Essayer le nouveau site
Connexion

Barracuda
GP: 33 | W: 9 | L: 19 | OTL: 5 | P: 23
GF: 89 | GA: 113 | PP%: 22.22% | PK%: 73.97%
DG: Michael Gadbois | Morale : 32 | Moyenne d’équipe : 61
Prochains matchs #574 vs Condors
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Barracuda
9-19-5, 23pts
3
FINAL
4 Iowa Wild
19-10-7, 45pts
Team Stats
L1SéquenceSOW1
6-10-2Fiche domicile9-5-3
3-9-3Fiche domicile10-5-4
1-7-2Derniers 10 matchs7-1-2
2.70Buts par match 3.69
3.42Buts contre par match 3.14
22.22%Pourcentage en avantage numérique21.30%
73.97%Pourcentage en désavantage numérique85.59%
Crunch
16-17-3, 35pts
3
FINAL
2 Barracuda
9-19-5, 23pts
Team Stats
L1SéquenceL1
10-4-3Fiche domicile6-10-2
6-13-0Fiche domicile3-9-3
5-5-0Derniers 10 matchs1-7-2
3.22Buts par match 2.70
3.31Buts contre par match 3.42
19.71%Pourcentage en avantage numérique22.22%
76.15%Pourcentage en désavantage numérique73.97%
Barracuda
9-19-5, 23pts
2024-11-21
Condors
15-18-4, 34pts
Statistiques d’équipe
L1SéquenceL2
6-10-2Fiche domicile9-7-1
3-9-3Fiche visiteur6-11-3
1-7-210 derniers matchs2-6-2
2.70Buts par match 2.49
3.42Buts contre par match 2.49
22.22%Pourcentage en avantage numérique18.42%
73.97%Pourcentage en désavantage numérique84.00%
Phantoms
14-17-4, 32pts
2024-11-22
Barracuda
9-19-5, 23pts
Statistiques d’équipe
L3SéquenceL1
9-8-1Fiche domicile6-10-2
5-9-3Fiche visiteur3-9-3
4-4-210 derniers matchs1-7-2
3.03Buts par match 2.70
3.69Buts contre par match 2.70
19.83%Pourcentage en avantage numérique22.22%
80.00%Pourcentage en désavantage numérique73.97%
Barracuda
9-19-5, 23pts
2024-11-25
Firebirds
17-14-4, 38pts
Statistiques d’équipe
L1SéquenceL2
6-10-2Fiche domicile9-6-3
3-9-3Fiche visiteur8-8-1
1-7-210 derniers matchs5-4-1
2.70Buts par match 3.49
3.42Buts contre par match 3.49
22.22%Pourcentage en avantage numérique22.12%
73.97%Pourcentage en désavantage numérique73.63%
Meneurs d'équipe
Buts
Ryan Spooner
8
Passes
Eddie Wittchow
16
Points
Eddie Wittchow
21
Plus/Moins
David Kase
6
Victoires
Adam Ahman
8
Pourcentage d’arrêts
Francois Tremblay
0.95

Statistiques d’équipe
Buts pour
89
2.70 GFG
Tirs pour
849
25.73 Avg
Pourcentage en avantage numérique
22.2%
16 GF
Début de zone offensive
37.0%
Buts contre
113
3.42 GAA
Tirs contre
1019
30.88 Avg
Pourcentage en désavantage numérique
74.0%%
19 GA
Début de la zone défensive
42.9%
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
Assistance2,096
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 56
Espoirs23


