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TORONTO Maple Leafs
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#	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	Tommy Wingels	0	X		X		100.00	84	44	73	69	71	78	92	65	58	64	65	66	70	68	61	39	79	71	0
2	Curtis Lazar	0	X		X		100.00	79	42	79	70	74	74	82	64	41	66	61	61	63	60	57	82	80	68	0
3	Jordan Szwarz	0			X		100.00	60	43	73	63	69	71	81	65	31	64	63	63	63	52	51	53	82	65	0
4	Brandon Mashinter	0		X			100.00	72	43	70	60	87	56	81	57	50	58	57	60	57	53	52	35	82	63	0
5	Jean-Sebastien Dea	0	X				100.00	53	46	63	60	62	63	92	62	30	62	60	60	61	50	50	43	82	62	0
6	Luke Johnson	0	X				100.00	60	45	64	60	69	65	90	57	67	56	57	60	57	50	50	43	82	62	0
7	Mark McNeill	0	X		X		100.00	64	43	69	60	80	59	66	58	67	56	61	60	61	50	50	80	82	61	0
8	Yannick Veilleux	0		X			100.00	64	47	60	60	78	55	69	52	50	52	52	60	52	50	50	59	82	58	0
9	Jiri Sekac	0		X			100.00	59	38	80	69	70	46	47	58	31	55	50	59	53	60	49	71	89	57	0
10	Lucas Lessio	0		X			100.00	57	37	74	67	75	45	45	57	31	51	54	61	59	58	47	79	86	56	0
11	Louis-Marc Aubry	0	X				100.00	54	41	66	64	84	50	45	54	43	50	51	51	52	64	61	55	88	56	0
12	Phil Lane (R)	0			X		100.00	55	40	65	65	81	48	40	52	30	46	49	50	51	60	43	71	78	53	0
13	Matt Bartkowski	0				X	100.00	71	40	83	63	72	74	35	66	30	57	57	63	62	60	55	39	82	61	0
14	Chris Butler	0				X	100.00	61	42	75	52	73	58	84	59	30	51	49	63	56	66	58	38	82	61	0
15	Jamie McBain	0				X	100.00	59	43	72	50	72	61	77	57	30	51	46	60	53	64	57	54	80	59	0
16	Zach Trotman	0				X	100.00	67	42	74	51	83	61	69	57	30	49	50	60	57	53	52	41	80	59	0
17	Philip Samuelsson	0				X	100.00	62	44	67	50	74	51	93	55	30	49	45	60	52	51	51	57	82	58	0
18	Julian Melchiori	0				X	100.00	62	41	76	50	86	51	66	55	30	49	46	60	53	51	51	54	98	57	0
Scratches
1	Sebastian Collberg (R)	0			X		100.00	46	35	80	70	67	45	40	52	30	49	46	50	51	56	51	87	77	53	0

	TEAM AVERAGE					100.00	63	42	72	61	75	58	68	58	39	54	54	59	57	57	52	57	83	60

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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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Reto Berra	100.00	74	69	82	88	75	77	75	75	75	73	71	56	65	47	80	67	0
2	Vitek Vanecek (R)	100.00	66	66	66	74	68	64	69	67	67	66	64	50	58	44	83	59	0
Scratches
1	Magnus Hellberg	100.00	54	54	69	89	65	57	61	61	60	59	58	64	56	55	55	56	0

	TEAM AVERAGE	100.00	65	63	72	84	69	66	68	68	67	66	64	57	60	49	73	61

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Todd Richards	73	72	72	72	84	84	66	USA	52	1	695,000$

