Barracuda

GP: 21 | W: 16 | L: 3 | OTL: 2 | P: 34
GF: 93 | GA: 41 | PP%: 21.43% | PK%: 91.43%
DG: Jean-Sebastien Champagne | Morale : 66 | Moyenne d'Équipe : 62
Prochain matchs #414 vs Gulls
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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)XX100.008142747079779573516772537159629373660
2Filip ChytilX100.005636916882758866786564676560628471650
3Jeremy BraccoX100.005436926558949564796961586463626771640
4Jakob Forsbacka KarlssonX100.005935936774756265736662646365647371630
5Gabriel DumontX100.005440786267918761686256595877745671620
6Jayson MegnaX100.006237886076949259625857595877695671620
7Scott WilsonX100.008436916370736162546159645873675071620
8Zack MitchellX100.006237875877928857615656585371665972610
9Logan Brown (R)X100.006536925896806957625956605461638571600
10Colby CaveX100.006638895677746855735754635269665171590
11Kieffer Bellows (R)X100.006242755876949356585253545862638171590
12Graham KnottX100.006737895483918653565351565263626371580
13Caleb HerbertX100.006138845871706757625654586267635371580
14Jaycob MegnaX100.005638915997816458305752714973675571640
15Tim HeedX100.005437896468776163307359625175684871620
16Joey LaleggiaX100.005337896066949259306055544873675871610
17Anthony BitettoX100.007938815879715257305952564677694071600
18Ryan MurphyX100.005235936069826959306253574671668171600
19Adam PlantX100.005436635770747356305251545066675470580
Rayé
MOYENNE D'ÉQUIPE100.00623786617682776054605759566966647161
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 Gillies100.00718078977069717069717069735171720
2Michael Dipietro (R)100.00646563746362646362646360637871630
Rayé
MOYENNE D'ÉQUIPE100.0068737186676668676668676568657168
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
1Andrei SvechnikovBarracuda (San)LW/RW21151833244358628108217413.89%450624.1413414750002493259.15%16400001.3002100513
2Filip ChytilBarracuda (San)C211613291540134492215917.39%550424.0016713781013673167.94%31500111.1502000410
3Jeremy BraccoBarracuda (San)RW2171926144013227215569.72%046622.2235822820001341075.41%6100001.1102000111
4Jakob Forsbacka KarlssonBarracuda (San)C2111132470096283237113.25%245521.70191018780001353166.36%43400011.0502000221
5Scott WilsonBarracuda (San)LW2171522412052357324599.59%143020.5245923740000112158.62%2900001.0212000031
6Tim HeedBarracuda (San)D215162117120181736132013.89%1349623.643582781011158000.00%000000.8500000121
7Jayson MegnaBarracuda (San)C2181220182043142123819.05%228313.5100013000001064.98%25700001.4100000021
8Ryan MurphyBarracuda (San)D21114151040211113139.09%1030714.630001600002000.00%000000.9800000001
9Kieffer BellowsBarracuda (San)LW217815144017132971424.14%125812.3200000000010075.00%800001.1600000022
10Jaycob MegnaBarracuda (San)D2168141710019163442317.65%2249823.733252283000158000.00%000000.5600000010
11Anthony BitettoBarracuda (San)D2148121018041831131812.90%1944421.193251973000054110.00%000000.5400000100
12Joey LaleggiaBarracuda (San)D21110117801173112193.23%1845521.701451979000160000.00%000000.4800000000
13Gabriel DumontBarracuda (San)C210775601920287190.00%222010.5200006000000063.18%20100000.6300000000
14Zack MitchellBarracuda (San)RW2133631351319349288.82%241119.59112975000001075.00%2000000.2900001000
15Adam PlantBarracuda (San)D20055101602886150.00%1230815.4100011000020000.00%000000.3200000000
16Colby CaveBarracuda (San)C21022100313010.00%0331.58000270000100054.55%1100001.2000000000
17Logan BrownBarracuda (San)C211122403173614.29%0542.61000113000000173.91%2300000.7300000000
18Korbinian HolzerSan Jose SharksD1011200202120.00%32424.030001300000000.00%000000.8300000000
19Caleb HerbertBarracuda (San)C21011100251000.00%0401.93000000111380072.34%4700000.4900000000
Stats d'équipe Total ou en Moyenne378921742661811601035534872318952512.72%116620216.412142631938251231150415765.86%157000120.86110101141511
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)2116320.9081.88127502404330000.90010210001
Stats d'équipe Total ou en Moyenne2116320.9081.88127502404330000.90010210001


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
1Condors422000001192211000005412110000065140.50011203100322929314921019830718882240701516.67%19289.47%048372666.53%34951967.24%20230666.01%641480383127250141
2Eagles330000002341911000000817220000001531261.000234366013229293128210198307185410224912325.00%10190.00%048372666.53%34951967.24%20230666.01%641480383127250141
3Gulls11000000817110000008170000000000021.0008162400322929340210198307182164113266.67%2150.00%148372666.53%34951967.24%20230666.01%641480383127250141
4Heat64001010251213320000101376320010001257121.0002544690032292932082101983071813440539532825.00%220100.00%048372666.53%34951967.24%20230666.01%641480383127250141
5Rampage201010003301010000012-11000100021120.500369003229293412101983071839714407114.29%70100.00%048372666.53%34951967.24%20230666.01%641480383127250141
6Reign11000000606110000006060000000000021.0006121801322929344210198307181680225120.00%000.00%048372666.53%34951967.24%20230666.01%641480383127250141
7Roadrunners320001001596110000007342100010086250.83315294400322929390210198307186020194617529.41%6183.33%048372666.53%34951967.24%20230666.01%641480383127250141
8Stars1000000123-1000000000001000000123-110.5002460032292932321019830718213822700.00%4175.00%048372666.53%34951967.24%20230666.01%641480383127250141
Total2113302111934152107200010481830116102101452322340.8109317426702322929372321019830718433116160355982121.43%70691.43%148372666.53%34951967.24%20230666.01%641480383127250141
_Since Last GM Reset2113302111934152107200010481830116102101452322340.8109317426702322929372321019830718433116160355982121.43%70691.43%148372666.53%34951967.24%20230666.01%641480383127250141
_Vs Conference5400010029101933000000214172100010086290.900295786013229293174210198307189734237925832.00%8275.00%148372666.53%34951967.24%20230666.01%641480383127250141

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2134L29317426772343311616035502
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2113321119341
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
107200104818
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
116121014523
Derniers 10 Matchs
WLOTWOTL SOWSOL
720010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
982121.43%70691.43%1
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
210198307183229293
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
48372666.53%34951967.24%20230666.01%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
641480383127250141


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 - 2019-11-14414Barracuda-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
24 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
76,907$ 104,000$ 31,050$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 39,242$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 121 1,052$ 127,292$




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
142113302111934152107200010481830116102101452322349317426702322929372321019830718433116160355982121.43%70691.43%148372666.53%34951967.24%20230666.01%641480383127250141
Total Saison Régulière2113302111934152107200010481830116102101452322349317426702322929372321019830718433116160355982121.43%70691.43%148372666.53%34951967.24%20230666.01%641480383127250141