Barracuda

GP: 82 | W: 33 | L: 43 | OTL: 6 | P: 72
GF: 346 | GA: 321 | PP%: 21.13% | PK%: 75.62%
DG: Dominic Joyal | Morale : 50 | Moyenne d'Équipe : 75
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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
1Alex Chiasson0X100.00594164417755816746817965715656050790
2Jimmy Hayes0X100.00814369398448816443808156695445050770
3Joshua Ho-Sang0X100.00312877323170856835856966714234050760
4Michael McCarron0X100.00935633549341876175787958644550050760
5Nikolay Goldobin0X100.00352881363556827033808366714335050760
6Nikita Scherbak0X100.00474166395361636235748367643933050740
7Tanner Richard0X100.00733458655058735635677455654740050690
8Laurent Dauphin0X100.00713652633747685950707758634137050690
9Nicolas Roy (R)0X100.00763279627049775634677155654248050690
10Vladislav Kamenev0X100.00523360645341285638687151653939050630
11Derrick Pouliot0X100.00553863436663758328847352675661050820
12Noah Juulsen (R)0X100.00833480523470797530756980633836046790
13Jon Merrill0X100.00512265507161767928797069644739050790
14Keegan Lowe (R)0X100.00694655596150736931726655645053037720
15Rinat Valiev0X100.00623759597643646931726656654239050700
Rayé
MOYENNE D'ÉQUIPE100.0063376451595473663875746166454304974
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
1Nikolay GoldobinBarracuda (SPA)LW81907916970603715036612023924.59%65182822.582213356922410189011340.20%1027058061.8502000699
2Alex ChiassonBarracuda (SPA)RW8255951504038017716234611520415.90%105196223.945232849206134182056356.20%1377246071.5325000763
3Jimmy HayesBarracuda (SPA)RW82415910073352001042547617516.14%57176821.5661117421870005482156.33%4746138031.1304010135
4Zemgus GirgensonsSpaceC/LW/RW46474592242001351122157813721.86%72114224.83615212911430391245454.91%11513342041.6115000733
5Derrick PouliotBarracuda (SPA)D822261831244015389227881119.69%123241929.50811195932401161892236.84%576162030.6901000134
6Jon MerrillBarracuda (SPA)D8114668047360126218203106946.90%194228628.22310135029001121591040.00%153398000.7000000010
7Michael McCarronBarracuda (SPA)RW8130447415131152631172608716711.54%42151318.683471797000073164.37%2618632030.9800111226
8Tanner RichardBarracuda (SPA)C8223376086801871182017710611.44%81188723.025813431940111400240.33%9108041020.6400000121
9Vladislav KamenevBarracuda (SPA)LW82134154-155209494194541046.70%35174821.3328103020500041101043.48%1617625010.6200000010
10Joshua Ho-SangBarracuda (SPA)RW8262935-171002817511848785.08%109175821.44000361000040039.34%611467010.4001000000
11Nikita ScherbakBarracuda (SPA)RW211317302912015124592528.89%531214.883251051000001033.33%21124011.9200000000
12Rinat ValievBarracuda (SPA)D81320233768020013210730572.80%123207225.590442021700032000038.46%131159000.2200000001
13Troy StecherSpaceD4161218-14160678013047504.62%6598223.95235331380114960050.00%81434000.3700000001
14Nicolas RoyBarracuda (SPA)C11461010201413166825.00%513712.4900000000000037.25%10233011.4600000000
15Travis SanheimSpaceD171671280671510106.67%1324414.37011115000111000.00%068000.5700000000
16Noah JuulsenBarracuda (SPA)D16066-220194425750.00%3230519.12011324000134000.00%0013000.3900000000
17Dominik SimonSpaceC/LW/RW1011-200184160.00%12424.1801104000020058.82%1721000.8300000000
Stats d'équipe Total ou en Moyenne96936862499226154620172216352726959157613.50%11272239323.116511518045823575712621326321649.77%34906346310320.89318121253033
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)81334260.9113.2647842126029201580220.765178101365
2Scott WedgewoodBarracuda (SPA)40000.7708.4010000146133000.0000081000
Stats d'équipe Total ou en Moyenne85334260.9083.3748842127429811613220.7651781811365


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
Laurent DauphinBarracuda (SPA)C231995-03-27No180 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm925,000$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
Nicolas RoyBarracuda (SPA)C211997-02-05Yes208 Lbs193 CMNoNoNo2Contrat d'EntréePro & Farm790,000$0$0$NoLien
Nikita ScherbakBarracuda (SPA)RW221995-12-30No192 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm1,063,333$0$0$NoLien
Nikolay GoldobinBarracuda (SPA)LW221995-10-07No185 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm1,137,500$0$0$NoLien / Lien NHL
Noah JuulsenBarracuda (SPA)D211997-04-02Yes175 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm1,063,333$0$0$NoLien
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
Vladislav KamenevBarracuda (SPA)LW221996-08-12No194 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm894,167$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1724.00198 Lbs188 CM1.531,003,657$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikolay GoldobinAlex Chiasson40122
2Vladislav KamenevTanner RichardJimmy Hayes30122
3Alex ChiassonJoshua 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 GoldobinAlex 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
1Alex 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
160122Derrick PouliotJon Merrill60122
2Alex Chiasson40122Rinat Valiev40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Alex Chiasson60122
2Jimmy HayesNikolay Goldobin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Derrick PouliotJon Merrill60122
2Rinat Valiev40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolay GoldobinAlex ChiassonDerrick PouliotJon Merrill
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolay GoldobinAlex 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
, 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
1Barbarians532000001717021100000660321000001111060.6001730470011912110341718108088515516663268410440.00%13653.85%1653153242.62%765183041.80%526120643.62%1686100519586771306666
2Benchwarmers42100100990210001004402110000055050.625916250111912110341168108088515514755187517317.65%9277.78%0653153242.62%765183041.80%526120643.62%1686100519586771306666
3Caribou413000001114-32110000067-12020000057-220.2501117280011912110341328108088515513437208314321.43%10190.00%0653153242.62%765183041.80%526120643.62%1686100519586771306666
4Casse-Tete50500000966-5730300000651-4520200000315-1200.0009152400119121103414081080885155203553510917317.65%15566.67%0653153242.62%765183041.80%526120643.62%1686100519586771306666
5Chevalier41201000871201010003302110000054140.500811190011912110341048108088515513952267811218.18%13376.92%0653153242.62%765183041.80%526120643.62%1686100519586771306666
6Diabotins4400000014772200000010552200000042281.0001424380011912110341288108088515511243269110440.00%13376.92%0653153242.62%765183041.80%526120643.62%1686100519586771306666
7Evil Saints404000001222-1020200000611-520200000611-500.000122032001191211034131810808851551846330656116.67%15380.00%0653153242.62%765183041.80%526120643.62%1686100519586771306666
8Giants40400000517-122020000029-72020000038-500.0005813001191211034133810808851551704322741715.88%11281.82%0653153242.62%765183041.80%526120643.62%1686100519586771306666
9Hooligans421000011213-12110000068-22100000165150.6251220320011912110341488108088515516539228214214.29%11463.64%1653153242.62%765183041.80%526120643.62%1686100519586771306666
10Hybrides5410000016115321000009722200000074380.80016284410119121103412681080885155186623410417529.41%17382.35%1653153242.62%765183041.80%526120643.62%1686100519586771306666
11Jardiniers41300000620-142110000029-720200000411-720.250612180011912110341138108088515514848317222418.18%13376.92%0653153242.62%765183041.80%526120643.62%1686100519586771306666
12Leftovers412001001517-221100000111102010010046-230.3751528430011912110341058108088515516462259024833.33%9366.67%0653153242.62%765183041.80%526120643.62%1686100519586771306666
13Pirates4210000115141211000007612100000188050.625152439001191211034111810808851551374620967228.57%10550.00%1653153242.62%765183041.80%526120643.62%1686100519586771306666
14Remparts4400000014941452200000074272220000007527381.000149248397001191211034170810808851558035268811100.00%13192.31%1653153242.62%765183041.80%526120643.62%1686100519586771306666
15Requins51400000930-212110000056-130300000424-2020.20091625001191211034135810808851551926124982328.70%12650.00%0653153242.62%765183041.80%526120643.62%1686100519586771306666
16Royaux41300000811-3211000005412020000037-420.25081523001191211034998108088515517754427417317.65%22386.36%0653153242.62%765183041.80%526120643.62%1686100519586771306666
17St Johns420000201064210000104222100001064281.0001015250011912110341488108088515516468337113323.08%90100.00%0653153242.62%765183041.80%526120643.62%1686100519586771306666
Total82304301323346321254116200121117717344114230011216914821720.4393465869322111912110342507810808851553025103751416502846021.13%2425975.62%5653153242.62%765183041.80%526120643.62%1686100519586771306666
19Werewolves513001001317-420100100710-33120000067-130.30013243700119121103413581080885155191912011124729.17%10280.00%0653153242.62%765183041.80%526120643.62%1686100519586771306666
20Zombie50400001819-1130200001412-82020000047-310.1008152310119121103416281080885155166603410520210.00%17476.47%0653153242.62%765183041.80%526120643.62%1686100519586771306666
_Since Last GM Reset82304301323346321254116200121117717344114230011216914821720.4393465869322111912110342507810808851553025103751416502846021.13%2425975.62%5653153242.62%765183041.80%526120643.62%1686100519586771306666
_Vs Conference41112701101102184-82215130110152111-5920614000005073-23260.31710217527720119121103412008108088515515465372678131363022.06%1323077.27%2653153242.62%765183041.80%526120643.62%1686100519586771306666
_Vs Division24414001016871-31217001013640-412370000032311100.2086812118920119121103472281080885155821319140495812227.16%701874.29%2653153242.62%765183041.80%526120643.62%1686100519586771306666

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8272W4346586932250730251037514165021
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8230431323346321
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116201211177173
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4114230112169148
Derniers 10 Matchs
WLOTWOTL SOWSOL
540100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2846021.13%2425975.62%5
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
810808851551191211034
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
653153242.62%765183041.80%526120643.62%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1686100519586771306666


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 - 2018-12-10360Leftovers4Barracuda5WSommaire du Match
73 - 2018-12-12372Barracuda5Pirates4WSommaire du Match
74 - 2018-12-13379Royaux2Barracuda4WSommaire du Match
78 - 2018-12-17392Barracuda1Requins4LSommaire du Match
80 - 2018-12-19400Requins2Barracuda3WSommaire du Match
82 - 2018-12-21413Barracuda3Zombie4LSommaire du Match
84 - 2018-12-23420Zombie3Barracuda2LXXSommaire du Match
85 - 2018-12-24431Barracuda4Hybrides2WSommaire du Match
87 - 2018-12-26439Pirates3Barracuda5WSommaire du Match
90 - 2018-12-29455Barbarians1Barracuda4WSommaire du Match
92 - 2018-12-31465Barracuda1Royaux3LSommaire du Match
93 - 2019-01-01474Jardiniers1Barracuda2WSommaire du Match
94 - 2019-01-02481Barracuda2Barbarians1WSommaire du Match
96 - 2019-01-04493Barracuda2Benchwarmers3LSommaire du Match
98 - 2019-01-06500Giants6Barracuda1LSommaire du Match
101 - 2019-01-09515Barracuda1Werewolves2LSommaire du Match
102 - 2019-01-10521Requins4Barracuda2LSommaire du Match
103 - 2019-01-11533Barracuda2Werewolves1WSommaire du Match
105 - 2019-01-13539Hybrides2Barracuda5WSommaire du Match
108 - 2019-01-16554Jardiniers8Barracuda0LSommaire du Match
110 - 2019-01-18565Barracuda2Royaux4LSommaire du Match
111 - 2019-01-19575Leftovers7Barracuda6LSommaire du Match
113 - 2019-01-21584Barracuda1Giants4LSommaire du Match
116 - 2019-01-24595Hooligans3Barracuda5WSommaire du Match
118 - 2019-01-26605Barracuda2Giants4LSommaire du Match
119 - 2019-01-27610Barracuda2Jardiniers4LSommaire du Match
120 - 2019-01-28619Evil Saints5Barracuda3LSommaire du Match
123 - 2019-01-31634Evil Saints6Barracuda3LSommaire du Match
125 - 2019-02-02647Barracuda1Casse-Tete9LSommaire du Match
126 - 2019-02-03655Casse-Tete5Barracuda1LSommaire du Match
129 - 2019-02-06666Barracuda3Hybrides2WSommaire du Match
130 - 2019-02-07671Barracuda2Casse-Tete6LSommaire du Match
132 - 2019-02-09679Caribou4Barracuda5WSommaire du Match
134 - 2019-02-11692Barracuda2Requins11LSommaire du Match
135 - 2019-02-12698Hybrides2Barracuda3WSommaire du Match
140 - 2019-02-17717St Johns1Barracuda2WSommaire du Match
142 - 2019-02-19725Barracuda2Jardiniers7LSommaire du Match
144 - 2019-02-21736Caribou3Barracuda1LSommaire du Match
147 - 2019-02-24752Casse-Tete4Barracuda2LSommaire du Match
150 - 2019-02-27765Barracuda3Leftovers4LXSommaire du Match
152 - 2019-03-01772Hooligans5Barracuda1LSommaire du Match
154 - 2019-03-03784Remparts1Barracuda37WSommaire du Match
157 - 2019-03-06800Barracuda2Diabotins1WSommaire du Match
160 - 2019-03-09809Remparts1Barracuda37WSommaire du Match
161 - 2019-03-10817Barracuda3Benchwarmers2WSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,642,908$ 1,706,216$ 1,055,250$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
10,532$ 1,642,908$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 10,532$ 0$




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
201882304301323346321254116200121117717344114230011216914821723465869322111912110342507810808851553025103751416502846021.13%2425975.62%5653153242.62%765183041.80%526120643.62%1686100519586771306666
Total Saison Régulière82304301323346321254116200121117717344114230011216914821723465869322111912110342507810808851553025103751416502846021.13%2425975.62%5653153242.62%765183041.80%526120643.62%1686100519586771306666