hellpepitosKingspatriots

 

 


Barracuda

GP: 36 | W: 21 | L: 13 | OTL: 2 | P: 44
GF: 140 | GA: 103 | PP%: 27.97% | PK%: 81.25%
DG: Dominic Joyal | Morale : 50 | Moyenne d'Équipe : 69
Prochain matchs #283 vs Caribou
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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
2Travis Konecny0X100.00602958293970787837828565754557050730
3Nikolay Goldobin0X100.00381767325667807349818255744737050710
4Barclay Goodrow0X100.00803244478051726479768067725870050680
5Devante Smith-Pelly0XX100.00823063478152746446757965756351050670
6Tyler Pitlick0X100.00802466436961526937768170644742050670
7Tyler Ennis0XX100.00692473353449597438788251876956050670
8Teddy Blueger (R)0X100.00792460465250816648738071674546050650
9Joey Anderson (R)0X100.00692471495059656350747969673339050650
10Brett Seney0X100.00712842442547856765778150663342050640
11Nick Jensen0X100.00583070476367928028837569755651050730
12Derrick Pouliot0X100.00643163446263768128837648715554050720
13Samuel Girard0X100.00532579432969808378857653644141050710
14Connor Murphy0X100.00823156478166708226827567575253050710
15Slater Koekkoek0X100.00812855466252898229817646654757050700
16Jon Merrill0X100.00641252457563778027826949595134050680
Rayé
1Max Comtois (R)0X100.00523376576968825931687769683446050650
2Curtis Lazar0XX100.00823161506744766148767850625363050650
3Nikita Scherbak0X100.00472470515956676058677757673940050630
4Cory Conacher0XXX100.00512949524644916133687853736056050620
5Kerby Rychel0X100.00414281668046845631657265665360050620
6Blake Lizotte0X100.00262282683051845631647070683043050560
7Connor Clifton0X100.00832946474356808030807533674048050680
8Andreas Borgman0X100.00832661526250857530767444664142050660
MOYENNE D'ÉQUIPE100.0065276347575777704276785969484905067
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 Bow100.0080898077818087839351605461050780
3Brandon Halverson100.0079917977817885827650604858050740
MOYENNE D'ÉQUIPE100.008386827883858785886368516505079
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'ÉquipePOSGP 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
1Vladislav NamestnikovBarracuda (ICE)C/LW/RW352434581536078130142629316.90%4988925.40614203110711291183058.52%7162519011.3012000260
2Travis KonecnyBarracuda (ICE)LW35232851153206255139678216.55%2677522.175101516850110254040.74%542911021.3112000522
3Barclay GoodrowBarracuda (ICE)RW35202444942011070129476515.50%3271420.42712193211621310622168.49%733011211.2300000421
4Tyler EnnisBarracuda (ICE)C/LW351525401460352582344818.29%557216.3659142089000005242.93%573164001.4000000212
5Nick JensenBarracuda (ICE)D35112334162002910189334212.36%95104929.996612231121019138300.00%01742000.6511000213
6Devante Smith-PellyBarracuda (ICE)LW/RW3510223216120774982174512.20%2359517.034592691000001056.52%461911011.0700000112
7Samuel GirardBarracuda (ICE)D35818261880174664242812.50%2892426.4234711103011590010.00%01620000.5600000012
8Connor MurphyBarracuda (ICE)D35219211255592887330292.74%7683924.00134161020113100000.00%01233000.5000000111
9Derrick PouliotBarracuda (ICE)D35514191228049295522219.09%2793226.6333616114033511800100.00%12512000.4100000200
10Brett SeneyBarracuda (ICE)C3561117212062226820438.82%1542812.23011210000001157.71%201123000.7900000010
11Joey AndersonBarracuda (ICE)C355111694049595525409.09%2150914.550113220000342048.00%3001416000.6300000000
12Nikolay GoldobinBarracuda (ICE)LW356511714061347161612.77%43449.84000001012270152.94%1741000.6400000000
13Slater KoekkoekBarracuda (ICE)D3515662606221281593.57%1047813.6601115000320000.00%095000.2500000000
Stats d'équipe Total ou en Moyenne4551362393751512955728708105341256112.92%411905419.90406910919796158134673621652.15%1981228188250.8335000191613
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)35201220.9282.45207802851179604330.3336350444
2Al MontoyaBarracuda (ICE)11000.7507.7431004167000.0000035000
Stats d'équipe Total ou en Moyenne36211220.9262.53211002891195611330.33363535444


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 Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Al MontoyaBarracuda (ICE)G341985-02-13No200 Lbs188 CMNoNoNo1Pro & Farm650,000$378,834$0$0$NoLien / Lien NHL
Andreas BorgmanBarracuda (ICE)D241995-06-18No199 Lbs183 CMNoNoNo1Pro & Farm1,775,000$1,034,509$0$0$NoLien
Barclay GoodrowBarracuda (ICE)RW261993-02-26No215 Lbs188 CMNoNoNo2Pro & Farm650,000$378,834$0$0$No650,000$Lien / Lien NHL
Blake LizotteBarracuda (ICE)LW211997-12-13No172 Lbs170 CMNoNoNo2Pro & Farm1,491,667$869,376$0$0$No1,491,667$Lien
Brandon HalversonBarracuda (ICE)G231996-03-29No210 Lbs193 CMNoNoNo1Pro & Farm894,167$521,140$0$0$NoLien
Brett SeneyBarracuda (ICE)C231996-02-28No156 Lbs175 CMNoNoNo2Pro & Farm825,000$480,828$0$0$No825,000$Lien
Connor CliftonBarracuda (ICE)D241995-04-28No175 Lbs180 CMNoNoNo2Pro & Farm735,000$428,374$0$0$No735,000$Lien
Connor MurphyBarracuda (ICE)D261993-03-26No212 Lbs193 CMNoNoNo2Pro & Farm3,850,000$2,243,865$0$0$No3,850,000$Lien / Lien NHL
Cory ConacherBarracuda (ICE)C/LW/RW291989-12-14No180 Lbs173 CMNoNoNo2Pro & Farm780,000$454,601$0$0$No780,000$Lien
Curtis LazarBarracuda (ICE)C/RW241995-02-02No205 Lbs183 CMNoNoNo1Pro & Farm950,000$553,680$0$0$NoLien / Lien NHL
Derrick PouliotBarracuda (ICE)D251994-01-16No196 Lbs183 CMNoNoNo2Pro & Farm1,100,000$641,104$0$0$No1,100,000$Lien / Lien NHL
Devante Smith-PellyBarracuda (ICE)LW/RW271992-06-14No223 Lbs183 CMNoNoNo1Pro & Farm1,300,000$757,668$0$0$NoLien / Lien NHL
Joey AndersonBarracuda (ICE)C211998-06-19Yes190 Lbs180 CMNoNoNo2Pro & Farm925,000$539,110$0$0$No925,000$Lien
Jon MerrillBarracuda (ICE)D271992-02-03No205 Lbs191 CMNoNoNo1Pro & Farm1,137,500$662,960$0$0$NoLien / Lien NHL
Kerby RychelBarracuda (ICE)LW241994-10-07No213 Lbs185 CMNoNoNo2Pro & Farm725,000$422,546$0$0$No725,000$Lien
Landon BowBarracuda (ICE)G241995-08-24No210 Lbs196 CMNoNoNo2Pro & Farm697,500$406,518$0$0$No697,500$Lien
Malcolm SubbanBarracuda (ICE)G251993-12-21No200 Lbs188 CMNoNoNo1Pro & Farm650,000$378,834$0$0$NoLien
Max ComtoisBarracuda (ICE)LW201999-01-08Yes207 Lbs188 CMNoNoNo2Pro & Farm925,000$539,110$0$0$No925,000$Lien
Nick JensenBarracuda (ICE)D291990-09-21No194 Lbs183 CMNoNoNo2Pro & Farm1,080,000$629,447$0$0$No1,080,000$Lien / Lien NHL
Nikita ScherbakBarracuda (ICE)RW231995-12-30No192 Lbs188 CMNoNoNo2Pro & Farm1,063,333$619,733$0$0$No1,063,333$Lien
Nikolay GoldobinBarracuda (ICE)LW231995-10-07No196 Lbs180 CMNoNoNo1Pro & Farm1,137,500$662,960$0$0$NoLien / Lien NHL
Samuel GirardBarracuda (ICE)D211998-05-12No162 Lbs178 CMNoNoNo1Pro & Farm925,000$539,110$0$0$NoLien
Scott WedgewoodBarracuda (ICE)G271992-08-14No195 Lbs188 CMNoNoNo2Pro & Farm700,000$407,975$0$0$No700,000$Lien
Slater KoekkoekBarracuda (ICE)D251994-02-18No193 Lbs188 CMNoNoNo1Pro & Farm865,000$504,141$0$0$NoLien / Lien NHL
Teddy BluegerBarracuda (ICE)C251994-08-15Yes185 Lbs183 CMNoNoNo2Pro & Farm650,000$378,834$0$0$No650,000$Lien
Travis KonecnyBarracuda (ICE)LW221997-03-11No175 Lbs178 CMNoNoNo2Pro & Farm1,106,667$644,989$0$0$No1,106,667$Lien / Lien NHL
Tyler EnnisBarracuda (ICE)C/LW291989-10-06No161 Lbs175 CMNoNoNo2Pro & Farm780,000$454,601$0$0$No780,000$Lien / Lien NHL
Tyler PitlickBarracuda (ICE)RW271991-11-01No200 Lbs188 CMNoNoNo2Pro & Farm1,000,000$582,822$0$0$No1,000,000$Lien / Lien NHL
Vladislav NamestnikovBarracuda (ICE)C/LW/RW261992-11-22No184 Lbs183 CMNoNoNo1Pro & Farm1,937,500$1,129,217$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2924.97193 Lbs183 CM1.621,079,512$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Vladislav NamestnikovBarclay Goodrow40122
2Travis KonecnyTyler EnnisDevante Smith-Pelly30122
3Nikolay GoldobinJoey AndersonVladislav Namestnikov20122
4Brett 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
1Vladislav 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 Namestnikov60122
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
240122Samuel GirardConnor Murphy40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Vladislav Namestnikov60122
2Travis KonecnyNikolay Goldobin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick JensenDerrick Pouliot60122
2Samuel GirardConnor Murphy40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Vladislav NamestnikovBarclay GoodrowNick JensenDerrick Pouliot
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Vladislav 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, , 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
1Benchwarmers54000001421527430000013510251100000075290.9004273115003841585166328358376181825336105271244.44%18761.11%238175550.46%42582551.52%25448052.92%793492839292540273
2Caribou1010000012-11010000012-10000000000000.000123003841585283283583761829128216116.67%40100.00%038175550.46%42582551.52%25448052.92%793492839292540273
3Casse-Tete51400000922-132020000026-431200000716-920.200916252038415851353283583761815365328215213.33%16475.00%038175550.46%42582551.52%25448052.92%793492839292540273
4Chevalier2020000036-31010000013-21010000023-100.0003691038415856232835837618702927333133.33%7185.71%038175550.46%42582551.52%25448052.92%793492839292540273
5Diabotins430010002031733000000171161000100032181.00020345402384158512732835837618922922887228.57%11190.91%138175550.46%42582551.52%25448052.92%793492839292540273
6Hooligans2020000048-4000000000002020000048-400.0004812003841585583283583761886282249400.00%11281.82%038175550.46%42582551.52%25448052.92%793492839292540273
7Hybrides32100000972110000004222110000055040.66791221003841585903283583761810228287313323.08%14378.57%138175550.46%42582551.52%25448052.92%793492839292540273
8Leftovers5210100121201210010001310331100001810-270.700213556003841585152328358376181766940104321134.38%20480.00%038175550.46%42582551.52%25448052.92%793492839292540273
9Requins32001000954110000003122100100064261.0009172600384158593328358376189740286212325.00%14192.86%038175550.46%42582551.52%25448052.92%793492839292540273
10Royaux330000001376220000007431100000063361.000132336003841585853283583761811628325110330.00%16287.50%138175550.46%42582551.52%25448052.92%793492839292540273
Total361813030021401033719125010018842461768020015261-9440.61114024338332384158510743283583761812094153017381434027.97%1442781.25%638175550.46%42582551.52%25448052.92%793492839292540273
12Vagabond31200000981211000005321010000045-120.33391726003841585783283583761810634267014214.29%13284.62%138175550.46%42582551.52%25448052.92%793492839292540273
_Since Last GM Reset361813030021401033719125010018842461768020015261-9440.61114024338332384158510743283583761812094153017381434027.97%1442781.25%638175550.46%42582551.52%25448052.92%793492839292540273
_Vs Conference1468000003544-9734000001517-2734000002027-7120.42935599430384158540032835837618470162127260471021.28%571082.46%238175550.46%42582551.52%25448052.92%793492839292540273
_Vs Division7140000029101940200000213183120000087120.14329467502384158521732835837618194575016120525.00%25484.00%238175550.46%42582551.52%25448052.92%793492839292540273

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3644L31402433831074120941530173832
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3618133002140103
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1912510018842
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
176820015261
Derniers 10 Matchs
WLOTWOTL SOWSOL
450001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1434027.97%1442781.25%6
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
328358376183841585
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
38175550.46%42582551.52%25448052.92%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
793492839292540273


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 - 2019-10-1644Barracuda3Diabotins2WXSommaire du Match
13 - 2019-10-1849Barracuda4Leftovers3WSommaire du Match
15 - 2019-10-2058Hybrides2Barracuda4WSommaire du Match
16 - 2019-10-2164Barracuda4Requins3WSommaire du Match
18 - 2019-10-2372Benchwarmers1Barracuda12WSommaire du Match
21 - 2019-10-2682Barracuda3Hybrides4LSommaire du Match
22 - 2019-10-2785Vagabond2Barracuda5WSommaire du Match
24 - 2019-10-2993Barracuda4Vagabond5LSommaire du Match
26 - 2019-10-31101Caribou2Barracuda1LSommaire du Match
27 - 2019-11-01103Barracuda3Casse-Tete5LSommaire du Match
29 - 2019-11-03113Barracuda3Hooligans4LSommaire du Match
31 - 2019-11-05120Benchwarmers3Barracuda2LXXSommaire du Match
32 - 2019-11-06128Barracuda2Hybrides1WSommaire du Match
34 - 2019-11-08134Royaux2Barracuda3WSommaire du Match
36 - 2019-11-10145Diabotins0Barracuda2WSommaire du Match
37 - 2019-11-11151Barracuda2Chevalier3LSommaire du Match
41 - 2019-11-15160Barracuda2Requins1WXSommaire du Match
42 - 2019-11-16166Benchwarmers3Barracuda5WSommaire du Match
43 - 2019-11-17174Diabotins0Barracuda13WSommaire du Match
45 - 2019-11-19183Barracuda6Royaux3WSommaire du Match
47 - 2019-11-21190Chevalier3Barracuda1LSommaire du Match
49 - 2019-11-23199Royaux2Barracuda4WSommaire du Match
52 - 2019-11-26212Leftovers9Barracuda10WXSommaire du Match
55 - 2019-11-29221Barracuda7Benchwarmers5WSommaire du Match
56 - 2019-11-30227Requins1Barracuda3WSommaire du Match
59 - 2019-12-03237Barracuda2Leftovers4LSommaire du Match
61 - 2019-12-05243Casse-Tete4Barracuda2LSommaire du Match
62 - 2019-12-06251Barracuda2Leftovers3LXXSommaire du Match
64 - 2019-12-08258Casse-Tete2Barracuda0LSommaire du Match
66 - 2019-12-10267Barracuda1Hooligans4LSommaire du Match
68 - 2019-12-12274Vagabond1Barracuda0LSommaire du Match
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
23 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,332,914$ 3,130,584$ 2,456,867$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
19,206$ 1,332,914$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 95 19,206$ 1,824,570$




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
2019361813030021401033719125010018842461768020015261-94414024338332384158510743283583761812094153017381434027.97%1442781.25%638175550.46%42582551.52%25448052.92%793492839292540273
Total Saison Régulière45216921301419251219611504457227103890710117113570742822566124079145826797293461961337653371012675646601571381246634534446228214756526650368157152035123.09%185540578.17%814505879751.21%4747983548.27%3400654351.96%9954629910489367769143462
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