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Broncos
GP: 6 | W: 3 | L: 3
GF: 24 | GA: 30 | PP%: 10.00% | PK%: 87.50%
DG: Alain Lefebvre | Morale : 41 | Moyenne d’équipe : 58
Prochains matchs #50 vs Wombats

Centre de jeu
Broncos
3-3-0, 6pts
3
FINAL
2 Wombats
3-3-0, 6pts
Team Stats
L1SéquenceW1
1-2-0Fiche domicile1-2-0
2-1-0Fiche domicile2-1-0
3-3-0Derniers 10 matchs3-3-0
4.00Buts par match 5.00
5.00Buts contre par match 4.00
10.00%Pourcentage en avantage numérique12.50%
87.50%Pourcentage en désavantage numérique90.00%
Wombats
3-3-0, 6pts
8
FINAL
5 Broncos
3-3-0, 6pts
Team Stats
W1SéquenceL1
1-2-0Fiche domicile1-2-0
2-1-0Fiche domicile2-1-0
3-3-0Derniers 10 matchs3-3-0
5.00Buts par match 4.00
4.00Buts contre par match 5.00
12.50%Pourcentage en avantage numérique10.00%
90.00%Pourcentage en désavantage numérique87.50%
Broncos
3-3-0, 6pts
Jour 13
Wombats
3-3-0, 6pts
Statistiques d’équipe
L1SéquenceW1
1-2-0Fiche domicile1-2-0
2-1-0Fiche visiteur2-1-0
3-3-010 derniers matchs3-3-0
4.00Buts par match 5.00
5.00Buts contre par match 5.00
10.00%Pourcentage en avantage numérique12.50%
87.50%Pourcentage en désavantage numérique90.00%
Meneurs d'équipe
Rasmus KupariButs
Rasmus Kupari
6
Drew HellesonPasses
Drew Helleson
7
Drew HellesonPoints
Drew Helleson
8
Yakov TreninPlus/Moins
Yakov Trenin
4
Jonas JohanssonVictoires
Jonas Johansson
2
Aleksei KolosovPourcentage d’arrêts
Aleksei Kolosov
0.903

Statistiques d’équipe
Buts pour
24
4.00 GFG
Tirs pour
203
33.83 Avg
Pourcentage en avantage numérique
10.0%
2 GF
Début de zone offensive
37.3%
Buts contre
30
5.00 GAA
Tirs contre
232
38.67 Avg
Pourcentage en désavantage numérique
87.5%%
2 GA
Début de la zone défensive
42.2%
Informations de l'équipe

Directeur généralAlain Lefebvre
EntraîneurMartin St. Louis
DivisionMetropolitan
ConférenceEastern Conference
CapitaineHendrix Lapierre
Assistant #1Conor Geekie
Assistant #2Emil Andrae


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 50
Espoirs14


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
1Matt SavoieXX100.00515494706274916459636475545763023640224500,000$
2Jonatan BerggrenX100.00625690707072867550676857516363054640251500,000$
3Conor Geekie (R) (A)XX100.00795785707871696957666759515659075630214500,000$
4Yakov TreninXX100.00876279647271866250636069506970059630291500,000$
5Kasperi KapanenX100.00735688646970796254645760507169064610291500,000$
6Rasmus KupariXX100.00735688647267736173605867506567065610263500,000$
7Marat Khusnutdinov (R)XX100.00635589666370855960625364506063061600232500,000$
8Christian FischerX100.00796593657668656350625063507070060600292500,000$
9Hendrix Lapierre (C)XX100.00565593656564566254665056506063036570241500,000$
10Fraser Minten (R)X100.00715595627265565964545554505760065560212500,000$
11Karsen DorwartX100.00504079576950515052505050505759020510233750,000$
12Drew Helleson (R)X100.00796472647870737050635772566165042650254500,000$
13Urho VaakanainenX100.00595983637470707450705472556668060640272500,000$
14Emil Andrae (R) (A)X100.00725880696872666950625468556163054630242500,000$
15Jacob Bernard-DockerX100.00666685607163636850615568556567070610251500,000$
16Simon NemecX100.00506075677065586750575767565761066600222500,000$
17Daemon HuntX100.00493595597450505050495049556164028520233500,000$
Rayé
1Olle LycksellX100.00515394585563555350604951506566042530263500,000$
2Raphael LavoieXX100.00575788577850524950494949506161019510253500,000$
3Michael MilneX100.00543589576550505050505050505658019510234500,000$
4Ryan SuzukiX100.00503589577050505050505050506060021510244500,000$
5Jaret Anderson-DolanXX100.00645972577150515050505050506363020510261500,000$
6Brad LambertXX100.00504079576150525050505050505356019500222500,000$
7Ryan GreeneX100.00503589576150525050505050505357019500224500,000$
8David JiricekX100.00546076597650535150495050565660038530221500,000$
MOYENNE D’ÉQUIPE100.0062538662706264595358545952616304457
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
1Jonas Johansson100.0071697081686463646152607172014650301500,000$
2Aleksei Kolosov (R)100.0060686570636160565450505758021590243950,000$
Rayé
MOYENNE D’ÉQUIPE100.006669687666636260585155646501862
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Martin St. Louis8096997070701CAN505500,000$


