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Barracuda
GP: 51 | W: 29 | L: 18 | OTL: 4 | P: 62
GF: 238 | GA: 167 | PP%: 29.13% | PK%: 78.79%
DG: Steve Nadeau | Morale : 50 | Moyenne d’équipe : 62
Prochains matchs #814 vs Crunch
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Centre de jeu
Barracuda
29-18-4, 62pts
7
FINAL
2 Wolves
10-37-2, 22pts
Team Stats
L1StreakL2
13-9-2Home Record7-15-1
16-9-2Away Record3-22-1
6-3-1Last 10 Games1-8-1
4.67Goals Per Game3.94
3.27Goals Against Per Game7.20
29.13%Power Play Percentage13.48%
78.79%Penalty Kill Percentage53.62%
Barracuda
29-18-4, 62pts
2
FINAL
4 Penguins
36-11-2, 74pts
Team Stats
L1StreakW3
13-9-2Home Record16-6-2
16-9-2Away Record20-5-0
6-3-1Last 10 Games6-4-0
4.67Goals Per Game4.86
3.27Goals Against Per Game2.47
29.13%Power Play Percentage30.12%
78.79%Penalty Kill Percentage83.08%
Barracuda
29-18-4, 62pts
2023-02-07
Crunch
29-16-4, 62pts
Statistiques d’équipe
L1SéquenceW1
13-9-2Fiche domicile20-4-1
16-9-2Fiche visiteur9-12-3
6-3-110 derniers matchs8-2-0
4.67Buts par match 4.08
3.27Buts contre par match 2.69
29.13%Pourcentage en avantage numérique22.94%
78.79%Pourcentage en désavantage numérique80.20%
Barracuda
29-18-4, 62pts
2023-02-09
Checkers
13-37-2, 28pts
Statistiques d’équipe
L1SéquenceL5
13-9-2Fiche domicile7-16-0
16-9-2Fiche visiteur6-21-2
6-3-110 derniers matchs2-8-0
4.67Buts par match 3.06
3.27Buts contre par match 5.69
29.13%Pourcentage en avantage numérique36.89%
78.79%Pourcentage en désavantage numérique68.37%
Barracuda
29-18-4, 62pts
2023-02-12
Bears
29-22-1, 59pts
Statistiques d’équipe
L1SéquenceL2
13-9-2Fiche domicile16-9-0
16-9-2Fiche visiteur13-13-1
6-3-110 derniers matchs2-8-0
4.67Buts par match 4.94
3.27Buts contre par match 3.94
29.13%Pourcentage en avantage numérique24.71%
78.79%Pourcentage en désavantage numérique74.58%
Meneurs d'équipe
Brett LeasonButs
Brett Leason
12
Erik GustafssonPasses
Erik Gustafsson
27
Erik GustafssonPoints
Erik Gustafsson
28
Brett LeasonPlus/Moins
Brett Leason
10
Devan DubnykVictoires
Devan Dubnyk
29
Devan DubnykPourcentage d’arrêts
Devan Dubnyk
0.901

Statistiques d’équipe
Buts pour
238
4.67 GFG
Tirs pour
2210
43.33 Avg
Pourcentage en avantage numérique
29.1%
30 GF
Début de zone offensive
41.8%
Buts contre
167
3.27 GAA
Tirs contre
1650
32.35 Avg
Pourcentage en désavantage numérique
78.8%
28 GA
Début de la zone défensive
37.2%
Informations de l'équipe

Directeur généralSteve Nadeau
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1Andrew Agozzino
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 250
Espoirs94


Historique d'équipe

Saison actuelle29-18-4 (62PTS)
Historique386-187-53 (0.617%)
Apparitions en séries éliminatoires 6
Historique en séries éliminatoires (W-L)38-35
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
1Andrew Agozzino (A)X100.00793888657088876673686167637173050660301800,000$
2Stefan NoesenX100.00693684667887856463656668647071050660283750,000$
3Egor SokolovX100.00798187648886856354616259656364050640212850,000$
4Joachim BlichfeldX100.00643881677982836657626761696466050640231750,000$
5Byron FroeseX100.00703987607887776378616268647176050640301725,000$
6Dmitrij JaskinX100.00863689638485686459625561667169050640281650,000$
7Luke JohnsonX100.00743882606786706180626364596870050630271750,000$
8Josiah Slavin (R)X100.00673886638179826273616265616467050630222925,000$
9Samuel FagemoXX100.00633785627485866358606265676264050630212910,833$
10Alan QuineX100.00663794627573676171685659626971050620281750,000$
11Jonah GadjovichX100.00877955618274736057636158626364050620221863,333$
12John MooreX100.007439826584886963307258734574750506603022,750,000$
13Jacob Bernard-Docker (R)X100.006237836572808864306358625062640506302121,208,333$
