260 lean

260 lean — CS2 Stats

CA76561198804432014[U:1:844166286]Steam profile ↗✓ No bans

1,166Tracked matches57%Win rate2023Tracked since
CSDB Rating6.5 SolidPositional Player
Premier CS Rating17,232Purple band · top ~19.5% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,232 +4,081 1 May – 15 Oct · 26 days played
12,34018,298peak 18,2981 May15 Oct
18,671Peak Premier in tracked matches
41Days played since 2026-05-01

Premier CS Rating

  • 1,066 below peak (18,298)
  • Next: Pink band at 20,000 — 2,768 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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

Share this profile

CSDB.GG260 leanPREMIER17,232 · Purple bandcsdb.gg/stats

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Performance scores

Aim77
Positioning61
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateLWWWLLLLWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −1.8pp headshot accuracy · +98ms 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 -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 647ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 665ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 616ms

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).

Aim7.7
Utility4.2
Positioning6.1
Opening Duels3.7

Strong CT-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

donk

Plays most like donk 98% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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.

T-side openings. Opening success drops from 56% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim7.7
Positioning6.1
Utility4.2
Mechanics7.9
Opening Duels4.2
Win Impact7.2

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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time604ms−36ms
first ⅓ avg 640ms → last ⅓ avg 604ms
Headshot accuracy23.4%+1.9%
first ⅓ avg 21.5% → last ⅓ avg 23.4%

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

0.13Best match rating · 13–11 · inferno, 1 Sept →
57%Best headshot accuracy · 13–10 · nuke, 30 Jul →
453msFastest reaction time · 13–8 · anubis, 23 Aug →
13–2Biggest win · cache, 12 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 67% over 21cacheWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
nukeS2114–767%0.00
dust2A1710–759%0.00
mirageC167–944%-0.01
infernoA148–657%-0.01
anubisA116–555%-0.01
cacheC114–736%-0.01
ancientC83–538%0.01
overpass—21–150%-0.03

Across the last 100 tracked matches.

Skill profile

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

24.1%Headshot accuracy
30.5%Accuracy (enemy spotted)
33.0%Spray accuracy
85.7%Counter-strafing
7.6°Preaim
600msReaction time
37.9%T opening success
55.8%CT opening success
0.59Enemies flashed / flash
4.2%Flash assists
8.22HE damage / grenade
6.53Flashes / 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 37.9055% — below the 40% mark we flag

Spend your practice time on Cache

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0324%15 Oct →
nuke13–7-0.0524%15 Oct →
anubis13–8-0.0230%15 Oct →
mirage16–13-0.0112%13 Oct →
nuke9–13-0.0333%12 Oct →
cache2–70.0829%26 Sept →
dust29–13-0.0538%26 Sept →
mirage12–16-0.1031%26 Sept →
mirage13–9-0.080%25 Sept →
dust213–11-0.0519%1 Sept →
inferno13–110.1324%1 Sept →
ancient13–80.0222%1 Sept →
dust214–160.0127%1 Sept →
dust213–10-0.0148%31 Aug →
inferno3–6-0.110%30 Aug →
inferno5–13-0.0329%29 Aug →
nuke14–160.0123%29 Aug →
dust25–13-0.0820%29 Aug →
inferno13–8-0.0536%29 Aug →
mirage2–9-0.0629%28 Aug →
dust213–7-0.0122%28 Aug →
nuke13–8-0.0224%28 Aug →
cache11–13-0.0122%27 Aug →
nuke13–11-0.0226%27 Aug →
mirage16–12-0.0119%27 Aug →
nuke13–100.0425%26 Aug →
mirage16–13-0.0511%26 Aug →
mirage13–7-0.0010%26 Aug →
cache11–13-0.0611%26 Aug →
inferno13–50.1137%25 Aug →
nuke13–9-0.0021%25 Aug →
ancient9–13-0.0518%25 Aug →
dust213–9-0.0330%25 Aug →
ancient13–60.0713%25 Aug →
dust213–30.1226%25 Aug →
inferno13–3-0.0116%25 Aug →
mirage13–30.0622%25 Aug →
mirage0–2-0.010%25 Aug →
ancient8–13-0.0410%24 Aug →
anubis9–130.0316%24 Aug →
cache7–13-0.0113%24 Aug →
dust213–110.0116%24 Aug →
cache10–130.0317%24 Aug →
inferno13–10-0.029%24 Aug →
anubis13–8-0.0421%23 Aug →
mirage10–130.0611%23 Aug →
inferno13–5-0.053%23 Aug →
inferno13–80.0015%21 Aug →
nuke6–11-0.0419%21 Aug →
mirage7–130.0117%21 Aug →
cache4–13-0.0625%21 Aug →
dust216–120.0723%20 Aug →
mirage0–90.0228%20 Aug →
dust213–60.0226%20 Aug →
nuke16–140.0518%20 Aug →
nuke13–80.0724%20 Aug →
anubis6–130.039%19 Aug →
mirage8–130.0229%19 Aug →
dust28–13-0.0033%19 Aug →
nuke14–160.0128%19 Aug →
anubis10–13-0.0412%18 Aug →
cache13–10-0.0120%14 Aug →
nuke13–8-0.0212%14 Aug →
dust22–70.1232%13 Aug →
anubis13–6-0.0519%13 Aug →
cache13–2-0.0035%12 Aug →
nuke13–7-0.0029%11 Aug →
nuke7–13-0.0521%31 Jul →
anubis10–13-0.0126%31 Jul →
nuke13–10-0.0757%30 Jul →
nuke13–70.0119%30 Jul →
nuke13–100.0816%29 Jul →
inferno8–8-0.0717%29 Jul →
nuke9–30.1219%29 Jul →
ancient6–130.0011%16 Jul →
cache13–40.0426%16 Jul →
anubis13–90.0729%1 Jul →
ancient7–130.0718%1 Jul →
nuke10–13-0.0112%29 Jun →
mirage13–8-0.0023%26 Jun →
inferno2–13-0.0629%26 Jun →
ancient13–70.0222%25 Jun →
anubis13–11-0.0420%25 Jun →
anubis5–13-0.059%24 Jun →
inferno3–130.0220%24 Jun →
anubis13–20.0520%24 Jun →
mirage2–13-0.0212%23 Jun →
ancient7–12-0.0114%21 Jun →
overpass6–13-0.0716%21 Jun →
inferno9–13-0.0845%23 May →
dust213–11-0.0617%22 May →
dust24–13-0.0736%21 May →
overpass13–70.0020%21 May →
cache13–9-0.0122%16 May →
inferno16–140.0221%16 May →
dust213–11-0.0124%8 May →
nuke13–80.0113%8 May →
cache0–4-0.060%2 May →
dust26–130.0531%2 May →
nuke10–13-0.0127%1 May →

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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