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Connexion

Chiefs
GP: 82 | W: 31 | L: 39 | OTL: 12 | P: 74
GF: 262 | GA: 328 | PP%: 23.58% | PK%: 75.70%
DG: Ricky Doyon | Morale : 50 | Moyenne d’équipe : 56
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Centre de jeu
Stars
56-20-6, 118pts
2
FINAL
5 Chiefs
31-39-12, 74pts
Team Stats
W1StreakL1
28-10-3Home Record16-18-7
28-10-3Away Record15-21-5
6-2-2Last 10 Games5-5-0
3.65Buts par match 3.20
2.33Buts contre par match 4.00
20.00%Pourcentage en avantage numérique23.58%
87.18%Pourcentage en désavantage numérique75.70%
Chiefs
31-39-12, 74pts
1
FINAL
6 Stars
56-20-6, 118pts
Team Stats
L1StreakW1
16-18-7Home Record28-10-3
15-21-5Away Record28-10-3
5-5-0Last 10 Games6-2-2
3.20Buts par match 3.65
4.00Buts contre par match 2.33
23.58%Pourcentage en avantage numérique20.00%
75.70%Pourcentage en désavantage numérique87.18%
Meneurs d'équipe
Buts
Henrik Borgstrom
26
Passes
Olli Juolevi
45
Points
Egor Sokolov
57
Plus/Moins
Henrik Borgstrom
10
Victoires
Ethan Haider
14
Pourcentage d’arrêts
Filip Gustavsson
0.921

Statistiques d’équipe
Buts pour
262
3.20 GFG
Tirs pour
2804
34.20 Avg
Pourcentage en avantage numérique
23.6%
54 GF
Début de zone offensive
38.7%
Buts contre
328
4.00 GAA
Tirs contre
3135
38.23 Avg
Pourcentage en désavantage numérique
75.7%%
78 GA
Début de la zone défensive
41.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance1,884
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 50
Espoirs15


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 BorgstromXXX100.00654287757457566753565872254949050600243900,000$
2Cole Reinhardt (R)X100.00757476637472775650505863554444050580212600,000$
3Joel TeasdaleX100.00787488687450486250566466614444050580221763,333$
4Adam BrooksX100.00634197696653585945545864754849050570252750,000$
5Egor Sokolov (R)XX100.00814585688056636325505560254444050570213818,333$
6Oskar Back (R)X100.00827696637656575265534765454444050550213850,833$
7Angus Crookshank (R)X100.00546635596651496149605655554444050540222855,555$
8Cedric PareX100.00838091628047475063474765454444050530222525,000$
9Stelio MattheosXX100.00747279647253554961474560434444050520221809,166$
10Blake McLaughlin (R)X100.00433889686053644751414347475051050490213825,000$
11Dmitri Voronkov (R)X100.00484399646958784150314342455858050480213600,000$
12Callan FooteX100.008045847984627459255048692555550506402231,000,000$
13Markus NutivaaraX100.00734486817163566025604462246364050620272675,000$
14Braden Schneider (R)X100.00795892757767625525554872254747050620204925,000$
15Olli JuoleviX100.00714389746961536225394767254747050590232750,000$
16Vincent DesharnaisX100.00818377638365695125474164394444050590251600,000$
17Jared McIsaac (R)X100.00757185677158605025444161394444050560213764,167$
18Tyler Tucker (R)X100.00717658637663674825404059384444050550213808,333$
Rayé
1Noel Hoefenmayer (R)X100.00747094667054574525353861384444050540222525,000$
MOYENNE D’ÉQUIPE100.0071608468735861554048486241474805056
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
1Filip Gustavsson100.00605554726554836365609546460506102321,975,000$
2Arvid Soderblom (R)100.0057405072646053606260304444050570223883,750$
Rayé
1Ethan Haider (R)100.0049696582414853514647485454050540201600,000$
2Brett Brochu (R)100.0045526456414449504344294441050470192560,000$
MOYENNE D’ÉQUIPE100.005354587153526056545351474605055
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
1Parker KellySt-LouisC/RW77433881-28603441833539924512.18%42163221.20119206817610152326230.47%241200000.993110008106
2Egor SokolovChiefs (Stl)LW/RW81213657-332007891222591609.46%14144417.837411391790000684131.64%17700100.7915000430
3Adam BrooksChiefs (Stl)C81213556-166017174234661688.97%15153819.00413173317411262013139.58%196800000.7312000221
4Gabriel VilardiSt-LouisC/RW472828562740341342256416812.44%15108323.05610163612101161352252.62%99200011.0325000613
5Cole ReinhardtChiefs (Stl)LW81213556-2531587771985116810.61%11167320.66513183018511232522036.80%12500100.67112010104
6Olli JuoleviChiefs (Stl)D81114556-4360858715248987.24%131167920.7331114411501013232110.00%000000.6700000212
7Henrik BorgstromChiefs (Stl)C/LW/RW642628541012032120277741869.39%20116918.2764103811400021242445.17%35200000.9207000323
8Joel TeasdaleChiefs (Stl)LW81262753-76201331142597019810.04%16126715.654711391221013732238.82%8500100.8428000343
9Markus NutivaaraChiefs (Stl)D8183947-234402298211432777.02%122191023.584913541880112239100.00%000000.4900000123
10Cam YorkSt-LouisD50103646-18240769214147807.09%107115623.1241519761290111109100.00%000000.8000000320
11Oskar BackChiefs (Stl)C81171835-7320991281483811711.49%13110413.63101311000001152.72%90100010.6300000321
12Braden SchneiderChiefs (Stl)D7292635-166402027212428817.26%123151120.9961016541500002169110.00%000000.4600000211
13Callan FooteChiefs (Stl)D6332932-5440115918923663.37%98127320.210222085000171000.00%000000.5000000214
14Vincent DesharnaisChiefs (Stl)D815253009515246609534555.26%121171321.15167421720004208000.00%000000.3500300104
15Stelio MattheosChiefs (Stl)C/RW8191625-112601115010229758.82%8112113.84224578000152050.00%9800000.4500000000
16Angus CrookshankChiefs (Stl)LW8181624-51808159122351046.56%5105112.990224640001710234.12%8500000.4600000001
17Jared McIsaacChiefs (Stl)D7511516-17400107474915372.04%79119415.9302211600001110000.00%000000.2700000000
18Cedric PareChiefs (Stl)C8112315-4255848087206313.79%126718.3000000000000250.99%45500000.4500001003
19Tyler TuckerChiefs (Stl)D813811-1775520431447256.82%70128815.9101115022183010.00%000000.1700001000
20Blake McLaughlinChiefs (Stl)C53246-4000233612175.56%755110.41000180000160037.84%14800000.2200000001
21Noel HoefenmayerChiefs (Stl)D381342602014108810.00%122987.860000200004000.00%100000.2700000001
22Dmitri VoronkovChiefs (Stl)C39224-500018161912.50%13238.2900000000000043.75%17600000.2500000000
23Zack KassianSt-LouisLW/RW311202356263616.67%03712.490000000000000.00%200001.0700100000
Statistiques d’équipe totales ou en moyenne1553288513801-1807733523901829310386322119.28%10422669617.196412018459521815712422411282040.72%797700320.601050412413141
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)43141680.8903.8522750014613330220.708243932133
2Arvid SoderblomChiefs (Stl)29131030.9043.651578219610030000.938162750401
3Filip GustavssonChiefs (Stl)157510.9213.1079320415170001.00031149210
4Brett BrochuChiefs (Stl)53100.9114.2725300182020000.667346000
Statistiques d’équipe totales ou en moyenne923732120.9013.6949014130130550224681137744


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 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 10Link
Adam BrooksChiefs (Stl)C251996-05-06No185 Lbs5 ft10NoNoYes2Pro & Farm750,000$0$0$No750,000$Lien
Angus CrookshankChiefs (Stl)LW221999-10-02Yes181 Lbs5 ft11NoNoNo2Pro & Farm855,555$0$0$No855,555$Lien
Arvid SoderblomChiefs (Stl)G221999-08-19Yes179 Lbs6 ft3NoNoNo3Pro & Farm883,750$0$0$No883,750$883,750$Lien
Blake McLaughlinChiefs (Stl)C212000-02-14Yes162 Lbs6 ft0NoNoNo3Pro & Farm825,000$0$0$No825,000$825,000$Lien
Braden SchneiderChiefs (Stl)D202001-09-20Yes209 Lbs6 ft2NoNoNo4Pro & Farm925,000$0$0$No925,000$925,000$925,000$Lien
Brett BrochuChiefs (Stl)G192002-09-09Yes161 Lbs5 ft11NoNoNo2Pro & Farm560,000$0$0$No560,000$Lien
Callan FooteChiefs (Stl)D221998-12-12No227 Lbs6 ft4NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien
Cedric PareChiefs (Stl)C221999-01-24No212 Lbs6 ft4NoNoNo2Pro & Farm525,000$0$0$No525,000$Lien
Cole ReinhardtChiefs (Stl)LW212000-02-01Yes203 Lbs6 ft1YesNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Dmitri VoronkovChiefs (Stl)C212000-09-10Yes183 Lbs6 ft3YesNoNo3Pro & Farm600,000$0$0$No600,000$600,000$Lien
