Silver Knights
GP: 27 | W: 2 | L: 24 | OTL: 1 | P: 5
GF: 86 | GA: 172 | PP%: 19.40% | PK%: 73.85%
DG: Maxime Pouliot | Morale : 75 | Moyenne d’équipe : 61
Prochain matchs #458 vs Wolf Pack
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
IceHogs
16-9-3, 35pts
5
FINAL
3 Silver Knights
2-24-1, 5pts
Team Stats
L1StreakL4
9-4-1Home Record0-14-1
7-5-2Away Record2-10-0
8-2-0Last 10 Games0-9-1
4.00Buts par match 3.19
3.36Buts contre par match 6.37
22.68%Pourcentage en avantage numérique19.40%
76.24%Pourcentage en désavantage numérique73.85%
Silver Knights
2-24-1, 5pts
2
FINAL
7 Devils
18-9-2, 38pts
Team Stats
L4StreakW8
0-14-1Home Record10-3-1
2-10-0Away Record8-6-1
0-9-1Last 10 Games9-1-0
3.19Buts par match 4.21
6.37Buts contre par match 3.93
19.40%Pourcentage en avantage numérique34.15%
73.85%Pourcentage en désavantage numérique77.50%
Silver Knights
2-24-1, 5pts
2025-12-07
Wolf Pack
13-13-4, 30pts
Statistiques d’équipe
L4SéquenceOTL1
0-14-1Fiche domicile6-5-2
2-10-0Fiche visiteur7-8-2
0-9-110 derniers matchs4-4-2
3.19Buts par match 3.70
6.37Buts contre par match 3.77
19.40%Pourcentage en avantage numérique20.65%
73.85%Pourcentage en désavantage numérique83.00%
Silver Knights
2-24-1, 5pts
2025-12-09
Sound Tigers
19-7-3, 41pts
Statistiques d’équipe
L4SéquenceL2
0-14-1Fiche domicile10-4-1
2-10-0Fiche visiteur9-3-2
0-9-110 derniers matchs6-2-2
3.19Buts par match 4.17
6.37Buts contre par match 2.76
19.40%Pourcentage en avantage numérique15.66%
73.85%Pourcentage en désavantage numérique79.27%
Silver Knights
2-24-1, 5pts
2025-12-11
Phantoms
17-7-2, 36pts
Statistiques d’équipe
L4SéquenceW1
0-14-1Fiche domicile10-4-1
2-10-0Fiche visiteur7-3-1
0-9-110 derniers matchs6-3-1
3.19Buts par match 4.00
6.37Buts contre par match 2.69
19.40%Pourcentage en avantage numérique27.91%
73.85%Pourcentage en désavantage numérique80.60%
Meneurs d'équipe
Matthew PoitrasButs
Matthew Poitras
3
Matthew PoitrasPasses
Matthew Poitras
3
Matthew PoitrasPoints
Matthew Poitras
6
Bradly NadeauPlus/Moins
Bradly Nadeau
3

Statistiques d’équipe
Buts pour
86
3.19 GFG
Tirs pour
1149
42.56 Avg
Pourcentage en avantage numérique
19.4%
13 GF
Début de zone offensive
37.5%
Buts contre
172
6.37 GAA
Tirs contre
1557
57.67 Avg
Pourcentage en désavantage numérique
73.8%
17 GA
Début de la zone défensive
44.2%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,943
Billets de saison300


Information formation

Équipe Pro19
Équipe Mineure19
Limite contact 38 / 80
Espoirs42


Historique d'équipe

Saison actuelle2-24-1 (5PTS)
Historique44-57-7 (0.407%)
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
1Gage Goncalves (R)0X100.006739846874828767736862636466670756502411,213,000$
2Brian Halonen0XX100.00673979637686786156596358626668075620262999,999$
3Konsta Helenius (R)0XX100.00593786656881716367605964626165075620193950,000$
4Tristan Broz (R)0X100.00663979627583706167606261646365075620223950,000$
5Anders Bjork46X100.00633792647274736359605762586971075620291900,000$
6Carl Berglund (R)0X100.00733894588276705664575359546567075600252950,000$
7Ondrej Pavel (R)0X100.00694173588176825761555659576567075600252950,000$
8Simon Robertsson (R)0X100.00633885607277645862596056586264075600223950,000$
9Tanner Dickinson (R)0X100.00593594556271735459535651556365075580232950,000$
10Fabian Wagner (R)0X100.00553691566473685461535752566163075570213950,000$
11Ryan Chyzowski (R)0X100.00563889557265615658535452576567075570253950,000$
12Maxwell Crozier (R)0X100.00724370638381826230645860516567075630252950,000$
13William Villeneuve (R)0X100.00634075667270806530685457486365075620231950,000$
14Stian Solberg (R)0X100.00703894647966606230605863496062075620193950,000$
15Shai Buium (R)0X100.00763990598564725730585163466264075610223950,000$
16Kevin Connauton0X100.00724466568174825530575458477577075600351750,000$
17Billy Sweezey0X100.00704269557963835430535256456971075590291750,000$
Rayé
MOYENNE D’ÉQUIPE100.0066398360757474595159575855656707561
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
1Gage GoncalvesSilver Knights (VGK)C171116271220117081253413.58%638622.7624619500111593056.97%49500001.4000000202
2Matthew PoitrasGolden KnightsC4336200611194915.79%29724.27011180000110055.40%13900001.2400000002
3Konsta HeleniusSilver Knights (VGK)C/RW162244000272628.57%0533.320000000000010.00%200001.5000000000
4Bradly NadeauGolden KnightsLW411232088156126.67%38521.4900000000000060.00%500000.4700000000
5Seamus CaseyGolden KnightsD4022360388270.00%29924.910113700006000.00%000000.4000000000
6Stian SolbergSilver Knights (VGK)D4000-100464010.00%47819.750001600008000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne491724412310032105134396912.69%1780116.3626824710111863156.47%64100001.0200000204
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
Statistiques d’équipe totales ou en moyenne0.0000.0000.000


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’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$614,062$900,000$614,062$0$0$NoLien / Lien NHL
Billy SweezeySilver Knights (VGK)D291996-02-06No206 Lbs6 ft1NoNoNo1Pro & Farm750,000$511,719$750,000$511,719$0$0$NoLien / Lien NHL
Brian HalonenSilver Knights (VGK)LW/RW261999-01-11No207 Lbs6 ft0NoNoNo2Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$Lien / Lien NHL
Carl BerglundSilver Knights (VGK)C252000-01-16Yes207 Lbs6 ft2NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Fabian WagnerSilver Knights (VGK)C212004-05-07Yes170 Lbs5 ft10NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Gage GoncalvesSilver Knights (VGK)C242001-01-16Yes184 Lbs6 ft1NoNoNo1Pro & Farm1,213,000$827,620$1,213,000$827,620$0$0$NoLien / Lien NHL
Jakub SkarekSilver Knights (VGK)G251999-11-10Yes211 Lbs6 ft4NoNoNo1Pro & Farm750,000$511,719$750,000$511,719$0$0$NoLien / Lien NHL
Kevin ConnautonSilver Knights (VGK)D351990-02-23No205 Lbs6 ft2NoNoNo1Pro & Farm750,000$511,719$750,000$511,719$0$0$NoLien / Lien NHL
Konsta HeleniusSilver Knights (VGK)C/RW192006-05-11Yes180 Lbs5 ft11NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Maxwell CrozierSilver Knights (VGK)D252000-04-19Yes198 Lbs6 ft3NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Ondrej PavelSilver Knights (VGK)C252000-08-29Yes205 Lbs6 ft2NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Ruslan KhazheyevSilver Knights (VGK)G202004-11-20Yes201 Lbs6 ft6NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Ryan ChyzowskiSilver Knights (VGK)C252000-05-14Yes190 Lbs6 ft0NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Shai BuiumSilver Knights (VGK)D222003-03-26Yes209 Lbs6 ft3NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Simon RobertssonSilver Knights (VGK)RW222003-02-05Yes190 Lbs6 ft0NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Stian SolbergSilver Knights (VGK)D192005-12-29Yes194 Lbs6 ft2NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Tanner DickinsonSilver Knights (VGK)C232002-03-05Yes150 Lbs5 ft11NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Tristan BrozSilver Knights (VGK)C222002-10-10Yes205 Lbs6 ft0NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
William VilleneuveSilver Knights (VGK)D232002-03-20Yes175 Lbs6 ft1NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1924.16194 Lbs6 ft12.11932,263$



