LAAHS - Chicago Wolves

Nordiques
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#	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	Age	Contract	Salary
1	Adam Johnson	X	X			99.00	72	64	91	62	64	77	81	63	79	64	58	63	55	45	45	63	35	60	0	26	1	700,000$
2	Patrick Brown	X		X		100.00	80	77	87	72	77	77	83	53	66	51	50	65	48	46	47	59	43	59	0	28	1	700,000$
3	Mikhail Vorobyev	X				100.00	59	41	90	71	72	56	78	55	85	60	57	66	25	47	47	61	51	59	0	24	1	784,167$
4	Morgan Klimchuk		X			100.00	75	68	90	66	68	61	62	60	50	56	60	64	57	44	44	63	53	58	0	25	1	700,000$
5	Andrew Oglevie			X		100.00	73	65	91	63	65	60	61	60	50	53	62	63	59	44	44	62	32	57	0	26	1	925,000$
6	Vitali Kravtsov			X		100.00	79	71	96	75	71	61	63	55	50	51	54	64	51	44	44	60	52	57	0	21	1	925,002$
7	C.J. Suess		X			100.00	73	69	83	60	69	61	62	58	50	51	61	62	58	44	44	61	50	56	0	26	1	500,000$
8	Ryan Lindgren (R)				X	100.00	81	55	78	61	72	70	86	58	25	56	47	79	25	51	51	62	48	64	0	23	2	925,000$
9	Doyle Somerby				X	100.00	80	83	74	62	83	73	81	46	25	35	39	65	37	52	52	52	60	60	0	26	1	700,000$
10	Calle Rosen				X	100.00	61	41	89	70	65	62	70	64	25	59	47	59	25	56	56	58	26	59	0	27	1	750,000$
11	Kevin Czuczman				X	100.00	79	76	87	66	76	64	68	48	25	40	41	63	39	46	46	53	48	58	0	30	1	700,000$
12	Ian McCoshen				X	100.00	76	80	66	60	80	70	77	47	25	37	40	62	38	50	50	51	56	58	0	25	1	700,000$
13	Eric Knodel				X	100.00	88	83	99	55	83	58	60	52	25	50	39	68	37	44	44	55	51	58	0	30	1	750,000$
14	Aaron Ness				X	100.00	69	42	99	69	66	60	72	58	25	43	47	59	25	52	52	57	51	58	0	30	1	725,000$
15	Martin Fehervary (R)				X	100.00	75	72	83	72	72	66	71	47	25	38	41	60	39	44	44	53	51	57	0	21	1	805,835$
16	Josh Brook (R)				X	100.00	73	71	79	69	71	73	80	47	25	37	41	59	39	44	44	52	49	57	0	21	1	795,000$
17	Cavan Fitzgerald				X	100.00	73	68	86	65	68	59	63	47	25	36	41	62	39	54	54	52	50	56	0	24	1	656,667$
Scratches
1	Mitchell Stephens	X				95.27	73	43	91	65	70	57	64	60	86	58	58	74	25	47	47	63	43	59	0	24	1	833,333$

	TEAM AVERAGE					99.67	74	65	87	66	72	65	71	54	43	49	49	64	40	47	48	58	47	58

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Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Pat Nagle	100.00	64	61	76	65	65	64	62	69	64	64	30	44	44	64	33	61	0
2	Kyle Keyser (R)	100.00	49	56	70	69	47	49	50	55	48	48	30	44	44	50	52	52	0
Scratches
1	David Ayres (R)	100.00	40	40	50	73	40	40	40	44	40	40	30	44	44	41	21	44	0

	TEAM AVERAGE	100.00	51	52	65	69	51	51	51	56	51	51	30	44	44	52	35	52

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Kevin Dean	66	78	72	62	77	71	73	USA	51	2	60,000$

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Adam Johnson	Chicago Wolves (QUE)	C/LW	36	24	34	58	-24	73	35	53	63	193	56	106	12.44%	37	884	24.56	4	14	18	16	63	0	0	0	0	63	1	0	60.26%	78	40	23	0	1.31	1	2	2	4	1	2	4	2
2	Morgan Klimchuk	Chicago Wolves (QUE)	LW	40	33	24	57	13	30	10	63	53	153	43	68	21.57%	22	722	18.07	10	3	13	19	55	0	0	0	0	13	4	2	40.00%	30	45	21	1	1.58	0	0	0	0	2	6	1	2
3	Mikhail Vorobyev	Chicago Wolves (QUE)	C	40	21	30	51	12	16	0	47	89	144	38	85	14.58%	26	747	18.70	1	6	7	8	52	0	1	1	1	28	0	1	60.03%	608	30	19	2	1.36	0	0	0	0	0	2	2	3
4	C.J. Smith	Nordiques	C/LW/RW	31	19	27	46	-25	27	15	42	92	133	51	90	14.29%	35	773	24.96	5	9	14	14	52	0	0	0	1	58	0	1	42.87%	954	29	19	0	1.19	0	2	1	1	1	2	1	3
5	Vitali Kravtsov	Chicago Wolves (QUE)	RW	40	22	24	46	15	5	5	56	62	119	39	66	18.49%	18	702	17.57	7	3	10	15	53	0	0	0	0	0	3	1	45.95%	37	30	10	1	1.31	0	0	0	0	1	1	3	3
6	Patrick Brown	Chicago Wolves (QUE)	C/RW	34	17	26	43	-12	32	20	50	56	100	28	65	17.00%	29	700	20.60	8	7	15	12	60	1	0	1	1	23	1	0	51.69%	89	26	17	1	1.23	1	1	1	1	2	2	1	2
7	Doyle Somerby	Chicago Wolves (QUE)	D	38	3	27	30	18	78	40	70	64	48	16	21	6.25%	67	906	23.85	2	11	13	9	69	0	0	0	1	62	0	0	0.00%	0	4	36	0	0.66	0	0	3	1	4	0	2	3
8	Mitchell Stephens	Chicago Wolves (QUE)	C	39	8	20	28	3	5	5	47	60	99	29	61	8.08%	41	589	15.11	0	3	3	0	11	0	0	0	0	16	3	0	55.26%	266	18	16	0	0.95	0	0	0	0	1	1	2	0
9	Andrew Oglevie	Chicago Wolves (QUE)	RW	39	17	9	26	3	0	0	43	41	96	31	51	17.71%	21	533	13.68	0	0	0	0	7	0	0	0	0	0	2	1	33.33%	18	18	21	1	0.97	0	0	0	0	0	2	0	2
10	C.J. Suess	Chicago Wolves (QUE)	LW	40	11	10	21	2	17	15	44	44	89	25	55	12.36%	20	609	15.23	3	0	3	7	9	0	0	0	0	34	0	2	43.24%	37	13	13	1	0.69	0	0	0	1	2	1	1	0
