Flyers


	Americans 53-17-4, 110pts	7	FINAL	1	Phantoms 29-39-8, 66pts

Team Stats
W3		L2
31-3-2		17-17-5
22-14-2		12-22-3
6-2-2		4-5-1
5.50		4.78
3.89		5.32
36.54%		28.30%
71.05%		65.96%

Admirals
32-43-1, 65pts

FINAL

Phantoms
29-39-8, 66pts

Team Stats
W4		L2
18-18-1		17-17-5
14-25-0		12-22-3
8-1-1		4-5-1
4.45		4.78
5.43		5.32
29.87%		28.30%
55.74%		65.96%

Phantoms
29-39-8, 66pts

2025-04-05

Rocket
46-24-5, 97pts


L2		W3
17-17-5		28-7-2
12-22-3		18-17-3
4-5-1		7-3-0
4.78		5.45
5.32		5.45
28.30%		30.77%
65.96%		73.33%

Phantoms
29-39-8, 66pts

2025-04-09

Wolf Pack
48-24-3, 99pts


L2		W4
17-17-5		26-10-2
12-22-3		22-14-1
4-5-1		8-2-0
4.78		4.71
5.32		4.71
28.30%		33.82%
65.96%		78.95%

Islanders
49-22-3, 101pts

2025-04-12

Phantoms
29-39-8, 66pts


W1		L2
28-7-2		17-17-5
21-15-1		12-22-3
8-2-0		4-5-1
4.97		4.78
3.82		4.78
31.25%		28.30%
66.13%		65.96%


	Dylan Holloway 57			Brendan Brisson 84

	Dylan Holloway 119			Jesse Ylonen 20

	Collin Delia 28			Collin Delia 0.841


363 4.78 GFG	2157 28.38 Avg	28.3% 15 GF	29.7%
404 5.32 GAA	2497 32.86 Avg	66.0%% 32 GA	34.0%


		Mike Giletto
		Atlantic Division
		Eastern Conference




		5,000
		5,000
		5,000

		29
		17
		46 / 55
		28

Priority		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

#		#	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	Brendan Brisson (R)	0	X				100.00	61	51	97	81	84	54	55	85	46	79	72	44	79	85	79	0	50	79	0	22	1	925,000$
2	Emil Bemstrom (R)	0			X		100.00	59	52	97	79	83	50	67	85	41	75	73	58	79	85	79	0	50	79	0	25	2	962,000$
3	Dylan Holloway (R)	0		X			100.00	72	53	93	80	84	47	55	84	43	72	72	47	78	84	78	0	50	78	0	22	1	925,000$
4	James Malatesta (R)	0		X			100.00	85	52	94	81	82	44	55	83	40	74	72	38	78	83	78	0	50	78	0	21	3	841,666$
5	Adam Erne	0		X			100.00	79	52	95	78	81	42	55	83	41	72	70	44	76	83	76	0	50	77	0	29	2	2,283,750$
6	Matt Rempe (R)	0	X				100.00	98	66	73	80	81	24	55	82	46	72	70	42	76	82	76	0	50	77	0	22	1	820,000$
7	Jesse Ylonen (R)	0			X		100.00	59	51	97	78	81	49	71	84	40	73	71	56	77	84	77	0	50	77	0	24	3	806,000$
8	Brett Murray (R)	0		X			100.00	46	66	83	72	76	83	97	77	36	58	67	40	72	25	40	0	50	72	0	25	2	962,000$
9	Mackie Samoskevich (R)	0	X	X	X		100.00	45	61	83	73	76	73	84	78	36	61	68	40	73	25	40	0	50	72	0	21	3	925,000$
10	Max Comtois	0		X			100.00	49	63	77	73	76	76	88	78	36	60	67	40	73	25	40	0	50	72	0	25	3	1,935,625$
11	Elliot Desnoyers (R)	0		X			100.00	45	63	84	72	76	76	88	77	36	58	67	40	72	25	40	0	50	71	0	22	1	825,000$
12	Nikolai Knyzhov (R)	0				X	100.00	61	53	92	77	80	63	55	85	40	71	70	54	78	85	78	0	50	81	0	26	2	750,000$
13	Simon Edvinsson (R)	0				X	100.00	62	53	92	79	81	66	55	86	40	71	71	51	79	86	79	0	50	81	0	21	1	925,000$
14	Derrick Pouliot	0				X	100.00	48	49	78	74	76	58	50	79	36	65	67	54	73	25	40	0	50	75	0	30	1	798,000$
15	Xavier Ouellet	0				X	100.00	47	45	81	73	76	58	45	78	36	63	66	59	72	25	40	0	50	75	0	30	2	848,125$
16	Casey Fitzgerald	0				X	100.00	47	65	81	71	75	81	94	76	36	58	66	52	71	25	40	0	50	74	0	27	1	787,500$
17	Jeremie Poirier (R)	0				X	100.00	45	65	83	71	76	81	94	76	36	58	66	43	71	25	40	0	50	73	0	22	1	821,667$
18	Carson Lambos (R)	0				X	100.00	47	65	81	71	75	81	94	76	36	57	66	40	71	25	40	0	50	72	0	21	3	863,334$
19	Yan Kuznetsov (R)	0				X	100.00	45	62	83	71	75	74	86	76	36	57	66	43	71	25	40	0	50	72	0	22	1	870,000$

1	Nic Petan	0	X	X	X		100.00	46	60	83	73	76	69	80	78	65	62	67	40	73	25	40	0	50	71	0	29	2	912,713$
2	Riley Sutter (R)	0	X				100.00	46	65	81	71	75	81	94	76	65	57	67	40	71	25	40	0	50	71	0	24	3	806,000$
3	Jordy Bellerive (R)	0	X				100.00	48	61	80	71	75	72	83	76	65	57	66	40	71	25	40	0	50	70	0	25	2	962,000$
4	Damien Giroux (R)	0	X				100.00	45	64	84	71	75	79	91	76	65	57	66	40	71	25	40	0	50	70	0	24	3	750,000$
5	Maxim Cajkovic (R)	0			X		100.00	45	35	83	72	79	58	45	77	36	59	67	40	72	25	40	0	50	69	0	23	3	850,833$
6	Zayde Wisdom (R)	0	X				100.00	45	53	83	70	75	58	61	75	65	56	66	40	71	25	40	0	50	68	0	21	1	797,500$
7	Daniil Chayka (R)	0				X	100.00	45	59	83	71	75	67	77	75	36	56	66	40	71	25	40	0	50	70	0	21	1	847,500$

							100.00	55	57	85	74	78	64	72	79	44	64	68	45	74	45	53	0	50	74

Priority		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

#		#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Collin Delia	0	100.00	72	62	65	71	72	67	73	60	68	71	68	32	58	0	50	78	0	30	2	750,000$
2	Brett Brochu	0	100.00	71	55	53	67	51	53	63	76	62	82	63	25	55	0	50	71	0	21	1	750,000$
3	Jesper Vikman (R)	0	100.00	63	55	55	66	66	59	66	54	61	73	62	25	55	0	50	70	0	22	3	858,000$


			100.00	69	57	58	68	63	60	67	63	64	75	64	27	56	0	50	73

	PH	DF	OF	PD	EX	LD	PO	CNT

Priority		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

#		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	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Dylan Holloway	Phantoms (PHI)	LW	76	57	62	119	-14	2	0	182	101	264	93	185	21.59%	34	1623	21.36	5	1	6	16	48	1	0	1	1	21	7	0	51.05%	237	178	43	0	4	1.47	0	1	0	0	0	9	6	6
2	Brendan Brisson	Phantoms (PHI)	C	76	30	84	114	-16	0	0	117	85	233	65	148	12.88%	25	1596	21.01	2	7	9	9	48	0	1	1	4	47	1	1	50.00%	1108	180	21	0	0	1.43	2	4	0	0	0	3	3	1
3	Jesse Ylonen	Phantoms (PHI)	RW	76	56	50	106	20	4	0	109	137	247	75	180	22.67%	82	1489	19.60	2	1	3	11	41	0	1	1	2	93	2	3	46.33%	218	137	57	0	3	1.42	2	6	0	0	0	4	6	3
4	James Malatesta	Phantoms (PHI)	LW	76	34	47	81	-23	4	0	135	50	181	61	122	18.78%	20	1426	18.77	1	3	4	12	42	0	0	0	0	0	2	2	44.70%	839	146	13	0	1	1.14	0	1	0	0	0	4	1	3
5	Matt Rempe	Phantoms (PHI)	C	76	20	46	66	-22	169	85	229	53	133	60	101	15.04%	23	1359	17.89	1	1	2	5	37	0	0	0	0	0	1	1	42.48%	113	84	36	0	0	0.97	0	0	8	3	6	2	0	2
6	Adam Erne	Phantoms (PHI)	LW	76	28	33	61	-21	2	0	114	90	173	51	90	16.18%	34	1459	19.20	0	2	2	4	41	0	0	0	1	23	1	0	54.00%	50	106	31	0	0	0.84	0	0	0	0	0	3	1	1
7	Nikolai Knyzhov	Phantoms (PHI)	D	73	28	33	61	9	7	5	86	149	140	43	60	20.00%	121	1562	21.41	1	1	2	1	4	1	0	1	4	93	3	2	0%	0	51	79	1	0	0.78	0	0	0	1	0	1	3	4
8	Mackie Samoskevich	Phantoms (PHI)	C/LW/RW	76	14	34	48	16	8	0	59	50	136	42	81	10.29%	22	1323	17.42	0	0	0	0	3	0	0	0	0	3	2	0	34.82%	718	89	8	0	0	0.73	0	0	0	0	0	1	1	0
9	Xavier Ouellet	Phantoms (PHI)	D	65	10	38	48	-19	28	0	51	162	107	45	51	9.35%	108	1544	23.77	1	3	4	6	49	0	0	0	1	29	0	1	0%	0	9	79	0	0	0.62	0	0	0	0	0	0	2	0
10	Derrick Pouliot	Phantoms (PHI)	D	76	15	30	45	-4	24	0	49	156	93	31	38	16.13%	110	1535	20.21	1	3	4	11	54	0	1	1	3	49	2	0	0%	0	21	76	0	0	0.59	0	0	0	0	0	0	2	1
11	Max Comtois	Phantoms (PHI)	LW	76	13	28	41	19	11	5	98	45	114	31	74	11.40%	9	1256	16.53	0	0	0	0	0	0	0	0	0	0	1	0	33.33%	39	48	14	0	1	0.65	0	0	0	0	1	0	1	4
12	Simon Edvinsson	Phantoms (PHI)	D	73	9	26	35	-8	2	0	37	58	61	36	29	14.75%	46	745	10.21	0	3	3	5	15	0	0	0	1	28	0	1	0%	0	37	33	0	1	0.94	1	1	0	0	0	2	0	2
13	Nic Petan	Phantoms (PHI)	C/LW/RW	67	8	22	30	-21	63	35	56	48	56	16	35	14.29%	23	1310	19.56	0	0	0	0	0	0	0	0	0	0	2	0	43.66%	71	17	27	0	0	0.46	0	0	2	2	3	0	0	2
14	Brett Murray	Phantoms (PHI)	LW	76	11	14	25	-23	94	80	52	58	61	26	23	18.03%	73	1690	22.24	1	2	3	2	37	0	0	0	2	97	1	0	28.57%	21	16	53	0	0	0.30	4	6	5	4	7	1	0	1
15	Casey Fitzgerald	Phantoms (PHI)	D	76	9	14	23	1	49	25	26	124	58	38	19	15.52%	88	1334	17.56	0	0	0	0	21	0	0	0	0	73	0	1	75.00%	4	7	84	0	0	0.34	1	1	2	1	2	0	0	1
16	Kevin Bahl	Flyers	D	31	7	10	17	12	0	0	15	17	25	15	3	28.00%	21	191	6.17	0	0	0	0	0	0	0	0	0	6	1	0	0%	0	3	17	0	1	1.78	0	0	0	0	0	2	0	0
17	Jeremie Poirier	Phantoms (PHI)	D	76	2	13	15	-26	15	5	15	70	29	20	15	6.90%	63	950	12.51	0	0	0	0	0	0	0	0	0	3	0	0	0%	1	7	42	0	0	0.32	0	0	0	0	1	0	0	0
18	Emil Bemstrom	Phantoms (PHI)	RW	9	9	5	14	0	0	0	3	17	37	11	8	24.32%	9	179	19.95	0	2	2	0	8	0	0	0	0	0	0	1	20.00%	20	14	4	0	0	1.56	0	0	0	0	0	1	2	0
19	Elliot Desnoyers	Phantoms (PHI)	LW	76	0	1	1	0	0	0	2	5	7	1	2	0%	1	144	1.90	0	0	0	0	0	0	0	0	0	2	0	0	10.00%	10	1	0	0	0	0.14	0	0	0	0	0	0	0	0
20	Carson Lambos	Phantoms (PHI)	D	54	0	0	0	1	2	0	1	1	2	0	2	0%	0	65	1.21	0	0	0	0	1	0	0	0	0	3	0	0	50.00%	2	2	0	0	0	0	0	0	0	0	0	0	0	0
21	Yan Kuznetsov	Phantoms (PHI)	D	8	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
				1368	360	590	950	-119	484	240	1436	1476	2157	760	1266	16.69%	912	22789	16.66	15	29	44	82	458	2	3	5	19	577	26	13	44.48%	3451	1153	717	1	11	0.83	10	20	17	11	20	33	28	31

Priority		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

#		GP	W	L	OTL	PCT	GAA	MP	PIM	SO	SA	SAR	A	EG	PSA	ST	BG	S1	S2
1	Collin Delia	Phantoms (PHI)	73	28	36	8	0.841	5.13	4388	2	375	2362	1344	3	0.526	19	73	0	1	3
2	Brett Brochu	Phantoms (PHI)	3	1	2	0	0.866	5.36	179	0	16	119	82	0	0	0	3	0	0	0
3	Jesper Vikman	Phantoms (PHI)	2	0	1	0	0.375	20.00	30	0	10	16	5	0	0	0	0	76	0	0
			78	29	39	8	0.839	5.23	4598	2	401	2497	1431	3		19	76	76	1	3

Priority		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	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Adam Erne (1 Way Contract)	Phantoms (PHI)	LW	29	1995-04-20	USA	No	212 Lbs	6 ft1	No	No	N/A		No	Yes	2		False	False	Pro & Farm	2,283,750$	163,125$	82,768$	1,158,750$	No	2,283,750$	Unrestricted		-	-	-	-	2,283,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Brendan Brisson	Phantoms (PHI)	C	22	2001-10-22	USA	Yes	191 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	66,071$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Brett Brochu	Phantoms (PHI)	G	21	2002-09-09	CAN	No	176 Lbs	6 ft0	No	No	Free Agent		No	No	1	2025-03-27	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Brett Murray	Phantoms (PHI)	LW	25	1998-07-20	CAN	Yes	228 Lbs	6 ft5	No	No	N/A		No	No	2		False	False	Pro & Farm	962,000$	68,714$	0$	0$	No	962,000$	Restricted		-	-	-	-	962,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Carson Lambos	Phantoms (PHI)	D	21	2003-01-14	CAN	Yes	193 Lbs	6 ft1	No	No	Prospect		No	No	3	2024-07-02	False	False	Pro & Farm	863,334$	61,667$	0$	0$	No	863,334$	863,334$	Restricted	-	-	-	-	863,334$	863,334$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Casey Fitzgerald	Phantoms (PHI)	D	27	1997-02-25	USA	No	188 Lbs	5 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	787,500$	56,250$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Collin Delia	Phantoms (PHI)	G	30	1994-06-20	USA	No	208 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	750,000$	Unrestricted		-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Damien Giroux	Phantoms (PHI)	C	24	2000-03-03	CAN	Yes	179 Lbs	5 ft10	No	No	Free Agent		No	No	3	2024-08-09	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	750,000$	750,000$	Restricted	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Daniil Chayka	Phantoms (PHI)	D	21	2002-10-22	RUS	Yes	200 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	847,500$	60,536$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Derrick Pouliot	Phantoms (PHI)	D	30	1994-01-16	CAN	No	196 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	798,000$	57,000$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Dylan Holloway	Phantoms (PHI)	LW	22	2001-09-23	CAN	Yes	203 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	66,071$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Elliot Desnoyers	Phantoms (PHI)	LW	22	2002-01-21	CAN	Yes	183 Lbs	5 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	825,000$	58,929$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Emil Bemstrom	Phantoms (PHI)	RW	25	1999-06-01	SWE	Yes	195 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	962,000$	68,714$	0$	0$	No	962,000$	Restricted		-	-	-	-	962,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
James Malatesta	Phantoms (PHI)	LW	21	2003-05-31	CAN	Yes	191 Lbs	5 ft9	No	No	Prospect		No	No	3	2024-07-02	False	False	Pro & Farm	841,666$	60,119$	0$	0$	No	841,666$	841,666$	Restricted	-	-	-	-	841,666$	841,666$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jeremie Poirier	Phantoms (PHI)	D	22	2002-06-02	CAN	Yes	185 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	821,667$	58,690$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jesper Vikman	Phantoms (PHI)	G	22	2002-03-11	SWE	Yes	205 Lbs	6 ft4	No	No	Prospect		No	No	3	2024-07-02	False	False	Pro & Farm	858,000$	61,286$	0$	0$	No	858,000$	858,000$	Restricted	-	-	-	-	858,000$	858,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jesse Ylonen	Phantoms (PHI)	RW	24	1999-10-03	FIN	Yes	188 Lbs	6 ft1	No	No	Free Agent		No	No	3	2024-08-09	False	False	Pro & Farm	806,000$	57,571$	0$	0$	No	806,000$	806,000$	Restricted	-	-	-	-	806,000$	806,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jordy Bellerive	Phantoms (PHI)	C	25	1999-05-02	CAN	Yes	194 Lbs	5 ft11	No	No	N/A		No	No	2		False	False	Pro & Farm	962,000$	68,714$	0$	0$	No	962,000$	Restricted		-	-	-	-	962,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Mackie Samoskevich	Phantoms (PHI)	C/LW/RW	21	2002-11-15	USA	Yes	183 Lbs	5 ft11	No	No	Prospect		No	No	3	2024-07-02	False	False	Pro & Farm	925,000$	66,071$	0$	0$	No	925,000$	925,000$	Restricted	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Matt Rempe	Phantoms (PHI)	C	22	2002-06-29	CAN	Yes	241 Lbs	6 ft7	No	No	N/A		No	No	1		False	False	Pro & Farm	820,000$	58,571$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Max Comtois (1 Way Contract)	Phantoms (PHI)	LW	25	1999-01-08	CAN	No	210 Lbs	6 ft2	No	No	N/A		No	Yes	3		False	False	Pro & Farm	1,935,625$	138,259$	57,902$	810,625$	No	1,935,625$	1,935,625$	Restricted	-	-	-	-	1,935,625$	1,935,625$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Maxim Cajkovic	Phantoms (PHI)	RW	23	2001-01-03	SLO	Yes	204 Lbs	5 ft11	No	No	Prospect		No	No	3	2024-07-02	False	False	Pro & Farm	850,833$	60,774$	0$	0$	No	850,833$	850,833$	Restricted	-	-	-	-	850,833$	850,833$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Nic Petan	Phantoms (PHI)	C/LW/RW	29	1995-03-22	CAN	No	175 Lbs	5 ft9	No	No	N/A		No	No	2		False	False	Pro & Farm	912,713$	65,194$	0$	0$	No	912,713$	Unrestricted		-	-	-	-	912,713$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Nikolai Knyzhov	Phantoms (PHI)	D	26	1998-03-20	RUS	Yes	222 Lbs	6 ft3	No	No	Free Agent		No	No	2	2024-08-09	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	750,000$	Unrestricted		-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Riley Sutter	Phantoms (PHI)	C	24	1999-10-25	CAN	Yes	204 Lbs	6 ft4	No	No	Free Agent		No	No	3	2024-08-09	False	False	Pro & Farm	806,000$	57,571$	0$	0$	No	806,000$	806,000$	Restricted	-	-	-	-	806,000$	806,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Simon Edvinsson	Phantoms (PHI)	D	21	2003-02-05	SWE	Yes	209 Lbs	6 ft6	No	No	Trade	2024-01-16	No	No	1		False	False	Pro & Farm	925,000$	66,071$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Xavier Ouellet	Phantoms (PHI)	D	30	1993-07-29	FRA	No	197 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	848,125$	60,580$	0$	0$	No	848,125$	Unrestricted		-	-	-	-	848,125$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Yan Kuznetsov	Phantoms (PHI)	D	22	2002-03-09	RUS	Yes	209 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	870,000$	62,143$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Zayde Wisdom	Phantoms (PHI)	C	21	2002-07-07	CAN	Yes	201 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	797,500$	56,964$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link


29	24.03	199 Lbs	6 ft1	1.90	936,525$



1	Dylan Holloway	Brendan Brisson	Emil Bemstrom	40	1	2	2
2	Adam Erne	James Malatesta	Matt Rempe	30	1	2	2
3	Max Comtois	Mackie Samoskevich	Jesse Ylonen	20	1	2	2
4	Brett Murray	Dylan Holloway	Jesse Ylonen	10	1	2	2



1	Simon Edvinsson	Xavier Ouellet	40	1	2	2
2	Brett Murray	Jeremie Poirier	30	1	2	2
3	Derrick Pouliot	Casey Fitzgerald	20	1	2	2
4	Xavier Ouellet	Derrick Pouliot	10	1	2	2



1	Dylan Holloway	Matt Rempe	Brendan Brisson	60	1	2	2
2	James Malatesta	Jesse Ylonen	Adam Erne	40	1	2	2



1	Derrick Pouliot	Jeremie Poirier	60	1	2	2
2	Brett Murray	Casey Fitzgerald	40	1	2	2



1	Jesse Ylonen	Brett Murray	60	1	2	2
2	Brendan Brisson	Dylan Holloway	40	1	2	2



1	Simon Edvinsson	Casey Fitzgerald	60	1	2	2
2	Derrick Pouliot	Jeremie Poirier	40	1	2	2



1	Jesse Ylonen	60	1	2	2	Jeremie Poirier	Casey Fitzgerald	60	1	2	2
2	Brett Murray	40	1	2	2	Xavier Ouellet	Derrick Pouliot	40	1	2	2



1	James Malatesta	Dylan Holloway	60	1	2	2
2	Brendan Brisson	Brett Murray	40	1	2	2



1	Casey Fitzgerald	Simon Edvinsson	60	1	2	2
2	Jeremie Poirier	Derrick Pouliot	40	1	2	2



Dylan Holloway	Brendan Brisson	James Malatesta	Derrick Pouliot	Simon Edvinsson



Dylan Holloway	Brendan Brisson	James Malatesta	Derrick Pouliot	Simon Edvinsson



Jesse Ylonen, Brett Murray, Brendan Brisson	Brett Murray, Dylan Holloway	Brett Murray



Derrick Pouliot, Jeremie Poirier, Casey Fitzgerald	Derrick Pouliot	Derrick Pouliot, Casey Fitzgerald


Brett Murray, Jesse Ylonen, Brendan Brisson, James Malatesta, Dylan Holloway


#1 : Brett Brochu, #2 : Jesper Vikman


Dylan Holloway, Brendan Brisson, Emil Bemstrom, James Malatesta, Matt Rempe, Mackie Samoskevich, Mackie Samoskevich, Max Comtois, Jesse Ylonen, Brett Murray, Adam Erne


Casey Fitzgerald, Xavier Ouellet, Jeremie Poirier, Derrick Pouliot, Simon Edvinsson

Show or Hide Columns

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

	Overall												Home											Visitor
#	VS Team	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	PCT	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
1	Admirals	2	0	2	0	0	0	0	0	8	13	-5	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	4	8	-4	0	0.000	8	14	22	0	0	137	113	107	12	60	665	728	751	32	78	15	11	44	1	0	0.00%	3	2	33.33%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
2	Americans	2	0	2	0	0	0	0	0	6	13	-7	2	0	2	0	0	0	0	0	6	13	-7	0	0	0	0	0	0	0	0	0	0	0	0	0.000	6	8	14	0	0	137	113	107	12	58	665	728	751	32	76	24	7	36	1	0	0.00%	1	1	0.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
3	Barracuda	2	2	0	0	0	0	0	0	12	8	4	1	1	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	5	3	2	4	1.000	12	19	31	0	0	137	113	107	12	61	665	728	751	32	58	22	7	34	0	0	0%	1	1	0.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
4	Bears	4	2	1	0	0	0	1	0	24	20	4	2	2	0	0	0	0	0	0	13	8	5	2	0	1	0	0	0	1	0	11	12	-1	6	0.750	24	37	61	0	0	137	113	107	12	123	665	728	751	32	139	55	21	65	6	2	33.33%	3	1	66.67%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
5	Bruins	3	3	0	0	0	0	0	0	18	14	4	1	1	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	13	11	2	6	1.000	18	30	48	0	0	137	113	107	12	79	665	728	751	32	91	42	16	65	1	0	0.00%	3	0	100.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
6	Canucks	2	0	1	0	0	0	0	1	10	13	-3	1	0	1	0	0	0	0	0	5	7	-2	1	0	0	0	0	0	0	1	5	6	-1	1	0.250	10	14	24	0	0	137	113	107	12	51	665	728	751	32	71	26	6	35	3	1	33.33%	3	1	66.67%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
7	Checkers	3	0	3	0	0	0	0	0	9	15	-6	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	9	13	22	0	0	137	113	107	12	82	665	728	751	32	84	19	8	52	2	0	0.00%	4	2	50.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
8	Comets	4	2	2	0	0	0	0	0	18	20	-2	2	1	1	0	0	0	0	0	11	13	-2	2	1	1	0	0	0	0	0	7	7	0	4	0.500	18	30	48	0	0	137	113	107	12	103	665	728	751	32	139	69	2	63	3	0	0.00%	1	0	100.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
9	Condors	2	0	2	0	0	0	0	0	9	12	-3	1	0	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	9	16	25	0	0	137	113	107	12	53	665	728	751	32	64	20	13	40	0	0	0%	4	1	75.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
10	Crunch	3	2	0	0	0	0	1	0	19	11	8	1	1	0	0	0	0	0	0	7	2	5	2	1	0	0	0	0	1	0	12	9	3	6	1.000	19	33	52	0	0	137	113	107	12	74	665	728	751	32	107	40	17	51	2	0	0.00%	1	0	100.00%	1	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
11	Eagles	2	0	1	0	0	0	0	1	10	19	-9	1	0	0	0	0	0	0	1	7	8	-1	1	0	1	0	0	0	0	0	3	11	-8	1	0.250	10	19	29	0	0	137	113	107	12	63	665	728	751	32	62	25	9	35	0	0	0%	2	1	50.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
12	Firebirds	2	1	0	0	0	1	0	0	11	9	2	1	0	0	0	0	1	0	0	6	7	-1	1	1	0	0	0	0	0	0	5	2	3	3	0.750	11	18	29	0	0	137	113	107	12	56	665	728	751	32	68	23	6	36	2	2	100.00%	3	0	100.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
13	Griffins	3	1	2	0	0	0	0	0	15	22	-7	2	1	1	0	0	0	0	0	14	17	-3	1	0	1	0	0	0	0	0	1	5	-4	2	0.333	15	24	39	0	0	137	113	107	12	95	665	728	751	32	90	36	42	62	2	1	50.00%	6	1	83.33%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
14	Gulls	2	0	2	0	0	0	0	0	6	12	-6	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	6	11	17	0	0	137	113	107	12	64	665	728	751	32	72	29	41	51	2	0	0.00%	3	2	33.33%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
15	IceHogs	2	1	1	0	0	0	0	0	8	8	0	1	1	0	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	8	14	22	0	0	137	113	107	12	63	665	728	751	32	61	27	6	36	1	1	100.00%	3	1	66.67%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
16	Islanders	3	0	3	0	0	0	0	0	7	20	-13	1	0	1	0	0	0	0	0	3	5	-2	2	0	2	0	0	0	0	0	4	15	-11	0	0.000	7	13	20	0	0	137	113	107	12	60	665	728	751	32	105	51	31	52	4	2	50.00%	8	5	37.50%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
17	Marlies	3	0	1	0	1	1	0	0	12	14	-2	1	0	0	0	1	0	0	0	4	3	1	2	0	1	0	0	1	0	0	8	11	-3	3	0.500	12	19	31	0	0	137	113	107	12	79	665	728	751	32	91	29	15	71	1	0	0.00%	5	1	80.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
