L4mpe

L4mpe — CS2 Stats

76561198840252983[U:1:879987255]Steam profile ↗

2,692Tracked matches48%Win rate2020Tracked since
CSDB Rating3.4 Learning
Premier CS Rating17,334Purple band · top ~19.1% of ranked players (population est.)
CSDB Leaderboard#8932 of 15620 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGL4mpePREMIER17,334 · Purple bandcsdb.gg/stats

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Performance scores

Aim33
Positioning33
Utility56

0–100 skill scores via Leetify.

Recent form

COLD40564Last 10040%Win rateLLLLLLTLWW

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

Player DNA

Aim3.3
Aggression0.6
Utility5.6
Positioning3.3
Opening Duels0.0
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.

Your pro match

NiKo

Plays most like NiKo 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 642ms 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

Aim3.3
Positioning3.3
Utility5.6
Mechanics3.4
Opening Duels0.0
Win Impact4.4

Composite 3.4/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time635ms+40ms
first ⅓ avg 595ms → last ⅓ avg 635ms
Headshot accuracy17.1%+3.5%
first ⅓ avg 13.6% → 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.

Highlights

0.10Best rating — anubis 15–15
130Biggest win — cache
6Longest win streak
L6Current streak
39In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 64% over 11ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC1981142%-0.03
cacheC1661038%-0.01
nukeB137654%0.00
ancientD123925%-0.04
anubisD123925%0.00
mirageA117464%-0.03
dust2D93633%-0.03
train31233%0.00
overpass21150%0.01
vertigo2020%-0.01
shelter110100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,822Matches
49%Win rate
0.88Avg K/D
73.8ADR
32%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke10354%0.9513.3
Vertigo7650%0.7912.3
Ancient7341%0.8813.1
Inferno6843%0.9513.0
Anubis5340%0.9113.8
Overpass4659%0.9512.0
Mirage2352%0.8811.7
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.

16.1%Headshot accuracy
32.2%Accuracy (enemy spotted)
36.4%Spray accuracy
65.1%Counter-strafing
14.1°Preaim
642msReaction time
14.0%T opening success
24.8%CT opening success
0.60Enemies flashed / flash
2.0%Flash assists
8.80HE damage / grenade
9.01Flashes / 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 14.0674° — above the 12° mark we flag

    Aim Training
Spend your practice time on Ancient

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
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
cache9–13-0.019%31 May
anubis15–150.1018%30 May
cache13–7-0.0413%30 May
ancient8–13-0.0521%30 May
anubis5–130.0316%30 May
anubis13–4-0.0213%30 May
inferno2–13-0.0929%29 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 →