Historique d'équipe

Saison actuelle9-19-5 (23PTS)
Historique41-62-11 (0.360%)
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
1Jonathan DahlenXX99.0068457975707577687069686169635462466402631,200,000$
2Gabriel BourqueXX100.0052399868697375666367656465746543396303411,200,000$
3Kyle Olson (R)XX99.006955757267707065726767666145456031620253750,000$
4Evgeny GrachevXX100.007147846875697168646766676355463829620341800,000$
5Dane FoxXX99.075945917071706767656363696048455330610311800,000$
6Vladimir Ruzicka (A)X100.005040966669696865696262656066733430610351800,000$
7Nicklas LasuXX100.006450927168676666645964706046453826600351800,000$
8Marek ZagrapanX100.006045886868687066666465686349462629600371800,000$
9Brett BulmerXXX100.0062458468756364696260647260494547356003211,000,000$
10Reece WillcoxX100.0056399472717275684570637345665651236503021,200,000$
11Jordan SubbanX100.0064458271687075714571686857655553406402931,200,000$
12Eddie WittchowX100.0060458071747075694570607245655650406403211,000,000$
13Michal JordanX100.005945977072808069456667686553454216640341900,000$
14Chase HartjeX100.005642877269686759455554665945456640580241750,000$
15Veeti VainioX100.0066457672681010604560616856545058315502731,000,000$
Rayé
1Ryan SpoonerXXX96.006145987070808068626766676467624634640321900,000$
2David Kase (A)XX96.0061459372666476705968697364564757356302731,000,000$
3James LivingstonXX96.006751867074677470646766686250473838620341800,000$
4Radek SmolenakXX100.006346886871717465616164656652462632600371800,000$
5Roberts LipsbergsXX100.0057449171696464696069616660474556286003011,000,000$
6Daniel CatenacciX100.006345877069676866646266656251465029600311800,000$
7Erik ThorellXX100.0056459470676364636362606462454547235803211,000,000$
8Jacob CederholmX100.005545555555555555535555555545455530510261750,000$
MOYENNE D’ÉQUIPE99.35614587706966686659646467605550483261
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)98.00817878757975767576807845457015620253750,000$
2Francois Tremblay100.00776968777673777476777247525648610301700,000$
Rayé
1Tyson Sexsmith100.00727067757575767676757346523434600351800,000$
MOYENNE D’ÉQUIPE99.3377727176777476757677744650533261
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
1Eddie WittchowBarracuda (SJ )D3351621-2140273245152611.11%4672622.023471760000052010%000000.5800000112
2Jordan SubbanBarracuda (SJ )D3351520-9100353334142414.71%4171921.802351359000054100%000000.5600000001
3Gabriel BourqueBarracuda (SJ )LW/RW3361218-2205306515459.23%963919.370226340111250148.18%11000000.5603000300
4Ryan SpoonerBarracuda (SJ )C/LW/RW188816160152245163317.78%638021.111565380000260048.60%10700000.8401000102
5Evgeny GrachevBarracuda (SJ )LW/RW268715010036265392815.09%444317.042131231000020043.62%14900000.6800000101
6Brent GatesSharksC2341014-112019334510398.89%645919.962248380001200049.13%28700000.6101000202
7Jonathan DahlenBarracuda (SJ )LW/RW245914-10604454539389.43%049820.761456400000252047.07%39300000.5601000110
8Reece WillcoxBarracuda (SJ )D193912-52012161741517.65%2241521.86123624000034110%000100.5800000000
9Dane FoxBarracuda (SJ )LW/RW305712-20019256013438.33%545415.150007390002240040.28%7200000.5300000121
10David KaseBarracuda (SJ )LW/RW23571264093947165210.64%640417.59011071012381237.68%6900000.5902000000
11James LivingstonBarracuda (SJ )LW/RW296511-20115373855234310.91%1050917.561015230000161046.10%29500000.4301001011
12Michal JordanBarracuda (SJ )D201101131402212164196.25%1536718.3712335000121000%000000.6000000010
13Kyle OlsonBarracuda (SJ )LW/RW26371051753122318349.68%138814.920114390001141048.41%37800000.5201001001
14Chase HartjeBarracuda (SJ )D331910-4160251718575.56%4556617.1600019000019000%000000.3500000010
15Vladimir RuzickaBarracuda (SJ )C29268-6006243513235.71%541214.2100027000020051.78%19700000.3900000000
16Nikita AlexandrovSharksC/LW/RW15516-140102148173510.42%429319.580005140000201049.44%18000000.4102000021
17Nicklas LasuBarracuda (SJ )LW/RW20235400712283177.14%11497.5000044000020052.50%4000000.6700000000
18Nikita OkhotyukSharksD9145180111518385.56%1219922.19101121800009000%000000.5000000010
19Daniel CatenacciBarracuda (SJ )C14235300461531313.33%21198.5000027000100028.21%3900000.8400000011
20Justin HollSharksD532500074144421.43%311122.241016800007000%000000.9000000001
21Marek ZagrapanBarracuda (SJ )C25224-4406231581513.33%62018.0500012000060039.62%21200000.4000000000
22Brett BulmerBarracuda (SJ )C/LW/RW20213-400931151018.18%21175.8700003000030136.96%4600000.5100000100
23Aleksi HeponiemiSharksC/LW/RW30330001411380%06321.1600027000020051.61%3100000.9511000010
24Roberts LipsbergsBarracuda (SJ )LW/RW16213-80058228149.09%21579.8600000000010042.86%700000.3800000001
25Radek SmolenakBarracuda (SJ )LW/RW16202100651531313.33%01066.6400036000001048.84%4300000.3800000100
26Jacob CederholmBarracuda (SJ )D17011-4202256220%1834120.10000018000014000%000000.0600000000
27Andreas EnglundSharksD4011-180947550%28721.840114300009000%000000.2300000000
28Riley NashSharksLW/RW2101-1202430333.33%04020.0900004000020036.36%1100000.5000000000
29Veeti VainioBarracuda (SJ )D18011-1014011119450%1929216.2300041300008000%000000.0700000000
30Erik ThorellBarracuda (SJ )LW/RW4000-300010110%05012.5300001000010040.00%50000000000000
Statistiques d’équipe totales ou en moyenne58789160249-831561045254984124362210.58%292971516.5516284413857411294699646.42%267100100.51113002121215
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 )3381840.8843.521739201028790100.5008330110
2Francois TremblayBarracuda (SJ )81110.9501.622602071400100.6673033000
Statistiques d’équipe totales ou en moyenne4191950.8933.272000401091019020113333110


