Recent Game Results

Height of bar is margin of victory • Mouseover bar for details • Click for box score • Grouped by Month

Roster

Roster Table
Player # Class Pos Height Weight Hometown High School RSCI Top 100 Summary
Kino Lilly10SOG6-0165Glenn Dale, MDLandon School 16.9 Pts, 2.1 Reb, 2.4 Ast
Paxson Wojcik0SRG6-4185Charleston, SCLa Lumiere School 14.9 Pts, 7.2 Reb, 3.2 Ast
Nana Owusu-Anane31SOF6-8220Burlington, CanadaPutnam Science Academy 10.3 Pts, 8.2 Reb, 2.1 Ast
Kalu Anya15FRF6-8215Worcester, MADoherty Memorial (MA); IMG Academy (FL) 8.2 Pts, 6.2 Reb, 1.6 Ast
Dan Friday1JRG6-4225Detroit, MIUniversity of Detroit Jesuit (MI) 7.7 Pts, 3.6 Reb, 2.7 Ast
Aaron Cooley21SOG6-5185Roxbury, MANewton North HS 5.1 Pts, 2.6 Reb, 0.8 Ast
Perry Cowan3SRG6-4205Chicago, ILDePaul College Prep 3.5 Pts, 0.7 Reb, 0.4 Ast
Kimo Ferrari23JRG6-0185San Diego, CAFrancis Parker HS 3.9 Pts, 1.9 Reb, 1.4 Ast
Malachi Ndur11JRF6-8215St. Thomas, CanadaCushing Academy 3.6 Pts, 3.0 Reb, 0.6 Ast
Felix Kloman2JRG6-5190Ipswich, MAPingree School 2.0 Pts, 0.9 Reb, 0.4 Ast
Landon Lewis22FRF6-7215Los Angeles, CAHarvard-Westlake (CA) 2.2 Pts, 2.1 Reb, 0.2 Ast
Lyndel Erold4SOG6-3170Boston, MASt. Sebastian's School 0.5 Pts, 0.4 Reb, 0.1 Ast
Sam Klores5SOG6-1180New York, NYRiverdale Country School 0.5 Pts, 0.4 Reb, 0.1 Ast
AJ Lesburt33FRG6-5197Derry, NHBradford Christian (MA) 0.3 Pts, 0.6 Reb, 0.1 Ast

Per Game Team and Opponent Stats

Per Game Team and Opponent Stats Table
  G MP FG FGA FG% 2P 2PA 2P% 3P 3PA 3P% FT FTA FT% ORB DRB TRB AST STL BLK TOV PF PTS
Team2740.225.357.7.43817.334.6.4988.023.0.34711.017.2.6428.926.034.913.87.23.213.416.269.6
Rank211th191st228th251st235th235th106th117th154th318th225th352nd267th89th182nd128th95th159th91st232nd230th
Opponent2740.225.557.1.44718.135.9.5047.421.1.35010.915.3.7108.126.334.412.06.83.013.917.069.3
Rank211th161st249th200th177th219th211th173rd270th52nd54th151st24th328th201st236th256th166th276th189th152nd
Per Game Team and Opponent Stats Table
  G MP FG FGA FG% 2P 2PA 2P% 3P 3PA 3P% FT FTA FT% ORB DRB TRB AST STL BLK TOV PF PTS
Team1440.426.960.1.44818.637.1.5028.323.0.36012.818.1.7088.024.032.013.47.23.512.216.774.9
Rank4th2nd5th3rd3rd6th3rd4th2nd5th5th6th4th4th5th3rd2nd4th3rd7th5th
Opponent1440.427.559.9.45919.237.5.5128.322.4.36911.617.0.6857.424.632.111.95.92.613.318.074.9
Rank6th5th5th7th6th5th5th3rd8th1st2nd2nd4th7th6th6th4th1st7th5th5th

Total Team and Opponent Stats

Total Team and Opponent Stats Table
  G MP FG FGA FG% 2P 2PA 2P% 3P 3PA 3P% FT FTA FT% ORB DRB TRB AST STL BLK TOV PF PTS
Team2754286821557.438466935.498216622.347298464.642241701942372194873614381878
Rank356th359th228th356th355th235th260th281st154th356th342nd352nd337th343rd357th295th234th247th45th8th357th
Opponent2754286891541.447489970.504200571.350294414.710218711929325183823744591872
Rank11th4th249th23rd15th219th45th22nd270th4th5th151st3rd21st5th17th59th35th98th14th5th
Total Team and Opponent Stats Table
  G MP FG FGA FG% 2P 2PA 2P% 3P 3PA 3P% FT FTA FT% ORB DRB TRB AST STL BLK TOV PF PTS
Team142825377842.448261520.502116322.360179253.708112336448187101491712341049
Rank4th2nd5th3rd3rd6th3rd4th2nd5th5th6th4th4th5th3rd2nd4th5th2nd5th
Opponent142825385839.459269525.512116314.369163238.68510434544916783361862521049
Rank6th5th5th7th6th5th5th3rd8th1st2nd2nd4th7th6th2nd4th1st7th5th5th

Per Game

Per Game Table
Rk Player G GS MP FG FGA FG% 2P 2PA 2P% 3P 3PA 3P% FT FTA FT% ORB DRB TRB AST STL BLK TOV PF PTS
1Kino Lilly272734.75.913.5.4383.16.4.4832.97.1.3992.12.6.8290.31.72.12.41.10.02.41.516.9
2Paxson Wojcik272734.65.111.0.4613.05.4.5442.15.6.3802.63.8.6890.56.77.23.21.30.01.82.214.9
3Nana Owusu-Anane252428.64.09.0.4423.88.0.4770.21.1.1852.13.6.5962.85.48.22.11.41.22.43.010.3
4Kalu Anya181725.33.26.1.5273.15.8.5240.20.3.6001.63.1.5091.94.36.21.60.70.72.42.08.2
5Dan Friday191321.02.86.6.4242.55.4.4660.31.2.2271.82.6.7001.22.43.62.71.20.21.92.47.7
6Aaron Cooley272119.52.04.6.4241.63.4.4780.31.2.2730.91.4.6150.61.92.60.80.70.80.91.65.1
7Kimo Ferrari24122.61.33.7.3640.40.8.5000.92.8.3240.30.5.6670.31.61.91.40.90.00.72.23.9
8Malachi Ndur16313.91.63.0.5211.42.2.6290.20.8.2310.30.6.4001.11.93.00.60.60.41.31.43.6
9Perry Cowan27211.71.23.7.3270.20.6.3131.03.1.3290.00.3.1430.30.40.70.40.20.10.20.63.5
10Landon Lewis16011.20.91.4.6360.91.4.6360.00.00.40.7.6360.61.42.10.20.20.40.61.72.2
11Felix Kloman1907.90.71.9.3610.40.9.4710.31.0.2630.40.6.6360.20.80.90.40.20.10.30.82.0
12Lyndel Erold1201.90.20.5.3330.10.3.3330.10.3.3330.10.3.2500.20.30.40.10.00.10.10.60.5
13Sam Klores801.90.10.5.2500.00.1.0000.10.4.3330.10.4.3330.00.40.40.10.00.00.50.30.5
14AJ Lesburt801.60.10.5.2500.10.4.3330.00.1.0000.00.00.30.40.60.10.00.00.10.00.3
Per Game Table
Rk Player G GS MP FG FGA FG% 2P 2PA 2P% 3P 3PA 3P% FT FTA FT% ORB DRB TRB AST STL BLK TOV PF PTS
1Kino Lilly141434.96.614.4.4583.57.2.4853.17.1.4302.42.8.8720.21.41.62.40.80.02.81.418.6
2Paxson Wojcik141435.65.811.4.5063.76.3.5912.15.1.4033.75.1.7320.56.67.13.41.30.11.82.217.4
3Nana Owusu-Anane141428.64.29.5.4444.08.5.4710.21.0.2142.23.5.6333.66.19.72.01.41.52.23.210.9
4Kalu Anya5526.83.46.2.5483.46.0.5670.00.2.0002.23.0.7330.64.85.41.61.00.82.42.49.0
5Dan Friday13820.32.86.7.4142.55.5.4510.31.2.2501.92.8.6941.32.84.12.71.30.31.62.27.8
6Aaron Cooley141320.22.25.1.4371.83.7.4810.41.4.3160.71.1.6670.71.62.40.40.80.70.91.85.6
7Kimo Ferrari13123.71.64.1.3960.71.2.6000.92.9.3160.20.4.6000.41.21.61.11.20.00.82.14.4
8Perry Cowan14110.91.34.1.3100.20.7.3001.13.4.3130.00.00.20.40.60.30.00.00.20.53.6
9Landon Lewis12012.31.01.6.6321.01.6.6320.00.00.60.8.7780.81.62.40.30.20.50.71.82.6
10Felix Kloman1008.00.61.6.3750.30.7.4290.30.9.3330.50.9.5560.00.70.70.40.00.10.11.22.0
11Malachi Ndur3011.70.72.3.2860.71.7.4000.00.7.0000.00.01.31.32.70.30.70.30.70.31.3
12Sam Klores501.60.20.21.0000.00.00.20.21.0000.00.2.0000.00.20.20.20.00.00.80.40.6
13Lyndel Erold602.00.20.5.3330.20.3.5000.00.2.0000.20.7.2500.00.20.20.20.00.20.00.50.5
14AJ Lesburt501.40.00.4.0000.00.2.0000.00.2.0000.00.00.00.60.60.20.00.00.20.00.0
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Totals