14Casey FitzgeraldX100.00723568617084856130645762516567050620242750,000$
15Johnathan KovacevicX100.00734176598877845730585663456467050610241750,000$
16Trevor CarrickX100.00664173587572905730605659466870050610271750,000$
17Simon Lundmark (R)X100.00723892558170855430555357456264050590213925,000$
Rayé
1Ben JonesX100.00713973617280875966586055626465050610221760,000$
2Nikita Alexandrov (R)X100.00623888597183855865575653596264050600213880,000$
3Cameron Hillis (R)X100.00553686566473665775585955576364050590212910,000$
4Josh Lopina (R)X100.00693981587973645663575456536163050590204925,000$
5Nathan Legare (R)X100.00663983557583855358555657556163050590203905,000$
6Joseph CecconiX100.00733574568168825430565358466567050590242750,000$
7Carl Neill (R)X100.00613892518064615230545052456668050570251650,000$
MOYENNE D’ÉQUIPE100.0070418261777979605461586157666705062
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
1Philippe Desrosiers100.0070747576696870696870696777050620261750,000$
2Devan Dubnyk100.0066656697656466656466657690050590351650,000$
Rayé
MOYENNE D’ÉQUIPE100.006870718767666867666867728405061
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Andrew AgozzinoBarracuda (SJS)LW51315081371601371042878720110.80%23111321.8457123188000012262.50%8800021.45000001044
2Samuel FagemoBarracuda (SJS)LW/RW51293867414031662295618212.66%16106120.8167132489000001060.26%7800021.2600000236
3Byron FroeseBarracuda (SJS)C4824366036160571512115412711.37%1795519.9100025000063264.32%118000011.2600000404
4Josiah SlavinBarracuda (SJS)C5119345313140551491895114910.05%694118.45461019861122702161.85%116900121.1312000352
5Joachim BlichfeldBarracuda (SJS)RW5132185084043582064814115.53%1469313.604482377000005143.48%4600001.4402000253
6Casey FitzgeraldBarracuda (SJS)D51113748372201495062276517.74%57105020.611671874011077300.00%000000.9100000322
7Jacob Bernard-DockerBarracuda (SJS)D48634401226098548328517.23%52114223.80012122188101174100.00%000000.7000000130
8Alan QuineBarracuda (SJS)C5182735110013104118271016.78%1878215.35022127602221431060.30%113600000.8900000201
9Egor SokolovBarracuda (SJS)LW511519346220115331303810411.54%788617.38257975000043050.00%6000010.7700000302
10Trevor CarrickBarracuda (SJS)D5192029152801363567224913.43%5883316.344152172000015100.00%000000.7000000110
11Erik GustafssonSharksD3012728-316057504418372.27%3767422.48156225800000000.00%000000.8300000020
12Brett LeasonSharksRW3512132510200483090197213.33%357316.37000000114380245.83%4800000.8700000201
13Stefan NoesenBarracuda (SJS)RW5113112412202440121289410.74%195049.900000020291543157.14%4200000.9500000100
14Dmitrij JaskinBarracuda (SJS)RW517152211200693811320706.19%452310.2600000000000075.00%2800000.8402000001
15John MooreBarracuda (SJS)D16615211180462837121916.22%1738624.143141227000024010.00%000001.0900000011
16Johnathan KovacevicBarracuda (SJS)D51217193630091305223453.85%5393918.41022870011079000.00%000000.4000000000
17Jonah GadjovichBarracuda (SJS)LW518101816140912971256111.27%14098.04000040001122160.00%2500000.8801000101
18Luke JohnsonBarracuda (SJS)C4336940012345112535.88%12866.66000000001161064.68%23500000.6300000000
19Simon LundmarkBarracuda (SJS)D1614592027792711.11%1623514.740000000000000.00%000000.4200000001
20Cameron HillisBarracuda (SJS)C1511200001114597.14%11036.9200000000080067.59%10800000.3900000000
21Carl NeillBarracuda (SJS)D3011500315000.00%16020.250000000000000.00%000000.3300000000
Statistiques d’équipe totales ou en moyenne8662384336713272640130211022189602163710.87%4211415916.35305888222895461020729281161.89%424300180.9517000352629
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
1Devan DubnykBarracuda (SJS)51291840.9013.2230016116116190010.5717510010
