OT9

OT9 — CS2 Stats

AR76561198080685561[U:1:120419833]Steam profile ↗✓ No bans

499Tracked matches40%Win rate2022Tracked since
690Hours in CS15Hrs last 2 wks
CSDB Rating3.5 LearningSupport
Premier CS Rating13,235Blue band · top ~37.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

−541Premier CS Rating · 13,776 → 13,235

Rating over time

Premier CS Rating: 13,235 +1,653 22 May – 14 Nov · 38 days played
10,01515,375peak 15,37522 May14 Nov
15,480Peak Premier in tracked matches
52Days played since 2026-05-22

Premier CS Rating

  • 2,140 below peak (15,375)
  • -1,276 over 30 days · declining
  • -2,140 over 90 days
  • Next: Purple band at 15,000 — 1,765 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate42.5%42.0%44.4%1.9% short
Shot accuracy1.0%9.6%11.9%10.9% short
Kill/death ratio0.750.981.030.28 short
Match win rate44.7%43.8%45.2%meets

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGOT9PREMIER13,235 · Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning48
Utility52

0–100 skill scores via Leetify.

Recent form

COLD50–47–3Last 10050%Win rateLLLLWLLLWL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −4.1pp headshot accuracy · −26ms 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 10%
  • Avg reaction 546ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 541ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 554ms

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 (+1.7 against its own average).

Aim3.4
Utility5.2
Positioning4.8
Opening Duels1.4
Clutch2.6

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

Twistzz

Plays most like Twistzz 65% 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

CT openings. Opening success drops from 53% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 566ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim3.4
Positioning4.8
Utility5.2
Mechanics2.9
Opening Duels3.4
Win Impact1.7

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time560ms−56ms
first ⅓ avg 616ms → last ⅓ avg 560ms
Headshot accuracy12.0%−1.8%
first ⅓ avg 13.8% → last ⅓ avg 12.0%

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

0.10Best match rating · 5–0 · nuke, 8 Aug →
29%Best headshot accuracy · 8–13 · nuke, 20 Jun →
406msFastest reaction time · 5–0 · nuke, 8 Aug →
13–0Biggest win · inferno, 28 Jun →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L4Current streak
9–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 75% over 16dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB3215–1747%-0.03
nukeB179–853%-0.02
anubisS1612–475%-0.02
ancientA1610–663%-0.02
dust2D91–811%-0.05
mirageD82–625%-0.03
overpass—21–150%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,884Lifetime kills
0.75K/D
854Matches
44.7%Match win rate · Top 50% of Blue band
42.5%Headshot % · Top 50% of Blue band
1.0%Shot accuracy
1,204MVPs
342Hours (in match)
595Bombs planted
176Bombs defused

Most-used weapons

Lifetime map wins

2,208inferno
1,531nuke
748dust2
347vertigo
160train
12office
12lake
1ar_shoots

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

Faceit stats

Combat

13Matches
31%Win rate
0.72Avg K/D
58.7ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno633%0.6610.3
Vertigo250%0.7110.0
Nuke20%0.8814.0
Ancient250%0.8013.5
Anubis10%0.6712.0

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.

11.8%Headshot accuracy
30.6%Accuracy (enemy spotted)
29.7%Spray accuracy
63.1%Counter-strafing
11.0°Preaim
566msReaction time
53.2%T opening success
34.1%CT opening success
0.45Enemies flashed / flash
2.4%Flash assists
8.75HE damage / grenade
7.15Flashes / 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 11.7805% — 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 0.4521 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.1178% — below the 40% mark we flag

