Stimo

Stimo — CS2 Stats

76561198072548874[U:1:112283146]Steam profile ↗✓ No bans

548Tracked matches59%Win rate2020Tracked since
2,277Hours in CS26Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating17,447Purple band · top ~18.7% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (11 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: 17,447 +2,646 27 Jul – 30 Sept · 22 days played
14,50417,447peak 17,44727 Jul30 Sept
17,447Peak Premier in tracked matches
42Days played since 2026-07-27

Premier CS Rating

  • At peak — 17,447
  • +1,347 over 30 days · improving
  • Next: Pink band at 20,000 — 2,553 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate39.7%44.3%46.9%7.2% short
Shot accuracy11.5%11.9%13.0%1.5% short
Kill/death ratio1.031.031.080.05 short
Match win rate45.7%45.2%46.7%0.9% short

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

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

Share this profile

CSDB.GGStimoPREMIER17,447 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning62
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY55–37–8Last 10055%Win rateWWLWWLTWLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +2.9pp headshot accuracy · −4ms 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 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 514ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 527ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 529ms

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: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim6.7
Utility4.6
Positioning6.2
Opening Duels3.9
Clutch5.4

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

jL

Plays most like jL 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim6.7
Positioning6.2
Utility4.6
Mechanics5.0
Opening Duels5.3
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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time524ms−107ms
first ⅓ avg 631ms → last ⅓ avg 524ms
Headshot accuracy14.8%−2.7%
first ⅓ avg 17.5% → last ⅓ avg 14.8%

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

0.20Best match rating · 13–9 · cache, 26 Aug →
39%Best headshot accuracy · 4–13 · train, 14 Aug →
406msFastest reaction time · 8–13 · ancient, 30 Sept →
13–0Biggest win · cache, 28 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
7–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 80% over 10dust2Weakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
cacheC198–1142%0.00
infernoA149–564%0.00
anubisS128–467%0.03
ancientS108–280%0.04
vertigoC104–640%0.01
trainB84–450%0.01
dust2C83–538%-0.02
nukeB63–350%-0.01
mirageB63–350%-0.02
office—42–250%0.03
italy—11–0100%0.03
overpass—11–0100%-0.01
debris—11–0100%0.18

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,052Lifetime kills
1.03K/D
2,014Matches
45.7%Match win rate · Top 50% of Purple band
39.7%Headshot %
11.5%Shot accuracy
3,980MVPs
987Hours (in match)
2,206Bombs planted
424Bombs defused

Most-used weapons

Lifetime map wins

3,194inferno
3,153dust2
1,632nuke
646train
393cbble
273vertigo
197lake
164office

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

Faceit stats

Combat

106Matches
55%Win rate
1.05Avg K/D
74.3ADR
40%Headshot %

Clutches & streaks

47%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1850%0.9614.0
Nuke1850%1.2013.9
Ancient1776%1.0615.8
Anubis1747%1.0013.9
Mirage1250%1.0414.3
Cache967%1.0613.7
Dust260%0.5810.3
Overpass580%1.3115.4

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.

14.8%Headshot accuracy
36.6%Accuracy (enemy spotted)
38.0%Spray accuracy
72.4%Counter-strafing
10.3°Preaim
528msReaction time
55.8%T opening success
46.4%CT opening success
0.39Enemies flashed / flash
4.5%Flash assists
9.00HE damage / grenade
4.44Flashes / 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 14.7742% — 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 0.3904 — below the 0.5 mark we flag

    Grenade Lineups →
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.

