LHS - Ligue de Hockey Simule

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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	Alexandre Texier (R) (C)	0	X				100.00	67	36	85	73	78	86	74	67	61	69	65	80	75	66	68	0	75	68	0
2	Emil Bemstrom (R)	0		X	X		100.00	64	38	94	69	73	79	86	70	73	67	68	62	70	66	69	0	75	66	0
3	Fredrik Olofsson	0		X			100.00	69	38	92	62	78	75	87	64	74	63	59	68	61	67	69	0	75	64	0
4	Samuel Fagemo (R)	0			X		100.00	64	37	91	66	74	87	83	65	59	60	67	61	66	65	68	0	75	64	0
5	Alex Turcotte (R) (A)	0	X				100.00	60	37	85	66	69	77	76	65	71	63	60	62	66	64	65	0	75	63	0
6	Nick Abruzzese (R)	0	X				100.00	60	36	91	65	69	79	87	63	64	66	57	58	63	65	67	0	75	63	0
7	William Bitten	0	X				100.00	70	37	84	64	70	83	85	63	60	65	58	57	60	66	68	0	75	63	0
8	Arshdeep Bains (R)	0		X			100.00	65	37	85	63	71	78	85	62	67	64	57	59	61	64	65	0	75	62	0
9	Kyle McDonald (R)	0			X		100.00	82	41	88	60	91	81	70	58	57	56	60	62	59	62	64	0	75	62	0
10	Landon Slaggert (R)	0		X			100.00	65	34	92	64	70	78	62	63	50	62	56	66	59	61	62	0	75	62	0
11	Alex Whelan (R)	0			X		100.00	68	38	90	58	77	85	74	55	60	56	57	54	59	67	69	0	75	60	0
12	Gabriel Fortier (R)	0	X				100.00	63	36	90	59	68	77	84	58	62	56	57	60	55	64	66	0	75	60	0
13	Blake McLaughlin (R)	0		X			100.00	55	37	84	53	64	65	69	51	54	52	50	55	57	64	66	0	75	56	0
14	Oliver Kylington (R)	0				X	100.00	67	43	86	72	71	86	65	69	30	70	65	67	55	68	67	0	75	66	0
15	Ben Hutton (A)	0				X	100.00	63	40	90	67	84	87	73	65	30	72	62	64	54	75	71	0	75	66	0
16	Dylan Coghlan (R)	0				X	100.00	71	40	83	66	82	80	75	64	30	67	59	62	51	66	68	0	75	64	0
17	Joel Hanley	0				X	100.00	70	43	79	67	70	82	72	66	30	65	53	62	50	73	75	0	75	63	0
18	Daemon Hunt (R)	0				X	100.00	67	38	89	63	78	74	82	61	30	62	56	65	49	62	64	0	75	62	0
19	Will Butcher	0				X	100.00	59	36	93	64	68	69	79	58	30	61	56	59	48	69	71	0	75	61	0
Scratches
1	Adam Raska (R)	0			X		100.00	72	66	57	60	66	72	82	59	53	58	59	61	56	63	65	0	75	60	0
2	Amadeus Lombardi (R)	0	X				100.00	63	35	94	58	63	71	73	57	69	61	53	54	56	61	63	0	75	59	0
3	Christian Kyrou (R)	0				X	100.00	57	37	88	63	66	68	70	62	30	60	55	53	47	61	63	0	75	60	0
4	Carson Lambos (R)	0				X	100.00	68	41	72	60	77	66	72	59	30	56	54	58	45	61	63	0	75	59	0
5	Gavin White (R)	0				X	100.00	65	38	89	56	74	70	68	54	30	57	50	53	45	62	64	0	75	58	0

	TEAM AVERAGE					100.00	66	39	86	63	73	77	76	62	50	62	58	61	57	65	67	0	75	62

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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	81	82	77	79	80	79	81	80	79	81	80	74	86	0	75	69	0
2	Sebastian Cossa (R)	100.00	71	78	74	98	70	69	71	70	69	71	70	62	67	0	75	64	0
Scratches
1	Zach Sawchenko (R)	100.00	72	79	75	74	71	70	72	71	70	72	71	67	77	0	75	64	0

	TEAM AVERAGE	100.00	75	80	75	84	74	73	75	74	73	75	74	68	77	0	75	66

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Neil Graham	65	68	74	78	58	55	88	CAN	38	2	550,000$

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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`)
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6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
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	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Alexandre Texier	Americans (BUF)	C	33	19	16	35	2	14	0	50	116	138	38	111	13.77%	20	664	20.15	0	1	1	4	14	4	68	2	1	45.86%	942	0	1.05	1	2	0	0	0	3	0	0
2	Emil Bemstrom	Americans (BUF)	LW/RW	34	12	21	33	0	0	0	34	51	123	30	104	9.76%	5	683	20.10	6	4	10	23	88	0	2	2	2	51.79%	56	0	0.97	0	2	0	0	0	1	2	3
3	Ben Hutton	Americans (BUF)	D	34	7	20	27	-4	23	15	38	48	62	20	37	11.29%	39	749	22.05	6	5	11	31	90	1	57	0	0	0.00%	0	0	0.72	0	0	0	1	2	0	1	5
4	Alex Turcotte	Americans (BUF)	C	30	9	16	25	-3	0	0	50	62	87	27	65	10.34%	8	523	17.43	5	9	14	20	85	0	3	2	1	47.38%	669	0	0.96	0	1	0	0	0	3	2	0
5	Oliver Kylington	Americans (BUF)	D	34	4	21	25	-7	17	5	63	58	76	29	62	5.26%	33	732	21.55	2	6	8	49	99	0	18	2	0	0.00%	0	0	0.68	0	0	0	0	1	0	2	2
6	Fredrik Olofsson	Americans (BUF)	LW	34	10	14	24	-4	19	5	53	54	96	23	62	10.42%	6	676	19.89	1	4	5	17	88	0	0	0	0	46.67%	60	1	0.71	1	1	0	1	0	2	2	2
7	Samuel Fagemo	Americans (BUF)	RW	34	7	13	20	-5	10	0	63	50	112	32	77	6.25%	7	617	18.15	3	3	6	33	103	0	0	2	0	38.89%	54	0	0.65	0	1	0	0	0	1	1	1
8	Joel Hanley	Americans (BUF)	D	34	3	13	16	2	31	5	66	47	25	6	15	12.00%	49	597	17.58	0	1	1	1	2	0	56	2	0	0.00%	0	0	0.54	0	0	1	0	0	0	2	0
9	Nick Abruzzese	Americans (BUF)	C	34	6	9	15	2	14	0	35	49	61	21	56	9.84%	4	485	14.28	0	3	3	11	81	1	8	0	0	43.44%	633	0	0.62	0	1	0	0	0	0	0	2
10	Will Butcher	Americans (BUF)	D	34	1	14	15	4	12	0	20	30	33	12	27	3.03%	22	600	17.67	0	3	3	17	91	0	5	0	0	0.00%	0	0	0.50	0	0	0	0	0	0	1	0
11	Daemon Hunt	Americans (BUF)	D	34	5	9	14	-11	10	0	63	32	30	13	22	16.67%	41	704	20.72	0	0	0	3	14	1	62	2	0	0.00%	0	0	0.40	0	0	0	0	0	1	1	0
12	Amadeus Lombardi	Americans (BUF)	C	21	4	6	10	-4	8	0	39	28	24	8	21	16.67%	3	368	17.53	0	4	4	5	62	0	8	1	1	46.05%	76	0	0.54	0	0	0	0	0	0	0	0
13	Alex Whelan	Americans (BUF)	RW	34	4	5	9	2	2	0	30	18	25	12	13	16.00%	6	462	13.59	0	0	0	0	9	0	68	1	0	46.15%	39	0	0.39	0	0	0	0	0	1	1	0
14	Arshdeep Bains	Americans (BUF)	LW	34	4	5	9	1	8	0	42	27	56	16	40	7.14%	3	420	12.36	0	0	0	1	2	1	12	0	0	47.22%	36	0	0.43	0	1	0	0	0	1	0	1
15	William Bitten	Americans (BUF)	C	34	5	3	8	-13	4	0	21	26	53	12	30	9.43%	4	315	9.27	1	0	1	2	3	0	1	0	1	43.75%	288	0	0.51	0	0	0	0	0	1	0	0
16	Christian Kyrou	Americans (BUF)	D	19	1	6	7	-4	8	0	23	13	16	10	12	6.25%	14	336	17.69	1	3	4	11	46	0	35	0	0	0.00%	0	0	0.42	0	0	0	0	0	0	0	0
17	Landon Slaggert	Americans (BUF)	LW	12	3	4	7	-1	2	0	19	14	26	4	16	11.54%	3	202	16.87	0	2	2	3	29	0	8	0	0	42.86%	14	0	0.69	0	0	0	0	0	1	1	0
18	Dylan Coghlan	Americans (BUF)	D	17	2	4	6	-3	10	0	35	26	23	3	11	8.70%	27	358	21.07	1	2	3	15	42	2	25	1	0	0.00%	0	0	0.33	0	0	0	0	0	1	0	0
19	Kyle McDonald	Americans (BUF)	RW	34	3	3	6	-7	8	0	37	18	27	17	20	11.11%	6	301	8.88	0	1	1	1	4	0	43	0	0	46.88%	32	0	0.40	0	0	0	0	0	0	0	0
20	Blake McLaughlin	Americans (BUF)	LW	25	1	1	2	0	0	0	6	5	13	3	7	7.69%	0	186	7.46	0	0	0	1	3	1	4	0	0	58.33%	12	0	0.21	0	0	0	0	0	0	0	0
21	Gabriel Fortier	Americans (BUF)	C	34	0	1	1	-5	0	0	3	15	13	4	8	0.00%	1	115	3.38	0	0	0	0	0	1	28	0	0	49.17%	120	0	0.17	0	0	0	0	0	0	0	0
22	Adam Raska	Americans (BUF)	RW	3	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0.49	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				636	110	204	314	-58	200	30	790	787	1119	340	816	9.83%	301	10103	15.89	26	51	77	248	965	12	521	17	6	45.69%	3031	1	0.62	2	9	1	2	3	16	16	16

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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	GA	SA	EG	PS %	PSA	ST	BG	S1
1	Calvin Pickard	Americans (BUF)	25	15	8	1	0.895	3.12	1422	0	74	703	1	1.000	6	25	9	1
2	Sebastian Cossa	Americans (BUF)	12	4	5	1	0.881	3.52	631	2	37	310	0	1.000	3	9	22	0
Team Total or Average			37	19	13	2	0.890	3.24	2053	2	111	1013	1	1.000	9	34	31	1

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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 Raska	RW	23	2001-09-25	Yes	178 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Alex Turcotte	C	23	2001-02-26	Yes	185 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Alex Whelan	RW	27	1997-07-20	Yes	212 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Alexandre Texier	C	25	1999-09-13	Yes	201 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link
Amadeus Lombardi	C	21	2003-06-05	Yes	165 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Arshdeep Bains	LW	23	2001-01-09	Yes	184 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Ben Hutton	D	31	1993-04-20	No	201 Lbs	6 ft3	No	No	Yes	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Blake McLaughlin	LW	24	2000-02-14	Yes	160 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Calvin Pickard	G	32	1992-04-15	No	206 Lbs	6 ft1	No	No	Yes	2	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Carson Lambos	D	21	2003-01-14	Yes	197 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Christian Kyrou	D	21	2003-09-16	Yes	166 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Daemon Hunt	D	22	2002-05-12	Yes	201 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Dylan Coghlan	D	26	1998-02-19	Yes	208 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Emil Bemstrom	LW/RW	25	1999-06-01	Yes	195 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Fredrik Olofsson	LW	28	1996-05-27	No	190 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	920,000$	0$	0$	No	Link / NHL Link
Gabriel Fortier	C	24	2000-02-06	Yes	177 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Gavin White	D	21	2002-11-12	Yes	196 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Joel Hanley	D	33	1991-06-08	No	186 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	840,000$	0$	0$	No	Link / NHL Link
Kyle McDonald	RW	22	2002-02-05	Yes	221 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Landon Slaggert	LW	22	2002-06-25	Yes	180 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Nick Abruzzese	C	25	1999-06-04	Yes	183 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Oliver Kylington	D	27	1997-05-19	Yes	183 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link
Samuel Fagemo	RW	24	2000-03-14	Yes	200 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	956,700$	0$	0$	No	Link / NHL Link
Sebastian Cossa	G	21	2002-11-21	Yes	229 Lbs	6 ft6	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Will Butcher	D	29	1995-01-06	No	190 Lbs	5 ft10	No	No	No	2	UFA	Pro & Farm	875,000$	0$	0$	No	Link / NHL Link
William Bitten	C	26	1998-07-10	No	180 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	805,000$	0$	0$	No	Link / NHL Link
Zach Sawchenko	G	26	1997-12-30	Yes	185 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	852,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	24.89	191 Lbs	6 ft0	2.00	898,100$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Fredrik Olofsson	Alexandre Texier	Emil Bemstrom	40	1	2	2
2	Landon Slaggert	Alex Turcotte	Samuel Fagemo	30	1	2	2
3	Arshdeep Bains	Nick Abruzzese	Alex Whelan	20	1	2	2
4	Blake McLaughlin	William Bitten	Kyle McDonald	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Oliver Kylington	Daemon Hunt	35	1	2	2
2	Ben Hutton	Dylan Coghlan	35	1	2	2
3	Joel Hanley	Will Butcher	20	1	2	2
4	Joel Hanley	Will Butcher	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Landon Slaggert	Alex Turcotte	Samuel Fagemo	60	1	2	2
2	Fredrik Olofsson	Alexandre Texier	Emil Bemstrom	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dylan Coghlan	Oliver Kylington	60	1	2	2
2	Will Butcher	Ben Hutton	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nick Abruzzese	Alex Whelan	60	1	2	2
2	Gabriel Fortier	Kyle McDonald	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Daemon Hunt	Dylan Coghlan	60	1	2	2
2	Joel Hanley	Ben Hutton	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Gabriel Fortier	60	1	2	2	Will Butcher	Oliver Kylington	60	1	2	2
2	William Bitten	40	1	2	2	Ben Hutton	Joel Hanley	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	William Bitten	Arshdeep Bains	60	1	2	2
2	Nick Abruzzese	Kyle McDonald	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Daemon Hunt	Joel Hanley	60	1	2	2
2	Dylan Coghlan	Ben Hutton	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Emil Bemstrom	Alex Turcotte	Samuel Fagemo	Oliver Kylington	Dylan Coghlan

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Arshdeep Bains	Alexandre Texier	Kyle McDonald	Daemon Hunt	Joel Hanley

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nick Abruzzese, Arshdeep Bains, Samuel Fagemo	Landon Slaggert, Alex Whelan	Kyle McDonald

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Joel Hanley, Dylan Coghlan, Ben Hutton	Will Butcher	Dylan Coghlan, Joel Hanley

Penalty Shots
Alexandre Texier, Emil Bemstrom, Arshdeep Bains, Samuel Fagemo, Nick Abruzzese

Goalie
#1 : Calvin Pickard, #2 : Sebastian Cossa

Custom OT Lines Forwards
Kyle McDonald, Alexandre Texier, Arshdeep Bains, Emil Bemstrom, Samuel Fagemo, Alex Turcotte, Alex Turcotte, Alex Whelan, Fredrik Olofsson, Nick Abruzzese, William Bitten

Custom OT Lines Defensemen
Daemon Hunt, Oliver Kylington, Ben Hutton, Joel Hanley, Will Butcher

Show or Hide Column

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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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			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
34	40	W2	112	204	316	1119	1014	301	202	790	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
34	14	13	3	2	2	0	112	112

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	10	7	1	1	0	0	63	53

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	4	6	2	1	2	0	49	59

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
113	26	23.01%	78	17	78.21%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
380	363	363	22	39	35	33	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
579	1260	45.95%	551	1177	46.81%	255	574	44.43%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
847	588	764	246	444	228

Last Played Games Show or Hide Column

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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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1 - 2024-10-04	1	Devils	4	Americans	2	L			BoxScore
2 - 2024-10-05	2	Americans	3	Devils	2	W			BoxScore
7 - 2024-10-10	12	Reign	2	Americans	1	L			BoxScore
9 - 2024-10-12	25	Checkers	1	Americans	6	W			BoxScore
13 - 2024-10-16	57	Americans	4	Penguins	3	W	X	X	BoxScore
14 - 2024-10-17	67	Americans	4	Monsters	3	W	X	X	BoxScore
16 - 2024-10-19	85	Americans	0	IceHogs	5	L			BoxScore
19 - 2024-10-22	95	Stars	3	Americans	0	L			BoxScore
23 - 2024-10-26	122	Griffins	4	Americans	5	W			BoxScore
25 - 2024-10-28	140	Checkers	1	Americans	4	W			BoxScore
29 - 2024-11-01	169	Sound Tigers	1	Americans	2	W			BoxScore
30 - 2024-11-02	179	Americans	4	Griffins	5	L			BoxScore
33 - 2024-11-05	194	Senators	3	Americans	2	L			BoxScore
35 - 2024-11-07	213	Americans	5	Wolf Pack	4	W	X		BoxScore
37 - 2024-11-09	224	Wranglers	4	Americans	1	L			BoxScore
39 - 2024-11-11	239	Rocket	2	Americans	6	W			BoxScore
42 - 2024-11-14	257	Thunderbirds	2	Americans	4	W			BoxScore
44 - 2024-11-16	278	Americans	3	Phantoms	5	L			BoxScore
48 - 2024-11-20	305	Americans	4	Reign	3	W			BoxScore
50 - 2024-11-22	317	Americans	2	Gulls	5	L			BoxScore
51 - 2024-11-23	331	Americans	5	Barracuda	4	W			BoxScore
55 - 2024-11-27	347	Wild	4	Americans	3	L	X		BoxScore
57 - 2024-11-29	364	Comets	5	Americans	3	L			BoxScore
58 - 2024-11-30	383	Americans	2	Sound Tigers	4	L			BoxScore
61 - 2024-12-03	397	Eagles	1	Americans	2	W			BoxScore
63 - 2024-12-05	410	Moose	4	Americans	5	W	X		BoxScore
65 - 2024-12-07	426	Roadrunners	2	Americans	5	W			BoxScore
67 - 2024-12-09	443	Griffins	2	Americans	6	W			BoxScore
69 - 2024-12-11	457	Wolf Pack	5	Americans	2	L			BoxScore
72 - 2024-12-14	480	Americans	4	Bears	2	W			BoxScore
73 - 2024-12-15	490	Americans	3	Marlies	4	L	X		BoxScore
75 - 2024-12-17	497	Americans	1	Rocket	6	L			BoxScore
78 - 2024-12-20	521	Marlies	3	Americans	4	W			BoxScore
79 - 2024-12-21	531	Americans	5	Bruins	4	W	X		BoxScore
81 - 2024-12-23	552	Americans	-	Sound Tigers	-
85 - 2024-12-27	558	IceHogs	-	Americans	-
87 - 2024-12-29	582	Americans	-	Thunderbirds	-
89 - 2024-12-31	595	Americans	-	Stars	-
91 - 2025-01-02	610	Americans	-	Eagles	-
93 - 2025-01-04	630	Americans	-	Silver Knights	-
95 - 2025-01-06	637	Bears	-	Americans	-
98 - 2025-01-09	654	Americans	-	Senators	-
100 - 2025-01-11	670	Firebirds	-	Americans	-
104 - 2025-01-15	705	Wolves	-	Americans	-
106 - 2025-01-17	720	Penguins	-	Americans	-
109 - 2025-01-20	742	Americans	-	Firebirds	-
110 - 2025-01-21	755	Americans	-	Comets	-
112 - 2025-01-23	767	Americans	-	Wranglers	-
114 - 2025-01-25	777	Americans	-	Condors	-
117 - 2025-01-28	799	Bruins	-	Americans	-
120 - 2025-01-31	822	Admirals	-	Americans	-
122 - 2025-02-02	835	Devils	-	Americans	-
124 - 2025-02-04	846	Monsters	-	Americans	-
128 - 2025-02-08	885	Americans	-	Admirals	-
142 - 2025-02-22	895	Wolf Pack	-	Americans	-
145 - 2025-02-25	919	Gulls	-	Americans	-
147 - 2025-02-27	940	Americans	-	Wolves	-
149 - 2025-03-01	953	Rocket	-	Americans	-
151 - 2025-03-03	968	Americans	-	Rocket	-
152 - 2025-03-04	974	Barracuda	-	Americans	-
154 - 2025-03-06	989	Americans	-	Crunch	-
156 - 2025-03-08	1006	Americans	-	Checkers	-
158 - 2025-03-10	1021	Condors	-	Americans	-
160 - 2025-03-12	1036	Americans	-	Griffins	-
163 - 2025-03-15	1055	Silver Knights	-	Americans	-
165 - 2025-03-17	1073	Americans	-	Bruins	-
168 - 2025-03-20	1100	Americans	-	Roadrunners	-
170 - 2025-03-22	1106	Americans	-	Wild	-
171 - 2025-03-23	1119	Americans	-	Moose	-
173 - 2025-03-25	1129	Senators	-	Americans	-
175 - 2025-03-27	1143	Penguins	-	Americans	-
Trade Deadline --- Trades can’t be done after this day is simulated!
177 - 2025-03-29	1159	Americans	-	Phantoms	-
178 - 2025-03-30	1171	Americans	-	Bears	-
180 - 2025-04-01	1184	Americans	-	Senators	-
184 - 2025-04-05	1215	Crunch	-	Americans	-
185 - 2025-04-06	1226	Bruins	-	Americans	-
187 - 2025-04-08	1235	Wolves	-	Americans	-
189 - 2025-04-10	1253	Americans	-	Monsters	-
191 - 2025-04-12	1268	Americans	-	Checkers	-
192 - 2025-04-13	1280	Americans	-	Crunch	-
194 - 2025-04-15	1292	Marlies	-	Americans	-
196 - 2025-04-17	1307	Phantoms	-	Americans	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	25	15
Attendance	37,663	18,819
Attendance PCT	99.11%	99.05%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
-9	2973 - 99.09%	80,517$	1,529,825$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,186,480$	2,424,870$	2,424,870$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	959,520$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
-724,654$	117	15,178$	1,775,826$

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
5	80	29	40	0	3	1	6	1	228	262	-34	40	15	19	0	2	1	2	1	103	112	-9	40	14	21	0	1	0	4	0	125	150	-25	78	228	368	596	1	13	0	51	95	73	2294	0	607	892	780	2707	943	1239	1907	213	59	27.70%	219	58	73.52%	9	748	1418	52.75%	799	1618	49.38%	627	1228	51.06%	1485	658	1851	980	1780	883
5	80	17	53	0	3	2	2	3	199	354	-155	40	9	27	0	2	0	1	1	114	178	-64	40	8	26	0	1	2	1	2	85	176	-91	49	199	338	537	0	6	0	58	65	71	2063	0	632	727	684	2420	894	1111	2002	199	44	22.11%	211	68	67.77%	4	687	1362	50.44%	582	1091	53.35%	625	1265	49.41%	1529	666	1770	951	1803	934
6	80	16	45	0	5	4	4	6	181	270	-89	40	8	21	0	3	1	3	4	84	128	-44	40	8	24	0	2	3	1	2	97	142	-45	60	181	285	466	0	4	0	42	69	61	1716	0	499	616	585	2252	716	708	2029	184	35	19.02%	169	39	76.92%	6	601	1262	47.62%	705	1421	49.61%	534	1079	49.49%	1407	551	3685	1997	1889	945
6	80	38	31	0	3	0	4	4	311	276	35	40	20	16	0	1	0	1	2	142	117	25	40	18	15	0	2	0	3	2	169	159	10	94	311	497	808	0	2	0	68	126	110	2610	0	784	911	895	2440	812	1766	2229	225	44	19.56%	270	66	75.56%	10	902	1733	52.05%	852	1707	49.91%	716	1414	50.64%	1580	769	3619	1925	1689	820
7	76	20	40	0	4	3	4	5	164	219	-55	38	16	13	0	2	1	3	3	99	102	-3	38	4	27	0	2	2	1	2	65	117	-52	64	164	261	425	0	6	0	22	77	57	1610	0	439	611	530	2181	652	758	1945	164	31	18.90%	179	42	76.54%	7	546	1172	46.59%	665	1504	44.22%	431	980	43.98%	1297	508	1549	836	1770	862
7	76	19	34	0	13	2	4	4	163	203	-40	38	8	19	0	7	0	2	2	96	115	-19	38	11	15	0	6	2	2	2	67	88	-21	78	163	257	420	0	6	0	29	58	59	1334	0	315	538	429	2172	717	666	1634	148	31	20.95%	191	35	81.68%	5	482	1047	46.04%	721	1532	47.06%	466	970	48.04%	1275	454	1535	818	1806	925
8	76	11	52	0	2	5	2	4	154	302	-148	38	8	23	0	1	3	1	2	79	138	-59	38	3	29	0	1	2	1	2	75	164	-89	39	154	252	406	1	3	0	33	50	67	1372	0	373	454	531	2172	728	833	1525	163	40	24.54%	178	63	64.61%	0	592	1171	50.56%	684	1338	51.12%	485	968	50.10%	1247	445	1543	830	1807	915
8	76	17	47	0	3	2	2	5	158	250	-92	38	6	24	0	2	0	2	4	79	134	-55	38	11	23	0	1	2	0	1	79	116	-37	51	158	253	411	2	1	0	33	60	60	1656	0	436	597	594	2401	836	1342	1828	184	41	22.28%	249	63	74.70%	6	632	1320	47.88%	834	1780	46.85%	462	947	48.79%	1313	508	1577	811	1714	869
9	80	12	51	0	3	7	2	5	118	250	-132	40	7	27	0	0	3	1	2	61	133	-72	40	5	24	0	3	4	1	3	57	117	-60	46	118	174	292	5	6	0	14	43	56	1247	0	246	405	578	2235	776	767	1456	129	25	19.38%	192	39	79.69%	5	491	1064	46.15%	724	1601	45.22%	408	887	46.00%	1231	404	1677	903	1932	951
9	80	27	40	0	6	2	2	3	225	266	-41	40	13	21	0	3	1	1	1	117	139	-22	40	14	19	0	3	1	1	2	108	127	-19	75	225	368	593	0	6	0	54	85	78	2458	0	734	888	816	2550	860	1017	2040	186	44	23.66%	259	67	74.13%	6	789	1671	47.22%	886	1788	49.55%	561	1121	50.04%	1542	738	1609	821	1678	824
10	80	21	44	0	1	2	7	5	171	242	-71	40	12	22	0	1	1	3	1	92	128	-36	40	9	22	0	0	1	4	4	79	114	-35	65	171	268	439	2	3	0	24	56	83	1593	0	404	528	635	2489	839	752	1448	205	48	23.41%	204	49	75.98%	4	615	1330	46.24%	763	1697	44.96%	504	1001	50.35%	1331	481	1660	862	1874	966
10	80	17	42	0	9	3	6	3	174	254	-80	40	8	21	0	5	3	3	0	84	130	-46	40	9	21	0	4	0	3	3	90	124	-34	70	174	270	444	4	3	0	29	57	73	1763	0	409	664	663	2509	798	902	1484	186	50	26.88%	194	50	74.23%	3	635	1361	46.66%	820	1768	46.38%	450	1019	44.16%	1377	536	1624	851	1850	945
11	80	24	36	0	9	3	3	5	214	239	-25	40	12	18	0	3	3	1	3	108	117	-9	40	12	18	0	6	0	2	2	106	122	-16	80	214	350	564	2	7	0	37	77	88	2054	0	565	710	749	2272	759	745	1839	165	53	32.12%	226	60	73.45%	5	733	1416	51.77%	750	1527	49.12%	518	983	52.70%	1422	598	1593	871	1834	900
11	80	20	42	0	6	3	3	6	162	225	-63	40	10	21	0	2	2	2	3	86	108	-22	40	10	21	0	4	1	1	3	76	117	-41	67	162	259	421	2	4	0	32	50	71	1609	0	391	527	649	2418	805	531	1665	190	59	31.05%	179	52	70.95%	4	668	1299	51.42%	867	1692	51.24%	462	907	50.94%	1372	506	1624	861	1862	968
12	76	34	30	0	2	6	3	1	263	263	0	38	16	15	0	1	3	3	0	137	137	0	38	18	15	0	1	3	0	1	126	126	0	85	263	429	692	1	1	0	67	102	89	3111	0	1035	1119	954	2573	868	798	2099	225	68	30.22%	191	58	69.63%	5	1070	1999	53.53%	874	1616	54.08%	626	1176	53.23%	1644	899	1457	737	1482	729
13	80	48	21	0	0	3	3	5	296	217	79	40	25	8	0	0	2	2	3	149	107	42	40	23	13	0	0	1	1	2	147	110	37	110	296	488	784	6	4	0	75	127	91	3470	0	1214	1269	976	2688	903	310	2299	221	54	24.43%	107	27	74.77%	3	1158	2209	52.42%	929	1834	50.65%	613	1216	50.41%	1798	1025	1525	755	1521	751
14	80	48	18	0	3	0	8	3	286	204	82	40	23	12	0	1	0	4	0	139	106	33	40	25	6	0	2	0	4	3	147	98	49	121	286	468	754	5	5	0	74	111	90	3421	0	1210	1203	984	2696	931	367	2118	232	51	21.98%	104	24	76.92%	3	1135	2167	52.38%	957	1816	52.70%	602	1150	52.35%	1805	1024	1526	747	1524	771
15	80	51	15	0	1	2	6	5	322	222	100	40	29	6	0	0	1	1	3	168	103	65	40	22	9	0	1	1	5	2	154	119	35	123	322	525	847	2	4	0	101	97	117	3445	0	1279	1107	1049	2774	932	332	2135	210	43	20.48%	113	26	76.99%	3	1098	2080	52.79%	938	1824	51.43%	646	1232	52.44%	1801	1030	1545	747	1514	757
16	76	51	14	0	1	3	5	2	284	185	99	38	27	6	0	1	1	3	0	149	86	63	38	24	8	0	0	2	2	2	135	99	36	119	284	507	791	1	6	0	103	92	83	2849	0	878	992	954	1956	617	536	1505	267	60	22.47%	201	38	81.09%	2	1551	2820	55.00%	1195	2189	54.59%	685	1226	55.87%	1944	1372	1670	550	984	501
17	80	54	13	0	1	1	8	3	326	161	165	40	24	6	0	1	0	7	2	165	82	83	40	30	7	0	0	1	1	1	161	79	82	130	326	583	909	1	13	0	114	116	87	3167	0	1000	1113	1018	2016	559	450	1567	244	58	23.77%	197	24	87.82%	6	1798	3080	58.38%	1350	2421	55.76%	780	1310	59.54%	2131	1520	1694	560	1033	539
18	76	36	20	0	3	2	6	9	219	180	39	38	21	9	0	1	1	1	5	108	83	25	38	15	11	0	2	1	5	4	111	97	14	101	219	387	606	1	7	0	88	64	58	2489	0	814	821	816	2068	635	495	1480	243	43	17.70%	224	34	84.82%	1	1396	2589	53.92%	1284	2453	52.34%	564	1130	49.91%	1925	1347	1724	562	989	505
19	82	54	20	0	3	2	1	2	298	166	132	41	28	9	0	3	0	0	1	155	76	79	41	26	11	0	0	2	1	1	143	90	53	120	298	548	846	1	12	0	113	86	95	2726	0	943	885	885	1952	564	378	1439	188	52	27.66%	161	24	85.09%	0	1457	2673	54.51%	1178	2320	50.78%	666	1266	52.61%	2150	1522	1730	572	1063	554
20	82	51	23	0	3	3	2	0	278	202	76	41	30	7	0	2	1	1	0	142	89	53	41	21	16	0	1	2	1	0	136	113	23	115	278	505	783	2	7	0	107	100	66	2751	0	945	950	835	2328	617	675	1884	290	63	21.72%	272	42	84.56%	3	1595	2903	54.94%	1477	2721	54.28%	733	1313	55.83%	2093	1473	1794	590	1058	544
21	82	50	20	0	6	3	3	0	326	225	101	41	26	8	0	2	2	3	0	173	112	61	41	24	12	0	4	1	0	0	153	113	40	121	326	569	895	1	5	0	139	104	74	3227	0	1110	1034	1058	2803	803	582	1959	247	60	24.29%	246	40	83.74%	1	1675	3210	52.18%	1543	3047	50.64%	680	1324	51.36%	2127	1536	1816	552	1012	526
22	82	39	24	0	7	4	6	2	320	267	53	41	18	11	0	5	3	3	1	152	129	23	41	21	13	0	2	1	3	1	168	138	30	110	320	574	894	2	0	0	117	95	95	3187	0	1056	1050	1027	2789	814	503	1891	247	45	18.22%	215	57	73.49%	0	1716	3214	53.39%	1577	3011	52.37%	745	1420	52.46%	2080	1479	1835	577	1060	539
23	82	41	28	0	5	5	1	2	334	278	56	41	20	13	0	2	3	1	2	166	147	19	41	21	15	0	3	2	0	0	168	131	37	101	334	606	940	3	5	120	106	102	6	3183	1027	1031	1094	38	2759	795	513	1854	253	60	23.72%	220	48	78.18%	4	1822	3169	57.49%	1563	2901	53.88%	796	1428	55.74%	2129	1538	1799	557	1023	533
2022	82	42	30	0	5	4	1	0	344	291	53	41	18	16	0	4	2	1	0	181	161	20	41	24	14	0	1	2	0	0	163	130	33	100	344	628	972	1	2	116	115	107	6	3210	1034	1106	1052	23	2670	793	571	1920	274	71	25.91%	242	47	80.58%	1	1816	3204	56.68%	1514	2798	54.11%	813	1426	57.01%	2133	1527	1780	563	1027	536
2023	82	47	25	0	3	2	4	1	329	244	85	41	27	10	0	2	1	1	0	179	118	61	41	20	15	0	1	1	3	1	150	126	24	111	329	590	919	2	3	127	113	82	9	3132	1061	1058	999	31	2670	832	400	1944	274	66	24.09%	159	31	80.50%	0	1560	3111	50.14%	1406	2843	49.45%	654	1337	48.92%	2054	1465	1852	575	1043	531
2024	34	14	13	0	3	2	2	0	112	112	0	19	10	7	0	1	1	0	0	63	53	10	15	4	6	0	2	1	2	0	49	59	-10	40	112	204	316	1	0	39	35	33	5	1119	380	363	363	22	1014	301	202	790	113	26	23.01%	78	17	78.21%	0	579	1260	45.95%	551	1177	46.81%	255	574	44.43%	847	588	764	246	444	228
Total Regular Season	2260	948	911	0	116	81	110	94	6959	6829	130	1132	494	435	0	60	40	57	46	3570	3368	202	1128	454	476	0	56	41	53	48	3389	3461	-72	2523	6959	11811	18770	49	144	402	1993	2386	1978	69866	3502	21876	24119	19788	68974	22099	20249	51915	6069	1424	23.46%	5650	1288	77.20%	106	30547	58314	52.38%	28988	57035	50.82%	17107	33297	51.38%	48083	27179	51443	23221	42080	21264
Playoff
12	5	1	4	0	0	0	0	0	19	29	-10	2	0	2	0	0	0	0	0	5	8	-3	3	1	2	0	0	0	0	0	14	21	-7	2	19	33	52	0	0	0	4	5	10	193	0	74	53	63	203	74	25	115	13	5	38.46%	6	5	16.67%	1	57	111	51.35%	69	120	57.50%	51	97	52.58%	103	56	110	46	93	48
13	20	11	9	0	0	0	0	0	77	72	5	9	6	3	0	0	0	0	0	31	23	8	11	5	6	0	0	0	0	0	46	49	-3	22	77	125	202	1	0	0	26	28	19	897	0	349	288	242	838	294	65	521	48	10	20.83%	20	6	70.00%	0	276	578	47.75%	285	552	51.63%	169	350	48.29%	446	258	429	183	360	184
14	6	2	4	0	0	0	0	0	14	16	-2	3	1	2	0	0	0	0	0	7	9	-2	3	1	2	0	0	0	0	0	7	7	0	4	14	24	38	0	0	0	3	3	8	233	0	64	72	87	219	75	38	181	4	1	25.00%	14	4	71.43%	0	78	147	53.06%	76	142	53.52%	36	73	49.32%	128	68	123	60	123	60
