LeBoulette

LeBoulette — CS2 Stats

MG76561198037766818[U:1:77501090]Steam profile ↗✓ No bans

341Tracked matches41%Win rate2022Tracked since
1,607Hours in CS
CSDB Rating5.8 SolidSupport
Premier CS Rating16,229Purple band · top ~23.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 341 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,229 -242 2 Jul – 13 Oct · 15 days played
16,18117,456peak 17,4562 Jul13 Oct
18,028Peak Premier in tracked matches
28Days played since 2026-06-22

Premier CS Rating

  • 1,227 below peak (17,456)
  • +48 over 90 days
  • Next: Pink band at 20,000 — 3,771 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-13
  • Blue band first seen 2026-10-13

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

Compare periods

Last 30 days vs previous 30

No matches recorded between 13 Oct 2026 and 14 Nov 2026.

Measured 13 Oct 2026 → 14 Nov 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate41.0%44.4%46.9%5.9% short
Shot accuracy17.7%11.9%13.0%above
Kill/death ratio1.001.031.080.08 short
Match win rate41.9%45.2%46.7%4.8% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLeBoulettePREMIER16,229 · Purple bandcsdb.gg/stats

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Performance scores

Aim74
Positioning52
Utility68

0–100 skill scores via Leetify.

Recent form

COLD46–46–8Last 10046%Win rateLLWLWWLLLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −2.7pp headshot accuracy · −24ms 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 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 620ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 572ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 584ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim7.4
Utility6.8
Positioning5.2
Opening Duels4.3

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

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 48% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 575ms 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

Aim7.4
Positioning5.2
Utility6.8
Mechanics7.3
Opening Duels2.5
Win Impact2.1

Composite 5.8/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time594ms+35ms
first ⅓ avg 559ms → last ⅓ avg 594ms
Headshot accuracy19.4%−3.5%
first ⅓ avg 22.9% → last ⅓ avg 19.4%

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

0.12Best match rating · 13–7 · mirage, 1 Aug →
100%Best headshot accuracy · 13–3 · nuke, 17 Jul →
422msFastest reaction time · 16–14 · nuke, 13 Aug →
13–1Biggest win · nuke, 2 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 60% over 5anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA3017–1357%0.03
nukeA2514–1156%0.01
dust2C145–936%0.01
mirageD113–827%0.01
cacheD93–633%0.01
anubisD61–517%0.00
overpassA53–260%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

88,201Lifetime kills
1.00K/D
3,791Matches
41.9%Match win rate
41.0%Headshot %
17.7%Shot accuracy · Top 10% of Purple band
8,423MVPs
1,607Hours (in match)
3,733Bombs planted
823Bombs defused

Most-used weapons

AK-4723,179
AWP20,870
P2503,139
FAMAS1,776
Tec-91,310

Lifetime map wins

11,612dust2
8,748inferno
2,096nuke
908cbble
639train
86lake
64safehouse
52bank

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

172Matches
51%Win rate
1.14Avg K/D
—ADR
35%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLW

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.

19.8%Headshot accuracy
37.0%Accuracy (enemy spotted)
37.0%Spray accuracy
83.0%Counter-strafing
11.2°Preaim
575msReaction time
31.9%T opening success
48.0%CT opening success
0.66Enemies flashed / flash
9.4%Flash assists
10.46HE damage / grenade
9.18Flashes / 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 31.8975% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.0316%20 Aug →
inferno11–13-0.0120%20 Aug →
inferno13–30.0820%19 Aug →
dust28–11-0.0417%19 Aug →
inferno13–110.0123%13 Aug →
nuke16–14-0.0013%13 Aug →
nuke8–13-0.0315%13 Aug →
mirage14–160.0321%13 Aug →
nuke5–13-0.0512%12 Aug →
nuke11–130.0120%12 Aug →
cache13–80.0615%12 Aug →
dust216–14-0.0131%12 Aug →
mirage13–100.0218%12 Aug →
mirage5–130.0021%11 Aug →
dust28–130.0418%11 Aug →
mirage7–130.0533%11 Aug →
inferno13–90.039%10 Aug →
dust27–130.0819%10 Aug →
dust25–13-0.0623%7 Aug →
mirage7–130.0518%7 Aug →
dust213–8-0.0016%7 Aug →
nuke13–80.0423%7 Aug →
inferno13–50.0125%6 Aug →
inferno13–110.0018%6 Aug →
mirage10–13-0.0015%5 Aug →
inferno10–130.0632%4 Aug →
cache15–150.0215%4 Aug →
nuke13–7-0.0015%4 Aug →
inferno9–13-0.0624%4 Aug →
nuke5–13-0.0333%4 Aug →
cache7–13-0.029%4 Aug →
dust213–40.1013%4 Aug →
nuke5–13-0.0823%4 Aug →
mirage0–6-0.0840%4 Aug →
mirage13–70.1226%1 Aug →
cache11–130.048%1 Aug →
inferno10–130.0914%1 Aug →
inferno13–30.0517%1 Aug →
inferno13–110.058%1 Aug →
inferno12–120.0213%1 Aug →
inferno13–50.048%31 Jul →
dust29–130.0513%31 Jul →
inferno13–100.0210%31 Jul →
nuke12–120.0325%30 Jul →
inferno10–130.0219%30 Jul →
nuke14–16-0.0024%27 Jul →
dust27–13-0.0313%27 Jul →
dust28–13-0.0318%26 Jul →
inferno13–50.1036%26 Jul →
cache4–13-0.0610%26 Jul →
dust22–13-0.0428%22 Jul →
mirage1–13-0.0833%22 Jul →
nuke13–7-0.029%22 Jul →
nuke13–3-0.04100%17 Jul →
nuke13–60.0318%17 Jul →
nuke13–50.0123%11 Jul →
nuke13–100.0027%11 Jul →
mirage9–13-0.0415%11 Jul →
overpass12–160.0220%6 Jul →
inferno11–130.0710%6 Jul →
inferno10–13-0.017%3 Jul →
nuke13–50.1127%3 Jul →
anubis8–13-0.0112%3 Jul →
nuke4–13-0.0212%2 Jul →
inferno13–50.0828%2 Jul →
nuke13–80.0213%2 Jul →
dust213–20.0615%2 Jul →
mirage13–60.0515%2 Jul →
inferno13–40.0217%2 Jul →
nuke13–10.0926%2 Jul →
overpass14–160.0616%1 Jul →
nuke5–00.0125%1 Jul →
dust213–5-0.0330%1 Jul →
overpass13–30.0418%28 Jun →
inferno9–13-0.004%28 Jun →
nuke7–13-0.0131%28 Jun →
cache12–12-0.0120%27 Jun →
anubis5–130.0011%27 Jun →
inferno13–90.0415%27 Jun →
inferno13–90.0228%27 Jun →
nuke12–12-0.0124%27 Jun →
nuke13–90.0525%27 Jun →
inferno13–60.0526%26 Jun →
nuke7–130.0128%26 Jun →
inferno13–11-0.0024%26 Jun →
overpass13–70.0030%26 Jun →
nuke13–40.0533%26 Jun →
anubis12–120.0421%26 Jun →
inferno13–70.0534%26 Jun →
cache12–120.0219%26 Jun →
inferno6–90.0223%25 Jun →
inferno12–120.0420%25 Jun →
overpass13–100.0227%25 Jun →
cache13–11-0.0227%25 Jun →
inferno11–130.0027%23 Jun →
anubis9–13-0.0613%23 Jun →
dust211–130.0529%23 Jun →
cache13–70.0325%23 Jun →
anubis13–80.0728%22 Jun →
inferno10–130.0316%22 Jun →

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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