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Connexion

Chiefs
GP: 34 | W: 22 | L: 11 | OTL: 1 | P: 45
GF: 150 | GA: 120 | PP%: 34.65% | PK%: 76.47%
DG: Ricky Doyon | Morale : 50 | Moyenne d’équipe : 59
Prochains matchs #531 vs Oceanics

Centre de jeu
Baby Hawks
24-7-2, 50pts
5
FINAL
4 Chiefs
22-11-1, 45pts
Team Stats
W3SéquenceW1
11-4-1Fiche domicile13-5-0
13-3-1Fiche domicile9-6-1
8-2-0Derniers 10 matchs8-2-0
5.18Buts par match 4.41
3.21Buts contre par match 3.53
32.63%Pourcentage en avantage numérique34.65%
72.31%Pourcentage en désavantage numérique76.47%
Jayhawks
8-23-1, 17pts
2
FINAL
5 Chiefs
22-11-1, 45pts
Team Stats
L1SéquenceW1
4-13-1Fiche domicile13-5-0
4-10-0Fiche domicile9-6-1
2-8-0Derniers 10 matchs8-2-0
3.31Buts par match 4.41
5.66Buts contre par match 3.53
20.51%Pourcentage en avantage numérique34.65%
50.42%Pourcentage en désavantage numérique76.47%
Oceanics
21-9-2, 44pts
2025-12-17
Chiefs
22-11-1, 45pts
Statistiques d’équipe
W3SéquenceW1
10-4-2Fiche domicile13-5-0
11-5-0Fiche visiteur9-6-1
9-1-010 derniers matchs8-2-0
5.72Buts par match 4.41
4.13Buts contre par match 4.41
32.76%Pourcentage en avantage numérique34.65%
76.47%Pourcentage en désavantage numérique76.47%
Wolf Pack
24-11-0, 48pts
2025-12-18
Chiefs
22-11-1, 45pts
Statistiques d’équipe
W5SéquenceW1
11-6-0Fiche domicile13-5-0
13-5-0Fiche visiteur9-6-1
7-3-010 derniers matchs8-2-0
4.49Buts par match 4.41
3.17Buts contre par match 4.41
41.12%Pourcentage en avantage numérique34.65%
72.22%Pourcentage en désavantage numérique76.47%
Chiefs
22-11-1, 45pts
2025-12-20
Cabaret Lady Mary Ann
11-20-1, 23pts
Statistiques d’équipe
W1SéquenceW1
13-5-0Fiche domicile4-13-1
9-6-1Fiche visiteur7-7-0
8-2-010 derniers matchs3-7-0
4.41Buts par match 4.13
3.53Buts contre par match 4.13
34.65%Pourcentage en avantage numérique24.44%
76.47%Pourcentage en désavantage numérique61.54%
Meneurs d'équipe
Buts
Ryan Winterton
31
Passes
Ryan Winterton
33
Points
Ryan Winterton
64
Plus/Moins
Ryan Winterton
11
Victoires
Pheonix Copley
21
Pourcentage d’arrêts
Pheonix Copley
0.869

Statistiques d’équipe
Buts pour
150
4.41 GFG
Tirs pour
776
22.82 Avg
Pourcentage en avantage numérique
34.7%
35 GF
Début de zone offensive
31.2%
Buts contre
120
3.53 GAA
Tirs contre
895
26.32 Avg
Pourcentage en désavantage numérique
76.5%%
16 GA
Début de la zone défensive
36.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance1,936
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 50
Espoirs26


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
1Sam Colangelo (R)XX100.00654078738581656946616763695550050660222925,000$
2Brett Berard (R)X100.00644274756874646942636560705150050640222867,500$
3Samuel Fagemo (R)XX100.00584269676466646745606654675350050610241825,000$
4Ryan Winterton (R)XX100.00654271716362596444606164655050050610212828,333$
5Justin Hryckowian (R)X100.00614269696264626243615962635250050600232725,000$
6Avery Hayes (R)X100.0059446669596260624258595963505005059N0214995,000$
7Jason Polin (R)X100.00604172656465625842535459595450050580251620,000$
8Nikita Grebenkin (R)X100.00594262626261606042595755605050050580213875,000$
9Matvey Petrov (R)X100.00614270646463616042535554595050050570212803,333$
10Spencer Stastney (R)X100.0056407975758367664062617067595005066N0242620,000$
11Nikolas MatinpaloX100.0064417469787666664060606765565005065N0262825,000$
12Hunter Brzustewicz (R)X100.00594169646260586240625664615050050600193950,000$
13Vsevolod Komarov (R)X100.00644857626561606240595564605050050600203835,000$
14Cade Webber (R)X100.00644264606763625840545464575150050590231620,000$
15Christoffer Sedoff (R)X100.00614269636764626140565460595150050590221620,000$
