hellpepitosKingspatriots

 

 


Barracuda

GP: 5 | W: 4 | L: 1 | OTL: 0 | P: 8
GF: 25 | GA: 16 | PP%: 25.00% | PK%: 71.43%
DG: Dominic Joyal | Morale : 50 | Moyenne d'Équipe : 69
Prochain matchs #44 vs Diabotins
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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
1Vladislav Namestnikov0XXX100.00733159335477767361828374696055050740
2Jake DeBrusk0X100.00563067255373708135818653764646050730
3Travis Konecny0X100.00602958293970787837828565754557050730
4Nikolay Goldobin0X100.00381767325667807349818255744737050710
5Barclay Goodrow0X100.00803244478051726479768067725870050680
6Devante Smith-Pelly0XX100.00823063478152746446757965756351050670
7Tyler Ennis0XX100.00692473353449597438788251876956050670
8Joey Anderson (R)0X100.00692471495059656350747969673339050650
9Brett Seney0X100.00712842442547856765778150663342050640
10Nick Jensen0X100.00583070476367928028837569755651050730
11Derrick Pouliot0X100.00643163446263768128837648715554050720
12Samuel Girard0X100.00532579432969808378857653644141050710
13Connor Murphy0X100.00823156478166708226827567575253050710
14Slater Koekkoek0X100.00812855466252898229817646654757050700
Rayé
1Tyler Pitlick0X100.00802466436961526937768170644742050670
2Max Comtois (R)0X100.00523376576968825931687769683446050650
3Curtis Lazar0XX100.00823161506744766148767850625363050650
4Teddy Blueger (R)0X100.00792460465250816648738071674546050650
5Nikita Scherbak0X100.00472470515956676058677757673940050630
6Cory Conacher0XXX100.00512949524644916133687853736056050620
7Kerby Rychel0X100.00414281668046845631657265665360050620
8Blake Lizotte0X100.00262282683051845631647070683043050560
9Connor Clifton0X100.00832946474356808030807533674048050680
10Jon Merrill0X100.00641252457563778027826949595134050680
11Andreas Borgman0X100.00832661526250857530767444664142050660
MOYENNE D'ÉQUIPE100.0065276346575877714277785969484905067
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
1Malcolm Subban100.0089838682879289899061885870050820
2Al Montoya100.0082818277828886859098723472050800
Rayé
1Scott Wedgewood100.0083888478828986868954606164050790
2Landon Bow100.0080898077818087839351605461050770
3Brandon Halverson100.0079917977817885827650604858050740
MOYENNE D'ÉQUIPE100.008386827883858785886368516505078
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'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
1Travis KonecnyBarracuda (ICE)LW47411102064174541.18%29022.58123416000071057.14%710012.4400000211
2Devante Smith-PellyBarracuda (ICE)LW/RW418980010913267.69%27719.25123617000000042.86%732002.3400000011
3Tyler EnnisBarracuda (ICE)C/LW45498206396655.56%17619.25213317000002032.00%5010002.3400000100
4Vladislav NamestnikovBarracuda (ICE)C/LW/RW4178560141514397.14%910125.271126170110100062.20%8261001.5800000000
5Jake DeBruskBarracuda (ICE)LW4448620231631025.00%19523.880227181121110075.00%441011.6800000010
6Samuel GirardBarracuda (ICE)D42465000462333.33%410325.7610121800007010.00%001001.1600000001
7Barclay GoodrowBarracuda (ICE)RW421310086114418.18%47919.97011418101150066.67%620000.7500000000
8Nick JensenBarracuda (ICE)D40338402106240.00%511729.49022218000010000.00%033000.5100000001
9Nikolay GoldobinBarracuda (ICE)LW41232002262116.67%15614.1800000000040066.67%300001.0600000000
10Derrick PouliotBarracuda (ICE)D4022920368310.00%510726.8900041801101000100.00%121000.3700000000
11Joey AndersonBarracuda (ICE)C42023008870428.57%26315.8500012000041057.58%3301000.6300000000
12Brett SeneyBarracuda (ICE)C4022320343310.00%24711.8300002000000075.00%2010000.8500000000
13Connor MurphyBarracuda (ICE)D400062012126310.00%99724.3600041800009000.00%003000.0000000000
14Slater KoekkoekBarracuda (ICE)D4000460432110.00%25514.000000100003000.00%020000.0000000000
Stats d'équipe Total ou en Moyenne56254166782808089124385620.16%49117020.9061117431842352834155.40%2132513021.1300000334
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
1Malcolm SubbanBarracuda (ICE)44000.9411.7524000711869100.000040110
Stats d'équipe Total ou en Moyenne44000.9411.7524000711869100.000040110


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
Al MontoyaBarracuda (ICE)G341985-02-13No200 Lbs188 CMNoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Andreas BorgmanBarracuda (ICE)D241995-06-18No199 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,775,000$0$0$NoLien
Barclay GoodrowBarracuda (ICE)RW261993-02-26No215 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Blake LizotteBarracuda (ICE)LW211997-12-13No172 Lbs170 CMNoNoNo2Contrat d'EntréePro & Farm1,491,667$0$0$NoLien
Brandon HalversonBarracuda (ICE)G231996-03-29No210 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm894,167$0$0$NoLien
Brett SeneyBarracuda (ICE)C231996-02-28No156 Lbs175 CMNoNoNo2Avec RestrictionPro & Farm825,000$0$0$NoLien
Connor CliftonBarracuda (ICE)D241995-04-28No175 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm735,000$0$0$NoLien
Connor MurphyBarracuda (ICE)D261993-03-26No212 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm3,850,000$0$0$NoLien / Lien NHL
Cory ConacherBarracuda (ICE)C/LW/RW291989-12-14No180 Lbs173 CMNoNoNo2Sans RestrictionPro & Farm780,000$0$0$NoLien
Curtis LazarBarracuda (ICE)C/RW241995-02-02No205 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm950,000$0$0$NoLien / Lien NHL
Derrick PouliotBarracuda (ICE)D251994-01-16No196 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm1,100,000$0$0$NoLien / Lien NHL
Devante Smith-PellyBarracuda (ICE)LW/RW271992-06-14No223 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,300,000$0$0$NoLien / Lien NHL
Jake DeBruskBarracuda (ICE)LW221996-10-17No188 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm1,288,333$0$0$NoLien
Joey AndersonBarracuda (ICE)C211998-06-19Yes190 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Jon MerrillBarracuda (ICE)D271992-02-03No205 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm1,137,500$0$0$NoLien / Lien NHL
Kerby RychelBarracuda (ICE)LW241994-10-07No213 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm725,000$0$0$NoLien
Landon BowBarracuda (ICE)G241995-08-24No210 Lbs196 CMNoNoNo2Avec RestrictionPro & Farm697,500$0$0$NoLien
Malcolm SubbanBarracuda (ICE)G251993-12-21No200 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Max ComtoisBarracuda (ICE)LW201999-01-08Yes207 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Nick JensenBarracuda (ICE)D291990-09-21No194 Lbs183 CMNoNoNo2Sans RestrictionPro & Farm1,080,000$0$0$NoLien / Lien NHL
Nikita ScherbakBarracuda (ICE)RW231995-12-30No192 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm1,063,333$0$0$NoLien
Nikolay GoldobinBarracuda (ICE)LW231995-10-07No196 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm1,137,500$0$0$NoLien / Lien NHL
Samuel GirardBarracuda (ICE)D211998-05-12No162 Lbs178 CMNoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Scott WedgewoodBarracuda (ICE)G271992-08-14No195 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Slater KoekkoekBarracuda (ICE)D251994-02-18No193 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm865,000$0$0$NoLien / Lien NHL
Teddy BluegerBarracuda (ICE)C251994-08-15Yes185 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Travis KonecnyBarracuda (ICE)LW221997-03-11No175 Lbs178 CMNoNoNo2Contrat d'EntréePro & Farm1,106,667$0$0$NoLien / Lien NHL
Tyler EnnisBarracuda (ICE)C/LW291989-10-06No161 Lbs175 CMNoNoNo2Sans RestrictionPro & Farm780,000$0$0$NoLien / Lien NHL
Tyler PitlickBarracuda (ICE)RW271991-11-01No200 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$NoLien / Lien NHL
Vladislav NamestnikovBarracuda (ICE)C/LW/RW261992-11-22No184 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,937,500$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3024.87193 Lbs183 CM1.601,086,472$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake DeBruskVladislav NamestnikovBarclay Goodrow40122
2Travis KonecnyTyler EnnisDevante Smith-Pelly30122
3Nikolay GoldobinJoey AndersonVladislav Namestnikov20122
4Jake DeBruskBrett SeneyTravis Konecny10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick JensenDerrick Pouliot40122
2Samuel GirardConnor Murphy30122
3Slater KoekkoekNick Jensen20122
4Derrick PouliotSamuel Girard10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake DeBruskVladislav NamestnikovBarclay Goodrow60122
2Travis KonecnyTyler EnnisDevante Smith-Pelly40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick JensenDerrick Pouliot60122
2Samuel GirardConnor Murphy40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Vladislav NamestnikovJake DeBrusk60122
2Travis KonecnyNikolay Goldobin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick JensenDerrick Pouliot60122
2Samuel GirardConnor Murphy40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Vladislav Namestnikov60122Nick JensenDerrick Pouliot60122
2Jake DeBrusk40122Samuel GirardConnor Murphy40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Vladislav NamestnikovJake DeBrusk60122
2Travis KonecnyNikolay Goldobin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick JensenDerrick Pouliot60122
2Samuel GirardConnor Murphy40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DeBruskVladislav NamestnikovBarclay GoodrowNick JensenDerrick Pouliot
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DeBruskVladislav NamestnikovBarclay GoodrowNick JensenDerrick Pouliot
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joey Anderson, Brett Seney, Barclay GoodrowJoey Anderson, Brett SeneyBarclay Goodrow
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Slater Koekkoek, Connor Murphy, Nick JensenSlater KoekkoekConnor Murphy, Nick Jensen
Tirs de Pénalité
Vladislav Namestnikov, Jake DeBrusk, Travis Konecny, Nikolay Goldobin, Barclay Goodrow
Gardien
#1 : Malcolm Subban, #2 : Al Montoya


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
1Benchwarmers110000001631311000000163130000000000021.000162743005911035423750037106229333.33%3233.33%2539356.99%417753.25%387153.52%12177102407640
2Casse-Tete21100000411-70000000000021100000411-720.5004610005911037423750040151225600.00%6183.33%0539356.99%417753.25%387153.52%12177102407640
3Diabotins11000000211110000002110000000000021.000246005911026423750025114203133.33%2150.00%0539356.99%417753.25%387153.52%12177102407640
4Leftovers11000000312110000003120000000000021.000347005911031423750027166206233.33%30100.00%0539356.99%417753.25%387153.52%12177102407640
Total5410000025169330000002151621100000411-780.8002541660059110129423750012952288724625.00%14471.43%2539356.99%417753.25%387153.52%12177102407640
_Since Last GM Reset5410000025169330000002151621100000411-780.8002541660059110129423750012952288724625.00%14471.43%2539356.99%417753.25%387153.52%12177102407640
_Vs Conference21100000411-70000000000021100000411-720.5004610005911037423750040151225600.00%6183.33%0539356.99%417753.25%387153.52%12177102407640
_Vs Division11100000211100000002110110000000021.000246005911026423750025114203133.33%2150.00%0539356.99%417753.25%387153.52%12177102407640

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
58W425416612912952288700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
54100002516
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3300000215
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2110000411
Derniers 10 Matchs
WLOTWOTL SOWSOL
410000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
24625.00%14471.43%2
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
423750059110
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
539356.99%417753.25%387153.52%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12177102407640


