beholdershellpepitosKingspatriots

 

 


Barracuda

GP: 37 | W: 13 | L: 20 | OTL: 4 | P: 30
GF: 161 | GA: 156 | PP%: 21.49% | PK%: 78.51%
DG: | Morale : 50 | Moyenne d'Équipe : 77
Prochain matchs #360 vs Leftovers
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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
1Zemgus Girgensons0XXX100.00823772436963666664808271735048050800
2Alex Chiasson0X100.00594164417755816746817965715656050790
3Jimmy Hayes0X100.00814369398448816443808156695445050770
4Joshua Ho-Sang0X100.00312877323170856835856966714234050760
5Michael McCarron0X100.00935633549341876175787958644550050760
6Nikolay Goldobin0X100.00352881363556827033808366714335050760
7Tanner Richard0X100.00733458655058735635677455654740050690
8Vladislav Kamenev0X100.00523360645341285638687151653939050630
9Derrick Pouliot0X100.00553863436663758328847352675661050820
10Travis Sanheim (R)0X100.00433264464156868429827263634239050790
11Jon Merrill0X100.00512265507161767928797069644739050790
12Keegan Lowe (R)0X100.00694655596150736931726655645053037720
13Rinat Valiev0X100.00623759597643646931726656654239050700
Rayé
MOYENNE D'ÉQUIPE100.0060376349625474694078746067474404975
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
1Michael Hutchinson100.0083836880848689868884736171046860
2Scott Wedgewood100.0084927378858789868961694654050840
Rayé
MOYENNE D'ÉQUIPE100.008488717985878986897371546304885
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
1Zemgus GirgensonsBarracuda (SPA)C/LW/RW3739387718180110891776610922.03%5792425.0041317278730371094355.44%9292935031.6614000632
2Nikolay GoldobinBarracuda (SPA)LW3636347036207641534910423.53%2782722.981061630910004524238.00%503819031.6901000135
3Alex ChiassonBarracuda (SPA)RW3714506418140576614352849.79%3589924.31210121987033101081058.23%793025021.4224000132
4Jimmy HayesBarracuda (SPA)RW372127482809652112337618.75%2281922.1435815810004291057.61%2432214011.1703000115
5Michael McCarronBarracuda (SPA)RW361422361550011348120406511.67%1669019.17000639000040069.29%1273513021.0400000111
6Derrick PouliotBarracuda (SPA)D3710253521300514386365111.63%55109729.67336221410113970133.33%182720020.6400000111
7Jon MerrillBarracuda (SPA)D367212831160371047636469.21%67102228.39123181200111830040.00%51144000.5500000010
8Vladislav KamenevBarracuda (SPA)LW3752227-1622034448627505.81%1080321.7224613870004571049.52%1053012000.6700000000
9Tanner RichardBarracuda (SPA)C3771623-730068559036417.78%3887123.5413419900001360141.63%4183218010.5300000000
10Joshua Ho-SangBarracuda (SPA)RW3741216-238012834819328.33%4879921.60000232000040032.61%46630010.4000000000
11Travis SanheimBarracuda (SPA)D171671280671510106.67%1324414.37011115000111000.00%068000.5700000000
12Rinat ValievBarracuda (SPA)D362572042067584516194.44%5292525.7002268900021000025.00%8521000.1500000000
13Dominik SimonSpaceC/LW/RW1011-200184160.00%12424.1801104000020058.82%1721000.8300000000
Stats d'équipe Total ou en Moyenne4211602794391252480659721115542169313.85%441994823.632650761789683583769711752.27%20452732600150.88312000111316
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
1Michael HutchinsonBarracuda (SPA)36131940.9152.952154211061241661120.75012360522
2Scott WedgewoodBarracuda (SPA)10000.7659.60250041710000.0000036000
Stats d'équipe Total ou en Moyenne37131940.9133.032179211101258671120.750123636522


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
Alex ChiassonBarracuda (SPA)RW271990-10-01No208 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Derrick PouliotBarracuda (SPA)D241994-01-16No208 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,288,000$0$0$NoLien / Lien NHL
Jimmy HayesBarracuda (SPA)RW281989-11-21No215 Lbs196 CMNoNoNo1Avec RestrictionPro & Farm2,300,000$0$0$NoLien / Lien NHL
Jon MerrillBarracuda (SPA)D261992-02-03No205 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm1,137,500$0$0$NoLien / Lien NHL
Joshua Ho-SangBarracuda (SPA)RW221996-01-22No173 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm1,075,833$0$0$NoLien / Lien NHL
Keegan LoweBarracuda (SPA)D251993-03-29Yes193 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Michael HutchinsonBarracuda (SPA)G281990-03-02No202 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Michael McCarronBarracuda (SPA)RW231995-03-07No230 Lbs198 CMNoNoNo2Avec RestrictionPro & Farm1,137,500$0$0$NoLien
Nikolay GoldobinBarracuda (SPA)LW221995-10-07No185 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm1,137,500$0$0$NoLien / Lien NHL
Rinat ValievBarracuda (SPA)D231995-05-11No215 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Scott WedgewoodBarracuda (SPA)G261992-08-14No195 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Tanner RichardBarracuda (SPA)C251993-04-06No192 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm575,000$0$0$NoLien
Travis SanheimBarracuda (SPA)D221996-03-29Yes181 Lbs191 CMNoNoNo2Contrat d'EntréePro & Farm1,263,333$0$0$NoLien
Vladislav KamenevBarracuda (SPA)LW221996-08-12No194 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm894,167$0$0$NoLien / Lien NHL
Zemgus GirgensonsBarracuda (SPA)C/LW/RW241994-01-05No207 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm1,600,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1524.47200 Lbs188 CM1.531,072,256$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikolay GoldobinZemgus GirgensonsAlex Chiasson40122
2Vladislav KamenevTanner RichardJimmy Hayes30122
3Alex ChiassonZemgus GirgensonsJoshua Ho-Sang20122
4Nikolay GoldobinJimmy HayesMichael McCarron10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Derrick PouliotJon Merrill40122
2Rinat ValievDerrick Pouliot30122
3Jon MerrillRinat Valiev20122
4Joshua Ho-SangTanner Richard10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikolay GoldobinZemgus GirgensonsAlex Chiasson60122
2Vladislav KamenevTanner RichardJimmy Hayes40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Derrick PouliotJon Merrill60122
2Rinat ValievDerrick Pouliot40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Zemgus GirgensonsAlex Chiasson60122
2Jimmy HayesNikolay Goldobin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Derrick PouliotJon Merrill60122
2Rinat Valiev40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Zemgus Girgensons60122Derrick PouliotJon Merrill60122
2Alex Chiasson40122Rinat Valiev40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Zemgus GirgensonsAlex Chiasson60122
2Jimmy HayesNikolay Goldobin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Derrick PouliotJon Merrill60122
2Rinat Valiev40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolay GoldobinZemgus GirgensonsAlex ChiassonDerrick PouliotJon Merrill
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolay GoldobinZemgus GirgensonsAlex ChiassonDerrick PouliotJon Merrill
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael McCarron, Joshua Ho-Sang, Vladislav KamenevMichael McCarron, Joshua Ho-SangVladislav Kamenev
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jon Merrill, Rinat Valiev, Derrick PouliotJon MerrillRinat Valiev, Derrick Pouliot
Tirs de Pénalité
Zemgus Girgensons, Alex Chiasson, Jimmy Hayes, Nikolay Goldobin, Joshua Ho-Sang
Gardien
#1 : Michael Hutchinson, #2 : Scott Wedgewood


