aeaantoun

aeaantoun — CS2 Stats

US76561199817938699[U:1:1857672971]Steam profile ↗✓ No bans

201Tracked matches55%Win rate2025Tracked since
103Hours in CS
CSDB Rating5.7 SolidAll-Rounder
Premier CS Rating12,893Blue band · top ~39.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (77 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 12,893 → 12,893
+1Tracked matches · now 201
0.0ppWin rate · 55.2% → 55.2%

Rating over time

Premier CS Rating: 12,893 -5,638 12 May – 30 Aug · 19 days played
12,48621,324peak 21,32412 May30 Aug
21,683Peak Premier in tracked matches
22Days played since 2026-05-12

Premier CS Rating

  • 8,431 below peak (21,324)
  • -6,242 over 30 days · declining
  • -5,706 over 90 days
  • Next: Purple band at 15,000 — 2,107 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

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=23,968), 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 rate47.6%42.0%44.4%above
Shot accuracy0.0%9.7%11.8%11.8% short
Kill/death ratio1.140.981.03above
Match win rate49.3%43.8%45.3%above

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

Widest gap: Shot accuracy. 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.GGaeaantounPREMIER12,893 · Blue bandcsdb.gg/stats

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Performance scores

Aim69
Positioning59
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWLLWLWLWWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −0.4pp headshot accuracy · −51ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 480ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 498ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 523ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.9
Utility5.7
Positioning5.9
Opening Duels4.0

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

ZywOo

Plays most like ZywOo 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.9
Positioning5.9
Utility5.7
Mechanics6.1
Opening Duels3.1
Win Impact6.7

Composite 5.7/10 (Solid), 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+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time528ms−62ms
first ⅓ avg 590ms → last ⅓ avg 528ms
Headshot accuracy12.8%−1.6%
first ⅓ avg 14.4% → last ⅓ avg 12.8%

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

0.14Best match rating · 9–6 · vertigo, 26 Jul →
29%Best headshot accuracy · 13–5 · mirage, 17 May →
383msFastest reaction time · 11–13 · ancient, 17 Aug →
13–2Biggest win · cache, 13 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak
7–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 75% over 8ancientWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
ancientD217–1433%0.03
mirageB2111–1052%0.01
nukeA1610–663%0.02
anubisS118–373%0.01
infernoA106–460%0.03
dust2D93–633%0.00
cacheS86–275%0.00
overpass—22–0100%0.00
vertigo—11–0100%0.14
train—11–0100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,718Lifetime kills
1.14K/D · Top 25% of Blue band
288Matches
49.3%Match win rate · Top 25% of Blue band
47.6%Headshot % · Top 25% of Blue band
0.0%Shot accuracy
719MVPs
103Hours (in match)
157Bombs planted
83Bombs defused

Most-used weapons

Lifetime map wins

456nuke
317inferno
309dust2
72train
39vertigo
2ar_baggage

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.

12.8%Headshot accuracy
37.5%Accuracy (enemy spotted)
43.6%Spray accuracy
77.4%Counter-strafing
11.8°Preaim
531msReaction time
36.4%T opening success
48.7%CT opening success
0.62Enemies flashed / flash
7.4%Flash assists
9.29HE damage / grenade
8.32Flashes / 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 12.8309% — below the 15% mark we flag

    Aim Training →
  2. 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 36.3926% — below the 40% mark we flag

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.

33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–50.0616%30 Aug →
ancient10–130.0813%29 Aug →
mirage2–13-0.039%29 Aug →
inferno13–100.0321%29 Aug →
ancient11–130.0016%17 Aug →
cache16–140.0311%17 Aug →
anubis4–13-0.068%17 Aug →
nuke13–8-0.037%17 Aug →
anubis16–140.0112%16 Aug →
ancient13–100.0216%16 Aug →
mirage13–40.087%16 Aug →
inferno13–60.0823%16 Aug →
mirage5–13-0.077%16 Aug →
ancient9–13-0.0112%16 Aug →
anubis6–130.0118%16 Aug →
dust28–13-0.0117%16 Aug →
ancient8–130.1113%16 Aug →
mirage13–80.0815%15 Aug →
anubis9–130.039%15 Aug →
cache13–90.0413%15 Aug →
inferno13–100.0817%15 Aug →
ancient15–150.0413%15 Aug →
nuke13–100.0216%14 Aug →
nuke11–13-0.058%14 Aug →
mirage13–10-0.049%10 Aug →
inferno16–130.0216%10 Aug →
cache13–8-0.0011%10 Aug →
mirage13–30.0410%10 Aug →
cache3–13-0.064%2 Aug →
mirage10–130.0614%2 Aug →
ancient13–60.099%2 Aug →
ancient13–60.0417%26 Jul →
cache3–13-0.0116%26 Jul →
vertigo9–60.1416%26 Jul →
nuke13–80.1113%26 Jul →
anubis13–90.0312%26 Jul →
ancient9–130.069%26 Jul →
anubis16–140.009%26 Jul →
mirage11–13-0.0517%26 Jul →
ancient13–70.1017%26 Jul →
cache13–90.0316%26 Jul →
anubis13–10-0.005%19 Jul →
ancient13–11-0.008%19 Jul →
mirage13–40.0510%19 Jul →
nuke13–100.0118%19 Jul →
nuke13–60.0717%18 Jul →
anubis13–90.0111%18 Jul →
nuke13–30.0817%18 Jul →
ancient11–130.0217%18 Jul →
cache13–90.0312%18 Jul →
mirage6–130.0121%18 Jul →
dust25–13-0.0719%18 Jul →
mirage16–130.0213%18 Jul →
dust25–130.0420%14 Jul →
dust29–13-0.0424%14 Jul →
mirage11–130.0319%13 Jul →
cache13–2-0.049%13 Jul →
mirage2–13-0.0617%2 Jul →
mirage13–110.066%2 Jul →
anubis13–60.006%30 Jun →
nuke7–13-0.0015%30 Jun →
overpass13–50.0922%30 Jun →
mirage11–13-0.0310%30 Jun →
inferno8–130.0315%28 Jun →
ancient7–13-0.0214%27 Jun →
dust213–4-0.0119%27 Jun →
nuke4–13-0.0314%27 Jun →
anubis13–70.0220%27 Jun →
mirage13–100.0412%27 Jun →
ancient15–150.0719%27 Jun →
nuke11–130.0112%27 Jun →
train13–110.0416%27 Jun →
ancient10–13-0.0314%24 May →
nuke8–13-0.0115%24 May →
ancient13–70.0914%24 May →
nuke14–160.0216%24 May →
mirage13–20.1116%24 May →
ancient13–50.0613%24 May →
ancient8–13-0.0218%24 May →
dust214–16-0.0214%18 May →
nuke13–100.0118%18 May →
inferno7–130.0114%18 May →
dust213–90.0619%18 May →
overpass13–5-0.096%17 May →
dust215–150.059%17 May →
inferno7–130.0214%17 May →
anubis13–90.0913%17 May →
ancient3–13-0.0215%17 May →
ancient8–13-0.0610%17 May →
dust213–50.0317%17 May →
mirage13–50.0629%17 May →
inferno13–10-0.0013%17 May →
ancient10–130.0510%17 May →
mirage7–13-0.019%17 May →
nuke16–120.0614%16 May →
nuke13–10-0.0512%16 May →
inferno13–90.0616%16 May →
mirage13–11-0.069%12 May →
inferno7–130.0118%12 May →
mirage11–13-0.0410%12 May →

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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