16Rodwin Dionicio (R)X100.00604262626259575840545659585050050580203950,000$
Rayé
1Oskar Pettersson (R)X100.00634171626661585941535455595050050570202835,000$
2Eduard Sale (R)X100.00614168626158565942595559585050050570193886,667$
3Ondrej Becher (R)X100.00574068616261605952565654585050050570203865,000$
4Daniil Gutik (R)X100.00394193626731333543183939475454050420232620,000$
MOYENNE D’ÉQUIPE100.0060427066666460614256575961525005059
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
1Pheonix Copley100.007375777274747472747571836805068N0321925,000$
2Luke Cavallin (R)100.006356566661595955606051525005055N0232625,000$
Rayé
1Damian Clara (R)100.0058575769605756545758545050050540193846,667$
2Tomas Suchanek (R)100.0063535352575862586058495050050530212870,000$
MOYENNE D’ÉQUIPE100.006460616563626360636356595505058
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
1Ryan WintertonChiefs (Stl)C/RW3331336411120616591276534.07%1578523.8011152622831011484249.19%9271415041.63000001032
2Sam ColangeloChiefs (Stl)LW/RW332132530755543106327119.81%1875022.7510152528830111544054.00%503523011.4101010354
3Brett BerardChiefs (Stl)LW33201939340413986395523.26%763219.174265520003384057.89%192311101.2301000405
4Spencer StastneyChiefs (Stl)D3322931810042564417414.55%3589927.2429111186011160100%01842000.6900000022
5Justin HryckowianChiefs (Stl)C331310231135494264202920.31%1564919.680112530001392044.35%345818000.7100100211
6Avery HayesChiefs (Stl)RW33913220255443352175017.31%1051515.63022116000011047.16%17688000.8500001131
7Samuel FagemoChiefs (Stl)LW/RW3311920-680423065204416.92%850515.3110127000072166.67%181312000.7900000212
8Nikita GrebenkinChiefs (Stl)RW3381220725542332762429.63%954316.4800000000002155.17%29614000.7400010002
9Nikolas MatinpaloChiefs (Stl)D331181911271542454318132.33%3879424.0616798400005800100.00%11034000.4800003011
10Matvey PetrovChiefs (Stl)LW339817580472348121818.75%1252315.8600000000000141.67%12311000.6500000011
11Vsevolod KomarovChiefs (Stl)D33099-4195303886120%2864219.47011049000031000%0526000.2800001001
12Hunter BrzustewiczChiefs (Stl)D33156-4752735167126.25%2664719.61123749000035000%0630000.1900010000
13Cade WebberChiefs (Stl)D33044-1140142513360%1146414.07000030000150037.50%8215000.1700000010
14Jason PolinChiefs (Stl)RW30224220151053140.00%41986.6200000000000185.71%744000.4000000000
15Christoffer SedoffChiefs (Stl)D33033-212091810260%1348714.770000210000150030.43%23413000.1200000000
16Rodwin DionicioChiefs (Stl)D30011040360000%31856.170000000002000%101000.1100000000
17Eduard SaleChiefs (Stl)LW2000000100010%1136.820000000000000%01000000000000
18Ondrej BecherChiefs (Stl)C2000-300422110%12914.5800002000000040.00%100100000000000
Statistiques d’équipe totales ou en moyenne526128207335281974556854368023044918.82%254926617.6230538387595123741020648.22%1626160278150.7202135221822
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
1Pheonix CopleyChiefs (Stl)33211110.8693.46194101112853409200.5002330001
2Luke CavallinChiefs (Stl)30000.8185.114700422120000033000
Statistiques d’équipe totales ou en moyenne36211110.8673.501988011168754212023333001


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Avery Hayes (contrat à 1 volet)Chiefs (Stl)RW212002-10-10USAYes174 Lbs5 ft10YesNoFree AgentNoNo42025-09-21FalseFalsePro & Farm995,000$75,000$47,409$No995,000$995,000$995,000$------995,000$995,000$995,000$------NoNoNo------Lien
Brett BerardChiefs (Stl)LW222002-09-09USAYes175 Lbs5 ft9NoNoProspectNoNo22024-06-25FalseFalsePro & Farm867,500$0$0$No867,500$--------867,500$--------No--------Lien
