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

Game Center
	Palm Springs Navigators 4-2-0, 8pts	4	FINAL	7	Flint Michigan Tropics 2-4-0, 4pts

Team Stats
W1	Streak	OTL1
3-0-0	Home Record	2-1-0
1-2-0	Home Record	0-3-0
4-2-0	Last 10 Games	2-2-2
5.33	Goals Per Game	4.67
4.67	Goals Against Per Game	5.33
27.59%	Power Play Percentage	23.33%
76.67%	Penalty Kill Percentage	72.41%

Flint Michigan Tropics
2-4-0, 4pts

FINAL

Palm Springs Navigators
4-2-0, 8pts

Team Stats
OTL1	Streak	W1
2-1-0	Home Record	3-0-0
0-3-0	Home Record	1-2-0
2-2-2	Last 10 Games	4-2-0
4.67	Goals Per Game	5.33
5.33	Goals Against Per Game	4.67
23.33%	Power Play Percentage	27.59%
72.41%	Penalty Kill Percentage	76.67%

Team Leaders
	Goals Marc McLaughlin 3	Assists Marc McLaughlin 5

	Points Marc McLaughlin 8	Plus/Minus Gustav Rydahl 0

Team Stats
Goals For 28 4.67 GFG	Shots For 350 58.33 Avg	Power Play Percentage 23.3% 7 GF	Offensive Zone Start 44.6%
Goals Against 32 5.33 GAA	Shots Against 306 51.00 Avg	Penalty Kill Percentage 72.4%% 8 GA	Defensive Zone Start 36.7%

Team Info
	General Manager	Louis-Philip Lafrance
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	17
	Farm Team	20
	Contract Limit	37 / 60
	Prospects	20
Team History
	This Season	2-4
	History	51-28-5 (0.607%)
	Playoff Appearances	2
	Playoff Record (W-L)	2-4
	Stanley Cup	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	Elmer Soderblom		X			100.00	66	47	75	60	86	61	57	58	54	63	63	64	57	55	55	0	50	63	0	22	2	675,000$
2	Michael McCarron	X		X		100.00	69	66	76	58	84	59	64	55	81	64	57	71	55	61	58	0	50	63	0	28	1	900,000$
3	Brandon Biro	X				100.00	54	58	67	59	57	63	62	62	70	61	60	61	54	61	56	0	50	60	0	25	1	850,000$
4	Tristen Robins (R)	X				100.00	55	63	68	61	61	67	64	60	55	58	60	58	57	55	53	0	50	60	0	21	3	925,000$
5	Marc McLaughlin	X				100.00	55	58	65	59	64	67	65	59	69	57	59	61	54	59	55	0	50	60	0	24	1	625,000$
6	Gustav Rydahl	X				100.00	55	57	65	58	67	64	63	57	55	56	57	61	54	68	60	0	50	59	0	29	1	900,000$
7	Mitchell Chaffee	X				100.00	55	54	67	56	65	56	56	55	55	54	56	62	54	61	56	0	50	57	0	25	2	700,000$
8	Joel Hanley				X	100.00	67	68	82	61	77	63	66	54	40	70	55	84	54	59	58	0	50	66	0	32	2	930,000$
9	Colton White				X	100.00	64	41	86	59	71	68	67	56	40	70	56	80	54	57	58	0	50	65	0	26	2	950,000$
10	Akito Hirose (R)				X	100.00	57	40	72	60	65	74	57	57	40	78	53	73	54	54	58	0	50	64	0	24	1	625,000$
11	Samuel Bolduc (R)				X	100.00	58	52	71	60	75	66	62	59	40	61	59	61	54	56	55	0	50	61	0	22	2	925,000$
12	Will Butcher				X	100.00	54	55	67	60	61	67	64	61	40	61	56	63	54	66	59	0	50	61	0	28	2	750,000$
13	Justin Lee (R)				X	100.00	54	54	68	54	63	55	55	54	40	54	54	60	54	57	54	0	50	56	0	23	2	625,000$
Scratches
1	Joona Koppanen		X			100.00	55	57	66	59	67	67	64	59	56	59	58	62	59	60	56	0	50	60	0	25	1	800,000$
2	Nate Schnarr	X				100.00	55	55	67	57	63	63	61	55	70	55	56	58	54	59	55	0	50	57	0	24	1	875,000$

	TEAM AVERAGE					100.00	58	55	71	59	68	64	62	57	54	61	57	65	55	59	56	0	50	61

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	Dylan Ferguson	100.00	59	57	57	69	65	56	66	59	58	56	65	60	55	0	50	60	0	25	2	725,000$
2	Strauss Mann (R)	100.00	57	59	59	62	66	57	67	59	57	57	58	60	55	0	50	60	0	25	1	625,000$
Scratches

	TEAM AVERAGE	100.00	58	58	58	66	66	57	67	59	58	57	62	60	55	0	50	60

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

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	PPM	PKS	PKM	FO%	FOT	P/20
1	Marc McLaughlin	Flint Michigan Tropics (EDM)	C	6	3	5	8	-2	2	12	34	32	6	17	9.38%	9	126	21.12	2	2	26	58.17%	153	1.26
2	Gustav Rydahl	Flint Michigan Tropics (EDM)	C	6	2	2	4	0	2	7	6	16	9	15	12.50%	6	71	11.90	0	0	0	50.00%	4	1.12
Team Total or Average				12	5	7	12	-2	4	19	40	48	15	32	10.42%	15	198	16.51	2	2	26	57.96%	157	1.21

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

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	Force Waivers	Waiver Possible	Contract	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Akito Hirose	Flint Michigan Tropics (EDM)	D	24	1999-04-09	Yes	170 Lbs	6 ft0	No	No	No	No	1	Pro & Farm	625,000$	312,500$	0$	0$	No
Brandon Biro	Flint Michigan Tropics (EDM)	C	25	1998-03-11	No	170 Lbs	5 ft11	No	No	No	No	1	Pro & Farm	850,000$	425,000$	0$	0$	No			Link
Colton White	Flint Michigan Tropics (EDM)	D	26	1997-05-03	No	187 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	950,000$	475,000$	0$	0$	No	950,000$		Link
Dylan Ferguson	Flint Michigan Tropics (EDM)	G	25	1998-09-20	No	194 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	725,000$	362,500$	0$	0$	No	725,000$		Link
Elmer Soderblom	Flint Michigan Tropics (EDM)	LW	22	2001-07-05	No	246 Lbs	6 ft8	No	No	No	No	2	Pro & Farm	675,000$	337,500$	0$	0$	No	675,000$		Link
Gustav Rydahl	Flint Michigan Tropics (EDM)	C	29	1994-09-11	No	201 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	900,000$	450,000$	0$	0$	No			Link
Joel Hanley	Flint Michigan Tropics (EDM)	D	32	1991-06-08	No	190 Lbs	5 ft11	No	No	No	No	2	Pro & Farm	930,000$	465,000$	0$	0$	No	930,000$		Link
Joona Koppanen	Flint Michigan Tropics (EDM)	LW	25	1998-02-25	No	216 Lbs	6 ft5	No	No	No	No	1	Pro & Farm	800,000$	400,000$	0$	0$	No			Link
Justin Lee	Flint Michigan Tropics (EDM)	D	23	2000-03-14	Yes	194 Lbs	6 ft0	No	No	No	No	2	Pro & Farm	625,000$	312,500$	0$	0$	No	625,000$
Marc McLaughlin	Flint Michigan Tropics (EDM)	C	24	1999-07-26	No	203 Lbs	6 ft0	No	No	No	No	1	Pro & Farm	625,000$	312,500$	0$	0$	No			Link
Michael McCarron	Flint Michigan Tropics (EDM)	C/RW	28	1995-03-07	No	232 Lbs	6 ft6	No	No	No	No	1	Pro & Farm	900,000$	450,000$	0$	0$	No			Link
Mitchell Chaffee	Flint Michigan Tropics (EDM)	C	25	1998-01-26	No	201 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	700,000$	350,000$	0$	0$	No	700,000$		Link
Nate Schnarr	Flint Michigan Tropics (EDM)	C	24	1999-02-25	No	185 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	875,000$	437,500$	0$	0$	No			Link
Samuel Bolduc	Flint Michigan Tropics (EDM)	D	22	2000-12-09	Yes	220 Lbs	6 ft4	No	No	No	No	2	Pro & Farm	925,000$	462,500$	0$	0$	No	925,000$
Strauss Mann	Flint Michigan Tropics (EDM)	G	25	1998-08-18	Yes	174 Lbs	6 ft0	No	No	No	No	1	Pro & Farm	625,000$	312,500$	0$	0$	No
Tristen Robins	Flint Michigan Tropics (EDM)	C	21	2001-11-15	Yes	176 Lbs	5 ft10	No	No	No	No	3	Pro & Farm	925,000$	462,500$	0$	0$	No	925,000$	925,000$
Will Butcher	Flint Michigan Tropics (EDM)	D	28	1995-01-06	No	190 Lbs	5 ft10	No	No	No	No	2	Pro & Farm	750,000$	375,000$	0$	0$	No	750,000$		Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
17	25.18	197 Lbs	6 ft2	1.59	788,529$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				35	1	2	2
2		Marc McLaughlin		30	1	2	2
3			Gustav Rydahl	25	1	2	2
4			Marc McLaughlin	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			35	1	2	2
2			30	1	2	2
3			25	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2		Marc McLaughlin		40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Marc McLaughlin	60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2	Marc McLaughlin	40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Marc McLaughlin	60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Gustav Rydahl,	, Gustav Rydahl