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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	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	FT	S1	S2	S3
1	Jean-Sebastien Dea	TORONTO Marlies (TOR)	C	40	25	31	56	34	16	10	36	61	161	38	123	15.53%	22	740	18.51	1	4	5	12	67	0	0	0	1	88	0	1	50.25%	995	0	5	1.51	1	1	2	3	4
2	Matt Bartkowski	TORONTO Marlies (TOR)	D	40	10	43	53	18	38	0	97	47	107	18	65	9.35%	62	806	20.16	4	6	10	37	74	0	1	1	0	84	3	0	0.00%	0	0	0	1.31	0	0	3	4	2
3	Jordan Szwarz	TORONTO Marlies (TOR)	RW	40	23	30	53	34	12	0	36	44	186	61	146	12.37%	10	665	16.63	1	4	5	28	74	0	0	0	0	9	2	0	50.00%	44	0	1	1.59	0	0	3	3	1
4	Mark McNeill	TORONTO Marlies (TOR)	C/RW	40	23	23	46	25	16	0	59	90	220	65	150	10.45%	19	754	18.86	3	4	7	16	62	0	0	0	0	28	2	0	65.74%	397	0	1	1.22	0	0	2	2	3
5	Brandon Mashinter	TORONTO Marlies (TOR)	LW	40	18	26	44	37	32	0	101	35	132	44	89	13.64%	5	732	18.30	4	4	8	15	70	0	0	0	4	76	3	0	69.81%	53	1	0	1.20	0	0	1	1	6
6	Luke Johnson	TORONTO Marlies (TOR)	C	40	21	17	38	25	2	0	28	87	144	41	98	14.58%	10	571	14.30	2	4	6	18	69	1	0	1	6	95	1	2	67.71%	799	0	3	1.33	0	0	2	2	1
7	Chris Butler	TORONTO Marlies (TOR)	D	40	5	20	25	17	24	0	73	30	56	20	30	8.93%	46	705	17.65	1	3	4	17	62	0	0	0	1	71	0	0	0.00%	0	0	0	0.71	0	0	0	0	0
8	Yannick Veilleux	TORONTO Marlies (TOR)	LW	40	12	13	25	21	16	0	41	27	106	21	74	11.32%	6	517	12.95	1	4	5	10	65	0	1	1	4	80	1	1	58.14%	43	0	0	0.97	0	0	0	1	1
9	Philip Samuelsson	TORONTO Marlies (TOR)	D	40	3	16	19	22	19	5	60	24	39	16	26	7.69%	37	569	14.24	0	0	0	0	6	0	0	0	0	22	1	0	0.00%	0	0	0	0.67	0	1	0	0	0
10	Brett Connolly	TORONTO Maple Leafs	RW	14	3	13	16	14	10	0	7	17	64	16	47	4.69%	3	224	16.03	0	3	3	8	27	0	0	0	0	6	0	1	50.00%	12	0	0	1.43	0	0	2	0	1
11	Brian Gibbons	TORONTO Maple Leafs	C/LW	14	8	7	15	12	2	0	15	32	94	25	87	8.51%	3	348	24.86	0	1	1	7	34	0	0	0	1	59	1	0	54.01%	374	0	0	0.86	0	0	0	2	2
12	Zach Trotman	TORONTO Marlies (TOR)	D	36	4	11	15	19	33	5	70	28	45	10	33	8.89%	34	530	14.74	0	0	0	0	8	0	0	0	1	36	2	0	0.00%	1	0	0	0.57	0	1	0	1	0
13	Brendan Leipsic	TORONTO Maple Leafs	LW	9	5	7	12	13	2	0	3	6	42	11	17	11.90%	0	139	15.46	1	1	2	4	14	0	0	0	0	0	0	0	54.55%	11	0	0	1.72	0	0	1	0	0
14	Jamie McBain	TORONTO Marlies (TOR)	D	36	1	8	9	9	20	0	47	22	28	12	26	3.57%	37	632	17.57	1	2	3	9	60	0	0	0	1	67	0	0	0.00%	0	0	0	0.28	0	0	0	0	0
15	Lucas Lessio	TORONTO Marlies (TOR)	LW	10	4	4	8	3	2	0	10	16	41	16	31	9.76%	5	137	13.73	0	0	0	0	1	0	0	0	0	2	0	0	40.00%	5	0	0	1.17	0	0	0	0	1
16	Mark Jankowski	TORONTO Maple Leafs	C	3	4	4	8	7	0	0	1	4	14	4	13	28.57%	0	47	15.74	0	0	0	0	5	0	0	0	0	0	0	0	79.59%	49	0	1	3.39	0	0	1	1	0
17	Louis-Marc Aubry	TORONTO Marlies (TOR)	C	11	3	3	6	2	2	0	15	15	39	3	18	7.69%	2	147	13.42	1	0	1	1	1	0	0	0	0	1	1	0	57.23%	159	0	0	0.81	0	0	0	1	0
18	Phil Lane	TORONTO Marlies (TOR)	RW	10	1	5	6	2	4	0	8	8	23	4	10	4.35%	2	100	10.02	1	0	1	1	0	0	0	0	0	0	0	0	71.43%	7	0	0	1.20	0	0	0	0	0
19	Julian Melchiori	TORONTO Marlies (TOR)	D	3	2	2	4	3	0	0	0	1	5	1	0	40.00%	1	38	12.77	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	2.09	0	0	0	0	0
20	Sebastian Collberg	TORONTO Marlies (TOR)	RW	1	2	1	3	2	0	0	0	1	4	1	5	50.00%	0	14	14.42	0	0	0	0	0	0	0	0	0	0	1	0	0.00%	0	0	0	4.16	0	0	0	0	0
21	Jiri Sekac	TORONTO Marlies (TOR)	LW	1	0	0	0	0	0	0	2	0	2	3	1	0.00%	0	10	10.20	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0.00	0	0	0	0	0
Team Total or Average				508	177	284	461	319	250	20	709	595	1552	430	1089	11.40%	304	8434	16.60	21	40	61	183	708	1	2	3	19	730	18	5	58.92%	2950	1	11	1.09	1	3	17	21	22

