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Silver Knights
GP: 18 | W: 16 | L: 2 | OTL: 0 | P: 32
GF: 81 | GA: 26 | PP%: 23.91% | PK%: 90.38%
DG: James | Morale : 50 | Moyenne d’équipe : 62
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Centre de jeu
Barracuda
6-12-0, 12pts
1
FINAL
3 Silver Knights
16-2-0, 32pts
Team Stats
L2StreakW5
5-4-0Home Record9-0-0
1-8-0Away Record7-2-0
5-5-0Last 10 Games9-1-0
3.28Buts par match 4.50
4.11Buts contre par match 1.44
22.22%Pourcentage en avantage numérique23.91%
78.18%Pourcentage en désavantage numérique90.38%
Silver Knights
16-2-0, 32pts
4
FINAL
0 Gulls
9-8-1, 19pts
Team Stats
W5StreakL2
9-0-0Home Record4-5-0
7-2-0Away Record5-3-1
9-1-0Last 10 Games5-4-1
4.50Buts par match 3.06
1.44Buts contre par match 3.72
23.91%Pourcentage en avantage numérique8.33%
90.38%Pourcentage en désavantage numérique86.67%
Meneurs d'équipe
Buts
Matthew Coronato
12
Passes
Kevin Korchinski
18
Points
Kevin Korchinski
21
Plus/Moins
Adam Klapka
22
Evan CormierVictoires
Evan Cormier
12
Evan CormierPourcentage d’arrêts
Evan Cormier
0.899

Statistiques d’équipe
Buts pour
81
4.50 GFG
Tirs pour
483
26.83 Avg
Pourcentage en avantage numérique
23.9%
22 GF
Début de zone offensive
43.6%
Buts contre
26
1.44 GAA
Tirs contre
257
14.28 Avg
Pourcentage en désavantage numérique
90.4%%
5 GA
Début de la zone défensive
31.5%
Informations de l'équipe

Directeur généralJames
EntraîneurAndrew Brunette
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 50
Espoirs32


