DHL - Dynastie Hockey League

Canucks
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance

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	Tanner Pearson		X			100.00	79	89	60	80	76	65	60	66	40	74	58	68	41	72	72	66	40	66	0
2	Mathieu Olivier			X		100.00	92	99	67	64	81	61	78	57	29	62	58	75	25	57	58	65	40	63	0
3	Gabe Perreault (R)			X		100.00	52	48	89	72	71	64	63	72	25	65	65	74	68	44	44	95	40	63	0
4	Nils Aman (R)	X				100.00	67	42	91	64	67	63	85	58	67	64	57	76	25	52	52	65	40	62	0
5	Vasily Podkolzin		X	X		100.00	78	58	92	78	71	62	90	62	39	58	59	61	25	58	58	64	40	62	0
6	Zac Dalpe	X				100.00	76	44	95	70	72	52	82	56	68	62	66	65	25	60	60	66	40	62	0
7	Jonah Gadjovich		X	X		100.00	91	99	57	74	78	53	59	62	31	60	59	66	25	54	54	64	40	61	0
8	Linus Karlsson (R)	X				100.00	68	66	72	64	66	75	78	63	79	59	63	61	60	44	44	64	40	61	0
9	Arshdeep Bains (R)		X			100.00	74	68	87	65	68	79	84	60	50	59	57	63	54	44	44	63	40	61	0
10	Jiri Kulich (R)	X	X			100.00	72	64	91	64	64	70	72	64	80	59	65	63	62	44	44	65	40	61	0
11	Gabriel Fortier (R)		X			100.00	70	62	87	66	62	85	92	57	50	54	56	61	53	45	45	62	40	60	0
12	Aatu Raty (R)	X				100.00	78	44	91	63	70	51	74	59	76	57	64	60	25	45	45	64	40	59	0
13	Gustav Lindstrom				X	100.00	76	43	83	75	70	65	67	60	25	54	48	67	25	59	59	60	40	63	0
14	Christian Wolanin				X	100.00	61	41	91	78	70	68	73	66	25	54	47	63	25	60	60	59	40	63	0
15	Tobias Bjornfot				X	100.00	79	73	94	74	73	74	81	49	25	37	42	66	40	58	58	56	40	63	0
16	Ian Mitchell (R)				X	100.00	65	41	92	76	64	69	70	65	25	54	48	66	25	47	47	60	40	62	0
17	Jack Rathbone (R)				X	100.00	67	42	93	71	69	64	64	66	25	48	50	68	25	45	45	60	40	61	0
18	Lassi Thomson				X	100.00	75	70	85	72	70	71	75	55	25	50	46	63	44	45	45	58	40	61	0
19	Lukas Cormier (R)				X	100.00	70	65	80	67	65	74	79	57	25	49	51	60	48	44	44	59	40	60	0
Scratches
1	Danila Klimovich (R)			X		100.00	76	75	77	67	75	76	81	56	50	48	59	63	56	44	44	61	40	59	0
2	Isak Rosen (R)			X		100.00	68	58	92	66	58	72	75	60	50	57	58	60	55	44	44	62	40	59	0
3	Jett Woo (R)				X	100.00	70	73	62	58	73	67	72	49	25	40	42	58	40	44	44	52	40	56	0

	TEAM AVERAGE					100.00	73	62	83	69	70	67	75	60	42	56	55	65	40	50	50	63	40	61

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Thatcher Demko	100.00	68	78	75	81	77	60	69	70	67	68	95	61	62	70	40	68	0
2	Arturs Silovs (R)	100.00	56	43	54	83	59	59	60	63	63	62	30	44	44	58	40	59	0
Scratches
1	Olivier Rodrigue (R)	100.00	55	43	54	59	60	56	53	59	57	56	30	44	44	55	40	54	0

	TEAM AVERAGE	100.00	60	55	61	74	65	58	61	64	62	62	52	50	50	61	40	60

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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	GA	TA	HT	P/20	FW	FL	FT	S1	S2	S3
1	Tanner Pearson	Canucks (VAN)	LW	14	11	29	40	3	36	10	26	34	58	10	31	18.97%	16	351	25.08	4	10	14	15	42	1	1	2	1	53	1	0	32.38%	105	43	7	2	2.28	0	1	1	2	3	0
2	Zac Dalpe	Canucks (VAN)	C	14	22	11	33	1	2	0	17	8	39	18	25	56.41%	6	187	13.37	8	5	13	13	45	1	1	2	1	18	2	2	52.38%	210	19	1	3	3.53	0	0	0	2	2	1
3	Gabe Perreault	Canucks (VAN)	RW	14	17	14	31	-3	16	0	5	32	62	23	46	27.42%	15	290	20.75	5	6	11	14	46	1	1	2	1	16	0	1	15.00%	20	41	2	2	2.13	0	0	0	2	0	2
4	Nils Aman	Canucks (VAN)	C	14	8	13	21	-5	6	0	19	29	24	7	21	33.33%	19	268	19.20	3	5	8	8	46	0	0	0	0	0	1	1	45.16%	248	5	6	0	1.56	0	0	0	0	1	0
5	Mathieu Olivier	Canucks (VAN)	RW	14	7	14	21	5	134	70	31	33	35	17	22	20.00%	12	297	21.26	3	4	7	6	35	1	1	2	3	43	0	0	16.67%	12	7	12	0	1.41	2	5	7	0	0	0
6	Vasily Podkolzin	Canucks (VAN)	LW/RW	14	7	13	20	-6	11	5	28	18	48	17	39	14.58%	3	268	19.17	3	6	9	9	46	0	0	0	0	0	0	0	43.75%	16	45	7	0	1.49	0	1	0	0	0	1
7	Linus Karlsson	Canucks (VAN)	C	14	8	10	18	4	10	0	8	16	38	17	21	21.05%	1	143	10.23	0	0	0	0	0	0	0	0	0	0	1	0	55.75%	113	20	1	0	2.51	0	0	0	0	1	0
8	Arshdeep Bains	Canucks (VAN)	LW	14	7	5	12	5	2	0	8	7	24	8	16	29.17%	1	141	10.11	0	0	0	0	0	0	0	0	0	0	1	0	33.33%	3	14	2	0	1.70	0	0	0	0	1	0
9	Ian Mitchell	Canucks (VAN)	D	14	1	10	11	5	6	0	9	11	10	3	7	10.00%	18	290	20.76	1	1	2	3	39	0	1	1	0	36	0	0	0.00%	0	0	19	0	0.76	0	0	0	0	0	0
10	Jiri Kulich	Canucks (VAN)	C/LW	14	6	5	11	3	0	0	14	13	23	8	15	26.09%	8	210	15.00	0	0	0	0	0	2	0	2	5	56	0	0	57.01%	107	26	5	0	1.05	0	0	0	0	0	0
11	Jonah Gadjovich	Canucks (VAN)	LW/RW	14	4	5	9	2	91	65	18	16	19	6	7	21.05%	5	129	9.27	0	0	0	0	0	0	0	0	0	0	0	0	22.22%	9	12	5	0	1.39	6	3	4	0	0	0
12	Christian Wolanin	Canucks (VAN)	D	14	0	9	9	8	4	0	8	16	9	8	6	0.00%	13	291	20.81	0	2	2	1	40	0	0	0	0	36	0	0	0.00%	0	1	16	0	0.62	0	0	0	0	0	1
13	Gabriel Fortier	Canucks (VAN)	LW	14	1	7	8	4	0	0	7	2	5	1	3	20.00%	0	95	6.81	0	3	3	0	11	0	2	2	1	14	0	0	50.00%	4	5	0	0	1.68	0	0	0	0	0	0
14	Jack Rathbone	Canucks (VAN)	D	14	0	6	6	13	0	0	8	10	4	6	7	0.00%	11	174	12.43	0	0	0	0	0	0	2	2	0	11	0	0	0.00%	0	2	7	0	0.69	0	0	0	0	0	0
15	Tobias Bjornfot	Canucks (VAN)	D	14	0	5	5	-13	17	5	22	28	17	4	12	0.00%	26	385	27.51	0	1	1	2	53	0	0	0	0	63	0	0	0.00%	0	1	17	0	0.26	0	0	1	0	0	0
16	Aatu Raty	Canucks (VAN)	C	14	3	0	3	1	2	0	1	2	9	0	2	33.33%	0	28	2.05	1	0	1	0	3	0	0	0	0	3	1	0	100.00%	2	4	1	0	2.09	0	0	0	0	0	0
17	Lassi Thomson	Canucks (VAN)	D	14	0	3	3	12	11	5	4	7	5	1	3	0.00%	11	160	11.47	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	13	0	0.37	0	0	1	0	0	0
18	Gustav Lindstrom	Canucks (VAN)	D	14	0	2	2	-14	14	0	25	23	15	4	6	0.00%	28	344	24.58	0	0	0	2	53	0	0	0	0	58	0	0	0.00%	0	0	17	0	0.12	0	0	0	0	0	0
19	Lukas Cormier	Canucks (VAN)	D	14	0	0	0	4	4	0	0	4	1	0	0	0.00%	0	41	2.99	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	2	0	0.00	0	0	0	0	0	0
Team Total or Average				266	102	161	263	29	366	160	258	309	445	158	289	22.92%	193	4100	15.41	28	43	71	73	465	6	9	15	12	414	7	4	47.00%	849	247	140	7	1.28	8	10	14	6	8	5

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	GA	SA	SAR	A	ST	BG	S1
1	Thatcher Demko	Canucks (VAN)	14	7	1	1	0.831	6.12	735	75	443	258	1	14	0	1
2	Arturs Silovs	Canucks (VAN)	5	0	5	0	0.542	12.22	108	22	48	19	0	0	14	0
Team Total or Average			19	7	6	1	0.802	6.90	843	97	491	277	1	14	14	1

Show or Hide Column

Filter Tips

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

Player Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Aatu Raty	C	20	2002-11-14	Yes	185 Lbs	6 ft2	No	No	No	3	ELC	Farm Only	902,500$	0$	0$	No	Link
Arshdeep Bains	LW	22	2001-09-01	Yes	185 Lbs	6 ft0	No	No	No	3	ELC	Farm Only	816,667$	0$	0$	No	Link
Arturs Silovs	G	22	2001-03-21	Yes	203 Lbs	6 ft4	No	No	No	2	ELC	Farm Only	796,111$	0$	0$	No	Link
Christian Wolanin	D	28	1995-03-17	No	185 Lbs	6 ft2	No	No	No	1	UFA	Farm Only	750,000$	0$	0$	No	Link
Danila Klimovich	RW	20	2003-01-09	Yes	202 Lbs	6 ft2	No	No	No	3	ELC	Farm Only	894,167$	0$	0$	No	Link
Gabe Perreault	RW	25	1998-08-17 7:20:43 PM	Yes	180 Lbs	6 ft5	No	No	No	3	RFA	Farm Only		0$	0$	No
Gabriel Fortier	LW	23	2000-02-06	Yes	170 Lbs	5 ft10	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Gustav Lindstrom	D	24	1998-10-20	No	187 Lbs	6 ft2	No	No	No	1	RFA	Farm Only	850,000$	0$	0$	No	Link
Ian Mitchell	D	24	1999-01-18	Yes	175 Lbs	5 ft11	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Isak Rosen	RW	20	2003-03-15	Yes	156 Lbs	5 ft11	No	No	No	3	ELC	Farm Only	1,450,000$	0$	0$	No	Link
Jack Rathbone	D	24	1999-05-20	Yes	190 Lbs	5 ft11	No	No	No	2	RFA	Farm Only	850,000$	0$	0$	No	Link
Jett Woo	D	23	2000-07-27	Yes	200 Lbs	6 ft0	No	No	No	1	RFA	Farm Only	1,044,167$	0$	0$	No	Link
Jiri Kulich	C/LW	19	2004-04-14	Yes	178 Lbs	5 ft11	No	No	No	3	ELC	Farm Only	950,000$	0$	0$	No	Link
Jonah Gadjovich	LW/RW	24	1998-10-12	No	200 Lbs	6 ft2	No	No	No	1	RFA	Farm Only	750,000$	0$	0$	No	Link
Lassi Thomson	D	23	2000-09-24	No	192 Lbs	6 ft0	No	No	No	2	RFA	Farm Only	1,288,333$	0$	0$	No	Link
Linus Karlsson	C	23	1999-11-16	Yes	178 Lbs	6 ft1	No	No	No	2	RFA	Farm Only	925,000$	0$	0$	No	Link
Lukas Cormier	D	21	2002-03-27	Yes	180 Lbs	5 ft10	No	No	No	3	ELC	Farm Only	793,333$	0$	0$	No	Link
Mathieu Olivier	RW	26	1997-02-11	No	210 Lbs	6 ft2	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Nils Aman	C	23	2000-07-02	Yes	179 Lbs	6 ft2	No	No	No	2	RFA	Farm Only	925,000$	0$	0$	No	Link
Olivier Rodrigue	G	23	2000-07-06	Yes	156 Lbs	6 ft1	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Tanner Pearson	LW	31	1992-08-10	No	201 Lbs	6 ft1	No	No	No	2	UFA	Farm Only	3,250,000$	0$	0$	No	Link
Thatcher Demko	G	27	1995-12-07	No	192 Lbs	6 ft4	No	No	No	4	RFA	Farm Only	5,000,000$	0$	0$	No	Link
Tobias Bjornfot	D	22	2001-04-06	No	202 Lbs	6 ft0	No	No	No	1	ELC	Farm Only	1,052,500$	0$	0$	No	Link
Vasily Podkolzin	LW/RW	22	2001-06-24	No	190 Lbs	6 ft1	No	No	No	2	ELC	Farm Only	1,775,000$	0$	0$	No	Link
Zac Dalpe	C	33	1989-11-01	No	194 Lbs	6 ft2	No	No	No	1	UFA	Farm Only	750,000$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	23.68	187 Lbs	6 ft1	1.96	1,032,511$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tanner Pearson	Zac Dalpe	Mathieu Olivier	40	1	2	2
2	Vasily Podkolzin	Nils Aman	Gabe Perreault	30	1	2	2
3	Jonah Gadjovich	Jiri Kulich	Tanner Pearson	20	1	2	2
4	Arshdeep Bains	Linus Karlsson	Mathieu Olivier	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Tobias Bjornfot	Gustav Lindstrom	40	1	2	2
2	Christian Wolanin	Ian Mitchell	30	1	2	2
3	Lassi Thomson	Jack Rathbone	20	1	2	2
4	Lukas Cormier	Tobias Bjornfot	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tanner Pearson	Zac Dalpe	Mathieu Olivier	60	1	2	2
2	Vasily Podkolzin	Nils Aman	Gabe Perreault	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Tobias Bjornfot	Gustav Lindstrom	60	1	2	2
2	Christian Wolanin	Ian Mitchell	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tanner Pearson	Mathieu Olivier	60	1	2	2
2	Gabe Perreault	Zac Dalpe	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Tobias Bjornfot	Gustav Lindstrom	60	1	2	2
2	Christian Wolanin	Ian Mitchell	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Tanner Pearson	60	1	2	2	Tobias Bjornfot	Gustav Lindstrom	60	1	2	2
2	Mathieu Olivier	40	1	2	2	Christian Wolanin	Ian Mitchell	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tanner Pearson	Mathieu Olivier	60	1	2	2
2	Gabe Perreault	Zac Dalpe	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Tobias Bjornfot	Gustav Lindstrom	60	1	2	2
2	Christian Wolanin	Ian Mitchell	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Tanner Pearson	Zac Dalpe	Mathieu Olivier	Tobias Bjornfot	Gustav Lindstrom

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Tanner Pearson	Zac Dalpe	Mathieu Olivier	Tobias Bjornfot	Gustav Lindstrom

Extra Forwards
Normal	PowerPlay	Penalty Kill
Gabriel Fortier, Aatu Raty, Jiri Kulich	Gabriel Fortier, Aatu Raty	Jiri Kulich

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Lassi Thomson, Jack Rathbone, Lukas Cormier	Lassi Thomson	Jack Rathbone, Lukas Cormier

Penalty Shots
Tanner Pearson, Mathieu Olivier, Gabe Perreault, Zac Dalpe, Vasily Podkolzin

Goalie
#1 : Thatcher Demko, #2 : Arturs Silovs

Custom OT Lines Forwards
Tanner Pearson, Mathieu Olivier, Gabe Perreault, Zac Dalpe, Vasily Podkolzin, Nils Aman, Nils Aman, Jiri Kulich, Linus Karlsson, Jonah Gadjovich, Arshdeep Bains

Custom OT Lines Defensemen
Tobias Bjornfot, Gustav Lindstrom, Christian Wolanin, Ian Mitchell, Lassi Thomson

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
14	15	W1	102	161	263	445	491	193	366	258	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	6	6	1	1	0	0	102	97

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	3	0	1	0	0	52	51

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	3	1	0	0	0	50	46

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	4	1	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
71	28	39.44%	73	30	58.90%	6

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
144	149	151	1	42	31	28	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
113	246	45.93%	131	286	45.80%	155	316	49.05%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
298	185	332	116	212	107

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2023-09-28	6	Condors	4	Canucks	6	W		BoxScore
3 - 2023-09-30	23	Canucks	12	Barracuda	7	W		BoxScore
4 - 2023-10-01	31	Canucks	2	Silver Knights	5	L		BoxScore
6 - 2023-10-03	55	Reign	11	Canucks	7	L		BoxScore
7 - 2023-10-04	72	Barracuda	9	Canucks	4	L		BoxScore
9 - 2023-10-06	84	Canucks	6	Roadrunners	11	L		BoxScore
10 - 2023-10-07	99	Canucks	10	Condors	5	W		BoxScore
14 - 2023-10-11	122	Silver Knights	4	Canucks	3	L	X	BoxScore
16 - 2023-10-13	141	Gulls	5	Canucks	13	W		BoxScore
19 - 2023-10-16	165	Roadrunners	10	Canucks	6	L		BoxScore
20 - 2023-10-17	176	Canucks	7	Reign	6	W	X	BoxScore
22 - 2023-10-19	196	Wranglers	8	Canucks	13	W		BoxScore
23 - 2023-10-20	199	Canucks	6	Gulls	11	L		BoxScore
26 - 2023-10-23	222	Canucks	7	Wranglers	1	W		BoxScore

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
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,581,278$	2,581,278$	0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

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
6	14	6	6	0	1	1	0	0	102	97	5	7	3	3	0	0	1	0	0	52	51	1	7	3	3	0	1	0	0	0	50	46	4	15	102	161	263	0	0	42	31	28	1	445	144	149	151	1	491	193	366	258	71	28	39.44%	73	30	58.90%	6	113	246	45.93%	131	286	45.80%	155	316	49.05%	298	185	332	116	212	107
Total Regular Season	14	6	6	0	1	1	0	0	102	97	5	7	3	3	0	0	1	0	0	52	51	1	7	3	3	0	1	0	0	0	50	46	4	15	102	161	263	0	0	42	31	28	1	445	144	149	151	1	491	193	366	258	71	28	39.44%	73	30	58.90%	6	113	246	45.93%	131	286	45.80%	155	316	49.05%	298	185	332	116	212	107