15	23	16	7	0	0	0	0	0	81	62	19	13	9	4	0	0	0	0	0	49	36	13	10	7	3	0	0	0	0	0	32	26	6	32	81	138	219	2	0	0	21	34	25	1030	0	347	342	339	896	274	124	623	48	12	25.00%	38	5	86.84%	1	324	626	51.76%	332	620	53.55%	182	349	52.15%	509	297	462	211	417	204
16	16	11	5	0	0	0	0	0	54	47	7	9	7	2	0	0	0	0	0	30	25	5	7	4	3	0	0	0	0	0	24	22	2	22	54	99	153	0	0	0	15	19	18	541	0	162	182	195	474	159	131	302	52	12	23.08%	50	11	78.00%	1	303	571	53.06%	271	486	55.76%	144	270	53.33%	397	274	363	112	204	102
17	7	3	4	0	0	0	0	0	12	14	-2	4	1	3	0	0	0	0	0	8	10	-2	3	2	1	0	0	0	0	0	4	4	0	6	12	17	29	0	1	0	4	5	3	254	0	69	93	77	196	50	52	143	23	2	8.70%	26	2	92.31%	0	158	275	57.45%	126	250	50.40%	58	105	55.24%	175	119	181	54	96	49
18	16	10	6	0	0	0	0	0	46	38	8	7	4	3	0	0	0	0	0	19	17	2	9	6	3	0	0	0	0	0	27	21	6	20	46	83	129	0	1	0	14	17	14	482	0	150	148	151	484	143	104	300	42	7	16.67%	50	7	86.00%	2	273	527	51.80%	293	543	53.96%	142	274	51.82%	398	274	407	126	223	111
19	18	11	7	0	0	0	0	0	54	49	5	9	6	3	0	0	0	0	0	28	26	2	9	5	4	0	0	0	0	0	26	23	3	22	54	98	152	1	0	0	13	25	15	564	0	158	192	190	561	169	107	318	51	13	25.49%	50	6	88.00%	0	279	619	45.07%	305	660	46.21%	141	284	49.65%	458	314	441	138	249	126
20	18	11	7	0	0	0	0	0	64	46	18	10	6	4	0	0	0	0	0	39	27	12	8	5	3	0	0	0	0	0	25	19	6	22	64	110	174	0	0	0	32	16	15	652	0	213	219	203	543	153	156	444	74	19	25.68%	69	11	84.06%	0	386	712	54.21%	375	646	58.05%	168	293	57.34%	461	316	410	136	241	124
21	12	6	6	0	0	0	0	0	37	35	2	6	4	2	0	0	0	0	0	21	14	7	6	2	4	0	0	0	0	0	16	21	-5	12	37	68	105	0	1	0	11	15	11	462	0	149	151	157	405	111	74	252	46	8	17.39%	35	7	80.00%	0	254	490	51.84%	215	430	50.00%	97	176	55.11%	320	228	259	83	152	78
22	12	6	6	0	0	0	0	0	36	36	0	6	5	1	0	0	0	0	0	25	15	10	6	1	5	0	0	0	0	0	11	21	-10	12	36	64	100	1	0	0	17	9	10	417	0	134	143	140	381	108	107	293	51	10	19.61%	36	8	77.78%	0	231	479	48.23%	202	416	48.56%	84	177	47.46%	290	198	275	89	153	79
23	27	16	11	0	0	0	0	0	106	88	18	14	9	5	0	0	0	0	0	55	41	14	13	7	6	0	0	0	0	0	51	47	4	32	106	196	302	0	2	0	42	32	29	960	0	341	301	291	953	298	195	627	88	17	19.32%	88	19	78.41%	0	547	1063	51.46%	496	1000	49.60%	228	478	47.70%	664	465	645	198	348	171
2022	23	15	8	0	0	0	0	0	95	76	19	11	7	4	0	0	0	0	0	47	35	12	12	8	4	0	0	0	0	0	48	41	7	30	95	169	264	0	0	35	30	27	3	843	256	288	275	24	812	241	191	605	61	16	26.23%	78	11	85.90%	2	434	845	51.36%	418	855	48.89%	199	381	52.23%	563	394	557	165	297	150
2023	21	11	10	0	0	0	0	0	90	69	21	12	7	5	0	0	0	0	0	55	35	20	9	4	5	0	0	0	0	0	35	34	1	22	90	167	257	2	0	35	24	29	2	781	253	262	247	19	737	201	100	469	78	27	34.62%	37	11	70.27%	0	364	784	46.43%	345	777	44.40%	157	360	43.61%	514	358	496	152	278	143
Total Playoff	224	130	94	0	0	0	0	0	785	677	108	115	72	43	0	0	0	0	0	419	321	98	109	58	51	0	0	0	0	0	366	356	10	260	785	1391	2176	7	5	70	256	264	182	8309	509	2760	2706	2178	7702	2350	1469	5193	679	159	23.42%	597	113	81.07%	7	3964	7827	50.65%	3808	7497	50.79%	1856	3667	50.61%	5432	3625	5164	1763	3242	1635