Fantasy Hockey League du Québec

Sea Dogs
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

Show or Hide Column

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Marcus Foligno		X	X		100.00	90	88	81	73	87	62	97	62	40	62	59	83	25	69	70	0	74	68	0
2	Nate Thompson	X	X			100.00	76	54	92	69	77	65	91	61	88	60	57	85	25	75	78	0	80	67	0
3	Riley Nash	X		X		100.00	73	53	91	79	71	58	94	62	57	61	56	76	85	69	70	0	67	66	0
4	Joonas Donskoi		X	X		100.00	65	42	95	78	70	66	90	62	28	74	71	59	59	64	66	0	74	66	0
5	Jordan Schroeder	X		X		100.00	71	61	94	74	61	79	83	65	80	61	62	67	59	61	62	0	75	65	0
6	Curtis Lazar	X	X	X		100.00	76	74	81	72	74	74	77	65	80	59	64	70	61	64	65	0	80	65	0
7	Melker Karlsson	X		X		100.00	71	42	89	78	65	59	92	59	51	55	68	74	75	65	67	0	75	65	0
8	Jordan Nolan		X	X		100.00	81	45	72	73	80	51	87	64	25	62	55	69	25	67	69	0	75	63	0
9	Brendan Leipsic		X	X		100.00	73	42	88	71	65	66	77	72	50	71	60	56	25	59	59	0	68	63	0
10	Nathan Gerbe		X	X		100.00	63	58	73	73	58	62	62	67	50	65	60	65	57	68	69	0	75	62	0
11	Paul Bittner		X			100.00	82	80	87	65	80	66	68	62	50	62	57	68	54	44	44	0	46	61	0
12	Jarred Tinordi				X	100.00	82	88	69	65	88	76	84	49	25	39	43	65	41	48	48	0	67	62	0
13	Darren Raddysh				X	100.00	77	73	86	65	73	80	87	53	25	46	43	65	41	53	53	0	75	62	0
14	Rob O'Gara				X	100.00	76	81	63	70	81	70	77	47	25	37	41	61	39	44	44	0	67	59	0
Scratches
1	Adam Erne		X	X		100.00	89	66	82	72	78	57	82	62	41	65	60	70	75	56	56	0	63	64	0
2	Nicolas Deslauriers		X	X		100.00	93	71	86	71	79	56	77	57	25	56	56	63	25	65	65	0	25	61	0
3	Nick Lappin		X	X		100.00	80	44	99	75	66	66	85	65	57	50	55	61	25	49	49	0	20	60	0
4	Matthew Highmore		X	X		100.00	71	66	84	70	66	62	62	65	50	65	62	63	59	44	44	0	45	60	0
5	Jayden Halbgewachs (R)	X	X			100.00	65	55	89	65	55	79	84	60	75	57	58	59	55	44	44	0	20	59	0
6	Jeffrey Truchon-Viel (R)		X			100.00	68	71	61	64	71	73	79	53	50	47	54	58	51	44	44	0	20	56	0
7	Olivier Archambault		X			100.00	72	64	90	68	64	55	55	55	50	61	44	61	42	44	44	0	20	55	0
8	Jakub Jerabek				X	100.00	76	72	84	76	72	59	62	50	25	38	45	64	43	52	53	0	65	60	0

	TEAM AVERAGE					100.00	76	63	83	71	72	66	80	60	48	57	56	66	48	57	57	0	58	62

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	Antti Raanta	100.00	70	59	59	71	80	61	61	67	76	70	48	60	61	0	56	66	0
2	Aaron Dell	100.00	54	57	56	73	59	50	55	55	57	54	65	53	53	0	75	57	0
Scratches

