Guy Le DOUCHE

Guy Le DOUCHE — CS2 Stats

JP76561199069975239[U:1:1109709511]Steam profile ↗✓ No bans

2,737Tracked matches27%Win rate2024Tracked since
3,665Hours in CS42Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating16,516Purple band · top ~22.4% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (yesterday). 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: 16,516 -103 10 Sept – 14 Oct · 28 days played
15,79217,865peak 17,86510 Sept14 Oct
18,072Peak Premier in tracked matches
28Days played since 2026-09-10

Premier CS Rating

  • 1,349 below peak (17,865)
  • -903 over 30 days · declining
  • Next: Pink band at 20,000 — 3,484 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 Level 3 among CSDB-tracked players (n=10,231), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate44.0%41.8%42.7%above
Shot accuracy0.0%12.2%11.3%11.3% short
Kill/death ratio1.170.980.99above
Match win rate47.1%43.3%43.9%above

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGuy Le DOUCHEFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER16,516 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim74
Positioning72
Utility34

0–100 skill scores via Leetify.

Recent form

COLD34–62–4Last 10034%Win rateLLLLLLWLWL

Last 10 vs previous 10: −30pp win rate · +0.06 avg rating · +8.5pp headshot accuracy · +6ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.06), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 569ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 22%
  • Avg reaction 541ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 538ms

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 (+2.5 against its own average).

Aim7.4
Utility3.4
Positioning7.2
Opening Duels4.7
Clutch3.6

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

donk

Plays most like donk 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

T openings. 73% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 73% on T to 52% on CT — first contacts on the defending side are being lost.

Reaction time. 550ms 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

Aim7.4
Positioning7.2
Utility3.4
Mechanics6.8
Opening Duels7.7
Win Impact0.0

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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time542ms−54ms
first ⅓ avg 596ms → last ⅓ avg 542ms
Headshot accuracy16.8%−1.3%
first ⅓ avg 18.2% → last ⅓ avg 16.8%

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

0.26Best match rating · 9–3 · nuke, 12 Oct →
53%Best headshot accuracy · 7–13 · ancient, 13 Oct →
391msFastest reaction time · 0–9 · inferno, 6 Oct →
13–1Biggest win · cache, 24 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L6Current streak
6–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 50% over 12infernoWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
anubisD165–1131%0.03
dust2B157–847%0.01
nukeD154–1127%0.07
infernoD142–1214%-0.01
mirageC125–742%0.02
cacheB126–650%-0.02
ancientD112–918%0.02
debris—21–150%0.11
poseidon—10–10%-0.02
vertigo—11–0100%0.23
office—11–0100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,375Lifetime kills
1.17K/D · Top 25% of Level 3 players
3,542Matches
47.1%Match win rate · Top 25% of Level 3 players
44.0%Headshot % · Top 50% of Level 3 players
0.0%Shot accuracy
9,615MVPs
1,823Hours (in match)
5,218Bombs planted
859Bombs defused

Most-used weapons

Lifetime map wins

5,885dust2
4,716inferno
4,659nuke
2,804train
1,781vertigo
550office
26italy
13cbble

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

Faceit stats

Combat

23Matches
39%Win rate
0.82Avg K/D
60.2ADR
29%Headshot %

Clutches & streaks

38%1v1 clutch win
10%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage933%1.0510.0
Dust2617%0.579.2
Ancient250%0.295.5
Inferno250%0.685.5
Anubis2100%0.9813.0
Vertigo1100%0.7821.0
Nuke10%1.4021.0

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.

15.9%Headshot accuracy
37.3%Accuracy (enemy spotted)
36.8%Spray accuracy
80.8%Counter-strafing
9.9°Preaim
550msReaction time
73.5%T opening success
51.8%CT opening success
0.48Enemies flashed / flash
12.9%Flash assists
7.87HE damage / grenade
5.67Flashes / 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 0.4823 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.029%14 Oct →
ancient7–130.0453%13 Oct →
ancient7–130.1521%12 Oct →
anubis8–130.0621%12 Oct →
dust21–13-0.0513%12 Oct →
nuke6–130.0420%12 Oct →
nuke9–30.2639%12 Oct →
inferno5–90.0425%12 Oct →
dust213–11-0.039%12 Oct →
inferno8–130.0614%12 Oct →
inferno7–13-0.0719%11 Oct →
mirage13–9-0.0317%11 Oct →
dust213–10-0.0218%11 Oct →
anubis9–13-0.014%9 Oct →
nuke6–130.0019%9 Oct →
dust211–13-0.057%9 Oct →
anubis12–60.0113%9 Oct →
cache13–7-0.0412%9 Oct →
nuke9–130.1420%9 Oct →
cache13–70.0310%9 Oct →
cache2–13-0.097%7 Oct →
nuke3–100.1214%7 Oct →
inferno3–9-0.120%7 Oct →
inferno0–9-0.2833%6 Oct →
debris7–90.0714%6 Oct →
ancient9–130.0713%6 Oct →
inferno3–130.0018%6 Oct →
nuke11–130.1016%5 Oct →
anubis2–130.007%5 Oct →
nuke9–130.024%5 Oct →
nuke10–130.0813%4 Oct →
cache13–10-0.0026%4 Oct →
mirage11–130.0428%4 Oct →
mirage13–100.0413%4 Oct →
mirage11–130.0017%4 Oct →
ancient13–110.0616%4 Oct →
poseidon5–9-0.0216%4 Oct →
debris9–40.1522%4 Oct →
vertigo9–60.2318%4 Oct →
anubis13–80.1710%4 Oct →
office13–80.0314%3 Oct →
dust24–13-0.0210%3 Oct →
inferno0–6-0.070%3 Oct →
nuke8–80.1017%3 Oct →
inferno9–20.2421%3 Oct →
ancient5–130.0214%3 Oct →
ancient8–130.0032%2 Oct →
anubis3–130.0526%2 Oct →
anubis15–150.0317%2 Oct →
cache8–13-0.029%1 Oct →
nuke13–90.0120%1 Oct →
dust213–160.0319%1 Oct →
inferno7–120.0614%30 Sept →
anubis4–130.0119%30 Sept →
cache6–13-0.0419%30 Sept →
mirage9–130.1115%30 Sept →
dust213–70.1116%30 Sept →
ancient13–90.0215%27 Sept →
mirage4–130.0017%27 Sept →
ancient4–13-0.0720%27 Sept →
inferno13–160.0614%26 Sept →
cache13–30.036%26 Sept →
dust213–30.0110%26 Sept →
dust213–70.1227%26 Sept →
cache11–13-0.0212%26 Sept →
nuke8–130.059%26 Sept →
mirage7–13-0.0118%25 Sept →
anubis13–100.0020%25 Sept →
inferno8–8-0.0318%25 Sept →
cache13–1-0.0418%24 Sept →
anubis0–80.016%24 Sept →
ancient4–13-0.0813%23 Sept →
inferno13–60.0717%23 Sept →
dust213–90.0516%23 Sept →
dust213–11-0.0614%22 Sept →
cache11–13-0.0314%22 Sept →
mirage15–150.0019%21 Sept →
nuke9–130.1225%21 Sept →
dust24–13-0.0437%21 Sept →
anubis9–130.0325%21 Sept →
mirage13–100.0118%20 Sept →
dust211–130.0134%20 Sept →
nuke1–13-0.050%18 Sept →
dust22–13-0.0238%18 Sept →
anubis10–13-0.0128%18 Sept →
anubis13–70.0924%17 Sept →
inferno6–13-0.0718%17 Sept →
cache5–13-0.0713%17 Sept →
anubis5–130.0118%16 Sept →
dust23–130.0512%16 Sept →
nuke9–70.1124%16 Sept →
mirage13–10.014%16 Sept →
anubis4–10.0131%13 Sept →
cache13–110.0119%13 Sept →
nuke6–40.039%13 Sept →
mirage13–80.0712%13 Sept →
inferno4–13-0.048%12 Sept →
mirage7–13-0.0017%12 Sept →
ancient10–13-0.0513%11 Sept →
ancient12–160.0517%10 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.