So washed I'm clean ~Fletch~

So washed I'm clean ~Fletch~ — CS2 Stats

76561198043425561[U:1:83159833]Steam profile ↗✓ No bans

2,645Tracked matches43%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating24,064Top 25% of 205,416 CSDB-tracked playersPink band · top ~4% of ranked players (population est.)
CSDB Leaderboard#30717 of 252635 tracked
FaceitLevel 6 · 1,638 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−235Premier CS Rating · 24,299 → 24,064

Rating over time

Premier CS Rating: 24,064 -1,345 5 Sept – 17 Oct · 33 days played
23,45926,413peak 26,4135 Sept17 Oct
Faceit ELO: 1,638 +0 9 Sept – 11 Sept · 2 observations
1,6381,638peak 1,6389 Sept11 Sept
26,413Peak Premier in tracked matches
1,638Highest Faceit ELO seen on CSDB
35Days played since 2026-09-04

Faceit ELO

  • At peak — 1,638
  • Next: Level 9 at 1,751 — 113 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-09
  • Level 7 first seen 2026-09-09

Premier CS Rating

  • 2,349 below peak (26,413)
  • +490 over 30 days · improving
  • Next: Red band at 25,000 — 936 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-09
  • Pink band first seen 2026-09-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGSo washed I'm clean ~Flet…FACEITLevel 6 · 1,638 ELOSTANDINGTop 54.0% of rankedPREMIER24,064 · Pink bandPEAK ELO1,638csdb.gg/stats

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Performance scores

Aim52
Positioning59
Utility66

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateWLWLLLLLWL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · +0.5pp headshot accuracy · +100ms reaction

Win rate down 50pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 605ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 624ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 574ms

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 (+1.9 against its own average).

Aim5.2
Utility6.6
Positioning5.9
Opening Duels3.0
Clutch3.4

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

ZywOo

Plays most like ZywOo 70% 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

Reaction time. 558ms 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
Positioning5.9
Utility6.6
Mechanics4.6
Opening Duels4.2
Win Impact2.8

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time570ms+29ms
first ⅓ avg 541ms → last ⅓ avg 570ms
Headshot accuracy18.0%+0.5%
first ⅓ avg 17.6% → last ⅓ avg 18.0%

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

0.07Best match rating · 13–4 · nuke, 3 Oct →
100%Best headshot accuracy · 1–3 · cache, 4 Oct →
266msFastest reaction time · 2–4 · anubis, 23 Sept →
13–2Biggest win · cache, 3 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 58% over 12mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2412–1250%-0.01
dust2A2313–1057%-0.00
cacheA127–558%-0.02
anubisD124–833%-0.02
ancientD113–827%-0.04
mirageD82–625%-0.01
nukeC83–538%-0.01
train—22–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,290Matches
50%Win rate
0.96Avg K/D
70.8ADR
39%Headshot %

Clutches & streaks

37%1v1 clutch win
16%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage15752%0.8612.8
Inferno12455%0.9813.9
Dust211050%0.8713.0
Ancient7148%0.9213.1
Anubis5636%0.8613.3
Overpass2938%0.7711.3
Train2556%0.9914.6
Vertigo1844%0.9714.2

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.

15.8%Headshot accuracy
33.9%Accuracy (enemy spotted)
36.7%Spray accuracy
70.7%Counter-strafing
12.7°Preaim
558msReaction time
52.2%T opening success
41.2%CT opening success
0.53Enemies flashed / flash
7.4%Flash assists
12.31HE damage / grenade
13.96Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.729° — above the 12° mark we flag

    Aim Training →
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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–9-0.0016%17 Oct →
dust25–130.0118%17 Oct →
mirage13–9-0.018%17 Oct →
cache3–13-0.0928%17 Oct →
nuke10–13-0.0023%17 Oct →
inferno8–130.0414%16 Oct →
cache11–13-0.069%16 Oct →
dust28–13-0.034%16 Oct →
inferno9–30.0116%16 Oct →
dust29–13-0.0213%15 Oct →
cache9–13-0.0716%14 Oct →
inferno16–140.0216%13 Oct →
inferno13–5-0.0121%12 Oct →
cache4–0-0.020%12 Oct →
cache13–50.0611%12 Oct →
train13–90.0116%12 Oct →
anubis8–13-0.0317%12 Oct →
dust213–90.0214%11 Oct →
dust213–110.0510%7 Oct →
dust213–60.0523%7 Oct →
dust24–13-0.0618%6 Oct →
ancient9–13-0.077%6 Oct →
inferno13–110.0030%5 Oct →
inferno7–13-0.025%5 Oct →
inferno13–110.0417%5 Oct →
nuke0–7-0.0815%5 Oct →
dust29–13-0.0418%5 Oct →
cache1–3-0.01100%4 Oct →
dust21–4-0.0233%3 Oct →
inferno10–13-0.0811%3 Oct →
cache13–20.0329%3 Oct →
nuke13–40.0715%3 Oct →
inferno10–13-0.027%2 Oct →
inferno11–130.018%2 Oct →
dust213–8-0.0111%2 Oct →
ancient14–16-0.0220%2 Oct →
anubis13–16-0.0112%2 Oct →
dust213–2-0.0210%2 Oct →
inferno13–80.0120%2 Oct →
inferno13–16-0.0317%1 Oct →
cache13–10-0.0115%30 Sept →
inferno13–100.0716%29 Sept →
cache12–1-0.0314%28 Sept →
mirage13–160.0314%28 Sept →
ancient11–130.0126%28 Sept →
inferno13–70.0310%28 Sept →
dust23–13-0.0821%26 Sept →
inferno6–13-0.0310%26 Sept →
anubis5–13-0.0417%26 Sept →
inferno13–90.0212%26 Sept →
inferno8–130.0114%25 Sept →
inferno8–8-0.0414%25 Sept →
nuke10–13-0.0315%25 Sept →
dust25–50.0321%23 Sept →
anubis2–4-0.060%23 Sept →
inferno13–6-0.018%21 Sept →
anubis13–5-0.0022%20 Sept →
ancient0–3-0.170%20 Sept →
anubis10–130.0029%20 Sept →
dust213–110.039%19 Sept →
nuke13–110.0123%19 Sept →
anubis13–11-0.0317%19 Sept →
ancient13–10-0.0511%19 Sept →
cache13–80.0217%19 Sept →
mirage6–13-0.0219%19 Sept →
dust213–30.0623%19 Sept →
anubis9–13-0.0413%18 Sept →
dust213–90.0210%18 Sept →
cache13–110.0022%18 Sept →
dust213–8-0.0215%18 Sept →
anubis9–130.0112%18 Sept →
ancient13–90.0216%18 Sept →
mirage6–13-0.0228%17 Sept →
mirage11–130.0013%17 Sept →
dust213–60.0328%17 Sept →
anubis13–5-0.0233%17 Sept →
ancient4–13-0.044%15 Sept →
dust210–13-0.0621%15 Sept →
mirage13–11-0.004%14 Sept →
inferno16–13-0.0513%14 Sept →
cache2–13-0.1117%14 Sept →
anubis9–13-0.0316%14 Sept →
inferno0–13-0.0713%14 Sept →
ancient9–13-0.0510%13 Sept →
nuke9–4-0.0242%13 Sept →
nuke8–13-0.0115%12 Sept →
mirage6–13-0.0117%12 Sept →
inferno14–160.0015%10 Sept →
ancient8–13-0.0218%10 Sept →
dust216–130.0120%9 Sept →
inferno11–13-0.0412%8 Sept →
anubis13–110.0121%7 Sept →
ancient13–9-0.0027%7 Sept →
inferno13–5-0.0414%7 Sept →
mirage8–13-0.0711%5 Sept →
dust213–110.0110%5 Sept →
nuke7–13-0.0211%5 Sept →
train13–10-0.0242%4 Sept →
dust25–130.0114%4 Sept →
ancient12–12-0.0116%4 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 →

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