gestohlen

gestohlen — CS2 Stats

DE76561198263476071[U:1:303210343]Steam profile ↗✓ No bans

1,250Tracked matches55%Win rate2020Tracked since
2,999Hours in CS2Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
CSDB Leaderboard#24215 of 232068 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 53 days played since 24 Sep 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 24,646 +1,721 24 Sept22 May · 21 days played
22,56325,113peak 25,11324 Sept22 May
25,113Peak Premier in tracked matches
2,142Highest Faceit ELO seen on CSDB
53Days played since 2025-09-24

Faceit ELO

  • At peak — 2,142
  • Next: 2,500 ELO at 2,500 358 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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

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CSDB.GGgestohlenPEAK ELO2,142csdb.gg/stats

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Performance scores

Aim91
Positioning64
Utility47

0–100 skill scores via Leetify.

Recent form

HOT57412Last 10057%Win rateWWWLWLWWWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −4.8pp headshot accuracy · −23ms 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

  • 41 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 28%
  • Avg reaction 533ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 521ms

Last 20

  • 146 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 533ms

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 PlayerPositioning stands above the rest of this profile (+1.6 against its own average).

Aim9.1
Utility4.7
Positioning6.4
Opening Duels4.8
Clutch3.2

Sharp aimer

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

ropz

Plays most like ropz 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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 91 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.1
Positioning6.4
Utility4.7
Mechanics8.4
Opening Duels3.5
Win Impact6.7

Composite 7.0/10 (Strong), 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 rating0.02+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time547ms−74ms
first ⅓ avg 621ms → last ⅓ avg 547ms
Headshot accuracy25.6%−0.0%
first ⅓ avg 25.7% → last ⅓ avg 25.6%

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

0.13Best match rating · 13–2 · ancient, 26 Jan
48%Best headshot accuracy · 13–9 · dust2, 12 Jan
383msFastest reaction time · 13–6 · inferno, 22 May
13–2Biggest win · cache, 3 May

Across the last 100 tracked matches.

Highlights

10Longest win streak
W3Current streak
196In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 79% over 14mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientA30171357%0.02
cacheS1711665%0.02
dust2S1711665%0.01
infernoS1411379%0.02
overpassC114736%-0.01
mirageD61517%-0.01
train21150%0.01
anubis1010%0.03
nuke110100%0.04
palacio1010%-0.08

Across the last 100 tracked matches.

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

Lifetime stats

116,681Lifetime kills
1.51K/D · Top 5% of tracked players
3,656Matches
41.6%Match win rate
61.0%Headshot % · Top 5% of tracked players
10.3%Shot accuracy
8,629MVPs
1,654Hours (in match)
3,261Bombs planted
1,301Bombs defused

Most-used weapons

AK-4760,265
AWP18,298
SSG 082,468
Tec-91,023
P250908
Knife847

Lifetime map wins

3,878dust2
3,138inferno
837cbble
766nuke
548vertigo
397train
136office
24safehouse

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

Faceit stats

Combat

367Matches
57%Win rate
1.13Avg K/D
76.1ADR
54%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient10269%1.1215.0
Dust26148%1.0916.4
Inferno4844%1.1015.7
Anubis3647%1.0515.2
Mirage3560%1.1415.2
Overpass2458%1.2814.6
Nuke2055%1.1614.2
Cache1369%1.3215.9

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.

