Essayer le nouveau site
Please rotate your device to landscape mode for a better experience.
Login

Barracuda
GP: 1 | W: 0 | L: 1 | OTL: 0 | P: 0
GF: 0 | GA: 4 | PP%: 0.00% | PK%: 0.00%
GM : Michael Gadbois | Morale : 49 | Team Overall : 62
Next Games #17 vs Thunderbirds

Game Center
Monsters
1-0-0, 2pts
4
FINAL
0 Barracuda
0-1-0, 0pts
Team Stats
W1StreakL1
0-0-0Home Record0-1-0
1-0-0Home Record0-0-0
1-0-0Last 10 Games0-1-0
4.00Goals Per Game0.00
0.00Goals Against Per Game4.00
100.00%Power Play Percentage0.00%
100.00%Penalty Kill Percentage0.00%
Barracuda
0-1-0, 0pts
2025-08-14
Thunderbirds
0-0-0, 0pts
Team Stats
L1StreakN/A
0-1-0Home Record0-0-0
0-0-0Away Record0-0-0
0-1-0Last 10 Games0-0-0
0.00Goals Per Game0
4.00Goals Against Per Game0
0.00%Power Play Percentage0%
0.00%Penalty Kill Percentage0%
Iowa Wild
1-1-0, 2pts
2025-08-17
Barracuda
0-1-0, 0pts
Team Stats
L1StreakL1
1-0-0Home Record0-1-0
0-1-0Away Record0-0-0
1-1-0Last 10 Games0-1-0
5.00Goals Per Game0.00
4.00Goals Against Per Game0.00
40.00%Power Play Percentage0.00%
33.33%Penalty Kill Percentage0.00%
Barracuda
0-1-0, 0pts
2025-08-20
Eagles
0-1-0, 0pts
Team Stats
L1StreakL1
0-1-0Home Record0-0-0
0-0-0Away Record0-1-0
0-1-0Last 10 Games0-1-0
0.00Goals Per Game3.00
4.00Goals Against Per Game3.00
0.00%Power Play Percentage20.00%
0.00%Penalty Kill Percentage0.00%
Team Leaders
Goals
Andreas Athanasiou
0
Assists
Andreas Athanasiou
0
Points
Andreas Athanasiou
0
Plus/Minus
Kyle Olson
0
Wins
Adam Ahman
0
Save Percentage
Adam Ahman
0.846

Team Stats
Goals For
0
0.00 GFG
Shots For
29
29.00 Avg
Power Play Percentage
0.0%
0 GF
Offensive Zone Start
44.6%
Goals Against
4
4.00 GAA
Shots Against
26
26.00 Avg
Penalty Kill Percentage
0.0%%
1 GA
Defensive Zone Start
35.1%
Team Info

General ManagerMichael Gadbois
CoachGlen Hanlon
DivisionDivision Pacifique
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,210
Season Tickets300


Roster Info

Pro Team24
Farm Team18
Contract Limit42 / 56
Prospects25


Team History

This Season0-1-0 (0PTS)
History55-97-13 (0.333%)
Playoff Appearances0
Playoff Record (W-L)0 - 0
Stanley Cup0


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 SPAgeContractSalary
1Andreas AthanasiouXX100.0065459974727377726668717369786942496703132,500,000$
2Sam GagnerXX100.0060459672717070686266676766999722466703622,000,000$
3Dominik KubalikXX100.0063459771727587716271706968716246496703032,500,000$
4Jimmy VeseyXX100.0065519976747777725568707068846434496703222,000,000$
5Luke GlendeningX100.0070459372707070687366677265936118466603622,000,000$
6Tyler MotteXX100.0073459370717070706567657266775442466503022,000,000$
7Barclay GoodrowXXX100.0074657672747070707564667166846234466503222,000,000$
8Jonathan DahlenXX100.0070458075707778676968685967665558496402721,200,000$
9Aleksi HeponiemiXXX100.006245927064697667827070686951465846630261900,000$
10Nikita AlexandrovXXX100.007045927669717568696861705453456646630242900,000$
11Kyle OlsonXX100.007156767267727265746768656048465949620262750,000$
12Dillon Hamaliuk (R)XX100.006655707271707062606464665845456049600243750,000$
13Josh BrownX100.0076767373777581734570657963694838496703122,000,000$
14Mike ReillyX100.0061459373728075714570667364745738496703222,100,000$
15Andreas EnglundX100.0074498372716880714571667356715554496602911,500,000$
16Reece WillcoxX100.0055399572717476684570657245695647496503111,200,000$
17Jordan SubbanX100.0064458471687276714571696757685549496403021,200,000$
18Michael Vujojevic (R)X100.007065507273707066456864735745457049620243750,000$
Scratches
1Chase HartjeX100.005642887370696959455553665948456249590251500,000$
2Veeti VainioX100.006545787268109584558596756555054495502821,000,000$
3Jacob CederholmX100.005745575555575554515353555546455149510271500,000$
TEAM AVERAGE100.00664984727069716758666569616655484863
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 SPAgeContractSalary
1Adam Ahman99.00828080758076777677817847476849630262750,000$
2Matthew Villata (R)100.00606060796060606060606045505846510263500,000$
Scratches
1Hunter Shepard (R)100.00606060786060606060606046514650510293500,000$
TEAM AVERAGE99.6767676777676566656667664649574855
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Glen Hanlon68736885999928CAN673100,000$


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
1Andreas AthanasiouBarracuda (SJ )LW/RW1000-100002010%01616.330000100000000%20000000000000
2Jordan SubbanBarracuda (SJ )D1000-200101000%31717.550000000000000%00000000000000
3Sam GagnerBarracuda (SJ )LW/RW1000-100002020%01616.100001200000000%40000000000000
4Tyler MotteBarracuda (SJ )LW/RW1000-100302000%01414.5800000000000050.00%20000000000000
5Reece WillcoxBarracuda (SJ )D1000-100011010%21919.380001100000000%00000000000000
6Aleksi HeponiemiBarracuda (SJ )C/LW/RW1000-100011010%01414.5800000000000030.77%130000000000000
7Kyle OlsonBarracuda (SJ )LW/RW1000000000130%01414.180000000000000%00000000000000
8Dominik KubalikBarracuda (SJ )LW/RW1000-100002000%01515.7700011000000050.00%20000000000000
9Jonathan DahlenBarracuda (SJ )LW/RW1000-100200000%11414.580000000000000%10000000000000
10Josh BrownBarracuda (SJ )D1000000203000%22222.430002200000000%00000000000000
11Jimmy VeseyBarracuda (SJ )LW/RW1000-100021120%01616.130000200000000%10000000000000
12Andreas EnglundBarracuda (SJ )D1000-100102030%31919.380001100000000%00000000000000
13Nikita AlexandrovBarracuda (SJ )C/LW/RW1000000214020%01313.5800000000000050.00%160000000000000
14Mike ReillyBarracuda (SJ )D1000000011010%22222.430000200000000%00000000000000
15Luke GlendeningBarracuda (SJ )C1000-100013110%01515.2700011000000064.71%170000000000000
16Dillon HamaliukBarracuda (SJ )LW/RW1000000003110%11313.520000000000000%00000000000000
17Michael VujojevicBarracuda (SJ )D1000-220500010%01717.530000000000000%00000000000000
18Barclay GoodrowBarracuda (SJ )C/LW/RW1000-100611120%01515.4700002000000037.50%160000000000000
Team Total or Average18000-1520228295210.00%1429816.60000719000040041.89%7400000.0000000000
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
1Adam AhmanBarracuda (SJ )10100.8464.0060004260000010000
Team Total or Average10100.8464.006000426000010000


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 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 AhmanBarracuda (SJ )G261999-07-31SWENo163 Lbs6 ft0NoNoProspectNoNo22024-06-19FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Link
Aleksi HeponiemiBarracuda (SJ )C/LW/RW261999-01-09FINNo155 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Andreas AthanasiouBarracuda (SJ )LW/RW311994-08-06CANNo190 Lbs6 ft2NoNoFree Agent2025-02-01NoNo32025-07-03FalseFalsePro & Farm2,500,000$0$0$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------NoNo-------Link
Andreas EnglundBarracuda (SJ )D291996-01-21SWENo198 Lbs6 ft3NoNoN/ANoNo12025-05-28FalseFalsePro & Farm1,500,000$0$0$No---------------------------Link
Barclay GoodrowBarracuda (SJ )C/LW/RW321993-02-26CANNo209 Lbs6 ft2NoNoFree AgentNoNo22025-09-02FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Link
Chase HartjeBarracuda (SJ )D251999-12-17USANo172 Lbs5 ft11NoNoN/ANoNo12025-05-28FalseFalsePro & Farm500,000$0$0$No---------------------------Link
Dillon HamaliukBarracuda (SJ )LW/RW242000-10-30CANYes190 Lbs6 ft3NoNoProspectNoNo32025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Dominik KubalikBarracuda (SJ )LW/RW301995-08-21CZENo192 Lbs6 ft2NoNoFree AgentNoNo32025-07-08FalseFalsePro & Farm2,500,000$0$0$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------NoNo-------Link
Hunter ShepardBarracuda (SJ )G291995-11-07USAYes215 Lbs6 ft0NoNoFree AgentNoNo32025-09-02FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Jacob CederholmBarracuda (SJ )D271998-01-30SWENo187 Lbs6 ft4NoNoN/ANoNo12025-05-28FalseFalsePro & Farm500,000$0$0$No---------------------------Link
Jimmy VeseyBarracuda (SJ )LW/RW321993-05-26USANo203 Lbs6 ft2NoNoFree AgentNoNo22025-07-11FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Link
Jonathan DahlenBarracuda (SJ )LW/RW271997-12-20SWENo176 Lbs5 ft11NoNoN/ANoNo22024-05-30FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Link
Jordan SubbanBarracuda (SJ )D301995-03-03CANNo182 Lbs5 ft9NoNoN/ANoNo22024-05-30FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Link
Josh BrownBarracuda (SJ )D311994-01-21CANNo220 Lbs6 ft5NoNoFree Agent2024-03-28NoNo22025-07-03FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Link
Kyle OlsonBarracuda (SJ )LW/RW261999-03-22CANNo172 Lbs6 ft0NoNoProspectNoNo22024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Link
Luke GlendeningBarracuda (SJ )C361989-04-28USANo190 Lbs5 ft11NoNoFree AgentNoNo22025-09-02FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Link
Matthew VillataBarracuda (SJ )G261999-06-03CANYes190 Lbs6 ft3NoNoTrade2025-09-02NoNo32025-09-02FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Michael VujojevicBarracuda (SJ )D242001-06-08CANYes215 Lbs6 ft3NoNoProspectNoNo32025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Mike ReillyBarracuda (SJ )D321993-07-13USANo191 Lbs6 ft2NoNoFree AgentNoNo22025-07-08FalseFalsePro & Farm2,100,000$0$0$No2,100,000$--------2,100,000$--------No--------Link
Nikita AlexandrovBarracuda (SJ )C/LW/RW242000-09-16DEUNo177 Lbs6 ft1NoNoProspectNoNo22024-05-03FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link
Reece WillcoxBarracuda (SJ )D311994-03-20CANNo184 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Link
Sam GagnerBarracuda (SJ )LW/RW361989-08-10CANNo200 Lbs5 ft11NoNoFree AgentNoNo22025-09-02FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Link
Tyler MotteBarracuda (SJ )LW/RW301995-03-10USANo194 Lbs5 ft10NoNoFree AgentNoNo22025-09-02FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Link
Veeti VainioBarracuda (SJ )D281997-06-16FINNo170 Lbs6 ft2NoNoFree AgentNoNo22024-09-13FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2428.83189 Lbs6 ft12.041,333,333$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andreas AthanasiouLuke GlendeningDominik Kubalik25122
2Sam GagnerBarclay GoodrowJimmy Vesey25122
3Tyler MotteAleksi HeponiemiJonathan Dahlen25122
4Kyle OlsonNikita AlexandrovDillon Hamaliuk25122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mike ReillyJosh Brown25122
2Andreas EnglundReece Willcox25122
3Jordan SubbanMichael Vujojevic25122
4Mike ReillyJosh Brown25122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andreas AthanasiouLuke GlendeningDominik Kubalik50122
2Sam GagnerBarclay GoodrowJimmy Vesey50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mike ReillyJosh Brown50122
2Andreas EnglundReece Willcox50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Andreas AthanasiouDominik Kubalik50122
2Sam GagnerJimmy Vesey50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mike ReillyJosh Brown50122
2Andreas EnglundReece Willcox50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Andreas Athanasiou50122Mike ReillyJosh Brown50122
2Dominik Kubalik50122Andreas EnglundReece Willcox50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Andreas AthanasiouDominik Kubalik50122
2Sam GagnerJimmy Vesey50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mike ReillyJosh Brown50122
2Andreas EnglundReece Willcox50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Andreas AthanasiouLuke GlendeningDominik KubalikMike ReillyJosh Brown
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Andreas AthanasiouLuke GlendeningDominik KubalikMike ReillyJosh Brown
Extra Forwards
Normal PowerPlayPenalty Kill
Tyler Motte, Jonathan Dahlen, Aleksi HeponiemiTyler Motte, Jonathan DahlenAleksi Heponiemi
Extra Defensemen
Normal PowerPlayPenalty Kill
Jordan Subban, Michael Vujojevic, Andreas EnglundJordan SubbanMichael Vujojevic, Andreas Englund
Penalty Shots
Andreas Athanasiou, Dominik Kubalik, Sam Gagner, Jimmy Vesey, Luke Glendening
Goalie
#1 : Adam Ahman, #2 : Matthew Villata


