Barracuda
GP: 35 | W: 15 | L: 19 | OTL: 1 | P: 31
GF: 115 | GA: 127 | PP%: 25.00% | PK%: 79.66%
DG: Pierre-Luc Bouchard | Morale : 75 | Moyenne d’équipe : 61
Prochain matchs #530 vs Condors
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Centre de jeu
Moose
13-18-3, 29pts
6
FINAL
5 Barracuda
15-19-1, 31pts
Team Stats
L1StreakW1
4-9-2Home Record8-7-1
9-9-1Away Record7-12-0
3-4-3Last 10 Games5-4-1
3.56Buts par match 3.29
4.00Buts contre par match 3.63
24.53%Pourcentage en avantage numérique25.00%
77.88%Pourcentage en désavantage numérique79.66%
Eagles
21-14-0, 42pts
2
FINAL
4 Barracuda
15-19-1, 31pts
Team Stats
W1StreakW1
8-8-0Home Record8-7-1
13-6-0Away Record7-12-0
6-4-0Last 10 Games5-4-1
3.97Buts par match 3.29
3.46Buts contre par match 3.63
25.00%Pourcentage en avantage numérique25.00%
76.98%Pourcentage en désavantage numérique79.66%
Barracuda
15-19-1, 31pts
2024-12-21
Condors
17-15-0, 34pts
Statistiques d’équipe
W1SéquenceW1
8-7-1Fiche domicile12-6-0
7-12-0Fiche visiteur5-9-0
5-4-110 derniers matchs7-3-0
3.29Buts par match 3.13
3.63Buts contre par match 3.16
25.00%Pourcentage en avantage numérique17.58%
79.66%Pourcentage en désavantage numérique83.33%
Barracuda
15-19-1, 31pts
2024-12-23
Comets
24-6-2, 50pts
Statistiques d’équipe
W1SéquenceW2
8-7-1Fiche domicile12-4-1
7-12-0Fiche visiteur12-2-1
5-4-110 derniers matchs7-3-0
3.29Buts par match 3.94
3.63Buts contre par match 2.81
25.00%Pourcentage en avantage numérique18.80%
79.66%Pourcentage en désavantage numérique80.56%
Silver Knights
16-13-3, 35pts
2024-12-27
Barracuda
15-19-1, 31pts
Statistiques d’équipe
L1SéquenceW1
7-7-1Fiche domicile8-7-1
9-6-2Fiche visiteur7-12-0
5-5-010 derniers matchs5-4-1
3.56Buts par match 3.29
3.28Buts contre par match 3.63
18.87%Pourcentage en avantage numérique25.00%
76.11%Pourcentage en désavantage numérique79.66%
Meneurs d'équipe
Ryan DzingelButs
Ryan Dzingel
5
Kurtis MacDermidPasses
Kurtis MacDermid
10
Kurtis MacDermidPoints
Kurtis MacDermid
14
Kurtis MacDermidPlus/Moins
Kurtis MacDermid
10
Louis DomingueVictoires
Louis Domingue
14
Pourcentage d’arrêts
Conor Murphy
0.91

Statistiques d’équipe
Buts pour
115
3.29 GFG
Tirs pour
1120
32.00 Avg
Pourcentage en avantage numérique
25.0%
26 GF
Début de zone offensive
39.0%
Buts contre
127
3.63 GAA
Tirs contre
1262
36.06 Avg
Pourcentage en désavantage numérique
79.7%
24 GA
Début de la zone défensive
42.0%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,026
Billets de saison300


Information formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 80
Espoirs38


Historique d'équipe

Saison actuelle15-19-1 (31PTS)
Historique874-702-149 (0.507%)
Apparitions séries éliminatoires 12
Historique séries éliminatoires (W-L)28-56
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
1Nikita Alexandrov (R)0X100.00663790647380786373656662636467075640241950,000$
2Joseph Blandisi0X100.00624367647182846272656360647072075630301750,000$
3Cole Schneider0X100.00713992608081835960586157637476075630341999,999$
4Linus Karlsson (R)0X100.00643876657389856471636162646567075630242950,000$
5Felix Robert (R)0X100.00613782626482806169626160636567075620253750,000$
6Linus Weissbach (R)0X100.00563878636580836259606163626668075620261950,000$
7Anton Blidh0XX100.00703971567776855755585960626971075610291775,000$
8James Hamblin (R)0X100.00583693636776795983586061626667075610253930,700$
9Cameron Butler0X100.00724266588866695752565559546264075600223750,000$
10Cole Reinhardt (R)0X100.00654365587482835761595659586466075600243750,000$
11Jack Becker0X100.00734179588276675661525457566769075590271750,000$
12Riley Duran0X100.00633794557277605663575854566264075590222750,000$
13Ryan Hofer0X100.00713990578069665653545558566264075590222750,000$
14Kale Clague0X100.00643973657282776430685861506669075630263942,900$
15Marshall Rifai0X100.00724265598176845830575661486668075610263750,000$
16Hunter Drew (R)63X100.00745451597980785755565859576668075600252750,000$
17Jeremie Bucheler0X100.00793895568863615330555058456466075590243750,000$
18Mike Benning0X100.00573878596675735830575453476264075580222750,000$
Rayé
1Matthew Peca0XX100.00583792646785756274666062637173075630311999,999$
2Ilya Nikolayev (R)0X100.00633791567271655558535452566365075580233950,000$
3Justin Hryckowian0X100.00604363576971615661555453566365075570233750,000$
4Alec Regula0X100.00764271608983805830595562486466075620243750,000$
MOYENNE D’ÉQUIPE100.0066407860757775595659585957666807561
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
1Louis Domingue100.0076847985757476757476757486075670322775,000$
2Conor Murphy100.0073726888727173727173726675075650263750,000$
Rayé
1Kenneth Appleby100.0068757093676668676668676983075630293750,000$
MOYENNE D’ÉQUIPE100.007277728971707271707271708107565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Ward74717372656082CAN432500,000$


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
1Linus KarlssonBarracuda (SJS)RW35171835416078731233611413.82%1675821.6834721951013533042.42%6600100.9211000233
2Kale ClagueBarracuda (SJS)D3262733-8160414751213011.76%5979524.8657122085000291100.00%000000.8300000102
3Matthew PecaBarracuda (SJS)C/LW311217290202411793187712.90%1374323.97358137900021091151.94%92600010.7800000210
4Joseph BlandisiBarracuda (SJS)C3514142811606588116407712.07%1370920.28167138000051062052.63%85500000.7901000124
5Marshall RifaiBarracuda (SJS)D355152010335693946242410.87%3974221.220331481000080100.00%000000.5400100021
6Anton BlidhBarracuda (SJS)LW/RW3581220-10140583474155210.81%1348113.760221545000062138.30%4700000.8311000011
7Linus WeissbachBarracuda (SJS)LW3561420-130025669629786.25%1660417.2725713700002261134.09%4400000.6611000020
8Alec RegulaBarracuda (SJS)D2621618-333558192911186.90%4661623.722461464000266000.00%000000.5800010111
9Cole SchneiderBarracuda (SJS)LW236814610045296413409.38%548321.013259660110401048.65%7400000.5801000101
10Kurtis MacDermidSharksD284101410260653432182612.50%3858020.733251158000158010.00%000000.4800000201
11Cameron ButlerBarracuda (SJS)RW358412-18051154692917.39%53128.9400001000012054.17%2400000.7700000010
12Felix RobertBarracuda (SJS)C354711-136023687122595.63%442112.0501136000060046.22%50200100.5201000101
13Hunter DrewBarracuda (SJS)D3511011-1233566303818252.63%4160017.151011136000037000.00%000000.3700010000
14James HamblinBarracuda (SJS)LW354711-156027265619337.14%449314.110221220000120155.56%2700000.4501000010
15Ryan DzingelSharksC/LW/RW285611-34032295315529.43%340714.56123634000000054.17%2400010.5400000200
16Nikita AlexandrovBarracuda (SJS)C7731060011324063317.50%416824.052027240000261054.03%24800011.1901000300
17Cole ReinhardtBarracuda (SJS)LW35167-68022231710265.88%42747.8400000000040063.33%3000000.5100000010
18Jeremie BuchelerBarracuda (SJS)D34156-18403217197135.26%3554816.13011422011046000.00%000000.2200000000
19Jack BeckerBarracuda (SJS)C23134-61001422185185.56%21526.6500000000000056.73%17100000.5200000000
20Mike BenningBarracuda (SJS)D9123010016590711.11%814416.040000300005000.00%000000.4200000100
21Riley DuranBarracuda (SJS)C35123320112151146.67%01103.1600002000000046.79%10900000.5400000000
22Ryan HoferBarracuda (SJS)RW35123-26071314587.14%21434.1100000000000121.43%1400000.4200000001
Statistiques d’équipe totales ou en moyenne661115208323-7026315830838112034285310.27%3701029515.582646721758821231778115650.78%316100230.6338120171516
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
1Louis DomingueBarracuda (SJS)34141810.8993.5719674011711620100.5008332231
2Conor MurphyBarracuda (SJS)41100.9104.061330091000000.0000233100
Statistiques d’équipe totales ou en moyenne38151910.9003.6021014012612620100.50083535331


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
Alec RegulaBarracuda (SJS)D242000-08-06No208 Lbs6 ft4NoNoNo3Pro & Farm750,000$451,531$750,000$451,531$0$0$No750,000$750,000$Lien / Lien NHL
