legemasa

legemasa — CS2 Stats

CX76561198986795463[U:1:1026529735]Steam profile ↗✓ No bans

1,058Tracked matches43%Win rate2020Tracked since
938Hours in CS
CSDB Rating5.1 DevelopingSupport
Premier CS Rating15,144Purple band · top ~27.8% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (25 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: 15,144 -1,509 8 Aug – 11 Oct · 23 days played
15,14417,149peak 17,1498 Aug11 Oct
17,447Peak Premier in tracked matches
29Days played since 2026-08-05

Premier CS Rating

  • 2,005 below peak (17,149)
  • -1,954 over 30 days · declining
  • Next: Pink band at 20,000 — 4,856 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate42.9%45.7%46.8%3.9% short
Shot accuracy11.0%12.7%13.0%2.0% short
Kill/death ratio0.961.051.060.11 short
Match win rate47.1%45.7%46.3%meets

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGlegemasaFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER15,144 · 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

Aim60
Positioning46
Utility60

0–100 skill scores via Leetify.

Recent form

COLD40–54–6Last 10040%Win rateLLLWLLLLLW

Last 10 vs previous 10: −20pp win rate · −0.07 avg rating · −3.9pp headshot accuracy · +50ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 731ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 714ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 689ms

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 (+2.5 against its own average).

Aim6.0
Utility6.0
Positioning4.6
Opening Duels0.3
Clutch3.2

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

iM

Plays most like iM 72% 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. 677ms 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

Aim6.0
Positioning4.6
Utility6.0
Mechanics7.1
Opening Duels0.9
Win Impact2.8

Composite 5.1/10 (Developing), 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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time684ms−23ms
first ⅓ avg 708ms → last ⅓ avg 684ms
Headshot accuracy26.3%+2.0%
first ⅓ avg 24.3% → last ⅓ avg 26.3%

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

0.36Best match rating · 9–1 · inferno, 18 Sept →
80%Best headshot accuracy · 6–2 · anubis, 6 Sept →
461msFastest reaction time · 4–9 · inferno, 20 Sept →
13–1Biggest win · inferno, 16 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
2–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 80% over 5nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC3917–2244%0.02
mirageC238–1535%-0.00
dust2C135–838%0.00
cacheD93–633%-0.02
nukeD82–625%-0.03
anubisS54–180%0.04
ancient—31–233%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,895Lifetime kills
0.96K/D
2,543Matches
47.1%Match win rate · Top 50% of Level 7 players
42.9%Headshot %
11.0%Shot accuracy
7,203MVPs
938Hours (in match)
2,148Bombs planted
1,125Bombs defused

Most-used weapons

AK-4713,380
AWP5,487
MP9915
HE Grenade701
Knife667

Lifetime map wins

4,589inferno
2,150train
2,046nuke
1,981vertigo
1,462dust2
133lake
124cbble
16office

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

Faceit stats

Combat

84Matches
61%Win rate
1.09Avg K/D
78.4ADR
46%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3269%1.3114.6
Nuke944%1.0916.2
Inferno683%1.1316.2
Vertigo2100%0.8215.5
Dust2250%0.7013.0
Ancient1100%0.8815.0
Train10%1.1425.0
Anubis10%0.9518.0

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.

23.8%Headshot accuracy
30.1%Accuracy (enemy spotted)
33.7%Spray accuracy
82.1%Counter-strafing
10.3°Preaim
677msReaction time
36.1%T opening success
31.2%CT opening success
0.56Enemies flashed / flash
3.9%Flash assists
10.76HE damage / grenade
8.49Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 36.0601% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–130.0614%11 Oct →
dust28–13-0.0511%11 Oct →
inferno4–9-0.0746%10 Oct →
inferno9–60.1034%3 Oct →
dust213–160.0233%3 Oct →
nuke1–13-0.0633%28 Sept →
mirage9–13-0.0324%28 Sept →
inferno5–90.1113%27 Sept →
inferno3–9-0.2125%27 Sept →
cache13–9-0.0524%24 Sept →
dust213–9-0.028%23 Sept →
mirage11–130.0233%20 Sept →
inferno9–5-0.0647%20 Sept →
inferno4–90.0141%20 Sept →
mirage6–130.0121%18 Sept →
nuke4–13-0.0439%18 Sept →
inferno7–90.0527%18 Sept →
inferno9–10.3635%18 Sept →
anubis13–110.0823%18 Sept →
inferno5–90.0621%17 Sept →
inferno9–40.0627%14 Sept →
inferno7–90.0334%14 Sept →
inferno9–40.2121%14 Sept →
inferno6–90.0422%14 Sept →
inferno6–90.0036%14 Sept →
inferno8–80.0327%14 Sept →
inferno8–80.0431%14 Sept →
dust23–13-0.0135%14 Sept →
anubis13–80.0423%12 Sept →
dust213–50.1021%12 Sept →
mirage13–30.0112%12 Sept →
dust22–13-0.0317%9 Sept →
mirage13–3-0.028%9 Sept →
anubis14–16-0.0220%6 Sept →
cache7–13-0.0715%6 Sept →
nuke13–7-0.0230%6 Sept →
cache13–50.0323%6 Sept →
ancient9–13-0.0221%6 Sept →
anubis6–20.0680%6 Sept →
dust216–140.0223%5 Sept →
dust22–13-0.0141%5 Sept →
mirage13–9-0.0726%30 Aug →
mirage10–13-0.0128%30 Aug →
nuke13–9-0.0323%30 Aug →
inferno5–90.0734%27 Aug →
nuke9–13-0.0125%23 Aug →
cache3–13-0.0122%23 Aug →
mirage13–100.0113%20 Aug →
inferno13–70.0929%20 Aug →
dust20–13-0.1050%20 Aug →
mirage1–13-0.070%20 Aug →
dust211–130.0112%20 Aug →
mirage16–12-0.0320%20 Aug →
inferno3–9-0.0628%20 Aug →
dust213–100.0723%16 Aug →
inferno13–70.0713%16 Aug →
cache11–130.0225%16 Aug →
cache13–4-0.0321%16 Aug →
inferno13–10.0125%16 Aug →
inferno9–6-0.0729%16 Aug →
inferno10–13-0.0120%15 Aug →
mirage13–7-0.0529%15 Aug →
mirage4–130.1123%15 Aug →
mirage13–100.0119%14 Aug →
mirage7–130.1013%14 Aug →
nuke11–13-0.0032%14 Aug →
mirage8–130.0121%12 Aug →
mirage11–130.0138%12 Aug →
inferno8–8-0.0318%12 Aug →
inferno6–9-0.300%12 Aug →
inferno8–8-0.0932%12 Aug →
inferno4–9-0.1929%12 Aug →
inferno2–9-0.0927%12 Aug →
inferno8–8-0.0023%11 Aug →
mirage3–13-0.0527%11 Aug →
inferno9–30.1021%11 Aug →
inferno9–10.2150%11 Aug →
inferno5–9-0.0440%11 Aug →
inferno13–6-0.0513%10 Aug →
mirage4–13-0.0710%9 Aug →
nuke4–13-0.0524%9 Aug →
mirage8–130.0821%9 Aug →
inferno9–30.0953%9 Aug →
inferno9–10.0425%9 Aug →
mirage13–30.0234%9 Aug →
inferno9–60.0316%9 Aug →
mirage15–150.0526%8 Aug →
inferno6–90.0419%8 Aug →
ancient13–4-0.0719%8 Aug →
ancient7–13-0.0613%8 Aug →
dust24–13-0.0536%8 Aug →
anubis13–70.0715%7 Aug →
cache5–13-0.0631%7 Aug →
mirage4–13-0.0418%7 Aug →
inferno9–40.0029%7 Aug →
cache6–13-0.0616%7 Aug →
mirage5–13-0.0313%7 Aug →
nuke10–13-0.0324%7 Aug →
dust213–30.0825%7 Aug →
inferno9–50.2020%5 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.