LHS - Ligue de Hockey Simule

Jets
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records
Web Lines Editor

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
1	Julien Gauthier	0			X		100.00	82	40	95	69	92	77	79	64	57	60	68	62	67	69	71	0	75	67	0
2	Max Jones (R)	0		X			100.00	78	53	73	65	87	80	83	63	57	64	62	63	65	68	69	0	75	65	0
3	Gerry Mayhew	0	X		X		100.00	62	38	75	61	63	84	86	60	65	58	62	56	61	72	74	0	75	62	0
4	Brian Pinho	0	X				100.00	66	37	95	60	75	85	83	58	68	61	57	59	58	69	71	0	75	62	0
5	Brett Sutter	0	X				100.00	65	39	78	56	74	78	81	54	55	53	57	62	56	77	82	0	75	61	0
6	CJ Suess	26		X			100.00	61	38	81	59	70	76	81	56	63	57	58	54	55	70	72	0	75	60	0
7	Antonio Stranges (R)	0	X				100.00	57	36	95	60	66	81	73	58	61	59	57	56	61	63	65	0	75	60	0
8	Brendan Furry	0		X			100.00	68	39	78	59	77	75	70	56	60	58	57	55	59	66	68	0	75	60	0
9	Hayden Hodgson	0			X		100.00	77	55	53	58	82	69	77	57	60	56	55	59	57	68	70	0	75	60	0
10	Casey Dornbach	0			X		100.00	62	38	95	55	71	64	61	54	50	52	53	51	55	67	69	0	75	57	0
11	Ethan de Jong	0			X		100.00	60	35	95	56	69	60	61	55	52	54	50	51	53	65	67	0	75	57	0
12	Zayde Wisdom (R)	0	X				100.00	62	38	86	55	71	69	77	54	58	52	53	51	55	62	64	0	75	57	0
13	Marc Del Gaizo (R)	0				X	100.00	69	38	80	65	70	85	86	63	30	66	58	64	49	65	67	0	75	63	0
14	Reilly Walsh (R)	0				X	100.00	61	37	87	62	71	72	84	58	30	61	56	57	48	65	67	0	75	61	0
15	William Wallinder (R)	0				X	100.00	76	39	95	58	85	68	72	56	30	54	52	57	45	62	64	0	75	60	0
16	Dmitry Osipov	0				X	100.00	83	68	64	54	92	62	73	53	30	52	51	59	47	68	70	0	75	59	0
17	Mitch Reinke	0				X	100.00	60	37	92	57	69	66	74	56	30	58	53	54	46	68	70	0	75	59	0
18	Kyle Marino	0				X	100.00	78	73	59	55	87	66	81	54	57	52	53	56	54	69	71	0	75	59	0
19	Matt Pietroniro	0				X	100.00	65	43	65	56	74	63	76	55	30	54	53	57	45	66	68	0	75	58	0
Scratches

	TEAM AVERAGE					100.00	68	43	81	59	76	73	77	57	50	57	56	57	55	67	69	0	75	60

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
1	Aaron Dell	100.00	75	80	74	77	74	73	75	74	73	75	74	76	89	0	75	66	0
2	Michael Houser	100.00	67	75	70	74	66	65	67	66	65	67	66	73	86	0	75	62	0
Scratches