Anton BlidhBarracuda (SJS)LW/RW291995-03-14No196 Lbs6 ft1NoNoNo1Pro & Farm775,000$466,582$775,000$466,582$0$0$NoLien / Lien NHL
Cameron ButlerBarracuda (SJS)RW222002-06-09No210 Lbs6 ft4NoNoNo3Pro & Farm750,000$451,531$750,000$451,531$0$0$No750,000$750,000$Lien
Cole ReinhardtBarracuda (SJS)LW242000-02-01Yes200 Lbs6 ft0NoNoNo3Pro & Farm750,000$451,531$750,000$451,531$0$0$No750,000$750,000$Lien / Lien NHL
Cole SchneiderBarracuda (SJS)LW341990-08-26No199 Lbs6 ft2NoNoNo1Pro & Farm999,999$602,040$999,999$602,040$0$0$NoLien / Lien NHL
Conor MurphyBarracuda (SJS)G261998-09-01No201 Lbs6 ft4NoNoNo3Pro & Farm750,000$451,531$750,000$451,531$0$0$No750,000$750,000$Lien
Felix RobertBarracuda (SJS)C251999-07-24Yes165 Lbs5 ft8NoNoNo3Pro & Farm750,000$451,531$750,000$451,531$0$0$No750,000$750,000$Lien / Lien NHL
Hunter DrewBarracuda (SJS)D251998-10-21Yes191 Lbs6 ft2NoNoNo2Pro & Farm750,000$451,531$750,000$451,531$0$0$No750,000$Lien / Lien NHL
Ilya NikolayevBarracuda (SJS)C232001-06-26Yes190 Lbs6 ft0NoNoNo3Pro & Farm950,000$571,939$950,000$571,939$0$0$No950,000$950,000$
Jack BeckerBarracuda (SJS)C271997-06-24No191 Lbs6 ft3NoNoNo1Pro & Farm750,000$451,531$750,000$451,531$0$0$NoLien
James HamblinBarracuda (SJS)LW251999-04-27Yes185 Lbs5 ft10NoNoNo3Pro & Farm930,700$560,319$930,700$560,319$0$0$No930,700$930,700$Lien / Lien NHL
Jeremie BuchelerBarracuda (SJS)D242000-03-31No209 Lbs6 ft4NoNoNo3Pro & Farm750,000$451,531$750,000$451,531$0$0$No750,000$750,000$Lien
Joseph BlandisiBarracuda (SJS)C301994-07-18No184 Lbs6 ft0NoNoNo1Pro & Farm750,000$451,531$750,000$451,531$0$0$NoLien / Lien NHL
Justin HryckowianBarracuda (SJS)C232001-02-23No194 Lbs5 ft10NoNoNo3Pro & Farm750,000$451,531$750,000$451,531$0$0$No750,000$750,000$Lien
Kale ClagueBarracuda (SJS)D261998-06-05No190 Lbs6 ft0NoNoNo3Pro & Farm942,900$567,664$942,900$567,664$0$0$No942,900$942,900$Lien / Lien NHL
Kenneth ApplebyBarracuda (SJS)G291995-04-10No216 Lbs6 ft5NoNoNo3Pro & Farm750,000$451,531$750,000$451,531$0$0$No750,000$750,000$Lien
Linus KarlssonBarracuda (SJS)RW241999-11-16Yes178 Lbs6 ft1NoNoNo2Pro & Farm950,000$571,939$950,000$571,939$0$0$No950,000$Lien / Lien NHL
Linus WeissbachBarracuda (SJS)LW261998-04-19Yes177 Lbs5 ft9NoNoNo1Pro & Farm950,000$571,939$950,000$571,939$0$0$NoLien / Lien NHL
Louis DomingueBarracuda (SJS)G321992-03-06No209 Lbs6 ft3NoNoNo2Pro & Farm775,000$466,582$775,000$466,582$0$0$No775,000$Lien / Lien NHL
Marshall RifaiBarracuda (SJS)D261998-03-16No205 Lbs6 ft2NoNoNo3Pro & Farm750,000$451,531$750,000$451,531$0$0$No750,000$750,000$Lien / Lien NHL
Matthew PecaBarracuda (SJS)C/LW311993-04-27No181 Lbs5 ft10NoNoNo1Pro & Farm999,999$602,040$999,999$602,040$0$0$NoLien / Lien NHL
Mike BenningBarracuda (SJS)D222002-01-05No185 Lbs5 ft9NoNoNo2Pro & Farm750,000$451,531$750,000$451,531$0$0$No750,000$Lien
Nikita AlexandrovBarracuda (SJS)C242000-09-16Yes177 Lbs6 ft1NoNoNo1Pro & Farm950,000$571,939$950,000$571,939$0$0$NoLien / Lien NHL
Riley DuranBarracuda (SJS)C222002-01-25No174 Lbs6 ft1NoNoNo2Pro & Farm750,000$451,531$750,000$451,531$0$0$No750,000$Lien
Ryan HoferBarracuda (SJS)RW222002-05-10No184 Lbs6 ft3NoNoNo2Pro & Farm750,000$451,531$750,000$451,531$0$0$No750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.80192 Lbs6 ft12.20818,944$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole SchneiderNikita AlexandrovLinus Karlsson40122
2Linus WeissbachJoseph BlandisiAnton Blidh30122
3James HamblinFelix RobertCameron Butler20122
4Cole ReinhardtJack BeckerRyan Hofer10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kale ClagueMarshall Rifai40122
2Hunter DrewJeremie Bucheler30122
3Mike BenningCole Reinhardt20122
4Kale ClagueMarshall Rifai10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole SchneiderNikita AlexandrovLinus Karlsson60122
2Linus WeissbachJoseph BlandisiAnton Blidh40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kale ClagueMarshall Rifai60122
2Hunter DrewJeremie Bucheler40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nikita AlexandrovLinus Karlsson60122
2Cole SchneiderJoseph Blandisi40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kale ClagueMarshall Rifai60122
2Hunter DrewJeremie Bucheler40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nikita Alexandrov60122Kale ClagueMarshall Rifai60122
2Linus Karlsson40122Hunter DrewJeremie Bucheler40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nikita AlexandrovLinus Karlsson60122
2Cole SchneiderJoseph Blandisi40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kale ClagueMarshall Rifai60122
2Hunter DrewJeremie Bucheler40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole SchneiderNikita AlexandrovLinus KarlssonKale ClagueMarshall Rifai
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole SchneiderNikita AlexandrovLinus KarlssonKale ClagueMarshall Rifai
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Riley Duran, Felix Robert, James HamblinRiley Duran, Felix RobertJames Hamblin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Benning, Hunter Drew, Jeremie BuchelerMike BenningHunter Drew, Jeremie Bucheler
Tirs de pénalité
Nikita Alexandrov, Linus Karlsson, Cole Schneider, Joseph Blandisi, Linus Weissbach
Gardien
#1 : Louis Domingue, #2 : Conor Murphy
Lignes d’attaque personnalisées en prolongation
Nikita Alexandrov, Linus Karlsson, Cole Schneider, Joseph Blandisi, Linus Weissbach, Felix Robert, Felix Robert, James Hamblin, Anton Blidh, Cole Reinhardt, Cameron Butler
Lignes de défense personnalisées en prolongation
Kale Clague, Marshall Rifai, Hunter Drew, Jeremie Bucheler, Mike Benning


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
1Americans1010000045-11010000045-10000000000000.00047110040423243336837737112219626200.00%20100.00%0621123050.49%672132550.72%31259852.17%810554840262455222
2Bears1010000037-4000000000001010000037-400.00036900404232436368377371123017015100.00%000.00%0621123050.49%672132550.72%31259852.17%810554840262455222
3Checkers1010000045-1000000000001010000045-100.000481200404232434368377371124615639300.00%30100.00%0621123050.49%672132550.72%31259852.17%810554840262455222
4Comets11000000532110000005320000000000021.00051015004042324363683773711247108214125.00%40100.00%0621123050.49%672132550.72%31259852.17%810554840262455222
5Crunch11000000321000000000001100000032121.00034700404232437368377371123868284375.00%40100.00%0621123050.49%672132550.72%31259852.17%810554840262455222
6Devils1010000023-1000000000001010000023-100.000246004042324233683773711242171218100.00%6266.67%0621123050.49%672132550.72%31259852.17%810554840262455222
7Eagles21100000651211000006510000000000020.500611170040423247236837737112751614597228.57%7271.43%0621123050.49%672132550.72%31259852.17%810554840262455222
8Firebirds22000000936110000006241100000031241.000916250040423246636837737112591014326350.00%70100.00%0621123050.49%672132550.72%31259852.17%810554840262455222
9Griffins1010000025-31010000025-30000000000000.00023500404232433368377371123310214100.00%110.00%0621123050.49%672132550.72%31259852.17%810554840262455222
10Gulls2020000049-51010000026-41010000023-100.00047110040423246636837737112822618598225.00%9366.67%0621123050.49%672132550.72%31259852.17%810554840262455222
11IceHogs210010001183100010007611100000042241.0001120310040423247636837737112802231456233.33%13192.31%1621123050.49%672132550.72%31259852.17%810554840262455222
12Monsters11000000615110000006150000000000021.00061117004042324313683773711224128262150.00%30100.00%0621123050.49%672132550.72%31259852.17%810554840262455222
13Moose2100000110911000000156-11100000053230.750101727004042324753683773711260176479111.11%20100.00%0621123050.49%672132550.72%31259852.17%810554840262455222
14Penguins11000000422000000000001100000042221.00048120040423243036837737112339819200.00%4175.00%0621123050.49%672132550.72%31259852.17%810554840262455222
15Phantoms1010000014-3000000000001010000014-300.00012300404232425368377371124510420300.00%2150.00%0621123050.49%672132550.72%31259852.17%810554840262455222
16Reign312000001013-32110000079-21010000034-120.333101828004042324102368377371129728269010330.00%11554.55%0621123050.49%672132550.72%31259852.17%810554840262455222
17Roadrunners2020000039-61010000012-11010000027-500.0003690040423244636837737112772225453133.33%9277.78%0621123050.49%672132550.72%31259852.17%810554840262455222
18Senators11000000633110000006330000000000021.000611170040423243336837737112321742011100.00%20100.00%0621123050.49%672132550.72%31259852.17%810554840262455222
19Silver Knights1010000016-5000000000001010000016-500.00012300404232418368377371124413822200.00%4175.00%0621123050.49%672132550.72%31259852.17%810554840262455222
20Stars2020000049-5000000000002020000049-500.00048120040423244836837737112942019466116.67%6350.00%0621123050.49%672132550.72%31259852.17%810554840262455222
21Thunderbirds321000001064110000005232110000054140.667101727004042324115368377371129535227113323.08%11281.82%0621123050.49%672132550.72%31259852.17%810554840262455222
22Wild1010000016-51010000016-50000000000000.00011200404232433368377371123196234125.00%30100.00%0621123050.49%672132550.72%31259852.17%810554840262455222
23Wolf Pack11000000413000000000001100000041321.0004711004042324233683773711252136242150.00%20100.00%0621123050.49%672132550.72%31259852.17%810554840262455222
24Wolves1010000023-1000000000001010000023-100.0002460040423242936837737112257621400.00%30100.00%0621123050.49%672132550.72%31259852.17%810554840262455222
Total35141901001115127-121677010016361219712000005266-14310.44311520832300404232411203683773711212623702678301042625.00%1182479.66%1621123050.49%672132550.72%31259852.17%810554840262455222
_Since Last GM Reset35141901001115127-121677010016361219712000005266-14310.44311520832300404232411203683773711212623702678301042625.00%1182479.66%1621123050.49%672132550.72%31259852.17%810554840262455222
_Vs Conference23912010017486-121255010014547-21147000002939-10210.4577413320700404232475336837737112841228197560782025.64%861977.91%1621123050.49%672132550.72%31259852.17%810554840262455222
_Vs Division945000002934-5532000002020041300000914-580.44429538200404232428836837737112329877422430930.00%35974.29%0621123050.49%672132550.72%31259852.17%810554840262455222

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3531W11152083231120126237026783000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3514191001115127
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
167710016361
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1971200005266
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1042625.00%1182479.66%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
368377371124042324
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
621123050.49%672132550.72%31259852.17%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
810554840262455222


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
7 - 2024-10-1019Thunderbirds2Barracuda5BWSommaire du match
9 - 2024-10-1237Gulls6Barracuda2BLSommaire du match
12 - 2024-10-1554Barracuda2Stars5ALSommaire du match
14 - 2024-10-1770Barracuda4IceHogs2AWSommaire du match
15 - 2024-10-1873Barracuda5Moose3AWSommaire du match
17 - 2024-10-2089Eagles3Barracuda2BLSommaire du match
19 - 2024-10-22105Barracuda2Gulls3ALSommaire du match
21 - 2024-10-24117Barracuda3Reign4ALSommaire du match
23 - 2024-10-26134Barracuda1Silver Knights6ALSommaire du match
25 - 2024-10-28145Barracuda2Roadrunners7ALSommaire du match
26 - 2024-10-29154Reign3Barracuda5BWSommaire du match
28 - 2024-10-31167IceHogs6Barracuda7BWXSommaire du match
30 - 2024-11-02184Comets3Barracuda5BWSommaire du match
33 - 2024-11-05204Monsters1Barracuda6BWSommaire du match
35 - 2024-11-07219Wild6Barracuda1BLSommaire du match
38 - 2024-11-10236Barracuda2Devils3ALSommaire du match
39 - 2024-11-11240Barracuda1Phantoms4ALSommaire du match
42 - 2024-11-14261Barracuda4Wolf Pack1AWSommaire du match
44 - 2024-11-16279Barracuda4Penguins2AWSommaire du match
46 - 2024-11-18293Griffins5Barracuda2BLSommaire du match
48 - 2024-11-20303Barracuda2Stars4ALSommaire du match
49 - 2024-11-21312Barracuda1Thunderbirds2ALSommaire du match
51 - 2024-11-23331Americans5Barracuda4BLSommaire du match
53 - 2024-11-25344Reign6Barracuda2BLSommaire du match
55 - 2024-11-27361Senators3Barracuda6BWSommaire du match
57 - 2024-11-29371Firebirds2Barracuda6BWSommaire du match
58 - 2024-11-30387Barracuda3Firebirds1AWSommaire du match
61 - 2024-12-03400Barracuda3Bears7ALSommaire du match
63 - 2024-12-05413Barracuda3Crunch2AWSommaire du match
65 - 2024-12-07429Barracuda4Checkers5ALSommaire du match
68 - 2024-12-10448Barracuda2Wolves3ALSommaire du match
70 - 2024-12-12465Barracuda4Thunderbirds2AWSommaire du match
72 - 2024-12-14487Roadrunners2Barracuda1BLSommaire du match
75 - 2024-12-17506Moose6Barracuda5BLXXSommaire du match
77 - 2024-12-19520Eagles2Barracuda4BWSommaire du match
79 - 2024-12-21530Barracuda-Condors-
81 - 2024-12-23555Barracuda-Comets-
85 - 2024-12-27565Silver Knights-Barracuda-
86 - 2024-12-28576Wranglers-Barracuda-
89 - 2024-12-31599Phantoms-Barracuda-
91 - 2025-01-02614Crunch-Barracuda-
93 - 2025-01-04622Devils-Barracuda-
96 - 2025-01-07649Silver Knights-Barracuda-
99 - 2025-01-10668Barracuda-Roadrunners-
100 - 2025-01-11683Wild-Barracuda-
103 - 2025-01-14694Barracuda-Griffins-
105 - 2025-01-16711Barracuda-Monsters-
107 - 2025-01-18731Barracuda-Sound Tigers-
109 - 2025-01-20740Barracuda-Bruins-
110 - 2025-01-21752Barracuda-Admirals-
112 - 2025-01-23771Admirals-Barracuda-
114 - 2025-01-25788Checkers-Barracuda-
116 - 2025-01-27798Penguins-Barracuda-
119 - 2025-01-30821Barracuda-Firebirds-
124 - 2025-02-04858Rocket-Barracuda-
126 - 2025-02-06870Comets-Barracuda-
128 - 2025-02-08889Stars-Barracuda-
143 - 2025-02-23914Barracuda-Wranglers-
144 - 2025-02-24916Barracuda-Moose-
147 - 2025-02-27934Barracuda-Rocket-
149 - 2025-03-01954Barracuda-Senators-
151 - 2025-03-03971Barracuda-Marlies-
152 - 2025-03-04974Barracuda-Americans-
154 - 2025-03-06996Barracuda-Eagles-
156 - 2025-03-081012Sound Tigers-Barracuda-
159 - 2025-03-111035Admirals-Barracuda-
161 - 2025-03-131048IceHogs-Barracuda-
163 - 2025-03-151057Bears-Barracuda-
168 - 2025-03-201102Wolves-Barracuda-
170 - 2025-03-221117Bruins-Barracuda-
175 - 2025-03-271152Marlies-Barracuda-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
177 - 2025-03-291168Wolf Pack-Barracuda-
178 - 2025-03-301177Barracuda-Reign-
180 - 2025-04-011190Barracuda-Gulls-
182 - 2025-04-031205Condors-Barracuda-
184 - 2025-04-051221Firebirds-Barracuda-
186 - 2025-04-071234Wranglers-Barracuda-
188 - 2025-04-091247Barracuda-Wild-
190 - 2025-04-111263Barracuda-Condors-
192 - 2025-04-131283Barracuda-Wranglers-
193 - 2025-04-141290Barracuda-Comets-
195 - 2025-04-161306Condors-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance22,9529,456
Assistance PCT71.73%59.10%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-6 2026 - 67.52% 85,558$1,368,925$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
992,292$ 2,047,360$ 2,047,360$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 792,166$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-513,347$ 118 12,997$ 1,533,646$




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
1Mikhail Grigorenko438148249397-850601108715029.85%198828918.9345811262101232522752.72%20.96825
2Steven Zalewski517152224376881579271008142210.69%210912917.6624436711499183023952.84%40.821021
3Teemu Pulkkinen2521281682960164459539117610.88%148527920.952959881311232118948.12%31.12925
4Anton Blidh356127161288-1201949555115610.99%116605517.01273865201000915745.54%40.9559
5Joel Armia38990144234114956050810738.39%106649416.70123547125202108346.45%20.72818

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
1Matt Climie19811266160.9162.8311736315553660234171050.72777
2Antoine Bibeau20510573160.8982.971158710657356320930.69472
3Anders Nilsson159896090.9083.20936582499542328141240.78938
4Marcus Hogberg1587764120.9013.58893520353353810730.71259
5Anders Nilsson75551370.9262.0344856915220570210.68244

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
580233807354207260-5340131603332115136-214010220402292124-3277207334541080486681185005326346472562954139616581723721.51%2185873.39%8641127450.31%731149648.86%609121450.16%1398581193010201825899
68035330714027124922401915030301541193540161804110117130-1393271430701080789290269608819358592537848103425081803720.56%2474980.16%12873170551.20%910176651.53%674131151.41%1619816378319581638802
77642210416229622868382390213014610343381912020321501252510729646876412075122892857091410248882220747106824262065024.27%2064777.18%10912177251.47%745142352.35%677128352.77%163185214067511571772
87640240425129322469382411020101551064938161302241138118201012934647572206810710925020780883821228873276621531773821.47%1864774.73%5813164449.45%775155050.00%535109049.08%150973814747761618791
980253706624247259-12401518023021411311040101904322106128-227624739864554058988323930743839790226574782025631784223.60%2485777.02%9857164352.16%798157750.60%566107352.75%160076215268231717841
10804123033462822186440211103014140107334020120033214211131105282466748030601001152907090210339482599894113327412195826.48%2486872.58%4902186048.49%854182846.72%533117445.40%168487515598081616778
11804227021532722274540171701023126121540251001130146106401022724477191507410289295009361042957252884278422962156329.30%2466075.61%51000190552.49%890177450.17%589117150.30%169588415278011621793
1276233804245227263-3638141802022130139-9389200222397124-276922737360060051907823390719831760270485678718001804927.22%2176271.43%7755150450.20%871173650.17%567108552.26%145669515637751592788
1380342305486272237354021120123113110328401311042551411347104272444716110651049032730102411661042272687951622422085225.00%1824973.08%41021212248.11%935183051.09%631122651.47%173694615787801573779
1480204904241253354-10140112600120132181-494092304121121173-525925340866112053979526740828951885276495578323602055526.83%2808370.36%6888183348.45%814161450.43%580121347.82%156476916468221623780
158036350512129327419402014041101481252340162101011145149-48829348878131080112943260011261120994289898858621602307633.04%2346771.37%51038204550.76%938192248.80%602121749.47%165289516487811521725
1676323003236211215-438191401112108101738131602124103114-118421138559613077636523060753739787209069742414122535019.76%1833282.51%01290250751.46%1158227650.88%587115051.04%189313251739559983498
178047140329526417292402070306412485394027700231140875312526445872219092798126960846890918221866764517072465622.76%2693188.48%21543279455.23%1383252954.69%663122054.34%2043143117885811049537
187638260232525221834382010022131321003238181600112120118292252453705130104707424760874818765220463252214372334218.03%2303684.35%21244247950.18%1197240649.75%626122351.19%186713101756562986495
19823532053522662615412113040121481262241141901340118135-179526644871413097788123890800759797249369546715761953618.46%1974975.13%51029246341.78%1053256441.07%545134040.67%1884129120016151082532
2082244303453247320-7341122201231119158-3941122102222128162-347124743568211087777524180765799827295488369218992695219.33%2795779.57%01295269048.14%1453294949.27%624137645.35%1818122720916271058504
218296500800260456-1964153400200131223-924143100600129233-10426260491751400919178327101074114210504161128152421702304519.57%2287367.98%11285305442.08%1408335341.99%541141838.15%160211102360592965429
22824323047323262666041241101410175130454119120332215113615109326584910150132959231570103810501036294283966720112485421.77%2735280.95%41788322755.41%1691302655.88%786142255.27%2021141318925891051531
23824128033343412905141221302112179141384119150122216214913101341612953321351069413313410321027104466312987656420302386627.73%2355277.87%31506313847.99%1539323847.53%709141250.21%1873130120605961032505
202282333605503320335-1541161703401163158541171902102157177-2084320568888111151148662939918100399141317597256820642395924.69%2526474.60%21324291445.44%1369303045.18%670143346.76%1907133220185911032504
202382353803402294296-2412116031001451252041142200302149171-228229453783102939999529819401011101622294183058219392575521.40%2474681.38%61637303154.01%1561299052.21%742144951.21%2002140719025821039522
202435141901001115127-121677010016361219712000005266-143111520832300404232411203683773711212623702678301042625.00%1182479.66%1621123050.49%672132550.72%31259852.17%810554840262455222
Total Saison régulière170971270208367796658095749608533853310442835303005277922685632737103939443628042970-166188158099899157083465383175119541587585883258189532007715912576601818415595439824682109823.45%5023116376.85%101242624883449.68%237454820249.26%133682709849.33%372752252440100162612865814038
Séries éliminatoires
619109000005357-4936000002330-7107300000302732053801330001622125360156199155653216145474461226.09%49687.76%118238147.77%20440250.75%13229245.21%36916441892164426218
77340000027243404000001015-53300000017986274572000514827008710380273824217622418.18%11372.73%08517050.00%8116648.80%5210748.60%145791436213170
8514000001013-3312000006602020000047-32101626000370134027713315340231274125.00%7185.71%0489053.33%5210151.49%305950.85%9136934811763
10624000002630-43210000015150303000001115-4426426810041192470898468215839817317317.65%231247.83%17916149.07%8415454.55%6211553.91%136771245911558
1140400000813-52020000057-22020000036-3081422000413155052634014536601109222.22%20575.00%05610951.38%5510452.88%285154.90%895076377336
1373400000262514220000016124312000001013-3626436900059123000108871052086845190281035.71%20385.00%09618153.04%7115446.10%5510452.88%160911216813865
1640400000213-112020000027-52020000006-602240000117102220291084224661300.00%11281.82%0359935.35%5912049.17%345759.65%885899295225
171147000002432-8633000001314-1514000001118-7824467000057113850118117120347110922432813.57%45882.22%025042858.41%22341354.00%10218056.67%2922012818915476
1851400000613-7211000004403030000029-7261016000213115032424117354421015120.00%19478.95%05713641.91%8619244.79%236237.10%10066139386027
19514000001217-52020000057-231200000710-32121830000165124035493115941321229222.22%16662.50%05114934.23%6416538.79%327642.11%11780133406933
22624000001919031200000910-1312000001091419345301051042570748660241725419016212.50%24579.17%010724044.58%13627250.00%6211056.36%160110164508742
23514000001526-112110000057-2303000001019-921530450007521930705944216454111315533.33%16756.25%09920648.06%12022353.81%469548.42%12282130417235
Total Séries éliminatoires84285600000228282-5442142800000113134-2142142800000115148-335622838060811057947027870870980806289188969820852124320.28%2616276.25%21145235048.72%1235246650.08%658130850.31%18731099569827321499752

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
1Colin Wilson1991322-8437676713.43%1242322.28347800013251.01%01.0400
2Brian Willsie13811196425336113.11%625019.28123400000046.74%01.5200
3Stephane Veilleux1981119-5632495913.56%1648425.49123301110050.62%00.7800
4John McCarthy19108180639395518.18%1139220.64358700004048.28%10.9200
5Steve Zalewski22781510251385911.86%1135716.25101200000056.71%00.8400

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
1Alex Stalock169430.9242.509620040525301100.0000
2Anders Nilsson114420.9062.5867400293080000.0000
3Alex Stalock73400.9123.503942023260131000.0000
4Jeff Zatkoff63300.8753.57319001915275100.0000
5Antoine Bibeau1621120.9023.1288600464690000.0000