MANHATTAN ISLANDERS
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats

Game Center
	PINCHER CREEK WOLVERINES 6-4-0, 12pts	3	FINAL	1	MANHATTAN SWEDES 0-4-0, 0pts

Team Stats
L2	Streak	L4
2-3-0	Home Record	0-2-0
4-1-0	Home Record	0-2-0
6-4-0	Last 10 Games	0-4-0
3.40	Goals Per Game	2.50
3.40	Goals Against Per Game	4.25
25.00%	Power Play Percentage	20.00%
61.90%	Penalty Kill Percentage	72.73%

PINCHER CREEK WOLVERINES
6-4-0, 12pts

FINAL

MANHATTAN SWEDES
0-4-0, 0pts

Team Stats
L2	Streak	L4
2-3-0	Home Record	0-2-0
4-1-0	Home Record	0-2-0
6-4-0	Last 10 Games	0-4-0
3.40	Goals Per Game	2.50
3.40	Goals Against Per Game	4.25
25.00%	Power Play Percentage	20.00%
61.90%	Penalty Kill Percentage	72.73%

Team Leaders
	Goals Colby Barlow 3	Assists Alex Turcotte 4

	Points Alex Turcotte 4	Plus/Minus Jordan Spence 1

	Wins Spencer Knight 0	Save Percentage Spencer Knight 0.873

Team Stats
Goals For 10 2.50 GFG	Shots For 103 25.75 Avg	Power Play Percentage 20.0% 1 GF	Offensive Zone Start 34.2%
Goals Against 17 4.25 GAA	Shots Against 134 33.50 Avg	Penalty Kill Percentage 72.7%% 3 GA	Defensive Zone Start 39.7%

Team Info
	General Manager	Mark S
	Coach	Alex Tanguay
	Division	Smythe
	Conference	Rosling Conference
	Captain	Alex Turcotte
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	3,000
	Season Tickets	300
Roster Info
	Pro Team	44
	Farm Team	20
	Contract Limit	64 / 66
	Prospects	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	Alex Turcotte (R) (C)	X				100.00	41	17	68	87	82	89	89	77	80	78	74	70	61	75	92	0	68	74	1	24	2	825,000$
2	Isac Lundeström (R)	X	X	X		100.00	15	1	98	84	89	96	93	74	65	72	65	56	56	99	77	0	71	70	2	25	1	800,000$
3	Juraj Slafkovský (R)		X			100.00	47	13	60	82	80	84	80	69	55	71	69	65	56	78	60	0	71	68	1	21	2	900,000$
4	Joe Veleno (R)	X	X			100.00	59	9	91	79	85	79	85	63	46	66	61	57	70	76	72	0	61	66	2	25	1	650,000$
5	Aleksi Saarela	X				100.00	1	1	99	65	76	85	78	72	69	73	71	43	55	85	73	0	71	64	2	28	1	650,000$
6	Colby Barlow (R)		X			100.00	50	39	73	68	73	69	65	67	42	60	68	63	68	56	72	0	71	63	1	20	3	900,000$
7	William Eklund (R)	X	X			100.00	18	7	82	84	81	74	85	63	56	59	57	59	63	75	71	0	71	63	1	22	1	800,000$
8	Mavrik Bourque (R)	X				100.00	28	17	91	75	73	76	79	63	57	58	63	59	57	75	69	0	71	63	1	23	5	800,000$
9	Fedor Svechkov (R)	X				100.00	24	1	99	65	77	73	67	62	67	61	57	61	55	67	65	0	26	60	1	22	1	700,000$
10	Oskar Pettersson (R)			X		100.00	6	1	95	71	73	72	70	60	58	58	59	58	55	65	66	0	71	60	2	20	2	700,000$
11	Sam Colangelo (R)			X		100.00	37	23	69	64	79	63	68	60	54	65	58	52	58	64	58	0	36	59	2	23	5	700,000$
12	Olli Juolevi				X	100.00	62	12	88	76	77	90	90	76	25	58	63	55	50	89	72	0	71	68	1	27	1	750,000$
13	Griffin Reinhart				X	100.00	50	20	86	59	83	66	79	79	41	68	61	60	46	88	83	0	71	66	2	31	3	883,000$
14	Logan Mailloux (R)				X	100.00	71	47	53	76	82	65	69	60	39	60	54	61	48	62	73	0	71	64	1	22	1	700,000$
15	Alexander Alexeyev (R)				X	100.00	55	1	99	78	77	78	67	53	33	59	51	63	66	71	67	0	59	64	2	25	1	650,000$
16	Jordan Spence (R)				X	100.00	51	74	50	77	76	73	82	49	44	56	46	66	45	59	58	0	68	63	2	24	2	500,000$
17	Gabriel Carlsson				X	100.00	30	1	99	70	79	90	86	58	41	64	42	49	40	86	74	0	71	62	1	28	4	665,000$
18	Maxim Štrbák (R)				X	100.00	55	26	69	70	59	69	67	60	44	62	60	67	52	61	67	0	50	62	2	20	3	800,000$
