LHSDB - Ligue de hockey simulee des debiles barbus

Tampa Lightning
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	Matt Boldy		X			100.00	69	35	93	69	80	79	82	68	62	67	65	68	72	62	65	86	50	66	0
2	Byron Froese	X		X		100.00	66	37	89	64	78	75	79	66	78	62	64	68	63	78	75	48	50	65	0
3	Reid Boucher		X			100.00	58	33	72	64	71	85	90	65	74	66	67	63	68	75	69	52	50	65	0
4	Austin Czarnik	X		X		100.00	52	35	95	64	67	79	75	66	74	65	67	61	68	77	69	36	50	64	0
5	Lane Pederson	X				100.00	83	35	95	66	72	80	71	67	75	65	64	62	66	67	63	42	50	64	0
6	Matt Puempel		X			100.00	69	46	81	62	78	78	83	63	68	65	64	61	66	75	68	67	50	64	0
7	Brendan Perlini		X	X		100.00	59	35	92	68	86	72	73	66	55	63	61	58	64	69	65	82	50	63	0
8	Karson Kuhlman	X		X		100.00	80	35	91	67	69	77	71	64	65	62	66	62	65	71	66	42	50	63	0
9	Mario Kempe	X	X	X		100.00	62	43	83	63	71	80	75	65	69	66	58	56	67	82	73	35	50	62	0
10	Christopher Wilkie (R)			X		100.00	63	57	68	61	72	78	73	59	62	57	64	63	66	69	64	50	50	61	0
11	Mason Shaw		X			100.00	57	35	74	62	66	68	73	59	71	60	58	56	59	65	66	62	50	59	0
12	Chad Yetman (R)			X		100.00	59	35	93	59	68	72	77	58	52	60	56	57	55	61	63	54	50	58	0
13	Maxime Lajoie				X	100.00	53	35	95	72	77	81	74	65	30	63	58	62	50	67	64	56	50	64	0
14	Wyatt Newpower				X	100.00	73	46	80	62	82	73	75	61	30	59	56	63	48	67	64	43	50	63	0
15	Nick Ebert				X	100.00	65	36	81	60	74	79	84	58	30	57	55	59	47	73	67	54	50	62	0
16	Joni Tuulola				X	100.00	74	45	86	54	83	88	93	52	30	53	53	56	45	69	65	47	50	62	0
17	Lawrence Pilut				X	100.00	58	36	90	63	71	77	71	62	30	63	57	64	50	71	66	42	50	62	0
18	Michael Krutil (R)				X	100.00	76	38	89	55	84	67	72	52	30	54	53	60	45	59	59	62	50	60	0
19	Ole Bjorgvik-Holm				X	100.00	69	34	83	57	78	72	77	59	30	58	53	56	46	59	61	57	50	60	0
20	Brandon Crawley (R)				X	100.00	76	60	62	56	78	66	71	53	30	52	50	58	45	67	64	53	50	59	0
21	Blake Hillman				X	100.00	67	43	83	58	76	72	67	55	30	52	51	54	45	69	65	48	50	58	0
Scratches
1	Francis Perron		X			100.00	59	43	81	57	68	74	79	57	61	59	56	54	57	69	65	47	50	58	0

	TEAM AVERAGE					100.00	66	40	84	62	75	76	77	61	52	60	59	60	57	69	66	53	50	62

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	Logan Thompson	100.00	79	87	85	87	78	77	79	78	77	79	78	67	71	43	50	76	0
2	Louis Domingue	100.00	74	86	81	85	73	72	74	73	72	74	73	77	83	51	50	74	0
Scratches
1	Oscar Dansk	100.00	74	83	82	84	73	72	74	73	72	74	73	73	77	66	50	73	0
2	Kaden Fulcher (R)	100.00	72	71	69	84	71	70	72	71	70	72	71	65	69	44	50	70	0

