eLeb

eLeb — CS2 Stats

76561198929160667[U:1:968894939]Steam profile ↗✓ No bans

2,872Tracked matches50%Win rate2020Tracked since
CSDB Rating6.1 SolidSupport
Premier CS Rating21,503Top 50% of 213,211 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#63459 of 259897 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (8 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.

Rating over time

Premier CS Rating: 21,503 +1,398 1 Jan – 27 Oct · 17 days played
19,58223,020peak 23,0201 Jan27 Oct
23,020Peak Premier in tracked matches
2,115Highest Faceit ELO seen on CSDB
49Days played since 2025-10-12

Faceit ELO

  • At peak — 2,115
  • Next: 2,500 ELO at 2,500 — 385 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

  • 1,517 below peak (23,020)
  • Next: Red band at 25,000 — 3,497 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.GGeLebPREMIER21,503 · Pink bandPEAK ELO2,115csdb.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

Aim79
Positioning51
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateWTLWWLLLLW

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · −2.5pp headshot accuracy · −34ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 22%
  • Avg reaction 614ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 606ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 622ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim7.9
Utility5.6
Positioning5.1
Opening Duels2.1
Clutch4.2

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 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 613ms 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

Aim7.9
Positioning5.1
Utility5.6
Mechanics6.1
Opening Duels3.6
Win Impact5.0

Composite 6.1/10 (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-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time621ms−33ms
first ⅓ avg 654ms → last ⅓ avg 621ms
Headshot accuracy19.2%+1.8%
first ⅓ avg 17.4% → last ⅓ avg 19.2%

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

0.15Best match rating · 9–7 · vertigo, 12 Oct →
36%Best headshot accuracy · 9–1 · mirage, 18 Oct →
438msFastest reaction time · 15–15 · mirage, 17 Oct →
13–2Biggest win · mirage, 18 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 77% over 13infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2A2313–1057%-0.01
mirageA1710–759%0.01
ancientC146–843%0.01
infernoC135–838%-0.02
nukeS1310–377%0.01
overpassB63–350%-0.04
anubis—41–325%0.01
cache—33–0100%-0.01
vertigo—31–233%-0.01
train—32–167%0.01
rooftop—10–10%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,998Matches
50%Win rate
0.99Avg K/D
74.2ADR
35%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage51850%1.0014.7
Ancient26648%0.9714.8
Dust223754%1.0014.4
Anubis21644%0.9814.8
Inferno19249%0.9814.8
Nuke15350%1.0115.2
Vertigo8944%0.9014.3
Train4770%1.0615.5

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.

19.2%Headshot accuracy
39.5%Accuracy (enemy spotted)
42.8%Spray accuracy
77.7%Counter-strafing
9.5°Preaim
613msReaction time
49.8%T opening success
39.0%CT opening success
0.55Enemies flashed / flash
4.5%Flash assists
8.74HE damage / grenade
10.02Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.9966% — 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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–90.0220%27 Oct →
inferno15–150.1016%27 Oct →
nuke14–16-0.0010%18 Oct →
mirage9–10.0536%18 Oct →
mirage13–20.1026%18 Oct →
dust27–13-0.0813%17 Oct →
anubis8–130.0319%17 Oct →
nuke5–13-0.0611%17 Oct →
dust23–13-0.0919%17 Oct →
dust213–9-0.0527%17 Oct →
dust213–10-0.0829%17 Oct →
mirage15–15-0.0125%17 Oct →
dust213–11-0.0124%17 Oct →
dust210–13-0.0215%15 Oct →
nuke13–6-0.0429%14 Oct →
dust213–50.0035%14 Oct →
nuke13–20.0014%13 Oct →
mirage11–13-0.0312%12 Oct →
inferno4–13-0.0724%12 Oct →
inferno13–100.0215%11 Oct →
anubis16–140.0819%11 Oct →
ancient13–60.0810%9 Oct →
inferno3–13-0.0314%9 Oct →
dust28–13-0.0027%9 Oct →
anubis0–6-0.0214%8 Oct →
ancient10–130.0422%8 Oct →
cache13–70.0224%5 Oct →
inferno7–13-0.068%4 Oct →
dust26–13-0.0321%4 Oct →
mirage13–110.0210%4 Oct →
dust29–13-0.0524%4 Oct →
nuke13–90.0115%30 Sept →
mirage7–13-0.108%30 Sept →
inferno7–13-0.075%29 Sept →
cache13–110.0227%24 Sept →
mirage8–130.0217%24 Sept →
ancient13–100.048%24 Sept →
ancient11–130.0111%24 Sept →
cache13–10-0.0711%22 Sept →
dust213–60.0522%22 Sept →
ancient9–13-0.018%21 Sept →
dust213–90.1322%21 Sept →
ancient11–13-0.0615%28 Apr →
inferno13–11-0.0615%27 Apr →
ancient13–100.0121%27 Apr →
dust213–80.0519%8 Mar →
inferno13–11-0.055%13 Feb →
overpass13–3-0.002%10 Feb →
mirage13–80.0611%9 Feb →
mirage19–160.028%9 Feb →
inferno6–13-0.0223%29 Jan →
inferno13–100.0312%29 Jan →
dust213–100.0520%28 Jan →
anubis9–13-0.0415%18 Jan →
vertigo11–130.0212%11 Jan →
train13–30.0713%11 Jan →
nuke16–14-0.009%9 Jan →
mirage13–70.0431%7 Jan →
dust213–10-0.0121%7 Jan →
dust213–40.0520%6 Jan →
inferno10–13-0.0515%6 Jan →
ancient5–13-0.0221%5 Jan →
dust26–13-0.0211%5 Jan →
train8–13-0.0211%5 Jan →
nuke13–5-0.0118%5 Jan →
nuke8–13-0.0412%5 Jan →
overpass7–130.0021%4 Jan →
dust210–13-0.0319%4 Jan →
ancient13–9-0.0117%4 Jan →
nuke13–7-0.0110%4 Jan →
dust211–130.0413%3 Jan →
ancient4–130.0321%3 Jan →
overpass6–13-0.089%2 Jan →
mirage13–70.0317%2 Jan →
dust213–8-0.0221%1 Jan →
inferno6–00.0527%1 Jan →
nuke13–110.0726%1 Jan →
ancient8–13-0.0415%29 Dec →
inferno11–13-0.0415%28 Dec →
nuke13–110.0018%28 Dec →
mirage1–13-0.0317%17 Dec →
dust24–13-0.0814%14 Dec →
mirage9–13-0.0215%7 Dec →
dust213–70.008%30 Nov →
overpass1–9-0.2118%24 Nov →
nuke9–30.1116%24 Nov →
vertigo1–9-0.2123%24 Nov →
mirage4–13-0.0622%20 Nov →
ancient8–13-0.0114%18 Nov →
nuke9–00.1022%2 Nov →
dust213–50.0220%1 Nov →
ancient13–9-0.0214%1 Nov →
mirage16–130.0216%1 Nov →
overpass13–50.0015%21 Oct →
train13–8-0.0410%14 Oct →
ancient13–80.0427%12 Oct →
mirage13–100.0318%12 Oct →
rooftop8–80.0216%12 Oct →
vertigo9–70.1524%12 Oct →
overpass9–60.0318%12 Oct →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.