Jets
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Game Center
	Moose 52-27-3, 107pts	1	FINAL	2	Wild 66-11-5, 137pts

Team Stats
W1	Streak	L1
26-14-1	Home Record	35-3-3
26-13-2	Away Record	31-8-2
7-3-0	Last 10 Games	7-2-1
3.45	Goals Per Game	4.30
2.09	Goals Against Per Game	1.63
14.36%	Power Play Percentage	19.21%
87.70%	Penalty Kill Percentage	90.30%

Moose
52-27-3, 107pts

FINAL

Wolves
55-24-3, 113pts

Team Stats
W1	Streak	L4
26-14-1	Home Record	28-12-1
26-13-2	Away Record	27-12-2
7-3-0	Last 10 Games	2-7-1
3.45	Goals Per Game	3.82
2.09	Goals Against Per Game	2.26
14.36%	Power Play Percentage	15.95%
87.70%	Penalty Kill Percentage	86.06%

Team Leaders
	Goals Roby Jarventie 33	Assists Keegan Kolesar 52

	Points Keegan Kolesar 81	Plus/Minus Markus Niemelainen 50

	Wins Joel Blomqvist 30	Save Percentage Joel Blomqvist 0.885

Team Stats
Goals For 283 3.45 GFG	Shots For 1972 24.05 Avg	Power Play Percentage 14.4% 54 GF	Offensive Zone Start 40.9%
Goals Against 171 2.09 GAA	Shots Against 1403 17.11 Avg	Penalty Kill Percentage 87.7%% 63 GA	Defensive Zone Start 36.7%

Team Info
	General Manager	Mika
	Coach	Todd Richards
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,934
	Season Tickets	0
Roster Info
	Pro Team	21
	Farm Team	22
	Contract Limit	43 / 51
	Prospects	35
Team History
	This Season	52-27-3 (107PTS)
	History	0-0-0


	Stanley Cup	0

Show or Hide Column

Filter Tips

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

#	Player Name	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
1	Keegan Kolesar			X		100.00	99	90	82	75	81	57	94	65	36	61	59	72	25	65	67	68	50	66	0	28	2	1,000,000$
2	Tyler Pitlick			X		100.00	90	46	95	77	75	56	75	62	31	59	56	69	25	67	67	65	50	64	0	33	2	800,000$
3	Roby Jarventie (R)		X			100.00	77	79	72	68	79	57	55	66	50	62	66	66	63	44	44	66	50	62	0	22	1	894,167$
4	Mikael Pyyhtia	X				100.00	65	41	99	63	63	64	74	64	32	61	55	77	25	45	45	64	50	61	0	23	3	925,000$
5	Fredrik Karlstrom	X				100.00	79	73	94	61	73	74	78	61	76	57	60	66	57	44	44	64	50	61	0	27	1	750,000$
6	Samu Tuomaala (R)			X		100.00	72	62	94	65	62	69	72	61	50	60	58	62	55	44	44	63	50	60	0	22	3	863,333$
7	Clark Bishop	X	X			100.00	70	72	66	66	72	71	76	57	71	50	56	64	53	58	58	60	50	60	0	29	2	775,000$
8	Rasmus Kupari	X	X	X		100.00	79	70	80	77	70	64	70	45	58	56	53	59	42	60	61	54	50	59	0	25	2	1,000,000$
9	Judd Caulfield (R)			X		100.00	81	77	89	61	77	64	67	56	50	52	56	66	53	44	44	61	50	59	0	24	3	837,500$
10	Joona Koppanen	X	X			100.00	79	75	88	63	75	75	81	52	65	53	47	64	45	44	44	57	50	58	0	27	2	775,000$
11	Matt Filipe	X	X			100.00	77	75	82	67	75	60	63	49	61	45	47	62	45	44	44	55	50	55	0	27	1	925,000$
12	Tucker Robertson (R)	X				100.00	74	68	87	61	68	57	59	50	63	45	51	61	48	44	44	55	50	54	0	21	3	950,000$
13	Marcus Bjork (R)				X	100.00	79	76	85	65	76	74	80	55	25	49	45	65	43	47	47	58	50	62	0	27	2	775,000$
14	Tyler Kleven (R)				X	100.00	76	77	75	68	77	63	67	51	25	46	42	62	40	44	44	55	50	59	0	23	3	1,125,000$
15	Simon Johansson				X	100.00	70	66	80	65	66	76	83	49	25	37	46	58	44	44	44	54	50	58	0	25	3	925,000$
16	Michael Karow				X	100.00	76	75	78	65	75	63	68	48	25	40	40	61	38	44	44	53	50	58	0	26	3	775,000$
17	Markus Niemelainen (R)				X	100.00	79	76	85	65	76	58	62	45	25	35	40	62	38	46	46	51	50	57	0	26	1	925,000$
Scratches