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
1Barbarians312000001115-41010000025-321100000910-120.33311193000555350410136036039047952720557228.57%10550.00%135269850.43%41980951.79%29757351.83%779466861309605307
2Benchwarmers21000100440210001004400000000000030.75048120155535046136036039047682210358112.50%50100.00%035269850.43%41980951.79%29757351.83%779466861309605307
3Caribou2020000057-2000000000002020000057-200.00059140055535046636036039047702510399111.11%50100.00%035269850.43%41980951.79%29757351.83%779466861309605307
4Casse-Tete10100000342-3910100000342-390000000000000.00034700555350432360360390474228143133.33%4175.00%035269850.43%41980951.79%29757351.83%779466861309605307
5Chevalier41201000871201010003302110000054140.500811190055535041043603603904713952267811218.18%13376.92%035269850.43%41980951.79%29757351.83%779466861309605307
6Diabotins3300000012662200000010551100000021161.00012213300555350410236036039047813124588337.50%12375.00%035269850.43%41980951.79%29757351.83%779466861309605307
7Evil Saints20200000611-50000000000020200000611-500.000611170055535046336036039047843216295120.00%8275.00%035269850.43%41980951.79%29757351.83%779466861309605307
8Giants1010000013-21010000013-20000000000000.00011200555350427360360390474891016300.00%5180.00%035269850.43%41980951.79%29757351.83%779466861309605307
9Hooligans21000001651000000000002100000165130.750610160055535047336036039047812163610220.00%3166.67%035269850.43%41980951.79%29757351.83%779466861309605307
10Hybrides1010000013-21010000013-20000000000000.000123105553504223603603904735158122150.00%4175.00%035269850.43%41980951.79%29757351.83%779466861309605307
11Leftovers1010000012-1000000000001010000012-100.00012300555350417360360390474174256116.67%10100.00%035269850.43%41980951.79%29757351.83%779466861309605307
12Pirates2010000157-21010000023-11000000134-110.2505712005553504503603603904774261643200.00%8362.50%135269850.43%41980951.79%29757351.83%779466861309605307
13Remparts220000007527300000000000220000007527341.0007512620100555350488360360390473914123711100.00%60100.00%135269850.43%41980951.79%29757351.83%779466861309605307
14Requins1010000019-8000000000001010000019-800.00012300555350422360360390473988195120.00%4250.00%035269850.43%41980951.79%29757351.83%779466861309605307
15Royaux1010000012-11010000012-10000000000000.000123005553504323603603904738121418500.00%7185.71%035269850.43%41980951.79%29757351.83%779466861309605307
16St Johns31000020853100000102112100001064261.00081220005553504109360360390471264616489222.22%80100.00%035269850.43%41980951.79%29757351.83%779466861309605307
Total37102001222161156517310012103890-5220710000121236657300.40516127243321555350411453603603904713024442446751212621.49%1212678.51%335269850.43%41980951.79%29757351.83%779466861309605307
18Werewolves302001001014-420100100710-31010000034-110.167101929005553504873603603904711057125716637.50%6183.33%035269850.43%41980951.79%29757351.83%779466861309605307
19Zombie30300000312-92020000029-71010000013-200.0003691055535048936036039047923824561119.09%12283.33%035269850.43%41980951.79%29757351.83%779466861309605307
_Since Last GM Reset37102001222161156517310012103890-5220710000121236657300.40516127243321555350411453603603904713024442446751212621.49%1212678.51%335269850.43%41980951.79%29757351.83%779466861309605307
_Vs Conference202160110048113-651008011001974-551028000002939-1070.175488313120555350459636036039047705260138358691521.74%691676.81%135269850.43%41980951.79%29757351.83%779466861309605307
_Vs Division1318001003750-13805001002232-10513000001518-330.11537671042055535044013603603904741316888238441329.55%441272.73%135269850.43%41980951.79%29757351.83%779466861309605307

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3730W11612724331145130244424467521
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3710201222161156
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1731012103890
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
20710001212366
Derniers 10 Matchs
WLOTWOTL SOWSOL
270001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1212621.49%1212678.51%3
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
360360390475553504
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
35269850.43%41980951.79%29757351.83%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
779466861309605307


