LHSDB - Ligue de hockey simulee des debiles barbus

Monsters
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Depth
Transactions
Records

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	David Pastrnak			X		100.00	66	37	78	86	73	87	89	83	56	85	92	59	88	67	74	79	50	76	0
2	Evander Kane		X			100.00	87	62	51	80	82	85	86	77	72	74	81	69	80	77	76	73	50	74	0
3	Ryan Nugent-Hopkins (A)	X				100.00	62	39	82	79	71	86	83	77	80	82	78	81	79	73	76	78	50	74	0
4	Phillip Danault	X				100.00	76	49	80	73	78	83	90	72	89	80	67	86	71	73	75	68	50	73	0
5	Blake Coleman	X	X	X		100.00	92	42	71	69	72	82	87	68	73	65	75	87	69	76	71	53	50	71	0
6	Evgenii Dadonov			X		100.00	56	39	84	77	69	83	89	76	52	77	78	59	76	79	73	52	50	71	0
7	Dylan Strome	X				100.00	54	42	87	76	83	81	84	75	82	79	72	63	76	65	66	88	50	70	0
8	Jonathan Drouin		X			100.00	64	39	83	79	74	81	72	78	69	77	71	62	80	69	66	86	50	70	0
9	Frank Vatrano	X	X	X		100.00	82	39	81	70	72	77	89	68	56	69	74	72	68	71	69	42	50	69	0
10	Oskar Lindblom		X			100.00	70	38	87	72	76	77	80	71	55	67	73	69	72	67	64	56	50	68	0
11	Frans Nielsen	X				100.00	70	39	89	67	75	79	84	66	82	69	61	74	67	86	76	31	50	68	0
12	Johan Larsson	X	X			100.00	80	43	80	65	73	82	84	64	85	63	61	80	63	75	68	57	50	67	0
13	Dougie Hamilton				X	100.00	82	43	74	77	98	87	80	76	30	78	79	75	56	73	74	72	50	75	0
14	Oliver Ekman-Larsson (C)				X	100.00	85	38	73	76	80	90	88	74	30	78	72	71	56	77	85	71	50	74	0
15	Nate Schmidt				X	100.00	58	39	82	75	73	88	81	74	30	79	70	83	55	77	69	36	50	73	0
16	Christopher Tanev				X	100.00	58	42	80	63	80	85	84	62	30	74	56	90	49	79	72	34	50	71	0
17	Carl Gunnarsson				X	100.00	57	41	87	63	80	85	73	62	30	67	60	81	52	84	74	26	50	69	0
18	Dan Hamhuis (A)				X	100.00	68	44	78	63	78	80	82	61	30	68	50	74	46	88	78	36	50	68	0
Scratches
1	Nick Cousins	X		X		100.00	80	39	80	68	69	74	87	66	75	70	62	68	69	73	67	56	50	67	0
2	Will Butcher				X	100.00	58	39	88	69	70	84	86	68	30	77	61	59	55	69	67	56	50	66	0

	TEAM AVERAGE					100.00	70	42	80	72	76	83	84	71	57	74	70	73	66	75	72	58	50	71

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	Tuukka Rask	99.00	97	95	93	79	96	95	97	96	95	97	96	82	87	52	50	90	0
2	Carter Hart	100.00	89	95	93	77	88	87	89	88	87	89	88	63	67	73	50	83	0
Scratches

