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Connexion

Barracuda
GP: 10 | W: 3 | L: 6 | OTL: 1 | P: 7
GF: 31 | GA: 33 | PP%: 29.41% | PK%: 74.07%
DG: Michael Gadbois | Morale : 45 | Moyenne d’équipe : 62
Prochains matchs #157 vs Condors

Centre de jeu
Barracuda
3-6-1, 7pts
4
1 Iowa Wild
3-3-2, 8pts
Team Stats
L1SéquenceL3
1-4-0Fiche domicile2-3-1
2-2-1Fiche domicile1-0-1
3-6-1Derniers 10 matchs3-3-2
3.10Buts par match 2.88
3.30Buts contre par match 3.63
29.41%Pourcentage en avantage numérique17.39%
74.07%Pourcentage en désavantage numérique83.33%
Admirals
3-4-2, 8pts
5
1 Barracuda
3-6-1, 7pts
Team Stats
W2SéquenceL1
1-3-0Fiche domicile1-4-0
2-1-2Fiche domicile2-2-1
3-4-2Derniers 10 matchs3-6-1
2.22Buts par match 3.10
3.00Buts contre par match 3.30
10.00%Pourcentage en avantage numérique29.41%
60.00%Pourcentage en désavantage numérique74.07%
Barracuda
3-6-1, 7pts
2025-09-13
Condors
6-3-0, 12pts
Statistiques d’équipe
L1SéquenceSOW1
1-4-0Fiche domicile1-3-0
2-2-1Fiche visiteur5-0-0
3-6-110 derniers matchs6-3-0
3.10Buts par match 3.56
3.30Buts contre par match 3.56
29.41%Pourcentage en avantage numérique28.13%
74.07%Pourcentage en désavantage numérique74.07%
Thunderbirds
5-4-1, 11pts
2025-09-15
Barracuda
3-6-1, 7pts
Statistiques d’équipe
L1SéquenceL1
3-1-1Fiche domicile1-4-0
2-3-0Fiche visiteur2-2-1
5-4-110 derniers matchs3-6-1
3.30Buts par match 3.10
3.60Buts contre par match 3.10
16.00%Pourcentage en avantage numérique29.41%
70.73%Pourcentage en désavantage numérique74.07%
Bears
5-3-1, 11pts
2025-09-18
Barracuda
3-6-1, 7pts
Statistiques d’équipe
L1SéquenceL1
4-1-0Fiche domicile1-4-0
1-2-1Fiche visiteur2-2-1
5-3-110 derniers matchs3-6-1
3.33Buts par match 3.10
3.33Buts contre par match 3.10
19.05%Pourcentage en avantage numérique29.41%
70.59%Pourcentage en désavantage numérique74.07%
Meneurs d'équipe
Buts
Nikita Nesterenko
5
Passes
Nikita Nesterenko
6
Points
Nikita Nesterenko
11
Plus/Moins
Nikita Nesterenko
4
Victoires
Michael Houser
1
Pourcentage d’arrêts
Adam Ahman
0.937

Statistiques d’équipe
Buts pour
31
3.10 GFG
Tirs pour
287
28.70 Avg
Pourcentage en avantage numérique
29.4%
10 GF
Début de zone offensive
39.4%
Buts contre
33
3.30 GAA
Tirs contre
272
27.20 Avg
Pourcentage en désavantage numérique
74.1%%
7 GA
Début de la zone défensive
40.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure19
Limite contact 47 / 56
Espoirs21


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 Athanasiou0XX100.0063459974727579716868717168817038476703222,500,000$
2Sam Gagner0XX100.0058459771707272666265666566999718486703712,000,000$
3Dominik Kubalik0XX100.0062459871727786706170696870746342466603122,500,000$
4Brett Murray0XX100.007455807275797869627169736258505447650281750,000$
5Max Shabanov (R)0X100.006645957565767972507472716650456047650251900,000$
6Nikita Nesterenko (R)0X100.007245897871747471577465715950457047650251900,000$
7Luke Glendening0X100.0070459271697272667165667063966214476503712,000,000$
8Barclay Goodrow0XXX100.0076667771737271687663657064876330376503312,000,000$
9Jonathan Dahlen0XX100.0071458275707580667167675866695554476402811,200,000$
10Nikita Alexandrov0XXX100.006946927669737767696661685656456247630251900,000$
11Tucker Robertson (R)0X100.006548787269707067716667706445457047620233750,000$
12David Kase0XXX100.0057459672666579696067677262624750476202911,000,000$
13Mike Reilly0X100.0059459473727877714569667363775734476703312,100,000$
14Nikita Okhotyuk0X100.008045807871738570457062745656466244660251900,000$
15Jordan Subban0X100.0063458671687478714571706757715646476503111,200,000$
16Lassi Thomson0X100.006345867269777769456771716448456647640252750,000$
17Victor Soderstrom (R)0X100.006648797270707069456970736648507047640253750,000$
18Michael Vujojevic0X100.007266527273727265456862725748466642620252750,000$
Rayé
1Dillon Hamaliuk0XX100.006754717271696962616466655847465840600252750,000$
2Alexander Suzdalev (R)0XX100.006147887369505068596867706445457043600223750,000$
3Carl Dahlstrom0X100.0059459770787070704568656963524738456403131,150,000$
4Chase Hartje0X100.005542897370696758455451665949455840580261500,000$
5Kyle Masters (R)0X100.006046906967505059456260635745457040570233750,000$
6Veeti Vainio0X100.006545807268107574556576856555050405402911,000,000$
7Jacob Cederholm0X100.005945595555595352495151545546455040500281500,000$
MOYENNE D’ÉQUIPE100.00654885727068706756666568626152524563
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 Ahman0100.00828281758078797879838049506650640271750,000$
2Michael Houser4199.007878767778788481828378465230486403311,100,000$
Rayé
1Matthew Villata0100.00606262796058595858596246515437500272500,000$
MOYENNE D’ÉQUIPE99.6773747377737174727375734751504559
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Hanlon67786484999923CAN682100,000$


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
1Nikita NesterenkoBarracuda (SJ )C1056114207133951812.82%117717.77213721000092043.36%14300001.2400000110
2Max ShabanovBarracuda (SJ )RW104594003153161612.90%317017.090116170001140135.00%4000001.0500000012
3Andreas AthanasiouBarracuda (SJ )LW/RW9448-620682571616.00%117819.79246825000060039.73%7300010.9000000100
4Mike ReillyBarracuda (SJ )D10358-1201112132523.08%1019819.85224615000022000%000000.8100000020
5Jordan SubbanBarracuda (SJ )D10347-240711134623.08%821021.08112625000015000%000000.6600000000
6Brett MurrayBarracuda (SJ )C/RW10336-1609113211229.38%217617.69123716000080039.67%12100000.6800000100
7Nikita OkhotyukBarracuda (SJ )D10055-140246118100%1220420.4902242500007000%000000.4900000000
8Lassi ThomsonBarracuda (SJ )D100552405129780%1021821.82011425000017000%000000.4600000000
9Carl DahlstromBarracuda (SJ )D6044000730010%310517.5502201000013000%000000.7600000001
10Nikita AlexandrovBarracuda (SJ )C/LW/RW101231003111051210.00%011311.39101410000000055.10%4900000.5300000100
11Luke GlendeningBarracuda (SJ )C10033-1205913490%114314.37011190000100039.13%4600000.4200000000
12Tucker RobertsonBarracuda (SJ )C1021312045102520.00%1808.1000000000001044.12%6800000.7400000000
13David KaseBarracuda (SJ )C/LW/RW8033100157360%1698.6300000000000050.00%600000.8700000000
14Tyler MotteSharksLW/RW3112-1005360416.67%15618.7410146000080059.38%3200000.7100000000
15Dominik KubalikBarracuda (SJ )LW/RW8202-400912021710.00%414217.770004180000110046.15%2600000.2800000000
16Jonathan DahlenBarracuda (SJ )LW/RW8112-1006262616.67%18811.1000001000130075.00%400000.4500000000
17Victor SoderstromBarracuda (SJ )D10022-51006353160%1219319.3000031100008000%000000.2100000000
18Barclay GoodrowBarracuda (SJ )C/LW/RW10202-510012101851311.11%116116.1200018000070050.96%10400000.2500000000
19Michael VujojevicBarracuda (SJ )D4011-3201473000%36917.270000000002000%000000.2900000000
20Alexander SuzdalevBarracuda (SJ )LW/RW4011100123240%0266.7100000000000066.67%300000.7500000000
21Sam GagnerBarracuda (SJ )LW/RW9000-60034133110%017319.30000223000050034.38%640000000000000
Statistiques d’équipe totales ou en moyenne179315687-235001481532878120510.80%75295916.541017276726700021753143.90%77900010.5900000443
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 )41100.9371.92156215790000028100
2Michael HouserBarracuda (SJ )51310.8603.8030020191360000053010
3Matthew VillataBarracuda (SJ )41300.8394.162020114870200040000
Statistiques d’équipe totales ou en moyenne133710.8743.46659423830202001111110