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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	Reto Berra	TORONTO Marlies (TOR)	36	15	21	0	0.919	2.64	2158	8	2	95	1170	0	2	0	0.000	0	36	0	5	2	1
Team Total or Average			36	15	21	0	0.919	2.64	2158	8	2	95	1170	0	2	0	0.000	0	36	0	5	2	1

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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	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
Brandon Mashinter	TORONTO Marlies (TOR)	LW	29	9/20/1988	No	96 Kg	193 CM	No	No	No	1	UFA	Pro & Farm	575,000$	0$	0$	No	Link
Chris Butler	TORONTO Marlies (TOR)	D	31	10/27/1986	No	89 Kg	185 CM	No	No	No	2	UFA	Pro & Farm	650,000$	0$	0$	No	Link
Curtis Lazar	TORONTO Marlies (TOR)	C/RW	23	2/2/1995	No	95 Kg	183 CM	No	No	No	6	RFA	Pro & Farm	950,000$	0$	0$	No	Link
Jamie McBain	TORONTO Marlies (TOR)	D	30	2/25/1988	No	82 Kg	185 CM	No	No	No	2	UFA	Pro & Farm	650,000$	0$	0$	No	Link
Jean-Sebastien Dea	TORONTO Marlies (TOR)	C	24	2/8/1994	No	80 Kg	180 CM	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Jiri Sekac	TORONTO Marlies (TOR)	LW	26	6/10/1992	No	84 Kg	185 CM	No	No	No	3	RFA	Pro & Farm	1,000,000$	0$	0$	No
Jordan Szwarz	TORONTO Marlies (TOR)	RW	27	5/14/1991	No	91 Kg	180 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Julian Melchiori	TORONTO Marlies (TOR)	D	26	12/6/1991	No	97 Kg	196 CM	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Louis-Marc Aubry	TORONTO Marlies (TOR)	C	26	11/11/1991	No	99 Kg	193 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No
Lucas Lessio	TORONTO Marlies (TOR)	LW	25	1/23/1993	No	96 Kg	185 CM	No	No	No	5	RFA	Pro & Farm	750,000$	0$	0$	No
Luke Johnson	TORONTO Marlies (TOR)	C	23	9/19/1994	No	90 Kg	155 CM	No	No	No	5	RFA	Pro & Farm	925,000$	0$	0$	No	Link
Magnus Hellberg	TORONTO Marlies (TOR)	G	27	4/4/1991	No	95 Kg	198 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No
Mark McNeill	TORONTO Marlies (TOR)	C/RW	25	2/22/1993	No	97 Kg	188 CM	No	No	No	1	RFA	Pro & Farm	600,000$	0$	0$	No	Link
Matt Bartkowski	TORONTO Marlies (TOR)	D	30	6/4/1988	No	89 Kg	185 CM	No	No	No	1	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link
Phil Lane	TORONTO Marlies (TOR)	RW	26	5/29/1992	Yes	99 Kg	191 CM	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No
Philip Samuelsson	TORONTO Marlies (TOR)	D	27	7/26/1991	No	88 Kg	188 CM	No	No	No	1	RFA	Pro & Farm	1,950,000$	0$	0$	No	Link
Reto Berra	TORONTO Marlies (TOR)	G	31	1/3/1987	No	99 Kg	193 CM	No	No	No	1	UFA	Pro & Farm	1,660,000$	0$	0$	No	Link
Sebastian Collberg	TORONTO Marlies (TOR)	RW	24	2/23/1994	Yes	89 Kg	180 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No
Tommy Wingels	TORONTO Marlies (TOR)	C/RW	30	4/12/1988	No	91 Kg	183 CM	No	No	No	2	UFA	Pro & Farm	1,750,000$	0$	0$	No	Link
Vitek Vanecek	TORONTO Marlies (TOR)	G	22	1/9/1996	Yes	82 Kg	185 CM	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Yannick Veilleux	TORONTO Marlies (TOR)	LW	25	2/22/1993	No	89 Kg	188 CM	No	No	No	5	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Zach Trotman	TORONTO Marlies (TOR)	D	28	8/26/1990	No	99 Kg	191 CM	No	No	No	5	UFA	Pro & Farm	750,000$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	26.59	92 Kg	185 CM	2.55	907,273$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brandon Mashinter	Jean-Sebastien Dea	Jordan Szwarz	33	0	2	3
2	Yannick Veilleux	Luke Johnson	Mark McNeill	30	0	2	3
3		Mark McNeill		27	0	2	3
4				10	0	3	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Matt Bartkowski	36	0	2	3
2	Chris Butler	Jamie McBain	31	0	2	3
3	Zach Trotman	Philip Samuelsson	28	0	2	3
4			5	0	3	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brandon Mashinter	Jean-Sebastien Dea	Jordan Szwarz	50	0	0	5
2	Yannick Veilleux	Luke Johnson	Mark McNeill	50	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Matt Bartkowski	50	0	1	4
2	Chris Butler	Jamie McBain	50	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jean-Sebastien Dea	Brandon Mashinter	50	0	4	1
2	Luke Johnson	Yannick Veilleux	50	0	4	1

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Matt Bartkowski	50	0	5	0
2	Chris Butler	Jamie McBain	50	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jean-Sebastien Dea	50	0	5	0		Matt Bartkowski	50	0	5	0
2	Luke Johnson	50	0	5	0	Chris Butler	Jamie McBain	50	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jean-Sebastien Dea	Brandon Mashinter	50	0	1	4
2	Luke Johnson	Yannick Veilleux	50	0	1	4

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Matt Bartkowski	50	0	2	3
2	Chris Butler	Jamie McBain	50	0	2	3

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Brandon Mashinter	Jean-Sebastien Dea	Jordan Szwarz		Matt Bartkowski

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Brandon Mashinter	Jean-Sebastien Dea	Jordan Szwarz		Matt Bartkowski

Extra Forwards
Normal	PowerPlay	Penalty Kill
Mark McNeill, Yannick Veilleux,	Mark McNeill, Yannick Veilleux	Mark McNeill

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Zach Trotman, Philip Samuelsson,	Zach Trotman	Zach Trotman, Philip Samuelsson

Penalty Shots
Jordan Szwarz, Brandon Mashinter, Jean-Sebastien Dea, Luke Johnson, Mark McNeill

Goalie
#1 : Reto Berra, #2 : Vitek Vanecek

Custom OT Lines Forwards
Jordan Szwarz, Brandon Mashinter, Jean-Sebastien Dea, Luke Johnson, Mark McNeill, Yannick Veilleux, Yannick Veilleux, , , ,

Custom OT Lines Defensemen
, Matt Bartkowski, Chris Butler, Jamie McBain, Zach Trotman

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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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	BELLEVILLE Senators	5	2	3	0	0	0	0	0	13	19	-6	3	0	3	0	0	0	0	0	5	13	-8	2	2	0	0	0	0	0	0	8	6	2	4	0.400	13	24	37	0	0	79	48	34	1	151	499	476	473	5	174	52	26	100	11	3	27.27%	13	1	92.31%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
2	CHICAGO Wolves	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	0	79	48	34	1	27	499	476	473	5	28	7	2	16	3	1	33.33%	0	0	0.00%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
3	CLEVELAND Monsters	2	0	2	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	0	1	-1	0	0.000	1	2	3	0	0	79	48	34	1	51	499	476	473	5	82	25	17	38	5	0	0.00%	5	1	80.00%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
4	CORNWALL Aces	7	7	0	0	0	0	0	0	75	12	63	2	2	0	0	0	0	0	0	23	2	21	5	5	0	0	0	0	0	0	52	10	42	14	1.000	75	138	213	0	2	79	48	34	1	469	499	476	473	5	127	34	24	136	5	3	60.00%	12	2	83.33%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
5	HERSEY Bears	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	6	9	0	0	79	48	34	1	17	499	476	473	5	44	7	16	22	3	0	0.00%	7	2	71.43%	1	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
6	IOWA Wild	2	0	2	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	5	10	15	0	0	79	48	34	1	61	499	476	473	5	86	11	10	42	7	2	28.57%	5	2	60.00%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
7	LAVAL Rockets	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	79	48	34	1	27	499	476	473	5	56	15	4	21	4	1	25.00%	2	0	100.00%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
8	MILWAUKEE Admirals	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	79	48	34	1	29	499	476	473	5	40	11	4	17	2	0	0.00%	2	0	100.00%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
9	MONT-LAURIER Sommet	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	79	48	34	1	19	499	476	473	5	37	18	8	10	0	0	0.00%	4	0	100.00%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
10	PROVIDENCE Bruins	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	79	48	34	1	15	499	476	473	5	26	11	4	13	1	0	0.00%	1	0	100.00%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
11	PV Sharapovas	3	1	1	0	1	0	0	0	10	9	1	2	1	1	0	0	0	0	0	6	6	0	1	0	0	0	1	0	0	0	4	3	1	4	0.667	10	16	26	0	0	79	48	34	1	84	499	476	473	5	86	34	30	57	10	3	30.00%	14	3	78.57%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
12	ROCKFORD IceHogs	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	4	7	0	0	79	48	34	1	29	499	476	473	5	32	9	4	12	4	1	25.00%	1	0	100.00%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
13	SAN DIEGO Gulls	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	79	48	34	1	29	499	476	473	5	29	16	4	21	3	0	0.00%	2	0	100.00%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
14	STOCKTON Flames	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	4	6	0	0	79	48	34	1	17	499	476	473	5	42	10	2	16	1	0	0.00%	1	0	100.00%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
15	SYRACUSE Crunch	6	4	2	0	0	0	0	0	29	16	13	4	3	1	0	0	0	0	0	21	8	13	2	1	1	0	0	0	0	0	8	8	0	8	0.667	29	51	80	0	0	79	48	34	1	289	499	476	473	5	165	44	80	137	17	7	41.18%	28	1	96.43%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
16	TUSCON Roadrunners	3	0	3	0	0	0	0	0	3	8	-5	2	0	2	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	3	5	8	0	0	79	48	34	1	37	499	476	473	5	134	29	22	59	7	0	0.00%	11	1	90.91%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
	Total	40	17	22	0	1	0	0	0	162	111	51	20	8	12	0	0	0	0	0	71	51	20	20	9	10	0	1	0	0	0	91	60	31	36	0.450	162	292	454	0	2	79	48	34	1	1453	499	476	473	5	1279	358	269	755	88	21	23.86%	114	13	88.60%	1	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
18	UTICA Comets	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	79	48	34	1	25	499	476	473	5	33	9	0	9	2	0	0.00%	0	0	0.00%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
19	VICTORIAVILLE Tigres	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	1	2	0	0	79	48	34	1	17	499	476	473	5	45	13	10	18	3	0	0.00%	5	0	100.00%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
20	WILKIES-BARRIE Penguins	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	6	1	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	79	48	34	1	60	499	476	473	5	13	3	2	11	0	0	0.00%	1	0	100.00%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
	_Since Last GM Reset	40	17	22	0	1	0	0	0	162	111	51	20	8	12	0	0	0	0	0	71	51	20	20	9	10	0	1	0	0	0	91	60	31	36	0.450	162	292	454	0	2	79	48	34	1	1453	499	476	473	5	1279	358	269	755	88	21	23.86%	114	13	88.60%	1	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
	_Vs Conference	29	15	13	0	1	0	0	0	142	80	62	14	6	8	0	0	0	0	0	59	36	23	15	9	5	0	1	0	0	0	83	44	39	32	0.552	142	256	398	0	2	79	48	34	1	1144	499	476	473	5	896	245	212	575	61	18	29.51%	93	10	89.25%	0	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
	_Vs Division	4	14	9	0	1	0	0	0	10	12	-2	2	6	7	0	0	0	0	0	7	6	1	2	8	2	0	1	0	0	0	3	6	-3	30	3.750	10	19	29	0	0	79	48	34	1	128	499	476	473	5	139	35	35	71	8	0	0.00%	13	3	76.92%	1	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
40	36	L1	162	292	454	1453	1279	358	269	755	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	17	22	1	0	0	0	162	111

