WEB CLIENT LEAGUE FILES


Wilkes Barre-Scranton


GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Dan Ramage | Team Overall : 68
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
PriorityTypeDescription
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
10textAny 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
1Sean Kuraly (R)XX100.00784680768284927376696974658072050710
2Nicolas DeslauriersXX100.00836579767984927270706771528074050700
3Noel Acciari (R)XX100.00803388737583847275686772577070050680
4Grayson Downing (R)X100.00733286747680807171666471696466050670
5Gemel Smith (R)XXX100.00734088787678776672646472667064050670
6Rourke Chartier (R)X100.00643297757179846873656570655858050660
7Calvin Thurkauf (R)XX100.00744285737877776876656470646260050660
8Lukas Jasek (R)X100.00743085807176767066666469666057050660
9Samuel Laberge (R)X100.00778272698075706463625969576058050630
10Madison Bowey (R)X100.00783478797883846930676473506168050700
11Michal KempnyX100.00743084737684786630635874438078050690
12Andy Welinski (R)X100.00743085767582826530646273496058050680
13Jake Bischoff (R)X100.00743086737678786630646072526260050670
14Lucas Johansen (R)X100.00733286787379806730665870556260050670
Scratches
1Justin Bailey (R)XX100.00693094777883837462736973656564050690
2Michael Latta (R)XXX100.00766885708081836874676471597775050680
3Nicholas Baptiste (R)XX100.00703287747778706671636469626058050650
4Carl Dahlstrom (R)X100.00763087738078806030575571445854050660
5Maxim Lamarche (R)X100.00764281718372706030554771386058050640
TEAM AVERAGE100.0075408575778080685665627157666405067
Filter Tips
PriorityTypeDescription
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
10textAny 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
1Tyler Parsons (R)100.0085687481867576828377736055050750
Scratches
TEAM AVERAGE100.008568748186757682837773605505075
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kirk Muller72797680777481CAN5311,300,000$