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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 )G271999-07-31SWENo163 Lbs6 ft0NoNoProspectNoNo12024-06-19FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Alexander SuzdalevBarracuda (SJ )LW/RW222004-03-05RUSYes176 Lbs6 ft2NoNoProspectNoNo32026-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Andreas AthanasiouBarracuda (SJ )LW/RW321994-08-06CANNo190 Lbs6 ft2NoNoFree Agent2025-02-01NoNo22025-07-03FalseFalsePro & Farm2,500,000$0$0$No2,500,000$--------2,500,000$--------No--------Lien
Barclay GoodrowBarracuda (SJ )C/LW/RW331993-02-26CANNo209 Lbs6 ft2NoNoFree AgentNoNo12025-09-02FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Brett MurrayBarracuda (SJ )C/RW281998-07-20CANNo228 Lbs6 ft5NoNoTrade2025-10-02NoNo12024-06-03FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Carl DahlstromBarracuda (SJ )D311995-01-28SWENo231 Lbs6 ft4NoNoFree AgentNoNo32026-07-17FalseFalsePro & Farm1,150,000$0$0$No1,150,000$1,150,000$-------1,150,000$1,150,000$-------NoNo-------Lien
Chase HartjeBarracuda (SJ )D261999-12-17USANo172 Lbs5 ft11NoNoN/ANoNo12026-05-12FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
David KaseBarracuda (SJ )C/LW/RW291997-01-28CZENo170 Lbs5 ft9NoNoN/ANoNo12024-05-30FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Dillon HamaliukBarracuda (SJ )LW/RW252000-10-30CANNo190 Lbs6 ft3NoNoProspectNoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Dominik KubalikBarracuda (SJ )LW/RW311995-08-21CZENo192 Lbs6 ft2NoNoFree AgentNoNo22025-07-08FalseFalsePro & Farm2,500,000$0$0$No2,500,000$--------2,500,000$--------No--------Lien
Jacob CederholmBarracuda (SJ )D281998-01-30SWENo187 Lbs6 ft4NoNoN/ANoNo12026-05-12FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Jonathan DahlenBarracuda (SJ )LW/RW281997-12-20SWENo176 Lbs5 ft11NoNoN/ANoNo12024-05-30FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Jordan SubbanBarracuda (SJ )D311995-03-03CANNo182 Lbs5 ft9NoNoN/ANoNo12024-05-30FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Kyle MastersBarracuda (SJ )D232003-04-09CANYes174 Lbs6 ft1NoNoProspectNoNo32026-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Lassi ThomsonBarracuda (SJ )D252000-09-24FINNo192 Lbs6 ft0NoNoProspectNoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Luke GlendeningBarracuda (SJ )C371989-04-28USANo190 Lbs5 ft11NoNoFree AgentNoNo12025-09-02FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Matthew VillataBarracuda (SJ )G271999-06-03CANNo190 Lbs6 ft3NoNoTrade2025-09-02NoNo22025-09-02FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Max ShabanovBarracuda (SJ )RW252000-10-07RUSYes167 Lbs5 ft9NoNoFree AgentNoNo12026-05-05FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Michael HouserBarracuda (SJ )G331992-09-13USANo195 Lbs6 ft1NoNoTrade2026-09-01NoNo12026-07-03FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Michael VujojevicBarracuda (SJ )D252001-06-08CANNo215 Lbs6 ft3NoNoProspectNoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Mike ReillyBarracuda (SJ )D331993-07-13USANo191 Lbs6 ft2NoNoFree AgentNoNo12025-07-08FalseFalsePro & Farm2,100,000$0$0$No---------------------------Lien
Nikita AlexandrovBarracuda (SJ )C/LW/RW252000-09-16DEUNo177 Lbs6 ft1NoNoProspectNoNo12024-05-03FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Nikita NesterenkoBarracuda (SJ )C252001-09-10USAYes203 Lbs6 ft2NoNoFree AgentNoNo12026-05-05FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Nikita OkhotyukBarracuda (SJ )D252000-12-04RUSNo195 Lbs6 ft1NoNoProspectNoNo12024-05-03FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Sam GagnerBarracuda (SJ )LW/RW371989-08-10CANNo200 Lbs5 ft11NoNoFree AgentNoNo12025-09-02FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Tucker RobertsonBarracuda (SJ )C232003-06-22CANYes185 Lbs5 ft11NoNoProspectNoNo32026-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Veeti VainioBarracuda (SJ )D291997-06-16FINNo170 Lbs6 ft2NoNoFree AgentNoNo12024-09-13FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Victor SoderstromBarracuda (SJ )D252001-02-26SWEYes190 Lbs6 ft0NoNoProspectNoNo32026-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2828.14189 Lbs6 ft11.571,128,571$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andreas AthanasiouBarclay GoodrowSam Gagner32023
2Brett MurrayNikita NesterenkoMax Shabanov32023
3Dominik KubalikTucker RobertsonNikita Alexandrov21032
4Jonathan DahlenLuke GlendeningDavid Kase15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita OkhotyukMike Reilly37041
2Victor SoderstromLassi Thomson36041
3Michael VujojevicJordan Subban27041
4Michael VujojevicVictor Soderstrom0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andreas AthanasiouNikita NesterenkoMax Shabanov50014
2Sam GagnerNikita AlexandrovDominik Kubalik50104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SubbanLassi Thomson50122
2Victor SoderstromNikita Okhotyuk50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Barclay GoodrowLuke Glendening50140
2Nikita NesterenkoMax Shabanov50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyVictor Soderstrom50140
2Nikita OkhotyukLassi Thomson50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Luke Glendening50122Lassi ThomsonNikita Okhotyuk50122
2Barclay Goodrow50122Victor SoderstromMike Reilly50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Luke GlendeningDominik Kubalik50032
2Barclay GoodrowDavid Kase50032
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor SoderstromMike Reilly50122
2Lassi ThomsonNikita Okhotyuk50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andreas AthanasiouNikita NesterenkoMax ShabanovMike ReillyNikita Okhotyuk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikita NesterenkoBarclay GoodrowMax ShabanovNikita OkhotyukLassi Thomson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Alexandrov, Max Shabanov, Nikita NesterenkoNikita Nesterenko, Max ShabanovNikita Nesterenko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Victor Soderstrom, Lassi Thomson, Michael VujojevicJordan SubbanMichael Vujojevic, Lassi Thomson
Tirs de pénalité
Sam Gagner, Max Shabanov, Andreas Athanasiou, Tucker Robertson, Dominik Kubalik
Gardien
#1 : Michael Houser, #2 : Adam Ahman