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	8	12	0	0	0	0	71	51

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	9	10	1	0	0	0	91	60

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	9	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
88	21	23.86%	114	13	88.60%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
499	476	473	5	79	48	34	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
610	1154	52.86%	623	1301	47.89%	341	643	53.03%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
984	730	968	247	451	224

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	RI	Link
1 - 2019-01-23	4	SYRACUSE Crunch	1	TORONTO Marlies	11	W		R3	BoxScore
2 - 2019-01-24	14	TORONTO Marlies	12	CORNWALL Aces	5	W			BoxScore
4 - 2019-01-26	31	BELLEVILLE Senators	7	TORONTO Marlies	2	L			BoxScore
6 - 2019-01-28	47	TORONTO Marlies	10	CORNWALL Aces	3	W			BoxScore
7 - 2019-01-29	57	CORNWALL Aces	2	TORONTO Marlies	12	W			BoxScore
9 - 2019-01-31	73	TORONTO Marlies	12	CORNWALL Aces	1	W			BoxScore
10 - 2019-02-01	87	BELLEVILLE Senators	4	TORONTO Marlies	2	L			BoxScore
11 - 2019-02-02	95	TORONTO Marlies	2	BELLEVILLE Senators	1	W			BoxScore
13 - 2019-02-04	108	TORONTO Marlies	1	TUSCON Roadrunners	4	L			BoxScore
14 - 2019-02-05	121	PV Sharapovas	2	TORONTO Marlies	3	W			BoxScore
15 - 2019-02-06	134	TORONTO Marlies	8	CORNWALL Aces	0	W			BoxScore
17 - 2019-02-08	145	SYRACUSE Crunch	1	TORONTO Marlies	4	W		R3	BoxScore
18 - 2019-02-09	154	TORONTO Marlies	4	SYRACUSE Crunch	5	L			BoxScore
20 - 2019-02-11	173	SYRACUSE Crunch	5	TORONTO Marlies	3	L		R3	BoxScore
22 - 2019-02-13	189	TORONTO Marlies	4	PV Sharapovas	3	W	X		BoxScore
23 - 2019-02-14	196	TUSCON Roadrunners	2	TORONTO Marlies	1	L			BoxScore
24 - 2019-02-15	215	CHICAGO Wolves	1	TORONTO Marlies	2	W			BoxScore
26 - 2019-02-17	225	TORONTO Marlies	1	VICTORIAVILLE Tigres	2	L			BoxScore
27 - 2019-02-18	234	TORONTO Marlies	6	BELLEVILLE Senators	5	W			BoxScore
29 - 2019-02-20	248	BELLEVILLE Senators	2	TORONTO Marlies	1	L			BoxScore
31 - 2019-02-22	267	WILKIES-BARRIE Penguins	1	TORONTO Marlies	6	W			BoxScore
32 - 2019-02-23	280	TORONTO Marlies	1	PROVIDENCE Bruins	3	L			BoxScore
33 - 2019-02-24	287	TORONTO Marlies	10	CORNWALL Aces	1	W			BoxScore
34 - 2019-02-25	304	MILWAUKEE Admirals	2	TORONTO Marlies	1	L			BoxScore
36 - 2019-02-27	317	TORONTO Marlies	3	ROCKFORD IceHogs	4	L			BoxScore
37 - 2019-02-28	325	TORONTO Marlies	3	HERSEY Bears	5	L		R3	BoxScore
39 - 2019-03-02	341	SYRACUSE Crunch	1	TORONTO Marlies	3	W		R3	BoxScore
41 - 2019-03-04	356	CLEVELAND Monsters	5	TORONTO Marlies	1	L			BoxScore
42 - 2019-03-05	366	TORONTO Marlies	4	SYRACUSE Crunch	3	W		R3	BoxScore
43 - 2019-03-06	379	TORONTO Marlies	4	MONT-LAURIER Sommet	2	W			BoxScore
45 - 2019-03-08	390	PV Sharapovas	4	TORONTO Marlies	3	L			BoxScore
46 - 2019-03-09	404	LAVAL Rockets	4	TORONTO Marlies	2	L			BoxScore
48 - 2019-03-11	424	SAN DIEGO Gulls	2	TORONTO Marlies	0	L			BoxScore
49 - 2019-03-12	434	TORONTO Marlies	3	IOWA Wild	4	L			BoxScore
51 - 2019-03-14	447	TUSCON Roadrunners	2	TORONTO Marlies	1	L			BoxScore
