Stanley Cup Winners Hockey League

QUEBEC Nordiques
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	Jori Lehtera	0	X				100.00	66	41	81	71	79	76	79	63	68	63	62	63	66	61	56	52	96	68	0
2	Frederik Gauthier	0	X				100.00	73	41	78	61	91	54	83	56	54	56	56	65	58	51	51	81	74	63	0
3	Gabriel Fontaine (R)	0	X				100.00	58	40	79	60	72	53	85	54	67	54	55	60	55	50	50	44	96	60	0
4	Jordan Caron	0		X	X		100.00	55	40	67	68	76	48	42	57	30	53	50	53	52	66	61	47	74	57	0
5	Mitch Callahan	0			X		100.00	55	42	74	60	68	58	62	53	50	54	52	60	52	50	50	42	74	57	0
6	Griffin Reinhart	0				X	100.00	65	43	72	50	83	47	77	53	30	48	44	60	51	51	51	86	74	57	0
7	Jake Chelios	0				X	100.00	53	43	69	53	71	50	58	56	30	50	47	60	54	50	50	37	73	54	0
8	Jordan Subban (R)	0				X	100.00	53	46	63	50	59	55	69	54	30	48	46	60	53	50	50	44	90	54	0
9	Colton White (R)	0				X	100.00	53	43	71	50	69	48	64	53	30	47	45	60	52	50	50	44	96	54	0
Scratches

	TEAM AVERAGE					100.00	59	42	73	58	74	54	69	55	43	53	51	60	55	53	52	53	83	58

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	Calvin Pickard	100.00	69	66	86	81	70	80	71	69	69	68	66	57	63	69	98	64	0
Scratches

	TEAM AVERAGE	100.00	69	66	86	81	70	80	71	69	69	68	66	57	63	69	98	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Steeven	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	PKM	GW	FO%	FOT	HT	P/20	FL	FT	S1	S2	S3
1	Mitch Callahan	CORNWALL Aces (QUE)	RW	78	40	30	70	-153	16	0	150	140	340	103	278	11.76%	188	1567	20.09	3	2	5	28	93	0	1	59.63%	161	3	0.89	0	0	2	3	1
2	Jordan Caron	CORNWALL Aces (QUE)	LW/RW	78	25	35	60	-155	14	0	172	148	313	89	263	7.99%	140	1553	19.91	1	3	4	23	98	2	3	47.69%	715	2	0.77	0	0	0	2	3
3	Frederik Gauthier	CORNWALL Aces (QUE)	C	78	36	9	45	-230	29	5	240	165	305	101	250	11.80%	349	1646	21.11	3	1	4	24	116	1	0	60.57%	705	3	0.55	0	1	4	0	1
4	Griffin Reinhart	CORNWALL Aces (QUE)	D	78	17	12	29	-118	49	5	162	64	122	34	79	13.93%	135	1367	17.53	2	2	4	15	57	2	0	45.45%	99	1	0.42	0	1	0	0	2
5	Jake Chelios	CORNWALL Aces (QUE)	D	78	4	24	28	-82	31	5	56	70	49	21	41	8.16%	96	1129	14.48	1	3	4	9	27	2	0	0.00%	0	0	0.50	1	0	0	0	0
Team Total or Average				390	122	110	232	-738	139	15	780	587	1129	348	911	10.81%	908	7263	18.63	10	11	21	99	391	9	4	54.11%	1680	9	0.64	1	2	6	5	7

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
Team Total or Average							0.000	0.00	0								0.000