Cade WebberChiefs (Stl)D232001-01-05USAYes212 Lbs6 ft7NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Christoffer SedoffChiefs (Stl)D222002-02-20FINYes209 Lbs6 ft2NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Damian ClaraChiefs (Stl)G192005-01-13ITAYes214 Lbs6 ft6NoNoDraftNoNo32025-07-10FalseFalsePro & Farm846,667$0$0$No846,667$846,667$-------846,667$846,667$-------NoNo-------Lien
Daniil Gutik (contrat à 1 volet)Chiefs (Stl)LW232001-08-31RUSYes179 Lbs6 ft3NoNoFree AgentNoNo22024-09-23FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Eduard SaleChiefs (Stl)LW192005-03-10CZEYes174 Lbs6 ft2NoNoDraftNoNo32025-07-10FalseFalsePro & Farm886,667$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------Lien
Hunter BrzustewiczChiefs (Stl)D192004-11-29USAYes190 Lbs6 ft0NoNoDraftNoNo32025-07-10FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Jason Polin (contrat à 1 volet)Chiefs (Stl)RW251999-06-17USAYes198 Lbs6 ft0NoNoN/AYesYes1FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Justin Hryckowian (contrat à 1 volet)Chiefs (Stl)C232001-02-23CANYes185 Lbs5 ft10NoNoFree AgentNoNo22024-09-23FalseFalsePro & Farm725,000$0$0$No725,000$--------725,000$--------No--------Lien
Luke Cavallin (contrat à 1 volet)Chiefs (Stl)G232001-04-29CANYes198 Lbs6 ft2YesNoFree AgentNoNo22025-09-21FalseFalsePro & Farm625,000$0$0$No625,000$--------625,000$--------No--------Lien
Matvey PetrovChiefs (Stl)LW212003-03-12RUSYes179 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm803,333$0$0$No803,333$--------803,333$--------No--------Lien
Nikita GrebenkinChiefs (Stl)RW212003-05-02RUSYes183 Lbs6 ft2NoNoProspectNoNo32025-07-10FalseFalsePro & Farm875,000$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------Lien
Nikolas Matinpalo (contrat à 1 volet)Chiefs (Stl)D261998-10-05FINNo211 Lbs6 ft3YesNoFree AgentYesYes22025-09-21FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Lien
Ondrej BecherChiefs (Stl)C202004-02-22CZEYes187 Lbs6 ft1NoNoDraftNoNo32025-07-10FalseFalsePro & Farm865,000$0$0$No865,000$865,000$-------865,000$865,000$-------NoNo-------Lien
Oskar PetterssonChiefs (Stl)RW202004-02-04SWEYes198 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm835,000$0$0$No835,000$--------835,000$--------No--------Lien
Pheonix CopleyChiefs (Stl)G321992-01-18USANo198 Lbs6 ft4YesNoFree AgentYesYes12025-09-28FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Rodwin DionicioChiefs (Stl)D202004-03-30SUIYes194 Lbs6 ft2NoNoDraftNoNo32025-07-10FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Ryan WintertonChiefs (Stl)C/RW212003-09-04CANYes174 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm828,333$0$0$No828,333$--------828,333$--------No--------Lien
Sam ColangeloChiefs (Stl)LW/RW222001-12-26USAYes211 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Samuel FagemoChiefs (Stl)LW/RW242000-03-14SWEYes201 Lbs6 ft0NoNoFree AgentNoYes12024-09-06FalseFalsePro & Farm825,000$0$0$No---------------------------Lien
Spencer StastneyChiefs (Stl)D242000-01-04USAYes184 Lbs6 ft0YesNoFree AgentNoYes22025-09-14FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Tomas SuchanekChiefs (Stl)G212003-04-30CZEYes185 Lbs6 ft1NoNoDraftNoNo22024-06-25FalseFalsePro & Farm870,000$0$0$No870,000$--------870,000$--------No--------Lien
Vsevolod KomarovChiefs (Stl)D202004-01-11RUSYes207 Lbs6 ft4NoNoDraftNoNo32025-07-10FalseFalsePro & Farm835,000$0$0$No835,000$835,000$-------835,000$835,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2422.13193 Lbs6 ft22.17806,563$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam ColangeloRyan Winterton40122
2Brett BerardJustin HryckowianNikita Grebenkin30122
3Samuel FagemoAvery HayesMatvey Petrov20122
4Matvey PetrovRyan WintertonJason Polin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Spencer StastneyNikolas Matinpalo40122