2Philippe DesrosiersBarracuda (SJS)20000.9002.6967003300000.00%0051000
Statistiques d’équipe totales ou en moyenne53291840.9013.2130686116416490010.57175151010


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 Plafond 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
Alan QuineBarracuda (SJS)C281993-02-25No203 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Andrew AgozzinoBarracuda (SJS)LW301991-01-03No187 Lbs5 ft10NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Ben JonesBarracuda (SJS)C221999-02-26No187 Lbs6 ft0NoNoNo1Pro & Farm760,000$0$0$NoLien / Lien NHL
Byron FroeseBarracuda (SJS)C301991-03-12No202 Lbs6 ft1NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Cameron HillisBarracuda (SJS)C212000-06-24Yes175 Lbs5 ft9NoNoNo2Pro & Farm910,000$0$0$No910,000$Lien NHL
Carl NeillBarracuda (SJS)D251996-06-07Yes215 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
Casey FitzgeraldBarracuda (SJS)D241997-02-25No188 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Devan DubnykBarracuda (SJS)G351986-05-04No224 Lbs6 ft6NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Dmitrij JaskinBarracuda (SJS)RW281993-03-23No216 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Egor SokolovBarracuda (SJS)LW212000-06-07No222 Lbs6 ft3NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien / Lien NHL
Jacob Bernard-DockerBarracuda (SJS)D212000-06-30Yes190 Lbs6 ft0NoNoNo2Pro & Farm1,208,333$0$0$No1,208,333$Lien NHL
Joachim BlichfeldBarracuda (SJS)RW231998-07-17No180 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
John MooreBarracuda (SJS)D301990-11-19No207 Lbs6 ft3NoNoNo2Pro & Farm2,750,000$0$0$No2,750,000$Lien / Lien NHL
Johnathan KovacevicBarracuda (SJS)D241997-07-12No208 Lbs6 ft4NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Jonah GadjovichBarracuda (SJS)LW221998-10-12No209 Lbs6 ft2NoNoNo1Pro & Farm863,333$0$0$NoLien / Lien NHL
Joseph CecconiBarracuda (SJS)D241997-05-23No210 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Josh LopinaBarracuda (SJS)C202001-02-16Yes195 Lbs6 ft2NoNoNo4Pro & Farm925,000$0$0$No925,000$925,000$925,000$Lien NHL
Josiah SlavinBarracuda (SJS)C221998-12-31Yes189 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Luke JohnsonBarracuda (SJS)C271994-09-19No174 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Nathan LegareBarracuda (SJS)RW202001-01-11Yes205 Lbs6 ft0NoNoNo3Pro & Farm905,000$0$0$No905,000$905,000$Lien NHL
Nikita AlexandrovBarracuda (SJS)C212000-09-16Yes183 Lbs6 ft0NoNoNo3Pro & Farm880,000$0$0$No880,000$880,000$Lien NHL
Philippe DesrosiersBarracuda (SJS)G261995-08-16No195 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Samuel FagemoBarracuda (SJS)LW/RW212000-03-14No200 Lbs6 ft0NoNoNo2Pro & Farm910,833$0$0$No910,833$Lien / Lien NHL
Simon LundmarkBarracuda (SJS)D212000-10-08Yes201 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien NHL
Stefan NoesenBarracuda (SJS)RW281993-02-12No205 Lbs6 ft1NoNoNo3Pro & Farm750,000$0$0$No762,500$762,500$Lien / Lien NHL
Trevor CarrickBarracuda (SJS)D271994-07-04No171 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.65198 Lbs6 ft11.73886,058$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andrew AgozzinoByron FroeseSamuel Fagemo40122
2Josiah SlavinEgor Sokolov30122
3Dmitrij JaskinAlan QuineJoachim Blichfeld20122
4Jonah GadjovichLuke JohnsonStefan Noesen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1John MooreJacob Bernard-Docker40122
2Casey Fitzgerald30122
3Simon LundmarkTrevor Carrick20122
4John MooreJacob Bernard-Docker10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andrew AgozzinoJosiah SlavinSamuel Fagemo60122