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	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
Calvin Pickard	CORNWALL Aces (QUE)	G	26	4/15/1992	No	91 Kg	185 CM	No	No	No	2	RFA	Pro & Farm	800,000$	0$	0$	No	Link
Colton White	CORNWALL Aces (QUE)	D	21	5/3/1997	Yes	84 Kg	185 CM	No	No	No	1	RFA	Pro & Farm	325,000$	0$	0$	No	Link
Frederik Gauthier	CORNWALL Aces (QUE)	C	23	4/26/1995	No	105 Kg	196 CM	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Gabriel Fontaine	CORNWALL Aces (QUE)	C	21	4/30/1997	Yes	88 Kg	185 CM	No	No	No	3	RFA	Pro & Farm	725,000$	0$	0$	No	Link
Griffin Reinhart	CORNWALL Aces (QUE)	D	24	1/24/1994	No	96 Kg	193 CM	No	No	No	6	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Jake Chelios	CORNWALL Aces (QUE)	D	27	3/8/1991	No	84 Kg	188 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Jordan Caron	CORNWALL Aces (QUE)	LW/RW	27	11/2/1990	No	94 Kg	188 CM	No	No	No	2	RFA	Pro & Farm	750,000$	0$	0$	No
Jordan Subban	CORNWALL Aces (QUE)	D	23	3/3/1995	Yes	81 Kg	175 CM	No	No	No	3	RFA	Pro & Farm	725,000$	0$	0$	No	Link
Jori Lehtera	CORNWALL Aces (QUE)	C	30	12/23/1987	No	96 Kg	188 CM	No	No	No	1	UFA	Pro & Farm	2,350,000$	0$	0$	No	Link
Mitch Callahan	CORNWALL Aces (QUE)	RW	27	8/17/1991	No	86 Kg	183 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
10	24.90	90 Kg	188 CM	2.30	867,500$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jordan Caron		Mitch Callahan	31	1	2	2
2	Frederik Gauthier			26	1	2	2
3		Frederik Gauthier		23	1	2	2
4	Mitch Callahan	Jordan Caron		20	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			31	1	2	2
2	Griffin Reinhart	Jake Chelios	26	1	2	2
3			23	1	2	2
4	Griffin Reinhart	Jake Chelios	20	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jordan Caron		Mitch Callahan	55	1	2	2
2	Frederik Gauthier			45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2	Griffin Reinhart	Jake Chelios	45	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2	Frederik Gauthier	Jordan Caron	45	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2	Griffin Reinhart	Jake Chelios	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			55	1	2	2
2		45	1	2	2	Griffin Reinhart	Jake Chelios	45	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2	Frederik Gauthier	Jordan Caron	45	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2	Griffin Reinhart	Jake Chelios	45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jordan Caron		Mitch Callahan

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jordan Caron		Mitch Callahan

Extra Forwards
Normal	PowerPlay	Penalty Kill
Mitch Callahan, Frederik Gauthier, Jordan Caron	Mitch Callahan, Frederik Gauthier	Jordan Caron

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, , Griffin Reinhart		, Griffin Reinhart

Penalty Shots
, , Frederik Gauthier, Jordan Caron, Mitch Callahan

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , Frederik Gauthier, Jordan Caron, Mitch Callahan, , , , , ,