	TEAM AVERAGE	99.50	93	95	93	78	92	91	93	92	91	93	92	73	77	63	50	87

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Bob Boughner	83	81	84	80	74	69	76	CAN	49	3	1,000,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Ryan Nugent-Hopkins	Columbus Jackets	C	59	19	35	54	9	10	0	12	161	193	71	142	9.84%	16	1136	19.27	6	9	15	54	186	0	0	0	0	50	2	1	50.77%	1436	0	0	0.95	0	3	0	0	0	3	2	4
2	David Pastrnak	Columbus Jackets	RW	61	27	27	54	7	14	0	43	88	221	71	145	12.22%	6	1166	19.12	5	9	14	38	200	0	0	0	0	17	7	1	45.88%	85	0	1	0.93	1	4	0	0	0	4	5	5
3	Nate Schmidt	Columbus Jackets	D	59	13	33	46	8	12	0	42	76	103	30	71	12.62%	92	1425	24.16	4	9	13	52	193	0	1	1	1	207	3	2	0.00%	0	0	0	0.65	0	0	0	0	0	3	1	4
4	Phillip Danault	Columbus Jackets	C	61	18	26	44	13	44	10	105	201	153	47	119	11.76%	20	1282	21.02	3	9	12	33	180	0	0	0	6	243	1	0	56.06%	1773	0	1	0.69	0	2	0	1	1	4	5	3
5	Evander Kane	Columbus Jackets	LW	61	21	20	41	9	83	5	256	65	166	44	135	12.65%	8	1122	18.40	5	7	12	38	197	0	0	0	0	6	2	2	50.70%	71	0	2	0.73	2	4	0	0	1	4	3	2
6	Blake Coleman	Columbus Jackets	C/LW/RW	59	19	19	38	-1	66	0	175	160	132	34	84	14.39%	20	1154	19.56	7	6	13	36	155	0	2	2	7	246	1	4	46.74%	1273	0	0	0.66	0	1	0	0	0	3	3	3
7	Oliver Ekman-Larsson	Columbus Jackets	D	58	7	30	37	-1	88	0	157	60	86	34	51	8.14%	50	1224	21.11	4	9	13	52	190	0	0	0	1	59	1	1	0.00%	0	0	0	0.60	0	0	0	0	0	0	5	0
8	Jonathan Drouin	Columbus Jackets	LW	54	11	19	30	14	12	0	43	66	95	30	71	11.58%	3	860	15.93	1	5	6	17	133	0	0	0	0	1	2	0	45.31%	64	0	0	0.70	0	4	0	0	0	2	2	2
9	Evgenii Dadonov	Columbus Jackets	RW	60	8	21	29	17	4	0	14	64	117	30	91	6.84%	2	913	15.22	0	5	5	16	85	0	0	0	0	0	0	0	48.44%	64	1	0	0.64	1	3	0	0	0	2	1	2
10	Frank Vatrano	Columbus Jackets	C/LW/RW	61	14	14	28	7	36	0	128	67	116	26	60	12.07%	10	951	15.60	4	4	8	17	87	0	0	0	7	210	3	1	39.19%	74	0	0	0.59	0	1	0	0	0	1	0	1
11	Oskar Lindblom	Columbus Jackets	LW	61	13	13	26	11	6	0	45	56	92	24	77	14.13%	4	797	13.07	0	1	1	4	26	0	0	0	2	93	2	0	38.18%	55	0	1	0.65	0	1	0	0	0	2	0	2
12	Dougie Hamilton	Columbus Jackets	D	60	4	22	26	-10	76	0	173	61	106	34	89	3.77%	57	1353	22.55	2	7	9	62	194	0	0	0	1	137	0	0	0.00%	0	0	0	0.38	0	0	0	0	0	0	0	3
13	Dylan Strome	Columbus Jackets	C	61	7	18	25	4	17	5	7	93	99	19	62	7.07%	9	748	12.27	1	1	2	4	20	0	0	0	1	40	2	1	45.75%	894	0	0	0.67	0	2	1	0	0	2	1	0
14	Christopher Tanev	Columbus Jackets	D	60	4	21	25	4	24	0	53	72	55	20	38	7.27%	89	1282	21.38	4	6	10	30	129	0	0	0	0	199	1	1	0.00%	0	0	0	0.39	0	0	0	0	0	1	0	0
15	Carl Gunnarsson	Columbus Jackets	D	60	3	15	18	8	14	0	25	46	27	10	18	11.11%	74	994	16.58	0	0	0	0	2	0	0	0	0	190	0	0	0.00%	0	0	0	0.36	0	0	0	0	0	0	0	1
16	Dan Hamhuis	Columbus Jackets	D	55	1	11	12	8	31	5	81	38	24	1	22	4.17%	57	971	17.66	0	1	1	2	20	0	0	0	0	148	1	0	0.00%	0	0	0	0.25	0	0	1	0	0	1	0	0
17	Will Butcher	Columbus Jackets	D	23	1	7	8	8	4	0	15	17	14	2	6	7.14%	13	430	18.72	0	1	1	4	59	0	0	0	0	15	1	0	0.00%	0	0	0	0.37	0	0	0	0	0	0	0	0
18	Frans Nielsen	Columbus Jackets	C	58	2	5	7	-5	8	0	26	66	58	9	25	3.45%	11	531	9.16	0	0	0	0	3	1	0	1	8	127	0	1	54.60%	467	0	0	0.26	0	0	0	0	0	0	0	0
19	Nick Cousins	Columbus Jackets	C/RW	50	2	1	3	-9	10	0	30	27	38	7	14	5.26%	2	346	6.93	0	0	0	1	0	0	0	0	0	0	0	0	64.00%	25	0	0	0.17	0	0	0	0	0	0	0	1
20	Johan Larsson	Columbus Jackets	C/LW	35	0	1	1	-2	8	0	9	26	23	9	25	0.00%	1	253	7.24	0	0	0	0	0	0	1	1	1	52	0	0	54.92%	122	0	0	0.08	0	0	0	0	0	0	0	0
21	Brendan Leipsic	Monsters (Clb)	LW	7	0	1	1	-1	2	0	6	3	2	0	4	0.00%	0	79	11.32	0	0	0	0	0	0	0	0	0	0	0	0	10.00%	10	0	0	0.25	0	0	0	0	0	0	0	0
22	Casey Mittelstadt	Monsters (Clb)	C	5	0	0	0	-2	0	0	0	2	3	0	3	0.00%	0	34	6.91	0	0	0	0	0	0	0	0	0	0	0	0	80.00%	5	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				1128	194	359	553	96	569	25	1445	1515	1923	552	1352	10.09%	544	19059	16.90	46	89	135	460	2069	1	4	5	35	2050	29	15	50.72%	6418	1	5	0.58	4	25	2	1	2	32	28	33