Historique d'équipe

Saison actuelle16-2-0 (32PTS)
Historique48-20-3 (0.676%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
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
1Adam KlapkaXX100.008696636796778163795963706044446750650241832,500$
2Cole GuttmanX100.006362916660637779646268692547476950640252950,000$
3Liam FoudyXX100.0067419481645569652568556925565664506302411,000,000$
4Matthew Coronato (R)X100.0059409377656374773464596825474765506302131,491,667$
5Jiri Kulich (R)XX100.007164867364737565805769636644446850630203886,667$
6Isak Rosen (R)X100.0069589366588085645061636260444466506202131,419,167$
7Graeme Clarke (R)XX100.007063866763808464805965626244446650620232925,000$
8Adam BeckmanX100.007743706863547765256455652546466250600232894,167$
9Calen AddisonX100.006942728163728480255647692560616250670241910,833$
10Jamie DrysdaleX100.0071429184677847792555506725606063506602232,300,000$
11Pierre-Olivier JosephX100.007343917470668263255248742560606250660251850,000$
12Kevin Korchinski (R)X100.0061419184707875752550496625545462506502031,918,333$
13Jordan SpenceX100.007342948062648373256448642556576350650231919,167$
14Nils LundkvistX100.0069429177676477672563486125595961506402411,775,000$
15Brandt Clarke (R)X100.0063418278706269722559546525454563506302111,713,333$
16Samuel BolducX100.007845936578617363254848712549506050630232800,000$
17Tyler TuckerX100.009099576579596663254348732549495950630241808,333$
Rayé
1Brayden Tracey (R)X100.007369836169707458505656625344446050590232863,333$
2Shane BowersX100.007162936662666954684559605644445950570251750,000$
3Luke HenmanX100.006962846662687254684756595344445850570242791,667$
4Dawson BarteauxX100.007465966765596152254545614344445550570243783,333$
5Ryan O'Rourke (R)X100.006865756565778546253640573844445150570222894,167$
MOYENNE D’ÉQUIPE100.00715685726768756641555465374949625062
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
1Evan Cormier100.00594759816466586468663044446150610263775,000$
2Matt Villalta100.00564658656059566260593044445750570251900,000$
3Ken Appleby100.00515164845153525753533044445350550291750,000$
Rayé
MOYENNE D’ÉQUIPE100.0055486077585955616059304444575058
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andrew Brunette65707566716678CAN4821,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur 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
1Kevin KorchinskiSilver Knights (VGK)D183182191201212319249.68%835219.5829112467000241100.00%000001.1900000011
2Matthew CoronatoSilver Knights (VGK)RW1812921162022152173423.08%437720.9732511720000223135.90%3900001.1100000222
3Adam KlapkaSilver Knights (VGK)C/RW189112022361071294552220.00%241222.9415612710000383170.24%41000000.9700110321
4Liam FoudySilver Knights (VGK)C/LW187121913007203593320.00%136020.023367710000241050.00%2400001.0500000101
5Calen AddisonSilver Knights (VGK)D18613191014027163951615.38%739021.714483182000040100.00%000000.9700000131
6Jamie DrysdaleSilver Knights (VGK)D181161798018132711153.70%1039722.071671683000045000.00%000000.8600000000
7Cole GuttmanSilver Knights (VGK)C188917118073348103816.67%038421.3733610660000430067.79%29800000.8800000212
8Isak RosenSilver Knights (VGK)RW18871510603054182319.51%135019.49123974000003040.91%2200010.8500000211
9Graeme ClarkeSilver Knights (VGK)C/RW18105151395112349113020.41%132818.250002190001101066.81%23200000.9100010103
10Jiri KulichSilver Knights (VGK)C/LW183111412242026173717278.11%038021.1123513700000330070.59%5100000.7400202020
11Brandt ClarkeSilver Knights (VGK)D18491312202202081220.00%628515.8400000000000028.57%700000.9100000001
12Jordan SpenceSilver Knights (VGK)D182101212100221260233.33%423212.9100000000015000.00%000001.0300000001
13Pierre-Olivier JosephSilver Knights (VGK)D18381110402617139923.08%635419.672461166000041100.00%000000.6200000100
14Adam BeckmanSilver Knights (VGK)LW1845996028153291712.50%129516.43000180000151060.00%1500000.6100000111
15Nils LundkvistSilver Knights (VGK)D18066112013102230.00%124513.6500003000060020.00%500000.4900000000
16Tyler TuckerSilver Knights (VGK)D1813464020641225.00%31086.050000000000100.00%000000.7400000100
17Samuel BolducSilver Knights (VGK)D18000120422010.00%0422.34000040000500100.00%100000.00%00000000
Statistiques d’équipe totales ou en moyenne306811522331861493532627148313130816.77%55529917.32224163147762000338816266.03%110400010.8800322151315
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
1Evan CormierSilver Knights (VGK)1412200.8991.5084303212080100.00%0140010
2Matt VillaltaSilver Knights (VGK)44000.8981.25240015490200.00%0418000
Statistiques d’équipe totales ou en moyenne1816200.8991.441083042625703001818010


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)LW232001-05-10No167 Lbs6 ft1NoNoNo2Pro & Farm894,167$894,167$0$0$No894,167$Lien
Adam KlapkaSilver Knights (VGK)C/RW242000-09-14No244 Lbs6 ft8NoNoNo1Pro & Farm832,500$832,500$0$0$NoLien
Brandt ClarkeSilver Knights (VGK)D212003-02-09Yes185 Lbs6 ft2NoNoNo1Pro & Farm1,713,333$1,713,333$0$0$NoLien
Brayden TraceySilver Knights (VGK)LW232001-05-28Yes186 Lbs6 ft1NoNoNo2Pro & Farm863,333$863,333$0$0$No863,333$Lien
Calen AddisonSilver Knights (VGK)D242000-04-10No178 Lbs5 ft10NoNoNo1Pro & Farm910,833$910,833$0$0$NoLien
Cole GuttmanSilver Knights (VGK)C251999-06-04No163 Lbs5 ft10NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien
Dawson BarteauxSilver Knights (VGK)D242000-01-12No170 Lbs6 ft1NoNoNo3Pro & Farm783,333$783,333$0$0$No783,333$783,333$Lien
Evan CormierSilver Knights (VGK)G261997-11-06No202 Lbs6 ft3NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien / Lien NHL
Graeme ClarkeSilver Knights (VGK)C/RW232001-04-24Yes174 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Isak RosenSilver Knights (VGK)RW212003-03-15Yes156 Lbs5 ft11NoNoNo3Pro & Farm1,419,167$1,419,167$0$0$No1,419,167$1,419,167$Lien
Jamie DrysdaleSilver Knights (VGK)D222002-04-08No187 Lbs5 ft11NoNoNo3Pro & Farm2,300,000$2,300,000$0$0$No2,300,000$2,300,000$Lien
Jiri KulichSilver Knights (VGK)C/LW202004-04-14Yes178 Lbs5 ft11NoNoNo3Pro & Farm886,667$886,667$0$0$No886,667$886,667$Lien
Jordan SpenceSilver Knights (VGK)D232001-02-24No174 Lbs5 ft10NoNoNo1Pro & Farm919,167$919,167$0$0$NoLien
Ken ApplebySilver Knights (VGK)G291995-04-10No205 Lbs6 ft4NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Kevin KorchinskiSilver Knights (VGK)D202004-06-21Yes185 Lbs6 ft2NoNoNo3Pro & Farm1,918,333$1,918,333$0$0$No1,918,333$1,918,333$Lien
Liam FoudySilver Knights (VGK)C/LW242000-02-04No174 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Luke HenmanSilver Knights (VGK)C242000-04-29No168 Lbs6 ft0NoNoNo2Pro & Farm791,667$791,667$0$0$No791,667$Lien
Matt VillaltaSilver Knights (VGK)G251999-03-06No169 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Matthew CoronatoSilver Knights (VGK)RW212002-11-14Yes183 Lbs5 ft10NoNoNo3Pro & Farm1,491,667$1,491,667$0$0$No1,491,667$1,491,667$Lien
Nils LundkvistSilver Knights (VGK)D242000-07-27No187 Lbs5 ft11NoNoNo1Pro & Farm1,775,000$1,775,000$0$0$NoLien
Pierre-Olivier JosephSilver Knights (VGK)D251999-07-01No185 Lbs6 ft2NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien / Lien NHL
Ryan O'RourkeSilver Knights (VGK)D222002-05-16Yes178 Lbs6 ft0NoNoNo2Pro & Farm894,167$894,167$0$0$No894,167$Lien
Samuel BolducSilver Knights (VGK)D232000-12-09No209 Lbs6 ft4NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
Shane BowersSilver Knights (VGK)C251999-07-30No169 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Tyler TuckerSilver Knights (VGK)D242000-03-01No205 Lbs6 ft1NoNoNo1Pro & Farm808,333$808,333$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2523.40183 Lbs6 ft11.841,076,067$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam FoudyAdam KlapkaMatthew Coronato40122
2Jiri KulichCole GuttmanIsak Rosen30122
3Adam BeckmanGraeme ClarkeBrandt Clarke20122
4Cole GuttmanAdam KlapkaMatthew Coronato10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonJamie Drysdale40122
2Pierre-Olivier JosephKevin Korchinski30122
3Jordan SpenceNils Lundkvist20122
4Brandt ClarkeTyler Tucker10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam FoudyAdam KlapkaMatthew Coronato60122
2Jiri KulichCole GuttmanIsak Rosen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonJamie Drysdale60122
2Pierre-Olivier JosephKevin Korchinski40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam KlapkaCole Guttman60122
2Matthew CoronatoLiam Foudy40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonJamie Drysdale60122
2Pierre-Olivier JosephKevin Korchinski40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Klapka60122Calen AddisonJamie Drysdale60122
2Cole Guttman40122Pierre-Olivier JosephKevin Korchinski40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adam KlapkaCole Guttman60122
2Matthew CoronatoLiam Foudy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonJamie Drysdale60122
2Pierre-Olivier JosephKevin Korchinski40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam FoudyAdam KlapkaMatthew CoronatoCalen AddisonJamie Drysdale
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam FoudyAdam KlapkaMatthew CoronatoCalen AddisonJamie Drysdale
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Graeme Clarke, Adam Beckman, Jiri KulichGraeme Clarke, Adam BeckmanJiri Kulich
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Bolduc, Jordan Spence, Nils LundkvistSamuel BolducJordan Spence, Nils Lundkvist
Tirs de pénalité
Adam Klapka, Cole Guttman, Matthew Coronato, Liam Foudy, Jiri Kulich
Gardien
#1 : , #2 : Matt Villalta
Lignes d’attaque personnalisées en prolongation
Adam Klapka, Cole Guttman, Matthew Coronato, Liam Foudy, Jiri Kulich, Isak Rosen, Isak Rosen, Graeme Clarke, Adam Beckman, ,
Lignes de défense personnalisées en prolongation
Calen Addison, Jamie Drysdale, Pierre-Olivier Joseph, Kevin Korchinski, Jordan Spence