2Hunter BrzustewiczVsevolod Komarov30122
3Cade WebberChristoffer Sedoff20122
4Rodwin DionicioSpencer Stastney10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam ColangeloRyan Winterton60122
2Brett BerardJustin HryckowianRyan Winterton40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Spencer StastneyNikolas Matinpalo60122
2Hunter BrzustewiczVsevolod Komarov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan WintertonSam Colangelo60122
2Justin HryckowianBrett Berard40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Spencer StastneyNikolas Matinpalo60122
2Hunter BrzustewiczVsevolod Komarov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Winterton60122Spencer StastneyNikolas Matinpalo60122
2Justin Hryckowian40122Hunter BrzustewiczVsevolod Komarov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan WintertonSam Colangelo60122
2Justin HryckowianBrett Berard40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Spencer StastneyNikolas Matinpalo60122
2Hunter BrzustewiczVsevolod Komarov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam ColangeloRyan WintertonSpencer StastneyNikolas Matinpalo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam ColangeloRyan WintertonSpencer StastneyNikolas Matinpalo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Winterton, Justin Hryckowian, Avery HayesRyan Winterton, Justin HryckowianRyan Winterton
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cade Webber, Christoffer Sedoff, Rodwin DionicioCade WebberCade Webber, Christoffer Sedoff
Tirs de pénalité
Sam Colangelo, , Brett Berard, Samuel Fagemo, Ryan Winterton
Gardien
#1 : Pheonix Copley, #2 : Luke Cavallin


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
1Admirals11000000734110000007340000000000021.0007111800296354428184282304925420155360.00%5260.00%124853146.70%28362545.28%29154553.39%627287706318716373
2Baby Hawks2020000058-32020000058-30000000000000.000571200296354447184282304968274425120.00%20100.00%024853146.70%28362545.28%29154553.39%627287706318716373
3Bears11000000422000000000001100000042221.0004711002963544161842823049278418200.00%20100.00%024853146.70%28362545.28%29154553.39%627287706318716373
4Bruins21001000743100010003211100000042241.00071118002963544361842823049371626383266.67%30100.00%024853146.70%28362545.28%29154553.39%627287706318716373
5Comets2110000089-11010000046-21100000043120.5008111900296354448184282304961136394125.00%3233.33%024853146.70%28362545.28%29154553.39%627287706318716373
6Cougars20002000642100010005411000100010141.00069150129635444418428230493181025200.00%50100.00%024853146.70%28362545.28%29154553.39%627287706318716373
7Crunch1010000026-4000000000001010000026-400.0002350029635442118428230492386202150.00%3166.67%024853146.70%28362545.28%29154553.39%627287706318716373
8Firebirds11000000624110000006240000000000021.000691500296354420184282304923114182150.00%20100.00%024853146.70%28362545.28%29154553.39%627287706318716373
9Heat2110000069-3110000004221010000027-520.500681400296354444184282304960182275120.00%10100.00%024853146.70%28362545.28%29154553.39%627287706318716373
10Jayhawks220000001257110000005231100000073441.000122032002963544621842823049541610299777.78%50100.00%024853146.70%28362545.28%29154553.39%627287706318716373
11Las Vegas1010000013-21010000013-20000000000000.000123002963544221842823049167421500.00%2150.00%024853146.70%28362545.28%29154553.39%627287706318716373
12Manchots1010000037-4000000000001010000037-400.0003690029635442118428230493112819100.00%4175.00%024853146.70%28362545.28%29154553.39%627287706318716373
13Marlies1000000123-1000000000001000000123-110.5002460029635441418428230492711223200.00%10100.00%024853146.70%28362545.28%29154553.39%627287706318716373
