Stanley Cup Winners Hockey League

OTTAWA Senators
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat
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	Michael Raffl	0		X			100.00	69	42	77	72	71	81	93	68	47	65	67	69	72	64	57	35	90	71	0
2	Jakub Vrana	0		X			100.00	60	41	81	74	70	80	90	67	30	68	67	59	70	54	52	85	89	69	0
3	Nic Dowd	0	X				100.00	72	42	77	71	75	76	73	60	71	61	62	65	71	55	53	41	89	66	0
4	Matt Puempel	0		X			100.00	64	42	74	60	75	72	79	65	50	65	63	60	63	53	52	78	89	65	0
5	Jordan Schroeder	0	X		X		100.00	58	42	77	63	60	68	86	61	44	63	61	60	63	57	54	68	89	64	0
6	Andrew Poturalski	0	X				100.00	59	42	73	60	61	62	93	61	67	60	61	60	61	50	50	43	89	62	0
7	Andrew Mangiapane	0		X			100.00	57	42	75	62	62	71	66	66	30	65	65	59	65	50	50	49	89	62	0
8	Sam Anas (R)	0	X		X		100.00	48	41	76	60	52	64	87	64	50	64	63	60	63	50	50	42	90	62	0
9	Jordan Greenway (R)	0		X			100.00	92	40	79	60	92	60	23	60	30	60	60	60	60	50	55	72	91	61	0
10	Nicklas Jensen	0			X		100.00	52	37	73	69	81	49	51	63	30	53	60	54	58	60	47	71	91	59	0
11	Daniel Audette	0	X				100.00	51	45	66	60	58	62	73	58	67	58	60	60	60	50	50	44	87	59	0
12	Kurtis Gabriel	0			X		100.00	66	44	69	60	84	50	59	53	50	53	53	60	53	51	51	62	81	58	0
13	Vince Dunn (R)	0				X	100.00	60	42	84	66	72	79	94	75	30	62	62	63	67	53	52	70	90	68	0
14	Andrej Sustr	0				X	100.00	57	42	80	63	92	73	61	70	30	58	61	66	67	63	57	36	89	66	0
15	Casey Nelson	0				X	100.00	61	42	81	60	71	69	94	62	30	53	54	66	64	52	51	42	89	63	0
16	Travis Dermott	0				X	100.00	67	44	81	59	74	68	82	65	30	60	53	63	61	51	51	77	90	63	0
17	Duncan Siemens	0				X	100.00	65	46	71	53	81	57	78	57	30	49	49	82	58	51	53	82	89	61	0
18	Matt Tennyson	0				X	100.00	64	44	73	54	77	61	82	57	30	48	48	64	55	55	53	36	89	60	0
Scratches
1	Alex Formenton (R)	0		X			100.00	50	40	79	62	65	52	20	53	53	53	53	60	54	50	50	74	36	53	0
2	Kenney Morrison	0				X	100.00	54	41	77	50	78	45	27	53	30	48	44	60	50	50	50	42	26	51	0

	TEAM AVERAGE					100.00	61	42	76	62	73	65	71	62	41	58	58	63	62	53	52	57	83	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	Carter Hutton	100.00	82	80	80	81	82	80	84	82	82	81	78	60	71	26	89	71	0
2	Dylan Ferguson (R)	100.00	65	56	56	78	65	30	65	66	66	66	62	50	58	50	90	55	0
Scratches

	TEAM AVERAGE	100.00	74	68	68	80	74	55	75	74	74	74	70	55	65	38	90	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
mig	60	60	60	60	61	61	99	CAN	35	4	500,000$

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	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	Michael Raffl	BELLEVILLE Senators (OTW)	LW	78	72	59	131	75	30	0	241	128	514	157	415	14.01%	79	1780	22.83	12	8	20	58	173	7	168	10	3	58.90%	309	1	7	1.47	1	5	0	15	13	8
2	Nic Dowd	BELLEVILLE Senators (OTW)	C	78	49	34	83	46	40	0	167	188	408	105	300	12.01%	46	1515	19.43	6	3	9	44	173	1	74	4	2	68.84%	1688	0	5	1.10	0	3	0	9	3	4
3	Matt Puempel	BELLEVILLE Senators (OTW)	LW	80	39	34	73	41	36	0	150	84	355	103	239	10.99%	44	1146	14.33	0	1	1	1	19	0	15	3	0	64.37%	87	1	2	1.27	1	1	0	3	7	5
4	Jordan Schroeder	BELLEVILLE Senators (OTW)	C/RW	80	24	44	68	35	13	5	67	87	328	75	238	7.32%	33	1339	16.74	2	13	15	52	179	3	41	6	0	59.31%	467	0	1	1.02	0	0	1	1	2	8
5	Andrej Sustr	BELLEVILLE Senators (OTW)	D	80	14	43	57	43	28	0	92	52	147	43	98	9.52%	78	1456	18.21	4	8	12	42	103	1	93	2	0	0.00%	0	0	0	0.78	0	1	0	0	4	4
6	Jakub Vrana	BELLEVILLE Senators (OTW)	LW	80	23	27	50	41	10	0	39	66	242	59	209	9.50%	31	1070	13.38	3	3	6	19	69	1	109	7	0	55.38%	65	0	2	0.93	1	4	0	1	2	5
7	Casey Nelson	BELLEVILLE Senators (OTW)	D	80	11	36	47	40	20	0	52	44	98	24	59	11.22%	49	1280	16.01	3	3	6	19	70	1	75	3	0	0.00%	0	0	0	0.73	0	0	0	1	2	3
8	Andrew Poturalski	BELLEVILLE Senators (OTW)	C	80	11	30	41	36	16	0	31	79	117	35	92	9.40%	11	639	8.00	0	1	1	1	9	1	19	1	0	70.50%	766	0	0	1.28	0	0	0	2	0	1
9	Travis Dermott	BELLEVILLE Senators (OTW)	D	68	7	32	39	37	37	5	91	25	79	16	42	8.86%	49	1113	16.37	1	0	1	19	75	1	60	0	0	0.00%	0	0	0	0.70	0	0	1	0	2	1
10	Matt Tennyson	BELLEVILLE Senators (OTW)	D	80	6	32	38	44	50	0	128	34	65	31	54	9.23%	77	1023	12.79	0	0	0	0	7	0	21	2	0	0.00%	0	0	0	0.74	0	0	0	2	0	1
11	Duncan Siemens	BELLEVILLE Senators (OTW)	D	80	5	31	36	32	38	0	109	47	97	34	71	5.15%	65	1167	14.60	0	0	0	11	34	2	52	1	0	0.00%	0	0	0	0.62	0	0	0	0	0	3
12	Andrew Mangiapane	BELLEVILLE Senators (OTW)	LW	80	16	17	33	25	4	0	23	38	161	39	116	9.94%	3	496	6.21	0	0	0	6	8	2	8	2	0	38.64%	44	0	2	1.33	0	1	0	1	3	0
13	Sam Anas	BELLEVILLE Senators (OTW)	C/RW	34	12	17	29	19	6	0	9	50	131	38	94	9.16%	2	745	21.94	0	2	2	7	62	0	5	1	0	60.06%	358	0	0	0.78	0	0	0	3	1	0
14	Daniel Audette	BELLEVILLE Senators (OTW)	C	17	12	15	27	27	4	0	14	26	90	28	57	13.33%	6	241	14.22	0	0	0	0	0	0	1	1	0	65.58%	215	0	2	2.23	0	0	0	2	2	2
15	Nicklas Jensen	BELLEVILLE Senators (OTW)	RW	45	11	15	26	24	12	0	18	33	114	43	98	9.65%	5	555	12.34	0	0	0	9	34	0	0	2	0	68.42%	38	0	0	0.94	0	0	0	0	1	0
16	Vince Dunn	BELLEVILLE Senators (OTW)	D	18	4	15	19	26	14	0	25	6	37	19	26	10.81%	15	423	23.51	1	3	4	10	37	1	40	1	0	0.00%	0	0	0	0.90	0	0	0	1	1	0
17	Kurtis Gabriel	BELLEVILLE Senators (OTW)	RW	32	5	9	14	21	22	0	53	15	59	17	42	8.47%	3	422	13.19	0	0	0	0	1	0	0	0	1	63.64%	22	0	0	0.66	0	0	0	0	0	2
18	Jordan Greenway	BELLEVILLE Senators (OTW)	LW	17	3	5	8	11	8	0	24	5	37	10	24	8.11%	1	163	9.62	0	0	0	0	0	0	0	0	1	33.33%	6	0	0	0.98	0	0	0	0	0	0
19	Kenney Morrison	BELLEVILLE Senators (OTW)	D	2	1	0	1	2	0	0	0	1	2	0	0	50.00%	1	29	14.68	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.68	0	0	0	0	0	0
20	Mark Borowiecki	OTTAWA Senators	D	1	0	0	0	-3	4	0	6	1	4	3	1	0.00%	0	18	18.42	0	0	0	3	4	0	2	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0
21	Trevor van Riemsdyk	OTTAWA Senators	D	1	0	0	0	-3	0	0	0	1	3	0	1	0.00%	1	24	24.37	0	0	0	1	4	0	3	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0
Team Total or Average				1111	325	495	820	619	392	10	1339	1010	3088	879	2276	10.52%	599	16654	14.99	32	45	77	302	1071	21	795	46	7	65.63%	4065	2	21	0.98	3	15	2	41	43	47

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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Carter Hutton	BELLEVILLE Senators (OTW)	78	48	25	4	0.931	1.88	4673	6	18	146	2107	0	8	2	0.850	20	78	0	13	7	3
Team Total or Average			78	48	25	4	0.931	1.88	4673	6	18	146	2107	0	8	2	0.850	20	78	0	13	7	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	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Alex Formenton	BELLEVILLE Senators (OTW)	LW	18	9/13/1999	Yes	75 Kg	188 CM	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Andrej Sustr	BELLEVILLE Senators (OTW)	D	27	11/29/1990	No	100 Kg	201 CM	No	No	No	1	RFA	Pro & Farm	1,755,000$	0$	0$	No	Link
Andrew Mangiapane	BELLEVILLE Senators (OTW)	LW	22	4/4/1996	No	84 Kg	178 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Andrew Poturalski	BELLEVILLE Senators (OTW)	C	24	1/14/1994	No	82 Kg	178 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Carter Hutton	BELLEVILLE Senators (OTW)	G	32	12/19/1985	No	92 Kg	185 CM	No	No	No	4	UFA	Pro & Farm	2,500,000$	0$	0$	No	Link
Casey Nelson	BELLEVILLE Senators (OTW)	D	26	7/18/1992	No	84 Kg	185 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Daniel Audette	BELLEVILLE Senators (OTW)	C	22	5/6/1996	No	80 Kg	173 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Duncan Siemens	BELLEVILLE Senators (OTW)	D	24	9/7/1993	No	95 Kg	191 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Dylan Ferguson	BELLEVILLE Senators (OTW)	G	19	9/20/1998	Yes	86 Kg	185 CM	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Jakub Vrana	BELLEVILLE Senators (OTW)	LW	22	2/28/1996	No	90 Kg	183 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Jordan Greenway	BELLEVILLE Senators (OTW)	LW	21	2/16/1997	Yes	103 Kg	198 CM	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Jordan Schroeder	BELLEVILLE Senators (OTW)	C/RW	27	9/29/1990	No	77 Kg	175 CM	No	No	No	2	RFA	Pro & Farm	550,000$	0$	0$	No	Link
Kenney Morrison	BELLEVILLE Senators (OTW)	D	26	2/13/1992	No	91 Kg	188 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Kurtis Gabriel	BELLEVILLE Senators (OTW)	RW	25	4/20/1993	No	96 Kg	193 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Matt Puempel	BELLEVILLE Senators (OTW)	LW	25	1/24/1993	No	93 Kg	185 CM	No	No	No	2	RFA	Pro & Farm	850,000$	0$	0$	No	Link
Matt Tennyson	BELLEVILLE Senators (OTW)	D	28	4/23/1990	No	93 Kg	188 CM	No	No	No	2	UFA	Pro & Farm	650,000$	0$	0$	No	Link
Michael Raffl	BELLEVILLE Senators (OTW)	LW	29	12/1/1988	No	91 Kg	183 CM	No	No	No	1	UFA	Pro & Farm	1,400,000$	0$	0$	No	Link
Nic Dowd	BELLEVILLE Senators (OTW)	C	28	5/27/1990	No	90 Kg	188 CM	No	No	No	4	UFA	Pro & Farm	750,000$	0$	0$	No	Link
Nicklas Jensen	BELLEVILLE Senators (OTW)	RW	25	3/6/1993	No	98 Kg	191 CM	No	No	No	2	RFA	Pro & Farm	750,000$	0$	0$	No
Sam Anas	BELLEVILLE Senators (OTW)	C/RW	25	6/1/1993	Yes	74 Kg	173 CM	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Travis Dermott	BELLEVILLE Senators (OTW)	D	21	12/22/1996	No	95 Kg	183 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Vince Dunn	BELLEVILLE Senators (OTW)	D	21	10/29/1996	Yes	92 Kg	183 CM	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	24.41	89 Kg	185 CM	1.91	895,682$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Michael Raffl	Nic Dowd	Jakub Vrana	31	1	2	2
2	Jordan Greenway	Jordan Schroeder	Sam Anas	26	1	2	2
3	Matt Puempel	Sam Anas	Nicklas Jensen	23	1	2	2
4	Andrew Mangiapane	Andrew Poturalski	Kurtis Gabriel	20	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Vince Dunn	Andrej Sustr	31	1	2	2
2	Casey Nelson	Travis Dermott	26	1	2	2
3	Duncan Siemens	Matt Tennyson	23	1	2	2
4	Vince Dunn	Andrej Sustr	20	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Michael Raffl	Nic Dowd	Jordan Schroeder	55	1	2	2
2	Jakub Vrana	Jordan Schroeder	Sam Anas	45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Vince Dunn	Andrej Sustr	55	1	2	2
2	Casey Nelson	Travis Dermott	45	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nic Dowd	Michael Raffl	55	1	2	2
2	Jordan Schroeder	Jakub Vrana	45	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Vince Dunn	Andrej Sustr	55	1	2	2
2	Casey Nelson	Travis Dermott	45	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Nic Dowd	55	1	2	2	Vince Dunn	Andrej Sustr	55	1	2	2
2	Jordan Schroeder	45	1	2	2	Casey Nelson	Travis Dermott	45	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nic Dowd	Michael Raffl	55	1	2	2
2	Jordan Schroeder	Jakub Vrana	45	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Vince Dunn	Andrej Sustr	55	1	2	2
2	Casey Nelson	Travis Dermott	45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Michael Raffl	Nic Dowd	Jordan Schroeder	Vince Dunn	Andrej Sustr