11	Kevin Czuczman	Chicago Wolves (QUE)	D	40	2	15	17	-14	41	25	34	41	39	20	12	5.13%	47	714	17.87	0	5	5	6	48	0	1	1	1	47	0	0	0.00%	0	6	37	0	0.48	0	0	2	3	0	0	0	1
12	Calle Rosen	Chicago Wolves (QUE)	D	11	3	12	15	8	0	0	7	15	22	8	13	13.64%	17	275	25.05	3	4	7	4	26	0	0	0	1	21	0	0	0.00%	0	4	7	0	1.09	0	0	0	0	0	2	0	1
13	Ian McCoshen	Chicago Wolves (QUE)	D	40	2	12	14	-16	65	25	34	38	26	9	10	7.69%	43	720	18.01	2	0	2	2	52	0	0	0	0	39	1	0	0.00%	0	2	25	0	0.39	0	0	2	1	2	0	0	0
14	Lawrence Pilut	Nordiques	D	19	1	9	10	-2	7	5	16	38	26	16	15	3.85%	49	466	24.57	1	1	2	2	35	0	0	0	0	40	0	0	0.00%	0	6	23	0	0.43	0	0	0	0	1	0	0	1
15	Brent Pedersen	Nordiques	LW	38	3	5	8	-14	5	5	16	17	11	5	9	27.27%	6	278	7.34	0	0	0	0	2	0	0	0	0	1	0	0	61.54%	13	3	11	0	0.57	0	0	0	1	0	0	0	0
16	Eric Knodel	Chicago Wolves (QUE)	D	40	0	5	5	-8	4	0	16	28	15	7	7	0.00%	37	479	12.00	0	0	0	0	1	0	1	1	0	14	0	0	50.00%	2	1	26	0	0.21	0	0	0	0	0	0	0	1
17	Martin Fehervary	Chicago Wolves (QUE)	D	40	0	2	2	0	8	0	4	8	2	3	1	0.00%	9	232	5.80	0	0	0	0	0	0	0	0	1	0	0	0	0.00%	0	1	8	0	0.17	0	0	0	0	0	0	0	0
18	Aaron Ness	Chicago Wolves (QUE)	D	40	0	2	2	-8	2	0	6	23	19	10	10	0.00%	16	494	12.35	0	0	0	0	6	0	0	0	0	25	0	0	0.00%	0	2	13	0	0.08	0	0	0	0	0	0	0	0
19	Cavan Fitzgerald	Chicago Wolves (QUE)	D	37	0	1	1	-5	7	5	2	0	1	0	0	0.00%	2	66	1.81	0	1	1	0	6	0	0	0	0	0	0	0	66.67%	3	0	3	0	0.30	0	0	0	0	1	0	0	0
20	Josh Brook	Chicago Wolves (QUE)	D	40	0	0	0	0	16	10	3	12	3	1	2	0.00%	4	226	5.66	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	2	0	0.00	0	0	0	1	1	0	0	0
Team Total or Average				722	186	294	480	-54	438	220	653	844	1338	435	747	13.90%	546	11126	15.41	46	67	113	114	614	1	3	4	7	492	15	8	50.40%	2135	278	350	7	0.86	2	5	11	14	19	21	17	24