	TEAM AVERAGE					100.00	78	70	84	67	73	65	72	55	45	51	52	64	43	49	49	59	50	60

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
1	Joel Blomqvist (R)	100.00	62	47	59	72	65	62	69	71	68	68	30	44	44	64	50	62	0	23	3	925,000$
2	Jeremy Helvig	100.00	61	52	65	79	65	62	58	65	62	61	30	44	44	61	50	61	0	27	1	750,000$
Scratches
1	Dylan Wells	100.00	50	45	56	72	51	52	50	55	53	52	30	44	44	51	50	53	0	27	1	750,000$
2	Jean-Francois Berube	100.00	47	47	59	66	46	48	50	53	50	50	30	47	47	49	50	51	0	33	1	775,000$

	TEAM AVERAGE	100.00	55	48	60	72	57	56	57	61	58	58	30	45	45	56	50	57

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Todd Richards	67	74	71	63	81	76	67	USA	55	2	925,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Keegan Kolesar	Moose (WPG)	RW	82	29	52	81	33	154	10	232	157	241	89	177	12.03%	12	1725	21.04	4	14	18	37	260	0	0	0	5	321	10	3	44.48%	634	0	0	0.94	0	3	1	1	0	5	7	7
2	Roby Jarventie	Moose (WPG)	LW	82	33	48	81	43	63	5	133	73	205	47	144	16.10%	6	1463	17.84	4	11	15	24	256	0	1	1	10	196	6	2	55.71%	70	0	1	1.11	0	0	1	0	0	8	5	4
3	Mikael Pyyhtia	Moose (WPG)	C	82	29	51	80	42	8	0	6	100	165	40	134	17.58%	9	1376	16.78	5	13	18	40	292	0	0	0	0	107	5	0	45.99%	1235	0	0	1.16	0	0	0	0	0	7	3	2
4	Fredrik Karlstrom	Moose (WPG)	C	82	26	40	66	35	22	0	53	120	151	62	133	17.22%	6	1390	16.95	6	14	20	35	306	0	1	1	4	163	3	1	67.39%	1420	0	0	0.95	0	0	0	0	0	5	5	1
5	Tyler Pitlick	Moose (WPG)	RW	82	21	44	65	40	66	0	156	100	168	45	109	12.50%	9	1654	20.17	3	8	11	31	277	0	0	0	6	353	3	1	47.20%	125	0	0	0.79	0	3	0	0	0	4	7	6
6	Clark Bishop	Moose (WPG)	C/LW	82	26	35	61	37	86	0	98	141	178	38	136	14.61%	10	1473	17.97	4	6	10	24	222	1	1	2	3	119	6	0	66.85%	917	1	0	0.83	0	0	0	0	0	7	3	2
7	Samu Tuomaala	Moose (WPG)	RW	82	24	25	49	35	30	0	35	108	172	63	128	13.95%	11	1385	16.89	0	1	1	6	32	1	0	1	10	205	3	2	55.47%	247	0	0	0.71	2	2	0	0	0	3	3	6
