lep__pel — CS2 Stats

76561198138283284[U:1:178017556]

1,772Tracked matches64%Win rate2020Tracked since
CSDB Rating5.7 SolidPassive Rifler
Premier CS Rating20,926Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)
CSDB Leaderboard#10717 of 30171 tracked
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGlep__pelPREMIER20,926 · Pink bandcsdb.gg/stats

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Performance scores

Aim71
Positioning42
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY56413Last 10056%Win rateLLLWWWWWLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim7.1
Aggression3.7
Utility5.4
Positioning4.2
Opening Duels0.1
Clutch2.6

Strong CT-side openerEffective flashes

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 84% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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 41% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 552ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim7.1
Positioning4.2
Utility5.4
Mechanics4.4
Opening Duels1.3
Win Impact9.8

Composite 5.7/10 (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 rating-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time559ms−80ms
first ⅓ avg 639ms → last ⅓ avg 559ms
Headshot accuracy17.3%−5.0%
first ⅓ avg 22.2% → last ⅓ avg 17.3%

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

0.13Best rating — cache 13–1
130Biggest win — inferno
5Longest win streak
L3Current streak
136In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 80% over 15infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB27131448%-0.01
dust2A27151256%0.02
ancientS1512380%0.01
cacheS139469%0.02
infernoC104640%-0.03
anubis43175%-0.02
nuke4040%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

83Matches
53%Win rate
0.86Avg K/D
75.3ADR
33%Headshot %

Clutches & streaks

33%1v1 clutch win
40%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2967%0.9412.4
Mirage757%1.2617.3
Nuke475%0.9414.3
Cache40%0.8817.0
Anubis250%1.1817.5
Inferno10%0.8917.0
Overpass1100%0.6813.0

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.

18.1%Headshot accuracy
38.2%Accuracy (enemy spotted)
39.3%Spray accuracy
69.8%Counter-strafing
10.4°Preaim
552msReaction time
20.4%T opening success
40.6%CT opening success
0.72Enemies flashed / flash
7.3%Flash assists
9.52HE damage / grenade
14.16Flashes / 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 20.405% — below the 40% mark we flag

Spend your practice time on Inferno

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0418%27 Aug
mirage1–13-0.1029%25 Aug
mirage9–13-0.0420%25 Aug
inferno13–0-0.058%25 Aug
dust213–5-0.0216%25 Aug
mirage13–30.0719%25 Aug
mirage13–8-0.0015%24 Aug
dust213–100.0924%24 Aug
mirage10–13-0.059%24 Aug
cache3–13-0.1311%24 Aug
ancient16–130.0220%23 Aug
inferno8–13-0.0123%23 Aug
cache13–6-0.0013%23 Aug
inferno15–15-0.0019%23 Aug
ancient13–11-0.0213%23 Aug
dust29–13-0.0222%23 Aug
ancient13–11-0.0120%23 Aug
mirage13–110.0320%20 Aug
inferno13–90.0016%20 Aug
ancient13–30.0124%20 Aug
ancient13–90.0415%20 Aug
mirage4–130.0212%19 Aug
dust213–8-0.0426%19 Aug
dust213–100.0726%19 Aug
cache13–10.1317%19 Aug
mirage3–13-0.128%19 Aug
anubis13–11-0.0112%19 Aug
mirage15–15-0.0424%18 Aug
mirage6–13-0.0217%17 Aug
dust213–6-0.0118%17 Aug
cache13–40.0914%17 Aug
dust213–80.0414%17 Aug
dust213–60.019%17 Aug
inferno10–13-0.0222%16 Aug
cache16–130.0610%16 Aug
dust213–80.1016%16 Aug
cache10–13-0.0322%16 Aug
mirage13–100.0727%16 Aug
ancient13–8-0.0112%16 Aug
ancient13–160.0115%16 Aug
nuke10–130.0320%12 Aug
mirage10–130.0119%12 Aug
mirage8–13-0.0533%12 Aug
nuke11–130.0111%12 Aug
inferno16–140.0518%12 Aug
mirage8–130.0015%12 Aug
dust213–30.0621%12 Aug
cache13–110.0515%11 Aug
ancient13–50.1127%10 Aug
mirage13–9-0.0116%10 Aug
anubis13–11-0.0115%10 Aug
mirage2–13-0.0817%10 Aug
ancient14–16-0.058%9 Aug
dust213–60.0313%9 Aug
cache11–130.0119%9 Aug
mirage6–13-0.0218%9 Aug
mirage8–13-0.0514%9 Aug
dust213–110.0021%9 Aug
ancient8–13-0.0311%9 Aug
cache16–130.0519%9 Aug
dust29–130.0933%9 Aug
dust210–13-0.0412%9 Aug
mirage16–14-0.0512%9 Aug
mirage13–00.0323%9 Aug
dust214–160.0124%8 Aug
nuke8–13-0.0415%8 Aug
dust213–100.0411%8 Aug
mirage13–60.0520%3 Aug
mirage13–30.0322%3 Aug
mirage13–110.0414%31 Jul
ancient13–9-0.0114%31 Jul
dust29–13-0.0117%29 Jul
dust213–9-0.0219%28 Jul
ancient13–100.0013%28 Jul
dust215–150.0216%27 Jul
dust214–160.0018%27 Jul
cache10–13-0.0114%26 Jul
cache13–50.0322%26 Jul
dust216–120.0520%26 Jul
ancient13–70.0115%23 Jul
dust27–13-0.0323%23 Jul
nuke7–130.019%20 Jul
cache13–40.006%20 Jul
dust28–130.0430%20 Jul
anubis4–13-0.0616%19 Jul
anubis13–00.0075%18 Jul
inferno4–9-0.0125%18 Jul
inferno4–9-0.0919%18 Jul
inferno5–9-0.1620%18 Jul
mirage16–140.0013%18 Jul
ancient13–9-0.0122%18 Jul
cache13–11-0.0315%18 Jul
dust21–40.02100%18 Jul
inferno13–8-0.0320%18 Jul
mirage13–11-0.0116%15 Jul
mirage13–30.0314%15 Jul
dust213–90.0416%15 Jul
ancient13–60.1020%15 Jul
dust29–13-0.0424%14 Jul
dust211–13-0.0328%13 Jul

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 →