London Knights

GP: 14 | W: 11 | L: 3 | OTL: 0 | P: 22
GF: 107 | GA: 72 | PP%: 35.29% | PK%: 71.79%
DG: Stephane Ethier | Morale : 72 | 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
1Andy AndreoffX100.006574447074737666806064656162636460630
2Jayson MegnaXX99.007672867472636464805763696060616563620
3Filip Zadina (R)XX100.007671898071747861505760645744446561610
4Justin KloosXX100.007064836664808464806361625845456567610
5Jack RodewaldX100.007162926262778165506165646250506762610
6John HaydenXX100.008380857383548060345457652556566361600
7Kristian Vesalainen (R)XX100.007977847577585762506258665544446365600
8Keegan KolesarX100.007782666582798559505162655945456363600
9Sheldon DriesX100.008244817465548457605858722547476559600
10Nicolas Aube-KubelX100.006667646767788360505462595944446268590
11Kieffer Bellows (R)X100.007171706971748052504456605344445866560
12Manuel WiedererXX100.007164876564616356704859615644446068560
13Tyler WotherspoonX99.007976876576778550254341633944445556600
14Ethan ProwX100.007366906266727561255156655351516256600
15Dylan McIlrathX100.007688496588758347253739633753535157600
16Lucas Carlsson (R)X100.007570856070697354254845624344445666580
17Hunter WarnerX100.007783646583657145253439623749495171580
18Colby WilliamsX100.007069736669656951254639613753535261570
19Matthew SpencerX100.008176936776525444253439633744445144550
Rayé
1Skyler McKenzie (R)X100.006761826061727754504756585344445832550
2Matt Fonteyne (R)X100.007565986765687351504751614844445840550
3Brian Pinho (R)X100.007464966164677249614646604444445435530
4Caleb HerbertX100.006967726667545746583847604554545237520
MOYENNE D'ÉQUIPE99.91747079677168745648505363484848595758
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)98.00596075746062576461603044446059600
Rayé
1Brandon Halverson100.00505468854950505549493044445136530
MOYENNE D'ÉQUIPE99.0055577280555654605555304444564857
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
1Jayson MegnaLondon Knights (MON)C/RW12211738201715121787243924.14%427322.764486244045282166.67%212110042.7800210430
2Filip ZadinaLondon Knights (MON)LW/RW129192819171519865284613.85%625120.992468270001101055.56%18136002.2200012130
3Andy AndreoffLondon Knights (MON)C8137205542013123391539.39%314618.301233120000100166.67%18699022.7300121110
4Kristian VesalainenLondon Knights (MON)LW/RW12812208121024647142717.02%818115.14112213000011033.33%997012.2000002102
5Justin KloosLondon Knights (MON)C/RW149101911410121643163420.93%722115.83101215000081164.88%1681216001.7200011001
6John HaydenLondon Knights (MON)C/LW1451116155121739163512.82%019614.03101230000121056.00%50118001.6300001001
7Tyler WotherspoonLondon Knights (MON)D12113141632301717287113.57%2432326.96112225011029000.00%0420000.8700231000
8Jack RodewaldLondon Knights (MON)RW12410144006828131814.29%318015.05011111000030050.00%10106001.5500000011
9Keegan KolesarLondon Knights (MON)RW14751212751452761525.93%41399.9900003000041241.18%1745001.7200100012
10Manuel WiedererLondon Knights (MON)C/RW125510500110163431.25%2937.7800000000001055.17%2932002.1400000000
11Sheldon DriesLondon Knights (MON)C12461044018834131111.76%1215012.5500002000050057.85%12177001.3300000001
12Lucas CarlssonLondon Knights (MON)D1218913758986612.50%1421818.25101116000113000.00%017000.8200100000
13Nicolas Aube-KubelLondon Knights (MON)RW1243745563148428.57%3685.70000000000020100.00%272002.0500100002
14Kieffer BellowsLondon Knights (MON)LW1225762010680725.00%3937.830000000000000.00%132001.4900000100
15Ethan ProwLondon Knights (MON)D6066800745130.00%312420.7000008000111000.00%006000.9700000000
16Dylan McIlrathLondon Knights (MON)D1015686630251919515.26%1624624.64011219011016000.00%0215000.4900222000
17Frederik GauthierMaroonsC31562002101031010.00%46622.26011060332110075.45%11013001.8000000010
18Colby WilliamsLondon Knights (MON)D12145922105734533.33%515913.250000100004100.00%006000.6300002000
19Rasmus SandinMaroonsD4033255324150.00%118020.100000500008000.00%016000.7500100000
20Hunter WarnerLondon Knights (MON)D121127202013682912.50%1117314.4300002000015000.00%006000.2300112000
21Matthew SpencerLondon Knights (MON)D2000000001000.00%0115.930000000001000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne2199715525215428918523718052717930518.41%143340115.53121527292014591019611563.48%742118149071.480012111481010
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
