LHS - Ligue de Hockey Simule

Predators
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	Raphael Lavoie (R)	0	X				100.00	78	42	74	61	89	88	85	62	66	58	63	65	62	64	66	0	75	64	0
2	Joakim Kemell (R)	0			X		100.00	60	37	89	65	69	88	74	63	66	64	62	60	65	61	62	0	75	63	0
3	Jonah Gadjovich (R)	0		X			100.00	79	77	53	60	82	72	74	61	53	59	62	58	60	66	68	0	75	62	0
4	Joe Carroll	0		X			100.00	72	41	74	58	81	75	72	59	60	57	61	56	62	64	65	0	75	61	0
5	Colin Theisen	0		X			100.00	63	37	93	61	72	80	71	59	63	60	58	57	61	67	69	0	75	61	0
6	Patrick Giles (R)	0			X		100.00	78	40	87	56	87	77	86	54	52	55	57	58	56	64	66	0	75	61	0
7	Bradley Marek	0		X			100.00	77	39	95	56	86	73	64	54	51	53	58	60	55	64	66	0	75	60	0
8	Lucas Edmonds (R)	0			X		100.00	60	36	95	59	69	70	77	57	55	56	59	58	56	63	65	0	75	60	0
9	Jacob Gaucher	0	X				100.00	71	39	90	58	80	75	70	57	60	55	56	59	54	63	65	0	75	60	0
10	Jake Gaudet	0	X				100.00	72	43	71	57	81	74	72	56	60	54	55	58	56	68	70	0	75	60	0
11	Greg Meireles	0			X		100.00	57	36	90	58	66	70	80	57	54	56	55	53	58	65	67	0	75	59	0
12	Matthew Seminoff (R)	0			X		100.00	61	37	94	57	70	71	72	56	52	55	53	54	56	61	63	0	75	58	0
13	Robert Hagg	0				X	100.00	84	40	76	62	82	81	76	61	30	66	60	67	52	71	72	0	75	65	0
14	Brandt Clarke (R)	0				X	100.00	68	40	74	67	80	83	74	66	30	68	60	62	53	63	64	0	75	64	0
15	Tristan Luneau (R)	0				X	100.00	67	37	85	66	76	86	61	64	30	65	63	60	57	61	62	0	75	63	0
16	Mac Hollowell (R)	0				X	100.00	63	39	74	64	63	80	76	62	30	67	56	57	49	66	68	0	75	62	0
17	Artem Guryev	0				X	100.00	72	56	51	54	91	67	65	55	30	52	53	58	45	61	63	0	75	58	0
18	Tyrel Bauer (R)	0				X	100.00	76	46	60	53	85	64	79	52	30	54	53	56	45	62	64	0	75	58	0
Scratches
1	Chris Wagner	0	X	X	X		100.00	78	40	71	64	73	80	78	62	61	59	63	65	58	75	76	0	75	64	0
2	Parker Wotherspoon (R)	0				X	80.06	69	54	74	65	76	85	78	63	30	66	58	70	50	67	69	0	75	64	0
3	Jacob Murray	0				X	100.00	74	40	87	53	83	60	62	52	30	51	50	55	45	62	64	0	75	57	0

	TEAM AVERAGE					99.05	70	43	79	60	78	76	74	59	47	59	58	59	55	65	66	0	75	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
1	Henrik Tikkanen	100.00	74	73	69	98	73	72	74	73	72	74	73	64	71	0	75	65	0
2	Mitchell Gibson (R)	100.00	74	70	66	75	73	72	74	73	72	74	73	65	73	0	75	64	0
Scratches

	TEAM AVERAGE	100.00	74	72	68	87	73	72	74	73	72	74	73	65	72	0	75	65

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Geoff Ward	71	75	70	72	90	84	56	CAN	62	1	1,500,000$

