Rocket
GP: 11 | W: 7 | L: 4
GF: 42 | GA: 33 | PP%: 17.74% | PK%: 80.39%
DG: Pierre-Olivier Levesque | Morale : 49 | 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)X100.0074378072747274697174746569615543807002411,100,000$
2Tom Wilson (R)X100.008546757576637772687277656346455750700213950,000$
3Mattias TedenbyX100.006628778172777673647772568052483774700251850,000$
4Jonathan Matsumoto (C)X100.006924747268817573716971637868662550690291500,000$
5Corey Trivino (R)X100.007342806874737673716774657454473680690252950,000$
6Nick Ritchie (R)X100.007440687180538373597274575441417347670191500,000$
7Adrian Kempe (R)X100.006024687659726877697271557241416380660191500,000$
8Danton Heinen (R)X100.006033736554677774807473485743417662650191500,000$
9Anthony Nigro (R) (A)X100.005732737163636862627363636147482850630251500,000$
10Jakub Vrana (R)X100.006138686359696763675967626841416362620191500,000$
11Dominic Turgeon (R)X100.005436865662746255606656695241416164610191500,000$
12Ty Rattie (R)X100.005426646561586763616175436544445034600222550,000$
13Brian Dumoulin (R)X100.007336787775797875597762726156464380720242975,000$
14Alex Petrovic (R)X100.007038847471787370587562736055454451710231800,000$
15Viktor Loov (R)X100.006842796969717365547667705654484460680231750,000$
16Dean Kukan (R)X100.005943846073676959366743834349474760660222500,000$
17Andrey Pedan (R)X100.007856676778547459425751674944444980650222750,000$
18Andrei Mironov (R)X100.006245846759606259557259676447445661640212700,000$
Rayé
1Peter Holland (R)X100.007339807070666871767268616747463863670242750,000$
2Jiri Sekac (R)X100.006827757168717271757567576346454467660232800,000$
3Sergey Tolchinsky (R)X100.006421746857625573576763636242425720620202600,000$
4Scott Glennie (R)X100.005134746361645164636159606846463120600241500,000$
5Charles Hudon (R)X100.006236735669675862685667516043434820600211550,000$
6Mason Appleton (R)X100.004533766459596558737165474841417019590192500,000$
7Tobias Lindberg (R)X100.006538656553556157655860505942424920570201500,000$
8Daniel Sprong (R)X100.004734695965646054534967366540406919550182500,000$
9Ryan MacInnis (R)X100.004234656944585172645051457041415419550191500,000$
10Tyler Lewington (R)X100.006022776867705758325548674344434220610212500,000$
11Jack Glover (R)X100.006141806664646565545368565741416935610191500,000$
12Guillaume Brisebois (R)X100.006143735763565656375743614940407219580182500,000$
MOYENNE D'ÉQUIPE100.00633675686666676661666460614745514964
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 Berube100.00697976737272767374738053463677720
2Joni Ortio100.00647665697172707671665946474280690
Rayé
MOYENNE D'ÉQUIPE100.0067787171727273757370705047397971
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
1Mattias TedenbyRocket (Mon)RW1186146140171746142617.39%623921.751237450001180142.59%54197001.1700000211
2Adrian KempeRocket (Mon)LW116511160221347101712.77%418516.835051034000011023.08%1354001.1900000111
3Alex PetrovicRocket (Mon)D1119100601418263153.85%1731328.46044653000036000.00%0106000.6400000000
4Tom WilsonRocket (Mon)RW11461038019182982013.79%518016.440003120000301063.64%1151001.1100000111
5Corey TrivinoRocket (Mon)C113710280232128101510.71%222420.401679520000162046.13%271510000.8900000021
6Tyler PitlickRocket (Mon)LW110996802617327110.00%921519.600005200000310036.84%1975000.8300000000
7Jonathan MatsumotoRocket (Mon)C11639612011172431525.00%417015.46101218000030045.11%18444001.0600000011
8Brian DumoulinRocket (Mon)D11268180282125578.00%1532029.162351053000040010.00%054000.5000000100
9Nick RitchieRocket (Mon)LW11358180271315111520.00%315814.400110390001120033.33%331001.0100000011
10Danton HeinenRocket (Mon)RW11358-120117359128.57%213612.41112633000002066.67%952001.1700000000
11Viktor LoovRocket (Mon)D1105504012167540.00%1123121.09011140000032000.00%013000.4300000000
12Andrei MironovRocket (Mon)D110445004913220.00%516515.0500002600006000.00%035000.4800000000
13Peter HollandRocket (Mon)C10123-1001211103810.00%313513.570001210000161046.84%7922000.4400000000
14Andrey PedanRocket (Mon)D110337807100040.00%713212.040000100006000.00%026000.4500000000
15Anthony NigroRocket (Mon)C11123000717165126.25%511110.14000030000220144.00%7512000.5400000000
16Jakub VranaRocket (Mon)LW112020005671028.57%1847.66000000000000100.00%203000.4700000000
17Ty RattieRocket (Mon)RW11101040112146137.14%2928.410000300000000.00%210000.2200000000
18Dominic TurgeonRocket (Mon)C110100012100100.00%177.6200000000000033.33%310002.6300000000
19Dean KukanRocket (Mon)D110003604147140.00%1518616.93000014000032000.00%019000.0000000000
Stats d'équipe Total ou en Moyenne198427711939102026124938210320010.99%117329116.631118296047600023107345.24%7258074000.7200000576
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
1Jean-Francois BerubeRocket (Mon)117300.9102.966480032356181000.0000110200
2Joni OrtioRocket (Mon)10010.9292.4025001147000.0000011000
Stats d'équipe Total ou en Moyenne127310.9112.946730033370188000.00001111200


