asterios

asterios — CS2 Stats

US76561199013749057[U:1:1053483329]Steam profile ↗✓ No bans

1,553Tracked matches52%Win rate2020Tracked since
CSDB Rating6.9 SolidPositional Player
Premier CS Rating19,313Top 50% of 213,399 CSDB-tracked playersPurple band · top ~11.2% of ranked players (population est.)
CSDB Leaderboard#95643 of 260007 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (7 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: 19,313 -2,481 24 Jul – 29 Oct · 12 days played
18,42422,679peak 22,67924 Jul29 Oct
22,679Peak Premier in tracked matches
1,318Highest Faceit ELO seen on CSDB
42Days played since 2026-07-19

Premier CS Rating

  • 3,366 below peak (22,679)
  • +778 over 30 days · improving
  • -2,996 over 90 days
  • Next: Pink band at 20,000 — 687 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGasteriosFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,313 · Purple bandPEAK ELO1,318csdb.gg/stats

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Performance scores

Aim86
Positioning67
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY48–43–9Last 10048%Win rateLWLWLWWWLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −7.2pp headshot accuracy · +75ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 672ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 611ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 29%
  • Avg reaction 573ms

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 (+2.1 against its own average).

Aim8.6
Utility2.7
Positioning6.7
Opening Duels6.0
Clutch3.2

Sharp aimerLimited 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 82% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 587ms 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

Aim8.6
Positioning6.7
Utility2.7
Mechanics8.4
Opening Duels7.8
Win Impact5.6

Composite 6.9/10 (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 rating0.02−0.04
first ⅓ avg 0.06 → last ⅓ avg 0.02
Reaction time584ms−46ms
first ⅓ avg 630ms → last ⅓ avg 584ms
Headshot accuracy30.5%+5.0%
first ⅓ avg 25.6% → last ⅓ avg 30.5%

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

0.30Best match rating · 9–3 · nuke, 24 Jul →
53%Best headshot accuracy · 4–13 · cache, 5 Sept →
406msFastest reaction time · 6–13 · inferno, 16 Aug →
13–0Biggest win · nuke, 1 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 83% over 6mirageWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
ancientA2112–957%0.05
infernoB2110–1148%0.05
nukeA127–558%0.07
cacheC114–736%0.04
mirageD81–713%-0.04
anubisS75–271%0.02
vertigoD72–529%-0.01
overpassS65–183%0.11
dust2D51–420%-0.06
train—21–150%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

130Matches
55%Win rate
1.01Avg K/D
77.2ADR
59%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4455%0.9314.9
Ancient2255%0.9415.6
Inferno1644%1.1215.3
Vertigo1164%0.9615.9
Nuke944%0.9415.0
Anubis967%1.2317.4
Dust2944%1.1914.7
Train6100%1.1120.2

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.

29.4%Headshot accuracy
32.8%Accuracy (enemy spotted)
35.4%Spray accuracy
87.6%Counter-strafing
8.2°Preaim
587msReaction time
63.0%T opening success
59.1%CT opening success
0.41Enemies flashed / flash
5.6%Flash assists
7.88HE damage / grenade
1.78Flashes / 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 0.4061 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0924%3 Nov →
nuke13–00.0722%1 Nov →
ancient10–130.0320%29 Oct →
ancient13–70.0828%25 Oct →
mirage6–13-0.0733%23 Oct →
ancient13–50.1128%23 Oct →
ancient13–8-0.0421%22 Oct →
cache13–50.1428%14 Oct →
ancient11–130.0434%13 Oct →
mirage6–13-0.0716%11 Oct →
inferno6–13-0.0245%11 Oct →
inferno13–50.1936%9 Oct →
ancient14–160.0428%9 Oct →
ancient13–80.0428%9 Oct →
anubis13–110.0116%7 Oct →
inferno6–130.0247%7 Oct →
ancient4–13-0.0033%5 Oct →
anubis13–60.0841%5 Oct →
vertigo3–13-0.0614%4 Oct →
inferno13–50.0537%4 Oct →
anubis13–50.1140%4 Oct →
dust24–13-0.146%27 Sept →
nuke13–80.0824%27 Sept →
inferno13–30.0345%27 Sept →
vertigo13–10-0.0431%26 Sept →
mirage11–13-0.0430%26 Sept →
vertigo12–120.0128%9 Sept →
nuke13–7-0.0333%8 Sept →
cache6–130.0331%7 Sept →
inferno10–130.0829%7 Sept →
ancient12–120.0434%7 Sept →
cache4–130.0853%5 Sept →
inferno13–60.0140%5 Sept →
dust211–13-0.0336%5 Sept →
anubis13–50.0339%5 Sept →
cache10–13-0.0523%3 Sept →
ancient10–100.0825%3 Sept →
nuke10–130.0139%30 Aug →
nuke13–00.0625%30 Aug →
cache13–3-0.0040%30 Aug →
inferno12–12-0.0025%29 Aug →
mirage6–4-0.1230%26 Aug →
ancient12–120.1222%23 Aug →
inferno13–100.0524%23 Aug →
ancient13–80.1647%20 Aug →
dust213–11-0.0330%18 Aug →
ancient13–6-0.0334%18 Aug →
inferno8–130.1428%18 Aug →
nuke9–130.1232%16 Aug →
inferno6–130.0123%16 Aug →
ancient7–130.0934%10 Aug →
inferno11–130.0133%10 Aug →
inferno12–120.0125%9 Aug →
nuke4–130.0126%2 Aug →
cache8–13-0.0339%2 Aug →
inferno5–130.0333%1 Aug →
overpass13–40.0620%1 Aug →
nuke12–12-0.0122%1 Aug →
ancient13–70.0836%1 Aug →
anubis13–10-0.0631%31 Jul →
ancient13–11-0.0223%29 Jul →
mirage9–13-0.0523%29 Jul →
anubis7–13-0.0221%27 Jul →
inferno13–110.0524%27 Jul →
vertigo9–70.0941%26 Jul →
inferno7–9-0.0018%26 Jul →
train12–120.0332%26 Jul →
inferno13–80.0627%26 Jul →
ancient13–110.0418%26 Jul →
cache4–130.0040%25 Jul →
anubis8–130.0219%25 Jul →
overpass13–50.2442%25 Jul →
vertigo3–13-0.0427%25 Jul →
nuke5–130.0629%24 Jul →
ancient7–130.0414%24 Jul →
nuke9–70.0920%24 Jul →
overpass4–9-0.0222%24 Jul →
overpass9–50.2012%24 Jul →
vertigo4–90.0235%24 Jul →
nuke9–30.3021%24 Jul →
ancient14–160.0125%24 Jul →
mirage11–13-0.0224%24 Jul →
cache9–130.0323%24 Jul →
ancient13–10-0.0133%24 Jul →
inferno16–140.0622%24 Jul →
cache13–9-0.0118%24 Jul →
dust210–13-0.0139%23 Jul →
train4–00.1125%23 Jul →
inferno12–12-0.0017%23 Jul →
cache13–50.1928%23 Jul →
nuke13–50.1334%23 Jul →
overpass9–70.1124%22 Jul →
mirage13–80.0423%21 Jul →
inferno13–110.0225%21 Jul →
mirage7–13-0.0230%21 Jul →
vertigo12–12-0.0429%20 Jul →
overpass9–40.0822%20 Jul →
ancient13–50.1317%20 Jul →
cache8–130.1126%20 Jul →
inferno13–30.1533%19 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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