Philadelphie
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

Game Center
	Monsters 49-24-9, 107pts	3	FINAL	4	Phantoms 33-46-3, 69pts

Team Stats
W1	Streak	L1
24-13-4	Home Record	17-21-3
25-11-5	Away Record	16-25-0
4-2-4	Last 10 Games	5-5-0
3.50	Goals Per Game	3.01
3.15	Goals Against Per Game	4.01
19.75%	Power Play Percentage	14.29%
80.38%	Penalty Kill Percentage	77.35%

Phantoms
33-46-3, 69pts

FINAL

Baby Hawks
50-23-9, 109pts

Team Stats
L1	Streak	W1
17-21-3	Home Record	27-9-5
16-25-0	Away Record	23-14-4
5-5-0	Last 10 Games	7-3-0
3.01	Goals Per Game	3.61
4.01	Goals Against Per Game	2.88
14.29%	Power Play Percentage	22.11%
77.35%	Penalty Kill Percentage	86.05%

Team Leaders
	Goals Reese Johnson 28	Assists Alexander Nylander 37

	Points Alexander Nylander 59	Plus/Minus Roby Jarventie 10

	Wins Joey Daccord 15	Save Percentage Kyle Keyser 0.946

Team Stats
Goals For 247 3.01 GFG	Shots For 2989 36.45 Avg	Power Play Percentage 14.3% 34 GF	Offensive Zone Start 40.9%
Goals Against 329 4.01 GAA	Shots Against 3106 37.88 Avg	Penalty Kill Percentage 77.4%% 77 GA	Defensive Zone Start 39.5%

Team Info
	General Manager	Richard Duguay
	Division	Nord-Est
	Conference	Est
	Captain	Matt Bartkowski
	Assistant #1
	Assistant #2	Gavin Bayreuther
Arena Info
	Capacity	3,000
	Attendance	2,854
	Season Tickets	300
Roster Info
	Pro Team	22
	Farm Team	21
	Contract Limit	43 / 50
	Prospects	16

Show or Hide Column

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Reese Johnson			X		100.00	99	80	87	63	72	57	61	55	71	62	56	80	25	47	47	0	50	60	0	23	3	600,000$
2	Josiah Slavin		X			100.00	71	43	91	70	73	62	65	61	57	57	55	77	25	45	45	0	50	60	0	22	4	600,000$
3	Morgan Barron	X	X	X		100.00	83	46	90	72	83	56	67	57	61	58	56	65	75	46	46	0	50	60	0	22	2	925,000$
4	Alexander Nylander		X	X		100.00	78	71	94	73	71	56	55	62	50	56	63	66	60	44	44	0	50	59	0	23	1	1,000,000$
5	Jakob Pelletier (R)	X	X			100.00	72	65	89	63	65	57	55	66	80	63	66	64	63	44	44	0	50	59	0	20	4	863,333$
6	Sam Poulin (R)		X	X		100.00	79	78	80	67	78	57	57	59	50	56	58	65	55	44	44	0	50	58	0	20	4	863,333$
7	Jonah Gadjovich		X			100.00	89	99	54	74	80	52	60	55	34	55	55	60	25	48	48	0	50	57	0	22	1	783,333$
8	Trey Fix-Wolansky			X		100.00	65	63	70	68	63	61	61	62	50	58	63	59	60	44	44	0	50	57	0	22	3	809,166$
9	Roby Jarventie (R)		X			100.00	73	69	82	68	69	58	58	58	50	56	56	62	53	44	44	0	50	57	0	19	4	894,167$
10	Austin Poganski			X		100.00	79	87	86	65	77	54	62	60	25	50	55	65	25	46	46	0	50	56	0	25	2	750,000$
11	Logan Hutsko	X		X		100.00	69	62	85	63	62	57	57	58	73	59	53	60	50	44	44	0	50	56	0	22	3	867,000$
12	Ben Harpur				X	100.00	84	99	62	65	91	63	58	55	25	44	47	78	25	62	63	0	50	64	0	26	2	750,000$
13	Juuso Valimaki				X	100.00	73	44	70	75	78	69	72	58	25	56	47	77	25	50	50	0	50	64	0	22	1	925,000$
14	Gavin Bayreuther (A)				X	100.00	77	75	85	73	74	62	62	60	25	54	47	73	53	53	53	0	50	62	0	27	1	650,000$
15	Jarred Tinordi				X	100.00	80	91	54	68	91	56	59	47	25	36	40	66	38	56	57	0	50	59	0	29	2	800,000$
16	Matt Bartkowski (C)				X	100.00	78	74	87	63	74	61	65	49	25	37	41	67	39	64	65	0	50	59	0	33	1	655,000$
17	Mac Hollowell				X	100.00	65	61	73	67	61	55	56	55	25	52	43	57	41	44	44	0	50	54	0	23	3	799,766$
Scratches
1	Dillon Hamaliuk (R)		X			100.00	77	77	76	64	77	48	48	49	50	47	46	62	44	44	44	0	50	52	0	20	4	789,167$
2	Mason Millman (R)				X	100.00	71	66	81	67	66	40	40	44	25	34	39	58	37	44	44	0	50	51	0	20	1	700,123$