Totals Table
Rk Player G GS MP FG FGA FG% 2P 2PA 2P% 3P 3PA 3P% FT FTA FT% ORB DRB TRB AST STL BLK TOV PF PTS
1Kino Lilly2727938160365.43883172.48377193.3995870.82994756662916640455
2Paxson Wojcik2727933137297.46180147.54457150.38071103.68914180194873514959402
3Nana Owusu-Anane2524714100226.44295199.477527.1855389.596691352045335296074258
4Kalu Anya181745558110.52755105.52435.6002855.50935771122812124336147
5Dan Friday191339953125.42448103.466522.2273550.700234568512343646146
6Aaron Cooley272152653125.4244492.478933.2732439.6151752692118212342139
7Perry Cowan27231733101.327516.3132885.32917.14371118106261695
8Kimo Ferrari2415433288.3641020.5002268.324812.6677384533211165294
9Malachi Ndur1632232548.5212235.629313.231410.400183048997202257
10Felix Kloman1901501336.361817.471519.263711.6363151883161538
11Landon Lewis1601791422.6361422.63600711.636102333337102735
12Lyndel Erold1202326.33313.33313.33314.250235101176
13Sam Klores801514.25001.00013.33313.333033100424
14AJ Lesburt801314.25013.33301.00000235100102
School Totals2754286821557.438466935.498216622.347298464.642241701942372194873614381878
Totals Table
Rk Player G GS MP FG FGA FG% 2P 2PA 2P% 3P 3PA 3P% FT FTA FT% ORB DRB TRB AST STL BLK TOV PF PTS
1Kino Lilly141448892201.45849101.48543100.4303439.87231922331103919261
2Paxson Wojcik141449881160.5065288.5912972.4035271.73279299481812531243
3Nana Owusu-Anane141440059133.44456119.471314.2143149.63350861362819213145152
4Dan Friday1382643687.4143271.451416.2502536.694173653351742128101
5Aaron Cooley14132833171.4372552.481619.3161015.66710233361110132578
6Kimo Ferrari1313082153.396915.6001238.31635.6005162114160112757
7Perry Cowan1411531858.310310.3001548.313003584003751
8Kalu Anya551341731.5481730.56701.0001115.73332427854121245
9Landon Lewis1201481219.6321219.6320079.77810192932682231
10Felix Kloman10080616.37537.42939.33359.55607740111220
11Malachi Ndur303527.28625.40002.00000448121214
12Lyndel Erold601213.33312.50001.00014.250011101033
13Sam Klores508111.00000111.00001.000011100423
14AJ Lesburt50702.00001.00001.00000033100100