	TEAM AVERAGE	100.00	71	78	72	76	70	69	71	70	69	71	70	75	88	0	75	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mark Recchi	68	63	69	73	84	78	63	CAN	56	3	1,000,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	FW	S1	S2	S3
1	Max Jones	Moose (WPG)	LW	24	11	15	26	6	21	5	99	58	85	37	78	12.94%	9	581	24.23	0	4	4	10	61	0	2	2	2	68	2	1	51.90%	158	0	0	0.89	1	3	2	1
2	Andrew Poturalski	Jets	C/LW/RW	22	11	13	24	4	0	0	7	71	65	23	54	16.92%	11	482	21.92	4	2	6	12	57	2	0	2	4	65	2	0	52.31%	585	1	1	1.00	0	3	1	0
3	Marc Del Gaizo	Moose (WPG)	D	24	6	18	24	-1	22	0	60	35	47	16	22	12.77%	50	584	24.36	3	2	5	26	60	0	2	2	0	58	0	0	0.00%	0	0	0	0.82	0	0	0	3
4	Brendan Furry	Moose (WPG)	LW	24	7	14	21	-2	6	0	26	39	64	24	65	10.94%	6	433	18.07	2	3	5	15	61	0	0	0	0	0	0	0	37.14%	35	0	0	0.97	0	1	0	1
5	Gerry Mayhew	Moose (WPG)	C/RW	24	9	8	17	0	6	0	20	26	68	19	44	13.24%	10	481	20.07	1	3	4	13	63	1	0	1	1	32	2	0	56.25%	32	0	0	0.71	0	0	4	1
6	Brian Pinho	Moose (WPG)	C	24	6	11	17	-1	0	0	15	73	69	27	47	8.70%	5	476	19.84	2	4	6	10	61	0	1	1	1	38	1	0	51.60%	593	0	0	0.71	0	0	1	1
7	Hayden Hodgson	Moose (WPG)	RW	24	7	10	17	-1	28	0	79	30	70	20	49	10.00%	4	405	16.91	2	3	5	6	44	0	0	0	0	0	0	0	60.00%	20	0	0	0.84	0	1	0	1
8	Brett Sutter	Moose (WPG)	C	24	6	7	13	-11	12	0	36	47	45	11	40	13.33%	3	340	14.17	0	0	0	1	3	0	0	0	0	4	2	0	43.75%	400	0	0	0.76	0	0	0	0
9	Matt Pietroniro	Moose (WPG)	D	24	2	9	11	1	16	0	66	16	12	6	13	16.67%	36	376	15.68	0	0	0	0	2	0	0	0	0	28	0	0	0.00%	0	0	0	0.58	0	0	1	0
10	Mitch Reinke	Moose (WPG)	D	19	3	8	11	-2	4	0	10	13	11	0	5	27.27%	22	282	14.85	1	1	2	0	4	0	0	0	0	6	1	0	0.00%	0	0	0	0.78	0	1	0	0
11	CJ Suess	Moose (WPG)	LW	24	4	5	9	-8	2	0	17	23	35	13	32	11.43%	3	346	14.44	0	0	0	0	0	0	0	0	0	15	0	0	41.67%	12	0	0	0.52	0	0	0	0
12	Reilly Walsh	Moose (WPG)	D	24	1	8	9	-3	4	0	20	31	25	7	16	4.00%	31	587	24.49	1	3	4	13	57	0	0	0	1	62	0	0	0.00%	0	0	0	0.31	0	0	0	0
13	Kyle Marino	Moose (WPG)	D	24	2	7	9	-7	24	0	45	16	34	6	15	5.88%	32	480	20.01	0	1	1	13	60	0	1	1	0	50	0	0	0.00%	0	0	0	0.37	0	0	0	1
14	Julien Gauthier	Moose (WPG)	RW	9	3	5	8	0	6	0	11	11	28	7	16	10.71%	2	158	17.60	1	1	2	2	15	1	0	1	1	23	0	0	43.53%	85	0	0	1.01	0	0	0	1
15	Dmitry Osipov	Moose (WPG)	D	24	0	6	6	-6	24	0	54	21	21	6	19	0.00%	33	491	20.48	0	0	0	7	60	0	0	0	0	59	0	0	0.00%	0	0	0	0.24	0	0	0	1
16	Antonio Stranges	Moose (WPG)	C	24	2	1	3	-1	0	0	1	13	12	7	11	16.67%	8	174	7.28	0	0	0	0	0	0	0	0	0	21	0	0	44.17%	120	0	0	0.34	0	0	0	0
17	Ethan de Jong	Moose (WPG)	RW	24	2	1	3	-11	2	0	12	19	22	1	21	9.09%	3	275	11.47	0	0	0	0	0	0	0	0	0	0	0	0	47.37%	19	0	0	0.22	0	0	0	0
18	William Wallinder	Moose (WPG)	D	23	1	2	3	5	10	0	53	9	8	2	6	12.50%	19	351	15.30	0	0	0	0	1	0	0	0	0	22	0	0	0.00%	0	0	0	0.17	0	0	0	0
19	Casey Dornbach	Moose (WPG)	RW	24	0	1	1	-1	0	0	1	3	7	0	4	0.00%	0	79	3.33	0	0	0	0	1	0	0	0	0	0	0	0	69.23%	13	0	0	0.25	0	0	0	0
20	Zayde Wisdom	Moose (WPG)	C	24	0	0	0	-3	0	0	2	2	0	1	0	0.00%	0	17	0.73	0	0	0	0	1	0	0	0	0	0	0	0	50.00%	4	0	0	0.00	0	0	0	0
Team Total or Average				457	83	149	232	-42	187	5	634	556	728	233	557	11.40%	287	7408	16.21	17	27	44	128	620	4	6	10	10	560	10	1	49.47%	2076	1	1	0.63	1	9	9	11

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	PCT	GAA	MP	PIM	GA	SA	A	EG	ST	BG	S1	S2
1	Aaron Dell	Moose (WPG)	24	10	13	0.891	3.99	1219	2	81	741	1	1	24	0	1	1
2	Michael Houser	Moose (WPG)	6	0	1	0.921	2.18	220	0	8	101	0	0	0	24	0	0
Team Total or Average			30	10	14	0.894	3.71	1439	2	89	842	1	1	24	24	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	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
Aaron Dell	G	35	1989-05-04	No	213 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	838,800$	0$	0$	No	Link / NHL Link
Antonio Stranges	C	22	2002-02-05	Yes	168 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Brendan Furry	LW	26	1998-07-08	No	198 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Brett Sutter	C	37	1987-06-02	No	200 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Brian Pinho	C	29	1995-05-11	No	190 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
CJ Suess	LW	30	1994-03-17	No	190 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Casey Dornbach	RW	27	1997-07-07	No	181 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Dmitry Osipov	D	28	1996-10-04	No	230 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Ethan de Jong	RW	25	1999-07-12	No	181 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Gerry Mayhew	C/RW	31	1992-12-31	No	161 Lbs	5 ft9	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Hayden Hodgson	RW	28	1996-03-02	No	208 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	975,000$	0$	0$	No	Link / NHL Link
Julien Gauthier	RW	26	1997-10-15	No	226 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	989,200$	0$	0$	No	Link / NHL Link
Kyle Marino	D	29	1995-06-01	No	220 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Marc Del Gaizo	D	24	1999-10-11	Yes	188 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Matt Pietroniro	D	25	1998-10-20	No	185 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Max Jones	LW	26	1998-02-17	Yes	216 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Michael Houser	G	32	1992-09-13	No	185 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	975,000$	0$	0$	No	Link / NHL Link
Mitch Reinke	D	28	1996-02-04	No	181 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Reilly Walsh	D	25	1999-04-21	Yes	185 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	975,000$	0$	0$	No	Link / NHL Link
William Wallinder	D	22	2002-07-28	Yes	191 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Zayde Wisdom	C	22	2002-07-07	Yes	195 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	27.48	195 Lbs	6 ft1	1.57	845,381$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Max Jones		Gerry Mayhew	40	1	2	2
2	Brendan Furry	Brian Pinho	Hayden Hodgson	30	1	2	2
3	CJ Suess	Brett Sutter	Ethan de Jong	20	1	2	2
4	Max Jones	Antonio Stranges	Casey Dornbach	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Marc Del Gaizo	Reilly Walsh	40	1	2	2
2	Dmitry Osipov	Kyle Marino	30	1	2	2
3	Mitch Reinke	Matt Pietroniro	20	1	2	2
4	Marc Del Gaizo	Reilly Walsh	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Max Jones		Gerry Mayhew	60	1	2	2
2	Brendan Furry	Brian Pinho	Hayden Hodgson	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Marc Del Gaizo	Reilly Walsh	60	1	2	2
2	Dmitry Osipov	Kyle Marino	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Max Jones		60	1	2	2
2	Brian Pinho	Gerry Mayhew	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Marc Del Gaizo	Reilly Walsh	60	1	2	2
2	Dmitry Osipov	Kyle Marino	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Max Jones	60	1	2	2	Marc Del Gaizo	Reilly Walsh	60	1	2	2
2		40	1	2	2	Dmitry Osipov	Kyle Marino	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Max Jones		60	1	2	2
2	Brian Pinho	Gerry Mayhew	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Marc Del Gaizo	Reilly Walsh	60	1	2	2
2	Dmitry Osipov	Kyle Marino	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Max Jones		Gerry Mayhew	Marc Del Gaizo	Reilly Walsh

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Max Jones		Gerry Mayhew	Marc Del Gaizo	Reilly Walsh

Extra Forwards
Normal	PowerPlay	Penalty Kill
Zayde Wisdom, Brett Sutter, Antonio Stranges	Zayde Wisdom, Brett Sutter	Antonio Stranges

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Mitch Reinke, Matt Pietroniro, Dmitry Osipov	Mitch Reinke	Matt Pietroniro, Dmitry Osipov

Penalty Shots
Max Jones, , Brian Pinho, Gerry Mayhew, Brett Sutter

Goalie
#1 : Aaron Dell, #2 : Michael Houser

Custom OT Lines Forwards
Max Jones, , Brian Pinho, Gerry Mayhew, Brett Sutter, Antonio Stranges, Antonio Stranges, Brendan Furry, CJ Suess, Hayden Hodgson, Ethan de Jong

Custom OT Lines Defensemen
Marc Del Gaizo, Reilly Walsh, Dmitry Osipov, Kyle Marino, Mitch Reinke

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
24	20	W1	82	147	229	720	843	268	179	581	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
24	9	14	1	0	0	0	82	90

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	2	8	0	0	0	0	26	41

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	7	6	1	0	0	0	56	49

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	6	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
73	17	23.29%	81	17	79.01%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
226	237	253	4	28	28	25	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
385	783	49.17%	427	875	48.80%	215	411	52.31%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
547	368	581	180	312	155

