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Broncos
GP: 82 | W: 35 | L: 33 | OTL: 14 | P: 84
GF: 301 | GA: 339 | PP%: 26.54% | PK%: 66.23%
DG: Alain Lefebvre | Morale : 31 | Moyenne d’équipe : 57

Centre de jeu
Broncos
35-33-14, 84pts
3
FINAL
4 Rocket
30-42-10, 70pts
Team Stats
W1SéquenceL1
19-19-3Fiche domicile17-18-6
16-14-11Fiche domicile13-24-4
4-4-2Derniers 10 matchs3-5-2
3.67Buts par match 4.52
4.13Buts contre par match 5.22
26.54%Pourcentage en avantage numérique20.00%
66.23%Pourcentage en désavantage numérique73.24%
Rocket
30-42-10, 70pts
4
FINAL
6 Broncos
35-33-14, 84pts
Team Stats
L1SéquenceW1
17-18-6Fiche domicile19-19-3
13-24-4Fiche domicile16-14-11
3-5-2Derniers 10 matchs4-4-2
4.52Buts par match 3.67
5.22Buts contre par match 4.13
20.00%Pourcentage en avantage numérique26.54%
73.24%Pourcentage en désavantage numérique66.23%
Meneurs d'équipe
Jonatan BerggrenButs
Jonatan Berggren
38
Conor GeekiePasses
Conor Geekie
50
Conor GeekiePoints
Conor Geekie
83
Isaak PhillipsPlus/Moins
Isaak Phillips
12
Jonas JohanssonVictoires
Jonas Johansson
25
Jonas JohanssonPourcentage d’arrêts
Jonas Johansson
0.876

Statistiques d’équipe
Buts pour
301
3.67 GFG
Tirs pour
2359
28.77 Avg
Pourcentage en avantage numérique
26.5%
43 GF
Début de zone offensive
37.8%
Buts contre
339
4.13 GAA
Tirs contre
2661
32.45 Avg
Pourcentage en désavantage numérique
66.2%%
52 GA
Début de la zone défensive
39.5%
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
1Jonatan BerggrenX100.00625690707072867550676857516263050640251500,000$
2Conor Geekie (R) (A)XX100.00795785697771696957666659515659073630214500,000$
3Yakov TreninXX100.00876279647271866250636069506970056630291500,000$
4Kasperi KapanenX100.00735688646970796354645761507169064610291500,000$
5Rasmus KupariXX100.00735688647267736173615868506567062610263500,000$
6Marat Khusnutdinov (R)XX100.00635588666370855960625365506063059600232500,000$
7Christian FischerX100.00796593657668656250615063507070057600282500,000$
8Hendrix Lapierre (C)XX100.00575592656564566254675056506063035570241500,000$
9Fraser Minten (R)X100.00715595627265565964545554505760063560212500,000$
10Karsen DorwartX100.00504079576950515052515050505759018510233750,000$
11Ryan GreeneX100.00503589576150525050505050505357020500224500,000$
12Urho VaakanainenX100.00595983637470707450705472556668057640272500,000$
13Emil Andrae (R) (A)X100.00715880696872666950625468556063052630242500,000$
14Jacob Bernard-DockerX100.00666684607163636850615568556567067610251500,000$
15Simon NemecX100.00506075677065586750575767565761065600222500,000$
16Isaak PhillipsX100.00493595597650515050505150576367055530242500,000$
17Daemon HuntX100.00493595597450505050495049556064028520233500,000$
Rayé
1Olle LycksellX100.00515394585563555350604951506566043530263500,000$
2Brendan BrissonXX100.00525089577050515050505050505657017510242500,000$
3Raphael LavoieXX100.00575788577850524950494949506161019510253500,000$
4Michael MilneX100.00543589576550505050505050505658019510234500,000$
5Ryan SuzukiX100.00503589577050505050505050506060022510244500,000$
6Jaret Anderson-DolanXX100.00645972577150515050505050506363020510261500,000$
7Brad LambertXX100.00504079576150525050505050505356019500222500,000$
8David JiricekX100.00546076597650535150495050565660039530221500,000$
MOYENNE D’ÉQUIPE100.0061528662706061585357535752616304356
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 Johansson100.0071697081686664656352607172025660301500,000$
2Aleksei Kolosov (R)100.0060686570636159565450505758016590243950,000$
Rayé
MOYENNE D’ÉQUIPE100.006669687666646261595155646502163
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
1Conor GeekieBroncos (HAR)C/RW8233508322801591652918121711.34%22165920.2351015251260223814351.49%164700011.00150005151
2Jonatan BerggrenBroncos (HAR)RW68384280060371232608618414.62%5165224.305272210400021066247.65%31900020.97310000656
3Urho VaakanainenBroncos (HAR)D70244771-152404810094395825.53%114164423.4910919381230000106100%000100.8600000335
4Simon NemecBroncos (HAR)D80165066-2025578109118418213.56%166187923.49371020820000613028.57%1400010.7000001145
5Rasmus KupariBroncos (HAR)C/RW79243862-10260921321915815312.57%25133316.8747116460001462260.68%120800010.9301000223
6Yakov TreninBroncos (HAR)C/LW79293261-163602241332165713013.43%34154719.595712251231015992248.03%98900000.79110000825
7Josh DoanHartford WhalersRW54303060-3100421052265514213.27%14124823.1206621850110652144.59%15700000.9625000554
8Kasperi KapanenBroncos (HAR)RW82213859-110092771773612811.86%16141317.2413414600000142049.44%8900000.8323000653
9Jacob Bernard-DockerBroncos (HAR)D7965056-34715147548935606.74%131161920.5027920109000097000%000000.6900101333
10Marat KhusnutdinovBroncos (HAR)C/LW81182745-2803584191331029.42%14144917.90156231290001251150.00%12000000.6200000316
11Emil AndraeBroncos (HAR)D69143044-194401436682295617.07%100158522.98661229103000088110%000000.5500000224
12Alex NewhookHartford WhalersC32161834-31207286141397911.35%974323.230448490002403252.38%80000000.9114000172
13Hendrix LapierreBroncos (HAR)C/RW82121830-236020106102388711.76%16111313.57000180000182149.81%104600000.5400000212
14Christian FischerBroncos (HAR)RW79111728-680857013542998.15%19100912.78000020001162256.00%7500000.5500000211
15Drew HellesonHartford WhalersD32111627-326101094355143520.00%4674923.431452159000140010%000000.7200101124
16Fraser MintenBroncos (HAR)C8381523-880656712131826.61%11119114.350114120001471053.21%76300000.3900000103
17Isaak PhillipsBroncos (HAR)D7359141210041181951126.32%56137118.781013740000650066.67%600000.2022000100
18Daemon HuntBroncos (HAR)D7021214-101404026288107.14%57116216.6100019112236000%000000.2400000011
19Olle LycksellBroncos (HAR)RW663811-24008274114357.32%971110.7701108000010040.00%7500000.3100000001
20David JiricekBroncos (HAR)D621910-1926010312189105.56%61105417.01101312000039100%000000.1900000011
21Sean WalkerHartford WhalersD8055-640899550%1118423.0102231200017000%000000.5400000000
22Matt SavoieHartford WhalersC/RW17134-500318186225.56%223013.5800018000081048.26%17200000.3502000000
23Karsen DorwartBroncos (HAR)LW5033-320266360%19218.45011110000000042.86%700000.6500000000
24Jaret Anderson-DolanBroncos (HAR)LW/RW1512312020341925.00%124616.44011024000000057.14%1400000.2400000010
25Brendan BrissonBroncos (HAR)LW/RW5112-5001321750.00%010020.1810118000000066.67%600000.4000000000
26Raphael LavoieBroncos (HAR)C/RW19011000343000%21156.0900002000040052.83%5300000.1700000000
27Michael MilneBroncos (HAR)LW210110000103100.00%03819.0100006000000020.00%500000.5300000000
28Brad LambertBroncos (HAR)C/RW3000-300001010%0227.640000200000000%20000000000000
29Ryan SuzukiBroncos (HAR)C15000000110030%0604.0400004000030064.71%170000000000000
Statistiques d’équipe totales ou en moyenne1491326571897-19138230167816472639766181612.35%9422722918.2646831292901413246201124341852.03%758400150.661242203526160
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)59251980.8763.9331644020716730220.800355227001
2Aleksei KolosovBroncos (HAR)3791360.8684.161729001209080000.80052950000
3Joonas KorpisaloHartford Whalers11000.9333.0060003450000010000
Statistiques d’équipe totales ou en moyenne973532140.8744.004954403302626022408277001


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$0$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$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Brendan BrissonBroncos (HAR)LW/RW242001-10-22USANo198 Lbs6 ft0NoNoTrade2025-01-24NoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Christian FischerBroncos (HAR)RW281997-04-15USANo212 Lbs6 ft2NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Conor GeekieBroncos (HAR)C/RW212004-05-05CANYes207 Lbs6 ft4NoNoFree AgentNoNo42025-08-03FalseFalsePro & Farm500,000$50,000$0$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$0$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$0$No---------------------------Lien / Lien NHL
Emil AndraeBroncos (HAR)D242002-02-23SWEYes189 Lbs5 ft9NoNoTrade2024-08-15NoNo22024-08-10FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Fraser MintenBroncos (HAR)C212004-07-05CANYes195 Lbs6 ft2NoNoTrade2025-12-20NoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Hendrix LapierreBroncos (HAR)C/RW242002-02-09CANNo180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$0$No---------------------------Lien / Lien NHL
Isaak PhillipsBroncos (HAR)D242001-09-28CANNo205 Lbs6 ft3NoNoFree Agent2024-08-25NoNo22025-07-23FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Jacob Bernard-DockerBroncos (HAR)D252000-06-30CANNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$0$No---------------------------Lien / Lien NHL
Jaret Anderson-DolanBroncos (HAR)LW/RW261999-09-12CANNo200 Lbs5 ft11NoNoTrade2024-08-25NoNo1FalseFalsePro & Farm500,000$50,000$0$No---------------------------Lien / Lien NHL
Jonas JohanssonBroncos (HAR)G301995-09-19SWENo218 Lbs6 ft5NoNoTrade2025-08-05NoNo12025-08-04FalseFalsePro & Farm500,000$50,000$0$No---------------------------Lien / Lien NHL
Jonatan BerggrenBroncos (HAR)RW252000-07-16SWENo197 Lbs5 ft11NoNoTrade2025-06-25NoNo1FalseFalsePro & Farm500,000$50,000$0$No---------------------------Lien / Lien NHL
Karsen DorwartBroncos (HAR)LW232002-09-17USANo194 Lbs6 ft1NoNoFree AgentNoNo32025-08-17FalseFalsePro & Farm750,000$75,000$0$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$0$No---------------------------Lien / Lien NHL
Marat KhusnutdinovBroncos (HAR)C/LW232002-07-17RUSYes176 Lbs5 ft11NoNoTrade2025-01-24NoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Michael MilneBroncos (HAR)LW232002-09-21CANNo185 Lbs5 ft11NoNoFree AgentNoNo42025-08-03FalseFalsePro & Farm500,000$50,000$0$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$0$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$0$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$0$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$0$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$0$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$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Urho VaakanainenBroncos (HAR)D271999-01-01FINNo205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Yakov TreninBroncos (HAR)C/LW291997-01-13RUSNo201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2724.52195 Lbs6 ft12.22525,926$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Yakov TreninConor GeekieJonatan Berggren40122
2Marat KhusnutdinovRasmus KupariKasperi Kapanen30122
3Karsen DorwartHendrix LapierreChristian Fischer20122
4Jonatan BerggrenFraser MintenConor Geekie10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenEmil Andrae40122
2Jacob Bernard-DockerSimon Nemec30122
3Isaak PhillipsDaemon Hunt20122
4Urho VaakanainenEmil Andrae10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Yakov TreninConor GeekieJonatan Berggren60122
2Marat KhusnutdinovRasmus KupariKasperi Kapanen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenEmil Andrae60122
2Jacob Bernard-DockerSimon Nemec40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jonatan BerggrenConor Geekie60122
2Yakov TreninKasperi Kapanen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenEmil Andrae60122
2Jacob Bernard-DockerSimon Nemec40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jonatan Berggren60122Urho VaakanainenEmil Andrae60122
2Conor Geekie40122Jacob Bernard-DockerSimon Nemec40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jonatan BerggrenConor Geekie60122
2Yakov TreninKasperi Kapanen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenEmil Andrae60122
2Jacob Bernard-DockerSimon Nemec40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Yakov TreninConor GeekieJonatan BerggrenUrho VaakanainenEmil Andrae
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Yakov TreninConor GeekieJonatan BerggrenUrho VaakanainenEmil Andrae
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Greene, Christian Fischer, Hendrix LapierreRyan Greene, Christian FischerHendrix Lapierre
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Isaak Phillips, Daemon Hunt, Jacob Bernard-DockerIsaak PhillipsDaemon Hunt, Jacob Bernard-Docker
Tirs de pénalité
Jonatan Berggren, Conor Geekie, Yakov Trenin, Kasperi Kapanen, Rasmus Kupari
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
1Aces2020000047-31010000013-21010000034-100.000481200105909712517677218367435114323133.33%000%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
2Admirals63100110181713100011012843210000069-390.7501831490010590971213876772183674132392810512325.00%13469.23%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
3Americiens504000102231-9303000001219-7201000101012-220.2002237590010590971216876772183674221561811011436.36%9366.67%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
4Barons44000000191091100000052333000000148681.00019345300105909712967677218367497311773300.00%8187.50%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
5Barracuda21100000990110000007611010000023-120.5009172600105909712657677218367459221947500.00%7442.86%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
6Bruins42000020171252100001074321000010108281.0001724410010590971283767721836741163618819333.33%8362.50%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
7Canucks31200000711-4211000006511010000016-520.33371219001059097128576772183674902013544125.00%4325.00%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
8Fighting Pandas723000112128-7522000011518-320100010610-470.5002136570010590971217876772183674179631410514428.57%7442.86%11248243551.25%1352254153.21%788145854.05%2046144618795651078551
9Firebirds713001112834-6412000101619-3301001011215-360.4292850780010590971219776772183674270743013119210.53%15380.00%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
10Griffins20100100813-51000010056-11010000037-410.25081422001059097126776772183674902512456466.67%6350.00%11248243551.25%1352254153.21%788145854.05%2046144618795651078551
11Ice Bats21100000981110000005321010000045-120.5009172600105909712627677218367486266414125.00%3233.33%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
12Lions20100001711-41010000047-31000000134-110.250712190010590971277767721836749518103322100.00%5340.00%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
13Lynx4120001018144201000109902110000095440.50018314900105909712135767721836741193612756233.33%5340.00%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
14Marlies513001001220-820200000512-73110010078-130.30012233500105909712126767721836741465038877114.29%15566.67%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
15Nordiks42100010201911010000026-4320000101813560.750203656001059097121767677218367418153319613323.08%13284.62%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
16Quacken2110000068-21010000026-41100000042220.50069150010590971243767721836745620429100.00%20100.00%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
17Roadrunners611013001822-431101000910-130000300912-370.5831829470010590971214776772183674192642510814321.43%8275.00%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
18Rocket422000001716121100000101002110000076140.50017304700105909712105767721836741133320717228.57%9277.78%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
19Tomahawks2110000089-1110000004311010000046-220.50081523001059097127276772183674752312414250.00%50100.00%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
20Wombats613001012329-631200000810-2301001011519-440.3332340632010590971218976772183674207491811311327.27%9455.56%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
21Wranglers310002001011-1110000004312000020068-240.667101626001059097129976772183674102256487228.57%3166.67%01248243551.25%1352254153.21%788145854.05%2046144618795651078551
Total822633011084301339-3841141901241148169-2141121400843153170-17840.51230152182220105909712235976772183674266177435515251624326.54%1545266.23%21248243551.25%1352254153.21%788145854.05%2046144618795651078551
_Since Last GM Reset822633011084301339-3841141901241148169-2141121400843153170-17840.51230152182220105909712235976772183674266177435515251624326.54%1545266.23%21248243551.25%1352254153.21%788145854.05%2046144618795651078551
_Vs Conference54142201773194223-292981401141103119-1625680063291104-13540.5001943315252010590971214667677218367416955002219861102724.55%983366.33%11248243551.25%1352254153.21%788145854.05%2046144618795651078551
_Vs Division2168016227793-161145011204143-21023005023650-14260.61977135212201059097125917677218367469918788394481225.00%431467.44%11248243551.25%1352254153.21%788145854.05%2046144618795651078551

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8284W130152182223592661774355152520
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
82263311084301339
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4114191241148169
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4112140843153170
Derniers 10 matchs
WLOTWOTL SOWSOL
240220
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1624326.54%1545266.23%2
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
76772183674105909712
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
1248243551.25%1352254153.21%788145854.05%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2046144618795651078551


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
28Wombats3Broncos5WSommaire du match
518Broncos7Nordiks4WSommaire du match
729Broncos5Roadrunners6LXSommaire du match
938Fighting Pandas2Broncos1LSommaire du match
1251Broncos4Firebirds5LXSommaire du match
1361Fighting Pandas3Broncos6WSommaire du match
1676Roadrunners2Broncos3WSommaire du match
1990Broncos1Marlies2LSommaire du match
20100Firebirds5Broncos3LSommaire du match
23112Firebirds7Broncos3LSommaire du match
27131Broncos5Barons3WSommaire du match
29138Fighting Pandas3Broncos5WSommaire du match
32155Americiens6Broncos3LSommaire du match
33159Broncos3Admirals2WSommaire du match
34164Broncos2Wombats4LSommaire du match
38182Roadrunners6Broncos3LSommaire du match
41194Broncos1Canucks6LSommaire du match
43203Canucks4Broncos2LSommaire du match
46216Broncos3Aces4LSommaire du match
48226Fighting Pandas7Broncos1LSommaire du match
49238Broncos2Roadrunners3LXSommaire du match
51247Firebirds3Broncos5WSommaire du match
53262Broncos7Nordiks6WSommaire du match
55270Bruins2Broncos4WSommaire du match
57283Broncos3Griffins7LSommaire du match
58291Barracuda6Broncos7WSommaire du match
62307Broncos3Marlies2WSommaire du match
63314Marlies6Broncos2LSommaire du match
66326Broncos3Lions4LXXSommaire du match
68335Wombats4Broncos2LSommaire du match
70350Broncos3Marlies4LXSommaire du match
72357Americiens7Broncos5LSommaire du match
74366Broncos3Firebirds4LSommaire du match
76378Admirals1Broncos5WSommaire du match
78389Broncos0Admirals5LSommaire du match
80400Wranglers3Broncos4WSommaire du match
82413Broncos3Admirals2WSommaire du match
84422Barons2Broncos5WSommaire du match
86434Broncos2Roadrunners3LXSommaire du match
89444Lions7Broncos4LSommaire du match
94466Aces3Broncos1LSommaire du match
97481Broncos4Quacken2WSommaire du match
98488Ice Bats3Broncos5WSommaire du match
101506Broncos4Nordiks3WXXSommaire du match
102511Tomahawks3Broncos4WSommaire du match
105524Broncos2Barracuda3LSommaire du match
106533Roadrunners2Broncos3WXSommaire du match
109551Quacken6Broncos2LSommaire du match
111558Broncos5Bruins4WXXSommaire du match
112567Broncos1Fighting Pandas6LSommaire du match
114577Fighting Pandas3Broncos2LXXSommaire du match
118594Marlies6Broncos3LSommaire du match
120607Broncos4Ice Bats5LSommaire du match
122617Broncos4Americiens7LSommaire du match
123622Nordiks6Broncos2LSommaire du match
125639Americiens6Broncos4LSommaire du match
127649Broncos6Barons4WSommaire du match
128653Broncos5Firebirds6LXXSommaire du match
131663Broncos6Americiens5WXXSommaire du match
132668Canucks1Broncos4WSommaire du match
134683Broncos7Wombats8LXXSommaire du match
135689Firebirds4Broncos5WXXSommaire du match
138704Broncos6Wombats7LXSommaire du match
140712Griffins6Broncos5LXSommaire du match
142722Broncos5Bruins4WSommaire du match
144731Broncos2Lynx4LSommaire du match
145736Admirals4Broncos5WXXSommaire du match
147750Broncos7Lynx1WSommaire du match
148754Broncos4Rocket2WSommaire du match
149763Bruins2Broncos3WXXSommaire du match
153781Wombats3Broncos1LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
157799Admirals3Broncos2LXSommaire du match
160816Lynx4Broncos3LSommaire du match
162823Broncos3Barons1WSommaire du match
165839Rocket6Broncos4LSommaire du match
168850Broncos4Tomahawks6LSommaire du match
170859Lynx5Broncos6WXXSommaire du match
171863Broncos4Wranglers5LXSommaire du match
173875Broncos5Fighting Pandas4WXXSommaire du match
175882Broncos2Wranglers3LXSommaire du match
176890Broncos3Rocket4LSommaire du match
178901Rocket4Broncos6WSommaire du match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,068,826$ 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
1,420,000$ 1,568,861$ 27 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 10,667$ 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