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
2 - 2018-10-025Casse-Tete42Barracuda3LSommaire du Match
4 - 2018-10-0421Hybrides3Barracuda1LSommaire du Match
6 - 2018-10-0626Barracuda3Werewolves4LSommaire du Match
8 - 2018-10-0837Barracuda1Requins9LSommaire du Match
9 - 2018-10-0942Barracuda3Barbarians5LSommaire du Match
11 - 2018-10-1154Barracuda1Hooligans2LXXSommaire du Match
13 - 2018-10-1359Zombie5Barracuda1LSommaire du Match
15 - 2018-10-1571Benchwarmers0Barracuda1WSommaire du Match
17 - 2018-10-1783Barracuda2Diabotins1WSommaire du Match
19 - 2018-10-1992Diabotins3Barracuda5WSommaire du Match
20 - 2018-10-2098Barracuda4Chevalier1WSommaire du Match
22 - 2018-10-22106Barracuda6Barbarians5WSommaire du Match
23 - 2018-10-23117Chevalier1Barracuda2WXSommaire du Match
25 - 2018-10-25129Barracuda1Zombie3LSommaire du Match
27 - 2018-10-27137Giants3Barracuda1LSommaire du Match
30 - 2018-10-30150Barracuda1Leftovers2LSommaire du Match
31 - 2018-10-31157Pirates3Barracuda2LSommaire du Match
33 - 2018-11-02168Barracuda5Evil Saints6LSommaire du Match
34 - 2018-11-03177Diabotins2Barracuda5WSommaire du Match
36 - 2018-11-05186Barracuda5Hooligans3WSommaire du Match
39 - 2018-11-08197Barracuda2St Johns1WXXSommaire du Match
40 - 2018-11-09200Barbarians5Barracuda2LSommaire du Match
42 - 2018-11-11215Benchwarmers4Barracuda3LXSommaire du Match
45 - 2018-11-14226Barracuda1Evil Saints5LSommaire du Match
47 - 2018-11-16234Barracuda38Remparts1WSommaire du Match
48 - 2018-11-17240Werewolves5Barracuda4LXSommaire du Match
51 - 2018-11-20256Barracuda4St Johns3WSommaire du Match
52 - 2018-11-21260Werewolves5Barracuda3LSommaire du Match
54 - 2018-11-23274Royaux2Barracuda1LSommaire du Match
56 - 2018-11-25286Barracuda3Caribou4LSommaire du Match
58 - 2018-11-27293Barracuda3Pirates4LXXSommaire du Match
59 - 2018-11-28300Zombie4Barracuda1LSommaire du Match
61 - 2018-11-30313Barracuda1Chevalier3LSommaire du Match
63 - 2018-12-02320Chevalier2Barracuda1LSommaire du Match
66 - 2018-12-05333St Johns1Barracuda2WXXSommaire du Match
68 - 2018-12-07344Barracuda2Caribou3LSommaire du Match
69 - 2018-12-08353Barracuda37Remparts1WSommaire du Match
71 - 2018-12-10360Leftovers-Barracuda-
73 - 2018-12-12372Barracuda-Pirates-
74 - 2018-12-13379Royaux-Barracuda-
78 - 2018-12-17392Barracuda-Requins-
80 - 2018-12-19400Requins-Barracuda-
82 - 2018-12-21413Barracuda-Zombie-
84 - 2018-12-23420Zombie-Barracuda-
85 - 2018-12-24431Barracuda-Hybrides-
87 - 2018-12-26439Pirates-Barracuda-
90 - 2018-12-29455Barbarians-Barracuda-
92 - 2018-12-31465Barracuda-Royaux-
93 - 2019-01-01474Jardiniers-Barracuda-
94 - 2019-01-02481Barracuda-Barbarians-
96 - 2019-01-04493Barracuda-Benchwarmers-
98 - 2019-01-06500Giants-Barracuda-
101 - 2019-01-09515Barracuda-Werewolves-
102 - 2019-01-10521Requins-Barracuda-
103 - 2019-01-11533Barracuda-Werewolves-
105 - 2019-01-13539Hybrides-Barracuda-
108 - 2019-01-16554Jardiniers-Barracuda-
110 - 2019-01-18565Barracuda-Royaux-
111 - 2019-01-19575Leftovers-Barracuda-
113 - 2019-01-21584Barracuda-Giants-
116 - 2019-01-24595Hooligans-Barracuda-
118 - 2019-01-26605Barracuda-Giants-
119 - 2019-01-27610Barracuda-Jardiniers-
120 - 2019-01-28619Evil Saints-Barracuda-
123 - 2019-01-31634Evil Saints-Barracuda-
125 - 2019-02-02647Barracuda-Casse-Tete-
126 - 2019-02-03655Casse-Tete-Barracuda-
129 - 2019-02-06666Barracuda-Hybrides-
130 - 2019-02-07671Barracuda-Casse-Tete-
132 - 2019-02-09679Caribou-Barracuda-
134 - 2019-02-11692Barracuda-Requins-
135 - 2019-02-12698Hybrides-Barracuda-
140 - 2019-02-17717St Johns-Barracuda-
142 - 2019-02-19725Barracuda-Jardiniers-
144 - 2019-02-21736Caribou-Barracuda-
147 - 2019-02-24752Casse-Tete-Barracuda-
150 - 2019-02-27765Barracuda-Leftovers-
152 - 2019-03-01772Hooligans-Barracuda-
154 - 2019-03-03784Remparts-Barracuda-
157 - 2019-03-06800Barracuda-Diabotins-
160 - 2019-03-09809Remparts-Barracuda-
161 - 2019-03-10817Barracuda-Benchwarmers-



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
662,690$ 1,608,383$ 995,831$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
9,928$ 662,690$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 92 9,928$ 913,376$




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
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
201784224904252187286-9942142301130107131-24428260312280155-75441873155023247805115211260375372757269895035016803195115.99%1764276.14%2627144943.27%629161139.04%414103440.04%164496321097081334658
201837102001222161156517310012103890-52207100001212366573016127243321555350411453603603904713024442446751212621.49%1212678.51%335269850.43%41980951.79%29757351.83%779466861309605307
Total Saison Régulière2896717208131910881994-1131433879048104454476-22146299304596427518-911448811487236878274329251447583236525282571222940233642539514094116317.32%96522876.37%312317511345.32%2552606342.09%1713384744.53%586735467124241845352234
Séries
201651400000612-6211000003303030000039-62691500041111933374811856526691500.00%8275.00%0318536.47%4512835.16%195633.93%9058139427329
201640400000426-222020000028-620200000218-1604711001210933135270172392270800.00%11190.91%0106714.93%159216.30%95316.98%6341127284819
201740400000822-142020000058-320200000314-11081321001520100353232114358186615320.00%9455.56%0447657.89%418846.59%205834.48%7343108336029
Total Séries13112000001860-42615000001019-970700000841-3321829470021141312991041072500162662053837.89%28775.00%08522837.28%10130832.79%4816728.74%22714337610518377