1Philippe DesrosiersLondon Knights (MON)1111000.8954.096610045428247000.0000110100
Stats d'équipe Total ou en Moyenne1111000.8954.096610045428247000.0000110100


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Andy AndreoffLondon Knights (MON)C271991-05-17No203 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Brandon HalversonLondon Knights (MON)G221996-03-28No209 Lbs6 ft4NoNoNo0Contrat d'EntréePro & Farm0$0$NoLien
Brian PinhoLondon Knights (MON)C231995-05-10Yes173 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm833,750$0$0$NoLien
Caleb HerbertLondon Knights (MON)C261991-10-12No185 Lbs5 ft11NoNoNo0Avec RestrictionPro & Farm0$0$NoLien
Colby WilliamsLondon Knights (MON)D231995-01-26No191 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm700,000$0$0$NoLien
Dylan McIlrathLondon Knights (MON)D261992-04-20No236 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Ethan ProwLondon Knights (MON)D251992-11-17No180 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm725,000$0$0$NoLien
Filip ZadinaLondon Knights (MON)LW/RW181999-11-27Yes195 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm875,000$0$0$NoLien
Hunter WarnerLondon Knights (MON)D221995-09-21No221 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm637,000$0$0$NoLien
Jack RodewaldLondon Knights (MON)RW241994-02-14No169 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm725,000$0$0$NoLien
Jayson MegnaLondon Knights (MON)C/RW281990-02-01No195 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
John HaydenLondon Knights (MON)C/LW231995-02-14No223 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Justin KloosLondon Knights (MON)C/RW241993-11-30No180 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm792,500$0$0$NoLien
Keegan KolesarLondon Knights (MON)RW211997-04-08No227 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm894,000$0$0$NoLien
Kieffer BellowsLondon Knights (MON)LW201998-06-10Yes196 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm894,166$0$0$NoLien
Kristian VesalainenLondon Knights (MON)LW/RW191999-06-01Yes207 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm875,000$0$0$NoLien
Lucas CarlssonLondon Knights (MON)D201997-07-05Yes190 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm792,500$0$0$NoLien
Manuel WiedererLondon Knights (MON)C/RW211996-11-21No170 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm737,000$0$0$NoLien
Matt FonteyneLondon Knights (MON)LW201997-11-30Yes181 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm575,000$0$0$NoLien
Matthew SpencerLondon Knights (MON)D211997-03-24No206 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm728,333$0$0$NoLien
Nicolas Aube-KubelLondon Knights (MON)RW221996-05-09No187 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm700,000$0$0$NoLien
Philippe DesrosiersLondon Knights (MON)G221995-08-15Yes195 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm715,000$0$0$NoLien
Sheldon DriesLondon Knights (MON)C241994-04-23No185 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm735,000$0$0$NoLien
Skyler McKenzieLondon Knights (MON)LW201998-01-20Yes170 Lbs5 ft9NoNoNo3Contrat d'EntréePro & Farm741,666$0$0$NoLien
Tyler WotherspoonLondon Knights (MON)D251993-03-11No207 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2522.64195 Lbs6 ft11.56691,037$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Filip ZadinaAndy AndreoffJayson Megna40122
2John HaydenJustin KloosJack Rodewald30122
3Kristian VesalainenSheldon DriesKeegan Kolesar20122
4Kieffer BellowsManuel WiedererNicolas Aube-Kubel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyler WotherspoonDylan McIlrath40122
2Ethan ProwHunter Warner30122
3Lucas CarlssonColby Williams20122
4Matthew SpencerTyler Wotherspoon10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Filip ZadinaAndy AndreoffJayson Megna60122
2John HaydenJustin KloosJack Rodewald40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyler WotherspoonDylan McIlrath60122
2Ethan ProwHunter Warner40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Andy AndreoffJayson Megna60122
2Jack RodewaldFilip Zadina40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyler WotherspoonDylan McIlrath60122
2Ethan ProwHunter Warner40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Andy Andreoff60122Tyler WotherspoonDylan McIlrath60122
2Jayson Megna40122Ethan ProwHunter Warner40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Andy AndreoffJayson Megna60122
2Jack RodewaldFilip Zadina40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyler WotherspoonDylan McIlrath60122
2Ethan ProwHunter Warner40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Filip ZadinaAndy AndreoffJayson MegnaTyler WotherspoonDylan McIlrath
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Filip ZadinaAndy AndreoffJayson MegnaTyler WotherspoonDylan McIlrath
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Keegan Kolesar, Kristian Vesalainen, Sheldon DriesKeegan Kolesar, Kristian VesalainenSheldon Dries
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lucas Carlsson, Colby Williams, Matthew SpencerLucas CarlssonColby Williams, Matthew Spencer
Tirs de Pénalité
Andy Andreoff, Jayson Megna, Jack Rodewald, Filip Zadina, Justin Kloos
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
1Calgary Hitman430010002217521001000853220000001412281.00022396100234439117218820718121465039938337.50%12375.00%216027358.61%18129561.36%18031856.60%312186284113244128
2Lake Erie Monsters32100000352015211000002317611000000123940.667355994002344391144188207181214544694611654.55%2150.00%016027358.61%18129561.36%18031856.60%312186284113244128
3Las Vegas Wranglers321000002117411000000862211000001311240.6672133540023443911021882071812118425245800.00%11372.73%216027358.61%18129561.36%18031856.60%312186284113244128
4Sherbrooke Phoenix3210000019163211000001314-11100000062440.66719345310234439112618820718121013878565240.00%9366.67%016027358.61%18129561.36%18031856.60%312186284113244128
Total141030100010772357420100052421076100000553025220.7861071792861023443915781882071812539182303258341235.29%391171.79%416027358.61%18129561.36%18031856.60%312186284113244128
6Victoriaville Tigres1100000010280000000000011000000102821.00010142400234439134188207181229865182150.00%5180.00%016027358.61%18129561.36%18031856.60%312186284113244128
_Since Last GM Reset141030100010772357420100052421076100000553025220.7861071792861023443915781882071812539182303258341235.29%391171.79%416027358.61%18129561.36%18031856.60%312186284113244128
_Vs Conference141030100010772357420100052421076100000553025220.7861071792861023443915781882071812539182303258341235.29%391171.79%416027358.61%18129561.36%18031856.60%312186284113244128
_Vs Division3930100021174142010008622510000013112203.3332133540023443911021882071812118425245800.00%11372.73%216027358.61%18129561.36%18031856.60%312186284113244128

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1422W810717928657853918230325810
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
14103100010772
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
74210005242
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
76100005530
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
341235.29%391171.79%4
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
18820718122344391
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
16027358.61%18129561.36%18031856.60%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
312186284113244128


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
1 - 2019-09-2211London Knights5Las Vegas Wranglers9LSommaire du Match
2 - 2019-09-2320Sherbrooke Phoenix7London Knights5LSommaire du Match
3 - 2019-09-2436London Knights8Las Vegas Wranglers2WSommaire du Match
4 - 2019-09-2539London Knights6Calgary Hitman5WSommaire du Match
5 - 2019-09-2657Calgary Hitman3London Knights4WXSommaire du Match
7 - 2019-09-2881Lake Erie Monsters11London Knights9LSommaire du Match
9 - 2019-09-30105Las Vegas Wranglers6London Knights8WSommaire du Match
10 - 2019-10-01114London Knights10Victoriaville Tigres2WSommaire du Match
11 - 2019-10-02133London Knights8Calgary Hitman7WSommaire du Match
12 - 2019-10-03140Calgary Hitman2London Knights4WSommaire du Match
15 - 2019-10-06157Lake Erie Monsters6London Knights14WSommaire du Match
16 - 2019-10-07170London Knights12Lake Erie Monsters3WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
17 - 2019-10-08181London Knights6Sherbrooke Phoenix2WSommaire du Match
21 - 2019-10-12210Sherbrooke Phoenix7London Knights8WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,727,592$ 1,727,592$ 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$ 1 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