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	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Tuukka Rask	Columbus Jackets	54	28	16	7	0.914	2.45	3136	2	2	128	1494	1	1	0.808	26	51	10	5	2	3
2	Carter Hart	Columbus Jackets	11	5	4	1	0.879	3.61	549	0	0	33	272	0	0	0.000	0	10	51	0	0	0
Team Total or Average			65	33	20	8	0.909	2.62	3685	2	2	161	1766	1	1	0.808	26	61	61	5	2	3

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
Blake Coleman	C/LW/RW	29	1991-11-28	No	200 Lbs	5 ft11	No	No	No	4	UFA	Pro & Farm	2,500,000$	2,500,000$	604,839$	No	Link / NHL Link
Carl Gunnarsson	D	34	1986-11-09	No	198 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	1,000,000$	1,000,000$	241,935$	No	Link / NHL Link
Carter Hart	G	22	1998-08-13	No	181 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	500,000$	500,000$	120,968$	No	Link / NHL Link
Christopher Tanev	D	31	1989-12-20	No	197 Lbs	6 ft2	No	No	No	4	UFA	Pro & Farm	3,260,000$	3,260,000$	788,710$	No	Link / NHL Link
Dan Hamhuis	D	38	1982-12-13	No	204 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	2,000,111$	2,000,111$	483,898$	No	Link / NHL Link
David Pastrnak	RW	24	1996-05-25	No	194 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	3,500,000$	3,500,000$	846,774$	No	Link / NHL Link
Dougie Hamilton	D	27	1993-06-17	No	229 Lbs	6 ft6	No	No	No	2	RFA	Pro & Farm	2,500,000$	2,500,000$	604,839$	No	Link / NHL Link
Dylan Strome	C	23	1997-03-07	No	200 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	900,000$	900,000$	217,742$	No	Link / NHL Link
Evander Kane	LW	29	1991-08-02	No	210 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	5,000,000$	5,000,000$	1,209,677$	No	Link / NHL Link
Evgenii Dadonov	RW	31	1989-03-12	No	185 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	4,500,000$	4,500,000$	1,088,710$	No	Link / NHL Link
Frank Vatrano	C/LW/RW	26	1994-03-14	No	197 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	1,000,000$	1,000,000$	241,935$	No	Link / NHL Link
Frans Nielsen	C	36	1984-04-24	No	186 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	600,000$	600,000$	145,161$	No	Link / NHL Link
Johan Larsson	C/LW	28	1992-07-25	No	204 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	500,000$	500,000$	120,968$	No	Link / NHL Link
Jonathan Drouin	LW	25	1995-03-28	No	197 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	2,500,000$	2,500,000$	604,839$	No	Link / NHL Link
Nate Schmidt	D	29	1991-07-16	No	194 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	2,500,000$	2,500,000$	604,839$	No	Link / NHL Link
Nick Cousins	C/RW	27	1993-07-20	No	183 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	300,000$	300,000$	72,581$	No	Link / NHL Link
Oliver Ekman-Larsson	D	29	1991-07-17	No	200 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	3,500,000$	3,500,000$	846,774$	No	Link / NHL Link
Oskar Lindblom	LW	24	1996-08-15	No	191 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	500,000$	500,000$	120,968$	No	Link / NHL Link
Phillip Danault	C	27	1993-02-24	No	201 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	2,500,000$	2,500,000$	604,839$	No	Link / NHL Link
Ryan Nugent-Hopkins	C	27	1993-04-12	No	184 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	4,900,000$	4,900,000$	1,185,484$	No	Link / NHL Link
Tuukka Rask	G	33	1987-03-10	No	176 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	5,000,000$	5,000,000$	1,209,677$	No	Link / NHL Link
Will Butcher	D	26	1995-01-06	No	190 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	500,000$	500,000$	120,968$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	28.41	196 Lbs	6 ft1	2.09	2,270,914$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
49,960,111$	35,560,000$	18,160,000$	10,660,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Evander Kane	Ryan Nugent-Hopkins	David Pastrnak	35	0	2	3
2	Jonathan Drouin	Phillip Danault	Evgenii Dadonov	35	0	2	3
3	Oskar Lindblom	Dylan Strome	Blake Coleman	20	1	2	2
4	Johan Larsson	Frans Nielsen	Frank Vatrano	10	1	3	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dougie Hamilton	Oliver Ekman-Larsson	30	0	2	3
2	Nate Schmidt	Christopher Tanev	30	1	2	2
3	Carl Gunnarsson	Dan Hamhuis	25	1	2	2
4	Dougie Hamilton	Oliver Ekman-Larsson	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Evander Kane	Ryan Nugent-Hopkins	David Pastrnak	57	0	0	5
2	Blake Coleman	Phillip Danault	Evgenii Dadonov	43	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dougie Hamilton	Oliver Ekman-Larsson	55	0	0	5
2	Nate Schmidt	Christopher Tanev	45	1	1	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Phillip Danault	Blake Coleman	60	1	4	0
2	Johan Larsson	Frank Vatrano	40	1	4	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nate Schmidt	Christopher Tanev	55	1	4	0
2	Dougie Hamilton	Carl Gunnarsson	45	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Blake Coleman	60	0	5	0	Nate Schmidt	Christopher Tanev	60	0	5	0
2	Phillip Danault	40	0	5	0	Carl Gunnarsson	Dan Hamhuis	40	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ryan Nugent-Hopkins	David Pastrnak	60	1	2	2
2	Phillip Danault	Evander Kane	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dougie Hamilton	Oliver Ekman-Larsson	55	1	2	2
2	Nate Schmidt	Christopher Tanev	45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Evander Kane	Ryan Nugent-Hopkins	David Pastrnak	Dougie Hamilton	Oliver Ekman-Larsson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Ryan Nugent-Hopkins	Phillip Danault	Blake Coleman	Nate Schmidt	Christopher Tanev

