PSL - Pro Simulation League

Penguins

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Louis Levasseur | Morale : 75 | Team Overall : 53

Penguins
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
Scratches
1	Noah Laba (R)	X				100.00	75	41	86	71	86	80	76	63	75	62	60	68	61	63	65	60	75	64		0
2	ECHL Player	X				100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	11	75	42		0
3	Owen Pickering (R)				X	100.00	77	40	90	62	91	80	87	61	30	60	54	65	49	62	64	82	75	63		0
4	ECHL Player				X	100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	11	75	42		0

	TEAM AVERAGE					100.00	58	40	64	53	64	60	61	51	46	51	49	53	48	51	52	41	75	53

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

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
ECHL Player		D	24	2000-09-24	No	100 Lbs	4 ft0	No	No	No	0	RFA	Pro & Farm		0$	0$	No
ECHL Player		C	24	2000-09-24	No	100 Lbs	4 ft0	No	No	No	0	RFA	Pro & Farm		0$	0$	No
Noah Laba		C	22	2003-08-04	Yes	214 Lbs	6 ft3	No	No	No	2	ELC	Pro & Farm	870,000$	0$	0$	No	Link / NHL Link
Owen Pickering		D	21	2004-01-27	Yes	206 Lbs	6 ft5	No	No	No	2	ELC	Pro & Farm	886,667$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
4	22.75	155 Lbs	5 ft2	1.00	439,167$

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
0	0	N/A	0	0	0	0	0	0	0	0	0	0

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

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

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

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0.00%	0	0	0.00%	0	0	0.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

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

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

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
39	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	175,667$	175,667$	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	18	51	0	2	2	1	4	447	604	-157	39	11	23	0	1	1	1	2	208	261	-53	39	7	28	0	1	1	0	2	239	343	-104	48	447	706	1153	0	0	103	178	163	8	2611	788	901	916	28	2618	906	1892	1794	379	139	36.68%	282	128	54.61%	15	1008	1604	62.84%	735	1222	60.15%	1208	1870	64.60%	1588	856	1723	687	1396	714
2019	82	47	24	0	4	7	0	0	297	249	48	41	25	11	0	1	4	0	0	153	123	30	41	22	13	0	3	3	0	0	144	126	18	109	297	546	843	2	1	107	96	90	4	3265	1105	1030	1108	22	3169	958	768	2223	267	46	17.23%	310	54	82.58%	4	1426	3251	43.86%	1434	3271	43.84%	598	1335	44.79%	1817	1248	2107	595	1014	487
2020	82	32	42	0	1	4	3	0	297	324	-27	41	16	23	0	0	2	0	0	134	160	-26	41	16	19	0	1	2	3	0	163	164	-1	76	297	542	839	1	3	110	94	89	5	3337	1081	1092	1149	30	3113	929	495	2043	261	63	24.14%	198	59	70.20%	3	1533	3196	47.97%	1482	3146	47.11%	665	1389	47.88%	1925	1360	1986	592	1028	505
2021	82	29	46	0	3	3	1	0	314	392	-78	41	18	19	0	2	2	0	0	155	184	-29	41	11	27	0	1	1	1	0	159	208	-49	69	314	584	898	2	0	0	137	95	78	3546	0	1193	1172	1155	4044	1138	673	2496	255	56	21.96%	302	85	71.85%	3	1386	3303	41.96%	1522	3734	40.76%	608	1486	40.92%	1743	1207	2187	602	1001	467
2022	82	19	48	0	4	8	3	0	360	449	-89	41	12	22	0	3	4	0	0	178	207	-29	41	7	26	0	1	4	3	0	182	242	-60	60	360	680	1040	0	0	0	140	114	99	3683	0	1193	1217	1245	4452	1275	738	2616	213	45	21.13%	304	82	73.03%	5	1495	3316	45.08%	1646	3820	43.09%	631	1533	41.16%	1767	1229	2200	578	987	467
2023	82	29	37	0	10	4	1	1	393	429	-36	41	15	18	0	6	2	0	0	192	204	-12	41	14	19	0	4	2	1	1	201	225	-24	85	393	750	1143	3	1	0	148	131	103	4380	0	1491	1452	1395	4427	1239	607	2593	301	66	21.93%	272	91	66.54%	6	1704	3674	46.38%	1636	3755	43.57%	683	1593	42.88%	1793	1268	2175	580	980	466
2024	82	29	40	0	6	6	0	1	362	397	-35	41	15	23	0	1	2	0	0	180	198	-18	41	14	17	0	5	4	0	1	182	199	-17	77	362	707	1069	1	1	0	149	115	92	3863	0	1245	1314	1267	3826	1141	651	2549	278	56	20.14%	286	73	74.48%	1	1609	3440	46.77%	1545	3301	46.80%	704	1515	46.47%	1888	1353	2096	566	967	465
2025	82	39	30	0	4	7	0	2	373	351	22	41	19	15	0	3	4	0	0	187	161	26	41	20	15	0	1	3	0	2	186	190	-4	95	373	722	1095	1	3	0	143	122	104	3952	0	1285	1349	1288	3716	1039	615	2517	296	54	18.24%	268	55	79.48%	2	1586	3431	46.23%	1501	3349	44.82%	690	1455	47.42%	1873	1353	2121	571	956	461
Total Regular Season	652	242	318	0	34	41	9	8	2843	3195	-352	326	131	154	0	17	21	1	2	1387	1498	-111	326	111	164	0	17	20	8	6	1456	1697	-241	619	2843	5237	8080	10	9	320	1085	919	493	28637	2974	9430	9677	6430	29365	8625	6439	18831	2250	525	23.33%	2222	627	71.78%	39	11747	25215	46.59%	11501	25598	44.93%	5787	12176	47.53%	14397	9876	16600	4775	8334	4036
Playoff
2019	7	3	4	0	0	0	0	0	18	21	-3	4	2	2	0	0	0	0	0	11	11	0	3	1	2	0	0	0	0	0	7	10	-3	6	18	35	53	0	0	5	2	9	2	287	74	97	102	14	286	92	71	211	18	0	0.00%	31	6	80.65%	0	107	284	37.68%	110	305	36.07%	44	95	46.32%	157	106	196	53	86	40
2023	6	2	4	0	0	0	0	0	22	28	-6	3	1	2	0	0	0	0	0	9	14	-5	3	1	2	0	0	0	0	0	13	14	-1	4	22	42	64	0	0	0	12	6	4	283	0	96	119	68	258	80	30	190	20	4	20.00%	14	5	64.29%	1	105	286	36.71%	102	244	41.80%	48	94	51.06%	127	87	159	43	72	33
2025	16	9	7	0	0	0	0	0	73	79	-6	7	3	4	0	0	0	0	0	34	38	-4	9	6	3	0	0	0	0	0	39	41	-2	18	73	138	211	0	0	0	29	25	17	795	0	232	306	242	766	212	143	459	58	14	24.14%	59	11	81.36%	1	302	683	44.22%	312	674	46.29%	130	290	44.83%	386	285	409	108	181	87
Total Playoff	29	14	15	0	0	0	0	0	113	128	-15	14	6	8	0	0	0	0	0	54	63	-9	15	8	7	0	0	0	0	0	59	65	-6	28	113	215	328	0	0	5	43	40	23	1365	74	425	527	324	1310	384	244	860	96	18	18.75%	104	22	78.85%	2	514	1253	41.02%	524	1223	42.85%	222	479	46.35%	671	479	765	205	341	160

Back to the Top