Leonard Owen Featherstonehaugh

Leonard Owen Featherstonehaugh — CS2 Stats

GB76561198717389151[U:1:757123423]Steam profile ↗✓ No bans

31Tracked matches81%Win rate2026Tracked since
CSDB Rating6.9 SolidAll-Rounder
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

+5Tracked matches · now 31
−5.6ppWin rate · 86.4% → 80.8%

Rating over time

13Days played since 2026-07-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim76
Positioning62
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY23–5–3Last 3174%Win rateLWLWTLWWWW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · +0.1pp headshot accuracy · +64ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 659ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 688ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 656ms

Newest first, from the last 31 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.

Aim7.6
Utility5.6
Positioning6.2
Opening Duels4.5

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

jL

Plays most like jL 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

T-side openings. Opening success drops from 55% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms 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

Aim7.6
Positioning6.2
Utility5.6
Mechanics7.7
Opening Duels4.0
Win Impact10.0

Composite 6.9/10 (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 rating0.02−0.03
first ⅓ avg 0.06 → last ⅓ avg 0.02
Reaction time688ms+95ms
first ⅓ avg 593ms → last ⅓ avg 688ms
Headshot accuracy21.5%−2.5%
first ⅓ avg 24.0% → last ⅓ avg 21.5%

Rolling 5-match average across the last 31 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.19Best match rating · 13–5 · cache, 5 Aug →
36%Best headshot accuracy · 13–5 · dust2, 5 Jul →
438msFastest reaction time · 13–10 · ancient, 4 Aug →
13–1Biggest win · overpass, 8 Aug →

Across the last 31 tracked matches.

Highlights

10Longest win streak
2Overtime games

Map breakdown

infernoBest map · 100% over 6dust2Weakest map · 80% over 10
MapGradePlayedRecordWin rateAvg rating
dust2S108–280%0.04
infernoS66–0100%0.04
nuke—30–30%0.00
ancient—32–167%0.05
cache—33–0100%0.11
vertigo—32–167%0.07
overpass—21–150%0.02
mirage—11–0100%0.01

Across the last 31 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (80% over 10). Start with the 6 essential Dust 2 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.

22.0%Headshot accuracy
34.6%Accuracy (enemy spotted)
39.4%Spray accuracy
84.4%Counter-strafing
9.4°Preaim
637msReaction time
37.7%T opening success
54.7%CT opening success
0.67Enemies flashed / flash
15.2%Flash assists
9.78HE damage / grenade
9.61Flashes / 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 37.6697% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
nuke2–13-0.0432%12 Oct →
dust213–30.0617%12 Oct →
nuke8–130.0718%4 Oct →
mirage13–70.0113%4 Oct →
ancient15–150.0311%20 Sept →
nuke9–13-0.0215%8 Aug →
inferno16–130.0523%8 Aug →
overpass13–10.0333%8 Aug →
dust213–110.0430%7 Aug →
inferno13–90.0222%7 Aug →
dust213–70.1021%7 Aug →
cache13–50.1927%5 Aug →
dust23–13-0.0221%5 Aug →
dust213–9-0.0118%5 Aug →
inferno13–90.0635%4 Aug →
ancient13–100.0017%4 Aug →
cache13–100.1323%3 Aug →
vertigo11–130.0716%3 Aug →
dust212–12-0.0213%20 Jul →
dust213–90.1124%19 Jul →
overpass12–120.0024%19 Jul →
ancient13–80.1329%5 Jul →
inferno10–40.0332%5 Jul →
dust213–50.0436%5 Jul →
dust213–70.0623%5 Jul →
vertigo13–40.1230%5 Jul →
inferno9–3-0.0219%5 Jul →
inferno9–30.1223%4 Jul →
dust213–40.0719%2 Jul →
cache13–30.0217%2 Jul →
vertigo13–10.0213%2 Jul →

Match data via Leetify.

Recent teammates

Milestones

10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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