Extra Forwards
Normal	PowerPlay	Penalty Kill
Evgenii Dadonov, Frank Vatrano, David Pastrnak	Evgenii Dadonov, David Pastrnak	Ryan Nugent-Hopkins

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Nate Schmidt, Oliver Ekman-Larsson, Dougie Hamilton	Christopher Tanev	Carl Gunnarsson, Christopher Tanev

Penalty Shots
David Pastrnak, Evander Kane, Ryan Nugent-Hopkins, Jonathan Drouin, Evgenii Dadonov

Goalie
#1 : Tuukka Rask, #2 : Carter Hart

Custom OT Lines Forwards
Phillip Danault, David Pastrnak, , , Evander Kane, Frans Nielsen, Frans Nielsen, , Oskar Lindblom, Frank Vatrano, Dylan Strome

Custom OT Lines Defensemen
Christopher Tanev, Nate Schmidt, , Dan Hamhuis, Carl Gunnarsson

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
61	74	L2	183	328	511	1754	1767	502	567	1382	1	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
61	31	20	0	6	2	2	183	164

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	14	11	0	4	1	2	85	81

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	17	9	0	2	1	0	98	83

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	2	0	2	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
226	38	16.81%	249	40	83.94%	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
577	564	598	41	72	46	63	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1116	2080	53.65%	1100	2156	51.02%	466	906	51.43%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1440	991	1493	453	761	375

