Lepe

Lepe — CS2 Stats

76561198306473933[U:1:346208205]Steam profile ↗✓ No bans

444Tracked matches67%Win rate2022Tracked since
CSDB Rating5.7 SolidSupport
Premier CS Rating24,669Top 25% of 190,010 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)
CSDB Leaderboard#24329 of 238155 tracked
FaceitLevel 5 · 1,142 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 5 Feb 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 24,669 +6,407 5 Feb20 Sept · 29 days played
15,34524,669peak 24,6695 Feb20 Sept
24,669Peak Premier in tracked matches
1,142Highest Faceit ELO seen on CSDB
36Days played since 2026-02-05

Faceit ELO

  • At peak — 1,142
  • Next: Level 6 at 1,201 59 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • At peak — 24,669
  • Next: Red band at 25,000 331 to go
  • Reached: Pink band · 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.GGLepeFACEITLevel 5 · 1,142 ELOSTANDINGTop 67.6% of rankedPREMIER24,669 · Pink bandPEAK ELO1,142csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim59
Positioning54
Utility56

0–100 skill scores via Leetify.

Recent form

HOT50482Last 10050%Win rateWWLWLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −2.1pp headshot accuracy · −36ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 539ms

Last 10

  • 82 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 560ms

Last 20

  • 146 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 578ms

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: SupportUtility contribution stands above the rest of this profile (+1.5 against its own average).

Aim5.9
Utility5.6
Positioning5.4
Opening Duels2.1
Clutch3.2

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

NiKo

Plays most like NiKo 77% 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

Reaction time. 583ms 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

Aim5.9
Positioning5.4
Utility5.6
Mechanics4.7
Opening Duels1.8
Win Impact10.0

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 time602ms−62ms
first ⅓ avg 664ms → last ⅓ avg 602ms
Headshot accuracy22.1%+2.2%
first ⅓ avg 19.9% → last ⅓ avg 22.1%

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

0.13Best match rating · 13–2 · cache, 18 Sept
40%Best headshot accuracy · 13–8 · dust2, 16 Feb
438msFastest reaction time · 13–9 · dust2, 20 Sept
13–1Biggest win · nuke, 23 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
85In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 83% over 12mirageWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C26111542%-0.01
infernoB1991047%-0.00
ancientB189950%-0.00
nukeS1210283%-0.01
mirageD124833%-0.02
anubisA53260%0.02
cache42250%0.04
overpass32167%-0.01
vertigo1010%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

111Matches
52%Win rate
1.03Avg K/D
76.3ADR
49%Headshot %

Clutches & streaks

36%1v1 clutch win
28%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust23148%1.0514.9
Ancient2654%0.9614.7
Inferno1878%1.2616.6
Mirage1331%0.7415.0
Nuke1362%1.0514.5
Overpass30%0.8716.3
Anubis250%0.7614.0
Vertigo10%1.3535.0

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.

20.8%Headshot accuracy
30.7%Accuracy (enemy spotted)
33.4%Spray accuracy
71.0%Counter-strafing
9.5°Preaim
583msReaction time
37.8%T opening success
36.9%CT opening success
0.58Enemies flashed / flash
8.2%Flash assists
10.28HE damage / grenade
4.64Flashes / 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 37.8481% — below the 40% mark we flag

Spend your practice time on Mirage

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 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–9-0.0816%20 Sept
cache13–30.0119%20 Sept
vertigo17–190.0619%20 Sept
nuke13–11-0.0610%18 Sept
cache4–13-0.0318%18 Sept
inferno13–10-0.0125%18 Sept
nuke13–10-0.068%18 Sept
cache13–20.1324%18 Sept
dust213–7-0.0215%18 Sept
mirage13–50.0537%16 Sept
inferno6–130.0015%16 Sept
dust26–13-0.0723%16 Sept
mirage19–16-0.0119%14 Sept
dust213–80.0524%12 Sept
ancient13–7-0.0012%12 Sept
dust213–10-0.0418%10 Sept
ancient13–50.0516%10 Sept
inferno4–13-0.0738%10 Sept
cache9–130.0427%2 Sept
mirage13–11-0.0117%2 Sept
inferno13–100.0613%23 Aug
ancient13–70.0521%23 Aug
nuke13–10.0740%23 Aug
anubis13–11-0.0121%17 Aug
inferno13–8-0.0627%23 May
nuke13–7-0.0523%22 May
nuke8–13-0.0317%22 May
mirage8–13-0.0426%22 May
dust213–160.0526%22 May
mirage4–13-0.0326%21 May
inferno6–13-0.0318%21 May
dust27–130.0137%21 May
dust26–13-0.0732%12 May
ancient13–10-0.0427%12 May
dust212–16-0.0313%9 May
ancient8–13-0.0115%9 May
ancient12–16-0.0118%7 Apr
inferno1–13-0.0913%6 Apr
dust23–13-0.089%6 Apr
inferno13–110.0222%5 Apr
dust27–130.0225%5 Apr
nuke13–110.0617%5 Apr
mirage5–13-0.0514%5 Apr
mirage9–13-0.0123%30 Mar
dust210–13-0.0822%30 Mar
nuke13–60.0122%30 Mar
ancient13–70.0323%25 Mar
nuke13–50.0516%25 Mar
mirage11–13-0.0418%25 Mar
dust27–130.0218%25 Mar
anubis9–13-0.0025%25 Mar
dust213–8-0.0119%25 Mar
inferno8–130.0626%24 Mar
ancient13–11-0.0324%24 Mar
anubis9–130.0118%24 Mar
dust213–11-0.0423%24 Mar
inferno13–80.0637%24 Mar
mirage16–130.0231%24 Mar
nuke13–5-0.0531%24 Mar
overpass8–13-0.0416%17 Mar
mirage10–13-0.0216%17 Mar
ancient10–13-0.0325%16 Mar
dust26–13-0.047%16 Mar
dust213–100.0224%16 Mar
ancient2–13-0.0428%5 Mar
anubis13–60.0634%4 Mar
inferno13–2-0.0219%4 Mar
inferno15–15-0.0326%3 Mar
dust213–5-0.0217%3 Mar
nuke13–10-0.0317%3 Mar
dust210–130.0228%26 Feb
ancient12–16-0.0611%26 Feb
overpass13–40.0520%24 Feb
ancient13–40.0611%24 Feb
dust26–13-0.0116%24 Feb
overpass13–5-0.0314%24 Feb
dust210–13-0.0411%23 Feb
mirage11–13-0.0323%19 Feb
ancient10–13-0.0513%19 Feb
inferno13–90.0120%19 Feb
ancient5–00.026%19 Feb
ancient8–13-0.0215%18 Feb
dust210–13-0.0228%18 Feb
dust210–13-0.0828%18 Feb
inferno16–14-0.0416%17 Feb
mirage13–16-0.0618%16 Feb
ancient15–150.0222%16 Feb
inferno11–130.0923%16 Feb
dust213–80.0540%16 Feb
inferno13–40.1335%15 Feb
inferno2–13-0.0213%14 Feb
ancient8–13-0.0316%14 Feb
nuke11–130.0122%14 Feb
inferno10–130.0124%14 Feb
dust213–20.0828%9 Feb
anubis13–40.0427%9 Feb
nuke13–8-0.0125%9 Feb
ancient13–80.0216%9 Feb
dust213–40.0114%9 Feb
inferno3–13-0.1619%5 Feb

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 →