Custom OT Lines Defensemen
, , Griffin Reinhart, Jake Chelios,

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	BELLEVILLE Senators	6	0	6	0	0	0	0	0	3	62	-59	3	0	3	0	0	0	0	0	1	27	-26	3	0	3	0	0	0	0	0	2	35	-33	0	0.000	3	3	6	0	0	60	38	33	0	104	561	474	474	0	406	108	20	83	11	1	9.09%	9	4	55.56%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
2	BRIDGEPORT Sound Tigers	2	0	2	0	0	0	0	0	7	22	-15	1	0	1	0	0	0	0	0	2	12	-10	1	0	1	0	0	0	0	0	5	10	-5	0	0.000	7	12	19	0	0	60	38	33	0	24	561	474	474	0	104	40	2	28	10	3	30.00%	1	1	0.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
3	BROOKLYN Wolfpack	2	2	0	0	0	0	0	0	18	9	9	1	1	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	9	3	6	4	1.000	18	27	45	0	0	60	38	33	0	165	561	474	474	0	64	13	0	48	1	0	0.00%	0	0	0.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
4	CHICAGO Wolves	1	0	1	0	0	0	0	0	2	10	-8	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	10	-8	0	0.000	2	3	5	0	0	60	38	33	0	15	561	474	474	0	54	13	4	11	3	0	0.00%	2	0	100.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
5	CLEVELAND Monsters	3	0	3	0	0	0	0	0	2	36	-34	2	0	2	0	0	0	0	0	2	24	-22	1	0	1	0	0	0	0	0	0	12	-12	0	0.000	2	4	6	0	0	60	38	33	0	43	561	474	474	0	184	38	4	31	1	0	0.00%	2	1	50.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
6	COLORADO Eagles	3	0	3	0	0	0	0	0	5	24	-19	1	0	1	0	0	0	0	0	2	8	-6	2	0	2	0	0	0	0	0	3	16	-13	0	0.000	5	7	12	0	0	60	38	33	0	30	561	474	474	0	185	59	6	24	8	1	12.50%	3	1	66.67%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
7	HERSEY Bears	3	0	3	0	0	0	0	0	1	33	-32	2	0	2	0	0	0	0	0	1	22	-21	1	0	1	0	0	0	0	0	0	11	-11	0	0.000	1	1	2	0	0	60	38	33	0	27	561	474	474	0	179	47	14	44	6	0	0.00%	7	4	42.86%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
8	HOLLYWOOD Oscar	2	1	1	0	0	0	0	0	11	10	1	1	1	0	0	0	0	0	0	7	2	5	1	0	1	0	0	0	0	0	4	8	-4	2	0.500	11	14	25	0	0	60	38	33	0	116	561	474	474	0	67	25	2	72	2	0	0.00%	1	0	100.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
9	IOWA Wild	2	0	2	0	0	0	0	0	5	26	-21	1	0	1	0	0	0	0	0	3	12	-9	1	0	1	0	0	0	0	0	2	14	-12	0	0.000	5	8	13	0	0	60	38	33	0	40	561	474	474	0	172	65	4	27	2	0	0.00%	2	2	0.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
10	LAVAL Rockets	2	0	2	0	0	0	0	0	1	24	-23	1	0	1	0	0	0	0	0	1	11	-10	1	0	1	0	0	0	0	0	0	13	-13	0	0.000	1	1	2	0	0	60	38	33	0	23	561	474	474	0	155	52	6	26	3	0	0.00%	2	1	50.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
11	LEHIGH VALLEY Phantoms	2	0	2	0	0	0	0	0	2	26	-24	1	0	1	0	0	0	0	0	0	14	-14	1	0	1	0	0	0	0	0	2	12	-10	0	0.000	2	2	4	0	0	60	38	33	0	20	561	474	474	0	153	46	0	9	5	0	0.00%	0	0	0.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
12	MANITOBA Moose	2	0	1	0	0	1	0	0	7	10	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0	0	0	0	1	0	0	4	5	-1	1	0.250	7	13	20	0	0	60	38	33	0	118	561	474	474	0	60	36	0	56	0	0	0.00%	0	0	0.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
13	MILWAUKEE Admirals	2	0	2	0	0	0	0	0	3	16	-13	1	0	1	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	2	9	-7	0	0.000	3	4	7	0	0	60	38	33	0	26	561	474	474	0	98	34	0	13	6	1	16.67%	0	0	0.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
14	MONT-LAURIER Sommet	2	0	2	0	0	0	0	0	3	17	-14	1	0	1	0	0	0	0	0	1	9	-8	1	0	1	0	0	0	0	0	2	8	-6	0	0.000	3	3	6	0	0	60	38	33	0	38	561	474	474	0	97	30	2	17	4	1	25.00%	0	0	0.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
15	PROVIDENCE Bruins	2	0	2	0	0	0	0	0	1	21	-20	1	0	1	0	0	0	0	0	1	10	-9	1	0	1	0	0	0	0	0	0	11	-11	0	0.000	1	2	3	0	0	60	38	33	0	22	561	474	474	0	142	40	2	18	4	0	0.00%	1	0	100.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
