Barracuda
GP: 58 | W: 36 | L: 17 | OTL: 5 | P: 77
GF: 260 | GA: 195 | PP%: 26.80% | PK%: 82.04%
DG: Pierre-Luc Bouchard | Morale : 75 | Moyenne d’équipe : 61
Prochain matchs #969 vs Rocket
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Centre de jeu
Condors
39-18-4, 82pts
7
FINAL
4 Barracuda
36-17-5, 77pts
Team Stats
W5StreakW1
20-9-0Home Record19-8-2
19-9-4Away Record17-9-3
8-2-0Last 10 Games6-4-0
3.98Buts par match 4.48
2.95Buts contre par match 3.36
20.92%Pourcentage en avantage numérique26.80%
77.62%Pourcentage en désavantage numérique82.04%
Moose
30-27-2, 62pts
1
FINAL
4 Barracuda
36-17-5, 77pts
Team Stats
L1StreakW1
15-11-2Home Record19-8-2
15-16-0Away Record17-9-3
7-3-0Last 10 Games6-4-0
3.80Buts par match 4.48
3.61Buts contre par match 3.36
24.86%Pourcentage en avantage numérique26.80%
73.91%Pourcentage en désavantage numérique82.04%
Rocket
23-31-5, 51pts
2026-03-03
Barracuda
36-17-5, 77pts
Statistiques d’équipe
L6SéquenceW1
12-15-3Fiche domicile19-8-2
11-16-2Fiche visiteur17-9-3
2-7-110 derniers matchs6-4-0
3.75Buts par match 4.48
4.51Buts contre par match 3.36
22.67%Pourcentage en avantage numérique26.80%
72.13%Pourcentage en désavantage numérique82.04%
Thunderbirds
11-45-4, 26pts
2026-03-06
Barracuda
36-17-5, 77pts
Statistiques d’équipe
W3SéquenceW1
6-24-2Fiche domicile19-8-2
5-21-2Fiche visiteur17-9-3
5-5-010 derniers matchs6-4-0
3.28Buts par match 4.48
5.78Buts contre par match 3.36
17.42%Pourcentage en avantage numérique26.80%
75.15%Pourcentage en désavantage numérique82.04%
Sound Tigers
38-18-5, 81pts
2026-03-07
Barracuda
36-17-5, 77pts
Statistiques d’équipe
W1SéquenceW1
18-9-2Fiche domicile19-8-2
20-9-3Fiche visiteur17-9-3
5-4-110 derniers matchs6-4-0
4.05Buts par match 4.48
2.98Buts contre par match 3.36
15.47%Pourcentage en avantage numérique26.80%
80.23%Pourcentage en désavantage numérique82.04%
Meneurs d'équipe
Linus KarlssonButs
Linus Karlsson
13
Kale ClaguePasses
Kale Clague
30
Kale ClaguePoints
Kale Clague
34
Oskar BackPlus/Moins
Oskar Back
9
Eric ComrieVictoires
Eric Comrie
27
Eric ComriePourcentage d’arrêts
Eric Comrie
0.91

Statistiques d’équipe
Buts pour
260
4.48 GFG
Tirs pour
2391
41.22 Avg
Pourcentage en avantage numérique
26.8%
52 GF
Début de zone offensive
41.4%
Buts contre
195
3.36 GAA
Tirs contre
2130
36.72 Avg
Pourcentage en désavantage numérique
82.0%
30 GA
Début de la zone défensive
40.3%
Information d’équipe

Directeur généralPierre-Luc Bouchard
EntraîneurJoel Ward
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,284
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure22
Limite contact 46 / 80
Espoirs30


Historique d'équipe

Saison actuelle36-17-5 (77PTS)
Historique71-59-8 (0.514%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
Stanley Cup0


