Connexion

Broncos
GP: 55 | W: 26 | L: 28 | OTL: 1 | P: 53
GF: 211 | GA: 249 | PP%: 16.80% | PK%: 73.76%
DG: Alain Lefebvre | Morale : 48 | Moyenne d’équipe : 59
Prochains matchs #608 vs Wranglers
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Centre de jeu
Barons
30-19-5, 65pts
2
FINAL
4 Broncos
26-28-1, 53pts
Team Stats
OTW1SéquenceW3
19-7-2Fiche domicile14-12-1
11-12-3Fiche domicile12-16-0
5-4-1Derniers 10 matchs6-4-0
3.20Buts par match 3.84
3.04Buts contre par match 4.53
27.35%Pourcentage en avantage numérique16.80%
86.75%Pourcentage en désavantage numérique73.76%
Broncos
26-28-1, 53pts
4
FINAL
2 Griffins
31-18-8, 70pts
Team Stats
W3SéquenceL1
14-12-1Fiche domicile16-7-4
12-16-0Fiche domicile15-11-4
6-4-0Derniers 10 matchs7-2-1
3.84Buts par match 5.49
4.53Buts contre par match 5.30
16.80%Pourcentage en avantage numérique25.71%
73.76%Pourcentage en désavantage numérique77.56%
Wranglers
20-27-9, 49pts
Jour 116
Broncos
26-28-1, 53pts
Statistiques d’équipe
L2SéquenceW3
9-13-5Fiche domicile14-12-1
11-14-4Fiche visiteur12-16-0
1-6-310 derniers matchs6-4-0
4.13Buts par match 3.84
4.89Buts contre par match 3.84
20.87%Pourcentage en avantage numérique16.80%
71.55%Pourcentage en désavantage numérique73.76%
Broncos
26-28-1, 53pts
Jour 118
Fighting Pandas
32-16-6, 70pts
Statistiques d’équipe
W3SéquenceW1
14-12-1Fiche domicile17-8-3
12-16-0Fiche visiteur15-8-3
6-4-010 derniers matchs7-3-0
3.84Buts par match 4.30
4.53Buts contre par match 4.30
16.80%Pourcentage en avantage numérique28.46%
73.76%Pourcentage en désavantage numérique75.44%
Broncos
26-28-1, 53pts
Jour 119
Bruins
21-27-8, 50pts
Statistiques d’équipe
W3SéquenceW1
14-12-1Fiche domicile11-10-7
12-16-0Fiche visiteur10-17-1
6-4-010 derniers matchs4-6-0
3.84Buts par match 3.84
4.53Buts contre par match 3.84
16.80%Pourcentage en avantage numérique21.67%
73.76%Pourcentage en désavantage numérique77.22%
Meneurs d'équipe
Kent JohnsonButs
Kent Johnson
31
Ryan JohansenPasses
Ryan Johansen
34
Ryan JohansenPoints
Ryan Johansen
63
Jesperi KotkaniemiPlus/Moins
Jesperi Kotkaniemi
13
Ville HussoVictoires
Ville Husso
15
Ville HussoPourcentage d’arrêts
Ville Husso
0.877

Statistiques d’équipe
Buts pour
211
3.84 GFG
Tirs pour
1728
31.42 Avg
Pourcentage en avantage numérique
16.8%
21 GF
Début de zone offensive
38.4%
Buts contre
249
4.53 GAA
Tirs contre
1980
36.00 Avg
Pourcentage en désavantage numérique
73.8%%
37 GA
Début de la zone défensive
39.6%
Informations de l'équipe

Directeur généralAlain Lefebvre
EntraîneurMartin St. Louis
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 50
Espoirs16


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
1Ryan JohansenX100.007157887378737778776671615178750686703224,000,000$
2Jesperi KotkaniemiXX100.00665878707372897370666462516464064650244500,000$
3Hendrix Lapierre (R)XX100.00605398726569687754706660515962073640222500,000$
4Christian FischerXX100.00786384677669887254655366506868074640273500,000$
5Nathan BastianXX100.00836579697466707850645864506767071640273500,000$
6Boris KatchoukXX100.00745690677469737050626064646667072630261500,000$
7Kent JohnsonXXX100.00535590726573648150686760565760079630223500,000$
8Brendan Brisson (R)X100.00615592646864547150665555505862034590233500,000$
9Oskar SteenXX100.00775594656962596750545156506665064580262500,000$
10Jaret Anderson-DolanXXX100.00745689637166586250585060506364035580252500,000$
11Marat Khusnutdinov (R)X100.00605682636265546465585059506063055570223500,000$
12Rasmus KupariXXX100.00655593637362565663555060506364058560244500,000$
13Urho VaakanainenX100.00695980637272827050675272556567065650263500,000$
14Jacob Bernard-DockerX100.00686385646969846850625473556467072650242500,000$
15Isaak PhillipsX100.00755885627569626750615367556264069620231500,000$
16David JiricekX100.00656075657767657050665467555660073620212500,000$
17Ethan BearX100.00645979607065576350575165556868041600273500,000$
Rayé
1Olle LycksellX100.00495584615559546650584953506464047550254500,000$
2Josh Doan (R)X100.00495090566653536450536049515865039540223500,000$
3Filip ChytilXX100.00505879537558546061605050506368020540253500,000$
4Raphael LavoieXX100.00595785577850505050505050506060020510244500,000$
5Matt Savoie (R)X100.00503589576250505050505050505355020500211500,000$
6Brad Lambert (R)XX100.00503589576150525650325050505465020490213500,000$
7Daemon HuntX100.00505099587350535050505052555963020530224500,000$
8Emil Andrae (R)X100.00503595586750525050495049556062045520223500,000$
MOYENNE D’ÉQUIPE100.0063548763706363655459555952626405259
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
1Ville Husso100.00686969767063626664505070700256502911,000,000$
2Jiri Patera100.0050636078504849484750816262020540254500,000$
Rayé
MOYENNE D’ÉQUIPE100.005966657760565657565066666602360
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Martin St. Louis8096997070701CAN496500,000$


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
1Ryan JohansenBroncos (HAR)C472934631200611562156214213.49%11106522.67461019930112873164.95%137500011.1802000671
2Kent JohnsonBroncos (HAR)C/LW/RW55312455240151271874413416.58%10104218.96415231030000354252.13%72900001.0600000344
3Hendrix LapierreBroncos (HAR)C/RW55232851-1760141051945211911.86%1794617.2112311671012404150.41%72400011.0801000620
4Nathan BastianBroncos (HAR)LW/RW5514344864359272162471128.64%999918.1604418860001653045.60%12500000.9600001423
5Jesperi KotkaniemiBroncos (HAR)C/LW481628441316057671583911010.13%13102821.4324616931012911357.30%17800000.8622000344
6Boris KatchoukBroncos (HAR)LW/RW55142741316064671213510311.57%995717.4113411720001451155.56%7200000.8600000410
7Christian FischerBroncos (HAR)C/RW55192241-12009286135349914.07%1699118.0222415920001393155.70%54400100.8300000164
8David JiricekBroncos (HAR)D5573239-624095497222399.72%85123622.49268251020110100110%000000.6300000423
9Jacob Bernard-DockerBroncos (HAR)D55930394555875662224514.52%97130723.772241592000093100%000000.6000001127
10Urho VaakanainenBroncos (HAR)D33531365260683934183114.71%3378323.732461767000063100%000000.9200000015
11Isaak PhillipsBroncos (HAR)D5561925-72601352839132315.38%95120321.89134887000093010%000000.4200000302
12Marat KhusnutdinovBroncos (HAR)C5181523-1195374879146310.13%1469113.57000020000370050.00%29600000.6611001230
13Oskar SteenBroncos (HAR)C/RW55121022-231607153101266611.88%1281514.83000030000311147.24%36200000.5400000111
14Ethan BearBroncos (HAR)D4631619-1720080283710198.11%6683818.23011634000052000%000000.4500000020
15Rasmus KupariBroncos (HAR)C/LW/RW556814-322022286318499.52%1971412.99000011000010045.65%4600000.3900000000
16Jaret Anderson-DolanBroncos (HAR)C/LW/RW345510-17100323750142910.00%639811.73000114000000155.06%17800000.5000000010
17Emil AndraeBroncos (HAR)D44167-208031711279.09%4673016.60000114000036000%000000.1900000100
18Olle LycksellBroncos (HAR)RW42336-4002141771317.65%22626.2400018000000041.67%1200000.4600000000
19Brendan BrissonBroncos (HAR)C62021000570228.57%0498.2800000000030046.34%4100000.8100000001
20Josh DoanBroncos (HAR)RW38022-300778140%11804.76000116000000035.29%1700000.2200000001
21Filip ChytilBroncos (HAR)C/LW7011-200125030%0405.7300000000000051.52%3300000.5000000000
22Brad LambertBroncos (HAR)C/RW7000000000000%0111.6600000000070055.56%90000000000000
23Raphael LavoieBroncos (HAR)C/RW7000000000000%040.68000000000300100.00%10000000000000
24Daemon HuntBroncos (HAR)D14000-8401524160%1522616.180000200007000%00000000000000
Statistiques d’équipe totales ou en moyenne974213375588-13332515107810831761481121812.10%5761652716.9721385918810662249937231355.48%474200120.7136003393836
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
1Ville HussoBroncos (HAR)40151610.8774.2019422013611070001.00033223040
2Jiri PateraBroncos (HAR)33111200.8714.961367201138730001.00032332121
Statistiques d’équipe totales ou en moyenne73262810.8744.52330940249198000065555161