38% win rate across 8 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
train13–70.0511%10 Oct →
train13–50.0715%10 Oct →
ancient10–130.0114%9 Oct →
italy13–80.0315%9 Oct →
train13–70.0216%9 Oct →
train6–13-0.0522%9 Oct →
inferno12–120.0923%9 Oct →
ancient13–80.0613%1 Oct →
ancient8–13-0.0219%30 Sept →
inferno16–13-0.0315%30 Sept →
cache13–7-0.0816%28 Sept →
inferno7–13-0.0114%26 Sept →
vertigo10–13-0.0120%26 Sept →
inferno6–13-0.0716%25 Sept →
inferno13–5-0.019%25 Sept →
ancient13–90.076%25 Sept →
vertigo13–10-0.034%25 Sept →
inferno13–11-0.0513%25 Sept →
anubis5–13-0.0215%25 Sept →
vertigo5–13-0.0120%24 Sept →
vertigo6–3-0.0533%24 Sept →
vertigo6–130.087%24 Sept →
vertigo8–130.0916%23 Sept →
anubis13–90.0116%23 Sept →
inferno9–7-0.0516%22 Sept →
inferno6–130.0612%22 Sept →
cache13–6-0.0512%22 Sept →
dust20–13-0.0817%22 Sept →
ancient13–80.0210%20 Sept →
cache13–7-0.0528%20 Sept →
inferno13–80.0710%18 Sept →
dust215–15-0.0311%18 Sept →
cache4–13-0.085%18 Sept →
anubis12–120.0211%18 Sept →
anubis13–30.0524%18 Sept →
cache13–11-0.0110%17 Sept →
nuke13–90.0111%17 Sept →
anubis13–7-0.0113%17 Sept →
anubis13–50.0318%17 Sept →
anubis5–13-0.0215%16 Sept →
cache15–150.0119%14 Sept →
anubis13–110.0014%12 Sept →
office13–8-0.0115%4 Sept →
nuke13–20.0710%4 Sept →
office11–130.0617%3 Sept →
office13–30.0820%3 Sept →
inferno13–90.0613%2 Sept →
mirage5–13-0.1210%2 Sept →
cache8–130.0018%1 Sept →
ancient13–20.0617%1 Sept →
cache13–10.155%31 Aug →
mirage3–13-0.0115%31 Aug →
cache8–13-0.0125%30 Aug →
cache12–12-0.0213%30 Aug →
ancient13–20.0812%29 Aug →
dust24–13-0.0714%29 Aug →
cache12–12-0.0217%29 Aug →
cache8–13-0.069%28 Aug →
anubis13–50.0825%28 Aug →
cache6–130.0219%28 Aug →
inferno13–40.1028%28 Aug →
cache13–00.0513%28 Aug →
ancient13–10-0.027%27 Aug →
inferno13–3-0.0114%27 Aug →
cache7–13-0.0521%27 Aug →
cache13–90.2016%26 Aug →
nuke16–140.0415%24 Aug →
ancient13–60.1122%24 Aug →
overpass13–4-0.0112%23 Aug →
office10–13-0.0011%23 Aug →
nuke11–13-0.0125%22 Aug →
anubis13–30.0821%22 Aug →
mirage13–11-0.0318%22 Aug →
ancient13–40.0516%21 Aug →
mirage4–13-0.0128%21 Aug →
dust213–20.0916%21 Aug →
anubis13–60.1214%20 Aug →
train8–13-0.060%15 Aug →
train4–130.0139%14 Aug →
anubis8–13-0.0420%14 Aug →
train10–13-0.0216%13 Aug →
train13–20.1036%13 Aug →
nuke11–130.0321%13 Aug →
cache5–13-0.0411%13 Aug →
vertigo13–9-0.026%6 Aug →
dust210–13-0.0413%6 Aug →
cache13–90.0217%5 Aug →
mirage13–30.0219%5 Aug →
dust21–13-0.053%5 Aug →
debris9–10.1824%3 Aug →
nuke1–9-0.1920%3 Aug →
dust213–6-0.009%3 Aug →
inferno13–11-0.0417%2 Aug →
vertigo13–80.0716%1 Aug →
vertigo4–13-0.0118%1 Aug →
inferno2–13-0.0720%31 Jul →
cache15–150.0419%31 Jul →
vertigo12–120.0318%31 Jul →
mirage13–30.0411%28 Jul →
dust213–100.0322%27 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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