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 moyen
1James Hamblin (R)0X100.00593690666782776467616260656768075630262930,700$
2Justin Hryckowian0X100.00673983647176756372656261636467075630242750,000$
3Cole Reinhardt (R)0X100.00714169627980826068615964626567075620252750,000$
4Oliver Okuliar (R)0X100.00694559617883726064626160636567075620253950,000$
5Clark Bishop0X100.00683975627776845766595865566971075620291750,000$
6Riley Duran0X100.00733693587280735663575859566365075610231750,000$
7Dylan Wendt0X100.00673795597669625755585654596466075600242750,000$
8Cameron Butler0X100.00724561568967765552535457566365075590232750,000$
9Riley Hughes0X100.00633888577265665458555653576567075580252750,000$
10Keean Washkurak (R)0X100.005840725667728553605455525665660755802431,000,000$
11Hunter Drew (R)63X100.00705350617975775930576058516769075610261750,000$
12Marshall Rifai0X100.00724268598377835730555458476769075600272750,000$
13Kurtis MacDermid0X100.007689645896667256625154555972740756003121,174,000$
14Mike Benning0X100.00573879606675835930625755486365075600231750,000$
15Connor Corcoran (R)0X100.00683891557774685330545256456567075580253950,000$
16Scott Walford0X100.00703895547962695330525155456668075580261750,000$
Rayé
1Ben Jones (R)0X100.006940796372848862696158606467680756302631,000,000$
2Spencer Kersten0X100.00553883566771615552535451536567075570252750,000$
3Kyle Mayhew0X100.00623595636168646230655654496870075610271750,000$
4Nick Leivermann0X100.00613791597068665830615355466769075600272750,000$
5Ethan Frisch0X100.00583882567166825430555356456567075580242750,000$
MOYENNE D’ÉQUIPE100.0066427959757375575058565755666807560
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 moyen
1Eric Comrie100.00817773758079818079818070840756903021,352,000$
2Kenneth Appleby100.0075807593747375747375747084075670302750,000$
Rayé
1Louis Domingue100.0074827785737274737274737587075660331775,000$
MOYENNE D’ÉQUIPE100.007780758476757776757776728507567
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Ward64727371666182CAN441500,000$


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
1James HamblinBarracuda (SJS)LW5843378031406114533110324112.99%30139624.08710174515210181496260.61%16500021.1501000455
2Justin HryckowianBarracuda (SJS)C582146671210069187229821929.17%20103217.8041115321090001862056.17%148300011.3001000431
3Cole ReinhardtBarracuda (SJS)LW4524345827140921012076013511.59%1179817.756814441050000251261.64%7300001.4501000282
4Ben JonesBarracuda (SJS)C4919345314215481161854812410.27%1474915.300336150002513157.06%87100001.4101000214
5Kyle MayhewBarracuda (SJS)D57113647-151408181100244711.00%77120921.229716571490000137310.00%000000.7800000024
6Oliver OkuliarBarracuda (SJS)LW5823244781610102842025115411.39%1789015.361125160001553055.29%8500001.0601020135
7Mike BenningBarracuda (SJS)D52536412824046597720456.49%6796818.622573193011186000.00%000000.8500000200
8Kale ClagueSharksD3943034-323579626132556.56%4395524.503121536106000083100.00%000000.7100000110
9Clark BishopBarracuda (SJS)C58171633812071871464611011.64%1963210.9121313250001220254.74%71800001.0401000414
10Cameron ButlerBarracuda (SJS)RW56131932847514161162321198.02%12104518.6625725102000001148.00%7500000.6100010122
11Dylan WendtBarracuda (SJS)RW46141327-41207242119348311.76%374616.2425737120000004150.94%5300000.7200000112
12Brian PinhoSharksC20121527240277488156013.64%1444822.42461016601122491053.81%57800101.2001000410
13Oskar BackSharksC136212794029457019558.57%634126.241679311122321163.35%47200011.5801000122
14Hunter DrewBarracuda (SJS)D3891726164951393475213712.00%4281121.362573399011180210.00%000000.6400010202
15Linus KarlssonSharksRW13131225820263683223215.66%633125.472466311122352276.19%2100021.5101000310
16Kurtis MacDermidBarracuda (SJS)D40517222760101152945142611.11%4672018.023141674022052110.00%000000.6101002013
17Riley DuranBarracuda (SJS)C5831215158021555011416.00%83526.08000380000131045.45%24200000.8500000100
18Marshall RifaiBarracuda (SJS)D401131422008924246204.17%3754113.5500025000026000.00%000000.5200000000
19Nick LeivermannBarracuda (SJS)D4411011-61003224236124.35%4051411.69000416000044000.00%000000.4300000001
20Riley HughesBarracuda (SJS)RW2245910208214092610.00%438917.7100000000000052.10%11900000.4600000000
21Connor CorcoranBarracuda (SJS)D11347660178112527.27%714313.020001000003000.00%200000.9800000100
22Ethan FrischBarracuda (SJS)D111237008552220.00%1012411.2900000000010000.00%000000.4800000000
23Scott WalfordBarracuda (SJS)D31120405120050.00%23612.090000000004000.00%000001.1000000000
24Keean WashkurakBarracuda (SJS)C3000000000000.00%020.99000000000000100.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne89225345470718237640137813812335659162110.84%5351518317.02509014042113284711211053321556.01%495800160.93010042343237
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
1Eric ComrieBarracuda (SJS)43271220.9103.2224072012914330410.8577432324
2Kenneth ApplebyBarracuda (SJS)219430.9103.42106900616770000.50021543110
Statistiques d’équipe totales ou en moyenne64361650.9103.2834762019021100410.77895845434