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
Boris KatchoukBroncos (HAR)LW/RW261998-06-18CANNo206 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------Lien NHL
Brad LambertBroncos (HAR)C/RW212003-12-19FINYes173 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Brendan BrissonBroncos (HAR)C232001-10-22USAYes191 Lbs6 ft0NoNoTrade2025-01-24NoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Christian FischerBroncos (HAR)C/RW271997-04-15USANo212 Lbs6 ft2NoNoN/ANoNo32024-08-19FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Daemon HuntBroncos (HAR)D222002-05-15CANNo201 Lbs6 ft1NoNoFree AgentNoNo42024-09-04FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------
David JiricekBroncos (HAR)D212003-11-28CZENo207 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$17,143$No500,000$--------500,000$--------No--------Lien NHL
Emil AndraeBroncos (HAR)D222002-02-23SWEYes189 Lbs5 ft9NoNoTrade2024-08-15NoNo32024-08-10FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Ethan BearBroncos (HAR)D271997-06-26CANNo197 Lbs5 ft11NoNoN/ANoNo32024-08-19FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Filip ChytilBroncos (HAR)C/LW251999-09-05CZENo208 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Hendrix LapierreBroncos (HAR)C/RW222002-02-09CANYes180 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$17,143$No500,000$--------500,000$--------No--------Lien NHL
Isaak PhillipsBroncos (HAR)D232001-09-28CANNo205 Lbs6 ft3NoNoTrade2024-08-25NoNo1FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------Lien NHL
Jacob Bernard-DockerBroncos (HAR)D242000-06-30CANNo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$17,143$No500,000$--------500,000$--------No--------Lien NHL
Jaret Anderson-DolanBroncos (HAR)C/LW/RW251999-09-12CANNo200 Lbs5 ft11NoNoTrade2024-08-25NoNo2FalseFalsePro & Farm500,000$50,000$17,143$No500,000$--------500,000$--------No--------Lien NHL
Jesperi KotkaniemiBroncos (HAR)C/LW242000-07-06FINNo201 Lbs6 ft2NoNoN/ANoNo42024-08-13FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien NHL
Jiri PateraBroncos (HAR)G251999-02-24CZENo212 Lbs6 ft3NoNoN/ANoNo42024-08-19FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien NHL
Josh DoanBroncos (HAR)RW222002-02-01USAYes183 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Kent JohnsonBroncos (HAR)C/LW/RW222002-10-18CANNo178 Lbs6 ft0NoNoTrade2024-08-15NoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Marat KhusnutdinovBroncos (HAR)C222002-07-17RUSYes176 Lbs5 ft11NoNoTrade2025-01-24NoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Matt SavoieBroncos (HAR)C212004-01-01CANYes179 Lbs5 ft9NoNoProspectNoNo12024-08-09FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------Lien / Lien NHL
Nathan BastianBroncos (HAR)LW/RW271997-12-06CANNo205 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Olle LycksellBroncos (HAR)RW251999-08-24SWENo163 Lbs5 ft10NoNoN/ANoNo42024-08-13FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien NHL
Oskar SteenBroncos (HAR)C/RW261998-03-09SWENo196 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$17,143$No500,000$--------500,000$--------No--------Lien NHL