	TEAM AVERAGE	100.00	75	82	79	85	74	73	75	74	73	75	74	71	75	51	50	73

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mike Van Ryn	66	73	70	71	62	57	84	CAN	42	3	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	Lane Pederson	Crunch (Tam)	C	53	38	28	66	-29	75	5	152	214	375	107	211	10.13%	41	1126	21.25	14	16	30	96	206	0	0	0	0	0	4	1	60.32%	1235	3	1.17	0	2	0	0	1	6	2	4
2	Lawrence Pilut	Crunch (Tam)	D	53	22	43	65	-19	77	5	128	93	187	59	100	11.76%	124	1182	22.31	13	16	29	138	200	0	1	1	0	117	3	0	0.00%	0	0	1.10	1	1	0	0	1	2	5	4
3	Antoine Roussel	Tampa Lightning	LW/RW	50	20	36	56	29	82	20	107	96	181	45	136	11.05%	11	1200	24.02	4	18	22	36	189	1	0	1	6	221	6	2	51.15%	567	0	0.93	1	7	2	2	0	6	2	4
4	Matt Puempel	Crunch (Tam)	LW	53	36	20	56	-27	70	20	178	109	286	65	178	12.59%	48	1121	21.16	11	9	20	62	151	1	0	1	6	163	2	3	58.06%	62	2	1.00	1	2	0	2	2	3	2	2
5	Joni Tuulola	Crunch (Tam)	D	53	17	36	53	-24	124	10	126	78	167	61	94	10.18%	96	1058	19.97	10	11	21	119	171	0	1	1	0	127	2	0	0.00%	0	0	1.00	0	0	0	0	2	1	3	3
6	Mason Shaw	Crunch (Tam)	LW	53	17	14	31	-31	70	10	98	105	168	44	110	10.12%	28	723	13.66	0	0	0	0	0	0	0	0	0	0	1	2	72.00%	50	3	0.86	1	1	1	0	1	4	1	2
7	Karson Kuhlman	Crunch (Tam)	C/RW	52	8	14	22	10	56	0	79	75	103	34	89	7.77%	5	728	14.00	1	4	5	10	46	0	0	0	0	0	2	0	57.34%	443	0	0.60	0	0	0	0	0	1	0	0
8	Maxime Lajoie	Crunch (Tam)	D	2	0	4	4	2	0	0	0	2	2	1	4	0.00%	4	45	22.87	0	2	2	1	9	0	0	0	0	8	0	0	0.00%	0	0	1.75	0	0	0	0	0	0	1	0
9	Austin Czarnik	Crunch (Tam)	C/RW	2	2	1	3	4	0	0	0	2	7	3	6	28.57%	0	37	18.57	0	1	1	0	9	0	0	0	0	4	0	0	100.00%	1	0	1.62	0	0	0	0	0	1	0	0
10	Byron Froese	Crunch (Tam)	C/RW	2	2	1	3	4	0	0	3	0	8	3	8	25.00%	1	37	18.63	0	0	0	3	9	0	0	0	0	4	1	0	65.31%	49	0	1.61	0	0	0	0	0	0	1	1
11	Matt Boldy	Crunch (Tam)	LW	2	1	2	3	5	0	0	2	6	15	2	8	6.67%	0	47	23.78	1	0	1	4	8	0	0	0	0	9	0	0	65.52%	29	0	1.26	0	0	0	0	0	0	0	0
12	Brandon Crawley	Crunch (Tam)	D	2	1	0	1	1	0	0	0	1	1	0	0	100.00%	1	11	5.83	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	1.71	0	0	0	0	0	0	0	0
13	Ole Bjorgvik-Holm	Crunch (Tam)	D	2	0	1	1	1	0	0	0	0	0	0	1	0.00%	2	11	5.83	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	1.71	0	0	0	0	0	0	0	0
14	Wyatt Newpower	Crunch (Tam)	D	2	1	0	1	2	2	0	4	1	2	1	3	50.00%	3	44	22.13	1	0	1	1	9	0	0	0	0	6	0	0	0.00%	0	0	0.45	0	0	0	0	0	0	0	0
15	Brendan Perlini	Crunch (Tam)	LW/RW	2	0	0	0	0	2	0	3	4	4	1	1	0.00%	0	30	15.19	0	0	0	0	0	0	0	0	0	1	0	0	50.00%	2	0	0.00	0	0	0	0	0	0	0	0
16	Chad Yetman	Crunch (Tam)	RW	2	0	0	0	0	0	0	0	1	0	0	0	0.00%	0	2	1.19	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0.00	0	0	0	0	0	0	0	0
17	Christopher Wilkie	Crunch (Tam)	RW	2	0	0	0	1	0	0	0	1	2	1	3	0.00%	0	6	3.25	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
18	Nick Ebert	Crunch (Tam)	D	2	0	0	0	0	2	0	2	1	0	0	0	0.00%	2	24	12.28	0	0	0	0	0	0	0	0	0	2	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
19	Mario Kempe	Crunch (Tam)	C/LW/RW	2	0	0	0	0	4	0	1	3	2	1	2	0.00%	0	28	14.44	0	0	0	0	0	0	0	0	0	0	0	0	48.15%	27	0	0.00	0	0	0	0	0	0	0	0
20	Michael Krutil	Crunch (Tam)	D	2	0	0	0	0	0	0	3	1	0	1	1	0.00%	1	21	10.93	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
21	Reid Boucher	Crunch (Tam)	LW	2	0	0	0	1	2	0	0	0	7	1	3	0.00%	1	43	21.98	0	0	0	1	8	0	0	0	1	8	0	0	83.33%	6	0	0.00	0	0	0	0	0	0	0	0
22	Blake Hillman	Crunch (Tam)	D	3	0	0	0	0	4	0	2	2	0	2	0	0.00%	1	14	4.78	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				398	165	200	365	-70	570	70	888	795	1517	432	958	10.88%	369	7549	18.97	55	77	132	471	1022	2	2	4	13	678	21	8	57.97%	2472	8	0.97	4	13	3	4	7	24	17	20

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Logan Thompson	Crunch (Tam)	2	2	0	0	0.975	0.50	120	0	1	1	40	0	0	0	0.000	0	2	0	1	0	0
Team Total or Average			2	2	0	0	0.975	0.50	120	0	1	1	40	0	0	0	0.000	0	2	0	1	0	0

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
Austin Czarnik	C/RW	28	1992-12-12	No	175 Lbs	5 ft9	No	No	No	1	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Blake Hillman	D	25	1996-01-26	No	193 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Brandon Crawley	D	24	1997-02-02	Yes	204 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No
Brendan Perlini	LW/RW	25	1996-04-27	No	211 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Byron Froese	C/RW	30	1991-03-12	No	202 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Chad Yetman	RW	21	2000-02-18	Yes	179 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No
Christopher Wilkie	RW	25	1996-07-10	Yes	190 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No
Francis Perron	LW	25	1996-04-18	No	166 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Joni Tuulola	D	25	1996-01-01	No	198 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Kaden Fulcher	G	23	1998-09-23	Yes	201 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No
Karson Kuhlman	C/RW	26	1995-09-26	No	190 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Lane Pederson	C	24	1997-08-04	No	190 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Lawrence Pilut	D	25	1995-12-30	No	194 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Logan Thompson	G	24	1997-02-25	No	201 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	900,000$	0$	0$	No	Link
Louis Domingue	G	29	1992-03-06	No	208 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Mario Kempe	C/LW/RW	33	1988-09-19	No	185 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Mason Shaw	LW	22	1998-11-03	No	182 Lbs	5 ft9	No	No	No	2	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Matt Boldy	LW	20	2001-04-05	No	196 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Matt Puempel	LW	28	1993-01-24	No	201 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Maxime Lajoie	D	23	1997-11-05	No	196 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Michael Krutil	D	19	2002-06-03	Yes	202 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm		0$	0$	No
Nick Ebert	D	27	1994-05-11	No	200 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Ole Bjorgvik-Holm	D	19	2002-05-23	No	190 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Oscar Dansk	G	27	1994-02-28	No	204 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Reid Boucher	LW	28	1993-09-08	No	195 Lbs	5 ft10	No	No	No	4	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Wyatt Newpower	D	23	1997-12-09	No	194 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	24.92	194 Lbs	6 ft1	2.19	444,231$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Matt Boldy	Byron Froese	Austin Czarnik	40	1	2	2
2	Reid Boucher	Lane Pederson	Karson Kuhlman	30	1	2	2
3	Matt Puempel	Mario Kempe	Brendan Perlini	20	1	2	2
4	Mason Shaw	Matt Boldy	Christopher Wilkie	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Maxime Lajoie	Wyatt Newpower	40	1	2	2
2	Joni Tuulola	Lawrence Pilut	30	1	2	2
3	Nick Ebert	Michael Krutil	20	1	2	2
4	Ole Bjorgvik-Holm	Brandon Crawley	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Matt Boldy	Byron Froese	Austin Czarnik	60	1	2	2
2	Reid Boucher	Lane Pederson	Karson Kuhlman	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Maxime Lajoie	Wyatt Newpower	60	1	2	2
2	Joni Tuulola	Lawrence Pilut	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Matt Boldy	Reid Boucher	60	1	2	2
2	Byron Froese	Austin Czarnik	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Maxime Lajoie	Wyatt Newpower	60	1	2	2
2	Joni Tuulola	Lawrence Pilut	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Matt Boldy	60	1	2	2	Maxime Lajoie	Wyatt Newpower	60	1	2	2
2	Reid Boucher	40	1	2	2	Joni Tuulola	Lawrence Pilut	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Matt Boldy	Reid Boucher	60	1	2	2
2	Byron Froese	Austin Czarnik	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Maxime Lajoie	Wyatt Newpower	60	1	2	2
2	Joni Tuulola	Lawrence Pilut	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Matt Boldy	Byron Froese	Austin Czarnik	Maxime Lajoie	Wyatt Newpower

