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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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`)
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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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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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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	Kirby Dach	Checkers (Car)	C/RW	82	49	40	89	5	86	10	172	315	475	137	326	10.32%	31	2007	24.48	19	24	43	118	375	1	1	2	13	341	8	1	63.21%	2237	5	0.89	2	9	0	0	1	13	12	2
2	Cole Caufield	Checkers (Car)	RW	82	36	52	88	55	6	0	20	134	301	83	198	11.96%	9	1351	16.49	11	16	27	69	280	1	1	2	1	40	6	2	63.36%	131	3	1.30	0	1	0	0	0	8	5	5
3	Colin White	Checkers (Car)	C/RW	82	32	51	83	49	93	15	160	161	214	54	138	14.95%	15	1484	18.10	5	14	19	40	285	1	0	1	4	183	8	0	61.06%	1307	0	1.12	4	8	1	1	0	7	5	5
4	Madison Bowey	Checkers (Car)	D	82	21	55	76	36	108	10	149	121	137	48	109	15.33%	84	1856	22.63	13	22	35	105	368	1	0	1	2	292	4	1	0.00%	0	0	0.82	0	0	1	1	0	4	9	2
5	Gerald Mayhew	Checkers (Car)	LW/RW	82	23	34	57	50	42	0	79	55	161	40	139	14.29%	8	1292	15.76	6	8	14	42	284	0	0	0	0	0	3	3	62.20%	82	0	0.88	0	0	0	0	0	2	3	8
6	Sean Durzi	Checkers (Car)	D	82	14	30	44	21	79	5	141	67	109	35	54	12.84%	82	1675	20.44	9	13	22	76	306	1	0	1	1	264	2	0	0.00%	0	0	0.53	0	0	0	1	0	1	2	3
7	Cal Foote	Checkers (Car)	D	58	6	34	40	29	111	15	109	59	109	38	82	5.50%	65	1366	23.57	4	12	16	86	268	0	1	1	3	195	0	1	0.00%	0	0	0.59	0	0	0	2	1	1	1	4
8	Micheal Ferland	Checkers (Car)	LW/RW	82	13	17	30	18	159	25	143	56	142	33	91	9.15%	4	886	10.81	2	4	6	7	51	0	0	0	0	0	1	0	51.02%	49	0	0.68	0	0	0	1	3	2	2	2
9	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
10	Luke Schenn	Carolina Hurricanes	D	38	6	23	29	20	156	30	112	57	52	20	37	11.54%	39	832	21.91	4	10	14	37	152	0	1	1	0	104	0	0	0.00%	0	0	0.70	0	0	4	1	1	0	0	1
11	Ethan Prow	Checkers (Car)	D	82	6	22	28	19	67	15	90	38	47	23	19	12.77%	53	1156	14.11	2	6	8	20	75	0	1	1	0	72	2	0	0.00%	0	0	0.48	0	0	0	1	1	0	1	0
12	Tyler Graovac	Checkers (Car)	C	82	13	14	27	21	11	5	22	127	162	35	136	8.02%	11	1108	13.52	1	2	3	8	51	1	0	1	12	188	6	0	65.52%	1079	0	0.49	0	0	0	0	1	2	2	5
13	Alex Belzile	Checkers (Car)	C/RW	82	10	16	26	17	12	0	8	55	133	29	117	7.52%	6	853	10.41	0	0	0	0	0	0	0	0	0	8	1	1	56.40%	211	0	0.61	0	0	0	0	0	0	1	2
14	Kale Clague	Checkers (Car)	D	82	4	20	24	29	40	0	44	53	32	9	21	12.50%	43	1129	13.77	0	0	0	1	3	0	3	3	1	112	1	0	0.00%	0	0	0.43	0	0	0	0	0	1	0	1
15	Stefan Noesen	Checkers (Car)	RW	82	8	15	23	20	42	0	88	35	88	31	70	9.09%	2	573	6.99	0	0	0	0	0	0	0	0	0	19	1	0	61.76%	34	0	0.80	0	0	0	0	0	2	3	0
16	Rem Pitlick	Checkers (Car)	C/LW	82	7	12	19	20	4	0	9	28	79	20	41	8.86%	3	553	6.76	0	0	0	0	0	0	0	0	0	0	1	0	71.43%	28	0	0.69	0	0	0	0	0	0	2	2
17	Akil Thomas	Checkers (Car)	C	82	5	9	14	12	2	0	15	39	73	7	34	6.85%	3	416	5.08	0	0	0	0	0	0	0	0	0	0	1	0	61.63%	430	0	0.67	0	0	0	0	0	0	2	2
18	Thomas Gregoire	Checkers (Car)	D	82	5	6	11	13	46	0	37	23	25	11	15	20.00%	29	580	7.08	0	1	1	2	9	0	0	0	0	67	0	0	0.00%	0	0	0.38	0	0	0	0	0	0	1	0
19	Sven Baertschi	Checkers (Car)	LW	82	4	4	8	-2	4	0	19	12	26	5	23	15.38%	3	172	2.11	3	2	5	11	37	0	0	0	0	3	1	0	52.13%	94	0	0.93	0	0	0	0	0	0	0	0
20	Tyler Steenbergen	Checkers (Car)	LW	82	0	1	1	0	0	0	4	4	6	3	6	0.00%	1	59	0.72	0	0	0	1	4	0	0	0	0	11	0	0	46.15%	13	0	0.34	0	0	0	0	0	0	0	0
Team Total or Average				1533	267	479	746	445	1086	130	1443	1489	2458	687	1703	10.86%	524	20274	13.23	83	146	229	688	2738	6	10	16	38	2055	48	9	62.48%	5695	8	0.74	6	18	6	8	8	43	51	45

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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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Calvin Pickard	Checkers (Car)	82	54	22	6	0.924	1.68	4883	6	16	137	1812	7	1	0.792	24	82	0	10	6	4
2	J-F Berube	Checkers (Car)	3	0	0	0	1.000	0.00	87	0	0	0	41	0	0	0.000	0	0	82	0	0	0
Team Total or Average			85	54	22	6	0.926	1.65	4970	6	16	137	1853	7	1	0.792	24	82	82	10	6	4

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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	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	29	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	21	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	27	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	27	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	25	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	23	1998-12-13	No	227 Lbs	6 ft4	No	No	No	2	RFA	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	21	2001-01-02	Yes	162 Lbs	5 ft7	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No
Colin White	C/RW	25	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	28	1994-01-22	No	191 Lbs	6 ft3	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ethan Prow	D	29	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	29	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	21	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	24	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	21	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	24	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	23	1998-10-21	No	185 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Skyler McKenzie	LW	24	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	29	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	24	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	25.57	187 Lbs	6 ft0	2.40	517,143$

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

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

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

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

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

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cal Foote	Madison Bowey	60	1	2	2
2	Sean Durzi	Ethan Prow	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	Cal Foote	Madison Bowey	60	1	2	2
2	Colin White	40	1	2	2	Sean Durzi	Ethan Prow	40	1	2	2

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

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

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Gerald Mayhew	Kirby Dach	Colin White	Cal Foote	Madison Bowey

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Gerald Mayhew	Kirby Dach	Colin White	Cal Foote	Madison Bowey

Extra Forwards
Normal	PowerPlay	Penalty Kill
Tyler Steenbergen, Alex Belzile, Stefan Noesen	Tyler Steenbergen, Alex Belzile	Stefan Noesen

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Kale Clague, Thomas Gregoire, Sean Durzi	Kale Clague	Thomas Gregoire, Sean Durzi

Penalty Shots
Kirby Dach, Colin White, Cole Caufield, Tyler Graovac, Alex Belzile

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
82	114	W3	269	462	731	2477	1854	502	952	1379	1	16

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	46	22	3	2	5	4	269	142

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	25	12	1	0	0	3	132	64

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	21	10	2	2	5	1	137	78

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	2	0	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
427	81	18.97%	391	47	87.98%	6

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
855	792	797	58	111	81	69	10

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1609	2568	62.66%	1344	2271	59.18%	700	1115	62.78%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2330	1748	1716	535	929	490

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	1	Senators	3	L			BoxScore
107 - 2022-01-15	877	Griffins	3	Checkers	2	L			BoxScore
109 - 2022-01-17	898	Checkers	6	Roadrunners	5	W			BoxScore
110 - 2022-01-18	908	Roadrunners	2	Checkers	1	L			BoxScore
113 - 2022-01-21	933	Rocket	1	Checkers	0	L			BoxScore
115 - 2022-01-23	949	Checkers	2	Gulls	4	L			BoxScore
118 - 2022-01-26	969	Checkers	2	Americans	3	L	X		BoxScore
119 - 2022-01-27	975	Rampage	1	Checkers	2	W			BoxScore
121 - 2022-01-29	1001	Rocket	2	Checkers	3	W			BoxScore
122 - 2022-01-30	1015	Checkers	1	Crunch	2	L			BoxScore
124 - 2022-02-01	1031	Moose	1	Checkers	9	W			BoxScore
126 - 2022-02-03	1045	Checkers	3	Bruins	2	W			BoxScore
128 - 2022-02-05	1063	Eagles	2	Checkers	0	L			BoxScore
130 - 2022-02-07	1077	Checkers	3	Phantoms	4	L	X		BoxScore
131 - 2022-02-08	1085	Checkers	3	Comets	2	W			BoxScore
134 - 2022-02-11	1099	Phantoms	2	Checkers	1	L			BoxScore
138 - 2022-02-15	1128	Americans	3	Checkers	1	L			BoxScore
139 - 2022-02-16	1135	Checkers	4	Sound Tigers	3	W	X	X	BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
143 - 2022-02-20	1158	Crunch	2	Checkers	1	L			BoxScore
144 - 2022-02-21	1175	Checkers	4	Wolf Pack	2	W			BoxScore
147 - 2022-02-24	1194	Monsters	3	Checkers	1	L			BoxScore
149 - 2022-02-26	1209	Checkers	3	Rampage	0	W			BoxScore
151 - 2022-02-28	1225	Sound Tigers	3	Checkers	2	L	X	X	BoxScore
152 - 2022-03-01	1229	Checkers	3	Wolf Pack	1	W			BoxScore
155 - 2022-03-04	1254	Wild	3	Checkers	6	W			BoxScore
156 - 2022-03-05	1265	Checkers	0	Rampage	1	L			BoxScore
157 - 2022-03-06	1270	Checkers	5	Monsters	1	W			BoxScore
162 - 2022-03-11	1293	Reign	0	Checkers	5	W			BoxScore
163 - 2022-03-12	1304	Checkers	7	Moose	1	W			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	77,647	39,155
Attendance PCT	94.69%	95.50%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	2849 - 94.96%	70,936$	2,908,374$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,182,014$	181,000$	8,250$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	181,949$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	7,158$	0$

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	82	46	22	0	3	2	5	4	269	142	127	41	25	12	0	1	0	0	3	132	64	68	41	21	10	0	2	2	5	1	137	78	59	114	269	462	731	1	16	111	81	69	10	2477	855	792	797	58	1854	502	952	1379	427	81	18.97%	391	47	87.98%	6	1609	2568	62.66%	1344	2271	59.18%	700	1115	62.78%	2330	1748	1716	535	929	490
Total Regular Season	398	98	261	0	11	12	10	6	868	1625	-757	199	53	130	0	3	5	4	4	450	809	-359	199	45	131	0	8	7	6	2	418	816	-398	256	868	1583	2451	5	29	111	325	254	167	9967	855	3269	3312	2513	14097	4015	4028	6952	1810	222	12.27%	1656	323	80.50%	16	4651	10640	43.71%	4802	12761	37.63%	2357	5896	39.98%	7738	5398	11833	2855	4428	1958
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