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	Link
6 - 2024-10-09	8	Moose	2	Condors	3	L		BoxScore
8 - 2024-10-11	21	IceHogs	7	Moose	1	L		BoxScore
10 - 2024-10-13	38	Wild	1	Moose	3	W		BoxScore
15 - 2024-10-18	73	Barracuda	5	Moose	3	L		BoxScore
17 - 2024-10-20	88	Penguins	4	Moose	2	L		BoxScore
19 - 2024-10-22	99	Moose	5	Thunderbirds	2	W		BoxScore
21 - 2024-10-24	116	Moose	5	Firebirds	4	W		BoxScore
23 - 2024-10-26	129	Moose	3	Wranglers	2	W		BoxScore
25 - 2024-10-28	143	Marlies	2	Moose	7	W		BoxScore
27 - 2024-10-30	156	Moose	2	Griffins	6	L		BoxScore
29 - 2024-11-01	171	Moose	5	Monsters	2	W		BoxScore
31 - 2024-11-03	186	Crunch	6	Moose	1	L		BoxScore
33 - 2024-11-05	201	Roadrunners	4	Moose	2	L		BoxScore
35 - 2024-11-07	217	Eagles	4	Moose	1	L		BoxScore
37 - 2024-11-09	230	Stars	4	Moose	3	L		BoxScore
40 - 2024-11-12	247	Moose	2	Wolf Pack	5	L		BoxScore
42 - 2024-11-14	259	Moose	3	Crunch	5	L		BoxScore
44 - 2024-11-16	277	Moose	5	Checkers	1	W		BoxScore
47 - 2024-11-19	297	Checkers	4	Moose	3	L		BoxScore
50 - 2024-11-22	316	Moose	4	Penguins	6	L		BoxScore
51 - 2024-11-23	329	Moose	7	Admirals	2	W		BoxScore
53 - 2024-11-25	342	Moose	5	Wild	4	W	X	BoxScore
55 - 2024-11-27	359	Moose	2	Reign	4	L		BoxScore
57 - 2024-11-29	374	Moose	6	Silver Knights	3	W		BoxScore
59 - 2024-12-01	391	Moose	-	Stars	-
61 - 2024-12-03	403	Thunderbirds	-	Moose	-
63 - 2024-12-05	410	Moose	-	Americans	-
65 - 2024-12-07	427	Moose	-	IceHogs	-
66 - 2024-12-08	439	Monsters	-	Moose	-
68 - 2024-12-10	452	Bruins	-	Moose	-
70 - 2024-12-12	468	Silver Knights	-	Moose	-
72 - 2024-12-14	482	Rocket	-	Moose	-
75 - 2024-12-17	506	Moose	-	Barracuda	-
76 - 2024-12-18	511	Moose	-	Gulls	-
79 - 2024-12-21	536	Wild	-	Moose	-
81 - 2024-12-23	546	Moose	-	Marlies	-
86 - 2024-12-28	574	Senators	-	Moose	-
88 - 2024-12-30	587	Admirals	-	Moose	-
89 - 2024-12-31	597	Moose	-	Eagles	-
91 - 2025-01-02	609	Gulls	-	Moose	-
93 - 2025-01-04	621	Griffins	-	Moose	-
96 - 2025-01-07	647	Admirals	-	Moose	-
99 - 2025-01-10	667	Reign	-	Moose	-
100 - 2025-01-11	678	Eagles	-	Moose	-
103 - 2025-01-14	702	Comets	-	Moose	-
105 - 2025-01-16	716	Firebirds	-	Moose	-
107 - 2025-01-18	730	Wranglers	-	Moose	-
109 - 2025-01-20	747	Moose	-	Roadrunners	-
111 - 2025-01-22	759	Moose	-	Eagles	-
113 - 2025-01-24	775	Roadrunners	-	Moose	-
115 - 2025-01-26	791	Wranglers	-	Moose	-
117 - 2025-01-28	800	Moose	-	Rocket	-
119 - 2025-01-30	812	Moose	-	Bruins	-
121 - 2025-02-01	831	Moose	-	Bears	-
124 - 2025-02-04	852	Wolves	-	Moose	-
127 - 2025-02-07	872	Sound Tigers	-	Moose	-
142 - 2025-02-22	903	Moose	-	Thunderbirds	-
144 - 2025-02-24	916	Barracuda	-	Moose	-
146 - 2025-02-26	930	Moose	-	Senators	-
147 - 2025-02-27	941	Moose	-	Admirals	-
149 - 2025-03-01	956	Phantoms	-	Moose	-
152 - 2025-03-04	978	Moose	-	Sound Tigers	-
154 - 2025-03-06	991	Moose	-	Phantoms	-
155 - 2025-03-07	997	Moose	-	Devils	-
157 - 2025-03-09	1016	Moose	-	Wolves	-
159 - 2025-03-11	1031	Wolf Pack	-	Moose	-
162 - 2025-03-14	1051	Stars	-	Moose	-
164 - 2025-03-16	1072	Moose	-	Firebirds	-
166 - 2025-03-18	1086	Moose	-	Comets	-
168 - 2025-03-20	1099	Moose	-	Condors	-
171 - 2025-03-23	1119	Americans	-	Moose	-
173 - 2025-03-25	1135	Bears	-	Moose	-
176 - 2025-03-28	1156	Devils	-	Moose	-
Trade Deadline --- Trades can’t be done after this day is simulated!
178 - 2025-03-30	1172	Comets	-	Moose	-
180 - 2025-04-01	1191	Moose	-	Reign	-
182 - 2025-04-03	1204	Moose	-	Silver Knights	-
184 - 2025-04-05	1219	Moose	-	Roadrunners	-
186 - 2025-04-07	1231	Thunderbirds	-	Moose	-
189 - 2025-04-10	1255	Moose	-	Stars	-
191 - 2025-04-12	1271	Moose	-	IceHogs	-
192 - 2025-04-13	1282	Condors	-	Moose	-
195 - 2025-04-16	1302	Gulls	-	Moose	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	25	15
Attendance	19,795	9,769
Attendance PCT	98.98%	97.69%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	2956 - 98.55%	80,176$	801,763$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
802,657$	1,775,300$	1,775,300$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	505,213$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	138	14,160$	1,954,080$

