San Jose Sharks
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Game Center
	San Diego Spartans 12-5-0, 24pts	3	FINAL	6	Cleveland Monsters 7-5-0, 14pts

Team Stats
W2	Streak	OTL1
8-1-0	Home Record	5-0-0
4-4-0	Home Record	2-5-0
6-4-0	Last 10 Games	6-3-1
4.00	Goals Per Game	3.00
2.71	Goals Against Per Game	2.83
23.68%	Power Play Percentage	17.02%
85.33%	Penalty Kill Percentage	80.43%

Cleveland Monsters
7-5-0, 14pts

FINAL

San Diego Spartans
12-5-0, 24pts

Team Stats
OTL1	Streak	W2
5-0-0	Home Record	8-1-0
2-5-0	Home Record	4-4-0
6-3-1	Last 10 Games	6-4-0
3.00	Goals Per Game	4.00
2.83	Goals Against Per Game	2.71
17.02%	Power Play Percentage	23.68%
80.43%	Penalty Kill Percentage	85.33%

Team Leaders
	Goals Jason Zucker 8	Assists Jason Zucker 9

	Points Jason Zucker 17	Plus/Minus Jason Zucker 6

	Wins Ilya Samsonov 5	Save Percentage Martin Jones 0.909

Team Stats
Goals For 36 3.00 GFG	Shots For 344 28.67 Avg	Power Play Percentage 17.0% 8 GF	Offensive Zone Start 35.9%
Goals Against 34 2.83 GAA	Shots Against 357 29.75 Avg	Penalty Kill Percentage 80.4%% 9 GA	Defensive Zone Start 40.8%

Team Info
	General Manager	Mike Chontos
	Coach	Mike Rupp
	Division	Adams
	Conference	West
	Captain	Kaapo Kakko
	Assistant #1	Shane Wright
	Assistant #2	David Jiricek
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	40
	Farm Team	18
	Contract Limit	58 / 250
	Prospects	3
Team History
	This Season	7-5
	History	0-0-0

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

#	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	Jason Zucker	0		X			100.00	79	54	72	80	75	85	89	84	50	75	79	69	80	87	77	1	28	74	0	31	24	750,000$
2	Kaapo Kakko (R) (C)	0			X		100.00	65	43	92	79	86	85	81	81	40	75	74	72	78	64	54	1	73	72	0	22	24	750,000$
3	Matty Beniers	0	X				100.00	69	43	89	86	78	86	73	81	62	76	75	71	81	56	50	1	19	71	0	21	24	750,000$
4	Gabriel Vilardi (R)	0	X				100.00	66	47	84	76	89	85	78	80	71	72	76	70	77	64	54	1	73	71	0	24	24	750,000$
5	Morgan Geekie (R)	0	X				100.00	75	57	81	75	84	81	81	77	76	76	68	73	74	64	54	1	80	71	0	25	24	750,000$
6	Kent Johnson	0	X				100.00	64	44	84	79	72	78	74	78	53	74	72	64	76	56	50	1	16	68	0	21	24	750,000$
7	Cole Perfetti (R)	0	X	X			100.00	65	47	81	78	77	84	69	76	47	73	66	67	73	56	50	1	69	68	0	21	24	750,000$
8	Oliver Wahlstrom	0			X		100.00	73	60	63	75	86	83	75	76	50	70	69	67	73	64	54	1	41	68	0	23	24	750,000$
9	Drew O'Connor (R)	0		X			100.00	73	47	84	73	84	79	73	71	50	65	64	67	69	59	52	1	74	66	0	25	24	750,000$
10	Paul Cotter (R)	0	X	X			100.00	79	58	80	73	82	77	72	72	48	64	69	66	71	56	50	1	50	66	0	24	24	1$
11	Juuso Parssinen (R)	0	X	X			100.00	72	51	78	71	81	78	68	71	69	72	65	67	69	52	50	1	52	66	0	22	24	750,000$
12	Jansen Harkins	0	X				100.00	69	47	82	74	81	80	75	70	45	63	64	66	69	64	54	1	63	66	0	26	1	0$
13	Oliver Ekman-Larsson	0				X	100.00	67	47	75	74	80	91	89	78	40	77	64	74	72	88	84	1	30	73	0	32	24	750,000$
14	Ville Heinola (R)	0				X	100.00	64	44	63	71	61	61	60	64	40	64	54	69	63	50	50	1	46	61	0	22	24	750,000$
15	David Jiricek (R) (A)	0				X	100.00	60	40	66	68	64	57	57	64	40	64	57	66	63	50	50	1	47	60	0	20	24	750,000$
16	Kaedan Korczak (R)	0				X	100.00	61	52	62	67	65	62	61	61	40	56	53	61	60	50	50	1	67	59	0	22	1	0$
17	Olen Zellweger (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	34	49	0	20	24	750,000$
Scratches
1	Filip Hallander (R)	0	X				100.00	50	35	95	82	62	67	70	57	50	45	50	68	55	55	65	99	48	59	0	23	24	750,000$
2	Matej Blumel (R)	0		X	X		100.00	62	40	71	68	64	62	62	64	42	62	60	61	64	51	50	1	28	59	0	23	24	750,000$
3	Nicholas Abruzzese (R)	0	X				100.00	50	35	89	85	52	67	70	55	55	45	54	55	55	55	61	99	19	57	0	24	24	750,000$
4	William Eklund (R)	0	X	X			100.00	56	44	64	67	59	57	57	63	42	62	59	54	63	50	50	1	20	57	0	21	24	750,000$
5	Fabian Lysell (R)	0			X		100.00	56	40	63	67	59	57	57	62	42	62	58	54	62	50	50	1	19	57	0	20	24	750,000$
6	Isak Rosen (R)	0	X	X	X		100.00	56	40	71	68	56	57	57	63	42	62	58	54	63	50	50	1	19	57	0	20	24	750,000$
7	Jonathan Gruden (R)	0		X			100.00	55	61	62	70	59	64	63	62	53	60	58	53	63	51	50	1	23	57	0	23	24	750,000$
8	Martin Pospisil (R)	0	X		X		100.00	60	55	63	68	61	60	58	59	40	55	53	57	60	51	50	1	25	56	0	24	1	0$
9	Samuel Poulin (R)	0			X		100.00	57	35	75	77	64	70	69	49	49	45	52	54	48	60	48	99	20	55	0	22	24	750,000$
10	Ville Koivunen (R)	0	X	X	X		100.00	56	40	68	66	57	54	53	56	47	53	54	54	59	50	50	1	20	54	0	20	24	750,000$
11	Tye Kartye (R)	0	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	20	53	0	22	10	1$
12	Shane Wright (R) (A)	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	20	49	0	19	24	750,000$
13	Isaac Howard (R)	0		X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	20	49	0	19	24	750,000$
14	Jani Nyman (R)	0			X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	20	49	0	19	24	750,000$
15	Jordan Dumais (R)	0			X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	20	49	0	19	24	750,000$
16	Niko Huuhtanen (R)	0			X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	20	49	0	20	24	750,000$
17	Marcus Pettersson	0				X	100.00	76	58	68	78	76	88	84	77	40	77	62	81	73	74	64	1	7	73	0	27	24	750,000$
18	Nick Perbix (R)	0				X	100.00	70	48	73	72	76	78	69	72	40	68	63	71	69	53	50	1	22	66	0	25	24	750,000$
19	Ryan Ufko (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	20	49	0	20	24	750,000$
20	Topias Vilen (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	1	20	49	0	20	24	750,000$

	TEAM AVERAGE						100.00	61	48	69	68	66	67	65	64	49	61	60	61	63	56	53	20	35	60

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

#	Goalie Name	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Ilya Samsonov	0	100.00	87	86	88	89	91	90	87	90	89	88	83	64	57	1	21	83	0	26	24	750,000$
2	Logan Thompson	0	100.00	84	81	81	87	86	86	85	86	86	84	81	59	52	1	80	80	0	26	24	750,000$
Scratches
1	Matt Villalta (R)	0	100.00	75	75	75	81	87	74	68	68	67	69	47	73	70	99	62	72	0	24	24	750,000$

	TEAM AVERAGE		100.00	82	81	81	86	88	83	80	81	81	80	70	65	60	34	54	78

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mike Rupp	80	80	80	80	80	80	80	USA	44	9	1,000,000$

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	FW	FL	FT	S1	S2	S3
1	Jason Zucker	Cleveland Monsters (SJ )	LW	12	8	9	17	6	11	5	27	23	54	22	40	14.81%	9	313	26.09	3	1	4	10	43	1	39	2	2	44.44%	81	20	7	0	0	1.09	0	0	1	2	2	2
2	Matty Beniers	Cleveland Monsters (SJ )	C	9	5	8	13	3	5	5	8	11	32	11	22	15.63%	2	155	17.26	2	2	4	11	37	0	14	0	0	45.10%	255	3	9	0	0	1.67	0	0	1	1	1	0
3	Kaapo Kakko	Cleveland Monsters (SJ )	RW	12	7	6	13	6	0	0	14	22	52	17	23	13.46%	7	302	25.21	0	3	3	5	44	2	40	1	2	38.46%	26	8	5	1	1	0.86	0	0	0	2	2	1
4	Oliver Ekman-Larsson	Cleveland Monsters (SJ )	D	12	2	5	7	4	8	0	17	25	28	3	7	7.14%	17	345	28.76	1	2	3	6	47	0	39	0	0	0%	0	6	10	0	0	0.41	0	0	0	0	0	0
5	Gabriel Vilardi	Cleveland Monsters (SJ )	C	12	4	3	7	1	5	5	12	19	20	13	9	20.00%	7	162	13.56	0	0	0	0	5	0	14	1	0	51.22%	82	1	2	0	0	0.86	0	0	1	1	0	0
6	Marcus Pettersson	Cleveland Monsters (SJ )	D	8	0	5	5	2	19	5	10	11	11	3	2	0%	7	184	23.06	0	1	1	4	28	0	12	0	0	0%	0	6	5	0	0	0.54	0	1	0	0	0	0
7	Drew O'Connor	Cleveland Monsters (SJ )	LW	12	2	3	5	-3	0	0	11	20	16	4	11	12.50%	6	150	12.56	0	0	0	0	0	0	11	0	1	14.29%	7	2	1	0	0	0.66	0	0	0	0	1	1
8	Cole Perfetti	Cleveland Monsters (SJ )	C/LW	12	3	2	5	0	7	5	16	13	25	9	14	12.00%	2	218	18.20	0	2	2	2	29	0	3	0	0	33.33%	9	4	5	0	0	0.46	0	0	1	1	1	0
9	Oliver Wahlstrom	Cleveland Monsters (SJ )	RW	12	0	5	5	0	22	10	32	15	19	8	10	0%	5	216	18.05	0	1	1	1	29	0	0	0	0	50.00%	6	8	6	0	0	0.46	1	0	1	0	0	1
10	Morgan Geekie	Cleveland Monsters (SJ )	C	12	2	3	5	4	7	5	20	26	27	6	11	7.41%	2	235	19.66	1	0	1	7	30	0	17	1	0	57.22%	180	6	1	0	0	0.42	0	0	1	0	0	1
11	Ville Heinola	Cleveland Monsters (SJ )	D	12	0	3	3	1	17	5	14	23	8	4	5	0%	14	267	22.31	0	2	2	1	31	0	27	0	0	0%	0	3	9	0	0	0.22	0	1	0	0	0	0
12	David Jiricek	Cleveland Monsters (SJ )	D	12	2	1	3	-2	17	5	9	16	17	5	7	11.76%	17	244	20.33	1	0	1	3	28	0	22	2	0	0%	0	2	7	0	0	0.25	0	1	0	0	0	1
13	Kaedan Korczak	Cleveland Monsters (SJ )	D	12	0	2	2	1	10	0	14	13	4	4	3	0%	9	201	16.76	0	0	0	0	11	1	26	0	0	0%	0	2	5	0	0	0.20	0	0	0	0	0	0
14	Paul Cotter	Cleveland Monsters (SJ )	C/LW	12	0	2	2	-2	0	0	12	6	7	4	1	0%	1	93	7.79	0	0	0	0	0	0	0	0	0	54.55%	11	1	0	0	0	0.43	0	0	0	0	0	0
15	Kent Johnson	Cleveland Monsters (SJ )	C	9	1	0	1	-4	0	0	12	10	9	4	5	11.11%	1	77	8.60	0	0	0	0	0	0	0	0	0	39.47%	38	0	1	0	0	0.26	0	0	0	0	0	0
16	Nick Perbix	Cleveland Monsters (SJ )	D	4	0	1	1	0	4	0	0	4	0	1	0	0%	4	40	10.21	0	0	0	0	7	0	0	0	0	0%	0	1	0	0	0	0.49	0	0	0	0	0	0
17	Christian Kyrou	San Jose Sharks	D	3	0	0	0	1	2	0	1	2	1	0	0	0%	0	37	12.63	0	0	0	0	1	0	0	0	0	0%	0	0	1	0	0	0	0	0	0	0	0	0
18	Juuso Parssinen	Cleveland Monsters (SJ )	C/LW	12	0	0	0	1	4	0	7	2	3	3	8	0%	2	53	4.48	0	0	0	0	1	0	0	0	0	60.00%	15	0	1	0	0	0	0	0	0	0	0	0
19	Matej Blumel	Cleveland Monsters (SJ )	LW/RW	4	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.04	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0
20	Matthew Phillips	San Jose Sharks	C/RW	3	0	0	0	-1	0	0	2	0	3	2	4	0%	2	41	13.74	0	0	0	0	0	0	0	0	0	100.00%	1	3	0	0	0	0	0	0	0	0	0	0
21	Jansen Harkins	Cleveland Monsters (SJ )	C	12	0	0	0	-3	0	0	2	1	3	0	2	0%	1	56	4.74	0	0	0	0	6	0	0	0	0	60.00%	10	0	2	0	0	0	0	0	0	0	0	0
22	Thomas Bordeleau	San Jose Sharks	C	3	0	0	0	0	0	0	3	1	0	0	0	0%	0	8	2.83	0	0	0	0	1	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0
23	Olen Zellweger	Cleveland Monsters (SJ )	D	9	0	0	0	0	14	10	2	11	5	0	0	0%	6	120	13.44	0	0	0	0	0	0	15	0	0	0%	0	0	3	0	0	0	0	0	2	0	0	0
Team Total or Average				220	36	58	94	15	152	60	245	274	344	123	184	10.47%	121	3528	16.04	8	14	22	50	386	4	285	7	5	48.54%	721	76	80	1	1	0.53	1	3	8	7	7	7

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	GA	SA	SAR	A	PS %	ST	BG	S2
1	Ilya Samsonov	Cleveland Monsters (SJ )	9	5	3	1	0.905	3.07	508	26	275	124	2	0	9	0	1
2	Martin Jones	San Jose Sharks	3	2	1	0	0.909	2.00	180	6	66	33	0	0	3	0	0
3	Logan Thompson	Cleveland Monsters (SJ )	1	0	0	0	0.875	3.64	33	2	16	5	0	0	0	12	0
Team Total or Average			13	7	4	1	0.905	2.83	721	34	357	162	2		12	12	1

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary 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
Cole Perfetti	Cleveland Monsters (SJ )	C/LW	21	1/1/2002	Yes	184 Lbs	5 ft11	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link
David Jiricek	Cleveland Monsters (SJ )	D	20	11/28/2003 3:30:15 AM	Yes	190 Lbs	6 ft3	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
Drew O'Connor	Cleveland Monsters (SJ )	LW	25	6/9/1998	Yes	200 Lbs	6 ft3	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link
Fabian Lysell	Cleveland Monsters (SJ )	RW	20	1/19/2003 3:31:16 AM	Yes	172 Lbs	5 ft10	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
Filip Hallander	Cleveland Monsters (SJ )	C	23	6/29/2000	Yes	190 Lbs	6 ft1	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Link
Gabriel Vilardi	Cleveland Monsters (SJ )	C	24	8/16/1999	Yes	215 Lbs	6 ft3	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link
Ilya Samsonov	Cleveland Monsters (SJ )	G	26	2/22/1997	No	214 Lbs	6 ft3	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link
Isaac Howard	Cleveland Monsters (SJ )	LW	19	3/30/2004 2:46:48 AM	Yes	181 Lbs	5 ft10	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
Isak Rosen	Cleveland Monsters (SJ )	C/LW/RW	20	3/15/2003 2:47:44 AM	Yes	157 Lbs	5 ft11	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
Jani Nyman	Cleveland Monsters (SJ )	RW	19	7/30/2004 2:49:37 AM	Yes	216 Lbs	6 ft3	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
Jansen Harkins	Cleveland Monsters (SJ )	C	26	5/23/1997	No	197 Lbs	6 ft2	No	No	N/A	No	No	1	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jason Zucker	Cleveland Monsters (SJ )	LW	31	1/16/1992	No	192 Lbs	5 ft11	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link
Jonathan Gruden	Cleveland Monsters (SJ )	LW	23	5/4/2000 11:02:23 AM	Yes	172 Lbs	6 ft0	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
Jordan Dumais	Cleveland Monsters (SJ )	RW	19	4/15/2004 2:50:19 AM	Yes	174 Lbs	5 ft9	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
Juuso Parssinen	Cleveland Monsters (SJ )	C/LW	22	2/1/2001 2:51:11 AM	Yes	212 Lbs	6 ft3	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link
Kaapo Kakko	Cleveland Monsters (SJ )	RW	22	2/13/2001	Yes	206 Lbs	6 ft2	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link
Kaedan Korczak	Cleveland Monsters (SJ )	D	22	1/29/2001	Yes	192 Lbs	6 ft3	No	No	N/A	No	No	1	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kent Johnson	Cleveland Monsters (SJ )	C	21	10/18/2002	No	175 Lbs	6 ft0	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link
Logan Thompson	Cleveland Monsters (SJ )	G	26	2/25/1997	No	205 Lbs	6 ft4	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link
Marcus Pettersson	Cleveland Monsters (SJ )	D	27	5/8/1996	No	177 Lbs	6 ft3	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link
Martin Pospisil	Cleveland Monsters (SJ )	C/RW	24	11/19/1999	Yes	172 Lbs	6 ft2	No	No	N/A	No	No	1	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Matej Blumel	Cleveland Monsters (SJ )	LW/RW	23	5/31/2000 2:52:54 AM	Yes	198 Lbs	6 ft0	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
Matt Villalta	Cleveland Monsters (SJ )	G	24	6/3/1999	Yes	190 Lbs	6 ft3	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Link
Matty Beniers	Cleveland Monsters (SJ )	C	21	11/5/2002	No	178 Lbs	6 ft2	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link
Morgan Geekie	Cleveland Monsters (SJ )	C	25	7/20/1998	Yes	200 Lbs	6 ft3	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link
Nicholas Abruzzese	Cleveland Monsters (SJ )	C	24	6/4/1999	Yes	174 Lbs	5 ft10	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
Nick Perbix	Cleveland Monsters (SJ )	D	25	6/15/1998	Yes	191 Lbs	6 ft2	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link
Niko Huuhtanen	Cleveland Monsters (SJ )	RW	20	6/26/2003 3:21:57 AM	Yes	209 Lbs	6 ft2	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
Olen Zellweger	Cleveland Monsters (SJ )	D	20	9/10/2003 3:22:30 AM	Yes	174 Lbs	5 ft10	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
Oliver Ekman-Larsson	Cleveland Monsters (SJ )	D	32	7/17/1991	No	200 Lbs	6 ft2	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link
Oliver Wahlstrom	Cleveland Monsters (SJ )	RW	23	6/13/2000	No	204 Lbs	6 ft2	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link
Paul Cotter	Cleveland Monsters (SJ )	C/LW	24	11/16/1999	Yes	212 Lbs	6 ft2	No	No	N/A	No	No	24	Pro & Farm	1$	0$	0$	No	1$	1$	1$	1$	1$	1$	1$	1$	1$	No	No	No	No	No	No	No	No	No	NHL Link
Ryan Ufko	Cleveland Monsters (SJ )	D	20	5/7/2003 3:23:39 AM	Yes	170 Lbs	5 ft11	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
Samuel Poulin	Cleveland Monsters (SJ )	RW	22	2/25/2001	Yes	208 Lbs	6 ft1	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Link
Shane Wright	Cleveland Monsters (SJ )	C	19	1/5/2004 3:28:48 AM	Yes	198 Lbs	6 ft0	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
Topias Vilen	Cleveland Monsters (SJ )	D	20	4/1/2003 3:25:15 AM	Yes	194 Lbs	5 ft11	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
Tye Kartye	Cleveland Monsters (SJ )	C	22	4/30/2001 2:19:51 PM	Yes	198 Lbs	6 ft1	No	No	N/A	No	No	10	Pro & Farm	1$	0$	0$	No	1$	1$	1$	1$	1$	1$	1$	1$	1$	No	No	No	No	No	No	No	No	No
Ville Heinola	Cleveland Monsters (SJ )	D	22	2/3/2001	Yes	179 Lbs	5 ft11	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
Ville Koivunen	Cleveland Monsters (SJ )	C/LW/RW	20	6/13/2003 3:26:03 AM	Yes	161 Lbs	5 ft11	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No
William Eklund	Cleveland Monsters (SJ )	C/LW	21	10/12/2002	Yes	176 Lbs	5 ft10	No	No	N/A	No	No	24	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
40	22.68	190 Lbs	6 ft1	21.93	656,250$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jason Zucker	Matty Beniers	Kaapo Kakko	40	1	2	2
2	Cole Perfetti	Morgan Geekie	Oliver Wahlstrom	30	1	2	2
3	Drew O'Connor	Gabriel Vilardi	Jason Zucker	20	1	2	2
4	Paul Cotter	Kent Johnson	Kaapo Kakko	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Oliver Ekman-Larsson		40	1	2	2
2	Ville Heinola	David Jiricek	30	1	2	2
3	Kaedan Korczak	Olen Zellweger	20	1	2	2
4	Oliver Ekman-Larsson		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jason Zucker	Matty Beniers	Kaapo Kakko	60	1	2	2
2	Cole Perfetti	Morgan Geekie	Oliver Wahlstrom	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Oliver Ekman-Larsson		60	1	2	2
2	Ville Heinola	David Jiricek	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jason Zucker	Kaapo Kakko	60	1	2	2
2	Matty Beniers	Morgan Geekie	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Oliver Ekman-Larsson		60	1	2	2
2	Ville Heinola	David Jiricek	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jason Zucker	60	1	2	2	Oliver Ekman-Larsson		60	1	2	2
2	Kaapo Kakko	40	1	2	2	Ville Heinola	David Jiricek	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jason Zucker	Kaapo Kakko	60	1	2	2
2	Matty Beniers	Morgan Geekie	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Oliver Ekman-Larsson		60	1	2	2
2	Ville Heinola	David Jiricek	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jason Zucker	Matty Beniers	Kaapo Kakko	Oliver Ekman-Larsson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jason Zucker	Matty Beniers	Kaapo Kakko	Oliver Ekman-Larsson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jansen Harkins, Juuso Parssinen, Gabriel Vilardi	Jansen Harkins, Juuso Parssinen	Gabriel Vilardi

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Kaedan Korczak, Olen Zellweger, Ville Heinola	Kaedan Korczak	Olen Zellweger, Ville Heinola

Penalty Shots
Jason Zucker, Kaapo Kakko, Matty Beniers, Morgan Geekie, Gabriel Vilardi

Goalie
#1 : Ilya Samsonov, #2 : Logan Thompson

Custom OT Lines Forwards
Jason Zucker, Kaapo Kakko, Matty Beniers, Morgan Geekie, Gabriel Vilardi, Oliver Wahlstrom, Oliver Wahlstrom, Kent Johnson, Cole Perfetti, Drew O'Connor, Paul Cotter

Custom OT Lines Defensemen
Oliver Ekman-Larsson, , Ville Heinola, David Jiricek, Kaedan Korczak

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	Rogle BK	5	4	1	0	0	0	0	0	14	9	5	2	2	0	0	0	0	0	0	5	3	2	3	2	1	0	0	0	0	0	9	6	3	8	0.800	14	22	36	0	0	5	13	17	1	151	81	129	129	5	105	42	47	101	12	1	8.33%	16	2	87.50%	0	129	259	49.81%	135	294	45.92%	86	168	51.19%	238	123	252	117	230	116
2	San Diego Spartans	7	3	4	0	0	0	0	0	22	25	-3	3	3	0	0	0	0	0	0	13	7	6	4	0	4	0	0	0	0	0	9	18	-9	6	0.429	22	36	58	0	0	5	13	17	1	193	81	129	129	5	252	79	105	144	35	7	20.00%	30	7	76.67%	0	129	259	49.81%	135	294	45.92%	86	168	51.19%	238	123	252	117	230	116
	Total	12	7	5	0	0	0	0	0	36	34	2	5	5	0	0	0	0	0	0	18	10	8	7	2	5	0	0	0	0	0	18	24	-6	14	0.583	36	58	94	0	0	5	13	17	1	344	81	129	129	5	357	121	152	245	47	8	17.02%	46	9	80.43%	0	129	259	49.81%	135	294	45.92%	86	168	51.19%	238	123	252	117	230	116
	_Since Last GM Reset	12	7	5	0	0	0	0	0	36	34	2	5	5	0	0	0	0	0	0	18	10	8	7	2	5	0	0	0	0	0	18	24	-6	14	0.583	36	58	94	0	0	5	13	17	1	344	81	129	129	5	357	121	152	245	47	8	17.02%	46	9	80.43%	0	129	259	49.81%	135	294	45.92%	86	168	51.19%	238	123	252	117	230	116
	_Vs Conference	12	7	5	0	0	0	0	0	36	34	2	5	5	0	0	0	0	0	0	18	10	8	7	2	5	0	0	0	0	0	18	24	-6	14	0.583	36	58	94	0	0	5	13	17	1	344	81	129	129	5	357	121	152	245	47	8	17.02%	46	9	80.43%	0	129	259	49.81%	135	294	45.92%	86	168	51.19%	238	123	252	117	230	116

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
12	14	OTL1	36	58	94	344	357	121	152	245	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	7	5	0	0	0	0	36	34

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	5	0	0	0	0	0	18	10

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	2	5	0	0	0	0	18	24

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	3	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
47	8	17.02%	46	9	80.43%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
81	129	129	5	5	13	17	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
129	259	49.81%	135	294	45.92%	86	168	51.19%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
238	123	252	117	230	116

Last Played Games 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 Team	Score	Home Team	Score	ST	OT	Link
1	4	Cleveland Monsters	1	Rogle BK	3	AL		BoxScore
2	8	Cleveland Monsters	6	Rogle BK	2	AW		BoxScore
3	12	Rogle BK	1	Cleveland Monsters	2	BW		BoxScore
4	16	Rogle BK	2	Cleveland Monsters	3	BW		BoxScore
5	20	Cleveland Monsters	2	Rogle BK	1	AW	X	BoxScore
8	30	Cleveland Monsters	2	San Diego Spartans	5	AL		BoxScore
9	32	Cleveland Monsters	2	San Diego Spartans	3	AL		BoxScore
10	34	San Diego Spartans	2	Cleveland Monsters	3	BW		BoxScore
11	36	San Diego Spartans	2	Cleveland Monsters	4	BW		BoxScore
12	38	Cleveland Monsters	2	San Diego Spartans	6	AL		BoxScore
13	40	San Diego Spartans	3	Cleveland Monsters	6	BW		BoxScore
14	42	Cleveland Monsters	3	San Diego Spartans	4	AL	X	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
36	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,625,000$	5,286,352$	0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Cleveland Monsters 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

Cleveland Monsters 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

Cleveland Monsters 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

Cleveland Monsters 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

Cleveland Monsters 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

	Cleveland Monsters
	GP: 12 \| W: 7 \| L: 5 GF: 36 \| GA: 34 \| PP%: 17.02% \| PK%: 80.43% GM : Mike Chontos \| Morale : 48 \| Team Overall : 62