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	PKS	PKM	GW	GT	FO%	FOT	EG	P/20	FT	S1	S2	S3
1	Raphael Lavoie	Admirals (NSH)	C	23	10	9	19	7	24	0	57	85	81	25	55	12.35%	13	548	23.83	4	1	5	14	49	1	61	1	0	50.82%	734	0	0.69	0	3	0	1
2	Jonah Gadjovich	Admirals (NSH)	LW	23	4	11	15	-7	14	0	78	24	78	19	54	5.13%	6	431	18.74	0	3	3	9	46	0	18	2	1	25.00%	28	0	0.70	0	1	1	2
3	Chris Wagner	Admirals (NSH)	C/LW/RW	18	7	8	15	1	16	0	39	28	58	14	49	12.07%	4	380	21.13	1	3	4	7	38	1	54	3	0	37.14%	35	0	0.79	0	1	2	0
4	Mac Hollowell	Admirals (NSH)	D	23	1	14	15	1	6	0	35	25	37	7	21	2.70%	33	485	21.10	0	6	6	12	47	2	60	0	0	0.00%	0	0	0.62	0	1	0	1
5	Tristan Luneau	Admirals (NSH)	D	23	2	13	15	-3	14	0	36	31	34	12	23	5.88%	31	553	24.08	1	2	3	14	49	1	63	0	0	0.00%	0	0	0.54	0	0	1	0
6	Colin Theisen	Admirals (NSH)	LW	23	7	7	14	8	0	0	16	24	54	22	29	12.96%	4	355	15.45	0	0	0	0	8	1	16	1	0	47.06%	51	0	0.79	0	0	1	2
7	Jake Gaudet	Admirals (NSH)	C	23	2	12	14	8	17	5	37	42	36	16	26	5.56%	3	327	14.23	0	0	0	1	4	0	1	0	0	43.21%	405	0	0.86	1	0	1	0
8	Reese Johnson	Predators	RW	11	7	6	13	2	2	0	25	20	45	11	22	15.56%	4	208	18.97	1	2	3	9	24	1	16	1	0	50.00%	16	0	1.25	0	3	1	1
9	Brandt Clarke	Admirals (NSH)	D	17	3	8	11	-1	8	0	25	22	17	4	13	17.65%	20	308	18.13	0	0	0	6	13	0	32	0	0	0.00%	0	0	0.71	0	3	0	0
10	Lucas Edmonds	Admirals (NSH)	RW	23	7	3	10	3	2	0	8	14	34	6	21	20.59%	6	245	10.68	0	1	1	0	2	0	0	0	0	52.38%	21	0	0.81	0	0	1	0
11	Jacob Gaucher	Admirals (NSH)	C	22	2	8	10	0	0	0	14	45	46	13	30	4.35%	5	349	15.91	0	0	0	4	33	0	14	0	0	49.87%	393	0	0.57	0	0	0	0
12	Parker Wotherspoon	Admirals (NSH)	D	14	2	8	10	4	12	0	46	24	20	7	19	10.00%	22	334	23.92	1	2	3	11	31	0	36	1	0	0.00%	0	0	0.60	0	0	2	1
13	Patrick Giles	Admirals (NSH)	RW	23	6	4	10	-5	8	0	21	22	54	12	30	11.11%	1	397	17.30	1	0	1	6	36	0	14	1	0	39.47%	38	1	0.50	0	0	0	2
14	Joakim Kemell	Admirals (NSH)	RW	18	5	4	9	-1	0	0	2	43	44	10	35	11.36%	2	307	17.10	1	3	4	2	26	1	23	1	0	45.16%	155	0	0.58	0	0	1	1
15	Joe Carroll	Admirals (NSH)	LW	23	2	6	8	-5	8	0	28	17	36	9	42	5.56%	3	351	15.30	0	1	1	2	23	2	20	0	1	40.35%	57	0	0.45	0	0	0	1
16	Tyrel Bauer	Admirals (NSH)	D	18	1	5	6	0	21	5	44	14	19	5	6	5.26%	24	316	17.56	1	1	2	7	26	0	27	0	0	0.00%	0	0	0.38	1	0	0	0
17	Robert Hagg	Admirals (NSH)	D	13	2	4	6	-10	18	0	43	20	18	5	15	11.11%	15	275	21.22	2	0	2	10	25	0	28	0	0	0.00%	0	0	0.44	0	0	0	0
18	Artem Guryev	Admirals (NSH)	D	19	4	1	5	2	14	0	56	12	15	3	9	26.67%	17	296	15.60	0	0	0	1	2	0	4	0	0	0.00%	0	0	0.34	0	0	1	0
19	Jacob Murray	Admirals (NSH)	D	14	0	3	3	6	2	0	2	1	3	2	6	0.00%	11	148	10.61	0	0	0	0	1	0	10	0	0	0.00%	0	0	0.40	0	0	0	0
20	Bradley Marek	Admirals (NSH)	LW	23	1	0	1	-5	2	0	4	4	6	1	4	16.67%	1	78	3.42	1	0	1	1	7	0	13	0	1	35.29%	34	0	0.25	0	0	0	0
21	Matthew Seminoff	Admirals (NSH)	RW	18	0	1	1	-2	0	0	2	5	4	1	5	0.00%	1	52	2.90	0	0	0	0	0	0	5	0	0	33.33%	6	0	0.38	0	0	0	0
22	Greg Meireles	Admirals (NSH)	RW	13	0	0	0	0	0	0	0	0	0	1	0	0.00%	0	10	0.84	0	0	0	0	0	0	0	0	0	0.00%	1	0	0.00	0	0	0	0
Team Total or Average				425	75	135	210	3	188	10	618	522	739	205	514	10.15%	226	6764	15.92	14	25	39	116	499	10	525	11	3	47.06%	1974	1	0.62	2	12	12	12

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	GA	SA	A	EG	ST	BG	S1	S2	S3
1	Henrik Tikkanen	Admirals (NSH)	12	7	2	0	0.917	2.78	626	29	348	2	0	9	14	1	1	0
2	Mitchell Gibson	Admirals (NSH)	15	4	8	2	0.896	3.66	755	46	444	1	2	14	9	1	1	1
Team Total or Average			27	11	10	2	0.905	3.26	1381	75	792	3	2	23	23	2	2	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
Artem Guryev	D	21	2003-05-17	No	225 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link
Bradley Marek	LW	23	2000-11-13	No	212 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link
Brandt Clarke	D	21	2003-02-09	Yes	200 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Chris Wagner (1 Way Contract)	C/LW/RW	33	1991-05-27	No	192 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	1,154,000$	1,154,000$	830,173$	No	Link / NHL Link
Colin Theisen	LW	27	1997-04-24	No	187 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Greg Meireles	RW	25	1999-01-01	No	180 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	875,000$	0$	0$	No	Link / NHL Link
Henrik Tikkanen	G	24	2000-09-28	No	222 Lbs	6 ft8	No	No	No	3	RFA	Pro & Farm	985,000$	0$	0$	No	Link
Jacob Gaucher	C	23	2001-03-09	No	185 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link
Jacob Murray	D	22	2002-04-11	No	199 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	985,000$	0$	0$	No	Link
Jake Gaudet	C	28	1996-06-18	No	201 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	875,000$	0$	0$	No	Link / NHL Link
Joakim Kemell	RW	20	2004-04-27	Yes	182 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Joe Carroll	LW	23	2001-02-01	No	203 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link
Jonah Gadjovich	LW	25	1998-10-12	Yes	209 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Lucas Edmonds	RW	23	2001-01-27	Yes	185 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Mac Hollowell	D	26	1998-09-26	Yes	170 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Matthew Seminoff	RW	20	2003-12-27	Yes	188 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Mitchell Gibson	G	25	1999-06-25	Yes	188 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Parker Wotherspoon (Out of Payroll)	D	27	1997-08-24	Yes	195 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	Yes	Link / NHL Link
Patrick Giles	RW	24	2000-01-03	Yes	203 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Raphael Lavoie	C	24	2000-09-25	Yes	215 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Robert Hagg (1 Way Contract)	D	29	1995-02-08	No	210 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	2,955,000$	2,955,000$	2,125,791$	No	Link / NHL Link
Tristan Luneau	D	20	2004-01-12	Yes	195 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Tyrel Bauer	D	22	2002-03-23	Yes	206 Lbs	6 ft3	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
23	24.13	198 Lbs	6 ft2	2.17	1,030,609$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jonah Gadjovich	Raphael Lavoie	Joakim Kemell	40	1	2	2
2	Joe Carroll	Jake Gaudet	Patrick Giles	30	1	2	2
3	Colin Theisen	Jacob Gaucher	Lucas Edmonds	20	1	2	2
4	Bradley Marek	Raphael Lavoie	Greg Meireles	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Hagg	Brandt Clarke	40	1	2	2
2	Tristan Luneau	Mac Hollowell	30	1	2	2
3	Artem Guryev	Tyrel Bauer	20	1	2	2
4	Robert Hagg	Brandt Clarke	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jonah Gadjovich	Raphael Lavoie	Joakim Kemell	60	1	2	2
2	Joe Carroll	Jake Gaudet	Patrick Giles	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Hagg	Brandt Clarke	60	1	2	2
2	Tristan Luneau	Mac Hollowell	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Raphael Lavoie	Joakim Kemell	60	1	2	2
2	Jonah Gadjovich	Joe Carroll	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Hagg	Brandt Clarke	60	1	2	2
2	Tristan Luneau	Mac Hollowell	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Raphael Lavoie	60	1	2	2	Robert Hagg	Brandt Clarke	60	1	2	2
2	Joakim Kemell	40	1	2	2	Tristan Luneau	Mac Hollowell	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Raphael Lavoie	Joakim Kemell	60	1	2	2
2	Jonah Gadjovich	Joe Carroll	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Hagg	Brandt Clarke	60	1	2	2
2	Tristan Luneau	Mac Hollowell	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jonah Gadjovich	Raphael Lavoie	Joakim Kemell	Robert Hagg	Brandt Clarke

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jonah Gadjovich	Raphael Lavoie	Joakim Kemell	Robert Hagg	Brandt Clarke

Extra Forwards
Normal	PowerPlay	Penalty Kill
Matthew Seminoff, Colin Theisen, Jacob Gaucher	Matthew Seminoff, Colin Theisen	Jacob Gaucher

