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Silver Knights
GP: 6 | W: 2 | L: 4
GF: 20 | GA: 25 | PP%: 18.75% | PK%: 87.50%
DG: James | Morale : 50 | Moyenne d’équipe : 60
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Centre de jeu
Silver Knights
2-4-0, 4pts
7
FINAL
5 Gulls
8-7-0, 16pts
Team Stats
OTL1StreakL4
1-2-0Home Record3-4-0
1-2-0Away Record5-3-0
2-3-1Last 10 Games5-5-0
3.33Buts par match 3.20
4.17Buts contre par match 3.27
18.75%Pourcentage en avantage numérique11.67%
87.50%Pourcentage en désavantage numérique77.08%
Gulls
8-7-0, 16pts
4
FINAL
3 Silver Knights
2-4-0, 4pts
Team Stats
L4StreakOTL1
3-4-0Home Record1-2-0
5-3-0Away Record1-2-0
5-5-0Last 10 Games2-3-1
3.20Buts par match 3.33
3.27Buts contre par match 4.17
11.67%Pourcentage en avantage numérique18.75%
77.08%Pourcentage en désavantage numérique87.50%
Meneurs d'équipe
Buts
Liam Foudy
5
Passes
Adam Beckman
5
Points
Liam Foudy
8
Plus/Moins
Adam Beckman
4
Victoires
Ken Appleby
2
Pourcentage d’arrêts
Ken Appleby
0.846

Statistiques d’équipe
Buts pour
20
3.33 GFG
Tirs pour
186
31.00 Avg
Pourcentage en avantage numérique
18.8%
3 GF
Début de zone offensive
46.5%
Buts contre
25
4.17 GAA
Tirs contre
162
27.00 Avg
Pourcentage en désavantage numérique
87.5%%
3 GA
Début de la zone défensive
29.9%
Informations de l'équipe

Directeur généralJames
EntraîneurKirk Muller
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,986
Billets de saison0


Informations de la formation

Équipe Pro20
Équipe Mineure19
Limite contact 39 / 50
Espoirs34


Historique d'équipe

Saison actuelle2-4
Historique48-20-3 (0.676%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)2-4
Coupe Stanley0


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
1Liam FoudyXXX100.0075439580646264603460607525555566506302421,000,000$
2Adam Beckman (R)X100.007163896863788362505268626545456650620233894,167$
3Martin KautX100.006742968065567665346060672550506550620241900,000$
4Arnaud Durandeau (R)X100.007166846766798463506161625844446550620253762,500$
5Graeme Clarke (R)X100.007264916464747665806265636244446650620233925,000$
6Connor Zary (R)X100.0068657658657679648063616158444463506102231,005,000$
7Brayden Tracey (R)XX100.007369827069717558505556625344446150600233863,333$
8Mikhail Abramov (R)X100.007261976361727657715356615344446150580233809,444$
9Shane Bowers (R)X100.007264916664616453665051604844445750560242750,000$
10Calen AddisonX100.006140898163697787256948642554556450660242910,833$
11Pierre-Olivier JosephX100.0077448372706787662555496925565662506502411,075,833$
12Nils LundkvistX100.0071428776677077692552506725555561506402321,775,000$
13Jamie DrysdaleX100.0077678488675863687559456037575752506302211,775,000$
14Samuel Bolduc (R)X100.008045956580658266254553652545456150630233800,000$
15Tyler Tucker (R)X100.008499686378658662255048682546465950630242808,333$
16Jordan SpenceX100.006963828063778257255841603946475850620232919,167$
17Ryan O'Rourke (R)X100.007365916665697645253639593744445150570223894,167$
Rayé
1Luke Henman (R)X100.006862826662697550634648584644445550550243791,667$
2Kyle OlsonX100.006664726364555847504444564244445150520253775,000$
MOYENNE D’ÉQUIPE100.00725986706668766146545363414848605061
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
1Ken Appleby100.00444253854544454945454544444550490292750,000$
Rayé
MOYENNE D’ÉQUIPE100.0044425385454445494545454444455049
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller70696566837765CAN551700,000$


