Acastro

Acastro — CS2 Stats

76561198357287582[U:1:397021854]Steam profile ↗✓ No bans

294Tracked matches53%Win rate2020Tracked since
976Hours in CS
CSDB Rating4.4 DevelopingPositional Player
FaceitLevel 3 · 990 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 294 tracked matches. Play, then come back: the next observation lands here.

Rating over time

990Highest Faceit ELO seen on CSDB
50Days played since 2023-03-05

Faceit ELO

  • At peak — 990
  • Next: Level 5 at 1,051 — 61 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-15
  • Level 3 first seen 2026-09-15

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,045), 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 3 medianLevel 4 medianvs Level 4
Headshot rate41.2%41.8%42.7%1.5% short
Shot accuracy17.6%12.2%11.3%above
Kill/death ratio1.030.980.99above
Match win rate43.2%43.3%43.9%meets

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

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAcastroFACEITLevel 3 · 990 ELOSTANDINGTop 90.6% of rankedPEAK ELO990csdb.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

Aim54
Positioning58
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLWWLLLWLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +0.7pp headshot accuracy · −9ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 602ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 604ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 608ms

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 (+2.5 against its own average).

Aim5.4
Utility3.3
Positioning5.8
Opening Duels3.0
Clutch1.2

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

jL

Plays most like jL 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 602ms 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

Aim5.4
Positioning5.8
Utility3.3
Mechanics5.1
Opening Duels2.5
Win Impact6.1

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time608ms−35ms
first ⅓ avg 643ms → last ⅓ avg 608ms
Headshot accuracy22.5%+3.8%
first ⅓ avg 18.7% → last ⅓ avg 22.5%

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

0.17Best match rating · 13–5 · mirage, 8 Feb →
46%Best headshot accuracy · 16–12 · mirage, 25 May →
438msFastest reaction time · 16–7 · mirage, 27 Mar →
16–1Biggest win · mirage, 1 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–5In matches decided by ≤2 rounds
48Overtime games

Map breakdown

nukeBest map · 83% over 6dust2Weakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA3522–1363%0.00
infernoD144–1029%-0.02
dust2D112–918%-0.04
ancientA106–460%-0.03
vertigoC83–538%-0.01
overpassS75–271%0.02
nukeS65–183%0.01
cacheA53–260%0.01
anubis—32–167%-0.02
train—10–10%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,082Lifetime kills
1.03K/D · Top 50% of Level 3 players
2,430Matches
43.2%Match win rate
41.2%Headshot %
17.6%Shot accuracy · Top 25% of Level 3 players
5,460MVPs
976Hours (in match)
1,528Bombs planted
563Bombs defused

Most-used weapons

Lifetime map wins

4,047inferno
2,228dust2
756vertigo
650cbble
600train
544nuke
297lake
54safehouse

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

Faceit stats

Combat

179Matches
47%Win rate
0.99Avg K/D
74.7ADR
53%Headshot %

Clutches & streaks

26%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3272%1.3916.6
Dust22520%0.8515.3
Ancient1953%0.9315.3
Anubis650%1.0414.3
Cache667%0.9819.2
Vertigo540%0.8111.2
Inferno50%0.6510.8
Nuke475%1.2116.0

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.

22.5%Headshot accuracy
28.5%Accuracy (enemy spotted)
32.7%Spray accuracy
73.1%Counter-strafing
10.4°Preaim
602msReaction time
37.4%T opening success
42.3%CT opening success
0.51Enemies flashed / flash
3.4%Flash assists
5.51HE damage / grenade
6.96Flashes / 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 37.3927% — below the 40% mark we flag

Spend your practice time on Dust 2

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0315%22 Aug →
cache16–120.0120%21 Aug →
anubis13–4-0.0016%21 Aug →
dust25–13-0.0333%20 Aug →
dust29–13-0.0427%19 Aug →
mirage10–130.0326%19 Aug →
nuke22–19-0.0418%19 Aug →
dust215–19-0.1014%18 Aug →
cache10–130.0336%18 Aug →
mirage13–8-0.0029%18 Aug →
ancient13–70.0130%18 Aug →
cache13–9-0.0318%17 Aug →
ancient13–100.0118%17 Aug →
nuke13–20.1524%17 Aug →
ancient13–16-0.0719%2 Jun →
ancient8–13-0.0827%1 Jun →
mirage13–10-0.0421%1 Jun →
ancient13–10-0.0724%31 May →
dust211–130.0114%28 May →
ancient13–60.0232%26 May →
ancient7–13-0.0422%25 May →
mirage16–12-0.0746%25 May →
anubis13–7-0.0316%11 Jan →
dust211–13-0.0521%17 Jun →
train5–13-0.0124%26 May →
dust27–13-0.0517%24 Feb →
dust28–13-0.086%24 Feb →
mirage16–140.0018%24 Feb →
ancient19–15-0.0519%15 Feb →
mirage13–40.1433%23 Oct →
inferno6–13-0.0625%14 Oct →
anubis13–16-0.0417%2 Mar →
vertigo13–100.0115%1 Mar →
mirage7–13-0.0324%1 Mar →
ancient19–170.0622%29 Feb →
mirage16–14-0.0119%28 Feb →
inferno12–16-0.0620%28 Feb →
overpass16–140.0325%28 Feb →
mirage13–8-0.0226%28 Feb →
mirage13–9-0.0827%27 Feb →
overpass13–100.0228%27 Feb →
mirage4–13-0.0920%26 Feb →
vertigo2–13-0.114%19 Feb →
overpass7–130.0123%19 Feb →
mirage13–50.1728%8 Feb →
nuke8–13-0.0314%28 Sept →
inferno9–13-0.0419%28 Sept →
mirage13–160.0018%28 Sept →
mirage13–50.1021%28 Sept →
mirage13–70.0823%28 Sept →
mirage6–13-0.0418%28 Sept →
mirage13–11-0.0013%27 Sept →
vertigo13–90.1029%22 Sept →
vertigo5–13-0.0112%17 Sept →
ancient9–13-0.0914%11 Sept →
mirage8–13-0.0919%11 Sept →
cache9–16-0.0222%7 Apr →
mirage13–16-0.008%7 Apr →
mirage15–15-0.0221%6 Apr →
mirage16–14-0.0617%6 Apr →
inferno1–9-0.0910%6 Apr →
inferno15–150.0021%5 Apr →
mirage16–10.0919%1 Apr →
mirage16–9-0.0426%1 Apr →
mirage9–30.0314%1 Apr →
vertigo9–16-0.0213%31 Mar →
mirage14–160.0719%31 Mar →
cache9–50.0722%31 Mar →
inferno16–80.0415%29 Mar →
overpass16–100.0721%29 Mar →
overpass5–9-0.046%28 Mar →
mirage16–90.0718%27 Mar →
mirage16–70.0217%27 Mar →
mirage16–60.0330%27 Mar →
vertigo6–9-0.0230%22 Mar →
inferno7–90.0416%22 Mar →
inferno16–14-0.0123%20 Mar →
dust211–16-0.0624%15 Mar →
mirage6–16-0.0415%15 Mar →
mirage16–8-0.0120%15 Mar →
overpass16–130.0525%15 Mar →
nuke16–1-0.0113%15 Mar →
nuke16–13-0.0114%14 Mar →
mirage13–160.0018%13 Mar →
inferno5–16-0.0724%13 Mar →
vertigo16–60.0818%13 Mar →
inferno7–16-0.0221%13 Mar →
mirage20–220.0116%13 Mar →
mirage11–16-0.0221%13 Mar →
mirage16–14-0.0411%12 Mar →
inferno16–80.0621%12 Mar →
vertigo9–16-0.095%12 Mar →
inferno12–16-0.0121%12 Mar →
overpass13–40.0120%11 Mar →
inferno16–8-0.0112%11 Mar →
mirage16–130.0233%10 Mar →
dust210–30.0119%10 Mar →
dust216–12-0.0120%8 Mar →
nuke16–14-0.049%8 Mar →
inferno4–9-0.0321%5 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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