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Artem Guryev, Tyrel Bauer, Tristan Luneau	Artem Guryev	Tyrel Bauer, Tristan Luneau

Penalty Shots
Raphael Lavoie, Joakim Kemell, Jonah Gadjovich, Joe Carroll, Patrick Giles

Goalie
#1 : Henrik Tikkanen, #2 : Mitchell Gibson

Custom OT Lines Forwards
Raphael Lavoie, Joakim Kemell, Jonah Gadjovich, Joe Carroll, Patrick Giles, Colin Theisen, Colin Theisen, Jake Gaudet, Jacob Gaucher, Lucas Edmonds, Bradley Marek

Custom OT Lines Defensemen
Robert Hagg, Brandt Clarke, Tristan Luneau, Mac Hollowell, Artem Guryev

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
23	24	W2	75	135	210	739	794	226	188	618	2	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	11	10	0	2	0	0	75	77

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	7	4	0	1	0	0	39	37

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	4	6	0	1	0	0	36	40

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	6	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
60	14	23.33%	83	16	80.72%	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
227	269	242	1	27	29	19	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
368	769	47.85%	395	828	47.71%	166	375	44.27%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
528	360	558	169	297	146

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
7 - 2024-10-10	17	Stars	2	Admirals	3	W		BoxScore
9 - 2024-10-12	28	Admirals	5	Griffins	6	L		BoxScore
12 - 2024-10-15	53	Firebirds	2	Admirals	4	W		BoxScore
14 - 2024-10-17	69	Condors	2	Admirals	5	W		BoxScore
16 - 2024-10-19	76	Griffins	1	Admirals	5	W		BoxScore
19 - 2024-10-22	101	Bruins	4	Admirals	6	W		BoxScore
22 - 2024-10-25	120	Admirals	5	IceHogs	1	W		BoxScore
23 - 2024-10-26	131	Monsters	5	Admirals	4	L	X	BoxScore
25 - 2024-10-28	141	Admirals	3	Crunch	1	W		BoxScore
28 - 2024-10-31	166	Condors	2	Admirals	4	W		BoxScore
30 - 2024-11-02	182	Eagles	5	Admirals	1	L		BoxScore
32 - 2024-11-04	192	Reign	2	Admirals	0	L		BoxScore
34 - 2024-11-06	205	Admirals	3	Bears	5	L		BoxScore
35 - 2024-11-07	211	Admirals	2	Checkers	1	W		BoxScore
37 - 2024-11-09	232	Roadrunners	4	Admirals	3	L		BoxScore
39 - 2024-11-11	243	Admirals	2	Eagles	4	L		BoxScore
42 - 2024-11-14	264	Admirals	1	Condors	5	L		BoxScore
43 - 2024-11-15	269	Admirals	3	Wranglers	4	L	X	BoxScore
45 - 2024-11-17	285	Admirals	4	Comets	6	L		BoxScore
48 - 2024-11-20	304	Admirals	2	Firebirds	4	L		BoxScore
51 - 2024-11-23	329	Moose	7	Admirals	2	L		BoxScore
53 - 2024-11-25	336	Admirals	6	Devils	3	W		BoxScore
55 - 2024-11-27	356	Phantoms	1	Admirals	2	W		BoxScore
57 - 2024-11-29	369	Crunch	-	Admirals	-
58 - 2024-11-30	384	Admirals	-	Wild	-
62 - 2024-12-04	406	Admirals	-	Marlies	-
63 - 2024-12-05	411	Admirals	-	Rocket	-
65 - 2024-12-07	431	Admirals	-	Senators	-
68 - 2024-12-10	451	Wranglers	-	Admirals	-
70 - 2024-12-12	466	Admirals	-	Stars	-
72 - 2024-12-14	484	Admirals	-	Eagles	-
75 - 2024-12-17	502	Wolf Pack	-	Admirals	-
77 - 2024-12-19	515	Penguins	-	Admirals	-
79 - 2024-12-21	528	Reign	-	Admirals	-
81 - 2024-12-23	553	Wolves	-	Admirals	-
85 - 2024-12-27	562	Admirals	-	Thunderbirds	-
88 - 2024-12-30	587	Admirals	-	Moose	-
89 - 2024-12-31	596	Admirals	-	Wild	-
92 - 2025-01-03	619	Admirals	-	Comets	-
93 - 2025-01-04	627	Admirals	-	Wranglers	-
96 - 2025-01-07	647	Admirals	-	Moose	-
100 - 2025-01-11	679	Bears	-	Admirals	-
103 - 2025-01-14	701	Silver Knights	-	Admirals	-
105 - 2025-01-16	714	IceHogs	-	Admirals	-
107 - 2025-01-18	733	Wild	-	Admirals	-
110 - 2025-01-21	752	Barracuda	-	Admirals	-
112 - 2025-01-23	771	Admirals	-	Barracuda	-
114 - 2025-01-25	787	Admirals	-	Gulls	-
118 - 2025-01-29	810	Comets	-	Admirals	-
120 - 2025-01-31	822	Admirals	-	Americans	-
121 - 2025-02-01	830	Admirals	-	Penguins	-
123 - 2025-02-03	844	Senators	-	Admirals	-
127 - 2025-02-07	873	Admirals	-	IceHogs	-
128 - 2025-02-08	885	Americans	-	Admirals	-
142 - 2025-02-22	898	Eagles	-	Admirals	-
143 - 2025-02-23	911	Devils	-	Admirals	-
145 - 2025-02-25	927	Checkers	-	Admirals	-
147 - 2025-02-27	941	Moose	-	Admirals	-
149 - 2025-03-01	949	Admirals	-	Sound Tigers	-
150 - 2025-03-02	965	Admirals	-	Wolf Pack	-
152 - 2025-03-04	973	Admirals	-	Bruins	-
154 - 2025-03-06	993	Firebirds	-	Admirals	-
156 - 2025-03-08	1009	IceHogs	-	Admirals	-
159 - 2025-03-11	1035	Admirals	-	Barracuda	-
162 - 2025-03-14	1053	Admirals	-	Gulls	-
163 - 2025-03-15	1064	Admirals	-	Reign	-
166 - 2025-03-18	1082	Thunderbirds	-	Admirals	-
168 - 2025-03-20	1096	Gulls	-	Admirals	-
170 - 2025-03-22	1114	Marlies	-	Admirals	-
171 - 2025-03-23	1121	Admirals	-	Thunderbirds	-
173 - 2025-03-25	1132	Admirals	-	Wolves	-
175 - 2025-03-27	1147	Thunderbirds	-	Admirals	-
Trade Deadline --- Trades can’t be done after this day is simulated!
177 - 2025-03-29	1163	Silver Knights	-	Admirals	-
179 - 2025-03-31	1179	Admirals	-	Phantoms	-
180 - 2025-04-01	1185	Admirals	-	Monsters	-
182 - 2025-04-03	1201	Admirals	-	Stars	-
185 - 2025-04-06	1228	Rocket	-	Admirals	-
187 - 2025-04-08	1241	Sound Tigers	-	Admirals	-
189 - 2025-04-10	1257	Admirals	-	Roadrunners	-
191 - 2025-04-12	1274	Admirals	-	Silver Knights	-
193 - 2025-04-14	1288	Roadrunners	-	Admirals	-
195 - 2025-04-16	1304	Stars	-	Admirals	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	30	20
Attendance	23,815	10,081
Attendance PCT	99.23%	84.01%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
-2	2825 - 94.16%	93,596$	1,123,157$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
966,225$	1,864,500$	1,864,500$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	542,322$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
-187,193$	141	17,166$	2,420,406$