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	RI	Link
3 - 2020-10-20	16	Toronto Leafs	2	Columbus Jackets	8	W				BoxScore
4 - 2020-10-21	22	Columbus Jackets	4	Pittsburgh Penguins	2	W				BoxScore
6 - 2020-10-23	35	Buffalo Sabres	2	Columbus Jackets	1	L				BoxScore
10 - 2020-10-27	59	Anaheim Ducks	6	Columbus Jackets	1	L				BoxScore
11 - 2020-10-28	69	Columbus Jackets	0	Carolina Hurricanes	2	L				BoxScore
15 - 2020-11-01	94	Dallas Stars	3	Columbus Jackets	2	L				BoxScore
17 - 2020-11-03	110	Columbus Jackets	4	Chicago Blackhawks	3	W	X	X		BoxScore
18 - 2020-11-04	120	New York Islanders	2	Columbus Jackets	3	W				BoxScore
20 - 2020-11-06	129	Columbus Jackets	8	Toronto Leafs	3	W				BoxScore
23 - 2020-11-09	148	Carolina Hurricanes	3	Columbus Jackets	1	L				BoxScore
25 - 2020-11-11	165	Columbus Jackets	3	Philadelphia Flyers	4	L	X			BoxScore
29 - 2020-11-15	189	Edmonton Oilers	2	Columbus Jackets	1	L				BoxScore
31 - 2020-11-17	200	Columbus Jackets	3	St-Louis Blues	1	W				BoxScore
32 - 2020-11-18	212	Calgary Flames	2	Columbus Jackets	3	W	X	X		BoxScore
35 - 2020-11-21	227	Vegas Knights	2	Columbus Jackets	4	W				BoxScore
37 - 2020-11-23	246	Columbus Jackets	1	Phoenix Coyotes	3	L				BoxScore
39 - 2020-11-25	260	Columbus Jackets	1	Colorado Avalanche	3	L			R3	BoxScore
42 - 2020-11-28	273	Columbus Jackets	4	Montreal Canadiens	2	W				BoxScore
45 - 2020-12-01	297	St-Louis Blues	4	Columbus Jackets	3	L				BoxScore
49 - 2020-12-05	322	Montreal Canadiens	3	Columbus Jackets	2	L	X			BoxScore
51 - 2020-12-07	337	Détroit Red Wings	2	Columbus Jackets	4	W				BoxScore
53 - 2020-12-09	352	Columbus Jackets	3	Winnipeg Jets	1	W				BoxScore
55 - 2020-12-11	369	Ottawa Senators	0	Columbus Jackets	2	W				BoxScore
57 - 2020-12-13	384	Philadelphia Flyers	2	Columbus Jackets	0	L				BoxScore
59 - 2020-12-15	400	Pittsburgh Penguins	2	Columbus Jackets	3	W				BoxScore
60 - 2020-12-16	410	Columbus Jackets	2	New York Islanders	1	W				BoxScore
63 - 2020-12-19	429	Phoenix Coyotes	6	Columbus Jackets	5	L				BoxScore
65 - 2020-12-21	444	New York Rangers	4	Columbus Jackets	2	L				BoxScore
67 - 2020-12-23	458	Columbus Jackets	5	Florida Panthers	4	W				BoxScore
69 - 2020-12-25	469	Columbus Jackets	2	Washington Capitals	7	L				BoxScore
72 - 2020-12-28	490	Columbus Jackets	5	Pittsburgh Penguins	3	W				BoxScore
74 - 2020-12-30	501	Columbus Jackets	2	Ottawa Senators	4	L				BoxScore
76 - 2021-01-01	521	Washington Capitals	2	Columbus Jackets	1	L	X			BoxScore
77 - 2021-01-02	529	Columbus Jackets	5	Détroit Red Wings	3	W				BoxScore
79 - 2021-01-04	541	Los Angeles Kings	3	Columbus Jackets	2	L	X	X		BoxScore
81 - 2021-01-06	561	New Jersey Devils	4	Columbus Jackets	1	L				BoxScore
83 - 2021-01-08	573	Columbus Jackets	6	New York Islanders	3	W				BoxScore
87 - 2021-01-12	585	Columbus Jackets	4	Washington Capitals	5	L	X			BoxScore
89 - 2021-01-14	604	Chicago Blackhawks	3	Columbus Jackets	1	L				BoxScore
