Chiefs

GP: 82 | W: 53 | L: 24 | OTL: 5 | P: 111
GF: 330 | GA: 258 | PP%: 24.85% | PK%: 79.51%
DG: Ricky Doyon | Morale : 50 | Moyenne d'Équipe : 47
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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
1Nick CousinsXXX100.00634384705760635371466059614436050560
2Brendan GaunceXX100.00603585697559464749435073484336050550
3Ty RattieX100.00473591715763374736445062454440050530
4Vinni LettieriXX100.00503595686653375143544856483532050530
5Quinton HowdenXX100.00553587676351354635414964474136050520
6Christopher DiDomenicoXX100.00553585715257374735425260423734050520
7Paul ThompsonX100.00575071696949354035463365473734050500
8German Rubtsov (R)X100.00505050506250505050505050503230050490
9Spencer Foo (R)X100.00503595686258354050354461483532050490
10Conner Bleackley (R)X100.00455049496443434549454550473230050470
11Daniel Catenacci (R)XX100.00503595646352353535353559483734050470
12Ben HuttonX100.00555085646871634435464169454636050580
13MacKenzie Weegar (R)X100.00743582636958474235404369483734050560
14Jakub Jerabek (R)X100.00563590666453404635464567483532050550
15Travis Sanheim (R)X100.00533585695753444535464364483532050540
16Paul PostmaX100.00553589626450404235453954485146050520
17Robbie Russo (R)X100.00493591666049353035293176473532050520
18Darren DietzX100.00564371636644323435333567463532050510
19Dean Kukan (R)X100.00503589646049363535373264483734050510
Rayé
1Brendan ShinniminX100.00453576715742303442383162453532050460
2J.C. LiponX100.00553580695741313735423250463532050460
3Eeli Tolvanen (R)XX100.00443595616153353535353550483532050450
4Pascal Laberge (R)X100.00454545455345454545454545453230050450
5Greg CareyXX100.00414545456939394145414145433230050440
6Pius Suter (R)X100.00434545455042424345434345443230050440
7Adam Brooks (R)X100.00404040405240404040404040403230050410
8Maxim Shalunov (R)X100.00364040406035353640363640383230050390
9Matthew Bradley (R)X100.00353737376635353537353537363230050390
10Matt CareyX100.00308535396629403135313142453532050380
11Gregory Chase (R)X100.00333737376633333337333337353230050380
12Andre PeterssonXX100.00309030334829313135313133453532050350
13Jonas Siegenthaler (R)X100.00434545457442424345434345443230050450
14Matthew Spencer (R)X100.00434545456842424345434345443230050450
15Tyler Lewington (R)X100.00353737376435353537353537363230050390
MOYENNE D'ÉQUIPE100.0048426857624740414040415445363305048
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
1Antoine Bibeau (R)100.0046455580454852444362603532050500
2Marek Mazanec100.0021455469274343334390884036050450
Rayé
1Jordan Binnington100.0043454360424141414159583532050440
2Chris Driedger100.0013454878234343334362603734050430
MOYENNE D'ÉQUIPE100.003145507234444538436867373405046
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
1Brendan GaunceChiefs (Stl)C/LW82415192263801371642578620415.95%19162319.791117285324210171466356.23%90700031.13030001254
2Magnus PaajarviSt-LouisLW/RW7943418433120641392977825514.48%23176022.2912112348251224132215249.24%32900020.952100001064
3Nick CousinsChiefs (Stl)C/LW/RW82294776443751211652296317512.66%10161019.64414184525611241594061.66%166400000.9436001197
4Noah HanifinSt-LouisD4815486318480795996337915.63%35104221.7291019561670330113010.00%000111.2100000621
5Ty RattieChiefs (Stl)RW822635611918027952084915412.50%5142817.42369281770000133139.08%8700000.8501000253
6Vinni LettieriChiefs (Stl)C/RW8217365310100341041604213010.63%8136816.684913201610001351149.75%60700000.7711000140
7Ben HuttonChiefs (Stl)D7994150336010746810332748.74%91178222.5731215492640112205100.00%000000.5600002103
8MacKenzie WeegarChiefs (Stl)D821429432590014654100277214.00%80163319.928715482410111182310.00%000000.5311000114
9Quinton HowdenChiefs (Stl)C/LW80192342032094651734011310.98%10132816.60066111051122644335.34%13300000.6300000241
10Christopher DiDomenicoChiefs (Stl)C/RW82212041-203551161111844912511.41%7128215.642134290002278336.78%71500000.6400001136
11Travis SanheimChiefs (Stl)D82731383260714667203610.45%46126015.3765112881022184100.00%000000.6000000212