2Egor SokolovAlan QuineJoachim Blichfeld40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John MooreJacob Bernard-Docker60122
2Trevor CarrickCasey Fitzgerald40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alan QuineStefan Noesen60122
2Josiah Slavin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John Moore60122
2Jacob Bernard-DockerCasey Fitzgerald40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Byron Froese60122John MooreJacob Bernard-Docker60122
2Josiah Slavin40122Casey Fitzgerald40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alan QuineAndrew Agozzino60122
2Josiah Slavin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1John MooreJacob Bernard-Docker60122
2Trevor CarrickCasey Fitzgerald40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andrew AgozzinoByron FroeseSamuel FagemoJohn MooreJacob Bernard-Docker
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josiah SlavinJonah GadjovichCasey Fitzgerald
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alan Quine, Joachim Blichfeld, Dmitrij JaskinJonah Gadjovich, Josiah SlavinStefan Noesen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob Bernard-Docker, John Moore, Trevor CarrickJohn MooreJacob Bernard-Docker,
Tirs de pénalité
Dmitrij Jaskin, Joachim Blichfeld, Josiah Slavin, Jonah Gadjovich, Alan Quine
Gardien
#1 : Devan Dubnyk, #2 : Philippe Desrosiers


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
1Admirals2200000015312110000007161100000082641.000152944001097356114570175874711398244200.00%10100.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
2Americans11000000743000000000001100000074321.00071421001097356134701758747114414434100.00%2150.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
3Bruins2020000046-21010000034-11010000012-100.0004610001097356159701758747115219658500.00%3166.67%11114182061.21%978162060.37%56491661.57%137810121055332638331
4Canucks330000002291322000000143111100000086261.00022416300109735611877017587471110425187933100.00%90100.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
5Checkers11000000936110000009360000000000021.00091726001097356153701758747111996263266.67%3166.67%01114182061.21%978162060.37%56491661.57%137810121055332638331
6Comets2110000078-11010000035-21100000043120.500712191010973561707017587471175191051300.00%5260.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
7Condors110000001101111000000110110000000000021.00011213201109735611027017587471119422111100.00%10100.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
8Crunch11000000431110000004310000000000021.000481200109735613370175874711226618100.00%20100.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
9Firebirds11000000734000000000001100000073421.000714210010973561747017587471125363011100.00%20100.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
10Griffins211000007521010000034-11100000041320.5007132000109735618370175874711551910522150.00%40100.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
11Gulls412000011314-12020000068-22100000176130.37513253800109735611357017587471113227209719210.53%10370.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
12IceHogs210001008531000010023-11100000062430.7508142200109735616170175874711712210476233.33%5180.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
13Islanders1010000024-2000000000001010000024-200.00024600109735612770175874711319227400.00%10100.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
14Marlies2010000159-41000000134-11010000025-310.25059140010973561607017587471179268525360.00%3166.67%01114182061.21%978162060.37%56491661.57%137810121055332638331
15Monsters11000000321000000000001100000032121.0003690010973561217017587471130982222100.00%40100.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
16Penguins1010000024-2000000000001010000024-200.000235001097356134701758747113444282150.00%10100.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
17Phantoms220000001064110000004311100000063341.00010182800109735617970175874711721418576233.33%9366.67%01114182061.21%978162060.37%56491661.57%137810121055332638331
18Reign302001001016-61010000025-320100100811-310.167101727001097356111170175874711109351270500.00%5260.00%11114182061.21%978162060.37%56491661.57%137810121055332638331
19Roadrunners211000009901010000046-21100000053220.5009182700109735618370175874711732814425240.00%7357.14%01114182061.21%978162060.37%56491661.57%137810121055332638331
20Rocket11000000413000000000001100000041321.0004711001097356139701758747112771020100.00%50100.00%11114182061.21%978162060.37%56491661.57%137810121055332638331
21Senators2020000028-61010000013-21010000015-400.0002350010973561527017587471182171454000.00%6183.33%01114182061.21%978162060.37%56491661.57%137810121055332638331
22Silver Knights20200000411-71010000027-51010000024-200.00047110010973561517017587471178322455200.00%12466.67%01114182061.21%978162060.37%56491661.57%137810121055332638331
23Stars33000000238151100000082622000000156961.000234366001097356121070175874711761212719555.56%60100.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
24Thunderbirds1010000003-3000000000001010000003-300.000000001097356124701758747113716826000.00%40100.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
25Wild220000001055110000004311100000062441.00010192900109735614770175874711781410462150.00%5180.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
26Wolf Pack21100000770110000006511010000012-120.5007111800109735618270175874711741812527114.29%6266.67%01114182061.21%978162060.37%56491661.57%137810121055332638331
27Wolves2200000016511110000009361100000072541.00016324800109735611007017587471161101453400.00%7185.71%11114182061.21%978162060.37%56491661.57%137810121055332638331
28Wranglers220000001761122000000176110000000000041.00017335000109735611547017587471152108492150.00%4175.00%01114182061.21%978162060.37%56491661.57%137810121055332638331
Total51291800202238167712413900101122814127169001011168630620.6082384446821110973561221070175874711165043627812811033029.13%1322878.79%41114182061.21%978162060.37%56491661.57%137810121055332638331
_Since Last GM Reset51291800202238167712413900101122814127169001011168630620.6082384446821110973561221070175874711165043627812811033029.13%1322878.79%41114182061.21%978162060.37%56491661.57%137810121055332638331
_Vs Conference312080020117299731696001008951381511200101834835430.6941723264980110973561154370175874711972249162756631930.16%781679.49%21114182061.21%978162060.37%56491661.57%137810121055332638331
_Vs Division1297001016533325550000025151074200101401822200.8336512318800109735615707017587471137410056276241041.67%28582.14%01114182061.21%978162060.37%56491661.57%137810121055332638331

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5162L123844468222101650436278128111
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5129180202238167
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
24139010112281
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
27169010111686
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1033029.13%1322878.79%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
7017587471110973561
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
1114182061.21%978162060.37%56491661.57%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
137810121055332638331


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2022-10-071Barracuda8Admirals2AWSommaire du match
2 - 2022-10-082Admirals1Barracuda7BWSommaire du match