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
1Liam FoudySilver Knights (VGK)C/LW/RW65381100672511520.00%413823.070111110000180136.88%14100001.1600000010
2Adam BeckmanSilver Knights (VGK)LW625744011101621112.50%013322.241013120111180138.89%1800001.0500000001
3Martin KautSilver Knights (VGK)RW6246120561861211.11%113823.060001100001210066.67%600000.8700000000
4Nils LundkvistSilver Knights (VGK)D6055-5002116290.00%712220.47011211000021000.00%000000.8100000001
5Arnaud DurandeauSilver Knights (VGK)LW6325-36010102581512.00%314023.390003131013141071.43%700000.7100000101
6Jamie DrysdaleSilver Knights (VGK)D60441401271010.00%38313.830000100001000.00%000000.9600000001
7Graeme ClarkeSilver Knights (VGK)RW6134-520710273133.70%113622.830111130002100057.14%1400000.5800000000
8Brayden TraceySilver Knights (VGK)C/LW6134-32013624864.17%111519.1900004000180046.67%9000000.6900000000
9Connor ZarySilver Knights (VGK)C6213-4201161071520.00%112520.93112113000001054.62%11900000.4800000000
10Jordan SpenceSilver Knights (VGK)D6022100910000.00%3599.990000100004000.00%000000.6700000000
11Calen AddisonSilver Knights (VGK)D6022-200534250.00%413923.31011314011022000.00%000000.2900000000
12Tyler TuckerSilver Knights (VGK)D6112-512015342425.00%811719.52112211000015000.00%000000.3400000000
13Mikhail AbramovSilver Knights (VGK)C6202-32033123516.67%010617.7900000000000060.00%1000000.3700000000
14Shane BowersSilver Knights (VGK)C6101-3003453520.00%110517.63000020000000100.00%600000.1900000000
15Samuel BolducSilver Knights (VGK)D60112001111030.00%48714.510000000006000.00%000000.2300000000
16Pierre-Olivier JosephSilver Knights (VGK)D6000-3602747130.00%913622.82000314000019000.00%000000.00%00000000
17Ryan O'RourkeSilver Knights (VGK)D6000100701100.00%1518.640000000000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne102203656-25520157921864912210.75%51193919.013692013512381842247.45%41100000.5800000114
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
1Ken ApplebySilver Knights (VGK)62310.8463.7839700251620000.00%066000
Statistiques d’équipe totales ou en moyenne62310.8463.783970025162000066000


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 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
Adam BeckmanSilver Knights (VGK)LW232001-05-10Yes168 Lbs6 ft1NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien
Arnaud DurandeauSilver Knights (VGK)LW251999-01-14Yes181 Lbs5 ft11NoNoNo3Pro & Farm762,500$0$0$No762,500$762,500$Lien / Lien NHL
Brayden TraceySilver Knights (VGK)C/LW232001-05-28Yes186 Lbs6 ft1NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien
Calen AddisonSilver Knights (VGK)D242000-04-10No178 Lbs5 ft10NoNoNo2Pro & Farm910,833$0$0$No910,833$Lien
Connor ZarySilver Knights (VGK)C222001-09-25Yes178 Lbs6 ft0NoNoNo3Pro & Farm1,005,000$0$0$No1,005,000$1,005,000$Lien
Graeme ClarkeSilver Knights (VGK)RW232001-04-24Yes175 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Jamie DrysdaleSilver Knights (VGK)D222002-04-08No187 Lbs5 ft11NoNoNo1Pro & Farm1,775,000$0$0$NoLien
Jordan SpenceSilver Knights (VGK)D232001-02-24No175 Lbs5 ft10NoNoNo2Pro & Farm919,167$0$0$No919,167$Lien
Ken ApplebySilver Knights (VGK)G291995-04-09No210 Lbs6 ft4NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Kyle OlsonSilver Knights (VGK)RW251999-03-22No179 Lbs5 ft11NoNoNo3Pro & Farm775,000$0$0$No775,000$775,000$Lien
Liam FoudySilver Knights (VGK)C/LW/RW242000-02-04No174 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Luke HenmanSilver Knights (VGK)C242000-04-29Yes168 Lbs6 ft0NoNoNo3Pro & Farm791,667$0$0$No791,667$791,667$Lien
Martin KautSilver Knights (VGK)RW241999-10-02No174 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Mikhail AbramovSilver Knights (VGK)C232001-03-26Yes160 Lbs6 ft0NoNoNo3Pro & Farm809,444$0$0$No809,444$809,444$Lien
Nils LundkvistSilver Knights (VGK)D232000-07-27No187 Lbs5 ft11NoNoNo2Pro & Farm1,775,000$0$0$No1,775,000$Lien
Pierre-Olivier JosephSilver Knights (VGK)D241999-07-01No185 Lbs6 ft2NoNoNo1Pro & Farm1,075,833$0$0$NoLien / Lien NHL
Ryan O'RourkeSilver Knights (VGK)D222002-05-16Yes178 Lbs6 ft0NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien
Samuel BolducSilver Knights (VGK)D232000-12-09Yes210 Lbs6 ft4NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Shane BowersSilver Knights (VGK)C241999-07-30Yes170 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Tyler TuckerSilver Knights (VGK)D242000-03-01Yes205 Lbs6 ft1NoNoNo2Pro & Farm808,333$0$0$No808,333$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2023.70181 Lbs6 ft02.35959,222$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam BeckmanLiam FoudyMartin Kaut40122
2Arnaud DurandeauConnor ZaryGraeme Clarke30122
3Mikhail AbramovBrayden TraceyShane Bowers20122
4Liam FoudyMikhail AbramovMartin Kaut10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonPierre-Olivier Joseph40122
2Nils LundkvistTyler Tucker30122
3Jamie DrysdaleSamuel Bolduc20122
4Jordan SpenceRyan O'Rourke10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam BeckmanLiam FoudyMartin Kaut60122
2Arnaud DurandeauConnor ZaryGraeme Clarke40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonPierre-Olivier Joseph60122
2Nils LundkvistTyler Tucker40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Liam FoudyMartin Kaut60122
2Adam BeckmanArnaud Durandeau40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonPierre-Olivier Joseph60122
2Nils LundkvistTyler Tucker40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Liam Foudy60122Calen AddisonPierre-Olivier Joseph60122
2Martin Kaut40122Nils LundkvistTyler Tucker40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Liam FoudyMartin Kaut60122
2Adam BeckmanArnaud Durandeau40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonPierre-Olivier Joseph60122
2Nils LundkvistTyler Tucker40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam BeckmanLiam FoudyMartin KautCalen AddisonPierre-Olivier Joseph
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam BeckmanLiam FoudyMartin KautCalen AddisonPierre-Olivier Joseph
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brayden Tracey, Shane Bowers, Graeme ClarkeBrayden Tracey, Shane BowersGraeme Clarke
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jamie Drysdale, Samuel Bolduc, Jordan SpenceJamie DrysdaleSamuel Bolduc, Jordan Spence
Tirs de pénalité
Liam Foudy, Martin Kaut, Adam Beckman, Arnaud Durandeau, Graeme Clarke
Gardien
#1 : , #2 : Ken Appleby
Lignes d’attaque personnalisées en prolongation
Liam Foudy, Martin Kaut, Adam Beckman, Arnaud Durandeau, Graeme Clarke, Connor Zary, Connor Zary, Brayden Tracey, Mikhail Abramov, Shane Bowers,
Lignes de défense personnalisées en prolongation
Calen Addison, Pierre-Olivier Joseph, Nils Lundkvist, Tyler Tucker, Jamie Drysdale


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
1Gulls624000002025-531200000811-3312000001214-240.333203656001252118670504224162515215716318.75%24387.50%19319148.69%6712354.47%359736.08%214165108357544
Total624000002025-531200000811-3312000001214-240.333203656001252118670504224162515215716318.75%24387.50%19319148.69%6712354.47%359736.08%214165108357544
_Since Last GM Reset624000002025-531200000811-3312000001214-240.333203656001252118670504224162515215716318.75%24387.50%19319148.69%6712354.47%359736.08%214165108357544
_Vs Conference624000002025-531200000811-3312000001214-240.333203656001252118670504224162515215716318.75%24387.50%19319148.69%6712354.47%359736.08%214165108357544

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64OTL1203656186162515215700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400002025
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3120000811
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31200001214
Derniers 10 matchs
WLOTWOTL SOWSOL
131100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
16318.75%24387.50%1
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
7050422412521
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
9319148.69%6712354.47%359736.08%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
214165108357544


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
2 - 2023-09-308Silver Knights1Gulls4ALSommaire du match
4 - 2023-10-0216Silver Knights4Gulls5ALSommaire du match
6 - 2023-10-0424Gulls3Silver Knights4BWXSommaire du match
8 - 2023-10-0632Gulls4Silver Knights1BLSommaire du match
10 - 2023-10-0840Silver Knights7Gulls5AWSommaire du match
12 - 2023-10-1048Gulls4Silver Knights3BLXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets400
Assistance6,0002,959
Assistance PCT100.00%98.63%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 2986 - 99.54% 80,000$240,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,918,444$ 1,918,444$ 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$ 0 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
1Liam Foudy70394685503410610522617.26%18142820.41139224911295155.8131.1912
2Martin Kaut723541765618378020816.83%5138119.19712193100057148.8401.1011
3Calen Addison7276875401234776810.29%40157521.8852530480330000.00%00.9500
4Arnaud Durandeau723334675238816015721.02%6117716.35610161910145158.5701.1400
5Connor Zary7227356264619711113120.61%2131818.312791600025070.2920.9400

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
1Evan Cormier4635720.8881.722645210766780400.3333
2Matthew Villalta118300.8981.5466300171670100.00%0
3Ken Appleby205920.8323.0795801492920001.0003

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
202372452002311324146178362110022101616992362410001011637786100324595919011120111904190961365363018116033472213393317422.36%3095382.85%41193186863.87%856149957.10%665110760.07%229117491229415824479
Total Saison régulière72452002311324146178362110022101616992362410001011637786100324595919011120111904190961365363018116033472213393317422.36%3095382.85%41193186863.87%856149957.10%665110760.07%229117491229415824479
Séries éliminatoires
2023624000002025-531200000811-3312000001214-24203656001252118670504224162515215716318.75%24387.50%19319148.69%6712354.47%359736.08%214165108357544
Total Séries éliminatoires624000002025-531200000811-3312000001214-24203656001252118670504224162515215716318.75%24387.50%19319148.69%6712354.47%359736.08%214165108357544

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
1Liam Foudy6538110672520.00%413823.07011100000136.8801.1600
2Adam Beckman62574411101612.50%013322.24101301110138.8901.0500
3Martin Kaut624612561811.11%113823.06000100010066.6700.8700
4Arnaud Durandeau6325-3610102512.00%314023.39000310131071.4300.7100
5Nils Lundkvist6055-5021160.00%712220.4701120000000.00%00.8100

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
1Ken Appleby62310.8463.7839700251620000.00%0