18	Monsters	3	0	1	0	1	0	1	0	14	17	-3	1	0	0	0	0	0	1	0	6	5	1	2	0	1	0	1	0	0	0	8	12	-4	4	0.667	14	21	35	0	0	137	113	107	12	76	665	728	751	32	117	33	6	41	1	0	0.00%	4	0	100.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
19	Moose	2	0	2	0	0	0	0	0	7	11	-4	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	7	11	18	0	0	137	113	107	12	61	665	728	751	32	63	15	8	33	0	0	0%	4	2	50.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
20	Penguins	4	1	2	0	0	0	0	1	12	21	-9	2	0	1	0	0	0	0	1	7	15	-8	2	1	1	0	0	0	0	0	5	6	-1	3	0.375	12	17	29	0	0	137	113	107	12	113	665	728	751	32	142	50	76	79	1	0	0.00%	3	0	100.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
21	Reign	2	0	2	0	0	0	0	0	9	11	-2	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	5	6	-1	0	0.000	9	16	25	0	0	137	113	107	12	50	665	728	751	32	59	19	7	36	2	0	0.00%	1	1	0.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
22	Roadrunners	2	1	1	0	0	0	0	0	10	9	1	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	5	7	-2	2	0.500	10	15	25	0	0	137	113	107	12	49	665	728	751	32	76	24	24	33	0	0	0%	2	1	50.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
23	Rocket	2	2	0	0	0	0	0	0	13	9	4	2	2	0	0	0	0	0	0	13	9	4	0	0	0	0	0	0	0	0	0	0	0	4	1.000	13	22	35	0	0	137	113	107	12	65	665	728	751	32	73	34	7	31	1	1	100.00%	1	1	0.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
24	Senators	2	0	0	0	0	2	0	0	10	12	-2	1	0	0	0	0	1	0	0	6	7	-1	1	0	0	0	0	1	0	0	4	5	-1	2	0.500	10	16	26	0	0	137	113	107	12	50	665	728	751	32	62	25	8	41	1	0	0.00%	4	0	100.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
25	Silver Knights	2	0	1	0	0	1	0	0	8	10	-2	1	0	0	0	0	1	0	0	5	6	-1	1	0	1	0	0	0	0	0	3	4	-1	1	0.250	8	12	20	0	0	137	113	107	12	58	665	728	751	32	62	17	7	45	1	1	100.00%	1	0	100.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
26	Stars	2	1	1	0	0	0	0	0	24	10	14	1	1	0	0	0	0	0	0	18	3	15	1	0	1	0	0	0	0	0	6	7	-1	2	0.500	24	41	65	0	0	137	113	107	12	65	665	728	751	32	66	21	37	52	0	0	0%	6	3	50.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
27	Thunderbirds	2	1	1	0	0	0	0	0	11	8	3	1	1	0	0	0	0	0	0	7	2	5	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	11	15	26	0	0	137	113	107	12	65	665	728	751	32	61	19	14	44	5	0	0.00%	2	1	50.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
28	Wild	2	0	2	0	0	0	0	0	5	11	-6	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	5	6	11	0	0	137	113	107	12	57	665	728	751	32	56	18	14	42	1	0	0.00%	2	0	100.00%	1	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
29	Wolf Pack	2	0	2	0	0	0	0	0	7	12	-5	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	3	7	-4	0	0.000	7	13	20	0	0	137	113	107	12	61	665	728	751	32	67	21	6	38	2	0	0.00%	3	2	33.33%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
30	Wolves	3	1	1	0	1	0	0	0	17	13	4	2	1	1	0	0	0	0	0	12	9	3	1	0	0	0	1	0	0	0	5	4	1	4	0.667	17	27	44	0	0	137	113	107	12	98	665	728	751	32	78	43	6	53	5	2	40.00%	3	0	100.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
31	Wranglers	2	2	0	0	0	0	0	0	14	7	7	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	7	3	4	4	1.000	14	26	40	0	0	137	113	107	12	65	665	728	751	32	59	21	8	40	2	2	100.00%	4	1	75.00%	0	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
	Total	76	23	39	0	3	5	3	3	363	404	-41	39	15	17	0	1	3	1	2	212	206	6	37	8	22	0	2	2	2	1	151	198	-47	66	0.434	363	590	953	0	0	137	113	107	12	2157	665	728	751	32	2497	912	486	1436	53	15	28.30%	94	32	65.96%	2	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
	_Since Last GM Reset	76	23	39	0	3	5	3	3	363	404	-41	39	15	17	0	1	3	1	2	212	206	6	37	8	22	0	2	2	2	1	151	198	-47	66	0.434	363	590	953	0	0	137	113	107	12	2157	665	728	751	32	2497	912	486	1436	53	15	28.30%	94	32	65.96%	2	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
	_Vs Conference	44	14	20	0	3	3	3	1	201	233	-32	23	9	10	0	1	1	1	1	116	124	-8	21	5	10	0	2	2	2	0	85	109	-24	44	0.500	201	323	524	0	0	137	113	107	12	1216	665	728	751	32	1461	571	268	800	33	8	24.24%	50	14	72.00%	1	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641
	_Vs Division	21	5	8	0	1	3	1	0	102	110	-8	12	4	5	0	1	1	0	0	60	64	-4	9	1	3	0	0	2	1	0	42	46	-4	17	0.405	102	165	267	0	0	137	113	107	12	582	665	728	751	32	674	249	120	409	11	2	18.18%	25	6	76.00%	1	453	1013	44.72%	501	1160	43.19%	581	1243	46.74%	1634	1031	1688	598	1281	641

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
76	66	L2	363	590	953	2157	2497	912	486	1436	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
76	23	39	3	5	3	3	363	404

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	15	17	1	3	1	2	212	206

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
37	8	22	2	2	2	1	151	198

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	5	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
53	15	28.30%	94	32	65.96%	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
665	728	751	32	137	113	107	12

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
453	1013	44.72%	501	1160	43.19%	581	1243	46.74%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1634	1031	1688	598	1281	641

Show or Hide Columns

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	Score	Home	Score	ST	OT	SO	Link
8 - 2024-10-11	22	Phantoms	5	Canucks	6	L	X	X	BoxScore
9 - 2024-10-12	35	Phantoms	7	Wranglers	3	W			BoxScore
12 - 2024-10-15	56	Phantoms	4	Condors	6	L			BoxScore
14 - 2024-10-17	71	Phantoms	5	Firebirds	2	W			BoxScore
16 - 2024-10-19	82	Canucks	7	Phantoms	5	L			BoxScore
19 - 2024-10-22	92	Bears	4	Phantoms	7	W			BoxScore
20 - 2024-10-23	108	Phantoms	5	Bears	4	W	X	X	BoxScore
23 - 2024-10-26	123	Wild	5	Phantoms	3	L			BoxScore
24 - 2024-10-27	138	Rocket	5	Phantoms	7	W			BoxScore
26 - 2024-10-29	148	Phantoms	7	Bruins	6	W			BoxScore
28 - 2024-10-31	162	Thunderbirds	2	Phantoms	7	W			BoxScore
30 - 2024-11-02	175	Bruins	3	Phantoms	5	W			BoxScore
33 - 2024-11-05	197	Phantoms	5	Wolves	4	W	X		BoxScore
35 - 2024-11-07	210	Phantoms	6	Crunch	5	W	X	X	BoxScore
37 - 2024-11-09	225	Phantoms	4	Checkers	5	L			BoxScore
39 - 2024-11-11	240	Barracuda	5	Phantoms	7	W			BoxScore
42 - 2024-11-14	258	Phantoms	4	Senators	5	L	X		BoxScore
44 - 2024-11-16	278	Americans	6	Phantoms	5	L			BoxScore
46 - 2024-11-18	289	Eagles	8	Phantoms	7	L	X	X	BoxScore
48 - 2024-11-20	302	Wolves	7	Phantoms	6	L			BoxScore
51 - 2024-11-23	318	IceHogs	5	Phantoms	6	W			BoxScore
53 - 2024-11-25	338	Silver Knights	6	Phantoms	5	L	X		BoxScore
55 - 2024-11-27	356	Phantoms	4	Admirals	8	L			BoxScore
57 - 2024-11-29	362	Wolf Pack	5	Phantoms	4	L			BoxScore
58 - 2024-11-30	381	Phantoms	4	Thunderbirds	6	L			BoxScore
63 - 2024-12-05	414	Checkers	5	Phantoms	3	L			BoxScore
65 - 2024-12-07	425	Phantoms	6	Bruins	5	W			BoxScore
66 - 2024-12-08	441	Roadrunners	2	Phantoms	5	W			BoxScore
68 - 2024-12-10	449	Phantoms	2	Monsters	7	L			BoxScore
70 - 2024-12-12	462	Griffins	6	Phantoms	7	W			BoxScore
72 - 2024-12-14	476	Phantoms	2	Wild	6	L			BoxScore
76 - 2024-12-18	507	Phantoms	1	Griffins	5	L			BoxScore
77 - 2024-12-19	513	Reign	5	Phantoms	4	L			BoxScore
79 - 2024-12-21	535	Monsters	5	Phantoms	6	W	X	X	BoxScore
81 - 2024-12-23	550	Phantoms	1	Penguins	5	L			BoxScore
86 - 2024-12-28	568	Phantoms	3	Gulls	5	L			BoxScore
87 - 2024-12-29	585	Phantoms	5	Reign	6	L			BoxScore
89 - 2024-12-31	599	Phantoms	5	Barracuda	3	W			BoxScore
91 - 2025-01-02	612	Phantoms	3	Silver Knights	4	L			BoxScore
94 - 2025-01-05	635	Phantoms	1	Marlies	3	L			BoxScore
96 - 2025-01-07	644	Marlies	3	Phantoms	4	W	X		BoxScore
98 - 2025-01-09	657	Stars	3	Phantoms	18	W			BoxScore