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	22	38	0	8	3	4	5	167	211	-44	40	10	17	0	6	1	3	3	85	93	-8	40	12	21	0	2	2	1	2	82	118	-36	76	167	281	448	0	13	0	53	53	49	1800	0	526	612	620	2475	951	1238	1689	189	35	18.52%	229	44	80.79%	4	575	1241	46.33%	707	1596	44.30%	505	1070	47.20%	1421	573	1864	1009	1863	936
5	80	29	42	0	0	2	4	3	239	260	-21	40	14	25	0	0	1	0	0	113	133	-20	40	15	17	0	0	1	4	3	126	127	-1	71	239	392	631	0	5	0	69	72	94	2223	0	602	766	843	2749	1039	1080	1776	195	44	22.56%	207	53	74.40%	7	672	1421	47.29%	777	1677	46.33%	619	1233	50.20%	1416	610	1925	1007	1794	873
6	80	30	31	0	3	3	6	7	238	250	-12	40	12	18	0	0	1	4	5	115	126	-11	40	18	13	0	3	2	2	2	123	124	-1	88	238	378	616	0	6	0	57	88	84	2031	0	584	692	726	2277	667	1000	1706	196	46	23.47%	189	48	74.60%	10	711	1459	48.73%	807	1597	50.53%	605	1193	50.71%	1467	624	3688	2011	1853	933
6	80	33	35	0	4	6	2	0	269	295	-26	40	18	17	0	1	2	2	0	134	141	-7	40	15	18	0	3	4	0	0	135	154	-19	84	269	437	706	2	2	0	73	97	93	2644	0	732	1038	854	2627	869	944	1922	210	56	26.67%	192	43	77.60%	6	807	1713	47.11%	769	1650	46.61%	623	1323	47.09%	1471	716	3898	1993	1672	794
7	76	29	37	0	2	1	3	4	224	233	-9	38	15	19	0	1	0	1	2	118	123	-5	38	14	18	0	1	1	2	2	106	110	-4	73	224	366	590	0	4	0	66	78	75	2119	0	618	725	760	2152	680	854	1971	188	47	25.00%	176	58	67.05%	10	727	1398	52.00%	698	1410	49.50%	599	1126	53.20%	1476	677	1416	775	1705	864
7	76	26	35	0	5	4	2	4	186	255	-69	38	12	16	0	3	2	1	4	103	135	-32	38	14	19	0	2	2	1	0	83	120	-37	74	186	297	483	0	3	0	36	76	67	1979	0	527	748	687	2553	853	749	1754	163	36	22.09%	194	32	83.51%	7	617	1380	44.71%	672	1616	41.58%	497	1151	43.18%	1311	574	1656	818	1630	773
8	76	21	38	0	4	1	7	5	194	249	-55	38	13	18	0	3	0	3	1	98	114	-16	38	8	20	0	1	1	4	4	96	135	-39	70	194	303	497	4	4	0	39	62	82	1916	0	476	661	755	2260	780	811	1869	191	45	23.56%	213	59	72.30%	5	663	1368	48.46%	765	1557	49.13%	465	957	48.59%	1393	585	1511	807	1719	872
8	76	28	29	0	3	5	6	5	279	256	23	38	17	14	0	2	2	3	0	145	124	21	38	11	15	0	1	3	3	5	134	132	2	84	279	444	723	3	1	0	56	108	106	2452	0	736	888	806	2540	838	954	1882	192	43	22.40%	224	55	75.45%	6	763	1676	45.53%	775	1681	46.10%	501	1136	44.10%	1463	701	1576	779	1585	785
9	80	30	31	0	1	7	5	6	235	235	0	40	17	14	0	0	4	2	3	127	117	10	40	13	17	0	1	3	3	3	108	118	-10	85	235	378	613	2	7	0	55	90	84	1960	0	500	742	691	2318	764	774	2257	195	39	20.00%	207	52	74.88%	4	683	1448	47.17%	810	1739	46.58%	507	1053	48.15%	1479	624	1579	843	1805	909
9	80	26	34	0	5	4	7	4	254	281	-27	40	14	16	0	4	3	1	2	129	140	-11	40	12	18	0	1	1	6	2	125	141	-16	84	254	406	660	3	3	0	66	91	85	2690	0	830	924	911	2763	907	793	2461	156	32	20.51%	256	59	76.95%	3	832	1728	48.15%	863	1941	44.46%	500	1160	43.10%	1577	783	1668	814	1629	787
10	80	23	31	0	6	7	6	7	228	254	-26	40	12	15	0	2	4	3	4	116	132	-16	40	11	16	0	4	3	3	3	112	122	-10	84	228	368	596	3	4	0	45	81	90	2320	0	690	805	775	2540	835	1218	2046	161	44	27.33%	218	54	75.23%	2	828	1669	49.61%	831	1779	46.71%	582	1145	50.83%	1506	677	1606	844	1774	881
10	80	29	37	0	2	2	3	7	220	239	-19	40	16	17	0	0	1	3	3	116	119	-3	40	13	20	0	2	1	0	4	104	120	-16	77	220	350	570	2	5	0	45	92	78	2397	0	698	869	809	2686	864	651	2008	207	53	25.60%	204	55	73.04%	5	815	1683	48.43%	872	1857	46.96%	495	1070	46.26%	1502	689	1646	827	1707	855