	TEAM AVERAGE	100.00	62	58	58	72	70	56	58	61	67	62	57	57	57	0	66	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Randy Carlyle	90	94	75	61	63	68	75	CAN	58	7	300,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Joonas Donskoi	Rhinos (SJS)	LW/RW	65	18	30	48	6	12	64	97	149	55	107	12.08%	20	1195	18.39	6	6	12	31	221	3	181	5	0	40.00%	80	0	0	0.80	2	7	4	6	2
2	Marcus Foligno	Rhinos (SJS)	LW/RW	65	26	20	46	-10	82	232	141	215	67	152	12.09%	46	1321	20.33	14	16	30	76	282	4	214	3	2	52.50%	80	0	0	0.70	3	13	5	5	5
3	Melker Karlsson	Rhinos (SJS)	C/RW	65	19	24	43	5	26	111	95	197	54	135	9.64%	13	1017	15.66	3	7	10	47	224	0	0	3	3	52.94%	68	0	0	0.84	1	1	4	5	3
4	Darren Raddysh	Rhinos (SJS)	D	65	11	30	41	-4	144	200	78	104	45	65	10.58%	99	1540	23.70	7	12	19	74	297	1	197	1	2	0.00%	0	0	0	0.53	0	0	3	0	1
5	Adam Erne	Rhinos (SJS)	LW/RW	61	18	18	36	14	74	116	84	113	37	95	15.93%	7	736	12.07	0	0	0	0	0	0	1	1	1	41.38%	29	0	1	0.98	0	0	4	1	2
6	Jordan Schroeder	Rhinos (SJS)	C/RW	65	17	17	34	13	18	29	86	146	31	121	11.64%	29	941	14.49	0	0	0	0	2	1	96	1	2	61.46%	96	0	0	0.72	0	0	3	2	5
7	Jakub Jerabek	Rhinos (SJS)	D	62	10	23	33	18	48	114	43	87	22	58	11.49%	55	1211	19.54	10	5	15	70	220	0	183	4	0	0.00%	0	0	0	0.54	0	0	4	1	3
8	Jordan Nolan	Rhinos (SJS)	LW/RW	65	3	23	26	-1	104	139	43	41	14	21	7.32%	39	958	14.75	0	0	0	0	0	0	0	0	0	0.00%	6	0	0	0.54	0	0	3	1	0
9	Riley Nash	Rhinos (SJS)	C/RW	30	7	16	23	12	20	37	64	40	11	30	17.50%	3	455	15.19	1	5	6	9	119	0	0	1	0	54.32%	521	0	0	1.01	0	0	2	1	1
10	Nathan Gerbe	Rhinos (SJS)	LW/RW	65	8	5	13	1	10	40	48	63	20	50	12.70%	9	430	6.62	1	1	2	21	69	0	49	1	1	47.83%	46	1	0	0.60	0	0	0	1	1
11	Jarred Tinordi	Rhinos (SJS)	D	29	3	7	10	19	48	69	11	18	5	13	16.67%	23	565	19.49	0	2	2	12	113	0	108	1	0	0.00%	0	0	0	0.35	0	0	0	1	2
12	Rob O'Gara	Rhinos (SJS)	D	43	2	7	9	-4	46	76	19	16	1	12	12.50%	19	649	15.09	1	0	1	7	30	0	44	0	0	0.00%	0	1	0	0.28	0	0	0	0	0
13	Brendan Leipsic	Rhinos (SJS)	LW/RW	33	5	4	9	5	2	14	13	23	6	12	21.74%	4	168	5.11	0	0	0	0	0	0	0	0	0	55.56%	9	0	0	1.07	0	0	0	0	2
14	Nate Thompson	Rhinos (SJS)	C/LW	14	0	4	4	1	6	8	40	26	7	21	0.00%	7	251	17.93	0	2	2	13	69	0	39	0	0	72.28%	267	0	0	0.32	0	2	0	0	0
15	Matthew Nieto	Sea Dogs	LW/RW	9	1	2	3	1	0	5	23	17	3	15	5.88%	2	201	22.41	0	1	1	3	43	1	42	1	0	44.86%	107	0	0	0.30	0	2	0	1	1
16	Ryan Sproul	Sea Dogs	D	6	0	0	0	-1	2	6	7	2	1	2	0.00%	6	138	23.06	0	0	0	0	30	0	20	0	0	0.00%	0	0	0	0.00	0	0	0	0	0
17	Curtis Lazar	Rhinos (SJS)	C/LW/RW	1	0	0	0	0	2	1	2	0	0	0	0.00%	0	11	11.88	0	0	0	0	0	0	0	0	0	50.00%	6	0	0	0.00	0	0	0	0	0
Team Total or Average				743	148	230	378	75	644	1261	894	1257	379	909	11.77%	381	11795	15.88	43	57	100	363	1727	10	1180	22	11	55.89%	1315	2	1	0.64	6	25	32	25	28

