OPAP Limassol: Stats

Player Stats

Updated at: Apr 25, 2024, 12:07 PM (UTC)

Filter stats by Games played

0
0
5
5
Player
Team
GP
PTS
PPG
P-VAL
P-VALPG
S-EFF
S-VAL
S-VALPG
HGL
HGLPG
D5
T5
1PTM
1PTA
1PT%
2PTM
2PTA
2PT%
FTM
FTA
FT%
KAS
DRV
DNK
BS
BZR
REB
REBPG
OREB
DREB
TO
TOPG
1Dominique JonesNY Harlem 5418.239.07.80.6125.05.0234.600193063%82928%6875%15800081.644132.6
2Danilo MijatovićVrbas 4328.011.42.80.6721.45.310.300132259%61638%71070%00010123.0210174.3
3Milan KovačevićPiran 5306.031.56.30.5015.03.061.230204445%2633%61060%10131377.4191881.6
4Marcel EsonwuneNY Harlem 5306.039.98.00.7321.94.491.830293778%010%1333%00270367.2152191.8
5Luka SnojDomžale 4276.825.36.30.4010.82.782.010102343%74018%3475%53000256.352061.5
6Strahinja StojacicVrbas 4266.532.28.00.6817.74.4112.820142458%3743%6786%46100153.86941.0
7Janez KorošecDomžale 4256.321.55.40.6616.54.141.000172665%000%81267%02020143.541061.5
8Gašper OvnikPiran 5224.422.14.40.4610.12.081.60051533%62326%51050%52010183.671151.0
9Marijus UzupisŠakiai Gulbelė 3217.023.07.70.5712.04.041.3105956%72528%2367%10030186.09920.7
10Tjaž RotarPiran 5204.013.22.60.5110.22.081.6003650%83126%1250%7100081.64491.8
11Aurelijus PukelisŠakiai Gulbelė 3206.726.88.90.6913.84.641.320192286%040%1333%12100248.0121231.0
12Dimeo van der HorstAmsterdam 3206.722.47.50.6713.44.562.000101471%51533%010%50010103.34620.7
13Antoinne MorganoNY Harlem 5204.028.25.60.5611.22.281.630162955%1425%2367%52010285.691951.0
14Simon FinzgarPiran 5193.814.32.90.7013.32.720.4006875%51631%33100%20000122.44871.4
15Kyle LandryEdmonton 3186.024.38.10.6010.83.651.720142361%1333%2450%00230217.0101120.7
16Niklas GeskeHamburg 2178.513.86.90.467.83.984.01141429%51828%3560%4400063.01552.5
17Jordan Jensen-WhyteEdmonton 3155.015.15.00.7110.63.541.300101663%2450%11100%0301072.32531.0
18Leandro Souza De LimaLausanne TNV 3155.014.34.80.456.82.372.31121217%61638%1520%41011155.08772.3
19Aron RoijéAmsterdam 3144.718.46.10.7810.93.641.3004667%51242%000%1201093.02710.3
20Grigoris PantourisLimassol 2147.012.06.00.649.04.542.0004944%41136%22100%2200084.04452.5
21Jakob JesihDomžale 4133.310.12.50.354.61.171.800102245%0110%3475%2400171.83451.3
22Jermaine BucknorEdmonton 3134.317.85.90.688.82.982.7006967%1520%55100%6101082.73531.0
23Hengyi LiuBeijing 2136.513.36.60.8711.35.710.50081080%11100%3475%10000105.03742.0
24Marco LehmannLausanne TNV 3134.37.82.60.334.31.420.700101856%0160%3560%1001072.33420.7
25Filip SimicVrbas 4112.816.04.00.414.51.161.51051050%21414%2367%33000174.39830.8
26Steve SirEdmonton 3113.78.82.90.394.31.420.70061443%21315%11100%1100093.05420.7
27Sergi PinoBarcelona NSNG Team 2115.510.75.40.525.72.931.51091275%060%2367%1200063.02410.5
28David SeagersNY Harlem 5112.216.13.20.424.60.981.60091850%1813%000%51011132.67630.6
29Westher MolteniLausanne TNV 3103.318.06.00.505.01.7113.71071070%1813%1250%40160124.04841.3
30Huai JiangBeijing 294.55.32.70.534.82.421.00044100%21217%11100%0200052.51442.0
31Gilles MartinLausanne TNV 393.08.22.70.474.21.451.7003838%2825%2367%4100082.75351.7
32Kai Leander HänigHamburg 294.50.90.50.605.42.7001091560%000%000%00000136.576115.5
33Jesper JobseAmsterdam 382.72.70.90.534.21.4000061250%1333%000%0000072.34351.7
34Ismael ReinaBarcelona NSNG Team 284.03.01.50.443.51.810.50081362%050%000%0100052.52342.0
35Sergio De la FuenteBarcelona NSNG Team 284.08.04.00.383.01.510.51071937%010%11100%10000126.08421.0
36Iraklis PittakasLimassol 284.03.41.70.362.91.410.5003933%21217%11100%0100031.51221.0
37Paulius BeliaviciusŠakiai Gulbelė 372.312.14.00.231.60.572.30041136%1176%1250%5200093.04510.3
38Šarūnas VingelisŠakiai Gulbelė 362.08.32.80.382.30.841.3005863%070%11100%3100082.70820.7
39Sjoerd van VilsterenAmsterdam 362.07.52.50.503.01.041.3006967%020%010%0111172.33431.0
40Marko BrankovicVrbas 451.38.82.20.361.80.541.0002729%020%3560%20020123.021030.8
41Christos LoizidesLimassol 242.02.41.20.361.40.710.50041040%010%000%0100084.01742.0
42Rouven HänigHamburg 242.03.31.60.441.80.910.5004667%030%000%1000094.57242.0
43Malo ValerienHamburg 231.54.02.00.180.50.310.50021217%020%1333%10000115.57431.5
44Yi ZhengBeijing 221.0-1.2-0.60.130.30.110.5002540%0100%000%1000052.51452.5
45Xavi GuiraoBarcelona NSNG Team 221.010.35.20.170.30.163.0002633%050%010%4200084.03500
46Grega KajnihDomžale 1000.50.50000000000%000%000%0000011.00100
47Haonan LiBeijing 100000000000010%000%000%00000000000
48Marios GeorgiouLimassol 2001.00.500010.500030%010%000%0001063.01531.5

