LHSDB - Ligue de hockey simulee des debiles barbus

Carolina Hurricanes
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records

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	Cole Caufield		X	X		100.00	59	32	93	77	62	87	89	76	67	71	78	62	79	61	66	84	50	69	0
2	Colin White	X		X		100.00	69	35	91	71	76	84	79	69	74	68	70	62	73	66	68	79	50	67	0
3	Nils Hoglander		X	X		100.00	58	33	89	74	66	84	89	73	58	66	72	57	76	62	63	75	50	66	0
4	Jack Quinn			X		100.00	59	37	84	70	71	89	71	68	72	67	70	61	72	61	63	87	50	65	0
5	Gerry Mayhew	X				100.00	70	37	84	66	63	85	83	64	72	62	71	63	68	71	72	35	50	65	0
6	Oskar Steen	X				100.00	74	37	88	66	69	82	85	64	72	65	61	62	63	65	66	48	50	64	0
7	Anthony Louis		X			100.00	58	35	91	65	61	92	93	62	60	65	63	56	66	67	69	42	50	63	0
8	Valtteri Puustinen (R)			X		100.00	63	35	91	67	65	87	82	69	53	66	58	57	68	63	65	59	50	63	0
9	Alex Belzile			X		100.00	69	37	85	64	74	78	71	61	69	62	58	62	64	71	73	34	50	62	0
10	Blake Speers	X				100.00	70	37	82	62	69	75	78	62	73	60	61	65	62	65	67	64	50	62	0
11	Kevin Roy		X			100.00	55	36	87	61	64	86	78	63	67	62	59	55	63	69	71	52	50	61	0
12	Sven Baertschi		X			100.00	60	36	83	58	70	86	72	59	63	58	59	56	60	71	72	68	50	60	0
13	Madison Bowey				X	100.00	79	43	87	66	81	79	80	64	30	68	58	67	50	67	69	58	50	67	0
14	Cal Foote				X	100.00	78	43	88	67	92	81	89	66	30	65	59	62	53	64	66	82	50	67	0
15	Ethan Prow				X	100.00	59	36	92	67	69	78	87	65	30	64	66	63	55	70	72	35	50	65	0
16	Justin Barron (R)				X	100.00	67	38	91	68	79	83	75	67	30	66	64	61	53	61	63	81	50	65	0
17	Kale Clague				X	100.00	61	36	81	69	72	85	77	67	30	73	59	60	52	64	66	69	50	65	0
18	Lucas Johansen (R)				X	100.00	61	37	89	62	76	77	83	64	30	65	58	63	50	65	67	77	50	64	0
19	Adam Clendening				X	100.00	64	41	72	60	73	76	95	59	30	66	54	57	48	70	72	61	50	63	0
Scratches
1	Akil Thomas	X				100.00	62	37	90	58	69	82	76	57	66	56	59	55	58	62	63	72	50	59	0
2	Matt Filipe		X			100.00	71	36	73	53	80	76	82	54	58	55	56	57	53	65	67	64	50	59	0
3	Lukas Rousek (R)			X		100.00	58	36	92	63	68	74	65	59	52	57	55	53	59	63	65	56	50	58	0
4	Linus Hogberg				X	100.00	62	37	80	64	73	82	79	63	30	67	56	65	53	64	66	55	50	64	0
5	Dylan Blujus				X	100.00	73	41	78	54	82	61	72	53	30	55	52	56	45	68	70	62	50	59	0

	TEAM AVERAGE					100.00	65	37	86	65	72	81	80	64	52	64	62	60	60	66	68	62	50	63

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	74	79	78	80	73	72	74	73	72	74	73	71	84	58	50	73	0
2	J-F Berube	100.00	73	74	73	75	72	71	73	72	71	73	72	71	85	53	50	71	0
Scratches
1	Jack LaFontaine (R)	100.00	70	71	70	81	69	68	70	69	68	70	69	64	71	64	50	69	0
2	Victor Brattstrom (R)	100.00	67	75	76	86	66	65	67	66	65	67	66	65	73	47	50	68	0
3	Hunter Jones	100.00	67	69	70	85	66	65	67	66	65	67	66	62	67	69	50	67	0
4	Ilya Konovalov (R)	100.00	65	70	71	73	64	63	65	64	63	65	64	66	71	62	50	65	0

