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Connexion

Chiefs
GP: 82 | W: 47 | L: 27 | OTL: 8 | P: 102
GF: 181 | GA: 163 | PP%: 12.30% | PK%: 87.64%
DG: Ricky Doyon | Morale : 50 | Moyenne d’équipe : 62
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Centre de jeu
Seattle
59-18-5, 123pts
2
FINAL
0 Chiefs
47-27-8, 102pts
Team Stats
W3SéquenceL2
33-5-3Fiche domicile28-9-4
26-13-2Fiche domicile19-18-4
8-1-1Derniers 10 matchs4-5-1
2.71Buts par match 2.21
1.72Buts contre par match 1.99
13.27%Pourcentage en avantage numérique12.30%
89.47%Pourcentage en désavantage numérique87.64%
Chiefs
47-27-8, 102pts
1
FINAL
3 Stars
50-27-5, 105pts
Team Stats
L2SéquenceW2
28-9-4Fiche domicile25-14-2
19-18-4Fiche domicile25-13-3
4-5-1Derniers 10 matchs6-4-0
2.21Buts par match 2.59
1.99Buts contre par match 2.02
12.30%Pourcentage en avantage numérique18.26%
87.64%Pourcentage en désavantage numérique85.16%
Meneurs d'équipe
Buts
Jonatan Berggren
22
Passes
Jonatan Berggren
30
Points
Jonatan Berggren
52
Plus/Moins
Tyler Tucker
20
Victoires
Ethan Haider
16
Pourcentage d’arrêts
Brett Brochu
1

Statistiques d’équipe
Buts pour
181
2.21 GFG
Tirs pour
1618
19.73 Avg
Pourcentage en avantage numérique
12.3%
30 GF
Début de zone offensive
42.8%
Buts contre
163
1.99 GAA
Tirs contre
1395
17.01 Avg
Pourcentage en désavantage numérique
87.6%%
34 GA
Début de la zone défensive
34.9%
Informations de l'équipe

Directeur généralRicky Doyon
DivisionMid-Ouest
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,918
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 50
Espoirs22


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
1Tanner PearsonX100.006757677280857972506865677084740507003012,700,000$
2Cam AtkinsonXX100.005843807659767876436768657386730506903325,175,000$
3Max PaciorettyX100.005743716983848172406567627090820506903315,200,000$
4Filip ZadinaXX100.006643847581837773426765667169590506902221,000,000$
5Parker KellyXX100.00876166757982757047646372695952050690233600,000$
6Jonatan Berggren (R)XX100.00624782757678707645717161745350050680222925,000$
7Kieffer BellowsXX100.007343817380797470476464646964540506702411,500,000$
8Phil Di GiuseppeX100.0066497372738175704165636668736405067N0282620,000$
9Joonas DonskoiX100.005943776565727565436553656178650506303021,950,000$
10Lias AnderssonXX100.00565068706868666758636454675753050630231925,000$
11Egor Sokolov (R)X100.00654763637365646644666158645150050620222818,333$
12Tyler Tucker (R)X100.00666760737978656840625967665151050660222808,333$
13Luke Hughes (R)X100.00574071717578606540616262665150050640193925,000$
14Taylor FedunX100.00554470656270716240555462607470050620341450,000$
15Steven SantiniX100.006345686565686862405652676057520506202711,000,000$
16Noel Hoefenmayer (R)X100.00605955696362636540636166655150050620231525,000$
17Jared McIsaac (R)X100.00584468686564636340615461615150050610222764,167$
Rayé
1Oskar Back (R)XX100.00684574666864636157625366605150050610222850,833$
2Angus Crookshank (R)X100.00564468686163646542626254655150050600231855,555$
3Samuel Fagemo (R)XX100.00574671706364636443566355665150050600221795,000$
4Jason Polin (R)X100.0060406866616059554054535958515005057N0233620,000$
5Parker Ford (R)XXX100.0060406466615957564054545758505005057N0223620,000$
6Patrick Guay (R)X100.00574468665758575747545454595050050560203560,000$
7Dmitri Voronkov (R)X100.00454397636953723949294041435858050480222600,000$
