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	Rory Kerins (R)	0	X				100.00	61	35	93	68	65	85	83	67	69	66	65	64	68	63	65	0	75	65	0
2	Lukas Reichel (R)	0		X	X		100.00	61	36	94	70	69	81	87	67	74	68	60	63	66	65	67	0	75	65	0
3	Danil Gushchin (R)	0		X			100.00	61	36	84	67	62	90	84	66	68	63	65	61	69	63	65	0	75	64	0
4	Marat Khusnutdinov (R)	0	X				100.00	67	34	91	69	68	80	77	63	75	61	60	71	59	62	63	0	75	64	0
5	Joona Koppanen	0	X	X			100.00	82	38	89	61	92	78	84	59	63	60	58	62	57	67	69	0	75	64	0
6	Axel Jonsson-Fjallby (R)	0		X	X		100.00	70	37	93	64	75	79	85	62	58	60	59	61	63	67	69	0	75	63	0
7	Jonas Rondbjerg (R)	0		X	X		100.00	69	38	94	61	82	81	85	59	55	60	58	64	57	66	68	0	75	63	0
8	Parker Ford (R)	0			X		100.00	65	38	74	61	68	85	82	59	61	58	63	57	66	65	67	0	75	61	0
9	William Lockwood (R)	0			X		100.00	69	39	87	60	71	77	80	57	55	59	58	56	60	67	69	0	75	61	0
10	Samuel Bolduc (R)	0				X	100.00	78	40	95	63	91	80	81	64	30	62	60	61	53	65	67	0	75	65	0
11	Kyle Burroughs	0				X	100.00	83	68	71	63	73	86	80	62	30	64	54	69	49	71	73	0	75	64	0
12	Vladislav Kolyachonok (R)	0				X	100.00	69	38	89	67	79	77	74	65	30	66	60	63	52	64	66	0	75	64	0
13	Albert Johansson (R)	0				X	100.00	66	38	81	65	68	83	84	64	30	63	56	65	51	64	66	0	75	63	0
14	Jake Bischoff	0				X	100.00	66	39	82	62	75	76	82	56	30	60	53	55	46	71	76	0	75	61	0
Scratches
1	Nicolas Aube-Kubel	0	X		X		100.00	78	62	85	66	77	78	80	64	59	61	62	63	62	71	70	0	75	65	0
2	Jack Studnicka (R)	0	X				100.00	73	39	79	63	75	87	84	64	68	60	58	65	62	66	68	0	75	63	0
3	Nikita Prishchepov	0	X				100.00	67	39	80	56	76	73	71	57	64	58	59	55	57	61	63	0	75	60	0
4	Felix Unger Sorum (R)	0			X		100.00	62	37	94	59	71	69	71	57	61	58	54	56	55	60	62	0	75	59	0
5	Jamieson Rees (R)	0	X				100.00	57	36	89	58	67	69	77	55	63	56	54	53	58	64	66	0	75	58	0
6	Adam Wilsby (R)	0				X	100.00	65	38	88	66	75	85	78	65	30	64	58	63	51	65	67	0	75	64	0
7	Elias D. Pettersson (R)	0				X	100.00	68	40	74	64	77	78	73	62	30	60	56	63	49	61	63	0	75	61	0
8	Daniil Misyul (R)	0				X	100.00	69	41	70	59	80	76	79	58	30	57	55	60	48	65	67	0	75	60	0
9	Samuel Knazko (R)	0				X	100.00	68	38	92	58	77	64	78	55	30	57	54	56	46	63	65	0	75	60	0
10	Dawson Barteaux (R)	0				X	100.00	65	38	93	57	74	65	76	56	30	58	52	54	46	65	67	0	75	59	0

	TEAM AVERAGE					100.00	68	40	86	63	74	78	80	61	50	61	58	61	56	65	67	0	75	62

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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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Matt Villalta (R)	100.00	77	90	86	81	76	75	77	76	75	77	76	66	75	0	75	67	0
2	Nikke Kokko (R)	100.00	78	77	74	80	77	76	78	77	76	78	77	61	65	0	75	66	0
Scratches
1	Dylan Garand (R)	100.00	76	86	82	70	75	74	76	75	74	76	75	63	69	0	75	65	0
2	Sergei Murashov (R)	100.00	74	75	71	75	73	72	74	73	72	74	73	61	65	0	75	64	0
3	Kevin Mandolese (R)	100.00	71	79	75	82	70	69	71	70	69	71	70	65	73	0	75	63	0

