Lesh

Lesh — CS2 Stats

76561198069434159[U:1:109168431]Steam profile ↗✓ No bans

137Tracked matches43%Win rate2020Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating18,146Purple band · top ~15.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (61 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 137 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,146 +3,851 18 Aug – 31 Aug · 11 days played
14,29521,452peak 21,45218 Aug31 Aug
21,575Peak Premier in tracked matches
42Days played since 2023-02-26

Premier CS Rating

  • 3,306 below peak (21,452)
  • Next: Pink band at 20,000 — 1,854 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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

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CSDB.GGLeshPREMIER18,146 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning49
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLWLLWLWLWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +3.7pp headshot accuracy · +21ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 658ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 670ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 660ms

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 (+1.4 against its own average).

Aim6.9
Utility2.6
Positioning4.9
Opening Duels3.1

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 91% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

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

Reaction time. 646ms 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

Aim6.9
Positioning4.9
Utility2.6
Mechanics6.8
Opening Duels2.2
Win Impact2.8

Composite 5.0/10 (Developing), 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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time646ms+51ms
first ⅓ avg 595ms → last ⅓ avg 646ms
Headshot accuracy20.6%+2.1%
first ⅓ avg 18.5% → last ⅓ avg 20.6%

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

0.18Best match rating · 10–13 · inferno, 9 Aug →
45%Best headshot accuracy · 13–9 · mirage, 18 Sept →
453msFastest reaction time · 7–13 · inferno, 4 Jan →
16–3Biggest win · nuke, 28 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–9In matches decided by ≤2 rounds
25Overtime games

Map breakdown

nukeBest map · 75% over 8ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2412–1250%0.03
infernoS2315–865%0.04
anubisS139–469%0.03
ancientD103–730%-0.01
nukeS86–275%0.07
overpassA74–357%0.01
dust2B63–350%-0.01
train—43–175%0.03
vertigo—32–167%0.03
tuscan—10–10%0.02
cache—10–10%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.5%Headshot accuracy
35.2%Accuracy (enemy spotted)
39.7%Spray accuracy
80.4%Counter-strafing
10.4°Preaim
646msReaction time
34.5%T opening success
43.0%CT opening success
0.58Enemies flashed / flash
9.2%Flash assists
11.30HE damage / grenade
9.20Flashes / 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 34.466% — below the 40% mark we flag

Spend your practice time on Ancient

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0114%17 Jan →
inferno13–60.0912%17 Jan →
mirage11–130.0711%17 Jan →
ancient5–13-0.0632%20 Sept →
inferno13–9-0.0321%20 Sept →
mirage7–13-0.0121%18 Sept →
mirage13–9-0.0145%18 Sept →
inferno6–13-0.0222%18 Sept →
mirage13–11-0.0231%17 Sept →
train10–13-0.0130%17 Sept →
ancient6–130.028%29 Aug →
mirage3–13-0.0315%29 Aug →
inferno5–13-0.0217%22 Aug →
inferno16–140.0319%22 Aug →
overpass9–130.0517%15 Aug →
ancient13–50.0616%15 Aug →
mirage5–130.0725%15 Aug →
dust20–5-0.0833%9 Aug →
mirage6–130.0127%9 Aug →
ancient13–80.0622%8 Aug →
overpass13–9-0.026%8 Aug →
mirage13–40.1532%8 Aug →
inferno16–140.0021%29 Jul →
mirage16–140.0422%27 Jul →
overpass4–13-0.0732%25 Jul →
mirage13–3-0.057%25 Jul →
anubis13–70.0417%25 Jul →
ancient11–130.1021%29 Jun →
anubis7–130.0016%29 Jun →
anubis9–13-0.0413%29 Jun →
mirage16–130.0616%27 Jun →
inferno13–4-0.0129%27 Jun →
anubis13–40.0810%20 Mar →
dust210–130.0016%20 Mar →
nuke11–13-0.018%20 Mar →
dust28–13-0.0617%8 Mar →
anubis13–80.0514%8 Mar →
inferno16–130.0411%2 Mar →
mirage11–130.0416%2 Mar →
ancient13–4-0.0522%2 Mar →
nuke13–100.0427%2 Mar →
inferno11–130.0216%1 Mar →
mirage8–130.0422%1 Mar →
nuke13–100.0921%28 Feb →
mirage5–12-0.0521%28 Feb →
inferno13–40.1028%27 Feb →
mirage13–110.0926%27 Feb →
mirage11–130.0220%26 Feb →
anubis13–100.0133%31 Jan →
anubis13–30.0221%31 Jan →
mirage10–13-0.0314%31 Jan →
inferno13–40.0314%31 Jan →
ancient10–13-0.0319%31 Jan →
inferno5–13-0.0726%5 Jan →
mirage8–13-0.0216%5 Jan →
nuke13–16-0.0413%4 Jan →
anubis13–50.1015%4 Jan →
inferno7–130.0814%4 Jan →
mirage4–13-0.0318%4 Jan →
inferno5–2-0.0122%20 Nov →
anubis13–40.1024%20 Nov →
inferno13–110.1115%20 Nov →
train13–50.0917%15 Nov →
train13–20.0615%15 Nov →
train13–7-0.0111%15 Nov →
anubis9–13-0.0216%9 Nov →
dust213–60.0433%18 Aug →
dust213–50.0119%18 Aug →
anubis13–11-0.0412%18 Aug →
ancient0–5-0.090%17 Aug →
anubis10–130.0219%17 Aug →
nuke13–60.1121%14 Aug →
mirage13–20.1619%12 Aug →
dust213–80.0227%11 Aug →
inferno11–130.1030%11 Aug →
inferno13–30.0025%10 Aug →
vertigo13–100.0816%10 Aug →
mirage13–6-0.0021%10 Aug →
nuke13–40.1422%9 Aug →
nuke13–80.1511%9 Aug →
inferno10–130.1819%9 Aug →
inferno16–80.0227%19 Jun →
tuscan10–160.0222%19 Jun →
vertigo14–160.0228%14 Mar →
cache15–150.0325%11 Mar →
vertigo16–13-0.0214%11 Mar →
overpass11–16-0.0616%11 Mar →
mirage16–140.0215%11 Mar →
inferno16–130.0321%11 Mar →
inferno16–80.0318%10 Mar →
overpass16–140.0314%10 Mar →
overpass16–9-0.0011%10 Mar →
inferno16–80.0316%5 Mar →
ancient14–16-0.0517%5 Mar →
mirage16–90.0521%4 Mar →
mirage16–70.1119%4 Mar →
nuke16–30.0821%28 Feb →
overpass16–120.1416%26 Feb →
anubis16–60.0417%26 Feb →
inferno15–150.0916%26 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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