	TEAM AVERAGE					100.00	77	71	79	68	74	57	59	56	43	52	52	66	43	48	48	0	50	58

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Hunter Jones (R)	100.00	46	49	61	81	45	46	45	50	45	45	45	44	44	0	50	50	0	21	2	825,833$
2	Arvid Holm (R)	100.00	44	40	50	86	43	44	51	52	48	49	30	44	44	0	50	50	0	22	2	845,833$
Scratches
1	Beck Warm (R)	100.00	45	45	56	66	45	45	45	50	45	45	45	44	44	0	50	48	0	22	3	650,000$

	TEAM AVERAGE	100.00	45	45	56	78	44	45	47	51	46	46	40	44	44	0	50	49

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Alexander Nylander	Phantoms (Phi)	LW/RW	82	22	37	59	-23	34	0	126	119	311	78	256	7.07%	22	1477	18.02	7	8	15	48	168	2	0	2	6	74	1	2	41.18%	102	0	0	0.80	0	1	0	0	0	3	2	2
2	Reese Johnson	Phantoms (Phi)	RW	82	28	26	54	-15	109	5	292	155	338	86	276	8.28%	37	1668	20.35	1	5	6	44	191	0	0	0	9	164	4	0	59.07%	215	0	1	0.65	3	5	0	0	1	5	0	2
3	Gavin Bayreuther	Phantoms (Phi)	D	82	14	37	51	-29	32	10	114	113	149	37	82	9.40%	128	1766	21.54	5	6	11	66	174	0	0	0	2	246	1	1	0.00%	0	0	0	0.58	0	0	1	1	0	1	3	2
4	Sam Poulin	Phantoms (Phi)	LW/RW	82	25	24	49	-6	50	0	139	99	250	74	170	10.00%	17	1250	15.25	3	3	6	16	68	0	0	0	1	11	4	1	47.30%	74	0	0	0.78	0	0	0	0	0	3	1	4
5	Logan Hutsko	Phantoms (Phi)	C/RW	82	18	30	48	-7	18	0	51	158	174	42	111	10.34%	14	1199	14.63	1	4	5	9	63	0	0	0	0	3	2	3	54.91%	1455	0	0	0.80	0	0	0	0	0	0	1	1
6	Josiah Slavin	Phantoms (Phi)	LW	75	19	26	45	-27	14	0	68	163	291	89	177	6.53%	24	1555	20.74	2	5	7	42	164	0	1	1	11	182	4	1	46.69%	529	0	0	0.58	1	5	0	0	0	3	3	1
7	Trey Fix-Wolansky	Phantoms (Phi)	RW	82	26	18	44	2	20	0	61	102	196	46	164	13.27%	31	1198	14.62	0	0	0	2	19	0	0	0	0	54	3	1	44.54%	119	0	0	0.73	0	1	0	0	0	1	4	3
8	Roby Jarventie	Phantoms (Phi)	LW	82	15	28	43	10	24	0	54	89	209	63	147	7.18%	21	996	12.15	1	2	3	23	72	0	0	0	1	50	1	1	39.26%	135	0	0	0.86	0	2	0	0	0	1	1	2
9	Jonah Gadjovich	Phantoms (Phi)	LW	82	11	28	39	-23	125	15	255	93	129	26	78	8.53%	48	1185	14.46	0	0	0	1	0	0	0	0	0	5	1	1	37.42%	481	0	0	0.66	0	0	1	0	1	2	1	3
10	Jakob Pelletier	Phantoms (Phi)	C/LW	68	16	23	39	-2	14	0	65	155	245	69	185	6.53%	14	1310	19.27	2	8	10	38	146	1	0	1	5	99	2	2	57.28%	1079	0	0	0.60	2	6	0	0	0	1	5	1