14Minnesota11000000936110000009360000000000021.00091726002963544221842823049207214200.00%10100.00%024853146.70%28362545.28%29154553.39%627287706318716373
15Monarchs11000000761110000007610000000000021.0007111800296354431184282304927106152150.00%30100.00%024853146.70%28362545.28%29154553.39%627287706318716373
16Monsters11000000523000000000001100000052321.00058130029635443018428230492388174125.00%4175.00%024853146.70%28362545.28%29154553.39%627287706318716373
17Oil Kings11000000312110000003120000000000021.0003690029635441918428230491960265120.00%000%024853146.70%28362545.28%29154553.39%627287706318716373
18Phantoms220000001367110000004221100000094541.00013223500296354444184282304958176495120.00%3166.67%024853146.70%28362545.28%29154553.39%627287706318716373
19Roadrunners2110000010912110000010910000000000020.500101828002963544531842823049701926379222.22%3233.33%024853146.70%28362545.28%29154553.39%627287706318716373
20Rocket11000000835000000000001100000083521.000811190029635441918428230492629177571.43%2150.00%024853146.70%28362545.28%29154553.39%627287706318716373
21Senators220000001165110000007341100000043141.000111627002963544341842823049481524429444.44%7271.43%024853146.70%28362545.28%29154553.39%627287706318716373
22Sound Tigers1010000035-2000000000001010000035-200.000358002963544191842823049294612400.00%30100.00%024853146.70%28362545.28%29154553.39%627287706318716373
23Spiders1010000057-2000000000001010000057-200.000591400296354434184282304945126213266.67%3166.67%024853146.70%28362545.28%29154553.39%627287706318716373
24Stars10001000321100010003210000000000021.0003580029635442418428230492252172150.00%110.00%024853146.70%28362545.28%29154553.39%627287706318716373
25Wolf Pack1010000045-1000000000001010000045-100.0004610002963544241842823049258019200.00%000%024853146.70%28362545.28%29154553.39%627287706318716373
Total3418110400115012030181050300083582516860100167625450.66215024239201296354477618428230498952722016201013534.65%681676.47%124853146.70%28362545.28%29154553.39%627287706318716373
_Since Last GM Reset3418110400115012030181050300083582516860100167625450.66215024239201296354477618428230498952722016201013534.65%681676.47%124853146.70%28362545.28%29154553.39%627287706318716373
_Vs Conference1786030006955141154020004533126320100024222220.64769108177012963544392184282304942312859295501938.00%27677.78%024853146.70%28362545.28%29154553.39%627287706318716373
_Vs Division9230200038335723010003223920001000610-480.4443858960029635442121842823049231694216128828.57%16568.75%124853146.70%28362545.28%29154553.39%627287706318716373

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3445W115024239277689527220162001
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3418114001150120
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1810530008358
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
168610016762
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1013534.65%681676.47%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
18428230492963544
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
24853146.70%28362545.28%29154553.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
627287706318716373


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 - 2025-10-0915Minnesota3Chiefs9WSommaire du match
5 - 2025-10-1123Chiefs2Heat7LSommaire du match
7 - 2025-10-1346Chiefs4Comets3WSommaire du match
9 - 2025-10-1559Baby Hawks3Chiefs1LSommaire du match
12 - 2025-10-1883Stars2Chiefs3WXSommaire du match
15 - 2025-10-21104Monarchs6Chiefs7WSommaire du match
17 - 2025-10-23117Roadrunners2Chiefs7WSommaire du match
19 - 2025-10-25133Chiefs1Cougars0WXSommaire du match
21 - 2025-10-27148Chiefs3Manchots7LSommaire du match
22 - 2025-10-28158Cougars4Chiefs5WXSommaire du match
24 - 2025-10-30172Comets6Chiefs4LSommaire du match
26 - 2025-11-01189Chiefs5Monsters2WSommaire du match
28 - 2025-11-03200Oil Kings1Chiefs3WSommaire du match
30 - 2025-11-05214Chiefs4Bears2WSommaire du match
31 - 2025-11-06219Chiefs2Crunch6LSommaire du match
33 - 2025-11-08239Firebirds2Chiefs6WSommaire du match
36 - 2025-11-11260Heat2Chiefs4WSommaire du match
39 - 2025-11-14281Phantoms2Chiefs4WSommaire du match
40 - 2025-11-15292Las Vegas3Chiefs1LSommaire du match
43 - 2025-11-18307Chiefs2Marlies3LXXSommaire du match
45 - 2025-11-20324Chiefs9Phantoms4WSommaire du match
47 - 2025-11-22336Chiefs3Sound Tigers5LSommaire du match
49 - 2025-11-24355Chiefs4Wolf Pack5LSommaire du match
51 - 2025-11-26364Chiefs5Spiders7LSommaire du match
53 - 2025-11-28382Senators3Chiefs7WSommaire du match
54 - 2025-11-29398Roadrunners7Chiefs3LSommaire du match
56 - 2025-12-01409Admirals3Chiefs7WSommaire du match
59 - 2025-12-04426Chiefs4Bruins2WSommaire du match
61 - 2025-12-06445Chiefs4Senators3WSommaire du match
62 - 2025-12-07457Chiefs8Rocket3WSommaire du match
64 - 2025-12-09472Bruins2Chiefs3WXSommaire du match
66 - 2025-12-11487Chiefs7Jayhawks3WSommaire du match
67 - 2025-12-12493Baby Hawks5Chiefs4LSommaire du match
70 - 2025-12-15517Jayhawks2Chiefs5WSommaire du match
72 - 2025-12-17531Oceanics-Chiefs-
73 - 2025-12-18541Wolf Pack-Chiefs-
75 - 2025-12-20554Chiefs-Cabaret Lady Mary Ann-
77 - 2025-12-22571Chiefs-Thunder-
82 - 2025-12-27595Jayhawks-Chiefs-
84 - 2025-12-29610Crunch-Chiefs-
86 - 2025-12-31629Chiefs-Monsters-
88 - 2026-01-02640Las Vegas-Chiefs-
89 - 2026-01-03648Rocket-Chiefs-
93 - 2026-01-07679Chiefs-Baby Hawks-
95 - 2026-01-09696Chiefs-Roadrunners-
96 - 2026-01-10710Chiefs-Las Vegas-
99 - 2026-01-13730Caroline-Chiefs-
102 - 2026-01-16751Thunder-Chiefs-
104 - 2026-01-18769Chiefs-Oil Kings-
106 - 2026-01-20785Chiefs-Oceanics-
109 - 2026-01-23804Chiefs-Stars-
110 - 2026-01-24816Monarchs-Chiefs-
113 - 2026-01-27836Stars-Chiefs-
115 - 2026-01-29852Cabaret Lady Mary Ann-Chiefs-
117 - 2026-01-31868Monsters-Chiefs-
119 - 2026-02-02880Chiefs-Jayhawks-
121 - 2026-02-04899Chiefs-Stars-
143 - 2026-02-26925Firebirds-Chiefs-
145 - 2026-02-28943Spiders-Chiefs-
146 - 2026-03-01951Chiefs-Minnesota-
149 - 2026-03-04974Chiefs-Firebirds-
151 - 2026-03-06989Chiefs-Sags-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153 - 2026-03-081006Chiefs-Admirals-
155 - 2026-03-101019Sound Tigers-Chiefs-
157 - 2026-03-121033Chiefs-Caroline-
158 - 2026-03-131042Oil Kings-Chiefs-
160 - 2026-03-151057Chiefs-Oceanics-
163 - 2026-03-181081Chiefs-Heat-
166 - 2026-03-211107Chiefs-Comets-
169 - 2026-03-241128Bears-Chiefs-
171 - 2026-03-261143Sags-Chiefs-
173 - 2026-03-281160Marlies-Chiefs-
175 - 2026-03-301177Chiefs-Sags-
177 - 2026-04-011189Chiefs-Monarchs-
179 - 2026-04-031206Chiefs-Admirals-
181 - 2026-04-051228Chiefs-Monsters-
183 - 2026-04-071238Monsters-Chiefs-
185 - 2026-04-091253Oceanics-Chiefs-
187 - 2026-04-111266Chiefs-Baby Hawks-
189 - 2026-04-131286Minnesota-Chiefs-
190 - 2026-04-141299Manchots-Chiefs-
192 - 2026-04-161309Chiefs-Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance22,70112,143
Assistance PCT63.06%67.46%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-14 1936 - 64.53% 91,861$1,653,492$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
576,735$ 1,494,750$ 1,494,750$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,745$ 576,735$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-1,286,049$ 122 7,745$ 944,890$




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