MOYENNE D’ÉQUIPE100.0062477169697168654461596164615705063
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 SPÂgeContratSalaire moyen
1Ethan Haider (R)100.0047686282394652484344455450050490211600,000$
2Brett Brochu (R)100.0043516156394248474041274438050440201560,000$
Rayé
MOYENNE D’ÉQUIPE100.004560626939445048424336494405047
Nom de l’entraîneur 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
1Jonatan BerggrenChiefs (Stl)LW/RW802230527175371301836015312.02%19146618.33358191320002963151.91%31400000.7114100451
2Phil Di GiuseppeChiefs (Stl)LW811823414475971001504610612.00%7129015.93358201050000794248.84%25800000.6414010425
3Tyler TuckerChiefs (Stl)D82122941205601746782184714.63%70184622.515712442080000220210%000000.4400000622
4Max PaciorettyChiefs (Stl)LW731722396406396162439910.49%4147520.21111123118700011842360.81%14800000.5338000424
5Parker KellyChiefs (Stl)C/LW77182139168752561591634711011.04%8147419.151231214700031632252.77%140600000.5329010734
6Kieffer BellowsChiefs (Stl)LW/RW72211738430011392144489214.58%7110515.3626816900000533251.72%8700010.6923000351
7Cam YorkSt-LouisD62529341830076806618367.58%33151224.40437451680000184200%000000.4500000133
8Filip ZadinaChiefs (Stl)LW/RW74924331580569611331797.96%9117615.90145221480001913253.66%24600000.5615000314
9Braden SchneiderSt-LouisD4462430122810995251153111.76%36106924.31257281180002126200%000000.5600110535
10Steven SantiniChiefs (Stl)D7072229124401126252154313.46%35144020.586511361850001148000%000000.4000000212
11Tanner PearsonChiefs (Stl)LW4791221014049879127529.89%6103522.041011010600041252063.68%19000000.4117000022
12Noel HoefenmayerChiefs (Stl)D7641721-256101544633113112.12%42124116.341121252000076110%300000.3400002232
13Lias AnderssonChiefs (Stl)C/LW691081853607210482175612.20%6128818.671341416000011482159.12%129400000.2801000213
14Oskar BackChiefs (Stl)C/RW6251318442090615510479.09%596715.6012311134000082056.67%33000000.3700000021
15Egor SokolovChiefs (Stl)LW828917-4300925669224411.59%9110113.441012240000352052.50%12000000.3111000151
16Luke HughesChiefs (Stl)D8241317626073584720328.51%61159919.51213201300001161110%000000.2100000002
17Samuel FagemoChiefs (Stl)LW/RW555914-28027457125397.04%665011.82000150001371137.74%5300000.4300000201
18Joonas DonskoiChiefs (Stl)RW479413112031385883815.52%462413.283031060000031056.10%4100000.4201000121
19Cam AtkinsonChiefs (Stl)LW/RW2538111405355316365.66%345218.09022569000011036.36%2200000.4912000120
20Jared McIsaacChiefs (Stl)D6201010-9320632910880%2794215.21000013000047000%000000.2100000000
21Angus CrookshankChiefs (Stl)LW443365806152651111.54%13407.73000050000331144.44%1800000.3500000110
22Taylor FedunChiefs (Stl)D20246-380191070528.57%841120.59101445000145100%000000.2900000002
23Jason PolinChiefs (Stl)RW61232003421050.00%0528.82000020000000100.00%300001.1300000000
24Parker FordChiefs (Stl)C/LW/RW34123-11201316185125.56%240711.9900002000001044.94%8900000.1500000001
25Patrick GuayChiefs (Stl)C1121322058101620.00%0797.2600000000001056.00%2500000.7500000010
26Dmitri VoronkovChiefs (Stl)C9000100121000%0647.1400001000000060.47%430000000000000
Statistiques d’équipe totales ou en moyenne144620135655712064135178615481799517121311.17%4082511917.3739621013622310000182074401854.93%469000010.441345232494647
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
1Ethan HaiderChiefs (Stl)39161750.8632.40225004906560000.588173836112
2Brett BrochuChiefs (Stl)40001.0000970001400000046000
Statistiques d’équipe totales ou en moyenne43161750.8662.3023470490670000173882112


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Angus CrookshankChiefs (Stl)LW231999-10-02Yes181 Lbs5 ft10NoNoNoNo1Pro & Farm855,555$0$0$NoLien
Brett BrochuChiefs (Stl)G202002-09-09Yes161 Lbs5 ft11NoNoNoNo1Pro & Farm560,000$0$0$NoLien
Cam Atkinson (contrat à 1 volet)Chiefs (Stl)LW/RW331989-06-05No175 Lbs5 ft8NoNoYesYes2Pro & Farm5,175,000$4,275,000$0$No5,175,000$Lien
Dmitri VoronkovChiefs (Stl)C222000-09-10Yes183 Lbs6 ft3NoNoNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Egor SokolovChiefs (Stl)LW222000-06-07Yes223 Lbs6 ft3NoNoNoNo2Pro & Farm818,333$0$0$No818,333$Lien
Ethan HaiderChiefs (Stl)G212001-09-04Yes209 Lbs6 ft3NoNoNoNo1Pro & Farm600,000$0$0$NoLien
Filip ZadinaChiefs (Stl)LW/RW221999-11-27No190 Lbs6 ft0NoNoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Jared McIsaacChiefs (Stl)D222000-03-27Yes192 Lbs6 ft1NoNoNoNo2Pro & Farm764,167$0$0$No764,167$Lien
Jason Polin (contrat à 1 volet)Chiefs (Stl)RW231999-06-17Yes179 Lbs6 ft0YesNoNoNo3Pro & Farm620,000$0$0$No620,000$620,000$Lien
Jonatan BerggrenChiefs (Stl)LW/RW222000-07-16Yes197 Lbs5 ft11NoNoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Joonas Donskoi (contrat à 1 volet)Chiefs (Stl)RW301992-04-13No185 Lbs6 ft0NoNoYesYes2Pro & Farm1,950,000$1,050,000$0$No1,950,000$Lien
Kieffer BellowsChiefs (Stl)LW/RW241998-06-10No195 Lbs6 ft1NoNoYesYes1Pro & Farm1,500,000$0$0$NoLien
Lias AnderssonChiefs (Stl)C/LW231998-10-13No190 Lbs6 ft1NoNoNoNo1Pro & Farm925,000$0$0$NoLien
Luke HughesChiefs (Stl)D192003-09-09Yes184 Lbs6 ft2NoNoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Max Pacioretty (contrat à 1 volet)Chiefs (Stl)LW331988-11-20No217 Lbs6 ft2NoNoYesYes1Pro & Farm7,000,000$4,300,000$0$NoLien
Noel HoefenmayerChiefs (Stl)D231999-01-06Yes196 Lbs6 ft1NoNoNoNo1Pro & Farm525,000$0$0$NoLien
Oskar BackChiefs (Stl)C/RW222000-03-12Yes205 Lbs6 ft3NoNoNoNo2Pro & Farm850,833$0$0$No850,833$Lien
Parker Ford (contrat à 1 volet)Chiefs (Stl)C/LW/RW222000-07-20Yes176 Lbs6 ft0YesNoNoNo3Pro & Farm620,000$0$0$No620,000$620,000$Lien
Parker KellyChiefs (Stl)C/LW231999-05-14No190 Lbs6 ft0NoNoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$Lien
Patrick GuayChiefs (Stl)C202002-04-29Yes170 Lbs5 ft9NoNoNoNo3Pro & Farm560,000$0$0$No560,000$560,000$
Phil Di Giuseppe (contrat à 1 volet)Chiefs (Stl)LW281993-10-09No193 Lbs6 ft0YesNoYesYes2Pro & Farm620,000$0$0$No620,000$Lien
Samuel FagemoChiefs (Stl)LW/RW222000-03-14Yes190 Lbs5 ft11NoNoNoNo1Pro & Farm795,000$0$0$NoLien
Steven Santini (contrat à 1 volet)Chiefs (Stl)D271995-03-07No205 Lbs6 ft2NoNoYesYes1Pro & Farm1,000,000$100,000$0$NoLien
Tanner Pearson (contrat à 1 volet)Chiefs (Stl)LW301992-08-10No201 Lbs6 ft1NoNoYesYes1Pro & Farm2,700,000$1,800,000$0$NoLien
Taylor Fedun (contrat à 1 volet)Chiefs (Stl)D341988-06-04No201 Lbs6 ft1NoNoYesYes1Pro & Farm450,000$0$0$NoLien
Tyler TuckerChiefs (Stl)D222000-03-01Yes204 Lbs6 ft1NoNoNoNo2Pro & Farm808,333$0$0$No808,333$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.31192 Lbs6 ft11.771,297,970$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner PearsonParker KellyCam Atkinson40122
2Max PaciorettyLias AnderssonFilip Zadina30122
3Egor SokolovPhil Di GiuseppeJonatan Berggren20122
4Joonas DonskoiKieffer Bellows10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler TuckerLuke Hughes40122
2Taylor FedunSteven Santini30122
3Noel HoefenmayerJared McIsaac20122
4Tyler TuckerLuke Hughes10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner PearsonParker KellyCam Atkinson60122
2Filip ZadinaLias AnderssonMax Pacioretty40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler TuckerLuke Hughes60122
2Taylor FedunSteven Santini40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Parker KellyTanner Pearson60122
2Lias AnderssonFilip Zadina40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler TuckerLuke Hughes60122
2Taylor FedunSteven Santini40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Parker Kelly60122Tyler TuckerLuke Hughes60122
2Lias Andersson40122Taylor FedunSteven Santini40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Parker KellyTanner Pearson60122
2Lias AnderssonFilip Zadina40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler TuckerLuke Hughes60122
2Taylor FedunSteven Santini40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner PearsonParker KellyCam AtkinsonTyler TuckerLuke Hughes
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner PearsonParker KellyCam AtkinsonTyler TuckerLuke Hughes
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Max Pacioretty, Jonatan Berggren, Kieffer BellowsMax Pacioretty, Jonatan BerggrenMax Pacioretty
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Steven Santini, Noel Hoefenmayer, Jared McIsaacSteven SantiniSteven Santini, Noel Hoefenmayer
Tirs de pénalité
Tanner Pearson, Cam Atkinson, Filip Zadina, Parker Kelly, Max Pacioretty
Gardien
#1 : Ethan Haider, #2 : Brett Brochu


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
TotalDomicileVisiteur
# 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
1Admirals31100010651100000103212110000033040.66767130045616513594935615396363172452900.00%100100.00%01201222454.00%978181253.97%632116054.48%2227160317435631032542
2Baby Hawks40300001310-72020000016-52010000124-210.125358004561651363493561539639815327010110.00%15193.33%01201222454.00%978181253.97%632116054.48%2227160317435631032542
3Bears21000010642100000103211100000032141.000691500456165133049356153963261124476116.67%12375.00%01201222454.00%978181253.97%632116054.48%2227160317435631032542
4Bruins2110000046-2110000003211010000014-320.50048120045616513254935615396343162244500.00%11372.73%01201222454.00%978181253.97%632116054.48%2227160317435631032542
5Cabaret Lady Mary Ann211000002201010000012-11100000010120.5002460145616513434935615396326914484125.00%7185.71%01201222454.00%978181253.97%632116054.48%2227160317435631032542
6Caroline210000014401000000123-11100000021130.750481200456165133249356153963291419441200.00%6183.33%01201222454.00%978181253.97%632116054.48%2227160317435631032542
7Chill33000000945220000007341100000021161.00091625004561651366493561539635116167210110.00%7185.71%01201222454.00%978181253.97%632116054.48%2227160317435631032542
8Comets3110000168-2110000002112010000147-330.5006111700456165136849356153963521024611000.00%110100.00%01201222454.00%978181253.97%632116054.48%2227160317435631032542
9Cougars2110000056-1110000003211010000024-220.5005101500456165133449356153963291516566116.67%8187.50%01201222454.00%978181253.97%632116054.48%2227160317435631032542
10Crunch20000020532100000103211000001021141.00055100045616513444935615396344916596116.67%8187.50%01201222454.00%978181253.97%632116054.48%2227160317435631032542
