Barracuda

GP: 63 | W: 47 | L: 10 | OTL: 6 | P: 100
GF: 248 | GA: 116 | PP%: 18.97% | PK%: 86.49%
DG: Jean-Sebastien Champagne | Morale : 94 | Moyenne d'Équipe : 61
Prochain matchs #1081 vs Griffins
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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 SP
1Jeremy BraccoX100.005436926558949564796961586463626786640
2Jakob Forsbacka KarlssonX100.005935936774756265736662646365647386630
3Gabriel DumontX100.005440786267918761686256595877745686620
4Jayson MegnaX100.006237886076949259625857595877695686620
5Scott WilsonX100.008436916370736162546159645873675086620
6Logan Brown (R)X100.006536925896806957625956605461638586610
7Zack MitchellX100.006237875877928857615656585371665986610
8Colby CaveX100.006638895677746855735754635269665186590
9Graham KnottX100.006737895483918653565351565263626386590
10Kieffer Bellows (R)X100.006242755876949356585253545862638186590
11Caleb HerbertX100.006138845871706757625654586267635386580
12Andrew OglevieX100.005335955657797355575454525567646177560
13Jaycob MegnaX100.005638915997816458305752714973675587640
14Tim HeedX100.005437896468776163307359625175684886620
15Joey LaleggiaX100.005337896066949259306055544873675886610
16Anthony BitettoX100.007938815879715257305952564677694086600
17Ryan MurphyX100.005235936069826959306253574671668186600
18Adam PlantX100.005436635770747356305251545066675486580
Rayé
MOYENNE D'ÉQUIPE100.00613787607483755953595559546966618661
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 SP
1Jon Gillies100.00718078977069717069717069735186720
2Michael Dipietro (R)100.00646563746362646362646360637886630
Rayé
MOYENNE D'ÉQUIPE100.0068737186676668676668676568658668
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Boucher76717978716678CAN474100,000$


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
1Jeremy BraccoBarracuda (San)RW63205474591604189243621798.23%5156324.82312154723701161614168.03%36600000.9506000635
2Jakob Forsbacka KarlssonBarracuda (San)C6330366646100411642575917011.67%7148423.57413174022410131434266.72%115100010.8916000565
3Tim HeedBarracuda (San)D631449634042105966110376812.73%54148923.6461319792401453172210.00%000000.8500001434
4Scott WilsonBarracuda (San)LW6324325628460166922186716711.01%7134621.385914452221342806356.98%8600000.8314000473
5Jayson MegnaBarracuda (San)C6325305536180381281906013913.16%7127420.234610171111121554164.27%113900000.8603000246
6Andrei SvechnikovSan Jose SharksLW/RW31232548336410126471664210913.86%574924.19257221171013747260.61%23100001.2803101634
7Anthony BitettoBarracuda (San)D63102939335801182985295811.76%56133221.159918562260000160310.00%000000.5900000331
8Kieffer BellowsBarracuda (San)LW63162339294156849120287913.33%8108917.2926810117000092162.75%5100000.7211001033
9Jaycob MegnaBarracuda (San)D631424383973157054108257112.96%66148123.528816642410003169100.00%000000.5100201021
10Joey LaleggiaBarracuda (San)D63631373316026388529567.06%52136621.7051015592351012185000.00%000000.5400000113
11Ryan MurphyBarracuda (San)D635323733140214343112711.63%4093814.9000031400005000.00%000000.7900000001
12Zack MitchellBarracuda (San)RW63162036173355467162411489.88%6129520.5635839235000002171.43%6300000.5600001220
13Gabriel DumontBarracuda (San)C63102535293820557510222749.80%868510.8900008000004065.11%64200001.0211202221
14Adam PlantBarracuda (San)D62012123362010423207180.00%2897115.6700024000064000.00%000000.2500000000
15Logan BrownBarracuda (San)C636511380123053194111.32%03475.52101219000000164.56%28500000.6300000000
16Colby CaveBarracuda (San)C6313430067102710.00%01201.920004170001250055.17%5800000.6600000000
17Graham KnottBarracuda (San)C63123-1602616476.25%21963.13011116000001071.21%6600000.3000000001
18Korbinian HolzerSan Jose SharksD1011200202120.00%32424.030001300000000.00%000000.8300000000
19Caleb HerbertBarracuda (San)C63011300894020.00%21081.730000001141030069.57%9200000.1801000000
Stats d'équipe Total ou en Moyenne110222143465549854565101710161994545142211.08%3561786916.225297149491229361016281412401465.25%423000010.73425507353938
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
1Jon GilliesBarracuda (San)63471060.9141.7438252911112840010.75929630222
Stats d'équipe Total ou en Moyenne63471060.9141.7438252911112840010.75929630222


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam PlantBarracuda (San)D241995-05-09No170 Lbs5 ft10NoNoNo1Pro & Farm0$0$NoLien
Andrew OglevieBarracuda (San)C241995-02-16No180 Lbs5 ft1NoNoNo1Pro & Farm0$0$NoLien
Anthony BitettoBarracuda (San)D281990-07-15No210 Lbs6 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Caleb HerbertBarracuda (San)C271991-10-12No185 Lbs5 ft11NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Colby CaveBarracuda (San)C241994-12-26No200 Lbs6 ft1NoNoNo1Pro & Farm300,000$0$0$NoLien
Gabriel DumontBarracuda (San)C281990-10-06No190 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Graham KnottBarracuda (San)C221997-01-13No199 Lbs6 ft3NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Jakob Forsbacka KarlssonBarracuda (San)C221996-10-31No184 Lbs6 ft1NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Jaycob MegnaBarracuda (San)D261992-12-10No221 Lbs6 ft6NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Jayson MegnaBarracuda (San)C291990-02-01No195 Lbs6 ft1NoNoNo1Pro & Farm300,000$0$0$NoLien
Jeremy BraccoBarracuda (San)RW221997-03-17No181 Lbs5 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Joey LaleggiaBarracuda (San)D271992-06-24No182 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$NoLien
Jon GilliesBarracuda (San)G251994-01-22No223 Lbs6 ft6NoNoNo1Pro & Farm500,000$0$0$NoLien
Kieffer BellowsBarracuda (San)LW211998-06-10Yes195 Lbs6 ft1NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$Lien
Logan BrownBarracuda (San)C211998-03-05Yes220 Lbs6 ft6NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$Lien
Michael DipietroBarracuda (San)G201999-06-09Yes200 Lbs6 ft0NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Ryan MurphyBarracuda (San)D261993-03-31No181 Lbs5 ft11NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Scott WilsonBarracuda (San)LW271992-04-24No186 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Tim HeedBarracuda (San)D281991-01-27No180 Lbs5 ft11NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Zack MitchellBarracuda (San)RW261993-01-07No196 Lbs6 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2024.85194 Lbs6 ft02.35430,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Scott WilsonJakob Forsbacka KarlssonJeremy Bracco40122
2Kieffer BellowsJayson MegnaZack Mitchell30122
3Jeremy BraccoGabriel DumontJakob Forsbacka Karlsson20122
4Jayson MegnaLogan BrownScott Wilson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaycob MegnaTim Heed40122
2Joey LaleggiaAnthony Bitetto30122
3Ryan MurphyAdam Plant20122
4Jaycob MegnaTim Heed10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Scott WilsonJakob Forsbacka KarlssonJeremy Bracco60122
2Kieffer BellowsJayson MegnaZack Mitchell40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaycob MegnaTim Heed60122
2Joey LaleggiaAnthony Bitetto40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jeremy BraccoJakob Forsbacka Karlsson60122
2Jayson MegnaScott Wilson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaycob MegnaTim Heed60122
2Joey LaleggiaAnthony Bitetto40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jeremy Bracco60122Jaycob MegnaTim Heed60122
2Jakob Forsbacka Karlsson40122Joey LaleggiaAnthony Bitetto40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jeremy BraccoJakob Forsbacka Karlsson60122
2Jayson MegnaScott Wilson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaycob MegnaTim Heed60122
2Joey LaleggiaAnthony Bitetto40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott WilsonJakob Forsbacka KarlssonJeremy BraccoJaycob MegnaTim Heed
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott WilsonJakob Forsbacka KarlssonJeremy BraccoJaycob MegnaTim Heed
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Graham Knott, Colby Cave, Caleb HerbertGraham Knott, Colby CaveCaleb Herbert
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Murphy, Adam Plant, Joey LaleggiaRyan MurphyAdam Plant, Joey Laleggia
Tirs de Pénalité
Jeremy Bracco, Jakob Forsbacka Karlsson, Jayson Megna, Scott Wilson, Gabriel Dumont
Gardien
#1 : Jon Gillies, #2 : Michael Dipietro


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
LigueDomicileVisiteur
# 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
1Condors1045000012323052300000810-2522000011513290.4502342651186817310282653692767472215710117438410.53%47687.23%21404211466.41%1060158466.92%62392967.06%191614321165387748421
2Eagles660000003883044000000235182200000015312121.0003870108028681731028765369276747104234610528621.43%22577.27%01404211466.41%1060158466.92%62392967.06%191614321165387748421
3Griffins2200000011560000000000022000000115641.00011193000868173106265369276747321126217228.57%12375.00%01404211466.41%1060158466.92%62392967.06%191614321165387748421
4Gulls9420110134211352101100191094210000115114120.66734671010086817310286653692767471955954130491224.49%22481.82%21404211466.41%1060158466.92%62392967.06%191614321165387748421
5Heat1290020104720276400101027101765001000201010241.000478513201868173104286536927674725870111195541120.37%45197.78%01404211466.41%1060158466.92%62392967.06%191614321165387748421
6Rampage201010003301010000012-11000100021120.5003690086817310416536927674739714407114.29%70100.00%01404211466.41%1060158466.92%62392967.06%191614321165387748421
7Reign880000005294344000000233204400000029623161.00052991510386817310400653692767471474451156441125.00%19384.21%21404211466.41%1060158466.92%62392967.06%191614321165387748421
8Roadrunners84100120291613411000201385430001001688130.8132949780186817310210653692767471755611013436719.44%30486.67%01404211466.41%1060158466.92%62392967.06%191614321165387748421
9Stars21000001440110000002111000000123-130.75047110086817310436536927674733618341616.25%9188.89%01404211466.41%1060158466.92%62392967.06%191614321165387748421
Total6339100523424811613232187031301195366312130210412963661000.7942484567041986817310213165369276747128536655310352905518.97%2223086.49%71404211466.41%1060158466.92%62392967.06%191614321165387748421
11Wild411010017702010100034-12100000143150.6257121901868173109265369276747813322461100.00%9366.67%11404211466.41%1060158466.92%62392967.06%191614321165387748421
_Since Last GM Reset6339100523424811613232187031301195366312130210412963661000.7942484567041986817310213165369276747128536655310352905518.97%2223086.49%71404211466.41%1060158466.92%62392967.06%191614321165387748421
_Vs Conference25163012211154669137201120552134129100101602535410.8201152153300486817310896653692767475171592154201293023.26%711184.51%41404211466.41%1060158466.92%62392967.06%191614321165387748421

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
63100OTL124845670421311285366553103519
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6339105234248116
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32187313011953
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
31213210412963
Derniers 10 Matchs
WLOTWOTL SOWSOL
620101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2905518.97%2223086.49%7
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
6536927674786817310
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
1404211466.41%1060158466.92%62392967.06%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
191614321165387748421


Derniers Match 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 - 2019-09-049Reign0Barracuda6WSommaire du Match
4 - 2019-09-0522Barracuda5Condors1WSommaire du Match
8 - 2019-09-0931Condors1Barracuda4WSommaire du Match
11 - 2019-09-1256Barracuda3Heat2WXSommaire du Match
18 - 2019-09-1992Barracuda3Heat2WSommaire du Match
19 - 2019-09-2099Heat3Barracuda6WSommaire du Match
24 - 2019-09-25115Barracuda2Rampage1WXSommaire du Match
25 - 2019-09-26127Barracuda2Stars3LXXSommaire du Match
31 - 2019-10-02152Rampage2Barracuda1LSommaire du Match
34 - 2019-10-05172Heat2Barracuda4WSommaire du Match
38 - 2019-10-09189Barracuda3Roadrunners4LXSommaire du Match
39 - 2019-10-10203Barracuda5Roadrunners2WSommaire du Match
46 - 2019-10-17235Roadrunners3Barracuda7WSommaire du Match
47 - 2019-10-18252Eagles1Barracuda8WSommaire du Match
52 - 2019-10-23274Barracuda7Eagles3WSommaire du Match
53 - 2019-10-24288Barracuda8Eagles0WSommaire du Match
56 - 2019-10-27299Heat2Barracuda3WXXSommaire du Match
60 - 2019-10-31329Barracuda6Heat1WSommaire du Match
62 - 2019-11-02339Gulls1Barracuda8WSommaire du Match
67 - 2019-11-07376Barracuda1Condors4LSommaire du Match
68 - 2019-11-08380Condors3Barracuda1LSommaire du Match
74 - 2019-11-14414Barracuda6Gulls3WSommaire du Match
75 - 2019-11-15421Barracuda8Reign2WSommaire du Match
78 - 2019-11-18432Barracuda5Gulls2WSommaire du Match
80 - 2019-11-20448Roadrunners2Barracuda1LSommaire du Match
81 - 2019-11-21462Roadrunners2Barracuda3WXXSommaire du Match
86 - 2019-11-26470Eagles2Barracuda3WSommaire du Match
89 - 2019-11-29503Gulls1Barracuda5WSommaire du Match
90 - 2019-11-30509Barracuda2Heat1WSommaire du Match
94 - 2019-12-04529Barracuda2Gulls3LSommaire du Match
95 - 2019-12-05542Barracuda8Reign1WSommaire du Match
99 - 2019-12-09558Reign0Barracuda5WSommaire du Match
101 - 2019-12-11573Reign3Barracuda10WSommaire du Match
103 - 2019-12-13591Heat0Barracuda5WSommaire du Match
108 - 2019-12-18614Stars1Barracuda2WSommaire du Match
111 - 2019-12-21643Condors2Barracuda1LSommaire du Match
115 - 2019-12-25657Barracuda6Griffins4WSommaire du Match
116 - 2019-12-26677Barracuda5Griffins1WSommaire du Match
122 - 2020-01-01696Barracuda3Heat2WSommaire du Match
123 - 2020-01-02698Heat2Barracuda3WXSommaire du Match
126 - 2020-01-05715Wild1Barracuda2WXSommaire du Match
129 - 2020-01-08732Barracuda4Condors0WSommaire du Match
131 - 2020-01-10756Barracuda8Reign2WSommaire du Match
133 - 2020-01-12761Roadrunners1Barracuda2WXXSommaire du Match
137 - 2020-01-16779Gulls1Barracuda2WXSommaire du Match
138 - 2020-01-17802Gulls3Barracuda1LSommaire du Match
142 - 2020-01-21815Barracuda2Wild0WSommaire du Match
143 - 2020-01-22826Barracuda2Wild3LXXSommaire du Match
145 - 2020-01-24845Barracuda3Heat2WSommaire du Match
147 - 2020-01-26849Wild3Barracuda1LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29866Barracuda5Reign1WSommaire du Match
151 - 2020-01-30881Barracuda3Condors4LXXSommaire du Match
155 - 2020-02-03895Condors1Barracuda2WSommaire du Match
158 - 2020-02-06920Condors3Barracuda0LSommaire du Match
159 - 2020-02-07930Heat1Barracuda6WSommaire du Match
165 - 2020-02-13954Eagles2Barracuda4WSommaire du Match
166 - 2020-02-14971Eagles0Barracuda8WSommaire du Match
172 - 2020-02-201007Barracuda5Roadrunners0WSommaire du Match
173 - 2020-02-211014Barracuda3Roadrunners2WSommaire du Match
176 - 2020-02-241026Barracuda2Gulls3LXXSommaire du Match
178 - 2020-02-261037Reign0Barracuda2WSommaire du Match
179 - 2020-02-271051Barracuda2Condors4LSommaire du Match
183 - 2020-03-021071Gulls4Barracuda3LXSommaire du Match
185 - 2020-03-041081Griffins-Barracuda-
186 - 2020-03-051085Griffins-Barracuda-
190 - 2020-03-091112Barracuda-Gulls-
192 - 2020-03-111125Barracuda-Eagles-
193 - 2020-03-121139Barracuda-Eagles-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
184,443$ 86,000$ 31,050$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 90,018$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 11 959$ 10,549$




LigueDomicileVisiteur
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
146339100523424811613232187031301195366312130210412963661002484567041986817310213165369276747128536655310352905518.97%2223086.49%71404211466.41%1060158466.92%62392967.06%191614321165387748421
Total Saison Régulière6339100523424811613232187031301195366312130210412963661002484567041986817310213165369276747128536655310352905518.97%2223086.49%71404211466.41%1060158466.92%62392967.06%191614321165387748421