11	80	27	35	0	3	7	4	4	215	227	-12	40	10	17	0	3	6	2	2	105	108	-3	40	17	18	0	0	1	2	2	110	119	-9	79	215	353	568	2	5	0	41	84	83	2309	0	708	831	730	2436	808	808	2355	162	44	27.16%	241	64	73.44%	6	777	1585	49.02%	829	1732	47.86%	482	1047	46.04%	1531	700	1583	844	1742	851
11	80	31	34	0	2	5	3	5	230	263	-33	40	15	14	0	2	3	2	4	136	138	-2	40	16	20	0	0	2	1	1	94	125	-31	82	230	373	603	3	1	0	55	94	76	2650	0	835	984	800	2728	945	841	2240	191	53	27.75%	292	69	76.37%	5	907	1800	50.39%	967	1931	50.08%	530	1138	46.57%	1545	739	1654	835	1647	792
12	76	31	31	0	1	3	4	6	249	252	-3	38	17	16	0	1	1	2	1	127	125	2	38	14	15	0	0	2	2	5	122	127	-5	81	249	409	658	3	4	0	52	95	97	2830	0	912	1023	881	2609	835	959	2329	181	54	29.83%	278	75	73.02%	8	899	1847	48.67%	884	1810	48.84%	564	1130	49.91%	1570	816	1525	766	1516	724
13	80	33	26	0	6	5	8	2	265	236	29	40	10	14	0	5	4	6	1	119	120	-1	40	23	12	0	1	1	2	1	146	116	30	101	265	421	686	1	4	0	82	96	73	3109	0	1047	1045	982	2595	894	432	2112	209	39	18.66%	121	28	76.86%	4	1054	2044	51.57%	881	1709	51.55%	599	1196	50.08%	1684	888	1564	793	1615	798
14	80	43	23	0	4	3	4	3	309	257	52	40	20	14	0	2	2	1	1	138	124	14	40	23	9	0	2	1	3	2	171	133	38	108	309	518	827	4	4	0	78	118	105	3020	0	971	1038	989	2814	946	907	2181	196	55	28.06%	282	69	75.53%	10	946	1882	50.27%	1003	1997	50.23%	631	1221	51.68%	1618	840	1641	808	1584	757
15	80	29	33	0	8	2	4	4	246	255	-9	40	20	11	0	4	0	2	3	139	111	28	40	9	22	0	4	2	2	1	107	144	-37	88	246	394	640	4	1	0	74	81	79	2577	0	852	898	790	2760	916	555	1945	190	61	32.11%	226	65	71.24%	4	882	1667	52.91%	963	1903	50.60%	593	1110	53.42%	1548	734	1612	806	1703	864
16	76	33	33	0	1	2	3	4	219	222	-3	38	20	14	0	1	1	0	2	113	99	14	38	13	19	0	0	1	3	2	106	123	-17	80	219	389	608	4	5	0	79	67	69	2183	0	666	747	752	2215	665	510	1575	215	47	21.86%	224	44	80.36%	3	1146	2359	48.58%	1196	2423	49.36%	580	1185	48.95%	1777	1205	1819	570	1005	497
17	80	19	47	0	3	3	4	4	206	267	-61	40	10	21	0	2	1	2	4	101	137	-36	40	9	26	0	1	2	2	0	105	130	-25	59	206	357	563	0	7	0	71	67	61	2352	0	753	794	782	2562	774	520	1553	226	40	17.70%	221	52	76.47%	5	1227	2478	49.52%	1311	2638	49.70%	645	1269	50.83%	1811	1232	1998	609	1046	506
18	76	19	47	0	3	0	1	6	194	278	-84	38	10	23	0	1	0	0	4	102	139	-37	38	9	24	0	2	0	1	2	92	139	-47	52	194	351	545	2	0	0	70	62	58	1990	0	650	668	658	2413	745	464	1506	207	44	21.26%	182	42	76.92%	3	1045	2203	47.44%	1051	2389	43.99%	543	1215	44.69%	1692	1140	1902	576	1008	493
19	82	25	42	0	3	3	5	4	190	248	-58	41	17	19	0	1	1	1	2	103	122	-19	41	8	23	0	2	2	4	2	87	126	-39	73	190	339	529	1	5	0	72	55	55	1947	0	644	641	637	2774	862	721	1765	176	29	16.48%	316	57	81.96%	5	1039	2191	47.42%	1354	2918	46.40%	572	1219	46.92%	1726	1131	2163	643	1086	510
20	82	30	40	0	0	4	3	5	239	267	-28	41	13	21	0	0	2	2	3	121	139	-18	41	17	19	0	0	2	1	2	118	128	-10	75	239	423	662	3	2	0	81	79	76	2613	0	790	881	911	2737	785	732	1994	290	44	15.17%	307	73	76.22%	3	1353	2855	47.39%	1405	2951	47.61%	634	1253	50.60%	1916	1298	1989	628	1062	519
21	82	38	30	0	7	4	2	1	299	270	29	41	19	13	0	3	3	2	1	147	121	26	41	19	17	0	4	1	0	0	152	149	3	99	299	548	847	2	2	0	113	90	87	3063	0	1001	994	1033	2851	841	636	2042	221	51	23.08%	270	52	80.74%	3	1628	3073	52.98%	1536	2944	52.17%	719	1368	52.56%	1961	1367	1943	586	1046	522
22	82	29	36	0	6	4	5	2	305	321	-16	41	14	17	0	3	3	3	1	170	167	3	41	15	19	0	3	1	2	1	135	154	-19	86	305	546	851	3	0	0	105	101	88	2964	0	963	984	972	3065	882	776	2059	243	63	25.93%	320	79	75.31%	3	1692	3143	53.83%	1591	3006	52.93%	789	1455	54.23%	1964	1353	1950	598	1052	521
23	82	35	30	0	8	3	3	3	338	309	29	41	21	11	0	5	1	2	1	182	144	38	41	14	19	0	3	2	1	2	156	165	-9	98	338	613	951	1	2	133	105	89	13	3284	1059	1076	1105	66	2991	926	709	2127	243	66	27.16%	302	70	76.82%	3	1831	3281	55.81%	1659	3171	52.32%	772	1447	53.35%	2028	1431	1913	587	1028	516
2022	82	23	44	0	6	6	1	2	276	352	-76	41	16	16	0	4	3	1	1	156	150	6	41	7	28	0	2	3	0	1	120	202	-82	68	276	519	795	4	0	103	93	73	8	2901	1012	920	932	46	3362	968	617	1970	213	41	19.25%	277	68	75.45%	2	1464	2872	50.97%	1546	3134	49.33%	693	1433	48.36%	1903	1334	2036	584	1030	499
2023	82	29	38	0	7	5	2	1	294	311	-17	41	17	16	0	5	2	1	0	168	164	4	41	12	22	0	2	3	1	1	126	147	-21	82	294	533	827	0	1	103	104	78	9	3015	983	1009	996	37	2967	827	683	2150	266	65	24.44%	262	62	76.34%	1	1477	3086	47.86%	1508	3083	48.91%	689	1387	49.68%	1943	1341	1954	597	1059	531
2024	23	11	10	0	0	2	0	0	75	77	-2	12	7	4	0	0	1	0	0	39	37	2	11	4	6	0	0	1	0	0	36	40	-4	24	75	135	210	2	0	27	29	19	0	739	227	269	242	1	794	226	188	618	60	14	23.33%	83	16	80.72%	0	368	769	47.85%	395	828	47.71%	166	375	44.27%	528	360	558	169	297	146
Total Regular Season	2249	811	997	0	111	106	111	113	6882	7430	-548	1125	426	467	0	64	55	55	58	3565	3642	-77	1124	385	530	0	47	51	56	55	3317	3788	-471	2285	6882	11621	18503	58	100	366	1964	2336	2024	70077	3281	21585	24273	20304	74613	23892	22124	55862	5732	1330	23.20%	6713	1597	76.21%	137	28428	57319	49.60%	29425	60667	48.50%	16699	34065	49.02%	46239	25752	53851	23541	41277	20324
Playoff
6	4	0	4	0	0	0	0	0	10	18	-8	2	0	2	0	0	0	0	0	8	13	-5	2	0	2	0	0	0	0	0	2	5	-3	0	10	18	28	0	0	0	2	0	8	113	0	29	21	53	146	41	33	92	9	1	11.11%	11	2	81.82%	0	42	81	51.85%	38	78	48.72%	34	60	56.67%	74	30	3775	2054	91	47
9	10	5	5	0	0	0	0	0	26	28	-2	4	2	2	0	0	0	0	0	8	8	0	6	3	3	0	0	0	0	0	18	20	-2	10	26	40	66	0	0	0	8	8	9	267	0	69	88	81	402	127	57	289	23	3	13.04%	21	5	76.19%	0	91	180	50.56%	113	276	40.94%	58	140	41.43%	185	77	232	108	228	118
10	16	8	8	0	0	0	0	0	46	52	-6	7	1	6	0	0	0	0	0	17	26	-9	9	7	2	0	0	0	0	0	29	26	3	16	46	76	122	0	0	0	14	12	19	569	0	204	153	206	641	231	310	419	26	7	26.92%	38	12	68.42%	1	196	369	53.12%	215	432	49.77%	119	240	49.58%	312	162	343	151	306	153
13	4	0	4	0	0	0	0	0	6	21	-15	2	0	2	0	0	0	0	0	3	6	-3	2	0	2	0	0	0	0	0	3	15	-12	0	6	9	15	1	0	0	1	4	1	146	0	55	45	41	196	51	37	97	2	0	0.00%	7	1	85.71%	1	56	103	54.37%	53	102	51.96%	35	70	50.00%	82	46	93	37	74	37
14	11	4	7	0	0	0	0	0	30	32	-2	6	2	4	0	0	0	0	0	18	17	1	5	2	3	0	0	0	0	0	12	15	-3	8	30	48	78	0	1	0	9	11	9	385	0	127	108	147	354	120	90	342	13	3	23.08%	31	10	67.74%	1	145	263	55.13%	135	261	51.72%	79	139	56.83%	219	113	217	112	225	104
Total Playoff	45	17	28	0	0	0	0	0	118	151	-33	21	5	16	0	0	0	0	0	54	70	-16	24	12	12	0	0	0	0	0	64	81	-17	34	118	191	309	1	1	0	34	35	46	1480	0	484	415	528	1739	570	527	1239	73	14	19.18%	108	30	72.22%	3	530	996	53.21%	554	1149	48.22%	325	649	50.08%	874	431	4662	2464	927	461