Caroline

GP: 82 | W: 36 | L: 40 | OTL: 6 | P: 78
GF: 301 | GA: 319 | PP%: 21.03% | PK%: 75.76%
DG: Olivier Pinho | Morale : 50 | Moyenne d'Équipe : 58
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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 Moyen
1Colin WilsonXXX100.007243987980645873397157644276790506502912,300,000$
2Antoine RousselX100.007760668172627166426467637572730506402962,000,000$
3Mark LetestuX100.006746977069635756775256767371730506103412,500,000$
4Gabriel BourqueXX100.00884594757253715633575565416971050600292850,000$
5Joe Gambardella (R)XX100.00777192637172756176556365604444050600252450,000$
6Lias AnderssonXX100.00774688787056715756555473255151050600202925,000$
7Yakov TreninX100.00837386637657815858605667254545050590223900,000$
8Kole LindX100.00686671676671736350635961564444050590202891,666$
9Lukas VejdemoXXX100.00777287647272775670505764544444050580234700,000$
10Mario Ferraro (R)X100.00854485806768686125514871255151050640214925,001$
11Martin MarincinX100.007250856680655462274947797564640506302721,400,000$
12Radim SimekX100.008347916672706359285046752555550506302752,000,000$
13Brad HuntX100.006041957765666872255354582563630506103141,625,000$
14Noah Dobson (R)X100.00694291807162636925534859254747050600194894,170$
15Christian WolaninX100.00706283797059595133364563415757050590241650,000$
16Andreas BorgmanX100.00746877677064665025434062385555050580242925,000$
Rayé
1Magnus PaajarviXX100.00553591727259674849425575475850050570283875,000$
2Ross JohnstonX100.00929943689251495526555764254848050570253850,000$
3Anton BlidhXX100.00657339697366625650406362675757050570241792,000$
4Nicholas CaamanoX100.00794489637255785444585864254545050570202720,000$
5Brandon GignacXX100.00716486636364695265544963465555050560212742,500$
6Paul BittnerX100.00807982688065705150495164484444050560221825,000$
7Tanner KaspickX100.00777583657568735063474762454444050550212650,000$
8Deven SideroffX100.00746592546351485250474863485252050520221700,000$
9Juho Lammikko (R)XXX100.00543589706548384175473371473532050490234700,000$
10Michael KaplaX100.007671885873626051254740663944440505702531,200,000$
11Robin Salo (R)X100.00494490686767865325484850505858050560204700,000$
12Casey Fitzgerald (R)X100.00676767616754564925424157394444050530222700,000$
MOYENNE D'ÉQUIPE100.0073588369726265574451526544535305058
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
1Adam Werner (R)100.0057597473596151605857304444050580
2Michal Neuvirth100.0047457378454545434488875954050530
Rayé
MOYENNE D'ÉQUIPE100.005252747652534852517359524905056
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
1Mark LetestuCaroline (Car)C8236589410200952474291193198.39%52152618.62720279721900071085160.53%194600001.2301000476
2Radim SimekCaroline (Car)D82197594-7735300131257871597.39%190199024.2841115902380222140310.00%000000.9400010648
3Colin WilsonCaroline (Car)C/LW/RW82276289-18120502083801112737.11%38172821.08617236922410151733242.64%53700001.0327000433
4Antoine RousselCaroline (Car)LW82434285-18582027421241813433710.29%36172421.03912218522600041561149.29%14000000.9917220664
5Kole LindCaroline (Car)RW824436805621019313936610425912.02%20136516.6513102389207000007441.18%10200011.1700101835
6Brad HuntCaroline (Car)D82134659-22807880149531198.72%95162719.8571320691740001114210.00%000000.7300000132
7Noah DobsonCaroline (Car)D8294958-2636020972156501055.77%134167320.4061117661900001127110.00%000000.6900000021
8Gabriel BourqueCaroline (Car)LW/RW82153550-7420141131280771975.36%24105012.812359360003622045.16%12400000.9500000213