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
1Admirals211000007521010000015-41100000060620.5007111801121180588293111142154286350.00%20100.00%013830645.10%12731440.45%7715749.04%2321612407212963
2Canucks2020000038-51010000023-11010000015-400.00036900121180738293111159111630800.00%8362.50%013830645.10%12731440.45%7715749.04%2321612407212963
3Icehogs11000000404110000004040000000000021.00048120112118024829311112646112150.00%30100.00%013830645.10%12731440.45%7715749.04%2321612407212963
4Iowa Wild11000000413000000000001100000041321.00047110012118029829311113210620300.00%30100.00%013830645.10%12731440.45%7715749.04%2321612407212963
5Monsters1010000025-3000000000001010000025-300.0002460012118020829311113010813300.00%4250.00%013830645.10%12731440.45%7715749.04%2321612407212963
6Reign1010000045-11010000045-10000000000000.000471100121180318293111128128113266.67%4175.00%013830645.10%12731440.45%7715749.04%2321612407212963
7Roadrunners1010000034-11010000034-10000000000000.0003580012118032829311112730175240.00%000%013830645.10%12731440.45%7715749.04%2321612407212963
8Silver Knights1000010045-1000000000001000010045-110.500481200121180208293111128106184250.00%3166.67%013830645.10%12731440.45%7715749.04%2321612407212963
Total1036001003133-2514000001417-3522001001716170.35031568702121180287829311112727554148341029.41%27774.07%013830645.10%12731440.45%7715749.04%2321612407212963
_Since Last GM Reset1036001003133-2514000001417-3522001001716170.35031568702121180287829311112727554148341029.41%27774.07%013830645.10%12731440.45%7715749.04%2321612407212963
_Vs Conference1036001003133-2514000001417-3522001001716170.35031568702121180287829311112727554148341029.41%27774.07%013830645.10%12731440.45%7715749.04%2321612407212963

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
107L1315687287272755414802
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
103601003133
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
51400001417
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52201001716
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
341029.41%27774.07%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
82931111121180
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
13830645.10%12731440.45%7715749.04%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2321612407212963


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
1 - 2025-08-251Roadrunners4Barracuda3LSommaire du match
2 - 2025-08-2614Reign5Barracuda4LSommaire du match
3 - 2025-08-2722Barracuda1Canucks5LSommaire du match
5 - 2025-08-2942Barracuda2Monsters5LSommaire du match
6 - 2025-08-3050Barracuda6Admirals0WSommaire du match
9 - 2025-09-0276Icehogs0Barracuda4WSommaire du match
11 - 2025-09-0492Barracuda4Silver Knights5LXSommaire du match
13 - 2025-09-06106Canucks3Barracuda2LSommaire du match
15 - 2025-09-08120Barracuda4Iowa Wild1WSommaire du match
17 - 2025-09-10137Admirals5Barracuda1LSommaire du match
20 - 2025-09-13157Barracuda-Condors-
22 - 2025-09-15170Thunderbirds-Barracuda-
25 - 2025-09-18194Bears-Barracuda-
27 - 2025-09-20204Barracuda-Canucks-
29 - 2025-09-22226Crunch-Barracuda-
32 - 2025-09-25246Barracuda-Reign-
34 - 2025-09-27258Wranglers-Barracuda-
38 - 2025-10-01287Marlies-Barracuda-
40 - 2025-10-03303Barracuda-StarsF-
42 - 2025-10-05311Barracuda-Silver Knights-
43 - 2025-10-06323Iowa Wild-Barracuda-
46 - 2025-10-09340Barracuda-Silver Knights-
48 - 2025-10-11355Crunch-Barracuda-
50 - 2025-10-13368Barracuda-Thunderbirds-
52 - 2025-10-15383Barracuda-Firebirds-
53 - 2025-10-16395Iowa Wild-Barracuda-
56 - 2025-10-19417Barracuda-Wranglers-
58 - 2025-10-21428Griffins-Barracuda-
60 - 2025-10-23446Barracuda-Iowa Wild-
62 - 2025-10-25459Barracuda-Canucks-
63 - 2025-10-26465PenguinsF-Barracuda-
66 - 2025-10-29487Condors-Barracuda-
68 - 2025-10-31506Barracuda-Roadrunners-
70 - 2025-11-02521Checkers-Barracuda-
73 - 2025-11-05544Moose-Barracuda-
75 - 2025-11-07560Barracuda-Wolf Pack-
77 - 2025-11-09578Barracuda-Thunderbirds-
78 - 2025-11-10585Condors-Barracuda-
81 - 2025-11-13607Barracuda-Admirals-
82 - 2025-11-14617Icehogs-Barracuda-
85 - 2025-11-17634Barracuda-Comets-
87 - 2025-11-19647Griffins-Barracuda-
91 - 2025-11-23674Barracuda-Gulls-
92 - 2025-11-24681Eagles-Barracuda-
95 - 2025-11-27707Gulls-Barracuda-
97 - 2025-11-29724Barracuda-Reign-
100 - 2025-12-02738Admirals-Barracuda-
102 - 2025-12-04757Barracuda-Eagles-
104 - 2025-12-06770Thunderbirds-Barracuda-
106 - 2025-12-08783Barracuda-Griffins-
108 - 2025-12-10795Barracuda-SenatorsF-
109 - 2025-12-11808Eagles-Barracuda-
112 - 2025-12-14825Barracuda-Roadrunners-
113 - 2025-12-15838Canucks-Barracuda-
117 - 2025-12-19862Barracuda-Wranglers-
118 - 2025-12-20872Phantoms-Barracuda-
121 - 2025-12-23895Gulls-Barracuda-
123 - 2025-12-25915Barracuda-Icehogs-
126 - 2025-12-28930Bears-Barracuda-
129 - 2025-12-31957Wolves-Barracuda-
131 - 2026-01-02969Barracuda-Condors-
133 - 2026-01-04987Barracuda-Icehogs-
134 - 2026-01-05992Barracuda-Americans-
136 - 2026-01-071004Barracuda-Gulls-
137 - 2026-01-081011Wolves-Barracuda-
140 - 2026-01-111035Monsters-Barracuda-
143 - 2026-01-141057Silver Knights-Barracuda-
147 - 2026-01-181085StarsF-Barracuda-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2026-01-191096Barracuda-Rocket-
151 - 2026-01-221118Monsters-Barracuda-
153 - 2026-01-241127Barracuda-Rocket-
155 - 2026-01-261142Barracuda-Eagles-
157 - 2026-01-281157Silver Knights-Barracuda-
159 - 2026-01-301171Barracuda-Monsters-
161 - 2026-02-011184Barracuda-Islanders-
162 - 2026-02-021196Roadrunners-Barracuda-
166 - 2026-02-061218Wranglers-Barracuda-
170 - 2026-02-101244StarsF-Barracuda-
172 - 2026-02-121255Barracuda-Griffins-
175 - 2026-02-151279Roadrunners-Barracuda-
176 - 2026-02-161290Barracuda-StarsF-
179 - 2026-02-191308Barracuda-BruinsF-
181 - 2026-02-211324Reign-Barracuda-
183 - 2026-02-231338Barracuda-BruinsF-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance10,0005,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 3000 - 100.00% 178,800$894,000$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
313,801$ 3,160,000$ 3,160,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 304,023$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,615,600$ 166 17,717$ 2,941,022$




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

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

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

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