WEB CLIENT LEAGUE FILES


London Knights


GP: 54 | W: 24 | L: 28 | OTL: 2 | P: 50
GF: 141 | GA: 168 | PP%: 18.97% | PK%: 80.47%
GM : Rob Willis | Team Overall : 68
Next Games vs Oakland Seals
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
1Patrice Cormier (C)XX100.00755493708280827178706674677882050690
2Austin Watson (R)XXX100.00723690728082837071706775607064050680
3Mark McNeill (R)XX100.00775778738081817175686672686671050680
4Jared BollX100.00827876707880826772656370688280050680
5Noel Acciari (R)XX100.00803386737480817075676573576265050670
6Juho Lammikko (R)XXX100.00713582747881837074686374656260050670
7Nicholas Merkley (R)XX100.00743278777373687373676572685656050660
8Carter Verhaeghe (R)X100.00673084747078786875666570675252050650
9Sean Malone (R)X100.00733084737375756573626270625760050640
10Jordan SzwarzX100.00724691707574736562636369596054050640
11Taylor Chorney (A)X100.00733584757584836530635574439184050700
12Nelson Nogier (R)X100.00734378747484796430635572375560050670
13Patrick Sieloff (R)X100.00776067727579706630636070516058050660
14Greg Pateryn (R)X100.00734884707478806430635969557068050660
15Jacob MacDonald (R)X100.00684386767676757030676466605755050660
16Sean Walker (R)X100.00733072777475736730645971495760050660
17Kevin Tansey (R)X100.00786274707974705630534770374953050630
Scratches
1Mario KempeXXX96.00753088777380807062686774676662050680
2Nathan Gerbe (A)XX75.75683990725777727367727070698280050670
3Michael Carcone (R)X100.00743383767075756562636268615050050630
4Mathias Bau (R)XX100.00763088708674716667596268625353050630
TEAM AVERAGE98.6574428373757877675765627159646305066
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
1Oscar Dansk (R)99.0084777883858182838478806262050780
2Garret Sparks (R)100.0080748079797979787977815051050740
Scratches
1Charlie Lindgren (R)100.0080747582807676787775785353050730
2Daniel Altshuller (R)100.0081687481827476777878834848050730
TEAM AVERAGE99.758173778182787879807781535405075
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Adam Oates71747777658785CAN562700,000$


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 NamePOS GP 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
1Noel AcciariLondon Knights (WSH)C/RW54172441-3140106133145369611.72%799818.4923515880000303251.28%121300000.8200000522
2Nathan GerbeLondon Knights (WSH)LW/RW53161834-5605479162391219.88%7107020.2025717890004233139.26%13500000.6405000350
3Nicholas MerkleyLondon Knights (WSH)C/RW54201434-13200991151733712711.56%6104919.436282184000031052.34%12800100.6517000434
4Taylor ChorneyLondon Knights (WSH)D5462632-142401086848213412.50%79129523.9926817940110124120.00%000000.4900000232
5Mario KempeLondon Knights (WSH)C/LW/RW5481927-1912080111172361394.65%5112820.9115624970001394048.50%16700000.4827000214
6Patrice CormierLondon Knights (WSH)C/LW5462026-1623569125124381084.84%15111220.61167178700061220153.04%125000000.4712001001
7Sean WalkerLondon Knights (WSH)D5491524-1300117455293217.31%4998218.203362366000056000.00%000000.4900000201
8Nelson NogierLondon Knights (WSH)D5461723-1400112513872315.79%80106619.7512312570001107000.00%000000.4300000102
9Jared BollLondon Knights (WSH)RW54713202340111658935597.87%686816.070112200000651156.96%7900000.4611000001
10Austin WatsonLondon Knights (WSH)C/LW/RW317111814033577617629.21%351716.702139521011340051.32%7600000.7000000001
11Jacob MacDonaldLondon Knights (WSH)D5421618-230064564716344.26%56104219.310331488101275110.00%000000.3500000101
12Juho LammikkoLondon Knights (WSH)C/LW/RW548715-960409011945836.72%1290916.840001800041201045.28%31800000.3300000110
13Mark McNeillLondon Knights (WSH)C/RW4368140180679510532705.71%1674917.4312312581125920049.84%61600000.3711000101
