DODO BEN OGO

DODO BEN OGO — CS2 Stats

NG76561199696798463[U:1:1736532735]Steam profile ↗✓ No bans

452Tracked matches57%Win rate2024Tracked since
340Hours in CS5Hrs last 2 wks
CSDB Rating6.2 SolidAll-Rounder
Premier CS Rating4,745Grey band · top ~79.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 4,745 +1,472 16 Apr – 17 Oct · 43 days played
1,5364,745peak 4,74516 Apr17 Oct
4,955Peak Premier in tracked matches
53Days played since 2026-04-16

Premier CS Rating

  • At peak — 4,745
  • +717 over 30 days · improving
  • Next: Light Blue band at 5,000 — 255 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate49.6%38.2%39.9%above
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio1.150.830.92above
Match win rate31.0%40.2%42.3%11.3% short

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGDODO BEN OGOPREMIER4,745 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim86
Positioning61
Utility58

0–100 skill scores via Leetify.

Recent form

HOT41–57–2Last 10041%Win rateLWWWWLLWWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +5.6pp headshot accuracy · +23ms reaction

Win rate +10pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.11
  • Avg headshot accuracy 25%
  • Avg reaction 600ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 24%
  • Avg reaction 607ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 21%
  • Avg reaction 595ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.6
Utility5.8
Positioning6.1
Opening Duels4.8

Sharp aimerStrong 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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 578ms 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

Aim8.6
Positioning6.1
Utility5.8
Mechanics6.8
Opening Duels5.0
Win Impact7.2

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.06+0.02
first ⅓ avg 0.04 → last ⅓ avg 0.06
Reaction time586ms−53ms
first ⅓ avg 639ms → last ⅓ avg 586ms
Headshot accuracy23.3%−0.3%
first ⅓ avg 23.6% → last ⅓ avg 23.3%

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

0.26Best match rating · 13–8 · anubis, 15 May →
100%Best headshot accuracy · 2–5 · nuke, 20 Jun →
406msFastest reaction time · 9–13 · inferno, 27 Jun →
13–0Biggest win · dust2, 22 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–17In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 65% over 31nukeWeakest map · 17% over 30
MapGradePlayedRecordWin rateAvg rating
dust2S3120–1165%0.08
nukeD305–2517%0.01
infernoC187–1139%0.06
mirageC114–736%0.03
anubisC52–340%0.08
ancient—32–167%0.07
cache—11–0100%-0.02
overpass—10–10%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 30). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,934Lifetime kills
1.15K/D · Top 10% of Grey band
843Matches
31.0%Match win rate
49.6%Headshot % · Top 10% of Grey band
0.0%Shot accuracy
1,389MVPs
222Hours (in match)
435Bombs planted
99Bombs defused

Most-used weapons

Lifetime map wins

1,685dust2
767inferno
491nuke
135train
51office
51ar_shoots
43vertigo
11ar_baggage

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.

24.2%Headshot accuracy
39.4%Accuracy (enemy spotted)
42.0%Spray accuracy
80.7%Counter-strafing
9.7°Preaim
578msReaction time
42.5%T opening success
57.4%CT opening success
0.57Enemies flashed / flash
6.2%Flash assists
8.42HE damage / grenade
15.09Flashes / match

Recommended for you

Spend your practice time on Nuke

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

17% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–130.1221%17 Oct →
dust213–50.0838%17 Oct →
dust213–110.1823%17 Oct →
dust213–60.0920%11 Oct →
inferno13–50.0624%10 Oct →
mirage6–13-0.0527%10 Oct →
dust28–130.0220%10 Oct →
dust213–60.0521%6 Oct →
dust213–80.2219%28 Sept →
dust213–6-0.0326%28 Sept →
anubis6–13-0.0223%28 Sept →
cache13–11-0.0213%27 Sept →
mirage13–2-0.0710%22 Sept →
dust213–00.048%22 Sept →
inferno13–50.0920%22 Sept →
nuke13–160.0320%29 Aug →
dust213–110.1923%29 Aug →
dust213–30.0619%22 Aug →
dust211–130.1230%20 Aug →
nuke6–80.0517%20 Aug →
mirage10–13-0.0229%20 Aug →
inferno13–30.0842%19 Aug →
inferno9–130.0830%18 Aug →
nuke12–160.0236%14 Aug →
nuke5–5-0.020%12 Aug →
dust25–130.0132%12 Aug →
ancient13–80.1137%11 Aug →
dust213–80.1320%11 Aug →
dust211–13-0.0120%5 Aug →
inferno16–13-0.0033%5 Aug →
dust213–10.2227%1 Aug →
mirage10–90.2126%1 Aug →
mirage3–13-0.0018%31 Jul →
dust213–50.1721%30 Jul →
dust213–50.2129%25 Jul →
dust213–00.0314%16 Jul →
inferno13–90.1233%16 Jul →
dust213–70.0332%11 Jul →
nuke8–13-0.0645%11 Jul →
dust213–70.0237%9 Jul →
nuke14–160.0239%9 Jul →
dust215–150.0626%3 Jul →
inferno13–60.1215%3 Jul →
nuke8–13-0.0340%3 Jul →
dust211–130.0123%28 Jun →
overpass12–70.0318%27 Jun →
inferno9–130.0213%27 Jun →
nuke9–13-0.0130%27 Jun →
mirage13–90.0336%24 Jun →
anubis7–70.0431%22 Jun →
nuke4–50.128%22 Jun →
nuke9–8-0.1017%22 Jun →
mirage7–130.0522%21 Jun →
nuke13–110.0724%21 Jun →
dust213–80.0539%21 Jun →
dust212–60.1327%20 Jun →
nuke3–130.0716%20 Jun →
nuke2–5-0.05100%20 Jun →
mirage10–60.0828%20 Jun →
dust215–15-0.0322%18 Jun →
mirage10–130.0322%18 Jun →
inferno6–90.1431%8 Jun →
ancient5–80.0419%8 Jun →
inferno12–160.0613%8 Jun →
nuke8–130.0050%6 Jun →
mirage11–13-0.0621%5 Jun →
nuke8–130.0428%3 Jun →
inferno12–160.050%3 Jun →
nuke10–130.0426%31 May →
nuke11–13-0.0564%31 May →
dust212–110.0217%30 May →
anubis12–80.1138%29 May →
inferno1–9-0.0633%29 May →
nuke13–50.0219%28 May →
mirage13–100.0931%27 May →
ancient13–110.0622%22 May →
nuke3–7-0.055%22 May →
nuke1–7-0.040%22 May →
dust213–90.0721%20 May →
inferno11–13-0.0825%20 May →
nuke13–40.0425%18 May →
nuke6–130.0421%18 May →
nuke0–50.0444%16 May →
nuke12–130.0822%15 May →
anubis13–80.2620%15 May →
inferno9–60.060%10 May →
dust213–40.0426%9 May →
nuke13–50.0928%9 May →
nuke11–130.0150%7 May →
inferno9–130.0333%6 May →
anubis13–3-0.0215%6 May →
inferno13–50.0225%26 Apr →
nuke3–10-0.010%26 Apr →
dust213–40.1237%26 Apr →
inferno11–130.0725%24 Apr →
nuke13–20.1016%24 Apr →
nuke10–13-0.0010%17 Apr →
dust210–130.1620%17 Apr →
nuke8–13-0.0250%16 Apr →
dust25–130.0710%16 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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