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3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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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.
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#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2
1	Kyle Keyser	Chicago Wolves (QUE)	18	9	8	0	0.884	4.75	1036	4	82	709	441	1	0	0.667	3	18	29	0	1
2	Pat Nagle	Chicago Wolves (QUE)	19	7	8	4	0.892	4.19	1117	0	78	722	402	2	3	0.000	2	19	0	1	0
3	David Ayres	Chicago Wolves (QUE)	3	0	2	0	0.847	6.82	132	0	15	98	66	0	0	0.000	0	1	9	0	0
Team Total or Average			40	16	18	4	0.886	4.59	2286	4	175	1529	909	3	3	0.400	5	38	38	1	1

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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 Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Aaron Ness	Chicago Wolves (QUE)	D	30	1990-05-18	No	184 Lbs	5 ft11	No	No	No	1	Pro & Farm	725,000$	0$	0$	No			Link
Adam Johnson	Chicago Wolves (QUE)	C/LW	26	1994-06-22	No	174 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link
Andrew Oglevie	Chicago Wolves (QUE)	RW	26	1995-02-16	No	181 Lbs	5 ft10	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Link
C.J. Suess	Chicago Wolves (QUE)	LW	26	1994-03-17	No	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	500,000$	0$	0$	No			Link
Calle Rosen	Chicago Wolves (QUE)	D	27	1994-02-02	No	176 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Cavan Fitzgerald	Chicago Wolves (QUE)	D	24	1996-08-23	No	186 Lbs	6 ft0	No	No	No	1	Pro & Farm	656,667$	0$	0$	No			Link
David Ayres	Chicago Wolves (QUE)	G	43	1977-08-12	Yes	201 Lbs	6 ft0	Yes	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Doyle Somerby	Chicago Wolves (QUE)	D	26	1994-07-04	No	218 Lbs	6 ft6	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link
Eric Knodel	Chicago Wolves (QUE)	D	30	1990-06-08	No	216 Lbs	6 ft6	Yes	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Ian McCoshen	Chicago Wolves (QUE)	D	25	1995-08-05	No	217 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link
Josh Brook	Chicago Wolves (QUE)	D	21	1999-06-17	Yes	192 Lbs	6 ft1	No	No	No	1	Pro & Farm	795,000$	0$	0$	No
Kevin Czuczman	Chicago Wolves (QUE)	D	30	1991-01-09	No	206 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link
Kyle Keyser	Chicago Wolves (QUE)	G	21	1999-03-08	Yes	178 Lbs	6 ft2	No	No	No	3	Pro & Farm	733,333$	0$	0$	No	733,333$	733,333$	Link
Martin Fehervary	Chicago Wolves (QUE)	D	21	1999-10-06	Yes	194 Lbs	6 ft2	No	No	No	1	Pro & Farm	805,835$	0$	0$	No			Link
Mikhail Vorobyev	Chicago Wolves (QUE)	C	24	1997-01-04	No	194 Lbs	6 ft2	No	No	No	1	Pro & Farm	784,167$	0$	0$	No			Link
Mitchell Stephens	Chicago Wolves (QUE)	C	24	1997-02-05	No	191 Lbs	6 ft0	No	No	No	1	Pro & Farm	833,333$	0$	0$	No			Link
Morgan Klimchuk	Chicago Wolves (QUE)	LW	25	1995-03-01	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link
Pat Nagle	Chicago Wolves (QUE)	G	33	1987-09-21	No	170 Lbs	6 ft2	Yes	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Patrick Brown	Chicago Wolves (QUE)	C/RW	28	1992-05-29	No	210 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link
Ryan Lindgren	Chicago Wolves (QUE)	D	23	1998-02-10	Yes	198 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Link
Vitali Kravtsov	Chicago Wolves (QUE)	RW	21	1999-12-23	No	183 Lbs	6 ft4	No	No	No	1	Pro & Farm	925,002$	0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	26.38	193 Lbs	6 ft1	1.14	752,778$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Morgan Klimchuk	Adam Johnson	Patrick Brown	40	1	2	2
2	C.J. Suess	Mikhail Vorobyev	Vitali Kravtsov	30	1	2	2
3	Mikhail Vorobyev	Adam Johnson	Andrew Oglevie	20	1	2	2
4	Morgan Klimchuk	Patrick Brown	Vitali Kravtsov	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Calle Rosen	Aaron Ness	40	1	2	2
2	Eric Knodel	Ian McCoshen	30	1	2	2
3	Kevin Czuczman	Josh Brook	20	1	2	2
4	Martin Fehervary	Cavan Fitzgerald	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Morgan Klimchuk	Adam Johnson	Patrick Brown	60	1	2	2
2	C.J. Suess	Mikhail Vorobyev	Vitali Kravtsov	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Calle Rosen	Aaron Ness	60	1	2	2
2	Eric Knodel	Ian McCoshen	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Adam Johnson	Mikhail Vorobyev	60	1	2	2
2	Patrick Brown	Morgan Klimchuk	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Calle Rosen	Aaron Ness	60	1	2	2
2	Eric Knodel	Ian McCoshen	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Adam Johnson	60	1	2	2	Calle Rosen	Aaron Ness	60	1	2	2
2	Mikhail Vorobyev	40	1	2	2	Eric Knodel	Ian McCoshen	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Adam Johnson	Mikhail Vorobyev	60	1	2	2
2	Patrick Brown	Morgan Klimchuk	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Calle Rosen	Aaron Ness	60	1	2	2
2	Eric Knodel	Ian McCoshen	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Morgan Klimchuk	Adam Johnson	Patrick Brown	Calle Rosen	Aaron Ness

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Morgan Klimchuk	Adam Johnson	Patrick Brown	Calle Rosen	Aaron Ness

Extra Forwards
Normal	PowerPlay	Penalty Kill
Andrew Oglevie, C.J. Suess, Vitali Kravtsov	Andrew Oglevie, C.J. Suess	Vitali Kravtsov

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Kevin Czuczman, Josh Brook, Martin Fehervary	Kevin Czuczman	Josh Brook, Martin Fehervary

Penalty Shots
Adam Johnson, Mikhail Vorobyev, Patrick Brown, Morgan Klimchuk, Vitali Kravtsov

Goalie
#1 : Pat Nagle, #2 : Kyle Keyser

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

Custom OT Lines Defensemen
, , , ,

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	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	Boisbriand Armada	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	8	10	18	1	0	40	84	70	4	55	392	535	430	14	83	30	14	37	8	3	37.50%	2	0	100.00%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
2	Bridgeport Sound Tigers	3	0	3	0	0	0	0	0	10	16	-6	2	0	2	0	0	0	0	0	8	12	-4	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	10	16	26	0	0	40	84	70	4	93	392	535	430	14	105	59	31	67	6	1	16.67%	8	2	75.00%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
3	Calgary Hitman	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	1	4	2	1.000	5	7	12	0	0	40	84	70	4	39	392	535	430	14	45	13	5	17	3	3	100.00%	0	0	0.00%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
4	Chicoutimi Sagueneens	3	0	1	0	0	0	1	1	14	17	-3	1	0	0	0	0	0	0	1	3	4	-1	2	0	1	0	0	0	1	0	11	13	-2	3	0.500	14	19	33	0	0	40	84	70	4	92	392	535	430	14	123	41	14	45	10	4	40.00%	7	4	42.86%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
5	Drummondville Voltigeurs	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	40	84	70	4	43	392	535	430	14	36	19	15	16	6	1	16.67%	5	2	60.00%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
6	Grand Rapids Griffins	7	5	2	0	0	0	0	0	53	30	23	3	1	2	0	0	0	0	0	22	18	4	4	4	0	0	0	0	0	0	31	12	19	10	0.714	53	83	136	0	0	40	84	70	4	256	392	535	430	14	312	113	78	108	23	17	73.91%	19	9	52.63%	2	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
7	Hartford Wolf Pack	3	1	1	0	0	1	0	0	19	19	0	3	1	1	0	0	1	0	0	19	19	0	0	0	0	0	0	0	0	0	0	0	0	3	0.500	19	32	51	0	0	40	84	70	4	116	392	535	430	14	130	49	29	44	8	3	37.50%	12	7	41.67%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
8	Hershey Bears	4	1	1	0	1	1	0	0	22	17	5	2	1	1	0	0	0	0	0	12	7	5	2	0	0	0	1	1	0	0	10	10	0	5	0.625	22	34	56	0	0	40	84	70	4	147	392	535	430	14	156	42	51	73	8	3	37.50%	8	2	75.00%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
9	Laval Rockets	2	2	0	0	0	0	0	0	13	6	7	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	7	2	5	4	1.000	13	21	34	0	0	40	84	70	4	85	392	535	430	14	85	25	32	28	2	1	50.00%	6	2	66.67%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
10	Lowell Devils	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	40	84	70	4	33	392	535	430	14	36	8	16	17	4	0	0.00%	3	0	100.00%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
11	Philadelphia Phantoms	2	0	2	0	0	0	0	0	4	12	-8	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	4	7	11	0	0	40	84	70	4	63	392	535	430	14	79	21	22	29	3	0	0.00%	6	3	50.00%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
12	Quebec Rempart	1	0	1	0	0	0	0	0	3	10	-7	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	10	-7	0	0.000	3	5	8	0	0	40	84	70	4	36	392	535	430	14	46	14	31	16	4	1	25.00%	3	3	0.00%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
13	Rimouski Oceanic	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	40	84	70	4	38	392	535	430	14	30	8	23	12	3	1	33.33%	4	1	75.00%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
14	Rochester Americans	1	0	0	0	0	1	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	5	6	-1	1	0.500	5	9	14	0	0	40	84	70	4	20	392	535	430	14	31	15	5	19	3	1	33.33%	0	0	0.00%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
15	Texas Stars	3	1	1	0	1	0	0	0	15	13	2	1	1	0	0	0	0	0	0	6	3	3	2	0	1	0	1	0	0	0	9	10	-1	4	0.667	15	24	39	1	0	40	84	70	4	115	392	535	430	14	113	33	54	59	9	5	55.56%	7	2	71.43%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
16	Toronto Marlies	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	40	84	70	4	16	392	535	430	14	26	16	2	17	1	1	100.00%	1	1	0.00%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
17	Worcester Sharks	4	1	3	0	0	0	0	0	17	18	-1	1	1	0	0	0	0	0	0	7	2	5	3	0	3	0	0	0	0	0	10	16	-6	2	0.250	17	27	44	2	0	40	84	70	4	119	392	535	430	14	164	62	48	80	6	4	66.67%	9	3	66.67%	0	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
	Total	40	13	20	0	2	3	1	1	197	193	4	20	7	11	0	0	1	0	1	100	99	1	20	6	9	0	2	2	1	0	97	94	3	36	0.450	197	310	507	4	0	40	84	70	4	1366	392	535	430	14	1600	568	470	684	107	49	45.79%	100	41	59.00%	2	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
	_Since Last GM Reset	40	13	20	0	2	3	1	1	197	193	4	20	7	11	0	0	1	0	1	100	99	1	20	6	9	0	2	2	1	0	97	94	3	36	0.450	197	310	507	4	0	40	84	70	4	1366	392	535	430	14	1600	568	470	684	107	49	45.79%	100	41	59.00%	2	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388
	_Vs Conference	33	11	16	0	2	2	1	1	172	164	8	16	6	8	0	0	1	0	1	88	82	6	17	5	8	0	2	1	1	0	84	82	2	31	0.470	172	271	443	3	0	40	84	70	4	1160	392	535	430	14	1343	467	413	561	82	40	48.78%	89	38	57.30%	2	376	757	49.67%	400	871	45.92%	359	760	47.24%	766	398	887	376	768	388