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
1Drew HellesonBroncos (HAR)D517826018593711.11%911723.4401131400008000%000001.3700000010
2Conor GeekieBroncos (HAR)C/RW6437-44013142361317.39%212821.36011318000070047.02%16800001.0900000001
3Christian FischerBroncos (HAR)RW61561408512398.33%18914.8900001000020050.00%1400001.3400000000
4Rasmus KupariBroncos (HAR)C/RW6606-420217227827.27%19015.0600003000000169.09%11000001.3300000110
5Jonatan BerggrenBroncos (HAR)RW64262004122551816.00%314524.230007190000192070.00%2000000.8300000001
6Matt SavoieBroncos (HAR)C/RW53252000261961415.79%212124.290002140000160050.62%16200000.8200000000
7Jacob Bernard-DockerBroncos (HAR)D6055-2207713280%712520.90000817000012000%000000.8000000000
8Urho VaakanainenBroncos (HAR)D6134200211126108.33%514323.93112818000014000%000000.5600000000
9Marat KhusnutdinovBroncos (HAR)C/LW6224-9005101541213.33%311819.68000215000001071.43%700000.6800000000
10Simon NemecBroncos (HAR)D6134-74047102410.00%79415.800001400005000%000000.8400000000
11Yakov TreninBroncos (HAR)C/LW613442016416596.25%111519.28112419000080042.86%700000.6900000010
12Emil AndraeBroncos (HAR)D602216019912360%712721.31000517000011000%000000.3100000000
13Kasperi KapanenBroncos (HAR)RW6022-94077116210%011819.70000115000000040.00%500000.3400000000
14Daemon HuntBroncos (HAR)D6011-600511000%89415.720000100005000%000000.2100000000
15Isaak PhillipsHartford WhalersD1000-200300000%11616.550000000000000%00000000000000
16Fraser MintenBroncos (HAR)C6000000000000%140.70000010000000100.00%20000000000000
17Hendrix LapierreBroncos (HAR)C/RW6000-200350230%1325.4500000000020037.14%350000000000000
18Karsen DorwartBroncos (HAR)LW6000100023150%08414.0600000000000040.00%50000000000000
19Ryan GreeneBroncos (HAR)C1000000000000%000.420000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne102244064-303401161422036114711.82%59176717.332464418400001193153.17%53600000.7200000132
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
1Jonas JohanssonBroncos (HAR)62100.8565.7324100231600000060100
2Aleksei KolosovBroncos (HAR)31200.9033.56118007720000006000
Statistiques d’équipe totales ou en moyenne93300.8715.003600030232000066100


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
Aleksei KolosovBroncos (HAR)G242002-01-04BLRYes185 Lbs6 ft1NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm950,000$95,000$13,571$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Brad LambertBroncos (HAR)C/RW222003-12-19FINNo173 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Christian FischerBroncos (HAR)RW291997-04-15USANo212 Lbs6 ft2NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Conor GeekieBroncos (HAR)C/RW212004-05-05CANYes207 Lbs6 ft4NoNoFree AgentNoNo42025-08-03FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Daemon HuntBroncos (HAR)D232002-05-15CANNo201 Lbs6 ft1NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
David JiricekBroncos (HAR)D222003-11-28CZENo204 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Drew HellesonBroncos (HAR)D252001-03-26USAYes213 Lbs6 ft3NoNoFree AgentNoNo42025-08-03FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Emil AndraeBroncos (HAR)D242002-02-23SWEYes189 Lbs5 ft9NoNoTrade2024-08-15NoNo22024-08-10FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Fraser MintenBroncos (HAR)C212004-07-05CANYes195 Lbs6 ft2NoNoTrade2025-12-20NoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Hendrix LapierreBroncos (HAR)C/RW242002-02-09CANNo180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Jacob Bernard-DockerBroncos (HAR)D252000-06-30CANNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Jaret Anderson-DolanBroncos (HAR)LW/RW261999-09-12CANNo200 Lbs5 ft11NoNoTrade2024-08-25NoNo1FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Jonas JohanssonBroncos (HAR)G301995-09-19SWENo218 Lbs6 ft5NoNoTrade2025-08-05NoNo12025-08-04FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Jonatan BerggrenBroncos (HAR)RW252000-07-16SWENo197 Lbs5 ft11NoNoTrade2025-06-25NoNo1FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Karsen DorwartBroncos (HAR)LW232002-09-17USANo194 Lbs6 ft1NoNoFree AgentNoNo32025-08-17FalseFalsePro & Farm750,000$75,000$10,714$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Kasperi KapanenBroncos (HAR)RW291996-07-23FINNo194 Lbs6 ft1NoNoN/ANoNo12024-08-19FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Marat KhusnutdinovBroncos (HAR)C/LW232002-07-17RUSYes176 Lbs5 ft11NoNoTrade2025-01-24NoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Matt SavoieBroncos (HAR)C/RW222004-01-01CANNo179 Lbs5 ft9NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Michael MilneBroncos (HAR)LW232002-09-21CANNo185 Lbs5 ft11NoNoFree AgentNoNo42025-08-03FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Olle LycksellBroncos (HAR)RW261999-08-24SWENo163 Lbs5 ft10NoNoN/ANoNo32024-08-13FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Raphael LavoieBroncos (HAR)C/RW252000-09-25CANNo215 Lbs6 ft4NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Rasmus KupariBroncos (HAR)C/RW262000-03-15FINNo201 Lbs6 ft2NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Ryan GreeneBroncos (HAR)C222003-10-21CANNo174 Lbs6 ft1NoNoFree AgentNoNo42025-08-03FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Ryan SuzukiBroncos (HAR)C242001-05-28CANNo196 Lbs6 ft1NoNoFree AgentNoNo42025-08-03FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Simon NemecBroncos (HAR)D222004-02-15SVKNo190 Lbs6 ft1NoNoTrade2026-03-06NoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Urho VaakanainenBroncos (HAR)D271999-01-01FINNo205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Yakov TreninBroncos (HAR)C/LW291997-01-13RUSNo201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2724.52194 Lbs6 ft12.37525,926$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Yakov TreninMatt SavoieJonatan Berggren40122
2Marat KhusnutdinovConor GeekieKasperi Kapanen30122
3Karsen DorwartRasmus KupariChristian Fischer20122
4Matt SavoieHendrix LapierreJonatan Berggren10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonUrho Vaakanainen40122
2Emil AndraeJacob Bernard-Docker30122
3Simon NemecDaemon Hunt20122
4Drew HellesonUrho Vaakanainen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Yakov TreninMatt SavoieJonatan Berggren60122
2Marat KhusnutdinovConor GeekieKasperi Kapanen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonUrho Vaakanainen60122
2Emil AndraeJacob Bernard-Docker40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matt SavoieJonatan Berggren60122
2Conor GeekieYakov Trenin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonUrho Vaakanainen60122
2Emil AndraeJacob Bernard-Docker40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matt Savoie60122Drew HellesonUrho Vaakanainen60122
2Jonatan Berggren40122Emil AndraeJacob Bernard-Docker40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matt SavoieJonatan Berggren60122
2Conor GeekieYakov Trenin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonUrho Vaakanainen60122
2Emil AndraeJacob Bernard-Docker40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Yakov TreninMatt SavoieJonatan BerggrenDrew HellesonUrho Vaakanainen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Yakov TreninMatt SavoieJonatan BerggrenDrew HellesonUrho Vaakanainen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Fraser Minten, Rasmus Kupari, Christian FischerFraser Minten, Rasmus KupariChristian Fischer
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Simon Nemec, Daemon Hunt, Emil AndraeSimon NemecDaemon Hunt, Emil Andrae
Tirs de pénalité
Matt Savoie, Jonatan Berggren, Conor Geekie, Yakov Trenin, Kasperi Kapanen
Gardien
#1 : Jonas Johansson, #2 : Aleksei Kolosov


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
1Wombats633000002430-6312000001419-5321000001011-160.50024406400114902036563750232593411620210.00%16287.50%010420052.00%12222653.98%5911053.64%158115130387039
Total633000002430-6312000001419-5321000001011-160.50024406400114902036563750232593411620210.00%16287.50%010420052.00%12222653.98%5911053.64%158115130387039
_Since Last GM Reset633000002430-6312000001419-5321000001011-160.50024406400114902036563750232593411620210.00%16287.50%010420052.00%12222653.98%5911053.64%158115130387039
_Vs Conference633000002430-6312000001419-5321000001011-160.50024406400114902036563750232593411620210.00%16287.50%010420052.00%12222653.98%5911053.64%158115130387039
_Vs Division633000002430-6312000001419-5321000001011-160.50024406400114902036563750232593411620210.00%16287.50%010420052.00%12222653.98%5911053.64%158115130387039

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
66L1244064203232593411600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
63300002430
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001419
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
32100001011
Derniers 10 matchs
WLOTWOTL SOWSOL
330000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
20210.00%16287.50%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
656375011490
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
10420052.00%12222653.98%5911053.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
158115130387039


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
12Broncos1Wombats5LSommaire du match
310Broncos6Wombats4WSommaire du match
518Wombats4Broncos5WSommaire du match
726Wombats7Broncos4LSommaire du match
934Broncos3Wombats2WSommaire du match
1142Wombats8Broncos5LSommaire du match
1350Broncos-Wombats-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,420,000$ 1,420,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 27 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 2 0$ 0$




Broncos 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

Broncos 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

Broncos 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

Broncos 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

Broncos 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