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Barracuda
GP: 22 | W: 7 | L: 12 | OTL: 3 | P: 17
GF: 61 | GA: 76 | PP%: 20.75% | PK%: 71.43%
GM : Michael Gadbois | Morale : 40 | Team Overall : 61
Next Games #365 vs Marlies
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Game Center
Barracuda
7-12-3, 17pts
2
FINAL
3 Admirals
10-10-3, 23pts
Team Stats
L1StreakL1
4-6-1Home Record5-4-2
3-6-2Home Record5-6-1
2-6-2Last 10 Games3-5-2
2.77Goals Per Game3.26
3.45Goals Against Per Game3.39
20.75%Power Play Percentage21.54%
71.43%Penalty Kill Percentage80.00%
Barracuda
7-12-3, 17pts
1
FINAL
6 SenatorsF
15-6-1, 31pts
Team Stats
L1StreakW1
4-6-1Home Record10-1-1
3-6-2Home Record5-5-0
2-6-2Last 10 Games5-4-1
2.77Goals Per Game4.27
3.45Goals Against Per Game3.64
20.75%Power Play Percentage22.97%
71.43%Penalty Kill Percentage69.51%
Marlies
11-8-4, 26pts
2024-10-23
Barracuda
7-12-3, 17pts
Team Stats
L2StreakL1
5-3-3Home Record4-6-1
6-5-1Away Record3-6-2
1-7-2Last 10 Games2-6-2
3.87Goals Per Game2.77
3.65Goals Against Per Game2.77
23.19%Power Play Percentage20.75%
86.21%Penalty Kill Percentage71.43%
Wolf Pack
12-9-2, 26pts
2024-10-26
Barracuda
7-12-3, 17pts
Team Stats
OTW1StreakL1
7-3-1Home Record4-6-1
5-6-1Away Record3-6-2
5-4-1Last 10 Games2-6-2
3.22Goals Per Game2.77
3.35Goals Against Per Game2.77
20.31%Power Play Percentage20.75%
80.28%Penalty Kill Percentage71.43%
Barracuda
7-12-3, 17pts
2024-10-30
PenguinsF
10-12-1, 21pts
Team Stats
L1StreakL1
4-6-1Home Record5-6-0
3-6-2Away Record5-6-1
2-6-2Last 10 Games5-5-0
2.77Goals Per Game3.57
3.45Goals Against Per Game3.57
20.75%Power Play Percentage25.64%
71.43%Penalty Kill Percentage76.06%
Team Leaders
Goals
James Livingston
5
Assists
Eddie Wittchow
12
Points
Jordan Subban
16
Plus/Minus
Eddie Wittchow
5
Wins
Adam Ahman
7
Save Percentage
Francois Tremblay
0.951

Team Stats
Goals For
61
2.77 GFG
Shots For
564
25.64 Avg
Power Play Percentage
20.8%
11 GF
Offensive Zone Start
37.7%
Goals Against
76
3.45 GAA
Shots Against
658
29.91 Avg
Penalty Kill Percentage
71.4%%
14 GA
Defensive Zone Start
42.4%
Team Info

General ManagerMichael Gadbois
CoachGlen Hanlon
DivisionDivision Pacifique
ConferenceConference 2
Captain
Assistant #1Vladimir Ruzicka
Assistant #2David Kase


Arena Info

Capacity3,000
Attendance2,099
Season Tickets300


Roster Info

Pro Team27
Farm Team19
Contract Limit46 / 56
Prospects23


Team History

This Season7-12-3 (17PTS)
History39-55-10 (0.375%)
Playoff Appearances1
Playoff Record (W-L)0-0
Stanley Cup0