Legend

EP
Events played
GP
Games played
PTS
Points scored
PPG
Points per game
P-VAL
Player value
P-VALPG
Player value per game
S-EFF
Shooting efficiency
S-VAL
Shooting value
S-VALPG
Shooting value per game
HGL
Highlights
HGLPG
Highlights per game
D5
Double-fives
T5
Triple-fives
1PTM
One-point field goals made
1PTA
One-point field goal attempts
1PT%
One-point field goal percentage
2PTM
Two-point field goals made
2PTA
Two-point field goal attempts
2PT%
Two-point field goal percentage
FTM
Free throws made
FTA
Free throw attempts
FT%
Free throw percentage
KAS
Key assists
DRV
Drives
DNK
Dunks
BS
Blocked shots
BZR
Buzzerbeaters
REB
Rebounds
REBPG
Rebounds per game
OREB
Offensive rebounds
DREB
Defensive rebounds
TO
Turnovers
TOPG
Turnovers per game

Calculations

P-VAL (Player value)
(S-EFF * PTS) + KAS + DRV + DNK + BS + BZR + (REB/2) - TO
S-EFF (Shooting efficiency)
PTS / (1PTA + 2PTA + FTA)
S-VAL (Shooting value)
S-EFF * PTS
HGL (Highlights)
KAS + DRV + DNK + BS + BZR
D5 (Double-fives)
5 or more in 2 of these 3 categories: PTS-REB-HGL
T5 (Triple-fives)
5 or more in all 3 categories: PTS-REB-HGL

For more information, check the FIBA 3x3 Statisticians' Manual (PDF).