14Michael CarconeLondon Knights (WSH)LW44581306036395819358.62%246810.6500013000010038.71%3100000.5500000000
15Patrick SieloffLondon Knights (WSH)D5421113-846013638349185.88%4984215.60101726000150000.00%000000.3100000000
16Greg PaterynLondon Knights (WSH)D461910-323549353316173.03%4868314.850119480110104100.00%000000.2900100010
17Carter VerhaegheLondon Knights (WSH)C546410240205250163012.00%73837.10000020000421050.11%45900000.5200000002
18Jordan SzwarzLondon Knights (WSH)RW35303-1401316181916.67%11544.4100000000001030.77%1300000.3900000001
19Sean MaloneLondon Knights (WSH)C10022100223150.00%1242.4800000000000050.00%200001.6200000000
20Mathias BauLondon Knights (WSH)LW/RW8000-120926170.00%1577.14000000000000100.00%300000.0000000000
21Kevin TanseyLondon Knights (WSH)D1000000112010.00%099.170000000000000.00%000000.0000000000
Team Total or Average919135242377-903461013261275155443111108.69%4501541516.7722406220197633625109518850.58%449000100.49623101221623
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
1Oscar DanskLondon Knights (WSH)31121420.9032.77151521707220010.800152529220
2Garret SparksLondon Knights (WSH)2371410.8913.24127701696320030.77892130100
3Charlie LindgrenLondon Knights (WSH)52200.8923.0927200141300100.0000514010
Team Total or Average59213030.8973.0030652215314840140.792245173330


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 StatusType Current Salary Salary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Austin WatsonLondon Knights (WSH)C/LW/RW261/13/1992 3:56:35 AMYes204 Lbs6 ft4NoNoNo1RFAPro & Farm1,300,000$Link / NHL Link
Carter VerhaegheLondon Knights (WSH)C238/14/1995 3:30:41 AMYes181 Lbs6 ft1NoNoNo1RFAPro & Farm800,000$Link / NHL Link
Charlie LindgrenLondon Knights (WSH)LW/RW2512/18/1993 9:18:05 AMYes182 Lbs6 ft1NoNoNo2RFAPro & Farm915,000$915,000$Link / NHL Link
Daniel AltshullerLondon Knights (WSH)D247/24/1994 3:35:05 AMYes205 Lbs6 ft3NoNoNo2RFAPro & Farm600,000$600,000$Link / NHL Link
Garret SparksLondon Knights (WSH)C256/28/1993 12:26:04 PMYes195 Lbs6 ft2NoNoNo1RFAPro & Farm650,000$Link / NHL Link
Greg PaterynLondon Knights (WSH)D286/20/1990 5:26:46 AMYes224 Lbs6 ft3NoNoNo1RFAPro & Farm800,000$Link / NHL Link
Jacob MacDonaldLondon Knights (WSH)D252/26/1993 6:34:36 AMYes201 Lbs6 ft0NoNoNo3RFAPro & Farm1,000,000$1,000,000$1,000,000$Link / NHL Link
Jared BollLondon Knights (WSH)RW325/13/1986 4:35:49 AMNo206 Lbs6 ft3NoNoNo1UFAPro & Farm650,000$Link / NHL Link
Jordan SzwarzLondon Knights (WSH)RW275/14/1991 3:03:42 AMNo200 Lbs5 ft11NoNoNo1RFAPro & Farm650,000$Link / NHL Link
Juho LammikkoLondon Knights (WSH)C/LW/RW221/29/1996 2:30:18 AMYes207 Lbs6 ft2NoNoNo2RFAPro & Farm717,500$717,500$Link / NHL Link
Kevin TanseyLondon Knights (WSH)D252/22/1993 3:37:25 PMYes225 Lbs6 ft4NoNoNo1RFAPro & Farm475,000$NHL Link
Mario KempeLondon Knights (WSH)C/LW/RW309/19/1988 6:22:05 AMNo185 Lbs6 ft0NoNoNo2UFAPro & Farm1,000,000$1,000,000$Link / NHL Link
Mark McNeillLondon Knights (WSH)C/RW252/22/1993 4:45:00 AMYes214 Lbs6 ft2NoNoNo2RFAPro & Farm925,000$925,000$Link / NHL Link
Mathias BauLondon Knights (WSH)LW/RW257/3/1993 6:23:59 AMYes238 Lbs6 ft7NoNoNo3RFAPro & Farm625,000$625,000$625,000$NHL Link
Michael CarconeLondon Knights (WSH)LW225/19/1996 6:18:27 AMYes170 Lbs5 ft9NoNoNo2RFAPro & Farm600,000$600,000$Link / NHL Link
Nathan Gerbe (Out of Payroll)London Knights (WSH)LW/RW317/24/1987 4:58:25 AMNo176 Lbs5 ft4NoNoNo2UFAPro & Farm1,000,000$1,000,000$Link / NHL Link
Nelson NogierLondon Knights (WSH)D225/27/1996 3:33:33 AMYes191 Lbs6 ft2NoNoNo2RFAPro & Farm650,000$650,000$Link / NHL Link
Nicholas MerkleyLondon Knights (WSH)C/RW215/23/1997 10:31:51 AMYes194 Lbs5 ft10NoNoNo3RFAPro & Farm1,000,000$1,000,000$1,000,000$Link / NHL Link
Noel AcciariLondon Knights (WSH)C/RW2712/1/1991 10:45:16 AMYes208 Lbs5 ft10NoNoNo2RFAPro & Farm875,000$875,000$Link / NHL Link
Oscar DanskLondon Knights (WSH)RW242/28/1994 11:15:14 AMYes195 Lbs6 ft3NoNoNo3RFAPro & Farm899,000$899,000$899,000$Link / NHL Link
Patrice CormierLondon Knights (WSH)C/LW286/14/1990 1:49:43 PMNo215 Lbs6 ft2NoNoNo3RFAPro & Farm900,000$1,250,000$1,350,000$Link / NHL Link
Patrick SieloffLondon Knights (WSH)D245/15/1994 5:47:00 AMYes205 Lbs6 ft1NoNoNo1RFAPro & Farm650,000$Link / NHL Link
Sean MaloneLondon Knights (WSH)C234/30/1995 10:35:19 AMYes190 Lbs6 ft0NoNoNo3RFAPro & Farm575,000$575,000$575,000$Link / NHL Link
Sean WalkerLondon Knights (WSH)D2411/13/1994 6:42:47 AMYes196 Lbs5 ft11YesNoNo3RFAPro & Farm1,000,000$1,000,000$1,000,000$Link / NHL Link
Taylor ChorneyLondon Knights (WSH)D317/12/1987 2:10:27 PMNo193 Lbs6 ft0NoNoNo3UFAPro & Farm1,200,000$1,200,000$1,200,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2525.56200 Lbs6 ft12.00818,260$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Noel AcciariNicholas Merkley35014
2Austin WatsonPatrice CormierJordan Szwarz32113
3Juho LammikkoMark McNeillJared Boll25113
4Sean MaloneCarter Verhaeghe8005
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Taylor ChorneyNelson Nogier30032
2Jacob MacDonaldGreg Pateryn30032
3Patrick SieloffJacob MacDonald30032
4Kevin TanseyTaylor Chorney10032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Patrice CormierJared Boll50122
2Juho LammikkoAustin WatsonMark McNeill50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Taylor ChorneyNelson Nogier50122
2Jacob MacDonaldGreg Pateryn50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Patrice Cormier50122
2Jared BollAustin Watson50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Taylor ChorneyNelson Nogier50122
2Sean WalkerGreg Pateryn50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Patrice Cormier50122Taylor ChorneyNelson Nogier50122
250122Jacob MacDonaldGreg Pateryn50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Patrice Cormier50122
2Jared BollAustin Watson50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Taylor ChorneyNelson Nogier50122
2Jacob MacDonaldGreg Pateryn50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Patrice CormierJared BollTaylor ChorneyNelson Nogier
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Patrice CormierJared BollTaylor ChorneyNelson Nogier
Extra Forwards
Normal PowerPlayPenalty Kill
Sean Malone, Noel Acciari, Austin WatsonSean Malone, Noel AcciariAustin Watson
Extra Defensemen
Normal PowerPlayPenalty Kill
Sean Walker, Jacob MacDonald, Patrick SieloffSean WalkerJacob MacDonald, Patrick Sieloff
Penalty Shots
Patrice Cormier, , Jared Boll, Austin Watson, Mark McNeill
Goalie
#1 : Oscar Dansk, #2 : Garret Sparks


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
1Adirondack Angels30200010613-71000001043120200000210-820.33368141057324497748852253251103301886600.00%7357.14%1892178849.89%943185250.92%43685051.29%12708681308399705348
2Binghamton Senators30200010811-3100000104312020000048-420.333813210057324498548852253251982518758112.50%8362.50%0892178849.89%943185250.92%43685051.29%12708681308399705348
3Bridgeport Sound Tigers4210100011923200100011651010000003-360.75011193000573244913148852253251115343011912325.00%13192.31%0892178849.89%943185250.92%43685051.29%12708681308399705348
4Butte Wolverines1010000025-31010000025-30000000000000.000246005732449334885225325141118243133.33%40100.00%0892178849.89%943185250.92%43685051.29%12708681308399705348
5Carolina Panthers11000000615110000006150000000000021.0006121800573244931488522532513994243133.33%20100.00%0892178849.89%943185250.92%43685051.29%12708681308399705348
6Cleveland Monsters1010000035-2000000000001010000035-200.000369105732449314885225325129862422100.00%20100.00%0892178849.89%943185250.92%43685051.29%12708681308399705348
7Denver Spurs30300000714-71010000035-22020000049-500.0007121910573244983488522532511143128767228.57%14564.29%0892178849.89%943185250.92%43685051.29%12708681308399705348
8Durham Pioneers1010000035-2000000000001010000035-200.00035800573244940488522532513688314250.00%4250.00%0892178849.89%943185250.92%43685051.29%12708681308399705348
9Halifax Mooseheads11000000312000000000001100000031221.0003690057324491748852253251328422000.00%20100.00%0892178849.89%943185250.92%43685051.29%12708681308399705348
10Hartford Wolfpack412010001112-1311010009811010000024-240.5001122330057324491224885225325111635321038112.50%16193.75%0892178849.89%943185250.92%43685051.29%12708681308399705348
11Hershey Bears22000000936000000000002200000093641.000917260057324496148852253251511010469222.22%50100.00%0892178849.89%943185250.92%43685051.29%12708681308399705348
12Iowa Wild11000000202000000000001100000020221.00024601573244931488522532513615228000.00%10100.00%0892178849.89%943185250.92%43685051.29%12708681308399705348
13Jacksonville Jokers30200010810-2201000106601010000024-220.33381321005732449874885225325173192467800.00%12283.33%0892178849.89%943185250.92%43685051.29%12708681308399705348
14Laval Rocket11000000101000000000001100000010121.0001230157324492848852253251326419400.00%20100.00%0892178849.89%943185250.92%43685051.29%12708681308399705348
15Long Island Ducks1010000014-31010000014-30000000000000.00011200573244932488522532513413635000.00%30100.00%0892178849.89%943185250.92%43685051.29%12708681308399705348
16Louisville Thunder2110000069-31010000037-41100000032120.5006101600573244950488522532518021244911100.00%11372.73%2892178849.89%943185250.92%43685051.29%12708681308399705348
17Milwaukee Admirals22000000844110000005321100000031241.000814220057324496648852253251531418475240.00%9188.89%0892178849.89%943185250.92%43685051.29%12708681308399705348
18Oakland Seals2020000027-51010000013-21010000014-300.000235005732449474885225325163126553133.33%20100.00%0892178849.89%943185250.92%43685051.29%12708681308399705348
19Oakville Wolves11000000321110000003210000000000021.0003470057324493348852253251172723100.00%10100.00%0892178849.89%943185250.92%43685051.29%12708681308399705348
20Ontario Reign1010000013-21010000013-20000000000000.00011200573244930488522532512913617200.00%30100.00%0892178849.89%943185250.92%43685051.29%12708681308399705348
21Pensacola Ice Flyers1010000023-11010000023-10000000000000.0002460057324492248852253251249232200.00%110.00%0892178849.89%943185250.92%43685051.29%12708681308399705348
22Philadelphia Phantoms2020000037-4000000000002020000037-400.000358105732449564885225325152221247600.00%5180.00%0892178849.89%943185250.92%43685051.29%12708681308399705348
23Rockford IceHogs2110000056-12110000056-10000000000020.50051015005732449544885225325141231648300.00%7271.43%0892178849.89%943185250.92%43685051.29%12708681308399705348
24Seattle Thunderbirds1010000015-4000000000001010000015-400.00012300573244922488522532514241231100.00%6183.33%0892178849.89%943185250.92%43685051.29%12708681308399705348
25Syracuse Crunch301000111113-2200000118801010000035-230.50011193000573244911748852253251843114764125.00%7442.86%0892178849.89%943185250.92%43685051.29%12708681308399705348
26Texas Stars200000116601000000123-11000001043130.75061016005732449574885225325170231469500.00%7185.71%0892178849.89%943185250.92%43685051.29%12708681308399705348
