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Silver Knights
GP: 80 | W: 38 | L: 39 | OTL: 3 | P: 79
GF: 303 | GA: 338 | PP%: 19.75% | PK%: 78.59%
DG: Michael Trépanier | Morale : 38 | Moyenne d’équipe : 64
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Centre de jeu
Silver Knights
38-39-3, 79pts
2
FINAL
6 Thunderbirds
48-30-2, 98pts
Team Stats
L3SéquenceL1
22-17-1Fiche domicile25-13-2
16-22-2Fiche domicile23-17-0
3-7-0Derniers 10 matchs6-3-1
3.79Buts par match 3.98
4.23Buts contre par match 3.51
19.75%Pourcentage en avantage numérique19.06%
78.59%Pourcentage en désavantage numérique79.34%
Admirals
33-35-12, 78pts
5
FINAL
2 Silver Knights
38-39-3, 79pts
Team Stats
W1SéquenceL3
18-17-5Fiche domicile22-17-1
15-18-7Fiche domicile16-22-2
3-7-0Derniers 10 matchs3-7-0
4.15Buts par match 3.79
4.44Buts contre par match 4.23
26.45%Pourcentage en avantage numérique19.75%
77.44%Pourcentage en désavantage numérique78.59%
Meneurs d'équipe
Buts
Victor Olofsson
55
Passes
Cedric Paquette
60
Points
Victor Olofsson
100
Plus/Moins
Dylan Coghlan
13
Victoires
Ebbe Siönäs
34
Pourcentage d’arrêts
Ebbe Siönäs
0.885

Statistiques d’équipe
Buts pour
303
3.79 GFG
Tirs pour
2418
30.23 Avg
Pourcentage en avantage numérique
19.8%
48 GF
Début de zone offensive
34.7%
Buts contre
338
4.23 GAA
Tirs contre
2702
33.78 Avg
Pourcentage en désavantage numérique
78.6%%
70 GA
Début de la zone défensive
37.4%
Informations de l'équipe

Directeur généralMichael Trépanier
EntraîneurPaul Maurice
DivisionMax-Sillig
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,817
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure21
Limite contact 50 / 250
Espoirs0


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
1Cedric PaquetteX100.008964847182668677667370617164533850720251750,000$
2Victor Olofsson (R)X100.006428837879807479716879637655515447720224900,000$
3Antti Suomela (R)X100.007639727883687868697573617254515059700243975,000$
4Jake Evans (R)X100.007141767667697376767571596648474955690223950,000$
5Hayden Hodgson (R)X100.007730947471716957417455864948485245690221500,000$
6Thomas SpellingX100.006831807468727582626674607457523055690251800,000$
7Pierre-Luc Dubois (R)X100.007536767085607768597667705443446829670204800,000$
8Fredrik Olofsson (R)X100.007442656970597872667365606049464443660221500,000$
9Jasper Weatherby (R)X100.007250686571527363525965595044426454610202500,000$
10Jonah Gadjovich (R)X100.006541656577487370555869495743456258610201500,000$
11Sasha Chmelevski (R)X100.005425696450566661747464405141417221590191500,000$
12Maksim Sushko (R)X100.005323764763686766565475416441426858580191500,000$
13Stelio Mattheos (R)X100.005933745753566460525353576142425921560191500,000$
14Jacob Olofsson (R)X100.005026664950505648464748485540405827490182500,000$
15Jakub Zboril (R)X100.007242817572707274517267756155465854710213975,000$
16Corey Shueneman (R)X100.007447827261786970497658765953505045700231500,000$
17Victor Mete (R)X100.005436768066637476477864695344446432670201850,000$
18Dylan Coghlan (R)X100.006029886565667263477057735345446242650204750,000$
19Matthew Kiersted (R)X100.005536876468636958336642684243455222620201500,000$
20Jacob Middleton (R)X100.00664965597073525527694859384444419610221300,000$
Rayé
1Eric Robinson (R)X100.006530787472757572676779547061504527690231500,000$
2Wade Allison (R)X100.006029806966677171656475526447454829650212650,000$
3Parker Kelly (R)X100.006123725061546365615964385942425320560191500,000$
4Jalen Chatfield (R)X100.008249757488766263467361765454485643730224900,000$
5Kyle Capobianco (R)X100.005834777150595769416651604644444426600211500,000$
6Jordan Harris (R)X100.005435706053635262455442555340407919550182500,000$
MOYENNE D’ÉQUIPE100.00663676676865696755676360584846553864
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
1Ebbe Siönäs100.00588068676771727984766855474159720231975,000$
2Cayden Primeau100.00707171706670736263646242427237660191500,000$
Rayé
1Ian Scott100.00574745515645424860456041416319500191250,000$
MOYENNE D’ÉQUIPE100.0062666163636262636962634643593863
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice73946168788261Can513500,000$


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
1Victor OlofssonSilver Knights (Veg)RW705545100034085803059615718.03%34133619.1013720381930112458238.61%1586730231.5012000944
2Cedric PaquetteSilver Knights (Veg)C6434609452801151472067513416.50%38140421.94613192217423572075047.94%21153825011.34000007101
3Thomas SpellingSilver Knights (Veg)RW80374279-5315119862728215513.60%21132316.5481119241740111271245.33%755914111.1911010852
4Antti SuomelaSilver Knights (Veg)C80294978-168351421352127412813.68%41151418.94716231618121341971148.34%12355424001.0301001283
5Jakub ZborilSilver Knights (Veg)D76104252-1049511114313553547.41%120189324.92279152092355256300%02872100.5501001026
6Jake EvansSilver Knights (Veg)C782228502420100971756311312.57%18102613.161014410001211150.10%5094017000.9700000123
7Fredrik OlofssonSilver Knights (Veg)LW65222547146011189144458815.28%33108616.712681410701121072064.58%482213000.8700000013
8Hayden HodgsonSilver Knights (Veg)LW77132538260115134115327411.30%45164521.37268619921332022138.14%1182440000.4601000213
9Jalen ChatfieldSilver Knights (Veg)D6833437381511813510750492.80%100184127.08325111960222235100%02862000.4000010220
10Eric RobinsonSilver Knights (Veg)LW29161127-8235482786234018.60%1361021.051236690003843241.18%511610000.8811001301
11Pierre-Luc DuboisSilver Knights (Veg)C79101424-30295826999475710.10%2784510.701121540000101141.09%3481410000.5700010020
12Jonah GadjovichSilver Knights (Veg)LW80131023458010769120247110.83%2797812.230000170000483038.71%311918000.4700000002
13Dylan CoghlanSilver Knights (Veg)D632182013602379358145.71%6794415.00011143011087000%0428000.4200000000
14Wade AllisonSilver Knights (Veg)RW49812201160393178215310.26%1255711.38112216000042046.15%13249000.7200000102
15Victor MeteSilver Knights (Veg)D6721719-2020046879548382.11%77125618.7514531370001121000%03839000.3000000000
16Corey ShuenemanSilver Knights (Veg)D7041418-17340741276941355.80%95145220.7401131510002176100%01757000.2511000000
17Philip LarsenGolden KnightsD2068144100364939132415.38%2755727.90213461000174100%01219000.5000000110
18Maksim SushkoSilver Knights (Veg)RW806713-12140393344163113.64%87979.96000011000000045.45%22610000.3300000101
19Jasper WeatherbySilver Knights (Veg)C7375120280513547213314.89%85096.98000080001591042.49%193613000.4700000011
20Parker KellySilver Knights (Veg)LW41246-12602314375125.41%43418.3300002000061044.44%943000.3500000001
21Jacob OlofssonSilver Knights (Veg)C572242407730266.67%31482.60000000000210030.91%5501000.5400000000
22Matthew KierstedSilver Knights (Veg)D47044700133023370%3161013.00000016000133000%0123000.1300000000
23Jacob MiddletonSilver Knights (Veg)D27033-3200201711460%1635813.27011010000016000%0113000.1700000000
24Jordan HarrisSilver Knights (Veg)D36033-410012218120%1539110.8900004000012000%005000.1500000000
25Stelio MattheosSilver Knights (Veg)RW54022-126012218350%12875.3200005000000030.77%1308000.1400000000
26Sasha ChmelevskiSilver Knights (Veg)C40011000320110%1511.3000002000040046.15%2620000.3800000000
27Kyle CapobiancoSilver Knights (Veg)D34011-14406119140%72587.600000000018000%0011000.0800000000
Statistiques d’équipe totales ou en moyenne1604303486789-10967830165717752482850138712.21%8892403114.985080130170209281422372071371046.78%5019524574450.6648033373933
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
1Ebbe SiönäsSilver Knights (Veg)68342430.8853.9436420023920811102900.66736217304
2Cayden PrimeauSilver Knights (Veg)36101830.8654.3917222012693545511032948001
Statistiques d’équipe totales ou en moyenne104444260.8794.085365203653016155710169165305


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Antti SuomelaSilver Knights (Veg)C241994-01-01Yes180 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm975,000$4,851$0$0$No1,200,000$1,800,000$-------NoNo-------
Cayden PrimeauSilver Knights (Veg)G191999-01-01No203 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Cedric PaquetteSilver Knights (Veg)C251993-01-01No180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$3,731$0$0$No------------------
Corey ShuenemanSilver Knights (Veg)D231995-01-01Yes196 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Dylan CoghlanSilver Knights (Veg)D201998-01-01Yes190 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm750,000$3,731$0$0$No750,000$750,000$750,000$------NoNoNo------
Ebbe SiönäsSilver Knights (Veg)G231995-01-01No185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm975,000$4,851$0$0$No------------------
Eric RobinsonSilver Knights (Veg)LW231995-01-01Yes197 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Fredrik OlofssonSilver Knights (Veg)LW221996-01-01Yes204 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Hayden HodgsonSilver Knights (Veg)LW221996-01-01Yes220 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Ian ScottSilver Knights (Veg)G191999-01-01No178 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm250,000$1,244$0$0$No------------------
Jacob MiddletonSilver Knights (Veg)D221996-01-01Yes214 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm300,000$1,493$0$0$No------------------
Jacob OlofssonSilver Knights (Veg)C182000-01-01Yes196 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Jake EvansSilver Knights (Veg)C221996-01-01Yes188 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm950,000$4,726$0$0$No950,000$950,000$-------NoNo-------
Jakub ZborilSilver Knights (Veg)D211997-01-01Yes200 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm975,000$4,851$0$0$No2,000,000$2,500,000$-------NoNo-------
Jalen ChatfieldSilver Knights (Veg)D221996-01-01Yes187 Lbs6 ft1NoNoN/ANoNo4FalseFalsePro & Farm900,000$4,478$0$0$No1,500,000$2,000,000$3,000,000$------NoNoNo------
Jasper WeatherbySilver Knights (Veg)C201998-01-01Yes222 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Jonah GadjovichSilver Knights (Veg)LW201998-01-01Yes209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Jordan HarrisSilver Knights (Veg)D182000-01-01Yes189 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Kyle CapobiancoSilver Knights (Veg)D211997-01-01Yes196 Lbs6 ft1NoNoN/ANoNo1FalseFalseFarm Only500,000$2,488$0$0$No------------------
Maksim SushkoSilver Knights (Veg)RW191999-01-01Yes206 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Matthew KierstedSilver Knights (Veg)D201998-01-01Yes181 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Parker KellySilver Knights (Veg)LW191999-01-01Yes188 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Pierre-Luc DuboisSilver Knights (Veg)C201998-01-01Yes218 Lbs6 ft3NoNoN/ANoNo4FalseFalsePro & Farm800,000$3,980$0$0$No900,000$1,250,000$2,000,000$------NoNoNo------