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOS 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
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary 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 Link
Andy WelinskiWilkes Barre-Scranton (PIT)D264/27/1993 11:00:39 AMYes201 Lbs6 ft1NoNoNo1RFAPro & Farm700,000$Link / NHL Link
Calvin ThurkaufWilkes Barre-Scranton (PIT)C/LW226/27/1997 3:01:12 AMYes212 Lbs6 ft2NoNoNo2RFAPro & Farm475,000$475,000$Link / NHL Link
Carl DahlstromWilkes Barre-Scranton (PIT)D241/28/1995 7:45:53 AMYes231 Lbs6 ft4NoNoNo1RFAPro & Farm950,000$Link / NHL Link
Gemel SmithWilkes Barre-Scranton (PIT)C/LW/RW254/16/1994 8:41:38 AMYes195 Lbs5 ft11NoNoNo2RFAPro & Farm950,000$950,000$Link / NHL Link
Grayson DowningWilkes Barre-Scranton (PIT)LW274/18/1992 8:07:13 AMYes197 Lbs6 ft0NoNoNo2RFAPro & Farm975,000$975,000$Link / NHL Link
Jake BischoffWilkes Barre-Scranton (PIT)D257/25/1994 3:05:04 AMYes194 Lbs6 ft1NoNoNo2RFAPro & Farm475,000$475,000$Link / NHL Link
Justin BaileyWilkes Barre-Scranton (PIT)LW/RW247/1/1995 7:20:48 AMYes214 Lbs6 ft4NoNoNo0RFAPro & FarmLink / NHL Link
Lucas JohansenWilkes Barre-Scranton (PIT)D2211/16/1997 3:06:18 AMYes182 Lbs6 ft2NoNoNo2RFAPro & Farm950,000$950,000$Link / NHL Link
Lukas JasekWilkes Barre-Scranton (PIT)RW228/28/1997 2:38:15 AMYes165 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$500,000$NHL Link
Madison BoweyWilkes Barre-Scranton (PIT)D244/22/1995 9:38:46 AMYes198 Lbs6 ft2NoNoNo1RFAPro & Farm700,000$Link / NHL Link
Maxim LamarcheWilkes Barre-Scranton (PIT)D277/11/1992 6:39:32 AMYes218 Lbs6 ft3NoNoNo2RFAPro & Farm700,000$700,000$Link / NHL Link
Michael LattaWilkes Barre-Scranton (PIT)C/LW/RW285/25/1991 9:28:42 AMYes207 Lbs6 ft0NoNoNo0RFAPro & FarmLink / NHL Link
Michal KempnyWilkes Barre-Scranton (PIT)D299/8/1990 6:48:42 AMNo194 Lbs6 ft0NoNoNo1UFAPro & Farm1,200,000$Link / NHL Link
Nicholas BaptisteWilkes Barre-Scranton (PIT)C/RW248/4/1995 5:12:49 AMYes205 Lbs6 ft1NoNoNo0RFAPro & FarmLink / NHL Link
Nicolas DeslauriersWilkes Barre-Scranton (PIT)LW/RW282/22/1991 4:36:43 AMNo221 Lbs6 ft1NoNoNo1RFAPro & Farm1,600,000$Link / NHL Link
Noel AcciariWilkes Barre-Scranton (PIT)C/RW2812/1/1991 10:45:16 AMYes205 Lbs5 ft10NoNoNo1RFAPro & Farm875,000$Link / NHL Link
Rourke ChartierWilkes Barre-Scranton (PIT)C234/3/1996 11:13:16 AMYes190 Lbs5 ft11NoNoNo1RFAPro & Farm620,000$Link / NHL Link
Samuel LabergeWilkes Barre-Scranton (PIT)LW224/10/1997 6:26:40 AMYes205 Lbs6 ft2NoNoNo2RFAPro & Farm575,000$575,000$NHL Link
Sean KuralyWilkes Barre-Scranton (PIT)C/LW261/20/1993 9:47:48 AMYes213 Lbs6 ft2NoNoNo1RFAPro & Farm650,000$Link / NHL Link
Tyler ParsonsWilkes Barre-Scranton (PIT)C/LW229/18/1997 3:07:32 AMYes185 Lbs6 ft1NoNoNo2RFAPro & Farm900,000$900,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2024.90202 Lbs6 ft11.30689,750$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Noel Acciari27014
2Nicolas DeslauriersLukas Jasek25032
3Grayson DowningRourke ChartierGemel Smith24032
4Samuel LabergeCalvin Thurkauf24221
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Michal Kempny28023
2Andy WelinskiMadison Bowey25023
3Lucas JohansenJake Bischoff24131
4Michal Kempny23014
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Noel Acciari50005
2Nicolas DeslauriersLukas Jasek50104
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Lucas JohansenMadison Bowey50005
2Andy WelinskiRourke Chartier50113
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Noel AcciariNicolas Deslauriers50041
2Gemel Smith50140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Michal Kempny50041
2Andy WelinskiMadison Bowey50131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
150140Michal Kempny50131
2Nicolas Deslauriers50140Andy WelinskiMadison Bowey50131
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Noel AcciariNicolas Deslauriers50113
250113
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Madison BoweyMichal Kempny50014
2Andy WelinskiJake Bischoff50023
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nicolas DeslauriersAndy WelinskiMadison Bowey
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nicolas DeslauriersNoel AcciariMichal Kempny
Extra Forwards
Normal PowerPlayPenalty Kill
Gemel Smith, Grayson Downing, Lukas JasekGemel Smith, Grayson DowningGemel Smith
Extra Defensemen
Normal PowerPlayPenalty Kill
Lucas Johansen, , Michal KempnyLucas JohansenLucas Johansen,
Penalty Shots
Nicolas Deslauriers, , , , Gemel Smith
Goalie
#1 : , #2 : Tyler Parsons


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
1,379,500$ 1,324,500$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
0$ 0$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




OverallHomeVisitor
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