the lash

the lash — CS2 Stats

AU76561198806818368[U:1:846552640]Steam profile ↗✓ No bans

1,471Tracked matches41%Win rate2020Tracked since
CSDB Rating6.5 SolidAll-Rounder
CSDB Leaderboard#18058 of 257466 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

+28Tracked matches · now 1,471
+5.7ppWin rate · 35.7% → 41.4%

Rating over time

Premier CS Rating: 25,397 -365 24 Jun – 11 Sept · 4 days played
25,39725,762peak 25,76224 Jun11 Sept
25,762Peak Premier in tracked matches
42Days played since 2026-06-18

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

Share this profile

CSDB.GGthe lashFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim86
Positioning62
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateWWWLLLLWWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +2.7pp headshot accuracy · −11ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 527ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 515ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 520ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.6
Utility5.9
Positioning6.2
Opening Duels4.1
Clutch5.8

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

NiKo

Plays most like NiKo 96% playstyle similarity

Most alike: opening-duel success, positioning 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

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

Aim8.6
Positioning6.2
Utility5.9
Mechanics7.5
Opening Duels4.1
Win Impact2.1

Composite 6.5/10 (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 rating0.03+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time527ms−68ms
first ⅓ avg 595ms → last ⅓ avg 527ms
Headshot accuracy19.6%+1.7%
first ⅓ avg 17.9% → last ⅓ avg 19.6%

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

0.21Best match rating · 13–3 · mirage, 7 Jul →
42%Best headshot accuracy · 6–13 · cache, 22 Aug →
375msFastest reaction time · 3–13 · vertigo, 23 Sept →
13–0Biggest win · inferno, 22 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
4–12In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 57% over 14dust2Weakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
mirageC238–1535%0.04
dust2D216–1529%0.01
cacheC146–843%0.04
nukeA148–657%0.02
infernoB105–550%0.04
ancientC94–544%0.01
anubis—42–250%0.07
vertigo—10–10%-0.05
train—11–0100%-0.03
overpass—10–10%0.02
italy—11–0100%-0.02
office—11–0100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

187Matches
50%Win rate
1.17Avg K/D
74.5ADR
52%Headshot %

Clutches & streaks

49%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4947%1.1915.2
Ancient3262%1.2115.3
Dust22836%1.0616.2
Vertigo2654%1.2016.1
Anubis2442%0.9014.0
Inferno1747%1.1816.6
Nuke1182%1.6818.7

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.

19.4%Headshot accuracy
39.9%Accuracy (enemy spotted)
33.5%Spray accuracy
83.7%Counter-strafing
8.4°Preaim
520msReaction time
51.4%T opening success
41.8%CT opening success
0.64Enemies flashed / flash
9.5%Flash assists
6.46HE damage / grenade
6.85Flashes / match

Recommended for you

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.

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–110.0815%25 Oct →
nuke13–90.0210%25 Oct →
anubis13–50.0425%25 Oct →
anubis10–130.0427%23 Oct →
ancient11–130.0729%23 Oct →
dust28–130.0526%23 Oct →
mirage7–13-0.0116%20 Oct →
anubis12–30.1422%20 Oct →
inferno13–40.0327%20 Oct →
cache13–90.038%20 Oct →
nuke13–60.0014%20 Oct →
ancient6–130.0024%14 Oct →
mirage3–130.039%14 Oct →
mirage11–130.0320%11 Oct →
dust24–13-0.0413%11 Oct →
mirage12–120.0723%2 Oct →
mirage13–10-0.0028%2 Oct →
anubis11–130.0417%27 Sept →
cache13–40.0522%27 Sept →
nuke0–8-0.068%25 Sept →
dust26–13-0.0219%25 Sept →
cache13–90.0817%23 Sept →
vertigo3–13-0.0521%23 Sept →
inferno13–00.1526%22 Sept →
nuke9–130.0920%22 Sept →
inferno11–130.0619%19 Sept →
dust23–13-0.0819%18 Sept →
dust26–130.0020%17 Sept →
mirage10–130.019%10 Sept →
mirage13–10.0426%10 Sept →
cache13–70.1223%10 Sept →
dust213–110.0626%4 Sept →
inferno12–120.0521%4 Sept →
ancient4–130.0422%4 Sept →
mirage9–120.0924%2 Sept →
nuke11–130.0129%2 Sept →
dust213–40.1739%25 Aug →
mirage11–130.0522%25 Aug →
dust26–130.0120%25 Aug →
train13–11-0.0317%25 Aug →
dust213–40.0126%22 Aug →
cache6–13-0.0242%22 Aug →
ancient13–90.0115%22 Aug →
dust28–13-0.0614%22 Aug →
cache4–13-0.0522%16 Aug →
cache0–70.0440%15 Aug →
dust26–130.0033%15 Aug →
mirage11–13-0.0713%15 Aug →
dust24–13-0.0523%15 Aug →
mirage3–13-0.0221%15 Aug →
mirage5–130.1218%15 Aug →
ancient3–13-0.048%13 Aug →
mirage10–130.0421%13 Aug →
dust28–130.0133%8 Aug →
nuke12–12-0.075%7 Aug →
nuke13–90.0818%7 Aug →
mirage13–30.1820%6 Aug →
nuke9–3-0.0218%6 Aug →
cache10–130.0123%3 Aug →
mirage13–80.0721%2 Aug →
mirage2–40.0133%22 Jul →
dust25–13-0.0429%22 Jul →
ancient13–60.0217%21 Jul →
cache10–130.0213%19 Jul →
inferno13–5-0.018%19 Jul →
dust213–60.0624%19 Jul →
mirage8–130.0214%17 Jul →
dust29–130.0112%16 Jul →
cache2–10.1920%16 Jul →
inferno9–130.0317%16 Jul →
inferno13–100.0523%14 Jul →
dust213–60.0710%14 Jul →
mirage9–130.0217%9 Jul →
cache8–130.0227%9 Jul →
mirage13–30.2125%7 Jul →
inferno6–13-0.0826%6 Jul →
dust23–13-0.0517%6 Jul →
nuke1–12-0.0121%6 Jul →
inferno10–130.0428%6 Jul →
cache13–7-0.018%6 Jul →
nuke10–13-0.0510%6 Jul →
cache8–80.0412%6 Jul →
dust27–13-0.0421%6 Jul →
overpass11–130.0214%1 Jul →
nuke7–50.1416%1 Jul →
mirage11–130.0120%30 Jun →
ancient13–8-0.0119%30 Jun →
mirage13–6-0.0321%30 Jun →
italy13–4-0.0219%30 Jun →
dust27–130.1125%26 Jun →
mirage13–50.0619%26 Jun →
dust213–60.006%26 Jun →
office13–20.0620%26 Jun →
ancient7–13-0.0426%24 Jun →
mirage13–90.0514%23 Jun →
nuke13–00.0714%23 Jun →
nuke13–9-0.015%22 Jun →
nuke13–40.0521%22 Jun →
ancient13–6-0.0021%18 Jun →
inferno13–80.0417%18 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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