9Joe GambardellaCaroline (Car)C/LW82232245-3311571170263832008.75%1797111.850003110001383157.20%107000000.9300201134
10Lukas VejdemoCaroline (Car)C/LW/RW82191433-7472511281223611568.52%226998.5300011000063154.55%8800000.9400211012
11Christian WolaninCaroline (Car)D825283364151035111540734.35%98129515.800111147000161100.00%000000.5100001110
12Andreas BorgmanCaroline (Car)D8252530117715165666121398.20%71116614.230000300006200.00%000000.5100012011
13Yakov TreninCaroline (Car)C3612122421805774115246510.43%864017.8023517105000000150.66%91600010.7500000041
14Lias AnderssonCaroline (Car)C/LW3110515520185064154615.63%62778.9600001011090155.76%33000001.0800000011
15Mario FerraroCaroline (Car)D1749132100592640102410.00%2740623.922131757000045010.00%000100.6400000022
16Nicholas CaamanoCaroline (Car)RW13437420961952321.05%21078.2700000000000160.00%500001.3000000100
17Martin MarincinCaroline (Car)D102243751182031210.00%1423123.19000628101124000.00%000000.3400001100
Stats d'équipe Total ou en Moyenne1091290523813-6054610019451752335599724068.64%8541848516.94581021606291775235261075331754.87%525800120.88315757354243
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
1Michal NeuvirthCaroline (Car)72313640.8923.96421310027825630330.500127282100
2Adin HillCaroline128220.9322.3474320294290000.70617120101
Stats d'équipe Total ou en Moyenne84393860.8973.72495612030729920330.621298482201


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
Adam WernerCaroline (Car)G241995-01-01Yes200 Lbs6 ft0NoNoNo2Pro & Farm525,000$52,500$0$No525,000$Lien
Andreas BorgmanCaroline (Car)D241995-06-18No191 Lbs6 ft0NoNoNo2Pro & Farm925,000$92,500$0$No925,000$Lien
Antoine RousselCaroline (Car)LW291989-11-20No195 Lbs6 ft0NoNoNo6Pro & Farm2,000,000$200,000$0$No2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$Lien
Anton BlidhCaroline (Car)LW/RW241995-03-14No201 Lbs6 ft0NoNoNo1Pro & Farm792,000$79,200$0$NoLien
Brad HuntCaroline (Car)D311988-08-23No187 Lbs5 ft9NoNoNo4Pro & Farm750,000$162,500$0$No750,000$750,000$500,000$Lien
Brandon GignacCaroline (Car)C/LW211997-11-07No173 Lbs5 ft11NoNoNo2Pro & Farm742,500$74,250$0$No742,500$Lien
Casey FitzgeraldCaroline (Car)D221997-02-25Yes185 Lbs5 ft11NoNoNo2Pro & Farm700,000$70,000$0$No700,000$Lien
Christian WolaninCaroline (Car)D241995-03-17No185 Lbs6 ft2NoNoNo1Pro & Farm650,000$65,000$0$NoLien
Colin WilsonCaroline (Car)C/LW/RW291989-10-20No221 Lbs6 ft1NoNoNo1Pro & Farm2,300,000$230,000$0$NoLien
Deven SideroffCaroline (Car)RW221997-04-14No171 Lbs5 ft11NoNoNo1Pro & Farm700,000$70,000$0$NoLien
Gabriel BourqueCaroline (Car)LW/RW291990-09-23No206 Lbs5 ft10NoNoNo2Pro & Farm850,000$85,000$0$No850,000$Lien
Joe GambardellaCaroline (Car)C/LW251993-12-01Yes201 Lbs5 ft10NoNoNo2Pro & Farm450,000$45,000$0$No450,000$Lien
Juho LammikkoCaroline (Car)C/LW/RW231996-01-29Yes191 Lbs6 ft2NoNoNo4Pro & Farm700,000$70,000$0$No700,000$700,000$700,000$Lien
Kole LindCaroline (Car)RW201998-10-16No178 Lbs6 ft1NoNoNo2Pro & Farm891,666$89,167$0$No891,666$Lien
Lias AnderssonCaroline (Car)C/LW201998-10-13No198 Lbs5 ft11NoNoNo2Pro & Farm925,000$92,500$0$No925,000$Lien
Lukas VejdemoCaroline (Car)C/LW/RW231996-01-25No194 Lbs6 ft2NoNoNo4Pro & Farm700,000$70,000$0$No700,000$700,000$700,000$Lien
Magnus PaajarviCaroline (Car)LW/RW281991-04-12No206 Lbs6 ft3NoNoNo3Pro & Farm875,000$87,500$0$No875,000$875,000$Lien
Mario FerraroCaroline (Car)D211998-09-17Yes185 Lbs5 ft11NoNoNo4Pro & Farm925,001$925,001$0$No925,001$925,001$925,001$Lien
Mark LetestuCaroline (Car)C341985-02-03No195 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$250,000$0$NoLien
Martin MarincinCaroline (Car)D271992-02-18No210 Lbs6 ft4NoNoNo2Pro & Farm1,400,000$140,000$0$No1,400,000$Lien
Michael KaplaCaroline (Car)D251994-09-19No200 Lbs6 ft0NoNoNo3Pro & Farm1,200,000$120,000$0$No1,200,000$1,200,000$Lien
Michal NeuvirthCaroline (Car)G311988-03-23No209 Lbs6 ft1NoNoNo4Pro & Farm2,500,000$251,000$0$No2,000,000$2,000,000$2,000,000$Lien
Nicholas CaamanoCaroline (Car)RW201998-10-07No194 Lbs6 ft2NoNoNo2Pro & Farm720,000$72,000$0$No720,000$Lien
Noah DobsonCaroline (Car)D192000-01-07Yes183 Lbs6 ft4NoNoNo4Pro & Farm894,170$89,417$0$No894,170$894,170$894,170$Lien
Paul BittnerCaroline (Car)LW221996-11-03No214 Lbs6 ft4NoNoNo1Pro & Farm825,000$82,500$0$NoLien
Radim SimekCaroline (Car)D271992-09-20No205 Lbs5 ft10NoNoNo5Pro & Farm2,000,000$200,000$0$No2,000,000$2,000,000$2,000,000$2,000,000$Lien
Robin SaloCaroline (Car)D201998-10-13Yes185 Lbs6 ft0NoNoNo4Pro & Farm700,000$70,000$0$No700,000$700,000$700,000$Lien
Ross JohnstonCaroline (Car)LW251994-02-18No235 Lbs6 ft5NoNoNo3Pro & Farm850,000$85,000$0$No850,000$850,000$Lien
Tanner KaspickCaroline (Car)C211998-01-28No205 Lbs6 ft1NoNoNo2Pro & Farm650,000$65,000$0$No650,000$Lien
Yakov TreninCaroline (Car)C221997-01-13No201 Lbs6 ft2NoNoNo3Pro & Farm900,000$90,000$0$No900,000$900,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3024.40197 Lbs6 ft12.631,001,345$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Antoine RousselColin Wilson40122
2Mark LetestuKole Lind30122
3Gabriel BourqueJoe Gambardella20122
4Lukas Vejdemo10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Radim Simek40122
2Brad HuntNoah Dobson30122
3Christian WolaninAndreas Borgman20122
4Radim Simek10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Antoine RousselColin Wilson60122
2Mark LetestuKole Lind40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Radim Simek60122
2Brad HuntNoah Dobson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Colin WilsonAntoine Roussel60122
2Mark Letestu40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Radim Simek60122
2Brad HuntNoah Dobson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Colin Wilson60122Radim Simek60122
2Mark Letestu40122Brad HuntNoah Dobson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Colin WilsonAntoine Roussel60122
2Mark Letestu40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Radim Simek60122
2Brad HuntNoah Dobson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Antoine RousselColin WilsonRadim Simek
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Antoine RousselColin WilsonRadim Simek
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gabriel Bourque, Joe Gambardella, Gabriel Bourque, Joe GambardellaGabriel Bourque
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Noah Dobson, Christian Wolanin, Andreas BorgmanNoah DobsonNoah Dobson, Christian Wolanin
Tirs de Pénalité
Colin Wilson, Antoine Roussel, , Mark Letestu, Gabriel Bourque
Gardien
#1 : , #2 : Michal Neuvirth


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
1Admirals2020000047-31010000024-21010000023-100.00046100012493816741103112511694564181048600.00%4250.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
2Baby Hawks210000019721000000145-11100000052330.7509172600124938168811031125116945772665213430.77%3166.67%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
3Bears413000001114-320200000510-52110000064220.250112233001249381616511031125116945166461810618422.22%90100.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
4Bruins31200000711-41010000026-42110000055020.3337111800124938161141103112511694510738425910220.00%11463.64%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