8 - 2022-10-1424Wolves3Barracuda9BWSommaire du match
9 - 2022-10-1538IceHogs3Barracuda2BLXSommaire du match
12 - 2022-10-1851Barracuda2Islanders4ALSommaire du match
14 - 2022-10-2064Barracuda1Wolf Pack2ALSommaire du match
16 - 2022-10-2275Barracuda4Comets3AWSommaire du match
17 - 2022-10-2391Barracuda6Phantoms3AWSommaire du match
19 - 2022-10-25107Silver Knights7Barracuda2BLSommaire du match
21 - 2022-10-27119Marlies4Barracuda3BLXXSommaire du match
23 - 2022-10-29128Crunch3Barracuda4BWSommaire du match
26 - 2022-11-01158Gulls3Barracuda2BLSommaire du match
28 - 2022-11-03173Checkers3Barracuda9BWSommaire du match
30 - 2022-11-05188Gulls5Barracuda4BLSommaire du match
35 - 2022-11-10218Barracuda0Thunderbirds3ALSommaire du match
36 - 2022-11-11223Barracuda10Stars5AWSommaire du match
38 - 2022-11-13239Barracuda6Wild2AWSommaire du match
40 - 2022-11-15256Barracuda2Silver Knights4ALSommaire du match
42 - 2022-11-17272Griffins4Barracuda3BLSommaire du match
44 - 2022-11-19288Wolf Pack5Barracuda6BWSommaire du match
46 - 2022-11-21299Senators3Barracuda1BLSommaire du match
48 - 2022-11-23316Barracuda7Firebirds3AWSommaire du match
50 - 2022-11-25331Reign5Barracuda2BLSommaire du match
52 - 2022-11-27344Canucks2Barracuda5BWSommaire du match
54 - 2022-11-29354Barracuda4Rocket1AWSommaire du match
55 - 2022-11-30363Barracuda2Marlies5ALSommaire du match
58 - 2022-12-03383Barracuda1Senators5ALSommaire du match
59 - 2022-12-04395Barracuda7Americans4AWSommaire du match
62 - 2022-12-07418Canucks1Barracuda9BWSommaire du match
64 - 2022-12-09433Barracuda3Gulls4ALXXSommaire du match
68 - 2022-12-13465Roadrunners6Barracuda4BLSommaire du match
72 - 2022-12-17496Barracuda4Reign6ALSommaire du match
73 - 2022-12-18501Wranglers5Barracuda7BWSommaire du match
75 - 2022-12-20517Wranglers1Barracuda10BWSommaire du match
77 - 2022-12-22532Wild3Barracuda4BWSommaire du match
82 - 2022-12-27556Barracuda8Canucks6AWSommaire du match
84 - 2022-12-29573Phantoms3Barracuda4BWSommaire du match
86 - 2022-12-31586Barracuda5Stars1AWSommaire du match
87 - 2023-01-01592Barracuda6IceHogs2AWSommaire du match
92 - 2023-01-06627Barracuda4Gulls2AWSommaire du match
93 - 2023-01-07636Bruins4Barracuda3BLSommaire du match
96 - 2023-01-10657Barracuda5Roadrunners3AWSommaire du match
97 - 2023-01-11661Barracuda4Reign5ALXSommaire du match
99 - 2023-01-13676Condors0Barracuda11BWSommaire du match
102 - 2023-01-16697Comets5Barracuda3BLSommaire du match
104 - 2023-01-18716Stars2Barracuda8BWSommaire du match
107 - 2023-01-21736Barracuda3Monsters2AWSommaire du match
108 - 2023-01-22748Barracuda1Bruins2ALSommaire du match
110 - 2023-01-24760Barracuda4Griffins1AWSommaire du match
113 - 2023-01-27783Barracuda7Wolves2AWSommaire du match
114 - 2023-01-28793Barracuda2Penguins4ALSommaire du match
124 - 2023-02-07814Barracuda-Crunch-
126 - 2023-02-09823Barracuda-Checkers-
129 - 2023-02-12847Barracuda-Bears-
131 - 2023-02-14863Penguins-Barracuda-
133 - 2023-02-16877Barracuda-Silver Knights-
135 - 2023-02-18893Americans-Barracuda-
137 - 2023-02-20904Firebirds-Barracuda-
140 - 2023-02-23929Admirals-Barracuda-
142 - 2023-02-25946IceHogs-Barracuda-
145 - 2023-02-28967Rocket-Barracuda-
147 - 2023-03-02983Thunderbirds-Barracuda-
149 - 2023-03-04992Bears-Barracuda-
151 - 2023-03-061006Barracuda-Moose-
152 - 2023-03-071019Barracuda-Eagles-
154 - 2023-03-091032Barracuda-Thunderbirds-
156 - 2023-03-111051Wild-Barracuda-
159 - 2023-03-141074Monsters-Barracuda-
161 - 2023-03-161090Firebirds-Barracuda-
163 - 2023-03-181107Islanders-Barracuda-
165 - 2023-03-201118Barracuda-Condors-
168 - 2023-03-231145Barracuda-Canucks-
170 - 2023-03-251154Barracuda-Wranglers-
173 - 2023-03-281185Moose-Barracuda-
175 - 2023-03-301199Silver Knights-Barracuda-
177 - 2023-04-011215Barracuda-Roadrunners-
180 - 2023-04-041239Eagles-Barracuda-
182 - 2023-04-061256Eagles-Barracuda-
184 - 2023-04-081259Condors-Barracuda-
186 - 2023-04-101275Barracuda-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
188 - 2023-04-121297Barracuda-Wranglers-
189 - 2023-04-131308Barracuda-Condors-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-15 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,390,008$ 2,303,749$ 361,333$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,390,008$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 74 12,189$ 901,986$




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
48240200428828520580412180313514510342411912011531401023811428552080544010010073304709411024103322856501462192358211119.07%5929583.95%31976330859.73%1726292559.01%772126860.88%2179150017926301045545
5824526003532481876141241200122137904741211400231111971410624844969738010079643061010671027944221269861420562133516.43%2575379.38%41910310761.47%1432243858.74%727120960.13%2248163216995421014536
6824821002563642231414122140012217511164412670013418911277114364662102657013412010538290121912751302266583860821921955528.21%2384083.19%32044340959.96%1548276256.05%754134556.06%2195158517515571031536
7824025020510350233117412111010351841117341191401025166122441043506249744501481068937630119712911240269185956921801924623.96%2564283.59%32064335361.56%1745292559.66%854139661.17%2226161817575521019527
88257140205440917723241344000212158013541231002033194979713240974211511901811358640160135712911340247375639119831614226.09%1742784.48%32062324263.60%1504256858.57%879136964.21%237817911603498986540
98233360225431128724412113011231671333441122301131144154-1086311564875530135808935570119011821142288986148020471754726.86%2093682.78%21818334054.43%1441278151.82%724133054.44%2142154518045481028531
10824027053613412657641241001330176119574116170403116514619106341597938211408310713327410561059112558304986641519641874322.99%1863780.11%21531308449.64%1438300347.89%691141548.83%1973142419935651004498
1151291800202238167712413900101122814127169001011168630622384446821110973561221070175874711165043627812811033029.13%1322878.79%41114182061.21%978162060.37%56491661.57%137810121055332638331
Total Saison régulière625332187015143938254617448023111808106817191321828493314152106096221912259163098242546460271482538249954783520267571757878889627070199145964481715626180840922.62%204435882.49%24145192466358.87%118122102256.19%59651024858.21%167231211013458422677694047
Séries éliminatoires
4734000001416-241300000810-232100000660614264001074325007976661845513017354814.81%581082.76%019429865.10%17924672.76%6710663.21%1971321626010052
5221390000062566117400000322751165000003029126621121741202322136590212212189665217176587761621.05%791383.54%238074850.80%36675148.74%18234952.15%535365558168295147
673400000252233210000010824130000015141625477200065142500947776225825418720630.00%25580.00%013828248.94%12324450.41%6212848.44%169113164559447
71710700000605288350000024240972000003628820601081681001523187050205240228559164116473611321.31%561278.57%239072953.50%32763851.25%15529652.36%442310399129225114
8147700000343408530000019127624000001522-7143464980101413750001541971494161307131640512.50%30486.67%029650558.61%26147754.72%11020952.63%3472503249516885
10624000001924-5312000001114-331200000810-2419345310784026184837519226532615313215.38%12375.00%016926563.77%12322454.91%6710762.62%169122128367742
Total Séries éliminatoires73383500000214204103719180000010495936191700000110109176214391605347737155262584827877727227570157318892645018.94%2604781.92%41567282755.43%1379258053.45%643119553.81%186212941737545962489