London Knights

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Stephane Ethier | Morale : 1 | Moyenne d'Équipe : 58
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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 SP
1Jayson MegnaXX100.007672867472636464805763696060616544620
2Filip Zadina (R)XX100.007671898071747861505760645744446551610
3Justin KloosXX100.007064836664808464806361625845456548610
4Jack RodewaldX100.007162926262778165506165646250506761610
5John HaydenXX100.008380857383548060345457652556566369600
6Kristian Vesalainen (R)XX100.007977847577585762506258665544446341600
7Keegan KolesarX100.007782666582798559505162655945456369600
8Sheldon DriesX100.008244817465548457605858722547476557600
9Nicolas Aube-KubelX100.006667646767788360505462595944446266590
10Kieffer Bellows (R)X100.007171706971748052504456605344445852560
11Manuel WiedererXX100.007164876564616356704859615644446056560
12Skyler McKenzie (R)X100.006761826061727754504756585344445827550
13Matt Fonteyne (R)X100.007565986765687351504751614844445826550
14Tyler WotherspoonX100.007976876576778550254341633944445581600
15Ethan ProwX100.007366906266727561255156655351516226600
16Lucas Carlsson (R)X100.007570856070697354254845624344445664580
17Colby WilliamsX100.007069736669656951254639613753535256570
18Hunter WarnerX100.007783646583657145253439623749495132570
19Matthew SpencerX100.008176936776525444253439633744445125550
Rayé
1Buddy RobinsonX100.008588786688818663506258725555556547640
2Andy AndreoffX100.006574447074737666806064656162636430620
3Brian Pinho (R)X100.007464966164677249614646604444445420530
4Caleb HerbertX100.006967726667545746583847604554545220510
5Dylan McIlrathX100.007688496588758347253739633753535163600
MOYENNE D'ÉQUIPE100.00757179677268755648505363484949594758
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 SP
1Philippe Desrosiers (R)100.00596075746062576461603044446034590
Rayé
1Brandon Halverson100.00505468854950505549493044445120530
MOYENNE D'ÉQUIPE100.0055577280555654605555304444562756
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Anders Sorensen37675960473551SWE44160,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Andy AndreoffLondon Knights (MON)C271991-05-17No203 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Brandon HalversonLondon Knights (MON)G221996-03-28No209 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLien
Brian PinhoLondon Knights (MON)C231995-05-10Yes173 Lbs6 ft0NoNoNo1Pro & Farm833,750$0$0$NoLien
Buddy RobinsonLondon Knights (MON)RW261991-09-30No232 Lbs6 ft6NoNoNo1Pro & Farm700,000$0$0$NoLien
Caleb HerbertLondon Knights (MON)C261991-10-12No185 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLien
Colby WilliamsLondon Knights (MON)D231995-01-26No191 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien
Dylan McIlrathLondon Knights (MON)D261992-04-20No236 Lbs6 ft5NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Ethan ProwLondon Knights (MON)D251992-11-17No180 Lbs5 ft11NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien
Filip ZadinaLondon Knights (MON)LW/RW181999-11-27Yes195 Lbs6 ft0NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$Lien
Hunter WarnerLondon Knights (MON)D221995-09-21No221 Lbs6 ft4NoNoNo1Pro & Farm637,000$0$0$NoLien
Jack RodewaldLondon Knights (MON)RW241994-02-14No169 Lbs6 ft0NoNoNo1Pro & Farm725,000$0$0$NoLien
Jayson MegnaLondon Knights (MON)C/RW281990-02-01No195 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
John HaydenLondon Knights (MON)C/LW231995-02-14No223 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien
Justin KloosLondon Knights (MON)C/RW241993-11-30No180 Lbs5 ft9NoNoNo1Pro & Farm792,500$0$0$NoLien
Keegan KolesarLondon Knights (MON)RW211997-04-08No227 Lbs6 ft2NoNoNo1Pro & Farm894,000$0$0$NoLien
Kieffer BellowsLondon Knights (MON)LW201998-06-10Yes196 Lbs6 ft0NoNoNo3Pro & Farm894,166$0$0$No894,166$894,166$Lien
Kristian VesalainenLondon Knights (MON)LW/RW191999-06-01Yes207 Lbs6 ft3NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$Lien
Lucas CarlssonLondon Knights (MON)D201997-07-05Yes190 Lbs6 ft0NoNoNo3Pro & Farm792,500$0$0$No792,500$792,500$Lien
