Barracuda

GP: 36 | W: 28 | L: 6 | OTL: 2 | P: 58
GF: 159 | GA: 66 | PP%: 19.19% | PK%: 89.06%
DG: Jean-Sebastien Champagne | Morale : 79 | Moyenne d'Équipe : 61
Prochain matchs #657 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 BraccoX100.005436926558949564796961586463626784640
2Jakob Forsbacka KarlssonX100.005935936774756265736662646365647384630
3Gabriel DumontX100.005440786267918761686256595877745685620
4Jayson MegnaX100.006237886076949259625857595877695684620
5Scott WilsonX100.008436916370736162546159645873675084620
6Logan Brown (R)X100.006536925896806957625956605461638584610
7Zack MitchellX100.006237875877928857615656585371665984610
8Colby CaveX100.006638895677746855735754635269665184590
9Graham KnottX100.006737895483918653565351565263626384590
10Kieffer Bellows (R)X100.006242755876949356585253545862638184590
11Caleb HerbertX100.006138845871706757625654586267635384580
12Andrew OglevieX100.005335955657797355575454525567646155560
13Jaycob MegnaX100.005638915997816458305752714973675584640
14Tim HeedX100.005437896468776163307359625175684884620
15Joey LaleggiaX100.005337896066949259306055544873675884610
16Anthony BitettoX100.007938815879715257305952564677694084600
17Ryan MurphyX100.005235936069826959306253574671668184600
18Adam PlantX100.005436635770747356305251545066675484580
Rayé
MOYENNE D'ÉQUIPE100.00613787607483755953595559546966618261
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 Gillies100.00718078977069717069717069735184720
2Michael Dipietro (R)100.00646563746362646362646360637884630
Rayé
MOYENNE D'ÉQUIPE100.0068737186676668676668676568658468
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)RW3613375036802542133341099.77%082622.953811341400111712075.00%13600001.2102000512
2Andrei SvechnikovSan Jose SharksLW/RW31232548336410126471664210913.86%574924.19257221171013747260.61%23100001.2803101634
3Jakob Forsbacka KarlssonBarracuda (San)C36182543264024961523711111.84%479622.1311213241321013664167.68%72700011.0802000334
4Tim HeedBarracuda (San)D369314025255333670254212.86%2485023.63581354143044198010.00%000000.9400001132
5Scott WilsonBarracuda (San)LW361323361528095571214210310.74%374520.705611301280111304156.52%4600000.9712000241
6Ryan MurphyBarracuda (San)D36225272680619259208.00%2053014.7400011000004000.00%000001.0200000001
7Jayson MegnaBarracuda (San)C36121426248095689277313.48%254415.13011217000091069.09%49500000.9500000023
8Kieffer BellowsBarracuda (San)LW3611142522120312368124016.18%449513.76022117000040057.14%2100001.0100000022
9Jaycob MegnaBarracuda (San)D3610132324495333065154415.38%3684623.52551037143000195100.00%000000.5400100011
10Joey LaleggiaBarracuda (San)D3631720208017174720276.38%2878121.70268291341012108000.00%000000.5100000011
11Anthony BitettoBarracuda (San)D366121823320691558233610.34%2976021.1252732128000093210.00%000000.4700000120
12Gabriel DumontBarracuda (San)C36413171613530295612427.14%336510.1600007000000067.35%34300000.9300100021
13Zack MitchellBarracuda (San)RW36791611175263669206210.14%371619.9211218135000001077.14%3500000.4500001000
14Adam PlantBarracuda (San)D350101025280621213480.00%2054415.5400023000040000.00%000000.3700000000
15Logan BrownBarracuda (San)C36213260571981310.53%01303.64101219000000176.39%7200000.4600000000
16Colby CaveBarracuda (San)C36022100426010.00%0591.660003120001180065.00%2000000.6700000000
17Korbinian HolzerSan Jose SharksD1011200202120.00%32424.030001300000000.00%000000.8300000000
18Graham KnottBarracuda (San)C36011000011120.00%0280.80000120000000100.00%1100000.6900000000
19Caleb HerbertBarracuda (San)C36011200562000.00%0661.83000000112630068.49%7300000.3000000000
Stats d'équipe Total ou en Moyenne64313327440733331030602531116233284411.45%184986415.34305686293129837101577922767.92%221000010.8319303182422
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)3628620.9081.79217804657060000.92313360001
Stats d'équipe Total ou en Moyenne3628620.9081.79217804657060000.92313360001


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
1Condors5230000012111312000006602110000065140.400122234005450514170387388514221082550851616.25%24291.67%1854124868.43%59586368.95%37953670.71%1130853627213422242
2Eagles4400000026620220000001138220000001531281.000264874015450514168387388514226516367416318.75%17382.35%0854124868.43%59586368.95%37953670.71%1130853627213422242
3Gulls54100000261016220000001321132100000138580.8002651770054505141993873885142210428307425832.00%12375.00%2854124868.43%59586368.95%37953670.71%1130853627213422242
4Heat860010103213194300001018711430010001468161.00032578901545051428338738851422167507513339820.51%320100.00%0854124868.43%59586368.95%37953670.71%1130853627213422242
5Rampage201010003301010000012-11000100021120.500369005450514413873885142239714407114.29%70100.00%0854124868.43%59586368.95%37953670.71%1130853627213422242
6Reign550000003763133000000213182200000016313101.0003771108025450514266387388514228824279030620.00%11281.82%1854124868.43%59586368.95%37953670.71%1130853627213422242
7Roadrunners52100110191363110001011742100010086270.7001934530054505141293873885142210238669023521.74%16381.25%0854124868.43%59586368.95%37953670.71%1130853627213422242
8Stars21000001440110000002111000000123-130.7504711005450514433873885142233618341616.25%9188.89%0854124868.43%59586368.95%37953670.71%1130853627213422242
Total3624602121159669319134000208331521711202101763541580.8061592964550454505141299387388514227061943166201723319.19%1281489.06%4854124868.43%59586368.95%37953670.71%1130853627213422242
_Since Last GM Reset3624602121159669319134000208331521711202101763541580.8061592964550454505141299387388514227061943166201723319.19%1281489.06%4854124868.43%59586368.95%37953670.71%1130853627213422242
_Vs Conference15112001108229538610001045123375100100371720250.833821562380254505145943873885142229490123254781924.36%39879.49%3854124868.43%59586368.95%37953670.71%1130853627213422242

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3658L1159296455129970619431662004
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
36246212115966
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1913400208331
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1711221017635
Derniers 10 Matchs
WLOTWOTL SOWSOL
820000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1723319.19%1281489.06%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
387388514225450514
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
854124868.43%59586368.95%37953670.71%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1130853627213422242


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 - 2019-12-25657Barracuda-Griffins-
116 - 2019-12-26677Barracuda-Griffins-
122 - 2020-01-01696Barracuda-Heat-
123 - 2020-01-02698Heat-Barracuda-
126 - 2020-01-05715Wild-Barracuda-
129 - 2020-01-08732Barracuda-Condors-
131 - 2020-01-10756Barracuda-Reign-
133 - 2020-01-12761Roadrunners-Barracuda-
137 - 2020-01-16779Gulls-Barracuda-
138 - 2020-01-17802Gulls-Barracuda-
142 - 2020-01-21815Barracuda-Wild-
143 - 2020-01-22826Barracuda-Wild-
145 - 2020-01-24845Barracuda-Heat-
147 - 2020-01-26849Wild-Barracuda-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29866Barracuda-Reign-
151 - 2020-01-30881Barracuda-Condors-
155 - 2020-02-03895Condors-Barracuda-
158 - 2020-02-06920Condors-Barracuda-
159 - 2020-02-07930Heat-Barracuda-
165 - 2020-02-13954Eagles-Barracuda-
166 - 2020-02-14971Eagles-Barracuda-
172 - 2020-02-201007Barracuda-Roadrunners-
173 - 2020-02-211014Barracuda-Roadrunners-
176 - 2020-02-241026Barracuda-Gulls-
178 - 2020-02-261037Reign-Barracuda-
179 - 2020-02-271051Barracuda-Condors-
183 - 2020-03-021071Gulls-Barracuda-
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
15 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
118,272$ 86,000$ 31,050$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 59,451$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 80 959$ 76,720$




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
143624602121159669319134000208331521711202101763541581592964550454505141299387388514227061943166201723319.19%1281489.06%4854124868.43%59586368.95%37953670.71%1130853627213422242
Total Saison Régulière3624602121159669319134000208331521711202101763541581592964550454505141299387388514227061943166201723319.19%1281489.06%4854124868.43%59586368.95%37953670.71%1130853627213422242