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
1Monsters1010000004-41010000004-40000000000000.00000000000029615802614222200.00%110.00%0153345.45%92634.62%71546.67%2518226126
Total1010000004-41010000004-40000000000000.00000000000029615802614222200.00%110.00%0153345.45%92634.62%71546.67%2518226126
_Since Last GM Reset1010000004-41010000004-40000000000000.00000000000029615802614222200.00%110.00%0153345.45%92634.62%71546.67%2518226126
_Vs Conference1010000004-41010000004-40000000000000.00000000000029615802614222200.00%110.00%0153345.45%92634.62%71546.67%2518226126

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
10L100029261422200
All Games
GPWLOTWOTL SOWSOLGFGA
101000004
Home Games
GPWLOTWOTL SOWSOLGFGA
101000004
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
010000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
200.00%110.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
615800000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
153345.45%92634.62%71546.67%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2518226126


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
2 - 2025-08-1311Monsters4Barracuda0LBoxScore
3 - 2025-08-1417Barracuda-Thunderbirds-
6 - 2025-08-1740Iowa Wild-Barracuda-
9 - 2025-08-2062Barracuda-Eagles-
11 - 2025-08-2275Silver Knights-Barracuda-
13 - 2025-08-2492Barracuda-Icehogs-
15 - 2025-08-26103Barracuda-Gulls-
17 - 2025-08-28119Griffins-Barracuda-
19 - 2025-08-30136Monsters-Barracuda-
21 - 2025-09-01152Barracuda-Thunderbirds-
23 - 2025-09-03163Barracuda-Canucks-
25 - 2025-09-05176Reign-Barracuda-
28 - 2025-09-08200Barracuda-Iowa Wild-
30 - 2025-09-10213Phantoms-Barracuda-
31 - 2025-09-11227Barracuda-Silver Knights-
34 - 2025-09-14246Icehogs-Barracuda-
36 - 2025-09-16260Barracuda-Condors-
38 - 2025-09-18275Condors-Barracuda-
40 - 2025-09-20294Barracuda-Condors-
41 - 2025-09-21305Marlies-Barracuda-
45 - 2025-09-25330Barracuda-Reign-
46 - 2025-09-26343Bears-Barracuda-
48 - 2025-09-28361Barracuda-Silver Knights-
50 - 2025-09-30376Phantoms-Barracuda-
52 - 2025-10-02393Barracuda-Reign-
54 - 2025-10-04405Roadrunners-Barracuda-
57 - 2025-10-07423Barracuda-Roadrunners-
59 - 2025-10-09435Silver Knights-Barracuda-
61 - 2025-10-11453Barracuda-Rocket-
63 - 2025-10-13463Barracuda-Moose-
64 - 2025-10-14477Monsters-Barracuda-
67 - 2025-10-17498StarsF-Barracuda-
69 - 2025-10-19512Barracuda-Firebirds-
71 - 2025-10-21528Barracuda-Canucks-
72 - 2025-10-22539PenguinsF-Barracuda-
75 - 2025-10-25562Barracuda-Monsters-
77 - 2025-10-27572StarsF-Barracuda-
80 - 2025-10-30590Barracuda-Roadrunners-
81 - 2025-10-31604Moose-Barracuda-
84 - 2025-11-03625Griffins-Barracuda-
86 - 2025-11-05640Barracuda-Admirals-
88 - 2025-11-07656Checkers-Barracuda-
91 - 2025-11-10679Barracuda-StarsF-
93 - 2025-11-12692Firebirds-Barracuda-
95 - 2025-11-14711Barracuda-StarsF-
97 - 2025-11-16722Canucks-Barracuda-
100 - 2025-11-19746Thunderbirds-Barracuda-
102 - 2025-11-21762Barracuda-Admirals-
104 - 2025-11-23777Barracuda-Thunderbirds-
106 - 2025-11-25788Barracuda-Americans-
107 - 2025-11-26796Wolves-Barracuda-
110 - 2025-11-29821Barracuda-Icehogs-
111 - 2025-11-30827Canucks-Barracuda-
114 - 2025-12-03849Icehogs-Barracuda-
117 - 2025-12-06872Reign-Barracuda-
119 - 2025-12-08885Barracuda-Islanders-
121 - 2025-12-10900Barracuda-BruinsF-
122 - 2025-12-11913Crunch-Barracuda-
127 - 2025-12-16942Barracuda-Eagles-
128 - 2025-12-17949Admirals-Barracuda-
131 - 2025-12-20971Wranglers-Barracuda-
134 - 2025-12-23996Barracuda-Iowa Wild-
136 - 2025-12-251005Wranglers-Barracuda-
138 - 2025-12-271019Barracuda-Wranglers-
140 - 2025-12-291035Iowa Wild-Barracuda-
144 - 2026-01-021064Barracuda-Griffins-
146 - 2026-01-041069Roadrunners-Barracuda-
148 - 2026-01-061084Barracuda-Comets-
150 - 2026-01-081100Barracuda-Wolf Pack-
151 - 2026-01-091108Eagles-Barracuda-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-131127Barracuda-Griffins-
156 - 2026-01-141135Barracuda-Gulls-
158 - 2026-01-161148Thunderbirds-Barracuda-
161 - 2026-01-191173Admirals-Barracuda-
162 - 2026-01-201180Barracuda-Monsters-
165 - 2026-01-231202Eagles-Barracuda-
168 - 2026-01-261220Barracuda-Wranglers-
170 - 2026-01-281235Gulls-Barracuda-
175 - 2026-02-021263Condors-Barracuda-
177 - 2026-02-041274Barracuda-SenatorsF-
180 - 2026-02-071290Gulls-Barracuda-
182 - 2026-02-091299Barracuda-SenatorsF-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3819
Attendance1,530680
Attendance PCT76.50%68.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 2210 - 73.67% 105,879$105,879$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
35,676$ 3,200,000$ 3,200,000$ 100,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 34,594$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 183 17,838$ 3,264,354$




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
1Eddie Wittchow151207494-116612213018510.81%224303620.117916740000120%00.6200
2Jordan Subban146226486-238816011718411.96%193306821.01111627970001310%00.5600
3Jonathan Dahlen134324274-383418818031410.19%14255919.10412164100014247.91%00.5802
4James Livingston125314273-378913312823713.08%26196415.71214163100012144.24%00.7401
5Reece Willcox126195473-28266211715512.26%171265921.11101121750001220%00.5500

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 Tremblay77193660.8883.5838726323120710100.70020
3Adam Ahman60163240.8843.5730626118215630300.5008
4Tyson Sexsmith30000.9412.05880035100000

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
1682195303214230308-7841132302111129154-254163001103101154-5352230417647029168676209271365071133259679947411722394518.83%1935273.06%21169248047.14%1327282347.01%632136746.23%1825123220576241079524
171010000004-41010000004-400000000000000000000029615802614222200.00%110.00%0153345.45%92634.62%71546.67%2518226126
Total Regular Season165449705568483614-13183274404242262308-4682175301326221306-851234838571340051781551391643401492137014398352941599101024824689921.15%42812071.96%32415508647.48%2644574046.06%1285277246.36%367924844140125221771058
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