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Matt Boldy	Byron Froese	Austin Czarnik	Maxime Lajoie	Wyatt Newpower

Extra Forwards
Normal	PowerPlay	Penalty Kill
Chad Yetman, Matt Puempel, Brendan Perlini	Chad Yetman, Matt Puempel	Brendan Perlini

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Blake Hillman, Nick Ebert, Michael Krutil	Blake Hillman	Nick Ebert, Michael Krutil

Penalty Shots
Matt Boldy, Reid Boucher, Byron Froese, Austin Czarnik, Lane Pederson

Goalie
#1 : Logan Thompson, #2 : Louis Domingue

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
53	33	W2	162	245	407	1582	1772	535	530	879	1	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
53	13	35	1	2	1	1	162	245

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
26	6	18	0	1	0	1	79	122

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
27	7	17	1	1	1	0	83	123

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	4	0	1	1	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
245	55	22.45%	229	57	75.11%	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
539	474	564	13	72	37	51	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
648	1546	41.91%	597	1516	39.38%	366	859	42.61%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1138	818	1472	358	583	273

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
1 - 2021-10-01	5	Rampage	3	Crunch	2	L			BoxScore
3 - 2021-10-03	24	Crunch	3	Heat	4	L	X		BoxScore
5 - 2021-10-05	37	Crunch	2	Marlies	7	L			BoxScore
6 - 2021-10-06	45	Crunch	5	Heat	8	L			BoxScore
8 - 2021-10-08	62	Americans	6	Crunch	4	L			BoxScore
10 - 2021-10-10	86	Thunderbirds	4	Crunch	0	L			BoxScore
13 - 2021-10-13	103	Rocket	5	Crunch	2	L			BoxScore
15 - 2021-10-15	118	Crunch	1	Americans	6	L			BoxScore
16 - 2021-10-16	129	Crunch	1	Admirals	2	L			BoxScore
18 - 2021-10-18	147	Crunch	3	Rocket	4	L			BoxScore
19 - 2021-10-19	159	Bears	6	Crunch	4	L			BoxScore
22 - 2021-10-22	179	Crunch	4	Checkers	8	L			BoxScore
23 - 2021-10-23	190	Rampage	5	Crunch	4	L	X	X	BoxScore
26 - 2021-10-26	212	Condors	5	Crunch	3	L			BoxScore
29 - 2021-10-29	230	Crunch	0	Wolves	7	L			BoxScore
30 - 2021-10-30	244	Comets	3	Crunch	5	W			BoxScore
32 - 2021-11-01	253	Crunch	7	IceHogs	3	W			BoxScore
34 - 2021-11-03	276	Crunch	2	Bruins	3	L			BoxScore
35 - 2021-11-04	284	Wild	4	Crunch	1	L			BoxScore
38 - 2021-11-07	307	Wolves	5	Crunch	1	L			BoxScore
41 - 2021-11-10	328	Condors	3	Crunch	6	W			BoxScore
43 - 2021-11-12	340	Crunch	0	Devils	4	L			BoxScore
45 - 2021-11-14	352	Crunch	8	Palm Springs	7	W	X		BoxScore
47 - 2021-11-16	374	Wolf Pack	5	Crunch	1	L			BoxScore
49 - 2021-11-18	392	Crunch	7	Marlies	1	W			BoxScore
50 - 2021-11-19	405	Heat	5	Crunch	7	W			BoxScore
54 - 2021-11-23	428	Eagles	2	Crunch	5	W			BoxScore
56 - 2021-11-25	450	Monsters	6	Crunch	2	L			BoxScore
58 - 2021-11-27	465	Crunch	3	Wolf Pack	2	W			BoxScore
60 - 2021-11-29	481	Crunch	3	Palm Springs	4	L			BoxScore
61 - 2021-11-30	493	Admirals	5	Crunch	1	L			BoxScore
63 - 2021-12-02	513	Crunch	2	Admirals	8	L			BoxScore
65 - 2021-12-04	523	Comets	9	Crunch	3	L			BoxScore
67 - 2021-12-06	547	Griffins	6	Crunch	5	L			BoxScore
69 - 2021-12-08	557	Crunch	3	Eagles	2	W			BoxScore
71 - 2021-12-10	579	Gulls	6	Crunch	4	L			BoxScore
72 - 2021-12-11	588	Crunch	3	Barracuda	6	L			BoxScore
74 - 2021-12-13	605	Crunch	3	Phantoms	5	L			BoxScore
75 - 2021-12-14	618	Bruins	6	Crunch	2	L			BoxScore
78 - 2021-12-17	639	Crunch	1	Comets	6	L			BoxScore
80 - 2021-12-19	655	Penguins	5	Crunch	2	L			BoxScore
82 - 2021-12-21	673	Crunch	1	Wild	9	L			BoxScore
83 - 2021-12-22	685	Griffins	2	Crunch	3	W			BoxScore
86 - 2021-12-25	706	Crunch	2	Americans	3	L			BoxScore
88 - 2021-12-27	719	Senators	3	Crunch	4	W			BoxScore
90 - 2021-12-29	738	Rampage	4	Crunch	1	L			BoxScore
92 - 2021-12-31	751	Crunch	1	Monsters	5	L			BoxScore
93 - 2022-01-01	763	Crunch	6	IceHogs	5	W	X	X	BoxScore
95 - 2022-01-03	775	Crunch	4	Roadrunners	3	W			BoxScore
96 - 2022-01-04	787	Americans	5	Crunch	4	L	X		BoxScore
99 - 2022-01-07	810	Rocket	4	Crunch	3	L			BoxScore
101 - 2022-01-09	834	Crunch	3	Eagles	0	W			BoxScore
102 - 2022-01-10	842	Crunch	5	Moose	1	W			BoxScore
104 - 2022-01-12	854	IceHogs	-	Crunch	-
106 - 2022-01-14	868	Crunch	-	Wild	-
107 - 2022-01-15	882	Marlies	-	Crunch	-
109 - 2022-01-17	899	Crunch	-	Reign	-
111 - 2022-01-19	912	Phantoms	-	Crunch	-
113 - 2022-01-21	927	Crunch	-	Rampage	-
115 - 2022-01-23	946	Crunch	-	Rocket	-
116 - 2022-01-24	952	Thunderbirds	-	Crunch	-
118 - 2022-01-26	971	Crunch	-	Thunderbirds	-
119 - 2022-01-27	985	Palm Springs	-	Crunch	-
121 - 2022-01-29	998	Crunch	-	Heat	-
122 - 2022-01-30	1015	Checkers	-	Crunch	-
124 - 2022-02-01	1029	Crunch	-	Stars	-
126 - 2022-02-03	1043	Crunch	-	Sound Tigers	-
127 - 2022-02-04	1053	Barracuda	-	Crunch	-
128 - 2022-02-05	1066	Crunch	-	Wolves	-
131 - 2022-02-08	1084	Devils	-	Crunch	-
133 - 2022-02-10	1094	Crunch	-	Heat	-
135 - 2022-02-12	1106	Crunch	-	Condors	-
136 - 2022-02-13	1118	Reign	-	Crunch	-
139 - 2022-02-16	1134	Crunch	-	Griffins	-
Trade Deadline --- Trades can’t be done after this day is simulated!
141 - 2022-02-18	1150	Sound Tigers	-	Crunch	-
143 - 2022-02-20	1158	Crunch	-	Checkers	-
145 - 2022-02-22	1183	Roadrunners	-	Crunch	-
147 - 2022-02-24	1193	Crunch	-	Marlies	-
149 - 2022-02-26	1214	Stars	-	Crunch	-
154 - 2022-03-03	1248	Moose	-	Crunch	-
157 - 2022-03-06	1273	Bears	-	Crunch	-
163 - 2022-03-12	1303	Stars	-	Crunch	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	49,175	24,353
Attendance PCT	94.57%	93.67%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
15	2828 - 94.27%	70,617$	1,836,050$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
687,676$	115,500$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	69,513$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,059,260$	63	6,761$	425,943$

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	42	24	0	4	5	4	3	249	172	77	41	22	11	0	2	1	3	2	129	82	47	41	20	13	0	2	4	1	1	120	90	30	108	249	446	695	1	11	0	100	82	59	2209	0	713	722	749	1711	511	1392	1835	510	74	14.51%	576	72	87.50%	4	1584	2556	61.97%	1364	2335	58.42%	730	1182	61.76%	2253	1609	1733	575	989	519
13	76	38	25	0	4	5	2	2	219	172	47	38	16	15	0	2	3	1	1	110	87	23	38	22	10	0	2	2	1	1	109	85	24	95	219	386	605	1	12	0	74	79	60	1942	0	579	691	656	1716	532	1204	1628	442	63	14.25%	501	62	87.62%	7	1315	2300	57.17%	1227	2228	55.07%	613	1092	56.14%	1992	1405	1686	539	920	480
14	76	40	24	0	3	2	4	3	233	140	93	38	22	10	0	0	1	4	1	125	65	60	38	18	14	0	3	1	0	2	108	75	33	99	233	426	659	2	10	0	90	75	61	2210	0	746	698	748	1718	528	959	1434	338	57	16.86%	378	42	88.89%	5	1375	2439	56.38%	1220	2283	53.44%	609	1087	56.03%	1992	1423	1706	527	906	471
15	82	43	25	0	3	6	3	2	256	187	69	41	22	9	0	3	4	2	1	134	79	55	41	21	16	0	0	2	1	1	122	108	14	106	256	469	725	1	8	0	96	79	75	2522	0	831	844	826	1834	508	1027	1382	458	63	13.76%	409	61	85.09%	7	1643	2755	59.64%	1282	2262	56.68%	716	1210	59.17%	2231	1616	1760	567	974	508
16	53	13	35	0	1	2	1	1	162	245	-83	26	6	18	0	0	1	0	1	79	122	-43	27	7	17	0	1	1	1	0	83	123	-40	33	162	245	407	1	1	72	37	51	5	1582	539	474	564	13	1772	535	530	879	245	55	22.45%	229	57	75.11%	2	648	1546	41.91%	597	1516	39.38%	366	859	42.61%	1138	818	1472	358	583	273
Total Regular Season	369	176	133	0	15	20	14	11	1119	916	203	184	88	63	0	7	10	10	6	577	435	142	185	88	70	0	8	10	4	5	542	481	61	441	1119	1972	3091	6	42	72	397	366	260	10465	539	3343	3519	2992	8751	2614	5112	7158	1993	312	15.65%	2093	294	85.95%	25	6565	11596	56.61%	5690	10624	53.56%	3034	5430	55.87%	9608	6873	8358	2569	4374	2254
Playoff
11	5	1	4	0	0	0	0	0	6	16	-10	2	0	2	0	0	0	0	0	1	7	-6	3	1	2	0	0	0	0	0	5	9	-4	2	6	12	18	0	0	0	0	5	1	81	0	20	34	27	125	30	136	123	34	2	5.88%	57	9	84.21%	0	67	144	46.53%	98	176	55.68%	36	66	54.55%	105	66	132	40	62	29
12	5	1	4	0	0	0	0	0	5	15	-10	2	1	1	0	0	0	0	0	5	5	0	3	0	3	0	0	0	0	0	0	10	-10	2	5	10	15	0	1	0	1	1	3	81	0	26	26	28	145	35	89	130	16	2	12.50%	38	7	81.58%	0	75	132	56.82%	92	170	54.12%	35	65	53.85%	100	63	138	37	63	29
14	12	7	5	0	0	0	0	0	24	19	5	5	4	1	0	0	0	0	0	10	7	3	7	3	4	0	0	0	0	0	14	12	2	14	24	41	65	0	2	0	10	4	7	349	0	103	94	87	330	98	125	247	94	7	7.45%	54	5	90.74%	0	240	493	48.68%	215	475	45.26%	80	189	42.33%	347	239	372	112	183	90
15	5	1	4	0	0	0	0	0	13	19	-6	2	0	2	0	0	0	0	0	4	9	-5	3	1	2	0	0	0	0	0	9	10	-1	2	13	23	36	0	1	0	3	5	5	134	0	40	48	46	124	29	59	83	27	7	25.93%	26	7	73.08%	0	65	164	39.63%	51	123	41.46%	27	72	37.50%	113	78	124	37	62	30
Total Playoff	27	10	17	0	0	0	0	0	48	69	-21	11	5	6	0	0	0	0	0	20	28	-8	16	5	11	0	0	0	0	0	28	41	-13	20	48	86	134	0	4	0	14	15	16	645	0	189	202	188	724	192	409	583	171	18	10.53%	175	28	84.00%	0	447	933	47.91%	456	944	48.31%	178	392	45.41%	666	447	767	227	371	179