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Michael Raffl	Nic Dowd	Jordan Schroeder	Vince Dunn	Andrej Sustr

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jordan Schroeder, Sam Anas, Andrew Mangiapane	Jordan Schroeder, Sam Anas	Jordan Schroeder

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Travis Dermott, Duncan Siemens, Matt Tennyson	Travis Dermott	Travis Dermott, Duncan Siemens

Penalty Shots
Michael Raffl, Jakub Vrana, Nic Dowd, Matt Puempel, Jordan Schroeder

Goalie
#1 : Carter Hutton, #2 : Dylan Ferguson

Custom OT Lines Forwards
Michael Raffl, Jakub Vrana, Nic Dowd, Matt Puempel, Jordan Schroeder, Sam Anas, Sam Anas, Andrew Mangiapane, Andrew Poturalski, Jordan Greenway, Nicklas Jensen

Custom OT Lines Defensemen
Vince Dunn, Andrej Sustr, Casey Nelson, Travis Dermott, Duncan Siemens

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	BRIDGEPORT Sound Tigers	2	1	0	0	0	0	1	0	13	8	5	1	1	0	0	0	0	0	0	7	3	4	1	0	0	0	0	0	1	0	6	5	1	4	1.000	13	18	31	0	0	161	104	59	6	54	1009	1085	1117	36	77	20	14	30	2	1	50.00%	7	3	57.14%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
2	BROOKLYN Wolfpack	2	2	0	0	0	0	0	0	22	1	21	1	1	0	0	0	0	0	0	10	1	9	1	1	0	0	0	0	0	0	12	0	12	4	1.000	22	38	60	0	1	161	104	59	6	193	1009	1085	1117	36	12	2	6	45	1	0	0.00%	3	0	100.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
3	CHICAGO Wolves	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	12	20	0	0	161	104	59	6	71	1009	1085	1117	36	58	21	18	27	0	0	0.00%	9	0	100.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
4	CLEVELAND Monsters	2	1	0	0	0	0	0	1	6	2	4	1	0	0	0	0	0	0	1	1	2	-1	1	1	0	0	0	0	0	0	5	0	5	3	0.750	6	10	16	0	1	161	104	59	6	74	1009	1085	1117	36	52	19	19	32	13	2	15.38%	6	0	100.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
5	COLORADO Eagles	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	7	13	20	0	0	161	104	59	6	51	1009	1085	1117	36	51	14	12	36	10	2	20.00%	6	1	83.33%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
6	CORNWALL Aces	6	6	0	0	0	0	0	0	62	3	59	3	3	0	0	0	0	0	0	35	2	33	3	3	0	0	0	0	0	0	27	1	26	12	1.000	62	105	167	0	3	161	104	59	6	406	1009	1085	1117	36	104	31	24	136	9	4	44.44%	11	1	90.91%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
7	HERSEY Bears	2	0	1	0	0	0	1	0	4	4	0	1	0	1	0	0	0	0	0	0	1	-1	1	0	0	0	0	0	1	0	4	3	1	2	0.500	4	5	9	0	0	161	104	59	6	54	1009	1085	1117	36	46	15	18	34	6	1	16.67%	8	1	87.50%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
8	HOLLYWOOD Oscar	2	2	0	0	0	0	0	0	8	0	8	1	1	0	0	0	0	0	0	5	0	5	1	1	0	0	0	0	0	0	3	0	3	4	1.000	8	16	24	0	2	161	104	59	6	132	1009	1085	1117	36	11	0	12	36	2	0	0.00%	6	0	100.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
9	IOWA Wild	3	0	2	0	1	0	0	0	9	10	-1	2	0	1	0	1	0	0	0	8	8	0	1	0	1	0	0	0	0	0	1	2	-1	2	0.333	9	17	26	0	0	161	104	59	6	120	1009	1085	1117	36	98	24	20	52	6	1	16.67%	10	3	70.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
10	LAVAL Rockets	4	2	1	0	0	1	0	0	12	10	2	2	0	1	0	0	1	0	0	5	7	-2	2	2	0	0	0	0	0	0	7	3	4	5	0.625	12	18	30	0	0	161	104	59	6	119	1009	1085	1117	36	116	29	16	58	21	5	23.81%	6	0	100.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
11	LEHIGH VALLEY Phantoms	2	0	2	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	1	1	2	1	0	161	104	59	6	37	1009	1085	1117	36	94	27	12	37	5	0	0.00%	4	0	100.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
12	MANITOBA Moose	2	2	0	0	0	0	0	0	14	0	14	1	1	0	0	0	0	0	0	7	0	7	1	1	0	0	0	0	0	0	7	0	7	4	1.000	14	23	37	0	2	161	104	59	6	196	1009	1085	1117	36	10	1	2	59	1	0	0.00%	1	0	100.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
13	MILWAUKEE Admirals	2	1	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	1	0	1	1	0	1	0	0	0	0	0	0	2	-2	2	0.500	1	2	3	0	1	161	104	59	6	47	1009	1085	1117	36	45	18	2	32	3	0	0.00%	1	0	100.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
14	MONT-LAURIER Sommet	2	0	2	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	0	1	-1	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	0	0	0	0	0	161	104	59	6	47	1009	1085	1117	36	52	12	4	35	3	0	0.00%	2	0	100.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
15	PROVIDENCE Bruins	3	1	2	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	1	3	-2	2	1	1	0	0	0	0	0	4	3	1	2	0.333	5	9	14	0	0	161	104	59	6	70	1009	1085	1117	36	89	26	16	54	9	2	22.22%	8	0	100.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
16	PV Sharapovas	8	3	5	0	0	0	0	0	9	19	-10	5	2	3	0	0	0	0	0	4	12	-8	3	1	2	0	0	0	0	0	5	7	-2	6	0.375	9	16	25	0	2	161	104	59	6	185	1009	1085	1117	36	286	85	48	126	28	2	7.14%	21	2	90.48%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
17	ROCKFORD IceHogs	2	0	2	0	0	0	0	0	4	11	-7	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	4	7	11	0	0	161	104	59	6	58	1009	1085	1117	36	116	27	10	26	3	0	0.00%	5	0	100.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
18	SAN DIEGO Gulls	3	1	1	0	0	0	1	0	7	7	0	2	1	0	0	0	0	1	0	6	3	3	1	0	1	0	0	0	0	0	1	4	-3	4	0.667	7	10	17	0	0	161	104	59	6	90	1009	1085	1117	36	89	24	20	60	4	0	0.00%	10	1	90.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
19	STOCKTON Flames	2	1	1	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	4	2	2	2	0.500	4	8	12	0	0	161	104	59	6	36	1009	1085	1117	36	65	17	14	35	1	0	0.00%	7	0	100.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
20	SYRACUSE Crunch	8	7	1	0	0	0	0	0	79	18	61	4	3	1	0	0	0	0	0	42	12	30	4	4	0	0	0	0	0	0	37	6	31	14	0.875	79	136	215	0	4	161	104	59	6	623	1009	1085	1117	36	120	43	24	101	10	2	20.00%	10	3	70.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
21	TORONTO Marlies	7	5	2	0	0	0	0	0	25	14	11	3	1	2	0	0	0	0	0	8	8	0	4	4	0	0	0	0	0	0	17	6	11	10	0.714	25	41	66	0	1	161	104	59	6	249	1009	1085	1117	36	202	58	30	129	22	4	18.18%	14	3	78.57%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
22	TUSCON Roadrunners	6	2	2	0	0	1	0	1	15	17	-2	3	2	0	0	0	0	0	1	9	7	2	3	0	2	0	0	1	0	0	6	10	-4	6	0.500	15	21	36	1	0	161	104	59	6	128	1009	1085	1117	36	208	64	29	115	29	2	6.90%	11	3	72.73%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
	Total	80	43	27	0	3	2	3	2	330	165	165	39	19	14	0	2	1	1	2	165	91	74	41	24	13	0	1	1	2	0	165	74	91	102	0.638	330	550	880	2	18	161	104	59	6	3227	1009	1085	1117	36	2190	634	404	1421	207	32	15.46%	181	23	87.29%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
24	UTICA Comets	2	1	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	3	1	2	2	0.500	5	7	12	0	0	161	104	59	6	48	1009	1085	1117	36	65	19	6	42	11	3	27.27%	3	0	100.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
25	VICTORIAVILLE Tigres	3	0	1	0	2	0	0	0	6	8	-2	1	0	0	0	1	0	0	0	3	2	1	2	0	1	0	1	0	0	0	3	6	-3	4	0.667	6	10	16	0	0	161	104	59	6	89	1009	1085	1117	36	108	34	18	60	6	0	0.00%	7	2	71.43%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
26	WILKIES-BARRIE Penguins	1	1	0	0	0	0	0	0	4	0	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	0	4	2	1.000	4	7	11	0	1	161	104	59	6	50	1009	1085	1117	36	16	4	10	24	2	1	50.00%	5	0	100.00%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
	_Since Last GM Reset	80	43	27	0	3	2	3	2	330	165	165	39	19	14	0	2	1	1	2	165	91	74	41	24	13	0	1	1	2	0	165	74	91	102	0.638	330	550	880	2	18	161	104	59	6	3227	1009	1085	1117	36	2190	634	404	1421	207	32	15.46%	181	23	87.29%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
	_Vs Conference	51	28	18	0	3	1	0	1	232	100	132	25	13	9	0	2	0	0	1	122	55	67	26	15	9	0	1	1	0	0	110	45	65	64	0.627	232	394	626	2	14	161	104	59	6	2248	1009	1085	1117	36	1358	396	237	921	122	15	12.30%	104	17	83.65%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
	_Vs Division	11	23	10	0	0	1	0	1	50	20	30	5	11	6	0	0	0	0	1	19	10	9	6	12	4	0	0	1	0	0	31	10	21	48	2.182	50	79	129	1	3	161	104	59	6	462	1009	1085	1117	36	297	87	79	202	29	5	17.24%	33	4	87.88%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
80	102	L1	330	550	880	3227	2190	634	404	1421	2	18