Sasha ChmelevskiSilver Knights (Veg)C191999-01-01Yes188 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Stelio MattheosSilver Knights (Veg)RW191999-01-01Yes200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Thomas SpellingSilver Knights (Veg)RW251993-01-01No176 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm800,000$3,980$0$0$No------------------
Victor MeteSilver Knights (Veg)D201998-01-01Yes183 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm850,000$4,229$0$0$No------------------
Victor OlofssonSilver Knights (Veg)RW221996-01-01Yes181 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm900,000$4,478$0$0$No1,500,000$2,000,000$2,500,000$------NoNoNo------
Wade AllisonSilver Knights (Veg)RW211997-01-01Yes205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm650,000$3,234$0$0$No650,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2920.97195 Lbs6 ft11.76631,897$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Hayden HodgsonCedric PaquetteVictor Olofsson40122
2Fredrik OlofssonAntti SuomelaThomas Spelling30113
3Jonah GadjovichJake EvansMaksim Sushko20122
4Hayden HodgsonPierre-Luc DuboisStelio Mattheos10221
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilCorey Shueneman40122
2Victor MeteDylan Coghlan30122
3Matthew KierstedJacob Middleton20122
4Jakub ZborilCorey Shueneman10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Hayden HodgsonCedric PaquetteVictor Olofsson60113
2Fredrik OlofssonAntti SuomelaThomas Spelling40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilCorey Shueneman60122
2Victor MeteDylan Coghlan40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cedric PaquetteHayden Hodgson60122
2Antti SuomelaFredrik Olofsson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilCorey Shueneman60122
2Victor MeteDylan Coghlan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cedric Paquette60122Jakub ZborilCorey Shueneman60122
2Antti Suomela40122Victor MeteDylan Coghlan40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cedric PaquetteHayden Hodgson60122
2Antti SuomelaFredrik Olofsson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilCorey Shueneman60122
2Victor MeteDylan Coghlan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hayden HodgsonCedric PaquetteVictor OlofssonJakub ZborilCorey Shueneman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hayden HodgsonCedric PaquetteVictor OlofssonJakub ZborilCorey Shueneman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Hayden Hodgson, Jake Evans, Pierre-Luc DuboisHayden Hodgson, Jake EvansHayden Hodgson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan Coghlan, Matthew Kiersted, Jacob MiddletonDylan CoghlanDylan Coghlan, Matthew Kiersted
Tirs de pénalité
Victor Olofsson, Cedric Paquette, Antti Suomela, Thomas Spelling, Hayden Hodgson
Gardien
#1 : Ebbe Siönäs, #2 : Cayden Primeau
Lignes d’attaque personnalisées en prolongation
Victor Olofsson, Cedric Paquette, Antti Suomela, Thomas Spelling, Hayden Hodgson, Jake Evans, Jake Evans, Pierre-Luc Dubois, Fredrik Olofsson, Jonah Gadjovich, Jasper Weatherby
Lignes de défense personnalisées en prolongation
Jakub Zboril, Corey Shueneman, Victor Mete, Dylan Coghlan, Matthew Kiersted