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
1Barracuda20200000415-111010000038-51010000017-600.000481200302828058395383368310643858500.00%5180.00%0331103931.86%434122335.49%17250733.93%476319822200323136
2Bruins1010000036-31010000036-30000000000000.00036900302828050395383368351124274125.00%2150.00%0331103931.86%434122335.49%17250733.93%476319822200323136
3Checkers211000001011-11010000046-21100000065120.5001019291030282801213953833683141241275300.00%5180.00%0331103931.86%434122335.49%17250733.93%476319822200323136
4Crunch20200000811-31010000045-11010000046-200.0008152300302828086395383368385258398225.00%30100.00%0331103931.86%434122335.49%17250733.93%476319822200323136
5Devils1010000027-5000000000001010000027-500.000246003028280363953833683521522811100.00%10100.00%0331103931.86%434122335.49%17250733.93%476319822200323136
6Eagles1010000047-31010000047-30000000000000.000461000302828031395383368363131029100.00%5180.00%0331103931.86%434122335.49%17250733.93%476319822200323136
7Firebirds1010000047-3000000000001010000047-300.000471100302828036395383368371228312150.00%4250.00%0331103931.86%434122335.49%17250733.93%476319822200323136
8Griffins1010000036-31010000036-30000000000000.0003580030282804739538336836922637100.00%3166.67%0331103931.86%434122335.49%17250733.93%476319822200323136
9Gulls20200000310-71010000027-51010000013-200.00036900302828066395383368396236497114.29%30100.00%0331103931.86%434122335.49%17250733.93%476319822200323136
10IceHogs1010000035-21010000035-20000000000000.0003690030282803239538336836816429200.00%3166.67%0331103931.86%434122335.49%17250733.93%476319822200323136
11Reign1010000035-21010000035-20000000000000.0003690030282805739538336835218826200.00%40100.00%0331103931.86%434122335.49%17250733.93%476319822200323136
12Roadrunners20200000213-110000000000020200000213-1100.00024600302828069395383368311012952700.00%20100.00%0331103931.86%434122335.49%17250733.93%476319822200323136
13Rocket1010000026-41010000026-40000000000000.0002460030282805339538336834614436200.00%2150.00%0331103931.86%434122335.49%17250733.93%476319822200323136
14Senators1000010034-11000010034-10000000000010.50036900302828047395383368360188215120.00%40100.00%0331103931.86%434122335.49%17250733.93%476319822200323136
15Sound Tigers1010000039-61010000039-60000000000000.0003690030282804439538336837218623100.00%30100.00%0331103931.86%434122335.49%17250733.93%476319822200323136
16Thunderbirds1100000010460000000000011000000104621.000101929003028280833953833683532404011100.00%000.00%0331103931.86%434122335.49%17250733.93%476319822200323136
17Wild1010000039-6000000000001010000039-600.0003690030282803439538336836014430200.00%220.00%0331103931.86%434122335.49%17250733.93%476319822200323136
18Wolf Pack1010000028-61010000028-60000000000000.00023500302828029395383368355178242150.00%40100.00%0331103931.86%434122335.49%17250733.93%476319822200323136
19Wolves20200000714-71010000036-31010000048-400.000712190030282808339538336831203419565240.00%7442.86%0331103931.86%434122335.49%17250733.93%476319822200323136
20Wranglers20200000715-81010000048-41010000037-400.00071421003028280873953833683127358586233.33%3233.33%0331103931.86%434122335.49%17250733.93%476319822200323136
Total272240010086172-8615014001004696-5012210000004076-3650.09386162248103028280114939538336831557419142768671319.40%651773.85%0331103931.86%434122335.49%17250733.93%476319822200323136
_Since Last GM Reset272240010086172-8615014001004696-5012210000004076-3650.09386162248103028280114939538336831557419142768671319.40%651773.85%0331103931.86%434122335.49%17250733.93%476319822200323136
_Vs Conference14113000004390-47606000001940-21817000002450-2620.071438212500302828055339538336838062206540235514.29%31970.97%0331103931.86%434122335.49%17250733.93%476319822200323136
_Vs Division808000002152-31404000001228-1640400000924-1500.00021416200302828030439538336834521413822222418.18%19573.68%0331103931.86%434122335.49%17250733.93%476319822200323136