Spend your practice time on Dust 2

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0613%14 Nov →
anubis4–13-0.079%14 Nov →
inferno11–13-0.003%11 Nov →
mirage12–16-0.0014%11 Nov →
inferno13–40.0413%9 Nov →
inferno11–13-0.0515%9 Nov →
anubis11–13-0.0212%8 Nov →
anubis5–13-0.024%5 Nov →
inferno13–10-0.0412%1 Nov →
inferno11–13-0.069%1 Nov →
dust29–13-0.0713%31 Oct →
dust27–13-0.0215%29 Oct →
ancient10–13-0.0215%17 Oct →
nuke13–30.0614%10 Oct →
ancient13–30.0212%10 Oct →
dust25–13-0.0714%8 Oct →
anubis13–9-0.0114%4 Oct →
dust216–14-0.0517%4 Oct →
inferno10–13-0.0313%4 Oct →
mirage2–13-0.0617%3 Oct →
dust25–13-0.0410%3 Oct →
mirage5–13-0.073%2 Oct →
ancient13–11-0.0617%27 Sept →
mirage8–13-0.0311%24 Sept →
inferno13–11-0.0815%20 Sept →
ancient22–20-0.095%19 Sept →
inferno22–19-0.0212%19 Sept →
inferno10–13-0.0411%12 Sept →
nuke16–13-0.0111%12 Sept →
ancient13–6-0.0213%12 Sept →
inferno9–13-0.0714%12 Sept →
nuke12–16-0.0511%6 Sept →
anubis13–10-0.0716%6 Sept →
anubis16–13-0.016%30 Aug →
nuke6–13-0.086%29 Aug →
anubis8–13-0.0318%29 Aug →
nuke0–130.010%22 Aug →
inferno5–13-0.069%22 Aug →
mirage5–13-0.0617%18 Aug →
ancient13–9-0.0017%18 Aug →
inferno7–13-0.0116%10 Aug →
nuke5–00.100%8 Aug →
anubis13–10-0.0213%8 Aug →
inferno11–13-0.0315%8 Aug →
anubis12–40.018%1 Aug →
nuke13–6-0.0510%31 Jul →
nuke5–13-0.079%31 Jul →
anubis13–5-0.0211%31 Jul →
nuke13–50.0611%30 Jul →
anubis13–11-0.0612%30 Jul →
inferno4–00.050%30 Jul →
inferno13–6-0.0513%30 Jul →
anubis13–9-0.0413%25 Jul →
inferno13–90.0312%25 Jul →
inferno13–10-0.0210%25 Jul →
ancient13–7-0.0111%24 Jul →
anubis13–9-0.024%24 Jul →
inferno10–130.0018%23 Jul →
nuke11–13-0.037%23 Jul →
dust26–13-0.104%19 Jul →
inferno5–13-0.073%18 Jul →
inferno13–5-0.038%16 Jul →
ancient8–13-0.068%15 Jul →
inferno13–70.039%14 Jul →
dust27–13-0.0213%6 Jul →
mirage13–7-0.0220%6 Jul →
nuke13–5-0.046%5 Jul →
ancient13–11-0.037%5 Jul →
ancient13–70.039%5 Jul →
inferno13–7-0.056%4 Jul →
dust27–13-0.0417%4 Jul →
anubis13–50.0113%4 Jul →
ancient13–10-0.0111%4 Jul →
inferno11–13-0.0310%4 Jul →
nuke13–11-0.0224%4 Jul →
nuke16–130.008%28 Jun →
inferno10–13-0.078%28 Jun →
nuke3–13-0.0817%28 Jun →
inferno13–00.0311%28 Jun →
ancient4–13-0.0311%21 Jun →
nuke8–13-0.0529%20 Jun →
inferno13–110.0314%20 Jun →
overpass13–6-0.0220%8 Jun →
nuke13–7-0.0515%7 Jun →
inferno15–15-0.058%4 Jun →
mirage3–13-0.0314%1 Jun →
ancient6–13-0.0220%31 May →
inferno13–30.0213%31 May →
ancient11–13-0.064%31 May →
inferno15–15-0.0415%31 May →
ancient13–6-0.0411%31 May →
ancient9–130.0015%31 May →
mirage13–50.0319%31 May →
inferno13–10.0110%31 May →
anubis13–50.0314%31 May →
anubis13–11-0.0422%30 May →
inferno3–13-0.1411%25 May →
overpass2–13-0.0720%23 May →
inferno15–15-0.0321%23 May →
nuke6–13-0.118%22 May →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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