	TEAM AVERAGE	100.00	69	73	73	80	68	67	69	68	67	69	68	67	75	59	50	69

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ian Laperriere	63	63	63	71	73	68	78	CAN	48	2	1,000,000$

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Cole Caufield	Checkers (Car)	LW/RW	72	51	49	100	58	26	0	55	151	342	87	239	14.91%	13	1677	23.29	19	20	39	92	305	1	1	2	12	319	6	2	57.93%	511	5	1.19	1	2	0	0	0	12	5	5
2	Colin White	Checkers (Car)	C/RW	71	28	53	81	57	56	0	129	128	208	73	153	13.46%	5	1558	21.95	9	21	30	47	303	1	1	2	8	234	8	1	62.25%	1163	2	1.04	1	2	0	0	0	5	8	7
3	Jack Quinn	Checkers (Car)	RW	71	30	49	79	39	29	5	62	81	273	70	189	10.99%	4	1177	16.59	9	18	27	67	284	0	0	0	0	0	7	2	72.86%	70	0	1.34	0	0	0	1	0	2	10	7
4	Nils Hoglander	Checkers (Car)	LW/RW	71	38	40	78	55	40	0	80	75	289	86	142	13.15%	7	1442	20.32	8	15	23	65	301	0	0	0	8	175	5	2	54.32%	162	1	1.08	1	1	0	0	0	6	3	7
5	Gerry Mayhew	Checkers (Car)	C	71	31	44	75	39	71	5	131	104	221	56	146	14.03%	11	1275	17.97	12	19	31	61	282	0	0	0	1	87	4	1	64.76%	1291	0	1.18	0	0	0	0	1	8	4	3
6	Madison Bowey	Checkers (Car)	D	72	14	45	59	54	61	5	102	55	131	46	69	10.69%	61	1617	22.47	8	13	21	88	310	0	0	0	0	245	3	0	0.00%	0	0	0.73	0	0	1	0	0	2	3	6
7	Cal Foote	Checkers (Car)	D	72	8	47	55	53	70	10	95	47	98	33	69	8.16%	74	1523	21.15	6	24	30	54	297	0	1	1	0	243	3	0	0.00%	0	0	0.72	0	0	0	1	1	1	3	0
8	Justin Barron	Checkers (Car)	D	71	8	40	48	37	44	10	62	57	98	32	85	8.16%	45	1407	19.82	6	15	21	66	273	0	1	1	1	233	4	0	0.00%	0	0	0.68	0	0	0	0	2	3	0	3
9	Anthony Louis	Checkers (Car)	LW	71	20	21	41	25	16	0	27	44	129	32	99	15.50%	7	1074	15.14	7	8	15	28	193	0	0	0	0	40	6	1	72.22%	72	0	0.76	0	0	0	0	0	3	3	2
10	Kirby Dach	Carolina Hurricanes	C/RW	25	15	24	39	32	24	0	42	51	116	36	108	12.93%	4	589	23.59	4	5	9	17	94	1	0	1	6	105	2	3	69.06%	779	1	1.32	0	0	0	0	0	3	0	3
