luremusa

luremusa — CS2 Stats

NO76561198909127612[U:1:948861884]Steam profile ↗✓ No bans

1,344Tracked matches43%Win rate2020Tracked since
1,619Hours in CS
CSDB Rating6.3 SolidPositional Player
Premier CS Rating16,904Purple band · top ~20.8% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 16,904 → 16,904
+2Tracked matches · now 1,344
0.0ppWin rate · 42.9% → 42.9%

Rating over time

Premier CS Rating: 16,904 -3,648 16 Aug – 27 Oct · 26 days played
16,86820,909peak 20,90916 Aug27 Oct
21,277Peak Premier in tracked matches
28Days played since 2026-08-16

Premier CS Rating

  • 4,005 below peak (20,909)
  • -1,260 over 30 days · declining
  • Next: Pink band at 20,000 — 3,096 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-27
  • Blue band first seen 2026-10-27

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate35.5%43.8%44.8%9.3% short
Shot accuracy17.1%12.0%12.4%above
Kill/death ratio0.951.021.030.09 short
Match win rate45.5%44.7%45.2%meets

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGluremusaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,904 · Purple bandcsdb.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

Aim73
Positioning64
Utility50

0–100 skill scores via Leetify.

Recent form

COLD41–54–5Last 10041%Win rateWLLLLLLLWW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +1.4pp headshot accuracy · −6ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 520ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 530ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 533ms

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: Positional Player — Positioning stands above the rest of this profile (+2.7 against its own average).

Aim7.3
Utility5.0
Positioning6.4
Opening Duels3.4
Clutch0.0

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

iM

Plays most like iM 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Strengths

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 70% on T to 45% on CT — first contacts on the defending side are being lost.

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

Aim7.3
Positioning6.4
Utility5.0
Mechanics7.7
Opening Duels6.9
Win Impact2.6

Composite 6.3/10 (Solid), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time542ms−1ms
first ⅓ avg 543ms → last ⅓ avg 542ms
Headshot accuracy12.1%−2.7%
first ⅓ avg 14.9% → last ⅓ avg 12.1%

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

0.24Best match rating · 9–5 · inferno, 10 Sept →
27%Best headshot accuracy · 13–3 · cache, 14 Sept →
391msFastest reaction time · 8–13 · mirage, 10 Sept →
13–2Biggest win · inferno, 9 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–12In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 64% over 14infernoWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
ancientB199–1047%0.01
mirageB168–850%0.00
cacheA149–564%0.01
anubisB137–654%0.01
infernoD122–1017%0.02
nukeD123–925%-0.01
dust2D51–420%-0.01
vertigo—41–325%0.01
rush_001—21–150%-0.05
debris—10–10%-0.08
poseidon—10–10%-0.16
overpass—10–10%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,058Lifetime kills
0.95K/D
3,978Matches
45.5%Match win rate · Top 50% of Level 5 players
35.5%Headshot %
17.1%Shot accuracy · Top 25% of Level 5 players
10,804MVPs
1,619Hours (in match)
4,026Bombs planted
1,031Bombs defused

Most-used weapons

AK-4716,307
AUG7,406
AWP6,870
MAC-105,614
P902,804
SG 5532,250

Lifetime map wins

5,037inferno
2,957vertigo
2,922dust2
2,158nuke
683train
453lake
244cbble
45safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

93Matches
53%Win rate
1.04Avg K/D
61.8ADR
37%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis825%0.9813.4
Ancient771%1.2917.0
Vertigo683%1.0316.3
Inferno475%0.9312.5
Mirage333%0.7311.7
Nuke1100%1.1110.0
Overpass1100%2.8014.0
Dust21100%1.009.0

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.

12.1%Headshot accuracy
35.4%Accuracy (enemy spotted)
38.3%Spray accuracy
84.5%Counter-strafing
9.1°Preaim
549msReaction time
70.1%T opening success
44.9%CT opening success
0.63Enemies flashed / flash
5.2%Flash assists
9.51HE damage / grenade
7.62Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.1085% — below the 15% mark we flag

    Aim Training →
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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–90.0313%27 Oct →
mirage5–13-0.0316%27 Oct →
inferno4–130.0010%26 Oct →
nuke2–13-0.0311%26 Oct →
ancient8–130.0511%26 Oct →
dust28–13-0.057%20 Oct →
cache7–130.0120%20 Oct →
anubis11–13-0.0316%19 Oct →
mirage16–130.0110%18 Oct →
anubis13–6-0.0112%18 Oct →
ancient6–130.023%16 Oct →
mirage13–11-0.017%16 Oct →
nuke6–9-0.0719%16 Oct →
anubis11–130.0015%15 Oct →
ancient11–13-0.0316%15 Oct →
mirage10–130.0011%12 Oct →
mirage13–11-0.0113%11 Oct →
ancient13–6-0.026%11 Oct →
inferno15–150.0512%11 Oct →
rush_0013–7-0.0111%9 Oct →
inferno9–13-0.0213%9 Oct →
dust213–5-0.0217%9 Oct →
vertigo8–80.0410%9 Oct →
cache13–160.0221%8 Oct →
nuke13–30.095%8 Oct →
mirage3–130.0318%8 Oct →
mirage16–14-0.017%8 Oct →
nuke13–80.034%7 Oct →
mirage14–160.0315%7 Oct →
cache13–7-0.0113%7 Oct →
ancient6–13-0.0211%7 Oct →
nuke15–150.058%2 Oct →
mirage13–110.0220%2 Oct →
rush_0018–6-0.100%2 Oct →
ancient13–60.0511%2 Oct →
mirage5–13-0.130%2 Oct →
debris6–9-0.088%2 Oct →
vertigo12–120.0411%24 Sept →
vertigo4–0-0.038%24 Sept →
vertigo4–9-0.0212%24 Sept →
cache13–10-0.0113%15 Sept →
anubis14–16-0.018%15 Sept →
inferno6–13-0.0111%15 Sept →
cache13–80.0214%15 Sept →
mirage13–80.0122%14 Sept →
ancient8–13-0.008%14 Sept →
cache13–30.0627%14 Sept →
anubis9–130.0910%14 Sept →
nuke11–13-0.0511%14 Sept →
cache13–110.0416%14 Sept →
anubis4–13-0.0518%13 Sept →
ancient13–9-0.025%13 Sept →
inferno5–130.0016%13 Sept →
nuke11–130.0422%12 Sept →
ancient11–130.0014%12 Sept →
anubis13–9-0.015%12 Sept →
cache9–130.0313%12 Sept →
mirage13–90.0013%12 Sept →
nuke10–13-0.0312%12 Sept →
ancient13–100.1018%12 Sept →
ancient13–11-0.0315%12 Sept →
inferno3–13-0.054%11 Sept →
anubis9–130.0410%11 Sept →
ancient9–13-0.047%11 Sept →
nuke13–8-0.0420%11 Sept →
nuke7–130.017%11 Sept →
dust210–130.0210%11 Sept →
cache13–11-0.0623%10 Sept →
ancient5–130.0019%10 Sept →
mirage8–13-0.0113%10 Sept →
mirage8–130.0810%10 Sept →
inferno9–50.2415%10 Sept →
inferno9–13-0.0314%9 Sept →
dust29–130.0122%9 Sept →
mirage15–150.0219%9 Sept →
ancient13–9-0.0518%9 Sept →
anubis13–50.0215%9 Sept →
cache13–90.0522%9 Sept →
inferno13–20.0117%9 Sept →
anubis13–80.0210%9 Sept →
cache13–10-0.0513%9 Sept →
ancient13–100.018%9 Sept →
nuke11–13-0.015%6 Sept →
ancient11–13-0.0211%3 Sept →
cache6–130.0414%3 Sept →
ancient5–130.0514%3 Sept →
nuke2–13-0.0621%2 Sept →
inferno7–13-0.0127%2 Sept →
anubis13–2-0.0716%2 Sept →
inferno7–130.0311%26 Aug →
dust214–160.0123%26 Aug →
ancient13–30.1012%26 Aug →
cache7–13-0.0613%26 Aug →
ancient13–4-0.0019%26 Aug →
poseidon5–9-0.1624%23 Aug →
overpass10–130.0011%23 Aug →
cache13–90.038%23 Aug →
anubis13–60.0410%17 Aug →
inferno11–130.038%16 Aug →
anubis13–80.1412%16 Aug →

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 →

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