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Barracuda
GP: 21 | W: 7 | L: 11 | OTL: 3 | P: 17
GF: 60 | GA: 70 | PP%: 21.15% | PK%: 70.83%
DG: Michael Gadbois | Morale : 41 | Moyenne d’équipe : 61
Prochains matchs #357 vs SenatorsF
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Centre de jeu
Admirals
10-9-3, 23pts
1
FINAL
3 Barracuda
7-11-3, 17pts
Team Stats
SOW1SéquenceSOL1
5-4-2Fiche domicile4-6-1
5-5-1Fiche domicile3-5-2
3-5-2Derniers 10 matchs3-5-2
3.32Buts par match 2.86
3.36Buts contre par match 3.33
21.54%Pourcentage en avantage numérique21.15%
78.79%Pourcentage en désavantage numérique70.83%
Barracuda
7-11-3, 17pts
2
FINAL
3 Admirals
10-9-3, 23pts
Team Stats
SOL1SéquenceSOW1
4-6-1Fiche domicile5-4-2
3-5-2Fiche domicile5-5-1
3-5-2Derniers 10 matchs3-5-2
2.86Buts par match 3.32
3.33Buts contre par match 3.36
21.15%Pourcentage en avantage numérique21.54%
70.83%Pourcentage en désavantage numérique78.79%
Barracuda
7-11-3, 17pts
2024-10-22
SenatorsF
14-6-1, 29pts
Statistiques d’équipe
SOL1SéquenceL1
4-6-1Fiche domicile9-1-1
3-5-2Fiche visiteur5-5-0
3-5-210 derniers matchs5-4-1
2.86Buts par match 4.19
3.33Buts contre par match 4.19
21.15%Pourcentage en avantage numérique23.29%
70.83%Pourcentage en désavantage numérique69.14%
Marlies
11-8-4, 26pts
2024-10-23
Barracuda
7-11-3, 17pts
Statistiques d’équipe
L2SéquenceSOL1
5-3-3Fiche domicile4-6-1
6-5-1Fiche visiteur3-5-2
1-7-210 derniers matchs3-5-2
3.87Buts par match 2.86
3.65Buts contre par match 2.86
23.19%Pourcentage en avantage numérique21.15%
86.21%Pourcentage en désavantage numérique70.83%
Wolf Pack
11-9-2, 24pts
2024-10-26
Barracuda
7-11-3, 17pts
Statistiques d’équipe
W2SéquenceSOL1
7-3-1Fiche domicile4-6-1
4-6-1Fiche visiteur3-5-2
5-4-110 derniers matchs3-5-2
3.18Buts par match 2.86
3.36Buts contre par match 2.86
20.31%Pourcentage en avantage numérique21.15%
81.54%Pourcentage en désavantage numérique70.83%
Meneurs d'équipe
Buts
James Livingston
5
Passes
Eddie Wittchow
12
Points
Jordan Subban
16
Plus/Moins
Eddie Wittchow
6
Victoires
Adam Ahman
7
Pourcentage d’arrêts
Francois Tremblay
0.962

Statistiques d’équipe
Buts pour
60
2.86 GFG
Tirs pour
543
25.86 Avg
Pourcentage en avantage numérique
21.2%
11 GF
Début de zone offensive
37.9%
Buts contre
70
3.33 GAA
Tirs contre
615
29.29 Avg
Pourcentage en désavantage numérique
70.8%%
14 GA
Début de la zone défensive
42.3%
Informations de l'équipe

Directeur généralMichael Gadbois
EntraîneurGlen Hanlon
DivisionDivision Pacifique
ConférenceConference 2
Capitaine
Assistant #1Vladimir Ruzicka
Assistant #2David Kase


Informations de l’aréna

Capacité3,000
Assistance2,099
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 56
Espoirs23


