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Broncos
GP: 26 | W: 11 | L: 12 | OTL: 3 | P: 25
GF: 94 | GA: 111 | PP%: 22.03% | PK%: 64.29%
DG: Alain Lefebvre | Morale : 43 | Moyenne d’équipe : 57
Prochains matchs #307 vs Marlies

Centre de jeu
Broncos
11-12-3, 25pts
3
FINAL
7 Griffins
14-13-0, 28pts
Team Stats
W1SéquenceW1
7-7-0Fiche domicile7-6-0
4-5-3Fiche domicile7-7-0
4-5-1Derniers 10 matchs6-4-0
3.62Buts par match 5.63
4.27Buts contre par match 5.26
22.03%Pourcentage en avantage numérique18.75%
64.29%Pourcentage en désavantage numérique68.75%
Barracuda
14-11-2, 30pts
6
FINAL
7 Broncos
11-12-3, 25pts
Team Stats
L1SéquenceW1
6-7-0Fiche domicile7-7-0
8-4-2Fiche domicile4-5-3
5-5-0Derniers 10 matchs4-5-1
3.56Buts par match 3.62
3.59Buts contre par match 4.27
20.00%Pourcentage en avantage numérique22.03%
77.78%Pourcentage en désavantage numérique64.29%
Broncos
11-12-3, 25pts
Jour 62
Marlies
14-11-3, 31pts
Statistiques d’équipe
W1SéquenceL3
7-7-0Fiche domicile6-5-2
4-5-3Fiche visiteur8-6-1
4-5-110 derniers matchs6-4-0
3.62Buts par match 4.18
4.27Buts contre par match 4.18
22.03%Pourcentage en avantage numérique22.78%
64.29%Pourcentage en désavantage numérique77.78%
Marlies
14-11-3, 31pts
Jour 63
Broncos
11-12-3, 25pts
Statistiques d’équipe
L3SéquenceW1
6-5-2Fiche domicile7-7-0
8-6-1Fiche visiteur4-5-3
6-4-010 derniers matchs4-5-1
4.18Buts par match 3.62
3.57Buts contre par match 3.62
22.78%Pourcentage en avantage numérique22.03%
77.78%Pourcentage en désavantage numérique64.29%
Broncos
11-12-3, 25pts
Jour 66
Lions
9-18-0, 18pts
Statistiques d’équipe
W1SéquenceOTW1
7-7-0Fiche domicile7-6-0
4-5-3Fiche visiteur2-12-0
4-5-110 derniers matchs3-7-0
3.62Buts par match 4.63
4.27Buts contre par match 4.63
22.03%Pourcentage en avantage numérique21.43%
64.29%Pourcentage en désavantage numérique77.50%
Meneurs d'équipe
Jonatan BerggrenButs
Jonatan Berggren
18
Urho VaakanainenPasses
Urho Vaakanainen
22
Jonatan BerggrenPoints
Jonatan Berggren
33
Isaak PhillipsPlus/Moins
Isaak Phillips
10
Jonas JohanssonVictoires
Jonas Johansson
9
Aleksei KolosovPourcentage d’arrêts
Aleksei Kolosov
0.883

Statistiques d’équipe
Buts pour
94
3.62 GFG
Tirs pour
735
28.27 Avg
Pourcentage en avantage numérique
22.0%
13 GF
Début de zone offensive
38.4%
Buts contre
111
4.27 GAA
Tirs contre
866
33.31 Avg
Pourcentage en désavantage numérique
64.3%%
20 GA
Début de la zone défensive
39.8%
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 Pro28
Équipe Mineure18
Limite contact 46 / 50
Espoirs12


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
1Alex NewhookX100.00725785717276937260646958536062060640242500,000$
2Jonatan BerggrenX100.00635690707072867350656758516162058640251500,000$
3Yakov TreninXX100.00866278647271866150615870506768051630281500,000$
4Conor Geekie (R) (A)XX100.00785784687671696757636460515457055620214500,000$
5Kasperi KapanenX100.00735687646970796154625662506967052610291500,000$
6Rasmus KupariXX100.00735687647267736072595669506365050610253500,000$
7Christian FischerX100.00796592657668656350615064506868050600282500,000$
8Marat Khusnutdinov (R)XX100.00635588656270855860615266505861053590232500,000$
9Hendrix Lapierre (C)XX100.00585592646464566354675058505861041570231500,000$
10Olle LycksellX100.00525394585563555450614953506465048540263500,000$
11Matt SavoieXX100.00503589576250525050505050505659025500214500,000$
12Drew Helleson (R)X100.00796472647870736950625772566165055650244500,000$
13Urho VaakanainenX100.00605982637470707250695272556567054640262500,000$
14Emil Andrae (R) (A)X100.00705880686772666650595168555962037620232500,000$
15Jacob Bernard-DockerX100.00666684607163636550595467556365054610251500,000$
16Daemon HuntX100.00503594587350505050505050555963028520233500,000$
17David JiricekX100.00536075587550535150505050565559045520221500,000$
Rayé
1Brendan BrissonXX100.00525089577050515050505050505657024510242500,000$
2Karsen DorwartX100.00504079576950515052505050505759026510233750,000$
3Raphael LavoieXX100.00585788577850524950505049506160022510253500,000$
4Michael MilneX100.00543589576550505050505050505658024510234500,000$
5Ryan SuzukiX100.00503589577050505050505050506060024510244500,000$
6Jaret Anderson-DolanXX100.00645972577150515050505050506363040510261500,000$
7Brad LambertXX100.00504079576150525050505050505356025500212500,000$
8Ryan GreeneX100.00503589576150525050505050505357024500224500,000$
9Isaak PhillipsX100.00503594587550515050495150576166053530242500,000$
MOYENNE D’ÉQUIPE100.0062518561706063585257535852606204157
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 Johansson100.0071697081686564656352607071016660301500,000$
2Aleksei Kolosov (R)100.0059686570626461595650505657049600233950,000$
Rayé
MOYENNE D’ÉQUIPE100.006569687665656362605155636403363
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
1Jonatan BerggrenBroncos (HAR)RW26181533420174797316318.56%463924.593147450002404148.54%10300011.0300000430
2Alex NewhookBroncos (HAR)C26141428-3605971118306011.86%659522.900447430002333252.48%68600000.9413000161
3Urho VaakanainenBroncos (HAR)D2552227-960183832131915.63%3959023.633251754000043000%000000.9100000022
4Josh DoanHartford WhalersRW24121426-2802148105185511.43%358524.4101113420000341044.83%8700000.8900000122
5Conor GeekieBroncos (HAR)C/RW267172418042438317638.43%947118.131565440001231150.00%55200001.0200000230
6Drew HellesonBroncos (HAR)D2381422-12410853241133119.51%3253923.451452047000132010%000000.8200101114
7Yakov TreninBroncos (HAR)C/LW2310919-1180704375134113.33%1147620.7313411440003300149.65%42500000.8000000102
8Jacob Bernard-DockerBroncos (HAR)D2321719217549112411178.33%3546620.29134837000034000%000000.8100001222
9Rasmus KupariBroncos (HAR)C/RW2361117-620313643194813.95%732614.202023110001191063.05%29500001.0400000100
10Kasperi KapanenBroncos (HAR)RW267815-240301846143515.22%435613.7200016000050060.00%2000000.8400000121
11Marat KhusnutdinovBroncos (HAR)C/LW264101404011366117476.56%649018.880117540000101046.67%4500000.5700000102
12Hendrix LapierreBroncos (HAR)C/RW264610-80064026112215.38%534513.2800007000002052.81%30300000.5800000110
13Christian FischerBroncos (HAR)RW23459-140281738132910.53%225811.2500000000031052.00%2500000.7000000101
14Emil AndraeBroncos (HAR)D13145-81602313218104.76%1728722.08101922000017010%000000.3500000000
15Olle LycksellBroncos (HAR)RW26145-1200412731014.29%52288.7901108000000052.38%4200000.4400000000
16Isaak PhillipsBroncos (HAR)D2631410409851260.00%1647018.11000128000027000%000000.1700000100
17Jaret Anderson-DolanBroncos (HAR)LW/RW1512312020341925.00%124616.44011024000000057.14%1400000.2400000010
18Daemon HuntBroncos (HAR)D17022020976100%1126315.4800002000110000%000000.1500000000
19Karsen DorwartBroncos (HAR)LW3011-220222020%15217.5300006000000033.33%300000.3800000000
20David JiricekBroncos (HAR)D18011-7802443040%1429916.6400015000013000%000000.0700000001
21Brad LambertBroncos (HAR)C/RW3000-300001010%0227.640000200000000%20000000000000
22Matt SavoieBroncos (HAR)C/RW3000-200110020%03210.9100000000000047.37%380000000000000
23Raphael LavoieBroncos (HAR)C/RW10000-100022000%2717.1100002000030052.38%420000000000000
Statistiques d’équipe totales ou en moyenne454107177284-501371555953284023457012.74%230811817.881326391105400001138714752.16%268200010.7013102182318
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)2391030.8674.471249209370001100232000
2Aleksei KolosovBroncos (HAR)71200.8833.33252001412000000223000
3Joonas KorpisaloHartford Whalers11000.9333.0060003450000010000
Statistiques d’équipe totales ou en moyenne31111230.8734.2315622011086501102625000


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)G232002-01-04BLRYes185 Lbs6 ft1NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm950,000$95,000$63,861$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Alex NewhookBroncos (HAR)C242001-01-28CANNo200 Lbs5 ft11NoNoTrade2025-11-27NoNo2FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Brad LambertBroncos (HAR)C/RW212003-12-19FINNo173 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Brendan BrissonBroncos (HAR)LW/RW242001-10-22USANo198 Lbs6 ft0NoNoTrade2025-01-24NoNo2FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Christian FischerBroncos (HAR)RW281997-04-15USANo212 Lbs6 ft2NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Conor GeekieBroncos (HAR)C/RW212004-05-05CANYes207 Lbs6 ft4NoNoFree AgentNoNo42025-08-03FalseFalsePro & Farm500,000$50,000$33,611$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$33,611$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$33,611$No---------------------------Lien / Lien NHL
Drew HellesonBroncos (HAR)D242001-03-26USAYes213 Lbs6 ft3NoNoFree AgentNoNo42025-08-03FalseFalsePro & Farm500,000$50,000$33,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Emil AndraeBroncos (HAR)D232002-02-23SWEYes189 Lbs5 ft9NoNoTrade2024-08-15NoNo22024-08-10FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Hendrix LapierreBroncos (HAR)C/RW232002-02-09CANNo180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Lien / Lien NHL
Isaak PhillipsBroncos (HAR)D242001-09-28CANNo205 Lbs6 ft3NoNoFree Agent2024-08-25NoNo22025-07-23FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Jacob Bernard-DockerBroncos (HAR)D252000-06-30CANNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Lien / Lien NHL
Jaret Anderson-DolanBroncos (HAR)LW/RW261999-09-12CANNo200 Lbs5 ft11NoNoTrade2024-08-25NoNo1FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Lien / Lien NHL
Jonas JohanssonBroncos (HAR)G301995-09-19SWENo218 Lbs6 ft5NoNoTrade2025-08-05NoNo12025-08-04FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Lien / Lien NHL
Jonatan BerggrenBroncos (HAR)RW252000-07-16SWENo197 Lbs5 ft11NoNoTrade2025-06-25NoNo1FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Lien / Lien NHL
Karsen DorwartBroncos (HAR)LW232002-09-17USANo194 Lbs6 ft1NoNoFree AgentNoNo32025-08-17FalseFalsePro & Farm750,000$75,000$50,417$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$33,611$No---------------------------Lien / Lien NHL
Marat KhusnutdinovBroncos (HAR)C/LW232002-07-17RUSYes176 Lbs5 ft11NoNoTrade2025-01-24NoNo2FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Matt SavoieBroncos (HAR)C/RW212004-01-01CANNo179 Lbs5 ft9NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$33,611$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$33,611$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$33,611$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$33,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Rasmus KupariBroncos (HAR)C/RW252000-03-15FINNo201 Lbs6 ft2NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm500,000$50,000$33,611$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$33,611$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$33,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Urho VaakanainenBroncos (HAR)D261999-01-01FINNo205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Yakov TreninBroncos (HAR)C/LW281997-01-13RUSNo201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2824.32195 Lbs6 ft12.36525,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Yakov TreninAlex NewhookJonatan Berggren40122
2Marat KhusnutdinovConor GeekieKasperi Kapanen30122
3Jonatan BerggrenRasmus KupariChristian Fischer20122
4Alex NewhookHendrix LapierreOlle Lycksell10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonUrho Vaakanainen40122
2Emil AndraeJacob Bernard-Docker30122
3David JiricekDaemon Hunt20122
4Drew HellesonUrho Vaakanainen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Yakov TreninAlex NewhookJonatan 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
1Jonatan BerggrenAlex Newhook60122
2Yakov TreninConor Geekie40122
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
1Jonatan Berggren60122Drew HellesonUrho Vaakanainen60122
2Alex Newhook40122Emil AndraeJacob Bernard-Docker40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jonatan BerggrenAlex Newhook60122
2Yakov TreninConor Geekie40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonUrho Vaakanainen60122
2Emil AndraeJacob Bernard-Docker40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Yakov TreninAlex NewhookJonatan BerggrenDrew HellesonUrho Vaakanainen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Yakov TreninAlex NewhookJonatan BerggrenDrew HellesonUrho Vaakanainen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Savoie, Rasmus Kupari, Christian FischerMatt Savoie, Rasmus KupariChristian Fischer
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
David Jiricek, Daemon Hunt, Emil AndraeDavid JiricekDaemon Hunt, Emil Andrae
Tirs de pénalité
Jonatan Berggren, Alex Newhook, Yakov Trenin, Conor Geekie, 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
1Aces1010000034-1000000000001010000034-100.000369003032320292322272697952183133.33%000%041180251.25%43283151.99%24745754.05%632443596177336171
2Admirals11000000321000000000001100000032121.0003580030323202323222726972896163133.33%3166.67%041180251.25%43283151.99%24745754.05%632443596177336171
3Americiens1010000036-31010000036-30000000000000.0003690030323203623222726973382282150.00%110.00%041180251.25%43283151.99%24745754.05%632443596177336171
4Barons11000000532000000000001100000053221.00051015003032320222322272697238423000%20100.00%041180251.25%43283151.99%24745754.05%632443596177336171
5Barracuda11000000761110000007610000000000021.0007132000303232036232227269736121530200.00%5420.00%041180251.25%43283151.99%24745754.05%632443596177336171
6Bruins11000000422110000004220000000000021.000461000303232021232227269720610203266.67%4175.00%041180251.25%43283151.99%24745754.05%632443596177336171
7Canucks20200000310-71010000024-21010000016-500.00035800303232057232227269768151135300.00%330.00%041180251.25%43283151.99%24745754.05%632443596177336171
8Fighting Pandas422000001315-2422000001315-20000000000040.5001323360030323201132322272697953466310220.00%3233.33%041180251.25%43283151.99%24745754.05%632443596177336171
9Firebirds412001001520-5312000001115-41000010045-130.375152843003032320112232227269718342248610110.00%12375.00%041180251.25%43283151.99%24745754.05%632443596177336171
10Griffins1010000037-4000000000001010000037-400.00035800303232023232227269740106254250.00%3166.67%041180251.25%43283151.99%24745754.05%632443596177336171
11Marlies1010000012-1000000000001010000012-100.00012300303232017232227269727988200.00%30100.00%041180251.25%43283151.99%24745754.05%632443596177336171
12Nordiks220000001410400000000000220000001410441.0001426400030323209223222726971012119549222.22%7185.71%041180251.25%43283151.99%24745754.05%632443596177336171
13Roadrunners411002001317-42110000068-22000020079-240.5001323360030323209723222726971334016707114.29%6266.67%041180251.25%43283151.99%24745754.05%632443596177336171
14Wombats21100000770110000005321010000024-220.50071219103032320572322272697709840100.00%4175.00%041180251.25%43283151.99%24745754.05%632443596177336171
Total2611120030094111-171477000005159-81245003004352-9250.481941702641030323207352322272697866228137516591322.03%562064.29%041180251.25%43283151.99%24745754.05%632443596177336171
_Since Last GM Reset2611120030094111-171477000005159-81245003004352-9250.481941702641030323207352322272697866228137516591322.03%562064.29%041180251.25%43283151.99%24745754.05%632443596177336171
_Vs Conference1878003005971-121266000004249-7612003001722-5170.4725910516410303232047623222726975891578033138821.05%361169.44%041180251.25%43283151.99%24745754.05%632443596177336171
_Vs Division844003002836-8433000001618-2411003001218-6110.6882850781030323202152322272697321704416718422.22%22672.73%041180251.25%43283151.99%24745754.05%632443596177336171

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2625W19417026473586622813751610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
261112030094111
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
147700005159
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
124503004352
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
591322.03%562064.29%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
23222726973032320
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
41180251.25%43283151.99%24745754.05%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
632443596177336171


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
62307Broncos-Marlies-
63314Marlies-Broncos-
66326Broncos-Lions-
68335Wombats-Broncos-
70350Broncos-Marlies-
72357Americiens-Broncos-
74366Broncos-Firebirds-
76378Admirals-Broncos-
78389Broncos-Admirals-
80400Wranglers-Broncos-
82413Broncos-Admirals-
84422Barons-Broncos-
86434Broncos-Roadrunners-
89444Lions-Broncos-
94466Aces-Broncos-
97481Broncos-Quacken-
98488Ice Bats-Broncos-
101506Broncos-Nordiks-
102511Tomahawks-Broncos-
105524Broncos-Barracuda-
106533Roadrunners-Broncos-
109551Quacken-Broncos-
111558Broncos-Bruins-
112567Broncos-Fighting Pandas-
114577Fighting Pandas-Broncos-
118594Marlies-Broncos-
120607Broncos-Ice Bats-
122617Broncos-Americiens-
123622Nordiks-Broncos-
125639Americiens-Broncos-
127649Broncos-Barons-
128653Broncos-Firebirds-
131663Broncos-Americiens-
132668Canucks-Broncos-
134683Broncos-Wombats-
135689Firebirds-Broncos-
138704Broncos-Wombats-
140712Griffins-Broncos-
142722Broncos-Bruins-
144731Broncos-Lynx-
145736Admirals-Broncos-
147750Broncos-Lynx-
148754Broncos-Butter Knives-
149763Bruins-Broncos-
153781Wombats-Broncos-
157799Admirals-Broncos-
160816Lynx-Broncos-
162823Broncos-Barons-
165839Butter Knives-Broncos-
168850Broncos-Tomahawks-
170859Lynx-Broncos-
171863Broncos-Wranglers-
173875Broncos-Fighting Pandas-
175882Broncos-Wranglers-
176890Broncos-Butter Knives-
178901Butter Knives-Broncos-



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
27 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
644,086$ 1,470,000$ 1,470,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,470,000$ 480,241$ 28 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 121 10,944$ 1,324,224$




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