Chiefs

GP: 82 | W: 50 | L: 23 | OTL: 9 | P: 109
GF: 298 | GA: 228 | PP%: 20.82% | PK%: 81.68%
DG: Ricky Doyon | Morale : 50 | Moyenne d'Équipe : 55
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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
1Henrik BorgstromXX100.00787193847176815873525866554949050620222925,000$
2Max JonesX100.00794482737667876338576666255555050620212925,000$
3Eetu Luostarinen (R)X100.00726785776770735974585662534444050600214897,501$
4Eeli TolvanenXX100.00756890676876806050526364604444050600202925,000$
5Dmitry SokolovXX100.00837893627866685850476567624444050590212525,000$
6Adam BrooksX100.00706684636367666277576063594444050580232742,500$
7Gerald MayhewXX100.00724990626264846250516458255353050580261560,000$
8Kirill Maksimov (R)X100.00787781677769755050474763454444050560202675,000$
9Lukas RadilXX100.00764483647754645833505558254849050550292675,000$
10Max VeronneauX100.00766796646759615350475363504545050550233925,000$
11Stelio MattheosX100.00787291557262645550495764544444050550203809,166$
12German RubtsovX100.00726785716756585265534660444444050540212925,000$
13Pascal LabergeX100.00706582646552515670466160584444050540212842,500$
14Jonathan EricssonX100.008046897183676058254046762575790506503513,312,890$
15Erik BrannstromX100.00654184836265726925504766254747050610203925,000$
16Noel Hoefenmayer (R)X100.00595462696974955925575058535454050600204525,000$
17Olli JuoleviX100.00746984686954545425544062384444050560212925,000$
18David Quenneville (R)X100.00706485636457604925424058384444050540212595,000$
Rayé
1Quinton HowdenXX100.00493585656344314235374564454136050470272850,000$
2Alexei Lipanov (R)X100.00484287656457774050324042425454050470201601,000$
3Curtis HamiltonX100.00413530627435252935292961433532050410272675,000$
4Pius Suter (R)X100.00394545455036363945393945423230050400231825,000$
5Dean KukanX100.006845896870665463255147602559600505902600$
6Jakub JerabekX100.00463586666446344335434366473734050510282925,000$
7Josh Teves (R)X100.00696479616451534425333957374444050510242775,000$
MOYENNE D'ÉQUIPE100.0067568266686063534447506143474605055
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
1Eric Comrie100.0060658465626456635958304444050590
2Andrew Shortridge (R)100.0046536678424550534546304444050500
Rayé
MOYENNE D'ÉQUIPE100.005359757252555358525230444405055
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
1Henrik BorgstromChiefs (Stl)C/LW742966953849251202903161052359.18%21176423.85415195320400052382259.29%226000101.08412212546
2Max JonesChiefs (Stl)LW774245873438020716839811730310.55%26176222.90712196721000052216136.27%40800010.99213000866
3Jonathan EricssonChiefs (Stl)D82205070413801251142007314010.00%129197124.0471623832300001206330.00%000000.7100000546
4Eetu LuostarinenChiefs (Stl)C8120456512260135226303802236.60%19164320.29314175121900031171257.49%196200000.7928000524
5Eeli TolvanenChiefs (Stl)LW/RW8225396427395117107333722097.51%12159319.4331013612310003894242.86%18200100.8016100282
6Dmitry SokolovChiefs (Stl)LW/RW7428356344723015884290851989.66%13132717.94314341060111275244.74%11400010.9500132336
7Alex BiegaSt-LouisD6811425328640199101159541046.92%84164424.186915611990001174110.00%000000.6400000323
8Gerald MayhewChiefs (Stl)C/RW82213152132609980237731578.86%14138516.89167391441012206148.08%41600000.7500000332
9Erik BrannstromChiefs (Stl)D781238500380105132187611276.42%126170121.827512841930003191200.00%000000.5900000212
10Adam BrooksChiefs (Stl)C82212849732061176228541689.21%32122414.94011380002513157.33%108500000.8012000216
11Cedric PareSt-LouisC/LW/RW77202747266031105211691589.48%12154520.0765113720100041024256.63%36200000.6129000203
12Olli JuoleviChiefs (Stl)D823313416520176566622434.55%103131916.091121161000053100.00%000000.5200000321
13Noel HoefenmayerChiefs (Stl)D82121931-257516069117356610.26%96174521.296814552080001198130.00%000000.3600000131
14Kirill MaksimovChiefs (Stl)RW8291928829511288155491075.81%11113013.79011060001440048.62%10900000.5000100111
15Lukas RadilChiefs (Stl)LW/RW749162573207571153411205.88%8104414.12000118000041135.00%8000000.4800000000
16Jakub JerabekChiefs (Stl)D1665111000162451125.00%1427617.2900023000010100.00%000000.8000000011
17David QuennevilleChiefs (Stl)D5737101628069303413258.82%5890115.81000212000061000.00%000000.2200000101
18Max VeronneauChiefs (Stl)RW7063912140332244112613.64%93925.60000214000001055.88%3400000.4600000001
19German RubtsovChiefs (Stl)C7235816021372532612.00%11992.7700003000010053.72%24200000.8000000000
20Stelio MattheosChiefs (Stl)RW82538611528245219279.62%53884.74000320000002147.50%8000000.4100010110
21Pascal LabergeChiefs (Stl)C2913412061285812.50%0561.9411232000000044.23%5200001.4200000000
22Josh TevesChiefs (Stl)D3011320111030.00%35518.470000000001000.00%000000.3600000000
23Alexei LipanovChiefs (Stl)C710100000100100.00%040.681011000000100.00%000004.2100000000
24Pius SuterChiefs (Stl)C1000000000000.00%011.550000000000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne151430755886534866175203919993542104624848.67%7962508216.57561051616532304112321816452255.00%738700220.691250554474252
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
1Matt MurraySt-Louis77462280.9192.7046268220825740220.73241773754
2Eric ComrieChiefs (Stl)74110.9511.8036720112250000.7789577110
Stats d'équipe Total ou en Moyenne84502390.9222.63499410221927990220.740508280864


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 BrooksChiefs (Stl)C231996-05-06No174 Lbs5 ft11NoNoNo2Pro & Farm742,500$74,250$0$No742,500$Lien
Alexei LipanovChiefs (Stl)C201999-08-17Yes174 Lbs6 ft1YesNoNo1Pro & Farm601,000$60,100$0$NoLien
Andrew ShortridgeChiefs (Stl)G241995-04-26Yes185 Lbs6 ft4YesNoNo1Pro & Farm560,000$56,000$0$NoLien
Curtis HamiltonChiefs (Stl)LW271991-12-04No212 Lbs6 ft2NoNoNo2Pro & Farm675,000$67,500$0$No675,000$Lien
David QuennevilleChiefs (Stl)D211998-03-13Yes189 Lbs5 ft8YesNoNo2Pro & Farm595,000$59,500$0$No595,000$Lien
Dean KukanChiefs (Stl)D261993-07-08No186 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien
Dmitry SokolovChiefs (Stl)LW/RW211998-04-13No221 Lbs5 ft11NoNoNo2Pro & Farm525,000$52,500$0$No525,000$Lien
Eeli TolvanenChiefs (Stl)LW/RW201999-04-22No191 Lbs5 ft10NoNoNo2Pro & Farm925,000$92,500$0$No925,000$Lien
Eetu LuostarinenChiefs (Stl)C211998-09-02Yes179 Lbs6 ft2NoNoNo4Pro & Farm897,501$89,750$0$No897,501$897,501$897,501$Lien
Eric ComrieChiefs (Stl)G241995-07-05No175 Lbs6 ft1NoNoNo2Pro & Farm650,000$65,000$0$No650,000$Lien
Erik BrannstromChiefs (Stl)D201999-09-02No173 Lbs5 ft10NoNoNo3Pro & Farm925,000$92,500$0$No925,000$925,000$Lien
Gerald MayhewChiefs (Stl)C/RW261992-12-31No170 Lbs5 ft10YesNoNo1Pro & Farm560,000$56,000$0$NoLien
German RubtsovChiefs (Stl)C211998-06-27No178 Lbs6 ft2NoNoNo2Pro & Farm925,000$92,500$0$No925,000$Lien
Henrik BorgstromChiefs (Stl)C/LW221997-08-06No185 Lbs6 ft3NoNoNo2Pro & Farm925,000$92,500$0$No925,000$Lien
Jakub JerabekChiefs (Stl)D281991-05-12No199 Lbs5 ft11NoNoNo2Pro & Farm925,000$92,500$0$No925,000$Lien
Jonathan EricssonChiefs (Stl)D351984-03-02No220 Lbs6 ft4NoNoNo1Pro & Farm3,312,890$331,289$0$NoLien
Josh TevesChiefs (Stl)D241995-02-18Yes170 Lbs6 ft0NoNoNo2Pro & Farm775,000$77,500$0$No775,000$Lien
Kirill MaksimovChiefs (Stl)RW201999-06-01Yes207 Lbs6 ft3YesNoNo2Pro & Farm675,000$67,500$0$No675,000$Lien
Lukas RadilChiefs (Stl)LW/RW291990-08-04No201 Lbs6 ft4NoNoNo2Pro & Farm675,000$67,500$0$No675,000$Lien
Max JonesChiefs (Stl)LW211998-02-16No203 Lbs6 ft3NoNoNo2Pro & Farm925,000$92,500$0$No925,000$Lien
Max VeronneauChiefs (Stl)RW231995-12-11No181 Lbs6 ft0NoNoNo3Pro & Farm925,000$92,500$0$No925,000$925,000$Lien
Noel HoefenmayerChiefs (Stl)D201999-01-06Yes192 Lbs6 ft0NoNoNo4Pro & Farm525,000$52,500$0$No525,000$525,000$525,000$Lien
Olli JuoleviChiefs (Stl)D211998-05-04No182 Lbs6 ft2NoNoNo2Pro & Farm925,000$92,500$0$No925,000$Lien
Pascal LabergeChiefs (Stl)C211998-04-08No173 Lbs6 ft1NoNoNo2Pro & Farm842,500$84,250$0$No842,500$Lien
Pius SuterChiefs (Stl)C231996-05-24Yes170 Lbs5 ft11NoNoNo1Pro & Farm825,000$82,500$0$NoLien
Quinton HowdenChiefs (Stl)C/LW271992-01-21No189 Lbs6 ft2NoNoNo2Pro & Farm850,000$85,000$0$No850,000$Lien
Stelio MattheosChiefs (Stl)RW201999-06-13No198 Lbs6 ft1NoNoNo3Pro & Farm809,166$80,917$0$No809,166$809,166$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2723.26188 Lbs6 ft12.00833,169$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Max JonesHenrik BorgstromEeli Tolvanen40122
2Dmitry SokolovEetu LuostarinenGerald Mayhew30122
3Lukas RadilAdam BrooksKirill Maksimov20122
4Henrik BorgstromGerman RubtsovStelio Mattheos10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonathan EricssonErik Brannstrom40122
2Noel HoefenmayerOlli Juolevi30122
3David QuennevilleStelio Mattheos20122
4Jonathan EricssonErik Brannstrom10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Max JonesHenrik BorgstromEeli Tolvanen60122
2Dmitry SokolovEetu LuostarinenGerald Mayhew40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonathan EricssonErik Brannstrom60122
2Noel HoefenmayerOlli Juolevi40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Henrik BorgstromMax Jones60122
2Eetu LuostarinenEeli Tolvanen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonathan EricssonErik Brannstrom60122
2Noel HoefenmayerOlli Juolevi40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Henrik Borgstrom60122Jonathan EricssonErik Brannstrom60122
2Max Jones40122Noel HoefenmayerOlli Juolevi40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Henrik BorgstromMax Jones60122
2Eetu LuostarinenEeli Tolvanen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonathan EricssonErik Brannstrom60122
2Noel HoefenmayerOlli Juolevi40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Max JonesHenrik BorgstromEeli TolvanenJonathan EricssonErik Brannstrom
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Max JonesHenrik BorgstromEeli TolvanenJonathan EricssonErik Brannstrom
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Max Veronneau, Pascal Laberge, Adam BrooksMax Veronneau, Pascal LabergeAdam Brooks
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
David Quenneville, Noel Hoefenmayer, Olli JuoleviDavid QuennevilleNoel Hoefenmayer, Olli Juolevi
Tirs de Pénalité
Henrik Borgstrom, Max Jones, Eetu Luostarinen, Eeli Tolvanen, Dmitry Sokolov
Gardien
#1 : Eric Comrie, #2 : Andrew Shortridge


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
1Admirals320000101174220000008531000001032161.000111930001169182151171129117110389510821357711218.18%11281.82%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
2Baby Hawks44000000174132200000060622000000114781.000173350021169182151621129117110389512441268920735.00%10190.00%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
3Bears2010001057-2100000103211010000025-320.5005611001169182157511291171103895912318455120.00%9366.67%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
4Bruins2110000056-1110000004311010000013-220.50059140011691821574112911711038955219214410330.00%8275.00%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
5Cabaret Lady Mary Ann2200000014410110000006241100000082641.0001426400011691821514511291171103895591110653133.33%4175.00%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
6Caroline220000001239110000008171100000042241.000122234001169182158511291171103895662212494125.00%6183.33%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
7Chill42100010181352100001010642110000087160.7501830480011691821516511291171103895166561810316743.75%90100.00%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
8Comets32100000862110000003212110000054140.66781523001169182151021129117110389512131245613215.38%11281.82%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
9Cougars210000101147110000007161000001043141.0001120310011691821510011291171103895631744715320.00%20100.00%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
10Crunch2000020024-21000010001-11000010023-120.50024600116918215711129117110389555138639111.11%4175.00%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
11Heat312000001011-11010000034-12110000077020.33310192900116918215140112911711038951132528615120.00%13192.31%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
12Jayhawks3110100010912010100067-11100000042240.66710162610116918215165112911711038958525188415533.33%7185.71%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
13Las Vegas30100002714-71000000123-120100001511-620.333712190011691821513311291171103895962918871218.33%9277.78%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
14Manchots211000008621010000034-11100000052320.50081018001169182156811291171103895742519535240.00%7185.71%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
15Marlies21100000440110000004131010000003-320.500471100116918215501129117110389556192330400.00%9366.67%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
16Minnesota44000000287212200000013310220000001541181.0002853810011691821527411291171103895118271489800.00%7271.43%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
17Monarchs321000001192211000007611100000043140.66711223300116918215134112911711038951382920881119.09%9277.78%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
18Monsters2010000146-21000000134-11010000012-110.2504812001169182157411291171103895732520474125.00%10190.00%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
19Monsters504000011018-82010000169-33030000049-510.100101828001169182151631129117110389518056591008112.50%25676.00%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
20Oceanics43100000161242200000010642110000066060.7501630460011691821514411291171103895157383611119315.79%13284.62%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
21Oil Kings311000011013-31010000014-32100000199030.5001019290011691821593112911711038951114633778112.50%13376.92%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
22Phantoms21000010862100000104311100000043141.000811190011691821569112911711038955820146011218.18%60100.00%11719313454.85%1606289655.46%714129555.14%2130149217935871074563
23Rocket21001000844100010003211100000052341.0008142200116918215761129117110389555211339400.00%30100.00%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
24Senators210000015411000000112-11100000042230.7505914001169182156811291171103895671784910220.00%4175.00%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
25Sharks321000001073211000006421100000043140.66710182810116918215104112911711038951092624598225.00%12191.67%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
26Sound Tigers211000008801010000024-21100000064220.50081523001169182157511291171103895721914407228.57%7185.71%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
27Spiders2110000069-3110000004311010000026-420.50061016001169182156111291171103895822029488112.50%11463.64%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
28Stars52201000161333110100010732110000066060.6001632480011691821522811291171103895155372211111218.18%11281.82%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
29Thunder21000010844100000103211100000052341.0008132100116918215781129117110389550141933300.00%7271.43%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
Total824123032672982287041209031441511034841211400123147125221090.66529853483222116918215338311291171103895280178862619622695620.82%2624881.68%11719313454.85%1606289655.46%714129555.14%2130149217935871074563
30Wolf Pack21000001862110000005231000000134-130.75081422001169182159011291171103895471619582150.00%50100.00%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
_Since Last GM Reset824123032672982287041209031441511034841211400123147125221090.66529853483222116918215338311291171103895280178862619622695620.82%2624881.68%11719313454.85%1606289655.46%714129555.14%2130149217935871074563
_Vs Conference43211203214163114492095031027446282312700112896821560.65116330346612116918215193711291171103895140140128910171352619.26%1252381.60%01719313454.85%1606289655.46%714129555.14%2130149217935871074563
_Vs Division249100012777611250000013635112410001141410220.458771402172011691821598811291171103895881232200589831518.07%851483.53%01719313454.85%1606289655.46%714129555.14%2130149217935871074563

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82109L129853483233832801788626196222
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8241233267298228
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412093144151103
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4121140123147125
Derniers 10 Matchs
WLOTWOTL SOWSOL
630001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2695620.82%2624881.68%1
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
11291171103895116918215
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
1719313454.85%1606289655.46%714129555.14%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2130149217935871074563


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 - 2020-10-222Bears2Chiefs3WXXSommaire du Match
4 - 2020-10-2524Stars4Chiefs2LSommaire du Match
6 - 2020-10-2734Chiefs0Marlies3LSommaire du Match
9 - 2020-10-3051Chiefs4Senators2WSommaire du Match
11 - 2020-11-0166Chiefs5Rocket2WSommaire du Match
13 - 2020-11-0381Chiefs6Sound Tigers4WSommaire du Match
16 - 2020-11-06101Comets2Chiefs3WSommaire du Match
18 - 2020-11-08114Rocket2Chiefs3WXSommaire du Match
20 - 2020-11-10131Monsters4Chiefs2LSommaire du Match
23 - 2020-11-13149Monarchs3Chiefs5WSommaire du Match
25 - 2020-11-15162Chiefs1Bruins3LSommaire du Match
26 - 2020-11-16171Chiefs4Cougars3WXXSommaire du Match
29 - 2020-11-19190Minnesota1Chiefs7WSommaire du Match
31 - 2020-11-21200Monsters4Chiefs3LXXSommaire du Match
32 - 2020-11-22213Chiefs8Minnesota2WSommaire du Match
35 - 2020-11-25232Chiefs4Comets1WSommaire du Match
36 - 2020-11-26236Chiefs4Oil Kings5LXXSommaire du Match
39 - 2020-11-29261Chiefs4Heat3WSommaire du Match
42 - 2020-12-02275Jayhawks4Chiefs2LSommaire du Match
45 - 2020-12-05297Chiefs1Monsters2LSommaire du Match
46 - 2020-12-06309Admirals2Chiefs4WSommaire du Match
49 - 2020-12-09324Thunder2Chiefs3WXXSommaire du Match
51 - 2020-12-11338Heat4Chiefs3LSommaire du Match
53 - 2020-12-13358Chill2Chiefs5WSommaire du Match
55 - 2020-12-15370Chiefs5Chill2WSommaire du Match
57 - 2020-12-17380Chiefs5Thunder2WSommaire du Match
59 - 2020-12-19402Chiefs2Stars4LSommaire du Match
60 - 2020-12-20412Manchots4Chiefs3LSommaire du Match
62 - 2020-12-22422Chiefs6Baby Hawks3WSommaire du Match
64 - 2020-12-24435Chiefs5Manchots2WSommaire du Match
67 - 2020-12-27454Marlies1Chiefs4WSommaire du Match
70 - 2020-12-30472Chiefs2Crunch3LXSommaire du Match
72 - 2021-01-01492Las Vegas3Chiefs2LXXSommaire du Match
74 - 2021-01-03513Baby Hawks0Chiefs3WSommaire du Match
76 - 2021-01-05522Monsters5Chiefs4LXXSommaire du Match
78 - 2021-01-07537Oil Kings4Chiefs1LSommaire du Match
81 - 2021-01-10564Chiefs4Sharks3WSommaire du Match
83 - 2021-01-12581Chiefs4Monarchs3WSommaire du Match
87 - 2021-01-16588Chiefs3Oceanics5LSommaire du Match
89 - 2021-01-18602Oceanics2Chiefs4WSommaire du Match
91 - 2021-01-20625Chiefs4Jayhawks2WSommaire du Match
93 - 2021-01-22634Chiefs2Monsters3LSommaire du Match
95 - 2021-01-24644Chiefs1Las Vegas6LSommaire du Match
98 - 2021-01-27670Sharks1Chiefs5WSommaire du Match
100 - 2021-01-29683Crunch1Chiefs0LXSommaire du Match
102 - 2021-01-31698Wolf Pack2Chiefs5WSommaire du Match
104 - 2021-02-02713Admirals3Chiefs4WSommaire du Match
106 - 2021-02-04726Phantoms3Chiefs4WXXSommaire du Match
109 - 2021-02-07744Chiefs1Monsters4LSommaire du Match
118 - 2021-02-16772Chiefs1Comets3LSommaire du Match
119 - 2021-02-17775Chiefs3Heat4LSommaire du Match
122 - 2021-02-20790Chiefs5Oil Kings4WSommaire du Match
123 - 2021-02-21795Chiefs3Oceanics1WSommaire du Match
126 - 2021-02-24820Caroline1Chiefs8WSommaire du Match
128 - 2021-02-26834Oceanics4Chiefs6WSommaire du Match
130 - 2021-02-28852Stars2Chiefs3WXSommaire du Match
133 - 2021-03-03876Chiefs3Admirals2WXXSommaire du Match
135 - 2021-03-05889Chiefs4Las Vegas5LXXSommaire du Match
137 - 2021-03-07896Chill4Chiefs5WXXSommaire du Match
138 - 2021-03-08910Chiefs3Chill5LSommaire du Match
140 - 2021-03-10924Spiders3Chiefs4WSommaire du Match
142 - 2021-03-12938Jayhawks3Chiefs4WXSommaire du Match
143 - 2021-03-13944Chiefs4Stars2WSommaire du Match
145 - 2021-03-15964Chiefs7Minnesota2WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
147 - 2021-03-17976Baby Hawks0Chiefs3WSommaire du Match
149 - 2021-03-19990Sound Tigers4Chiefs2LSommaire du Match
151 - 2021-03-211007Stars1Chiefs5WSommaire du Match
154 - 2021-03-241021Chiefs3Wolf Pack4LXXSommaire du Match
157 - 2021-03-271043Chiefs2Spiders6LSommaire du Match
159 - 2021-03-291062Chiefs5Baby Hawks1WSommaire du Match
161 - 2021-03-311075Cabaret Lady Mary Ann2Chiefs6WSommaire du Match
164 - 2021-04-031094Sharks3Chiefs1LSommaire du Match
166 - 2021-04-051111Senators2Chiefs1LXXSommaire du Match
168 - 2021-04-071125Chiefs4Phantoms3WSommaire du Match
170 - 2021-04-091140Chiefs4Caroline2WSommaire du Match
172 - 2021-04-111156Chiefs8Cabaret Lady Mary Ann2WSommaire du Match
175 - 2021-04-141181Chiefs2Bears5LSommaire du Match
178 - 2021-04-171200Monarchs3Chiefs2LSommaire du Match
180 - 2021-04-191220Minnesota2Chiefs6WSommaire du Match
182 - 2021-04-211233Cougars1Chiefs7WSommaire du Match
184 - 2021-04-231250Bruins3Chiefs4WSommaire du Match
186 - 2021-04-251258Chiefs1Monsters2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets5020
Assistance50,80527,055
Assistance PCT61.96%65.99%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 1899 - 63.30% 75,155$3,081,350$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,595,642$ 2,249,556$ 2,249,556$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
12,094$ 2,595,642$ 26 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 12,094$ 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