Rocket
GP: 80 | W: 44 | L: 25 | OTL: 11 | P: 99
GF: 364 | GA: 357 | PP%: 26.32% | PK%: 76.95%
DG: Pierre-Olivier Levesque | Morale : 53 | Moyenne d'Équipe : 64
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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 SPÂgeContratSalaire
1Tyler Pitlick (R) (A)X100.0074378072747274697174746569615543737002411,100,000$
2Tom Wilson (R)X100.008546757576637772687277656346455741700213950,000$
3Mattias TedenbyX100.006628778172777673647772568052483765700251850,000$
4Jonathan Matsumoto (C)X100.006924747268817573716971637868662541690291500,000$
5Corey Trivino (R)X100.007342806874737673716774657454473673690252950,000$
6Peter Holland (R)X100.007339807070666871767268616747463863670242750,000$
7Nick Ritchie (R)X100.007440687180538373597274575441417338670191500,000$
8Adrian Kempe (R)X100.006024687659726877697271557241416373660191500,000$
9Danton Heinen (R)X100.006033736554677774807473485743417654650191500,000$
10Anthony Nigro (R) (A)X100.005732737163636862627363636147482841630251500,000$
11Jakub Vrana (R)X100.006138686359696763675967626841416354620191500,000$
12Daniel Sprong (R)X100.004734695965646054534967366540406921550182500,000$
13Brian Dumoulin (R)X100.007336787775797875597762726156464373720242975,000$
14Alex Petrovic (R)X100.007038847471787370587562736055454442710231800,000$
15Viktor Loov (R)X100.006842796969717365547667705654484452680231750,000$
16Andrey Pedan (R)X100.007856676778547459425751674944444973650222750,000$
17Andrei Mironov (R)X100.006245846759606259557259676447445653640212700,000$
18Jack Glover (R)X100.006141806664646565545368565741416941610191500,000$
Rayé
1Jiri Sekac (R)X70.736827757168717271757567576346454457660232800,000$
2Sergey Tolchinsky (R)X100.006421746857625573576763636242425720620202600,000$
3Dominic Turgeon (R)X100.005436865662746255606656695241416166610191500,000$
4Scott Glennie (R)X100.005134746361645164636159606846463120600241500,000$
5Ty Rattie (R)X100.005426646561586763616175436544445020600222550,000$
6Charles Hudon (R)X100.006236735669675862685667516043434821600211550,000$
7Mason Appleton (R)X100.004533766459596558737165474841417020590192500,000$
8Tobias Lindberg (R)X100.006538656553556157655860505942424920570201500,000$
9Ryan MacInnis (R)X100.004234656944585172645051457041415419550191500,000$
10Dean Kukan (R)X100.005943846073676959366743834349474756660222500,000$
11Tyler Lewington (R)X100.006022776867705758325548674344434220610212500,000$
12Guillaume Brisebois (R)X100.006143735763565656375743614940407219580182500,000$
MOYENNE D'ÉQUIPE99.02633675686666676661666460614745514464
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
1Jean-Francois Berube100.00697976737272767374738053463669720
Rayé
1Joni Ortio99.00647665697172707671665946474272690
MOYENNE D'ÉQUIPE99.5067787171727273757370705047397171
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gerard Gallant65666472386557CAN481500,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'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
1Adrian KempeRocket (Mon)LW804571116-319401431093429521613.16%35154819.3617345156264000123449.26%1367128011.50411000396
2Mattias TedenbyRocket (Mon)RW803750872128095902418415215.35%24131716.47611171011502242015237.19%1216726021.3218000744
3Peter HollandRocket (Mon)C63325183-161951181241774710918.08%20126420.07142337442062242944252.47%16582419001.3106001274
4Tyler PitlickRocket (Mon)LW80413879292801341021995213120.60%38150318.801012222120520272782247.71%1094329021.0502000455
5Corey TrivinoRocket (Mon)C80255378112001291371763610014.20%37144118.02517221918822452091147.85%14652325201.0828000645
6Danton HeinenRocket (Mon)RW79403373-22795110702567213915.63%29144418.2919123156255000006061.47%109386011.0159100622
7Nick RitchieRocket (Mon)LW8238347220700170802115512218.01%21135316.511014242523300013510238.46%654021011.0601000463
8Brian DumoulinRocket (Mon)D80962711256012519617772765.08%141215426.9451318372980334204010.00%05474000.6600000054
9Tom WilsonRocket (Mon)RW50272552165558057143368518.88%1775515.1116710860000121152.83%534117101.3800001321
10Alex PetrovicRocket (Mon)D70841491216010312311152507.21%109177425.355813172320331199100.00%03049000.5500000210
11Jiri SekacRocket (Mon)LW75192241-1932010966145557613.10%24102313.64325151030000762057.69%262215000.8000000100
12Viktor LoovRocket (Mon)D6813132-17340801078443401.19%93156322.99134102170111136000.00%03442000.4100000000
13Jonathan MatsumotoRocket (Mon)C25121426660374057193921.05%1341716.694268510110271053.01%349109001.2500000022
14Jakub VranaRocket (Mon)LW60101525-2220583075324613.33%95048.41000011122391250.00%41210000.9900000100
15Andrey PedanRocket (Mon)D8021921162093824619264.35%64119614.961012420000112010.00%1145000.3500000020
16Andrei MironovRocket (Mon)D6411819106039595721231.75%58107116.751016127000019000.00%01343000.3500000011
17Dean KukanRocket (Mon)D6801818-12115401063222180.00%85114816.890221430002242000.00%0543000.3100001000
18Sergey TolchinskyRocket (Mon)LW4197165120422638173723.68%144079.94000031011492155.56%997100.7900000103
19Dominic TurgeonRocket (Mon)C739514-840265254112516.67%195988.20000001012233143.70%254613000.4700000002
20Anthony NigroRocket (Mon)C2521113-716028282611297.69%1232312.96000030111650044.28%27158000.8000000001
21Ty RattieRocket (Mon)RW33729-414027960202511.67%12547.7200003000020057.14%7141000.7100000002
22Jack GloverRocket (Mon)D46156-51802133131547.69%2965814.310110310001137000.00%01014000.1800000000
23Mason AppletonRocket (Mon)C18303160791041030.00%41307.2500016000011148.57%7011000.4600000000
24Daniel SprongRocket (Mon)RW38213-3140177114918.18%22917.680000600000010.00%333000.2100000000
25Charles HudonRocket (Mon)LW151230205213397.69%1815.46000010001100033.33%352000.7300000000
26Guillaume BriseboisRocket (Mon)D13011-8403101030.00%414010.8401101700006000.00%012000.1400000000
27Tyler LewingtonRocket (Mon)D7000-120140000.00%1395.610000000000000.00%001000.0000000000
28Tobias LindbergRocket (Mon)RW8000100000010.00%081.080000000003000.00%010000.0000000000
29Scott GlennieRocket (Mon)RW7000220023010.00%0314.520000000000000.00%011000.0000000000
Stats d'équipe Total ou en Moyenne15083816291010-873220184017602758897160113.81%9042445316.22102161263338274991625362191432249.48%4713584554470.831245103405045
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
1Joni OrtioRocket (Mon)52241350.8674.352567401861398687200.571144337211
2Jean-Francois BerubeRocket (Mon)46201260.8674.332301401661252598100.700303743300
Stats d'équipe Total ou en Moyenne984425110.8674.3448688035226501285300.659448080511


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
Adrian KempeRocket (Mon)LW191996-01-01Yes201 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Alex PetrovicRocket (Mon)D231992-01-01Yes206 Lbs6 ft4NoNoNo1Pro & Farm800,000$0$0$No
Andrei MironovRocket (Mon)D211994-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No750,000$
Andrey PedanRocket (Mon)D221993-01-01Yes213 Lbs6 ft5NoNoNo2Pro & Farm750,000$0$0$No800,000$
Anthony NigroRocket (Mon)C251990-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Brian DumoulinRocket (Mon)D241991-01-01Yes219 Lbs6 ft4NoNoNo2Pro & Farm975,000$0$0$No975,000$
Charles HudonRocket (Mon)LW211994-01-01Yes170 Lbs5 ft10NoNoNo1Pro & Farm550,000$0$0$No
Corey TrivinoRocket (Mon)C251990-01-01Yes170 Lbs6 ft1NoNoNo2Pro & Farm950,000$0$0$No950,000$
