LHSDB - Ligue de hockey simulee des debiles barbus

Carolina Hurricanes
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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
1	Kirby Dach	X		X		100.00	57	36	89	74	86	84	78	75	80	73	67	69	76	62	68	92	50	69	0
2	Nils Hoglander (R)		X	X		100.00	57	35	91	76	67	83	82	77	56	71	74	62	79	61	64	76	50	68	0
3	Colin White	X		X		100.00	72	43	83	73	77	87	78	71	74	72	63	66	69	67	64	80	50	67	0
4	Cole Caufield (R)			X		100.00	53	35	94	77	63	80	71	76	55	67	73	62	78	61	65	86	50	66	0
5	Tyler Graovac	X				100.00	65	39	89	63	91	83	77	64	78	62	69	63	68	75	67	42	50	65	0
6	Alex Belzile	X		X		100.00	58	35	95	63	74	78	80	63	62	67	61	64	62	78	71	35	50	64	0
7	Gerald Mayhew		X	X		100.00	68	35	94	66	62	73	74	66	68	64	66	65	66	77	72	36	50	64	0
8	Micheal Ferland		X	X		100.00	85	72	78	63	81	78	72	63	57	68	64	62	65	77	69	45	50	64	0
9	Stefan Noesen			X		100.00	82	41	76	63	78	77	81	64	58	62	66	59	64	75	69	68	50	64	0
10	Akil Thomas (R)	X				100.00	61	38	87	67	69	86	91	64	76	62	61	57	68	60	62	73	50	63	0
11	Rem Pitlick	X	X			100.00	57	39	87	62	72	84	73	65	74	62	63	56	64	67	65	66	50	62	0
12	Sven Baertschi		X			100.00	58	36	79	67	70	74	73	66	58	67	60	55	64	77	73	69	50	62	0
13	Tyler Steenbergen		X			100.00	61	35	91	61	70	84	89	59	57	58	60	56	57	65	63	57	50	60	0
14	Cal Foote				X	100.00	75	55	72	65	92	79	86	63	30	64	58	66	52	65	67	83	50	67	0
15	Madison Bowey				X	100.00	73	51	78	66	81	82	76	68	30	75	61	64	53	71	65	67	50	66	0
16	Sean Durzi				X	100.00	62	37	78	63	71	78	83	61	30	62	54	60	47	65	63	71	50	62	0
17	Ethan Prow				X	100.00	59	42	84	63	68	74	79	63	30	66	58	59	50	77	69	36	50	62	0
18	Kale Clague				X	100.00	56	35	92	64	70	81	75	65	30	68	57	59	51	65	63	71	50	62	0
19	Thomas Gregoire				X	100.00	57	42	83	60	66	78	83	61	30	63	56	59	46	65	63	51	50	61	0
Scratches
1	Kevin Roy		X			100.00	55	39	86	63	64	85	90	63	68	65	61	57	62	75	68	52	50	63	0
2	Oskar Steen	X	X	X		100.00	84	34	79	65	67	79	75	66	71	60	59	55	63	65	67	59	50	62	0
3	Anthony Louis		X			100.00	58	37	88	66	61	83	86	65	75	62	61	58	64	71	69	56	50	62	0
4	Jack Quinn (R)			X		100.00	62	35	82	66	72	81	76	63	58	64	59	56	65	61	59	89	50	61	0
5	Blake Speers	X				100.00	62	43	81	59	69	74	79	58	65	56	57	55	58	67	64	63	50	58	0
6	Matt Filipe (R)	X				100.00	71	55	68	56	80	73	78	54	57	55	58	56	54	67	64	65	50	58	0
7	Skyler McKenzie		X			100.00	59	37	88	59	61	82	83	57	53	56	58	52	59	65	63	51	50	58	0
8	Adam Clendening				X	100.00	64	59	64	63	73	87	92	65	30	68	56	61	52	77	69	62	50	65	0
9	Anton Lindholm				X	100.00	60	35	95	64	71	82	78	62	30	63	56	65	52	73	67	53	50	64	0
10	David Warsofsky				X	100.00	63	54	73	62	65	76	81	59	30	65	58	55	49	79	71	53	50	61	0
11	Dylan Blujus				X	100.00	73	52	76	56	82	77	72	55	30	53	54	57	46	73	67	64	50	61	0
12	James de Haas				X	100.00	79	51	78	54	88	60	65	54	30	55	54	59	46	73	67	42	50	60	0
13	Linus Hogberg				X	100.00	64	35	93	55	73	72	77	55	30	57	54	55	46	65	63	56	50	59	0

	TEAM AVERAGE					100.00	65	42	83	64	73	79	79	63	52	64	61	60	59	69	66	62	50	63

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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
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	75	81	80	79	74	73	75	74	73	75	74	77	83	58	50	74	0
2	J-F Berube	100.00	70	89	87	73	69	68	70	69	68	70	69	78	84	50	50	71	0
Scratches
1	Hunter Jones (R)	100.00	70	83	81	85	69	68	70	69	68	70	69	61	65	69	50	69	0

	TEAM AVERAGE	100.00	72	84	83	79	71	70	72	71	70	72	71	72	77	59	50	71

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ian Laperriere	64	66	69	67	71	66	78	CAN	48	3	1,000,000$

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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
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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Colin White	Checkers (Car)	C/RW	53	24	41	65	47	56	10	105	103	128	36	89	18.75%	8	927	17.50	3	9	12	25	189	1	0	1	4	83	5	0	61.23%	1006	0	1.40	3	6	1	1	0	6	4	5
2	Cole Caufield	Checkers (Car)	RW	53	21	41	62	46	2	0	12	85	192	49	125	10.94%	5	838	15.83	6	13	19	51	189	0	0	0	0	0	4	1	60.38%	53	2	1.48	0	0	0	0	0	3	4	5
3	Kirby Dach	Checkers (Car)	C/RW	53	32	29	61	0	57	5	130	206	317	98	231	10.09%	17	1310	24.72	14	20	34	80	265	1	1	2	10	215	7	1	63.72%	1480	3	0.93	1	7	0	0	1	10	6	1
4	Madison Bowey	Checkers (Car)	D	53	19	33	52	22	72	10	90	69	106	35	75	17.92%	46	1165	21.98	12	15	27	83	257	1	0	1	1	182	3	1	0.00%	0	0	0.89	0	0	1	1	0	4	7	2
5	Gerald Mayhew	Checkers (Car)	LW/RW	53	17	28	45	46	28	0	49	37	107	28	95	15.89%	8	841	15.87	4	7	11	25	189	0	0	0	0	0	2	3	66.07%	56	0	1.07	0	0	0	0	0	2	3	7
6	Sean Durzi	Checkers (Car)	D	53	10	21	31	21	51	5	87	47	77	19	35	12.99%	52	1089	20.55	6	7	13	55	210	0	0	0	0	160	2	0	0.00%	0	0	0.57	0	0	0	1	0	1	1	1
7	Christian Djoos	Carolina Hurricanes	D	43	5	24	29	13	18	0	22	50	87	26	47	5.75%	33	917	21.34	4	12	16	65	182	0	2	2	1	147	2	0	0.00%	0	0	0.63	0	0	0	0	0	0	0	1
8	Cal Foote	Checkers (Car)	D	43	6	23	29	20	89	15	83	40	96	35	68	6.25%	52	1016	23.63	4	10	14	77	214	0	0	0	2	134	0	1	0.00%	0	0	0.57	0	0	0	2	1	1	1	2
9	Micheal Ferland	Checkers (Car)	LW/RW	53	11	8	19	15	100	20	80	29	92	19	67	11.96%	3	502	9.47	0	0	0	0	0	0	0	0	0	0	1	0	41.67%	24	0	0.76	0	0	0	0	3	2	1	1
10	Alex Belzile	Checkers (Car)	C/RW	53	6	11	17	15	12	0	6	29	87	20	76	6.90%	2	510	9.64	0	0	0	0	0	0	0	0	0	1	1	1	67.86%	28	0	0.67	0	0	0	0	0	0	1	1
11	Kale Clague	Checkers (Car)	D	53	2	15	17	25	32	0	29	35	22	3	12	9.09%	27	753	14.22	0	0	0	0	1	0	2	2	1	87	1	0	0.00%	0	0	0.45	0	0	0	0	0	0	0	1
12	Ethan Prow	Checkers (Car)	D	53	4	12	16	22	57	15	63	16	28	11	10	14.29%	28	695	13.13	1	0	1	7	16	0	0	0	0	8	2	0	0.00%	0	0	0.46	0	0	0	1	1	0	1	0
13	Tyler Graovac	Checkers (Car)	C	53	6	10	16	16	9	5	9	75	102	25	92	5.88%	9	633	11.95	0	0	0	0	0	0	0	0	8	106	3	0	66.51%	648	0	0.51	0	0	0	0	1	0	2	3
14	Stefan Noesen	Checkers (Car)	RW	53	5	9	14	15	16	0	43	19	45	20	51	11.11%	0	281	5.32	0	0	0	0	0	0	0	0	0	0	1	0	57.14%	14	0	0.99	0	0	0	0	0	2	1	0
15	Rem Pitlick	Checkers (Car)	C/LW	53	6	7	13	15	2	0	6	9	40	11	26	15.00%	2	281	5.32	0	0	0	0	0	0	0	0	0	0	1	0	73.33%	15	0	0.92	0	0	0	0	0	0	2	2
16	Akil Thomas	Checkers (Car)	C	53	4	7	11	15	0	0	9	28	50	5	27	8.00%	3	281	5.32	0	0	0	0	0	0	0	0	0	0	1	0	63.19%	288	0	0.78	0	0	0	0	0	0	1	2
17	Thomas Gregoire	Checkers (Car)	D	53	3	3	6	10	8	0	14	8	14	5	8	21.43%	13	258	4.87	0	1	1	2	9	0	0	0	0	37	0	0	0.00%	0	0	0.47	0	0	0	0	0	0	1	0
18	Sven Baertschi	Checkers (Car)	LW	53	2	2	4	2	0	0	9	7	13	2	11	15.38%	1	79	1.50	1	1	2	5	27	0	0	0	0	2	0	0	48.33%	60	0	1.01	0	0	0	0	0	0	0	0
19	Tyler Steenbergen	Checkers (Car)	LW	53	0	1	1	0	0	0	3	1	3	2	2	0.00%	1	18	0.35	0	0	0	1	0	0	0	0	0	0	0	0	25.00%	4	0	1.07	0	0	0	0	0	0	0	0
Team Total or Average				987	183	325	508	365	609	85	849	893	1606	449	1147	11.39%	310	12402	12.57	55	95	150	476	1756	3	5	8	27	1166	36	8	63.08%	3676	5	0.82	4	13	2	6	7	31	36	34

