Stimming

Stimming — CS2 Stats

GB76561198351594925[U:1:391329197]Steam profile ↗✓ No bans

783Tracked matches43%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (55 days ago). Ranks are recorded once per day this page is viewed.

+13Tracked matches · now 783
−4.9ppWin rate · 48.3% → 43.3%

Rating over time

Premier CS Rating: 14,206 -316 12 May – 3 Jul · 14 days played
12,55614,882peak 14,88212 May3 Jul
14,999Peak Premier in tracked matches
28Days played since 2026-05-08

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

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CSDB.GGStimmingFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim52
Positioning49
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWLWLLLWLLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +5.1pp headshot accuracy · −45ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 641ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 637ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 659ms

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 (+1.3 against its own average).

Aim5.2
Utility3.4
Positioning4.9
Opening Duels2.6

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 680ms 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

Aim5.2
Positioning4.9
Utility3.4
Mechanics7.7
Opening Duels3.0
Win Impact2.8

Composite 4.8/10 (Developing), 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-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time671ms−67ms
first ⅓ avg 738ms → last ⅓ avg 671ms
Headshot accuracy18.5%+2.1%
first ⅓ avg 16.4% → last ⅓ avg 18.5%

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 · 13–4 · inferno, 3 Jul →
35%Best headshot accuracy · 13–10 · inferno, 16 Jun →
453msFastest reaction time · 13–4 · overpass, 30 Jun →
13–1Biggest win · alpine, 8 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 82% over 11dust2Weakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2D175–1229%-0.01
nukeB168–850%-0.00
mirageC146–843%-0.01
infernoD124–833%0.02
cacheS119–282%-0.02
overpassS86–275%-0.02
ancientD72–529%-0.01
anubisS54–180%-0.02
shelter—31–233%-0.06
boulder—32–167%-0.04
vertigo—11–0100%0.05
fachwerk—10–10%-0.06
train—10–10%0.04
alpine—11–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

18.4%Headshot accuracy
30.7%Accuracy (enemy spotted)
30.2%Spray accuracy
84.8%Counter-strafing
10.3°Preaim
680msReaction time
44.8%T opening success
39.6%CT opening success
0.44Enemies flashed / flash
8.9%Flash assists
6.35HE damage / grenade
2.61Flashes / 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. 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 0.441 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 39.5582% — 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.

29% win rate across 17 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
shelter13–11-0.0522%22 Oct →
inferno10–130.0233%20 Oct →
inferno13–30.0510%20 Oct →
dust25–13-0.0718%10 Oct →
nuke2–13-0.0433%9 Oct →
ancient4–13-0.0724%7 Oct →
nuke13–3-0.0019%7 Oct →
ancient14–160.0119%3 Oct →
dust27–13-0.0113%3 Oct →
cache13–40.0218%3 Oct →
dust29–13-0.0121%3 Oct →
cache16–13-0.0213%3 Oct →
anubis13–8-0.0314%3 Oct →
inferno5–13-0.0212%12 Aug →
dust26–13-0.0111%12 Aug →
anubis13–5-0.0121%12 Aug →
nuke2–13-0.0419%12 Aug →
vertigo13–30.0520%12 Aug →
shelter8–13-0.0910%8 Aug →
fachwerk9–13-0.0619%8 Aug →
boulder9–10-0.0114%8 Aug →
boulder13–2-0.0714%8 Aug →
mirage13–90.0526%15 Jul →
cache13–60.0422%15 Jul →
shelter9–13-0.0416%14 Jul →
boulder8–13-0.0424%14 Jul →
dust211–130.0214%3 Jul →
dust24–130.0227%3 Jul →
overpass8–13-0.1315%3 Jul →
mirage13–6-0.0615%3 Jul →
inferno13–40.1517%3 Jul →
overpass3–13-0.0615%30 Jun →
overpass13–4-0.0126%30 Jun →
inferno12–160.0429%30 Jun →
anubis7–1-0.0410%30 Jun →
inferno5–13-0.0518%26 Jun →
nuke12–10.1115%26 Jun →
anubis13–50.0114%26 Jun →
inferno15–150.0719%26 Jun →
overpass13–30.1026%26 Jun →
anubis8–13-0.0416%25 Jun →
dust28–13-0.0327%25 Jun →
mirage8–30.0525%25 Jun →
nuke13–40.0524%25 Jun →
nuke13–70.0324%25 Jun →
dust216–130.0816%21 Jun →
mirage13–60.0317%21 Jun →
nuke13–8-0.0111%21 Jun →
mirage7–13-0.0115%21 Jun →
inferno13–40.0423%20 Jun →
mirage13–16-0.0612%20 Jun →
nuke13–3-0.024%20 Jun →
dust27–13-0.0414%20 Jun →
inferno9–130.0313%16 Jun →
dust26–13-0.0519%16 Jun →
inferno13–10-0.0335%16 Jun →
nuke14–16-0.0117%16 Jun →
mirage8–130.0214%16 Jun →
overpass16–14-0.0217%13 Jun →
ancient13–100.0119%13 Jun →
ancient14–160.0119%13 Jun →
ancient13–30.0512%13 Jun →
dust28–13-0.0316%13 Jun →
ancient6–13-0.0510%10 Jun →
dust213–110.0122%10 Jun →
nuke13–50.1415%10 Jun →
inferno10–130.0017%9 Jun →
dust28–13-0.0419%9 Jun →
mirage10–130.0320%9 Jun →
mirage13–7-0.0215%9 Jun →
dust26–130.0410%9 Jun →
nuke6–13-0.0717%30 May →
mirage10–13-0.0313%30 May →
mirage7–13-0.0814%30 May →
dust213–7-0.0318%29 May →
mirage10–13-0.0522%29 May →
inferno6–13-0.0315%29 May →
mirage13–60.0314%29 May →
train6–130.0414%24 May →
cache13–11-0.049%24 May →
cache12–12-0.0225%24 May →
mirage8–13-0.0523%24 May →
nuke5–13-0.0714%24 May →
dust213–110.0125%24 May →
cache13–11-0.0511%22 May →
overpass13–100.029%22 May →
nuke7–130.0222%22 May →
cache13–11-0.0414%18 May →
cache4–13-0.0716%18 May →
dust213–4-0.0112%12 May →
overpass13–9-0.0620%12 May →
overpass13–11-0.0018%12 May →
nuke11–13-0.0519%12 May →
nuke12–160.0215%12 May →
cache13–10-0.0120%10 May →
cache13–80.0114%10 May →
alpine13–1-0.0214%8 May →
cache13–6-0.0135%8 May →
ancient9–13-0.056%8 May →
nuke13–7-0.0611%8 May →

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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