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, Marc McLaughlin, , ,

Goalie
#1 : , #2 :

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

Custom OT Lines Defensemen
, , , ,

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	Palm Springs Navigators	6	2	4	0	0	0	0	0	28	32	-4	3	2	1	0	0	0	0	0	14	13	1	3	0	3	0	0	0	0	0	14	19	-5	4	0.333	28	53	81	0	0	8	10	10	0	350	94	110	133	13	306	110	58	169	30	7	23.33%	29	8	72.41%	0	155	299	51.84%	121	246	49.19%	67	125	53.60%	158	115	150	40	72	36
	Total	6	2	4	0	0	0	0	0	28	32	-4	3	2	1	0	0	0	0	0	14	13	1	3	0	3	0	0	0	0	0	14	19	-5	4	0.333	28	53	81	0	0	8	10	10	0	350	94	110	133	13	306	110	58	169	30	7	23.33%	29	8	72.41%	0	155	299	51.84%	121	246	49.19%	67	125	53.60%	158	115	150	40	72	36
	_Since Last GM Reset	6	2	4	0	0	0	0	0	28	32	-4	3	2	1	0	0	0	0	0	14	13	1	3	0	3	0	0	0	0	0	14	19	-5	4	0.333	28	53	81	0	0	8	10	10	0	350	94	110	133	13	306	110	58	169	30	7	23.33%	29	8	72.41%	0	155	299	51.84%	121	246	49.19%	67	125	53.60%	158	115	150	40	72	36
	_Vs Conference	6	2	4	0	0	0	0	0	28	32	-4	3	2	1	0	0	0	0	0	14	13	1	3	0	3	0	0	0	0	0	14	19	-5	4	0.333	28	53	81	0	0	8	10	10	0	350	94	110	133	13	306	110	58	169	30	7	23.33%	29	8	72.41%	0	155	299	51.84%	121	246	49.19%	67	125	53.60%	158	115	150	40	72	36

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
6	4	OTL1	28	53	81	350	306	110	58	169	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	4	0	0	0	0	28	32

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	14	13

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	14	19

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	2	0	2	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
30	7	23.33%	29	8	72.41%	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
94	110	133	13	8	10	10	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
155	299	51.84%	121	246	49.19%	67	125	53.60%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
158	115	150	40	72	36