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	Calvin Pickard	Checkers (Car)	53	40	10	3	0.930	1.48	3130	2	14	77	1107	4	0.789	19	53	0	9	4	3
2	J-F Berube	Checkers (Car)	3	0	0	0	1.000	0.00	87	0	0	0	41	0	0.000	0	0	53	0	0	0
Team Total or Average			56	40	10	3	0.933	1.44	3217	2	14	77	1148	4	0.789	19	53	53	9	4	3

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

Player Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Adam Clendening	D	28	1992-10-26	No	194 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Akil Thomas	C	20	2001-01-31	Yes	171 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No
Alex Belzile	C/RW	30	1991-08-31	No	196 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Anthony Louis	LW	26	1995-02-10	No	151 Lbs	5 ft7	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Anton Lindholm	D	26	1994-11-29	No	191 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Blake Speers	C	24	1997-01-02	No	185 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Cal Foote	D	22	1998-12-13	No	227 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Calvin Pickard	G	29	1992-04-15	No	210 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Cole Caufield	RW	20	2001-01-02	Yes	162 Lbs	5 ft7	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No
Colin White	C/RW	24	1997-01-30	No	197 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
David Warsofsky	D	31	1990-05-30	No	170 Lbs	5 ft9	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Dylan Blujus	D	27	1994-01-22	No	191 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ethan Prow	D	28	1992-11-17	No	180 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Gerald Mayhew	LW/RW	28	1992-12-31	No	161 Lbs	5 ft9	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Hunter Jones	G	21	2000-09-21	Yes	194 Lbs	6 ft4	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No
J-F Berube	G	30	1991-07-13	No	177 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Jack Quinn	RW	20	2001-09-19	Yes	176 Lbs	6 ft0	No	No	No	1	ELC	Pro & Farm		0$	0$	No
James de Haas	D	27	1994-05-03	No	210 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Kale Clague	D	23	1998-06-05	No	177 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Kevin Roy	LW	28	1993-05-20	No	172 Lbs	5 ft9	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Kirby Dach	C/RW	20	2001-01-21	No	197 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Linus Hogberg	D	23	1998-09-04	No	176 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Madison Bowey	D	26	1995-04-22	No	202 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Matt Filipe	C	23	1997-12-31	Yes	198 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No
Micheal Ferland	LW/RW	29	1992-04-20	No	217 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Nils Hoglander	LW/RW	20	2000-12-20	Yes	185 Lbs	5 ft9	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No
Oskar Steen	C/LW/RW	23	1998-03-09	No	188 Lbs	5 ft9	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Rem Pitlick	C/LW	24	1997-04-02	No	196 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Sean Durzi	D	22	1998-10-21	No	185 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Skyler McKenzie	LW	23	1998-01-20	No	154 Lbs	5 ft8	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Stefan Noesen	RW	28	1993-02-12	No	205 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Sven Baertschi	LW	29	1992-10-05	No	190 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Thomas Gregoire	D	23	1998-07-15	No	170 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Tyler Graovac	C	28	1993-04-27	No	208 Lbs	6 ft5	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Tyler Steenbergen	LW	23	1998-01-07	No	188 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
35	25.03	187 Lbs	6 ft0	2.40	517,143$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Kirby Dach		40	1	2	2
2	Gerald Mayhew	Colin White	Cole Caufield	30	1	2	2
3	Micheal Ferland	Tyler Graovac	Alex Belzile	20	1	2	2
4	Rem Pitlick	Akil Thomas	Stefan Noesen	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Madison Bowey	40	1	2	2
2		Sean Durzi	30	1	2	2
3	Ethan Prow	Kale Clague	20	1	2	2
4	Thomas Gregoire		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Kirby Dach		60	1	2	2
2	Gerald Mayhew	Colin White	Cole Caufield	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Madison Bowey	60	1	2	2
2		Sean Durzi	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kirby Dach		60	1	2	2
2		Colin White	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Madison Bowey	60	1	2	2
2		Sean Durzi	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Kirby Dach	60	1	2	2		Madison Bowey	60	1	2	2
2		40	1	2	2		Sean Durzi	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kirby Dach		60	1	2	2
2		Colin White	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Madison Bowey	60	1	2	2
2		Sean Durzi	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
	Kirby Dach			Madison Bowey

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	Kirby Dach			Madison Bowey

Extra Forwards
Normal	PowerPlay	Penalty Kill
Sven Baertschi, Tyler Steenbergen, Tyler Graovac	Sven Baertschi, Tyler Steenbergen	Tyler Graovac

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ethan Prow, Kale Clague, Thomas Gregoire	Ethan Prow	Kale Clague, Thomas Gregoire

Penalty Shots
Kirby Dach, , , Colin White, Cole Caufield

Goalie
#1 : Calvin Pickard, #2 : J-F Berube

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

Custom OT Lines Defensemen
, , , ,

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Filter Tips

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
53	83	W5	188	329	517	1655	1148	316	623	885	0	14

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
53	33	10	3	0	4	3	188	80

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
27	20	4	1	0	0	2	98	36

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
26	13	6	2	0	4	1	90	44

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	1	1	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
298	55	18.46%	245	26	89.39%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
551	535	544	45	71	58	52	8

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1054	1689	62.40%	874	1430	61.12%	462	747	61.85%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1546	1168	1077	343	594	317

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2 - 2021-10-02	17	Checkers	2	Monsters	1	W	X		BoxScore
3 - 2021-10-03	25	Penguins	1	Checkers	2	W			BoxScore
5 - 2021-10-05	40	Checkers	7	Moose	1	W			BoxScore
6 - 2021-10-06	42	Checkers	3	Sound Tigers	2	W	X	X	BoxScore
8 - 2021-10-08	61	Monsters	2	Checkers	0	L			BoxScore
10 - 2021-10-10	82	Reign	0	Checkers	6	W			BoxScore
12 - 2021-10-12	99	Checkers	0	Admirals	2	L			BoxScore
15 - 2021-10-15	116	Checkers	2	Devils	1	W	X		BoxScore
16 - 2021-10-16	127	Roadrunners	0	Checkers	3	W			BoxScore
18 - 2021-10-18	146	Bruins	1	Checkers	2	W			BoxScore
20 - 2021-10-20	163	Checkers	4	Reign	2	W			BoxScore
22 - 2021-10-22	179	Crunch	4	Checkers	8	W			BoxScore
24 - 2021-10-24	194	Checkers	4	Gulls	0	W			BoxScore
26 - 2021-10-26	209	Checkers	5	Bears	3	W			BoxScore
27 - 2021-10-27	223	Moose	1	Checkers	7	W			BoxScore
31 - 2021-10-31	246	Barracuda	1	Checkers	7	W			BoxScore
33 - 2021-11-02	263	Stars	3	Checkers	2	L			BoxScore
34 - 2021-11-03	278	Checkers	3	Rocket	2	W	X	X	BoxScore
36 - 2021-11-05	289	Checkers	2	Senators	3	L	X	X	BoxScore
38 - 2021-11-07	308	Condors	2	Checkers	6	W			BoxScore
41 - 2021-11-10	327	Wolf Pack	0	Checkers	3	W			BoxScore
43 - 2021-11-12	342	Checkers	2	Phantoms	1	W			BoxScore
45 - 2021-11-14	358	Checkers	0	Wolves	3	L			BoxScore
46 - 2021-11-15	371	Checkers	2	Penguins	1	W	X	X	BoxScore
47 - 2021-11-16	381	Devils	0	Checkers	2	W			BoxScore
50 - 2021-11-19	406	Stars	4	Checkers	2	L			BoxScore
54 - 2021-11-23	430	Heat	0	Checkers	4	W			BoxScore
56 - 2021-11-25	451	Gulls	2	Checkers	1	L	X	X	BoxScore
58 - 2021-11-27	466	Checkers	1	Barracuda	4	L			BoxScore
59 - 2021-11-28	479	Checkers	4	Bruins	0	W			BoxScore
61 - 2021-11-30	491	IceHogs	0	Checkers	7	W			BoxScore
63 - 2021-12-02	509	Checkers	1	Devils	2	L			BoxScore
65 - 2021-12-04	525	Wolves	0	Checkers	4	W			BoxScore
67 - 2021-12-06	544	Penguins	4	Checkers	1	L			BoxScore
69 - 2021-12-08	558	Checkers	7	Heat	0	W			BoxScore
71 - 2021-12-10	576	Checkers	2	Palm Springs	1	W	X	X	BoxScore
72 - 2021-12-11	590	Comets	1	Checkers	3	W			BoxScore
74 - 2021-12-13	609	Checkers	1	Admirals	3	L			BoxScore
75 - 2021-12-14	620	Senators	0	Checkers	3	W			BoxScore
78 - 2021-12-17	642	Thunderbirds	0	Checkers	1	W			BoxScore
81 - 2021-12-20	662	Checkers	8	Bears	1	W			BoxScore
82 - 2021-12-21	674	Checkers	5	Eagles	2	W			BoxScore
83 - 2021-12-22	684	Checkers	4	Marlies	1	W			BoxScore
85 - 2021-12-24	696	Barracuda	2	Checkers	3	W	X		BoxScore
87 - 2021-12-26	716	Marlies	0	Checkers	4	W			BoxScore
89 - 2021-12-28	729	Checkers	8	IceHogs	2	W			BoxScore
92 - 2021-12-31	746	Admirals	2	Checkers	1	L	X	X	BoxScore
93 - 2022-01-01	762	Checkers	2	Griffins	4	L			BoxScore
95 - 2022-01-03	778	Bears	1	Checkers	5	W			BoxScore
97 - 2022-01-05	797	Checkers	3	Sound Tigers	2	W			BoxScore
99 - 2022-01-07	806	Checkers	8	Reign	0	W			BoxScore
100 - 2022-01-08	820	Palm Springs	2	Checkers	6	W			BoxScore
102 - 2022-01-10	841	Bruins	3	Checkers	5	W			BoxScore
104 - 2022-01-12	856	Checkers	-	Senators	-
107 - 2022-01-15	877	Griffins	-	Checkers	-
109 - 2022-01-17	898	Checkers	-	Roadrunners	-
110 - 2022-01-18	908	Roadrunners	-	Checkers	-
113 - 2022-01-21	933	Rocket	-	Checkers	-
115 - 2022-01-23	949	Checkers	-	Gulls	-
118 - 2022-01-26	969	Checkers	-	Americans	-
119 - 2022-01-27	975	Rampage	-	Checkers	-
121 - 2022-01-29	1001	Rocket	-	Checkers	-
122 - 2022-01-30	1015	Checkers	-	Crunch	-
124 - 2022-02-01	1031	Moose	-	Checkers	-
126 - 2022-02-03	1045	Checkers	-	Bruins	-
128 - 2022-02-05	1063	Eagles	-	Checkers	-
130 - 2022-02-07	1077	Checkers	-	Phantoms	-
131 - 2022-02-08	1085	Checkers	-	Comets	-
134 - 2022-02-11	1099	Phantoms	-	Checkers	-
138 - 2022-02-15	1128	Americans	-	Checkers	-
139 - 2022-02-16	1135	Checkers	-	Sound Tigers	-
Trade Deadline --- Trades can’t be done after this day is simulated!
143 - 2022-02-20	1158	Crunch	-	Checkers	-
144 - 2022-02-21	1175	Checkers	-	Wolf Pack	-
147 - 2022-02-24	1194	Monsters	-	Checkers	-
149 - 2022-02-26	1209	Checkers	-	Rampage	-
151 - 2022-02-28	1225	Sound Tigers	-	Checkers	-
152 - 2022-03-01	1229	Checkers	-	Wolf Pack	-
155 - 2022-03-04	1254	Wild	-	Checkers	-
156 - 2022-03-05	1265	Checkers	-	Rampage	-
157 - 2022-03-06	1270	Checkers	-	Monsters	-
162 - 2022-03-11	1293	Reign	-	Checkers	-
163 - 2022-03-12	1304	Checkers	-	Moose	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	51,341	25,785
Attendance PCT	95.08%	95.50%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
14	2857 - 95.22%	71,173$	1,921,665$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
731,390$	181,000$	8,250$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	113,168$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
996,419$	63	7,158$	450,954$

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
12	82	12	66	0	0	4	0	0	156	424	-268	41	6	33	0	0	2	0	0	80	212	-132	41	6	33	0	0	2	0	0	76	212	-136	28	156	300	456	1	0	0	66	55	35	2153	0	721	723	704	3328	957	724	1576	394	36	9.14%	288	77	73.26%	1	769	2175	35.36%	870	2691	32.33%	423	1261	33.54%	1362	915	2655	610	907	376
13	76	1	70	0	2	3	0	0	127	409	-282	38	0	35	0	0	3	0	0	67	214	-147	38	1	35	0	2	0	0	0	60	195	-135	9	127	245	372	1	0	0	47	44	34	1736	0	575	575	582	3195	938	603	1263	345	26	7.54%	239	65	72.80%	2	565	1812	31.18%	751	2518	29.83%	369	1189	31.03%	1049	678	2684	584	834	315
14	76	2	73	0	1	0	0	0	80	462	-382	38	1	37	0	0	0	0	0	42	228	-186	38	1	36	0	1	0	0	0	38	234	-196	6	80	156	236	1	0	0	29	26	24	1497	0	490	522	481	3588	1015	699	1223	226	11	4.87%	290	77	73.45%	1	392	1643	23.86%	590	2746	21.49%	275	1169	23.52%	923	583	2850	558	789	281
15	82	37	30	0	5	3	5	2	236	188	48	41	21	13	0	2	0	4	1	129	91	38	41	16	17	0	3	3	1	1	107	97	10	99	236	420	656	1	13	0	102	60	64	2104	0	691	695	688	2132	603	1050	1511	418	68	16.27%	448	57	87.28%	6	1316	2442	53.89%	1247	2535	49.19%	590	1162	50.77%	2071	1472	1926	567	968	493
16	53	33	10	0	3	0	4	3	188	80	108	27	20	4	0	1	0	0	2	98	36	62	26	13	6	0	2	0	4	1	90	44	46	83	188	329	517	0	14	71	58	52	8	1655	551	535	544	45	1148	316	623	885	298	55	18.46%	245	26	89.39%	3	1054	1689	62.40%	874	1430	61.12%	462	747	61.85%	1546	1168	1077	343	594	317
Total Regular Season	369	85	249	0	11	10	9	5	787	1563	-776	185	48	122	0	3	5	4	3	416	781	-365	184	37	127	0	8	5	5	2	371	782	-411	225	787	1450	2237	4	27	71	302	237	165	9145	551	3012	3059	2500	13391	3829	3699	6458	1681	196	11.66%	1510	302	80.00%	13	4096	9761	41.96%	4332	11920	36.34%	2119	5528	38.33%	6955	4818	11194	2663	4094	1784
Playoff
15	4	0	4	0	0	0	0	0	6	19	-13	2	0	2	0	0	0	0	0	2	10	-8	2	0	2	0	0	0	0	0	4	9	-5	0	6	12	18	0	0	0	3	0	3	68	0	29	20	19	120	31	63	95	22	1	4.55%	26	7	73.08%	0	39	99	39.39%	34	125	27.20%	18	64	28.13%	86	58	105	29	47	22
Total Playoff	4	0	4	0	0	0	0	0	6	19	-13	2	0	2	0	0	0	0	0	2	10	-8	2	0	2	0	0	0	0	0	4	9	-5	0	6	12	18	0	0	0	3	0	3	68	0	29	20	19	120	31	63	95	22	1	4.55%	26	7	73.08%	0	39	99	39.39%	34	125	27.20%	18	64	28.13%	86	58	105	29	47	22