19	Sam Rinzel (R)				X	100.00	14	12	80	72	74	66	72	62	44	60	56	66	50	70	68	0	38	61	1	20	2	800,000$
Scratches
1	Frank Nazar (R)	X				100.00	7	7	83	84	70	75	81	63	72	63	63	61	58	59	67	0	48	63	1	21	2	900,000$
2	Noah Östlund (R)	X				100.00	5	1	94	70	68	61	69	62	66	61	60	64	66	71	75	0	21	60	1	21	2	800,000$
3	Dylan James (R)		X			100.00	13	14	91	72	72	67	72	62	46	62	59	61	56	63	69	0	21	60	2	20	2	800,000$
4	Carey Terrance (R)	X				100.00	28	39	93	70	69	62	70	62	71	59	60	62	59	63	60	0	21	60	2	20	3	600,000$
5	Alexander Suzdalev (R)		X			100.00	32	17	78	70	71	70	68	62	55	60	57	58	54	63	64	0	21	60	2	20	2	500,000$
6	Rodion Amirov (R)	X	X			100.00	5	1	95	73	71	71	77	56	55	58	53	59	59	73	73	0	21	59	1	23	4	800,000$
7	Jan Myšák (R)	X	X			100.00	14	10	95	68	71	65	74	61	61	58	56	61	58	68	76	0	21	59	2	22	3	600,000$
8	Cole Huckins (R)	X				100.00	27	27	59	71	74	67	64	61	66	59	58	57	54	58	65	0	21	59	2	21	1	500,000$
9	Vladi Firstov (R)		X			100.00	11	6	94	67	74	61	64	60	48	61	55	59	56	64	71	0	21	58	2	23	2	600,000$
10	Danny Zhilkin (R)	X				100.00	28	24	77	72	72	64	69	56	58	54	53	60	55	61	66	0	21	58	2	20	2	500,000$
11	Dominik Bokk (R)		X	X		100.00	33	26	76	67	75	67	77	59	53	53	54	55	55	77	68	0	21	58	2	25	1	650,000$
12	Ty Smilanic (R)	X				100.00	38	10	72	69	75	63	62	60	61	52	54	54	58	61	58	0	21	57	2	22	3	600,000$
13	Timothy Liljegren				X	100.00	54	1	86	68	77	69	74	55	35	48	51	55	56	93	74	0	21	61	1	26	5	716,750$
14	Gustav Lindstrom				X	100.00	48	6	93	68	75	73	74	49	44	54	44	58	48	74	71	0	21	60	2	26	3	600,000$
15	Artyom Grushnikov (R)				X	100.00	42	11	81	58	79	63	72	53	40	58	51	65	44	64	64	0	21	59	2	21	1	550,000$
16	Anttoni Honka (R)				X	100.00	37	1	97	68	74	63	63	57	44	57	52	60	48	59	68	0	21	59	2	24	2	500,000$
17	Tyson Hinds (R)				X	100.00	54	67	78	63	77	67	59	57	44	58	54	59	33	63	63	0	21	59	2	21	1	500,000$
18	Aram Minnetian (R)				X	100.00	18	1	79	67	69	67	65	63	44	59	58	62	50	59	65	0	21	58	2	20	3	700,000$
19	Samuel Bolduc (R)				X	100.00	50	47	64	65	78	55	62	57	44	57	56	59	46	60	65	0	21	58	2	23	2	550,000$
20	Gavin McCarthy (R)				X	100.00	37	70	70	63	68	63	64	60	46	65	59	60	48	56	59	0	21	58	2	19	3	500,000$

	TEAM AVERAGE					100.00	33	18	82	71	75	71	73	62	52	61	57	59	54	69	69	0	42	62

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	Spencer Knight (R)	100.00	69	78	77	80	75	82	83	81	83	68	60	83	85	0	76	77	1	24	4	775,000$
2	Magnus Hellberg	100.00	66	72	69	75	72	76	84	78	80	63	59	99	81	0	76	74	1	34	4	1,430,000$
Scratches
1	Benjamin Gaudreau (R)	100.00	62	61	63	79	68	62	64	61	63	64	60	69	67	0	23	64	2	22	1	600,000$
2	Alexei Kolosov (R)	100.00	60	63	69	82	68	61	64	58	57	65	68	70	63	0	23	63	2	23	1	600,000$
3	Mason Beaupit (R)	100.00	68	64	62	75	68	59	58	59	56	62	58	60	61	0	23	61	2	21	2	600,000$

	TEAM AVERAGE	100.00	65	68	68	78	70	68	71	67	68	64	61	76	71	0	44	68

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Alex Tanguay	75	70	84	80	83	83	62	CAN	44	2	1,200,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	FO%	FOT	GA	TA	HT	P/20	S2	S3
1	Alex Turcotte	MANHATTAN SWEDES (MAN)	C	4	0	4	4	-3	4	10	8	15	12	8	0%	2	106	26.65	0	0	0	0	3	0	0	0	1	7	49.61%	129	10	1	0	0.75	0	0
2	Aleksi Saarela	MANHATTAN SWEDES (MAN)	C	4	0	4	4	-1	0	1	7	10	4	11	0%	0	82	20.59	0	0	0	0	0	0	1	1	0	4	49.15%	59	3	1	0	0.97	0	0
3	Colby Barlow	MANHATTAN SWEDES (MAN)	LW	4	3	0	3	-1	2	2	5	9	2	2	33.33%	2	57	14.37	1	0	1	1	3	0	0	0	1	3	0%	0	2	1	0	1.04	0	1
4	Oskar Pettersson	MANHATTAN SWEDES (MAN)	RW	4	3	0	3	-2	2	2	11	5	2	4	60.00%	1	77	19.38	0	0	0	0	3	0	0	0	0	0	50.00%	2	1	1	1	0.77	1	0
5	Isac Lundeström	MANHATTAN SWEDES (MAN)	C/LW/RW	4	3	0	3	-2	0	1	8	19	8	10	15.79%	4	90	22.59	0	0	0	0	3	0	0	0	0	0	0%	4	3	0	0	0.66	0	0
6	Juraj Slafkovský	MANHATTAN SWEDES (MAN)	LW	4	0	2	2	-2	6	10	8	17	8	8	0%	2	98	24.74	0	0	0	0	3	0	0	0	2	8	50.00%	6	5	1	0	0.40	0	0
7	Griffin Reinhart	MANHATTAN SWEDES (MAN)	D	4	1	1	2	-3	2	3	7	1	4	3	100.00%	7	97	24.35	0	0	0	0	4	1	0	1	1	8	0%	0	0	1	0	0.41	0	0
8	Joe Veleno	MANHATTAN SWEDES (MAN)	C/LW	4	0	2	2	-2	2	7	5	9	5	4	0%	0	80	20.10	0	1	1	1	3	0	0	0	0	2	0%	4	3	2	0	0.50	0	0
9	Jordan Spence	MANHATTAN SWEDES (MAN)	D	4	0	2	2	1	4	3	8	3	1	0	0%	8	84	21.21	0	0	0	0	2	0	0	0	0	0	0%	0	0	2	0	0.47	0	0
10	Olli Juolevi	MANHATTAN SWEDES (MAN)	D	4	0	1	1	-2	0	9	7	6	4	3	0%	6	111	27.91	0	1	1	1	4	0	0	0	0	10	0%	0	0	6	0	0.18	0	0
11	William Eklund	MANHATTAN SWEDES (MAN)	C/LW	4	0	1	1	-2	0	2	5	3	2	4	0%	0	56	14.15	0	0	0	0	0	0	0	0	1	5	46.67%	15	1	0	0	0.35	0	0
12	Fedor Svechkov	MANHATTAN SWEDES (MAN)	C	4	0	1	1	-1	0	0	2	3	0	1	0%	1	39	9.84	0	0	0	0	0	0	0	0	0	0	47.06%	17	0	1	0	0.51	0	0
13	Mavrik Bourque	MANHATTAN SWEDES (MAN)	C	4	0	0	0	0	0	0	0	0	0	0	0%	0	1	0.31	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
14	Gabriel Carlsson	MANHATTAN SWEDES (MAN)	D	4	0	0	0	-3	0	1	3	1	0	0	0%	2	51	13.00	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
15	Sam Rinzel	MANHATTAN SWEDES (MAN)	D	4	0	0	0	0	0	0	0	0	0	0	0%	0	2	0.63	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
16	Sam Colangelo	MANHATTAN SWEDES (MAN)	RW	4	0	0	0	0	0	0	0	0	0	0	0%	0	8	2.11	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0	0
17	Maxim Štrbák	MANHATTAN SWEDES (MAN)	D	4	0	0	0	-3	0	1	5	0	0	0	0%	3	58	14.69	0	0	0	0	0	0	0	0	0	6	0%	0	0	4	0	0	0	0
18	Logan Mailloux	MANHATTAN SWEDES (MAN)	D	4	0	0	0	0	0	7	6	2	0	1	0%	5	75	18.79	0	0	0	0	2	0	0	0	0	5	0%	0	2	3	0	0	0	0
19	Alexander Alexeyev	MANHATTAN SWEDES (MAN)	D	4	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.10	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
Team Total or Average				76	10	18	28	-26	22	59	95	103	52	59	9.71%	43	1181	15.55	1	2	3	3	34	1	1	2	6	64	47.68%	237	30	24	1	0.47	1	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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Spencer Knight	MANHATTAN SWEDES (MAN)	4	0	4	0	0.873	4.27	239	0	0	17	134	56	0	0	0	0	4	0	0	0	0
Team Total or Average			4	0	4	0	0.873	4.27	239	0	0	17	134	56	0	0		0	4	0	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	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	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	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10
Aleksi Saarela	MANHATTAN SWEDES (MAN)	C	28	1997-01-07	FIN	No	209 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	650,000$	65,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Alex Turcotte	MANHATTAN SWEDES (MAN)	C	24	2001-02-26	USA	Yes	195 Lbs	6 ft1	No	No	N/A	No	No	2	2025-02-22	False	False	Pro & Farm	825,000$	82,500$	0$	No	825,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Alexander Alexeyev	MANHATTAN SWEDES (MAN)	D	25	1999-11-15	RUS	Yes	208 Lbs	6 ft4	No	No	N/A	No	No	1		False	False	Pro & Farm	650,000$	65,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Alexander Suzdalev	MANHATTAN SWEDES (MAN)	LW	20	2004-06-01	SWE	Yes	182 Lbs	6 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	500,000$	50,000$	0$	No	500,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Alexei Kolosov	MANHATTAN SWEDES (MAN)	G	23	2002-01-04	BEL	Yes	223 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	600,000$	60,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Anttoni Honka	MANHATTAN SWEDES (MAN)	D	24	2000-10-05	FIN	Yes	191 Lbs	6 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	500,000$	50,000$	0$	No	500,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Aram Minnetian	MANHATTAN SWEDES (MAN)	D	20	2005-03-19	USA	Yes	170 Lbs	6 ft0	No	No	Assign Manually	No	No	3	2024-07-06	False	False	Pro & Farm	700,000$	70,000$	0$	No	700,000$	700,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Artyom Grushnikov	MANHATTAN SWEDES (MAN)	D	21	2003-06-01	RUS	Yes	228 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	550,000$	55,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Benjamin Gaudreau	MANHATTAN SWEDES (MAN)	G	22	2003-01-11	CAN	Yes	208 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	600,000$	60,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Carey Terrance	MANHATTAN SWEDES (MAN)	C	20	2005-05-10	USA	Yes	186 Lbs	6 ft1	No	No	Assign Manually	No	No	3	2024-07-08	False	False	Pro & Farm	600,000$	60,000$	0$	No	600,000$	600,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Colby Barlow	MANHATTAN SWEDES (MAN)	LW	20	2005-02-14	CAN	Yes	196 Lbs	6 ft3	No	No	Assign Manually	No	No	3	2024-07-02	False	False	Pro & Farm	900,000$	90,000$	0$	No	900,000$	900,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Cole Huckins	MANHATTAN SWEDES (MAN)	C	21	2003-06-01	CAN	Yes	189 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	500,000$	50,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Danny Zhilkin	MANHATTAN SWEDES (MAN)	C	20	2004-06-01	CAN	Yes	183 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	500,000$	50,000$	0$	No	500,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Dominik Bokk	MANHATTAN SWEDES (MAN)	LW/RW	25	2000-02-03	GER	Yes	197 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	650,000$	65,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dylan James	MANHATTAN SWEDES (MAN)	LW	20	2004-06-01	CAN	Yes	181 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	800,000$	80,000$	0$	No	800,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Fedor Svechkov	MANHATTAN SWEDES (MAN)	C	22	2003-04-05	RUS	Yes	206 Lbs	6 ft4	No	No	N/A	No	No	1		False	False	Pro & Farm	700,000$	70,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Frank Nazar	MANHATTAN SWEDES (MAN)	C	21	2004-01-14	USA	Yes	185 Lbs	5 ft10	No	No	N/A	No	No	2		False	False	Pro & Farm	900,000$	90,000$	0$	No	900,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Gabriel Carlsson	MANHATTAN SWEDES (MAN)	D	28	1997-01-02	SWE	No	207 Lbs	6 ft7	No	No	N/A	No	No	4	2024-06-10	