Egor SokolovChiefs (Stl)LW/RW212000-06-07Yes214 Lbs6 ft4NoNoNo3Pro & Farm818,333$0$0$No818,333$818,333$Lien
Ethan HaiderChiefs (Stl)G202001-09-04Yes209 Lbs6 ft3YesNoNo1Pro & Farm600,000$0$0$NoLien
Filip GustavssonChiefs (Stl)G231998-06-07No184 Lbs6 ft2NoNoNo2Pro & Farm1,975,000$0$0$No1,975,000$Lien
Henrik BorgstromChiefs (Stl)C/LW/RW241997-08-06No199 Lbs6 ft3NoNoYes3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Jared McIsaacChiefs (Stl)D212000-03-27Yes192 Lbs6 ft1NoNoNo3Pro & Farm764,167$0$0$No764,167$764,167$Lien
Joel TeasdaleChiefs (Stl)LW221999-03-11No205 Lbs6 ft0NoNoNo1Pro & Farm763,333$0$0$NoLien
Markus Nutivaara (contrat à 1 volet)Chiefs (Stl)D271994-06-06No191 Lbs6 ft1NoNoYes2Pro & Farm675,000$0$0$No675,000$Lien
Noel HoefenmayerChiefs (Stl)D221999-01-06Yes191 Lbs6 ft0NoNoNo2Pro & Farm525,000$0$0$No525,000$Lien
Olli JuoleviChiefs (Stl)D231998-05-05No182 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Oskar BackChiefs (Stl)C212000-03-12Yes205 Lbs6 ft2NoNoNo3Pro & Farm850,833$0$0$No850,833$850,833$Lien
Stelio MattheosChiefs (Stl)C/RW221999-06-14No196 Lbs6 ft1NoNoNo1Pro & Farm809,166$0$0$NoLien
Tyler TuckerChiefs (Stl)D212000-03-01Yes205 Lbs6 ft2NoNoNo3Pro & Farm808,333$0$0$No808,333$808,333$Lien
Vincent DesharnaisChiefs (Stl)D251996-05-29No216 Lbs6 ft6YesNoYes1Pro & Farm600,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2322.04195 Lbs6 ft22.30798,412$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole ReinhardtHenrik BorgstromEgor Sokolov40122
2Joel TeasdaleAdam BrooksCedric Pare30122
3Angus CrookshankOskar BackStelio Mattheos20122
4Blake McLaughlinDmitri VoronkovJared McIsaac10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus NutivaaraBraden Schneider40122
2Vincent DesharnaisCallan Foote30122
3Tyler TuckerOlli Juolevi20122
4Markus NutivaaraBraden Schneider10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole ReinhardtHenrik BorgstromEgor Sokolov60104
2Joel TeasdaleAdam BrooksAngus Crookshank40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus NutivaaraBraden Schneider60014
2Vincent DesharnaisOlli Juolevi40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Henrik BorgstromCole Reinhardt60131
2Adam BrooksJoel Teasdale40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus NutivaaraOlli Juolevi60131
2Vincent DesharnaisCallan Foote40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Henrik Borgstrom60140Markus NutivaaraCallan Foote60140
2Adam Brooks40140Vincent DesharnaisBraden Schneider40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Henrik BorgstromCole Reinhardt60122
2Adam BrooksJoel Teasdale40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Braden SchneiderOlli Juolevi60122
2Vincent DesharnaisCallan Foote40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole ReinhardtHenrik BorgstromEgor SokolovMarkus NutivaaraBraden Schneider
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole ReinhardtHenrik BorgstromEgor SokolovMarkus NutivaaraBraden Schneider
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Egor Sokolov, Adam Brooks, Oskar BackEgor Sokolov, Adam BrooksEgor Sokolov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Callan Foote, Tyler Tucker, Braden SchneiderCallan FooteCallan Foote, Tyler Tucker
Tirs de pénalité
Angus Crookshank, Henrik Borgstrom, Cole Reinhardt, Joel Teasdale, Egor Sokolov
Gardien
#1 : Filip Gustavsson, #2 : Arvid Soderblom


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
1Admirals330000001055220000007431100000031261.0001019290088917610104884950920958529347811545.45%17382.35%11115275540.47%1114292838.05%546143538.05%1915128319916221092542