27Toronto Marlies11000000523000000000001100000052321.0005914005732449344885225325132108272150.00%4175.00%0892178849.89%943185250.92%43685051.29%12708681308399705348
Total54162803052141168-2726711020427682-628917010106586-21500.463141248389425732449157048852253251163348136813931162218.97%1693380.47%3892178849.89%943185250.92%43685051.29%12708681308399705348
29Wilkes Barre-Scranton4120100078-11010000003-33110100075240.500713200057324499348852253251973527937114.29%11190.91%0892178849.89%943185250.92%43685051.29%12708681308399705348
_Since Last GM Reset54162803052141168-2726711020427682-628917010106586-21500.463141248389425732449157048852253251163348136813931162218.97%1693380.47%3892178849.89%943185250.92%43685051.29%12708681308399705348
_Vs Conference32816030418695-91645020415145616411010003550-15310.4848615223820573244993148852253251918280201825731013.70%921781.52%1892178849.89%943185250.92%43685051.29%12708681308399705348
_Vs Division1845020104950-110310201034268814000001524-9140.38949901391057324495504885225325150316611946240717.50%54885.19%0892178849.89%943185250.92%43685051.29%12708681308399705348

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5450L314124838915701633481368139342
All Games
GPWLOTWOTL SOWSOLGFGA
5416283052141168
Home Games
GPWLOTWOTL SOWSOLGFGA
2671120427682
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2891710106586
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1162218.97%1693380.47%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
488522532515732449
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
892178849.89%943185250.92%43685051.29%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12708681308399705348


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
1 - 2018-11-266London Knights1Wilkes Barre-Scranton2LBoxScore
3 - 2018-11-2821London Knights1Laval Rocket0WBoxScore
4 - 2018-11-2929Hartford Wolfpack2London Knights3WXBoxScore
5 - 2018-11-3046London Knights1Oakland Seals4LBoxScore
7 - 2018-12-0257Bridgeport Sound Tigers2London Knights3WXBoxScore
9 - 2018-12-0480Long Island Ducks4London Knights1LBoxScore
10 - 2018-12-0599Oakland Seals3London Knights1LBoxScore
11 - 2018-12-06104London Knights2Philadelphia Phantoms4LBoxScore
13 - 2018-12-08125London Knights3Binghamton Senators4LBoxScore
15 - 2018-12-10142London Knights1Denver Spurs5LBoxScore
16 - 2018-12-11152Syracuse Crunch4London Knights5WXXBoxScore
18 - 2018-12-13173Bridgeport Sound Tigers3London Knights4WBoxScore
19 - 2018-12-14189London Knights5Hershey Bears1WBoxScore
21 - 2018-12-16196London Knights1Adirondack Angels3LBoxScore
22 - 2018-12-17211Jacksonville Jokers3London Knights2LBoxScore
24 - 2018-12-19235Hartford Wolfpack3London Knights5WBoxScore
26 - 2018-12-21244London Knights3Wilkes Barre-Scranton2WXBoxScore
28 - 2018-12-23266London Knights2Hartford Wolfpack4LBoxScore
29 - 2018-12-24274Bridgeport Sound Tigers1London Knights4WBoxScore
31 - 2018-12-26291London Knights1Philadelphia Phantoms3LBoxScore
32 - 2018-12-27307London Knights3Syracuse Crunch5LBoxScore
34 - 2018-12-29320Ontario Reign3London Knights1LBoxScore
36 - 2018-12-31339Louisville Thunder7London Knights3LBoxScore
38 - 2019-01-02357Rockford IceHogs4London Knights2LBoxScore
39 - 2019-01-03373London Knights3Cleveland Monsters5LBoxScore
41 - 2019-01-05388Jacksonville Jokers3London Knights4WXXBoxScore
43 - 2019-01-07406London Knights5Toronto Marlies2WBoxScore
44 - 2019-01-08420Syracuse Crunch4London Knights3LXXBoxScore
45 - 2019-01-09433London Knights1Binghamton Senators4LBoxScore
47 - 2019-01-11452Adirondack Angels3London Knights4WXXBoxScore
49 - 2019-01-13467London Knights1Seattle Thunderbirds5LBoxScore