Filter Tips
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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 SPAgeContractSalary
1Ryan SpoonerXXX98.006145987070808068626766676467624638640321900,000$
2Brent GatesX99.006345907170747471696969676651496035640271750,000$
3Jonathan DahlenXX98.0068457975707577687069686169635462546402631,200,000$
4Gabriel BourqueXX99.0052399868697375666367656465746543456303411,200,000$
5David Kase (A)XX100.0061459372666476705968697364564757416302731,000,000$
6James LivingstonXX99.006751867074677470646766686250473844620341800,000$
7Kyle Olson (R)XX100.006955757267707065726767666145456036620253750,000$
8Dane FoxXX100.005945917071706767656363696048455346610311800,000$
9Vladimir Ruzicka (A)X100.005040966669696865696262656066733436610351800,000$
10Marek ZagrapanX100.006045886868687066666465686349462643600371800,000$
11Radek SmolenakXX100.006346886871717465616164656652462640600371800,000$
12Daniel CatenacciX100.006345877069676866646266656251465038600311800,000$
13Jordan SubbanX100.0064458271687075714571686857655553466402931,200,000$
14Eddie WittchowX99.0060458071747075694570607245655650466403211,000,000$
15Michal JordanX100.005945977072808069456667686553454231640341900,000$
16Chase HartjeX100.005642877269686759455554665945456646580241750,000$
17Veeti VainioX98.0066457672681010604560616856545058375502731,000,000$
18Jacob CederholmX100.005545555555555555535555555545455535510261750,000$
Scratches
1Evgeny GrachevXX93.127147846875697168646766676355463837620341800,000$
2Nicklas LasuXX100.006450927168676666645964706046453834600351800,000$
3Brett BulmerXXX99.0762458468756364696260647260494547426003211,000,000$
4Roberts LipsbergsXX100.0057449171696464696069616660474556366003011,000,000$
5Erik ThorellXX100.0056459470676364636362606462454547345803211,000,000$
6Reece WillcoxX76.0756399472717276684570637345665651256503021,200,000$
TEAM AVERAGE98.25614587706967686659656467605450483961
Filter Tips
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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 SPAgeContractSalary
1Adam Ahman (R)100.00817878757975767576807845457026620253750,000$
2Francois Tremblay99.00776968777673777476777247525651610301700,000$
Scratches
1Tyson Sexsmith100.00727067757575767676757346523439600351800,000$
TEAM AVERAGE99.6777727176777476757677744650533961
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Glen Hanlon63716381999932CAN664100,000$


Filter Tips
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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.
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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
1Jordan SubbanBarracuda (SJ )D2251116-26026242581620.00%2947721.68235841000036100%000000.6700000001
2Eddie WittchowBarracuda (SJ )D22412165100172034101611.76%3748221.932351142000034010%000000.6600000102
3Dane FoxBarracuda (SJ )LW/RW224711-30016204912288.16%336516.610006270000150045.65%4600000.6000000111
4Evgeny GrachevBarracuda (SJ )LW/RW205611-38031223572414.29%435517.762131231000020044.68%14100000.6200000001
5Reece WillcoxBarracuda (SJ )D15279-6208141341215.38%1632721.86022522000028100%000100.5500000000
6Gabriel BourqueBarracuda (SJ )LW/RW22369020420437276.98%542719.430115260001200147.50%8000000.4203000200
7Ryan SpoonerBarracuda (SJ )C/LW/RW1035836012922101813.64%320820.800331200000120046.34%4100000.7700000101
8Brent GatesBarracuda (SJ )C17268-8001228327236.25%634020.041123250001190049.12%28300000.4701000002
9James LivingstonBarracuda (SJ )LW/RW18538-1255271831132716.13%530717.071015200000111037.33%7500000.5201001010
10Jonathan DahlenBarracuda (SJ )LW/RW13358-72022223062710.00%026420.311342250000121040.68%17700000.6101000100
11Michal JordanBarracuda (SJ )D161670120169123148.33%1228417.8010112000115000%000000.4900000010
12Chase HartjeBarracuda (SJ )D22167-4120131215466.67%2937417.040001800008000%000000.3700000010
13David KaseBarracuda (SJ )LW/RW123474406143072610.00%419516.33011040001181136.73%4900000.7101000000
14Kyle OlsonBarracuda (SJ )LW/RW1524646010101541413.33%117511.72000320000051046.46%12700000.6800000000
15Nicklas LasuBarracuda (SJ )LW/RW12235400591911510.53%11159.6200022000010050.00%3600000.8700000000
16Nikita OkhotyukSharksD8145180101317375.88%1218122.66101121700008000%000000.5500000010
17Daniel CatenacciBarracuda (SJ )C1123520026112718.18%21019.2700012000100028.95%3800000.9800000011
18Vladimir RuzickaBarracuda (SJ )C182350002172091010.00%224813.7900025000020051.37%18300000.4000000000
19Marek ZagrapanBarracuda (SJ )C19123-540620118139.09%51789.4100012000030039.18%19400000.3400000000
20Brett BulmerBarracuda (SJ )C/LW/RW12213-400931151018.18%21139.4800003000030136.96%4600000.5300000100
21Aleksi HeponiemiSharksC/LW/RW30330001411380%06321.1600027000020051.61%3100000.9511000010
22Nikita AlexandrovSharksC/LW/RW1130304091529133110.34%321619.670004120000180050.30%16900000.2802000011
23Radek SmolenakBarracuda (SJ )LW/RW14202100531531013.33%0997.1100036000001048.84%4300000.4000000100
24Roberts LipsbergsBarracuda (SJ )LW/RW920200012103220.00%1566.2500000000010040.00%500000.7100000001
25Guillaume BriseboisSharksD7022-3408108270%413218.9701151300001000%000000.3000000000
26Andreas EnglundSharksD4011-180947550%28721.840114300009000%000000.2300000000
27Riley NashSharksLW/RW2101-1202430333.33%04020.0900004000020036.36%1100000.5000000000
28Veeti VainioBarracuda (SJ )D7011-420565340%1011917.090004800004000%000000.1700000000
29Erik ThorellBarracuda (SJ )LW/RW4000-300010110%05012.5300001000010040.00%50000000000000
30Jacob CederholmBarracuda (SJ )D9000-5201421120%1216818.720000500001000%00000000000000
Team Total or Average39661111172-47109530836156416441310.82%210656016.5711203110341800053077445.11%178000100.521100018811
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
1Adam AhmanBarracuda (SJ )2271120.8773.55114900685550100.5006220100
2Francois TremblayBarracuda (SJ )50110.9511.631842051030000.6673022000
Team Total or Average2771230.8893.291333207365801092222100


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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.
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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
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Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date Type Current Salary Salary 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 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 AhmanBarracuda (SJ )G251999-07-31Yes163 Lbs6 ft0NoNoTrade (Prospect)NoNo32024-06-19Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Brent GatesBarracuda (SJ )C271997-08-12 08:36:20No198 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
Brett BulmerBarracuda (SJ )C/LW/RW321992-04-26No211 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Link
Chase HartjeBarracuda (SJ )D241999-12-17No172 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
Dane FoxBarracuda (SJ )LW/RW311993-10-13No190 Lbs6 ft1NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Link
Daniel CatenacciBarracuda (SJ )C311993-03-09No193 Lbs5 ft10NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Link
David KaseBarracuda (SJ )LW/RW271997-01-28No170 Lbs5 ft9NoNoN/ANoNo32024-05-30Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Link
Eddie WittchowBarracuda (SJ )D321992-10-01No189 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Link
Erik ThorellBarracuda (SJ )LW/RW321992-03-03No178 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Link
Evgeny Grachev (Out of Payroll)Barracuda (SJ )LW/RW341990-02-21No211 Lbs6 ft4NoNoN/ANoNo1Pro & Farm800,000$0$0$Yes------------------Link
Francois TremblayBarracuda (SJ )G301994-08-29No188 Lbs6 ft2NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Link
Gabriel BourqueBarracuda (SJ )LW/RW341990-09-23No200 Lbs5 ft9NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Link
Jacob CederholmBarracuda (SJ )D261998-01-30 08:37:39No187 Lbs6 ft4NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
James LivingstonBarracuda (SJ )LW/RW341990-03-08No213 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Link
Jonathan DahlenBarracuda (SJ )LW/RW261997-12-20No176 Lbs5 ft11NoNoN/ANoNo32024-05-30Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Link
Jordan SubbanBarracuda (SJ )D291995-03-03No182 Lbs5 ft9NoNoN/ANoNo32024-05-30Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Link
Kyle OlsonBarracuda (SJ )LW/RW251999-03-22Yes172 Lbs6 ft0NoNoTrade (Prospect)NoNo32024-06-18Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Marek ZagrapanBarracuda (SJ )C371986-12-06No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Link
Michal JordanBarracuda (SJ )D341990-07-17No205 Lbs6 ft1NoNoFree AgentNoNo12024-08-26Pro & Farm900,000$0$0$No------------------Link
Nicklas LasuBarracuda (SJ )LW/RW351989-09-16No181 Lbs5 ft11NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Link
Radek SmolenakBarracuda (SJ )LW/RW371986-12-03No209 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Link
Reece Willcox (Out of Payroll)Barracuda (SJ )D301994-03-20No184 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,200,000$0$0$Yes1,200,000$--------No--------Link
Roberts LipsbergsBarracuda (SJ )LW/RW301994-07-29No194 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Link
Ryan SpoonerBarracuda (SJ )C/LW/RW321992-01-30 06:27:40No198 Lbs5 ft11NoNoFree AgentNoNo12024-08-26Pro & Farm900,000$0$0$No------------------Link
Tyson SexsmithBarracuda (SJ )G351989-03-19No195 Lbs5 ft11NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Link
Veeti VainioBarracuda (SJ )D271997-06-16No170 Lbs6 ft2NoNoFree AgentNoNo32024-09-13Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Link
Vladimir RuzickaBarracuda (SJ )C351989-02-17No175 Lbs6 ft1NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2730.78189 Lbs6 ft01.48898,148$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Gabriel BourqueJonathan DahlenBrent Gates33023
2David KaseKyle OlsonRyan Spooner32023
3Daniel CatenacciMarek ZagrapanVladimir Ruzicka25122
4Radek SmolenakJames LivingstonDane Fox10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob CederholmVeeti Vainio38032
2Jordan SubbanEddie Wittchow34122
3Michal JordanChase Hartje28122
4Jacob CederholmEddie Wittchow0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ryan SpoonerKyle OlsonBrent Gates50014
2Daniel CatenacciJonathan DahlenDane Fox50014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Veeti VainioJacob Cederholm50023
2Jordan SubbanEddie Wittchow50023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dane FoxDavid Kase50122
2Jonathan DahlenRyan Spooner50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Veeti VainioMichal Jordan50122
2Jordan SubbanEddie Wittchow50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Gabriel Bourque50122Veeti VainioMichal Jordan50122
2Dane Fox50122Jordan SubbanEddie Wittchow50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dane FoxGabriel Bourque50122
2Brent GatesRadek Smolenak50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob CederholmVeeti Vainio50122
2Jordan SubbanEddie Wittchow50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Gabriel BourqueJonathan DahlenBrent GatesVeeti VainioJacob Cederholm
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Gabriel BourqueJonathan DahlenBrent GatesVeeti VainioJacob Cederholm
Extra Forwards
Normal PowerPlayPenalty Kill
Dane Fox, Gabriel Bourque, Vladimir RuzickaDane Fox, Gabriel BourqueDane Fox
Extra Defensemen
Normal PowerPlayPenalty Kill
Eddie Wittchow, Michal Jordan, Chase HartjeEddie WittchowEddie Wittchow, Michal Jordan
Penalty Shots
Jonathan Dahlen, Gabriel Bourque, Brent Gates, Veeti Vainio, Dane Fox
Goalie
#1 : Adam Ahman, #2 : Francois Tremblay


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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
1Admirals32000001954220000007251000000123-150.83391827002320172861981621951960206448225.00%30100.00%029066143.87%35674447.85%15734944.99%482325559171293141
2Americans1010000035-2000000000001010000035-200.00036900232017222198162195193796183133.33%3166.67%029066143.87%35674447.85%15734944.99%482325559171293141
3Canucks2020000059-41010000025-31010000034-100.00051015002320172471981621951970276303133.33%30100.00%029066143.87%35674447.85%15734944.99%482325559171293141
4Condors11000000413000000000001100000041321.000461000232017230198162195194184174125.00%10100.00%029066143.87%35674447.85%15734944.99%482325559171293141
5Griffins10001000541000000000001000100054121.00059140023201723019816219519341381711100.00%3166.67%029066143.87%35674447.85%15734944.99%482325559171293141
6Gulls2010000157-21010000023-11000000134-110.2505914002320172401981621951969271630400.00%8187.50%029066143.87%35674447.85%15734944.99%482325559171293141
7Icehogs1010000004-41010000004-40000000000000.0000000023201722319816219519196016200.00%000%029066143.87%35674447.85%15734944.99%482325559171293141
8Iowa Wild1010000045-1000000000001010000045-100.000459002320172241981621951938101314200.00%4250.00%029066143.87%35674447.85%15734944.99%482325559171293141
9Monsters1010000034-11010000034-10000000000000.0003690023201721919816219519351012162150.00%6266.67%029066143.87%35674447.85%15734944.99%482325559171293141
10Roadrunners31100001911-22010000159-41100000042230.500918270023201728419816219519811814356233.33%7271.43%029066143.87%35674447.85%15734944.99%482325559171293141
11SenatorsF1010000016-5000000000001010000016-500.00012300232017221198162195194315214100.00%10100.00%029066143.87%35674447.85%15734944.99%482325559171293141
12StarsF2110000067-12110000067-10000000000020.500681400232017258198162195196018123110220.00%6350.00%029066143.87%35674447.85%15734944.99%482325559171293141
13Thunderbirds21100000550110000004221010000013-220.5005101500232017258198162195195114417700.00%110.00%029066143.87%35674447.85%15734944.99%482325559171293141
14Wranglers1010000023-1000000000001010000023-100.0002460023201722219816219519201589000%3166.67%029066143.87%35674447.85%15734944.99%482325559171293141
Total22612010036176-151146000012936-71126010023240-8170.3866111117200232017256419816219519658210111308531120.75%491471.43%029066143.87%35674447.85%15734944.99%482325559171293141
_Since Last GM Reset22612010036176-151146000012936-71126010023240-8170.3866111117200232017256419816219519658210111308531120.75%491471.43%029066143.87%35674447.85%15734944.99%482325559171293141
_Vs Conference20610010035765-81146000012936-7924010022829-1170.4255710316000232017252119816219519578186103276491020.41%451371.11%029066143.87%35674447.85%15734944.99%482325559171293141

