Leonnn

Leonnn — CS2 Stats

76561198301004257[U:1:340738529]Steam profile ↗✓ No bans

1,656Tracked matches65%Win rate2025Tracked since
CSDB Rating7.0 StrongPositional Player
Premier CS Rating18,366Purple band · top ~15% of ranked players (population est.)
FaceitLevel 4 · 1,039 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). 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: 18,366 +890 21 Sept – 11 Oct · 6 days played
17,10818,366peak 18,36621 Sept11 Oct
18,611Peak Premier in tracked matches
1,039Highest Faceit ELO seen on CSDB
21Days played since 2026-09-21

Faceit ELO

  • At peak — 1,039
  • Next: Level 5 at 1,051 — 12 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • At peak — 18,366
  • Next: Pink band at 20,000 — 1,634 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGLeonnnFACEITLevel 4 · 1,039 ELOSTANDINGTop 81.0% of rankedPREMIER18,366 · Purple bandPEAK ELO1,039csdb.gg/stats

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Performance scores

Aim69
Positioning67
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY56–33–11Last 10056%Win rateLLWWWLWWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −1.4pp headshot accuracy · +50ms 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 -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 638ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 588ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 563ms

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 (+2 against its own average).

Aim6.9
Utility4.8
Positioning6.7
Opening Duels4.5
Clutch3.0

Limited utility dependence

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 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 71% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 71% on T to 46% on CT — first contacts on the defending side are being lost.

Reaction time. 582ms 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
Positioning6.7
Utility4.8
Mechanics7.9
Opening Duels7.0
Win Impact10.0

Composite 7.0/10 (Strong), 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-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time592ms−19ms
first ⅓ avg 611ms → last ⅓ avg 592ms
Headshot accuracy22.7%+2.8%
first ⅓ avg 19.9% → last ⅓ avg 22.7%

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

0.17Best match rating · 13–8 · inferno, 25 Sept →
80%Best headshot accuracy · 3–7 · rush_001, 30 Sept →
367msFastest reaction time · 13–4 · anubis, 22 Sept →
13–0Biggest win · anubis, 1 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
4–2In matches decided by ≤2 rounds
1Overtime games

Map breakdown

rush_001Best map · 80% over 5vertigoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeB2412–1250%-0.01
infernoA1810–856%0.02
anubisA169–756%0.01
ancientB105–550%0.00
mirageA95–456%-0.02
vertigoD62–433%-0.03
rush_001S54–180%0.06
dust2—42–250%-0.02
italy—22–0100%-0.02
cache—22–0100%0.02
overpass—21–150%-0.02
train—22–0100%-0.08

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

311Matches
49%Win rate
0.91Avg K/D
70.6ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6447%0.8413.0
Nuke6448%1.0614.7
Dust24953%0.7911.9
Inferno4356%1.0515.1
Ancient3951%0.9514.2
Anubis2627%0.7713.4
Overpass1354%0.7712.1
Train1258%0.8814.3

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.