12Jakub JerabekChiefs (Stl)D8282735136069508421549.52%73133516.29268381100000123000.00%100000.5201000102
13Paul ThompsonChiefs (Stl)RW374610-1318061394614318.70%551313.87000030110221046.55%5800000.3900000001
14Robbie RussoChiefs (Stl)D450101056022211111180.00%244219.3700028000113000.00%000000.4700000010
15Stefan NoesenSt-LouisC/RW5279400391741611.76%07715.46134722000000050.94%10600002.3300000001
16Spencer FooChiefs (Stl)RW45729-140015203592220.00%13157.02213419000021060.87%2300000.5700000001
17German RubtsovChiefs (Stl)C45448-7261036252891814.29%33367.47000121011100045.58%28300000.4811011010
18Eeli TolvanenChiefs (Stl)LW/RW34437-62011122041520.00%745613.44101190000130029.03%3100000.3111000010
19Darren DietzChiefs (Stl)D67167-92806813187185.56%265728.55000630000070000.00%200000.2400000000
20Justin SchultzSt-LouisD633610097104630.00%614524.22213819000012000.00%000000.8300000010
21Dean KukanChiefs (Stl)D67145-101202018144107.14%215077.57112421000037000.00%000000.2012000000
22Paul PostmaChiefs (Stl)D41055151002845520.00%123518.580111800014000.00%000000.2801000000
23Daniel CatenacciChiefs (Stl)C/LW3011-200100110.00%04515.0700000000010050.00%200000.4400000000
24Adam BrooksChiefs (Stl)C19000400201110.00%0743.950001130000120033.33%2100000.0000000000
25Conner BleackleyChiefs (Stl)C4000000300030.00%0194.8900002000030030.00%1000000.0000000000
26J.C. LiponChiefs (Stl)RW15000140403110.00%0604.04000111000000023.53%1700000.0000000000
Stats d'équipe Total ou en Moyenne137527548075516154830131512882166614163312.70%5122135415.5371111182464226461218361582381551.88%499600160.711028015404440
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
1Antoine BibeauChiefs (Stl)69451940.8772.9839322419515910210.71839692121
2Marek MazanecChiefs (Stl)158300.8683.4672800423180100.00001158000
3Jordan BinningtonChiefs (Stl)70210.8972.9730300151460100.3333222000
Stats d'équipe Total ou en Moyenne91532450.8773.0549642425220550410.690428282121


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 BrooksChiefs (Stl)C211996-05-06Yes175 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm742,500$74,250$0$NoLien
Andre PeterssonChiefs (Stl)LW/RW271990-09-11No169 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm501,000$50,100$0$NoLien
Antoine BibeauChiefs (Stl)G231994-05-01Yes210 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm655,000$65,500$0$NoLien
Ben HuttonChiefs (Stl)D241993-04-20No207 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm868,000$86,800$0$NoLien
Brendan GaunceChiefs (Stl)C/LW231994-03-25No217 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm833,000$83,300$0$NoLien
Brendan ShinniminChiefs (Stl)C261991-01-07No185 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm718,000$71,800$0$NoLien
Chris DriedgerChiefs (Stl)G231994-05-18No205 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm730,000$73,000$0$NoLien
Christopher DiDomenicoChiefs (Stl)C/RW281989-02-20No174 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm675,000$67,500$0$NoLien
Conner BleackleyChiefs (Stl)C211996-02-07Yes192 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm895,000$89,500$0$NoLien
Daniel CatenacciChiefs (Stl)C/LW241993-03-09Yes193 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm575,000$57,500$0$NoLien
Darren DietzChiefs (Stl)D241993-07-17No201 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm690,000$69,000$0$NoLien
Dean KukanChiefs (Stl)D241993-07-08Yes186 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm743,000$74,300$0$NoLien
Eeli TolvanenChiefs (Stl)LW/RW181999-04-22Yes191 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm925,000$92,500$0$NoLien
German RubtsovChiefs (Stl)C191998-06-27Yes190 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm925,000$92,500$0$NoLien
Greg CareyChiefs (Stl)C/LW271990-04-05No204 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm825,000$82,500$0$NoLien
Gregory ChaseChiefs (Stl)C221995-01-01Yes195 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm693,000$69,300$0$NoLien
J.C. LiponChiefs (Stl)RW241993-07-10No183 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm675,000$67,500$0$NoLien
Jakub JerabekChiefs (Stl)D261991-05-12Yes200 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Jonas SiegenthalerChiefs (Stl)D201997-05-06Yes220 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Jordan BinningtonChiefs (Stl)G241993-07-11No167 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm625,000$62,500$0$NoLien
MacKenzie WeegarChiefs (Stl)D231994-01-02Yes212 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm680,000$68,000$0$NoLien
Marek MazanecChiefs (Stl)G261991-07-18No187 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm700,000$70,000$0$NoLien
Matt CareyChiefs (Stl)LW251992-02-28No195 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm600,000$60,000$0$NoLien
Matthew BradleyChiefs (Stl)C201997-01-22Yes195 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Matthew SpencerChiefs (Stl)D201997-03-24Yes207 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Maxim ShalunovChiefs (Stl)RW241993-01-31Yes185 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Nick CousinsChiefs (Stl)C/LW/RW241993-07-20No185 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm843,000$84,300$0$NoLien
Pascal LabergeChiefs (Stl)C191998-04-09Yes174 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm842,500$84,250$0$NoLien
Paul PostmaChiefs (Stl)D281989-02-22No195 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm850,000$85,000$0$NoLien
Paul ThompsonChiefs (Stl)RW281988-11-30No200 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm575,000$57,500$0$NoLien
Pius SuterChiefs (Stl)C211996-05-24Yes170 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Quinton HowdenChiefs (Stl)C/LW251992-01-21No189 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm850,000$85,000$0$NoLien
Robbie RussoChiefs (Stl)D241993-02-15Yes189 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Spencer FooChiefs (Stl)RW231994-05-19Yes190 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Travis SanheimChiefs (Stl)D211996-03-29Yes181 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm925,000$92,500$0$NoLien
Ty RattieChiefs (Stl)RW241993-02-05No184 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm900,000$90,000$0$NoLien
Tyler LewingtonChiefs (Stl)D221994-12-05Yes197 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm525,000$52,500$0$NoLien
Vinni LettieriChiefs (Stl)C/RW221995-02-06No195 Lbs5 ft11YesNoNo6Avec RestrictionPro & Farm2,000,000$200,000$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3823.34192 Lbs6 ft02.61789,711$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan GaunceNick CousinsVinni Lettieri40122
2Quinton HowdenChristopher DiDomenicoTy Rattie30122
3Daniel CatenacciGerman RubtsovPaul Thompson20122
4Nick CousinsConner BleackleySpencer Foo10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HuttonMacKenzie Weegar40122
2Jakub JerabekTravis Sanheim30122
3Paul PostmaRobbie Russo20122
4Darren DietzDean Kukan10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan GaunceNick CousinsVinni Lettieri60122
2Quinton HowdenChristopher DiDomenicoTy Rattie40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HuttonMacKenzie Weegar60122
2Jakub JerabekTravis Sanheim40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nick CousinsBrendan Gaunce60122
2Vinni LettieriTy Rattie40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HuttonMacKenzie Weegar60122
2Jakub JerabekTravis Sanheim40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nick Cousins60122Ben HuttonMacKenzie Weegar60122
2Brendan Gaunce40122Jakub JerabekTravis Sanheim40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nick CousinsBrendan Gaunce60122
2Vinni LettieriTy Rattie40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HuttonMacKenzie Weegar60122
2Jakub JerabekTravis Sanheim40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan GaunceNick CousinsVinni LettieriBen HuttonMacKenzie Weegar
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan GaunceNick CousinsVinni LettieriBen HuttonMacKenzie Weegar
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Paul Thompson, Spencer Foo, German RubtsovPaul Thompson, Spencer FooGerman Rubtsov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Paul Postma, Robbie Russo, Darren DietzPaul PostmaRobbie Russo, Darren Dietz
Tirs de Pénalité
Nick Cousins, Brendan Gaunce, Vinni Lettieri, Ty Rattie, Christopher DiDomenico
Gardien
#1 : Antoine Bibeau, #2 : Marek Mazanec


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
1Admirals321000001192110000002022110000099040.66711203101138103831490865864803787822195114321.43%60100.00%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
2Baby Hawks53100001191632110000087132000001119270.7001930490013810383141238658648037813934349723834.78%16381.25%11440263854.59%1157212254.52%743142252.25%2168149216775941124605
3Bears20001010972100010004311000001054141.000914230013810383148186586480378611716307114.29%8187.50%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
4Bruins21100000541110000003121010000023-120.50051015001381038314548658648037849121828200.00%9277.78%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
5Cabaret Lady Mary Ann220000001183110000004311100000075241.00011213200138103831488865864803786025165612433.33%8275.00%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
6Caroline220000001165110000007341100000043141.0001121320013810383147386586480378601116409444.44%5180.00%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
7Chill541000001697321000009542200000074380.8001628440113810383141358658648037810233318420630.00%13192.31%11440263854.59%1157212254.52%743142252.25%2168149216775941124605
8Comets320000011376210000016511100000072550.83313243700138103831484865864803786714165612216.67%80100.00%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
9Cougars21100000710-31010000037-41100000043120.500713200013810383146186586480378722220287114.29%50100.00%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
10Crunch21100000770110000004221010000035-220.5007132000138103831484865864803783915224514428.57%11372.73%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
11Heat3210000014862200000010281010000046-240.66714223611138103831410086586480378822430708112.50%14285.71%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
12Jayhawks312000001013-31010000045-12110000068-220.3331017270013810383149186586480378792157639333.33%14564.29%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
13Las Vegas3120000010100211000008711010000023-120.3331019290013810383148986586480378701420361400.00%9544.44%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
14Manchots22000000945110000005231100000042241.000917260013810383147586586480378301110428225.00%5260.00%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
15Marlies21100000972110000005231010000045-120.5009142300138103831459865864803785712123511436.36%6183.33%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
16Minnesota42000002181442100000110732100000187160.750183452001381038314145865864803788623427113646.15%20385.00%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
17Monarchs3110001012102100000105412110000076140.66712183000138103831494865864803789926207716318.75%10370.00%11440263854.59%1157212254.52%743142252.25%2168149216775941124605
18Monsters2110000069-3110000003211010000037-420.5006111700138103831445865864803785913103512325.00%5260.00%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
19Monsters43100000151232110000047-322000000115660.7501523380013810383141228658648037810130456921314.29%15566.67%11440263854.59%1157212254.52%743142252.25%2168149216775941124605
20Oceanics412000101320-720100010711-42110000069-340.500132033001381038314978658648037813147407711436.36%19573.68%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
21Oil Kings3300000013492200000010371100000031261.0001324370013810383148786586480378621122449111.11%11190.91%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
22Phantoms20200000811-31010000035-21010000056-100.000814220013810383145586586480378501718388225.00%9366.67%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
23Rocket2200000014311110000009091100000053241.000142741011381038314548658648037838178279222.22%40100.00%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
24Senators22000000633110000003121100000032141.0006121800138103831450865864803783166388337.50%30100.00%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
25Sharks302000011015-51000000156-12020000059-410.1671018280013810383141108658648037810120147912216.67%7271.43%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
26Sound Tigers211000008531010000023-11100000062420.50081422001381038314598658648037830161235500.00%5260.00%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
27Spiders220000001147110000008261100000032141.0001120310013810383147586586480378531116389444.44%8187.50%11440263854.59%1157212254.52%743142252.25%2168149216775941124605
28Stars42100010181442110000076121000010118360.750183351001381038314132865864803788226477817317.65%16381.25%01440263854.59%1157212254.52%743142252.25%2168149216775941124605
29Thunder211000005411010000002-21100000052320.50058130013810383144686586480378311324415240.00%12191.67%11440263854.59%1157212254.52%743142252.25%2168149216775941124605
Total8247240105533025872412411010231661155141231300032164143211110.677330578908141381038314256886586480378205657167515523348324.85%2885979.51%71440263854.59%1157212254.52%743142252.25%2168149216775941124605
31Wolf Pack210000101257110000008261000001043141.0001219310013810383141108658648037857814449222.22%70100.00%11440263854.59%1157212254.52%743142252.25%2168149216775941124605
_Since Last GM Reset8247240105533025872412411010231661155141231300032164143211110.677330578908141381038314256886586480378205657167515523348324.85%2885979.51%71440263854.59%1157212254.52%743142252.25%2168149216775941124605
_Vs Conference422710000141801324822146000029464302013400012866818600.71418032150112138103831413338658648037810372873957801774223.73%1563378.85%21440263854.59%1157212254.52%743142252.25%2168149216775941124605
_Vs Division2474000039376171233000015032181241000024344-1170.3549316225512138103831474586586480378638152198476941515.96%791877.22%11440263854.59%1157212254.52%743142252.25%2168149216775941124605

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82111W133057890825682056571675155214
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8247241055330258
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4124111023166115
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4123130032164143
Derniers 10 Matchs
WLOTWOTL SOWSOL
640000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3348324.85%2885979.51%7
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
865864803781381038314
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
1440263854.59%1157212254.52%743142252.25%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2168149216775941124605


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 - 2018-10-0411Oceanics4Chiefs5WXXSommaire du Match
4 - 2018-10-0624Baby Hawks2Chiefs4WSommaire du Match
9 - 2018-10-1154Heat2Chiefs6WSommaire du Match
11 - 2018-10-1368Chiefs2Baby Hawks3LXXSommaire du Match
12 - 2018-10-1472Admirals0Chiefs2WSommaire du Match
15 - 2018-10-1786Chiefs5Rocket3WSommaire du Match
18 - 2018-10-20106Chiefs4Marlies5LSommaire du Match
20 - 2018-10-22120Chiefs1Oceanics6LSommaire du Match
23 - 2018-10-25137Monsters2Chiefs3WSommaire du Match
25 - 2018-10-27155Baby Hawks5Chiefs4LSommaire du Match
30 - 2018-11-01186Las Vegas6Chiefs5LSommaire du Match
32 - 2018-11-03201Minnesota3Chiefs7WSommaire du Match
35 - 2018-11-06221Caroline3Chiefs7WSommaire du Match
38 - 2018-11-09239Sharks6Chiefs5LXXSommaire du Match
40 - 2018-11-11253Minnesota4Chiefs3LXXSommaire du Match
43 - 2018-11-14273Chiefs4Baby Hawks2WSommaire du Match
45 - 2018-11-16290Chiefs2Las Vegas3LSommaire du Match
46 - 2018-11-17302Chiefs3Sharks6LSommaire du Match
48 - 2018-11-19313Monarchs4Chiefs5WXXSommaire du Match
50 - 2018-11-21326Chiefs3Chill2WSommaire du Match
52 - 2018-11-23344Chill2Chiefs4WSommaire du Match
53 - 2018-11-24348Oceanics7Chiefs2LSommaire du Match
57 - 2018-11-28377Chiefs4Cougars3WSommaire du Match
59 - 2018-11-30393Chiefs5Monsters1WSommaire du Match
60 - 2018-12-01404Chiefs0Jayhawks4LSommaire du Match
64 - 2018-12-05426Oil Kings2Chiefs6WSommaire du Match
66 - 2018-12-07441Chiefs5Oceanics3WSommaire du Match
68 - 2018-12-09454Comets3Chiefs2LXXSommaire du Match
70 - 2018-12-11470Cabaret Lady Mary Ann3Chiefs4WSommaire du Match
73 - 2018-12-14492Monsters1Chiefs3WSommaire du Match
75 - 2018-12-16507Heat0Chiefs4WSommaire du Match
77 - 2018-12-18524Chiefs3Oil Kings1WSommaire du Match
79 - 2018-12-20539Chiefs7Comets2WSommaire du Match
81 - 2018-12-22550Chiefs4Heat6LSommaire du Match
86 - 2018-12-27572Crunch2Chiefs4WSommaire du Match
88 - 2018-12-29592Manchots2Chiefs5WSommaire du Match
90 - 2018-12-31604Wolf Pack2Chiefs8WSommaire du Match
93 - 2019-01-03627Bears3Chiefs4WXSommaire du Match
95 - 2019-01-05642Sound Tigers3Chiefs2LSommaire du Match
97 - 2019-01-07653Chiefs5Phantoms6LSommaire du Match
98 - 2019-01-08664Stars2Chiefs1LSommaire du Match
100 - 2019-01-10677Rocket0Chiefs9WSommaire du Match
102 - 2019-01-12695Chiefs5Stars4WXXSommaire du Match
104 - 2019-01-14709Chiefs5Bears4WXXSommaire du Match
105 - 2019-01-15711Chiefs6Sound Tigers2WSommaire du Match
107 - 2019-01-17726Chiefs2Bruins3LSommaire du Match
109 - 2019-01-19742Senators1Chiefs3WSommaire du Match
111 - 2019-01-21757Chiefs2Monarchs4LSommaire du Match
113 - 2019-01-23769Chiefs8Admirals3WSommaire du Match
123 - 2019-02-02797Chiefs3Monsters7LSommaire du Match
126 - 2019-02-05811Chiefs7Cabaret Lady Mary Ann5WSommaire du Match
128 - 2019-02-07831Chiefs5Thunder2WSommaire du Match
130 - 2019-02-09843Chill0Chiefs4WSommaire du Match
131 - 2019-02-10852Chiefs4Chill2WSommaire du Match
133 - 2019-02-12869Spiders2Chiefs8WSommaire du Match
135 - 2019-02-14884Chiefs6Jayhawks4WSommaire du Match
137 - 2019-02-16894Chiefs6Monsters4WSommaire du Match
138 - 2019-02-17905Chiefs4Minnesota5LXXSommaire du Match
140 - 2019-02-19921Marlies2Chiefs5WSommaire du Match
142 - 2019-02-21937Chiefs6Stars4WSommaire du Match
144 - 2019-02-23947Bruins1Chiefs3WSommaire du Match
145 - 2019-02-24959Chiefs4Minnesota2WSommaire du Match
147 - 2019-02-26975Chill3Chiefs1LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2019-03-01995Chiefs4Caroline3WSommaire du Match
151 - 2019-03-021007Stars4Chiefs6WSommaire du Match
155 - 2019-03-061031Chiefs1Admirals6LSommaire du Match
156 - 2019-03-071042Chiefs5Monarchs2WSommaire du Match
158 - 2019-03-091049Chiefs2Sharks3LSommaire du Match
161 - 2019-03-121076Jayhawks5Chiefs4LSommaire du Match
163 - 2019-03-141086Chiefs3Senators2WSommaire du Match
165 - 2019-03-161099Chiefs4Manchots2WSommaire du Match
166 - 2019-03-171112Chiefs3Crunch5LSommaire du Match
168 - 2019-03-191127Oil Kings1Chiefs4WSommaire du Match
170 - 2019-03-211140Cougars7Chiefs3LSommaire du Match
172 - 2019-03-231159Thunder2Chiefs0LSommaire du Match
174 - 2019-03-251173Las Vegas1Chiefs3WSommaire du Match
178 - 2019-03-291197Chiefs4Wolf Pack3WXXSommaire du Match
179 - 2019-03-301208Chiefs3Spiders2WSommaire du Match
181 - 2019-04-011225Monsters6Chiefs1LSommaire du Match
183 - 2019-04-031240Chiefs5Baby Hawks4WSommaire du Match
184 - 2019-04-041248Phantoms5Chiefs3LSommaire du Match
186 - 2019-04-061258Comets2Chiefs4WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets5020
Assistance62,57231,137
Assistance PCT76.31%75.94%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2286 - 76.19% 91,496$3,751,340$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,326,253$ 3,000,900$ 2,942,937$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
16,048$ 3,326,253$ 38 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 16,048$ 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
2018824724010553302587241241101023166115514123130003216414321111330578908141381038314256886586480378205657167515523348324.85%2885979.51%71440263854.59%1157212254.52%743142252.25%2168149216775941124605
Total Saison Régulière824724010553302587241241101023166115514123130003216414321111330578908141381038314256886586480378205657167515523348324.85%2885979.51%71440263854.59%1157212254.52%743142252.25%2168149216775941124605