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 SekacRocket (Mon)LW231992-01-01Yes195 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No900,000$
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 KempeCorey TrivinoMattias Tedenby40023
2Tyler PitlickJonathan MatsumotoTom Wilson30023
3Nick RitchieAnthony NigroDanton Heinen25023
4Jakub VranaDominic TurgeonTy Rattie5032
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alex PetrovicBrian Dumoulin40122
2Viktor LoovAndrei Mironov30122
3Dean KukanAndrey Pedan20122
4Alex PetrovicBrian Dumoulin10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Adrian KempeCorey TrivinoDanton Heinen60014
2Nick RitchieJonathan MatsumotoMattias Tedenby40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brian DumoulinAlex Petrovic60023
2Viktor LoovAndrei Mironov40023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anthony NigroTyler Pitlick60122
2Corey TrivinoTom Wilson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dean KukanBrian Dumoulin60122
2Viktor LoovAlex Petrovic40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Corey Trivino60122Alex PetrovicDean Kukan60122
2Anthony Nigro40122Brian DumoulinViktor Loov40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mattias TedenbyTyler Pitlick60122
2Tom WilsonCorey Trivino40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brian DumoulinAlex Petrovic60122
2Viktor LoovDean Kukan40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tyler PitlickMattias TedenbyTom WilsonBrian DumoulinAlex Petrovic
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tyler PitlickMattias TedenbyTom WilsonBrian DumoulinAlex Petrovic
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tyler Pitlick, Mattias Tedenby, Corey TrivinoAnthony Nigro, Mattias TedenbyTom Wilson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alex Petrovic, Brian Dumoulin, Viktor LoovAlex PetrovicAlex Petrovic, Brian Dumoulin
Tirs de Pénalité
Tyler Pitlick, Mattias Tedenby, Corey Trivino, Anthony Nigro, Tom Wilson
Gardien
#1 : Jean-Francois Berube, #2 : Joni Ortio


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
1Condors7340000028244413000001113-2321000001711660.4292853810013121612301341281128226765616745817.78%28678.57%012328243.62%12927646.74%7616745.51%246134227107201101
2Moose440000001495220000006422200000085381.000142438001312161152134128112814441469417317.65%23482.61%012328243.62%12927646.74%7616745.51%246134227107201101
Total1174000004233963300000171705410000025169140.63642771190013121613821341281128370117102261621117.74%511080.39%012328243.62%12927646.74%7616745.51%246134227107201101
_Since Last GM Reset1174000004233963300000171705410000025169140.63642771190013121613821341281128370117102261621117.74%511080.39%012328243.62%12927646.74%7616745.51%246134227107201101
_Vs Conference1174000004233963300000171705410000025169140.63642771190013121613821341281128370117102261621117.74%511080.39%012328243.62%12927646.74%7616745.51%246134227107201101
_Vs Division1174000004233963300000171705410000025169140.63642771190013121613821341281128370117102261621117.74%511080.39%012328243.62%12927646.74%7616745.51%246134227107201101

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1114L1427711938237011710226100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
117400004233
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300001717
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
54100002516
Derniers 10 Matchs
WLOTWOTL SOWSOL
531100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
621117.74%511080.39%0
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
13412811281312161
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
12328243.62%12927646.74%7616745.51%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
246134227107201101


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 - 2020-10-092Moose3Rocket4WR2Sommaire du Match
2 - 2020-10-1010Moose1Rocket2WXSommaire du Match
3 - 2020-10-1118Rocket3Moose2WR2Sommaire du Match
4 - 2020-10-1226Rocket5Moose3WSommaire du Match
8 - 2020-10-1657Condors5Rocket3LR1Sommaire du Match
9 - 2020-10-1761Condors1Rocket3WSommaire du Match
10 - 2020-10-1865Rocket4Condors5LXR1Sommaire du Match
11 - 2020-10-1969Rocket6Condors2WSommaire du Match
12 - 2020-10-2073Condors4Rocket3LR1Sommaire du Match
13 - 2020-10-2177Rocket7Condors4WSommaire du Match
14 - 2020-10-2281Condors3Rocket2LR1Sommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets2013
Assistance12,0006,000
Assistance PCT100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
34 3000 - 100.00% 55,650$333,900$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,062,500$ 1,982,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

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