23.5%Headshot accuracy
32.3%Accuracy (enemy spotted)
28.3%Spray accuracy
85.7%Counter-strafing
10.5°Preaim
582msReaction time
70.7%T opening success
45.6%CT opening success
0.45Enemies flashed / flash
15.0%Flash assists
13.40HE damage / grenade
3.46Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4465 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–130.0519%11 Oct →
nuke9–13-0.0211%11 Oct →
nuke13–7-0.0218%11 Oct →
anubis13–2-0.0819%11 Oct →
inferno13–110.0431%11 Oct →
mirage0–13-0.1126%10 Oct →
anubis13–70.0623%10 Oct →
italy13–80.0131%10 Oct →
ancient10–130.0426%9 Oct →
inferno13–90.0927%9 Oct →
vertigo9–13-0.0426%8 Oct →
ancient13–6-0.0214%8 Oct →
nuke12–12-0.0932%8 Oct →
inferno13–9-0.0326%8 Oct →
inferno10–130.0226%8 Oct →
anubis13–90.0228%7 Oct →
ancient13–50.0220%7 Oct →
dust22–13-0.0521%7 Oct →
anubis12–120.1030%7 Oct →
nuke13–5-0.0024%7 Oct →
inferno6–130.0220%6 Oct →
anubis13–50.0222%6 Oct →
nuke12–12-0.0421%6 Oct →
inferno0–130.0122%6 Oct →
anubis12–12-0.0320%5 Oct →
ancient10–30.0211%5 Oct →
cache13–60.0519%4 Oct →
nuke13–10-0.0122%4 Oct →
cache13–6-0.0134%4 Oct →
inferno13–110.0226%3 Oct →
mirage13–6-0.0824%3 Oct →
nuke13–6-0.1321%3 Oct →
inferno6–13-0.0610%3 Oct →
dust213–11-0.0025%3 Oct →
nuke13–40.0424%2 Oct →
mirage3–13-0.0750%2 Oct →
ancient13–10.0236%2 Oct →
nuke13–40.0821%2 Oct →
anubis13–70.0423%2 Oct →
vertigo12–12-0.0413%2 Oct →
anubis9–13-0.0741%2 Oct →
ancient13–8-0.0219%2 Oct →
mirage13–20.0160%2 Oct →
nuke13–2-0.0124%2 Oct →
vertigo13–1-0.0333%2 Oct →
anubis13–40.0619%2 Oct →
nuke7–10.0160%2 Oct →
nuke12–12-0.0626%1 Oct →
inferno8–130.0431%1 Oct →
ancient12–12-0.0225%1 Oct →
anubis13–0-0.0212%1 Oct →
nuke3–13-0.0414%30 Sept →
vertigo13–80.1233%30 Sept →
anubis6–13-0.0213%30 Sept →
rush_0018–50.1421%30 Sept →
rush_0014–00.1338%30 Sept →
rush_0013–7-0.0880%30 Sept →
rush_0014–00.1350%30 Sept →
mirage5–13-0.0723%30 Sept →
rush_0015–1-0.0120%30 Sept →
nuke13–40.0212%30 Sept →
nuke13–10-0.0429%29 Sept →
inferno13–80.0213%29 Sept →
nuke12–120.0523%29 Sept →
mirage13–20.0530%29 Sept →
inferno13–110.1018%28 Sept →
nuke10–130.0119%27 Sept →
mirage11–20.0410%27 Sept →
anubis13–90.0116%27 Sept →
overpass9–13-0.0415%26 Sept →
nuke13–9-0.0219%26 Sept →
anubis2–130.0234%26 Sept →
train13–8-0.0613%26 Sept →
overpass13–70.0017%26 Sept →
inferno13–80.1729%25 Sept →
nuke13–70.0723%25 Sept →
anubis15–15-0.0412%25 Sept →
inferno6–9-0.108%25 Sept →
nuke5–9-0.0113%25 Sept →
ancient11–13-0.0527%25 Sept →
vertigo12–12-0.0724%25 Sept →
nuke13–60.0115%25 Sept →
vertigo4–13-0.1014%25 Sept →
inferno13–90.0139%24 Sept →
italy13–8-0.0514%23 Sept →
ancient7–13-0.0113%23 Sept →
nuke9–130.0127%23 Sept →
dust29–13-0.0323%23 Sept →
anubis9–130.0323%23 Sept →
mirage13–70.0317%23 Sept →
nuke9–13-0.0028%23 Sept →
inferno13–10.0321%23 Sept →
train13–4-0.0913%22 Sept →
anubis13–4-0.0113%22 Sept →
dust213–70.0029%22 Sept →
inferno11–130.0316%22 Sept →
ancient12–120.0424%22 Sept →
nuke5–130.0426%22 Sept →
inferno13–80.1024%22 Sept →
inferno10–13-0.0915%21 Sept →

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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