91 - 2021-01-16	619	Florida Panthers	2	Columbus Jackets	4	W				BoxScore
93 - 2021-01-18	627	Columbus Jackets	2	Boston Bruins	4	L				BoxScore
95 - 2021-01-20	642	San Jose Sharks	0	Columbus Jackets	3	W				BoxScore
97 - 2021-01-22	662	Columbus Jackets	3	Los Angeles Kings	1	W				BoxScore
98 - 2021-01-23	674	Columbus Jackets	5	Anaheim Ducks	4	W				BoxScore
100 - 2021-01-25	688	Columbus Jackets	4	San Jose Sharks	2	W				BoxScore
102 - 2021-01-27	700	Columbus Jackets	4	Vegas Knights	2	W				BoxScore
105 - 2021-01-30	719	Boston Bruins	1	Columbus Jackets	3	W				BoxScore
107 - 2021-02-01	733	Carolina Hurricanes	1	Columbus Jackets	3	W				BoxScore
109 - 2021-02-03	751	New Jersey Devils	5	Columbus Jackets	4	L	X	X		BoxScore
110 - 2021-02-04	758	Columbus Jackets	0	New York Rangers	1	L				BoxScore
113 - 2021-02-07	766	Winnipeg Jets	1	Columbus Jackets	2	W				BoxScore
123 - 2021-02-17	792	Columbus Jackets	6	Buffalo Sabres	4	W				BoxScore
124 - 2021-02-18	807	Columbus Jackets	4	Montreal Canadiens	2	W				BoxScore
126 - 2021-02-20	818	Florida Panthers	3	Columbus Jackets	2	L	X			BoxScore
129 - 2021-02-23	841	Détroit Red Wings	2	Columbus Jackets	3	W				BoxScore
130 - 2021-02-24	851	Colorado Avalanche	1	Columbus Jackets	5	W			R3	BoxScore
132 - 2021-02-26	863	Tampa Lightning	3	Columbus Jackets	2	L	X			BoxScore
135 - 2021-03-01	880	Columbus Jackets	3	Buffalo Sabres	2	W				BoxScore
136 - 2021-03-02	893	New York Rangers	3	Columbus Jackets	4	W				BoxScore
138 - 2021-03-04	912	Columbus Jackets	3	New Jersey Devils	4	L				BoxScore
140 - 2021-03-06	920	Columbus Jackets	2	Philadelphia Flyers	3	L				BoxScore
142 - 2021-03-08	936	Philadelphia Flyers	-	Columbus Jackets	-
144 - 2021-03-10	955	Columbus Jackets	-	Nashville Predators	-
146 - 2021-03-12	967	Ottawa Senators	-	Columbus Jackets	-
147 - 2021-03-13	978	Columbus Jackets	-	Minnesota Wild	-
Trade Deadline --- Trades can’t be done after this day is simulated!
150 - 2021-03-16	995	Minnesota Wild	-	Columbus Jackets	-
152 - 2021-03-18	1013	Vancouver Canucks	-	Columbus Jackets	-
155 - 2021-03-21	1030	Columbus Jackets	-	Calgary Flames	-
158 - 2021-03-24	1058	Columbus Jackets	-	Edmonton Oilers	-
159 - 2021-03-25	1064	Columbus Jackets	-	Vancouver Canucks	-
163 - 2021-03-29	1088	Pittsburgh Penguins	-	Columbus Jackets	-
165 - 2021-03-31	1105	Nashville Predators	-	Columbus Jackets	-
167 - 2021-04-02	1118	Columbus Jackets	-	Boston Bruins	-
170 - 2021-04-05	1141	Washington Capitals	-	Columbus Jackets	-
172 - 2021-04-07	1155	Columbus Jackets	-	Toronto Leafs	-
174 - 2021-04-09	1171	Columbus Jackets	-	New Jersey Devils	-
175 - 2021-04-10	1178	Columbus Jackets	-	New York Rangers	-
178 - 2021-04-13	1199	Columbus Jackets	-	Tampa Lightning	-
179 - 2021-04-14	1212	Columbus Jackets	-	Dallas Stars	-
181 - 2021-04-16	1226	New York Islanders	-	Columbus Jackets	-
184 - 2021-04-19	1249	Tampa Lightning	-	Columbus Jackets	-
185 - 2021-04-20	1255	Columbus Jackets	-	Carolina Hurricanes	-

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	181,120	151,878	60,936	121,242	30,356
Attendance PCT	94.33%	94.92%	95.21%	94.72%	94.86%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
9	17048 - 94.71%	603,290$	19,305,277$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
36,493,677$	49,960,111$	13,900,000$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
49,960,111$	35,508,920$	0$	22	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
5,429,609$	45	273,979$	12,329,055$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
13,360,239$	49,960,111$	129,819,092$	122,380,004$

Depth Chart

Left Wing

Center

Right Wing

Evander Kane	AGE:29	PO:73	OV:74
Blake Coleman	AGE:29	PO:53	OV:71
Jonathan Drouin	AGE:25	PO:86	OV:70
Frank Vatrano	AGE:26	PO:42	OV:69
Oskar Lindblom	AGE:24	PO:56	OV:68
Johan Larsson	AGE:28	PO:57	OV:67
Brendan Leipsic	AGE:26	PO:63	OV:62
Eric Robinson	AGE:25	PO:51	OV:61
Brayden Burke	AGE:24	PO:62	OV:60
Jonah Gadjovich	AGE:22	PO:71	OV:59

Ryan Nugent-Hopkins	AGE:27	PO:78	OV:74
Phillip Danault	AGE:27	PO:68	OV:73
Blake Coleman	AGE:29	PO:53	OV:71
Dylan Strome	AGE:23	PO:88	OV:70
Frank Vatrano	AGE:26	PO:42	OV:69
Frans Nielsen	AGE:36	PO:31	OV:68
Johan Larsson	AGE:28	PO:57	OV:67
Nick Cousins	AGE:27	PO:56	OV:67
Casey Mittelstadt	AGE:22	PO:87	OV:64
Daniel Audette	AGE:24	PO:53	OV:60
*Jake Leschyshyn	AGE:21	PO:68	OV:56

David Pastrnak	AGE:24	PO:79	OV:76
Blake Coleman	AGE:29	PO:53	OV:71
Evgenii Dadonov	AGE:31	PO:52	OV:71
Frank Vatrano	AGE:26	PO:42	OV:69
Nick Cousins	AGE:27	PO:56	OV:67
David Kase	AGE:23	PO:58	OV:60
Ryan Haggerty	AGE:27	PO:58	OV:60
Max Veronneau	AGE:25	PO:56	OV:60

Defense #1

Defense #2

Goalie

Dougie Hamilton	AGE:27	PO:72	OV:75
Oliver Ekman-Larsson	AGE:29	PO:71	OV:74
Nate Schmidt	AGE:29	PO:36	OV:73
Christopher Tanev	AGE:31	PO:34	OV:71
Carl Gunnarsson	AGE:34	PO:26	OV:69
Dan Hamhuis	AGE:38	PO:36	OV:68
Will Butcher	AGE:26	PO:56	OV:66

Logan Day	AGE:26	PO:59	OV:63
Kyle Burroughs	AGE:25	PO:59	OV:61
*Leon Gawanke	AGE:21	PO:57	OV:61
Josiah Didier	AGE:27	PO:53	OV:61
Jeremy Roy	AGE:23	PO:78	OV:60
Brennan Menell	AGE:23	PO:52	OV:60

Tuukka Rask	AGE:33	PO:52	OV:90
Carter Hart	AGE:22	PO:73	OV:83
Marcus Hogberg	AGE:26	PO:62	OV:72
Filip Gustavsson	AGE:22	PO:71	OV:67

Prospects

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

Prospect	Team Name	Draft Year	Overall Pick
Alex Vlasic	Columbus Jackets	15	50
Alexei Lipanov	Columbus Jackets	13	80
Bulat Shafigullin	Columbus Jackets	14	105
Carson Focht	Columbus Jackets	15	164
Cole Hults	Columbus Jackets	13	166
Filip Westerlund	Columbus Jackets	13	109
Jonny Tychonick	Columbus Jackets	14	74
Kasper Bjorkqvist	Columbus Jackets	12	121
Ryan Suzuki	Columbus Jackets	15	19
Ty Smith	Columbus Jackets	14	13

Draft Picks

Year	R1	R2	R3	R4	R5	R6
16	Clb			Clb		Det Clb
17	Clb	Car Clb	Clb	Clb Ott		Clb
18	Clb			Clb	Clb	Clb
19	Clb	Clb	Clb	Clb	Clb
20	Clb	Clb	Clb	Clb	Clb	Clb

[2021-02-24 12:17:24] - TRADE : From Columbus Jackets to Carolina Hurricanes : Matt Dumba (72), Colin White (67), Madison Bowey (68), Y:16-RND:1-Nas, Y:17-RND:3-Chi.
[2021-02-24 12:17:24] - TRADE : From Carolina Hurricanes to Columbus Jackets : Dougie Hamilton (75), Blake Coleman (71), Y:17-RND:2-Car.
[2021-02-16 12:33:53] - Dan Hamhuis has been selected as assistant for Columbus Jackets.
[2021-02-16 12:33:52] - Evander Kane is no longer as assistant for Columbus Jackets.
[2021-02-16 12:33:38] - Oliver Ekman-Larsson has been selected as the team Captain for the Columbus Jackets.
[2021-02-16 12:33:37] - Dan Hamhuis is no longer captain for Columbus Jackets.
[2021-02-12 11:55:12] - TRADE : From Columbus Jackets to New York Islanders : Olli Maatta (71), Mattias Norlinder (P), Y:16-RND:1-Los.
[2021-02-12 11:55:12] - TRADE : From New York Islanders to Columbus Jackets : Oliver Ekman-Larsson (74).
[2021-02-06 11:01:13] - TRADE : From New York Islanders to Columbus Jackets : Johan Larsson (67).
[2021-02-06 11:01:13] - TRADE : From Columbus Jackets to New York Islanders : Y:17-RND:3-Dal, Y:17-RND:5-Clb.
[2021-02-06 11:00:32] - TRADE : From Washington Capitals to Columbus Jackets : Carl Gunnarsson (69).
[2021-02-06 11:00:32] - TRADE : From Columbus Jackets to Washington Capitals : Y:16-RND:3-PHX, Y:16-RND:6-New.
[2020-11-20 21:17:28] - Team Name Change : Jackets changed name to Columbus Jackets
[2020-11-20 19:11:41] - Team Name Change : Columbus Jackets changed name to Jackets
[2020-11-15 05:05:46] - TRADE : From Columbus Jackets to Tampa Lightning : Josh Brown (66).
[2020-11-12 05:08:01] - TRADE : From Columbus Jackets to Minnesota Wild : Y:16-RND:5-Clb.
[2020-11-12 05:08:01] - TRADE : From Minnesota Wild to Columbus Jackets : Frans Nielsen (68).
[2020-11-08 16:49:55] - TRADE : From Columbus Jackets to Nashville Predators : Matt Nieto (67).
[2020-11-08 16:49:55] - TRADE : From Nashville Predators to Columbus Jackets : Olli Maatta (71).
[2020-11-01 23:50:38] - Will O'Neill has been deleted from Columbus Jackets.
[2020-11-01 23:50:36] - Ryan Sproul has been deleted from Columbus Jackets.
[2020-11-01 23:50:33] - Oscar Lindberg has been deleted from Columbus Jackets.
[2020-11-01 23:50:31] - Olivier Archambault has been deleted from Columbus Jackets.
[2020-11-01 23:50:28] - Nikita Soshnikov has been deleted from Columbus Jackets.
[2020-11-01 23:50:24] - Marian Gaborik has been deleted from Columbus Jackets.
[2020-11-01 23:50:21] - Emil Pettersson has been deleted from Columbus Jackets.
[2020-11-01 23:50:18] - Eamon McAdam has been deleted from Columbus Jackets.
[2020-10-27 07:59:51] - Evander Kane has been selected as assistant for Columbus Jackets.
[2020-10-27 07:59:51] - Unknown Player is no longer as assistant for Columbus Jackets.
[2020-10-27 07:59:51] - Ryan Nugent-Hopkins has been selected as assistant for Columbus Jackets.
[2020-10-27 07:59:51] - Evgenii Dadonov is no longer as assistant for Columbus Jackets.
[2020-10-27 07:59:51] - Dan Hamhuis has been selected as captain for Columbus Jackets.
[2020-10-27 07:59:51] - Unknown Player is no longer captain for Columbus Jackets.
[2020-10-26 07:51:44] - TRADE : From Columbus Jackets to Boston Bruins : Chris Kreider (72), Y:16-RND:2-Clb.
[2020-10-26 07:51:44] - TRADE : From Boston Bruins to Columbus Jackets : Christopher Tanev (71), Y:16-RND:1-Los.

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
6	77	35	29	0	1	3	4	5	264	233	31	40	16	14	0	1	3	3	3	134	126	8	37	19	15	0	0	0	1	2	130	107	23	75	264	411	675	2	4	0	61	104	94	2695	0	821	957	906	2515	862	1025	1616	235	43	18.30%	239	59	75.31%	11	953	1934	49.28%	910	1871	48.64%	678	1316	51.52%	1607	920	3804	1615	1364	670
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
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
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
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	61	31	20	0	0	6	2	2	183	164	19	32	14	11	0	0	4	1	2	85	81	4	29	17	9	0	0	2	1	0	98	83	15	74	183	328	511	1	2	72	46	63	5	1754	577	564	598	41	1767	502	567	1382	226	38	16.81%	249	40	83.94%	1	1116	2080	53.65%	1100	2156	51.02%	466	906	51.43%	1440	991	1493	453	761	375
Total Regular Season	712	265	312	0	21	31	38	45	2036	2158	-122	359	131	152	0	11	20	21	24	1029	1053	-24	353	134	160	0	10	11	17	21	1007	1105	-98	698	2036	3502	5538	14	37	72	625	721	564	21005	577	6703	7200	6360	21855	6472	7288	15437	2499	453	18.13%	2537	510	79.90%	39	10660	22495	47.39%	10867	23087	47.07%	5282	11100	47.59%	16267	10802	21367	7398	9821	4829
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
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
Total Playoff	17	7	10	0	0	0	0	0	42	44	-2	8	4	4	0	0	0	0	0	19	16	3	9	3	6	0	0	0	0	0	23	28	-5	14	42	79	121	0	2	0	11	14	17	464	0	152	159	141	522	153	155	384	71	13	18.31%	63	11	82.54%	0	266	578	46.02%	307	632	48.58%	110	253	43.48%	402	275	419	131	221	109