Day : 95
WPG - 2
UTA - 4
DAL - 3
OTT - 7
LOS - 4
BUF - 3
SJS - 3
CAR - 2
TOR - 3
TBL - 0
CLB - 4
WSH - 8
VAN - 4
PHI - 2
ANH - 3
NJD - 4
MIN - 2
NYR - 3
FLA - 3
PIT - 2
GRG - 2
SAR - 5
PRO - 6
NOR - 1
HAM - 3
GAT - 2
CTW - 6
SJS - 5
Day : 96
(20-23-1) - L2
(9-33-5) - L2
(34-10-2) - W2
(22-21-4) - L2
(27-16-3) - L2
(10-34-4) - L2
(23-20-4) - W4
(33-6-3) - W2
(19-23-3) - L2
(14-27-1) - L3
(15-23-7) - W3
(24-17-2) - W2
(25-15-7) - OTL1
(25-14-5) - W1
(24-19-3) - L1
(14-26-4) - L1
(25-17-3) - OTL1
(31-8-5) - W5
(24-18-6) - W3
(28-15-2) - W4
(26-12-1) - W1
(26-18-2) - L1
(25-11-5) - W1
(25-19-6) - L2
(26-19-2) - W3
(26-14-3) - W1
(31-6-6) - L1
(31-27-1) - L1
(26-10-6) - W2
(26-19-4) - W2
(31-7-4) - W8
(31-11-4) - L3
(27-12-1) - W2
(27-18-5) - OTL1
(16-26-4) - L1
(16-19-2) - L1
(15-22-4) - W1
(15-23-4) - L1
(16-20-5) - W1
(16-30-0) - W1
(14-26-4) - L1
(14-19-1) - W1

Henderson Silver Knights
GP: 44 | W: 24 | L: 19 | OTL: 1 | P: 49
GF: 179 | GA: 163 | PP%: 23.91% | PK%: 77.12%
DG: Jonathan Légaré | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #716 vs Lake Erie Monsters
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Henderson Silver Knights
24-19-1, 49pts
2
FINAL
3 Portland Crying Chiwawas
20-18-5, 45pts
Team Stats
W1SéquenceOTL1
14-6-1Fiche domicile12-8-1
10-13-0Fiche domicile8-10-4
6-4-0Derniers 10 matchs4-5-1
4.07Buts par match 3.70
3.70Buts contre par match 3.95
23.91%Pourcentage en avantage numérique21.80%
77.12%Pourcentage en désavantage numérique79.41%
Joliette Sportif
13-27-4, 30pts
2
FINAL
5 Henderson Silver Knights
24-19-1, 49pts
Team Stats
L2SéquenceW1
7-11-3Fiche domicile14-6-1
6-16-1Fiche domicile10-13-0
2-8-0Derniers 10 matchs6-4-0
3.25Buts par match 4.07
4.82Buts contre par match 3.70
22.06%Pourcentage en avantage numérique23.91%
68.83%Pourcentage en désavantage numérique77.12%
Lake Erie Monsters
14-26-4, 32pts
Jour 96
Henderson Silver Knights
24-19-1, 49pts
Statistiques d’équipe
L1SéquenceW1
8-13-0Fiche domicile14-6-1
6-13-4Fiche visiteur10-13-0
2-6-210 derniers matchs6-4-0
3.68Buts par match 4.07
4.84Buts contre par match 4.07
22.15%Pourcentage en avantage numérique23.91%
74.07%Pourcentage en désavantage numérique77.12%
Henderson Silver Knights
24-19-1, 49pts
Jour 97
Roberval Dwarfs
26-19-2, 54pts
Statistiques d’équipe
W1SéquenceW3
14-6-1Fiche domicile14-6-1
10-13-0Fiche visiteur12-13-1
6-4-010 derniers matchs7-3-0
4.07Buts par match 4.36
3.70Buts contre par match 4.36
23.91%Pourcentage en avantage numérique23.35%
77.12%Pourcentage en désavantage numérique81.29%
San Jose Barracuda
17-18-7, 41pts
Jour 100
Henderson Silver Knights
24-19-1, 49pts
Statistiques d’équipe
OTL1SéquenceW1
10-9-3Fiche domicile14-6-1
7-9-4Fiche visiteur10-13-0
4-3-310 derniers matchs6-4-0
3.12Buts par match 4.07
4.07Buts contre par match 4.07
20.31%Pourcentage en avantage numérique23.91%
76.97%Pourcentage en désavantage numérique77.12%
Meneurs d'équipe
Buts
Henrik Samuelsson
27
Passes
Danil Aimurzin
30
Points
Mitch Holmberg
55
Plus/Moins
Mitch Holmberg
18
Victoires
Cory Schneider
15
Pourcentage d’arrêts
Cory Schneider
0.883

Statistiques d’équipe
Buts pour
179
4.07 GFG
Tirs pour
1487
33.80 Avg
Pourcentage en avantage numérique
23.9%
44 GF
Début de zone offensive
39.7%
Buts contre
163
3.70 GAA
Tirs contre
1302
29.59 Avg
Pourcentage en désavantage numérique
77.1%%
35 GA
Début de la zone défensive
34.5%
Informations de l'équipe

Directeur généralJonathan Légaré
EntraîneurJack Capuano
DivisionLeetch
ConférenceFortunus
Capitaine
Assistant #1Will Borgen
Assistant #2Brent Pedersen


Informations de l’aréna

Capacité3,000
Assistance1,509
Billets de saison1,200


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 50
Espoirs23


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 moyen
1Justin BaileyXX100.009340798088868378667574697487861500N02921,850,000$
2Viktor Neuchev (R)X100.0061259978687982786573716575716765000212900,000$
3Yan-Pavel LaplanteXX100.00904579828481778078757571748182150002921,900,000$
4Nathan Légaré (R)XX100.0082437978818184786474737075727465000233950,000$
5Vasili Atanasov (R)XXX100.0058308178678481787172716574666255000223800,000$
6Danil Aimurzin (R)X100.0061308578718289787573706376736855000223800,000$
7Fabian Wagner (R)XX100.0066259077768081757271706678646265000203850,000$
8Henrik SamuelssonXX100.009140847986848383727676667594911500N03021,950,000$
9Mitch HolmbergX100.00672597837585868365777667779392150003111,950,000$
10Brent Pedersen (A)X100.009441807988868581707574727581801500N02921,500,000$
11Miikka SalomäkiXXX100.008635837884888477787272737490831500N03111,750,000$
12Mike AmadioXXX100.00773596818679777975757372718788550002811,750,000$
13Vladimir Grudinin (R)X100.0060258276687981746072628560686665000212850,000$
14Will Borgen (A)X100.00884077778585847950736490568288650002831,750,000$
15Hardy Häman Aktell (R)X100.00764983788582837653746587687070650002611,350,000$
16Shakir MukhamadullinX100.0087257777868280785075618863787475000221900,000$
17Nikita Okhotyuk (R)X100.0086507377848284765074638658757265000241900,000$
18Sergei Telegin (R)X100.00713084807685827760736387687371650002431,400,000$
19Jamie OleksiakX100.00974771728884777653736598599999150003211,100,000$
Rayé
1Adam KlapkaX100.00904573738776797668727168667068650002411,000,000$
2Zach SanfordXXX100.008240867987838080707474737385831500N03021,150,000$
3Jérémy LauzonX100.009545717786817577507363876272726500N02761,100,000$
MOYENNE D’ÉQUIPE100.008037827881828278647469767079774500
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 moyen
1Cory Schneider99.0087828186898890868590919999150003811,000,000$
2Nick Malik (R)100.008285818482818281848180656365000223800,000$
Rayé
1Antoine Bibeau100.0085848288878787888987887374650003021,500,000$
MOYENNE D’ÉQUIPE99.67858481868685868586868679794500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano82848280828170USA5822,000,000$


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 POSGP 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
1Mitch HolmbergRW4426295518001325153529816.99%1170316.00781525108000002041.67%36946011.5600000512
2Henrik SamuelssonLW/RW44272754420010221137477619.71%1373916.82771426170000003250.00%28626001.4611000462
3Justin BaileyLW/RW442224461224010130128528617.19%478017.756713251320110171038.46%397710011.1800000244
4Danil AimurzinC441130411820223177254214.29%672816.554111519131000001051.62%616315001.1312000024
5Yan-Pavel LaplanteC/LW44142438-162808351148391139.46%1185419.4351217321530114410252.90%8286612000.8900000023
6Nathan LégaréLW/RW44161430-133006534120379113.33%575617.18941330126000003037.78%456810000.7902000303
7Miikka SalomäkiC/LW/RW441413275200533368196220.59%1756412.84000002022542055.43%359296000.9600000020
8Viktor NeuchevLW4491726-900211510437838.65%573516.724111526152000002057.58%334510000.7100000201
9Dillon FournierD301211235160346861171719.67%3962020.691231261101144300.00%01432000.7400000141
10Brent PedersenLW44101121-260613156225317.86%1454612.420000001131872038.89%183813000.7700000221
11Nikita OkhotyukD4421719448065644724204.26%5375517.171451111000000100.00%0324000.5000000100
12Shakir MukhamadullinD4121517-320073785524393.64%5587021.231341816200007100.00%0041000.3900000110
13Jamie OleksiakD4421416134076874521284.44%4879918.17000000002141100.00%0154000.4000000100
14Vasili AtanasovC/LW/RW4451015-160121550123010.00%73618.2200000000241046.93%179204000.8300000000
15Sergei TeleginD4421315620019703721165.41%4480618.34000326000187000.00%0440000.3700000001
16Fabian WagnerC/RW443111422011164312236.98%646210.51011322000001047.06%17203000.6100000000
17Vladimir GrudininD4401313314018635531180.00%4473916.800557109000018000.00%0239000.3500000000
18Zach SanfordC/LW/RW21369-20019183912197.69%327413.070000000091040053.60%125183000.6600000001
19Mike AmadioC/LW/RW2344822012264613318.70%531713.81000001016811052.94%102303000.5000000000
20Will BorgenD44167-760163983312.50%403076.980111130221161000.00%0118000.4600000010
21Hardy Häman AktellD44347310033555824235.17%4461714.0400001000121000.00%0524000.2300000010
22Jérémy LauzonD28011-280202671260.00%132137.6100000000153000.00%0013000.0900000000
Statistiques d’équipe totales ou en moyenne891188314502283160929896154255697712.19%4871355615.224576121238148645933102725451.75%2425628376020.7425000222623
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
1Cory SchneiderHenderson Silver Knights (VEG)31151410.8833.42177080101862433201.00062915111
2Nick MalikHenderson Silver Knights (VEG)179500.8594.258762062440234000.00001529100
Statistiques d’équipe totales ou en moyenne48241910.8753.70264710016313026672064444211


Nom du joueur POS Âge Date de naissance Termes Contrat Cap % Année 2024Année 2025Année 2026Année 2027Année 2028Année 2029Année 2030
Attaquant
Adam KlapkaRW242000-01-02TW 10.00%1,000,000$RFA ( Groupe: 2 ) [Age: 25]
Brent PedersenLW291995-01-22NT TW 20.00%1,500,000$1,500,000$UFA [Age: 31]
Danil AimurzinC222002-01-02TW 30.00%800,000$800,000$800,000$RFA ( Groupe: 2 ) [Age: 25]
Fabian WagnerC/RW202004-01-02TW 30.00%850,000$850,000$850,000$RFA ( Groupe: 1 )[Age: 23]
Henrik SamuelssonLW/RW301994-01-22NT TW 20.00%1,950,000$1,950,000$UFA [Age: 32]
Justin BaileyLW/RW291995-01-22NT TW 20.00%1,850,000$1,850,000$UFA [Age: 31]
Miikka SalomäkiC/LW/RW311993-01-22NT TW 10.00%1,750,000$UFA [Age: 32]
Mike AmadioC/LW/RW281996-01-22TW 10.00%1,750,000$UFA [Age: 29]
Mitch HolmbergRW311993-01-22TW 10.00%1,950,000$UFA [Age: 32]
Nathan LégaréLW/RW232001-01-02TW 30.00%950,000$950,000$950,000$RFA ( Groupe: 2 ) [Age: 26]
Vasili AtanasovC/LW/RW222002-01-02TW 30.00%800,000$800,000$800,000$RFA ( Groupe: 2 ) [Age: 25]
Viktor NeuchevLW212003-01-02TW 20.00%900,000$900,000$RFA ( Groupe: 1 )[Age: 23]
Yan-Pavel LaplanteC/LW291995-01-22TW 20.00%1,900,000$1,900,000$UFA [Age: 31]
Zach SanfordC/LW/RW301994-01-22NT TW 20.00%1,150,000$1,150,000$UFA [Age: 32]
MOYENNE (14)26.360.00%0$12,650,000$3,400,000$0$0$0$0$
Défenseur
Hardy Häman AktellD261998-01-02TW 10.00%1,350,000$RFA ( Groupe: 2 ) [Age: 27]
Jamie OleksiakD321992-01-22TW 10.00%1,100,000$UFA [Age: 33]
Jérémy LauzonD271997-01-22NT TW 60.00%1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$UFA [Age: 33]
Nikita OkhotyukD242000-01-02TW 10.00%900,000$RFA ( Groupe: 2 ) [Age: 25]
Sergei TeleginD242000-01-02TW 30.00%1,400,000$1,400,000$1,400,000$RFA ( Groupe: 2 ) [Age: 27]
Shakir MukhamadullinD222002-01-02TW 10.00%900,000$RFA ( Groupe: 1 )[Age: 23]
Vladimir GrudininD212003-01-02TW 20.00%850,000$850,000$RFA ( Groupe: 1 )[Age: 23]
Will BorgenD281996-01-02TW 30.00%1,750,000$1,750,000$1,750,000$UFA [Age: 31]
MOYENNE (8)25.500.00%0$5,100,000$4,250,000$1,100,000$1,100,000$1,100,000$0$
Gardiens
Antoine BibeauG301994-01-22TW 20.00%1,500,000$1,500,000$UFA [Age: 32]
Cory SchneiderG381986-01-22TW 10.00%1,000,000$UFA [Age: 39]
Nick MalikG222002-01-02TW 30.00%800,000$800,000$800,000$RFA ( Groupe: 2 ) [Age: 25]

Légendes des Termes : FV = Ballotage forcé / NT = Non-échange / IN = Blessure / TW = Contract Deux Côté ('Can Play Pro' + 'Can Play Farm')

Note: Les montants de cap salarial pour l’année courant et le % de cap salariale sont basé sur un calcul du plafond salariale simple (Salaire Moyen ou Salaire de l’année selon vos options). Si votre plafond salarial est basé sur la calcul complexe, les résultats de cette analyse pourrait être légèrement incorrects. Le plafond salarial professionnel de l’année en cours est : 89,000,050$.




Attaque à 5 contre 5
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Justin BaileyYan-Pavel LaplanteNathan Légaré34041
2Henrik SamuelssonDanil AimurzinMitch Holmberg33041
3Viktor NeuchevMiikka SalomäkiMike Amadio25041
4Brent PedersenVasili AtanasovFabian Wagner8023
Défense à 5 contre 5
Ligne # Défense Défense % temps PHY DF OF
1Sergei TeleginJamie Oleksiak33023
2Nikita OkhotyukShakir Mukhamadullin30023
3Hardy Häman AktellVladimir Grudinin27041
4Will BorgenShakir Mukhamadullin10050
Attaque en avantage numérique
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Viktor NeuchevYan-Pavel LaplanteNathan Légaré60005
2Justin BaileyDanil AimurzinMitch Holmberg40005
Défense en avantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Shakir MukhamadullinHenrik Samuelsson60014
2Nikita OkhotyukVladimir Grudinin40014
Attaque à 4 en désavantage numérique
Ligne # Centre Ailier % temps PHY DF OF
1Mike AmadioBrent Pedersen60050
2Miikka SalomäkiYan-Pavel Laplante40050
Défense à 4 en désavantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Jamie OleksiakWill Borgen60050
2Sergei TeleginHardy Häman Aktell40050
3 joueurs en désavantage numérique
Ligne # Ailier % temps PHY DF OF Défense Défense % temps PHY DF OF
1Miikka Salomäki60050Jamie OleksiakWill Borgen60050
2Mike Amadio40050Sergei TeleginHardy Häman Aktell40050
Attaque à 4 contre 4
Ligne # Centre Ailier % temps PHY DF OF
1Yan-Pavel LaplanteNathan Légaré60014
2Danil AimurzinJustin Bailey40014
Défense à 4 contre 4
Ligne # Défense Défense % temps PHY DF OF
1Will BorgenSergei Telegin60014
2Nikita OkhotyukJamie Oleksiak40014
Attaque dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Justin BaileyYan-Pavel LaplanteNathan LégaréShakir MukhamadullinSergei Telegin
Défense dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Justin BaileyYan-Pavel LaplanteNathan LégaréShakir MukhamadullinJamie Oleksiak
Attaquants supplémentaires
Normal Avantage numérique Désavantage numérique
Justin Bailey, Nathan Légaré, Yan-Pavel LaplanteJustin Bailey, Nathan LégaréMiikka Salomäki
Défenseurs supplémentaires
Normal Avantage numérique Désavantage numérique
Shakir Mukhamadullin, Sergei Telegin, Nikita OkhotyukShakir MukhamadullinJamie Oleksiak, Sergei Telegin
Tirs de pénalité
Nathan Légaré, Danil Aimurzin, Henrik Samuelsson, Brent Pedersen, Viktor Neuchev
Gardien
#1 : Nick Malik, #2 : Cory Schneider, #3 : 0
Lignes d’attaque personnalisées en prolongation
Justin Bailey, Yan-Pavel Laplante, Nathan Légaré, Henrik Samuelsson, Miikka Salomäki, Mitch Holmberg, Mitch Holmberg, Vasili Atanasov, Danil Aimurzin, Fabian Wagner, Brent Pedersen
Lignes de défense personnalisées en prolongation
Shakir Mukhamadullin, Jamie Oleksiak, Sergei Telegin, Will Borgen, Hardy Häman Aktell


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
1Albany Devils320001001611532000100161150000000000050.8331627430066585329354750543287447286316531.25%14285.71%147895849.90%45183354.14%32662352.33%1025673965352659326
2Blainville-Boisbriand Armada1010000037-41010000037-40000000000000.00034700665853237547505432832710242150.00%50100.00%047895849.90%45183354.14%32662352.33%1025673965352659326
3Charlotte Checkers30200010712-51010000013-22010001069-320.33371118006658532955475054328933422579111.11%11372.73%047895849.90%45183354.14%32662352.33%1025673965352659326
4Chicago Wolves1010000036-3000000000001010000036-300.00035800665853226547505432830126172150.00%3166.67%047895849.90%45183354.14%32662352.33%1025673965352659326
5Chicoutimi Saguenéens11000000312000000000001100000031221.000358006658532395475054328278213400.00%10100.00%047895849.90%45183354.14%32662352.33%1025673965352659326
6Chisinau Pelicans1010000034-1000000000001010000034-100.000358006658532335475054328278421200.00%2150.00%047895849.90%45183354.14%32662352.33%1025673965352659326
7Connecticut Whale11000000312000000000001100000031221.00036900665853240547505432831144282150.00%20100.00%047895849.90%45183354.14%32662352.33%1025673965352659326
8Danbury Trashers21000010752100000104311100000032141.00071118006658532595475054328661312385240.00%60100.00%047895849.90%45183354.14%32662352.33%1025673965352659326
9Hamilton Bulldogs1010000014-31010000014-30000000000000.00012300665853229547505432825118277114.29%4250.00%047895849.90%45183354.14%32662352.33%1025673965352659326
10Houston Aeros5410000029191033000000201192110000098180.800294877006658532157547505432815953309623417.39%14285.71%047895849.90%45183354.14%32662352.33%1025673965352659326
11Joliette Sportif220000001037110000005231100000051441.000101828006658532835475054328622410339333.33%40100.00%047895849.90%45183354.14%32662352.33%1025673965352659326
12Laval Chiefs11000000431110000004310000000000021.000471100665853233547505432826116248225.00%30100.00%047895849.90%45183354.14%32662352.33%1025673965352659326
13Manitoba Moose2200000012840000000000022000000128441.0001222340066585326754750543285925124111545.45%6350.00%047895849.90%45183354.14%32662352.33%1025673965352659326
14Norfolk Admirals21100000761110000004221010000034-120.500712190066585326254750543285721224610330.00%11190.91%047895849.90%45183354.14%32662352.33%1025673965352659326
15Portland Crying Chiwawas624000002225-311000000642514000001621-540.3332239610066585322085475054328174593812233721.21%18477.78%147895849.90%45183354.14%32662352.33%1025673965352659326
16Providence Bruins1010000005-5000000000001010000005-500.000000006658532385475054328275419400.00%20100.00%047895849.90%45183354.14%32662352.33%1025673965352659326
17Quebec Stars1010000013-2000000000001010000013-200.0001120066585323154750543282891224200.00%6266.67%047895849.90%45183354.14%32662352.33%1025673965352659326
18Roberval Dwarfs11000000642110000006420000000000021.00061117006658532415475054328313821300.00%40100.00%047895849.90%45183354.14%32662352.33%1025673965352659326
19Rochester Americans2020000069-31010000034-11010000035-200.00061218006658532635475054328551320356233.33%10460.00%047895849.90%45183354.14%32662352.33%1025673965352659326
20San Jose Barracuda2200000015782200000015780000000000041.000152641006658532785475054328652318487342.86%9366.67%047895849.90%45183354.14%32662352.33%1025673965352659326
21Springfield Falcons21100000111011010000048-41100000072520.500111627006658532825475054328592216449222.22%8450.00%047895849.90%45183354.14%32662352.33%1025673965352659326
22Trois-Rivières Lions1010000035-21010000035-20000000000000.000336006658532335475054328298422200.00%220.00%047895849.90%45183354.14%32662352.33%1025673965352659326
23Wilkes-Barre/Scranton Penguins21100000752110000006151010000014-320.50071320006658532605475054328662016348112.50%8187.50%147895849.90%45183354.14%32662352.33%1025673965352659326
Total44221900120179163162113600110101792223913000107884-6490.5571793044830066585321487547505432813024503128971844423.91%1533577.12%347895849.90%45183354.14%32662352.33%1025673965352659326
_Since Last GM Reset44221900120179163162113600110101792223913000107884-6490.5571793044830066585321487547505432813024503128971844423.91%1533577.12%347895849.90%45183354.14%32662352.33%1025673965352659326
_Vs Conference3317130012014212319151030011079542518710000106369-6390.591142243385006658532110254750543289853492426711433625.17%1192777.31%347895849.90%45183354.14%32662352.33%1025673965352659326
_Vs Division1385000005548766000000312011725000002428-4160.6155597152006658532457547505432838214086271661725.76%411075.61%147895849.90%45183354.14%32662352.33%1025673965352659326

Total pour les joueurs
Matchs joués Points Séquence Buts Passes Points Tirs pour Tirs contre Tirs bloqués Minutes de pénalités Mises en échec Buts en filet désert Blanchissages
4449W11793044831487130245031289700
Tous les matchs
GP W L OTW OTL SOWSOL GF GA
4422190120179163
Matchs locaux
GP W L OTW OTL SOWSOL GF GA
21136011010179
Matchs extérieurs
GP W L OTW OTL SOWSOL GF GA
2391300107884
Derniers 10 matchs
W L OTW OTL SOWSOL
640000
Tentatives en avantage numérique Buts en avantage numérique % en avantage numérique Tentatives en désavantage numérique Buts contre en désavantage numérique % en désavantage numérique Buts pour en désavantage numérique
1844423.91%1533577.12%3
Tirs en 1e période Tirs en 2e période Tirs en 3e période Tirs en 4e période Buts en 1e période Buts en 2e période Buts en 3e période Buts en 4e période
54750543286658532
Mises en jeu
Gagnées en zone offensive Total en zone offensive % gagnées en zone offensive Gagnées en zone défensive Total en zone défensive % gagnées en zone défensive Gagnées en zone neutre Total en zone neutre % gagnées en zone neutre
47895849.90%45183354.14%32662352.33%
Temps avec la rondelle
En zone offensive Contrôle en zone offensive En zone défensive Contrôle en zone défensive En zone neutre Contrôle en zone neutre
1025673965352659326