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
275L4861622481149155741914276810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
27224010086172
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1501401004696
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1221000004076
Derniers 10 matchs
WLOTWOTL SOWSOL
090100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
671319.40%651773.85%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
39538336833028280
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
331103931.86%434122335.49%17250733.93%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
476319822200323136


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 - 2025-10-087Reign5Silver Knights3BLSommaire du match
3 - 2025-10-0920Silver Knights1Barracuda7ALSommaire du match
5 - 2025-10-1137Silver Knights4Firebirds7ALSommaire du match
8 - 2025-10-1453Silver Knights3Wranglers7ALSommaire du match
10 - 2025-10-1669Bruins6Silver Knights3BLSommaire du match
12 - 2025-10-1887Wranglers8Silver Knights4BLSommaire du match
14 - 2025-10-2097Wolves6Silver Knights3BLSommaire du match
19 - 2025-10-25130Silver Knights6Checkers5AWSommaire du match
20 - 2025-10-26141Silver Knights4Crunch6ALSommaire du match
22 - 2025-10-28152Silver Knights4Wolves8ALSommaire du match
25 - 2025-10-31178Eagles7Silver Knights4BLSommaire du match
29 - 2025-11-04210Griffins6Silver Knights3BLSommaire du match
31 - 2025-11-06225Crunch5Silver Knights4BLSommaire du match
33 - 2025-11-08242Gulls7Silver Knights2BLSommaire du match
35 - 2025-11-10255Checkers6Silver Knights4BLSommaire du match
38 - 2025-11-13277Sound Tigers9Silver Knights3BLSommaire du match
40 - 2025-11-15292Silver Knights10Thunderbirds4AWSommaire du match
41 - 2025-11-16298Silver Knights3Wild9ALSommaire du match
43 - 2025-11-18313Wolf Pack8Silver Knights2BLSommaire du match
45 - 2025-11-20327Silver Knights1Roadrunners9ALSommaire du match
47 - 2025-11-22346Silver Knights1Gulls3ALSommaire du match
49 - 2025-11-24358Silver Knights1Roadrunners4ALSommaire du match
51 - 2025-11-26373Senators4Silver Knights3BLXSommaire du match
53 - 2025-11-28383Rocket6Silver Knights2BLSommaire du match
54 - 2025-11-29400Barracuda8Silver Knights3BLSommaire du match
57 - 2025-12-02419IceHogs5Silver Knights3BLSommaire du match
60 - 2025-12-05436Silver Knights2Devils7ALSommaire du match
62 - 2025-12-07458Silver Knights-Wolf Pack-
64 - 2025-12-09468Silver Knights-Sound Tigers-
66 - 2025-12-11483Silver Knights-Phantoms-
68 - 2025-12-13502Silver Knights-Monsters-
72 - 2025-12-17533Devils-Silver Knights-
75 - 2025-12-20559Silver Knights-Wranglers-
76 - 2025-12-21570Silver Knights-Condors-
78 - 2025-12-23586Barracuda-Silver Knights-
82 - 2025-12-27600Eagles-Silver Knights-
84 - 2025-12-29614Wild-Silver Knights-
86 - 2025-12-31623Admirals-Silver Knights-
88 - 2026-01-02640Silver Knights-Thunderbirds-
90 - 2026-01-04661Silver Knights-IceHogs-
92 - 2026-01-06673Silver Knights-Moose-
94 - 2026-01-08692Monsters-Silver Knights-
96 - 2026-01-10710Thunderbirds-Silver Knights-
97 - 2026-01-11715Silver Knights-Barracuda-
100 - 2026-01-14738Silver Knights-Reign-
101 - 2026-01-15748Marlies-Silver Knights-
103 - 2026-01-17765Admirals-Silver Knights-
105 - 2026-01-19775Phantoms-Silver Knights-
108 - 2026-01-22794Silver Knights-Bruins-
109 - 2026-01-23802Silver Knights-Marlies-
111 - 2026-01-25821Silver Knights-Senators-
113 - 2026-01-27832Silver Knights-Rocket-
115 - 2026-01-29856Stars-Silver Knights-
117 - 2026-01-31872Firebirds-Silver Knights-
118 - 2026-02-01875Silver Knights-Gulls-
121 - 2026-02-04901Comets-Silver Knights-
122 - 2026-02-05909Reign-Silver Knights-
142 - 2026-02-25916Silver Knights-Reign-
144 - 2026-02-27931Silver Knights-Bears-
146 - 2026-03-01947Silver Knights-Penguins-
148 - 2026-03-03960Silver Knights-Americans-
149 - 2026-03-04970Silver Knights-Griffins-
151 - 2026-03-06988Wild-Silver Knights-
153 - 2026-03-081007Condors-Silver Knights-
155 - 2026-03-101020Silver Knights-Stars-
157 - 2026-03-121039Penguins-Silver Knights-
159 - 2026-03-141056IceHogs-Silver Knights-
162 - 2026-03-171075Americans-Silver Knights-
164 - 2026-03-191091Roadrunners-Silver Knights-
166 - 2026-03-211100Silver Knights-Admirals-
167 - 2026-03-221115Silver Knights-Stars-
169 - 2026-03-241131Silver Knights-Moose-
171 - 2026-03-261148Condors-Silver Knights-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281166Bears-Silver Knights-
175 - 2026-03-301175Comets-Silver Knights-
178 - 2026-04-021201Wranglers-Silver Knights-
180 - 2026-04-041218Silver Knights-Condors-
183 - 2026-04-071242Silver Knights-Comets-
185 - 2026-04-091259Silver Knights-Firebirds-
187 - 2026-04-111274Silver Knights-Eagles-
189 - 2026-04-131291Moose-Silver Knights-
191 - 2026-04-151306Firebirds-Silver Knights-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance29,22014,929
Assistance PCT97.40%99.53%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-5 2943 - 98.11% 91,711$1,375,668$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
781,072$ 1,771,300$ 1,771,300$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 526,920$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-458,556$ 131 13,392$ 1,754,352$




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
2025272240010086172-8615014001004696-5012210000004076-36586162248103028280114939538336831557419142768671319.40%651773.85%0331103931.86%434122335.49%17250733.93%476319822200323136
Total Saison régulière109395705602382444-6256183003401200229-2953212702201182215-339638270310852414512211063938128512711360304266126980627963337321.92%3558276.90%81842402545.76%1998427746.71%871189545.96%2408163927738091380661
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