	TEAM AVERAGE	100.00	75	81	78	78	74	73	75	74	73	75	74	63	69	0	75	65

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Steve Spott	62	74	78	72	85	79	62	CAN	57	3	500,000$

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1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Lukas Reichel	Phantoms (PHI)	LW/RW	60	41	41	82	15	8	0	30	198	285	88	237	14.39%	28	1483	24.73	11	10	21	62	185	5	165	7	4	59.81%	520	1	1	1.11	0	5	0	0	0	7	9	3
2	Marat Khusnutdinov	Phantoms (PHI)	C	60	30	42	72	10	24	0	98	267	314	96	250	9.55%	29	1409	23.49	8	12	20	52	131	1	50	4	1	58.30%	1808	0	1	1.02	1	3	0	0	0	4	7	7
3	Nicolas Aube-Kubel	Phantoms (PHI)	C/RW	53	24	30	54	15	23	5	127	86	221	63	151	10.86%	11	957	18.07	8	7	15	54	151	4	43	4	1	52.29%	109	0	0	1.13	1	4	1	0	0	4	3	6
4	Danil Gushchin	Phantoms (PHI)	LW	60	29	22	51	10	22	0	70	121	298	85	238	9.73%	14	1352	22.55	5	8	13	45	133	0	1	4	2	46.67%	105	0	2	0.75	1	1	0	0	0	4	1	3
5	Jonas Rondbjerg	Phantoms (PHI)	LW/RW	60	9	32	41	6	20	0	91	103	196	45	137	4.59%	15	1332	22.20	5	10	15	38	130	0	0	1	0	47.17%	106	0	0	0.62	0	1	0	0	0	0	3	1
6	Vladislav Kolyachonok	Phantoms (PHI)	D	60	7	33	40	1	8	0	37	69	80	27	64	8.75%	76	1147	19.13	3	5	8	24	77	1	69	0	0	0.00%	1	0	0	0.70	0	1	0	0	0	0	1	0
7	Kyle Burroughs	Phantoms (PHI)	D	60	6	30	36	-4	68	0	199	78	74	30	57	8.11%	84	1211	20.20	3	8	11	29	79	0	55	1	0	28.57%	14	0	0	0.59	0	1	0	0	0	2	0	2
8	Joona Koppanen	Phantoms (PHI)	C/LW	60	17	18	35	-4	27	5	114	146	153	46	109	11.11%	16	1081	18.02	0	1	1	5	21	0	15	4	2	55.45%	1293	0	1	0.65	1	1	0	0	1	1	3	1
9	Albert Johansson	Phantoms (PHI)	D	60	5	26	31	11	30	10	77	57	55	18	39	9.09%	80	1011	16.86	0	0	0	5	10	0	1	0	0	22.22%	9	0	0	0.61	0	0	0	1	1	0	1	3
10	William Lockwood	Phantoms (PHI)	RW	60	10	19	29	1	26	0	104	77	97	21	64	10.31%	25	1230	20.51	0	0	0	0	1	0	0	1	0	50.22%	450	0	0	0.47	0	1	0	0	0	1	0	1
11	Axel Jonsson-Fjallby	Phantoms (PHI)	LW/RW	60	9	18	27	-10	15	5	40	83	147	34	103	6.12%	9	854	14.24	0	0	0	4	5	3	53	0	0	46.90%	145	0	0	0.63	0	1	0	0	1	0	1	2
12	Adam Wilsby	Phantoms (PHI)	D	33	6	19	25	10	4	0	35	40	79	27	40	7.59%	37	652	19.78	3	8	11	41	98	1	77	0	0	0.00%	0	0	0	0.77	0	1	0	0	0	0	1	2
13	Samuel Bolduc	Phantoms (PHI)	D	20	3	15	18	16	18	0	39	21	40	16	22	7.50%	29	480	24.05	1	4	5	8	55	1	39	0	0	0.00%	0	0	0	0.75	0	0	0	0	0	0	2	1
14	Elias D. Pettersson	Phantoms (PHI)	D	51	3	14	17	8	51	5	67	41	43	13	21	6.98%	38	743	14.58	0	0	0	0	0	0	26	1	1	33.33%	15	0	0	0.46	0	0	0	0	1	1	0	1
15	Rory Kerins	Phantoms (PHI)	C	14	7	10	17	8	0	0	10	40	66	17	39	10.61%	4	301	21.56	0	2	2	12	42	2	46	1	0	57.02%	356	0	1	1.13	0	1	0	0	0	0	2	0
16	Jake Bischoff	Phantoms (PHI)	D	60	2	12	14	0	22	0	68	27	23	10	14	8.70%	57	596	9.94	0	0	0	1	2	0	10	0	1	100.00%	4	0	0	0.47	0	0	0	0	0	0	0	0
17	Jack Studnicka	Phantoms (PHI)	C	35	4	5	9	5	6	0	40	53	45	11	36	8.89%	3	272	7.78	0	0	0	1	3	0	0	2	0	55.26%	228	0	0	0.66	0	0	0	0	0	0	0	1
18	Parker Ford	Phantoms (PHI)	RW	10	6	1	7	2	4	0	11	7	22	7	9	27.27%	3	127	12.78	0	0	0	0	0	0	0	2	0	70.00%	10	0	0	1.10	0	0	0	0	0	2	0	0
Team Total or Average				876	218	387	605	100	376	30	1257	1514	2238	654	1630	9.74%	558	16249	18.55	47	75	122	381	1131	18	656	32	12	55.73%	5173	1	6	0.74	4	21	1	1	4	26	34	34

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S3
1	Matt Villalta	Phantoms (PHI)	60	33	21	5	0.908	3.07	3420	6	3	175	1893	1	1	0.762	21	60	0	6	2
2	Nikke Kokko	Phantoms (PHI)	8	1	0	0	0.938	1.71	211	0	0	6	96	0	0	0.000	0	0	60	0	0
Team Total or Average			68	34	21	5	0.909	2.99	3631	6	3	181	1989	1	1	0.762	21	60	60	6	2

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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 Wilsby	D	25	2000-08-07	Yes	188 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Albert Johansson	D	24	2001-01-04	Yes	168 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Axel Jonsson-Fjallby	LW/RW	27	1998-02-10	Yes	189 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Daniil Misyul	D	24	2000-10-20	Yes	176 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Danil Gushchin	LW	23	2002-02-06	Yes	165 Lbs	5 ft8	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Dawson Barteaux	D	25	2000-01-12	Yes	185 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Dylan Garand	G	23	2002-06-07	Yes	173 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Elias D. Pettersson	D	21	2004-02-16	Yes	185 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Felix Unger Sorum	RW	20	2005-09-14	Yes	184 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jack Studnicka	C	26	1999-02-18	Yes	187 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Jake Bischoff	D	31	1994-07-25	No	188 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jamieson Rees	C	24	2001-02-26	Yes	172 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Jonas Rondbjerg	LW/RW	26	1999-03-31	Yes	204 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Joona Koppanen	C/LW	27	1998-02-25	No	215 Lbs	6 ft5	No	No	No	1	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Kevin Mandolese	G	25	2000-08-22	Yes	180 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Kyle Burroughs	D	30	1995-07-12	No	193 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Lukas Reichel	LW/RW	23	2002-05-17	Yes	170 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Marat Khusnutdinov	C	23	2002-07-17	Yes	176 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Matt Villalta	G	26	1999-06-03	Yes	190 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Nicolas Aube-Kubel	C/RW	29	1996-05-10	No	213 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Nikita Prishchepov	C	21	2004-02-20	No	194 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Nikke Kokko	G	21	2004-03-14	Yes	184 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Parker Ford	RW	25	2000-07-20	Yes	181 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Rory Kerins	C	23	2002-04-12	Yes	175 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Samuel Bolduc	D	24	2000-12-09	Yes	224 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	892,000$	0$	0$	No	Link / NHL Link
Samuel Knazko	D	23	2002-08-07	Yes	198 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Sergei Murashov	G	21	2004-04-01	Yes	175 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Vladislav Kolyachonok	D	24	2001-05-26	Yes	195 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
William Lockwood	RW	27	1998-06-20	Yes	178 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
29	24.52	186 Lbs	6 ft1	1.69	915,241$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Lukas Reichel			35	1	2	2
2	Danil Gushchin	Marat Khusnutdinov	Jonas Rondbjerg	30	1	2	2
3	Axel Jonsson-Fjallby	Joona Koppanen		20	1	2	2
4	Lukas Reichel		William Lockwood	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2	Kyle Burroughs	Vladislav Kolyachonok	30	1	2	2
3	Albert Johansson		20	1	2	2
4	Jake Bischoff		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Lukas Reichel			60	1	2	2
2	Danil Gushchin	Marat Khusnutdinov	Jonas Rondbjerg	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Kyle Burroughs	Vladislav Kolyachonok	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Lukas Reichel		60	1	2	2
2		Marat Khusnutdinov	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Kyle Burroughs	Vladislav Kolyachonok	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Lukas Reichel	60	1	2	2			60	1	2	2
2		40	1	2	2	Kyle Burroughs	Vladislav Kolyachonok	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Lukas Reichel		60	1	2	2
2		Marat Khusnutdinov	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Kyle Burroughs	Vladislav Kolyachonok	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Lukas Reichel

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Lukas Reichel

Extra Forwards
Normal	PowerPlay	Penalty Kill
Joona Koppanen, , Axel Jonsson-Fjallby	Joona Koppanen,	Axel Jonsson-Fjallby

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Albert Johansson, , Jake Bischoff	Albert Johansson	, Jake Bischoff

Penalty Shots
Lukas Reichel, , , Marat Khusnutdinov, Danil Gushchin

Goalie
#1 : Matt Villalta, #2 : Nikke Kokko

Custom OT Lines Forwards
Lukas Reichel, , , Marat Khusnutdinov, Danil Gushchin, Joona Koppanen, Joona Koppanen, Jonas Rondbjerg, , Axel Jonsson-Fjallby,

Custom OT Lines Defensemen
, , Kyle Burroughs, Vladislav Kolyachonok, Albert Johansson

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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
60	73	W1	223	399	622	2286	1990	611	386	1286	1	3

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
60	29	21	3	2	2	3	223	185

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	18	10	0	1	1	0	111	84

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	11	11	3	1	1	3	112	101

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	3	0	0	0	2

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
191	47	24.61%	157	28	82.17%	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
751	773	750	33	82	75	61	7

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1279	2291	55.83%	1189	2114	56.24%	497	959	51.82%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1565	1119	1306	418	764	394

Last Played Games 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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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")
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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
3 - 2025-10-09	12	Phantoms	10	Checkers	4	W			BoxScore
5 - 2025-10-11	30	Phantoms	5	Wolves	0	W			BoxScore
7 - 2025-10-13	44	Checkers	3	Phantoms	5	W			BoxScore
10 - 2025-10-16	65	Moose	5	Phantoms	3	L			BoxScore
12 - 2025-10-18	81	Wild	3	Phantoms	7	W			BoxScore
14 - 2025-10-20	94	Firebirds	4	Phantoms	6	W			BoxScore
17 - 2025-10-23	113	Phantoms	3	Senators	2	W	X	X	BoxScore
19 - 2025-10-25	127	Sound Tigers	3	Phantoms	1	L			BoxScore
22 - 2025-10-28	150	Penguins	1	Phantoms	5	W			BoxScore
24 - 2025-10-30	170	Admirals	4	Phantoms	5	W			BoxScore
26 - 2025-11-01	188	Marlies	4	Phantoms	2	L			BoxScore
27 - 2025-11-02	196	Wranglers	2	Phantoms	4	W			BoxScore
29 - 2025-11-04	204	Phantoms	3	Rocket	4	L			BoxScore
31 - 2025-11-06	223	Phantoms	4	Admirals	3	W	X		BoxScore
33 - 2025-11-08	232	Senators	4	Phantoms	3	L	X		BoxScore
37 - 2025-11-12	266	Condors	0	Phantoms	2	W			BoxScore
39 - 2025-11-14	281	Phantoms	7	Thunderbirds	2	W			BoxScore
40 - 2025-11-15	293	Phantoms	5	Stars	2	W			BoxScore
45 - 2025-11-20	323	Thunderbirds	0	Phantoms	3	W			BoxScore
47 - 2025-11-22	339	Devils	1	Phantoms	5	W			BoxScore
49 - 2025-11-24	353	Phantoms	3	Crunch	4	L	X	X	BoxScore
51 - 2025-11-26	363	Phantoms	5	Checkers	3	W			BoxScore
53 - 2025-11-28	381	Phantoms	3	Sound Tigers	4	L			BoxScore
54 - 2025-11-29	395	Phantoms	0	Devils	3	L			BoxScore
56 - 2025-12-01	407	Penguins	4	Phantoms	2	L			BoxScore
58 - 2025-12-03	423	Americans	1	Phantoms	3	W			BoxScore
62 - 2025-12-07	453	Eagles	5	Phantoms	3	L			BoxScore
64 - 2025-12-09	469	Barracuda	3	Phantoms	2	L			BoxScore
66 - 2025-12-11	483	Silver Knights	3	Phantoms	8	W			BoxScore
68 - 2025-12-13	501	Wolves	2	Phantoms	4	W			BoxScore
69 - 2025-12-14	510	Phantoms	2	Wolves	4	L			BoxScore
71 - 2025-12-16	521	Phantoms	5	Rocket	4	W			BoxScore
73 - 2025-12-18	540	Phantoms	4	Americans	3	W	X		BoxScore
75 - 2025-12-20	549	Phantoms	3	Wolf Pack	4	L	X		BoxScore
77 - 2025-12-22	572	Comets	3	Phantoms	4	W	X	X	BoxScore
78 - 2025-12-23	583	Phantoms	1	IceHogs	4	L			BoxScore
83 - 2025-12-28	605	Phantoms	5	Firebirds	3	W			BoxScore
85 - 2025-12-30	621	Phantoms	3	Comets	2	W			BoxScore
86 - 2025-12-31	630	Phantoms	3	Wranglers	6	L			BoxScore
89 - 2026-01-03	647	Phantoms	2	Condors	4	L			BoxScore
92 - 2026-01-06	669	Gulls	3	Phantoms	4	W			BoxScore
94 - 2026-01-08	686	Marlies	2	Phantoms	4	W			BoxScore
96 - 2026-01-10	705	Crunch	1	Phantoms	4	W			BoxScore
98 - 2026-01-12	719	Crunch	3	Phantoms	7	W			BoxScore
100 - 2026-01-14	736	Phantoms	2	Americans	3	L			BoxScore
101 - 2026-01-15	741	Phantoms	3	Penguins	7	L			BoxScore
103 - 2026-01-17	755	Wolf Pack	5	Phantoms	4	L			BoxScore
105 - 2026-01-19	775	Phantoms	10	Silver Knights	2	W			BoxScore
107 - 2026-01-21	790	Phantoms	2	Roadrunners	4	L			BoxScore
109 - 2026-01-23	805	Phantoms	1	Eagles	3	L			BoxScore
112 - 2026-01-26	827	Sound Tigers	1	Phantoms	4	W			BoxScore
114 - 2026-01-28	840	Phantoms	3	Monsters	4	L	X	X	BoxScore
115 - 2026-01-29	843	Phantoms	4	Bruins	3	W			BoxScore
117 - 2026-01-31	859	Reign	1	Phantoms	2	W			BoxScore
120 - 2026-02-03	887	Bears	3	Phantoms	2	L			BoxScore
122 - 2026-02-05	906	Senators	5	Phantoms	1	L			BoxScore
142 - 2026-02-25	911	Phantoms	2	Bears	3	L	X	X	BoxScore
143 - 2026-02-26	924	Phantoms	4	Wolf Pack	3	W			BoxScore
145 - 2026-02-28	935	Bruins	5	Phantoms	2	L			BoxScore
147 - 2026-03-02	954	Phantoms	5	Marlies	4	W	X		BoxScore
150 - 2026-03-05	976	Roadrunners	-	Phantoms	-
152 - 2026-03-07	993	Phantoms	-	Penguins	-
154 - 2026-03-09	1008	Wolf Pack	-	Phantoms	-
156 - 2026-03-11	1026	Bears	-	Phantoms	-
157 - 2026-03-12	1035	Phantoms	-	Wild	-
159 - 2026-03-14	1052	Monsters	-	Phantoms	-
163 - 2026-03-18	1082	Phantoms	-	Gulls	-
164 - 2026-03-19	1093	Phantoms	-	Reign	-
166 - 2026-03-21	1103	Phantoms	-	Barracuda	-
169 - 2026-03-24	1125	Monsters	-	Phantoms	-
171 - 2026-03-26	1142	IceHogs	-	Phantoms	-
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-28	1163	Phantoms	-	Griffins	-
174 - 2026-03-29	1172	Stars	-	Phantoms	-
176 - 2026-03-31	1184	Phantoms	-	Bears	-
178 - 2026-04-02	1195	Griffins	-	Phantoms	-
179 - 2026-04-03	1205	Phantoms	-	Sound Tigers	-
181 - 2026-04-05	1224	Bruins	-	Phantoms	-
183 - 2026-04-07	1236	Phantoms	-	Devils	-
185 - 2026-04-09	1247	Phantoms	-	Griffins	-
187 - 2026-04-11	1272	Phantoms	-	Moose	-
189 - 2026-04-13	1284	Wolves	-	Phantoms	-
190 - 2026-04-14	1294	Rocket	-	Phantoms	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	30	20
Attendance	58,864	27,354
Attendance PCT	98.11%	91.18%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
-20	2874 - 95.80%	96,375$	2,891,252$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,408,048$	2,654,200$	2,654,200$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	2,019,933$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
-1,927,501$	45	16,428$	739,260$

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
2024	82	37	28	0	6	7	2	2	308	266	42	41	22	10	0	4	4	0	1	161	120	41	41	15	18	0	2	3	2	1	147	146	1	99	308	555	863	2	5	110	109	81	11	3090	1025	1044	987	49	2707	838	644	1987	285	67	23.51%	268	54	79.85%	5	1649	3239	50.91%	1481	2940	50.37%	730	1351	54.03%	1981	1378	1932	602	1048	522
2025	60	29	21	0	3	2	2	3	223	185	38	30	18	10	0	0	1	1	0	111	84	27	30	11	11	0	3	1	1	3	112	101	11	73	223	399	622	1	3	82	75	61	7	2286	751	773	750	33	1990	611	386	1286	191	47	24.61%	157	28	82.17%	0	1279	2291	55.83%	1189	2114	56.24%	497	959	51.82%	1565	1119	1306	418	764	394
Total Regular Season	142	66	49	0	9	9	4	5	531	451	80	71	40	20	0	4	5	1	1	272	204	68	71	26	29	0	5	4	3	4	259	247	12	172	531	954	1485	3	8	192	184	142	18	5376	1776	1817	1737	82	4697	1449	1030	3273	476	114	23.95%	425	82	80.71%	5	2928	5530	52.95%	2670	5054	52.83%	1227	2310	53.12%	3546	2497	3239	1020	1813	917
Playoff
2024	7	3	4	0	0	0	0	0	22	22	0	4	2	2	0	0	0	0	0	13	10	3	3	1	2	0	0	0	0	0	9	12	-3	6	22	40	62	0	0	9	7	5	1	236	72	80	79	5	222	65	71	146	25	3	12.00%	27	5	81.48%	0	132	250	52.80%	132	272	48.53%	65	112	58.04%	171	116	161	53	92	45
Total Playoff	7	3	4	0	0	0	0	0	22	22	0	4	2	2	0	0	0	0	0	13	10	3	3	1	2	0	0	0	0	0	9	12	-3	6	22	40	62	0	0	9	7	5	1	236	72	80	79	5	222	65	71	146	25	3	12.00%	27	5	81.48%	0	132	250	52.80%	132	272	48.53%	65	112	58.04%	171	116	161	53	92	45