Raphael LavoieBroncos (HAR)C/RW242000-09-25CANNo215 Lbs6 ft4NoNoFree AgentNoNo42024-09-04FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------
Rasmus KupariBroncos (HAR)C/LW/RW242000-03-15FINNo201 Lbs6 ft2NoNoFree AgentNoNo42024-09-04FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien NHL
Ryan JohansenBroncos (HAR)C321992-07-31CANNo218 Lbs6 ft3NoNoTrade2024-08-29NoNo2FalseFalsePro & Farm4,000,000$400,000$137,143$No4,000,000$--------4,000,000$--------No--------Lien NHL
Urho VaakanainenBroncos (HAR)D261999-01-01FINNo200 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Ville HussoBroncos (HAR)G291995-02-06FINNo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$100,000$34,286$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2724.33196 Lbs6 ft12.70648,148$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan BastianRyan JohansenHendrix Lapierre40122
2Jesperi KotkaniemiChristian FischerKent Johnson30122
3Boris KatchoukBrendan BrissonOskar Steen20122
4Rasmus KupariJaret Anderson-DolanRyan Johansen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenJacob Bernard-Docker40122
2David JiricekIsaak Phillips30122
3Ethan BearUrho Vaakanainen20122
4Jacob Bernard-DockerDavid Jiricek10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan BastianRyan JohansenHendrix Lapierre60122
2Jesperi KotkaniemiChristian FischerKent Johnson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenJacob Bernard-Docker60122
2David JiricekIsaak Phillips40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan JohansenNathan Bastian60122
2Hendrix LapierreChristian Fischer40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenJacob Bernard-Docker60122
2David JiricekIsaak Phillips40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Johansen60122Urho VaakanainenJacob Bernard-Docker60122
2Nathan Bastian40122David JiricekIsaak Phillips40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan JohansenNathan Bastian60122
2Hendrix LapierreChristian Fischer40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenJacob Bernard-Docker60122
2David JiricekIsaak Phillips40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan BastianRyan JohansenHendrix LapierreUrho VaakanainenJacob Bernard-Docker
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan BastianRyan JohansenHendrix LapierreUrho VaakanainenJacob Bernard-Docker
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Marat Khusnutdinov, Boris Katchouk, Brendan BrissonMarat Khusnutdinov, Boris KatchoukBrendan Brisson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ethan Bear, Isaak Phillips, Urho VaakanainenEthan BearIsaak Phillips, Urho Vaakanainen
Tirs de pénalité
Ryan Johansen, Nathan Bastian, Hendrix Lapierre, Christian Fischer, Jesperi Kotkaniemi
Gardien
#1 : Ville Husso, #2 : Jiri Patera
Lignes d’attaque personnalisées en prolongation
Ryan Johansen, Nathan Bastian, Hendrix Lapierre, Christian Fischer, Jesperi Kotkaniemi, Kent Johnson, Kent Johnson, Boris Katchouk, Brendan Brisson, Oskar Steen, Jaret Anderson-Dolan
Lignes de défense personnalisées en prolongation
Urho Vaakanainen, Jacob Bernard-Docker, David Jiricek, Isaak Phillips, Ethan Bear


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
1Aces20100100711-41000010056-11010000025-310.25071219006881584375365686171248106246116.67%30100.00%0950170555.72%966175854.95%57598258.55%142310301205356686360
2Admirals532000002519643100000221481010000035-260.60025436800688158419153656861712203503210110220.00%15286.67%2950170555.72%966175854.95%57598258.55%142310301205356686360
3Americiens413000001224-1221100000910-120200000314-1120.25012243600688158415153656861712171503090500.00%14378.57%0950170555.72%966175854.95%57598258.55%142310301205356686360
4Barons21100000541110000004221010000012-120.5005813006881584565365686171234198353133.33%40100.00%0950170555.72%966175854.95%57598258.55%142310301205356686360
5Barracuda11000000541000000000001100000054121.000591400688158428536568617124141020000%5260.00%0950170555.72%966175854.95%57598258.55%142310301205356686360
6Bruins1010000016-5000000000001010000016-500.00011200688158436536568617123581029300.00%5180.00%0950170555.72%966175854.95%57598258.55%142310301205356686360
7Butter Knives33000000181261100000063322000000129361.00018304800688158411653656861712107281069500.00%5340.00%0950170555.72%966175854.95%57598258.55%142310301205356686360
8Canucks11000000422110000004220000000000021.00048120068815843453656861712226419100.00%10100.00%0950170555.72%966175854.95%57598258.55%142310301205356686360
9Fighting Pandas31200000815-720200000513-81100000032120.333815230068815847953656861712843610555120.00%4250.00%0950170555.72%966175854.95%57598258.55%142310301205356686360
10Firebirds523000001521-62110000085331200000716-940.40015284300688158415953656861712209722810315426.67%14192.86%0950170555.72%966175854.95%57598258.55%142310301205356686360
11Griffins21100000880000000000002110000088020.500814220068815846753656861712882512405120.00%6266.67%0950170555.72%966175854.95%57598258.55%142310301205356686360
12Ice Bats2010001010100100000105411010000056-120.50010162600688158456536568617121102712367114.29%6266.67%0950170555.72%966175854.95%57598258.55%142310301205356686360
13Lions1010000035-2000000000001010000035-200.00034700688158431536568617122482243266.67%10100.00%0950170555.72%966175854.95%57598258.55%142310301205356686360
14Lynx1010000015-4000000000001010000015-400.0001230068815842153656861712277024300.00%000%0950170555.72%966175854.95%57598258.55%142310301205356686360
15Marlies311000108801010000002-22100001086240.667812200068815848753656861712961818501119.09%9277.78%0950170555.72%966175854.95%57598258.55%142310301205356686360
16Nordiks1010000079-21010000079-20000000000000.000714210068815844053656861712471944182150.00%5260.00%0950170555.72%966175854.95%57598258.55%142310301205356686360
17Punishers20200000510-51010000014-31010000046-200.0005813006881584515365686171252151236600.00%6350.00%0950170555.72%966175854.95%57598258.55%142310301205356686360
18Roadrunners523000001821-32110000098131200000913-440.4001833510068815841345365686171218253281068112.50%13376.92%0950170555.72%966175854.95%57598258.55%142310301205356686360
19Tomahawks211000001213-11010000057-21100000076120.5001220320068815848253656861712110261041400.00%5180.00%0950170555.72%966175854.95%57598258.55%142310301205356686360
20Wombats8420200036360622020002730-322000000963120.750366610200688158424253656861712232785015022522.73%18855.56%0950170555.72%966175854.95%57598258.55%142310301205356686360
21Wranglers1010000036-3000000000001010000036-300.00036900688158430536568617125816429100.00%20100.00%0950170555.72%966175854.95%57598258.55%142310301205356686360
Total55222802120211249-3827111202110117119-22811160001094130-36530.482211373584006881584172853656861712198057534010991252116.80%1413773.76%2950170555.72%966175854.95%57598258.55%142310301205356686360
_Since Last GM Reset55222802120211249-3827111202110117119-22811160001094130-36530.482211373584006881584172853656861712198057534010991252116.80%1413773.76%2950170555.72%966175854.95%57598258.55%142310301205356686360
_Vs Conference38171802010142167-25209902000868511889000105682-26400.5261422543960068815841216536568617121346400216777871416.09%972574.23%2950170555.72%966175854.95%57598258.55%142310301205356686360
_Vs Division201110020008484012750200057498845000002735-8260.6508415123500688158465953656861712732225122394521223.08%531375.47%2950170555.72%966175854.95%57598258.55%142310301205356686360

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5553W321137358417281980575340109900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5522282120211249
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2711122110117119
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
281116001094130
Derniers 10 matchs
WLOTWOTL SOWSOL
541000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1252116.80%1413773.76%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
536568617126881584
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
950170555.72%966175854.95%57598258.55%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
142310301205356686360


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
16Broncos4Firebirds3WSommaire du match
214Wombats6Broncos3LSommaire du match
527Broncos2Roadrunners6LSommaire du match
736Wombats4Broncos5WXSommaire du match
948Wombats5Broncos6WSommaire du match
1161Broncos3Roadrunners2WSommaire du match
1267Broncos1Firebirds5LSommaire du match
1479Admirals3Broncos7WSommaire du match
1688Broncos3Admirals5LSommaire du match
19104Wombats1Broncos5WSommaire du match
20115Firebirds1Broncos5WSommaire du match
21120Broncos4Wombats3WSommaire du match
25138Roadrunners5Broncos3LSommaire du match
27153Broncos2Americiens5LSommaire du match
28157Broncos4Griffins6LSommaire du match
31166Admirals5Broncos7WSommaire du match
35184Broncos5Ice Bats6LSommaire du match
37194Butter Knives3Broncos6WSommaire du match
39205Tomahawks7Broncos5LSommaire du match
40211Broncos1Barons2LSommaire du match
43223Broncos2Aces5LSommaire du match
45234Aces6Broncos5LXSommaire du match
47242Broncos3Wranglers6LSommaire du match
49250Broncos3Fighting Pandas2WSommaire du match
50261Marlies2Broncos0LSommaire du match
52271Broncos4Marlies3WXXSommaire du match
54283Roadrunners3Broncos6WSommaire du match
56297Americiens6Broncos3LSommaire du match
58306Broncos1Americiens9LSommaire du match
60315Broncos4Roadrunners5LSommaire du match
63327Fighting Pandas6Broncos4LSommaire du match
65341Admirals4Broncos3LSommaire du match
69360Punishers4Broncos1LSommaire du match
71365Broncos6Butter Knives5WSommaire du match
73380Wombats8Broncos1LSommaire du match
76392Broncos3Lions5LSommaire du match
78404Ice Bats4Broncos5WXXSommaire du match
80415Broncos4Punishers6LSommaire du match
82423Broncos7Tomahawks6WSommaire du match
84432Firebirds4Broncos3LSommaire du match
87448Canucks2Broncos4WSommaire du match
89460Broncos6Butter Knives4WSommaire du match
90469Americiens4Broncos6WSommaire du match
92479Broncos1Bruins6LSommaire du match
94490Broncos5Barracuda4WSommaire du match
95499Wombats6Broncos7WXSommaire du match
98511Broncos1Lynx5LSommaire du match
99520Nordiks9Broncos7LSommaire du match
102537Fighting Pandas7Broncos1LSommaire du match
104548Broncos5Wombats3WSommaire du match
106557Admirals2Broncos5WSommaire du match
107563Broncos2Firebirds8LSommaire du match
109574Broncos4Marlies3WSommaire du match
112587Barons2Broncos4WSommaire du match
114596Broncos4Griffins2WSommaire du match
116608Wranglers-Broncos-
118621Broncos-Fighting Pandas-
119627Broncos-Bruins-
121636Bruins-Broncos-
124650Griffins-Broncos-
128669Barracuda-Broncos-
130680Broncos-Wombats-
131689Broncos-Ice Bats-
133697Butter Knives-Broncos-
136710Marlies-Broncos-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
140730Bruins-Broncos-
141738Broncos-Roadrunners-
144748Broncos-Canucks-
145758Roadrunners-Broncos-
148771Broncos-Lynx-
150779Wombats-Broncos-
151785Broncos-Nordiks-
154796Broncos-Admirals-
156806Firebirds-Broncos-
159821Aces-Broncos-
160830Broncos-Canucks-
161840Broncos-Admirals-
163850Lions-Broncos-
167868Lynx-Broncos-
168873Broncos-Nordiks-
173892Lynx-Broncos-
174898Broncos-Firebirds-



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
14 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,449,427$ 1,750,000$ 1,750,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,750,000$ 1,120,872$ 27 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 60 12,857$ 771,420$




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