Jeddah Final: Stats

Player Stats

Updated at: May 16, 2022, 10:14 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
1. Nick CelisAntwerp4328.032.48.10.7022.45.6215.310293876%010%3743%811020123.04861.5
2. Mihailo VasicLiman5316.238.47.70.8225.45.1112.210222685%1333%7978%43040142.85920.4
3. Stefan KojicLiman5306.033.16.60.5215.63.1193.810132162%83424%1333%87121214.241740.8
4. Nebojsa KilijanLiman5295.830.16.00.8324.14.8102.00071070%112544%000%8200081.64461.2
5. Stanislav SharovGagarin5295.826.55.30.6920.04.071.40081457%92536%33100%3400091.82710.2
6. Dimeo van der HorstAmsterdam4287.024.56.10.5716.04.0112.800112544%51631%7888%8300092.32741.0
7. Angel MatiasSan Juan3268.717.75.90.7018.26.141.300192576%2540%3743%1300093.01862.0
8. Kirill PisklovGagarin5255.026.85.40.7117.83.661.21061060%82236%33100%51000224.451771.4
9. Karlis LasmanisRiga3258.326.08.70.7819.56.5113.70091275%51242%6875%55001113.74751.7
10. Dmitrii CheburkinGagarin5204.022.44.50.5711.42.3173.410162564%2825%020%18260163.241240.8
11. Thibaut VervoortAntwerp4194.820.05.00.509.52.4184.50091275%42417%22100%8721092.31830.8
12. Nauris MiezisRiga3196.314.64.90.5610.63.551.70081362%41724%3475%2300082.76220.7
13. Strahinja StojacicUb3196.316.95.60.7313.94.682.70071070%41233%44100%0602082.71731.0
14. Maksim KovacevicAmsterdam4184.518.94.70.559.92.561.5107978%52322%11100%24000225.522041.0
15. Arvin SlagterAmsterdam4184.514.93.70.5810.42.671.8005771%41921%55100%5200071.83441.0
16. Gilles MartinLausanne3175.711.23.70.6310.73.682.70091182%41625%000%3500031.02141.3
17. Miroslav PašajlićUb3155.013.24.40.6810.23.451.7003743%41136%44100%2300041.31310.3
18. Marco LehmannLausanne3144.710.93.60.679.43.110.3004850%41136%22100%1000031.03010.3
19. Marijus UzupisŠakiai2136.510.85.40.526.83.442.01071164%21020%2450%3100084.02631.5
20. Julian JaringAmsterdam4133.313.03.20.547.01.830.80091464%1333%2729%21000102.55510.3
21. Dejan MajstorovicUb3134.314.95.00.729.43.151.7003560%51242%010%2102051.72310.3
22. Luis HernandezSan Juan3134.313.14.40.628.12.751.710121771%010%1333%10130186.061282.7
23. Alexander ZuevGagarin5122.44.81.00.404.81.040.8004580%42417%010%1300061.20640.8
24. Marko BrankovicUb3124.08.62.90.556.62.210.30071258%1714%33100%10000103.33741.3
25. Badara TopLausanne3124.09.03.00.9211.03.710.3004667%4757%000%1000062.03362.0
26. Rafael BogaertsAntwerp4112.811.72.90.525.71.461.50071547%2633%000%31110123.04841.0
27. Aleksandar RatkovLiman5102.014.83.00.484.81.061.200102050%010%000%42000204.091140.8
28. Aurelijus PukelisŠakiai2105.011.75.80.676.73.400107888%010%3650%00000147.021221.0
29. Paulius BeliaviciusŠakiai2105.06.63.30.717.13.542.00033100%3933%1250%3100031.50352.5
30. Kareem MaddoxPrinceton2105.09.24.60.676.73.452.5006875%010%4667%0302073.51631.5
31. Edgars KruminsRiga393.05.51.80.454.01.341.3005863%1911%2367%1300031.01210.3
32. Damon HuffmanPrinceton294.51.70.80.696.23.100001425%4944%000%0000010.50152.5
33. Ovidijus VaranauskasJeddah294.56.23.10.474.22.131.50041136%2729%11100%2100042.03121.0
34. Nemanja DraskovicJeddah294.51.91.00.605.42.731.5004850%2633%11100%0300010.51042.0
35. Matthias LinortnerGraz294.58.04.00.504.52.321.0001425%31127%2367%1100052.50500
36. Bryan De ValckAntwerp482.016.94.20.675.41.482.00061060%11100%010%62000174.341330.8
37. Jorge MatosSan Juan382.75.81.90.352.80.962.00041040%1714%2633%13020124.04862.0
38. Agnis ČavarsRiga372.317.55.80.644.51.572.3003743%2450%000%40030186.041431.0
39. Martin TrmalGraz273.54.62.30.584.12.021.00022100%2922%11100%1100052.51431.5
40. TJ FernandezSan Juan372.38.62.90.443.11.041.3003650%1813%22100%31000113.75631.0
41. Zahir CarringtonPrinceton263.06.03.00.503.01.510.5005771%020%1333%0001084.03521.0
42. Kevin CorreJeddah263.08.94.40.402.41.221.0103743%020%3650%10100115.58300
43. Filip KrämerGraz263.02.81.40.382.31.110.51041233%010%2367%0100073.54331.5
44. Raad BarnawiJeddah242.04.22.10.672.71.40000020%2450%000%0000031.50300
45. Nico KaltenbrunnerGraz242.01.80.90.331.30.731.50044100%080%000%1200031.51221.0
46. Westher MolteniLausanne341.37.42.50.220.90.372.3003650%0100%1250%51100155.041162.0
47. Craig MoorePrinceton231.54.22.10.230.70.373.50011100%1128%000%6100052.50552.5
48. Šarūnas VingelisŠakiai221.03.21.60.330.70.30000020%1425%000%0000052.53200

Legend

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 shots made
1PTA
One point shot attempts
1PT%
One point shot percentage
2PTM
Two point shot made
2PTA
Two point shot attempts
2PT%
Two point shot 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-VAL + BS + KAS + BZR - TO + (REB/2)
S-EFF (Shooting efficiency)
PTS / number of shots attempted
S-VAL (Shooting value)
PTS * S-EFF
HGL (Highlights)
KAS + DRV + DNK + BS + BZR
D5 (Double-fives)
5 or more in 2 of these 3 categories: PTS-HGL-REB
T5 (Triple-fives)
5 or more in all 3 categories: PTS-HGL-REB

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