Bodywash

Bodywash — CS2 Stats

FR76561198044665679[U:1:84399951]Steam profile ↗✓ No bans

1,558Tracked matches57%Win rate2025Tracked since
CSDB Rating6.6 SolidPositional Player
FaceitLevel 9 · 1,592 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (65 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,592 → 1,592
+21Tracked matches · now 1,558
+10.5ppWin rate · 46.7% → 57.1%

Rating over time

Premier CS Rating: 24,999 +105 24 Jun – 6 Jul · 7 days played
23,57124,999peak 24,99924 Jun6 Jul
24,999Peak Premier in tracked matches
1,592Highest Faceit ELO seen on CSDB
45Days played since 2026-06-24

Faceit ELO

  • At peak — 1,592
  • Next: Level 9 at 1,751 — 159 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-01
  • Level 7 first seen 2026-09-01

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.

Share this profile

CSDB.GGBodywashFACEITLevel 9 · 1,592 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,592csdb.gg/stats

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Performance scores

Aim75
Positioning67
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateWLLWWLWTWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −4.3pp headshot accuracy · −30ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 552ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 581ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 596ms

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 (+1.5 against its own average).

Aim7.5
Utility5.5
Positioning6.7
Opening Duels5.0
Clutch3.8

Strong T-side opener

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

m0NESY

Plays most like m0NESY 91% 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 →

Strengths & areas to improve

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 63% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 583ms 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

Aim7.5
Positioning6.7
Utility5.5
Mechanics8.4
Opening Duels5.7
Win Impact7.4

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time595ms−24ms
first ⅓ avg 619ms → last ⅓ avg 595ms
Headshot accuracy19.9%−0.5%
first ⅓ avg 20.4% → last ⅓ avg 19.9%

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

0.37Best match rating · 9–2 · inferno, 6 Jul →
45%Best headshot accuracy · 12–12 · dust2, 24 Jul →
422msFastest reaction time · 8–0 · ancient, 6 Jul →
11–0Biggest win · dust2, 10 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

dust2Best map · 60% over 35infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A3521–1460%0.02
anubisC135–838%0.02
infernoD123–925%0.02
ancientC125–742%0.04
cacheB105–550%0.02
vertigo—43–175%0.01
mirage—30–30%-0.01
nuke—32–167%0.02
office—31–233%0.05
train—21–150%-0.04
poseidon—20–20%-0.05
debris—11–0100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

380Matches
53%Win rate
1.19Avg K/D
85.5ADR
48%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust213963%1.3317.3
Mirage7739%1.0015.0
Inferno4475%1.1817.5
Ancient4141%1.2918.5
Anubis3647%1.2017.9
Nuke1242%1.0914.3
Train1040%1.3121.6
Overpass812%0.6910.4

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.

19.6%Headshot accuracy
33.3%Accuracy (enemy spotted)
37.8%Spray accuracy
87.7%Counter-strafing
10.1°Preaim
583msReaction time
63.0%T opening success
42.3%CT opening success
0.55Enemies flashed / flash
12.4%Flash assists
9.33HE damage / grenade
8.91Flashes / match

Recommended for you

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–60.0317%25 Oct →
anubis10–13-0.0119%19 Oct →
train9–13-0.0116%13 Oct →
train13–7-0.0615%13 Oct →
dust213–90.0416%2 Oct →
mirage12–16-0.0817%28 Sept →
dust213–90.0027%28 Sept →
cache12–12-0.0022%24 Sept →
dust213–110.0419%24 Sept →
anubis7–20.0117%23 Sept →
vertigo7–13-0.0430%23 Sept →
vertigo13–40.1334%23 Sept →
dust27–130.0013%22 Sept →
anubis13–110.0323%17 Sept →
anubis8–13-0.0213%16 Sept →
anubis6–00.1124%16 Sept →
dust211–00.0236%10 Sept →
inferno9–13-0.0911%10 Sept →
ancient12–12-0.0824%9 Sept →
cache13–30.1121%8 Sept →
dust213–30.0521%8 Sept →
inferno13–5-0.0224%28 Aug →
inferno9–13-0.039%28 Aug →
dust210–13-0.0027%26 Aug →
cache7–13-0.0317%26 Aug →
cache4–13-0.0018%26 Aug →
cache13–90.0320%26 Aug →
dust29–13-0.0114%8 Aug →
dust213–60.0620%8 Aug →
ancient13–40.0915%8 Aug →
cache13–20.0916%8 Aug →
dust213–30.0919%8 Aug →
dust29–130.0421%8 Aug →
dust29–13-0.0327%8 Aug →
ancient12–16-0.0517%7 Aug →
ancient11–130.0417%7 Aug →
inferno8–13-0.0429%7 Aug →
cache6–13-0.0412%7 Aug →
anubis3–130.0318%7 Aug →
ancient2–40.1128%6 Aug →
dust213–11-0.0221%6 Aug →
dust210–13-0.0015%5 Aug →
nuke13–10-0.0010%5 Aug →
anubis13–90.0620%5 Aug →
dust27–13-0.0224%5 Aug →
inferno8–130.1031%3 Aug →
ancient13–40.1427%3 Aug →
vertigo13–6-0.0425%1 Aug →
debris9–20.0829%31 Jul →
poseidon8–80.0228%31 Jul →
vertigo13–70.0135%29 Jul →
dust219–160.0130%28 Jul →
ancient13–40.0944%28 Jul →
dust212–160.1020%27 Jul →
anubis11–130.0331%27 Jul →
dust212–12-0.0245%24 Jul →
anubis13–100.0122%24 Jul →
anubis10–130.0119%24 Jul →
anubis12–120.0024%24 Jul →
anubis7–130.0428%23 Jul →
dust211–13-0.0412%21 Jul →
inferno10–13-0.0533%16 Jul →
ancient10–13-0.0116%15 Jul →
inferno5–13-0.0426%15 Jul →
dust213–100.0427%15 Jul →
office13–70.0321%13 Jul →
dust214–160.0122%11 Jul →
dust213–80.0720%11 Jul →
dust213–70.0722%10 Jul →
dust213–90.0725%8 Jul →
inferno7–13-0.0525%8 Jul →
office9–130.0324%8 Jul →
office12–120.0934%8 Jul →
anubis9–130.0422%7 Jul →
poseidon1–9-0.137%6 Jul →
nuke9–20.0618%6 Jul →
inferno9–20.3738%6 Jul →
ancient8–00.1015%6 Jul →
dust216–140.0819%4 Jul →
dust213–60.0820%4 Jul →
cache13–110.0526%4 Jul →
dust213–110.0619%4 Jul →
ancient13–60.1015%3 Jul →
inferno9–13-0.0216%2 Jul →
inferno13–50.0713%1 Jul →
dust210–4-0.0019%1 Jul →
dust213–70.0025%1 Jul →
dust213–60.0222%1 Jul →
nuke8–130.0222%30 Jun →
dust213–3-0.0213%30 Jun →
cache12–120.0118%28 Jun →
inferno8–13-0.0118%27 Jun →
dust27–13-0.0617%25 Jun →
mirage6–13-0.0118%25 Jun →
ancient1–13-0.0216%25 Jun →
dust213–50.1130%25 Jun →
dust28–13-0.0023%24 Jun →
dust22–13-0.0616%24 Jun →
ancient3–13-0.0121%24 Jun →
mirage9–130.0520%24 Jun →

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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