Historique d'équipe

Saison actuelle7-11-3 (17PTS)
Historique39-54-10 (0.379%)
Apparitions en séries éliminatoires 1
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
1Ryan SpoonerXXX100.006145987070808068626766676467624638640321900,000$
2Brent GatesX100.006345907170747471696969676651496035640271750,000$
3Jonathan DahlenXX100.0068457975707577687069686169635462546402631,200,000$
4Gabriel BourqueXX100.0052399868697375666367656465746543466303411,200,000$
5David Kase (A)XX100.0061459372666476705968697364564757426302731,000,000$
6James LivingstonXX100.006751867074677470646766686250473845620341800,000$
7Kyle Olson (R)XX100.006955757267707065726767666145456037620253750,000$
8Dane FoxXX100.005945917071706767656363696048455346610311800,000$
9Vladimir Ruzicka (A)X100.005040966669696865696262656066733437610351800,000$
10Marek ZagrapanX100.006045886868687066666465686349462644600371800,000$
11Radek SmolenakXX100.006346886871717465616164656652462641600371800,000$
12Daniel CatenacciX100.006345877069676866646266656251465039600311800,000$
13Jordan SubbanX99.0064458271687075714571686857655553476402931,200,000$
14Eddie WittchowX100.0060458071747075694570607245655650476403211,000,000$
15Michal JordanX100.005945977072808069456667686553454232640341900,000$
16Chase HartjeX100.005642877269686759455554665945456647580241750,000$
17Veeti VainioX99.0066457672681010604560616856545058385502731,000,000$
18Jacob CederholmX100.005545555555555555535555555545455536510261750,000$
Rayé
1Evgeny GrachevXX92.127147846875697168646766676355463837620341800,000$
2Nicklas LasuXX100.006450927168676666645964706046453835600351800,000$
3Brett BulmerXXX98.0762458468756364696260647260494547426003211,000,000$
4Roberts LipsbergsXX100.0057449171696464696069616660474556366003011,000,000$
5Erik ThorellXX100.0056459470676364636362606462454547355803211,000,000$
6Reece WillcoxX75.0756399472717276684570637345665651256503021,200,000$
MOYENNE D’ÉQUIPE98.46614587706967686659656467605450484061
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 Ahman (R)100.00817878757975767576807845457032620253750,000$
2Francois Tremblay100.00776968777673777476777247525652610301700,000$
Rayé
1Tyson Sexsmith100.00727067757575767676757346523440600351800,000$
MOYENNE D’ÉQUIPE100.0077727176777476757677744650534161
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Hanlon63716381999932CAN664100,000$


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
1Jordan SubbanBarracuda (SJ )D2151116-26024242581620.00%2645421.66235840000036100%000000.7000000001
2Eddie WittchowBarracuda (SJ )D21412166100171834101611.76%3645921.872351141000033010%000000.7000000102
3Dane FoxBarracuda (SJ )LW/RW214711-20016204912278.16%235817.080006260000140041.86%4300000.6100000111
4Evgeny GrachevBarracuda (SJ )LW/RW205611-38031223572414.29%435517.762131231000020044.68%14100000.6200000001
5Reece WillcoxBarracuda (SJ )D15279-6208141341215.38%1632721.86022522000028100%000100.5500000000
6Gabriel BourqueBarracuda (SJ )LW/RW21369220318396277.69%540619.370115250001200148.10%7900000.4403000200
7Brent GatesBarracuda (SJ )C16268-6001127317236.45%432020.041123240001190049.47%28100000.5001000002
8James LivingstonBarracuda (SJ )LW/RW17538-855241829132617.24%528716.921015200000111037.68%6900000.5601001010
9Jonathan DahlenBarracuda (SJ )LW/RW12358-52019182962610.34%024220.201342240000111041.61%14900000.6601000100
10Ryan SpoonerBarracuda (SJ )C/LW/RW925736012919101810.53%218520.580331190000110046.34%4100000.7600000101
11Michal JordanBarracuda (SJ )D1516721201481021410.00%1126517.6710111000114000%000000.5300000010
12Chase HartjeBarracuda (SJ )D21167-2120131215466.67%2835717.000001800008000%000000.3900000010
13David KaseBarracuda (SJ )LW/RW113363406122472112.50%417716.18011040001171136.73%4900000.6701000000
14Nicklas LasuBarracuda (SJ )LW/RW11235400591911510.53%111510.5000022000010050.00%3600000.8700000000
15Kyle OlsonBarracuda (SJ )LW/RW142353401051541413.33%115811.29000319000051047.62%10500000.6300000000
16Nikita OkhotyukSharksD8145180101317375.88%1218122.66101121700008000%000000.5500000010
17Daniel CatenacciBarracuda (SJ )C1123520026112718.18%21019.2700012000100028.95%3800000.9800000011
18Vladimir RuzickaBarracuda (SJ )C17235300217199910.53%223213.6800025000020051.37%18300000.4300000000
19Marek ZagrapanBarracuda (SJ )C18123-2406181061310.00%51639.0900012000030038.29%17500000.3700000000
20Brett BulmerBarracuda (SJ )C/LW/RW12213-400931151018.18%21139.4800003000030136.96%4600000.5300000100
21Aleksi HeponiemiSharksC/LW/RW30330001411380%06321.1600027000020051.61%3100000.9511000010
22Nikita AlexandrovSharksC/LW/RW1130304091529133110.34%321619.670004120000180050.30%16900000.2802000011
23Radek SmolenakBarracuda (SJ )LW/RW14202100531531013.33%0997.1100036000001048.84%4300000.4000000100
24Roberts LipsbergsBarracuda (SJ )LW/RW820200012103220.00%1567.0300000000010040.00%500000.7100000001
25Guillaume BriseboisSharksD7022-3408108270%413218.9701151300001000%000000.3000000000
26Andreas EnglundSharksD4011-180947550%28721.840114300009000%000000.2300000000
27Riley NashSharksLW/RW2101-1202430333.33%04020.0900004000020036.36%1100000.5000000000
28Veeti VainioBarracuda (SJ )D6011-220465330%810116.990004800003000%000000.2000000000
29Erik ThorellBarracuda (SJ )LW/RW4000-300010110%05012.5300001000010040.00%50000000000000
30Jacob CederholmBarracuda (SJ )D8000-2201321120%914818.620000400001000%00000000000000
Statistiques d’équipe totales ou en moyenne37860109169-22107529434254316040311.05%195626216.5711203110340800052997445.32%169900100.541100018811
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 )2171020.8813.41112700645370100.5006210100
2Francois TremblayBarracuda (SJ )40110.9621.23146203780000.6673021000
Statistiques d’équipe totales ou en moyenne2571130.8913.161273206761501092121100


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 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 Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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 )G251999-07-31Yes163 Lbs6 ft0NoNoTrade (Prospect)NoNo32024-06-19Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Brent GatesBarracuda (SJ )C271997-08-12 08:36:20No198 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Brett BulmerBarracuda (SJ )C/LW/RW321992-04-26No211 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Chase HartjeBarracuda (SJ )D241999-12-17No172 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Dane FoxBarracuda (SJ )LW/RW311993-10-13No190 Lbs6 ft1NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Daniel CatenacciBarracuda (SJ )C311993-03-09No193 Lbs5 ft10NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
David KaseBarracuda (SJ )LW/RW271997-01-28No170 Lbs5 ft9NoNoN/ANoNo32024-05-30Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Eddie WittchowBarracuda (SJ )D321992-10-01No189 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Erik ThorellBarracuda (SJ )LW/RW321992-03-03No178 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Evgeny Grachev (sur la masse salariale)Barracuda (SJ )LW/RW341990-02-21No211 Lbs6 ft4NoNoN/ANoNo1Pro & Farm800,000$0$0$Yes------------------Lien
Francois TremblayBarracuda (SJ )G301994-08-29No188 Lbs6 ft2NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Gabriel BourqueBarracuda (SJ )LW/RW341990-09-23No200 Lbs5 ft9NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Lien
Jacob CederholmBarracuda (SJ )D261998-01-30 08:37:39No187 Lbs6 ft4NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
James LivingstonBarracuda (SJ )LW/RW341990-03-08No213 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Jonathan DahlenBarracuda (SJ )LW/RW261997-12-20No176 Lbs5 ft11NoNoN/ANoNo32024-05-30Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Jordan SubbanBarracuda (SJ )D291995-03-03No182 Lbs5 ft9NoNoN/ANoNo32024-05-30Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Kyle OlsonBarracuda (SJ )LW/RW251999-03-22Yes172 Lbs6 ft0NoNoTrade (Prospect)NoNo32024-06-18Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Marek ZagrapanBarracuda (SJ )C371986-12-06No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Michal JordanBarracuda (SJ )D341990-07-17No205 Lbs6 ft1NoNoFree AgentNoNo12024-08-26Pro & Farm900,000$0$0$No------------------Lien
Nicklas LasuBarracuda (SJ )LW/RW351989-09-16No181 Lbs5 ft11NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Radek SmolenakBarracuda (SJ )LW/RW371986-12-03No209 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Reece Willcox (sur la masse salariale)Barracuda (SJ )D301994-03-20No184 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,200,000$0$0$Yes1,200,000$--------No--------Lien
Roberts LipsbergsBarracuda (SJ )LW/RW301994-07-29No194 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Ryan SpoonerBarracuda (SJ )C/LW/RW321992-01-30 06:27:40No198 Lbs5 ft11NoNoFree AgentNoNo12024-08-26Pro & Farm900,000$0$0$No------------------Lien
Tyson SexsmithBarracuda (SJ )G351989-03-19No195 Lbs5 ft11NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Veeti VainioBarracuda (SJ )D271997-06-16No170 Lbs6 ft2NoNoFree AgentNoNo32024-09-13Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Vladimir RuzickaBarracuda (SJ )C351989-02-17No175 Lbs6 ft1NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2730.78189 Lbs6 ft01.48898,148$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gabriel BourqueJonathan DahlenBrent Gates33023
2David KaseKyle OlsonRyan Spooner32023
3Daniel CatenacciMarek ZagrapanVladimir Ruzicka25122
4Radek SmolenakJames LivingstonDane Fox10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob CederholmVeeti Vainio38032
2Jordan SubbanEddie Wittchow34122
3Michal JordanChase Hartje28122
4Jacob CederholmEddie Wittchow0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan SpoonerKyle OlsonBrent Gates50014
2Daniel CatenacciJonathan DahlenDane Fox50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Veeti VainioJacob Cederholm50023
2Jordan SubbanEddie Wittchow50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dane FoxDavid Kase50122
2Jonathan DahlenRyan Spooner50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Veeti VainioMichal Jordan50122
2Jordan SubbanEddie Wittchow50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Gabriel Bourque50122Veeti VainioMichal Jordan50122
2Dane Fox50122Jordan SubbanEddie Wittchow50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dane FoxGabriel Bourque50122
2Brent GatesRadek Smolenak50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob CederholmVeeti Vainio50122
2Jordan SubbanEddie Wittchow50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gabriel BourqueJonathan DahlenBrent GatesVeeti VainioJacob Cederholm
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gabriel BourqueJonathan DahlenBrent GatesVeeti VainioJacob Cederholm
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dane Fox, Gabriel Bourque, Vladimir RuzickaDane Fox, Gabriel BourqueDane Fox
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Eddie Wittchow, Michal Jordan, Chase HartjeEddie WittchowEddie Wittchow, Michal Jordan
Tirs de pénalité
Jonathan Dahlen, Gabriel Bourque, Brent Gates, Veeti Vainio, Dane Fox
Gardien
#1 : Adam Ahman, #2 : Francois Tremblay


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
1Admirals32000001954220000007251000000123-150.83391827002319172861931531881960206448225.00%30100.00%027663443.53%34570748.80%14933244.88%462311533163280134
2Americans1010000035-2000000000001010000035-200.00036900231917222193153188193796183133.33%3166.67%027663443.53%34570748.80%14933244.88%462311533163280134
3Canucks2020000059-41010000025-31010000034-100.00051015002319172471931531881970276303133.33%30100.00%027663443.53%34570748.80%14933244.88%462311533163280134
4Condors11000000413000000000001100000041321.000461000231917230193153188194184174125.00%10100.00%027663443.53%34570748.80%14933244.88%462311533163280134
5Griffins10001000541000000000001000100054121.00059140023191723019315318819341381711100.00%3166.67%027663443.53%34570748.80%14933244.88%462311533163280134
6Gulls2010000157-21010000023-11000000134-110.2505914002319172401931531881969271630400.00%8187.50%027663443.53%34570748.80%14933244.88%462311533163280134
7Icehogs1010000004-41010000004-40000000000000.0000000023191722319315318819196016200.00%000%027663443.53%34570748.80%14933244.88%462311533163280134
8Iowa Wild1010000045-1000000000001010000045-100.000459002319172241931531881938101314200.00%4250.00%027663443.53%34570748.80%14933244.88%462311533163280134
9Monsters1010000034-11010000034-10000000000000.0003690023191721919315318819351012162150.00%6266.67%027663443.53%34570748.80%14933244.88%462311533163280134
10Roadrunners31100001911-22010000159-41100000042230.500918270023191728419315318819811814356233.33%7271.43%027663443.53%34570748.80%14933244.88%462311533163280134
11StarsF2110000067-12110000067-10000000000020.500681400231917258193153188196018123110220.00%6350.00%027663443.53%34570748.80%14933244.88%462311533163280134
12Thunderbirds21100000550110000004221010000013-220.5005101500231917258193153188195114417700.00%110.00%027663443.53%34570748.80%14933244.88%462311533163280134
13Wranglers1010000023-1000000000001010000023-100.0002460023191722219315318819201589000%3166.67%027663443.53%34570748.80%14933244.88%462311533163280134
Total21611010036070-101146000012936-71025010023134-3170.4056010916900231917254319315318819615195109294521121.15%481470.83%027663443.53%34570748.80%14933244.88%462311533163280134
_Since Last GM Reset21611010036070-101146000012936-71025010023134-3170.4056010916900231917254319315318819615195109294521121.15%481470.83%027663443.53%34570748.80%14933244.88%462311533163280134
_Vs Conference20610010035765-81146000012936-7924010022829-1170.4255710316000231917252119315318819578186103276491020.41%451371.11%027663443.53%34570748.80%14933244.88%462311533163280134

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2117SOL16010916954361519510929400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2161110036070
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
114600012936
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
102510023134
Derniers 10 matchs
WLOTWOTL SOWSOL
251002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
521121.15%481470.83%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
193153188192319172
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
27663443.53%34570748.80%14933244.88%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
462311533163280134


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 - 2024-09-0415Roadrunners4Barracuda1BLSommaire du match
5 - 2024-09-0731Barracuda4Roadrunners2AWSommaire du match
7 - 2024-09-0943Barracuda1Thunderbirds3ALSommaire du match
9 - 2024-09-1159Canucks5Barracuda2BLSommaire du match
11 - 2024-09-1372Barracuda3Canucks4ALSommaire du match
12 - 2024-09-1488Thunderbirds2Barracuda4BWSommaire du match
15 - 2024-09-17110StarsF4Barracuda6BWSommaire du match
17 - 2024-09-19125Barracuda4Condors1AWSommaire du match
19 - 2024-09-21139Barracuda4Iowa Wild5ALSommaire du match
21 - 2024-09-23149Icehogs4Barracuda0BLSommaire du match
23 - 2024-09-25168Barracuda3Gulls4ALXXSommaire du match
25 - 2024-09-27179Barracuda5Griffins4AWXSommaire du match
26 - 2024-09-28191Admirals1Barracuda4BWSommaire du match
29 - 2024-10-01213Gulls3Barracuda2BLSommaire du match
33 - 2024-10-05236Monsters4Barracuda3BLSommaire du match
36 - 2024-10-08254Barracuda2Wranglers3ALSommaire du match
38 - 2024-10-10266Roadrunners5Barracuda4BLXXSommaire du match
41 - 2024-10-13294StarsF3Barracuda0BLSommaire du match
44 - 2024-10-16310Barracuda3Americans5ALSommaire du match
46 - 2024-10-18326Admirals1Barracuda3BWSommaire du match
48 - 2024-10-20341Barracuda2Admirals3ALXXSommaire du match
50 - 2024-10-22357Barracuda-SenatorsF-
51 - 2024-10-23365Marlies-Barracuda-
54 - 2024-10-26387Wolf Pack-Barracuda-
58 - 2024-10-30410Barracuda-PenguinsF-
60 - 2024-11-01423Wranglers-Barracuda-
63 - 2024-11-04450Silver Knights-Barracuda-
65 - 2024-11-06459Barracuda-Griffins-
67 - 2024-11-08476Barracuda-Rocket-
69 - 2024-11-10488Wranglers-Barracuda-
72 - 2024-11-13514Griffins-Barracuda-
76 - 2024-11-17543Barracuda-Iowa Wild-
77 - 2024-11-18547Crunch-Barracuda-
80 - 2024-11-21574Barracuda-Condors-
81 - 2024-11-22579Phantoms-Barracuda-
84 - 2024-11-25599Barracuda-Firebirds-
85 - 2024-11-26612Griffins-Barracuda-
88 - 2024-11-29635Barracuda-Icehogs-
89 - 2024-11-30644Eagles-Barracuda-
93 - 2024-12-04672Roadrunners-Barracuda-
95 - 2024-12-06682Barracuda-Islanders-
98 - 2024-12-09706Barracuda-Bears-
99 - 2024-12-10709Firebirds-Barracuda-
102 - 2024-12-13737Checkers-Barracuda-
105 - 2024-12-16755Barracuda-Wranglers-
107 - 2024-12-18770Gulls-Barracuda-
109 - 2024-12-20785Barracuda-Eagles-
111 - 2024-12-22800Barracuda-Icehogs-
112 - 2024-12-23805Eagles-Barracuda-
114 - 2024-12-25818Barracuda-Admirals-
116 - 2024-12-27836Thunderbirds-Barracuda-
117 - 2024-12-28840Barracuda-Monsters-
119 - 2024-12-30856Barracuda-BruinsF-
121 - 2025-01-01872Condors-Barracuda-
123 - 2025-01-03882Barracuda-Canucks-
125 - 2025-01-05900Barracuda-Gulls-
126 - 2025-01-06908Barracuda-Reign-
128 - 2025-01-08923Monsters-Barracuda-
131 - 2025-01-11943Canucks-Barracuda-
133 - 2025-01-13966Barracuda-Monsters-
134 - 2025-01-14972Barracuda-Reign-
136 - 2025-01-16980Phantoms-Barracuda-
138 - 2025-01-181001Icehogs-Barracuda-
140 - 2025-01-201016Barracuda-Comets-
142 - 2025-01-221034Barracuda-StarsF-
144 - 2025-01-241041Moose-Barracuda-
147 - 2025-01-271066Iowa Wild-Barracuda-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2025-01-301091Barracuda-Silver Knights-
151 - 2025-01-311103Condors-Barracuda-
154 - 2025-02-031122Barracuda-Silver Knights-
156 - 2025-02-051132Barracuda-Eagles-
157 - 2025-02-061142Silver Knights-Barracuda-
161 - 2025-02-101167Reign-Barracuda-
163 - 2025-02-121179Barracuda-Roadrunners-
165 - 2025-02-141196Reign-Barracuda-
167 - 2025-02-161210Barracuda-Roadrunners-
171 - 2025-02-201226Iowa Wild-Barracuda-
172 - 2025-02-211233Barracuda-Thunderbirds-
176 - 2025-02-251259Wolves-Barracuda-
179 - 2025-02-281278Barracuda-Thunderbirds-
180 - 2025-03-011285Barracuda-StarsF-
183 - 2025-03-041310Wolves-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3819
Assistance15,4477,646
Assistance PCT70.21%69.51%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 2099 - 69.98% 99,188$1,091,068$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
634,301$ 2,225,000$ 2,225,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 607,805$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,975,640$ 136 12,568$ 1,709,248$




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
1Jordan Subban1031848660701178713313.53%140215520.9291120670001210%00.6100
2Eddie Wittchow10011516253275801278.66%134201820.194711500000120%00.6100
3Brent Gates89243458-186113120012.00%14175119.68414182510142048.57%00.6627
4Jonathan Dahlen88212950-2320121992249.38%6166018.8739122500003146.88%00.6002
5Scott Kosmachuk73252449-4682077120612.14%19131117.9768144100014135.00%00.7511

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 Tremblay42121550.9013.1621102211111250000.70617
3Adam Ahman2171020.8813.41112700645370100.5006
4Tyson Sexsmith20001.0000470001600000

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
1621611010036070-101146000012936-71025010023134-3176010916900231917254319315318819615195109294521121.15%481470.83%027663443.53%34570748.80%14933244.88%462311533163280134
Total Saison régulière103315403357313372-5952182602132162186-2451132801225151186-3588313549862031101068912276296685890869328798164315822796523.30%2828171.28%11507320746.99%1653359845.94%795172246.17%2290154425947851366662
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