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
5	80	31	37	0	2	2	3	5	205	208	-3	40	11	22	0	1	2	2	2	98	124	-26	40	20	15	0	1	0	1	3	107	84	23	79	205	344	549	1	10	0	44	92	64	2259	0	621	874	748	2194	881	1023	1854	194	44	22.68%	196	39	80.10%	7	716	1398	51.22%	725	1466	49.45%	585	1144	51.14%	1502	663	1784	992	1828	920
5	80	34	35	0	3	2	2	4	279	275	4	40	15	17	0	2	1	1	4	149	144	5	40	19	18	0	1	1	1	0	130	131	-1	84	279	464	743	1	4	0	83	104	87	2815	0	899	988	913	2536	925	781	2203	207	55	26.57%	182	50	72.53%	7	848	1625	52.18%	728	1438	50.63%	660	1319	50.04%	1616	784	1755	948	1731	872
6	80	46	18	0	2	6	6	2	292	224	68	40	26	6	0	2	3	2	1	152	104	48	40	20	12	0	0	3	4	1	140	120	20	116	292	476	768	0	4	0	69	113	102	2699	0	764	1014	903	2172	725	1010	2289	223	60	26.91%	246	47	80.89%	9	921	1718	53.61%	823	1590	51.76%	677	1272	53.22%	1642	812	3555	1956	1718	845
6	80	35	32	0	5	4	2	2	263	232	31	40	20	13	0	5	2	0	0	139	97	42	40	15	19	0	0	2	2	2	124	135	-11	90	263	427	690	0	11	0	57	100	99	2358	0	702	801	836	2296	797	557	2191	203	29	14.29%	162	34	79.01%	4	801	1550	51.68%	735	1522	48.29%	543	1171	46.37%	1569	742	3538	1905	1736	875
7	76	41	21	0	2	2	3	7	295	234	61	38	21	10	0	1	0	1	5	150	112	38	38	20	11	0	1	2	2	2	145	122	23	101	295	496	791	0	2	0	78	116	96	2793	0	948	989	838	2448	800	1285	2058	220	52	23.64%	253	52	79.45%	8	909	1739	52.27%	808	1597	50.59%	686	1311	52.33%	1608	839	1472	745	1533	763
7	76	39	26	0	6	4	1	0	263	204	59	38	18	13	0	4	3	0	0	116	104	12	38	21	13	0	2	1	1	0	147	100	47	96	263	430	693	1	5	0	60	112	84	2566	0	780	951	814	2283	742	525	2009	201	47	23.38%	154	31	79.87%	9	861	1570	54.84%	865	1606	53.86%	620	1182	52.45%	1564	797	1430	746	1583	805
8	76	43	21	0	3	2	4	3	301	223	78	38	24	8	0	1	1	3	1	151	100	51	38	19	13	0	2	1	1	2	150	123	27	105	301	505	806	1	4	0	72	125	97	2931	0	1007	1028	878	2589	826	995	2217	205	42	20.49%	221	43	80.54%	4	970	1913	50.71%	898	1816	49.45%	573	1155	49.61%	1619	877	1512	745	1474	718
9	80	43	17	0	7	4	4	5	320	247	73	40	23	8	0	4	2	1	2	159	115	44	40	20	9	0	3	2	3	3	161	132	29	117	320	513	833	0	1	0	88	129	92	3175	0	1074	1078	986	2751	890	893	2266	202	36	17.82%	156	20	87.18%	4	1122	2057	54.55%	930	1814	51.27%	581	1220	47.62%	1724	948	1601	773	1544	765
10	80	38	22	0	7	4	4	5	289	231	58	40	22	11	0	2	2	2	1	143	108	35	40	16	11	0	5	2	2	4	146	123	23	107	289	483	772	3	2	0	72	125	81	3252	0	1164	1170	881	2667	968	820	2338	206	47	22.82%	128	30	76.56%	4	1050	2076	50.58%	867	1764	49.15%	621	1197	51.88%	1748	956	1538	763	1571	788
11	80	44	17	0	7	3	6	3	291	210	81	40	18	10	0	4	2	4	2	143	116	27	40	26	7	0	3	1	2	1	148	94	54	120	291	487	778	2	3	0	76	110	92	3238	0	1108	1126	972	2595	854	687	2330	225	59	26.22%	134	32	76.12%	3	1023	2054	49.81%	903	1767	51.10%	614	1229	49.96%	1738	952	1546	782	1576	777
12	76	46	19	0	0	5	4	2	299	237	62	38	24	11	0	0	3	0	0	143	113	30	38	22	8	0	0	2	4	2	156	124	32	107	299	504	803	0	1	0	74	117	104	3303	0	1168	1182	946	2650	891	877	2045	227	64	28.19%	125	31	75.20%	1	1031	2008	51.34%	862	1708	50.47%	626	1234	50.73%	1686	949	1461	710	1449	722
13	80	32	30	0	2	4	8	4	262	253	9	40	16	15	0	2	2	2	3	138	131	7	40	16	15	0	0	2	6	1	124	122	2	92	262	428	690	0	0	0	64	100	88	3073	0	1007	1093	954	2826	940	663	2193	214	58	27.10%	258	61	76.36%	11	1059	2007	52.77%	1004	1967	51.04%	617	1219	50.62%	1706	911	1602	786	1557	768
14	80	44	25	0	3	0	4	4	323	244	79	40	23	13	0	1	0	2	1	163	117	46	40	21	12	0	2	0	2	3	160	127	33	106	323	540	863	3	1	0	81	129	106	3292	0	1123	1147	1003	2854	916	1074	2334	227	73	32.16%	261	66	74.71%	4	990	2035	48.65%	1018	2018	50.45%	627	1263	49.64%	1749	965	1577	772	1522	747
15	80	39	25	0	1	6	3	6	278	248	30	40	25	10	0	0	2	1	2	153	120	33	40	14	15	0	1	4	2	4	125	128	-3	98	278	458	736	5	1	0	65	115	94	3264	0	1075	1178	991	2898	939	660	2179	217	47	21.66%	224	48	78.57%	3	1039	2078	50.00%	1020	2053	49.68%	635	1211	52.44%	1742	969	1600	766	1517	748
16	76	52	11	0	2	1	4	6	289	157	132	38	24	6	0	1	1	3	3	136	76	60	38	28	5	0	1	0	1	3	153	81	72	123	289	526	815	0	5	0	112	102	69	2620	0	889	839	866	1834	591	421	1554	268	63	23.51%	181	29	83.98%	1	1440	2651	54.32%	1209	2185	55.33%	650	1157	56.18%	2039	1455	1590	535	987	516
17	80	50	9	0	5	1	8	7	298	160	138	40	27	4	0	1	0	4	4	144	79	65	40	23	5	0	4	1	4	3	154	81	73	134	298	521	819	0	12	0	101	104	80	2887	0	966	939	948	2185	605	563	1729	250	61	24.40%	233	37	84.12%	3	1613	2938	54.90%	1481	2650	55.89%	692	1250	55.36%	2097	1489	1757	578	1030	530
18	76	51	18	0	2	2	2	1	273	158	115	38	28	6	0	1	0	2	1	142	70	72	38	23	12	0	1	2	0	0	131	88	43	113	273	501	774	0	6	0	110	79	80	2724	0	967	832	915	1878	571	462	1459	243	49	20.16%	207	33	84.06%	3	1580	2725	57.98%	1240	2270	54.63%	660	1167	56.56%	2018	1447	1603	529	959	497
19	82	32	36	0	1	3	6	4	206	214	-8	41	19	17	0	0	1	3	1	112	104	8	41	13	19	0	1	2	3	3	94	110	-16	85	206	367	573	3	5	0	76	72	51	2091	0	662	715	693	2411	706	374	1475	216	53	24.54%	160	27	83.13%	1	1058	2325	45.51%	1197	2742	43.65%	591	1302	45.39%	1881	1274	1994	611	1096	544
20	82	29	39	0	4	2	4	4	241	292	-51	41	15	17	0	1	2	3	3	124	129	-5	41	14	22	0	3	0	1	1	117	163	-46	80	241	432	673	2	0	0	83	81	69	2618	0	847	884	855	2763	762	753	1958	273	60	21.98%	309	58	81.23%	4	1476	2822	52.30%	1350	2829	47.72%	682	1326	51.43%	1937	1326	1979	611	1055	518
21	82	7	66	0	3	6	0	0	242	458	-216	41	1	34	0	2	4	0	0	125	237	-112	41	6	32	0	1	2	0	0	117	221	-104	26	242	459	701	2	0	0	90	82	67	3063	0	998	1054	995	4171	1252	607	2097	213	34	15.96%	272	82	69.85%	1	1136	2948	38.53%	1352	3499	38.64%	547	1448	37.78%	1527	1035	2421	612	984	433