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial 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 10Link
Ben JonesBarracuda (SJS)C261999-02-26Yes187 Lbs6 ft0NoNoNo3Pro & Farm1,000,000$234,375$1,000,000$234,375$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Cameron ButlerBarracuda (SJS)RW232002-06-09No210 Lbs6 ft4NoNoNo2Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$Lien / Lien NHL
Clark BishopBarracuda (SJS)C291996-03-29No197 Lbs6 ft1NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Cole ReinhardtBarracuda (SJS)LW252000-02-01Yes207 Lbs6 ft1NoNoNo2Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$Lien / Lien NHL
Connor CorcoranBarracuda (SJS)D252000-08-07Yes185 Lbs6 ft2NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Dylan WendtBarracuda (SJS)RW242001-01-09No195 Lbs6 ft1NoNoNo2Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$Lien / Lien NHL
Eric Comrie (contrat à 1 volet)Barracuda (SJS)G301995-07-06No190 Lbs6 ft1NoNoYes2Pro & Farm1,352,000$316,875$1,352,000$316,875$1,352,000$316,875$No1,352,000$Lien / Lien NHL
Ethan FrischBarracuda (SJS)D242000-10-29No192 Lbs5 ft11NoNoNo2Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$Lien / Lien NHL
Hunter DrewBarracuda (SJS)D261998-10-21Yes191 Lbs6 ft2NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
James HamblinBarracuda (SJS)LW261999-04-27Yes185 Lbs5 ft10NoNoNo2Pro & Farm930,700$218,133$930,700$218,133$0$0$No930,700$Lien / Lien NHL
Justin HryckowianBarracuda (SJS)C242001-02-23No195 Lbs5 ft11NoNoNo2Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$Lien / Lien NHL
Keean WashkurakBarracuda (SJS)C242001-08-16Yes184 Lbs5 ft10NoNoNo3Pro & Farm1,000,000$234,375$1,000,000$234,375$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Kenneth ApplebyBarracuda (SJS)G301995-04-10No216 Lbs6 ft5NoNoNo2Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$Lien / Lien NHL
Kurtis MacDermid (contrat à 1 volet)Barracuda (SJS)D311994-03-25No233 Lbs6 ft5NoNoNo2Pro & Farm1,174,000$275,156$1,174,000$275,156$1,174,000$275,156$No1,174,000$Lien / Lien NHL
Kyle MayhewBarracuda (SJS)D271997-12-25No161 Lbs5 ft8NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Louis DomingueBarracuda (SJS)G331992-03-06No207 Lbs6 ft3NoNoNo1Pro & Farm775,000$181,641$775,000$181,641$0$0$NoLien / Lien NHL
Marshall RifaiBarracuda (SJS)D271998-03-16No205 Lbs6 ft2NoNoNo2Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$Lien / Lien NHL
Mike BenningBarracuda (SJS)D232002-01-05No185 Lbs5 ft9NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Nick LeivermannBarracuda (SJS)D271998-09-14No190 Lbs5 ft11NoNoNo2Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$Lien / Lien NHL
Oliver OkuliarBarracuda (SJS)LW252000-05-24Yes190 Lbs6 ft2NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Riley DuranBarracuda (SJS)C232002-01-25No174 Lbs6 ft1NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Riley HughesBarracuda (SJS)RW252000-06-27No173 Lbs6 ft1NoNoNo2Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$Lien / Lien NHL
Scott WalfordBarracuda (SJS)D261999-01-12No193 Lbs6 ft2NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Spencer KerstenBarracuda (SJS)RW252000-05-16No185 Lbs5 ft10NoNoNo2Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2426.17193 Lbs6 ft11.88838,821$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James HamblinJustin HryckowianDylan Wendt40122
2Oliver OkuliarClark BishopCameron Butler30122
3Cole ReinhardtRiley DuranRiley Hughes20122
4Justin HryckowianKeean WashkurakJames Hamblin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter Drew40122
2Mike Benning30122
3Kurtis MacDermidMarshall Rifai20122
4Scott WalfordConnor Corcoran10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James HamblinJustin HryckowianDylan Wendt60122
2Oliver OkuliarClark BishopCameron Butler40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter Drew60122
2Mike Benning40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Justin HryckowianJames Hamblin60122
2Clark BishopOliver Okuliar40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter Drew60122
2Mike Benning40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Justin Hryckowian60122Hunter Drew60122
2James Hamblin40122Mike Benning40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Justin HryckowianJames Hamblin60122
2Clark BishopOliver Okuliar40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter Drew60122
2Mike Benning40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James HamblinJustin HryckowianDylan WendtHunter Drew
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James HamblinJustin HryckowianDylan WendtHunter Drew
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Reinhardt, Riley Duran, Keean WashkurakCole Reinhardt, Riley DuranKeean Washkurak
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kurtis MacDermid, Marshall Rifai, Scott WalfordKurtis MacDermidMarshall Rifai, Scott Walford
Tirs de pénalité
Justin Hryckowian, James Hamblin, Clark Bishop, Oliver Okuliar, Cole Reinhardt
Gardien
#1 : Eric Comrie, #2 : Kenneth Appleby
Lignes d’attaque personnalisées en prolongation
Justin Hryckowian, James Hamblin, Clark Bishop, Oliver Okuliar, Cole Reinhardt, Riley Duran, Riley Duran, Dylan Wendt, Cameron Butler, Keean Washkurak, Riley Hughes
Lignes de défense personnalisées en prolongation
, Hunter Drew, , Mike Benning, Kurtis MacDermid


