LHSDB - Ligue de hockey simulee des debiles barbus

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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	Chris Kreider (A)	0		X			99.00	76	38	90	84	89	87	90	76	77	71	89	78	83	80	79	51	50	77	0
2	Ryan Nugent-Hopkins	0	X	X			99.00	59	38	89	82	73	90	87	83	73	87	77	84	79	80	72	73	50	77	0
3	David Pastrnak (A)	0			X		99.00	65	35	88	85	76	90	89	87	59	82	93	63	90	72	77	69	50	77	0
4	Jake Guentzel	0		X	X		99.00	65	34	81	84	68	91	89	83	56	81	86	63	85	72	76	53	50	75	0
5	John Tavares (C)	0	X	X			99.00	69	36	87	74	81	88	90	80	90	83	81	65	80	87	94	55	50	75	0
6	Dylan Strome	0	X				99.00	55	37	89	75	83	90	88	77	80	78	76	61	77	68	70	85	50	72	0
7	Nicholas Paul	0	X	X			100.00	71	50	86	68	88	87	90	67	82	66	69	84	66	70	71	51	50	71	0
8	Nic Dowd	0	X		X		100.00	83	35	83	66	76	83	84	65	82	67	68	88	62	76	75	29	50	70	0
9	Robby Fabbri	0	X	X			100.00	75	37	78	76	69	87	75	74	77	71	75	62	76	69	71	70	50	69	0
10	Eric Robinson	0		X			100.00	74	36	95	66	81	83	86	64	57	68	65	82	62	69	71	36	50	69	0
11	Travis Boyd	0	X		X		100.00	60	34	88	70	72	87	90	68	74	69	69	67	66	71	73	39	50	68	0
12	Justin Brazeau	0			X		100.00	71	43	94	62	93	88	82	61	65	62	60	64	59	65	67	42	50	65	0
13	Brayden McNabb	0				X	100.00	86	50	80	64	89	90	89	62	30	73	55	94	49	79	72	41	50	75	0
14	Dougie Hamilton	0				X	100.00	66	40	81	79	98	92	87	76	30	83	77	69	60	79	74	69	50	75	0
15	Justin Holl	0				X	100.00	79	43	83	66	83	91	88	63	30	74	56	84	50	72	74	55	50	73	0
16	Dmitry Kulikov	0				X	100.00	70	39	84	66	78	89	88	64	30	73	62	84	52	84	74	50	50	72	0
17	Robert Bortuzzo	0				X	100.00	77	75	82	63	90	84	82	61	30	62	55	82	48	77	74	34	50	71	0
18	Tony DeAngelo	0				X	100.00	60	49	72	76	68	91	85	74	30	84	72	65	59	70	72	69	50	70	0
Scratches
1	Nick Bonino	0	X	X			98.16	55	35	90	68	76	89	87	67	80	62	68	87	65	84	75	25	50	70	0

	TEAM AVERAGE					99.58	69	41	85	72	81	88	87	71	60	73	71	75	67	75	74	52	50	72

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Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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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	Darcy Kuemper	98.00	96	95	90	92	95	94	96	95	94	96	95	80	87	52	50	91	0
2	Filip Gustavsson	100.00	90	95	91	77	89	88	90	89	88	90	89	65	73	68	50	84	0
Scratches

	TEAM AVERAGE	99.00	93	95	91	85	92	91	93	92	91	93	92	73	80	60	50	88

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Todd McLellan	81	86	86	83	82	77	66	CAN	55	6	5,000,000$

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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	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Ryan Nugent-Hopkins	Columbus Jackets	C/LW	82	34	53	87	29	18	0	73	185	327	96	267	10.40%	21	1641	20.02	11	12	23	66	241	0	1	1	1	132	7	0	48.65%	520	1	1	1.06	1	2	0	0	0	8	3	4
2	David Pastrnak	Columbus Jackets	RW	79	35	42	77	33	36	0	85	130	348	86	234	10.06%	11	1516	19.20	2	13	15	50	242	0	0	0	0	0	5	1	35.85%	106	0	0	1.02	0	4	0	0	0	8	8	3
3	Jake Guentzel	Columbus Jackets	LW/RW	80	36	36	72	23	28	0	147	109	244	65	187	14.75%	7	1491	18.65	4	9	13	46	232	0	0	0	2	18	5	4	44.44%	126	0	0	0.97	2	7	0	0	0	10	6	9
4	Chris Kreider	Columbus Jackets	LW	79	31	36	67	42	51	5	155	132	317	89	240	9.78%	17	1495	18.92	8	8	16	59	238	0	0	0	0	2	7	0	50.00%	110	0	1	0.90	3	5	0	0	1	7	4	6
5	Dougie Hamilton	Columbus Jackets	D	82	9	52	61	31	69	5	102	86	120	37	90	7.50%	61	1842	22.47	1	14	15	60	259	0	0	0	1	81	3	0	0.00%	0	0	0	0.66	0	0	1	0	0	2	3	3
6	John Tavares	Columbus Jackets	C/LW	71	26	34	60	30	34	0	88	141	147	51	122	17.69%	7	1323	18.64	9	7	16	37	213	0	0	0	0	0	10	0	56.20%	1660	0	0	0.91	1	3	0	0	0	3	6	3
7	Tony DeAngelo	Columbus Jackets	D	82	11	40	51	19	70	20	96	66	84	36	56	13.10%	50	1728	21.08	5	8	13	42	237	0	0	0	0	16	2	0	0.00%	0	0	0	0.59	0	0	1	1	2	1	2	1
8	Dylan Strome	Columbus Jackets	C	81	16	32	48	16	14	0	49	154	152	29	108	10.53%	4	1493	18.44	5	8	13	31	240	0	0	0	0	19	1	0	52.06%	1846	0	0	0.64	0	1	0	0	0	0	5	3
9	Brayden McNabb	Columbus Jackets	D	82	4	36	40	35	118	10	238	99	52	23	36	7.69%	137	1628	19.86	0	1	1	9	50	0	0	0	0	265	1	0	0.00%	0	0	0	0.49	0	0	0	1	1	2	1	3
10	Justin Holl	Columbus Jackets	D	82	8	30	38	33	95	5	183	81	84	25	55	9.52%	117	1764	21.52	3	4	7	40	194	0	0	0	0	274	0	0	0.00%	0	0	0	0.43	0	0	0	0	1	2	3	0
11	Dmitry Kulikov	Columbus Jackets	D	77	5	28	33	9	43	5	85	84	72	27	44	6.94%	84	1492	19.38	2	9	11	44	202	0	1	1	2	278	0	0	0.00%	0	0	0	0.44	0	0	1	0	0	0	2	1
12	Nicholas Paul	Columbus Jackets	C/LW	82	10	15	25	11	10	0	54	182	137	38	93	7.30%	21	1272	15.52	0	2	2	1	16	2	0	2	8	346	3	1	51.94%	1621	0	0	0.39	0	0	0	0	0	2	3	3
13	Nic Dowd	Columbus Jackets	C/RW	82	11	7	18	12	44	0	103	115	117	27	89	9.40%	19	1110	13.54	0	0	0	0	1	0	0	0	7	269	1	0	52.10%	286	1	0	0.32	0	1	0	0	0	1	3	3
14	Robby Fabbri	Columbus Jackets	C/LW	82	10	7	17	6	26	0	81	61	112	31	62	8.93%	2	962	11.74	0	0	0	1	23	0	0	0	0	0	2	0	47.56%	82	0	0	0.35	0	0	0	0	0	1	1	2
15	Robert Bortuzzo	Columbus Jackets	D	82	2	11	13	7	103	25	142	45	29	7	23	6.90%	74	1267	15.46	0	0	0	1	2	0	0	0	1	179	0	1	0.00%	0	0	0	0.21	0	0	2	1	2	0	1	1
16	Travis Boyd	Columbus Jackets	C/RW	78	4	6	10	-6	12	0	19	61	68	16	38	5.88%	4	590	7.56	0	0	0	0	1	0	0	0	0	0	0	1	51.68%	327	0	0	0.34	0	0	0	0	0	0	1	0
17	Eric Robinson	Columbus Jackets	LW	82	5	4	9	-3	16	0	48	39	58	12	31	8.62%	14	557	6.80	0	0	0	0	1	0	1	1	2	160	1	0	41.38%	29	0	0	0.32	0	0	0	0	0	0	1	0
18	Nick Bonino	Columbus Jackets	C/LW	72	4	4	8	6	0	0	12	68	66	15	60	6.06%	11	590	8.21	0	0	0	0	0	1	0	1	2	176	0	0	51.15%	434	0	0	0.27	0	0	0	0	0	0	0	1
19	Justin Brazeau	Columbus Jackets	RW	11	2	0	2	6	0	0	0	0	6	0	2	33.33%	0	89	8.11	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	3	0	0	0.45	0	0	0	0	0	0	0	0
20	Chris Wagner	Monsters (Clb)	C/RW	37	1	0	1	-4	6	0	32	6	6	1	5	16.67%	1	157	4.26	0	0	0	0	0	0	0	0	0	1	1	0	37.50%	16	0	0	0.13	0	0	0	0	0	0	0	0
21	Pierrick Dube	Monsters (Clb)	RW	1	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	5	5.77	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
22	Ty Smith	Monsters (Clb)	D	5	0	0	0	0	2	0	2	2	1	0	2	0.00%	2	87	17.45	0	0	0	1	15	0	0	0	0	3	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				1491	264	473	737	335	795	75	1794	1846	2547	711	1844	10.37%	664	24110	16.17	50	95	145	488	2416	3	3	6	26	2225	49	8	52.15%	7166	2	2	0.61	7	23	5	3	7	47	53	46

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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	EG	PS %	PSA	ST	BG	S1	S3
1	Darcy Kuemper	Columbus Jackets	54	30	14	3	0.920	2.20	2948	8	6	108	1353	4	0.786	14	48	34	4	5
2	Filip Gustavsson	Columbus Jackets	32	21	7	0	0.911	2.34	1696	4	2	66	742	0	0.833	6	27	37	2	1
Team Total or Average			86	51	21	3	0.917	2.25	4645	12	8	174	2095	4	0.800	20	75	71	6	6

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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	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
Brayden McNabb	D	33	1991-01-21	No	215 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	3,500,000$	3,500,000$	36,458$	No	Link / NHL Link
Chris Kreider	LW	32	1991-04-30	No	230 Lbs	6 ft3	No	No	No	3	UFA	Pro & Farm	5,000,000$	5,000,000$	52,083$	No	Link / NHL Link
Darcy Kuemper	G	33	1990-05-05	No	215 Lbs	6 ft5	No	No	No	2	UFA	Pro & Farm	900,000$	900,000$	9,375$	No	Link / NHL Link
David Pastrnak	RW	27	1996-05-25	No	195 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	5,000,000$	5,000,000$	52,083$	No	Link / NHL Link
Dmitry Kulikov	D	33	1990-10-29	No	201 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	1,000,000$	1,000,000$	10,417$	No	Link / NHL Link
Dougie Hamilton	D	30	1993-06-17	No	230 Lbs	6 ft6	No	No	No	1	UFA	Pro & Farm	3,500,000$	3,500,000$	36,458$	No	Link / NHL Link
Dylan Strome	C	27	1997-03-07	No	200 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	2,500,000$	2,500,000$	26,042$	No	Link / NHL Link
Eric Robinson	LW	28	1995-06-14	No	205 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	300,000$	300,000$	3,125$	No	Link / NHL Link
Filip Gustavsson	G	25	1998-06-07	No	184 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	750,000$	750,000$	7,812$	No	Link / NHL Link
Jake Guentzel	LW/RW	29	1994-10-06	No	180 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	4,199,999$	4,199,999$	43,750$	No	Link / NHL Link
John Tavares	C/LW	33	1990-09-20	No	216 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	5,000,000$	5,000,000$	52,083$	No	Link / NHL Link
Justin Brazeau	RW	26	1998-02-02	No	220 Lbs	6 ft5	No	No	No	2	RFA	Pro & Farm	300,000$	300,000$	3,125$	No	Link / NHL Link
Justin Holl	D	32	1992-01-30	No	197 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	2,500,000$	2,500,000$	26,042$	No	Link / NHL Link
Nic Dowd	C/RW	33	1990-05-27	No	193 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	900,000$	900,000$	9,375$	No	Link / NHL Link
Nicholas Paul	C/LW	29	1995-03-20	No	223 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	2,500,000$	2,500,000$	26,042$	No	Link / NHL Link
Nick Bonino	C/LW	35	1988-04-20	No	195 Lbs	6 ft1	No	No	No	4	UFA	Pro & Farm	500,000$	500,000$	5,208$	No	Link / NHL Link
Robby Fabbri	C/LW	28	1996-01-22	No	185 Lbs	5 ft11	No	No	No	4	UFA	Pro & Farm	2,500,000$	2,500,000$	26,042$	No	Link / NHL Link
Robert Bortuzzo	D	35	1989-03-18	No	216 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	1,000,000$	1,000,000$	10,417$	No	Link / NHL Link
Ryan Nugent-Hopkins	C/LW	31	1993-04-12	No	195 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	4,900,000$	4,900,000$	51,042$	No	Link / NHL Link
Tony DeAngelo	D	28	1995-10-24	No	180 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	2,500,000$	2,500,000$	26,042$	No	Link / NHL Link
Travis Boyd	C/RW	30	1993-09-14	No	190 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	1,000,000$	1,000,000$	10,417$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	30.33	203 Lbs	6 ft2	1.67	2,392,857$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
50,249,999$	17,600,000$	10,500,000$	3,000,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Chris Kreider	Dylan Strome	David Pastrnak	34	1	1	3
2	Ryan Nugent-Hopkins	John Tavares	Jake Guentzel	33	0	2	3
3	Robby Fabbri	Nicholas Paul	Nic Dowd	24	1	2	2
4	Eric Robinson	Travis Boyd	Justin Brazeau	9	1	3	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dougie Hamilton	Brayden McNabb	32	1	2	2
2	Justin Holl	Tony DeAngelo	32	1	3	1
3	Dmitry Kulikov	Robert Bortuzzo	27	1	3	1
4	Dougie Hamilton	Tony DeAngelo	9	0	2	3

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Chris Kreider	Dylan Strome	David Pastrnak	52	1	1	3
2	Ryan Nugent-Hopkins	John Tavares	Jake Guentzel	48	1	1	3

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dougie Hamilton	Tony DeAngelo	60	1	1	3
2	Brayden McNabb	Dmitry Kulikov	40	1	1	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nicholas Paul	Nic Dowd	60	1	4	0
2	Ryan Nugent-Hopkins	Eric Robinson	40	1	4	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brayden McNabb	Justin Holl	60	1	4	0
2	Robert Bortuzzo	Dmitry Kulikov	40	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Nicholas Paul	60	0	5	0	Brayden McNabb	Justin Holl	60	1	4	0
2	Nic Dowd	40	0	5	0	Robert Bortuzzo	Dmitry Kulikov	40	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	John Tavares	David Pastrnak	50	1	2	2
2	Dylan Strome	Chris Kreider	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dougie Hamilton	Brayden McNabb	60	1	2	2
2	Justin Holl	Tony DeAngelo	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Chris Kreider	John Tavares	David Pastrnak	Dougie Hamilton	Tony DeAngelo

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Ryan Nugent-Hopkins	Nicholas Paul	Nic Dowd	Brayden McNabb	Justin Holl

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jake Guentzel, David Pastrnak, Ryan Nugent-Hopkins	Chris Kreider, Ryan Nugent-Hopkins	Ryan Nugent-Hopkins

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Tony DeAngelo, Dougie Hamilton, Brayden McNabb	Dougie Hamilton	Justin Holl, Brayden McNabb

Penalty Shots
David Pastrnak, Jake Guentzel, Chris Kreider, Dylan Strome, Ryan Nugent-Hopkins

Goalie
#1 : Darcy Kuemper, #2 : Filip Gustavsson

Custom OT Lines Forwards
John Tavares, David Pastrnak, Chris Kreider, Dylan Strome, Jake Guentzel, Ryan Nugent-Hopkins, Ryan Nugent-Hopkins, Nicholas Paul, Robby Fabbri, Travis Boyd, Nic Dowd

Custom OT Lines Defensemen
Dougie Hamilton, Brayden McNabb, Justin Holl, Tony DeAngelo, Dmitry Kulikov

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			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	109	W1	264	475	739	2523	2249	668	824	1843	5	8

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	48	26	2	1	3	2	264	198

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	24	13	2	0	2	0	135	93

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	24	13	0	1	1	2	129	105

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	2	0	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
291	51	17.53%	332	56	83.13%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
810	849	841	43	94	87	78	7

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1516	2854	53.12%	1433	2764	51.85%	654	1231	53.13%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1960	1363	1971	594	1017	504

