Leonardo — CS2 Stats

76561198090812370[U:1:130546642]✓ No bans

1,319Tracked matches53%Win rate2020Tracked since
3,168Hours in CS
CSDB Rating4.3 Developing
FaceitLevel 8 · 1,579 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGLeonardoFACEITLevel 8 · 1,579 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning41
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY56395Last 10056%Win rateWLWLWLWLWW

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Aim5.6
Aggression5.6
Utility4.1
Positioning4.1
Opening Duels1.4
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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

Reaction time. 552ms 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

Aim5.6
Positioning4.1
Utility4.1
Mechanics4.7
Opening Duels1.4
Win Impact6.1

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time533ms−16ms
first ⅓ avg 549ms → last ⅓ avg 533ms
Headshot accuracy12.5%+0.2%
first ⅓ avg 12.3% → last ⅓ avg 12.5%

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.

Highlights

0.21Best rating — office 5–0
130Biggest win — mirage
7Longest win streak
97In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 80% over 10nukeWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA32181456%0.01
infernoB126650%-0.01
trainA117464%0.02
dust2S108280%0.02
nukeC94544%0.01
ancientC94544%-0.02
overpassA95456%-0.04
anubis32167%0.06
vertigo31233%-0.03
office21150%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,373Lifetime kills
0.82K/D
7,871Matches
34.7%Match win rate
29.3%Headshot %
14.7%Shot accuracy · Top 50% of tracked players
9,876MVPs
3,168Hours (in match)
4,149Bombs planted
1,067Bombs defused

Most-used weapons

AK-4715,639
AWP13,558
SSG 082,639
Knife2,177
MAC-102,000

Lifetime map wins

5,068dust2
4,297office
3,336inferno
2,063nuke
1,616train
1,139vertigo
804cbble
84assault

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

Faceit stats

Combat

257Matches
54%Win rate
1.15Avg K/D
85.0ADR
35%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage7949%1.1117.2
Inferno3560%1.1415.7
Anubis3244%1.1517.2
Nuke2752%1.1817.0
Dust22770%1.2415.2
Train2462%1.3015.5
Overpass1662%1.2215.3
Ancient1346%0.9816.1

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.

13.2%Headshot accuracy
33.8%Accuracy (enemy spotted)
33.7%Spray accuracy
71.2%Counter-strafing
10.1°Preaim
552msReaction time
34.0%T opening success
37.5%CT opening success
0.42Enemies flashed / flash
5.0%Flash assists
8.49HE damage / grenade
6.78Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.164% — below the 15% mark we flag

    Aim Training
  2. 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 0.4223 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 33.9863% — below the 40% mark we flag

Spend your practice time on Nuke

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke16–13-0.0119%14 Jul
nuke3–130.0419%7 Jun
dust213–11-0.0118%3 Jun
ancient1–110.0012%3 Jun
mirage13–1-0.0311%2 Jun
mirage7–13-0.026%3 Apr
anubis13–8-0.0112%15 Mar
office4–13-0.050%12 Mar
vertigo13–3-0.0110%11 Mar
mirage7–3-0.0111%27 Jan
nuke8–130.019%12 Dec
mirage13–50.1121%7 Dec
nuke13–50.0518%7 Dec
dust213–5-0.069%6 Dec
overpass13–6-0.038%4 Dec
mirage7–13-0.007%19 Nov
inferno4–13-0.1030%19 Nov
mirage6–13-0.0310%19 Nov
inferno0–20.000%19 Nov
train13–70.1017%12 Nov
inferno13–50.0825%10 Nov
anubis13–60.168%10 Nov
mirage11–13-0.059%9 Nov
train4–13-0.1012%9 Nov
office5–00.2133%8 Nov
ancient7–13-0.0510%7 Nov
mirage6–13-0.0216%4 Nov
mirage6–13-0.0210%31 Oct
inferno13–70.0111%29 Oct
train13–80.0213%26 Oct
overpass16–14-0.025%26 Oct
mirage13–4-0.079%26 Oct
ancient13–10-0.034%25 Oct
dust213–60.0227%25 Oct
inferno13–100.0013%13 Oct
mirage8–130.007%12 Oct
mirage15–15-0.0112%12 Oct
mirage13–6-0.029%12 Oct
overpass12–120.028%11 Oct
dust210–130.0013%11 Oct
train13–110.079%8 Oct
inferno4–13-0.0311%8 Oct
mirage5–130.0210%8 Oct
mirage4–130.042%7 Oct
inferno13–40.0621%4 Oct
mirage13–100.058%4 Oct
mirage13–110.0517%2 Oct
overpass3–13-0.1210%29 Sept
inferno13–70.0416%28 Sept
mirage14–160.0414%28 Sept
overpass6–2-0.0821%28 Sept
dust27–13-0.0617%28 Sept
nuke8–13-0.0113%28 Sept
nuke7–13-0.0513%21 Sept
mirage13–60.066%15 Sept
dust25–10.0114%15 Sept
ancient15–15-0.018%13 Sept
inferno5–130.0412%13 Sept
dust213–100.0212%13 Sept
mirage16–14-0.0015%12 Sept
overpass13–10-0.085%11 Sept
dust213–80.1019%11 Sept
mirage22–200.0710%10 Sept
mirage13–70.0813%9 Sept
overpass9–130.008%9 Sept
dust213–10.1236%8 Sept
overpass13–80.079%6 Sept
inferno13–100.018%5 Sept
nuke16–130.0114%5 Sept
ancient13–6-0.048%5 Sept
ancient10–13-0.056%5 Sept
nuke15–15-0.0211%4 Sept
overpass11–13-0.0811%4 Sept
mirage13–80.0223%4 Sept
vertigo2–9-0.093%30 Aug
ancient13–110.0013%19 Aug
inferno2–9-0.275%19 Aug
train13–8-0.008%19 Aug
mirage8–13-0.069%8 Aug
train13–70.019%8 Aug
train13–80.0713%8 Aug
mirage13–40.0412%7 Aug
mirage13–110.0310%9 Jul
inferno15–150.018%8 Jul
mirage13–70.076%7 Jul
nuke13–80.078%6 Jul
ancient13–11-0.028%4 Jul
mirage13–9-0.0111%3 Jul
ancient0–20.000%2 Jul
dust213–60.0019%2 Jul
train5–13-0.0012%1 Jul
mirage13–40.0020%1 Jul
anubis11–130.0213%29 Jun
vertigo4–130.0228%28 Jun
train13–40.0416%21 Jun
train11–130.0013%21 Jun
mirage8–130.0113%21 Jun
mirage8–13-0.0415%20 Jun
train7–13-0.0312%18 Jun
mirage13–00.1244%16 Jun

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 →