5Cabaret Lady Mary Ann31100010171342100001014951010000034-140.6671729460012493816193110311251169451255310795240.00%40100.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
6Chiefs20200000312-91010000024-21010000018-700.0003581012493816661103112511694585218546116.67%4175.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
7Chill2020000037-41010000013-21010000024-200.00035800124938165911031125116945772117569111.11%4250.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
8Comets220000001183110000007611100000042241.0001119300012493816761103112511694580228524125.00%330.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
9Cougars30300000813-51010000024-22020000069-300.000814220012493816112110311251169451002924721100.00%12375.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
10Crunch3210000014122110000007612110000076140.66714243800124938161501103112511694512240186112325.00%9277.78%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
11Heat22000000936110000004221100000051441.000917260012493816108110311251169456014856400.00%30100.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
12Jayhawks2020000069-31010000045-11010000024-200.00061117001249381676110311251169455616262300.00%10100.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
13Las Vegas2020000058-31010000035-21010000023-100.00059141012493816731103112511694580151239100.00%5260.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
14Manchots42200000171612200000084420200000912-340.50017314800124938161381103112511694516657288310110.00%13376.92%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
15Marlies30200001913-41010000035-22010000168-210.167914230012493816103110311251169459027265511218.18%80100.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
16Minnesota2100000112102110000007431000000156-130.750122234001249381613011031125116945821719536233.33%7185.71%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
17Monarchs2110000056-11010000016-51100000040420.500581301124938168411031125116945842012523133.33%60100.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
18Monsters4220000013121220000007432020000068-240.50013253800124938161541103112511694512528351001100.00%14378.57%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
19Monsters211000007521010000013-21100000062420.50071421001249381679110311251169455813205014214.29%4175.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
20Oceanics20200000310-71010000016-51010000024-200.00035800124938165411031125116945872912387114.29%5180.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
21Oil Kings20101000710-3100010005411010000026-420.5007111800124938169111031125116945872025429333.33%6350.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
22Phantoms412001001418-420100100810-22110000068-230.37514243800124938161761103112511694516153168216318.75%7271.43%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
23Rocket32100000111102110000078-11100000043140.6671122330012493816112110311251169459224147415320.00%7185.71%11556310150.18%1247266346.83%679141348.05%2092150718435661026523
24Senators311000011517-2211000001112-11000000145-130.50015284310124938161471103112511694514134258510330.00%4250.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
25Sharks21000001770110000004311000000134-130.7507132000124938167711031125116945672616456116.67%8362.50%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
26Sound Tigers4310000021156220000001147211000001011-160.75021385900124938161821103112511694512534358415746.67%8187.50%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
27Spiders412000101016-62100001075220200000311-840.50010152500124938161391103112511694515640258010110.00%8187.50%11556310150.18%1247266346.83%679141348.05%2092150718435661026523
28Stars2110000068-2110000003211010000036-320.5006111700124938168111031125116945962217584250.00%5180.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
29Thunder321000001596211000006601100000093640.667152843101249381612811031125116945642137537114.29%11463.64%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
Total82334001125301319-1841191701121156160-441142300004145159-14780.4763015378384112493816342211031125116945298786656519172715721.03%1984875.76%21556310150.18%1247266346.83%679141348.05%2092150718435661026523
30Wolf Pack440000002212102200000095422000000137681.00022396100124938161931103112511694510742208715640.00%5180.00%01556310150.18%1247266346.83%679141348.05%2092150718435661026523
_Since Last GM Reset82334001125301319-1841191701121156160-441142300004145159-14780.4763015378384112493816342211031125116945298786656519172715721.03%1984875.76%21556310150.18%1247266346.83%679141348.05%2092150718435661026523
_Vs Conference32131501012125129-4167601011706731669000015562-7320.500125225350201249381614351103112511694512003321918041072321.50%731973.97%11556310150.18%1247266346.83%679141348.05%2092150718435661026523

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8278L130153783834222987866565191741
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8233401125301319
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119171121156160
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4114230004145159
Derniers 10 Matchs
WLOTWOTL SOWSOL
370000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2715721.03%1984875.76%2
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
1103112511694512493816
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
1556310150.18%1247266346.83%679141348.05%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2092150718435661026523


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 - 2020-10-238Rocket2Caroline3WSommaire du Match
4 - 2020-10-2523Caroline4Bears1WSommaire du Match
5 - 2020-10-2631Thunder4Caroline2LSommaire du Match
7 - 2020-10-2836Caroline3Cabaret Lady Mary Ann4LSommaire du Match
10 - 2020-10-3160Sound Tigers3Caroline4WSommaire du Match
11 - 2020-11-0169Monsters1Caroline2WSommaire du Match
14 - 2020-11-0491Caroline4Monarchs0WSommaire du Match
15 - 2020-11-0597Caroline3Sharks4LXXSommaire du Match
17 - 2020-11-07112Caroline2Admirals3LSommaire du Match
23 - 2020-11-13148Caroline2Monsters3LSommaire du Match
25 - 2020-11-15161Baby Hawks5Caroline4LXXSommaire du Match
28 - 2020-11-18183Heat2Caroline4WSommaire du Match
31 - 2020-11-21199Cougars4Caroline2LSommaire du Match
32 - 2020-11-22211Spiders2Caroline3WSommaire du Match
35 - 2020-11-25226Caroline2Phantoms5LSommaire du Match
37 - 2020-11-27241Wolf Pack1Caroline4WSommaire du Match
39 - 2020-11-29256Caroline4Senators5LXXSommaire du Match
41 - 2020-12-01271Senators5Caroline6WSommaire du Match
44 - 2020-12-04286Caroline4Crunch2WSommaire du Match
46 - 2020-12-06299Caroline5Minnesota6LXXSommaire du Match
49 - 2020-12-09326Caroline5Baby Hawks2WSommaire du Match
51 - 2020-12-11336Phantoms6Caroline5LXSommaire du Match
53 - 2020-12-13357Cabaret Lady Mary Ann6Caroline7WXXSommaire du Match
54 - 2020-12-14363Caroline3Cougars4LSommaire du Match
57 - 2020-12-17381Caroline5Wolf Pack2WSommaire du Match
59 - 2020-12-19401Chill3Caroline1LSommaire du Match
60 - 2020-12-20408Caroline9Thunder3WSommaire du Match
63 - 2020-12-23424Caroline3Bruins2WSommaire du Match
65 - 2020-12-25443Sharks3Caroline4WSommaire du Match
67 - 2020-12-27459Minnesota4Caroline7WSommaire du Match
70 - 2020-12-30479Caroline2Oil Kings6LSommaire du Match
72 - 2021-01-01496Caroline4Comets2WSommaire du Match
74 - 2021-01-03504Caroline5Heat1WSommaire du Match
77 - 2021-01-06530Caroline2Oceanics4LSommaire du Match
79 - 2021-01-08544Caroline6Monsters2WSommaire du Match
81 - 2021-01-10560Cabaret Lady Mary Ann3Caroline7WSommaire du Match
83 - 2021-01-12569Caroline3Marlies4LSommaire du Match
87 - 2021-01-16584Caroline8Wolf Pack5WSommaire du Match
88 - 2021-01-17598Bears4Caroline3LSommaire du Match
91 - 2021-01-20618Rocket6Caroline4LSommaire du Match
94 - 2021-01-23639Bears6Caroline2LSommaire du Match
96 - 2021-01-25655Thunder2Caroline4WSommaire du Match
98 - 2021-01-27668Phantoms4Caroline3LSommaire du Match
101 - 2021-01-30690Jayhawks5Caroline4LSommaire du Match
102 - 2021-01-31697Monarchs6Caroline1LSommaire du Match
104 - 2021-02-02712Caroline2Bears3LSommaire du Match
107 - 2021-02-05733Caroline4Monsters5LSommaire du Match
108 - 2021-02-06741Admirals4Caroline2LSommaire du Match
110 - 2021-02-08756Sound Tigers1Caroline7WSommaire du Match
112 - 2021-02-10764Oceanics6Caroline1LSommaire du Match
122 - 2021-02-20788Las Vegas5Caroline3LSommaire du Match
124 - 2021-02-22808Comets6Caroline7WSommaire du Match
126 - 2021-02-24820Caroline1Chiefs8LSommaire du Match
128 - 2021-02-26838Caroline2Jayhawks4LSommaire du Match
130 - 2021-02-28854Caroline2Las Vegas3LSommaire du Match
133 - 2021-03-03873Caroline3Stars6LSommaire du Match
136 - 2021-03-06894Spiders3Caroline4WXXSommaire du Match
138 - 2021-03-08908Oil Kings4Caroline5WXSommaire du Match
140 - 2021-03-10925Caroline2Chill4LSommaire du Match
143 - 2021-03-13942Wolf Pack4Caroline5WSommaire du Match
144 - 2021-03-14951Caroline3Marlies4LXXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
147 - 2021-03-17974Stars2Caroline3WSommaire du Match
150 - 2021-03-20996Monsters3Caroline1LSommaire du Match
151 - 2021-03-211004Caroline4Rocket3WSommaire du Match
156 - 2021-03-261037Caroline4Phantoms3WSommaire du Match
158 - 2021-03-281049Caroline4Sound Tigers7LSommaire du Match
159 - 2021-03-291059Caroline5Manchots6LSommaire du Match
161 - 2021-03-311074Caroline3Cougars5LSommaire du Match
163 - 2021-04-021086Caroline1Spiders7LSommaire du Match
165 - 2021-04-041104Manchots2Caroline4WSommaire du Match
166 - 2021-04-051113Caroline3Crunch4LSommaire du Match
168 - 2021-04-071126Crunch6Caroline7WSommaire du Match
170 - 2021-04-091140Chiefs4Caroline2LSommaire du Match
172 - 2021-04-111158Senators7Caroline5LSommaire du Match
173 - 2021-04-121166Caroline6Sound Tigers4WSommaire du Match
175 - 2021-04-141180Caroline4Manchots6LSommaire du Match
177 - 2021-04-161195Marlies5Caroline3LSommaire du Match
179 - 2021-04-181205Manchots2Caroline4WSommaire du Match
180 - 2021-04-191219Caroline2Spiders4LSommaire du Match
182 - 2021-04-211232Bruins6Caroline2LSommaire du Match
185 - 2021-04-241255Monsters3Caroline5WSommaire du Match
186 - 2021-04-251260Caroline2Bruins3LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3212
Assistance78,29040,125
Assistance PCT95.48%97.87%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2888 - 96.27% 72,848$2,986,780$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,061,266$ 3,836,535$ 4,075,035$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
21,909$ 3,301,076$ 30 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 20,627$ 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