57%	263	56	78.71%	3	1342	2619	51.24%	1348	2703	49.87%	576	1189	48.44%	1908	1312	2013	613	1058	516
2025	82	31	38	0	4	5	1	3	222	238	-16	41	21	15	0	1	2	0	2	118	111	7	41	10	23	0	3	3	1	1	104	127	-23	80	222	407	629	0	2	0	82	79	56	2316	0	741	771	785	2473	736	669	1905	215	31	14.42%	265	45	83.02%	1	1271	2581	49.24%	1332	2836	46.97%	633	1284	49.30%	1877	1282	2019	614	1056	514
2026	3	1	0	0	1	0	0	1	12	8	4	1	0	0	0	1	0	0	0	4	3	1	2	1	0	0	0	0	0	1	8	5	3	5	12	23	35	0	0	2	7	2	1	115	27	35	47	12	105	35	16	71	9	1	11.11%	7	0	100.00%	0	63	119	52.94%	46	107	42.99%	27	43	62.79%	73	53	77	21	36	18
Total Regular Season	470	185	197	0	27	29	19	13	1453	1479	-26	234	105	94	0	9	13	9	4	744	718	26	236	80	103	0	18	16	10	9	709	761	-52	504	1453	2627	4080	9	17	2	527	472	407	14760	27	4744	4871	4966	15300	4532	3622	10852	1529	280	18.31%	1543	317	79.46%	15	8143	16085	50.62%	8070	16555	48.75%	3692	7401	49.89%	11114	7649	11305	3481	6055	3006
Playoff
2021	10	5	5	0	0	0	0	0	31	34	-3	6	4	2	0	0	0	0	0	23	17	6	4	1	3	0	0	0	0	0	8	17	-9	10	31	59	90	0	0	0	13	7	9	275	0	104	65	88	318	102	85	199	27	6	22.22%	32	3	90.63%	0	186	343	54.23%	201	347	57.93%	93	165	56.36%	245	168	247	76	133	67
2023	5	1	4	0	0	0	0	0	11	18	-7	2	0	2	0	0	0	0	0	5	9	-4	3	1	2	0	0	0	0	0	6	9	-3	2	11	21	32	0	1	0	3	3	5	165	0	44	59	62	174	47	44	108	24	2	8.33%	20	4	80.00%	0	88	177	49.72%	99	177	55.93%	40	74	54.05%	124	82	110	38	64	33
Total Playoff	15	6	9	0	0	0	0	0	42	52	-10	8	4	4	0	0	0	0	0	28	26	2	7	2	5	0	0	0	0	0	14	26	-12	12	42	80	122	0	1	0	16	10	14	440	0	148	124	150	492	149	129	307	51	8	15.69%	52	7	86.54%	0	274	520	52.69%	300	524	57.25%	133	239	55.65%	370	251	358	114	198	100