22	82	35	34	0	2	5	2	4	297	300	-3	41	23	11	0	0	3	2	2	162	130	32	41	12	23	0	2	2	0	2	135	170	-35	87	297	525	822	2	3	0	118	93	82	3313	0	1063	1110	1092	3407	946	561	2060	233	53	22.75%	243	47	80.66%	5	1530	3147	48.62%	1559	3387	46.03%	668	1397	47.82%	1841	1285	2101	597	1021	492
23	82	31	33	0	5	6	5	2	284	293	-9	41	16	15	0	1	3	4	2	146	142	4	41	15	18	0	4	3	1	0	138	151	-13	90	284	485	769	3	2	88	106	80	14	2855	921	928	968	61	3192	907	564	2110	236	53	22.46%	264	52	80.30%	1	1472	2927	50.29%	1559	3243	48.07%	695	1363	50.99%	1915	1330	2025	589	1037	511
2022	82	46	27	0	7	2	0	0	341	283	58	41	22	15	0	3	1	0	0	183	149	34	41	24	12	0	4	1	0	0	158	134	24	108	341	616	957	2	2	142	102	90	7	3196	1021	1034	1125	16	2797	842	515	1851	245	58	23.67%	187	47	74.87%	1	1707	3097	55.12%	1555	2878	54.03%	794	1436	55.29%	2023	1436	1875	569	1033	521
2023	82	27	44	0	3	4	3	1	297	322	-25	41	18	18	0	1	1	3	0	165	146	19	41	9	26	0	2	3	0	1	132	176	-44	71	297	541	838	6	1	121	80	90	7	2782	932	912	912	38	2984	934	645	1926	257	63	24.51%	258	60	76.74%	1	1483	2898	51.17%	1534	3063	50.08%	718	1419	50.60%	1905	1313	1996	598	1046	512
2024	24	9	14	0	1	0	0	0	82	90	-8	10	2	8	0	0	0	0	0	26	41	-15	14	7	6	0	1	0	0	0	56	49	7	20	82	147	229	1	0	28	28	25	1	720	226	237	253	4	843	268	179	581	73	17	23.29%	81	17	79.01%	4	385	783	49.17%	427	875	48.80%	215	411	52.31%	547	368	581	180	312	155
Total Regular Season	1934	924	676	0	85	80	88	81	6810	5997	813	965	481	318	0	40	41	45	40	3462	2908	554	969	443	358	0	45	39	43	41	3348	3089	259	2355	6810	11675	18485	38	85	379	1989	2485	1813	69887	3100	22943	24250	19146	64224	20478	17494	49306	5478	1277	23.31%	5095	1073	78.94%	103	28220	55089	51.23%	26649	53747	49.58%	15577	30803	50.57%	42954	25933	45906	19405	32911	16354
Playoff
6	6	2	4	0	0	0	0	0	22	26	-4	3	1	2	0	0	0	0	0	11	13	-2	3	1	2	0	0	0	0	0	11	13	-2	4	22	36	58	0	0	0	8	5	9	224	0	70	67	85	251	85	52	175	6	1	16.67%	18	3	83.33%	1	75	156	48.08%	83	171	48.54%	61	113	53.98%	125	67	3684	2014	113	55
7	10	4	6	0	0	0	0	0	44	49	-5	5	2	3	0	0	0	0	0	20	25	-5	5	2	3	0	0	0	0	0	24	24	0	8	44	69	113	0	0	0	12	15	16	418	0	140	147	121	359	131	182	279	20	9	45.00%	39	12	69.23%	1	140	261	53.64%	113	233	48.50%	94	201	46.77%	215	121	212	99	190	89
7	6	2	4	0	0	0	0	0	19	19	0	3	1	2	0	0	0	0	0	9	8	1	3	1	2	0	0	0	0	0	10	11	-1	4	19	29	48	0	0	0	4	7	8	194	0	54	65	75	227	84	18	157	5	2	40.00%	10	3	70.00%	1	74	129	57.36%	56	127	44.09%	50	83	60.24%	116	60	124	55	118	59
8	6	2	4	0	0	0	0	0	14	20	-6	3	2	1	0	0	0	0	0	11	11	0	3	0	3	0	0	0	0	0	3	9	-6	4	14	24	38	0	0	0	4	3	6	242	0	87	62	88	215	80	81	164	15	3	20.00%	25	3	88.00%	0	87	169	51.48%	75	163	46.01%	46	95	48.42%	130	72	126	58	110	55
9	7	3	4	0	0	0	0	0	28	31	-3	4	1	3	0	0	0	0	0	12	19	-7	3	2	1	0	0	0	0	0	16	12	4	6	28	48	76	0	0	0	13	7	8	293	0	105	103	85	301	84	101	164	12	1	8.33%	12	6	50.00%	1	92	173	53.18%	84	185	45.41%	59	131	45.04%	147	86	149	63	123	60
10	11	7	4	0	0	0	0	0	36	30	6	5	4	1	0	0	0	0	0	19	12	7	6	3	3	0	0	0	0	0	17	18	-1	14	36	62	98	0	0	0	7	18	11	461	0	138	208	115	445	125	61	275	13	4	30.77%	17	5	70.59%	0	130	300	43.33%	162	288	56.25%	86	178	48.31%	222	124	236	102	201	98
11	23	16	7	0	0	0	0	0	83	64	19	12	9	3	0	0	0	0	0	45	32	13	11	7	4	0	0	0	0	0	38	32	6	32	83	140	223	1	0	0	19	25	36	926	0	327	312	276	960	321	230	588	66	19	28.79%	45	10	77.78%	1	261	581	44.92%	316	637	49.61%	168	350	48.00%	479	265	502	214	415	209
12	12	6	6	0	0	0	0	0	42	35	7	6	4	2	0	0	0	0	0	24	15	9	6	2	4	0	0	0	0	0	18	20	-2	12	42	69	111	0	0	0	14	18	9	557	0	194	197	141	471	162	165	311	41	9	21.95%	25	7	72.00%	0	190	371	51.21%	153	310	49.35%	94	191	49.21%	284	167	242	111	225	116
13	22	16	6	0	0	0	0	0	83	74	9	11	10	1	0	0	0	0	0	45	33	12	11	6	5	0	0	0	0	0	38	41	-3	32	83	145	228	0	0	0	27	27	25	815	0	257	279	240	937	326	259	593	56	15	26.79%	81	15	81.48%	3	244	511	47.75%	300	603	49.75%	170	357	47.62%	453	237	494	219	425	211
14	11	6	5	0	0	0	0	0	41	37	4	6	3	3	0	0	0	0	0	21	20	1	5	3	2	0	0	0	0	0	20	17	3	12	41	70	111	1	0	0	10	13	17	464	0	185	142	133	463	131	116	302	31	12	38.71%	39	8	79.49%	1	127	293	43.34%	153	303	50.50%	80	172	46.51%	242	137	225	102	199	98
15	6	2	4	0	0	0	0	0	20	23	-3	3	0	3	0	0	0	0	0	8	14	-6	3	2	1	0	0	0	0	0	12	9	3	4	20	34	54	0	0	0	3	7	9	280	0	81	108	81	194	58	18	189	15	2	13.33%	9	3	66.67%	0	91	182	50.00%	55	120	45.83%	45	99	45.45%	139	80	115	55	115	56
16	10	6	4	0	0	0	0	0	26	18	8	5	4	1	0	0	0	0	0	12	5	7	5	2	3	0	0	0	0	0	14	13	1	12	26	49	75	0	3	0	16	6	3	311	0	92	105	89	228	69	66	214	31	7	22.58%	31	4	87.10%	0	185	331	55.89%	175	293	59.73%	81	152	53.29%	265	186	232	77	138	70
17	9	4	5	0	0	0	0	0	34	27	7	5	3	2	0	0	0	0	0	23	12	11	4	1	3	0	0	0	0	0	11	15	-4	8	34	64	98	0	1	0	6	17	10	316	0	93	102	88	334	98	99	228	35	7	20.00%	39	9	76.92%	1	159	340	46.76%	198	378	52.38%	82	157	52.23%	238	163	244	74	128	65
18	24	14	10	0	0	0	0	0	59	51	8	13	7	6	0	0	0	0	0	29	27	2	11	7	4	0	0	0	0	0	30	24	6	28	59	107	166	0	6	0	21	19	19	710	0	219	223	267	680	194	164	434	68	10	14.71%	72	9	87.50%	2	456	809	56.37%	434	773	56.14%	187	337	55.49%	579	403	566	172	300	150
2022	14	7	7	0	0	0	0	0	50	50	0	7	4	3	0	0	0	0	0	29	25	4	7	3	4	0	0	0	0	0	21	25	-4	14	50	83	133	0	1	17	12	19	2	507	152	141	186	28	544	163	99	313	37	7	18.92%	39	10	74.36%	0	253	513	49.32%	302	580	52.07%	115	238	48.32%	348	243	362	108	190	91
Total Playoff	177	97	80	0	0	0	0	0	601	554	47	91	55	36	0	0	0	0	0	318	271	47	86	42	44	0	0	0	0	0	283	283	0	194	601	1029	1630	2	11	17	176	206	188	6718	152	2183	2306	1912	6609	2111	1711	4386	451	108	23.95%	501	107	78.64%	12	2564	5119	50.09%	2659	5164	51.49%	1418	2854	49.68%	3989	2418	7520	3530	2996	1489