11	Tommy Novak	Philadelphie	C	52	10	24	34	-24	12	0	15	110	161	58	119	6.21%	11	934	17.97	0	8	8	24	123	0	0	0	3	42	1	0	51.32%	1175	0	0	0.73	1	2	0	0	0	2	1	1
12	Ben Harpur	Phantoms (Phi)	D	73	8	22	30	-12	125	25	253	55	125	36	95	6.40%	120	1664	22.80	3	5	8	47	172	0	1	1	3	220	2	1	0.00%	0	0	0	0.36	0	0	3	2	0	0	3	4
13	Juuso Valimaki	Phantoms (Phi)	D	39	7	17	24	-2	22	0	55	60	82	26	59	8.54%	60	932	23.91	5	1	6	48	110	0	0	0	3	115	0	0	0.00%	0	1	0	0.51	0	0	0	0	0	1	0	2
14	Mac Hollowell	Phantoms (Phi)	D	81	3	21	24	-15	22	0	56	40	51	18	23	5.88%	99	1429	17.65	0	1	1	11	88	0	0	0	2	157	0	1	0.00%	0	0	0	0.34	0	0	0	0	0	1	0	1
15	Austin Poganski	Phantoms (Phi)	RW	82	4	16	20	-6	58	0	114	38	97	28	57	4.12%	70	713	8.71	0	0	0	8	8	0	0	0	0	2	0	0	19.05%	21	0	0	0.56	0	0	0	0	0	1	1	0
16	Morgan Barron	Phantoms (Phi)	C/LW/RW	33	1	17	18	2	12	0	38	50	85	26	52	1.18%	5	666	20.19	0	3	3	16	92	0	0	0	2	89	1	0	53.52%	398	0	0	0.54	1	2	0	0	0	0	0	2
17	Dominic Toninato	Philadelphie	C/LW/RW	15	5	11	16	-3	6	0	10	37	60	13	40	8.33%	7	323	21.56	0	3	3	6	30	0	0	0	6	59	2	0	44.67%	403	0	0	0.99	0	2	0	0	0	1	1	1
18	Jarred Tinordi	Phantoms (Phi)	D	33	3	12	15	7	47	5	109	22	28	4	26	10.71%	55	676	20.51	0	3	3	10	58	0	1	1	0	99	0	0	0.00%	1	0	0	0.44	0	0	0	0	1	0	1	0
19	Matt Bartkowski	Phantoms (Phi)	D	49	5	8	13	-20	34	0	89	18	43	19	24	11.63%	62	1015	20.73	3	1	4	18	114	0	0	0	0	124	0	0	0.00%	0	0	0	0.26	0	0	0	0	0	1	0	0
20	Matt Martin	Philadelphie	LW	10	4	7	11	7	8	0	34	13	44	14	33	9.09%	0	226	22.62	0	2	2	5	32	0	0	0	1	22	0	0	45.36%	97	0	0	0.97	0	0	0	0	0	1	1	0
21	Dylan Sikura	Philadelphie	LW/RW	5	2	2	4	-4	0	0	5	10	23	7	9	8.70%	1	109	21.82	1	1	2	1	10	0	0	0	0	25	0	1	56.36%	55	0	0	0.73	0	0	0	0	0	0	0	0
22	Dillon Hamaliuk	Phantoms (Phi)	LW	15	0	1	1	-4	0	0	5	2	6	0	1	0.00%	2	80	5.37	0	0	0	3	8	0	0	0	0	12	0	0	37.50%	16	0	0	0.25	0	0	0	0	0	0	0	0
23	Sasha Chmelevski	Philadelphie	C/RW	1	0	0	0	0	0	0	0	4	2	2	5	0.00%	0	23	23.27	0	0	0	0	3	0	0	0	0	0	0	0	43.75%	32	0	0	0.00%	0	0	0	0	0	0	0	0
24	Mason Millman	Phantoms (Phi)	D	8	0	0	0	-2	0	0	5	1	6	0	2	0.00%	4	130	16.35	0	0	0	0	4	0	0	0	0	9	0	0	0.00%	0	0	0	0.00%	0	0	0	0	0	0	0	0
Team Total or Average				1295	246	435	681	-196	786	60	2013	1706	3105	861	2191	7.92%	852	22536	17.40	34	69	103	486	1929	3	3	6	55	1873	29	16	50.87%	6387	1	1	0.60	8	26	5	3	3	28	29	32

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	Joey Daccord	Philadelphie	23	15	7	1	0.923	2.67	1393	6	62	809	0	0.769	13	23	0	2	3	2
2	Arvid Holm	Phantoms (Phi)	39	12	22	1	0.892	4.30	2053	2	147	1358	3	0.833	6	35	57	1	0	1
3	Hunter Jones	Phantoms (Phi)	19	4	11	1	0.882	4.72	979	0	77	655	0	0.667	6	17	12	1	0	0
4	Beck Warm	Phantoms (Phi)	7	2	5	0	0.846	4.23	383	0	27	175	0	0.00%	0	7	5	0	0	0
5	Kyle Keyser	Philadelphie	2	1	0	0	0.946	1.61	112	0	3	56	0	0.00%	0	1	11	0	0	1
Team Total or Average			90	34	45	3	0.896	3.85	4923	8	316	3053	3		25	83	85	4	3	4

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Link
Alexander Nylander	Phantoms (Phi)	LW/RW	23	1998-03-02	No	192 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No				Link
Arvid Holm	Phantoms (Phi)	G	22	1998-11-03	Yes	205 Lbs	6 ft5	No	No	No	2	Pro & Farm	845,833$	0$	0$	No	845,833$			Link
Austin Poganski	Phantoms (Phi)	RW	25	1996-02-16	No	201 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	750,000$	0$	0$	No	750,000$			Link
Beck Warm	Phantoms (Phi)	G	22	1999-04-21	Yes	181 Lbs	6 ft0	No	No	No	3	Pro & Farm	650,000$	0$	0$	No	650,000$	650,000$		Link
Ben Harpur (1 Way Contract)	Phantoms (Phi)	D	26	1995-01-11	No	231 Lbs	6 ft6	No	No	Yes	2	Pro & Farm	750,000$	0$	0$	No	750,000$			Link
Dillon Hamaliuk	Phantoms (Phi)	LW	20	2000-10-30	Yes	201 Lbs	6 ft4	No	No	No	4	Pro & Farm	789,167$	0$	0$	No	789,167$	789,167$	789,167$	Link
Gavin Bayreuther (1 Way Contract)	Phantoms (Phi)	D	27	1994-05-12	No	195 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	650,000$	0$	0$	No				Link
Hunter Jones	Phantoms (Phi)	G	21	2000-09-21	Yes	194 Lbs	6 ft4	No	No	No	2	Pro & Farm	825,833$	0$	0$	No	825,833$			Link
Jakob Pelletier	Phantoms (Phi)	C/LW	20	2001-03-07	Yes	181 Lbs	5 ft10	No	No	No	4	Pro & Farm	863,333$	0$	0$	No	863,333$	863,333$	863,333$	Link
Jarred Tinordi (1 Way Contract)	Phantoms (Phi)	D	29	1992-02-20	No	230 Lbs	6 ft6	No	No	Yes	2	Pro & Farm	800,000$	0$	0$	No	800,000$			Link
Jonah Gadjovich	Phantoms (Phi)	LW	22	1998-10-12	No	209 Lbs	6 ft2	No	No	No	1	Pro & Farm	783,333$	0$	0$	No				Link
Josiah Slavin	Phantoms (Phi)	LW	22	1998-12-31	No	190 Lbs	6 ft3	Yes	No	No	4	Pro & Farm	600,000$	0$	0$	No	600,000$	600,000$	600,000$	Link
Juuso Valimaki	Phantoms (Phi)	D	22	1998-10-06	No	212 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No				Link
Logan Hutsko	Phantoms (Phi)	C/RW	22	1999-02-11	No	172 Lbs	5 ft10	No	No	No	3	Pro & Farm	867,000$	0$	0$	No	867,000$	867,000$		Link
Mac Hollowell	Phantoms (Phi)	D	23	1998-09-26	No	172 Lbs	5 ft9	No	No	No	3	Pro & Farm	799,766$	0$	0$	No	799,766$	799,766$		Link
Mason Millman	Phantoms (Phi)	D	20	2001-07-18	Yes	175 Lbs	6 ft1	Yes	No	No	1	Pro & Farm	700,123$	0$	0$	No				Link
Matt Bartkowski (1 Way Contract)	Phantoms (Phi)	D	33	1988-06-04	No	201 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	575,000$	0$	0$	No				Link
Morgan Barron	Phantoms (Phi)	C/LW/RW	22	1998-12-02	No	220 Lbs	6 ft4	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$			Link
Reese Johnson	Phantoms (Phi)	RW	23	1998-07-10	No	193 Lbs	6 ft1	Yes	No	No	3	Pro & Farm	600,000$	0$	0$	No	600,000$	600,000$		Link
Roby Jarventie	Phantoms (Phi)	LW	19	2002-08-08	Yes	184 Lbs	6 ft2	No	No	No	4	Pro & Farm	894,167$	0$	0$	No	894,167$	894,167$	894,167$	Link
Sam Poulin	Phantoms (Phi)	LW/RW	20	2001-02-25	Yes	214 Lbs	6 ft2	No	No	No	4	Pro & Farm	863,333$	0$	0$	No	863,333$	863,333$	863,333$	Link
Trey Fix-Wolansky	Phantoms (Phi)	RW	22	1999-05-26	No	187 Lbs	5 ft7	No	No	No	3	Pro & Farm	809,166$	0$	0$	No	809,166$	809,166$		Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	22.95	197 Lbs	6 ft2	2.41	784,821$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Josiah Slavin	Jakob Pelletier	Reese Johnson	40	1	2	2
2	Alexander Nylander	Logan Hutsko	Sam Poulin	30	1	2	2
3	Roby Jarventie	Jonah Gadjovich	Trey Fix-Wolansky	20	1	2	2
4	Jonah Gadjovich	Josiah Slavin	Austin Poganski	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ben Harpur	Gavin Bayreuther	40	1	2	2
2	Jarred Tinordi	Mac Hollowell	30	1	2	2
3	Austin Poganski		20	1	2	2
4	Ben Harpur	Gavin Bayreuther	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Josiah Slavin	Jakob Pelletier	Reese Johnson	60	1	2	2
2	Alexander Nylander	Logan Hutsko	Sam Poulin	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ben Harpur	Gavin Bayreuther	60	1	2	2
2	Jarred Tinordi	Mac Hollowell	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Josiah Slavin	Reese Johnson	60	1	2	2
2	Jakob Pelletier	Alexander Nylander	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ben Harpur	Gavin Bayreuther	60	1	2	2
2	Jarred Tinordi	Mac Hollowell	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Josiah Slavin	60	1	2	2	Ben Harpur	Gavin Bayreuther	60	1	2	2
2	Reese Johnson	40	1	2	2	Jarred Tinordi	Mac Hollowell	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Josiah Slavin	Reese Johnson	60	1	2	2
2	Jakob Pelletier	Alexander Nylander	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ben Harpur	Gavin Bayreuther	60	1	2	2
2	Jarred Tinordi	Mac Hollowell	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Josiah Slavin	Jakob Pelletier	Reese Johnson	Ben Harpur	Gavin Bayreuther

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Josiah Slavin	Jakob Pelletier	Reese Johnson	Ben Harpur	Gavin Bayreuther

Extra Forwards
Normal	PowerPlay	Penalty Kill
Roby Jarventie, Trey Fix-Wolansky,	Roby Jarventie, Trey Fix-Wolansky

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jarred Tinordi, Mac Hollowell, Ben Harpur	Jarred Tinordi	Mac Hollowell, Ben Harpur

Penalty Shots
Josiah Slavin, Reese Johnson, Jakob Pelletier, Alexander Nylander, Sam Poulin

Goalie
#1 : , #2 : Arvid Holm

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

	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	1	0	0	0	0	1	0	8	6	2	1	0	0	0	0	0	1	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	8	14	22	0	0	104	70	65	11	69	1004	991	968	50	68	18	20	38	12	3	25.00%	10	3	70.00%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
2	Baby Hawks	2	0	2	0	0	0	0	0	5	11	-6	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	3	7	-4	0	0.000	5	8	13	0	0	104	70	65	11	51	1004	991	968	50	79	19	20	64	8	1	12.50%	5	1	80.00%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
3	Bears	4	1	2	0	1	0	0	0	11	14	-3	2	0	1	0	1	0	0	0	8	9	-1	2	1	1	0	0	0	0	0	3	5	-2	4	0.500	11	22	33	0	0	104	70	65	11	121	1004	991	968	50	128	28	45	95	12	3	25.00%	19	4	78.95%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
4	Bruins	3	1	2	0	0	0	0	0	6	12	-6	1	0	1	0	0	0	0	0	3	5	-2	2	1	1	0	0	0	0	0	3	7	-4	2	0.333	6	11	17	0	0	104	70	65	11	107	1004	991	968	50	91	18	21	73	14	1	7.14%	7	1	85.71%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
5	Cabaret Lady Mary Ann	3	3	0	0	0	0	0	0	20	11	9	2	2	0	0	0	0	0	0	12	6	6	1	1	0	0	0	0	0	0	8	5	3	6	1.000	20	36	56	0	0	104	70	65	11	197	1004	991	968	50	125	33	52	85	5	1	20.00%	16	2	87.50%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
6	Caroline	4	1	2	0	1	0	0	0	11	14	-3	2	0	1	0	1	0	0	0	8	8	0	2	1	1	0	0	0	0	0	3	6	-3	4	0.500	11	21	32	0	0	104	70	65	11	140	1004	991	968	50	139	46	34	83	10	2	20.00%	17	4	76.47%	1	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
7	Chiefs	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	6	2	4	4	1.000	9	17	26	0	0	104	70	65	11	65	1004	991	968	50	56	12	8	46	12	3	25.00%	3	0	100.00%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
8	Chill	2	0	2	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	6	11	17	0	0	104	70	65	11	68	1004	991	968	50	92	29	24	37	3	1	33.33%	12	3	75.00%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
9	Comets	2	1	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	2	1	1	2	0.500	4	7	11	0	0	104	70	65	11	65	1004	991	968	50	88	29	16	41	5	0	0.00%	8	1	87.50%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
10	Cougars	3	2	1	0	0	0	0	0	13	11	2	2	1	1	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	7	3	4	4	0.667	13	24	37	0	0	104	70	65	11	124	1004	991	968	50	112	36	22	79	11	2	18.18%	11	2	81.82%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
11	Crunch	3	2	1	0	0	0	0	0	10	13	-3	2	1	1	0	0	0	0	0	8	12	-4	1	1	0	0	0	0	0	0	2	1	1	4	0.667	10	19	29	0	0	104	70	65	11	139	1004	991	968	50	119	38	32	62	12	0	0.00%	14	5	64.29%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
12	Heat	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	1	4	-3	1	1	0	0	0	0	0	0	5	3	2	2	0.500	6	10	16	0	0	104	70	65	11	88	1004	991	968	50	78	24	18	53	3	1	33.33%	8	1	87.50%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
13	Jayhawks	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	3	1	4	1.000	8	12	20	0	0	104	70	65	11	68	1004	991	968	50	67	21	18	39	3	0	0.00%	7	2	71.43%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
14	Las Vegas	2	0	2	0	0	0	0	0	8	13	-5	1	0	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	3	7	-4	0	0.000	8	13	21	0	0	104	70	65	11	86	1004	991	968	50	68	22	18	42	2	1	50.00%	8	4	50.00%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
15	Manchots	3	0	2	0	0	1	0	0	4	11	-7	1	0	0	0	0	1	0	0	3	4	-1	2	0	2	0	0	0	0	0	1	7	-6	1	0.167	4	6	10	0	0	104	70	65	11	85	1004	991	968	50	107	27	48	71	8	1	12.50%	14	3	78.57%	1	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
16	Marlies	3	1	2	0	0	0	0	0	10	15	-5	1	1	0	0	0	0	0	0	6	4	2	2	0	2	0	0	0	0	0	4	11	-7	2	0.333	10	15	25	0	0	104	70	65	11	100	1004	991	968	50	111	41	16	70	11	1	9.09%	8	3	62.50%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
17	Minnesota	2	0	2	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	4	8	12	0	0	104	70	65	11	59	1004	991	968	50	76	20	10	54	2	1	50.00%	5	1	80.00%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
18	Monarchs	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	7	12	19	0	0	104	70	65	11	105	1004	991	968	50	75	26	18	55	5	1	20.00%	8	0	100.00%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
19	Monsters	4	0	3	0	0	0	1	0	10	17	-7	2	0	1	0	0	0	1	0	6	8	-2	2	0	2	0	0	0	0	0	4	9	-5	2	0.250	10	16	26	0	0	104	70	65	11	148	1004	991	968	50	148	37	16	101	8	0	0.00%	7	1	85.71%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
20	Monsters	2	0	2	0	0	0	0	0	4	11	-7	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	4	8	12	0	0	104	70	65	11	50	1004	991	968	50	82	21	26	51	6	1	16.67%	12	3	75.00%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
21	Oceanics	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	13	21	0	0	104	70	65	11	72	1004	991	968	50	76	24	28	56	6	0	0.00%	14	1	92.86%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
22	Oil Kings	2	1	0	0	0	0	0	1	7	6	1	1	0	0	0	0	0	0	1	1	2	-1	1	1	0	0	0	0	0	0	6	4	2	3	0.750	7	12	19	0	0	104	70	65	11	79	1004	991	968	50	69	15	14	49	7	0	0.00%	6	0	100.00%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
23	Rocket	3	1	0	0	0	0	2	0	15	11	4	2	1	0	0	0	0	1	0	8	5	3	1	0	0	0	0	0	1	0	7	6	1	6	1.000	15	25	40	0	0	104	70	65	11	108	1004	991	968	50	122	34	36	76	7	0	0.00%	17	3	82.35%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
24	Seattle	2	0	2	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	104	70	65	11	102	1004	991	968	50	75	21	12	53	3	0	0.00%	6	1	83.33%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
25	Senators	3	0	2	0	1	0	0	0	8	14	-6	1	0	0	0	1	0	0	0	4	3	1	2	0	2	0	0	0	0	0	4	11	-7	2	0.333	8	15	23	0	0	104	70	65	11	118	1004	991	968	50	107	28	24	67	15	3	20.00%	12	3	75.00%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
26	Sharks	2	1	1	0	0	0	0	0	8	10	-2	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	5	8	-3	2	0.500	8	14	22	0	0	104	70	65	11	75	1004	991	968	50	77	27	8	64	6	3	50.00%	4	0	100.00%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
27	Sound Tigers	4	0	4	0	0	0	0	0	7	18	-11	2	0	2	0	0	0	0	0	4	10	-6	2	0	2	0	0	0	0	0	3	8	-5	0	0.000	7	11	18	0	0	104	70	65	11	109	1004	991	968	50	167	50	56	96	4	1	25.00%	22	4	81.82%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
28	Spiders	4	0	4	0	0	0	0	0	5	21	-16	2	0	2	0	0	0	0	0	1	9	-8	2	0	2	0	0	0	0	0	4	12	-8	0	0.000	5	7	12	0	0	104	70	65	11	112	1004	991	968	50	174	51	49	114	13	2	15.38%	22	6	72.73%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
29	Stars	2	0	1	0	0	0	1	0	7	8	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0	0	0	0	0	1	0	4	3	1	2	0.500	7	10	17	0	0	104	70	65	11	72	1004	991	968	50	64	26	24	50	6	0	0.00%	11	3	72.73%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
30	Thunder	3	0	2	0	0	0	0	1	8	17	-9	1	0	0	0	0	0	0	1	3	4	-1	2	0	2	0	0	0	0	0	5	13	-8	1	0.167	8	16	24	0	0	104	70	65	11	89	1004	991	968	50	120	32	29	81	7	1	14.29%	12	6	50.00%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
31	Wolf Pack	3	0	3	0	0	0	0	0	8	15	-7	2	0	2	0	0	0	0	0	5	11	-6	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	8	13	21	0	0	104	70	65	11	118	1004	991	968	50	146	32	30	78	12	0	0.00%	15	6	60.00%	0	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
	Total	82	25	46	0	3	1	5	2	247	329	-82	41	11	21	0	3	1	3	2	128	159	-31	41	14	25	0	0	0	2	0	119	170	-51	69	0.421	247	430	677	0	0	104	70	65	11	2989	1004	991	968	50	3106	885	792	2023	238	34	14.29%	340	77	77.35%	2	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
	_Since Last GM Reset	82	25	46	0	3	1	5	2	247	329	-82	41	11	21	0	3	1	3	2	128	159	-31	41	14	25	0	0	0	2	0	119	170	-51	69	0.421	247	430	677	0	0	104	70	65	11	2989	1004	991	968	50	3106	885	792	2023	238	34	14.29%	340	77	77.35%	2	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
	_Vs Conference	44	9	29	0	2	1	2	1	114	187	-73	20	4	10	0	2	1	2	1	61	81	-20	24	5	19	0	0	0	0	0	53	106	-53	28	0.318	114	196	310	0	0	104	70	65	11	1496	1004	991	968	50	1687	468	432	1096	136	21	15.44%	186	44	76.34%	1	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546
	_Vs Division	26	0	14	0	0	0	1	0	56	110	-54	13	0	7	0	0	0	1	0	35	59	-24	13	0	7	0	0	0	0	0	21	51	-30	2	0.038	56	96	152	0	0	104	70	65	11	833	1004	991	968	50	1009	271	278	638	67	9	13.43%	116	28	75.86%	2	1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%	1956	1329	1926	610	1084	546

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	69	L1	247	430	677	2989	3106	885	792	2023	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	25	46	3	1	5	2	247	329

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	11	21	3	1	3	2	128	159

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	14	25	0	0	2	0	119	170

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
238	34	14.29%	340	77	77.35%	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
1004	991	968	50	104	70	65	11

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1422	2857	49.77%	1300	2757	47.15%	648	1371	47.26%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1956	1329	1926	610	1084	546

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
7 - 2022-10-13	12	Spiders	5	Phantoms	1	BL			BoxScore
9 - 2022-10-15	26	Comets	5	Phantoms	2	BL			BoxScore
12 - 2022-10-18	53	Phantoms	2	Thunder	5	AL			BoxScore
13 - 2022-10-19	56	Phantoms	8	Cabaret Lady Mary Ann	5	AW			BoxScore
16 - 2022-10-22	83	Phantoms	3	Chill	5	AL			BoxScore
17 - 2022-10-23	91	Sharks	2	Phantoms	3	BW			BoxScore
21 - 2022-10-27	112	Cabaret Lady Mary Ann	4	Phantoms	6	BW			BoxScore
23 - 2022-10-29	132	Caroline	3	Phantoms	4	BW	X		BoxScore
26 - 2022-11-01	149	Phantoms	3	Wolf Pack	4	AL			BoxScore
27 - 2022-11-02	159	Phantoms	2	Marlies	5	AL			BoxScore
30 - 2022-11-05	183	Phantoms	3	Senators	7	AL			BoxScore
33 - 2022-11-08	199	Chiefs	1	Phantoms	3	BW			BoxScore
35 - 2022-11-10	214	Phantoms	1	Monsters	4	AL			BoxScore
37 - 2022-11-12	225	Senators	3	Phantoms	4	BW	X		BoxScore
38 - 2022-11-13	238	Stars	5	Phantoms	3	BL			BoxScore
40 - 2022-11-15	250	Phantoms	3	Monsters	5	AL			BoxScore
42 - 2022-11-17	265	Phantoms	0	Bruins	5	AL			BoxScore
44 - 2022-11-19	281	Phantoms	7	Rocket	6	AW	X	X	BoxScore
46 - 2022-11-21	292	Heat	4	Phantoms	1	BL			BoxScore
48 - 2022-11-23	312	Phantoms	0	Bears	4	AL			BoxScore
50 - 2022-11-25	324	Manchots	4	Phantoms	3	BL	X		BoxScore
51 - 2022-11-26	337	Phantoms	1	Sound Tigers	3	AL			BoxScore
54 - 2022-11-29	353	Sound Tigers	6	Phantoms	1	BL			BoxScore
56 - 2022-12-01	367	Thunder	4	Phantoms	3	BL	X	X	BoxScore
58 - 2022-12-03	382	Spiders	4	Phantoms	0	BL			BoxScore
60 - 2022-12-05	397	Monsters	5	Phantoms	2	BL			BoxScore
62 - 2022-12-07	413	Bears	5	Phantoms	6	BW	X		BoxScore
64 - 2022-12-09	432	Phantoms	3	Las Vegas	7	AL			BoxScore
66 - 2022-12-11	445	Phantoms	4	Jayhawks	3	AW			BoxScore
68 - 2022-12-13	464	Phantoms	2	Monsters	6	AL			BoxScore
70 - 2022-12-15	473	Phantoms	2	Spiders	4	AL			BoxScore
72 - 2022-12-17	489	Wolf Pack	7	Phantoms	2	BL			BoxScore
75 - 2022-12-20	510	Monsters	5	Phantoms	2	BL			BoxScore
77 - 2022-12-22	525	Phantoms	2	Marlies	6	AL			BoxScore
78 - 2022-12-23	535	Phantoms	2	Caroline	1	AW			BoxScore
84 - 2022-12-29	573	Phantoms	5	Sharks	8	AL			BoxScore
86 - 2022-12-31	580	Phantoms	3	Monarchs	1	AW			BoxScore
88 - 2023-01-02	597	Phantoms	4	Admirals	3	AW			BoxScore
91 - 2023-01-05	612	Jayhawks	1	Phantoms	4	BW			BoxScore
94 - 2023-01-08	643	Marlies	4	Phantoms	6	BW			BoxScore
97 - 2023-01-11	659	Bears	4	Phantoms	2	BL			BoxScore
100 - 2023-01-14	681	Phantoms	3	Bears	1	AW			BoxScore
102 - 2023-01-16	695	Phantoms	3	Bruins	2	AW			BoxScore
103 - 2023-01-17	705	Admirals	3	Phantoms	4	BW	X	X	BoxScore
105 - 2023-01-19	719	Baby Hawks	4	Phantoms	2	BL			BoxScore
107 - 2023-01-21	735	Phantoms	7	Cougars	3	AW			BoxScore
108 - 2023-01-22	749	Oceanics	2	Phantoms	4	BW			BoxScore
110 - 2023-01-24	757	Monarchs	3	Phantoms	4	BW			BoxScore
112 - 2023-01-26	779	Phantoms	2	Minnesota	3	AL			BoxScore
114 - 2023-01-28	790	Phantoms	4	Oceanics	2	AW			BoxScore
123 - 2023-02-06	807	Sound Tigers	4	Phantoms	3	BL			BoxScore
126 - 2023-02-09	822	Oil Kings	2	Phantoms	1	BL	X	X	BoxScore
128 - 2023-02-11	836	Chill	4	Phantoms	3	BL			BoxScore
129 - 2023-02-12	848	Seattle	3	Phantoms	0	BL			BoxScore
133 - 2023-02-16	876	Phantoms	2	Seattle	4	AL			BoxScore
135 - 2023-02-18	890	Phantoms	2	Comets	1	AW			BoxScore
137 - 2023-02-20	905	Phantoms	5	Heat	3	AW			BoxScore
138 - 2023-02-21	916	Phantoms	6	Oil Kings	4	AW			BoxScore
141 - 2023-02-24	932	Rocket	2	Phantoms	3	BW	X	X	BoxScore
142 - 2023-02-25	941	Phantoms	2	Spiders	8	AL			BoxScore
146 - 2023-03-01	968	Wolf Pack	4	Phantoms	3	BL			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2023-03-04	990	Phantoms	2	Crunch	1	AW			BoxScore
150 - 2023-03-05	1003	Cougars	2	Phantoms	5	BW			BoxScore
152 - 2023-03-07	1014	Phantoms	3	Thunder	8	AL			BoxScore
154 - 2023-03-09	1030	Phantoms	1	Caroline	5	AL			BoxScore
156 - 2023-03-11	1039	Phantoms	0	Manchots	4	AL			BoxScore
159 - 2023-03-14	1066	Las Vegas	6	Phantoms	5	BL			BoxScore
162 - 2023-03-17	1091	Crunch	7	Phantoms	2	BL			BoxScore
163 - 2023-03-18	1099	Caroline	5	Phantoms	4	BL			BoxScore
166 - 2023-03-21	1122	Cabaret Lady Mary Ann	2	Phantoms	6	BW			BoxScore
168 - 2023-03-23	1136	Minnesota	3	Phantoms	2	BL			BoxScore
170 - 2023-03-25	1150	Cougars	6	Phantoms	1	BL			BoxScore
173 - 2023-03-28	1177	Rocket	3	Phantoms	5	BW			BoxScore
175 - 2023-03-30	1193	Phantoms	1	Senators	4	AL			BoxScore
177 - 2023-04-01	1206	Crunch	5	Phantoms	6	BW			BoxScore
178 - 2023-04-02	1221	Phantoms	1	Manchots	3	AL			BoxScore
180 - 2023-04-04	1234	Phantoms	6	Chiefs	2	AW			BoxScore
182 - 2023-04-06	1252	Phantoms	4	Stars	3	AW	X	X	BoxScore
184 - 2023-04-08	1268	Phantoms	2	Sound Tigers	5	AL			BoxScore
185 - 2023-04-09	1273	Bruins	5	Phantoms	3	BL			BoxScore
187 - 2023-04-11	1287	Monsters	3	Phantoms	4	BW	X	X	BoxScore
189 - 2023-04-13	1306	Phantoms	3	Baby Hawks	7	AL			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	77,826	39,168
Attendance PCT	94.91%	95.53%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2854 - 95.12%	80,767$	3,311,430$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,477,246$	1,449,105$	1,449,105$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
7,627$	1,474,991$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	7,627$	0$

Phantoms Stat Leaders (Regular Season)

Show or Hide Column

#	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 Column

#	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 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

Phantoms Stat Leaders (Play-Off)

Show or Hide Column

#	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 Column

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

	Phantoms
	GP: 82 \| W: 33 \| L: 46 \| OTL: 3 \| P: 69 GF: 247 \| GA: 329 \| PP%: 14.29% \| PK%: 77.35% GM : Richard Duguay \| Morale : 50 \| Team Overall : 57