11Heat30200010811-31010000035-22010001056-120.33381422004561651372493561539635315225910110.00%11463.64%01201222454.00%978181253.97%632116054.48%2227160317435631032542
12Jayhawks44000000196132200000093622000000103781.0001933520145616513121493561539638018341065240.00%17288.24%01201222454.00%978181253.97%632116054.48%2227160317435631032542
13Las Vegas32100000532220000005231010000001-140.667510150145616513634935615396329814587114.29%7185.71%01201222454.00%978181253.97%632116054.48%2227160317435631032542
14Manchots20200000510-51010000035-21010000025-300.000510150045616513364935615396336720435240.00%10370.00%01201222454.00%978181253.97%632116054.48%2227160317435631032542
15Marlies21100000541110000002021010000034-120.500591401456165132849356153963301012404125.00%6183.33%01201222454.00%978181253.97%632116054.48%2227160317435631032542
16Minnesota431000001183220000008442110000034-160.75011203101456165138649356153963682630828112.50%14192.86%01201222454.00%978181253.97%632116054.48%2227160317435631032542
17Monarchs32000001954210000016331100000032150.83391726014561651372493561539634213164610110.00%8187.50%01201222454.00%978181253.97%632116054.48%2227160317435631032542
18Monsters21100000330110000003121010000002-220.5003691045616513384935615396326313398112.50%40100.00%01201222454.00%978181253.97%632116054.48%2227160317435631032542
19Monsters420000111073210000015412100001053270.875101525004561651378493561539637119388819421.05%17194.12%01201222454.00%978181253.97%632116054.48%2227160317435631032542
20Oceanics3020100046-21010000012-12010100034-120.3334711004561651351493561539636514275412216.67%9188.89%01201222454.00%978181253.97%632116054.48%2227160317435631032542
21Oil Kings32000001862210000017611100000010150.8338132101456165136849356153963391035538112.50%90100.00%01201222454.00%978181253.97%632116054.48%2227160317435631032542
22Phantoms21100000330110000001011010000023-120.500369014561651345493561539633541032800.00%4175.00%01201222454.00%978181253.97%632116054.48%2227160317435631032542
23Rocket22000000743110000003121100000043141.000714210045616513424935615396322912388112.50%60100.00%01201222454.00%978181253.97%632116054.48%2227160317435631032542
24Sags32100000422110000003032110000012-140.66748120245616513384935615396344627496233.33%11190.91%01201222454.00%978181253.97%632116054.48%2227160317435631032542
25Seattle3110000145-1211000002201000000123-130.500481201456165134249356153963531324741100.00%110100.00%01201222454.00%978181253.97%632116054.48%2227160317435631032542
26Senators2110000023-1110000002111010000002-220.5002350045616513364935615396328415438225.00%40100.00%01201222454.00%978181253.97%632116054.48%2227160317435631032542
27Sound Tigers2020000016-51010000002-21010000014-300.0001230045616513374935615396334121236500.00%6266.67%01201222454.00%978181253.97%632116054.48%2227160317435631032542
28Spiders21100000660110000004221010000024-220.500612180045616513434935615396341171039400.00%4175.00%01201222454.00%978181253.97%632116054.48%2227160317435631032542
29Stars4020101045-1201010001102010001034-140.50045901456165137149356153963551322991516.67%8187.50%01201222454.00%978181253.97%632116054.48%2227160317435631032542
30Thunder22000000835110000004221100000041341.000815230045616513574935615396341101048100.00%5180.00%01201222454.00%978181253.97%632116054.48%2227160317435631032542