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
Jour:2
213Henderson Silver Knights2Portland Crying Chiwawas7LSommaire du match
Jour:4
428San Jose Barracuda5Henderson Silver Knights7WSommaire du match
Jour:6
641Henderson Silver Knights1Portland Crying Chiwawas4LSommaire du match
Jour:8
854Portland Crying Chiwawas4Henderson Silver Knights6WSommaire du match
Jour:9
971Henderson Silver Knights4Portland Crying Chiwawas6LSommaire du match
Jour:12
1285Albany Devils3Henderson Silver Knights4WSommaire du match
Jour:15
15100Henderson Silver Knights5Joliette Sportif1WSommaire du match
Jour:17
17119Houston Aeros5Henderson Silver Knights7WSommaire du match
Jour:20
20144Roberval Dwarfs4Henderson Silver Knights6WSommaire du match
Jour:23
23166Henderson Silver Knights5Manitoba Moose4WSommaire du match
Jour:25
25177San Jose Barracuda2Henderson Silver Knights8WSommaire du match
Jour:27
27204Hamilton Bulldogs4Henderson Silver Knights1LSommaire du match
Jour:28
28211Henderson Silver Knights7Portland Crying Chiwawas1WSommaire du match
Jour:31
31241Houston Aeros2Henderson Silver Knights7WSommaire du match
Jour:36
36267Albany Devils7Henderson Silver Knights6LXSommaire du match
Jour:38
38279Henderson Silver Knights3Charlotte Checkers2WXXSommaire du match
Jour:40
40297Henderson Silver Knights3Norfolk Admirals4LSommaire du match
Jour:41
41308Trois-Rivières Lions5Henderson Silver Knights3LSommaire du match
Jour:44
44329Henderson Silver Knights3Chicago Wolves6LSommaire du match
Jour:45
45340Blainville-Boisbriand Armada7Henderson Silver Knights3LSommaire du match
Jour:47
47358Henderson Silver Knights7Springfield Falcons2WSommaire du match
Jour:50
50371Rochester Americans4Henderson Silver Knights3LSommaire du match
Jour:51
51385Henderson Silver Knights3Charlotte Checkers7LSommaire du match
Jour:54
54408Charlotte Checkers3Henderson Silver Knights1LSommaire du match
Jour:56
56430Danbury Trashers3Henderson Silver Knights4WXXSommaire du match
Jour:58
58446Henderson Silver Knights4Houston Aeros5LSommaire du match
Jour:59
59454Henderson Silver Knights3Chisinau Pelicans4LSommaire du match
Jour:61
61470Springfield Falcons8Henderson Silver Knights4LSommaire du match
Jour:63
63489Henderson Silver Knights5Houston Aeros3WSommaire du match
Jour:65
65503Houston Aeros4Henderson Silver Knights6WSommaire du match
Jour:68
68516Henderson Silver Knights3Rochester Americans5LSommaire du match
Jour:69
69532Henderson Silver Knights7Manitoba Moose4WSommaire du match
Jour:71
71545Laval Chiefs3Henderson Silver Knights4WSommaire du match
Jour:73
73566Albany Devils1Henderson Silver Knights6WSommaire du match
Jour:75
75575Henderson Silver Knights3Danbury Trashers2WSommaire du match
Jour:77
77594Henderson Silver Knights0Providence Bruins5LSommaire du match
Jour:79
79609Norfolk Admirals2Henderson Silver Knights4WSommaire du match
Jour:81
81614Henderson Silver Knights3Chicoutimi Saguenéens1WSommaire du match
Jour:83
83636Henderson Silver Knights1Quebec Stars3LSommaire du match
Jour:85
85647Henderson Silver Knights3Connecticut Whale1WSommaire du match
Jour:86
86654Wilkes-Barre/Scranton Penguins1Henderson Silver Knights6WSommaire du match
Jour:89
89665Henderson Silver Knights1Wilkes-Barre/Scranton Penguins4LSommaire du match
Jour:91
91684Henderson Silver Knights2Portland Crying Chiwawas3LSommaire du match
Jour:94
94691Joliette Sportif2Henderson Silver Knights5WSommaire du match
Jour:96
96716Lake Erie Monsters-Henderson Silver Knights-
Jour:97
97724Henderson Silver Knights-Roberval Dwarfs-
Jour:100
100748San Jose Barracuda-Henderson Silver Knights-
Jour:101
101755Henderson Silver Knights-Springfield Falcons-
Jour:104
104783Roberval Dwarfs-Henderson Silver Knights-
Jour:107
107797Henderson Silver Knights-San Jose Barracuda-
Jour:109
109818Milwaukee Admirals-Henderson Silver Knights-
Jour:110
110832Henderson Silver Knights-Chicoutimi Saguenéens-
Jour:112
112845Henderson Silver Knights-Portland Crying Chiwawas-
Jour:114
114852Henderson Silver Knights-Albany Devils-
Jour:115
115862San Jose Barracuda-Henderson Silver Knights-
Jour:118
118885Gatineau Olympiques-Henderson Silver Knights-
Jour:124
124918Connecticut Whale-Henderson Silver Knights-
Jour:126
126941Henderson Silver Knights-San Antonio Rampage-
Jour:127
127950Chicago Wolves-Henderson Silver Knights-
Jour:129
129974Bridgeport Sound Tigers-Henderson Silver Knights-
Jour:131
131984Henderson Silver Knights-Joliette Sportif-
Jour:133
1331001Henderson Silver Knights-Laval Chiefs-
Jour:135
1351010Henderson Silver Knights-Verdun Junior-
Jour:136
1361022Chisinau Pelicans-Henderson Silver Knights-
Jour:140
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1401047Henderson Silver Knights-Joliette Sportif-
Jour:141
1411052Gatineau Olympiques-Henderson Silver Knights-
Jour:145
1451081Providence Bruins-Henderson Silver Knights-
Jour:150
1501106Grand Rapids Griffins-Henderson Silver Knights-
Jour:152
1521124Henderson Silver Knights-The Nuuk Vikings-
Jour:154
1541143Binghamton Senators-Henderson Silver Knights-
Jour:157
1571168San Antonio Rampage-Henderson Silver Knights-
Jour:161
1611187Henderson Silver Knights-Bridgeport Sound Tigers-
Jour:162
1621206Portland Crying Chiwawas-Henderson Silver Knights-
Jour:166
1661230Manitoba Moose-Henderson Silver Knights-
Jour:168
1681248Henderson Silver Knights-Lake Erie Monsters-
Jour:170
1701256Henderson Silver Knights-The Nuuk Vikings-
Jour:172
1721266San Antonio Rampage-Henderson Silver Knights-
Jour:174
1741284Henderson Silver Knights-Grand Rapids Griffins-
Jour:176
1761293Henderson Silver Knights-Hamilton Bulldogs-
Jour:178
1781310Henderson Silver Knights-San Jose Barracuda-
Jour:179
1791320Hamilton Bulldogs-Henderson Silver Knights-
Jour:188
1881353Portland Crying Chiwawas-Henderson Silver Knights-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1 Niveau 2

Revenu
Matchs à domicile restants Assistance moyenne - % Revenu moyen par match Revenu annuel à ce jour Capacité Popularité de l’équipe

Dépenses
Dépenses annuelles à ce jour Salaire total des joueurs Salaire total moyen des joueurs Salaire des entraineurs
Plafond salarial par jour Plafond salarial à ce jour Joueurs Inclus dans le plafond salarial Joueurs exclut du plafond Salarial

Estimation
Revenus de la saison estimés Jours restants de la saison Dépenses par jour Dépenses de la saison estimées




Henderson Silver Knights 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

Henderson Silver Knights 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

Henderson Silver Knights Statistiques de l'Équipe de Carrière

Total Domicile Visiteur
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

Henderson Silver Knights 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

Henderson Silver Knights 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