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2217L16111117256465821011130800
All Games
GPWLOTWOTL SOWSOLGFGA
2261210036176
Home Games
GPWLOTWOTL SOWSOLGFGA
114600012936
Visitor Games
GPWLOTWOTL SOWSOLGFGA
112610023240
Last 10 Games
WLOTWOTL SOWSOL
260002
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
531120.75%491471.43%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
198162195192320172
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
29066143.87%35674447.85%15734944.99%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
482325559171293141


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
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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
2 - 2024-09-0415Roadrunners4Barracuda1BLBoxScore
5 - 2024-09-0731Barracuda4Roadrunners2AWBoxScore
7 - 2024-09-0943Barracuda1Thunderbirds3ALBoxScore
9 - 2024-09-1159Canucks5Barracuda2BLBoxScore
11 - 2024-09-1372Barracuda3Canucks4ALBoxScore
12 - 2024-09-1488Thunderbirds2Barracuda4BWBoxScore
15 - 2024-09-17110StarsF4Barracuda6BWBoxScore
17 - 2024-09-19125Barracuda4Condors1AWBoxScore
19 - 2024-09-21139Barracuda4Iowa Wild5ALBoxScore
21 - 2024-09-23149Icehogs4Barracuda0BLBoxScore
23 - 2024-09-25168Barracuda3Gulls4ALXXBoxScore
25 - 2024-09-27179Barracuda5Griffins4AWXBoxScore
26 - 2024-09-28191Admirals1Barracuda4BWBoxScore
29 - 2024-10-01213Gulls3Barracuda2BLBoxScore
33 - 2024-10-05236Monsters4Barracuda3BLBoxScore
36 - 2024-10-08254Barracuda2Wranglers3ALBoxScore
38 - 2024-10-10266Roadrunners5Barracuda4BLXXBoxScore
41 - 2024-10-13294StarsF3Barracuda0BLBoxScore
44 - 2024-10-16310Barracuda3Americans5ALBoxScore
46 - 2024-10-18326Admirals1Barracuda3BWBoxScore
48 - 2024-10-20341Barracuda2Admirals3ALXXBoxScore
50 - 2024-10-22357Barracuda1SenatorsF6ALBoxScore
51 - 2024-10-23365Marlies-Barracuda-
54 - 2024-10-26387Wolf Pack-Barracuda-
58 - 2024-10-30410Barracuda-PenguinsF-
60 - 2024-11-01423Wranglers-Barracuda-
63 - 2024-11-04450Silver Knights-Barracuda-
65 - 2024-11-06459Barracuda-Griffins-
67 - 2024-11-08476Barracuda-Rocket-
69 - 2024-11-10488Wranglers-Barracuda-
72 - 2024-11-13514Griffins-Barracuda-
76 - 2024-11-17543Barracuda-Iowa Wild-
77 - 2024-11-18547Crunch-Barracuda-
80 - 2024-11-21574Barracuda-Condors-
81 - 2024-11-22579Phantoms-Barracuda-
84 - 2024-11-25599Barracuda-Firebirds-
85 - 2024-11-26612Griffins-Barracuda-
88 - 2024-11-29635Barracuda-Icehogs-
89 - 2024-11-30644Eagles-Barracuda-
93 - 2024-12-04672Roadrunners-Barracuda-
95 - 2024-12-06682Barracuda-Islanders-
98 - 2024-12-09706Barracuda-Bears-
99 - 2024-12-10709Firebirds-Barracuda-
102 - 2024-12-13737Checkers-Barracuda-
105 - 2024-12-16755Barracuda-Wranglers-
107 - 2024-12-18770Gulls-Barracuda-
109 - 2024-12-20785Barracuda-Eagles-
111 - 2024-12-22800Barracuda-Icehogs-
112 - 2024-12-23805Eagles-Barracuda-
114 - 2024-12-25818Barracuda-Admirals-
116 - 2024-12-27836Thunderbirds-Barracuda-
117 - 2024-12-28840Barracuda-Monsters-
119 - 2024-12-30856Barracuda-BruinsF-
121 - 2025-01-01872Condors-Barracuda-
123 - 2025-01-03882Barracuda-Canucks-
125 - 2025-01-05900Barracuda-Gulls-
126 - 2025-01-06908Barracuda-Reign-
128 - 2025-01-08923Monsters-Barracuda-
131 - 2025-01-11943Canucks-Barracuda-
133 - 2025-01-13966Barracuda-Monsters-
134 - 2025-01-14972Barracuda-Reign-
136 - 2025-01-16980Phantoms-Barracuda-
138 - 2025-01-181001Icehogs-Barracuda-
140 - 2025-01-201016Barracuda-Comets-
142 - 2025-01-221034Barracuda-StarsF-
144 - 2025-01-241041Moose-Barracuda-
147 - 2025-01-271066Iowa Wild-Barracuda-
Trade Deadline --- Trades can’t be done after this day is simulated!
150 - 2025-01-301091Barracuda-Silver Knights-
151 - 2025-01-311103Condors-Barracuda-
154 - 2025-02-031122Barracuda-Silver Knights-
156 - 2025-02-051132Barracuda-Eagles-
157 - 2025-02-061142Silver Knights-Barracuda-
161 - 2025-02-101167Reign-Barracuda-
163 - 2025-02-121179Barracuda-Roadrunners-
165 - 2025-02-141196Reign-Barracuda-
167 - 2025-02-161210Barracuda-Roadrunners-
171 - 2025-02-201226Iowa Wild-Barracuda-
172 - 2025-02-211233Barracuda-Thunderbirds-
176 - 2025-02-251259Wolves-Barracuda-
179 - 2025-02-281278Barracuda-Thunderbirds-
180 - 2025-03-011285Barracuda-StarsF-
183 - 2025-03-041310Wolves-Barracuda-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3819
Attendance15,4477,646
Attendance PCT70.21%69.51%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
30 2099 - 69.98% 99,188$1,091,068$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
646,869$ 2,225,000$ 2,225,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 619,832$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,975,640$ 135 12,568$ 1,696,680$




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
1Jordan Subban1041848660701198713313.53%143217720.9491120670001210%00.6100
2Eddie Wittchow10111516243275821278.66%135204120.224711500000120%00.6100
3Brent Gates90243458-386213220111.94%16177119.68414182510142048.51%00.6527
4Jonathan Dahlen89212950-25201241032259.33%6168218.9039122500003146.29%00.5902
5Scott Kosmachuk73252449-4682077120612.14%19131117.9768144100014135.00%00.7511

Barracuda Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jeff Frazee57202930.8823.8529594119016090400.81316
2Francois Tremblay43121550.9023.1621482211311500000.70617
3Adam Ahman2271120.8773.55114900685550100.5006
4Tyson Sexsmith20001.0000470001600000

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
Regular Season
1582254302354253302-4941142002131133150-1741112300223120152-32712534406930387877210221977370572050267278653412882275423.79%2346771.37%11231257347.84%1308289145.24%646139046.47%1828123220616221085527
1622612010036176-151146000012936-71126010023240-8176111117200232017256419816219519658210111308531120.75%491471.43%029066143.87%35674447.85%15734944.99%482325559171293141
Total Regular Season104315503357314378-6452182602132162186-2452132901225152192-4088314551865031101078912278397186791569333099664515962806523.21%2838171.38%11521323447.03%1664363545.78%803173946.18%2311155826217931379669
Playoff
Total Playoff0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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