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	Antti Raanta	Rhinos (SJS)	65	29	28	7	0.888	2.45	3853	6	3	157	1407	6	1	0.787	47	65	0	3	2	1
2	Aaron Dell	Rhinos (SJS)	4	0	1	0	0.907	2.75	109	0	0	5	54	0	0	0.000	0	0	65	0	0	0
Team Total or Average			69	29	29	7	0.889	2.45	3962	6	3	162	1461	6	1	0.787	47	65	65	3	2	1

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Remaining	Salary Average	Salary Ave Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Link
Aaron Dell (1 Way Contract)	Rhinos (SJS)	G	30	1989-05-04	No	200 Lbs	6 ft0	No	No	No	4	Pro & Farm	3,499,999$	631,944$	3,499,999$	631,944$	1,499,999$	270,833$	No	3,499,999$	3,499,999$	3,499,999$		Link / NHL Link
Adam Erne	Rhinos (SJS)	LW/RW	24	1995-04-20	No	214 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	167,014$	925,000$	167,014$	0$	0$	No					Link
Antti Raanta (1 Way Contract)	Rhinos (SJS)	G	30	1989-05-11	No	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,000,000$	180,556$	1,000,000$	180,556$	0$	0$	No					Link / NHL Link
Brendan Leipsic	Rhinos (SJS)	LW/RW	25	1994-05-19	No	180 Lbs	5 ft10	No	No	No	1	Pro & Farm	700,000$	126,389$	700,000$	126,389$	0$	0$	No					Link
Curtis Lazar (1 Way Contract)	Rhinos (SJS)	C/LW/RW	24	1995-02-02	No	209 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	126,389$	700,000$	126,389$	0$	0$	No					Link / NHL Link
Darren Raddysh (1 Way Contract)	Rhinos (SJS)	D	23	1996-02-28	No	200 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,300,000$	234,722$	1,300,000$	234,722$	0$	0$	No	1,300,000$				Link
Jakub Jerabek	Rhinos (SJS)	D	28	1991-05-12	No	200 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	167,014$	925,000$	167,014$	0$	0$	No	925,000$				Link
Jarred Tinordi	Rhinos (SJS)	D	27	1992-02-20	No	230 Lbs	6 ft6	No	No	No	2	Pro & Farm	850,000$	153,472$	850,000$	153,472$	0$	0$	No	850,000$				Link / NHL Link
Jayden Halbgewachs	Rhinos (SJS)	C/LW	22	1997-03-22	Yes	157 Lbs	5 ft8	No	No	No	3	Pro & Farm	792,500$	143,090$	792,500$	143,090$	0$	0$	No	792,500$	792,500$			Link
Jeffrey Truchon-Viel	Rhinos (SJS)	LW	22	1997-01-28	Yes	196 Lbs	6 ft0	No	No	No	3	Pro & Farm	780,000$	140,833$	780,000$	140,833$	0$	0$	No	780,000$	780,000$			Link
Joonas Donskoi (1 Way Contract)	Rhinos (SJS)	LW/RW	27	1992-04-13	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	3,900,000$	704,167$	3,900,000$	704,167$	1,900,000$	343,056$	No					Link / NHL Link
Jordan Nolan	Rhinos (SJS)	LW/RW	30	1989-06-22	No	219 Lbs	6 ft3	No	No	No	1	Pro & Farm	950,000$	171,528$	950,000$	171,528$	0$	0$	No					Link / NHL Link
Jordan Schroeder	Rhinos (SJS)	C/RW	28	1990-09-28	No	170 Lbs	5 ft9	No	No	No	2	Pro & Farm	700,000$	126,389$	700,000$	126,389$	0$	0$	No	700,000$				Link / NHL Link
Marcus Foligno (1 Way Contract)	Rhinos (SJS)	LW/RW	27	1991-08-10	No	232 Lbs	6 ft3	No	No	No	3	Pro & Farm	2,875,000$	519,097$	3,270,312$	590,473$	1,270,312$	229,362$	No	2,875,000$	4,456,250$			Link / NHL Link
Matthew Highmore	Rhinos (SJS)	LW/RW	23	1996-02-27	No	181 Lbs	5 ft11	No	No	No	2	Pro & Farm	817,500$	147,604$	817,500$	147,604$	0$	0$	No	817,500$				Link
Melker Karlsson (1 Way Contract)	Rhinos (SJS)	C/RW	28	1990-07-18	No	182 Lbs	5 ft10	No	No	No	5	Pro & Farm	2,000,000$	361,111$	2,550,000$	460,417$	550,000$	99,306$	No	2,000,000$	3,100,000$	3,100,000$	3,100,000$	Link / NHL Link
Nate Thompson (1 Way Contract)	Rhinos (SJS)	C/LW	34	1984-10-05	No	214 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,650,000$	297,917$	1,650,000$	297,917$	0$	0$	No	1,650,000$				Link / NHL Link
Nathan Gerbe	Rhinos (SJS)	LW/RW	31	1987-07-24	No	178 Lbs	5 ft5	No	No	No	2	Pro & Farm	700,000$	126,389$	700,000$	126,389$	0$	0$	No	700,000$				Link
Nick Lappin	Rhinos (SJS)	LW/RW	26	1992-11-01	No	175 Lbs	6 ft1	No	No	No	2	Pro & Farm	842,500$	152,118$	842,500$	152,118$	0$	0$	No	842,500$				Link
Nicolas Deslauriers (1 Way Contract)	Rhinos (SJS)	LW/RW	28	1991-02-22	No	215 Lbs	6 ft1	No	No	No	3	Pro & Farm	950,000$	171,528$	1,080,625$	195,113$	0$	0$	No	950,000$	1,472,500$			Link / NHL Link
Olivier Archambault (1 Way Contract)	Rhinos (SJS)	LW	26	1993-02-17	No	177 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,200,000$	216,667$	1,200,000$	216,667$	0$	0$	No	1,200,000$				Link
Paul Bittner	Rhinos (SJS)	LW	22	1996-11-03	No	214 Lbs	6 ft4	No	No	No	1	Pro & Farm	800,000$	144,444$	800,000$	144,444$	0$	0$	No					Link
Riley Nash (1 Way Contract)	Rhinos (SJS)	C/RW	30	1989-05-09	No	190 Lbs	6 ft1	No	No	No	4	Pro & Farm	2,750,000$	496,528$	3,355,000$	605,764$	1,355,000$	244,653$	No	2,750,000$	4,262,500$	4,262,500$		Link / NHL Link
Rob O'Gara	Rhinos (SJS)	D	25	1993-07-06	No	215 Lbs	6 ft4	No	No	No	2	Pro & Farm	925,000$	167,014$	925,000$	167,014$	0$	0$	No	925,000$				Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	26.67	197 Lbs	6 ft0	2.17	1,355,521$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Marcus Foligno	30	1	2	2
2	Joonas Donskoi		Melker Karlsson	30	1	2	2
3			Jordan Schroeder	25	1	2	2
4	Jordan Nolan			15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Darren Raddysh	30	1	2	2
2			30	1	2	2
3		Jordan Nolan	25	1	2	2
4		Darren Raddysh	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Marcus Foligno	55	1	2	2
2	Joonas Donskoi		Melker Karlsson	45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Darren Raddysh	55	1	2	2
2			45	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Marcus Foligno	55	1	2	2
2		Joonas Donskoi	45	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Darren Raddysh	55	1	2	2
2			45	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		55	1	2	2		Darren Raddysh	55	1	2	2
2	Marcus Foligno	45	1	2	2			45	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Marcus Foligno	55	1	2	2
2		Joonas Donskoi	45	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Darren Raddysh	55	1	2	2
2			45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		Marcus Foligno		Darren Raddysh

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		Marcus Foligno		Darren Raddysh

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nathan Gerbe, , Jordan Schroeder	Nathan Gerbe,	Jordan Schroeder

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, Marcus Foligno, , Joonas Donskoi,

Goalie
#1 : Antti Raanta, #2 : Aaron Dell

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Aces	4	1	1	0	0	0	2	0	12	8	4	2	1	0	0	0	0	1	0	7	3	4	2	0	1	0	0	0	1	0	5	5	0	6	0.750	12	17	29	0	0	50	47	57	13	106	448	410	456	65	83	24	40	91	22	2	9.09%	20	5	75.00%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
2	Aeros	4	0	3	0	0	1	0	0	6	15	-9	2	0	1	0	0	1	0	0	2	5	-3	2	0	2	0	0	0	0	0	4	10	-6	1	0.125	6	9	15	1	0	50	47	57	13	56	448	410	456	65	86	25	38	50	19	2	10.53%	19	3	84.21%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
3	Bengals	3	2	1	0	0	0	0	0	10	10	0	1	1	0	0	0	0	0	0	4	3	1	2	1	1	0	0	0	0	0	6	7	-1	4	0.667	10	17	27	0	0	50	47	57	13	69	448	410	456	65	66	24	34	77	8	3	37.50%	17	4	76.47%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
4	Blazers	3	0	0	0	0	0	2	1	7	6	1	2	0	0	0	0	0	1	1	4	4	0	1	0	0	0	0	0	1	0	3	2	1	5	0.833	7	7	14	0	0	50	47	57	13	53	448	410	456	65	72	12	48	61	13	1	7.69%	24	4	83.33%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
5	Boys	2	0	2	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	0	1	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	50	47	57	13	32	448	410	456	65	37	8	14	34	11	0	0.00%	7	3	57.14%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
6	Broncos	3	1	2	0	0	0	0	0	7	10	-3	1	1	0	0	0	0	0	0	3	1	2	2	0	2	0	0	0	0	0	4	9	-5	2	0.333	7	13	20	0	0	50	47	57	13	43	448	410	456	65	113	22	38	76	18	2	11.11%	19	5	73.68%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
7	Citadels	3	2	1	0	0	0	0	0	13	7	6	1	0	1	0	0	0	0	0	2	3	-1	2	2	0	0	0	0	0	0	11	4	7	4	0.667	13	20	33	0	0	50	47	57	13	82	448	410	456	65	77	27	32	43	15	2	13.33%	16	1	93.75%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
8	Cobras	4	1	1	0	1	0	1	0	15	12	3	2	1	1	0	0	0	0	0	7	6	1	2	0	0	0	1	0	1	0	8	6	2	6	0.750	15	22	37	0	0	50	47	57	13	77	448	410	456	65	94	36	48	77	29	2	6.90%	24	4	83.33%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
9	Devil Dogs	3	2	1	0	0	0	0	0	7	5	2	2	1	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	4	1	3	4	0.667	7	11	18	0	0	50	47	57	13	50	448	410	456	65	51	11	36	68	16	3	18.75%	18	2	88.89%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
10	Gamblers	3	1	2	0	0	0	0	0	7	9	-2	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	1	3	-2	2	0.333	7	11	18	0	0	50	47	57	13	50	448	410	456	65	70	18	24	42	15	3	20.00%	12	3	75.00%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
11	Gators	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	3	2	1	2	1.000	3	2	5	0	0	50	47	57	13	22	448	410	456	65	30	9	6	25	3	0	0.00%	3	0	100.00%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
12	Indians	3	0	3	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	2	4	-2	2	0	2	0	0	0	0	0	0	5	-5	0	0.000	2	4	6	0	0	50	47	57	13	50	448	410	456	65	58	23	28	62	22	0	0.00%	14	6	57.14%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
13	Jets	2	0	2	0	0	0	0	0	3	7	-4	2	0	2	0	0	0	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	4	7	0	0	50	47	57	13	37	448	410	456	65	54	10	22	42	2	1	50.00%	11	3	72.73%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
14	Liberty	2	0	1	0	0	0	0	1	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	2	0	1	0	0	0	0	1	2	4	-2	1	0.250	2	4	6	0	0	50	47	57	13	44	448	410	456	65	42	15	34	39	11	1	9.09%	17	2	88.24%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
15	Mystery	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	3	5	0	0	50	47	57	13	24	448	410	456	65	22	7	14	22	6	1	16.67%	7	1	85.71%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
16	Oil Kings	4	2	1	0	0	0	0	1	17	13	4	2	1	1	0	0	0	0	0	12	10	2	2	1	0	0	0	0	0	1	5	3	2	5	0.625	17	28	45	0	1	50	47	57	13	100	448	410	456	65	72	15	32	77	23	6	26.09%	16	4	75.00%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
17	Olympic	3	2	0	0	0	0	0	1	13	6	7	1	0	0	0	0	0	0	1	3	4	-1	2	2	0	0	0	0	0	0	10	2	8	5	0.833	13	20	33	0	1	50	47	57	13	106	448	410	456	65	54	16	14	70	8	2	25.00%	7	1	85.71%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
18	Pitbulls	5	1	3	0	0	0	1	0	6	9	-3	3	1	1	0	0	0	1	0	3	2	1	2	0	2	0	0	0	0	0	3	7	-4	4	0.400	6	8	14	0	1	50	47	57	13	80	448	410	456	65	107	29	52	89	26	2	7.69%	26	4	84.62%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
19	Redhawks	3	2	1	0	0	0	0	0	9	7	2	1	0	1	0	0	0	0	0	3	4	-1	2	2	0	0	0	0	0	0	6	3	3	4	0.667	9	14	23	0	0	50	47	57	13	42	448	410	456	65	71	21	36	55	14	4	28.57%	18	4	77.78%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
20	Rivercats	3	2	1	0	0	0	0	0	9	6	3	2	2	0	0	0	0	0	0	7	3	4	1	0	1	0	0	0	0	0	2	3	-1	4	0.667	9	16	25	0	0	50	47	57	13	85	448	410	456	65	50	18	20	49	16	4	25.00%	10	1	90.00%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
21	Sun Devils	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	6	7	13	0	0	50	47	57	13	52	448	410	456	65	44	8	18	55	8	3	37.50%	9	2	77.78%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
22	Surfers	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	0	0	0	0	0	50	47	57	13	20	448	410	456	65	22	9	10	24	6	0	0.00%	5	0	100.00%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
	Total	65	21	29	0	1	1	7	6	162	169	-7	32	11	13	0	0	1	3	4	78	82	-4	33	10	16	0	1	0	4	2	84	87	-3	65	0.500	162	247	409	1	3	50	47	57	13	1334	448	410	456	65	1462	404	658	1271	327	45	13.76%	329	65	80.24%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
24	Winterhawks	3	0	2	0	0	0	0	1	4	12	-8	2	0	1	0	0	0	0	1	3	8	-5	1	0	1	0	0	0	0	0	1	4	-3	1	0.167	4	7	11	0	0	50	47	57	13	54	448	410	456	65	87	17	20	43	16	1	6.25%	10	3	70.00%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
	_Since Last GM Reset	65	21	29	0	1	1	7	6	162	169	-7	32	11	13	0	0	1	3	4	78	82	-4	33	10	16	0	1	0	4	2	84	87	-3	65	0.500	162	247	409	1	3	50	47	57	13	1334	448	410	456	65	1462	404	658	1271	327	45	13.76%	329	65	80.24%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
	_Vs Conference	65	21	29	0	1	1	7	6	162	169	-7	32	11	13	0	0	1	3	4	78	82	-4	33	10	16	0	1	0	4	2	84	87	-3	65	0.500	162	247	409	1	3	50	47	57	13	1334	448	410	456	65	1462	404	658	1271	327	45	13.76%	329	65	80.24%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
	_Vs Division	27	5	14	0	1	1	4	2	62	78	-16	14	4	6	0	0	1	2	1	36	38	-2	13	1	8	0	1	0	2	1	26	40	-14	23	0.426	62	95	157	1	2	50	47	57	13	523	448	410	456	65	587	169	258	489	157	15	9.55%	129	29	77.52%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
65	65	L3	162	247	409	1334	1462	404	658	1271	1	3