100 - 2025-01-11	675	Gulls	7	Phantoms	3	L			BoxScore
102 - 2025-01-13	689	Checkers	5	Phantoms	2	L			BoxScore
103 - 2025-01-14	698	Phantoms	6	Monsters	5	W	X		BoxScore
105 - 2025-01-16	712	Phantoms	3	Islanders	7	L			BoxScore
107 - 2025-01-18	722	Phantoms	3	Comets	6	L			BoxScore
110 - 2025-01-21	751	Griffins	11	Phantoms	7	L			BoxScore
112 - 2025-01-23	763	Phantoms	3	Wolf Pack	7	L			BoxScore
113 - 2025-01-24	772	Phantoms	1	Islanders	8	L			BoxScore
116 - 2025-01-27	795	Comets	5	Phantoms	7	W			BoxScore
118 - 2025-01-29	809	Phantoms	4	Comets	1	W			BoxScore
119 - 2025-01-30	816	Islanders	5	Phantoms	3	L			BoxScore
122 - 2025-02-02	836	Phantoms	3	Eagles	11	L			BoxScore
124 - 2025-02-04	854	Phantoms	5	Roadrunners	7	L			BoxScore
126 - 2025-02-06	864	Bears	4	Phantoms	6	W			BoxScore
128 - 2025-02-08	881	Penguins	9	Phantoms	2	L			BoxScore
142 - 2025-02-22	892	Condors	6	Phantoms	5	L			BoxScore
145 - 2025-02-25	922	Penguins	6	Phantoms	5	L	X	X	BoxScore
147 - 2025-02-27	938	Phantoms	4	Penguins	1	W			BoxScore
149 - 2025-03-01	956	Phantoms	3	Moose	6	L			BoxScore
152 - 2025-03-04	977	Wranglers	4	Phantoms	7	W			BoxScore
154 - 2025-03-06	991	Moose	5	Phantoms	4	L			BoxScore
156 - 2025-03-08	1004	Firebirds	7	Phantoms	6	L	X		BoxScore
Trade Deadline
157 - 2025-03-09	1013	Comets	8	Phantoms	4	L			BoxScore
159 - 2025-03-11	1027	Senators	7	Phantoms	6	L	X		BoxScore
161 - 2025-03-13	1043	Crunch	2	Phantoms	7	W			BoxScore
163 - 2025-03-15	1061	Wolves	2	Phantoms	6	W			BoxScore
165 - 2025-03-17	1074	Phantoms	6	Crunch	4	W			BoxScore
168 - 2025-03-20	1092	Phantoms	6	Bears	8	L			BoxScore
170 - 2025-03-22	1105	Phantoms	6	Stars	7	L			BoxScore
171 - 2025-03-23	1118	Phantoms	2	IceHogs	3	L			BoxScore
173 - 2025-03-25	1130	Phantoms	7	Marlies	8	L	X		BoxScore
175 - 2025-03-27	1146	Rocket	4	Phantoms	6	W			BoxScore
177 - 2025-03-29	1159	Americans	7	Phantoms	1	L			BoxScore
179 - 2025-03-31	1179	Admirals	5	Phantoms	4	L			BoxScore
184 - 2025-04-05	1217	Phantoms	-	Rocket	-
188 - 2025-04-09	1246	Phantoms	-	Wolf Pack	-
191 - 2025-04-12	1265	Islanders	-	Phantoms	-
192 - 2025-04-13	1276	Phantoms	-	Senators	-
194 - 2025-04-15	1295	Monsters	-	Phantoms	-
196 - 2025-04-17	1307	Phantoms	-	Americans	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3500	1500
Ticket Price	50	25
Attendance	136,500	58,500
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
2	5000 - 100.00%	108,375$	4,226,625$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
20,357,879$	22,939,838$	22,939,838$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
117,040$	20,357,879$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
216,750$	14	117,040$	1,638,560$

Phantoms Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Phantoms Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Phantoms Career Team Stats

Show or Hide Columns

	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

Phantoms Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Phantoms Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Phantoms
	GP: 76 \| W: 29 \| L: 39 \| OTL: 8 \| P: 66 GF: 363 \| GA: 404 \| PP%: 28.30% \| PK%: 65.96% Mike Giletto \| 50 \| 74 #1217 vs Rocket