Manuel WiedererLondon Knights (MON)C/RW211996-11-21No170 Lbs6 ft0NoNoNo2Pro & Farm737,000$0$0$No737,000$Lien
Matt FonteyneLondon Knights (MON)LW201997-11-30Yes181 Lbs5 ft10NoNoNo1Pro & Farm575,000$0$0$NoLien
Matthew SpencerLondon Knights (MON)D211997-03-24No206 Lbs6 ft2NoNoNo2Pro & Farm728,333$0$0$No728,333$Lien
Nicolas Aube-KubelLondon Knights (MON)RW221996-05-09No187 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien
Philippe DesrosiersLondon Knights (MON)G221995-08-15Yes195 Lbs6 ft1NoNoNo1Pro & Farm715,000$0$0$NoLien
Sheldon DriesLondon Knights (MON)C241994-04-23No185 Lbs5 ft9NoNoNo1Pro & Farm735,000$0$0$NoLien
Skyler McKenzieLondon Knights (MON)LW201998-01-20Yes170 Lbs5 ft9NoNoNo3Pro & Farm741,666$0$0$No741,666$741,666$Lien
Tyler WotherspoonLondon Knights (MON)D251993-03-11No207 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2622.77197 Lbs6 ft11.54691,381$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Filip ZadinaJayson MegnaJack Rodewald40122
2Kristian VesalainenJustin KloosKeegan Kolesar30122
3Kieffer BellowsJohn HaydenNicolas Aube-Kubel20122
4Matt FonteyneSheldon DriesManuel Wiederer10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan ProwTyler Wotherspoon40122
2Lucas CarlssonColby Williams30122
3Hunter WarnerMatthew Spencer20122
4Ethan ProwTyler Wotherspoon10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Filip ZadinaJayson MegnaJack Rodewald60122
2Kristian VesalainenJustin KloosKeegan Kolesar40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan ProwTyler Wotherspoon60122
2Lucas CarlssonColby Williams40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jayson MegnaJack Rodewald60122
2Justin KloosFilip Zadina40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan ProwTyler Wotherspoon60122
2Lucas CarlssonColby Williams40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jayson Megna60122Ethan ProwTyler Wotherspoon60122
2Jack Rodewald40122Lucas CarlssonColby Williams40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jayson MegnaJack Rodewald60122
2Justin KloosFilip Zadina40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan ProwTyler Wotherspoon60122
2Lucas CarlssonColby Williams40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Filip ZadinaJayson MegnaJack RodewaldEthan ProwTyler Wotherspoon
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Filip ZadinaJayson MegnaJack RodewaldEthan ProwTyler Wotherspoon
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Skyler McKenzie, John Hayden, Sheldon DriesSkyler McKenzie, John HaydenSheldon Dries
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Hunter Warner, Matthew Spencer, Lucas CarlssonHunter WarnerMatthew Spencer, Lucas Carlsson
Tirs de Pénalité
Jayson Megna, Jack Rodewald, Justin Kloos, Filip Zadina, Kristian Vesalainen
Gardien
#1 : Philippe Desrosiers, #2 :


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
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
00000000
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,797,592$ 1,797,592$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
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
201682185505310343494-15141102603110179250-714182902200164244-8036343562905117713412662258608822810213024997343914982429840.50%26711258.05%5835157153.15%761158148.13%801161049.75%147066517588051706869
201782184807612314417-1034162504312151209-5841122303300163208-4536314510824328910011792572789863891363085982166615222106530.95%24411154.51%8782164547.54%774169445.69%685144947.27%155477517558001647822
201882284503321338440-10241181902110186215-2941102601211152225-7356338552890127013113262557696982859292882993230615582157936.74%2699963.20%5782154550.61%779169545.96%723149248.46%154276217408121661809
201982195002272386540-1544192402132185272-8741102600140201268-67383866311017308315713720294986611059535431231054235416802117636.02%27711558.48%12890164854.00%775151851.05%877167552.36%164386317267691599806
Total Saison Régulière328831980171411513811891-5101644394011664701946-2451644010406851680945-2651661381225536368531952251241103362959377235131401211440269765625887831836.22%105743758.66%303289640951.32%3089648847.61%3086622649.57%620930666979318866153307