Daniel SprongRocket (Mon)RW181997-01-01Yes191 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Danton HeinenRocket (Mon)RW191996-01-01Yes188 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Dean KukanRocket (Mon)D221993-01-01Yes192 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Dominic TurgeonRocket (Mon)C191996-01-01Yes200 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Guillaume BriseboisRocket (Mon)D181997-01-01Yes175 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jack GloverRocket (Mon)D191996-01-01Yes198 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Jakub VranaRocket (Mon)LW191996-01-01Yes197 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Jean-Francois BerubeRocket (Mon)G241991-01-01No177 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
Jiri Sekac (Sur la Masse Salariale)Rocket (Mon)LW231992-01-01Yes195 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$Yes900,000$
Jonathan MatsumotoRocket (Mon)C291986-01-01No184 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Joni OrtioRocket (Mon)G241991-01-01No185 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$No
Mason AppletonRocket (Mon)C191996-01-01Yes193 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Mattias TedenbyRocket (Mon)RW251990-01-01No175 Lbs5 ft10NoNoNo1Pro & Farm850,000$0$0$No
Nick RitchieRocket (Mon)LW191996-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Peter HollandRocket (Mon)C241991-01-01Yes194 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
Ryan MacInnisRocket (Mon)C191996-01-01Yes191 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Scott GlennieRocket (Mon)RW241991-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Sergey TolchinskyRocket (Mon)LW201995-01-01Yes185 Lbs5 ft7NoNoNo2Pro & Farm600,000$0$0$No700,000$
Tobias LindbergRocket (Mon)RW201995-01-01Yes185 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Tom WilsonRocket (Mon)RW211994-01-01Yes205 Lbs6 ft3NoNoNo3Pro & Farm950,000$0$0$No1,250,000$1,750,000$
Ty RattieRocket (Mon)RW221993-01-01Yes190 Lbs6 ft0NoNoNo2Pro & Farm550,000$0$0$No550,000$
Tyler LewingtonRocket (Mon)D211994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Tyler PitlickRocket (Mon)LW241991-01-01Yes202 Lbs6 ft0NoNoNo1Pro & Farm1,100,000$0$0$No
Viktor LoovRocket (Mon)D231992-01-01Yes181 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3221.72190 Lbs6 ft11.50644,531$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Adrian KempePeter HollandDanton Heinen35014
2Nick RitchieCorey TrivinoTom Wilson35014
3Tyler PitlickJonathan MatsumotoMattias Tedenby25014
4Jakub VranaAnthony NigroDaniel Sprong5032
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alex PetrovicBrian Dumoulin40122
2Andrei MironovViktor Loov30122
3Jack GloverAndrey Pedan20122
4Alex PetrovicBrian Dumoulin10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Adrian KempePeter HollandDanton Heinen60005
2Nick RitchieCorey TrivinoTyler Pitlick40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brian DumoulinAlex Petrovic60014
2Andrei MironovViktor Loov40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anthony NigroTyler Pitlick60140
2Jonathan MatsumotoMattias Tedenby40140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jack GloverAndrey Pedan60140
2Brian DumoulinAlex Petrovic40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Corey Trivino60050Andrei MironovAlex Petrovic60050
2Jonathan Matsumoto40050Jack GloverAndrey Pedan40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Anthony NigroAdrian Kempe60023
2Jonathan MatsumotoMattias Tedenby40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Viktor LoovBrian Dumoulin60023
2Andrey PedanJack Glover40023
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Adrian KempeCorey TrivinoDanton HeinenBrian DumoulinAlex Petrovic
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tyler PitlickPeter HollandMattias TedenbyAlex PetrovicAndrei Mironov
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Adrian Kempe, Danton Heinen, Mattias TedenbyDanton Heinen, Adrian KempeMattias Tedenby
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brian Dumoulin, Alex Petrovic, Andrey PedanBrian DumoulinAndrei Mironov, Alex Petrovic
Tirs de Pénalité
Mattias Tedenby, Adrian Kempe, Danton Heinen, Corey Trivino, Nick Ritchie
Gardien
#1 : , #2 : Jean-Francois Berube


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
1Admirals4210001024222210000101293211000001213-160.7502440640089139127171318319058766515347429118527.78%21861.90%0908178450.90%876186447.00%694137050.66%168992617137741469725
2Barracuda404000001326-1320200000916-720200000410-600.0001322350089139127171168319058766514345358317423.53%15660.00%1908178450.90%876186447.00%694137050.66%168992617137741469725
3Bears31100010161511010000056-121000010119240.66716244000891391271711583190587665782322899444.44%12558.33%0908178450.90%876186447.00%694137050.66%168992617137741469725
4Checkers22000000835110000005141100000032141.000815230089139127176083190587665592016389111.11%80100.00%0908178450.90%876186447.00%694137050.66%168992617137741469725
5Comets2100100013103100010008711100000053241.0001321340089139127176083190587665651416388562.50%8275.00%3908178450.90%876186447.00%694137050.66%168992617137741469725
6Condors722011013437-3311001001317-4411010012120180.57134579100891391271723883190587665250855414222836.36%27485.19%0908178450.90%876186447.00%694137050.66%168992617137741469725
7Crunch22000000936110000003121100000062441.0009142300891391271763831905876656526103713323.08%5180.00%0908178450.90%876186447.00%694137050.66%168992617137741469725
8Devils2010010047-31010000024-21000010023-110.2504812008913912717698319058766574211254200.00%6266.67%0908178450.90%876186447.00%694137050.66%168992617137741469725
9Eagles2100010010821000010045-11100000063330.75010192900891391271765831905876656524203811436.36%100100.00%0908178450.90%876186447.00%694137050.66%168992617137741469725
10Griffins641000012425-1321000001013-3320000011412290.75024416500891391271719683190587665191706414134926.47%31874.19%0908178450.90%876186447.00%694137050.66%168992617137741469725
11Heat302000011216-420100001912-31010000034-110.1671221330089139127171008319058766510428207010440.00%11372.73%0908178450.90%876186447.00%694137050.66%168992617137741469725
12IceHogs32000100181262100010013941100000053250.833183048008913912717106831905876657937287220840.00%14378.57%1908178450.90%876186447.00%694137050.66%168992617137741469725
13Influenza42200000232122110000011101211000001211140.5002341640089139127171408319058766513263329325624.00%16475.00%0908178450.90%876186447.00%694137050.66%168992617137741469725
14Little Stars20100100610-41000010023-11010000047-310.2506814008913912717608319058766570241232700.00%6183.33%0908178450.90%876186447.00%694137050.66%168992617137741469725
15Monsters3210000015141211000009901100000065140.667152540008913912717858319058766512036426614428.57%21671.43%1908178450.90%876186447.00%694137050.66%168992617137741469725
16Moose622001012627-13110010016133311000011014-460.5002646720089139127171838319058766519574551331417.14%25580.00%0908178450.90%876186447.00%694137050.66%168992617137741469725
17Penguins20100001612-61010000016-51000000156-110.250681400891391271757831905876656125334712216.67%14471.43%0908178450.90%876186447.00%694137050.66%168992617137741469725
18Phantoms650000103119123300000014773200001017125121.00031548500891391271721883190587665196487312034926.47%33681.82%0908178450.90%876186447.00%694137050.66%168992617137741469725
19Punishers2020000047-31010000013-21010000034-100.00048120089139127176183190587665762514526116.67%7185.71%0908178450.90%876186447.00%694137050.66%168992617137741469725
