Namelesser

Namelesser — CS2 Stats

FI76561198012490980[U:1:52225252]Steam profile ↗✓ No bans

160Tracked matches54%Win rate2022Tracked since
474Hours in CS
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating14,894Blue band · top ~29% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Jun 2026 (132 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: 14,894 +1,869 28 Mar – 3 Jun · 23 days played
12,72815,383peak 15,38328 Mar3 Jun
15,387Peak Premier in tracked matches
34Days played since 2026-03-28

Premier CS Rating

  • 489 below peak (15,383)
  • -489 over 30 days · declining
  • Next: Purple band at 15,000 — 106 to go
  • Reached: 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.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate37.3%42.0%44.3%7.1% short
Shot accuracy17.6%9.6%11.9%above
Kill/death ratio1.460.981.03above
Match win rate49.1%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGNamelesserPREMIER14,894 · Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning55
Utility31

0–100 skill scores via Leetify.

Recent form

COLD53–41–6Last 10053%Win rateLLLWLWTWLL

Last 10 vs previous 10: −40pp win rate · −0.06 avg rating · +3.5pp headshot accuracy · +7ms reaction

Win rate down 40pp 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 -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 622ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 647ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 644ms

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 (+1.5 against its own average).

Aim6.0
Utility3.1
Positioning5.5
Opening Duels3.4

Limited utility dependence

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

donk

Plays most like donk 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 626ms 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
Positioning5.5
Utility3.1
Mechanics5.5
Opening Duels2.9
Win Impact6.2

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time624ms+27ms
first ⅓ avg 597ms → last ⅓ avg 624ms
Headshot accuracy15.2%+2.1%
first ⅓ avg 13.1% → last ⅓ avg 15.2%

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

0.18Best match rating · 13–1 · vertigo, 4 Apr →
30%Best headshot accuracy · 13–4 · anubis, 7 Apr →
391msFastest reaction time · 4–13 · ancient, 16 Apr →
13–0Biggest win · anubis, 7 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
5–2In matches decided by ≤2 rounds
6Overtime games

Map breakdown

vertigoBest map · 83% over 6trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
ancientD186–1233%0.03
dust2A148–657%0.05
infernoA149–564%0.04
nukeC104–640%0.02
anubisS107–370%0.03
overpassA85–363%0.02
mirageB63–350%0.03
cacheS64–267%0.04
vertigoS65–183%0.05
trainD51–420%0.06
stronghold—11–0100%0.03
warden—10–10%0.05
alpine—10–10%0.02

Across the last 100 tracked matches.

Lifetime stats

30,724Lifetime kills
1.46K/D · Top 5% of Blue band
1,398Matches
49.1%Match win rate · Top 25% of Blue band
37.3%Headshot %
17.6%Shot accuracy · Top 10% of Blue band
3,544MVPs
474Hours (in match)
1,057Bombs planted
247Bombs defused

Most-used weapons

Lifetime map wins

2,342dust2
1,312inferno
540nuke
289train
281vertigo
195cbble
178dust
145office

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

Skill profile

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

15.2%Headshot accuracy
36.8%Accuracy (enemy spotted)
37.0%Spray accuracy
74.6%Counter-strafing
10.5°Preaim
626msReaction time
43.2%T opening success
39.9%CT opening success
0.39Enemies flashed / flash
5.7%Flash assists
9.74HE damage / grenade
3.66Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3864 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.8977% — below the 40% mark we flag

Spend your practice time on Train

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 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke14–160.0018%3 Jun →
nuke6–13-0.0214%3 Jun →
overpass10–13-0.0416%20 May →
anubis13–70.0423%20 May →
ancient3–13-0.0919%18 May →
overpass13–10-0.0412%17 May →
train12–120.0217%17 May →
dust213–100.0822%17 May →
ancient8–130.0117%13 May →
inferno12–16-0.0518%13 May →
mirage13–40.033%13 May →
cache13–1-0.0011%13 May →
inferno13–50.0720%4 May →
nuke8–130.0013%4 May →
cache12–120.1213%3 May →
cache13–9-0.0117%3 May →
vertigo13–60.1322%2 May →
cache4–130.0416%1 May →
cache13–100.0513%30 Apr →
cache13–60.0514%30 Apr →
ancient9–130.0013%30 Apr →
dust210–13-0.0212%27 Apr →
inferno13–5-0.0119%27 Apr →
inferno13–40.1319%25 Apr →
dust213–11-0.0113%25 Apr →
nuke10–130.0114%24 Apr →
inferno13–6-0.0117%24 Apr →
ancient13–70.0915%24 Apr →
train4–100.0613%23 Apr →
inferno6–130.002%21 Apr →
ancient16–130.0917%21 Apr →
inferno13–160.0516%20 Apr →
mirage5–13-0.0115%17 Apr →
anubis13–6-0.0113%17 Apr →
dust213–50.0524%17 Apr →
ancient4–13-0.0114%16 Apr →
ancient13–90.0917%15 Apr →
inferno5–130.0510%15 Apr →
anubis4–130.0215%15 Apr →
ancient9–13-0.0612%14 Apr →
inferno13–80.0316%14 Apr →
anubis13–11-0.039%13 Apr →
dust29–130.0118%12 Apr →
overpass13–70.0115%12 Apr →
vertigo13–50.018%10 Apr →
ancient13–40.1717%10 Apr →
anubis7–130.0016%10 Apr →
ancient9–10.1516%10 Apr →
dust212–120.0623%10 Apr →
nuke13–10.0812%10 Apr →
overpass6–130.0112%10 Apr →
overpass3–00.0314%10 Apr →
train13–70.1111%10 Apr →
vertigo2–13-0.0612%10 Apr →
anubis6–130.0310%10 Apr →
inferno13–110.0119%10 Apr →
dust213–7-0.0110%9 Apr →
dust29–130.1520%7 Apr →
vertigo13–60.0211%7 Apr →
anubis13–40.1730%7 Apr →
ancient4–130.0217%7 Apr →
dust213–60.0728%7 Apr →
mirage13–30.0920%7 Apr →
anubis13–00.1014%7 Apr →
inferno6–10.169%7 Apr →
vertigo13–100.0214%7 Apr →
nuke13–110.1018%7 Apr →
train12–120.0914%7 Apr →
stronghold13–50.0316%6 Apr →
overpass13–30.1617%6 Apr →
ancient11–130.0714%6 Apr →
nuke13–40.0511%6 Apr →
dust213–40.1519%4 Apr →
train0–130.0516%4 Apr →
vertigo13–10.1814%4 Apr →
warden6–130.0511%4 Apr →
alpine10–130.027%4 Apr →
nuke8–13-0.017%3 Apr →
overpass13–70.0115%3 Apr →
ancient6–13-0.0112%3 Apr →
inferno4–130.0012%3 Apr →
dust216–12-0.0216%3 Apr →
ancient5–13-0.0622%3 Apr →
ancient8–130.0113%2 Apr →
anubis13–7-0.029%1 Apr →
inferno13–110.0515%1 Apr →
overpass12–120.0414%1 Apr →
nuke9–13-0.046%1 Apr →
nuke13–40.0216%1 Apr →
ancient13–8-0.0012%1 Apr →
inferno13–100.038%31 Mar →
ancient4–13-0.025%30 Mar →
dust213–30.1416%30 Mar →
anubis13–30.049%30 Mar →
mirage13–20.0221%30 Mar →
ancient3–13-0.018%30 Mar →
dust215–15-0.0113%29 Mar →
mirage6–130.0521%29 Mar →
mirage7–13-0.018%28 Mar →
dust210–130.0218%28 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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