PSL - Pro Simulation League

Reign

GP: 10 | W: 7 | L: 3 | OTL: 0 | P: 14
GF: 49 | GA: 41 | PP%: 34.62% | PK%: 74.19%
GM : Vincent Belizle | Morale : 75 | Team Overall : 57

Kings
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records

Show or Hide Column

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	TA	SP
1	Taylor Raddysh			X		100.00	67	36	94	69	81	80	88	64	55	67	61	62	63	70	69	58	75	65		0
2	Jagger Firkus			X		100.00	62	36	91	67	61	88	85	66	68	64	61	63	65	62	64	76	75	63		0
3	Samuel Helenius	X				100.00	87	62	72	64	97	72	83	62	72	56	60	61	59	64	65	67	75	63		0
4	Christian Fischer			X		100.00	67	36	78	55	73	68	73	53	48	54	50	56	51	62	58	40	75	57		0
5	Fredrik Olofsson		X			100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	42		0
6	Ondrej Kase		X	X		100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	42		0
7	David Jiricek				X	100.00	74	40	81	63	87	79	80	62	30	61	55	64	49	63	65	87	75	62		0
8	David Spacek				X	100.00	62	37	89	60	69	76	85	57	30	61	53	56	47	63	65	49	75	59		0
Scratches

	TEAM AVERAGE					100.00	62	41	73	57	69	68	72	56	48	55	53	55	52	58	58	57	75	57

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	TA	SP
Scratches

	TEAM AVERAGE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Drew Bannister	77	81	79	76	78	72	71	CAN	52	1	1,000,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Christian Fischer		RW	29	1997-04-15	No	212 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	1,125,875$	0$	0$	No	Link / NHL Link
David Jiricek		D	22	2003-11-28	No	204 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	918,333$	0$	0$	No	Link / NHL Link
David Spacek		D	23	2003-02-18	No	174 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	862,500$	0$	0$	No	Link / NHL Link
Fredrik Olofsson		LW	30	1996-05-27	No	190 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Jagger Firkus		RW	22	2004-04-29	No	153 Lbs	5 ft10	No	No	No	1	ELC	Pro & Farm	891,666$	0$	0$	No	Link / NHL Link
Ondrej Kase		LW/RW	30	1995-11-08	No	187 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	1,500,000$	0$	0$	No	Link / NHL Link
Samuel Helenius		C	23	2002-11-26	No	225 Lbs	6 ft6	No	No	No	1	RFA	Pro & Farm	805,833$	0$	0$	No	Link / NHL Link
Taylor Raddysh		RW	28	1998-02-18	No	201 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	758,333$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
8	25.88	193 Lbs	6 ft2	1.50	954,693$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense		Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	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				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			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		40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			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
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
10	14	W1	49	91	140	489	415	124	73	348	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	4	3	1	0	2	0	49	41

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	3	0	0	0	2	0	29	18

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	3	1	0	0	0	20	23

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
26	9	34.62%	31	8	74.19%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
170	156	146	26	23	13	10	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
193	411	46.96%	176	400	44.00%	91	186	48.92%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
232	166	252	71	126	62

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	RI	Link
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2026-09-02	14	Marlies	4	Reign	7	W				BoxScore
2 - 2026-09-03	18	Bruins	3	Reign	6	W				BoxScore
4 - 2026-09-05	38	Reign	3	Bears	2	W				BoxScore
5 - 2026-09-06	55	Reign	5	Monsters	7	L				BoxScore
7 - 2026-09-08	66	Wolves	4	Reign	5	W	X	X		BoxScore
8 - 2026-09-09	91	Reign	4	Crunch	6	L				BoxScore
10 - 2026-09-11	103	Reign	7	Condors	6	W	X			BoxScore
11 - 2026-09-12	128	Moose	3	Reign	6	W				BoxScore
13 - 2026-09-14	135	Reign	1	IceHogs	2	L				BoxScore
14 - 2026-09-15	145	Gulls	4	Reign	5	W	X	X		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	50	25
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
34	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	763,754$	763,754$	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$

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
2017	78	25	45	0	3	2	2	1	409	520	-111	39	16	22	0	0	1	0	0	202	253	-51	39	9	23	0	3	1	2	1	207	267	-60	63	409	749	1158	0	0	81	177	146	6	1861	432	690	724	30	2101	683	1138	1554	288	78	27.08%	393	177	54.96%	20	544	1170	46.50%	561	1234	45.46%	809	1773	45.63%	1741	1046	1639	722	1325	630
2019	82	32	38	0	5	5	1	1	256	258	-2	41	16	19	0	2	3	0	1	133	134	-1	41	16	19	0	3	2	1	0	123	124	-1	82	256	478	734	0	2	87	88	75	7	3216	1017	1094	1071	43	3060	834	613	2045	266	46	17.29%	274	47	82.85%	6	1653	3358	49.23%	1593	3174	50.19%	636	1253	50.76%	1919	1339	2020	596	1015	490
2020	82	41	29	0	4	4	2	2	343	292	51	41	23	12	0	3	2	0	1	173	139	34	41	18	17	0	1	2	2	1	170	153	17	100	343	621	964	2	4	120	114	103	10	3378	1091	1066	1199	42	3018	897	677	1976	244	56	22.95%	267	57	78.65%	3	1735	3231	53.70%	1661	3081	53.91%	786	1438	54.66%	1975	1397	1938	592	1040	514
2021	82	24	43	0	2	7	2	4	375	442	-67	41	18	14	0	1	5	1	2	200	206	-6	41	6	29	0	1	2	1	2	175	236	-61	67	375	720	1095	5	0	0	149	129	93	4037	0	1273	1293	1419	4086	1150	577	2514	259	62	23.94%	258	57	77.91%	3	1527	3526	43.31%	1503	3622	41.50%	673	1564	43.03%	1765	1241	2218	594	988	461
2022	82	32	42	0	3	4	1	0	390	435	-45	41	18	19	0	1	2	1	0	206	223	-17	41	14	23	0	2	2	0	0	184	212	-28	76	390	735	1125	5	1	0	152	124	110	4247	0	1382	1401	1444	4173	1124	670	2546	290	70	24.14%	274	71	74.09%	3	1683	3741	44.99%	1605	3699	43.39%	692	1566	44.19%	1805	1266	2149	588	981	464
2023	82	34	41	0	2	5	0	0	399	442	-43	41	20	19	0	0	2	0	0	203	215	-12	41	14	22	0	2	3	0	0	196	227	-31	77	399	760	1159	6	0	0	181	122	94	4258	0	1418	1372	1452	4454	1312	667	2643	265	57	21.51%	299	67	77.59%	4	1586	3572	44.40%	1658	3755	44.15%	724	1631	44.39%	1765	1238	2197	581	968	459
2024	82	39	33	0	4	6	0	0	380	363	17	41	23	14	0	2	2	0	0	192	174	18	41	16	19	0	2	4	0	0	188	189	-1	92	380	725	1105	2	1	0	161	116	99	3944	0	1330	1321	1279	3735	1064	733	2563	288	59	20.49%	313	69	77.96%	1	1591	3416	46.57%	1541	3336	46.19%	680	1465	46.42%	1890	1353	2083	572	961	467
2025	82	32	29	0	12	6	2	1	367	364	3	41	16	15	0	5	3	1	1	180	175	5	41	16	14	0	7	3	1	0	187	189	-2	99	367	691	1058	2	2	0	151	117	85	3884	0	1251	1332	1264	3900	1065	605	2568	248	57	22.98%	270	61	77.41%	3	1538	3404	45.18%	1611	3473	46.39%	631	1442	43.76%	1840	1311	2162	569	957	455
2026	10	4	3	0	1	0	2	0	49	41	8	5	3	0	0	0	0	2	0	29	18	11	5	1	3	0	1	0	0	0	20	23	-3	14	49	91	140	0	0	23	13	10	4	489	170	156	146	26	415	124	73	348	26	9	34.62%	31	8	74.19%	2	193	411	46.96%	176	400	44.00%	91	186	48.92%	232	166	252	71	126	62
Total Regular Season	662	263	303	0	36	39	12	9	2968	3157	-189	331	153	134	0	14	20	5	5	1518	1537	-19	331	110	169	0	22	19	7	4	1450	1620	-170	670	2968	5570	8538	22	10	311	1186	942	508	29314	2710	9660	9859	6999	28942	8253	5753	18757	2174	494	22.72%	2379	614	74.19%	45	12050	25829	46.65%	11909	25774	46.21%	5722	12318	46.45%	14936	10362	16663	4887	8365	4006
Playoff
2024	5	1	4	0	0	0	0	0	13	23	-10	2	1	1	0	0	0	0	0	7	8	-1	3	0	3	0	0	0	0	0	6	15	-9	2	13	24	37	0	0	0	3	7	3	195	0	60	73	62	170	64	21	118	20	2	10.00%	8	0	100.00%	0	75	194	38.66%	70	168	41.67%	32	83	38.55%	96	67	141	38	61	27
2025	23	13	10	0	0	0	0	0	93	94	-1	11	6	5	0	0	0	0	0	46	46	0	12	7	5	0	0	0	0	0	47	48	-1	26	93	177	270	0	0	0	34	28	25	1072	0	343	350	333	1166	344	203	792	82	24	29.27%	89	20	77.53%	1	458	981	46.69%	472	1037	45.52%	178	394	45.18%	529	373	633	166	278	132
Total Playoff	28	14	14	0	0	0	0	0	106	117	-11	13	7	6	0	0	0	0	0	53	54	-1	15	7	8	0	0	0	0	0	53	63	-10	28	106	201	307	0	0	0	37	35	28	1267	0	403	423	395	1336	408	224	910	102	26	25.49%	97	20	79.38%	1	533	1175	45.36%	542	1205	44.98%	210	477	44.03%	626	441	774	204	339	160

Back to the Top