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
2	6	Palm Springs Navigators	6	Flint Michigan Tropics	2	BL		BoxScore
4	14	Palm Springs Navigators	3	Flint Michigan Tropics	5	BW		BoxScore
6	22	Flint Michigan Tropics	4	Palm Springs Navigators	5	AL	X	BoxScore
8	30	Flint Michigan Tropics	5	Palm Springs Navigators	8	AL		BoxScore
10	38	Palm Springs Navigators	4	Flint Michigan Tropics	7	BW		BoxScore
12	46	Flint Michigan Tropics	5	Palm Springs Navigators	6	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
38	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,340,500$	1,175,500$	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$	14	0$	0$

Flint Michigan Tropics 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	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Marc McLaughlin	82	53	63	116	5	105	172	275	434	12.21%	48	1711	20.88	12	19	31	83	4	4	13	8	4	57.63%	1	1.36	1	5
2	Joona Koppanen	68	44	45	89	17	53	165	176	409	10.76%	33	1354	19.92	15	12	27	118	0	0	1	3	3	43.01%	1	1.31	0	2
3	Gustav Rydahl	82	27	30	57	10	65	141	137	244	11.07%	32	1069	13.05	0	0	0	0	0	0	0	4	0	56.32%	0	1.07	1	3
4	Elmer Soderblom	72	18	29	47	17	24	75	84	171	10.53%	3	1166	16.20	3	7	10	37	0	0	1	3	0	59.79%	0	0.81	0	1
5	Nate Schnarr	33	13	21	34	1	16	56	54	90	14.44%	7	503	15.26	5	5	10	34	0	0	0	2	1	51.72%	0	1.35	0	1

Flint Michigan Tropics 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

Flint Michigan Tropics 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
Regular Season
2023	82	47	28	0	2	0	2	3	362	305	57	41	27	10	0	1	0	2	1	186	148	38	41	20	18	0	1	0	0	2	176	157	19	105	362	673	1035	0	1	139	115	104	6	3708	1227	1200	1270	28	3032	897	877	1940	395	87	22.03%	378	71	81.22%	8	1695	3384	50.09%	1458	3003	48.55%	718	1429	50.24%	1937	1385	2050	588	961	458
Total Regular Season	82	47	28	0	2	0	2	3	362	305	57	41	27	10	0	1	0	2	1	186	148	38	41	20	18	0	1	0	0	2	176	157	19	105	362	673	1035	0	1	139	115	104	6	3708	1227	1200	1270	28	3032	897	877	1940	395	87	22.03%	378	71	81.22%	8	1695	3384	50.09%	1458	3003	48.55%	718	1429	50.24%	1937	1385	2050	588	961	458
Playoff
2023	6	2	4	0	0	0	0	0	28	32	-4	3	2	1	0	0	0	0	0	14	13	1	3	0	3	0	0	0	0	0	14	19	-5	4	28	53	81	0	0	8	10	10	0	350	94	110	133	13	306	110	58	169	30	7	23.33%	29	8	72.41%	0	155	299	51.84%	121	246	49.19%	67	125	53.60%	158	115	150	40	72	36
Total Playoff	6	2	4	0	0	0	0	0	28	32	-4	3	2	1	0	0	0	0	0	14	13	1	3	0	3	0	0	0	0	0	14	19	-5	4	28	53	81	0	0	8	10	10	0	350	94	110	133	13	306	110	58	169	30	7	23.33%	29	8	72.41%	0	155	299	51.84%	121	246	49.19%	67	125	53.60%	158	115	150	40	72	36

Flint Michigan Tropics 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
1	Marc McLaughlin	6	3	5	8	-2	2	12	34	32	9.38%	9	126	21.12	0	0	0	0	0	0	0	2	0	0	58.17%	0	1.26	0	0
2	Gustav Rydahl	6	2	2	4	0	2	7	6	16	12.50%	6	71	11.90	0	0	0	0	0	0	0	0	0	0	50.00%	0	1.12	0	0

Flint Michigan Tropics 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

	Flint Michigan Tropics
	GP: 6 \| W: 2 \| L: 4 GF: 28 \| GA: 32 \| PP%: 23.33% \| PK%: 72.41% GM : Louis-Philip Lafrance \| Morale : 50 \| Team Overall : 61