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
65	21	29	1	1	7	6	162	169

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	11	13	0	1	3	4	78	82

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
33	10	16	1	0	4	2	84	87

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	7	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
327	45	13.76%	329	65	80.24%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
448	410	456	65	50	47	57	13

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
613	1640	37.38%	577	1887	30.58%	286	906	31.57%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1533	1095	1682	470	750	359

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	Link
1 - 2019-10-22	3	Pitbulls	0	Rhinos	1	W			BoxScore
4 - 2019-10-25	24	Rivercats	1	Rhinos	3	W			BoxScore
6 - 2019-10-27	38	Rhinos	3	Oil Kings	0	W			BoxScore
8 - 2019-10-29	48	Rhinos	1	Bengals	4	L			BoxScore
9 - 2019-10-30	58	Rhinos	0	Indians	2	L			BoxScore
11 - 2019-11-01	69	Devil Dogs	3	Rhinos	1	L			BoxScore
13 - 2019-11-03	85	Pitbulls	1	Rhinos	2	W	X	X	BoxScore
15 - 2019-11-05	98	Gamblers	2	Rhinos	4	W			BoxScore
16 - 2019-11-06	104	Rhinos	1	Liberty	2	L	X	X	BoxScore
18 - 2019-11-08	120	Rhinos	2	Broncos	3	L			BoxScore
21 - 2019-11-11	132	Aces	2	Rhinos	3	W	X	X	BoxScore
22 - 2019-11-12	143	Rhinos	3	Aces	2	W	X	X	BoxScore
24 - 2019-11-14	154	Cobras	3	Rhinos	2	L			BoxScore
26 - 2019-11-16	163	Rhinos	4	Cobras	3	W	X		BoxScore
28 - 2019-11-18	177	Rhinos	3	Citadels	2	W			BoxScore
30 - 2019-11-20	188	Aces	1	Rhinos	4	W			BoxScore
32 - 2019-11-22	200	Rhinos	2	Aces	3	L			BoxScore
34 - 2019-11-24	214	Devil Dogs	1	Rhinos	2	W			BoxScore
37 - 2019-11-27	228	Oil Kings	3	Rhinos	7	W			BoxScore
39 - 2019-11-29	241	Rhinos	2	Boys	3	L			BoxScore
41 - 2019-12-01	250	Blazers	3	Rhinos	2	L	X	X	BoxScore
43 - 2019-12-03	263	Rhinos	3	Blazers	2	W	X	X	BoxScore
44 - 2019-12-04	271	Cobras	3	Rhinos	5	W			BoxScore
46 - 2019-12-06	284	Rhinos	4	Cobras	3	W	X	X	BoxScore
48 - 2019-12-08	296	Citadels	3	Rhinos	2	L			BoxScore
50 - 2019-12-10	312	Broncos	1	Rhinos	3	W			BoxScore
52 - 2019-12-12	323	Rhinos	8	Citadels	2	W			BoxScore
54 - 2019-12-14	333	Rhinos	2	Rivercats	3	L			BoxScore
55 - 2019-12-15	343	Rhinos	1	Liberty	2	L			BoxScore
57 - 2019-12-17	356	Rhinos	0	Indians	3	L			BoxScore
58 - 2019-12-18	359	Olympic	4	Rhinos	3	L	X	X	BoxScore
60 - 2019-12-20	379	Rhinos	4	Devil Dogs	1	W			BoxScore
62 - 2019-12-22	388	Mystery	3	Rhinos	2	L	X	X	BoxScore
65 - 2019-12-25	403	Rhinos	2	Broncos	6	L			BoxScore
66 - 2019-12-26	412	Sun Devils	1	Rhinos	2	W			BoxScore
68 - 2019-12-28	424	Rhinos	2	Redhawks	1	W			BoxScore
69 - 2019-12-29	433	Aeros	2	Rhinos	0	L			BoxScore
71 - 2019-12-31	448	Rhinos	5	Bengals	3	W			BoxScore
73 - 2020-01-02	459	Oil Kings	7	Rhinos	5	L			BoxScore
74 - 2020-01-03	475	Rivercats	2	Rhinos	4	W			BoxScore
76 - 2020-01-05	483	Rhinos	0	Surfers	2	L			BoxScore
77 - 2020-01-06	494	Bengals	3	Rhinos	4	W			BoxScore
79 - 2020-01-08	510	Redhawks	4	Rhinos	3	L			BoxScore
81 - 2020-01-10	523	Rhinos	4	Redhawks	2	W			BoxScore
83 - 2020-01-12	530	Rhinos	6	Olympic	0	W			BoxScore
84 - 2020-01-13	542	Jets	4	Rhinos	2	L			BoxScore
86 - 2020-01-15	554	Rhinos	4	Olympic	2	W			BoxScore
88 - 2020-01-17	568	Jets	3	Rhinos	1	L			BoxScore
90 - 2020-01-19	584	Rhinos	2	Aeros	3	L			BoxScore
92 - 2020-01-21	595	Aeros	3	Rhinos	2	L	X		BoxScore
94 - 2020-01-23	608	Blazers	1	Rhinos	2	W	X	X	BoxScore
96 - 2020-01-25	616	Rhinos	2	Oil Kings	3	L	X	X	BoxScore
97 - 2020-01-26	630	Indians	4	Rhinos	2	L			BoxScore
99 - 2020-01-28	642	Rhinos	1	Winterhawks	4	L			BoxScore
100 - 2020-01-29	656	Winterhawks	5	Rhinos	1	L			BoxScore
102 - 2020-01-31	669	Rhinos	2	Pitbulls	4	L			BoxScore
103 - 2020-02-01	678	Rhinos	4	Sun Devils	2	W			BoxScore
105 - 2020-02-03	691	Winterhawks	3	Rhinos	2	L	X	X	BoxScore
107 - 2020-02-05	704	Rhinos	1	Gamblers	3	L			BoxScore
108 - 2020-02-06	714	Boys	1	Rhinos	0	L			BoxScore
110 - 2020-02-08	727	Rhinos	2	Aeros	7	L			BoxScore
112 - 2020-02-10	736	Rhinos	3	Gators	2	W	X	X	BoxScore
113 - 2020-02-11	744	Gamblers	4	Rhinos	2	L			BoxScore
115 - 2020-02-13	759	Rhinos	1	Pitbulls	3	L			BoxScore
117 - 2020-02-15	766	Pitbulls	1	Rhinos	0	L			BoxScore
119 - 2020-02-17	779	Rhinos	-	Gamblers	-
120 - 2020-02-18	788	Liberty	-	Rhinos	-
122 - 2020-02-20	807	Gators	-	Rhinos	-
Trade Deadline --- Trades can’t be done after this day is simulated!
124 - 2020-02-22	818	Rhinos	-	Winterhawks	-
125 - 2020-02-23	831	Surfers	-	Rhinos	-
128 - 2020-02-26	848	Rhinos	-	Mystery	-
130 - 2020-02-28	854	Indians	-	Rhinos	-
131 - 2020-02-29	866	Rhinos	-	Mystery	-
133 - 2020-03-02	878	Gators	-	Rhinos	-
136 - 2020-03-05	893	Rhinos	-	Sun Devils	-
138 - 2020-03-07	902	Boys	-	Rhinos	-
139 - 2020-03-08	910	Rhinos	-	Jets	-
143 - 2020-03-12	934	Surfers	-	Rhinos	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	70	20
Attendance	32,523	17,599
Attendance PCT	50.82%	55.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
7	1566 - 52.21%	82,143$	2,628,590$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
951,541$	856,600$	856,600$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
5,949$	702,149$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
575,004$	26	8,032$	208,832$

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
2019	65	21	29	0	1	1	7	6	162	169	-7	32	11	13	0	0	1	3	4	78	82	-4	33	10	16	0	1	0	4	2	84	87	-3	65	162	247	409	1	3	50	47	57	13	1334	448	410	456	65	1462	404	658	1271	327	45	13.76%	329	65	80.24%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359
Total Regular Season	65	21	29	0	1	1	7	6	162	169	-7	32	11	13	0	0	1	3	4	78	82	-4	33	10	16	0	1	0	4	2	84	87	-3	65	162	247	409	1	3	50	47	57	13	1334	448	410	456	65	1462	404	658	1271	327	45	13.76%	329	65	80.24%	0	613	1640	37.38%	577	1887	30.58%	286	906	31.57%	1533	1095	1682	470	750	359