Per 40 Minutes

Per 40 Minutes Table
Rk Player G GS MP FG FGA FG% 2P 2PA 2P% 3P 3PA 3P% FT FTA FT% TRB AST STL BLK TOV PF PTS
1Kino Lilly27279386.815.6.4383.57.3.4833.38.2.3992.53.0.8292.42.81.20.02.81.719.4
2Paxson Wojcik27279335.912.7.4613.46.3.5442.46.4.3803.04.4.6898.33.71.50.02.12.517.2
3Dan Friday19133995.312.5.4244.810.3.4660.52.2.2273.55.0.7006.85.12.30.43.64.614.6
4Nana Owusu-Anane25247145.612.7.4425.311.1.4770.31.5.1853.05.0.59611.43.02.01.63.44.114.5
5Kalu Anya18174555.19.7.5274.89.2.5240.30.4.6002.54.8.5099.82.51.11.13.83.212.9
6Perry Cowan2723174.212.7.3270.62.0.3133.510.7.3290.10.9.1432.31.30.80.30.82.012.0
7Sam Klores80152.710.7.2500.02.7.0002.78.0.3332.78.0.3338.02.70.00.010.75.310.7
8Aaron Cooley27215264.09.5.4243.37.0.4780.72.5.2731.83.0.6155.21.61.41.61.73.210.6
9Lyndel Erold120233.510.4.3331.75.2.3331.75.2.3331.77.0.2508.71.70.01.71.712.210.4
10Malachi Ndur1632234.58.6.5213.96.3.6290.52.3.2310.71.8.4008.61.61.61.33.63.910.2
11Felix Kloman1901503.59.6.3612.14.5.4711.35.1.2631.92.9.6364.82.10.80.31.64.010.1
12Landon Lewis1601793.14.9.6363.14.9.6360.00.01.62.5.6367.40.70.71.62.26.07.8
13Kimo Ferrari2415432.46.5.3640.71.5.5001.65.0.3240.60.9.6673.32.41.50.11.23.86.9
14AJ Lesburt80133.112.3.2503.19.2.3330.03.1.0000.00.015.43.10.00.03.10.06.2
Per 40 Minutes Table
Rk Player G GS MP FG FGA FG% 2P 2PA 2P% 3P 3PA 3P% FT FTA FT% TRB AST STL BLK TOV PF PTS
1Kino Lilly14144887.516.5.4584.08.3.4853.58.2.4302.83.2.8721.82.70.90.03.21.621.4
2Paxson Wojcik14144986.512.9.5064.27.1.5912.35.8.4034.25.7.7328.03.91.40.12.02.519.5
3Dan Friday1382645.513.2.4144.810.8.4510.62.4.2503.85.5.6948.05.32.60.63.24.215.3
4Nana Owusu-Anane14144005.913.3.4445.611.9.4710.31.4.2143.14.9.63313.62.81.92.13.14.515.2
5Sam Klores5085.05.01.0000.00.05.05.01.0000.05.0.0005.05.00.00.020.010.015.0
6Kalu Anya551345.19.3.5485.19.0.5670.00.3.0003.34.5.7338.12.41.51.23.63.613.4
7Perry Cowan1411534.715.2.3100.82.6.3003.912.5.3130.00.02.11.00.00.00.81.813.3
8Aaron Cooley14132834.410.0.4373.57.3.4810.82.7.3161.42.1.6674.70.81.61.41.83.511.0
9Lyndel Erold60123.310.0.3333.36.7.5000.03.3.0003.313.3.2503.33.30.03.30.010.010.0
10Felix Kloman100803.08.0.3751.53.5.4291.54.5.3332.54.5.5563.52.00.00.50.56.010.0
11Landon Lewis1201483.25.1.6323.25.1.6320.00.01.92.4.7787.80.80.51.62.25.98.4
12Kimo Ferrari1313082.76.9.3961.21.9.6001.64.9.3160.40.6.6002.71.82.10.01.43.57.4
13Malachi Ndur30352.38.0.2862.35.7.4000.02.3.0000.00.09.11.12.31.12.31.14.6
14AJ Lesburt5070.011.4.0000.05.7.0000.05.7.0000.00.017.15.70.00.05.70.00.0

Per 100 Poss

Per 100 Poss Table
Rk Player G GS MP FG FGA FG% 2P 2PA 2P% 3P 3PA 3P% FT FTA FT% TRB AST STL BLK TOV PF PTS   ORtg DRtg
1Kino Lilly27279389.822.3.4385.110.5.4834.711.8.3993.54.3.8293.44.01.80.14.02.427.8105.7104.6
2Paxson Wojcik27279338.418.2.4614.99.0.5443.59.2.3804.46.3.68911.95.32.10.13.03.624.7113.998.5
3Dan Friday19133997.617.9.4246.914.8.4660.73.2.2275.07.2.7009.87.33.30.65.26.621.098.198.0
4Nana Owusu-Anane25247148.018.1.4427.616.0.4770.42.2.1854.37.1.59616.44.32.82.34.85.920.796.294.2
5Kalu Anya18174557.313.8.5276.913.2.5240.40.6.6003.56.9.50914.13.51.51.55.44.518.595.299.0
6Perry Cowan2723176.018.2.3270.92.9.3135.115.4.3290.21.3.1433.31.81.10.41.12.917.296.0106.3
7Sam Klores80153.815.3.2500.03.8.0003.811.5.3333.811.5.33311.53.80.00.015.37.615.347.4102.9
8Aaron Cooley27215265.813.6.4244.810.0.4781.03.6.2732.64.2.6157.52.32.02.32.54.615.195.799.6
9Lyndel Erold120235.014.9.3332.57.5.3332.57.5.3332.510.0.25012.52.50.02.52.517.414.985.7101.7
10Malachi Ndur1632236.412.3.5215.79.0.6290.83.3.2311.02.6.40012.32.32.31.85.15.714.690.298.0
11Felix Kloman1901505.013.7.3613.16.5.4711.97.3.2632.74.2.6366.93.11.10.42.35.714.594.3103.6
12Landon Lewis1601794.57.0.6364.57.0.6360.00.02.23.5.63610.61.01.02.23.28.611.2103.5100.5
13Kimo Ferrari2415433.49.3.3641.12.1.5002.37.2.3240.81.3.6674.73.52.20.11.75.59.9101.9102.6
14AJ Lesburt80134.417.6.2504.413.2.3330.04.4.0000.00.022.04.40.00.04.40.08.871.9102.4
Per 100 Poss Table
Rk Player G GS MP FG FGA FG% 2P 2PA 2P% 3P 3PA 3P% FT FTA FT% TRB AST STL BLK TOV PF PTS   ORtg DRtg
1Kino Lilly141448810.422.6.4585.511.4.4854.811.3.4303.84.4.8722.53.71.20.04.42.129.4107.9110.7
2Paxson Wojcik14144988.917.7.5065.79.7.5913.27.9.4035.77.8.73210.95.32.00.12.83.426.8123.7103.8
3Dan Friday1382647.518.1.4146.714.8.4510.83.3.2505.27.5.69411.07.33.50.84.45.821.0102.1100.8
4Nana Owusu-Anane14144008.118.3.4447.716.4.4710.41.9.2144.36.7.63318.73.82.62.94.36.220.9102.097.7
5Sam Klores5086.96.91.0000.00.06.96.91.0000.06.9.0006.96.90.00.027.513.720.648.0109.5
6Kalu Anya551347.012.7.5487.012.3.5670.00.4.0004.56.2.73311.13.32.11.64.94.918.598.9101.8
7Perry Cowan1411536.520.8.3101.13.6.3005.417.2.3130.00.02.91.40.00.01.12.518.393.4113.7
8Aaron Cooley14132836.013.8.4374.910.1.4811.23.7.3161.92.9.6676.41.22.11.92.54.915.295.6104.5
9Lyndel Erold60124.613.7.3334.69.2.5000.04.6.0004.618.3.2504.64.60.04.60.013.713.777.8105.2
10Felix Kloman100804.111.0.3752.14.8.4292.16.2.3333.46.2.5564.82.70.00.70.78.213.7108.8110.4
11Landon Lewis1201484.57.1.6324.57.1.6320.00.02.63.3.77810.81.10.72.23.08.211.5112.9105.5
12Kimo Ferrari1313083.79.5.3961.62.7.6002.16.8.3160.50.9.6003.72.52.90.02.04.810.298.7106.3
13Malachi Ndur30353.111.0.2863.17.9.4000.03.1.0000.00.012.61.63.11.63.11.66.375.0101.9
14AJ Lesburt5070.015.7.0000.07.9.0000.07.9.0000.00.023.67.90.00.07.90.00.020.5100.6