False	False	Pro & Farm	665,000$	66,500$	0$	No	665,000$	665,000$	665,000$	-	-	-	-	-	-	40,000$	40,000$	40,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Gavin McCarthy	MANHATTAN SWEDES (MAN)	D	19	2005-06-01	USA	Yes	204 Lbs	6 ft1	No	No	Assign Manually	No	No	3	2024-07-09	False	False	Pro & Farm	500,000$	50,000$	0$	No	500,000$	500,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Griffin Reinhart	MANHATTAN SWEDES (MAN)	D	31	1994-01-24	CAN	No	233 Lbs	6 ft5	No	No	N/A	No	No	3	2024-06-10	False	False	Pro & Farm	883,000$	88,300$	0$	No	883,000$	883,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Gustav Lindstrom	MANHATTAN SWEDES (MAN)	D	26	1998-06-01	SWE	No	193 Lbs	6 ft1	No	No	N/A	No	No	3	2024-06-16	False	False	Pro & Farm	600,000$	60,000$	0$	No	600,000$	600,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Isac Lundeström	MANHATTAN SWEDES (MAN)	C/LW/RW	25	1999-11-06	SWE	Yes	201 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	800,000$	80,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jan Myšák	MANHATTAN SWEDES (MAN)	C/LW	22	2002-05-24	CZE	Yes	184 Lbs	5 ft10	No	No	N/A	No	No	3	2024-06-10	False	False	Pro & Farm	600,000$	60,000$	0$	No	600,000$	600,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Joe Veleno	MANHATTAN SWEDES (MAN)	C/LW	25	2000-01-13	CAN	Yes	202 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	650,000$	65,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jordan Spence	MANHATTAN SWEDES (MAN)	D	24	2001-02-24	CAN	Yes	208 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	500,000$	50,000$	0$	No	500,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Juraj Slafkovský	MANHATTAN SWEDES (MAN)	LW	21	2004-03-30	SLO	Yes	240 Lbs	6 ft4	No	No	N/A	No	No	2		False	False	Pro & Farm	900,000$	90,000$	0$	No	900,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Logan Mailloux	MANHATTAN SWEDES (MAN)	D	22	2003-04-15	CAN	Yes	224 Lbs	6 ft5	No	No	N/A	No	No	1		False	False	Pro & Farm	700,000$	70,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Magnus Hellberg	MANHATTAN SWEDES (MAN)	G	34	1991-04-04	SWE	No	204 Lbs	6 ft5	No	No	N/A	No	No	4	2025-03-26	False	False	Pro & Farm	1,430,000$	143,000$	0$	No	1,430,000$	1,430,000$	1,430,000$	-	-	-	-	-	-	40,000$	40,000$	40,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Mason Beaupit	MANHATTAN SWEDES (MAN)	G	21	2003-09-23	CAN	Yes	186 Lbs	6 ft5	No	No	N/A	No	No	2		False	False	Pro & Farm	600,000$	60,000$	0$	No	600,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Mavrik Bourque	MANHATTAN SWEDES (MAN)	C	23	2002-01-08	CAN	Yes	194 Lbs	6 ft1	No	No	N/A	No	No	5	2024-06-10	False	False	Pro & Farm	800,000$	80,000$	0$	No	800,000$	800,000$	800,000$	800,000$	-	-	-	-	-	40,000$	40,000$	40,000$	40,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Maxim Štrbák	MANHATTAN SWEDES (MAN)	D	20	2005-04-13	SLO	Yes	102 Lbs	4 ft1	No	No	Assign Manually	No	No	3	2024-07-04	False	False	Pro & Farm	800,000$	80,000$	0$	No	800,000$	800,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Noah Östlund	MANHATTAN SWEDES (MAN)	C	21	2004-03-11	SWE	Yes	167 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	800,000$	80,000$	0$	No	800,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Olli Juolevi	MANHATTAN SWEDES (MAN)	D	27	1998-05-05	FIN	No	202 Lbs	6 ft5	No	No	N/A	No	No	1		False	False	Pro & Farm	750,000$	75,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Oskar Pettersson	MANHATTAN SWEDES (MAN)	RW	20	2004-06-01	SWE	Yes	183 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	700,000$	70,000$	0$	No	700,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Rodion Amirov	MANHATTAN SWEDES (MAN)	C/LW	23	2001-10-02	RUS	Yes	178 Lbs	6 ft0	No	No	N/A	No	No	4	2024-06-10	False	False	Pro & Farm	