Montreal: Stats

Player Stats

Updated at: May 23, 2022, 5:33 AM (UTC)

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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. Dusan BulutNovi Sad44310.850.512.60.9340.010.0112.810131776%81362%141688%55010153.86930.8
2. Marijus UzupisŠakiai5377.431.86.40.6323.34.761.230122157%92733%71164%03111234.681551.0
3. Steve SirEdmonton5377.438.77.70.7929.25.851.0106967%153741%11100%41000173.461130.6
4. Jordan BakerEdmonton5326.430.46.10.5918.93.881.620203459%51533%2540%34010234.661740.8
5. Dominique JonesNY Harlem33010.022.97.60.7321.97.372.30061735%91850%66100%4300041.31351.7
6. Aleksandar RatkovLiman4276.826.46.60.5715.43.9102.531183256%41233%1333%63001205.051561.5
7. Aurelijus PukelisŠakiai5255.030.06.00.5413.52.761.240193751%1333%4667%21120357.0132251.0
8. Mihailo VasicLiman4246.031.67.90.6315.13.8133.310183060%3650%020%102010133.34910.3
9. Paulius BeliaviciusŠakiai5234.621.74.30.5312.22.4132.6007978%73123%2367%6502071.43420.4
10. Maksim KovacevicLiman4215.316.84.20.4910.32.651.3104944%83324%11100%32000174.351251.3
11. Kyle LandryEdmonton5204.028.85.80.5911.82.481.620152268%1520%3743%61010285.6101840.8
12. Tamás IvosevNovi Sad4174.315.33.80.498.32.161.510122255%030%51050%30120205.071382.0
13. Bogdan DragovicZemun3165.314.74.90.487.72.682.700111958%21217%1250%34010124.021031.0
14. Anže SrebovtPiran3165.310.03.30.508.02.70000101759%060%6967%00000144.76851.7
15. Nikola VukovicZemun3155.014.74.90.6810.23.431.020121771%1250%1333%20010134.35851.7
16. Westher MolteniLausanne3144.710.33.40.527.32.451.71061155%31421%22100%12020165.321482.7
17. Dejan MajstorovicNovi Sad4133.310.02.50.466.01.541.00071354%31421%010%2200082.03520.5
18. Marco LehmannLausanne3134.37.72.60.597.72.631.0002633%51533%11100%2001062.03362.0
19. Antoinne MorganoNY Harlem3134.313.34.40.526.82.341.300101953%000%3650%02020113.74710.3
20. Adin KavgicPiran3134.311.83.90.688.82.931.0007978%3838%020%21000103.35541.3
21. Wil MartinezSan Juan2136.56.93.40.729.44.721.0004667%3933%33100%0200031.50342.0
22. André FerrosSão Paulo DC2126.014.07.00.678.04.052.51061155%2367%2450%320002010.051573.5
23. Nebojsa BoskovicZemun3113.713.24.40.616.72.231.0106967%1520%3475%10020134.34931.0
24. Dele OgundokunOld Montreal2115.59.14.60.556.13.073.5006967%1813%33100%2302063.02442.0
25. Alex JohnsonToronto2115.55.72.80.384.22.131.5005683%32214%010%0300073.51621.0
26. Šarūnas VingelisŠakiai5102.07.81.60.484.81.030.60081457%050%22100%1101040.82210.2
27. Jordan Jensen-WhyteEdmonton5102.010.52.10.505.01.0102.00081267%1714%010%3502071.41630.6
28. Simon FinzgarPiran3103.311.13.70.313.11.041.3005863%2229%1250%12010186.041431.0
29. Gregory FaulknerOld Montreal2105.07.63.80.565.62.821.0002540%41331%000%1001063.01531.5
30. Marko SavićNovi Sad492.315.33.80.534.81.2143.5005863%2825%010%9212051.30530.8
31. Gašper OvnikPiran393.06.42.10.433.91.341.3003475%21414%2367%3100051.72331.0
32. Sebastian BeckettOld Montreal294.57.03.50.565.02.510.50071070%030%2367%1000084.04431.5
33. Leandro Souza De LimaLausanne382.75.51.80.504.01.341.3003838%2729%11100%0112072.32541.3
34. Marcel EsonwuneNY Harlem382.715.25.10.403.21.182.70061833%000%22100%01160144.712210.3
35. Lazar RasicZemun382.75.61.90.332.60.941.300000%42218%020%4000082.72651.7
36. Luiz SorianiSão Paulo DC284.06.53.20.504.02.010.5101425%31127%11100%0100073.50710.5
37. Jefferson SocasSão Paulo DC273.57.63.80.584.12.042.01071070%020%000%2200073.51621.0
38. Jalyn PennieToronto273.510.95.40.412.91.421.01071450%020%010%00110189.013521.0
39. Benjamin ColonSan Juan263.02.31.20.462.81.410.5104944%010%2367%0001094.55463.0
40. Gilles MartinLausanne351.70.100.422.10.741.3003475%1813%000%2200062.02472.3
41. David SeagersNY Harlem341.35.11.70.271.10.451.70031225%020%11100%2300082.72620.7
42. Jonathan GarciaSan Juan242.03.21.60.291.20.642.00041040%040%000%0400042.03100
43. Josue ErazoSan Juan242.03.31.60.441.80.931.5004667%030%000%0102052.52331.5
44. Marlo DavisToronto242.0-1.1-0.60.361.40.731.5001333%1714%11100%2100052.51473.5
45. Vincent DufortOld Montreal231.5-0.5-0.20.331.00.500001520%1425%000%0000031.50331.5
46. Leonardo BranquinhoSão Paulo DC221.00.90.40.200.40.221.0002825%020%000%0101031.50321.0
47. Tramar SutherlandToronto111.00.20.20.170.20.200001425%020%000%0000022.02011.0

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).