Advanced

Advanced Table
Rk Player G GS MP PER TS% eFG% 3PAr FTr PProd ORB% DRB% TRB% AST% STL% BLK% TOV% USG%   OWS DWS WS WS/40   OBPM DBPM BPM
1Paxson Wojcik272793319.2.581.557.505.3473841.722.812.119.42.10.112.421.52.11.73.8.1612.41.13.4
2Kino Lilly272793815.9.571.544.529.1924081.15.93.515.41.80.114.225.11.51.12.7.1141.6-1.10.5
3Nana Owusu-Anane252471417.4.481.454.119.39428611.022.316.615.22.84.518.323.30.41.62.0.110-1.91.6-0.3
4Aaron Cooley272152611.1.484.460.264.3121363.711.77.67.62.04.513.816.10.20.91.1.080-2.71.2-1.5
5Dan Friday191339915.6.491.444.176.4001666.613.39.925.83.31.119.523.50.30.71.1.105-1.91.0-0.9
6Kalu Anya181745514.1.540.541.045.5001558.820.014.312.31.53.024.020.00.20.81.0.085-2.50.6-1.9
7Kimo Ferrari2415437.4.502.489.773.136991.58.34.810.72.20.214.610.30.30.81.0.076-4.11.4-2.6
8Perry Cowan2723177.9.455.465.842.069852.54.13.36.01.10.75.417.70.10.30.4.056-1.3-1.4-2.7
9Landon Lewis1601799.4.643.636.000.500356.415.210.73.01.04.426.910.60.10.30.4.089-4.80.9-3.9
10Malachi Ndur16322311.7.540.552.271.208609.215.912.57.82.33.527.516.60.00.40.4.070-3.11.5-1.6
11Felix Kloman1901507.6.461.431.528.306382.311.87.09.81.10.712.716.00.00.20.2.061-4.6-0.3-4.9
12Lyndel Erold120234.7.380.417.500.66779.915.412.68.00.04.911.219.60.00.00.0.038-7.3-0.4-7.7
13AJ Lesburt80136.2.250.250.250.000317.527.322.314.00.00.020.019.50.00.00.0-.023-3.3-2.7-6.0
14Sam Klores8015-10.3.369.375.750.75040.023.611.611.90.00.042.431.9-0.10.0-0.1-.216-17.0-5.7-22.7
Advanced Table
Rk Player G GS MP PER TS% eFG% 3PAr FTr PProd ORB% DRB% TRB% AST% STL% BLK% TOV% USG%   OWS DWS WS WS/40
1Paxson Wojcik141449825.5.627.597.450.4442341.723.712.519.12.00.211.421.92.00.32.3.188
2Kino Lilly141448819.6.594.565.498.1942340.85.02.814.11.20.015.126.41.40.01.3.109
3Nana Owusu-Anane141440022.4.486.455.105.36817815.527.621.413.52.65.716.623.30.80.51.3.130
4Dan Friday13826420.4.485.437.184.4141198.017.512.625.03.51.616.823.60.50.20.8.119
5Aaron Cooley141328312.0.499.479.268.211744.410.47.33.82.13.814.316.10.20.20.4.053
6Kalu Anya5513416.3.590.548.032.484442.823.012.711.02.13.223.918.70.20.10.3.082
7Kimo Ferrari1313088.7.515.509.717.094582.06.74.37.62.90.016.610.70.20.10.3.043
8Landon Lewis12014811.8.666.632.000.474338.416.512.33.50.74.425.610.50.20.10.3.079
9Perry Cowan1411538.0.440.440.828.000462.44.23.34.80.00.04.919.90.1-0.10.1.014
10Felix Kloman100808.3.493.469.563.563190.011.25.58.40.01.34.713.30.10.00.1.056
11Lyndel Erold60125.1.306.333.3331.33330.010.75.214.30.09.00.020.40.00.00.0-.011
12AJ Lesburt507-7.9.000.000.500.00010.055.027.021.40.00.033.321.40.00.00.0-.248
13Malachi Ndur30358.8.286.286.286.000714.114.714.44.73.13.122.212.80.00.00.0.002
14Sam Klores508-8.71.0171.5001.0001.00030.016.17.923.10.00.073.134.1-0.10.0-0.1-.279

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