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
1Admirals11000000707000000000001100000070721.000712190125312323916615715821416214250.00%30100.00%032948068.54%20834759.94%19227470.07%60646827794200122
2Barracuda21100000330110000003121010000002-220.50035800253123240166157158220724241100.00%11190.91%032948068.54%20834759.94%19227470.07%60646827794200122
3Condors21001000633100010002111100000042241.00061016002531232421661571582274232417529.41%70100.00%032948068.54%20834759.94%19227470.07%60646827794200122
4Eagles21100000761110000005231010000024-220.500711180025312323516615715824416224212216.67%6183.33%032948068.54%20834759.94%19227470.07%60646827794200122
5Firebirds11000000514110000005140000000000021.00051015002531232401661571582410153133.33%000.00%032948068.54%20834759.94%19227470.07%60646827794200122
6Gulls21001000725100010003211100000040441.000714210125312327516615715823126385240.00%30100.00%032948068.54%20834759.94%19227470.07%60646827794200122
7Reign22000000523110000003121100000021141.00051015002531232531661571582295174119315.79%60100.00%032948068.54%20834759.94%19227470.07%60646827794200122
8Roadrunners2200000014113110000005051100000091841.00014274101253123260166157158221610407228.57%40100.00%032948068.54%20834759.94%19227470.07%60646827794200122
9Stars2200000016214110000009271100000070741.00016314701253123258166157158232520458337.50%50100.00%032948068.54%20834759.94%19227470.07%60646827794200122
10Wranglers220000001165110000009541100000021141.00011223300253123241166157158235821366233.33%7357.14%032948068.54%20834759.94%19227470.07%60646827794200122
Total18142020008126559700200044152997200000371126320.88981152233042531232483166157158225755149326922223.91%52590.38%032948068.54%20834759.94%19227470.07%60646827794200122
_Since Last GM Reset18142020008126559700200044152997200000371126320.88981152233042531232483166157158225755149326922223.91%52590.38%032948068.54%20834759.94%19227470.07%60646827794200122
_Vs Conference18142020008126559700200044152997200000371126320.88981152233042531232483166157158225755149326922223.91%52590.38%032948068.54%20834759.94%19227470.07%60646827794200122
_Vs Division74000000449353200000019415420000002552080.57144811250325312321921661571582111285814831929.03%18194.44%032948068.54%20834759.94%19227470.07%60646827794200122

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1832W5811522334832575514932604
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1814220008126
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
97020004415
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
97200003711
Derniers 10 matchs
WLOTWOTL SOWSOL
811000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
922223.91%52590.38%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
16615715822531232
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
32948068.54%20834759.94%19227470.07%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
60646827794200122


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
1 - 2024-09-2313Wranglers5Silver Knights9BWSommaire du match
2 - 2024-09-2425Silver Knights7Admirals0AWSommaire du match
4 - 2024-09-2639Silver Knights2Eagles4ALSommaire du match
5 - 2024-09-2757Roadrunners0Silver Knights5BWSommaire du match
7 - 2024-09-2973Condors1Silver Knights2BWXSommaire du match
8 - 2024-09-3092Silver Knights7Stars0AWSommaire du match
9 - 2024-10-01106Silver Knights4Condors2AWSommaire du match
11 - 2024-10-03121Reign1Silver Knights3BWSommaire du match
12 - 2024-10-04140Gulls2Silver Knights3BWXSommaire du match
13 - 2024-10-05160Firebirds1Silver Knights5BWSommaire du match
14 - 2024-10-06171Silver Knights9Roadrunners1AWSommaire du match
15 - 2024-10-07183Silver Knights2Reign1AWSommaire du match
16 - 2024-10-08196Silver Knights0Barracuda2ALSommaire du match
17 - 2024-10-09210Silver Knights2Wranglers1AWSommaire du match
19 - 2024-10-11224Eagles2Silver Knights5BWSommaire du match
20 - 2024-10-12243Stars2Silver Knights9BWSommaire du match
23 - 2024-10-15268Barracuda1Silver Knights3BWSommaire du match
24 - 2024-10-16274Silver Knights4Gulls0AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets400
Assistance00
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,690,167$ 2,690,167$ 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$ 1 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
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

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

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