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
80	43	27	3	2	3	2	330	165

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	19	14	2	1	1	2	165	91

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	24	13	1	1	2	0	165	74

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
207	32	15.46%	181	23	87.29%	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
1009	1085	1117	36	161	104	59	6

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2227	1720	1730	475	874	456

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
1 - 2019-01-23	3	PV Sharapovas	7	BELLEVILLE Senators	1	L				BoxScore
2 - 2019-01-24	19	BELLEVILLE Senators	11	SYRACUSE Crunch	2	W				BoxScore
4 - 2019-01-26	31	BELLEVILLE Senators	7	TORONTO Marlies	2	W				BoxScore
6 - 2019-01-28	46	SYRACUSE Crunch	0	BELLEVILLE Senators	14	W				BoxScore
7 - 2019-01-29	59	PV Sharapovas	3	BELLEVILLE Senators	0	L				BoxScore
9 - 2019-01-31	74	BELLEVILLE Senators	0	PV Sharapovas	2	L				BoxScore
10 - 2019-02-01	87	BELLEVILLE Senators	4	TORONTO Marlies	2	W				BoxScore
11 - 2019-02-02	95	TORONTO Marlies	2	BELLEVILLE Senators	1	L				BoxScore
13 - 2019-02-04	111	BELLEVILLE Senators	12	BROOKLYN Wolfpack	0	W				BoxScore
14 - 2019-02-05	119	TUSCON Roadrunners	3	BELLEVILLE Senators	2	L	X	X		BoxScore
16 - 2019-02-07	135	CORNWALL Aces	1	BELLEVILLE Senators	11	W				BoxScore
17 - 2019-02-08	152	CORNWALL Aces	0	BELLEVILLE Senators	14	W				BoxScore
18 - 2019-02-09	159	BELLEVILLE Senators	2	TUSCON Roadrunners	3	L	X			BoxScore
20 - 2019-02-11	175	BELLEVILLE Senators	3	PV Sharapovas	1	W				BoxScore
21 - 2019-02-12	179	BELLEVILLE Senators	5	SYRACUSE Crunch	4	W				BoxScore
22 - 2019-02-13	195	BELLEVILLE Senators	0	STOCKTON Flames	1	L				BoxScore
23 - 2019-02-14	205	BELLEVILLE Senators	8	CORNWALL Aces	0	W				BoxScore
25 - 2019-02-16	216	TUSCON Roadrunners	2	BELLEVILLE Senators	4	W				BoxScore
27 - 2019-02-18	234	TORONTO Marlies	6	BELLEVILLE Senators	5	L				BoxScore
29 - 2019-02-20	248	BELLEVILLE Senators	2	TORONTO Marlies	1	W				BoxScore
30 - 2019-02-21	258	SAN DIEGO Gulls	1	BELLEVILLE Senators	3	W				BoxScore
32 - 2019-02-23	273	LAVAL Rockets	4	BELLEVILLE Senators	3	L	X			BoxScore
33 - 2019-02-24	289	BELLEVILLE Senators	2	ROCKFORD IceHogs	5	L				BoxScore
34 - 2019-02-25	303	PV Sharapovas	2	BELLEVILLE Senators	1	L				BoxScore
36 - 2019-02-27	318	BELLEVILLE Senators	6	BRIDGEPORT Sound Tigers	5	W	X	X		BoxScore
38 - 2019-03-01	330	SYRACUSE Crunch	11	BELLEVILLE Senators	2	L				BoxScore
39 - 2019-03-02	344	BELLEVILLE Senators	3	UTICA Comets	1	W				BoxScore
40 - 2019-03-03	353	TUSCON Roadrunners	2	BELLEVILLE Senators	3	W				BoxScore
42 - 2019-03-05	370	BELLEVILLE Senators	2	PV Sharapovas	4	L				BoxScore
43 - 2019-03-06	380	BRIDGEPORT Sound Tigers	3	BELLEVILLE Senators	7	W				BoxScore
45 - 2019-03-08	393	BELLEVILLE Senators	7	MANITOBA Moose	0	W				BoxScore
46 - 2019-03-09	401	BELLEVILLE Senators	9	CORNWALL Aces	0	W				BoxScore
48 - 2019-03-11	414	LAVAL Rockets	3	BELLEVILLE Senators	2	L				BoxScore
49 - 2019-03-12	430	CORNWALL Aces	1	BELLEVILLE Senators	10	W				BoxScore
50 - 2019-03-13	444	BELLEVILLE Senators	0	LEHIGH VALLEY Phantoms	2	L				BoxScore
52 - 2019-03-15	459	BELLEVILLE Senators	1	IOWA Wild	2	L				BoxScore
53 - 2019-03-16	465	MANITOBA Moose	0	BELLEVILLE Senators	7	W				BoxScore
55 - 2019-03-18	487	MILWAUKEE Admirals	0	BELLEVILLE Senators	1	W				BoxScore
56 - 2019-03-19	496	BELLEVILLE Senators	1	PROVIDENCE Bruins	2	L				BoxScore
57 - 2019-03-20	512	BELLEVILLE Senators	0	MONT-LAURIER Sommet	3	L				BoxScore
58 - 2019-03-21	517	LEHIGH VALLEY Phantoms	3	BELLEVILLE Senators	1	L				BoxScore
61 - 2019-03-24	539	ROCKFORD IceHogs	6	BELLEVILLE Senators	2	L				BoxScore
62 - 2019-03-25	552	MONT-LAURIER Sommet	1	BELLEVILLE Senators	0	L				BoxScore
64 - 2019-03-27	565	BELLEVILLE Senators	3	TUSCON Roadrunners	4	L				BoxScore
65 - 2019-03-28	575	CHICAGO Wolves	3	BELLEVILLE Senators	4	W				BoxScore
66 - 2019-03-29	589	BELLEVILLE Senators	0	VICTORIAVILLE Tigres	4	L				BoxScore
68 - 2019-03-31	601	VICTORIAVILLE Tigres	2	BELLEVILLE Senators	3	W	X			BoxScore
69 - 2019-04-01	617	BELLEVILLE Senators	0	MILWAUKEE Admirals	2	L				BoxScore
70 - 2019-04-02	626	UTICA Comets	5	BELLEVILLE Senators	2	L				BoxScore
72 - 2019-04-04	644	BELLEVILLE Senators	3	HOLLYWOOD Oscar	0	W				BoxScore
73 - 2019-04-05	655	PV Sharapovas	0	BELLEVILLE Senators	1	W				BoxScore
75 - 2019-04-07	671	BELLEVILLE Senators	4	LAVAL Rockets	2	W				BoxScore
76 - 2019-04-08	679	BELLEVILLE Senators	4	TORONTO Marlies	1	W				BoxScore
77 - 2019-04-09	691	BROOKLYN Wolfpack	1	BELLEVILLE Senators	10	W				BoxScore
78 - 2019-04-10	700	BELLEVILLE Senators	4	WILKIES-BARRIE Penguins	0	W			R3	BoxScore
79 - 2019-04-11	715	BELLEVILLE Senators	3	PROVIDENCE Bruins	1	W				BoxScore
81 - 2019-04-13	728	CLEVELAND Monsters	2	BELLEVILLE Senators	1	L	X	X		BoxScore
83 - 2019-04-15	745	PV Sharapovas	0	BELLEVILLE Senators	1	W				BoxScore
84 - 2019-04-16	758	BELLEVILLE Senators	1	SAN DIEGO Gulls	4	L				BoxScore
85 - 2019-04-17	769	IOWA Wild	4	BELLEVILLE Senators	3	L				BoxScore
87 - 2019-04-19	787	BELLEVILLE Senators	3	VICTORIAVILLE Tigres	2	W	X			BoxScore
88 - 2019-04-20	795	BELLEVILLE Senators	4	CHICAGO Wolves	2	W				BoxScore
89 - 2019-04-21	804	COLORADO Eagles	2	BELLEVILLE Senators	4	W				BoxScore
91 - 2019-04-23	822	IOWA Wild	4	BELLEVILLE Senators	5	W	X			BoxScore
93 - 2019-04-25	837	BELLEVILLE Senators	10	SYRACUSE Crunch	0	W				BoxScore
95 - 2019-04-27	850	SYRACUSE Crunch	1	BELLEVILLE Senators	13	W				BoxScore
96 - 2019-04-28	861	BELLEVILLE Senators	4	STOCKTON Flames	1	W				BoxScore
97 - 2019-04-29	875	HOLLYWOOD Oscar	0	BELLEVILLE Senators	5	W				BoxScore
98 - 2019-04-30	879	BELLEVILLE Senators	3	LAVAL Rockets	1	W				BoxScore
100 - 2019-05-02	900	TORONTO Marlies	0	BELLEVILLE Senators	2	W				BoxScore
101 - 2019-05-03	910	BELLEVILLE Senators	1	TUSCON Roadrunners	3	L				BoxScore
103 - 2019-05-05	924	SAN DIEGO Gulls	2	BELLEVILLE Senators	3	W	X	X		BoxScore
105 - 2019-05-07	944	BELLEVILLE Senators	11	SYRACUSE Crunch	0	W				BoxScore
106 - 2019-05-08	950	SYRACUSE Crunch	0	BELLEVILLE Senators	13	W				BoxScore
107 - 2019-05-09	960	BELLEVILLE Senators	4	HERSEY Bears	3	W	X	X		BoxScore
108 - 2019-05-10	979	PROVIDENCE Bruins	3	BELLEVILLE Senators	1	L				BoxScore
109 - 2019-05-11	982	BELLEVILLE Senators	5	CLEVELAND Monsters	0	W				BoxScore
111 - 2019-05-13	999	BELLEVILLE Senators	10	CORNWALL Aces	1	W				BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
112 - 2019-05-14	1007	BELLEVILLE Senators	3	COLORADO Eagles	1	W				BoxScore
113 - 2019-05-15	1014	HERSEY Bears	1	BELLEVILLE Senators	0	L				BoxScore
116 - 2019-05-18	1038	WILKIES-BARRIE Penguins	-	BELLEVILLE Senators	-
118 - 2019-05-20	1056	STOCKTON Flames	-	BELLEVILLE Senators	-

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
2	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,395,764$	1,970,500$	1,970,500$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,920,740$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	6	20,588$	123,528$

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
28	78	34	43	0	0	0	0	1	325	306	19	39	16	23	0	0	0	0	0	171	159	12	39	18	20	0	0	0	0	1	154	147	7	68	325	602	927	2	11	162	107	56	0	3203	1079	1100	1023	3	1481	419	338	1216	140	33	23.57%	147	44	70.07%	2	1564	2320	67.41%	629	1085	57.97%	884	1305	67.74%	2626	2079	1200	385	858	502
30	82	19	63	0	0	0	0	0	290	410	-120	41	10	31	0	0	0	0	0	153	191	-38	41	9	32	0	0	0	0	0	137	219	-82	38	290	504	794	0	5	158	86	46	0	3204	1078	1088	1038	0	1865	504	284	1080	165	20	12.12%	126	44	65.08%	0	1366	2353	58.05%	595	1203	49.46%	808	1433	56.39%	2449	1918	1549	452	921	493
31	82	20	61	0	0	1	0	0	305	450	-145	41	12	28	0	0	1	0	0	172	202	-30	41	8	33	0	0	0	0	0	133	248	-115	40	305	563	868	0	4	161	72	72	0	2901	989	951	961	0	1910	561	596	1519	237	43	18.14%	276	109	60.51%	4	1751	2759	63.47%	807	1444	55.89%	849	1530	55.49%	2358	1762	1570	507	991	533
32	80	43	27	0	3	2	3	2	330	165	165	39	19	14	0	2	1	1	2	165	91	74	41	24	13	0	1	1	2	0	165	74	91	102	330	550	880	2	18	161	104	59	6	3227	1009	1085	1117	36	2190	634	404	1421	207	32	15.46%	181	23	87.29%	0	1389	2552	54.43%	1034	2403	43.03%	600	1155	51.95%	2227	1720	1730	475	874	456
Total Regular Season	322	116	194	0	3	3	3	3	1250	1331	-81	160	57	96	0	2	2	1	2	661	643	18	162	59	98	0	1	1	2	1	589	688	-99	248	1250	2219	3469	4	38	642	369	233	6	12535	4155	4224	4139	39	7446	2118	1622	5236	749	128	17.09%	730	220	69.86%	6	6070	9984	60.80%	3065	6135	49.96%	3141	5423	57.92%	9662	7481	6050	1821	3645	1986