Slightly Damp Towel

Slightly Damp Towel — CS2 Stats

76561198065065105[U:1:104799377]Steam profile ↗✓ No bans

1,445Tracked matches50%Win rate2021Tracked since
CSDB Rating4.7 Developing
Premier CS Rating21,744Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)
CSDB Leaderboard#7369 of 22594 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSlightly Damp TowelFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,744 · Pink bandcsdb.gg/stats

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Performance scores

Aim44
Positioning44
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY51436Last 10051%Win rateLWLLLLLWWW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim4.4
Aggression6.3
Utility5.6
Positioning4.4
Opening Duels2.5
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: opening-fight frequency, 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. 629ms 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

Aim4.4
Positioning4.4
Utility5.6
Mechanics5.2
Opening Duels2.5
Win Impact5.0

Composite 4.7/10 (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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time637ms+2ms
first ⅓ avg 635ms → last ⅓ avg 637ms
Headshot accuracy17.6%+0.3%
first ⅓ avg 17.3% → last ⅓ avg 17.6%

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.

Highlights

0.14Best rating — dust2 13–3
130Biggest win — inferno
5Longest win streak
98In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 83% over 6dust2Weakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA25151060%-0.00
mirageA24141058%-0.01
nukeC1661038%-0.03
dust2D124833%-0.01
ancientC73443%-0.01
anubisS65183%-0.00
cache43175%-0.00
overpass21150%-0.03
train2020%-0.05
palacio1010%0.02
vertigo1010%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

772Matches
50%Win rate
1.03Avg K/D
71.0ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1100%0.8416.0
Nuke10%0.5913.0
Anubis10%0.399.0
Vertigo10%0.8511.0

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.

17.4%Headshot accuracy
31.0%Accuracy (enemy spotted)
31.1%Spray accuracy
73.3%Counter-strafing
11.7°Preaim
629msReaction time
34.2%T opening success
46.1%CT opening success
0.56Enemies flashed / flash
3.1%Flash assists
16.27HE damage / grenade
7.17Flashes / 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

    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 34.165% — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.0948%22 Aug
inferno13–90.017%17 Aug
nuke7–13-0.0812%15 Aug
inferno6–13-0.0114%14 Aug
dust212–16-0.0619%10 Aug
mirage10–130.0318%10 Aug
mirage9–13-0.0311%10 Aug
mirage13–40.0222%9 Aug
mirage16–14-0.058%6 Aug
inferno16–13-0.0215%4 Aug
anubis3–13-0.0523%4 Aug
inferno13–11-0.0315%3 Aug
anubis13–7-0.0119%3 Aug
dust213–16-0.0321%3 Aug
ancient13–70.0516%3 Aug
cache13–100.0118%2 Aug
inferno11–13-0.0111%1 Aug
nuke4–13-0.0525%1 Aug
mirage14–16-0.0026%30 Jul
inferno13–9-0.0711%30 Jul
cache13–8-0.0317%26 Jul
dust29–13-0.0320%26 Jul
cache13–100.0213%26 Jul
anubis13–80.0733%25 Jul
anubis8–1-0.0510%25 Jul
nuke11–13-0.0120%25 Jul
mirage13–110.0323%22 Jul
inferno11–130.0011%20 Jul
cache7–13-0.0215%20 Jul
mirage16–12-0.0710%18 Jul
nuke9–13-0.0518%21 Jun
nuke13–110.0322%25 Mar
dust213–9-0.019%25 Mar
mirage15–15-0.0116%23 Mar
nuke13–16-0.054%8 Mar
inferno10–130.0016%22 Feb
nuke2–13-0.0450%25 Jan
mirage13–11-0.0119%25 Jan
anubis13–100.0415%25 Jan
mirage13–9-0.0313%3 Jan
overpass13–10-0.025%3 Jan
ancient8–130.0132%18 Dec
inferno7–13-0.0410%2 Dec
mirage13–5-0.0137%29 Nov
inferno4–13-0.0315%28 Nov
inferno2–130.0132%27 Nov
nuke6–1-0.0443%27 Nov
inferno13–100.0223%24 Nov
mirage4–13-0.0218%23 Nov
palacio12–120.0213%12 Nov
dust23–13-0.090%12 Nov
nuke10–13-0.049%1 Nov
dust29–13-0.0211%1 Nov
ancient13–50.0123%11 Oct
inferno13–50.0713%11 Oct
nuke16–140.0313%11 Oct
mirage16–13-0.0413%2 Oct
ancient16–130.0113%1 Jul
nuke15–15-0.0310%23 Jun
overpass6–13-0.057%21 Jun
inferno13–60.0113%21 Jun
mirage16–130.0518%19 Jun
ancient10–13-0.0330%17 Jun
inferno9–13-0.0517%16 Jun
mirage11–13-0.0516%10 Jun
mirage6–13-0.0223%7 May
mirage8–13-0.0313%4 May
inferno13–11-0.0116%28 Apr
mirage13–11-0.0213%20 Apr
vertigo8–130.0118%20 Apr
dust213–1-0.0130%20 Apr
dust213–30.1416%17 Apr
mirage13–10-0.0027%17 Apr
dust213–80.0813%16 Apr
ancient7–13-0.0718%6 Apr
dust26–13-0.0512%6 Apr
inferno13–110.0113%6 Apr
dust26–13-0.1014%6 Apr
nuke13–6-0.0220%6 Apr
mirage7–13-0.0420%2 Apr
dust212–120.0522%2 Apr
inferno12–120.0416%2 Apr
inferno13–50.0712%31 Mar
mirage13–40.0319%31 Mar
mirage11–130.027%29 Mar
inferno13–00.0626%29 Mar
inferno16–13-0.059%25 Mar
nuke2–13-0.087%17 Mar
inferno12–12-0.0310%17 Mar
ancient3–13-0.079%17 Mar
train11–13-0.0715%14 Mar
inferno13–3-0.0038%14 Mar
nuke13–60.0117%14 Mar
inferno13–70.0310%14 Mar
anubis16–13-0.0014%12 Mar
train11–13-0.0317%12 Mar
mirage13–100.0220%11 Mar
nuke13–70.0924%11 Mar
inferno13–4-0.0027%11 Mar
mirage13–10-0.0221%10 Mar

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 →