800,000$	80,000$	0$	No	800,000$	800,000$	800,000$	-	-	-	-	-	-	40,000$	40,000$	40,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Sam Colangelo	MANHATTAN SWEDES (MAN)	RW	23	2001-12-26	USA	Yes	212 Lbs	6 ft4	No	No	N/A	No	No	5	2024-06-10	False	False	Pro & Farm	700,000$	70,000$	0$	No	700,000$	700,000$	700,000$	700,000$	-	-	-	-	-	40,000$	40,000$	40,000$	40,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Sam Rinzel	MANHATTAN SWEDES (MAN)	D	20	2004-06-25	USA	Yes	185 Lbs	6 ft4	No	No	N/A	No	No	2		False	False	Pro & Farm	800,000$	80,000$	0$	No	800,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Samuel Bolduc	MANHATTAN SWEDES (MAN)	D	23	2001-06-01	CAN	Yes	211 Lbs	6 ft4	No	No	N/A	No	No	2		False	False	Pro & Farm	550,000$	55,000$	0$	No	550,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Spencer Knight	MANHATTAN SWEDES (MAN)	G	24	2001-04-19	USA	Yes	205 Lbs	6 ft4	No	No	N/A	No	No	4		False	False	Pro & Farm	775,000$	77,500$	0$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	40,000$	40,000$	40,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Timothy Liljegren	MANHATTAN SWEDES (MAN)	D	26	1999-04-30	SWE	No	214 Lbs	6 ft1	No	No	N/A	No	No	5	2024-06-10	False	False	Pro & Farm	716,750$	71,675$	0$	No	716,750$	716,750$	716,750$	716,750$	-	-	-	-	-	40,000$	40,000$	40,000$	40,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Ty Smilanic	MANHATTAN SWEDES (MAN)	C	22	2002-06-01	USA	Yes	192 Lbs	6 ft3	No	No	N/A	No	No	3	2024-06-10	False	False	Pro & Farm	600,000$	60,000$	0$	No	600,000$	600,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Tyson Hinds	MANHATTAN SWEDES (MAN)	D	21	2003-06-01	CAN	Yes	213 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	500,000$	50,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Vladi Firstov	MANHATTAN SWEDES (MAN)	LW	23	2001-06-19	RUS	Yes	197 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	600,000$	60,000$	0$	No	600,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
William Eklund	MANHATTAN SWEDES (MAN)	C/LW	22	2002-10-12	SWE	Yes	186 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	800,000$	80,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
44	23.00	197 Lbs	6 ft2	2.27	696,472$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Juraj Slafkovský	Alex Turcotte	Isac Lundeström	40	1	2	2
2	Joe Veleno	Aleksi Saarela	Oskar Pettersson	30	1	2	2
3	Colby Barlow	William Eklund	Alex Turcotte	20	1	2	2
4	Juraj Slafkovský	Fedor Svechkov	Isac Lundeström	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Olli Juolevi	Griffin Reinhart	40	1	2	2
2	Logan Mailloux	Jordan Spence	30	1	2	2
3	Gabriel Carlsson	Maxim Štrbák	20	1	2	2
4	Jordan Spence	Olli Juolevi	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Juraj Slafkovský	Alex Turcotte	Isac Lundeström	60	1	2	2
2	Colby Barlow	Joe Veleno	Oskar Pettersson	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Olli Juolevi	Griffin Reinhart	60	1	2	2
2	Logan Mailloux	Jordan Spence	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Alex Turcotte	Juraj Slafkovský	60	1	2	2
2	Joe Veleno	William Eklund	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Olli Juolevi	Griffin Reinhart	60	1	2	2
2	Logan Mailloux	Maxim Štrbák	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Alex Turcotte	60	1	2	2	Olli Juolevi	Griffin Reinhart	60	1	2	2
2	Joe Veleno	40	1	2	2	Logan Mailloux	Maxim Štrbák	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Alex Turcotte	Juraj Slafkovský	60	1	2	2
2	Isac Lundeström	Joe Veleno	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Olli Juolevi	Griffin Reinhart	60	1	2	2
2	Logan Mailloux	Jordan Spence	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Juraj Slafkovský	Alex Turcotte	Isac Lundeström	Olli Juolevi	Griffin Reinhart

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Juraj Slafkovský	Alex Turcotte	Isac Lundeström	Olli Juolevi	Griffin Reinhart

Extra Forwards
Normal	PowerPlay	Penalty Kill
Aleksi Saarela, William Eklund, Colby Barlow	Aleksi Saarela, William Eklund	Aleksi Saarela

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Maxim Štrbák, Jordan Spence, Olli Juolevi	Maxim Štrbák	Maxim Štrbák, Jordan Spence

Penalty Shots
Alex Turcotte, Isac Lundeström, Juraj Slafkovský, Joe Veleno, Aleksi Saarela

Goalie
#1 : Spencer Knight, #2 : Magnus Hellberg

Custom OT Lines Forwards
Alex Turcotte, Isac Lundeström, Juraj Slafkovský, Joe Veleno, Aleksi Saarela, William Eklund, Colby Barlow, Sam Colangelo, Mavrik Bourque, Oskar Pettersson

Custom OT Lines Defensemen
Olli Juolevi, Griffin Reinhart, Logan Mailloux, Maxim Štrbák, Gabriel Carlsson

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	PINCHER CREEK WOLVERINES	4	0	4	0	0	0	0	0	10	17	-7	2	0	2	0	0	0	0	0	3	8	-5	2	0	2	0	0	0	0	0	7	9	-2	0	0.000	10	18	28	0	0	2	5	3	0	103	27	35	41	0	134	43	22	59	5	1	20.00%	11	3	72.73%	1	39	81	48.15%	45	94	47.87%	29	62	46.77%	74	38	93	36	72	35
	Total	4	0	4	0	0	0	0	0	10	17	-7	2	0	2	0	0	0	0	0	3	8	-5	2	0	2	0	0	0	0	0	7	9	-2	0	0.000	10	18	28	0	0	2	5	3	0	103	27	35	41	0	134	43	22	59	5	1	20.00%	11	3	72.73%	1	39	81	48.15%	45	94	47.87%	29	62	46.77%	74	38	93	36	72	35
	_Since Last GM Reset	4	0	4	0	0	0	0	0	10	17	-7	2	0	2	0	0	0	0	0	3	8	-5	2	0	2	0	0	0	0	0	7	9	-2	0	0.000	10	18	28	0	0	2	5	3	0	103	27	35	41	0	134	43	22	59	5	1	20.00%	11	3	72.73%	1	39	81	48.15%	45	94	47.87%	29	62	46.77%	74	38	93	36	72	35
	_Vs Conference	4	0	4	0	0	0	0	0	10	17	-7	2	0	2	0	0	0	0	0	3	8	-5	2	0	2	0	0	0	0	0	7	9	-2	0	0.000	10	18	28	0	0	2	5	3	0	103	27	35	41	0	134	43	22	59	5	1	20.00%	11	3	72.73%	1	39	81	48.15%	45	94	47.87%	29	62	46.77%	74	38	93	36	72	35

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
4	0	L4	10	18	28	103	134	43	22	59	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	10	17

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	3	8

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	7	9

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	4	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
5	1	20.00%	11	3	72.73%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
27	35	41	0	2	5	3	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
39	81	48.15%	45	94	47.87%	29	62	46.77%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
74	38	93	36	72	35

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	Link
2	6	MANHATTAN SWEDES	2	PINCHER CREEK WOLVERINES	3	L	BoxScore
4	14	MANHATTAN SWEDES	5	PINCHER CREEK WOLVERINES	6	L	BoxScore
6	22	PINCHER CREEK WOLVERINES	3	MANHATTAN SWEDES	1	L	BoxScore
8	30	PINCHER CREEK WOLVERINES	5	MANHATTAN SWEDES	2	L	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	4,000	2,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
40	3000 - 100.00%	85,000$	170,000$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	3,064,475$	3,064,475$	1,200,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	44	0

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

MANHATTAN SWEDES 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

MANHATTAN SWEDES 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

MANHATTAN SWEDES 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

MANHATTAN SWEDES 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

MANHATTAN SWEDES 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

	MANHATTAN SWEDES
	GP: 4 \| W: 0 \| L: 4 GF: 10 \| GA: 17 \| PP%: 20.00% \| PK%: 72.73% GM : Mark S \| Morale : 19 \| Team Overall : 62