London Knights

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Stephane Ethier | Morale : 1 | Team Overall : 58
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
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
# Player Name 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
Scratches
1Buddy RobinsonX100.008588786688818663506258725555556547640
2Andy AndreoffX100.006574447074737666806064656162636430620
3Brian Pinho (R)X100.007464966164677249614646604444445420530
4Caleb HerbertX100.006967726667545746583847604554545220510
5Dylan McIlrathX100.007688496588758347253739633753535163600
TEAM AVERAGE100.00757179677268755648505363484949594758
Filter Tips
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Philippe Desrosiers (R)100.00596075746062576461603044446034590
Scratches
1Brandon Halverson100.00505468854950505549493044445120530
TEAM AVERAGE100.0055577280555654605555304444562756
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Anders Sorensen37675960473551SWE44160,000$


Filter Tips
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
# Player Name Team NamePOSGP 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
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Andy AndreoffLondon Knights (MON)C271991-05-17No203 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Link
Brandon HalversonLondon Knights (MON)G221996-03-28No209 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLink
Brian PinhoLondon Knights (MON)C231995-05-10Yes173 Lbs6 ft0NoNoNo1Pro & Farm833,750$0$0$NoLink
Buddy RobinsonLondon Knights (MON)RW261991-09-30No232 Lbs6 ft6NoNoNo1Pro & Farm700,000$0$0$NoLink
Caleb HerbertLondon Knights (MON)C261991-10-12No185 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLink
Colby WilliamsLondon Knights (MON)D231995-01-26No191 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLink
Dylan McIlrathLondon Knights (MON)D261992-04-20No236 Lbs6 ft5NoNoNo2Pro & Farm700,000$0$0$No700,000$Link
Ethan ProwLondon Knights (MON)D251992-11-17No180 Lbs5 ft11NoNoNo2Pro & Farm725,000$0$0$No725,000$Link
Filip ZadinaLondon Knights (MON)LW/RW181999-11-27Yes195 Lbs6 ft0NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$Link
Hunter WarnerLondon Knights (MON)D221995-09-21No221 Lbs6 ft4NoNoNo1Pro & Farm637,000$0$0$NoLink
Jack RodewaldLondon Knights (MON)RW241994-02-14No169 Lbs6 ft0NoNoNo1Pro & Farm725,000$0$0$NoLink
Jayson MegnaLondon Knights (MON)C/RW281990-02-01No195 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLink
John HaydenLondon Knights (MON)C/LW231995-02-14No223 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLink
Justin KloosLondon Knights (MON)C/RW241993-11-30No180 Lbs5 ft9NoNoNo1Pro & Farm792,500$0$0$NoLink
Keegan KolesarLondon Knights (MON)RW211997-04-08No227 Lbs6 ft2NoNoNo1Pro & Farm894,000$0$0$NoLink
Kieffer BellowsLondon Knights (MON)LW201998-06-10Yes196 Lbs6 ft0NoNoNo3Pro & Farm894,166$0$0$No894,166$894,166$Link
Kristian VesalainenLondon Knights (MON)LW/RW191999-06-01Yes207 Lbs6 ft3NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$Link
Lucas CarlssonLondon Knights (MON)D201997-07-05Yes190 Lbs6 ft0NoNoNo3Pro & Farm792,500$0$0$No792,500$792,500$Link
Manuel WiedererLondon Knights (MON)C/RW211996-11-21No170 Lbs6 ft0NoNoNo2Pro & Farm737,000$0$0$No737,000$Link
Matt FonteyneLondon Knights (MON)LW201997-11-30Yes181 Lbs5 ft10NoNoNo1Pro & Farm575,000$0$0$NoLink
Matthew SpencerLondon Knights (MON)D211997-03-24No206 Lbs6 ft2NoNoNo2Pro & Farm728,333$0$0$No728,333$Link
Nicolas Aube-KubelLondon Knights (MON)RW221996-05-09No187 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLink
Philippe DesrosiersLondon Knights (MON)G221995-08-15Yes195 Lbs6 ft1NoNoNo1Pro & Farm715,000$0$0$NoLink
Sheldon DriesLondon Knights (MON)C241994-04-23No185 Lbs5 ft9NoNoNo1Pro & Farm735,000$0$0$NoLink
Skyler McKenzieLondon Knights (MON)LW201998-01-20Yes170 Lbs5 ft9NoNoNo3Pro & Farm741,666$0$0$No741,666$741,666$Link
Tyler WotherspoonLondon Knights (MON)D251993-03-11No207 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2622.77197 Lbs6 ft11.54691,381$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ZadinaJayson MegnaJack Rodewald40122
2Kristian VesalainenJustin KloosKeegan Kolesar30122
3Kieffer BellowsJohn HaydenNicolas Aube-Kubel20122
4Matt FonteyneSheldon DriesManuel Wiederer10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan ProwTyler Wotherspoon40122
2Lucas CarlssonColby Williams30122
3Hunter WarnerMatthew Spencer20122
4Ethan ProwTyler Wotherspoon10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ZadinaJayson MegnaJack Rodewald60122
2Kristian VesalainenJustin KloosKeegan Kolesar40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan ProwTyler Wotherspoon60122
2Lucas CarlssonColby Williams40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jayson MegnaJack Rodewald60122
2Justin KloosFilip Zadina40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan ProwTyler Wotherspoon60122
2Lucas CarlssonColby Williams40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jayson Megna60122Ethan ProwTyler Wotherspoon60122
2Jack Rodewald40122Lucas CarlssonColby Williams40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jayson MegnaJack Rodewald60122
2Justin KloosFilip Zadina40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan ProwTyler Wotherspoon60122
2Lucas CarlssonColby Williams40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Filip ZadinaJayson MegnaJack RodewaldEthan ProwTyler Wotherspoon
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Filip ZadinaJayson MegnaJack RodewaldEthan ProwTyler Wotherspoon
Extra Forwards
Normal PowerPlayPenalty Kill
Skyler McKenzie, John Hayden, Sheldon DriesSkyler McKenzie, John HaydenSheldon Dries
Extra Defensemen
Normal PowerPlayPenalty Kill
Hunter Warner, Matthew Spencer, Lucas CarlssonHunter WarnerMatthew Spencer, Lucas Carlsson
Penalty Shots
Jayson Megna, Jack Rodewald, Justin Kloos, Filip Zadina, Kristian Vesalainen
Goalie
#1 : Philippe Desrosiers, #2 :


Filter Tips
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
OverallHomeVisitor
# VS Team 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 For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,797,592$ 1,797,592$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




OverallHomeVisitor
Year 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
Regular Season
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 Regular Season328831980171411513811891-5101644394011664701946-2451644010406851680945-2651661381225536368531952251241103362959377235131401211440269765625887831836.22%105743758.66%303289640951.32%3089648847.61%3086622649.57%620930666979318866153307