52 - 2019-03-15	463	TORONTO Marlies	0	CLEVELAND Monsters	1	L			BoxScore
53 - 2019-03-16	474	IOWA Wild	3	TORONTO Marlies	2	L			BoxScore
54 - 2019-03-17	482	TORONTO Marlies	1	UTICA Comets	3	L			BoxScore
56 - 2019-03-19	500	CORNWALL Aces	0	TORONTO Marlies	11	W			BoxScore
57 - 2019-03-20	507	TORONTO Marlies	2	STOCKTON Flames	5	L			BoxScore
59 - 2019-03-22	525	MONT-LAURIER Sommet	-	TORONTO Marlies	-
61 - 2019-03-24	537	TORONTO Marlies	-	CHICAGO Wolves	-
62 - 2019-03-25	550	TORONTO Marlies	-	PV Sharapovas	-
63 - 2019-03-26	561	VICTORIAVILLE Tigres	-	TORONTO Marlies	-
65 - 2019-03-28	578	ROCKFORD IceHogs	-	TORONTO Marlies	-
67 - 2019-03-30	592	TORONTO Marlies	-	TUSCON Roadrunners	-
68 - 2019-03-31	603	TORONTO Marlies	-	PV Sharapovas	-
69 - 2019-04-01	613	UTICA Comets	-	TORONTO Marlies	-
70 - 2019-04-02	630	PV Sharapovas	-	TORONTO Marlies	-
71 - 2019-04-03	641	TORONTO Marlies	-	BROOKLYN Wolfpack	-
73 - 2019-04-05	654	TORONTO Marlies	-	BRIDGEPORT Sound Tigers	-
74 - 2019-04-06	664	BRIDGEPORT Sound Tigers	-	TORONTO Marlies	-
76 - 2019-04-08	679	BELLEVILLE Senators	-	TORONTO Marlies	-
78 - 2019-04-10	695	TORONTO Marlies	-	MANITOBA Moose	-
79 - 2019-04-11	709	MANITOBA Moose	-	TORONTO Marlies	-
80 - 2019-04-12	724	TORONTO Marlies	-	LAVAL Rockets	-
81 - 2019-04-13	734	STOCKTON Flames	-	TORONTO Marlies	-
83 - 2019-04-15	747	TORONTO Marlies	-	COLORADO Eagles	-
84 - 2019-04-16	759	BROOKLYN Wolfpack	-	TORONTO Marlies	-
85 - 2019-04-17	773	TORONTO Marlies	-	MILWAUKEE Admirals	-
87 - 2019-04-19	786	PROVIDENCE Bruins	-	TORONTO Marlies	-
88 - 2019-04-20	799	TORONTO Marlies	-	SYRACUSE Crunch	-
90 - 2019-04-22	812	WILKIES-BARRIE Penguins	-	TORONTO Marlies	-
92 - 2019-04-24	826	TORONTO Marlies	-	WILKIES-BARRIE Penguins	-
93 - 2019-04-25	838	COLORADO Eagles	-	TORONTO Marlies	-
95 - 2019-04-27	852	TORONTO Marlies	-	CLEVELAND Monsters	-
96 - 2019-04-28	862	TORONTO Marlies	-	LEHIGH VALLEY Phantoms	-
97 - 2019-04-29	871	TUSCON Roadrunners	-	TORONTO Marlies	-
98 - 2019-04-30	888	TORONTO Marlies	-	CORNWALL Aces	-
100 - 2019-05-02	900	TORONTO Marlies	-	BELLEVILLE Senators	-
101 - 2019-05-03	909	CLEVELAND Monsters	-	TORONTO Marlies	-
103 - 2019-05-05	925	CORNWALL Aces	-	TORONTO Marlies	-
104 - 2019-05-06	938	TORONTO Marlies	-	HOLLYWOOD Oscar	-
106 - 2019-05-08	952	HOLLYWOOD Oscar	-	TORONTO Marlies	-
108 - 2019-05-10	974	HERSEY Bears	-	TORONTO Marlies	-
109 - 2019-05-11	983	TORONTO Marlies	-	HERSEY Bears	-
110 - 2019-05-12	990	TORONTO Marlies	-	HOLLYWOOD Oscar	-
Trade Deadline --- Trades can’t be done after this day is simulated!
112 - 2019-05-14	1008	LEHIGH VALLEY Phantoms	-	TORONTO Marlies	-
113 - 2019-05-15	1017	TORONTO Marlies	-	SAN DIEGO Gulls	-
115 - 2019-05-17	1031	PROVIDENCE Bruins	-	TORONTO Marlies	-
117 - 2019-05-19	1050	TORONTO Marlies	-	TUSCON Roadrunners	-
119 - 2019-05-21	1065	CORNWALL Aces	-	TORONTO Marlies	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
21	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,298,106$	1,996,000$	1,996,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	962,182$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	62	22,425$	1,390,350$

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
28	78	64	8	0	2	3	0	1	449	79	370	39	33	4	0	1	1	0	0	225	36	189	39	31	4	0	1	2	0	1	224	43	181	128	449	827	1276	0	34	235	125	87	2	3861	1280	1256	1315	13	1265	346	470	1403	128	27	21.09%	215	18	91.63%	11	1621	2441	66.41%	903	1644	54.93%	810	1210	66.94%	2653	2100	1184	391	855	504
30	82	50	18	0	4	1	8	1	383	134	249	41	31	8	0	2	0	0	0	199	60	139	41	19	10	0	2	1	8	1	184	74	110	100	383	677	1060	1	20	200	91	80	17	3595	1168	1136	1260	66	1581	469	610	1506	140	30	21.43%	250	23	90.80%	5	1709	2672	63.96%	1071	1922	55.72%	775	1218	63.63%	2558	1960	1462	474	955	528
31	82	53	17	0	7	4	0	1	383	166	217	41	30	9	0	2	0	0	0	193	74	119	41	23	8	0	5	4	0	1	190	92	98	106	383	691	1074	2	14	177	115	84	7	3418	1169	1070	1157	25	1977	600	807	1667	237	56	23.63%	372	51	86.29%	7	1800	2825	63.72%	1368	2374	57.62%	827	1301	63.57%	2239	1643	1713	540	995	519
32	40	17	22	0	1	0	0	0	162	111	51	20	8	12	0	0	0	0	0	71	51	20	20	9	10	0	1	0	0	0	91	60	31	36	162	292	454	0	2	79	48	34	1	1453	499	476	473	5	1279	358	269	755	88	21	23.86%	114	13	88.60%	1	610	1154	52.86%	623	1301	47.89%	341	643	53.03%	984	730	968	247	451	224
Total Regular Season	282	184	65	0	14	8	8	3	1377	490	887	141	102	33	0	5	1	0	0	688	221	467	141	82	32	0	9	7	8	3	689	269	420	370	1377	2487	3864	3	70	691	379	285	27	12327	4116	3938	4205	109	6102	1773	2156	5331	593	134	22.60%	951	105	88.96%	24	5740	9092	63.13%	3965	7241	54.76%	2753	4372	62.97%	8435	6434	5329	1654	3256	1777
Playoff
28	21	16	5	0	0	0	0	0	60	44	16	11	9	2	0	0	0	0	0	36	21	15	10	7	3	0	0	0	0	0	24	23	1	32	60	106	166	0	4	15	23	20	2	611	199	201	197	14	506	130	173	359	62	9	14.52%	75	7	90.67%	1	341	684	49.85%	308	644	47.83%	140	289	48.44%	531	368	485	159	280	139
30	19	10	9	0	0	0	0	0	36	36	0	10	7	3	0	0	0	0	0	25	16	9	9	3	6	0	0	0	0	0	11	20	-9	20	36	69	105	0	1	15	10	9	2	524	155	178	180	11	527	157	176	374	47	7	14.89%	85	8	90.59%	0	283	596	47.48%	295	638	46.24%	120	254	47.24%	432	287	486	148	249	121
Total Playoff	40	26	14	0	0	0	0	0	96	80	16	21	16	5	0	0	0	0	0	61	37	24	19	10	9	0	0	0	0	0	35	43	-8	52	96	175	271	0	5	30	33	29	4	1135	354	379	377	25	1033	287	349	733	109	16	14.68%	160	15	90.63%	1	624	1280	48.75%	603	1282	47.04%	260	543	47.88%	964	656	972	307	529	260