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
1 - 2019-10-064Barracuda0Casse-Tete9LSommaire du Match
3 - 2019-10-0813Diabotins1Barracuda2WSommaire du Match
6 - 2019-10-1121Leftovers1Barracuda3WSommaire du Match
7 - 2019-10-1229Benchwarmers3Barracuda16WSommaire du Match
10 - 2019-10-1541Barracuda4Casse-Tete2WSommaire du Match
11 - 2019-10-1644Barracuda-Diabotins-
13 - 2019-10-1849Barracuda-Leftovers-
15 - 2019-10-2058Hybrides-Barracuda-
16 - 2019-10-2164Barracuda-Requins-
18 - 2019-10-2372Benchwarmers-Barracuda-
21 - 2019-10-2682Barracuda-Hybrides-
22 - 2019-10-2785Vagabond-Barracuda-
24 - 2019-10-2993Barracuda-Vagabond-
26 - 2019-10-31101Caribou-Barracuda-
27 - 2019-11-01103Barracuda-Casse-Tete-
29 - 2019-11-03113Barracuda-Hooligans-
31 - 2019-11-05120Benchwarmers-Barracuda-
32 - 2019-11-06128Barracuda-Hybrides-
34 - 2019-11-08134Royaux-Barracuda-
36 - 2019-11-10145Diabotins-Barracuda-
37 - 2019-11-11151Barracuda-Chevalier-
41 - 2019-11-15160Barracuda-Requins-
42 - 2019-11-16166Benchwarmers-Barracuda-
43 - 2019-11-17174Diabotins-Barracuda-
45 - 2019-11-19183Barracuda-Royaux-
47 - 2019-11-21190Chevalier-Barracuda-
49 - 2019-11-23199Royaux-Barracuda-
52 - 2019-11-26212Leftovers-Barracuda-
55 - 2019-11-29221Barracuda-Benchwarmers-
56 - 2019-11-30227Requins-Barracuda-
59 - 2019-12-03237Barracuda-Leftovers-
61 - 2019-12-05243Casse-Tete-Barracuda-
62 - 2019-12-06251Barracuda-Leftovers-
64 - 2019-12-08258Casse-Tete-Barracuda-
66 - 2019-12-10267Barracuda-Hooligans-
68 - 2019-12-12274Vagabond-Barracuda-
70 - 2019-12-14283Barracuda-Caribou-
71 - 2019-12-15289Hooligans-Barracuda-
73 - 2019-12-17299Barracuda-Jardiniers-
75 - 2019-12-19303Leftovers-Barracuda-
77 - 2019-12-21311Barracuda-Hooligans-
79 - 2019-12-23317Barracuda-Casse-Tete-
80 - 2019-12-24323Hybrides-Barracuda-
82 - 2019-12-26332Caribou-Barracuda-
85 - 2019-12-29341Barracuda-Diabotins-
86 - 2019-12-30347Jardiniers-Barracuda-
88 - 2020-01-01355Barracuda-Jardiniers-
89 - 2020-01-02360Barracuda-Pirates-
91 - 2020-01-04369Jardiniers-Barracuda-
93 - 2020-01-06377Barracuda-Chevalier-
95 - 2020-01-08380Pirates-Barracuda-
96 - 2020-01-09386Barracuda-Diabotins-
98 - 2020-01-11397Chevalier-Barracuda-
101 - 2020-01-14403Barracuda-Vagabond-
103 - 2020-01-16412Benchwarmers-Barracuda-
104 - 2020-01-17418Barracuda-Royaux-
107 - 2020-01-20427Werewolves-Barracuda-
108 - 2020-01-21432Barracuda-Werewolves-
110 - 2020-01-23442Hooligans-Barracuda-
114 - 2020-01-27453Casse-Tete-Barracuda-
115 - 2020-01-28458Barracuda-Requins-
117 - 2020-01-30468Jardiniers-Barracuda-
120 - 2020-02-02478Barracuda-Vagabond-
121 - 2020-02-03484Hybrides-Barracuda-
122 - 2020-02-04492Barracuda-Hooligans-
125 - 2020-02-07498Caribou-Barracuda-
126 - 2020-02-08504Barracuda-Caribou-
129 - 2020-02-11512Barracuda-Werewolves-
130 - 2020-02-12516Requins-Barracuda-
134 - 2020-02-16528Barracuda-Diabotins-
135 - 2020-02-17533Royaux-Barracuda-
138 - 2020-02-20543Diabotins-Barracuda-
140 - 2020-02-22551Barracuda-Casse-Tete-
141 - 2020-02-23556Leftovers-Barracuda-
142 - 2020-02-24561Barracuda-Hybrides-
145 - 2020-02-27572Barracuda-Pirates-
146 - 2020-02-28579Werewolves-Barracuda-
149 - 2020-03-02588Pirates-Barracuda-
150 - 2020-03-03594Barracuda-Leftovers-
153 - 2020-03-06603Vagabond-Barracuda-
154 - 2020-03-07605Barracuda-Werewolves-
159 - 2020-03-12619Werewolves-Barracuda-
160 - 2020-03-13621Barracuda-Benchwarmers-
162 - 2020-03-15628Barracuda-Casse-Tete-



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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
199,960$ 3,259,417$ 2,501,867$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
19,996$ 199,960$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 153 19,996$ 3,059,388$




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
Saison Régulière
201684363104481458288170422214020312961361604214170245016215210724587931251311641271551528081005917855642374888129515362939030.72%3848478.13%151091169764.29%1039164563.16%824132362.28%2099142717706521225617
201684204901572275313-38421024013311541431142102500241121170-49402754527271082114711322637577557295428391091121112052474217.00%3159171.11%8669150044.60%730190538.32%489118341.34%1704109721646731227584
2017841554024542582391942112201233155112434243201221103127-24302584487061590827912206364566072564256387973415802544417.32%3536980.45%18669146645.63%774173844.53%513105748.53%1739101919897261367684
20188250230333048424024441324013102651011644118190202021913980100484854133803182161135830971118103692627274695698114482997525.08%4177582.01%291042184756.42%1014189253.59%794129461.36%1931125717666541247635
201882304301323346321254116200121117717344114230011216914821603465869322111912110342507810808851553025103751416502846021.13%2425975.62%5653153242.62%765183041.80%526120643.62%1686100519586771306666
20195410000025169330000002151621100000411-782541660059110129423750012952288724625.00%14471.43%2539356.99%417753.25%387153.52%12177102407640
Total Saison Régulière421155201011192510184614174292119484061011610686703982106111705914477874731310184631745020710642614554521286743774213413626413676490347637506140131722.63%172538277.86%774177813551.35%4363908748.01%3184613451.91%928258849751342564503228
Séries
201651400000612-6211000003303030000039-62691500041111933374811856526691500.00%8275.00%0318536.47%4512835.16%195633.93%9058139427329
201822121000000999091183000006341221147000003649-13249916426300282842180229627022016878313240278922122.83%1011882.18%326749653.83%29156151.87%18934155.43%493326544179323158
Total Séries27131400000105102313940000066442214410000003958-19261051732780028324329213293072681710633782663471072119.63%1092081.65%329858151.29%33668948.77%20839752.39%583384684222396187