31Wolf Pack20001100550100010003211000010023-130.750581300456165133049356153963421518514125.00%90100.00%01201222454.00%978181253.97%632116054.48%2227160317435631032542
Total823727031771811631841239020341037330411418011437890-121020.62218131849911245616513161849356153963139537862817302443012.30%2753487.64%01201222454.00%978181253.97%632116054.48%2227160317435631032542
_Since Last GM Reset823727031771811631841239020341037330411418011437890-121020.62218131849911245616513161849356153963139537862817302443012.30%2753487.64%01201222454.00%978181253.97%632116054.48%2227160317435631032542
_Vs Conference452013010561018813231260101355441122870004346442580.6441011752760745616513927493561539637482033529951391611.51%1551590.32%01201222454.00%978181253.97%632116054.48%2227160317435631032542
_Vs Division247700002504551263000003121101214000021924-5160.3335088138064561651348249356153963375921864527168.45%78791.03%01201222454.00%978181253.97%632116054.48%2227160317435631032542

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82102L2181318499161813953786281730112
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8237273177181163
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41239203410373
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41141811437890
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2443012.30%2753487.64%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
4935615396345616513
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
1201222454.00%978181253.97%632116054.48%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2227160317435631032542


Derniers matchs 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
3 - 2023-10-1213Chiefs2Stars1AWXXSommaire du match
5 - 2023-10-1428Seattle0Chiefs2BWSommaire du match
10 - 2023-10-1957Jayhawks0Chiefs5BWSommaire du match
12 - 2023-10-2175Manchots5Chiefs3BLSommaire du match
15 - 2023-10-2493Chiefs2Oceanics1AWXSommaire du match
17 - 2023-10-26109Chiefs4Heat3AWXXSommaire du match
18 - 2023-10-27116Chiefs3Comets4ALXXSommaire du match
23 - 2023-11-01143Chiefs3Monsters2AWSommaire du match
25 - 2023-11-03158Spiders2Chiefs4BWSommaire du match
26 - 2023-11-04161Rocket1Chiefs3BWSommaire du match
29 - 2023-11-07184Oceanics2Chiefs1BLSommaire du match
31 - 2023-11-09199Jayhawks3Chiefs4BWSommaire du match
33 - 2023-11-11219Chiefs2Monsters1AWXXSommaire du match
36 - 2023-11-14235Thunder2Chiefs4BWSommaire du match
38 - 2023-11-16250Chiefs1Sags0AWSommaire du match
40 - 2023-11-18266Chiefs3Monarchs2AWSommaire du match
41 - 2023-11-19271Chiefs1Admirals2ALSommaire du match
44 - 2023-11-22287Chiefs4Jayhawks2AWSommaire du match
46 - 2023-11-24296Chill2Chiefs3BWSommaire du match
48 - 2023-11-26317Chiefs1Baby Hawks2ALXXSommaire du match
50 - 2023-11-28330Chiefs1Minnesota0AWSommaire du match
52 - 2023-11-30348Crunch2Chiefs3BWXXSommaire du match
54 - 2023-12-02365Chiefs6Jayhawks1AWSommaire du match
56 - 2023-12-04379Chiefs0Las Vegas1ALSommaire du match
58 - 2023-12-06390Las Vegas0Chiefs2BWSommaire du match
60 - 2023-12-08405Chiefs0Monsters2ALSommaire du match
61 - 2023-12-09416Chiefs1Baby Hawks2ALSommaire du match
64 - 2023-12-12436Cougars2Chiefs3BWSommaire du match
66 - 2023-12-14451Senators1Chiefs2BWSommaire du match
68 - 2023-12-16469Stars1Chiefs0BLSommaire du match
71 - 2023-12-19488Chiefs4Thunder1AWSommaire du match
73 - 2023-12-21500Chiefs1Cabaret Lady Mary Ann0AWSommaire du match
75 - 2023-12-23524Baby Hawks2Chiefs1BLSommaire du match
79 - 2023-12-27536Stars0Chiefs1BWXSommaire du match
81 - 2023-12-29552Monsters1Chiefs0BLXXSommaire du match
82 - 2023-12-30559Chiefs2Manchots5ALSommaire du match
87 - 2024-01-04596Comets1Chiefs2BWSommaire du match
89 - 2024-01-06609Chiefs2Caroline1AWSommaire du match
92 - 2024-01-09630Cabaret Lady Mary Ann2Chiefs1BLSommaire du match
94 - 2024-01-11647Wolf Pack2Chiefs3BWXSommaire du match
96 - 2024-01-13667Bruins2Chiefs3BWSommaire du match
98 - 2024-01-15679Phantoms0Chiefs1BWSommaire du match
101 - 2024-01-18696Chiefs3Bears2AWSommaire du match
103 - 2024-01-20713Bears2Chiefs3BWXXSommaire du match
106 - 2024-01-23735Chiefs1Heat3ALSommaire du match
107 - 2024-01-24744Chiefs1Comets3ALSommaire du match
109 - 2024-01-26758Chiefs2Seattle3ALXXSommaire du match
111 - 2024-01-28773Monarchs3Chiefs2BLXXSommaire du match
113 - 2024-01-30776Monsters1Chiefs3BWSommaire du match
124 - 2024-02-10804Chiefs2Crunch1AWXXSommaire du match
125 - 2024-02-11817Chiefs4Rocket3AWSommaire du match
127 - 2024-02-13827Chiefs3Marlies4ALSommaire du match
129 - 2024-02-15844Oil Kings3Chiefs2BLXXSommaire du match
131 - 2024-02-17854Chill1Chiefs4BWSommaire du match
133 - 2024-02-19867Marlies0Chiefs2BWSommaire du match
136 - 2024-02-22895Sound Tigers2Chiefs0BLSommaire du match
138 - 2024-02-24910Chiefs2Cougars4ALSommaire du match
141 - 2024-02-27934Chiefs1Oceanics3ALSommaire du match
142 - 2024-02-28940Chiefs1Oil Kings0AWSommaire du match
145 - 2024-03-02967Minnesota1Chiefs4BWSommaire du match
147 - 2024-03-04977Chiefs2Phantoms3ALSommaire du match
148 - 2024-03-05984Chiefs1Sound Tigers4ALSommaire du match
150 - 2024-03-07997Chiefs2Spiders4ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2024-03-091018Chiefs2Wolf Pack3ALXSommaire du match
154 - 2024-03-111027Chiefs1Bruins4ALSommaire du match
156 - 2024-03-131041Monarchs0Chiefs4BWSommaire du match
159 - 2024-03-161069Minnesota3Chiefs4BWSommaire du match
160 - 2024-03-171079Admirals2Chiefs3BWXXSommaire du match
162 - 2024-03-191089Monsters3Chiefs5BWSommaire du match
164 - 2024-03-211103Chiefs0Senators2ALSommaire du match
166 - 2024-03-231115Chiefs2Minnesota4ALSommaire du match
168 - 2024-03-251134Las Vegas2Chiefs3BWSommaire du match
171 - 2024-03-281157Heat5Chiefs3BLSommaire du match
173 - 2024-03-301177Sags0Chiefs3BWSommaire du match
175 - 2024-04-011186Oil Kings3Chiefs5BWSommaire du match
178 - 2024-04-041208Chiefs2Chill1AWSommaire du match
180 - 2024-04-061221Chiefs0Sags2ALSommaire du match
181 - 2024-04-071235Chiefs2Admirals1AWSommaire du match
184 - 2024-04-101252Baby Hawks4Chiefs0BLSommaire du match
186 - 2024-04-121265Caroline3Chiefs2BLXXSommaire du match
188 - 2024-04-141283Seattle2Chiefs0BLSommaire du match
191 - 2024-04-171305Chiefs1Stars3ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance51,59527,053
Assistance PCT62.92%65.98%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1918 - 63.94% 91,341$3,744,972$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,495,400$ 1,361,222$ 1,361,222$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,090$ 1,495,400$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 7,090$ 0$




Chiefs Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Chiefs Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Chiefs Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Chiefs Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Chiefs Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA