Barracuda

GP: 4 | W: 4 | L: 0 | OTL: 0 | P: 8
GF: 18 | GA: 4 | PP%: 17.65% | PK%: 100.00%
DG: Jean-Sebastien Champagne | Morale : 56 | Moyenne d'Équipe : 62
Prochain matchs #92 vs Heat
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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
1Andrei Svechnikov (R)XX100.008142747079779573516772537159629356660
2Filip ChytilX100.005636916882758866786564676560628457650
3Jeremy BraccoX100.005436926558949564796961586463626757640
4Jakob Forsbacka KarlssonX100.005935936774756265736662646365647357630
5Gabriel DumontX100.005440786267918761686256595877745657620
6Jayson MegnaX100.006237886076949259625857595877695657620
7Scott WilsonX100.008436916370736162546159645873675057620
8Logan Brown (R)X100.006536925896806957625956605461638557600
9Zack MitchellX100.006237875877928857615656585371665957600
10Colby CaveX100.006638895677746855735754635269665157590
11Kieffer Bellows (R)X100.006242755876949356585253545862638157590
12Graham KnottX100.006737895483918653565351565263626357580
13Caleb HerbertX100.006138845871706757625654586267635357580
14Jaycob MegnaX100.005638915997816458305752714973675557640
15Tim HeedX100.005437896468776163307359625175684857620
16Joey LaleggiaX100.005337896066949259306055544873675857610
17Anthony BitettoX100.007938815879715257305952564677694057600
18Ryan MurphyX100.005235936069826959306253574671668157600
19Adam PlantX100.005436635770747356305251545066675456570
Rayé
MOYENNE D'ÉQUIPE100.00623786617682776054605759566966645761
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 Gillies100.00718078977069717069717069735157720
2Michael Dipietro (R)100.00646563746362646362646360637857620
Rayé
MOYENNE D'ÉQUIPE100.0068737186676668676668676568655767
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'ÉquipePOS GP 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
1Jayson MegnaBarracuda (San)C4358110016114827.27%06616.5800013000000070.18%5700002.4100000020
2Andrei SvechnikovBarracuda (San)LW/RW444810802332762614.81%29624.01000113000272163.04%4600001.6700000210
3Jakob Forsbacka KarlssonBarracuda (San)C42352001171451414.29%08220.75022514000052073.53%6800001.2100000011
4Kieffer BellowsBarracuda (San)LW41347202280212.50%0389.74000000000000100.00%100002.0500000002
5Anthony BitettoBarracuda (San)D42133208173428.57%58220.681013900009010.00%000000.7300000100
6Joey LaleggiaBarracuda (San)D41232205093311.11%58521.4111271300009000.00%000000.7000000000
7Tim HeedBarracuda (San)D42133204592222.22%19523.7510161400009000.00%000000.6300000100
8Ryan MurphyBarracuda (San)D4033400203110.00%05513.990000100000000.00%000001.0700000000
9Scott WilsonBarracuda (San)LW4033-1006817490.00%17318.48022610000010066.67%300000.8100000000
10Filip ChytilBarracuda (San)C411200001394711.11%19724.370002120000100076.09%4600000.4100000000
11Gabriel DumontBarracuda (San)C40221203510430.00%14912.4600004000000063.64%3300000.8000000000
12Adam PlantBarracuda (San)D3022400430000.00%14515.320000000004000.00%000000.8700000000
13Jaycob MegnaBarracuda (San)D420234034130415.38%49323.4900071400008000.00%000000.4300000000
14Jeremy BraccoBarracuda (San)RW40221001814390.00%09022.65011413000050088.89%900000.4400000000
15Colby CaveBarracuda (San)C4011100000000.00%0102.52000010000100100.00%100001.9900000000
16Korbinian HolzerSan Jose SharksD1011200202120.00%32424.030001300000000.00%000000.8300000000
17Zack MitchellBarracuda (San)RW4011-120216120.00%17218.06000110000000075.00%400000.2800000000
18Caleb HerbertBarracuda (San)C4000000010000.00%071.7700000000050062.50%800000.0000000000
19Logan BrownBarracuda (San)C4000020013010.00%0133.3000011000000091.67%1200000.0000000000
Stats d'équipe Total ou en Moyenne72183553522606778162419711.11%25118216.42369451440002774271.53%28800000.9000000443
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)44000.9500.99242014800000.000040000
Stats d'équipe Total ou en Moyenne44000.9500.99242014800000.000040000


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam PlantBarracuda (San)D241995-05-09No170 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm0$0$NoLien
Andrei SvechnikovBarracuda (San)LW/RW192000-03-26Yes195 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Anthony BitettoBarracuda (San)D281990-07-15No210 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm300,000$0$0$NoLien
Caleb HerbertBarracuda (San)C271991-10-12No185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Colby CaveBarracuda (San)C241994-12-26No200 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Filip ChytilBarracuda (San)C191999-09-05No208 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Gabriel DumontBarracuda (San)C281990-10-06No190 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Graham KnottBarracuda (San)C221997-01-13No199 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Jakob Forsbacka KarlssonBarracuda (San)C221996-10-31No184 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$NoLien
Jaycob MegnaBarracuda (San)D261992-12-10No221 Lbs6 ft6NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Jayson MegnaBarracuda (San)C291990-02-01No195 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm300,000$0$0$NoLien
Jeremy BraccoBarracuda (San)RW221997-03-17No181 Lbs5 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Joey LaleggiaBarracuda (San)D271992-06-24No182 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Jon GilliesBarracuda (San)G251994-01-22No223 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Kieffer BellowsBarracuda (San)LW211998-06-10Yes195 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Logan BrownBarracuda (San)C211998-03-05Yes220 Lbs6 ft6NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Michael DipietroBarracuda (San)G201999-06-09Yes200 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Ryan MurphyBarracuda (San)D261993-03-31No181 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Scott WilsonBarracuda (San)LW271992-04-24No186 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Tim HeedBarracuda (San)D281991-01-27No180 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm300,000$0$0$NoLien
Zack MitchellBarracuda (San)RW261993-01-07No196 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2124.33195 Lbs6 ft02.57495,238$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andrei SvechnikovFilip ChytilJeremy Bracco40122
2Scott WilsonJakob Forsbacka KarlssonZack Mitchell30122
3Kieffer BellowsJayson MegnaAndrei Svechnikov20122
4Filip ChytilGabriel DumontJeremy Bracco10122
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
1Andrei SvechnikovFilip ChytilJeremy Bracco60122
2Scott WilsonJakob Forsbacka KarlssonZack Mitchell40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaycob MegnaTim Heed60122
2Joey LaleggiaAnthony Bitetto40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Andrei SvechnikovFilip Chytil60122
2Jeremy BraccoJakob Forsbacka Karlsson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaycob MegnaTim Heed60122
2Joey LaleggiaAnthony Bitetto40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Andrei Svechnikov60122Jaycob MegnaTim Heed60122
2Filip Chytil40122Joey LaleggiaAnthony Bitetto40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Andrei SvechnikovFilip Chytil60122
2Jeremy BraccoJakob Forsbacka Karlsson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaycob MegnaTim Heed60122
2Joey LaleggiaAnthony Bitetto40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andrei SvechnikovFilip ChytilJeremy BraccoJaycob MegnaTim Heed
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andrei SvechnikovFilip ChytilJeremy BraccoJaycob MegnaTim Heed
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Logan Brown, Colby Cave, Caleb HerbertLogan Brown, Colby CaveCaleb Herbert
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Murphy, Adam Plant, Joey LaleggiaRyan MurphyAdam Plant, Joey Laleggia
Tirs de Pénalité
Andrei Svechnikov, Filip Chytil, Jeremy Bracco, Jakob Forsbacka Karlsson, Scott Wilson
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
1Condors22000000927110000004131100000051441.00091827006471984338801391116329111.11%70100.00%09612974.42%7310470.19%375369.81%1219273234625
2Heat10001000321000000000001000100032121.00035800647120433880125610133133.33%50100.00%09612974.42%7310470.19%375369.81%1219273234625
3Reign11000000606110000006060000000000021.000612180164714443388011680225120.00%000.00%09612974.42%7310470.19%375369.81%1219273234625
Total43001000184142200000010192100100083581.00018355301647116243388018025266717317.65%120100.00%09612974.42%7310470.19%375369.81%1219273234625
_Since Last GM Reset43001000184142200000010192100100083581.00018355301647116243388018025266717317.65%120100.00%09612974.42%7310470.19%375369.81%1219273234625
_Vs Conference11000000606110000006060000000000021.000612180164714443388011680225120.00%000.00%09612974.42%7310470.19%375369.81%1219273234625

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
48OTW11835531628025266701
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4301000184
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000101
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
210100083
Derniers 10 Matchs
WLOTWOTL SOWSOL
301000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
17317.65%120100.00%0
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
43388016471
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
9612974.42%7310470.19%375369.81%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1219273234625


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 - 2019-09-1992Barracuda-Heat-
19 - 2019-09-2099Heat-Barracuda-
24 - 2019-09-25115Barracuda-Rampage-
25 - 2019-09-26127Barracuda-Stars-
31 - 2019-10-02152Rampage-Barracuda-
34 - 2019-10-05172Heat-Barracuda-
38 - 2019-10-09189Barracuda-Roadrunners-
39 - 2019-10-10203Barracuda-Roadrunners-
46 - 2019-10-17235Roadrunners-Barracuda-
47 - 2019-10-18252Eagles-Barracuda-
52 - 2019-10-23274Barracuda-Eagles-
53 - 2019-10-24288Barracuda-Eagles-
56 - 2019-10-27299Heat-Barracuda-
60 - 2019-10-31329Barracuda-Heat-
62 - 2019-11-02339Gulls-Barracuda-
67 - 2019-11-07376Barracuda-Condors-
68 - 2019-11-08380Condors-Barracuda-
74 - 2019-11-14414Barracuda-Gulls-
75 - 2019-11-15421Barracuda-Reign-
78 - 2019-11-18432Barracuda-Gulls-
80 - 2019-11-20448Roadrunners-Barracuda-
81 - 2019-11-21462Roadrunners-Barracuda-
86 - 2019-11-26470Eagles-Barracuda-
89 - 2019-11-29503Gulls-Barracuda-
90 - 2019-11-30509Barracuda-Heat-
94 - 2019-12-04529Barracuda-Gulls-
95 - 2019-12-05542Barracuda-Reign-
99 - 2019-12-09558Reign-Barracuda-
101 - 2019-12-11573Reign-Barracuda-
103 - 2019-12-13591Heat-Barracuda-
108 - 2019-12-18614Stars-Barracuda-
111 - 2019-12-21643Condors-Barracuda-
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
32 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
13,787$ 104,000$ 31,050$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 7,082$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 181 1,052$ 190,412$




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
14430010001841422000000101921001000835818355301647116243388018025266717317.65%120100.00%09612974.42%7310470.19%375369.81%1219273234625
Total Saison Régulière430010001841422000000101921001000835818355301647116243388018025266717317.65%120100.00%09612974.42%7310470.19%375369.81%1219273234625