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
1Admirals31200000910-1211000006601010000034-120.33391625008810310679282877680314973016746116.67%8275.00%1787166047.41%844179047.15%637133547.72%161587117387671466719
2Americans22000000743110000003121100000043141.00071320008810310675982877680314651510345120.00%5180.00%0787166047.41%844179047.15%637133547.72%161587117387671466719
3Barracuda20200000913-41010000045-11010000058-300.0009142300881031067688287768031477161839500.00%9455.56%0787166047.41%844179047.15%637133547.72%161587117387671466719
4Bears8610010032239321000007705400010025169130.8133255870088103106721982877680314275758217430516.67%36488.89%2787166047.41%844179047.15%637133547.72%161587117387671466719
5Canucks321000001214-21100000054121100000710-340.6671222340088103106785828776803149537265310220.00%13284.62%1787166047.41%844179047.15%637133547.72%161587117387671466719
6Checkers312000001215-321100000810-21010000045-120.3331222340088103106795828776803141073632649333.33%16568.75%0787166047.41%844179047.15%637133547.72%161587117387671466719
7Comets824020002936-7412010001520-5412010001416-280.5002946750088103106724682877680314274788315621419.05%39782.05%0787166047.41%844179047.15%637133547.72%161587117387671466719
8Condors20100010911-2100000104311010000058-320.50091423008810310677282877680314764229333133.33%12375.00%1787166047.41%844179047.15%637133547.72%161587117387671466719
9Crunch412001001116-52010010069-32110000057-230.37511172800881031067121828776803141214530781218.33%15380.00%0787166047.41%844179047.15%637133547.72%161587117387671466719
10Eagles32100000181262110000010641100000086240.667182543008810310679382877680314953816667342.86%80100.00%1787166047.41%844179047.15%637133547.72%161587117387671466719
11Griffins422000001419-521100000812-42110000067-140.50014203410881031067101828776803141593741767114.29%19478.95%0787166047.41%844179047.15%637133547.72%161587117387671466719
12Icehogs2110000089-1110000006421010000025-320.50081422008810310675882877680314642410319333.33%5260.00%0787166047.41%844179047.15%637133547.72%161587117387671466719
13Islander624000002631-5312000001014-4312000001617-140.3332636620088103106717682877680314209665511529620.69%271159.26%0787166047.41%844179047.15%637133547.72%161587117387671466719
14Little Stars31101000131302010100089-11100000054140.6671322350088103106795828776803141123226469222.22%13376.92%0787166047.41%844179047.15%637133547.72%161587117387671466719
15Marlies2010010068-21010000023-11000010045-110.2506814008810310675782877680314721916494125.00%8187.50%0787166047.41%844179047.15%637133547.72%161587117387671466719
16Moose321000001314-121100000712-51100000062440.66713213400881031067958287768031412434165813215.38%8450.00%1787166047.41%844179047.15%637133547.72%161587117387671466719
17Penguins321000001394110000005142110000088040.6671320330088103106796828776803147526225915426.67%11190.91%0787166047.41%844179047.15%637133547.72%161587117387671466719
18Phantoms21100000853110000006241010000023-120.50081220008810310677182877680314511714496233.33%8187.50%0787166047.41%844179047.15%637133547.72%161587117387671466719
19Punishers31200000913-4211000007701010000026-420.3339142300881031067102828776803141024328653133.33%14471.43%1787166047.41%844179047.15%637133547.72%161587117387671466719
20Reign2020000048-41010000024-21010000024-200.000471100881031067568287768031458181637500.00%8187.50%0787166047.41%844179047.15%637133547.72%161587117387671466719
21Rocket2010100089-1100010003211010000057-220.50081321008810310676282877680314602820366116.67%10280.00%0787166047.41%844179047.15%637133547.72%161587117387671466719
22Senators211000001091110000006421010000045-120.500101626008810310676082877680314681916498225.00%8275.00%0787166047.41%844179047.15%637133547.72%161587117387671466719
23Thunderbirds30300000513-81010000014-32020000049-500.00058130088103106776828776803141064314558112.50%7185.71%0787166047.41%844179047.15%637133547.72%161587117387671466719
24Wolfpack30201000918-91000100054120200000414-1020.3339152400881031067938287768031498262860600.00%14192.86%0787166047.41%844179047.15%637133547.72%161587117387671466719
25Wranglers22000000963110000004311100000053241.00091423008810310677082877680314622212577114.29%6183.33%0787166047.41%844179047.15%637133547.72%161587117387671466719
Total80323905310303338-3540171704110148156-840152201200155182-27790.49430348478710881031067241882877680314270286667616132434819.75%3277078.59%8787166047.41%844179047.15%637133547.72%161587117387671466719
_Since Last GM Reset80323905310303338-3540171704110148156-840152201200155182-27790.49430348478710881031067241882877680314270286667616132434819.75%3277078.59%8787166047.41%844179047.15%637133547.72%161587117387671466719
_Vs Conference50202404200189213-2424911031008795-826111301100102118-16500.5001893024910088103106714978287768031416695454429911593220.13%2134280.28%5787166047.41%844179047.15%637133547.72%161587117387671466719
_Vs Division22109021008790-31045010003241-912640110055496250.568871372240088103106764182877680314758219220445801518.75%1022278.43%2787166047.41%844179047.15%637133547.72%161587117387671466719

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8079L330348478724182702866676161310
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8032395310303338
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4017174110148156
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4015221200155182
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2434819.75%3277078.59%8
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
82877680314881031067
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
787166047.41%844179047.15%637133547.72%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
161587117387671466719


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
210Silver Knights3Bears2WSommaire du match
420Comets3Silver Knights5WSommaire du match
631Silver Knights5Comets4WXSommaire du match
845Islander4Silver Knights6WR1Sommaire du match
1159Silver Knights9Bears4WSommaire du match
1265Silver Knights5Comets4WSommaire du match
1478Bears1Silver Knights4WSommaire du match
1792Comets3Silver Knights4WXSommaire du match
19104Silver Knights5Bears6LXSommaire du match
21112Silver Knights1Islander7LR1Sommaire du match
23123Silver Knights2Canucks7LSommaire du match
24129Punishers4Silver Knights6WSommaire du match
28152Griffins4Silver Knights7WSommaire du match
30161Silver Knights5Islander6LR1Sommaire du match
32171Silver Knights3Crunch2WSommaire du match
33180Islander4Silver Knights3LR1Sommaire du match
36194Silver Knights3Wolfpack8LSommaire du match
39206Checkers4Silver Knights5WSommaire du match
43225Silver Knights2Icehogs5LSommaire du match
44234Penguins1Silver Knights5WSommaire du match
49256Islander6Silver Knights1LR1Sommaire du match
51263Silver Knights8Eagles6WSommaire du match
53273Silver Knights2Reign4LSommaire du match
55286Rocket2Silver Knights3WXSommaire du match
60307Little Stars7Silver Knights5LSommaire du match
62320Silver Knights10Islander4WR1Sommaire du match
64332Wranglers3Silver Knights4WSommaire du match
67349Silver Knights4Checkers5LSommaire du match
69359Punishers3Silver Knights1LSommaire du match
71370Silver Knights2Punishers6LSommaire du match
72382Senators4Silver Knights6WSommaire du match
77405Checkers6Silver Knights3LSommaire du match
81420Silver Knights5Rocket7LSommaire du match
83432Phantoms2Silver Knights6WSommaire du match
85442Silver Knights5Canucks3WSommaire du match
87456Silver Knights5Little Stars4WSommaire du match
88463Canucks4Silver Knights5WSommaire du match
91476Silver Knights3Admirals4LSommaire du match
93485Condors3Silver Knights4WXXSommaire du match
95498Silver Knights4Marlies5LXSommaire du match
98512Americans1Silver Knights3WSommaire du match
101534Silver Knights4Penguins1WSommaire du match
102539Eagles4Silver Knights3LSommaire du match
105550Silver Knights2Crunch5LSommaire du match
107563Crunch5Silver Knights3LSommaire du match
109571Silver Knights5Wranglers3WSommaire du match
111581Silver Knights4Penguins7LSommaire du match
113592Marlies3Silver Knights2LSommaire du match
115604Silver Knights2Comets3LSommaire du match
118619Silver Knights5Condors8LSommaire du match
119622Comets6Silver Knights1LSommaire du match
122639Silver Knights5Barracuda8LSommaire du match
123648Eagles2Silver Knights7WSommaire du match
126668Silver Knights4Bears2WSommaire du match
127675Wolfpack4Silver Knights5WXSommaire du match
130689Silver Knights2Comets5LSommaire du match
132699Comets8Silver Knights5LSommaire du match
136723Silver Knights4Bears2WSommaire du match
137726Barracuda5Silver Knights4LSommaire du match
141751Reign4Silver Knights2LSommaire du match
142760Silver Knights1Wolfpack6LSommaire du match
145775Griffins8Silver Knights1LSommaire du match
148796Silver Knights6Moose2WSommaire du match
150804Crunch4Silver Knights3LXSommaire du match
154823Bears1Silver Knights3WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159846Thunderbirds4Silver Knights1LSommaire du match
161856Silver Knights4Senators5LSommaire du match
165872Icehogs4Silver Knights6WSommaire du match
167885Silver Knights4Americans3WSommaire du match
170900Little Stars2Silver Knights3WXSommaire du match
174921Bears5Silver Knights0LSommaire du match
176931Silver Knights4Griffins3WSommaire du match
179949Admirals1Silver Knights4WSommaire du match
181957Silver Knights2Phantoms3LSommaire du match
182967Silver Knights2Thunderbirds3LSommaire du match
184977Silver Knights2Griffins4LSommaire du match
185985Moose4Silver Knights6WSommaire du match
1891002Moose8Silver Knights1LSommaire du match
1901006Silver Knights2Thunderbirds6LSommaire du match
1981033Admirals5Silver Knights2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance74,78537,903
Assistance PCT93.48%94.76%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2817 - 93.91% 177,216$7,088,624$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,325,317$ 1,832,500$ 1,775,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,117$ 1,793,105$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 11,604$ 11,604$




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

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

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

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

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