Astro_xd

Astro_xd — CS2 Stats

AT76561197993798311[U:1:33532583]Steam profile ↗✓ No bans

2,479Tracked matches66%Win rate2020Tracked since
3,714Hours in CS
CSDB Rating5.8 SolidSupport
Premier CS Rating27,088Top 5% of 215,386 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)
CSDB Leaderboard#6339 of 261558 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,479 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 27,088 +5,425 8 Aug – 18 Oct · 8 days played
21,66327,088peak 27,0888 Aug18 Oct
27,088Peak Premier in tracked matches
60Days played since 2024-02-29

Premier CS Rating

  • At peak — 27,088
  • 0 over 30 days · steady
  • Next: Gold band at 30,000 — 2,912 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-30
  • Pink 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.

Compare periods

Last 30 days vs previous 30

No matches recorded between 18 Oct 2026 and 14 Nov 2026.

Measured 18 Oct 2026 → 14 Nov 2026; previous 10 Sep 2026 → 18 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate49.3%49.3%50.9%1.6% short
Shot accuracy17.0%13.4%11.8%above
Kill/death ratio1.111.121.180.07 short
Match win rate50.9%48.5%51.9%meets

This profile matches the typical Gold band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Gold band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAstro_xdPREMIER27,088 · Red bandcsdb.gg/stats

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Performance scores

Aim58
Positioning50
Utility50

0–100 skill scores via Leetify.

Recent form

HOT64–35–1Last 10064%Win rateWLWWWLLWWW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +1.6pp headshot accuracy · −34ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 581ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 581ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 598ms

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 (+1.6 against its own average).

Aim5.8
Utility5.0
Positioning5.0
Opening Duels0.3
Clutch3.4

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 79% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 606ms 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

Aim5.8
Positioning5.0
Utility5.0
Mechanics6.7
Opening Duels0.2
Win Impact10.0

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time607ms+54ms
first ⅓ avg 553ms → last ⅓ avg 607ms
Headshot accuracy21.7%+1.7%
first ⅓ avg 19.9% → last ⅓ avg 21.7%

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

0.10Best match rating · 13–5 · ancient, 1 Mar →
50%Best headshot accuracy · 13–5 · dust2, 8 Sept →
344msFastest reaction time · 9–13 · ancient, 5 Mar →
13–2Biggest win · nuke, 1 Feb →

Across the last 100 tracked matches.

Highlights

10Longest win streak
14–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 73% over 22infernoWeakest map · 58% over 19
MapGradePlayedRecordWin rateAvg rating
ancientA3019–1163%-0.01
anubisS2216–673%-0.00
dust2A2012–860%-0.00
infernoA1911–858%-0.00
overpassA53–260%0.00
nuke—32–167%-0.03
train—11–0100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (58% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

169,641Lifetime kills
1.11K/D
6,318Matches
50.9%Match win rate · Top 50% of Red band
49.3%Headshot % · Top 50% of Red band
17.0%Shot accuracy · Top 25% of Red band
18,760MVPs
3,714Hours (in match)
9,565Bombs planted
2,117Bombs defused

Most-used weapons

AK-4763,800
AWP7,118
Knife4,497
P2504,084
FAMAS3,546

Lifetime map wins

22,974inferno
19,815dust2
2,201nuke
1,356train
1,296cbble
587vertigo
136office
50dust

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

Faceit stats

Combat

4,087Matches
51%Win rate
1.19Avg K/D
71.3ADR
48%Headshot %

Clutches & streaks

37%1v1 clutch win
16%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient22658%1.0114.3
Anubis14944%0.9514.9
Inferno10861%1.0314.5
Dust29560%1.1515.1
Overpass4151%1.0416.2
Mirage2227%0.8713.4
Nuke1040%0.9014.9
Vertigo20%0.7814.5

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.

21.1%Headshot accuracy
31.0%Accuracy (enemy spotted)
32.1%Spray accuracy
80.0%Counter-strafing
11.3°Preaim
606msReaction time
31.5%T opening success
28.1%CT opening success
0.58Enemies flashed / flash
5.2%Flash assists
7.00HE damage / grenade
9.12Flashes / 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 31.5449% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
anubis13–50.0326%15 Aug →
ancient10–13-0.0227%9 Aug →
anubis13–110.0219%9 Aug →
overpass13–60.0123%15 Feb →
dust213–100.0222%15 Feb →
dust27–13-0.0514%1 Feb →
ancient5–13-0.0633%1 Feb →
nuke13–2-0.0428%1 Feb →
dust213–90.0415%1 Feb →
anubis13–8-0.0419%1 Feb →
ancient13–5-0.0514%28 Jan →
dust210–13-0.0818%28 Jan →
anubis13–5-0.0032%28 Jan →
dust210–13-0.0115%28 Jan →
ancient13–100.0228%25 Jan →
dust213–10-0.0119%25 Jan →
nuke13–11-0.0026%25 Jan →
anubis13–50.0323%25 Jan →
inferno10–130.0019%10 Jan →
dust213–11-0.0418%22 Jul →
dust211–130.0620%22 Jul →
inferno11–13-0.0037%21 Jul →
ancient13–6-0.0414%4 May →
dust26–13-0.0318%4 May →
inferno13–90.0517%3 May →
anubis13–110.0213%6 Apr →
anubis6–13-0.0418%2 Mar →
inferno13–60.0820%2 Mar →
dust20–0-0.0424%13 Feb →
train13–110.0118%9 Feb →
inferno13–8-0.0232%1 Feb →
dust213–10-0.0022%26 Jan →
ancient13–20.0525%26 Jan →
inferno13–5-0.0221%26 Jan →
ancient13–70.0523%26 Jan →
ancient13–8-0.0117%25 Jan →
ancient13–80.0116%25 Jan →
dust216–14-0.0023%20 Jan →
dust213–70.0628%19 Jan →
ancient9–13-0.0122%19 Jan →
ancient13–7-0.0215%9 Jan →
ancient10–13-0.058%3 Jan →
inferno11–13-0.0331%2 Jan →
anubis13–70.0322%26 Dec →
ancient13–40.0119%25 Dec →
dust213–8-0.0326%23 Dec →
ancient11–130.0114%1 Dec →
ancient13–80.0117%25 Nov →
dust213–110.0124%3 Nov →
inferno13–6-0.0220%29 Oct →
ancient8–13-0.0111%22 Sept →
inferno11–13-0.0525%8 Sept →
dust213–50.0150%8 Sept →
anubis10–13-0.078%8 Sept →
ancient13–80.1029%12 Aug →
dust213–100.0317%8 Aug →
anubis19–17-0.0228%29 Jul →
dust27–13-0.0215%28 Jul →
nuke4–13-0.0643%27 Jul →
inferno14–16-0.0017%23 Jul →
ancient10–130.0134%21 Jul →
anubis13–10-0.0325%21 Jul →
dust25–13-0.0417%21 Jul →
anubis13–110.0118%21 Jul →
inferno13–20.0317%15 Jul →
inferno13–16-0.0116%27 May →
anubis13–50.0129%27 May →
inferno11–13-0.0520%26 May →
anubis16–14-0.059%20 May →
ancient13–11-0.0311%11 May →
anubis13–70.0010%6 May →
dust213–110.0529%4 May →
ancient13–9-0.0626%4 May →
ancient5–13-0.109%1 May →
anubis16–120.058%26 Apr →
anubis13–160.0412%22 Apr →
ancient13–70.0622%19 Apr →
ancient0–13-0.0825%19 Apr →
inferno13–160.0117%14 Apr →
anubis13–7-0.0322%6 Apr →
inferno13–9-0.0226%1 Apr →
overpass6–13-0.0325%10 Mar →
inferno16–120.0527%10 Mar →
inferno13–100.0120%10 Mar →
ancient14–16-0.0625%10 Mar →
anubis8–13-0.0229%9 Mar →
anubis11–13-0.0411%9 Mar →
overpass13–50.0720%5 Mar →
ancient9–130.0020%5 Mar →
overpass13–16-0.0820%4 Mar →
anubis7–13-0.0517%4 Mar →
anubis16–130.0825%3 Mar →
inferno16–140.0417%3 Mar →
ancient13–90.0116%3 Mar →
overpass13–90.0529%3 Mar →
ancient13–2-0.0726%3 Mar →
ancient13–50.0220%3 Mar →
inferno13–9-0.0419%1 Mar →
ancient13–50.1032%1 Mar →
ancient22–20-0.0215%29 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
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.