ohh boy

ohh boy — CS2 Stats

76561199436988373[U:1:1476722645]Steam profile ↗✓ No bans

631Tracked matches57%Win rate2023Tracked since
CSDB Rating3.5 LearningClutch Specialist
Premier CS Rating17,230Purple band · top ~19.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 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: 17,230 +1,485 2 Aug – 1 Nov · 25 days played
14,44218,919peak 18,9192 Aug1 Nov
19,271Peak Premier in tracked matches
37Days played since 2026-07-30

Premier CS Rating

  • 1,689 below peak (18,919)
  • +2,113 over 30 days · improving
  • +1,585 over 90 days
  • Next: Pink band at 20,000 — 2,770 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-17
  • Blue band first seen 2026-09-17

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

Share this profile

CSDB.GGohh boyPREMIER17,230 · Purple bandcsdb.gg/stats

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Performance scores

Aim39
Positioning38
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY42–56–2Last 10042%Win rateLWLLLLWLWW

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +2.3pp headshot accuracy · −28ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 552ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 563ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 577ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.4 against its own average).

Aim3.9
Utility3.4
Positioning3.8
Opening Duels0.0
Clutch4.2

Limited utility dependence

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

iM

Plays most like iM 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

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

Aim3.9
Positioning3.8
Utility3.4
Mechanics2.1
Opening Duels0.0
Win Impact7.2

Composite 3.5/10 (Learning), 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 rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time571ms−76ms
first ⅓ avg 647ms → last ⅓ avg 571ms
Headshot accuracy10.9%+0.8%
first ⅓ avg 10.0% → last ⅓ avg 10.9%

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

0.17Best match rating · 9–4 · nuke, 30 Jul →
30%Best headshot accuracy · 13–6 · anubis, 3 Oct →
375msFastest reaction time · 13–6 · mirage, 19 Oct →
13–1Biggest win · anubis, 6 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 53% over 15trainWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C219–1243%-0.04
mirageB178–947%-0.03
anubisB158–753%-0.03
nukeB136–746%-0.02
cacheD124–833%-0.04
ancientC83–538%-0.03
trainD72–529%-0.04
infernoD72–529%-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

27Matches
48%Win rate
0.98Avg K/D
78.3ADR
35%Headshot %

Clutches & streaks

41%1v1 clutch win
17%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust21155%0.9015.9
Mirage944%1.0113.9
Nuke367%1.4015.0
Ancient250%0.8510.0
Anubis10%0.477.0
Inferno10%1.1416.0

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

Skill profile

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

11.2%Headshot accuracy
32.9%Accuracy (enemy spotted)
35.2%Spray accuracy
59.5%Counter-strafing
10.3°Preaim
583msReaction time
24.4%T opening success
27.8%CT opening success
0.33Enemies flashed / flash
1.9%Flash assists
7.20HE damage / grenade
4.03Flashes / 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 11.1598% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3279 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 24.4335% — below the 40% mark we flag

Spend your practice time on Train

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0515%1 Nov →
cache13–90.023%1 Nov →
ancient9–13-0.0314%1 Nov →
ancient10–13-0.066%31 Oct →
nuke6–130.037%31 Oct →
dust29–13-0.0519%31 Oct →
anubis13–10-0.049%31 Oct →
anubis11–13-0.0016%26 Oct →
cache13–2-0.0428%26 Oct →
train13–5-0.0710%23 Oct →
dust213–9-0.0513%21 Oct →
mirage13–60.1219%19 Oct →
mirage3–13-0.084%16 Oct →
nuke13–6-0.0311%16 Oct →
train10–13-0.057%14 Oct →
train8–13-0.074%14 Oct →
anubis13–7-0.0215%11 Oct →
nuke13–40.0015%11 Oct →
dust213–9-0.029%10 Oct →
dust25–13-0.077%10 Oct →
dust210–13-0.080%9 Oct →
nuke5–9-0.118%9 Oct →
train13–30.0611%8 Oct →
cache8–130.0216%7 Oct →
train10–130.0118%7 Oct →
mirage13–4-0.0511%7 Oct →
cache13–10-0.109%7 Oct →
ancient13–7-0.0114%6 Oct →
inferno13–10-0.0313%6 Oct →
anubis13–10.0117%6 Oct →
mirage13–7-0.033%6 Oct →
cache7–13-0.058%6 Oct →
cache0–2-0.100%6 Oct →
mirage13–70.0612%5 Oct →
dust213–9-0.0816%5 Oct →
anubis13–5-0.066%5 Oct →
nuke13–1-0.0011%5 Oct →
anubis13–11-0.065%3 Oct →
train6–13-0.0417%3 Oct →
anubis13–60.1130%3 Oct →
ancient13–6-0.0518%3 Oct →
inferno13–30.0213%29 Sept →
ancient15–15-0.0411%29 Sept →
nuke13–5-0.0311%29 Sept →
mirage11–130.029%29 Sept →
inferno15–15-0.047%29 Sept →
inferno3–130.010%27 Sept →
inferno13–16-0.0713%27 Sept →
dust28–13-0.023%27 Sept →
nuke10–130.0119%27 Sept →
inferno8–13-0.0210%27 Sept →
dust213–7-0.007%27 Sept →
ancient2–50.0617%27 Sept →
anubis13–2-0.0218%27 Sept →
cache4–13-0.0311%27 Sept →
dust213–11-0.0511%18 Sept →
mirage4–13-0.117%18 Sept →
mirage13–4-0.0213%9 Sept →
dust22–10-0.097%6 Sept →
dust28–13-0.0610%6 Sept →
anubis4–13-0.0513%5 Sept →
anubis6–13-0.0313%5 Sept →
anubis6–13-0.086%4 Sept →
dust211–13-0.0213%4 Sept →
dust213–60.0015%4 Sept →
dust29–13-0.114%4 Sept →
anubis11–13-0.043%4 Sept →
train0–3-0.110%3 Sept →
ancient16–14-0.042%30 Aug →
cache13–40.0611%26 Aug →
anubis13–8-0.0617%26 Aug →
dust213–10-0.0811%26 Aug →
mirage7–13-0.0714%13 Aug →
ancient6–13-0.0810%11 Aug →
mirage13–100.0110%9 Aug →
nuke7–13-0.044%9 Aug →
cache6–13-0.0110%8 Aug →
cache4–13-0.107%7 Aug →
dust25–13-0.079%7 Aug →
dust27–13-0.0313%7 Aug →
dust213–11-0.0017%7 Aug →
mirage6–13-0.029%7 Aug →
mirage6–13-0.0812%4 Aug →
nuke16–14-0.069%4 Aug →
mirage7–130.0111%3 Aug →
mirage13–10-0.017%2 Aug →
dust210–10.0925%2 Aug →
mirage13–10-0.0114%2 Aug →
nuke11–13-0.025%1 Aug →
anubis6–13-0.0412%1 Aug →
nuke9–13-0.0511%1 Aug →
cache5–13-0.079%1 Aug →
nuke6–13-0.103%31 Jul →
dust211–13-0.0619%31 Jul →
mirage5–13-0.137%31 Jul →
anubis3–13-0.1116%31 Jul →
cache3–13-0.069%31 Jul →
inferno4–9-0.170%30 Jul →
nuke9–40.1714%30 Jul →
mirage5–13-0.105%30 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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