16	PV Sharapovas	6	0	6	0	0	0	0	0	7	58	-51	3	0	3	0	0	0	0	0	5	30	-25	3	0	3	0	0	0	0	0	2	28	-26	0	0.000	7	13	20	0	0	60	38	33	0	79	561	474	474	0	364	100	26	80	32	1	3.13%	13	7	46.15%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
17	ROCKFORD IceHogs	2	0	2	0	0	0	0	0	0	20	-20	1	0	1	0	0	0	0	0	0	11	-11	1	0	1	0	0	0	0	0	0	9	-9	0	0.000	0	0	0	0	0	60	38	33	0	19	561	474	474	0	121	27	4	19	0	0	0.00%	2	2	0.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
18	SAN DIEGO Gulls	3	0	3	0	0	0	0	0	4	29	-25	1	0	1	0	0	0	0	0	2	9	-7	2	0	2	0	0	0	0	0	2	20	-18	0	0.000	4	6	10	0	0	60	38	33	0	37	561	474	474	0	186	67	4	38	2	0	0.00%	1	0	100.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
19	STOCKTON Flames	2	0	2	0	0	0	0	0	4	21	-17	1	0	1	0	0	0	0	0	2	12	-10	1	0	1	0	0	0	0	0	2	9	-7	0	0.000	4	7	11	0	0	60	38	33	0	26	561	474	474	0	112	27	12	23	2	2	100.00%	5	3	40.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
20	SYRACUSE Crunch	5	1	4	0	0	0	0	0	14	50	-36	3	1	2	0	0	0	0	0	10	23	-13	2	0	2	0	0	0	0	0	4	27	-23	2	0.200	14	21	35	0	0	60	38	33	0	161	561	474	474	0	338	94	4	52	7	0	0.00%	2	2	0.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
21	TORONTO Marlies	9	0	9	0	0	0	0	0	16	98	-82	6	0	6	0	0	0	0	0	12	63	-51	3	0	3	0	0	0	0	0	4	35	-31	0	0.000	16	22	38	0	0	60	38	33	0	162	561	474	474	0	614	180	12	118	13	2	15.38%	6	3	50.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
22	TUSCON Roadrunners	10	0	10	0	0	0	0	0	7	107	-100	4	0	4	0	0	0	0	0	1	38	-37	6	0	6	0	0	0	0	0	6	69	-63	0	0.000	7	10	17	0	0	60	38	33	0	115	561	474	474	0	595	174	39	120	23	0	0.00%	8	5	37.50%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
	Total	78	4	73	0	0	1	0	0	131	778	-647	39	3	36	0	0	0	0	0	69	374	-305	39	1	37	0	0	1	0	0	62	404	-342	9	0.058	131	196	327	0	0	60	38	33	0	1509	561	474	474	0	4781	1404	179	1015	151	12	7.95%	73	38	47.95%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
24	UTICA Comets	2	0	2	0	0	0	0	0	2	21	-19	1	0	1	0	0	0	0	0	1	9	-8	1	0	1	0	0	0	0	0	1	12	-11	0	0.000	2	3	5	0	0	60	38	33	0	26	561	474	474	0	135	39	2	16	4	0	0.00%	1	0	100.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
25	VICTORIAVILLE Tigres	2	0	2	0	0	0	0	0	2	21	-19	1	0	1	0	0	0	0	0	2	10	-8	1	0	1	0	0	0	0	0	0	11	-11	0	0.000	2	3	5	0	0	60	38	33	0	26	561	474	474	0	166	40	8	25	2	0	0.00%	4	1	75.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
26	WILKIES-BARRIE Penguins	1	0	1	0	0	0	0	0	4	7	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	4	7	11	0	0	60	38	33	0	47	561	474	474	0	30	10	2	17	0	0	0.00%	1	1	0.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
	_Since Last GM Reset	78	4	73	0	0	1	0	0	131	778	-647	39	3	36	0	0	0	0	0	69	374	-305	39	1	37	0	0	1	0	0	62	404	-342	9	0.058	131	196	327	0	0	60	38	33	0	1509	561	474	474	0	4781	1404	179	1015	151	12	7.95%	73	38	47.95%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
	_Vs Conference	50	2	47	0	0	1	0	0	81	506	-425	26	2	24	0	0	0	0	0	47	245	-198	24	0	23	0	0	1	0	0	34	261	-227	5	0.050	81	119	200	0	0	60	38	33	0	1005	561	474	474	0	3144	925	129	682	103	7	6.80%	50	27	46.00%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
	_Vs Division	13	1	35	0	0	0	0	0	34	133	-99	7	1	18	0	0	0	0	0	14	78	-64	6	0	17	0	0	0	0	0	20	55	-35	2	0.077	34	53	87	0	0	60	38	33	0	326	561	474	474	0	714	194	22	177	23	3	13.04%	11	7	36.36%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
78	9	OTL1	131	196	327	1509	4781	1404	179	1015	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
78	4	73	0	1	0	0	131	778

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	3	36	0	0	0	0	69	374

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	1	37	0	1	0	0	62	404

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	9	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
151	12	7.95%	73	38	47.95%	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
561	474	474	0	60	38	33	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
528	1584	33.33%	462	1869	24.72%	435	1571	27.69%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1123	776	2737	494	819	326

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	RI	Link
2 - 2019-01-24	14	TORONTO Marlies	12	CORNWALL Aces	5	L			BoxScore
3 - 2019-01-25	22	CORNWALL Aces	0	PV Sharapovas	10	L		R3	BoxScore
4 - 2019-01-26	29	CORNWALL Aces	1	TUSCON Roadrunners	12	L			BoxScore
6 - 2019-01-28	47	TORONTO Marlies	10	CORNWALL Aces	3	L			BoxScore
7 - 2019-01-29	57	CORNWALL Aces	2	TORONTO Marlies	12	L			BoxScore
9 - 2019-01-31	73	TORONTO Marlies	12	CORNWALL Aces	1	L			BoxScore
11 - 2019-02-02	90	TUSCON Roadrunners	9	CORNWALL Aces	0	L			BoxScore
13 - 2019-02-04	103	CORNWALL Aces	1	SYRACUSE Crunch	15	L			BoxScore
14 - 2019-02-05	114	SYRACUSE Crunch	10	CORNWALL Aces	0	L			BoxScore
15 - 2019-02-06	134	TORONTO Marlies	8	CORNWALL Aces	0	L			BoxScore
16 - 2019-02-07	135	CORNWALL Aces	1	BELLEVILLE Senators	11	L			BoxScore
17 - 2019-02-08	152	CORNWALL Aces	0	BELLEVILLE Senators	14	L			BoxScore
19 - 2019-02-10	167	HERSEY Bears	9	CORNWALL Aces	1	L		R3	BoxScore
21 - 2019-02-12	185	CORNWALL Aces	1	TUSCON Roadrunners	12	L			BoxScore
22 - 2019-02-13	193	CORNWALL Aces	1	SAN DIEGO Gulls	9	L			BoxScore
23 - 2019-02-14	205	BELLEVILLE Senators	8	CORNWALL Aces	0	L			BoxScore
24 - 2019-02-15	213	CORNWALL Aces	1	TUSCON Roadrunners	12	L			BoxScore
26 - 2019-02-17	230	LEHIGH VALLEY Phantoms	14	CORNWALL Aces	0	L			BoxScore
28 - 2019-02-19	244	CORNWALL Aces	1	SAN DIEGO Gulls	11	L			BoxScore
29 - 2019-02-20	255	STOCKTON Flames	12	CORNWALL Aces	2	L			BoxScore
31 - 2019-02-22	269	TUSCON Roadrunners	9	CORNWALL Aces	0	L			BoxScore
33 - 2019-02-24	287	TORONTO Marlies	10	CORNWALL Aces	1	L			BoxScore
34 - 2019-02-25	297	CORNWALL Aces	1	TUSCON Roadrunners	12	L			BoxScore
35 - 2019-02-26	311	COLORADO Eagles	8	CORNWALL Aces	2	L			BoxScore
37 - 2019-02-28	322	CORNWALL Aces	4	HOLLYWOOD Oscar	8	L			BoxScore
38 - 2019-03-01	338	HERSEY Bears	13	CORNWALL Aces	0	L		R3	BoxScore
40 - 2019-03-03	351	CORNWALL Aces	2	LEHIGH VALLEY Phantoms	12	L			BoxScore
41 - 2019-03-04	364	HOLLYWOOD Oscar	2	CORNWALL Aces	7	W			BoxScore
43 - 2019-03-06	377	CORNWALL Aces	4	WILKIES-BARRIE Penguins	7	L			BoxScore
44 - 2019-03-07	389	CORNWALL Aces	0	LAVAL Rockets	13	L			BoxScore
46 - 2019-03-09	401	BELLEVILLE Senators	9	CORNWALL Aces	0	L			BoxScore
48 - 2019-03-11	418	SYRACUSE Crunch	11	CORNWALL Aces	0	L			BoxScore
49 - 2019-03-12	430	CORNWALL Aces	1	BELLEVILLE Senators	10	L			BoxScore
50 - 2019-03-13	443	CORNWALL Aces	1	TUSCON Roadrunners	10	L			BoxScore
51 - 2019-03-14	452	CLEVELAND Monsters	13	CORNWALL Aces	1	L			BoxScore
53 - 2019-03-16	468	CORNWALL Aces	3	SYRACUSE Crunch	12	L			BoxScore
54 - 2019-03-17	480	TUSCON Roadrunners	10	CORNWALL Aces	1	L			BoxScore
55 - 2019-03-18	489	CORNWALL Aces	0	HERSEY Bears	11	L		R3	BoxScore
56 - 2019-03-19	500	CORNWALL Aces	0	TORONTO Marlies	11	L			BoxScore
57 - 2019-03-20	513	CORNWALL Aces	0	VICTORIAVILLE Tigres	11	L			BoxScore
59 - 2019-03-22	522	PV Sharapovas	9	CORNWALL Aces	1	L		R3	BoxScore
61 - 2019-03-24	540	IOWA Wild	12	CORNWALL Aces	3	L			BoxScore
63 - 2019-03-26	559	CORNWALL Aces	0	CLEVELAND Monsters	12	L			BoxScore
64 - 2019-03-27	566	PV Sharapovas	10	CORNWALL Aces	2	L		R3	BoxScore
66 - 2019-03-29	583	PROVIDENCE Bruins	10	CORNWALL Aces	1	L			BoxScore
67 - 2019-03-30	595	CORNWALL Aces	0	PROVIDENCE Bruins	11	L			BoxScore
68 - 2019-03-31	610	MANITOBA Moose	5	CORNWALL Aces	3	L			BoxScore
70 - 2019-04-02	625	CORNWALL Aces	2	STOCKTON Flames	9	L			BoxScore
71 - 2019-04-03	634	LAVAL Rockets	11	CORNWALL Aces	1	L			BoxScore
73 - 2019-04-05	651	SAN DIEGO Gulls	9	CORNWALL Aces	2	L			BoxScore
74 - 2019-04-06	661	CORNWALL Aces	1	TUSCON Roadrunners	11	L			BoxScore
76 - 2019-04-08	677	CORNWALL Aces	2	MONT-LAURIER Sommet	8	L			BoxScore
77 - 2019-04-09	689	TUSCON Roadrunners	10	CORNWALL Aces	0	L			BoxScore
78 - 2019-04-10	705	ROCKFORD IceHogs	11	CORNWALL Aces	0	L			BoxScore
80 - 2019-04-12	716	CORNWALL Aces	0	PV Sharapovas	6	L		R3	BoxScore
81 - 2019-04-13	727	CORNWALL Aces	0	ROCKFORD IceHogs	9	L			BoxScore
82 - 2019-04-14	739	CLEVELAND Monsters	11	CORNWALL Aces	1	L			BoxScore
83 - 2019-04-15	755	UTICA Comets	9	CORNWALL Aces	1	L			BoxScore
84 - 2019-04-16	763	CORNWALL Aces	2	COLORADO Eagles	9	L			BoxScore
86 - 2019-04-18	781	SYRACUSE Crunch	2	CORNWALL Aces	10	W			BoxScore
87 - 2019-04-19	791	CORNWALL Aces	1	COLORADO Eagles	7	L			BoxScore
89 - 2019-04-21	807	BROOKLYN Wolfpack	6	CORNWALL Aces	9	W			BoxScore
91 - 2019-04-23	820	CORNWALL Aces	2	CHICAGO Wolves	10	L			BoxScore
93 - 2019-04-25	834	BRIDGEPORT Sound Tigers	12	CORNWALL Aces	2	L			BoxScore
94 - 2019-04-26	846	CORNWALL Aces	5	BRIDGEPORT Sound Tigers	10	L			BoxScore
95 - 2019-04-27	858	MONT-LAURIER Sommet	9	CORNWALL Aces	1	L			BoxScore
97 - 2019-04-29	872	CORNWALL Aces	9	BROOKLYN Wolfpack	3	W			BoxScore
98 - 2019-04-30	888	TORONTO Marlies	11	CORNWALL Aces	2	L			BoxScore
99 - 2019-05-01	897	CORNWALL Aces	2	IOWA Wild	14	L			BoxScore
101 - 2019-05-03	913	MILWAUKEE Admirals	7	CORNWALL Aces	1	L			BoxScore
103 - 2019-05-05	925	CORNWALL Aces	2	TORONTO Marlies	12	L			BoxScore
104 - 2019-05-06	936	PV Sharapovas	11	CORNWALL Aces	2	L		R3	BoxScore
105 - 2019-05-07	943	CORNWALL Aces	1	UTICA Comets	12	L			BoxScore
107 - 2019-05-09	963	VICTORIAVILLE Tigres	10	CORNWALL Aces	2	L			BoxScore
108 - 2019-05-10	976	CORNWALL Aces	2	PV Sharapovas	12	L		R3	BoxScore
109 - 2019-05-11	987	CORNWALL Aces	2	MILWAUKEE Admirals	9	L			BoxScore
111 - 2019-05-13	999	BELLEVILLE Senators	10	CORNWALL Aces	1	L			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
112 - 2019-05-14	1013	CORNWALL Aces	4	MANITOBA Moose	5	L	X		BoxScore
115 - 2019-05-17	1029	WILKIES-BARRIE Penguins	-	CORNWALL Aces	-
117 - 2019-05-19	1043	CHICAGO Wolves	-	CORNWALL Aces	-
118 - 2019-05-20	1053	CORNWALL Aces	-	UTICA Comets	-
119 - 2019-05-21	1065	CORNWALL Aces	-	TORONTO Marlies	-