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
1Bears22000000633110000003121100000032141.0006121800969170386800788788255782048500.00%10280.00%11285229056.11%1175223052.69%533101752.41%143610161336412732373
2Bruins1010000024-21010000024-20000000000000.00023500969170319800788788253811103311100.00%5260.00%11285229056.11%1175223052.69%533101752.41%143610161336412732373
3Checkers22000000187111100000084411000000103741.00018304800969170312780078878825902710697457.14%4175.00%01285229056.11%1175223052.69%533101752.41%143610161336412732373
4Comets312000001016-61100000062420200000414-1020.3331020300096917031108007887882511625209013323.08%9366.67%01285229056.11%1175223052.69%533101752.41%143610161336412732373
5Condors20200000711-41010000047-31010000034-100.00071219009691703618007887882580201650100.00%80100.00%01285229056.11%1175223052.69%533101752.41%143610161336412732373
6Crunch211000006601010000034-11100000032120.50061117009691703618007887882581191741200.00%20100.00%01285229056.11%1175223052.69%533101752.41%143610161336412732373
7Devils21100000880110000003211010000056-120.500814220096917038380078878825742512624125.00%6266.67%01285229056.11%1175223052.69%533101752.41%143610161336412732373
8Eagles312000001015-51010000027-52110000088020.3331018280096917031098007887882510340248011327.27%10190.00%01285229056.11%1175223052.69%533101752.41%143610161336412732373
9Firebirds3300000017891100000041322000000137661.000172845009691703102800788788259534148010330.00%6183.33%01285229056.11%1175223052.69%533101752.41%143610161336412732373
10Griffins211000001082110000008441010000024-220.50010152500969170314180078878825722115786350.00%4250.00%11285229056.11%1175223052.69%533101752.41%143610161336412732373
11Gulls220000001266110000007341100000053241.0001224360096917037680078878825771385410220.00%40100.00%01285229056.11%1175223052.69%533101752.41%143610161336412732373
12IceHogs11000000642000000000001100000064221.0006915009691703448007887882543126279111.11%3166.67%01285229056.11%1175223052.69%533101752.41%143610161336412732373
13Marlies1000000134-1000000000001000000134-110.5003690096917035980078878825481110217114.29%50100.00%01285229056.11%1175223052.69%533101752.41%143610161336412732373
14Monsters1010000023-11010000023-10000000000000.00024600969170328800788788252777132150.00%10100.00%01285229056.11%1175223052.69%533101752.41%143610161336412732373
15Moose21100000651211000006510000000000020.500612181096917039280078878825591520437342.86%50100.00%01285229056.11%1175223052.69%533101752.41%143610161336412732373
16Penguins210001008801000010045-11100000043130.750814220096917037580078878825802444810330.00%10100.00%01285229056.11%1175223052.69%533101752.41%143610161336412732373
17Phantoms11000000321000000000001100000032121.00036900969170323800788788253715219200.00%10100.00%01285229056.11%1175223052.69%533101752.41%143610161336412732373
18Reign32100000131302200000010641010000037-440.667132437009691703125800788788259924197114321.43%7357.14%01285229056.11%1175223052.69%533101752.41%143610161336412732373
19Roadrunners310010011091210010007521000000134-150.833102030009691703103800788788251252816728225.00%8187.50%01285229056.11%1175223052.69%533101752.41%143610161336412732373
20Senators11000000523110000005230000000000021.0005712009691703328007887882530156193266.67%30100.00%01285229056.11%1175223052.69%533101752.41%143610161336412732373
21Silver Knights44000000338252200000014410220000001941581.0003360930096917032208007887882512940261079333.33%120100.00%11285229056.11%1175223052.69%533101752.41%143610161336412732373
22Sound Tigers11000000312000000000001100000031221.000369009691703358007887882531136215120.00%30100.00%01285229056.11%1175223052.69%533101752.41%143610161336412732373
23Stars302010001113-2201010006601010000057-220.333112031009691703102800788788251073029789222.22%10460.00%01285229056.11%1175223052.69%533101752.41%143610161336412732373
24Wild3110100016881010000002-2210010001661040.6671630460096917031508007887882513023167512541.67%8187.50%01285229056.11%1175223052.69%533101752.41%143610161336412732373
25Wolf Pack21100000642110000004131010000023-120.500610160096917036580078878825912520425120.00%9366.67%01285229056.11%1175223052.69%533101752.41%143610161336412732373
26Wolves20000200911-21000010056-11000010045-120.500918270096917037180078878825902016347114.29%8187.50%01285229056.11%1175223052.69%533101752.41%143610161336412732373
27Wranglers44000000208122200000084422000000124881.00020355500969170319280078878825121343510315320.00%15286.67%01285229056.11%1175223052.69%533101752.41%143610161336412732373
Total583317033022601956529178022001218833291690110213910732770.664260468728109691703239180078878825213057940414781945226.80%1673082.04%41285229056.11%1175223052.69%533101752.41%143610161336412732373
_Since Last GM Reset583317033022601956529178022001218833291690110213910732770.664260468728109691703239180078878825213057940414781945226.80%1673082.04%41285229056.11%1175223052.69%533101752.41%143610161336412732373
_Vs Conference362111030011711244718115020007452221810601001977225490.68117131248310969170314868007887882512843382499301283325.78%1051783.81%11285229056.11%1175223052.69%533101752.41%143610161336412732373
_Vs Division21165000001127042109100000532726117400000594316320.76211220331500969170388680078878825717190138555721723.61%61985.25%11285229056.11%1175223052.69%533101752.41%143610161336412732373

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5877W126046872823912130579404147810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5833173302260195
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
29178220012188
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
291691102139107
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1945226.80%1673082.04%4
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
800788788259691703
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
1285229056.11%1175223052.69%533101752.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
143610161336412732373


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
3 - 2025-10-0920Silver Knights1Barracuda7BWSommaire du match
5 - 2025-10-1136Gulls3Barracuda7BWSommaire du match
8 - 2025-10-1455Wolves6Barracuda5BLXSommaire du match
11 - 2025-10-1775Barracuda3Roadrunners4ALXXSommaire du match
12 - 2025-10-1888Penguins5Barracuda4BLXSommaire du match
15 - 2025-10-21100Barracuda3Sound Tigers1AWSommaire du match
17 - 2025-10-23116Barracuda2Wolf Pack3ALSommaire du match
18 - 2025-10-24123Barracuda5Devils6ALSommaire du match
20 - 2025-10-26142Barracuda10Wild1AWSommaire du match
22 - 2025-10-28165Reign3Barracuda6BWSommaire du match
24 - 2025-10-30176Devils2Barracuda3BWSommaire du match
26 - 2025-11-01184Eagles7Barracuda2BLSommaire du match
27 - 2025-11-02198Griffins4Barracuda8BWSommaire du match
30 - 2025-11-05217Barracuda7Firebirds4AWSommaire du match
32 - 2025-11-07230Moose4Barracuda2BLSommaire du match
33 - 2025-11-08243Checkers4Barracuda8BWSommaire du match
36 - 2025-11-11261Barracuda6Wild5AWXSommaire du match
38 - 2025-11-13276Barracuda4Wranglers2AWSommaire du match
40 - 2025-11-15295Barracuda6Firebirds3AWSommaire du match
43 - 2025-11-18314Roadrunners2Barracuda3BWSommaire du match
45 - 2025-11-20330Reign3Barracuda4BWSommaire du match
47 - 2025-11-22342Senators2Barracuda5BWSommaire du match
48 - 2025-11-23351Bruins4Barracuda2BLSommaire du match
51 - 2025-11-26371Barracuda3Eagles2AWSommaire du match
53 - 2025-11-28385Comets2Barracuda6BWSommaire du match
54 - 2025-11-29400Barracuda8Silver Knights3AWSommaire du match
56 - 2025-12-01410Roadrunners3Barracuda4BWXSommaire du match
58 - 2025-12-03425Bears1Barracuda3BWSommaire du match
60 - 2025-12-05438Barracuda5Stars7ALSommaire du match
62 - 2025-12-07455Barracuda4Wolves5ALXSommaire du match
64 - 2025-12-09469Barracuda3Phantoms2AWSommaire du match
66 - 2025-12-11480Barracuda3Marlies4ALXXSommaire du match
68 - 2025-12-13497Barracuda4Penguins3AWSommaire du match
71 - 2025-12-16527Wranglers2Barracuda3BWSommaire du match
73 - 2025-12-18543Stars2Barracuda1BLSommaire du match
75 - 2025-12-20561Firebirds1Barracuda4BWSommaire du match
78 - 2025-12-23586Barracuda11Silver Knights1AWSommaire du match
82 - 2025-12-27599Barracuda2Comets7ALSommaire du match
84 - 2025-12-29615Barracuda5Gulls3AWSommaire du match
86 - 2025-12-31625Wild2Barracuda0BLSommaire du match
89 - 2026-01-03649Crunch4Barracuda3BLSommaire du match
92 - 2026-01-06675Monsters3Barracuda2BLSommaire du match
93 - 2026-01-07681Barracuda3Reign7ALSommaire du match
96 - 2026-01-10700Stars4Barracuda5BWXSommaire du match
97 - 2026-01-11715Silver Knights3Barracuda7BWSommaire du match
101 - 2026-01-15742Barracuda3Bears2AWSommaire du match
102 - 2026-01-16749Barracuda2Griffins4ALSommaire du match
105 - 2026-01-19773Barracuda10Checkers3AWSommaire du match
106 - 2026-01-20781Barracuda3Crunch2AWSommaire du match
109 - 2026-01-23808Wolf Pack1Barracuda4BWSommaire du match
113 - 2026-01-27838Barracuda2Comets7ALSommaire du match
115 - 2026-01-29854Barracuda3Condors4ALSommaire du match
117 - 2026-01-31863Barracuda8Wranglers2AWSommaire du match
119 - 2026-02-02881Barracuda6IceHogs4AWSommaire du match
121 - 2026-02-04897Barracuda5Eagles6ALSommaire du match
143 - 2026-02-26928Wranglers2Barracuda5BWSommaire du match
145 - 2026-02-28936Condors7Barracuda4BLSommaire du match
146 - 2026-03-01949Moose1Barracuda4BWSommaire du match
148 - 2026-03-03969Rocket-Barracuda-
151 - 2026-03-06989Thunderbirds-Barracuda-
152 - 2026-03-07999Sound Tigers-Barracuda-
155 - 2026-03-101013Barracuda-Americans-
157 - 2026-03-121027Barracuda-Bruins-
159 - 2026-03-141048Barracuda-Rocket-
160 - 2026-03-151058Barracuda-Senators-
162 - 2026-03-171073Barracuda-Condors-
164 - 2026-03-191092Americans-Barracuda-
166 - 2026-03-211103Phantoms-Barracuda-
169 - 2026-03-241129Barracuda-Admirals-
171 - 2026-03-261143Barracuda-Thunderbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281158Barracuda-Monsters-
175 - 2026-03-301177Thunderbirds-Barracuda-
177 - 2026-04-011190Gulls-Barracuda-
178 - 2026-04-021202Marlies-Barracuda-
180 - 2026-04-041220Admirals-Barracuda-
182 - 2026-04-061231IceHogs-Barracuda-
184 - 2026-04-081246Condors-Barracuda-
185 - 2026-04-091258Barracuda-Gulls-
187 - 2026-04-111275Comets-Barracuda-
189 - 2026-04-131287Barracuda-Admirals-
191 - 2026-04-151305Barracuda-IceHogs-
192 - 2026-04-161308Barracuda-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance45,70520,530
Assistance PCT78.80%70.79%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-19 2284 - 76.13% 91,074$2,641,158$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,837,496$ 1,760,570$ 1,760,570$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,449,650$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-1,730,414$ 45 11,774$ 529,830$




Barracuda Leaders statistiques (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
1James Hamblin1406058118-33010123046912.79%59255118.2371219461011110359.21%20.9202
2Linus Karlsson954855103-24619722939312.21%35215122.641018287222467344.24%20.9623
3Kale Clague115148498-25511721681887.45%161269323.42122739980003400.00%00.7300
4Cole Reinhardt127305383204716216227910.75%43165013.00610164600003256.73%01.0101
5Joseph Blandisi8230427242612921529710.10%32167820.46211134800082154.43%00.8602

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
1Louis Domingue81344050.8953.59464412027826490140.64314
2Eric Comrie43271220.9103.2224072012914330410.8577
3Kenneth Appleby219430.9103.42106900616770000.5002
4Conor Murphy81200.9083.5328900171850000.0000

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
202482314202421274300-2641171702311150149141142500110124151-27752744977714010891718275090990292032283888063919302615822.22%2696675.46%21535296651.75%1481301549.12%731140052.21%1903130719756171065522
202558331703302260195652917802200121883329169011021391073277260468728109691703239180078878825213057940414781945226.80%1673082.04%41285229056.11%1175223052.69%533101752.41%143610161336412732373
Total Saison régulière14064590572353449539703425045112712373470303401212263258515253496514995020418214111514117091690170857496814591043340845511024.18%4369677.98%62820525653.65%2656524550.64%1264241752.30%33392324331110301798895

Barracuda Leaders statistiques (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