8	Santeri Hatakka	Jets	D	47	11	25	36	20	36	0	39	49	59	20	45	18.64%	43	934	19.88	8	4	12	31	132	0	0	0	1	187	2	0	0.00%	0	0	0	0.77	0	0	0	0	0	1	1	5
9	Rasmus Kupari	Moose (WPG)	C/LW/RW	82	9	21	30	27	62	0	85	74	95	31	79	9.47%	4	1091	13.31	0	0	0	1	4	0	0	0	0	4	1	0	67.39%	92	0	0	0.55	0	0	0	0	0	1	1	1
10	Judd Caulfield	Moose (WPG)	RW	82	14	16	30	21	26	0	37	46	97	39	74	14.43%	5	1013	12.36	0	0	0	0	0	0	0	0	0	1	2	1	66.67%	57	0	0	0.59	0	0	0	0	0	1	1	1
11	Simon Johansson	Moose (WPG)	D	82	8	18	26	37	70	0	104	26	39	20	24	20.51%	66	1686	20.57	4	4	8	18	285	0	1	1	1	325	1	0	0.00%	0	0	0	0.31	0	0	0	0	0	1	1	4
12	Tyler Kleven	Moose (WPG)	D	82	5	20	25	40	114	10	173	31	45	16	35	11.11%	76	1734	21.15	3	3	6	23	261	0	2	2	1	343	2	1	0.00%	0	0	0	0.29	0	0	0	0	2	0	2	5
13	Marcus Bjork	Moose (WPG)	D	74	2	20	22	30	84	0	132	47	42	24	37	4.76%	44	1490	20.14	2	3	5	18	209	0	0	0	1	233	1	0	0.00%	0	0	0	0.30	0	0	0	0	0	0	1	0
14	Matias Maccelli	Jets	LW	24	8	8	16	9	2	0	1	17	43	9	36	18.60%	0	255	10.63	3	2	5	8	38	1	0	1	2	80	2	0	47.97%	123	0	1	1.25	0	1	0	0	0	1	2	0
15	Markus Niemelainen	Moose (WPG)	D	82	6	8	14	50	76	0	128	17	35	9	20	17.14%	49	1523	18.58	3	2	5	9	169	0	0	0	0	336	2	0	0.00%	0	0	0	0.18	0	0	0	0	0	0	1	0
16	Joona Koppanen	Moose (WPG)	C/LW	78	5	5	10	9	12	0	13	31	37	11	26	13.51%	3	369	4.74	0	0	0	0	8	0	0	0	2	19	0	1	67.21%	247	0	0	0.54	0	0	0	0	0	0	1	0
17	Michael Karow	Moose (WPG)	D	43	2	7	9	23	79	5	73	10	9	5	8	22.22%	18	705	16.42	1	0	1	1	10	0	1	1	0	36	1	0	0.00%	0	0	0	0.25	0	0	1	0	0	0	1	0
18	Tucker Robertson	Moose (WPG)	C	77	1	3	4	6	8	0	11	18	26	1	17	3.85%	1	300	3.90	0	2	2	10	83	1	0	1	1	19	0	0	52.94%	85	0	0	0.27	0	0	0	0	0	0	1	0
19	Matt Filipe	Moose (WPG)	C/LW	36	0	1	1	1	2	0	0	0	0	0	1	0.00%	0	7	0.22	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	2.54	0	0	0	0	0	0	0	0
Team Total or Average				1363	259	447	706	538	1000	30	1509	1165	1807	569	1363	14.33%	372	21581	15.83	50	87	137	316	2852	4	7	11	47	3055	50	12	57.60%	5252	1	2	0.65	2	9	3	1	2	44	46	44

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	Joel Blomqvist	Moose (WPG)	47	30	11	1	0.885	2.04	2700	2	6	92	800	2	1.000	6	43	39	4	1	0
2	Jeremy Helvig	Moose (WPG)	40	22	16	2	0.871	2.09	2243	2	7	78	603	2	0.667	3	39	43	1	1	3
Team Total or Average			87	52	27	3	0.879	2.06	4943	4	13	170	1403	4		9	82	82	5	2	3

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	Link
Clark Bishop	Moose (WPG)	C/LW	29	1996-03-28	No	199 Lbs	6 ft1	No	No	No	2	Pro & Farm	775,000$	0$	0$	No	775,000$		Link / NHL Link
Dylan Wells	Moose (WPG)	G	27	1998-01-03	No	183 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link / NHL Link
Fredrik Karlstrom	Moose (WPG)	C	27	1998-01-12	No	190 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Jean-Francois Berube	Moose (WPG)	G	33	1991-07-13	No	177 Lbs	6 ft1	No	No	No	1	Pro & Farm	775,000$	0$	0$	No			Link
Jeremy Helvig	Moose (WPG)	G	27	1997-05-24	No	188 Lbs	6 ft4	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link / NHL Link
Joel Blomqvist	Moose (WPG)	G	23	2002-01-10	Yes	183 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Link
Joona Koppanen	Moose (WPG)	C/LW	27	1998-02-25	No	194 Lbs	6 ft5	No	No	No	2	Pro & Farm	775,000$	0$	0$	No	775,000$		Link / NHL Link
Judd Caulfield	Moose (WPG)	RW	24	2001-03-19	Yes	207 Lbs	6 ft3	No	No	No	3	Pro & Farm	837,500$	0$	0$	No	837,500$	837,500$	Link
Keegan Kolesar	Moose (WPG)	RW	28	1997-04-08	No	216 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$		Link / NHL Link
Marcus Bjork	Moose (WPG)	D	27	1997-11-24	Yes	203 Lbs	6 ft3	No	No	No	2	Pro & Farm	775,000$	0$	0$	No	775,000$		Link
Markus Niemelainen	Moose (WPG)	D	26	1998-06-07	Yes	190 Lbs	6 ft6	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Link
Matt Filipe	Moose (WPG)	C/LW	27	1997-12-31	No	203 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Link
Michael Karow	Moose (WPG)	D	26	1998-12-18	No	201 Lbs	6 ft2	No	No	No	3	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	Link
Mikael Pyyhtia	Moose (WPG)	C	23	2001-12-17	No	174 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Link
Rasmus Kupari	Moose (WPG)	C/LW/RW	25	2000-03-15	No	189 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$		Link / NHL Link
Roby Jarventie	Moose (WPG)	LW	22	2002-08-08	Yes	213 Lbs	6 ft3	No	No	No	1	Pro & Farm	894,167$	0$	0$	No			Link
Samu Tuomaala	Moose (WPG)	RW	22	2003-01-08	Yes	174 Lbs	5 ft10	No	No	No	3	Pro & Farm	863,333$	0$	0$	No	863,333$	863,333$	Link
Simon Johansson	Moose (WPG)	D	25	1999-06-14	No	170 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Link
Tucker Robertson	Moose (WPG)	C	21	2003-06-22	Yes	190 Lbs	5 ft10	No	No	No	3	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	Link
Tyler Kleven	Moose (WPG)	D	23	2002-01-10	Yes	200 Lbs	6 ft4	No	No	No	3	Pro & Farm	1,125,000$	0$	0$	No	1,125,000$	1,125,000$	Link
Tyler Pitlick	Moose (WPG)	RW	33	1991-11-01	No	200 Lbs	6 ft2	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$		Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	25.95	193 Lbs	6 ft2	2.05	867,619$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Judd Caulfield	Fredrik Karlstrom	Keegan Kolesar	40	1	2	2
2	Roby Jarventie	Mikael Pyyhtia	Tyler Pitlick	30	1	2	2
3	Rasmus Kupari	Clark Bishop	Samu Tuomaala	20	1	2	2
4	Keegan Kolesar	Joona Koppanen	Judd Caulfield	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Marcus Bjork	Michael Karow	40	1	2	2
2	Tyler Kleven	Simon Johansson	30	1	2	2
3	Markus Niemelainen		20	1	2	2
4		Tyler Kleven	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Clark Bishop	Fredrik Karlstrom	Keegan Kolesar	60	1	2	2
2	Roby Jarventie	Mikael Pyyhtia	Tyler Pitlick	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Markus Niemelainen		60	1	2	2
2	Tyler Kleven	Simon Johansson	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Keegan Kolesar	Tyler Pitlick	60	1	2	2
2	Fredrik Karlstrom	Roby Jarventie	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Markus Niemelainen	60	1	2	2
2	Tyler Kleven	Simon Johansson	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Keegan Kolesar	60	1	2	2	Markus Niemelainen		60	1	2	2
2	Tyler Pitlick	40	1	2	2	Tyler Kleven	Simon Johansson	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Keegan Kolesar	Tyler Pitlick	60	1	2	2
2	Fredrik Karlstrom	Roby Jarventie	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Markus Niemelainen	60	1	2	2
2	Tyler Kleven	Simon Johansson	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Tyler Pitlick	Fredrik Karlstrom	Keegan Kolesar		Marcus Bjork

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Tyler Pitlick	Fredrik Karlstrom	Keegan Kolesar		Marcus Bjork

Extra Forwards
Normal	PowerPlay	Penalty Kill
Tucker Robertson, Clark Bishop, Samu Tuomaala	Tucker Robertson, Clark Bishop	Samu Tuomaala

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Markus Niemelainen, Simon Johansson, Tyler Kleven	Markus Niemelainen	Markus Niemelainen, Tyler Kleven

Penalty Shots
Keegan Kolesar, Tyler Pitlick, Samu Tuomaala, Roby Jarventie, Fredrik Karlstrom

Goalie
#1 : Jeremy Helvig, #2 : Joel Blomqvist

Custom OT Lines Forwards
Keegan Kolesar, Tyler Pitlick, Tucker Robertson, Roby Jarventie, Fredrik Karlstrom, Mikael Pyyhtia, Mikael Pyyhtia, Clark Bishop, Samu Tuomaala, Rasmus Kupari, Judd Caulfield

Custom OT Lines Defensemen
, Marcus Bjork, Tyler Kleven, Simon Johansson, Markus Niemelainen

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	Americans	4	2	2	0	0	0	0	0	14	15	-1	2	1	1	0	0	0	0	0	10	8	2	2	1	1	0	0	0	0	0	4	7	-3	4	0.500	14	24	38	0	0	109	89	79	6	78	643	668	648	22	81	21	70	79	28	5	17.86%	34	7	79.41%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
2	Admirals	4	4	0	0	0	0	0	0	30	3	27	2	2	0	0	0	0	0	0	14	1	13	2	2	0	0	0	0	0	0	16	2	14	8	1.000	30	58	88	0	1	109	89	79	6	174	643	668	648	22	47	12	26	76	12	0	0.00%	13	0	100.00%	1	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
3	Barracuda	2	1	1	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	5	0	5	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	6	12	18	0	1	109	89	79	6	22	643	668	648	22	37	10	29	32	12	2	16.67%	12	2	83.33%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
4	Bears	2	2	0	0	0	0	0	0	11	1	10	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	6	0	6	4	1.000	11	19	30	0	1	109	89	79	6	53	643	668	648	22	19	6	22	53	4	0	0.00%	11	0	100.00%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
5	Bruins	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	7	5	2	4	1.000	10	17	27	0	0	109	89	79	6	55	643	668	648	22	42	11	38	43	14	2	14.29%	19	4	78.95%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
6	Canucks	2	0	2	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	4	5	9	0	0	109	89	79	6	34	643	668	648	22	31	11	25	30	9	0	0.00%	9	3	66.67%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
7	Checkers	3	0	1	0	1	1	0	0	7	8	-1	1	0	1	0	0	0	0	0	3	4	-1	2	0	0	0	1	1	0	0	4	4	0	3	0.500	7	12	19	0	0	109	89	79	6	64	643	668	648	22	62	23	45	68	12	2	16.67%	18	1	94.44%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
8	Comets	2	1	0	0	1	0	0	0	4	1	3	1	1	0	0	0	0	0	0	2	0	2	1	0	0	0	1	0	0	0	2	1	1	4	1.000	4	7	11	0	1	109	89	79	6	49	643	668	648	22	35	11	24	48	12	2	16.67%	12	0	100.00%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
9	Condors	2	1	0	0	0	1	0	0	4	4	0	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	2	1	1	3	0.750	4	8	12	0	0	109	89	79	6	24	643	668	648	22	41	17	32	45	10	1	10.00%	16	2	87.50%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
10	Crunch	3	2	1	0	0	0	0	0	9	8	1	2	2	0	0	0	0	0	0	7	4	3	1	0	1	0	0	0	0	0	2	4	-2	4	0.667	9	17	26	0	0	109	89	79	6	67	643	668	648	22	49	23	34	56	20	5	25.00%	14	3	78.57%	1	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
11	Eagles	2	0	2	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	0	1	-1	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	4	8	12	0	0	109	89	79	6	40	643	668	648	22	36	18	40	34	13	1	7.69%	18	3	83.33%	1	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
12	Firebirds	4	4	0	0	0	0	0	0	27	3	24	2	2	0	0	0	0	0	0	12	1	11	2	2	0	0	0	0	0	0	15	2	13	8	1.000	27	50	77	0	2	109	89	79	6	203	643	668	648	22	46	9	52	86	9	5	55.56%	20	0	100.00%	1	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
13	Griffins	3	1	2	0	0	0	0	0	7	10	-3	1	1	0	0	0	0	0	0	3	2	1	2	0	2	0	0	0	0	0	4	8	-4	2	0.333	7	11	18	0	0	109	89	79	6	42	643	668	648	22	57	9	40	45	17	3	17.65%	19	6	68.42%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
14	Gulls	2	2	0	0	0	0	0	0	8	0	8	1	1	0	0	0	0	0	0	3	0	3	1	1	0	0	0	0	0	0	5	0	5	4	1.000	8	15	23	0	2	109	89	79	6	92	643	668	648	22	24	4	2	41	3	1	33.33%	1	0	100.00%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
15	Ice Hogs	4	4	0	0	0	0	0	0	28	2	26	2	2	0	0	0	0	0	0	13	1	12	2	2	0	0	0	0	0	0	15	1	14	8	1.000	28	49	77	0	2	109	89	79	6	173	643	668	648	22	39	12	28	112	9	1	11.11%	13	1	92.31%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
16	Islanders	2	1	0	0	0	0	1	0	10	4	6	1	1	0	0	0	0	0	0	6	1	5	1	0	0	0	0	0	1	0	4	3	1	4	1.000	10	18	28	0	0	109	89	79	6	70	643	668	648	22	23	2	14	42	2	0	0.00%	7	0	100.00%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
17	Marlies	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	3	6	9	0	0	109	89	79	6	28	643	668	648	22	34	22	24	31	16	3	18.75%	12	0	100.00%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
18	Monsters	2	1	1	0	0	0	0	0	3	3	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	1	0	1	2	0.500	3	5	8	0	1	109	89	79	6	31	643	668	648	22	41	14	26	38	15	1	6.67%	12	0	100.00%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
19	Penguins	2	1	0	0	1	0	0	0	6	4	2	1	0	0	0	1	0	0	0	5	4	1	1	1	0	0	0	0	0	0	1	0	1	4	1.000	6	12	18	0	1	109	89	79	6	59	643	668	648	22	36	6	20	42	10	1	10.00%	10	1	90.00%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
20	Phantoms	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	4	2	2	2	0.500	6	10	16	0	0	109	89	79	6	46	643	668	648	22	42	10	42	36	15	4	26.67%	17	3	82.35%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
21	Reign	2	1	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	3	2	1	2	0.500	4	8	12	0	0	109	89	79	6	21	643	668	648	22	35	8	30	34	10	1	10.00%	14	3	78.57%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
22	Roadrunners	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	5	10	15	0	0	109	89	79	6	44	643	668	648	22	32	11	30	34	12	1	8.33%	15	1	93.33%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
23	Rocket	2	1	0	0	1	0	0	0	4	2	2	1	0	0	0	1	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	4	8	12	0	0	109	89	79	6	26	643	668	648	22	40	17	36	37	5	0	0.00%	17	2	88.24%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
24	Senators	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	6	12	18	0	0	109	89	79	6	34	643	668	648	22	31	16	28	45	10	3	30.00%	14	1	92.86%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
25	Silver Knights	4	2	2	0	0	0	0	0	8	8	0	2	1	1	0	0	0	0	0	4	3	1	2	1	1	0	0	0	0	0	4	5	-1	4	0.500	8	12	20	0	1	109	89	79	6	47	643	668	648	22	73	17	58	66	12	1	8.33%	27	3	88.89%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
26	Stars	4	4	0	0	0	0	0	0	22	6	16	2	2	0	0	0	0	0	0	11	2	9	2	2	0	0	0	0	0	0	11	4	7	8	1.000	22	40	62	0	0	109	89	79	6	142	643	668	648	22	58	17	40	78	18	5	27.78%	20	1	95.00%	1	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
27	Thunderbirds	5	2	2	0	0	0	0	1	11	16	-5	3	1	2	0	0	0	0	0	6	12	-6	2	1	0	0	0	0	0	1	5	4	1	5	0.500	11	20	31	0	0	109	89	79	6	81	643	668	648	22	115	35	100	119	27	1	3.70%	46	6	86.96%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
28	Wild	4	1	3	0	0	0	0	0	5	11	-6	2	1	1	0	0	0	0	0	3	3	0	2	0	2	0	0	0	0	0	2	8	-6	2	0.250	5	8	13	0	0	109	89	79	6	48	643	668	648	22	68	27	70	63	24	1	4.17%	34	4	88.24%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
29	Wolf Pack	2	1	1	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	4	1	3	2	0.500	6	12	18	0	0	109	89	79	6	43	643	668	648	22	45	12	35	50	6	1	16.67%	14	2	85.71%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
30	Wolves	2	1	0	0	0	0	1	0	7	2	5	1	0	0	0	0	0	1	0	2	1	1	1	1	0	0	0	0	0	0	5	1	4	4	1.000	7	11	18	0	0	109	89	79	6	43	643	668	648	22	42	13	24	62	4	1	25.00%	12	1	91.67%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
31	Wranglers	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	4	8	12	0	0	109	89	79	6	39	643	668	648	22	42	5	24	30	6	0	0.00%	12	3	75.00%	0	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
	Total	82	46	27	0	4	2	2	1	283	171	112	41	23	14	0	2	1	1	0	138	81	57	41	23	13	0	2	1	1	1	145	90	55	107	0.652	283	512	795	0	13	109	89	79	6	1972	643	668	648	22	1403	429	1108	1655	376	54	14.36%	512	63	87.70%	5	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
	_Since Last GM Reset	82	46	27	0	4	2	2	1	283	171	112	41	23	14	0	2	1	1	0	138	81	57	41	23	13	0	2	1	1	1	145	90	55	107	0.652	283	512	795	0	13	109	89	79	6	1972	643	668	648	22	1403	429	1108	1655	376	54	14.36%	512	63	87.70%	5	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
	_Vs Conference	47	29	16	0	0	1	0	1	180	95	85	24	15	8	0	0	1	0	0	89	44	45	23	14	8	0	0	0	0	1	91	51	40	60	0.638	180	330	510	0	9	109	89	79	6	1228	643	668	648	22	774	223	631	929	205	26	12.68%	295	36	87.80%	4	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522
	_Vs Division	25	23	9	0	0	0	0	1	105	48	57	13	12	5	0	0	0	0	0	51	22	29	12	11	4	0	0	0	0	1	54	26	28	47	0.940	105	193	298	0	3	109	89	79	6	702	643	668	648	22	395	132	334	516	115	10	8.70%	159	16	89.94%	3	1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%	2364	1740	1626	530	959	522

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	107	W1	283	512	795	1972	1403	429	1108	1655	0	13

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	46	27	4	2	2	1	283	171

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	23	14	2	1	1	0	138	81

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	23	13	2	1	1	1	145	90

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	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
376	54	14.36%	512	63	87.70%	5

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
643	668	648	22	109	89	79	6

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1295	2162	59.90%	1033	1939	53.27%	719	1181	60.88%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2364	1740	1626	530	959	522

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1 - 2024-10-18	2	Thunderbirds	1	Moose	2	BW			BoxScore
4 - 2024-10-21	34	Crunch	1	Moose	3	BW			BoxScore
6 - 2024-10-23	51	Moose	7	Ice Hogs	0	AW			BoxScore
7 - 2024-10-24	57	Moose	2	Checkers	1	AW	X		BoxScore
10 - 2024-10-27	75	Silver Knights	3	Moose	2	BL			BoxScore
12 - 2024-10-29	84	Moose	1	Thunderbirds	2	AL	X	X	BoxScore
14 - 2024-10-31	106	Stars	1	Moose	3	BW			BoxScore
16 - 2024-11-02	117	Moose	6	Stars	3	AW			BoxScore
18 - 2024-11-04	136	Moose	7	Firebirds	2	AW			BoxScore
20 - 2024-11-06	147	Admirals	0	Moose	6	BW			BoxScore
24 - 2024-11-10	169	Moose	4	Americans	3	AW			BoxScore
25 - 2024-11-11	182	Wild	1	Moose	2	BW			BoxScore
28 - 2024-11-14	203	Ice Hogs	1	Moose	7	BW			BoxScore
30 - 2024-11-16	214	Moose	1	Silver Knights	4	AL			BoxScore
33 - 2024-11-19	232	Moose	2	Griffins	4	AL			BoxScore
35 - 2024-11-21	245	Thunderbirds	4	Moose	0	BL			BoxScore
38 - 2024-11-24	264	Moose	4	Wolf Pack	1	AW			BoxScore
39 - 2024-11-25	277	Thunderbirds	7	Moose	4	BL			BoxScore
42 - 2024-11-28	299	Moose	3	Silver Knights	1	AW			BoxScore
44 - 2024-11-30	308	Bruins	1	Moose	3	BW			BoxScore
46 - 2024-12-02	332	Admirals	1	Moose	8	BW			BoxScore
49 - 2024-12-05	356	Wild	2	Moose	1	BL			BoxScore
53 - 2024-12-09	380	Moose	8	Ice Hogs	1	AW			BoxScore
54 - 2024-12-10	392	Stars	1	Moose	8	BW			BoxScore
57 - 2024-12-13	413	Moose	5	Stars	1	AW			BoxScore
58 - 2024-12-14	424	Marlies	3	Moose	1	BL			BoxScore
62 - 2024-12-18	448	Condors	3	Moose	2	BL	X		BoxScore
66 - 2024-12-22	475	Moose	1	Barracuda	3	AL			BoxScore
67 - 2024-12-23	483	Wranglers	2	Moose	1	BL			BoxScore
70 - 2024-12-26	506	Moose	2	Marlies	3	AL			BoxScore
71 - 2024-12-27	514	Ice Hogs	0	Moose	6	BW			BoxScore
74 - 2024-12-30	532	Moose	1	Monsters	0	AW			BoxScore
76 - 2025-01-01	547	Rocket	1	Moose	2	BW	X		BoxScore
78 - 2025-01-03	565	Moose	5	Gulls	0	AW			BoxScore
80 - 2025-01-05	577	Islanders	1	Moose	6	BW			BoxScore
82 - 2025-01-07	590	Moose	2	Checkers	3	AL	X		BoxScore
84 - 2025-01-09	603	Moose	2	Comets	1	AW	X		BoxScore
86 - 2025-01-11	616	Moose	2	Griffins	4	AL			BoxScore
87 - 2025-01-12	624	Wolves	1	Moose	2	BW	X	X	BoxScore
90 - 2025-01-15	645	Reign	5	Moose	1	BL			BoxScore
93 - 2025-01-18	662	Moose	4	Islanders	3	AW	X	X	BoxScore
95 - 2025-01-20	673	Moose	1	Penguins	0	AW			BoxScore
96 - 2025-01-21	686	Gulls	0	Moose	3	BW			BoxScore
99 - 2025-01-24	704	Moose	3	Reign	2	AW			BoxScore
100 - 2025-01-25	718	Bears	1	Moose	5	BW			BoxScore
105 - 2025-01-30	745	Barracuda	0	Moose	5	BW			BoxScore
107 - 2025-02-01	755	Moose	4	Eagles	5	AL			BoxScore
108 - 2025-02-02	771	Eagles	1	Moose	0	BL			BoxScore
110 - 2025-02-04	785	Moose	4	Thunderbirds	2	AW			BoxScore
113 - 2025-02-07	805	Monsters	3	Moose	2	BL			BoxScore
114 - 2025-02-08	818	Moose	3	Wranglers	5	AL			BoxScore
117 - 2025-02-11	836	Wolf Pack	4	Moose	2	BL			BoxScore
120 - 2025-02-14	862	Moose	6	Bears	0	AW			BoxScore
121 - 2025-02-15	871	Moose	2	Crunch	4	AL			BoxScore
123 - 2025-02-17	880	Checkers	4	Moose	3	BL			BoxScore
126 - 2025-02-20	906	Canucks	2	Moose	1	BL			BoxScore
128 - 2025-02-22	926	Moose	3	Canucks	4	AL			BoxScore
129 - 2025-02-23	935	Moose	2	Condors	1	AW			BoxScore
130 - 2025-02-24	945	Phantoms	5	Moose	2	BL			BoxScore
134 - 2025-02-28	967	Griffins	2	Moose	3	BW			BoxScore
137 - 2025-03-03	985	Moose	8	Admirals	1	AW			BoxScore
139 - 2025-03-05	998	Silver Knights	0	Moose	2	BW			BoxScore
141 - 2025-03-07	1007	Moose	2	Rocket	1	AW			BoxScore
143 - 2025-03-09	1025	Moose	8	Firebirds	0	AW			BoxScore
145 - 2025-03-11	1036	Penguins	4	Moose	5	BW	X		BoxScore
148 - 2025-03-14	1058	Moose	7	Bruins	5	AW			BoxScore
149 - 2025-03-15	1071	Americans	4	Moose	2	BL			BoxScore
152 - 2025-03-18	1094	Americans	4	Moose	8	BW			BoxScore
153 - 2025-03-19	1104	Moose	0	Americans	4	AL			BoxScore
155 - 2025-03-21	1121	Moose	4	Phantoms	2	AW			BoxScore
157 - 2025-03-23	1134	Comets	0	Moose	2	BW			BoxScore
160 - 2025-03-26	1156	Senators	1	Moose	3	BW			BoxScore
163 - 2025-03-29	1181	Moose	8	Admirals	1	AW			BoxScore
164 - 2025-03-30	1186	Moose	1	Roadrunners	2	AL			BoxScore
166 - 2025-04-01	1197	Firebirds	0	Moose	6	BW			BoxScore
169 - 2025-04-04	1221	Roadrunners	2	Moose	4	BW			BoxScore
173 - 2025-04-08	1250	Crunch	3	Moose	4	BW			BoxScore
175 - 2025-04-10	1260	Moose	1	Wild	6	AL			BoxScore
178 - 2025-04-13	1277	Moose	3	Senators	2	AW			BoxScore
180 - 2025-04-15	1284	Firebirds	1	Moose	6	BW			BoxScore
181 - 2025-04-16	1289	Moose	1	Wild	2	AL			BoxScore
182 - 2025-04-17	1297	Moose	5	Wolves	1	AW			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	33	0
Attendance	81,541	38,748
Attendance PCT	99.44%	94.51%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2934 - 97.80%	65,631$	2,690,853$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
3,038,725$	1,822,000$	1,822,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
9,796$	2,113,733$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	14,769$	0$

Moose 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

Moose 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

Moose 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

Moose 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

Moose 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

	Moose
	GP: 82 \| W: 52 \| L: 27 \| OTL: 3 \| P: 107 GF: 283 \| GA: 171 \| PP%: 14.36% \| PK%: 87.70% GM : Mika \| Morale : 50 \| Team Overall : 59