Silver Knights
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Maxime Pouliot | Morale : 75 | Moyenne d’équipe : 61
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Meneurs d'équipe

Statistiques d’équipe
Information d’équipe

Directeur généralMaxime Pouliot
EntraîneurDominique Ducharme
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Information formation

Équipe Pro20
Équipe Mineure19
Limite contact 39 / 80
Espoirs46


Historique d'équipe

Saison actuelle0-0
Historique49-103-8 (0.306%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)2-4
Stanley Cup0


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
1Bradly Nadeau (R)0X100.00613783676884726662676463686163075640203950,000$
2Ethan Cardwell (R)0X100.00663779656890866467636265616465075640232950,000$
3Brian Halonen0XX100.00673979637686786156596358626668075620262999,999$
4Konsta Helenius (R)0XX100.00593786656881716367605964626165075620193950,000$
5Tristan Broz (R)0X100.00663979627583706167606261646365075620223950,000$
6Anders Bjork46X100.00633792647274736359605762586971075620291900,000$
7Carl Berglund (R)0X100.00733894588276705664575359546567075600252950,000$
8Ondrej Pavel (R)0X100.00694173588176825761555659576567075600252950,000$
9Simon Robertsson (R)0X100.00633885607277645862596056586264075600223950,000$
10Tanner Dickinson (R)0X100.00593594556271735459535651556365075580232950,000$
11Fabian Wagner (R)0X100.00553691566473685461535752566163075570213950,000$
12Ryan Chyzowski (R)0X100.00563889557265615658535452576567075570253950,000$
13Maxwell Crozier (R)0X100.00724370638381826230645860516567075630252950,000$
14William Villeneuve (R)0X100.00634075667270806530685457486365075620231950,000$
15Stian Solberg (R)0X100.00703894647966606230605863496062075620193950,000$
16Shai Buium (R)0X100.00763990598564725730585163466264075610223950,000$
17Kevin Connauton0X100.00724466568174825530575458477577075600351750,000$
18Billy Sweezey0X100.00704269557963835430535256456971075590291750,000$
Rayé
MOYENNE D’ÉQUIPE100.0066398361747574595159575955646607561
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
1Jakub Skarek (R)100.0074827889737274737274736675075650251750,000$
2Ruslan Khazheyev (R)100.0068747193676668676668676165075620203950,000$
Rayé
MOYENNE D’ÉQUIPE100.007178759170697170697170647007564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme66747572787272CAN521800,000$


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
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


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Anders BjorkSilver Knights (VGK)LW291996-08-05No190 Lbs6 ft0NoNoNo1Pro & Farm900,000$300,000$900,000$300,000$0$0$NoLien / Lien NHL
Billy SweezeySilver Knights (VGK)D291996-02-06No206 Lbs6 ft1NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Bradly NadeauSilver Knights (VGK)LW202005-05-05Yes172 Lbs5 ft11NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Brian HalonenSilver Knights (VGK)LW/RW261999-01-11No207 Lbs6 ft0NoNoNo2Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$Lien / Lien NHL
Carl BerglundSilver Knights (VGK)C252000-01-16Yes207 Lbs6 ft2NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Ethan CardwellSilver Knights (VGK)RW232002-08-30Yes180 Lbs5 ft11NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Fabian WagnerSilver Knights (VGK)C212004-05-07Yes170 Lbs5 ft10NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Jakub SkarekSilver Knights (VGK)G251999-11-10Yes211 Lbs6 ft4NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Kevin ConnautonSilver Knights (VGK)D351990-02-23No205 Lbs6 ft2NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Konsta HeleniusSilver Knights (VGK)C/RW192006-05-11Yes180 Lbs5 ft11NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Maxwell CrozierSilver Knights (VGK)D252000-04-19Yes198 Lbs6 ft3NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Ondrej PavelSilver Knights (VGK)C252000-08-29Yes205 Lbs6 ft2NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Ruslan KhazheyevSilver Knights (VGK)G202004-11-20Yes201 Lbs6 ft6NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Ryan ChyzowskiSilver Knights (VGK)C252000-05-14Yes190 Lbs6 ft0NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Shai BuiumSilver Knights (VGK)D222003-03-26Yes209 Lbs6 ft3NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Simon RobertssonSilver Knights (VGK)RW222003-02-05Yes190 Lbs6 ft0NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Stian SolbergSilver Knights (VGK)D192005-12-29Yes194 Lbs6 ft2NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Tanner DickinsonSilver Knights (VGK)C232002-03-05Yes150 Lbs5 ft11NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Tristan BrozSilver Knights (VGK)C222002-10-10Yes205 Lbs6 ft0NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
William VilleneuveSilver Knights (VGK)D232002-03-20Yes175 Lbs6 ft1NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2023.90192 Lbs6 ft12.20920,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
236122
314122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
10 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,840,000$ 1,840,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 7 0$ 0$




Silver Knights Leaders statistiques (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
1Sam Carrick7136357175922217931411.46%31163022.97913227122475456.16%30.8712
2Nathan Todd79263864162725724810.48%21151919.24213154020237052.52%20.8402
3Derrick Pouliot821345580721751271359.63%100195023.795914710001600.00%00.5900
4Max Comtois762331545891631062509.20%20144318.99125175010121146.32%00.7501
5Michael Sgarbossa7718365417124919116710.78%22112714.641782100034055.51%00.9600

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
1Jakub Dobes68332660.9023.3039102421521930100.3333
2Matthew Murray199710.8953.17102360545150110.8005

Silver Knights 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
Saison régulière
202482373305502296272244118160330115413321411917022011421393912965418371411594826278989088899227270985066420282666022.56%2906577.59%81511298650.60%1564305451.21%699138850.36%1931132019506091057525
20258267001500263537-2744123600300132273-1414143401200131264-1331926349876130110827013403118011001109144693131543522681953618.46%1855072.97%11041313433.22%1267371634.10%515156033.01%14119422528619991415
Total Saison régulière16443103061002559809-25082205203601286406-12082235103401273403-1301105591039159844225176152761922070198821014174022165109942964619620.82%47511575.79%92552612041.70%2831677041.82%1214294841.18%33432262447812292048940
Séries éliminatoires
2024624000001718-132100000117430300000611-541733500077301806953535207683415120210.00%17476.47%010720851.44%11222150.68%449347.31%13892145448039
Total Séries éliminatoires624000001718-132100000117430300000611-541733500077301806953535207683415120210.00%17476.47%010720851.44%11222150.68%449347.31%13892145448039

Silver Knights Leaders statistiques (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
1Nathan Todd624640021229.09%011519.31000000000058.27%01.0400
2Radim Simek615632168128.33%1214223.7011270000000.00%00.8400
3Max Comtois6415-2413112020.00%014223.68101500011037.50%00.7000
4Radim Zohorna622410331020.00%1447.340000000000100.00%01.8200
5Anders Bjork613400310137.69%310217.02000300001012.50%00.7800

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
1Matthew Murray52210.9132.9630400151720000.0000
2Jakub Dobes10100.9143.0559003350000.0000