Lun4r

Lun4r — CS2 Stats

DE76561198010948533[U:1:50682805]Steam profile ↗✓ No bans

1,066Tracked matches37%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating22,004Top 50% of 212,379 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)
CSDB Leaderboard#56162 of 259298 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (yesterday). 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: 22,004 +2,416 30 Jul – 31 Oct · 35 days played
18,23322,004peak 22,00430 Jul31 Oct
22,004Peak Premier in tracked matches
37Days played since 2026-07-30

Premier CS Rating

  • At peak — 22,004
  • +479 over 30 days · improving
  • +2,957 over 90 days
  • Next: Red band at 25,000 — 2,996 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.GGLun4rPREMIER22,004 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning51
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY38–54–8Last 10038%Win rateLLLWWWLLLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −1.1pp headshot accuracy · −41ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 597ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 598ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 618ms

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 (+1.5 against its own average).

Aim8.2
Utility6.0
Positioning5.1
Opening Duels2.5

Strong CT-side opener

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 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Reaction time. 618ms 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

Aim8.2
Positioning5.1
Utility6.0
Mechanics7.5
Opening Duels5.4
Win Impact0.7

Composite 6.2/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time619ms−53ms
first ⅓ avg 672ms → last ⅓ avg 619ms
Headshot accuracy26.4%+3.4%
first ⅓ avg 23.0% → last ⅓ avg 26.4%

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

0.11Best match rating · 13–2 · cache, 7 Aug →
54%Best headshot accuracy · 13–5 · ancient, 31 Oct →
438msFastest reaction time · 13–11 · shelter, 31 Oct →
13–2Biggest win · inferno, 19 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
4–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 40% over 20nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
cacheC228–1436%0.02
dust2C208–1240%0.01
mirageC208–1240%0.00
infernoC135–838%0.01
ancientD93–633%-0.01
anubisC83–538%-0.00
nukeD72–529%0.03
shelter—11–0100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

26.6%Headshot accuracy
35.9%Accuracy (enemy spotted)
38.8%Spray accuracy
83.7%Counter-strafing
9.8°Preaim
618msReaction time
52.9%T opening success
50.4%CT opening success
0.53Enemies flashed / flash
7.3%Flash assists
6.54HE damage / grenade
14.83Flashes / match

Recommended for you

Spend your practice time on Nuke

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0739%31 Oct →
inferno4–13-0.0515%31 Oct →
nuke3–130.1132%31 Oct →
shelter13–110.020%31 Oct →
cache13–100.0326%31 Oct →
ancient13–50.0354%31 Oct →
mirage1–13-0.1318%31 Oct →
ancient5–13-0.0123%31 Oct →
cache9–13-0.0117%30 Oct →
cache13–100.1034%30 Oct →
inferno11–13-0.0119%29 Oct →
ancient6–13-0.0135%29 Oct →
dust23–13-0.0435%29 Oct →
dust213–30.0222%27 Oct →
anubis3–130.0026%27 Oct →
mirage15–150.0028%26 Oct →
ancient5–13-0.0126%26 Oct →
cache3–13-0.0921%26 Oct →
mirage13–50.1032%25 Oct →
mirage13–16-0.0226%22 Oct →
mirage5–13-0.0827%20 Oct →
cache11–13-0.0138%20 Oct →
dust212–120.0225%19 Oct →
ancient13–60.0430%19 Oct →
mirage6–130.0115%19 Oct →
nuke12–120.0725%18 Oct →
mirage13–110.0724%18 Oct →
mirage13–7-0.0231%18 Oct →
inferno7–13-0.0033%18 Oct →
ancient13–8-0.0223%18 Oct →
anubis13–4-0.0429%15 Oct →
cache13–8-0.0219%12 Oct →
cache6–13-0.0324%12 Oct →
dust29–13-0.0224%12 Oct →
dust21–13-0.0919%5 Oct →
cache6–130.0922%5 Oct →
nuke8–130.0124%5 Oct →
cache6–13-0.0213%4 Oct →
ancient4–13-0.0516%4 Oct →
cache13–80.0619%1 Oct →
inferno13–90.0823%1 Oct →
cache13–16-0.0528%1 Oct →
dust213–4-0.0428%1 Oct →
dust210–130.0226%30 Sept →
nuke11–3-0.0136%30 Sept →
mirage8–130.0124%30 Sept →
nuke5–13-0.0435%30 Sept →
cache13–80.0124%30 Sept →
anubis13–100.0031%29 Sept →
dust213–100.0825%29 Sept →
cache8–130.1031%29 Sept →
dust210–13-0.0323%28 Sept →
dust213–90.0628%28 Sept →
inferno6–13-0.0130%28 Sept →
ancient10–13-0.0328%28 Sept →
mirage13–70.0725%24 Sept →
anubis13–16-0.0117%18 Sept →
dust213–60.0217%12 Sept →
dust216–140.0234%12 Sept →
anubis6–13-0.0526%5 Sept →
nuke13–70.0726%5 Sept →
mirage13–110.0622%5 Sept →
mirage7–130.0222%1 Sept →
inferno13–90.0137%23 Aug →
mirage13–80.0727%23 Aug →
dust27–13-0.0121%22 Aug →
anubis11–130.0938%22 Aug →
dust24–13-0.0538%19 Aug →
inferno13–20.0019%19 Aug →
cache8–13-0.0116%19 Aug →
dust213–90.0735%19 Aug →
mirage6–13-0.0623%19 Aug →
cache6–130.0218%19 Aug →
mirage4–13-0.0620%17 Aug →
mirage9–130.0427%17 Aug →
dust211–130.0125%17 Aug →
nuke11–13-0.0121%17 Aug →
inferno10–13-0.0227%10 Aug →
cache7–130.1029%10 Aug →
dust212–120.0635%10 Aug →
inferno13–70.0522%9 Aug →
mirage13–9-0.0313%9 Aug →
dust212–120.0724%8 Aug →
inferno13–50.0626%8 Aug →
anubis13–7-0.0015%7 Aug →
cache13–20.1113%7 Aug →
mirage13–90.0221%7 Aug →
cache9–130.0331%5 Aug →
inferno3–13-0.0319%5 Aug →
inferno15–150.0728%5 Aug →
cache13–90.0121%4 Aug →
ancient15–15-0.0125%4 Aug →
mirage15–150.0020%3 Aug →
cache2–13-0.099%3 Aug →
inferno7–13-0.0624%2 Aug →
anubis2–13-0.0325%2 Aug →
mirage7–13-0.0414%31 Jul →
cache11–130.0224%31 Jul →
dust210–20.0528%30 Jul →
cache13–60.0828%30 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 →

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