26.0%Headshot accuracy
36.3%Accuracy (enemy spotted)
39.1%Spray accuracy
87.8%Counter-strafing
7.4°Preaim
540msReaction time
38.0%T opening success
49.7%CT opening success
0.46Enemies flashed / flash
4.4%Flash assists
13.86HE damage / grenade
5.61Flashes / 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 0.4641 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 37.9988% — below the 40% mark we flag

Spend your practice time on Mirage

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 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–80.1344%15 Sept
inferno16–130.0725%15 Sept
dust213–80.0521%7 Aug
dust210–130.0323%6 Aug
cache13–110.0525%6 Aug
ancient14–16-0.0421%31 Jul
ancient13–110.0118%26 Jul
ancient13–40.1119%26 Jul
dust213–60.0220%23 Jul
mirage11–130.0229%23 Jul
ancient7–130.0223%20 Jul
dust213–110.0126%20 Jul
cache13–40.0224%12 Jul
dust213–110.0431%28 May
cache13–100.0529%26 May
dust213–100.0134%24 May
dust29–130.0331%24 May
inferno6–13-0.0642%24 May
ancient13–100.0224%24 May
inferno13–60.0430%22 May
cache10–13-0.0128%21 May
cache9–13-0.0124%19 May
cache6–13-0.0421%13 May
cache13–100.0226%13 May
cache10–13-0.0519%13 May
dust29–13-0.0815%9 May
cache13–11-0.0215%9 May
cache7–13-0.0532%8 May
ancient9–130.0321%7 May
cache12–120.0143%5 May
dust213–110.0223%4 May
inferno13–80.0420%4 May
cache13–110.0620%4 May
cache13–110.0325%4 May
cache13–20.0722%3 May
cache13–110.0348%3 May
cache13–110.0929%3 May
inferno14–16-0.0535%31 Mar
ancient4–130.0727%31 Mar
overpass5–13-0.0230%28 Mar
mirage4–130.0031%28 Mar
mirage9–130.0039%22 Feb
dust213–10-0.0116%16 Feb
ancient11–130.0319%16 Feb
ancient10–130.0117%15 Feb
dust213–110.0823%2 Feb
inferno13–8-0.0239%2 Feb
anubis7–130.0334%1 Feb
ancient13–60.0221%1 Feb
ancient1–13-0.0131%1 Feb
inferno16–140.0138%1 Feb
inferno13–90.0530%1 Feb
inferno13–11-0.0431%29 Jan
ancient4–00.0525%29 Jan
overpass13–7-0.0413%29 Jan
dust213–20.0121%28 Jan
ancient13–7-0.0118%28 Jan
ancient13–100.0232%27 Jan
dust213–9-0.0323%26 Jan
inferno16–13-0.0131%26 Jan
overpass7–130.0115%26 Jan
ancient13–20.1333%26 Jan
ancient9–130.0032%26 Jan
ancient8–130.0437%19 Jan
inferno13–110.0629%18 Jan
overpass10–130.0221%18 Jan
ancient12–160.0229%18 Jan
ancient13–50.0147%13 Jan
train13–11-0.0231%12 Jan
dust213–90.0548%12 Jan
dust213–16-0.0327%13 Dec
ancient13–80.0322%13 Dec
inferno13–30.0224%10 Dec
train10–130.0425%9 Dec
ancient13–30.0219%9 Dec
ancient6–13-0.0212%9 Dec
mirage5–13-0.0312%4 Dec
overpass11–13-0.0415%4 Dec
inferno11–130.0823%27 Nov
ancient13–110.0136%15 Nov
overpass6–13-0.0232%14 Nov
ancient13–2-0.0115%14 Nov
mirage13–110.0630%9 Nov
ancient9–13-0.0523%8 Nov
ancient13–110.0532%8 Nov
nuke13–90.0441%7 Nov
ancient5–130.0029%7 Nov
overpass12–12-0.0435%3 Nov
mirage4–13-0.1115%7 Oct
overpass6–13-0.0321%7 Oct
overpass13–70.0129%7 Oct
palacio5–13-0.0814%3 Oct
ancient16–130.0024%3 Oct
ancient13–70.0831%2 Oct
dust28–130.0428%30 Sept
ancient13–110.0418%30 Sept
inferno13–50.0323%26 Sept
overpass13–50.0216%26 Sept
dust28–13-0.0424%26 Sept
overpass13–80.0124%24 Sept

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches10-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →