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Connexion

Barracuda
GP: 2 | W: 0 | L: 2 | OTL: 0 | P: 0
GF: 2 | GA: 7 | PP%: 16.67% | PK%: 50.00%
DG: Michael Gadbois | Morale : 48 | Moyenne d’équipe : 62
Prochains matchs #40 vs Iowa Wild

Centre de jeu
Monsters
1-0-0, 2pts
4
FINAL
0 Barracuda
0-2-0, 0pts
Team Stats
W1SéquenceL2
0-0-0Fiche domicile0-1-0
1-0-0Fiche domicile0-1-0
1-0-0Derniers 10 matchs0-2-0
4.00Buts par match 1.00
0.00Buts contre par match 3.50
100.00%Pourcentage en avantage numérique16.67%
100.00%Pourcentage en désavantage numérique50.00%
Barracuda
0-2-0, 0pts
2
FINAL
3 Thunderbirds
1-0-0, 2pts
Team Stats
L2SéquenceW1
0-1-0Fiche domicile1-0-0
0-1-0Fiche domicile0-0-0
0-2-0Derniers 10 matchs1-0-0
1.00Buts par match 3.00
3.50Buts contre par match 2.00
16.67%Pourcentage en avantage numérique0.00%
50.00%Pourcentage en désavantage numérique75.00%
Iowa Wild
1-1-0, 2pts
2025-08-17
Barracuda
0-2-0, 0pts
Statistiques d’équipe
L1SéquenceL2
1-0-0Fiche domicile0-1-0
0-1-0Fiche visiteur0-1-0
1-1-010 derniers matchs0-2-0
5.00Buts par match 1.00
4.00Buts contre par match 1.00
40.00%Pourcentage en avantage numérique16.67%
33.33%Pourcentage en désavantage numérique50.00%
Barracuda
0-2-0, 0pts
2025-08-20
Eagles
1-1-0, 2pts
Statistiques d’équipe
L2SéquenceW1
0-1-0Fiche domicile0-0-0
0-1-0Fiche visiteur1-1-0
0-2-010 derniers matchs1-1-0
1.00Buts par match 3.50
3.50Buts contre par match 3.50
16.67%Pourcentage en avantage numérique27.27%
50.00%Pourcentage en désavantage numérique33.33%
Silver Knights
0-1-0, 0pts
2025-08-22
Barracuda
0-2-0, 0pts
Statistiques d’équipe
L1SéquenceL2
0-1-0Fiche domicile0-1-0
0-0-0Fiche visiteur0-1-0
0-1-010 derniers matchs0-2-0
2.00Buts par match 1.00
4.00Buts contre par match 1.00
50.00%Pourcentage en avantage numérique16.67%
66.67%Pourcentage en désavantage numérique50.00%
Meneurs d'équipe
Buts
Josh Brown
2
Passes
Mike Reilly
2
Points
Josh Brown
2
Plus/Moins
Josh Brown
0
Victoires
Adam Ahman
0
Pourcentage d’arrêts
Adam Ahman
0.877

Statistiques d’équipe
Buts pour
2
1.00 GFG
Tirs pour
56
28.00 Avg
Pourcentage en avantage numérique
16.7%
1 GF
Début de zone offensive
40.8%
Buts contre
7
3.50 GAA
Tirs contre
57
28.50 Avg
Pourcentage en désavantage numérique
50.0%%
1 GA
Début de la zone défensive
38.2%
Informations de l'équipe

Directeur généralMichael Gadbois
EntraîneurGlen Hanlon
DivisionDivision Pacifique
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,210
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure18
Limite contact 42 / 56
Espoirs25


Historique d'équipe

Saison actuelle0-2-0 (0PTS)
Historique55-98-13 (0.331%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Andreas AthanasiouXX100.0065459974727377726668717369786942486703132,500,000$
2Sam GagnerXX100.0060459672717070686266676766999722456703622,000,000$
3Dominik KubalikXX100.0063459771727587716271706968716246486703032,500,000$
4Jimmy VeseyXX100.0065519976747777725568707068846434486703222,000,000$
5Luke GlendeningX100.0070459372707070687366677265936118456603622,000,000$
6Tyler MotteXX100.0073459370717070706567657266775442456503022,000,000$
7Barclay GoodrowXXX100.0074657672747070707564667166846234456503222,000,000$
8Jonathan DahlenXX100.0070458075707778676968685967665558486402721,200,000$
9Aleksi HeponiemiXXX100.006245927064697667827070686951465845630261900,000$
10Nikita AlexandrovXXX100.007045927669717568696861705453456645630242900,000$
11Kyle OlsonXX100.007156767267727265746768656048465948620262750,000$
12Dillon Hamaliuk (R)XX100.006655707271707062606464665845456048600243750,000$
13Josh BrownX100.0076767373777581734570657963694838486703122,000,000$
14Mike ReillyX100.0061459373728075714570667364745738486703222,100,000$
15Andreas EnglundX100.0074498372716880714571667356715554486602911,500,000$
16Reece WillcoxX100.0055399572717476684570657245695647486503111,200,000$
17Jordan SubbanX100.0064458471687276714571696757685549486403021,200,000$
18Michael Vujojevic (R)X100.007065507273707066456864735745457048620243750,000$
Rayé
1Chase HartjeX100.005642887370696959455553665948456248590251500,000$
2Veeti VainioX100.006545787268109584558596756555054485502821,000,000$
3Jacob CederholmX100.005745575555575554515353555546455148510271500,000$
MOYENNE D’ÉQUIPE100.00664984727069716758666569616655484763
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Adam Ahman97.00828080758076777677817847476849630262750,000$
2Matthew Villata (R)100.00606060796060606060606045505845510263500,000$
Rayé
1Hunter Shepard (R)100.00606060786060606060606046514649510293500,000$
MOYENNE D’ÉQUIPE99.0067676777676566656667664649574855
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Hanlon68736885999928CAN673100,000$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur Nom de l’équipePOSGP 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
1Josh BrownBarracuda (SJ )D22020004171428.57%34522.881015600001000%000000.8700000010
2Mike ReillyBarracuda (SJ )D2022000132060%44522.880111600001000%000000.8700000000
3Aleksi HeponiemiBarracuda (SJ )C/LW/RW2011-100012050%02814.1600000000010037.04%2700000.7100000000
4Jimmy VeseyBarracuda (SJ )LW/RW2011-200021130%03316.960110600002000%300000.5900000000
5Andreas AthanasiouBarracuda (SJ )LW/RW2000-100002120%03216.2200005000000020.00%50000000000000
6Jordan SubbanBarracuda (SJ )D2000-300211000%33316.930000000000000%00000000000000
7Sam GagnerBarracuda (SJ )LW/RW2000-200006040%03316.6600036000010042.86%70000000000000
8Tyler MotteBarracuda (SJ )LW/RW2000-100412000%02713.8100000000000050.00%20000000000000
9Reece WillcoxBarracuda (SJ )D2000-200023210%23919.870003400001000%00000000000000
10Kyle OlsonBarracuda (SJ )LW/RW2000-100002140%02713.570000000000000%10000000000000
11Dominik KubalikBarracuda (SJ )LW/RW2000-100106030%03216.0000035000000050.00%40000000000000
12Jonathan DahlenBarracuda (SJ )LW/RW2000-100211000%12713.6500000000000033.33%30000000000000
13Andreas EnglundBarracuda (SJ )D2000-200102040%43919.870001400001000%00000000000000
14Nikita AlexandrovBarracuda (SJ )C/LW/RW2000-100234020%02613.2700000000000053.33%300000000000000
15Luke GlendeningBarracuda (SJ )C2000-100245340%13115.5800025000000048.65%370000000000000
16Dillon HamaliukBarracuda (SJ )LW/RW2000-100104110%12613.230000000000000%00000000000000
17Michael VujojevicBarracuda (SJ )D2000-340701010%13316.920000000000000%00000000000000
18Barclay GoodrowBarracuda (SJ )C/LW/RW2000-200825440%03115.9600006000000042.42%330000000000000
Statistiques d’équipe totales ou en moyenne36246-254035215614483.57%2059616.5812318570000120043.42%15200000.2000000010
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Adam AhmanBarracuda (SJ )20200.8773.53119007570000020000
Statistiques d’équipe totales ou en moyenne20200.8773.5311900757000020000


Astuces sur les filtres (anglais seulement)
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
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam AhmanBarracuda (SJ )G261999-07-31SWENo163 Lbs6 ft0NoNoProspectNoNo22024-06-19FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Aleksi HeponiemiBarracuda (SJ )C/LW/RW261999-01-09FINNo155 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
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-------Lien
Andreas EnglundBarracuda (SJ )D291996-01-21SWENo198 Lbs6 ft3NoNoN/ANoNo12025-05-28FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
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--------Lien
Chase HartjeBarracuda (SJ )D251999-12-17USANo172 Lbs5 ft11NoNoN/ANoNo12025-05-28FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Dillon HamaliukBarracuda (SJ )LW/RW242000-10-30CANYes190 Lbs6 ft3NoNoProspectNoNo32025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
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-------Lien
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---------------------------Lien
Jimmy VeseyBarracuda (SJ )LW/RW321993-05-26USANo203 Lbs6 ft2NoNoFree AgentNoNo22025-07-11FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Jonathan DahlenBarracuda (SJ )LW/RW271997-12-20SWENo176 Lbs5 ft11NoNoN/ANoNo22024-05-30FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Jordan SubbanBarracuda (SJ )D301995-03-03CANNo182 Lbs5 ft9NoNoN/ANoNo22024-05-30FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
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--------Lien
Kyle OlsonBarracuda (SJ )LW/RW261999-03-22CANNo172 Lbs6 ft0NoNoProspectNoNo22024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Luke GlendeningBarracuda (SJ )C361989-04-28USANo190 Lbs5 ft11NoNoFree AgentNoNo22025-09-02FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
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-------Lien
Mike ReillyBarracuda (SJ )D321993-07-13USANo191 Lbs6 ft2NoNoFree AgentNoNo22025-07-08FalseFalsePro & Farm2,100,000$0$0$No2,100,000$--------2,100,000$--------No--------Lien
Nikita AlexandrovBarracuda (SJ )C/LW/RW242000-09-16DEUNo177 Lbs6 ft1NoNoProspectNoNo22024-05-03FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Reece WillcoxBarracuda (SJ )D311994-03-20CANNo184 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Sam GagnerBarracuda (SJ )LW/RW361989-08-10CANNo200 Lbs5 ft11NoNoFree AgentNoNo22025-09-02FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Tyler MotteBarracuda (SJ )LW/RW301995-03-10USANo194 Lbs5 ft10NoNoFree AgentNoNo22025-09-02FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Veeti VainioBarracuda (SJ )D281997-06-16FINNo170 Lbs6 ft2NoNoFree AgentNoNo22024-09-13FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2428.83189 Lbs6 ft12.041,333,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andreas AthanasiouLuke GlendeningDominik Kubalik25122
2Sam GagnerBarclay GoodrowJimmy Vesey25122
3Tyler MotteAleksi HeponiemiJonathan Dahlen25122
4Kyle OlsonNikita AlexandrovDillon Hamaliuk25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyJosh Brown25122
2Andreas EnglundReece Willcox25122
3Jordan SubbanMichael Vujojevic25122
4Mike ReillyJosh Brown25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andreas AthanasiouLuke GlendeningDominik Kubalik50122
2Sam GagnerBarclay GoodrowJimmy Vesey50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyJosh Brown50122
2Andreas EnglundReece Willcox50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Andreas AthanasiouDominik Kubalik50122
2Sam GagnerJimmy Vesey50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyJosh Brown50122
2Andreas EnglundReece Willcox50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andreas Athanasiou50122Mike ReillyJosh Brown50122
2Dominik Kubalik50122Andreas EnglundReece Willcox50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Andreas AthanasiouDominik Kubalik50122
2Sam GagnerJimmy Vesey50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyJosh Brown50122
2Andreas EnglundReece Willcox50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andreas AthanasiouLuke GlendeningDominik KubalikMike ReillyJosh Brown
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andreas AthanasiouLuke GlendeningDominik KubalikMike ReillyJosh Brown
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Motte, Jonathan Dahlen, Aleksi HeponiemiTyler Motte, Jonathan DahlenAleksi Heponiemi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Subban, Michael Vujojevic, Andreas EnglundJordan SubbanMichael Vujojevic, Andreas Englund
Tirs de pénalité
Andreas Athanasiou, Dominik Kubalik, Sam Gagner, Jimmy Vesey, Luke Glendening
Gardien
#1 : Adam Ahman, #2 : Matthew Villata


Astuces sur les filtres (anglais seulement)
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
TotalDomicileVisiteur
# VS Équipe 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
1Monsters1010000004-41010000004-40000000000000.0000000011002912261802614222200.00%110.00%0306248.39%245841.38%123237.50%473346122512
2Thunderbirds1010000023-1000000000001010000023-100.0002460011002712261803162134125.00%10100.00%0306248.39%245841.38%123237.50%473346122512
Total2020000027-51010000004-41010000023-100.00024600110056122618057204356116.67%2150.00%0306248.39%245841.38%123237.50%473346122512
_Since Last GM Reset2020000027-51010000004-41010000023-100.00024600110056122618057204356116.67%2150.00%0306248.39%245841.38%123237.50%473346122512
_Vs Conference2020000027-51010000004-41010000023-100.00024600110056122618057204356116.67%2150.00%0306248.39%245841.38%123237.50%473346122512

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
20L224656572043500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
202000027
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000004
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000023
Derniers 10 matchs
WLOTWOTL SOWSOL
020000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
6116.67%2150.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
12261801100
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
306248.39%245841.38%123237.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
473346122512


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2025-08-1311Monsters4Barracuda0LSommaire du match
3 - 2025-08-1417Barracuda2Thunderbirds3LSommaire du match
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-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
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-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3819
Assistance1,530680
Assistance PCT76.50%68.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 2210 - 73.67% 105,879$105,879$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
53,514$ 3,200,000$ 3,200,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 51,891$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 182 17,838$ 3,246,516$




Barracuda Leaders statistiques des joueurs (saison régulière)

# Nom du joueur 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 Subban147226486-248816111818411.96%193308420.98111627970001310%00.5600
3Jonathan Dahlen135324274-383418818131510.16%14257119.05412164100014247.91%00.5802
4James Livingston125314273-378913312823713.08%26196415.71214163100012144.24%00.7401
5Reece Willcox127195473-29266211815712.10%171268021.10101121770001220%00.5400

Barracuda Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien 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 Ahman61163340.8843.5631216118515940300.5008
4Tyson Sexsmith30000.9412.05880035100000

Barracuda Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année 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
Saison régulière
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
172020000027-51010000004-41010000023-1024600110056122618057204356116.67%2150.00%0306248.39%245841.38%123237.50%473346122512
Total Saison régulière166449805568485617-13283274404242262308-4683175401326223309-8612348586113460517915613916436714981381144983532516051012249547210021.19%42912072.03%32430511547.51%2659577246.07%1290278946.25%370124994165125921911065
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Barracuda Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur 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 Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA