L4mpe

L4mpe — CS2 Stats

76561198840252983[U:1:879987255]Steam profile ↗✓ No bans

2,708Tracked matches44%Win rate2020Tracked since
CSDB Rating3.5 LearningSupport
Premier CS Rating17,334Purple band · top ~19.1% of ranked players (population est.)
FaceitLevel 4 · 1,046 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 17,334 → 17,334
0Faceit ELO · 1,046 → 1,046
+5Tracked matches · now 2,708
0.0ppWin rate · 44.4% → 44.4%

Rating over time

Premier CS Rating: 17,334 +749 31 May – 25 Sept · 14 days played
15,65917,364peak 17,36431 May25 Sept
Faceit ELO: 1,046 +0 28 Aug – 25 Sept · 5 observations
1,0461,046peak 1,04628 Aug25 Sept
17,364Peak Premier in tracked matches
1,046Highest Faceit ELO seen on CSDB
32Days played since 2026-05-31

Faceit ELO

  • At peak — 1,046
  • 0 over 30 days · steady
  • Next: Level 5 at 1,051 — 5 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-28
  • Level 3 first seen 2026-08-28

Premier CS Rating

  • 30 below peak (17,364)
  • 0 over 30 days · steady
  • +283 over 90 days
  • Next: Pink band at 20,000 — 2,666 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGL4mpeFACEITLevel 4 · 1,046 ELOSTANDINGTop 81.0% of rankedPREMIER17,334 · Purple band30 DAYS0 ELOPEAK ELO1,046csdb.gg/stats

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Performance scores

Aim35
Positioning37
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateWWLLWWLLLL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −1.7pp headshot accuracy · −91ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 533ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 555ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 600ms

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 (+2.2 against its own average).

Aim3.5
Utility5.6
Positioning3.7
Opening Duels0.2
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

ZywOo

Plays most like ZywOo 64% 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. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim3.5
Positioning3.7
Utility5.6
Mechanics3.4
Opening Duels0.5
Win Impact3.1

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time634ms+22ms
first ⅓ avg 612ms → last ⅓ avg 634ms
Headshot accuracy17.1%+4.1%
first ⅓ avg 12.9% → last ⅓ avg 17.1%

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

0.12Best match rating · 19–16 · inferno, 29 Aug →
40%Best headshot accuracy · 1–13 · dust2, 20 Aug →
422msFastest reaction time · 3–13 · nuke, 26 Jun →
13–0Biggest win · cache, 7 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
3–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 67% over 12anubisWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB199–1047%-0.02
nukeB147–750%-0.01
cacheC145–936%-0.01
ancientD124–833%-0.04
mirageS128–467%-0.02
dust2C114–736%-0.02
anubisD102–820%-0.01
train—31–233%0.00
overpass—21–150%0.01
vertigo—20–20%-0.01
shelter—11–0100%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,830Matches
49%Win rate
0.88Avg K/D
74.3ADR
32%Headshot %

Clutches & streaks

41%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke10454%0.9513.4
Vertigo7650%0.7912.3
Ancient7441%0.8913.2
Inferno6943%0.9613.3
Anubis5439%0.9013.8
Overpass4659%0.9512.0
Mirage2552%0.9412.2
Train1856%1.1217.9

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.

16.3%Headshot accuracy
32.3%Accuracy (enemy spotted)
36.0%Spray accuracy
65.1%Counter-strafing
14.0°Preaim
622msReaction time
22.1%T opening success
34.0%CT opening success
0.57Enemies flashed / flash
2.5%Flash assists
9.05HE damage / grenade
8.32Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.0199° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Anubis

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust219–150.0718%9 Oct →
inferno19–160.1211%29 Aug →
nuke6–13-0.0810%29 Aug →
anubis1–13-0.1026%29 Aug →
ancient13–6-0.017%29 Aug →
mirage13–80.0213%27 Aug →
dust211–130.0019%25 Aug →
inferno9–13-0.0813%20 Aug →
dust21–13-0.0340%20 Aug →
cache11–13-0.028%18 Aug →
ancient4–13-0.0813%18 Aug →
overpass10–13-0.0619%18 Aug →
inferno5–13-0.0631%18 Aug →
train12–120.0217%18 Aug →
cache7–13-0.0914%14 Aug →
nuke13–10-0.0315%13 Aug →
ancient13–8-0.0524%13 Aug →
mirage13–9-0.0013%13 Aug →
cache13–30.0217%13 Aug →
inferno13–6-0.0420%13 Aug →
mirage13–8-0.0215%10 Aug →
inferno2–13-0.1116%9 Aug →
anubis6–13-0.0126%9 Aug →
ancient11–130.0115%9 Aug →
inferno12–120.016%9 Aug →
inferno10–13-0.0218%8 Aug →
ancient12–12-0.0527%8 Aug →
nuke13–3-0.0226%7 Aug →
inferno16–120.006%7 Aug →
cache8–13-0.108%7 Aug →
cache13–0-0.0413%7 Aug →
anubis13–60.0116%7 Aug →
nuke13–70.0426%7 Aug →
mirage13–10-0.0313%3 Aug →
dust219–160.0115%3 Aug →
anubis14–16-0.052%28 Jul →
inferno5–13-0.0019%28 Jul →
dust27–13-0.0015%27 Jul →
shelter13–60.0327%27 Jul →
mirage9–13-0.0515%27 Jul →
ancient13–8-0.0517%27 Jul →
cache14–16-0.0214%27 Jul →
inferno13–50.019%27 Jul →
nuke13–50.0522%27 Jul →
anubis13–60.0711%27 Jul →
ancient10–13-0.0813%27 Jul →
nuke16–120.0113%27 Jul →
inferno13–60.0334%26 Jul →
cache7–130.0515%26 Jul →
nuke11–130.0125%26 Jul →
mirage16–12-0.0411%26 Jul →
mirage13–11-0.0615%26 Jul →
cache13–100.0210%25 Jul →
nuke8–130.0123%25 Jul →
anubis11–13-0.0010%25 Jul →
ancient8–13-0.0017%25 Jul →
mirage13–9-0.0419%25 Jul →
cache7–130.0317%25 Jul →
nuke13–70.0421%25 Jul →
anubis6–13-0.0723%24 Jul →
anubis7–13-0.0413%24 Jul →
cache13–100.0319%12 Jul →
inferno13–30.0934%12 Jul →
inferno13–6-0.049%11 Jul →
inferno13–11-0.0315%11 Jul →
dust29–13-0.0410%11 Jul →
ancient8–13-0.0223%11 Jul →
anubis13–160.0213%11 Jul →
cache13–30.0519%7 Jul →
dust26–13-0.105%4 Jul →
mirage5–13-0.0414%4 Jul →
inferno16–130.0020%29 Jun →
cache3–13-0.046%27 Jun →
inferno4–13-0.0421%27 Jun →
ancient13–50.0311%26 Jun →
mirage4–13-0.0527%26 Jun →
nuke3–13-0.0618%26 Jun →
ancient11–13-0.0513%26 Jun →
train13–40.0611%22 Jun →
inferno5–13-0.048%14 Jun →
dust24–13-0.0514%14 Jun →
nuke13–100.0318%14 Jun →
nuke6–13-0.077%14 Jun →
cache11–13-0.0414%13 Jun →
cache9–13-0.067%6 Jun →
mirage5–130.0315%6 Jun →
nuke10–13-0.0211%6 Jun →
dust28–13-0.028%6 Jun →
mirage13–90.0215%6 Jun →
dust213–6-0.0411%6 Jun →
dust213–110.0221%6 Jun →
ancient3–13-0.109%4 Jun →
inferno3–13-0.0410%4 Jun →
nuke3–130.0122%4 Jun →
inferno5–13-0.085%4 Jun →
anubis7–130.0320%4 Jun →
vertigo8–130.019%4 Jun →
vertigo11–13-0.0211%3 Jun →
overpass13–40.0810%31 May →
train6–13-0.072%31 May →

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 →

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