Lecskobli — CS2 Stats

76561198416359833[U:1:456094105]

631Tracked matches45%Win rate2020Tracked since
CSDB Rating6.4 SolidHybrid Rifler
Premier CS Rating22,460Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#12481 of 49777 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGLecskobliFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER22,460 · Pink bandcsdb.gg/stats

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Performance scores

Aim87
Positioning54
Utility60

0–100 skill scores via Leetify.

Recent form

COLD47512Last 10047%Win rateLLWLLWLWLL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.7
Aggression5.6
Utility6.0
Positioning5.4
Opening Duels2.1
Clutch4.2

Sharp aimer

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 94% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Reaction time. 576ms 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

Aim8.7
Positioning5.4
Utility6.0
Mechanics7.9
Opening Duels2.1
Win Impact3.3

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time586ms+14ms
first ⅓ avg 573ms → last ⅓ avg 586ms
Headshot accuracy22.6%+4.9%
first ⅓ avg 17.7% → last ⅓ avg 22.6%

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

0.19Best rating — inferno 9–5
130Biggest win — dust2
6Longest win streak
L2Current streak
66In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 67% over 9nukeWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA22121055%-0.01
infernoC1761135%-0.01
anubisA148657%0.02
cacheS96367%0.02
dust2C94544%0.01
ancientC83538%-0.00
nukeD71614%-0.03
vertigoC52340%-0.00
train31233%-0.04
overpass32167%-0.01
office21150%0.02
italy110100%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

398Matches
57%Win rate
1.18Avg K/D
84.4ADR
44%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage6352%1.0515.5
Inferno3456%1.1716.7
Ancient3361%1.1817.2
Anubis3155%1.2018.1
Dust21242%1.0514.2
Overpass978%1.3516.4
Cache862%1.3917.0
Nuke850%1.4819.0

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.

22.7%Headshot accuracy
38.5%Accuracy (enemy spotted)
41.8%Spray accuracy
85.7%Counter-strafing
8.8°Preaim
576msReaction time
36.8%T opening success
40.3%CT opening success
0.65Enemies flashed / flash
5.2%Flash assists
7.13HE damage / grenade
12.91Flashes / 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 36.8459% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient2–11-0.0714%14 Aug
train2–9-0.0810%13 Aug
train13–100.0012%13 Aug
inferno4–13-0.0126%7 Aug
mirage1–13-0.0140%2 Aug
anubis13–50.0312%2 Aug
ancient10–13-0.0118%1 Aug
mirage13–30.0924%1 Aug
cache0–3-0.020%1 Aug
anubis14–160.0227%31 Jul
mirage13–50.0116%30 Jul
vertigo13–70.0316%30 Jul
vertigo9–13-0.0315%29 Jul
vertigo2–6-0.0567%29 Jul
inferno3–13-0.0516%25 Jul
mirage13–50.0231%19 Jul
ancient7–130.0224%18 Jul
dust24–13-0.0422%17 Jul
cache5–130.0146%17 Jul
inferno15–150.0317%16 Jul
nuke11–13-0.0023%16 Jul
mirage16–130.0329%15 Jul
cache13–40.0214%15 Jul
mirage1–13-0.0550%15 Jul
anubis13–80.0324%12 Jul
mirage7–130.0515%11 Jul
anubis13–80.0518%11 Jul
mirage13–70.0322%11 Jul
cache13–20.0524%10 Jul
inferno13–10.0118%10 Jul
dust213–11-0.0316%5 Jul
mirage16–13-0.0020%5 Jul
mirage9–13-0.0720%5 Jul
inferno9–40.0129%1 Jul
nuke1–9-0.2433%1 Jul
inferno11–13-0.0326%1 Jul
inferno8–13-0.1012%30 Jun
inferno2–13-0.0618%26 Jun
mirage13–10-0.0113%26 Jun
ancient13–160.0520%23 Jun
mirage13–1-0.0319%22 Jun
dust24–13-0.0324%22 Jun
ancient9–13-0.0512%21 Jun
dust213–30.0519%20 Jun
inferno9–50.1930%19 Jun
mirage13–9-0.0526%19 Jun
dust212–160.0117%16 Jun
mirage16–130.0017%14 Jun
nuke10–130.0424%14 Jun
overpass13–100.0220%12 Jun
ancient13–2-0.0126%11 Jun
dust213–00.0431%11 Jun
mirage9–13-0.0123%11 Jun
nuke11–13-0.0511%11 Jun
inferno13–80.0113%10 Jun
overpass13–11-0.0115%10 Jun
vertigo13–40.0618%3 Jun
vertigo9–13-0.0314%3 Jun
mirage13–9-0.0222%2 Jun
mirage10–130.0119%1 Jun
anubis10–130.0125%31 May
anubis13–110.0214%27 May
anubis13–110.0518%27 May
anubis10–13-0.0219%24 May
ancient13–30.0511%24 May
inferno13–110.0512%22 May
nuke11–13-0.0017%21 May
dust213–40.0723%20 May
inferno11–13-0.0117%18 May
inferno4–13-0.0213%17 May
overpass7–13-0.0512%17 May
cache13–110.0527%16 May
mirage3–13-0.0819%16 May
cache10–130.0412%8 May
cache13–80.0224%5 May
cache13–80.0722%3 May
train4–13-0.0524%28 Apr
anubis9–130.0116%26 Apr
inferno13–30.0417%26 Apr
cache13–7-0.027%23 Apr
mirage8–13-0.0422%23 Apr
dust29–130.0431%19 Apr
nuke8–13-0.0012%17 Apr
mirage9–13-0.0425%16 Apr
anubis13–80.0518%11 Apr
anubis8–13-0.027%10 Apr
ancient13–9-0.039%5 Apr
anubis13–90.0522%4 Apr
anubis5–13-0.0215%27 Mar
mirage13–80.0427%22 Mar
nuke13–20.039%22 Mar
office13–100.0327%21 Mar
italy13–70.0820%21 Mar
office9–130.0218%21 Mar
mirage3–13-0.0616%15 Mar
inferno3–12-0.1124%15 Mar
inferno2–13-0.0415%15 Mar
inferno8–8-0.017%15 Mar
dust26–13-0.0615%14 Mar
anubis13–70.0112%13 Mar

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →