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"π“’π“š"Victor James Osimhen

"π“’π“š"Victor James Osimhen β€” CS2 Stats

NG76561198988791281[U:1:1028525553]Steam profile β†—βœ“ No bans

322Tracked matches67%Win rate2024Tracked since
877Hours in CS13Hrs last 2 wks
CSDB Rating5.7 SolidAggressive Rifler
Premier CS Rating19,999Purple band Β· top ~8.5% of ranked players (population est.)
CSDB Leaderboard#14337 of 35355 tracked
WingmanSilver III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here β€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate45.8%44.1%47.2%1.4% short
Shot accuracy4.0%11.4%12.7%8.7% short
Kill/death ratio0.951.031.090.13 short
Match win rate33.8%45.2%46.6%12.8% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms β€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG"π“’π“š"Victor James OsimhenPREMIER19,999 Β· Purple bandcsdb.gg/stats

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Performance scores

Aim80
Positioning49
Utility45

0–100 skill scores via Leetify.

Recent form

HOT59–40–1Last 10059%Win rateWWLWWWWWWL

Last 10 vs previous 10: +20pp win rate Β· +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler β€” Takes opening fights often, backed by a strong aim profile.

Aim8.0
Aggression7.5
Utility4.5
Positioning4.9
Opening Duels3.3
Clutch0.0

Strong CT-side opener

Style profile from tracked-match aggregates β€” how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 31 points β€” deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game β€” the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 54% on CT to 33% on T β€” the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 59% of shots are taken properly stopped β€” moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.0
Positioning4.9
Utility4.5
Mechanics2.0
Opening Duels3.3
Win Impact10.0

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (Γ—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.04
first β…“ avg 0.01 β†’ last β…“ avg 0.05
Reaction time441msβˆ’144ms
first β…“ avg 585ms β†’ last β…“ avg 441ms
Headshot accuracy20.4%+4.2%
first β…“ avg 16.2% β†’ last β…“ avg 20.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.23Best rating β€” dust2 13–4
13–3Biggest win β€” nuke
8Longest win streak
W2Current streak
10–3In matches decided by ≀2 rounds
10Overtime games

Map breakdown

dust2Best map Β· 67% over 36anubisWeakest map Β· 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2S3624–1267%0.03
ancientS2013–765%0.04
nukeA159–660%0.05
infernoB158–753%0.03
anubisD82–625%0.01
mirageA53–260%-0.01
cacheβ€”10–10%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,910Lifetime kills
0.95K/D
1,662Matches
33.8%Match win rate
45.8%Headshot % Β· Top 50% of Purple band
4.0%Shot accuracy
3,781MVPs
525Hours (in match)
1,136Bombs planted
294Bombs defused

Most-used weapons

AK-479,571
M4A4 / M4A1-S5,023
AWP4,461
Desert Eagle2,326
P2000 / USP-S1,228
Glock-18892
AUG820
P90732
SSG 08636
Galil AR599

Lifetime map wins

7,469dust2
665inferno
635nuke
56vertigo
13train
4ar_shoots
2ar_baggage

Lifetime totals via Steam β€” visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1Matches
0%Win rate
0.40Avg K/D
29.6ADR
75%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches β€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.9%Headshot accuracy
36.3%Accuracy (enemy spotted)
31.4%Spray accuracy
58.8%Counter-strafing
5.6Β°Preaim
431msReaction time
32.6%T opening success
53.6%CT opening success
0.57Enemies flashed / flash
3.0%Flash assists
7.08HE damage / grenade
10.70Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.6371% β€” below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics β€” lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games β€” your weakest map with enough games to be worth reading into.

Anubis callouts & strategy β†’Anubis grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
anubis13–90.0221%29 Aug β†’
dust213–110.0215%29 Aug β†’
nuke5–130.0821%27 Aug β†’
ancient16–140.0716%27 Aug β†’
dust213–70.0119%26 Aug β†’
dust213–100.1224%26 Aug β†’
inferno13–40.1123%25 Aug β†’
dust213–50.1035%24 Aug β†’
dust213–50.0227%24 Aug β†’
dust213–160.0722%23 Aug β†’
nuke10–130.0412%22 Aug β†’
cache8–130.0018%22 Aug β†’
nuke13–30.1422%19 Aug β†’
dust28–130.0322%19 Aug β†’
inferno13–90.0720%19 Aug β†’
nuke13–3-0.0838%19 Aug β†’
ancient13–60.0611%18 Aug β†’
ancient5–130.0425%10 Aug β†’
dust213–100.0815%10 Aug β†’
mirage13–110.0417%10 Aug β†’
nuke13–60.1427%10 Aug β†’
ancient13–11-0.0014%9 Aug β†’
dust213–30.1713%9 Aug β†’
dust210–130.0734%8 Aug β†’
inferno9–130.0010%8 Aug β†’
dust213–110.1027%8 Aug β†’
nuke5–13-0.0822%7 Aug β†’
ancient13–30.079%7 Aug β†’
inferno0–30.0217%6 Aug β†’
nuke13–40.0212%6 Aug β†’
dust213–50.0225%6 Aug β†’
nuke7–130.0125%4 Aug β†’
inferno13–80.1317%4 Aug β†’
inferno11–13-0.0115%4 Aug β†’
inferno13–60.0121%3 Aug β†’
dust216–140.0231%3 Aug β†’
anubis4–13-0.0124%3 Aug β†’
ancient3–130.0821%1 Aug β†’
nuke13–40.0529%31 Jul β†’
ancient13–110.049%31 Jul β†’
ancient13–70.1019%31 Jul β†’
dust213–60.0627%26 Jul β†’
nuke13–40.1014%25 Jul β†’
nuke13–30.1518%25 Jul β†’
inferno13–110.0324%25 Jul β†’
dust213–70.0328%25 Jul β†’
anubis7–130.1715%24 Jul β†’
ancient13–40.0222%24 Jul β†’
anubis1–130.0410%21 Jul β†’
dust216–130.0917%21 Jul β†’
nuke16–130.1314%20 Jul β†’
inferno11–130.1520%20 Jul β†’
ancient4–130.0439%20 Jul β†’
dust27–13-0.0814%20 Jul β†’
mirage13–11-0.0515%20 Jul β†’
dust213–80.0311%20 Jul β†’
anubis13–7-0.022%18 Jul β†’
inferno13–9-0.0315%18 Jul β†’
inferno15–150.0019%18 Jul β†’
dust210–13-0.0319%18 Jul β†’
anubis9–13-0.0113%17 Jul β†’
anubis2–13-0.0419%14 Jul β†’
ancient13–90.0327%14 Jul β†’
dust213–80.0224%13 Jul β†’
ancient4–130.0725%13 Jul β†’
nuke13–7-0.0014%13 Jul β†’
dust213–8-0.0423%13 Jul β†’
dust28–13-0.0011%8 Jul β†’
dust213–40.2325%8 Jul β†’
ancient13–40.1119%5 Jul β†’
nuke9–130.1313%5 Jul β†’
dust213–90.0718%2 Jul β†’
inferno13–8-0.0019%2 Jul β†’
ancient11–13-0.015%30 Jun β†’
ancient13–30.1113%24 Jun β†’
ancient13–50.0021%24 Jun β†’
nuke9–13-0.0717%23 Jun β†’
dust26–130.0315%23 Jun β†’
dust28–13-0.0422%22 Jun β†’
ancient7–13-0.0613%22 Jun β†’
mirage6–13-0.0414%21 Jun β†’
ancient13–90.035%21 Jun β†’
mirage13–100.0215%21 Jun β†’
dust213–4-0.0121%21 Jun β†’
ancient13–160.0422%20 Jun β†’
inferno13–90.0216%20 Jun β†’
dust20–13-0.029%20 Jun β†’
dust213–70.1020%19 Jun β†’
mirage9–13-0.0011%19 Jun β†’
dust27–13-0.0617%18 Jun β†’
dust23–13-0.0312%18 Jun β†’
dust213–60.0121%18 Jun β†’
inferno2–13-0.0118%18 Jun β†’
ancient16–12-0.1119%16 Jun β†’
anubis7–13-0.0412%16 Jun β†’
dust213–50.0826%16 Jun β†’
inferno12–16-0.0220%16 Jun β†’
dust23–13-0.0720%15 Jun β†’
dust216–120.0113%15 Jun β†’
dust213–110.0414%15 Jun β†’

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone β†’Inventory value for this account β†’Where does this rating sit? Premier rank tiers β†’

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