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-------
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 GrachevBarracuda (SJ )LW/RW341990-02-21No211 Lbs6 ft4NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------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 WillcoxBarracuda (SJ )D301994-03-20No184 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------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
2630.92188 Lbs6 ft01.50903,846$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan DahlenDane Fox33023
2Kyle OlsonEvgeny Grachev32023
3Gabriel BourqueVladimir Ruzicka25122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michal JordanReece Willcox38032
2Jordan SubbanEddie Wittchow34122
3Veeti VainioChase Hartje28122
4Reece WillcoxEddie Wittchow0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle Olson50014
2Jonathan DahlenVladimir Ruzicka50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reece WillcoxMichal Jordan50023
2Jordan SubbanEddie Wittchow50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Kyle Olson50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reece WillcoxChase Hartje50122
2Jordan SubbanEddie Wittchow50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jonathan Dahlen50122Chase HartjeReece Willcox50122
250122Jordan SubbanEddie Wittchow50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jonathan Dahlen50122
2Kyle Olson50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reece WillcoxChase Hartje50122
2Jordan SubbanEddie Wittchow50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan DahlenReece WillcoxMichal Jordan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan DahlenReece WillcoxMichal Jordan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonathan Dahlen, , Vladimir Ruzicka,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Eddie Wittchow, Jordan Subban, Chase HartjeEddie WittchowEddie Wittchow, Jordan Subban
Tirs de pénalité
Kyle Olson, , , Vladimir Ruzicka,
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
1Admirals32000001954220000007251000000123-150.83391827003326292862862522982660206448225.00%30100.00%044997446.10%543113048.05%24852846.97%735499831252437211
2Americans1010000035-2000000000001010000035-200.00036900332629222286252298263796183133.33%3166.67%044997446.10%543113048.05%24852846.97%735499831252437211
3Canucks2020000059-41010000025-31010000034-100.00051015003326292472862522982670276303133.33%30100.00%044997446.10%543113048.05%24852846.97%735499831252437211
4Condors11000000413000000000001100000041321.000461000332629230286252298264184174125.00%10100.00%044997446.10%543113048.05%24852846.97%735499831252437211
5Crunch1010000023-11010000023-10000000000000.0002460033262923028625229826369817100.00%4250.00%044997446.10%543113048.05%24852846.97%735499831252437211
6Griffins30201000912-31010000025-32010100077020.333917260033262927628625229826982618482150.00%8362.50%044997446.10%543113048.05%24852846.97%735499831252437211
7Gulls2010000157-21010000023-11000000134-110.2505914003326292402862522982669271630400.00%8187.50%044997446.10%543113048.05%24852846.97%735499831252437211
8Icehogs1010000004-41010000004-40000000000000.0000000033262922328625229826196016200.00%000%044997446.10%543113048.05%24852846.97%735499831252437211
9Iowa Wild2010000179-2000000000002010000179-210.250711180033262925528625229826722319244125.00%7271.43%044997446.10%543113048.05%24852846.97%735499831252437211
10Marlies11000000514110000005140000000000021.000591400332629239286252298262399145240.00%20100.00%044997446.10%543113048.05%24852846.97%735499831252437211
11Monsters1010000034-11010000034-10000000000000.0003690033262921928625229826351012162150.00%6266.67%044997446.10%543113048.05%24852846.97%735499831252437211
12PenguinsF1010000025-3000000000001010000025-300.00024600332629227286252298261482115120.00%10100.00%044997446.10%543113048.05%24852846.97%735499831252437211
13Roadrunners31100001911-22010000159-41100000042230.500918270033262928428625229826811814356233.33%7271.43%044997446.10%543113048.05%24852846.97%735499831252437211
14Rocket1010000012-1000000000001010000012-100.0001230033262922128625229826273012100.00%000%044997446.10%543113048.05%24852846.97%735499831252437211
15SenatorsF1010000016-5000000000001010000016-500.00012300332629221286252298264315214100.00%10100.00%044997446.10%543113048.05%24852846.97%735499831252437211
16Silver Knights1010000013-21010000013-20000000000000.000123003326292202862522982647867100.00%30100.00%044997446.10%543113048.05%24852846.97%735499831252437211
17StarsF2110000067-12110000067-10000000000020.500681400332629258286252298266018123110220.00%6350.00%044997446.10%543113048.05%24852846.97%735499831252437211
18Thunderbirds21100000550110000004221010000013-220.5005101500332629258286252298265114417700.00%110.00%044997446.10%543113048.05%24852846.97%735499831252437211
19Wolf Pack1000010034-11000010034-10000000000010.5003580033262921628625229826458414100.00%2150.00%044997446.10%543113048.05%24852846.97%735499831252437211
20Wranglers31200000910-1211000007701010000023-120.333915240033262927728625229826913016452150.00%7185.71%144997446.10%543113048.05%24852846.97%735499831252437211
Total338190110489113-2418610001014959-101529010034054-14230.34889162251003326292849286252298261019296164460721622.22%731973.97%144997446.10%543113048.05%24852846.97%735499831252437211
_Since Last GM Reset338190110489113-2418610001014959-101529010034054-14230.34889162251003326292849286252298261019296164460721622.22%731973.97%144997446.10%543113048.05%24852846.97%735499831252437211
_Vs Conference26714010047287-151559000013951-121125010033336-3200.3857213020200332629267328625229826794235133360551221.82%601575.00%144997446.10%543113048.05%24852846.97%735499831252437211

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3323L189162251849101929616446000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
33819110489113
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1861001014959
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
152910034054
Derniers 10 matchs
WLOTWOTL SOWSOL
170101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
721622.22%731973.97%1
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
286252298263326292
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
44997446.10%543113048.05%24852846.97%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
735499831252437211


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 - 2024-10-22357Barracuda1SenatorsF6ALSommaire du match
51 - 2024-10-23365Marlies1Barracuda5BWSommaire du match
54 - 2024-10-26387Wolf Pack4Barracuda3BLXSommaire du match
58 - 2024-10-30410Barracuda2PenguinsF5ALSommaire du match
60 - 2024-11-01423Wranglers3Barracuda2BLSommaire du match
63 - 2024-11-04450Silver Knights3Barracuda1BLSommaire du match
65 - 2024-11-06459Barracuda2Griffins3ALSommaire du match
67 - 2024-11-08476Barracuda1Rocket2ALSommaire du match
69 - 2024-11-10488Wranglers4Barracuda5BWSommaire du match
72 - 2024-11-13514Griffins5Barracuda2BLSommaire du match
76 - 2024-11-17543Barracuda3Iowa Wild4ALXXSommaire du match
77 - 2024-11-18547Crunch3Barracuda2BLSommaire du match
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
Assistance25,48912,243
Assistance PCT70.80%68.02%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 2096 - 69.87% 99,433$1,789,788$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,056,110$ 2,350,000$ 2,350,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,013,403$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,286,951$ 106 13,243$ 1,403,758$




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 Subban115185270-7741289614212.68%155241921.0491120720001210%00.5800
2Eddie Wittchow112125567-33685941388.70%144228620.415813560000120%00.5900
3Brent Gates96263864-6106913721412.15%16188919.69515203010142048.51%00.6827
4Jonathan Dahlen100233356-28241461352489.27%6191619.16310132900004148.04%00.5802
5Gabriel Bourque103193756-168238517710.73%19199119.34511162801153347.05%00.5606

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 Tremblay46131550.9033.1022242211511870100.70617
3Adam Ahman3381840.8843.521739201028790100.5008
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
16338190110489113-2418610001014959-101529010034054-142389162251003326292849286252298261019296164460721622.22%731973.97%144997446.10%543113048.05%24852846.97%735499831252437211
Total Saison régulière115336203458342415-7359203002232182209-2756133201226160206-46943426029440312011310112306810599571018763691108269817482997023.41%3078671.99%21680354747.36%1851402146.03%894191846.61%2564173228938741523739
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