2Baby Hawks412010001418-4211000009902010100059-440.500142539008891761013288495092095143442211617529.41%11372.73%11115275540.47%1114292838.05%546143538.05%1915128319916221092542
3Bears2110000010911010000035-21100000074320.50010162600889176108288495092095981812599222.22%6350.00%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
4Bruins200010101082100010006511000001043141.00010172700889176108688495092095852722606233.33%11463.64%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
5Cabaret Lady Mary Ann22000000752110000003211100000043141.00071219008891761010288495092095912414692150.00%7271.43%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
6Caroline20200000611-51010000057-21010000014-300.00069151088917610608849509209574201845700.00%9366.67%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
7Chill42000110161242100001010732100010065170.8751630460088917610138884950920951745032972150.00%15473.33%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
8Comets30300000912-32020000068-21010000034-100.0009162500889176108588495092095112253476500.00%17570.59%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
9Cougars20200000410-61010000035-21010000015-400.000461000889176107588495092095971912624125.00%6266.67%11115275540.47%1114292838.05%546143538.05%1915128319916221092542
10Crunch21100000770110000005321010000024-220.5007101700889176107488495092095692114529222.22%7185.71%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
11Heat310001101082210001007611000001032150.83310132300889176101518849509209510829108810110.00%50100.00%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
12Jayhawks3210000010100110000005322110000057-240.667101828008891761087884950920951184653779444.44%18288.89%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
13Las Vegas31200000914-51100000043120200000511-620.33391625008891761098884950920951192416819333.33%8362.50%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
14Manchots21100000910-1110000006511010000035-220.5009162500889176105988495092095702616553266.67%8275.00%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
15Marlies2010010059-41000010034-11010000025-310.250571200889176106488495092095801812407114.29%50100.00%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
16Minnesota420001019632000010135-22200000061560.750914230188917610166884950920951303534116800.00%170100.00%11115275540.47%1114292838.05%546143538.05%1915128319916221092542
17Monarchs321000001213-11010000038-52200000095440.6671222340088917610122884950920951022618989333.33%8275.00%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
18Monsters2110000079-21010000036-31100000043120.5007142100889176106588495092095862710398337.50%5340.00%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
19Monsters411001011315-2210000018622010010059-440.5001323360088917610137884950920951264353911000.00%21480.95%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
20Oceanics403000011522-720100001911-220200000611-510.125152843008891761013688495092095172463710420420.00%14657.14%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
21Oil Kings3200000112102110000004312100000187150.833122234008891761097884950920951232524797342.86%12558.33%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
22Phantoms2020000039-61010000026-41010000013-200.0003580088917610568849509209565252650300.00%12375.00%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
23Rocket20200000510-51010000035-21010000025-300.0005101500889176107088495092095831918508225.00%8275.00%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
24Seattle30300000614-81010000024-220200000410-600.00061117008891761087884950920951323322887114.29%11190.91%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
25Senators2010000169-31010000024-21000000145-110.2506111700889176105588495092095621916487228.57%8362.50%11115275540.47%1114292838.05%546143538.05%1915128319916221092542
26Sharks30100011912-32010001079-21000000123-130.500913220088917610102884950920951203228728225.00%14192.86%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
27Sound Tigers20200000511-61010000026-41010000035-200.000591410889176105788495092095783616486116.67%8362.50%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
28Spiders20200000411-71010000026-41010000025-300.000461000889176104288495092095682133545120.00%14657.14%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
29Stars31200000612-62110000056-11010000016-520.3336111700889176107688495092095115302975300.00%12191.67%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
30Thunder200000116601000000134-11000001032130.7506814008891761058884950920957324953300.00%2150.00%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
31Wolf Pack20200000811-31010000046-21010000045-100.0008152300889176108188495092095772015537228.57%50100.00%01115275540.47%1114292838.05%546143538.05%1915128319916221092542
Total82243902557262328-6641131801324144171-2741112101233118157-39740.4512624527142188917610280488495092095313588170921732295423.58%3217875.70%51115275540.47%1114292838.05%546143538.05%1915128319916221092542
_Since Last GM Reset82243902557262328-6641131801324144171-2741112101233118157-39740.4512624527142188917610280488495092095313588170921732295423.58%3217875.70%51115275540.47%1114292838.05%546143538.05%1915128319916221092542
_Vs Conference43142101313127162-352198002027275-322513011115587-32380.4421272163431188917610149788495092095164043737311651152320.00%1693479.88%31115275540.47%1114292838.05%546143538.05%1915128319916221092542
_Vs Division2449011017788-111223001014045-51226010003743-6120.25077132209008891761084688495092095901223186660661827.27%922078.26%11115275540.47%1114292838.05%546143538.05%1915128319916221092542

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8274L126245271428043135881709217321
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8224392557262328
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113181324144171
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4111211233118157
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2295423.58%3217875.70%5
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
8849509209588917610
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
1115275540.47%1114292838.05%546143538.05%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1915128319916221092542


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
9 - 2022-10-1533Monsters6Chiefs3BLSommaire du match
13 - 2022-10-1958Chiefs2Seattle3ALSommaire du match
16 - 2022-10-2276Chiefs4Oil Kings5ALXXSommaire du match
18 - 2022-10-2495Chiefs2Oceanics6ALSommaire du match
20 - 2022-10-26109Oil Kings3Chiefs4BWSommaire du match
21 - 2022-10-27115Chiefs2Chill3ALXSommaire du match
23 - 2022-10-29131Rocket5Chiefs3BLSommaire du match
25 - 2022-10-31146Monarchs8Chiefs3BLSommaire du match
28 - 2022-11-03166Sound Tigers6Chiefs2BLSommaire du match
32 - 2022-11-07194Chiefs4Bruins3AWXXSommaire du match
33 - 2022-11-08199Chiefs1Phantoms3ALSommaire du match
35 - 2022-11-10218Sharks5Chiefs2BLSommaire du match
37 - 2022-11-12235Chiefs3Las Vegas6ALSommaire du match
39 - 2022-11-14247Chiefs2Monsters5ALSommaire du match
41 - 2022-11-16258Chiefs3Baby Hawks2AWXSommaire du match
42 - 2022-11-17269Bears5Chiefs3BLSommaire du match
44 - 2022-11-19282Admirals2Chiefs3BWSommaire du match
46 - 2022-11-21296Admirals2Chiefs4BWSommaire du match
48 - 2022-11-23308Chiefs2Crunch4ALSommaire du match
50 - 2022-11-25328Chiefs3Thunder2AWXXSommaire du match
51 - 2022-11-26334Chiefs4Cabaret Lady Mary Ann3AWSommaire du match
53 - 2022-11-28350Stars4Chiefs0BLSommaire du match
56 - 2022-12-01369Caroline7Chiefs5BLSommaire du match
58 - 2022-12-03384Chiefs3Manchots5ALSommaire du match
60 - 2022-12-05398Chiefs4Wolf Pack5ALSommaire du match
61 - 2022-12-06407Chiefs3Sound Tigers5ALSommaire du match
63 - 2022-12-08422Oceanics5Chiefs4BLXXSommaire du match
66 - 2022-12-11442Monsters2Chiefs5BWSommaire du match
67 - 2022-12-12453Chill4Chiefs5BWXXSommaire du match
70 - 2022-12-15480Chiefs4Oil Kings2AWSommaire du match
71 - 2022-12-16482Chiefs3Heat2AWXXSommaire du match
74 - 2022-12-19509Chiefs3Comets4ALSommaire du match
75 - 2022-12-20515Chiefs2Seattle7ALSommaire du match
78 - 2022-12-23545Chiefs2Las Vegas5ALSommaire du match
82 - 2022-12-27553Marlies4Chiefs3BLXSommaire du match
84 - 2022-12-29568Baby Hawks3Chiefs6BWSommaire du match
86 - 2022-12-31589Minnesota3Chiefs2BLXXSommaire du match
89 - 2023-01-03602Chiefs2Marlies5ALSommaire du match
91 - 2023-01-05616Chiefs2Spiders5ALSommaire du match
93 - 2023-01-07633Chiefs2Rocket5ALSommaire du match
94 - 2023-01-08642Chiefs3Minnesota1AWSommaire du match
96 - 2023-01-10655Heat2Chiefs4BWSommaire du match
98 - 2023-01-12670Heat4Chiefs3BLXSommaire du match
100 - 2023-01-14688Thunder4Chiefs3BLXXSommaire du match
102 - 2023-01-16704Senators4Chiefs2BLSommaire du match
105 - 2023-01-19724Chill3Chiefs5BWSommaire du match
107 - 2023-01-21741Baby Hawks6Chiefs3BLSommaire du match
110 - 2023-01-24761Crunch3Chiefs5BWSommaire du match
112 - 2023-01-26778Chiefs1Jayhawks6ALSommaire du match
114 - 2023-01-28788Chiefs3Monsters4ALXSommaire du match
116 - 2023-01-30801Chiefs4Oceanics5ALSommaire du match
128 - 2023-02-11842Jayhawks3Chiefs5BWSommaire du match
131 - 2023-02-14859Cabaret Lady Mary Ann2Chiefs3BWSommaire du match
133 - 2023-02-16874Spiders6Chiefs2BLSommaire du match
135 - 2023-02-18883Monsters4Chiefs3BLXXSommaire du match
136 - 2023-02-19897Chiefs4Senators5ALXXSommaire du match
138 - 2023-02-21911Chiefs1Caroline4ALSommaire du match
140 - 2023-02-23926Comets4Chiefs3BLSommaire du match
142 - 2023-02-25943Manchots5Chiefs6BWSommaire du match
145 - 2023-02-28964Seattle4Chiefs2BLSommaire du match
147 - 2023-03-02983Chiefs2Sharks3ALXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-03-041000Chiefs5Monarchs3AWSommaire du match
152 - 2023-03-071020Chiefs4Jayhawks1AWSommaire du match
154 - 2023-03-091032Sharks4Chiefs5BWXXSommaire du match
156 - 2023-03-111045Chiefs4Monsters3AWSommaire du match
157 - 2023-03-121055Las Vegas3Chiefs4BWSommaire du match
160 - 2023-03-151078Minnesota2Chiefs1BLXSommaire du match
162 - 2023-03-171093Chiefs7Bears4AWSommaire du match
164 - 2023-03-191111Oceanics6Chiefs5BLSommaire du match
166 - 2023-03-211129Cougars5Chiefs3BLSommaire du match
168 - 2023-03-231141Chiefs1Cougars5ALSommaire du match
170 - 2023-03-251164Chiefs3Admirals1AWSommaire du match
171 - 2023-03-261169Chiefs4Monarchs2AWSommaire du match
173 - 2023-03-281181Comets4Chiefs3BLSommaire du match
175 - 2023-03-301196Chiefs2Baby Hawks7ALSommaire du match
177 - 2023-04-011204Chiefs4Chill2AWSommaire du match
178 - 2023-04-021218Bruins5Chiefs6BWXSommaire du match
180 - 2023-04-041234Phantoms6Chiefs2BLSommaire du match
182 - 2023-04-061251Wolf Pack6Chiefs4BLSommaire du match
184 - 2023-04-081258Chiefs3Minnesota0AWSommaire du match
188 - 2023-04-121296Stars2Chiefs5BWSommaire du match
189 - 2023-04-131307Chiefs1Stars6ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance49,98527,250
Assistance PCT60.96%66.46%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1884 - 62.79% 74,250$3,044,250$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,565,230$ 1,768,847$ 1,768,847$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,310$ 1,565,230$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 9,310$ 0$




Chiefs Leaders statistiques (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 (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