11	Linus Hogberg	Checkers (Car)	D	68	7	31	38	20	48	0	59	49	76	20	45	9.21%	54	1117	16.43	5	11	16	47	170	0	1	1	1	141	2	0	0.00%	0	0	0.68	0	0	0	0	0	0	1	4
12	Sean Durzi	Carolina Hurricanes	D	24	4	20	24	24	14	0	22	21	39	8	27	10.26%	12	548	22.87	1	6	7	22	93	0	0	0	0	85	0	0	0.00%	0	0	0.87	0	0	0	0	0	0	2	2
13	Valtteri Puustinen	Checkers (Car)	RW	71	9	13	22	18	18	0	28	61	99	38	82	9.09%	3	771	10.86	0	1	1	1	5	0	0	0	0	0	3	0	58.06%	31	0	0.57	0	0	0	0	0	1	0	1
14	Kale Clague	Checkers (Car)	D	72	1	19	20	15	42	0	66	32	18	9	14	5.56%	30	716	9.95	0	0	0	1	0	0	0	0	1	55	0	0	0.00%	0	0	0.56	0	0	0	0	0	0	1	0
15	Oskar Steen	Checkers (Car)	C	71	10	8	18	19	58	10	93	103	117	35	91	8.55%	6	802	11.30	0	0	0	1	8	0	0	0	0	12	1	1	64.92%	687	0	0.45	0	0	0	0	2	1	1	1
16	Ethan Prow	Checkers (Car)	D	72	4	14	18	25	31	5	36	29	42	16	37	9.52%	39	835	11.61	0	1	1	5	19	0	0	0	0	34	1	0	0.00%	0	0	0.43	0	0	1	0	0	0	1	0
17	Kevin Roy	Checkers (Car)	LW	71	6	7	13	8	15	5	18	36	63	16	34	9.52%	2	662	9.33	0	0	0	0	0	0	0	0	0	2	0	0	50.00%	34	0	0.39	0	0	0	1	0	0	1	0
18	Alex Belzile	Checkers (Car)	RW	72	4	8	12	-2	22	0	27	30	60	20	42	6.67%	5	436	6.06	1	0	1	1	3	0	0	0	0	0	0	0	62.50%	40	0	0.55	0	0	0	0	0	0	0	0
19	Blake Speers	Checkers (Car)	C	71	7	4	11	-5	18	0	39	46	73	16	44	9.59%	4	502	7.07	0	0	0	1	0	0	0	0	2	72	0	0	64.89%	450	0	0.44	0	0	0	0	0	0	0	0
20	Lucas Johansen	Checkers (Car)	D	71	1	4	5	0	15	5	29	20	22	3	14	4.55%	20	470	6.63	0	0	0	0	6	0	0	0	0	17	0	0	0.00%	0	0	0.21	0	0	0	1	0	0	0	0
21	Adam Clendening	Checkers (Car)	D	71	0	2	2	-2	27	5	29	9	8	2	3	0.00%	9	307	4.34	0	0	0	1	4	0	0	0	0	1	0	0	0.00%	0	0	0.13	0	0	0	1	0	0	0	0
22	Sven Baertschi	Checkers (Car)	LW	47	0	2	2	-5	2	0	12	13	18	8	11	0.00%	1	274	5.83	0	0	0	0	0	0	0	0	0	0	0	0	54.55%	11	0	0.15	0	0	0	0	0	0	0	0
Team Total or Average				1448	296	544	840	564	747	65	1243	1242	2540	742	1743	11.65%	416	20789	14.36	95	177	272	665	2960	3	5	8	40	2109	55	13	63.93%	5301	9	0.81	3	5	2	5	6	47	46	51

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	PS %	PSA	ST	BG	S1	S2	S3
1	Calvin Pickard	Checkers (Car)	72	57	13	2	0.916	1.59	4299	6	15	114	1357	0.833	6	72	0	5	4	2
2	J-F Berube	Checkers (Car)	1	0	0	0	1.000	0.00	39	0	0	0	17	0.000	0	0	72	0	0	0
Team Total or Average			73	57	13	2	0.917	1.58	4338	6	15	114	1374	0.833	6	72	72	5	4	2

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	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	30	1992-10-26	No	194 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Akil Thomas	C	22	2001-01-31	No	171 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Alex Belzile	RW	31	1991-08-31	No	197 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Anthony Louis	LW	28	1995-02-10	No	151 Lbs	5 ft7	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Blake Speers	C	26	1997-01-02	No	185 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Cal Foote	D	24	1998-12-13	No	227 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Calvin Pickard	G	30	1992-04-15	No	210 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Cole Caufield	LW/RW	22	2001-01-02	No	166 Lbs	5 ft7	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Colin White	C/RW	26	1997-01-30	No	194 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Dylan Blujus	D	29	1994-01-22	No	191 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ethan Prow	D	30	1992-11-17	No	182 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Gerry Mayhew	C	30	1992-12-31	No	161 Lbs	5 ft9	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link
Hunter Jones	G	22	2000-09-21	No	194 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Ilya Konovalov	G	24	1998-07-13	Yes	194 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No
J-F Berube	G	31	1991-07-13	No	177 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Jack LaFontaine	G	25	1998-01-06	Yes	204 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No
Jack Quinn	RW	21	2001-09-19	No	185 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Justin Barron	D	21	2001-11-15	Yes	195 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No
Kale Clague	D	24	1998-06-05	No	190 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Kevin Roy	LW	29	1993-05-20	No	172 Lbs	5 ft9	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Linus Hogberg	D	24	1998-09-04	No	176 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Lucas Johansen	D	25	1997-11-16	Yes	176 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No
Lukas Rousek	RW	23	1999-04-20	Yes	171 Lbs	5 ft11	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No
Madison Bowey	D	27	1995-04-22	No	202 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Matt Filipe	LW	25	1997-12-31	No	198 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Nils Hoglander	LW/RW	22	2000-12-20	No	185 Lbs	5 ft9	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Oskar Steen	C	24	1998-03-09	No	199 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Sven Baertschi	LW	30	1992-10-05	No	190 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Valtteri Puustinen	RW	23	1999-06-04	Yes	183 Lbs	5 ft9	No	No	No	4	RFA	Pro & Farm	500,000$	0$	0$	No
Victor Brattstrom	G	25	1997-03-22	Yes	200 Lbs	6 ft4	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
30	25.77	187 Lbs	6 ft0	2.50	513,333$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Cole Caufield	Colin White	Nils Hoglander	40	1	2	2
2	Anthony Louis	Gerry Mayhew	Jack Quinn	30	1	2	2
3	Kevin Roy	Oskar Steen	Valtteri Puustinen	20	1	2	2
4	Sven Baertschi	Blake Speers	Alex Belzile	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	Justin Barron		30	1	2	2
3	Ethan Prow	Kale Clague	20	1	2	2
4	Lucas Johansen	Adam Clendening	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Cole Caufield	Colin White	Nils Hoglander	60	1	2	2
2	Anthony Louis	Gerry Mayhew	Jack Quinn	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cal Foote	Madison Bowey	60	1	2	2
2	Justin Barron		40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Cole Caufield	Colin White	60	1	2	2
2	Nils Hoglander	Gerry Mayhew	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	Justin Barron		40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Cole Caufield	60	1	2	2	Cal Foote	Madison Bowey	60	1	2	2
2	Colin White	40	1	2	2	Justin Barron		40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Cole Caufield	Colin White	60	1	2	2
2	Nils Hoglander	Gerry Mayhew	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	Justin Barron		40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Cole Caufield	Colin White	Nils Hoglander	Cal Foote	Madison Bowey

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Cole Caufield	Colin White	Nils Hoglander	Cal Foote	Madison Bowey

Extra Forwards
Normal	PowerPlay	Penalty Kill
Oskar Steen, Valtteri Puustinen, Blake Speers	Oskar Steen, Valtteri Puustinen	Blake Speers

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ethan Prow, Kale Clague, Lucas Johansen	Ethan Prow	Kale Clague, Lucas Johansen

Penalty Shots
Cole Caufield, Colin White, Nils Hoglander, Gerry Mayhew, Jack Quinn

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

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

Custom OT Lines Defensemen
, , , ,

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
72	116	L1	298	546	844	2545	1374	418	753	1244	0	15

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
72	54	13	1	2	2	0	298	114

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	27	6	1	0	2	0	157	55

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	27	7	0	2	0	0	141	59

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
385	95	24.68%	315	29	90.79%	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
855	837	844	14	125	101	69	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1661	2521	65.89%	1077	1769	60.88%	674	1035	65.12%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2190	1660	1333	438	815	449

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 - 2022-09-29	8	IceHogs	1	Checkers	9	W			BoxScore
3 - 2022-09-30	22	Checkers	4	Roadrunners	0	W			BoxScore
5 - 2022-10-02	34	Checkers	3	Bruins	2	W			BoxScore
7 - 2022-10-04	46	Checkers	10	Condors	1	W			BoxScore
9 - 2022-10-06	61	Roadrunners	2	Checkers	8	W			BoxScore
11 - 2022-10-08	78	Checkers	2	Roadrunners	1	W			BoxScore
13 - 2022-10-10	90	Rocket	0	Checkers	1	W	X		BoxScore
17 - 2022-10-14	117	Checkers	2	Phantoms	1	W			BoxScore
18 - 2022-10-15	128	Marlies	3	Checkers	7	W			BoxScore
21 - 2022-10-18	148	Stars	3	Checkers	1	L			BoxScore
22 - 2022-10-19	163	Checkers	3	Americans	0	W			BoxScore
25 - 2022-10-22	179	Wolf Pack	1	Checkers	0	L			BoxScore
27 - 2022-10-24	195	Checkers	5	Wranglers	0	W			BoxScore
28 - 2022-10-25	208	Checkers	1	Phantoms	2	L	X		BoxScore
30 - 2022-10-27	222	Senators	2	Checkers	1	L			BoxScore
33 - 2022-10-30	240	Checkers	8	Gulls	2	W			BoxScore
35 - 2022-11-01	251	Checkers	9	IceHogs	1	W			BoxScore
36 - 2022-11-02	258	Bears	0	Checkers	5	W			BoxScore
39 - 2022-11-05	282	Americans	2	Checkers	4	W			BoxScore
42 - 2022-11-08	304	Checkers	6	Firebirds	1	W			BoxScore
43 - 2022-11-09	313	Stars	1	Checkers	7	W			BoxScore
46 - 2022-11-12	336	Checkers	2	Devils	1	W			BoxScore
48 - 2022-11-14	347	Condors	2	Checkers	9	W			BoxScore
50 - 2022-11-16	363	Checkers	7	Reign	1	W			BoxScore
52 - 2022-11-18	380	Reign	0	Checkers	4	W			BoxScore
55 - 2022-11-21	399	Admirals	1	Checkers	9	W			BoxScore
58 - 2022-11-24	418	Checkers	6	Condors	2	W			BoxScore
60 - 2022-11-26	432	Wolves	0	Checkers	4	W			BoxScore
62 - 2022-11-28	448	Checkers	2	Rampage	0	W			BoxScore
64 - 2022-11-30	459	Checkers	3	Bruins	0	W			BoxScore
66 - 2022-12-02	475	Devils	2	Checkers	5	W			BoxScore
69 - 2022-12-05	499	Barracuda	2	Checkers	3	W	X	X	BoxScore
71 - 2022-12-07	515	Checkers	6	Roadrunners	3	W			BoxScore
73 - 2022-12-09	530	Eagles	1	Checkers	4	W			BoxScore
76 - 2022-12-12	553	Rampage	4	Checkers	1	L			BoxScore
78 - 2022-12-14	565	Checkers	5	Wild	0	W			BoxScore
80 - 2022-12-16	581	Checkers	1	Comets	3	L			BoxScore
81 - 2022-12-17	591	Bruins	2	Checkers	3	W			BoxScore
84 - 2022-12-20	614	Marlies	0	Checkers	3	W			BoxScore
86 - 2022-12-22	627	Checkers	2	Griffins	1	W			BoxScore
88 - 2022-12-24	646	Griffins	2	Checkers	3	W			BoxScore
90 - 2022-12-26	659	Checkers	6	Crunch	2	W			BoxScore
92 - 2022-12-28	677	Checkers	4	Thunderbirds	2	W			BoxScore
94 - 2022-12-30	687	Checkers	5	Admirals	3	W			BoxScore
96 - 2023-01-01	700	Firebirds	2	Checkers	5	W			BoxScore
98 - 2023-01-03	720	Comets	1	Checkers	3	W			BoxScore
100 - 2023-01-05	739	Checkers	2	Wolves	4	L			BoxScore
102 - 2023-01-07	751	Checkers	4	Barracuda	1	W			BoxScore
103 - 2023-01-08	761	Monsters	2	Checkers	6	W			BoxScore
106 - 2023-01-11	782	Sound Tigers	2	Checkers	0	L			BoxScore
109 - 2023-01-14	802	Checkers	2	Moose	3	L	X		BoxScore
111 - 2023-01-16	815	Rocket	3	Checkers	4	W			BoxScore
113 - 2023-01-18	826	Checkers	2	Wolf Pack	4	L			BoxScore
115 - 2023-01-20	842	Checkers	2	Eagles	5	L			BoxScore
117 - 2023-01-22	854	Gulls	3	Checkers	5	W			BoxScore
119 - 2023-01-24	872	Checkers	4	Stars	2	W			BoxScore
121 - 2023-01-26	885	Checkers	10	Bears	1	W			BoxScore
122 - 2023-01-27	895	Penguins	0	Checkers	4	W			BoxScore
125 - 2023-01-30	918	Thunderbirds	0	Checkers	8	W			BoxScore
129 - 2023-02-03	944	Checkers	1	Monsters	2	L			BoxScore
130 - 2023-02-04	955	Phantoms	4	Checkers	3	L			BoxScore
133 - 2023-02-07	974	IceHogs	1	Checkers	8	W			BoxScore
136 - 2023-02-10	1003	Roadrunners	0	Checkers	4	W			BoxScore
138 - 2023-02-12	1018	Checkers	1	Sound Tigers	2	L			BoxScore
141 - 2023-02-15	1034	Checkers	2	Penguins	1	W			BoxScore
142 - 2023-02-16	1044	Moose	1	Checkers	3	W			BoxScore
146 - 2023-02-20	1067	Crunch	1	Checkers	5	W			BoxScore
149 - 2023-02-23	1084	Checkers	3	Marlies	0	W			BoxScore
151 - 2023-02-25	1100	Wranglers	3	Checkers	4	W	X	X	BoxScore
153 - 2023-02-27	1115	Checkers	4	Rocket	2	W			BoxScore
157 - 2023-03-03	1135	Wild	1	Checkers	4	W			BoxScore
158 - 2023-03-04	1143	Checkers	2	Senators	3	L			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	68,764	33,804
Attendance PCT	95.51%	93.90%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	2849 - 94.97%	71,226$	2,564,145$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,158,565$	154,000$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	158,540$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	7,168$	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	0	111	81	69	2477	0	855	792	797	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
17	72	54	13	0	1	2	2	0	298	114	184	36	27	6	0	1	0	2	0	157	55	102	36	27	7	0	0	2	0	0	141	59	82	116	298	546	844	0	15	125	101	69	4	2545	855	837	844	14	1374	418	753	1244	385	95	24.68%	315	29	90.79%	3	1661	2521	65.89%	1077	1769	60.88%	674	1035	65.12%	2190	1660	1333	438	815	449
Total Regular Season	470	152	274	0	12	14	12	6	1166	1739	-573	235	80	136	0	4	5	6	4	607	864	-257	235	72	138	0	8	9	6	2	559	875	-316	372	1166	2129	3295	5	44	125	456	335	230	12512	855	4169	4151	3266	15471	4433	4781	8196	2195	317	14.44%	1971	352	82.14%	19	6312	13161	47.96%	5879	14530	40.46%	3031	6931	43.73%	9929	7059	13166	3293	5243	2408
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
16	19	11	8	0	0	0	0	0	37	37	0	10	5	5	0	0	0	0	0	18	19	-1	9	6	3	0	0	0	0	0	19	18	1	22	37	68	105	0	4	0	19	7	8	484	0	134	133	159	402	114	249	348	142	11	7.75%	103	14	86.41%	0	328	668	49.10%	261	574	45.47%	143	266	53.76%	521	358	485	157	264	138
Total Playoff	23	11	12	0	0	0	0	0	43	56	-13	12	5	7	0	0	0	0	0	20	29	-9	11	6	5	0	0	0	0	0	23	27	-4	22	43	80	123	0	4	0	22	7	11	552	0	163	153	178	522	145	312	443	164	12	7.32%	129	21	83.72%	0	367	767	47.85%	295	699	42.20%	161	330	48.79%	608	417	591	187	311	160