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Barracuda
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Roland Roberge | Morale : 40 | Team Overall : 60

Team Leaders

Team Stats
Team Info

General ManagerRoland Roberge
CoachDale Hunter
DivisionPaul-Loicq
ConferenceLouis-Magnus
Captain
Assistant #1Emil Pettersson
Assistant #2Theodor Blueger


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team31
Farm Team19
Contract Limit50 / 250
Prospects0


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Beck Malenstyn (R)X100.005836656166606160725680375444444040600223550,000$
2Luke Martin (R)X100.006129777667597182337262774951494940690221500,000$
Scratches
1Emil Pettersson (A)X100.006929827378718175727873646875592840720262950,000$
2Trent Frederic (R)X100.007027907174887365747466817054465140720222850,000$
3Theodor Blueger (A)X100.007435847371687678677278647064583140710262875,000$
4Kyle PlatzerX100.005439747048726076696969708149502940660252625,000$
5Jacob Peterson (R)X100.006437735975677269656879496544444840650213650,000$
6Nikolai Kovalenko (R)X100.006539716973726367716560507043475440630213650,000$
7Alexei Toropchenko (R)X100.006629696167586261606275596944455040620212600,000$
8Adam Edstrom (R)X100.006534626376577767486661554444426040600201500,000$
9Angus Crookshank (R)X100.005328687364646561564674486843455940600211500,000$
10Adam Beckman (R)X100.004937776859646063465569425541416540580191500,000$
11Yegor Sokolov (R)X100.005532664965536657505771355544445340550202500,000$
12Alex Jefferies (R)X100.005143655459565246446061525343436440540192500,000$
13Sam Colangelo (R)X100.005534594371615062555564444840407740540182500,000$
14Jackson Kunz (R)X100.004925634768535661615755425640406540530182500,000$
15Adam Raska (R)X100.007453594370476346535154384342415740510192500,000$
16Antonio Stranges (R)X100.004415664752436155537057364940406940510182500,000$
17Bogdan Trineyev (R)X100.004630585061503944524759324240406340480182500,000$
18Ryder Rolston (R)X100.004916605753444346505333434340406140450182500,000$
19Robin NorellX100.007433867268777167467758876467543140730252900,000$
20Jordan GrossX100.007328736666697165517270695555562940670251750,000$
21Alex Lintuniemi (R)X100.006135757261646175387260705047503840660242800,000$
22Dennis Cholowski (R)X100.006537845862727462417068656045465340650222650,000$
23Bode Wilde (R)X100.007443666166684855356254624442425840610202600,000$
24Ryan Merkley (R)X100.006324715349555463396266504942425740570203500,000$
25Mason Langenbrunner (R)X100.004630565849435354306140573340406840510182500,000$
TEAM AVERAGE100.00603270616461626253636455564745524060
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Filip Larsson100.00696661625862616352635846475440590221500,000$
Scratches
1Kevin Mandolese100.00765566777850556468497145445240630203650,000$
2Henrik Tikkanen (R)100.00584055637155455556605944455040560202500,000$
3Aidan Campbell (R)100.00505047635543344551465840406140470182500,000$
TEAM AVERAGE100.0063535766665349575755624444544056
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dale Hunter77816664436854Can693750,000$


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 NamePOSGP 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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Adam BeckmanBarracuda (S.J)LW192001-01-01CANYes183 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Link
Adam EdstromBarracuda (S.J)C202000-01-01SWEYes234 Lbs6 ft7NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Link
Adam RaskaBarracuda (S.J)RW192001-01-01CZEYes176 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Aidan CampbellBarracuda (S.J)G182002-01-01USAYes190 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Alex JefferiesBarracuda (S.J)LW192001-01-01USAYes195 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Alex LintuniemiBarracuda (S.J)D241996-01-01FINYes214 Lbs6 ft0NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------800,000$--------No--------Link
Alexei ToropchenkoBarracuda (S.J)RW211999-01-01RUSYes222 Lbs6 ft6NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm600,000$600,000$0$0$No600,000$--------600,000$--------No--------Link
Angus CrookshankBarracuda (S.J)LW211999-01-01CANYes181 Lbs5 ft10NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Link
Antonio StrangesBarracuda (S.J)LW182002-01-01USAYes168 Lbs5 ft10NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Beck MalenstynBarracuda (S.J)LW221998-01-01CANYes194 Lbs6 ft2NoNoFree AgentNoNo32024-10-11FalseFalsePro & Farm550,000$550,000$0$0$No550,000$550,000$-------550,000$550,000$-------NoNo-------Link
Bode WildeBarracuda (S.J)D202000-01-01CANYes195 Lbs6 ft3NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm600,000$600,000$0$0$No600,000$--------600,000$--------No--------Link
Bogdan TrineyevBarracuda (S.J)RW182002-01-01RUSYes198 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Dennis CholowskiBarracuda (S.J)D221998-01-01CANYes196 Lbs6 ft2NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm650,000$650,000$0$0$No650,000$--------650,000$--------No--------Link
Emil PetterssonBarracuda (S.J)C261994-01-01SWENo185 Lbs6 ft1NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm950,000$950,000$0$0$No950,000$--------950,000$--------No--------Link
Filip LarssonBarracuda (S.J)G221998-01-01SWENo185 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Link
Henrik TikkanenBarracuda (S.J)G202000-01-01FINYes207 Lbs6 ft8NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Jackson KunzBarracuda (S.J)LW182002-01-01USAYes215 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Jacob PetersonBarracuda (S.J)C211999-01-01SWEYes180 Lbs6 ft1NoNoFree AgentNoNo32025-10-01FalseFalsePro & Farm650,000$650,000$0$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------Link
Jordan GrossBarracuda (S.J)D251995-01-01USANo190 Lbs5 ft10NoNoFree AgentNoNo12025-10-01FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Link
Kevin MandoleseBarracuda (S.J)G202000-01-01CANNo180 Lbs6 ft4NoNoFree AgentNoNo32025-10-01FalseFalsePro & Farm650,000$650,000$0$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------Link
Kyle PlatzerBarracuda (S.J)C251995-01-01CANNo185 Lbs5 ft11NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm625,000$625,000$0$0$No625,000$--------625,000$--------No--------Link
Luke MartinBarracuda (S.J)D221998-01-01USAYes218 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Link
Mason LangenbrunnerBarracuda (S.J)D182002-01-01USAYes170 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Nikolai KovalenkoBarracuda (S.J)RW211999-01-01RUSYes185 Lbs5 ft10NoNoFree AgentNoNo32025-10-01FalseFalsePro & Farm650,000$650,000$0$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------Link
Robin NorellBarracuda (S.J)D251995-01-01SWENo185 Lbs5 ft11NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------Link
Ryan MerkleyBarracuda (S.J)D202000-01-01CANYes186 Lbs6 ft0NoNoFree AgentNoNo32025-10-01FalseFalsePro & Farm500,000$500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link
Ryder RolstonBarracuda (S.J)RW182002-01-01USAYes175 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Sam ColangeloBarracuda (S.J)RW182002-01-01USAYes209 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Theodor BluegerBarracuda (S.J)C261994-01-01LVANo171 Lbs6 ft0NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm875,000$875,000$0$0$No950,000$--------950,000$--------No--------Link
Trent FredericBarracuda (S.J)C221998-01-01USAYes203 Lbs6 ft2NoNoFree Agent2025-04-15NoNo22025-10-01FalseFalsePro & Farm850,000$850,000$0$0$No950,000$--------950,000$--------No--------Link
Yegor SokolovBarracuda (S.J)RW202000-01-01RUSYes240 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3120.90194 Lbs6 ft21.97600,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140131
230131
320131
4Beck Malenstyn10131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140131
2Luke Martin30131
320131
410131
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Luke Martin40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160140
240140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160140
2Luke Martin40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16014060140
240140Luke Martin40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160131
240131
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160131
2Luke Martin40131
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 : Filip Larsson
Custom OT Lines Forwards
, , , , , , , , ,
Custom OT Lines Defensemen
, , , Luke Martin,


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%000%0000%000%000%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%000%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%000%000%
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
Capacity20001000
Ticket Price7040
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 1,860,000$ 1,860,000$ 750,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

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




Barracuda Players Stat Leaders (Regular Season)

# 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

Barracuda Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Barracuda Career Team Stats

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

Barracuda Players Stat Leaders (Play-Off)

# 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

Barracuda Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA