Los Angeles Kings
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Ontario Reign 8-1-0, 16pts	3	FINAL	1	Manitoba Moose 5-6-0, 10pts

Team Stats
W3	Streak	L3
4-1-0	Home Record	1-4-0
4-0-0	Home Record	4-2-0
8-1-0	Last 10 Games	4-4-2
4.67	Goals Per Game	2.73
3.00	Goals Against Per Game	3.18
20.00%	Power Play Percentage	24.00%
80.95%	Penalty Kill Percentage	85.29%

Manitoba Moose
5-6-0, 10pts

FINAL

Ontario Reign
8-1-0, 16pts

Team Stats
L3	Streak	W3
1-4-0	Home Record	4-1-0
4-2-0	Home Record	4-0-0
4-4-2	Last 10 Games	8-1-0
2.73	Goals Per Game	4.67
3.18	Goals Against Per Game	3.00
24.00%	Power Play Percentage	20.00%
85.29%	Penalty Kill Percentage	80.95%

San Diego Gulls
8-4-0, 16pts

2024-05-18

Ontario Reign
8-1-0, 16pts

Team Stats
W1	Streak	W3
4-2-0	Home Record	4-1-0
4-2-0	Away Record	4-0-0
7-3-0	Last 10 Games	8-1-0
3.67	Goals Per Game	4.67
2.83	Goals Against Per Game	4.67
14.29%	Power Play Percentage	20.00%
88.00%	Penalty Kill Percentage	80.95%

San Diego Gulls
8-4-0, 16pts

2024-05-20

Ontario Reign
8-1-0, 16pts

Team Stats
W1	Streak	W3
4-2-0	Home Record	4-1-0
4-2-0	Away Record	4-0-0
7-3-0	Last 10 Games	8-1-0
3.67	Goals Per Game	4.67
2.83	Goals Against Per Game	4.67
14.29%	Power Play Percentage	20.00%
88.00%	Penalty Kill Percentage	80.95%

Ontario Reign
8-1-0, 16pts

2024-05-22

San Diego Gulls
8-4-0, 16pts

Team Stats
W3	Streak	W1
4-1-0	Home Record	4-2-0
4-0-0	Away Record	4-2-0
8-1-0	Last 10 Games	7-3-0
4.67	Goals Per Game	3.67
3.00	Goals Against Per Game	3.67
20.00%	Power Play Percentage	14.29%
80.95%	Penalty Kill Percentage	88.00%

Team Leaders
	Goals Adam Beckman 7	Assists Adam Beckman 10

	Points Adam Beckman 17	Plus/Minus Adam Beckman 11

Team Stats
Goals For 42 4.67 GFG	Shots For 427 47.44 Avg	Power Play Percentage 20.0% 5 GF	Offensive Zone Start 42.8%
Goals Against 27 3.00 GAA	Shots Against 273 30.33 Avg	Penalty Kill Percentage 81.0%% 4 GA	Defensive Zone Start 38.8%

Team Info
	General Manager
	Coach	John Hynes
	Division	Pacific
	Conference	Western Conference
	Captain	Mason Shaw
	Assistant #1
	Assistant #2	Carl Hagelin
Arena Info
	Capacity	8,000
	Attendance	8,000
	Season Tickets	0
Roster Info
	Pro Team	17
	Farm Team	22
	Contract Limit	39 / 45
	Prospects	3

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	Michael Raffl	19		X	X		100.00	71	38	86	67	76	67	86	57	56	64	59	76	54	69	56	0	60	66	0	35	1	750,000$
2	Mason Shaw (C)	26	X				100.00	69	71	75	64	70	63	69	61	59	68	63	73	54	57	57	0	60	65	0	25	1	750,000$
3	Carl Hagelin (A)	13		X	X		100.00	61	38	81	60	64	66	79	59	50	67	57	69	51	73	57	0	60	63	0	35	1	750,000$
4	Adam Beckman	23	X				100.00	55	56	69	64	63	66	62	59	54	58	61	61	56	55	53	0	60	60	0	23	2	894,167$
5	Tyler Benson	81		X			100.00	62	51	73	59	66	60	61	56	54	60	57	62	54	59	57	0	60	60	0	26	1	750,000$
6	Parker Bell	79		X			100.00	51	51	65	51	62	51	51	51	52	51	51	57	51	49	48	0	60	52	0	20	1	750,000$
7	Amadeus Lombardi	76	X				100.00	51	51	65	51	52	51	51	51	67	51	51	57	51	49	48	0	60	52	0	20	1	750,000$
8	Maximilian Kilpinen (R)	77	X	X			100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	20	4	750,000$
9	Mikey Milne (R)	78		X			100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	21	4	750,000$
10	Bryce McConnell-Barker (R)	83	X				100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	19	4	750,000$
11	Mark Borowiecki	80				X	100.00	72	68	74	59	79	67	69	52	40	61	54	68	54	69	65	0	60	62	0	34	1	900,000$
12	Christian Kyrou (R)	85				X	100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	20	4	750,000$
13	Elias Pettersson (R)	70				X	100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	20	4	750,000$
14	Marek Alscher (R)	84				X	100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	20	4	750,000$
Scratches
1	Joshua Bloom (R)	24		X			100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	20	4	750,000$

	TEAM AVERAGE						100.00	54	49	60	53	56	54	56	51	50	53	51	56	49	53	50	0	60	53

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	Cayden Primeau	34	100.00	62	64	65	70	66	62	66	66	60	60	63	58	54	0	60	64	0	24	3	890,000$
2	Mason Beaupit (R)	39	100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	20	4	750,000$
Scratches

	TEAM AVERAGE		100.00	54	55	55	58	56	54	56	56	53	53	54	52	50	0	60	55

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
John Hynes	75	75	75	75	75	75	75	USA	48	3	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	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	GW	GT	FO%	FOT	HT	P/20	FL	S1	S2	S3
1	Adam Beckman	Ontario Reign (LOS)	C	9	7	10	17	11	11	5	7	18	43	14	19	16.28%	5	128	14.24	0	2	2	6	10	0	2	0	42.33%	189	1	2.65	1	2	1	1
2	Mason Shaw	Ontario Reign (LOS)	C	9	6	10	16	8	4	0	18	32	81	14	50	7.41%	2	183	20.37	0	2	2	11	26	0	2	0	52.17%	207	1	1.75	0	1	1	2
3	Carl Hagelin	Ontario Reign (LOS)	LW/RW	9	7	9	16	11	0	0	10	24	31	16	22	22.58%	2	130	14.49	1	1	2	2	11	0	1	1	38.46%	13	0	2.45	0	1	3	2
4	Maximilian Kilpinen	Ontario Reign (LOS)	C/LW	9	1	0	1	9	0	0	13	9	10	2	6	10.00%	0	176	19.57	0	0	0	3	11	0	0	0	33.78%	74	0	0.11	0	0	1	0
5	Christian Kyrou	Ontario Reign (LOS)	D	9	0	1	1	5	4	0	9	3	2	0	3	0%	2	141	15.71	0	0	0	0	1	0	0	0	0%	0	0	0.14	0	0	0	0
6	Bryce McConnell-Barker	Ontario Reign (LOS)	C	9	0	1	1	-1	4	0	15	15	9	1	3	0%	2	146	16.25	0	0	0	0	0	0	0	0	35.80%	162	0	0.14	0	0	1	1
7	Parker Bell	Ontario Reign (LOS)	LW	9	0	0	0	0	0	0	0	1	0	0	0	0%	0	2	0.23	0	0	0	0	0	0	0	0	66.67%	3	0	0	0	0	0	0
8	Joshua Bloom	Ontario Reign (LOS)	LW	7	0	0	0	-3	0	0	8	3	1	3	2	0%	0	37	5.32	0	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0	0
9	Mikey Milne	Ontario Reign (LOS)	LW	9	0	0	0	-1	0	0	2	0	0	0	0	0%	1	23	2.56	0	0	0	0	7	0	0	0	36.36%	22	0	0	0	0	0	0
10	Marek Alscher	Ontario Reign (LOS)	D	9	0	0	0	1	8	0	18	1	1	0	0	0%	8	120	13.36	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
Team Total or Average				88	21	31	52	40	31	5	100	106	178	50	105	11.80%	22	1088	12.37	1	5	6	22	68	1	5	1	42.77%	671	2	0.96	1	4	7	6

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	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
Adam Beckman	Ontario Reign (LOS)	C	23	05/10/01	No	182 Lbs	6 ft2	No	No	N/A	No	No	2	Pro & Farm	894,167$	0$	0$	No	894,167$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Amadeus Lombardi	Ontario Reign (LOS)	C	20	06/05/03	No	165 Lbs	5 ft10	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Bryce McConnell-Barker	Ontario Reign (LOS)	C	19	06/04/04 2:31:23 AM	Yes	194 Lbs	6 ft1	No	No	N/A	No	No	4	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Carl Hagelin	Ontario Reign (LOS)	LW/RW	35	08/23/88	No	183 Lbs	6 ft0	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Cayden Primeau	Ontario Reign (LOS)	G	24	08/11/99	No	199 Lbs	6 ft2	No	No	N/A	No	No	3	Pro & Farm	890,000$	0$	0$	No	890,000$	890,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Christian Kyrou	Ontario Reign (LOS)	D	20	09/16/03 3:24:38 AM	Yes	72 Lbs	5 ft10	No	No	N/A	No	No	4	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Elias Pettersson	Ontario Reign (LOS)	D	20	02/16/04 8:14:59 AM	Yes	185 Lbs	6 ft2	No	No	N/A	No	No	4	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Joshua Bloom	Ontario Reign (LOS)	LW	20	06/08/03 10:27:09 AM	Yes	183 Lbs	6 ft2	No	No	N/A	No	No	4	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Marek Alscher	Ontario Reign (LOS)	D	20	04/07/04 2:30:04 AM	Yes	198 Lbs	6 ft3	No	No	N/A	No	No	4	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Mark Borowiecki	Ontario Reign (LOS)	D	34	07/12/89	No	204 Lbs	6 ft2	No	No	N/A	No	No	1	Pro & Farm	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mason Beaupit	Ontario Reign (LOS)	G	20	09/23/03 2:47:38 AM	Yes	185 Lbs	6 ft5	No	No	N/A	No	No	4	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Mason Shaw	Ontario Reign (LOS)	C	25	11/03/98	No	184 Lbs	5 ft10	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Maximilian Kilpinen	Ontario Reign (LOS)	C/LW	20	02/13/04 2:55:57 AM	Yes	174 Lbs	6 ft1	No	No	N/A	No	No	4	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Michael Raffl	Ontario Reign (LOS)	LW/RW	35	12/01/88	No	205 Lbs	6 ft1	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mikey Milne	Ontario Reign (LOS)	LW	21	09/21/02 5:13:06 AM	Yes	85 Lbs	5 ft11	No	No	N/A	No	No	4	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Parker Bell	Ontario Reign (LOS)	LW	20	09/26/03	No	192 Lbs	6 ft4	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tyler Benson	Ontario Reign (LOS)	LW	26	03/15/98	No	190 Lbs	6 ft0	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
17	23.65	175 Lbs	6 ft1	2.59	775,539$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Mason Shaw		30	1	2	2
2	Carl Hagelin	Adam Beckman	Maximilian Kilpinen	30	1	2	2
3		Bryce McConnell-Barker		25	1	2	2
4		Maximilian Kilpinen		15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			30	1	2	2
2	Christian Kyrou		30	1	2	2
3		Marek Alscher	25	1	2	2
4			15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Mason Shaw		60	1	2	2
2	Carl Hagelin	Adam Beckman	Maximilian Kilpinen	40	1	2	2

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

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

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

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

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

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
	Mason Shaw

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	Mason Shaw

Extra Forwards
Normal	PowerPlay	Penalty Kill
Mikey Milne, Parker Bell, Bryce McConnell-Barker	Mikey Milne, Parker Bell	Bryce McConnell-Barker

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, Christian Kyrou, Marek Alscher		, Christian Kyrou

Penalty Shots
, , Carl Hagelin, , Mason Shaw

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , Carl Hagelin, , Mason Shaw, Adam Beckman, Adam Beckman, Bryce McConnell-Barker, Maximilian Kilpinen, ,

Custom OT Lines Defensemen
, , , Christian Kyrou, Marek Alscher

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	Manitoba Moose	5	4	1	0	0	0	0	0	18	11	7	3	2	1	0	0	0	0	0	9	6	3	2	2	0	0	0	0	0	0	9	5	4	8	0.800	18	30	48	0	0	15	13	12	2	225	131	142	142	12	132	47	30	100	18	3	16.67%	9	2	77.78%	0	147	332	44.28%	131	301	43.52%	55	143	38.46%	205	147	245	70	115	54
2	Tucson Roadrunners	4	4	0	0	0	0	0	0	24	16	8	2	2	0	0	0	0	0	0	12	9	3	2	2	0	0	0	0	0	0	12	7	5	8	1.000	24	43	67	0	0	15	13	12	2	202	131	142	142	12	141	36	31	105	7	2	28.57%	12	2	83.33%	0	147	332	44.28%	131	301	43.52%	55	143	38.46%	205	147	245	70	115	54
	Total	9	8	1	0	0	0	0	0	42	27	15	5	4	1	0	0	0	0	0	21	15	6	4	4	0	0	0	0	0	0	21	12	9	16	0.889	42	73	115	0	0	15	13	12	2	427	131	142	142	12	273	83	61	205	25	5	20.00%	21	4	80.95%	0	147	332	44.28%	131	301	43.52%	55	143	38.46%	205	147	245	70	115	54
	_Since Last GM Reset	9	8	1	0	0	0	0	0	42	27	15	5	4	1	0	0	0	0	0	21	15	6	4	4	0	0	0	0	0	0	21	12	9	16	0.889	42	73	115	0	0	15	13	12	2	427	131	142	142	12	273	83	61	205	25	5	20.00%	21	4	80.95%	0	147	332	44.28%	131	301	43.52%	55	143	38.46%	205	147	245	70	115	54
	_Vs Conference	9	8	1	0	0	0	0	0	42	27	15	5	4	1	0	0	0	0	0	21	15	6	4	4	0	0	0	0	0	0	21	12	9	16	0.889	42	73	115	0	0	15	13	12	2	427	131	142	142	12	273	83	61	205	25	5	20.00%	21	4	80.95%	0	147	332	44.28%	131	301	43.52%	55	143	38.46%	205	147	245	70	115	54

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
9	16	W3	42	73	115	427	273	83	61	205	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	8	1	0	0	0	0	42	27

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	4	1	0	0	0	0	21	15

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	4	0	0	0	0	0	21	12

Last 10 Games
W	L	OTW	OTL	SOW	SOL
8	1	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
25	5	20.00%	21	4	80.95%	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
131	142	142	12	15	13	12	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
147	332	44.28%	131	301	43.52%	55	143	38.46%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
205	147	245	70	115	54

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 - 2024-04-20	6	Tucson Roadrunners	6	Ontario Reign	7	BW	X	BoxScore
4 - 2024-04-22	14	Tucson Roadrunners	3	Ontario Reign	5	BW		BoxScore
6 - 2024-04-24	22	Ontario Reign	5	Tucson Roadrunners	4	AW		BoxScore
8 - 2024-04-26	30	Ontario Reign	7	Tucson Roadrunners	3	AW		BoxScore
16 - 2024-05-04	60	Manitoba Moose	4	Ontario Reign	5	BW	X	BoxScore
18 - 2024-05-06	64	Manitoba Moose	1	Ontario Reign	0	BL		BoxScore
20 - 2024-05-08	68	Ontario Reign	6	Manitoba Moose	4	AW		BoxScore
22 - 2024-05-10	72	Ontario Reign	3	Manitoba Moose	1	AW		BoxScore
24 - 2024-05-12	76	Manitoba Moose	1	Ontario Reign	4	BW		BoxScore
30 - 2024-05-18	86	San Diego Gulls	-	Ontario Reign	-
32 - 2024-05-20	88	San Diego Gulls	-	Ontario Reign	-
34 - 2024-05-22	90	Ontario Reign	-	San Diego Gulls	-
36 - 2024-05-24	92	Ontario Reign	-	San Diego Gulls	-
38 - 2024-05-26	94	San Diego Gulls	-	Ontario Reign	-
40 - 2024-05-28	96	Ontario Reign	-	San Diego Gulls	-
42 - 2024-05-30	98	San Diego Gulls	-	Ontario Reign	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	4500	3500
Ticket Price	35	0
Attendance	22,500	17,500
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
29	8000 - 100.00%	157,500$	787,500$	8000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,318,417$	718,417$	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$

Ontario Reign 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

Ontario Reign 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

Ontario Reign 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

Ontario Reign 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

Ontario Reign 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

	Ontario Reign
	GP: 9 \| W: 8 \| L: 1 GF: 42 \| GA: 27 \| PP%: 20.00% \| PK%: 80.95% GM : \| Morale : 60 \| Team Overall : 53 Next Games #86 vs San Diego Gulls