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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
3 - 2023-08-12	11	Philadelphia Flyers	4	Columbus Jackets	2	L			BoxScore
5 - 2023-08-14	22	New York Rangers	4	Columbus Jackets	2	L			BoxScore
7 - 2023-08-16	35	Detroit Red Wings	5	Columbus Jackets	3	L			BoxScore
11 - 2023-08-20	63	Calgary Flames	0	Columbus Jackets	1	W			BoxScore
12 - 2023-08-21	73	Columbus Jackets	2	Minnesota Wild	3	L	X	X	BoxScore
15 - 2023-08-24	84	Anaheim Ducks	3	Columbus Jackets	4	W			BoxScore
17 - 2023-08-26	103	Columbus Jackets	7	Montreal Canadiens	1	W			BoxScore
19 - 2023-08-28	121	New York Islanders	5	Columbus Jackets	1	L			BoxScore
21 - 2023-08-30	136	Columbus Jackets	4	Dallas Stars	1	W			BoxScore
24 - 2023-09-02	146	Tampa Lightning	4	Columbus Jackets	2	L			BoxScore
26 - 2023-09-04	166	Columbus Jackets	1	Washington Capitals	3	L			BoxScore
28 - 2023-09-06	176	Columbus Jackets	6	Florida Panthers	0	W			BoxScore
31 - 2023-09-09	194	Dallas Stars	3	Columbus Jackets	4	W			BoxScore
33 - 2023-09-11	210	Columbus Jackets	2	Detroit Red Wings	3	L			BoxScore
34 - 2023-09-12	225	Columbus Jackets	4	New York Rangers	1	W			BoxScore
36 - 2023-09-14	230	Pittsburgh Penguins	3	Columbus Jackets	1	L			BoxScore
38 - 2023-09-16	243	Phoenix Coyotes	2	Columbus Jackets	3	W			BoxScore
40 - 2023-09-18	263	Columbus Jackets	1	Washington Capitals	7	L			BoxScore
41 - 2023-09-19	268	Columbus Jackets	4	Philadelphia Flyers	1	W			BoxScore
44 - 2023-09-22	280	Chicago Blackhawks	4	Columbus Jackets	2	L			BoxScore
46 - 2023-09-24	297	Columbus Jackets	4	New Jersey Devils	3	W			BoxScore
48 - 2023-09-26	318	Columbus Jackets	2	Carolina Hurricanes	1	W			BoxScore
49 - 2023-09-27	321	Boston Bruins	5	Columbus Jackets	7	W			BoxScore
51 - 2023-09-29	337	Montreal Canadiens	0	Columbus Jackets	5	W			BoxScore
53 - 2023-10-01	354	Ottawa Senators	1	Columbus Jackets	5	W			BoxScore
55 - 2023-10-03	371	Columbus Jackets	1	Boston Bruins	5	L			BoxScore
57 - 2023-10-05	381	Los Angeles Kings	3	Columbus Jackets	4	W			BoxScore
59 - 2023-10-07	397	Columbus Jackets	6	New York Islanders	3	W			BoxScore
60 - 2023-10-08	405	St-Louis Blues	2	Columbus Jackets	4	W			BoxScore
62 - 2023-10-10	420	Florida Panthers	1	Columbus Jackets	4	W			BoxScore
66 - 2023-10-14	449	Columbus Jackets	3	Toronto Leafs	1	W			BoxScore
68 - 2023-10-16	464	New Jersey Devils	3	Columbus Jackets	1	L			BoxScore
71 - 2023-10-19	485	Columbus Jackets	3	Buffalo Sabres	2	W			BoxScore
73 - 2023-10-21	499	Washington Capitals	0	Columbus Jackets	3	W			BoxScore
75 - 2023-10-23	518	Toronto Leafs	2	Columbus Jackets	3	W	X		BoxScore
79 - 2023-10-27	528	Columbus Jackets	3	New Jersey Devils	1	W			BoxScore
81 - 2023-10-29	546	Toronto Leafs	1	Columbus Jackets	0	L			BoxScore
82 - 2023-10-30	556	Columbus Jackets	3	Buffalo Sabres	2	W			BoxScore
85 - 2023-11-02	574	Boston Bruins	0	Columbus Jackets	4	W			BoxScore
87 - 2023-11-04	592	Columbus Jackets	3	Philadelphia Flyers	2	W	X	X	BoxScore
89 - 2023-11-06	610	Minnesota Wild	6	Columbus Jackets	4	L			BoxScore
92 - 2023-11-09	631	Columbus Jackets	3	Winnipeg Jets	4	L	X		BoxScore
96 - 2023-11-13	659	Seattle Kraken	2	Columbus Jackets	6	W			BoxScore
98 - 2023-11-15	673	Vancouver Canucks	1	Columbus Jackets	3	W			BoxScore
102 - 2023-11-19	703	New Jersey Devils	3	Columbus Jackets	1	L			BoxScore
106 - 2023-11-23	736	Columbus Jackets	0	Edmonton Oilers	2	L			BoxScore
108 - 2023-11-25	753	Columbus Jackets	2	Calgary Flames	4	L			BoxScore
110 - 2023-11-27	771	Columbus Jackets	3	Vancouver Canucks	2	W			BoxScore
111 - 2023-11-28	774	Columbus Jackets	6	Seattle Kraken	4	W			BoxScore
113 - 2023-11-30	776	Columbus Jackets	3	St-Louis Blues	2	W			BoxScore
124 - 2023-12-11	812	Tampa Lightning	0	Columbus Jackets	2	W			BoxScore
127 - 2023-12-14	826	Columbus Jackets	5	Ottawa Senators	2	W			BoxScore
131 - 2023-12-18	861	Columbus Jackets	2	San Jose Sharks	1	W			BoxScore
134 - 2023-12-21	883	Columbus Jackets	1	Los Angeles Kings	3	L			BoxScore
135 - 2023-12-22	886	Columbus Jackets	5	Anaheim Ducks	2	W			BoxScore
137 - 2023-12-24	900	Buffalo Sabres	2	Columbus Jackets	5	W			BoxScore
139 - 2023-12-26	921	New York Rangers	3	Columbus Jackets	2	L			BoxScore
142 - 2023-12-29	939	Columbus Jackets	2	New York Rangers	1	W			BoxScore
143 - 2023-12-30	942	Carolina Hurricanes	3	Columbus Jackets	4	W	X	X	BoxScore
145 - 2024-01-01	965	Columbus Jackets	2	Chicago Blackhawks	6	L			BoxScore
147 - 2024-01-03	975	Vegas Knights	0	Columbus Jackets	2	W			BoxScore
148 - 2024-01-04	983	Columbus Jackets	2	Pittsburgh Penguins	3	L			BoxScore
150 - 2024-01-06	995	Edmonton Oilers	2	Columbus Jackets	8	W			BoxScore
152 - 2024-01-08	1010	Nashville Predators	2	Columbus Jackets	3	W	X	X	BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2024-01-11	1033	Columbus Jackets	5	Montreal Canadiens	0	W			BoxScore
157 - 2024-01-13	1047	Ottawa Senators	1	Columbus Jackets	4	W			BoxScore
159 - 2024-01-15	1066	San Jose Sharks	1	Columbus Jackets	2	W	X		BoxScore
160 - 2024-01-16	1076	Winnipeg Jets	4	Columbus Jackets	3	L			BoxScore
162 - 2024-01-18	1083	Columbus Jackets	0	Detroit Red Wings	5	L			BoxScore
165 - 2024-01-21	1111	Columbus Jackets	1	Colorado Avalanche	4	L			BoxScore
166 - 2024-01-22	1123	Columbus Jackets	5	Vegas Knights	3	W			BoxScore
169 - 2024-01-25	1145	Columbus Jackets	6	Phoenix Coyotes	1	W			BoxScore
171 - 2024-01-27	1154	Columbus Jackets	3	Pittsburgh Penguins	4	L	X	X	BoxScore
173 - 2024-01-29	1172	Pittsburgh Penguins	1	Columbus Jackets	5	W			BoxScore
175 - 2024-01-31	1181	Colorado Avalanche	3	Columbus Jackets	4	W			BoxScore
178 - 2024-02-03	1203	New York Islanders	1	Columbus Jackets	5	W			BoxScore
180 - 2024-02-05	1222	Philadelphia Flyers	1	Columbus Jackets	2	W			BoxScore
181 - 2024-02-06	1230	Columbus Jackets	3	Carolina Hurricanes	2	W			BoxScore
183 - 2024-02-08	1245	Columbus Jackets	2	Tampa Lightning	3	L			BoxScore
185 - 2024-02-10	1256	Columbus Jackets	7	Florida Panthers	4	W			BoxScore
187 - 2024-02-12	1278	Columbus Jackets	2	Nashville Predators	3	L			BoxScore
190 - 2024-02-15	1296	Carolina Hurricanes	2	Columbus Jackets	5	W			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Arena Capacity	6000	5000	2000	4000	1000
Ticket Price	100	60	35	20	200
Attendance	233,412	192,374	78,979	155,866	38,813
Attendance PCT	94.88%	93.84%	96.32%	95.04%	94.67%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	17060 - 94.78%	603,639$	24,749,194$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
53,375,521$	50,249,999$	0$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
50,249,999$	48,362,981$	0$	21	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	2	287,760$	575,520$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
602,930$	50,249,999$	47,318,263$	46,715,333$

Depth Chart

Left Wing

Center

Right Wing

Ryan Nugent-Hopkins	AGE:31	PO:73	OV:77
Chris Kreider	AGE:32	PO:51	OV:77
John Tavares	AGE:33	PO:55	OV:75
Jake Guentzel	AGE:29	PO:53	OV:75
Nicholas Paul	AGE:29	PO:51	OV:71
Nick Bonino	AGE:35	PO:25	OV:70
Robby Fabbri	AGE:28	PO:70	OV:69
Eric Robinson	AGE:28	PO:36	OV:69
Jonah Gadjovich	AGE:25	PO:68	OV:61
Brayden Burke	AGE:27	PO:42	OV:60

Ryan Nugent-Hopkins	AGE:31	PO:73	OV:77
John Tavares	AGE:33	PO:55	OV:75
Dylan Strome	AGE:27	PO:85	OV:72
Nicholas Paul	AGE:29	PO:51	OV:71
Nic Dowd	AGE:33	PO:29	OV:70
Nick Bonino	AGE:35	PO:25	OV:70
Robby Fabbri	AGE:28	PO:70	OV:69
Travis Boyd	AGE:30	PO:39	OV:68
Chris Wagner	AGE:32	PO:36	OV:64
Jake Leschyshyn	AGE:25	PO:68	OV:63
Anthony Angello	AGE:28	PO:47	OV:61
David Cotton	AGE:26	PO:47	OV:59
Nikita Pavlychev	AGE:27	PO:47	OV:59
Aarne Talvitie	AGE:25	PO:48	OV:58

David Pastrnak	AGE:27	PO:69	OV:77
Jake Guentzel	AGE:29	PO:53	OV:75
Nic Dowd	AGE:33	PO:29	OV:70
Travis Boyd	AGE:30	PO:39	OV:68
Justin Brazeau	AGE:26	PO:42	OV:65
Chris Wagner	AGE:32	PO:36	OV:64
Pierrick Dube	AGE:23	PO:42	OV:62
Max Veronneau	AGE:28	PO:36	OV:58

Defense #1

Defense #2

Goalie

Dougie Hamilton	AGE:30	PO:69	OV:75
Brayden McNabb	AGE:33	PO:41	OV:75
Justin Holl	AGE:32	PO:55	OV:73
Dmitry Kulikov	AGE:33	PO:50	OV:72
Robert Bortuzzo	AGE:35	PO:34	OV:71
Tony DeAngelo	AGE:28	PO:69	OV:70

Ty Smith	AGE:24	PO:82	OV:65
Tommy Cross	AGE:34	PO:41	OV:62
Logan Day	AGE:29	PO:36	OV:61
Josiah Didier	AGE:31	PO:50	OV:60
Darien Kielb	AGE:25	PO:43	OV:60
Jack Dougherty	AGE:27	PO:61	OV:58

Darcy Kuemper	AGE:33	PO:52	OV:91
Filip Gustavsson	AGE:25	PO:68	OV:84
Laurent Brossoit	AGE:31	PO:51	OV:77

Prospects

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Prospect	Team Name	Draft Year	Overall Pick	Lien
Carson Focht	Columbus Jackets	15	164	Link
Jan Bednar	Columbus Jackets	16	169
Jonny Tychonick	Columbus Jackets	14	74
Luke Reid	Columbus Jackets	16	183
Tristan Lennox	Columbus Jackets	17	98

Draft Picks

Year	R1	R2	R3	R4	R5	R6
20		MTL				Pit
21	Clb			Clb	Clb	Was
22	Clb	Clb	Clb	Clb	Clb	Clb
23	Bos Clb	Clb	Clb	Clb	Clb	Clb

[2024-04-14 15:15:26] - TRADE : From Buffalo Sabres to Columbus Jackets : Ty Smith (65).
[2024-04-14 12:43:13] - TRADE : From Columbus Jackets to Buffalo Sabres : Ty Smith (65).
[2024-01-10 10:22:57] - Linden Marshall has been deleted from Columbus Jackets.
[2024-01-10 10:22:55] - Kasper Bjorkqvist has been deleted from Columbus Jackets.
[2024-01-10 10:22:51] - Cole Hults has been deleted from Columbus Jackets.
[2024-01-10 10:22:47] - Brian Boyle has been deleted from Columbus Jackets.
[2024-01-10 10:22:45] - Brennan Menell has been deleted from Columbus Jackets.
[2024-01-10 10:22:41] - Brad Richardson has been deleted from Columbus Jackets.
[2024-01-10 10:22:38] - Alexei Lipanov has been deleted from Columbus Jackets.
[2024-01-07 07:57:34] - TRADE : From Vegas Knights to Columbus Jackets : Travis Boyd (68).
[2023-11-19 10:10:03] - David Pastrnak has been selected as assistant for Columbus Jackets.
[2023-11-19 10:10:03] - Robert Bortuzzo is no longer as assistant for Columbus Jackets.
[2023-11-19 10:10:03] - Chris Kreider has been selected as assistant for Columbus Jackets.
[2023-11-19 10:10:03] - Unknown Player is no longer as assistant for Columbus Jackets.
[2023-11-18 10:08:18] - TRADE : From Chicago Blackhawks to Columbus Jackets : Chris Kreider (77).
[2023-11-18 10:08:18] - TRADE : From Columbus Jackets to Chicago Blackhawks : Tyler Bertuzzi (71), Thomas Bordeleau (64), Y:19-RND:2-New, Y:19-RND:2-Chi.
[2023-11-18 10:07:39] - TRADE : From Toronto Leafs to Columbus Jackets : Laurent Brossoit (77), Y:23-RND:1-Bos, Y:20-RND:2-MTL, Y:19-RND:2-Chi, Y:19-RND:2-New.
[2023-11-18 10:07:39] - TRADE : From Columbus Jackets to Toronto Leafs : Carter Hart (84).
[2023-11-12 09:57:49] - TRADE : From New Jersey Devils to Columbus Jackets : Jake Guentzel (75).
[2023-11-12 09:57:49] - TRADE : From Columbus Jackets to New Jersey Devils : Evander Kane (73).
[2023-11-10 11:27:49] - TRADE : From Nashville Predators to Columbus Jackets : Tony DeAngelo (70).
[2023-11-10 11:27:49] - TRADE : From Columbus Jackets to Nashville Predators : TJ Brodie (73).
[2023-09-25 15:27:24] - Team Name Change : Thunderbirds changed name to Monsters
[2023-09-25 15:13:02] - Team Name Change : Monsters changed name to Thunderbirds

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	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
6	38	16	13	0	0	2	3	4	133	122	11	20	7	6	0	0	2	2	3	71	67	4	18	9	7	0	0	0	1	1	62	55	7	34	133	209	342	1	1	0	33	48	49	1305	0	408	446	445	1308	418	469	757	120	20	16.67%	117	29	75.21%	7	465	947	49.10%	490	977	50.15%	335	648	51.70%	783	448	2960	1260	676	331
6	82	38	31	0	1	3	4	5	281	250	31	41	16	15	0	1	3	3	3	135	130	5	41	22	16	0	0	0	1	2	146	120	26	81	281	441	722	2	4	0	69	109	98	2850	0	886	1008	945	2683	910	1077	1722	251	45	17.93%	252	61	75.79%	11	1008	2050	49.17%	956	1966	48.63%	715	1394	51.29%	1707	976	3917	1660	1451	713
6	38	16	13	0	0	2	3	4	133	122	11	20	7	6	0	0	2	2	3	71	67	4	18	9	7	0	0	0	1	1	62	55	7	34	133	209	342	1	1	0	33	48	49	1305	0	408	446	445	1308	418	469	757	120	20	16.67%	117	29	75.21%	7	465	947	49.10%	490	977	50.15%	335	648	51.70%	783	448	2960	1260	676	331
6	82	38	31	0	1	3	4	5	281	250	31	41	16	15	0	1	3	3	3	135	130	5	41	22	16	0	0	0	1	2	146	120	26	81	281	441	722	2	4	0	69	109	98	2850	0	886	1008	945	2683	910	1077	1722	251	45	17.93%	252	61	75.79%	11	1008	2050	49.17%	956	1966	48.63%	715	1394	51.29%	1707	976	3917	1660	1451	713
8	82	14	52	0	2	4	4	6	184	306	-122	41	10	22	0	1	2	2	4	102	138	-36	41	4	30	0	1	2	2	2	82	168	-86	50	184	322	506	2	1	0	68	67	43	2162	0	710	734	696	2742	770	950	1963	277	47	16.97%	342	83	75.73%	3	1118	2598	43.03%	1310	2996	43.72%	540	1273	42.42%	1790	1214	2161	621	1032	490
8	82	14	52	0	2	4	4	6	184	306	-122	41	10	22	0	1	2	2	4	102	138	-36	41	4	30	0	1	2	2	2	82	168	-86	50	184	322	506	2	1	0	68	67	43	2162	0	710	734	696	2742	770	950	1963	277	47	16.97%	342	83	75.73%	3	1118	2598	43.03%	1310	2996	43.72%	540	1273	42.42%	1790	1214	2161	621	1032	490
9	82	21	39	0	3	2	9	8	200	253	-53	41	11	19	0	1	0	7	3	112	122	-10	41	10	20	0	2	2	2	5	88	131	-43	76	200	344	544	2	3	0	59	61	68	2015	0	663	659	659	2456	671	830	1887	288	54	18.75%	295	52	82.37%	4	1055	2515	41.95%	1173	2823	41.55%	485	1208	40.15%	1828	1228	2129	632	1063	510
9	82	21	39	0	3	2	9	8	200	253	-53	41	11	19	0	1	0	7	3	112	122	-10	41	10	20	0	2	2	2	5	88	131	-43	76	200	344	544	2	3	0	59	61	68	2015	0	663	659	659	2456	671	830	1887	288	54	18.75%	295	52	82.37%	4	1055	2515	41.95%	1173	2823	41.55%	485	1208	40.15%	1828	1228	2129	632	1063	510
10	82	21	46	0	1	1	3	10	183	248	-65	41	14	19	0	1	1	2	4	101	110	-9	41	7	27	0	0	0	1	6	82	138	-56	61	183	328	511	1	4	0	58	74	47	2036	0	646	707	657	2429	702	637	1702	255	36	14.12%	276	59	78.62%	1	1078	2552	42.24%	1178	2781	42.36%	536	1242	43.16%	1911	1313	2034	610	1041	511
10	82	21	46	0	1	1	3	10	183	248	-65	41	14	19	0	1	1	2	4	101	110	-9	41	7	27	0	0	0	1	6	82	138	-56	61	183	328	511	1	4	0	58	74	47	2036	0	646	707	657	2429	702	637	1702	255	36	14.12%	276	59	78.62%	1	1078	2552	42.24%	1178	2781	42.36%	536	1242	43.16%	1911	1313	2034	610	1041	511
12	82	31	33	0	8	4	4	2	252	244	8	41	16	15	0	4	2	2	2	121	113	8	41	15	18	0	4	2	2	0	131	131	0	92	252	447	699	2	7	0	81	84	75	2629	0	854	889	851	2480	713	669	1665	310	68	21.94%	274	50	81.75%	2	1454	3020	48.15%	1460	2836	51.48%	626	1250	50.08%	2010	1397	1921	599	1040	525
12	82	31	33	0	8	4	4	2	252	244	8	41	16	15	0	4	2	2	2	121	113	8	41	15	18	0	4	2	2	0	131	131	0	92	252	447	699	2	7	0	81	84	75	2629	0	854	889	851	2480	713	669	1665	310	68	21.94%	274	50	81.75%	2	1454	3020	48.15%	1460	2836	51.48%	626	1250	50.08%	2010	1397	1921	599	1040	525
13	82	35	34	0	2	2	5	4	250	255	-5	41	14	21	0	1	2	1	2	119	136	-17	41	21	13	0	1	0	4	2	131	119	12	90	250	446	696	1	5	0	98	75	70	2450	0	793	828	804	2499	710	766	1663	320	59	18.44%	288	53	81.60%	1	1395	2882	48.40%	1353	2877	47.03%	627	1317	47.61%	1979	1380	1959	598	1040	519
13	82	35	34	0	2	2	5	4	250	255	-5	41	14	21	0	1	2	1	2	119	136	-17	41	21	13	0	1	0	4	2	131	119	12	90	250	446	696	1	5	0	98	75	70	2450	0	793	828	804	2499	710	766	1663	320	59	18.44%	288	53	81.60%	1	1395	2882	48.40%	1353	2877	47.03%	627	1317	47.61%	1979	1380	1959	598	1040	519
14	82	39	28	0	3	6	3	3	239	205	34	41	20	16	0	1	3	0	1	120	97	23	41	19	12	0	2	3	3	2	119	108	11	99	239	435	674	1	7	0	85	84	64	2414	0	766	820	801	2284	632	767	1837	337	63	18.69%	322	53	83.54%	5	1483	2864	51.78%	1427	2781	51.31%	609	1194	51.01%	1992	1380	1946	605	1026	513
14	82	39	28	0	3	6	3	3	239	205	34	41	20	16	0	1	3	0	1	120	97	23	41	19	12	0	2	3	3	2	119	108	11	99	239	435	674	1	7	0	85	84	64	2414	0	766	820	801	2284	632	767	1837	337	63	18.69%	322	53	83.54%	5	1483	2864	51.78%	1427	2781	51.31%	609	1194	51.01%	1992	1380	1946	605	1026	513
15	82	44	25	0	1	6	3	3	255	210	45	41	20	12	0	1	4	2	2	119	100	19	41	24	13	0	0	2	1	1	136	110	26	105	255	458	713	2	7	0	101	59	91	2413	0	809	769	815	2317	653	730	1889	316	59	18.67%	319	51	84.01%	2	1494	2838	52.64%	1448	2860	50.63%	628	1239	50.69%	1954	1350	1985	608	1026	510
15	82	44	25	0	1	6	3	3	255	210	45	41	20	12	0	1	4	2	2	119	100	19	41	24	13	0	0	2	1	1	136	110	26	105	255	458	713	2	7	0	101	59	91	2413	0	809	769	815	2317	653	730	1889	316	59	18.67%	319	51	84.01%	2	1494	2838	52.64%	1448	2860	50.63%	628	1239	50.69%	1954	1350	1985	608	1026	510
16	82	41	28	0	5	4	2	2	258	225	33	41	18	17	0	3	1	1	1	133	126	7	41	23	11	0	2	3	1	1	125	99	26	102	258	461	719	1	3	0	82	94	75	2513	0	835	811	851	2200	659	699	1793	310	55	17.74%	304	52	82.89%	4	1487	2947	50.46%	1364	2713	50.28%	679	1268	53.55%	1986	1384	1940	600	1026	511
16	82	41	28	0	5	4	2	2	258	225	33	41	18	17	0	3	1	1	1	133	126	7	41	23	11	0	2	3	1	1	125	99	26	102	258	461	719	1	3	0	82	94	75	2513	0	835	811	851	2200	659	699	1793	310	55	17.74%	304	52	82.89%	4	1487	2947	50.46%	1364	2713	50.28%	679	1268	53.55%	1986	1384	1940	600	1026	511
17	82	40	24	0	7	2	7	2	255	206	49	41	18	10	0	6	2	3	2	126	102	24	41	22	14	0	1	0	4	0	129	104	25	112	255	451	706	3	5	0	83	87	71	2519	0	795	835	840	2293	676	702	1764	314	56	17.83%	305	53	82.62%	3	1503	2877	52.24%	1386	2733	50.71%	634	1248	50.80%	1967	1362	1971	602	1037	514
17	82	40	24	0	7	2	7	2	255	206	49	41	18	10	0	6	2	3	2	126	102	24	41	22	14	0	1	0	4	0	129	104	25	112	255	451	706	3	5	0	83	87	71	2519	0	795	835	840	2293	676	702	1764	314	56	17.83%	305	53	82.62%	3	1503	2877	52.24%	1386	2733	50.71%	634	1248	50.80%	1967	1362	1971	602	1037	514
18	82	48	26	0	2	1	3	2	264	198	66	41	24	13	0	2	0	2	0	135	93	42	41	24	13	0	0	1	1	2	129	105	24	109	264	475	739	5	8	94	87	78	7	2523	810	849	841	43	2249	668	824	1843	291	51	17.53%	332	56	83.13%	3	1516	2854	53.12%	1433	2764	51.85%	654	1231	53.13%	1960	1363	1971	594	1017	504
Total Regular Season	1798	728	732	0	68	73	97	100	5244	5246	-2	901	352	357	0	42	44	52	54	2653	2575	78	897	376	375	0	26	29	45	46	2591	2671	-80	1913	5244	9159	14403	41	102	94	1721	1762	1509	53135	810	17179	17853	16771	53631	15696	17416	39127	6487	1175	18.11%	6520	1248	80.86%	89	28596	59034	48.44%	28523	59450	47.98%	13482	27793	48.51%	41783	28235	51824	17398	23942	11809
Playoff
12	7	3	4	0	0	0	0	0	18	18	0	3	1	2	0	0	0	0	0	7	8	-1	4	2	2	0	0	0	0	0	11	10	1	6	18	35	53	0	0	0	5	4	9	184	0	57	55	65	246	67	62	159	24	5	20.83%	24	5	79.17%	0	104	230	45.22%	131	284	46.13%	40	106	37.74%	158	106	180	54	93	45
12	7	3	4	0	0	0	0	0	18	18	0	3	1	2	0	0	0	0	0	7	8	-1	4	2	2	0	0	0	0	0	11	10	1	6	18	35	53	0	0	0	5	4	9	184	0	57	55	65	246	67	62	159	24	5	20.83%	24	5	79.17%	0	104	230	45.22%	131	284	46.13%	40	106	37.74%	158	106	180	54	93	45
14	10	4	6	0	0	0	0	0	24	26	-2	5	3	2	0	0	0	0	0	12	8	4	5	1	4	0	0	0	0	0	12	18	-6	8	24	44	68	0	2	0	6	10	8	280	0	95	104	76	276	86	93	225	47	8	17.02%	39	6	84.62%	0	162	348	46.55%	176	348	50.57%	70	147	47.62%	244	169	238	77	128	64
14	10	4	6	0	0	0	0	0	24	26	-2	5	3	2	0	0	0	0	0	12	8	4	5	1	4	0	0	0	0	0	12	18	-6	8	24	44	68	0	2	0	6	10	8	280	0	95	104	76	276	86	93	225	47	8	17.02%	39	6	84.62%	0	162	348	46.55%	176	348	50.57%	70	147	47.62%	244	169	238	77	128	64
15	9	5	4	0	0	0	0	0	26	22	4	5	3	2	0	0	0	0	0	14	10	4	4	2	2	0	0	0	0	0	12	12	0	10	26	48	74	0	1	0	8	7	9	248	0	65	74	90	254	89	104	208	44	5	11.36%	42	6	85.71%	0	170	326	52.15%	177	338	52.37%	59	136	43.38%	223	151	241	75	117	57
15	9	5	4	0	0	0	0	0	26	22	4	5	3	2	0	0	0	0	0	14	10	4	4	2	2	0	0	0	0	0	12	12	0	10	26	48	74	0	1	0	8	7	9	248	0	65	74	90	254	89	104	208	44	5	11.36%	42	6	85.71%	0	170	326	52.15%	177	338	52.37%	59	136	43.38%	223	151	241	75	117	57
Total Playoff	52	24	28	0	0	0	0	0	136	132	4	26	14	12	0	0	0	0	0	66	52	14	26	10	16	0	0	0	0	0	70	80	-10	48	136	254	390	0	6	0	38	42	52	1424	0	434	466	462	1552	484	518	1184	230	36	15.65%	210	34	83.81%	0	872	1808	48.23%	968	1940	49.90%	338	778	43.44%	1251	854	1321	414	678	334