20Rampage20100010770100000105411010000023-120.50077140089139127176783190587665632716406116.67%8187.50%0908178450.90%876186447.00%694137050.66%168992617137741469725
21Reign32001000191451100000075221001000129361.000193150008913912717108831905876658927244710220.00%12283.33%2908178450.90%876186447.00%694137050.66%168992617137741469725
22Senators21000010963100000106511100000031241.000916250089139127177083190587665731810499222.22%50100.00%0908178450.90%876186447.00%694137050.66%168992617137741469725
23Sound Tigers421000101819-121000010128421100000611-560.7501830480089139127171278319058766512145429419421.05%21671.43%1908178450.90%876186447.00%694137050.66%168992617137741469725
24Thunderbirds21100000810-2110000006241010000028-620.500814220089139127177883190587665592210487228.57%5180.00%0908178450.90%876186447.00%694137050.66%168992617137741469725
25Wolfpack211000007701010000026-41100000051420.500713200089139127175983190587665692712406116.67%6183.33%0908178450.90%876186447.00%694137050.66%168992617137741469725
Total803525036653643577401613015411851814401912021241791763990.619364613977008913912717263283190587665265090171417543429026.32%3478076.95%9908178450.90%876186447.00%694137050.66%168992617137741469725
_Since Last GM Reset803525036653643577401613015411851814401912021241791763990.619364613977008913912717263283190587665265090171417543429026.32%3478076.95%9908178450.90%876186447.00%694137050.66%168992617137741469725
_Vs Conference53261502343261251102613800320131122927137020231301291700.660261441702008913912717176383190587665174760051311712366427.12%2486374.60%6908178450.90%876186447.00%694137050.66%168992617137741469725
_Vs Division251350121311510871273002005350313620101362584350.700115198313008913912717835831905876658322772465361042725.96%1162380.17%0908178450.90%876186447.00%694137050.66%168992617137741469725

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8099L136461397726322650901714175400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8035253665364357
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4016131541185181
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4019122124179176
Derniers 10 Matchs
WLOTWOTL SOWSOL
630100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3429026.32%3478076.95%9
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
831905876658913912717
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
908178450.90%876186447.00%694137050.66%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
168992617137741469725


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 - 2020-10-095Griffins9Rocket2LR2Sommaire du Match
3 - 2020-10-1113Rocket4Phantoms3WXXSommaire du Match
6 - 2020-10-1433Rocket3Moose9LR1Sommaire du Match
8 - 2020-10-1640Rocket7Condors6WXSommaire du Match
10 - 2020-10-1849Condors5Rocket4LXSommaire du Match
13 - 2020-10-2168Moose4Rocket3LR1Sommaire du Match
14 - 2020-10-2277Rocket4Condors2WSommaire du Match
17 - 2020-10-2596Griffins3Rocket5WR2Sommaire du Match
19 - 2020-10-27101Rocket5Griffins4WSommaire du Match
22 - 2020-10-30119IceHogs3Rocket8WR1Sommaire du Match
26 - 2020-11-03141Rocket6Influenza4WSommaire du Match
28 - 2020-11-05148Phantoms2Rocket4WR2Sommaire du Match
30 - 2020-11-07166Rocket5Griffins3WR2Sommaire du Match
31 - 2020-11-08172Condors4Rocket6WSommaire du Match
35 - 2020-11-12190Rocket7Reign6WXSommaire du Match
37 - 2020-11-14199Phantoms2Rocket4WR2Sommaire du Match
40 - 2020-11-17217Bears6Rocket5LR1Sommaire du Match
42 - 2020-11-19227Rocket3Heat4LSommaire du Match
44 - 2020-11-21239Rocket2Thunderbirds8LSommaire du Match
46 - 2020-11-23250Rocket2Rampage3LSommaire du Match
48 - 2020-11-25258Eagles5Rocket4LXSommaire du Match
50 - 2020-11-27270Rocket5Sound Tigers4WR2Sommaire du Match
52 - 2020-11-29281Rampage4Rocket5WXXSommaire du Match
54 - 2020-12-01293Rocket1Sound Tigers7LR2Sommaire du Match
57 - 2020-12-04306Little Stars3Rocket2LXSommaire du Match
59 - 2020-12-06315Rocket5Bears4WR1Sommaire du Match
61 - 2020-12-08329Rocket5Reign3WSommaire du Match
63 - 2020-12-10335Comets7Rocket8WXSommaire du Match
65 - 2020-12-12349Rocket5Comets3WSommaire du Match
68 - 2020-12-15362Barracuda7Rocket4LSommaire du Match
71 - 2020-12-18377Rocket3Moose4LXXR1Sommaire du Match
73 - 2020-12-20386Heat6Rocket4LSommaire du Match
77 - 2020-12-24411IceHogs6Rocket5LXR1Sommaire du Match
81 - 2020-12-28430Barracuda9Rocket5LSommaire du Match
85 - 2021-01-01451Wolfpack6Rocket2LSommaire du Match
89 - 2021-01-05473Punishers3Rocket1LSommaire du Match
91 - 2021-01-07482Rocket3Punishers4LSommaire du Match
93 - 2021-01-09494Rocket6Bears5WXXR1Sommaire du Match
95 - 2021-01-11504Monsters5Rocket3LSommaire du Match
100 - 2021-01-16526Senators5Rocket6WXXSommaire du Match
106 - 2021-01-22550Reign5Rocket7WSommaire du Match
109 - 2021-01-25568Rocket3Senators1WSommaire du Match
111 - 2021-01-27578Phantoms3Rocket6WR2Sommaire du Match
114 - 2021-01-30598Griffins1Rocket3WR2Sommaire du Match
117 - 2021-02-02616Rocket8Admirals7WR1Sommaire du Match
120 - 2021-02-05627Condors8Rocket3LSommaire du Match
122 - 2021-02-07637Rocket5Wolfpack1WSommaire du Match
124 - 2021-02-09648Rocket2Barracuda4LSommaire du Match
125 - 2021-02-10657Checkers1Rocket5WSommaire du Match
130 - 2021-02-15677Rocket6Crunch2WR1Sommaire du Match
131 - 2021-02-16683Monsters4Rocket6WSommaire du Match
135 - 2021-02-20706Influenza6Rocket8WSommaire du Match
138 - 2021-02-23723Rocket6Eagles3WSommaire du Match
140 - 2021-02-25732Heat6Rocket5LXXSommaire du Match
142 - 2021-02-27743Rocket3Checkers2WSommaire du Match
144 - 2021-03-01749Rocket2Barracuda6LSommaire du Match
146 - 2021-03-03759Influenza4Rocket3LSommaire du Match
147 - 2021-03-04767Rocket6Influenza7LSommaire du Match
151 - 2021-03-08786Sound Tigers6Rocket7WXXR2Sommaire du Match
153 - 2021-03-10794Rocket6Condors7LXXSommaire du Match
157 - 2021-03-14810Rocket4Moose1WR1Sommaire du Match
158 - 2021-03-15816Crunch1Rocket3WR1Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
162 - 2021-03-19837Penguins6Rocket1LSommaire du Match
164 - 2021-03-21849Rocket6Monsters5WR2Sommaire du Match
166 - 2021-03-23859Rocket2Devils3LXSommaire du Match
168 - 2021-03-25865Rocket4Griffins5LXXR2Sommaire du Match
169 - 2021-03-26871Sound Tigers2Rocket5WSommaire du Match
172 - 2021-03-29889Rocket4Little Stars7LSommaire du Match
174 - 2021-03-31896Admirals6Rocket7WXXR1Sommaire du Match
178 - 2021-04-04917Rocket5Penguins6LXXSommaire du Match
179 - 2021-04-05923Admirals3Rocket5WR1Sommaire du Match
183 - 2021-04-09941Devils4Rocket2LSommaire du Match
186 - 2021-04-12954Rocket4Condors5LSommaire du Match
189 - 2021-04-15968Moose3Rocket8WR1Sommaire du Match
194 - 2021-04-20992Moose6Rocket5LXSommaire du Match
195 - 2021-04-21998Rocket5IceHogs3WR1Sommaire du Match
196 - 2021-04-221006Rocket5Phantoms3WSommaire du Match
199 - 2021-04-251020Thunderbirds2Rocket6WSommaire du Match
200 - 2021-04-261024Rocket8Phantoms6WR2Sommaire du Match
201 - 2021-04-271026Rocket4Admirals6LR1Sommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets2013
Assistance79,15038,937
Assistance PCT98.94%97.34%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 2952 - 98.41% 54,841$2,193,638$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,856,196$ 2,837,500$ 2,597,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
13,841$ 2,328,665$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 16,280$ 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