Caroline

GP: 82 | W: 24 | L: 50 | OTL: 8 | P: 56
GF: 265 | GA: 397 | PP%: 20.06% | PK%: 74.35%
DG: Olivier Pinho | Morale : 50 | Moyenne d'Équipe : 44
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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
1Nikita SoshnikovXX100.00533587735759414950455258454236050530
2Brad MaloneXX100.00533575687450364145404261484743050510
3Lias Andersson (R)X100.00493595687053354041384262483532050500
4Wade MeganX100.00513595736452353943354263483734050500
5Brandon Gignac (R)X100.00434343435443434343434343433230050440
6Kevin Stenlund (R)X100.00414545457239394145414145433230050440
7Yakov Trenin (R)XX100.00414545456639394145414145433230050430
8Alexander Dergachyov (R)X100.00414343437040404143414143423230050430
9Beau Starrett (R)XX100.00394343436937373943393943413230050420
10Yohann AuvituX100.00503589695856424835464966483734050550
11Olli Juolevi (R)X100.00555555555755555555555555553230050520
12Petteri LindbohmX100.00604379626551333035293165473734050510
13Michael KaplaX100.00483594646551333035293163473532050500
14Andrew Peeke (R)X100.00454545456645454545454545453230050460
15Casey Fitzgerald (R)X100.00434343435743434343434343433230050440
16Maxime Lajoie (R)X100.00373737375737373737373737373230050390
Rayé
1Jordan NolanXX100.00755673627663594763435054485451050550
2Juho Lammikko (R)XXX100.00394343436337373943393943413230050420
3Lukas Vejdemo (R)XXX100.00394343436737373943393943413230050420
4Tanner Kaspick (R)X100.00404040407140404040404040403230050420
5Adam Musil (R)X100.00364040407035353640363640383230050400
6Daniel Bernhardt (R)X100.00364040406635353640363640383230050400
7Nicholas Caamano (R)X100.00373737376537373737373737373230050400
8Anthony Richard (R)XX100.00364040404535353640363640383230050390
9Graham Black (R)X100.00333737375133333337333337353230050370
10Jaedon Descheneau (R)X100.00333737375633333337333337353230050370
11Brad RichardsXX100.00202020202020202020202020202020050240
12Nikita NesterovX100.00653580736159464735474763474037050560
13Blake Siebenaler (R)X100.00394343436237373943393943413230050420
14Jan Hejda (R)X100.00202020202020202020202020202020050240
MOYENNE D'ÉQUIPE100.0043395448604238394138394641343105044
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
1Dustin Tokarski100.0033454476334648334390884643050480
2Felix Sandstrom (R)100.0041434170403939393939383230050420
3Edward Pasquale (R)100.0038403880373636363636353230050410
Rayé
1Adam Werner (R)100.0037373774373737373737373230050410
MOYENNE D'ÉQUIPE100.003741407537404036395150363305043
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
1Gabriel BourqueCarolineLW/RW623240723928070981835412817.49%10125520.25713203819310121236150.00%15000011.1527000446
2Nikita SoshnikovCaroline (Car)LW/RW78372764-15001031012646617514.02%14145418.64716235026211271331153.63%39900010.8818000432
3Blake SiebenalerCaroline (Car)D59163349-16761015173127386512.60%105102317.35891770128000087120.00%000000.9600101345
4Beau StarrettCaroline (Car)C/LW82182341-1712515200791575310811.46%70129215.76671353116000082136.36%3300100.6300102523
5Kevin StenlundCaroline (Car)C82192241-48430115102135319014.07%1894511.53000000002623247.39%67100000.8700132054
6Artturi LehkonenCarolineLW/RW231714314401241107277815.89%542618.52851326670000331042.22%4500001.4611000104
7Oskar LindblomCarolineLW44151631211202845114367613.16%557513.0931411320000154150.00%4200001.0800000222
8Wade MeganCaroline (Car)C34131427-1380995125417910.40%1365819.3615620910001872147.53%78900000.8215000401
9Olli JuoleviCaroline (Car)D34101626-125210533369204014.49%3061418.075274092101199010.00%000010.8511020123
10Yohann AuvituCaroline (Car)D34121325-11140346592345213.04%5473421.608210521100222134110.00%000000.6811000311
11Brad MaloneCaroline (Car)C/LW3432124-622058867726593.90%774421.881671710602221290051.11%67300000.6518000102
12Lukas VejdemoCaroline (Car)C/LW/RW489918-4240364676265811.84%73988.3000000000000050.00%3600010.9000000222
13Michael KaplaCaroline (Car)D3431215-21009322782111.11%3440611.96011521000011000.00%000000.7400000200
14Casey FitzgeraldCaroline (Car)D3431114820046151841116.67%203229.49011370000380050.00%200000.8700000012
15Petteri LindbohmCaroline (Car)D3531114-1220035384711256.38%4662717.9314524920001111000.00%000000.4500000121
16Andrew PeekeCaroline (Car)D343912-246074131981015.79%1741712.2700000000052100.00%000000.5800000010
17Brandon GignacCaroline (Car)C3411112-124406411338153.03%256016.49022689000010046.58%7300000.4300000001
18Andreas BorgmanCarolineD21235-820046204615134.35%3839418.791122351000160000.00%000000.2500000010
19Corey TroppCarolineLW/RW15044-1401020235230.00%530320.230225480000470041.18%1700000.2601000000
20Yakov TreninCaroline (Car)C/LW34314-1328103610373158.11%557216.851019880003320063.33%3000000.1400101001
21Alexander DergachyovCaroline (Car)C341231001610102610.00%11484.361126260000280147.73%8800000.4000000000
22Lias AnderssonCaroline (Car)C1000-100111000.00%01313.1800000000000023.08%1300000.0000000000
Stats d'équipe Total ou en Moyenne890220312532-6269175120610341787516114712.31%5061388915.6158781364581627358221298221249.07%306100140.77832456333040
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
1Felix SandstromCaroline (Car)143630.8723.8468700443450000.600151215101
2Dustin TokarskiCaroline (Car)31200.8155.881020010540000.000030010
Stats d'équipe Total ou en Moyenne174830.8654.1079000543990000.600151515111


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
Adam MusilCaroline (Car)C201997-03-26Yes202 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Adam WernerCaroline (Car)G201997-05-02Yes195 Lbs6 ft5NoNoNo4Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Alexander DergachyovCaroline (Car)C211996-09-27Yes200 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Andrew PeekeCaroline (Car)D191998-03-17Yes200 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Anthony RichardCaroline (Car)C/LW201996-12-20Yes163 Lbs5 ft9NoNoNo2Contrat d'EntréePro & Farm925,000$92,500$0$NoLien
Beau StarrettCaroline (Car)C/LW211995-11-01Yes197 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Blake SiebenalerCaroline (Car)D211996-02-27Yes192 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm667,000$66,700$0$NoLien
Brad MaloneCaroline (Car)C/LW281989-05-20No213 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm650,000$65,000$0$NoLien
Brad Richards (Contrat à 1 Volet)Caroline (Car)C/LW371980-05-02No199 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm2,650,000$2,650,000$0$NoLien
Brandon GignacCaroline (Car)C191997-11-07Yes179 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm742,500$74,250$0$NoLien
Casey FitzgeraldCaroline (Car)D201997-02-25Yes185 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Daniel BernhardtCaroline (Car)RW211996-04-11Yes191 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Dustin TokarskiCaroline (Car)G281989-09-16No205 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm600,000$60,000$0$NoLien
Edward PasqualeCaroline (Car)G261990-11-20Yes210 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Felix SandstromCaroline (Car)G201997-01-12Yes191 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Graham BlackCaroline (Car)C241993-01-13Yes173 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Jaedon DescheneauCaroline (Car)RW221995-02-22Yes186 Lbs5 ft8NoNoNo2Avec RestrictionPro & Farm525,000$52,500$0$NoLien
Jan Hejda (Contrat à 1 Volet)Caroline (Car)D391978-06-18 12:40:15Yes230 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm500,000$500,000$0$NoLien
Jordan NolanCaroline (Car)LW/RW281989-06-23No219 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm1,000,000$1,000,000$0$NoLien
Juho LammikkoCaroline (Car)C/LW/RW211996-01-29Yes189 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Kevin StenlundCaroline (Car)C211996-09-20Yes205 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Lias AnderssonCaroline (Car)C181998-10-13Yes204 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm925,000$925,000$0$NoLien
Lukas VejdemoCaroline (Car)C/LW/RW211996-01-25Yes194 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Maxime LajoieCaroline (Car)D191997-11-05Yes183 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm730,000$73,000$0$NoLien
Michael KaplaCaroline (Car)D231994-09-19No200 Lbs6 ft0NoNoNo5Avec RestrictionPro & Farm1,200,000$120,000$0$NoLien
Nicholas CaamanoCaroline (Car)RW191998-09-07Yes191 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm720,000$72,000$0$NoLien
Nikita NesterovCaroline (Car)D241993-03-28No191 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm743,000$743,000$0$NoLien
Nikita SoshnikovCaroline (Car)LW/RW231993-10-14No185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm667,000$66,700$0$NoLien
Olli JuoleviCaroline (Car)D191998-05-05Yes182 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm925,000$92,500$0$NoLien
Petteri LindbohmCaroline (Car)D241993-09-23No198 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm620,000$62,000$0$NoLien
Tanner KaspickCaroline (Car)C191998-01-28Yes205 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Wade MeganCaroline (Car)C271990-07-22No191 Lbs6 ft1NoNoNo5Avec RestrictionPro & Farm1,500,000$150,000$0$NoLien
Yakov TreninCaroline (Car)C/LW201997-01-13Yes194 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm743,000$74,300$0$NoLien
Yohann AuvituCaroline (Car)D281989-07-27No187 Lbs5 ft11NoNoNo5Sans RestrictionPro & Farm2,000,000$200,000$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3422.94195 Lbs6 ft12.74842,868$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikita SoshnikovBrad Malone40122
2Yakov TreninWade MeganBrandon Gignac30122
3Beau StarrettKevin Stenlund20122
4Nikita SoshnikovBrandon GignacBrad Malone10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Yohann Auvitu40122
2Olli JuoleviPetteri Lindbohm30122
3Michael KaplaAndrew Peeke20122
4Casey Fitzgerald10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikita SoshnikovBrad Malone60122
2Yakov TreninWade MeganBrandon Gignac40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Yohann Auvitu60122
2Olli JuoleviPetteri Lindbohm40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nikita SoshnikovBrad Malone60122
2Wade Megan40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Yohann Auvitu60122
2Olli JuoleviPetteri Lindbohm40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nikita Soshnikov60122Yohann Auvitu60122
2Brad Malone40122Olli JuoleviPetteri Lindbohm40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nikita SoshnikovBrad Malone60122
2Wade Megan40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Yohann Auvitu60122
2Olli JuoleviPetteri Lindbohm40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikita SoshnikovBrad MaloneYohann Auvitu
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikita SoshnikovBrad MaloneYohann Auvitu
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alexander Dergachyov, , Kevin StenlundAlexander Dergachyov, Kevin Stenlund
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael Kapla, Andrew Peeke, Casey FitzgeraldMichael KaplaAndrew Peeke, Casey Fitzgerald
Tirs de Pénalité
Nikita Soshnikov, Brad Malone, Wade Megan, ,
Gardien
#1 : , #2 :


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
1Admirals2010001069-31010000026-41000001043120.500610160096887777981485579263803114538337.50%7271.43%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
2Baby Hawks211000008711010000045-11100000042220.500816240096887776081485579263983328405120.00%9188.89%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
3Bears411000021620-42100000198120100001712-540.5001629450096887771188148557926316941359020210.00%16756.25%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
4Bruins321000001091211000007701100000032140.6671020301096887771118148557926310420266311436.36%11281.82%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
5Cabaret Lady Mary Ann30200001711-41010000035-22010000146-210.16771320009688777108814855792631534744766116.67%17288.24%1983236341.60%1208302239.97%577146639.36%1623105222896531056487
6Chiefs20200000611-51010000034-11010000037-400.000611170096887776081485579263732624315120.00%9455.56%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
7Chill2020000048-41010000014-31010000034-100.00046100096887776281485579263702418425120.00%9366.67%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
8Comets20200000614-81010000048-41010000026-400.000611170096887776281485579263831734379333.33%17476.47%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
9Cougars30300000717-1020200000613-71010000014-300.0007142100968877798814855792631533830668225.00%15286.67%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
10Crunch31200000912-32110000089-11010000013-220.3339172600968877787814855792637823405718211.11%18477.78%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
11Heat21100000710-3110000004311010000037-420.500712190096887774581485579263541633369111.11%14285.71%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
12Jayhawks20200000612-61010000035-21010000037-400.000612180096887774681485579263841930525240.00%14471.43%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
13Las Vegas21100000770110000002111010000056-120.500714210096887775081485579263602110516233.33%40100.00%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
14Manchots41100020161512010001078-12100001097260.750162541009688777124814855792631192852742400.00%20860.00%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
15Marlies30300000717-1020200000610-41010000017-600.00071219009688777908148557926311934245520315.00%12650.00%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
16Minnesota2100010010911000010034-11100000075230.7501018280096887777781485579263742430406233.33%15286.67%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
17Monarchs20100001711-41000000156-11010000025-310.2507132000968877765814855792638921354311327.27%15566.67%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
18Monsters422000001522-721100000913-42110000069-340.5001528430096887771198148557926315857438710220.00%18666.67%1983236341.60%1208302239.97%577146639.36%1623105222896531056487
19Monsters20200000312-91010000027-51010000015-400.0003690096887774381485579263941831419222.22%13376.92%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
20Oceanics20200000414-101010000027-51010000027-500.000481200968877750814855792631062329285120.00%12283.33%2983236341.60%1208302239.97%577146639.36%1623105222896531056487
21Oil Kings20100100611-51010000037-41000010034-110.250611170096887776681485579263671724534125.00%11190.91%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
22Phantoms412000101418-42110000058-320100010910-140.500142438009688777878148557926315133547913430.77%26773.08%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
23Rocket33000000151051100000042222000000118361.000152540009688777102814855792638033235916637.50%9366.67%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
24Senators31200000121201010000045-12110000087120.33312233500968877779814855792631313536648225.00%17288.24%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
25Sharks20200000615-91010000035-210100000310-700.0006111700968877771814855792631213752568112.50%17947.06%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
26Sound Tigers422000001222-1021100000511-621100000711-440.5001224360096887771238148557926316958328421523.81%16662.50%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
27Spiders403001001023-132010010038-520200000715-810.1251020300096887771138148557926318546347616212.50%16287.50%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
28Stars2010000126-41000000112-11010000014-310.25022400968877747814855792636126164810110.00%8187.50%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
29Thunder312000001012-21010000015-42110000097220.333101727009688777768148557926310834325610110.00%15473.33%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
Total82205000345265397-1324192600213125197-7241112400132140200-60560.341265482747109688777249381485579263329092196517423196420.06%42110874.35%4983236341.60%1208302239.97%577146639.36%1623105222896531056487
31Wolf Pack413000001721-420200000611-5211000001110120.25017304700968877717581485579263199415210513323.08%21480.95%0983236341.60%1208302239.97%577146639.36%1623105222896531056487
_Since Last GM Reset82205000345265397-1324192600213125197-7241112400132140200-60560.341265482747109688777249381485579263329092196517423196420.06%42110874.35%4983236341.60%1208302239.97%577146639.36%1623105222896531056487
_Vs Conference328200020299149-5016410001015075-2516410001014974-25200.313991822810096887779518148557926312123583976871162723.28%1733380.92%1983236341.60%1208302239.97%577146639.36%1623105222896531056487

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8256W126548274724933290921965174210
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8220500345265397
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
419260213125197
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4111240132140200
Derniers 10 Matchs
WLOTWOTL SOWSOL
420202
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3196420.06%42110874.35%4
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
814855792639688777
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
983236341.60%1208302239.97%577146639.36%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1623105222896531056487


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 - 2018-10-048Sound Tigers8Caroline1LSommaire du Match
3 - 2018-10-0515Caroline4Monsters3WSommaire du Match
5 - 2018-10-0729Wolf Pack8Caroline4LSommaire du Match
7 - 2018-10-0937Comets8Caroline4LSommaire du Match
11 - 2018-10-1360Caroline7Minnesota5WSommaire du Match
12 - 2018-10-1473Caroline2Oceanics7LSommaire du Match
14 - 2018-10-1682Caroline5Thunder2WSommaire du Match
18 - 2018-10-20103Monsters7Caroline2LSommaire du Match
20 - 2018-10-22119Caroline1Cougars4LSommaire du Match
24 - 2018-10-26146Sharks5Caroline3LSommaire du Match
26 - 2018-10-28161Sound Tigers3Caroline4WSommaire du Match
28 - 2018-10-30169Bruins2Caroline4WSommaire du Match
31 - 2018-11-02194Caroline3Jayhawks7LSommaire du Match
32 - 2018-11-03203Caroline5Las Vegas6LSommaire du Match
35 - 2018-11-06221Caroline3Chiefs7LSommaire du Match
37 - 2018-11-08233Caroline4Baby Hawks2WSommaire du Match
39 - 2018-11-10250Cougars5Caroline3LSommaire du Match
41 - 2018-11-12261Baby Hawks5Caroline4LSommaire du Match
46 - 2018-11-17298Monsters4Caroline5WSommaire du Match
47 - 2018-11-18304Spiders5Caroline1LSommaire du Match
50 - 2018-11-21323Marlies5Caroline3LSommaire du Match
52 - 2018-11-23342Cabaret Lady Mary Ann5Caroline3LSommaire du Match
53 - 2018-11-24353Caroline2Sound Tigers7LSommaire du Match
56 - 2018-11-27369Caroline6Rocket4WSommaire du Match
59 - 2018-11-30392Admirals6Caroline2LSommaire du Match
61 - 2018-12-02412Caroline2Monarchs5LSommaire du Match
64 - 2018-12-05428Caroline3Sharks10LSommaire du Match
66 - 2018-12-07443Caroline4Admirals3WXXSommaire du Match
70 - 2018-12-11468Marlies5Caroline3LSommaire du Match
72 - 2018-12-13481Caroline5Rocket4WSommaire du Match
73 - 2018-12-14491Bears3Caroline5WSommaire du Match
75 - 2018-12-16506Jayhawks5Caroline3LSommaire du Match
79 - 2018-12-20534Cougars8Caroline3LSommaire du Match
81 - 2018-12-22555Manchots5Caroline3LSommaire du Match
82 - 2018-12-23560Bruins5Caroline3LSommaire du Match
86 - 2018-12-27570Caroline2Bears6LSommaire du Match
88 - 2018-12-29583Caroline4Spiders8LSommaire du Match
90 - 2018-12-31603Phantoms7Caroline3LSommaire du Match
93 - 2019-01-03625Caroline3Phantoms5LSommaire du Match
94 - 2019-01-04631Monsters9Caroline4LSommaire du Match
96 - 2019-01-06645Caroline5Senators3WSommaire du Match
98 - 2019-01-08659Caroline5Sound Tigers4WSommaire du Match
100 - 2019-01-10676Caroline4Thunder5LSommaire du Match
101 - 2019-01-11683Crunch6Caroline1LSommaire du Match
103 - 2019-01-13699Chill4Caroline1LSommaire du Match
105 - 2019-01-15712Caroline6Wolf Pack8LSommaire du Match
108 - 2019-01-18736Senators5Caroline4LSommaire du Match
110 - 2019-01-20755Caroline3Oil Kings4LXSommaire du Match
112 - 2019-01-22763Caroline3Heat7LSommaire du Match
113 - 2019-01-23770Caroline2Comets6LSommaire du Match
122 - 2019-02-01787Las Vegas1Caroline2WSommaire du Match
124 - 2019-02-03804Heat3Caroline4WSommaire du Match
126 - 2019-02-05813Caroline5Manchots4WXXSommaire du Match
128 - 2019-02-07823Caroline1Crunch3LSommaire du Match
129 - 2019-02-08837Caroline5Wolf Pack2WSommaire du Match
131 - 2019-02-10856Caroline3Spiders7LSommaire du Match
133 - 2019-02-12867Caroline3Senators4LSommaire du Match
136 - 2019-02-15889Oil Kings7Caroline3LSommaire du Match
137 - 2019-02-16899Stars2Caroline1LXXSommaire du Match
140 - 2019-02-19919Wolf Pack3Caroline2LSommaire du Match
142 - 2019-02-21930Caroline3Cabaret Lady Mary Ann4LXXSommaire du Match
144 - 2019-02-23948Caroline1Stars4LSommaire du Match
147 - 2019-02-26972Monarchs6Caroline5LXXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2019-03-01995Chiefs4Caroline3LSommaire du Match
151 - 2019-03-021005Caroline1Cabaret Lady Mary Ann2LSommaire du Match
154 - 2019-03-051019Caroline3Bruins2WSommaire du Match
157 - 2019-03-081046Oceanics7Caroline2LSommaire du Match
158 - 2019-03-091057Caroline3Chill4LSommaire du Match
160 - 2019-03-111070Caroline1Monsters5LSommaire du Match
164 - 2019-03-151094Caroline2Monsters6LSommaire du Match
165 - 2019-03-161107Crunch3Caroline7WSommaire du Match
168 - 2019-03-191126Manchots3Caroline4WXXSommaire du Match
170 - 2019-03-211138Thunder5Caroline1LSommaire du Match
172 - 2019-03-231158Minnesota4Caroline3LXSommaire du Match
173 - 2019-03-241166Rocket2Caroline4WSommaire du Match
175 - 2019-03-261178Caroline5Bears6LXXSommaire du Match
177 - 2019-03-281190Bears5Caroline4LXXSommaire du Match
179 - 2019-03-301203Phantoms1Caroline2WSommaire du Match
180 - 2019-03-311217Caroline4Manchots3WSommaire du Match
182 - 2019-04-021231Caroline1Marlies7LSommaire du Match
184 - 2019-04-041247Spiders3Caroline2LXSommaire du Match
186 - 2019-04-061263Caroline6Phantoms5WXXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3212
Assistance61,91431,284
Assistance PCT75.50%76.30%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2273 - 75.77% 57,479$2,356,656$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,911,683$ 4,951,950$ 4,951,950$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
26,481$ 2,911,683$ 34 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 26,481$ 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
201882205000345265397-1324192600213125197-7241112400132140200-6056265482747109688777249381485579263329092196517423196420.06%42110874.35%4983236341.60%1208302239.97%577146639.36%1623105222896531056487
Total Saison Régulière82205000345265397-1324192600213125197-7241112400132140200-6056265482747109688777249381485579263329092196517423196420.06%42110874.35%4983236341.60%1208302239.97%577146639.36%1623105222896531056487