Barack Oganja <3

Barack Oganja <3 — CS2 Stats

JO76561198379188009[U:1:418922281]Steam profile ↗✓ No bans

1,384Tracked matches59%Win rate2020Tracked since
2,210Hours in CS
CSDB Rating6.0 SolidSupport
Premier CS Rating18,699Purple band · top ~13.7% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGBarack Oganja <3PREMIER18,699 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning50
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateTWLWWLWWLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −0.4pp headshot accuracy · −47ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 558ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 10%
  • Avg reaction 586ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 609ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim6.2
Utility6.4
Positioning5.0
Opening Duels2.0

Strong CT-side opener

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

sh1ro

Plays most like sh1ro 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 46% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

CSDB Rating breakdown

Aim6.2
Positioning5.0
Utility6.4
Mechanics7.6
Opening Duels2.0
Win Impact7.9

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time614ms−12ms
first ⅓ avg 626ms → last ⅓ avg 614ms
Headshot accuracy11.5%−1.4%
first ⅓ avg 12.9% → last ⅓ avg 11.5%

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.

Personal bests

0.15Best match rating · 1–8 · mirage, 29 May →
27%Best headshot accuracy · 5–13 · inferno, 25 Jun →
391msFastest reaction time · 4–4 · nuke, 2 Jul →
13–1Biggest win · nuke, 21 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 60% over 10infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B2512–1348%0.02
mirageA2112–957%0.01
nukeC166–1038%-0.03
infernoC114–736%0.01
ancientA106–460%0.00
cacheB105–550%0.04
anubisC52–340%0.00
vertigo—10–10%0.09
train—10–10%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,982Lifetime kills
0.97K/D
5,461Matches
44.9%Match win rate
34.9%Headshot %
16.9%Shot accuracy
14,695MVPs
2,210Hours (in match)
5,867Bombs planted
1,378Bombs defused

Most-used weapons

AK-4738,363
AWP5,603
UMP-453,856
MAC-103,661
P2502,971
MP92,713

Lifetime map wins

10,952dust2
5,206inferno
5,153nuke
1,520vertigo
1,336train
613cbble
479lake
264office

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

Skill profile

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

11.6%Headshot accuracy
35.5%Accuracy (enemy spotted)
39.9%Spray accuracy
84.4%Counter-strafing
11.1°Preaim
616msReaction time
26.4%T opening success
46.0%CT opening success
0.61Enemies flashed / flash
6.5%Flash assists
10.44HE damage / grenade
12.33Flashes / match

Recommended for you

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

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.6184% — below the 15% mark we flag

    Aim Training →
  2. 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 26.3732% — below the 40% mark we flag

Spend your practice time on Inferno

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust212–120.0814%18 Sept →
inferno13–8-0.0013%18 Sept →
ancient8–13-0.028%28 Aug →
mirage13–30.016%28 Aug →
mirage13–6-0.029%18 Aug →
dust210–130.0319%17 Aug →
ancient16–140.0510%11 Aug →
ancient13–6-0.000%9 Aug →
mirage9–130.039%8 Aug →
dust213–100.0515%8 Aug →
mirage1–9-0.050%4 Aug →
ancient13–60.0213%4 Aug →
anubis14–160.0714%2 Aug →
mirage5–13-0.048%2 Aug →
mirage13–6-0.0411%28 Jul →
mirage13–100.009%26 Jul →
dust213–20.0413%26 Jul →
dust216–130.0121%26 Jul →
dust216–130.129%21 Jul →
cache10–130.0211%21 Jul →
dust213–9-0.0015%19 Jul →
nuke10–13-0.0111%19 Jul →
inferno13–60.0114%17 Jul →
inferno9–13-0.039%15 Jul →
mirage2–130.0212%15 Jul →
nuke9–130.0414%12 Jul →
mirage13–70.0510%12 Jul →
inferno13–11-0.027%12 Jul →
anubis13–30.1111%12 Jul →
dust27–13-0.0121%12 Jul →
dust29–130.1124%9 Jul →
cache8–130.039%6 Jul →
anubis13–10-0.0210%6 Jul →
nuke14–160.008%6 Jul →
dust22–120.0421%3 Jul →
nuke4–4-0.1414%2 Jul →
dust216–14-0.0314%1 Jul →
nuke6–13-0.058%1 Jul →
mirage13–7-0.017%30 Jun →
cache6–13-0.059%30 Jun →
dust29–13-0.0010%30 Jun →
mirage5–13-0.0310%28 Jun →
cache13–100.0412%27 Jun →
nuke13–8-0.0914%26 Jun →
vertigo7–130.0916%26 Jun →
mirage9–130.0113%25 Jun →
dust22–13-0.107%25 Jun →
mirage13–60.0314%25 Jun →
inferno5–130.0927%25 Jun →
dust213–9-0.0116%25 Jun →
inferno6–130.0114%24 Jun →
ancient9–130.0722%24 Jun →
mirage13–60.0517%24 Jun →
anubis4–13-0.0712%24 Jun →
nuke13–16-0.069%22 Jun →
mirage13–8-0.028%22 Jun →
dust26–13-0.063%22 Jun →
ancient4–13-0.0212%21 Jun →
nuke13–40.109%21 Jun →
nuke13–1-0.018%21 Jun →
dust26–13-0.0610%20 Jun →
dust28–130.0614%20 Jun →
inferno8–80.1118%18 Jun →
mirage7–13-0.0523%18 Jun →
train6–13-0.0114%17 Jun →
nuke13–10-0.0311%17 Jun →
cache13–20.0810%16 Jun →
nuke13–11-0.0113%16 Jun →
cache13–90.0714%12 Jun →
dust216–140.0418%12 Jun →
inferno13–10-0.003%11 Jun →
inferno10–130.0014%11 Jun →
mirage8–130.029%11 Jun →
nuke5–13-0.007%11 Jun →
dust24–13-0.0323%11 Jun →
ancient13–7-0.0114%10 Jun →
inferno2–9-0.114%10 Jun →
nuke2–13-0.0820%4 Jun →
mirage7–00.0016%4 Jun →
dust213–50.0510%4 Jun →
mirage13–60.1014%29 May →
anubis11–13-0.0816%29 May →
mirage1–80.159%29 May →
dust29–13-0.0110%26 May →
cache2–130.1222%26 May →
cache13–70.1410%26 May →
ancient11–13-0.0515%25 May →
cache13–60.0211%19 May →
ancient13–90.0214%19 May →
dust213–50.0910%17 May →
cache2–9-0.0214%17 May →
dust216–140.0113%17 May →
dust28–13-0.0115%15 May →
nuke8–13-0.0717%14 May →
ancient13–110.0010%14 May →
nuke5–13-0.049%13 May →
dust213–50.0518%13 May →
mirage13–70.0210%13 May →
nuke13–110.0111%13 May →
inferno11–130.0313%10 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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