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
1,111,069$	867,500$	867,500$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	636,031$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	6	11,396$	68,376$

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	7	65	0	2	4	0	0	139	688	-549	39	7	30	0	1	1	0	0	77	331	-254	39	0	35	0	1	3	0	0	62	357	-295	14	139	275	414	1	0	65	47	25	2	1769	554	598	609	8	6256	1710	34	879	39	1	2.56%	7	1	85.71%	0	468	1094	42.78%	534	2282	23.40%	382	1467	26.04%	723	460	3214	491	748	251
30	82	4	75	0	1	2	0	0	83	774	-691	41	3	37	0	0	1	0	0	44	370	-326	41	1	38	0	1	1	0	0	39	404	-365	8	83	166	249	0	0	47	21	14	1	1052	357	384	309	2	7077	2082	12	672	46	0	0.00%	6	1	83.33%	0	240	719	33.38%	414	2350	17.62%	305	1455	20.96%	461	280	3792	486	668	175
31	82	13	67	0	1	0	0	1	256	633	-377	41	7	33	0	1	0	0	0	139	304	-165	41	6	34	0	0	0	0	1	117	329	-212	26	256	393	649	0	1	127	70	58	2	2291	811	715	759	9	3459	1005	256	1069	180	21	11.67%	111	51	54.05%	1	998	1999	49.92%	693	1639	42.28%	741	1618	45.80%	1724	1257	2260	531	939	433
32	78	4	73	0	0	1	0	0	131	778	-647	39	3	36	0	0	0	0	0	69	374	-305	39	1	37	0	0	1	0	0	62	404	-342	9	131	196	327	0	0	60	38	33	0	1509	561	474	474	0	4781	1404	179	1015	151	12	7.95%	73	38	47.95%	0	528	1584	33.33%	462	1869	24.72%	435	1571	27.69%	1123	776	2737	494	819	326
Total Regular Season	320	28	280	0	4	7	0	1	609	2873	-2264	160	20	136	0	2	2	0	0	329	1379	-1050	160	8	144	0	2	5	0	1	280	1494	-1214	57	609	1030	1639	1	1	299	176	130	5	6621	2283	2171	2151	19	21573	6201	481	3635	416	34	8.17%	197	91	53.81%	1	2234	5396	41.40%	2103	8140	25.84%	1863	6111	30.49%	4033	2775	12005	2003	3176	1186