51 - 2019-01-15481Denver Spurs5London Knights3LBoxScore
52 - 2019-01-16492London Knights3Wilkes Barre-Scranton1WBoxScore
54 - 2019-01-18515London Knights3Louisville Thunder2WBoxScore
55 - 2019-01-19523Milwaukee Admirals3London Knights5WBoxScore
57 - 2019-01-21542London Knights3Halifax Mooseheads1WBoxScore
58 - 2019-01-22554Oakville Wolves2London Knights3WBoxScore
60 - 2019-01-24575Wilkes Barre-Scranton3London Knights0LBoxScore
62 - 2019-01-26594Butte Wolverines5London Knights2LBoxScore
63 - 2019-01-27608London Knights3Denver Spurs4LBoxScore
64 - 2019-01-28618London Knights1Adirondack Angels7LBoxScore
66 - 2019-01-30638Texas Stars3London Knights2LXXBoxScore
68 - 2019-02-01653London Knights4Texas Stars3WXXBoxScore
69 - 2019-02-02667Hartford Wolfpack3London Knights1LBoxScore
71 - 2019-02-04677London Knights2Jacksonville Jokers4LBoxScore
73 - 2019-02-06701Binghamton Senators3London Knights4WXXBoxScore
75 - 2019-02-08719Carolina Panthers1London Knights6WBoxScore
76 - 2019-02-09728London Knights4Hershey Bears2WBoxScore
78 - 2019-02-11749Rockford IceHogs2London Knights3WBoxScore
79 - 2019-02-12759London Knights3Milwaukee Admirals1WBoxScore
80 - 2019-02-13764London Knights2Iowa Wild0WBoxScore
84 - 2019-02-17792London Knights3Durham Pioneers5LBoxScore
85 - 2019-02-18802Pensacola Ice Flyers3London Knights2LBoxScore
86 - 2019-02-19814London Knights0Bridgeport Sound Tigers3LBoxScore
88 - 2019-02-21832Oakland Seals-London Knights-
90 - 2019-02-23855Seattle Thunderbirds-London Knights-
91 - 2019-02-24868London Knights-Ontario Reign-
93 - 2019-02-26887Long Island Ducks-London Knights-
95 - 2019-02-28905Richmond Renegades-London Knights-
96 - 2019-03-01917London Knights-Rockford IceHogs-
98 - 2019-03-03931London Knights-Butte Wolverines-
99 - 2019-03-04948Cleveland Monsters-London Knights-
101 - 2019-03-06967Pensacola Ice Flyers-London Knights-
102 - 2019-03-07974London Knights-Oakland Seals-
103 - 2019-03-08983London Knights-Austin Aces-
Trade Deadline --- Trades can’t be done after this day is simulated!
105 - 2019-03-101002London Knights-Richmond Renegades-
107 - 2019-03-121019Laval Rocket-London Knights-
109 - 2019-03-141041Austin Aces-London Knights-
111 - 2019-03-161062Durham Pioneers-London Knights-
112 - 2019-03-171075London Knights-Long Island Ducks-
114 - 2019-03-191092Hershey Bears-London Knights-
115 - 2019-03-201108London Knights-Oakville Wolves-
118 - 2019-03-231125Toronto Marlies-London Knights-
119 - 2019-03-241137London Knights-Richmond Renegades-
120 - 2019-03-251152Iowa Wild-London Knights-
122 - 2019-03-271166London Knights-Carolina Panthers-
124 - 2019-03-291187Halifax Mooseheads-London Knights-
125 - 2019-03-301191London Knights-Pensacola Ice Flyers-
127 - 2019-04-011217Halifax Mooseheads-London Knights-
128 - 2019-04-021218London Knights-Carolina Panthers-
131 - 2019-04-051245Philadelphia Phantoms-London Knights-
132 - 2019-04-061260London Knights-Laval Rocket-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
15 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
1,945,650$ 1,907,317$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
1,791,702$ 14,520$ 1,342,449$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 48 19,744$ 947,712$




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
201854162803052141168-2726711020427682-628917010106586-2150141248389425732449157048852253251163348136813931162218.97%1693380.47%3892178849.89%943185250.92%43685051.29%12708681308399705348
Total Regular Season54162803052141168-2726711020427682-628917010106586-2150141248389425732449157048852253251163348136813931162218.97%1693380.47%3892178849.89%943185250.92%43685051.29%12708681308399705348