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
40	36	L1	197	310	507	1366	1600	568	470	684	4	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	13	20	2	3	1	1	197	193

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	7	11	0	1	0	1	100	99

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	6	9	2	2	1	0	97	94

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	3	1	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
107	49	45.79%	100	41	59.00%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
392	535	430	14	40	84	70	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
376	757	49.67%	400	871	45.92%	359	760	47.24%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
766	398	887	376	768	388

Last Played Games Show or Hide Column

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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.
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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 - 2020-11-10	5	Chicago Wolves	8	Grand Rapids Griffins	3	W			BoxScore
3 - 2020-11-12	22	Grand Rapids Griffins	2	Chicago Wolves	12	W			BoxScore
4 - 2020-11-13	38	Chicago Wolves	7	Grand Rapids Griffins	4	W			BoxScore
5 - 2020-11-14	46	Chicago Wolves	5	Chicoutimi Sagueneens	8	L			BoxScore
7 - 2020-11-16	60	Grand Rapids Griffins	11	Chicago Wolves	7	L			BoxScore
10 - 2020-11-19	83	Philadelphia Phantoms	7	Chicago Wolves	3	L			BoxScore
12 - 2020-11-21	104	Bridgeport Sound Tigers	6	Chicago Wolves	4	L			BoxScore
13 - 2020-11-22	118	Chicago Wolves	5	Worcester Sharks	7	L			BoxScore
15 - 2020-11-24	129	Chicago Wolves	6	Chicoutimi Sagueneens	5	W	X	X	BoxScore
16 - 2020-11-25	142	Chicago Wolves	1	Philadelphia Phantoms	5	L			BoxScore
17 - 2020-11-26	155	Hartford Wolf Pack	4	Chicago Wolves	7	W			BoxScore
19 - 2020-11-28	176	Rimouski Oceanic	6	Chicago Wolves	2	L			BoxScore
21 - 2020-11-30	187	Chicago Wolves	2	Bridgeport Sound Tigers	4	L			BoxScore
23 - 2020-12-02	209	Chicoutimi Sagueneens	4	Chicago Wolves	3	L	X	X	BoxScore
25 - 2020-12-04	227	Bridgeport Sound Tigers	6	Chicago Wolves	4	L			BoxScore
27 - 2020-12-06	241	Chicago Wolves	4	Hershey Bears	5	L	X		BoxScore
29 - 2020-12-08	258	Hershey Bears	2	Chicago Wolves	9	W			BoxScore
30 - 2020-12-09	269	Chicago Wolves	6	Hershey Bears	5	W	X		BoxScore
32 - 2020-12-11	285	Hartford Wolf Pack	8	Chicago Wolves	7	L	X		BoxScore
34 - 2020-12-13	300	Chicago Wolves	3	Worcester Sharks	5	L			BoxScore
35 - 2020-12-14	317	Chicago Wolves	3	Boisbriand Armada	5	L			BoxScore
37 - 2020-12-16	331	Grand Rapids Griffins	5	Chicago Wolves	3	L			BoxScore
39 - 2020-12-18	348	Hartford Wolf Pack	7	Chicago Wolves	5	L			BoxScore
41 - 2020-12-20	363	Chicago Wolves	3	Quebec Rempart	10	L			BoxScore
42 - 2020-12-21	381	Worcester Sharks	2	Chicago Wolves	7	W			BoxScore
44 - 2020-12-23	396	Chicago Wolves	7	Laval Rockets	2	W			BoxScore
45 - 2020-12-24	408	Chicago Wolves	7	Grand Rapids Griffins	3	W			BoxScore
47 - 2020-12-26	423	Toronto Marlies	6	Chicago Wolves	4	L			BoxScore
49 - 2020-12-28	440	Chicago Wolves	4	Texas Stars	6	L			BoxScore
51 - 2020-12-30	455	Lowell Devils	5	Chicago Wolves	1	L			BoxScore
53 - 2021-01-01	473	Chicago Wolves	5	Rochester Americans	6	L	X		BoxScore
55 - 2021-01-03	489	Boisbriand Armada	2	Chicago Wolves	5	W			BoxScore
57 - 2021-01-05	504	Hershey Bears	5	Chicago Wolves	3	L			BoxScore
59 - 2021-01-07	526	Chicago Wolves	2	Worcester Sharks	4	L			BoxScore
61 - 2021-01-09	542	Texas Stars	3	Chicago Wolves	6	W			BoxScore
63 - 2021-01-11	559	Chicago Wolves	5	Calgary Hitman	1	W			BoxScore
64 - 2021-01-12	573	Laval Rockets	4	Chicago Wolves	6	W			BoxScore
65 - 2021-01-13	585	Chicago Wolves	5	Texas Stars	4	W	X		BoxScore
67 - 2021-01-15	598	Chicago Wolves	9	Grand Rapids Griffins	2	W			BoxScore
68 - 2021-01-16	614	Drummondville Voltigeurs	4	Chicago Wolves	2	L			BoxScore
71 - 2021-01-19	633	London Knights	-	Chicago Wolves	-
73 - 2021-01-21	648	Chicago Wolves	-	Sherbrooke Phoenix	-
74 - 2021-01-22	663	Milwaukee Admirals	-	Chicago Wolves	-
76 - 2021-01-24	682	Chicago Wolves	-	Bridgeport Sound Tigers	-
77 - 2021-01-25	691	Chicago Wolves	-	Peoria Riverman	-
79 - 2021-01-27	704	Peoria Riverman	-	Chicago Wolves	-
81 - 2021-01-29	724	Chicago Wolves	-	Victoriaville Tigres	-
82 - 2021-01-30	734	Las Vegas Wranglers	-	Chicago Wolves	-
84 - 2021-02-01	758	Bridgeport Sound Tigers	-	Chicago Wolves	-
85 - 2021-02-02	774	Chicago Wolves	-	Bridgeport Sound Tigers	-
87 - 2021-02-04	784	Chicago Wolves	-	Hartford Wolf Pack	-
88 - 2021-02-05	800	Portland Pirates	-	Chicago Wolves	-
91 - 2021-02-08	820	Chicoutimi Sagueneens	-	Chicago Wolves	-
93 - 2021-02-10	836	Chicago Wolves	-	Philadelphia Phantoms	-
94 - 2021-02-11	849	Chicoutimi Sagueneens	-	Chicago Wolves	-
95 - 2021-02-12	861	Chicago Wolves	-	Manchester Monarchs	-
98 - 2021-02-15	881	Chicago Wolves	-	Brampton Battalion	-
99 - 2021-02-16	892	Quebec Rempart	-	Chicago Wolves	-
102 - 2021-02-19	914	Seattle Thunderbirds	-	Chicago Wolves	-
104 - 2021-02-21	936	Grand Rapids Griffins	-	Chicago Wolves	-
105 - 2021-02-22	944	Chicago Wolves	-	Binghampton Senators	-
107 - 2021-02-24	962	Chicago Wolves	-	Philadelphia Phantoms	-
109 - 2021-02-26	977	Seattle Thunderbirds	-	Chicago Wolves	-
111 - 2021-02-28	999	Rimouski Oceanic	-	Chicago Wolves	-
113 - 2021-03-02	1014	Chicago Wolves	-	Rimouski Oceanic	-
114 - 2021-03-03	1026	Peoria Riverman	-	Chicago Wolves	-
115 - 2021-03-04	1034	Chicago Wolves	-	Manitoba Moose	-
117 - 2021-03-06	1057	Philadelphia Phantoms	-	Chicago Wolves	-
119 - 2021-03-08	1072	Chicago Wolves	-	Chicoutimi Sagueneens	-
120 - 2021-03-09	1081	Chicago Wolves	-	Seattle Thunderbirds	-
121 - 2021-03-10	1094	Chicago Wolves	-	Grand Rapids Griffins	-
123 - 2021-03-12	1111	Portland Pirates	-	Chicago Wolves	-
126 - 2021-03-15	1131	Quebec Rempart	-	Chicago Wolves	-
128 - 2021-03-17	1150	Manitoba Moose	-	Chicago Wolves	-
130 - 2021-03-19	1173	Chicago Wolves	-	Lake Erie Monsters	-
131 - 2021-03-20	1178	Chicago Wolves	-	Portland Pirates	-
133 - 2021-03-22	1192	Philadelphia Phantoms	-	Chicago Wolves	-
135 - 2021-03-24	1214	Rimouski Oceanic	-	Chicago Wolves	-
Trade Deadline --- Trades can’t be done after this day is simulated!
137 - 2021-03-26	1222	Chicago Wolves	-	Laval Rockets	-
138 - 2021-03-27	1226	Chicago Wolves	-	Chicoutimi Sagueneens	-
139 - 2021-03-28	1235	Chicago Wolves	-	Portland Pirates	-
142 - 2021-03-31	1256	Manitoba Moose	-	Chicago Wolves	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	25	10
Attendance	39,284	19,677
Attendance PCT	98.21%	98.39%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
21	2948 - 98.27%	87,826$	1,756,516$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
819,357$	1,580,834$	1,555,834$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	819,357$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,844,342$	75	11,316$	848,700$

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	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

	Chicago Wolves
	GP: 40 \| W: 16 \| L: 20 \| OTL: 4 \| P: 36 GF: 197 \| GA: 193 \| PP%: 45.79% \| PK%: 59.00% GM : Camil Costandi \| Morale : 41 \| Team Overall : 57 Next Games #633 vs London Knights