Astro_ — CS2 Stats

76561198079359992[U:1:119094264]

1,896Tracked matches50%Win rate2020Tracked since
CSDB Rating5.4 DevelopingHybrid Rifler
FaceitLevel 9 · 1,979 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGAstro_FACEITLevel 9 · 1,979 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim61
Positioning62
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY474211Last 10047%Win rateLWLLWWLLLW

Last 10 vs previous 10: -10pp win rate · -0.06 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression10.0
Utility4.6
Positioning6.2
Opening Duels5.1
Clutch4.0

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

device

Plays most like device 86% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

T-side openings. Opening success drops from 59% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim6.1
Positioning6.2
Utility4.6
Mechanics6.0
Opening Duels5.1
Win Impact5.0

Composite 5.4/10 (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+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time573ms−11ms
first ⅓ avg 584ms → last ⅓ avg 573ms
Headshot accuracy13.8%−1.5%
first ⅓ avg 15.4% → last ⅓ avg 13.8%

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.

Highlights

0.19Best rating — alpine 13–3
130Biggest win — nuke
5Longest win streak
77In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 58% over 12ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
cacheA35201557%0.03
dust2D2171433%0.00
nukeA127558%-0.01
mirageD103730%0.00
ancientD72529%-0.02
office41325%-0.01
inferno31233%0.00
anubis32167%0.02
overpass21150%-0.01
italy110100%0.01
warden110100%0.02
alpine110100%0.19

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,105Matches
51%Win rate
0.98Avg K/D
72.2ADR
41%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust219153%1.0115.1
Ancient8146%0.9114.1
Nuke6462%0.9514.4
Mirage5050%0.8713.6
Train4852%0.9513.8
Inferno4743%0.9014.2
Anubis2330%0.7913.2
Overpass1540%0.7412.4

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.

13.9%Headshot accuracy
36.6%Accuracy (enemy spotted)
37.3%Spray accuracy
76.8%Counter-strafing
11.1°Preaim
592msReaction time
42.0%T opening success
58.7%CT opening success
0.53Enemies flashed / flash
3.4%Flash assists
10.49HE damage / grenade
7.41Flashes / 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 13.8595% — below the 15% mark we flag

    Aim Training
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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0314%30 Aug
cache13–4-0.0615%29 Aug
dust28–13-0.0423%24 Aug
dust213–16-0.0120%23 Aug
cache16–130.0310%23 Aug
nuke13–0-0.019%23 Aug
cache8–13-0.024%23 Aug
cache10–13-0.0110%23 Aug
dust26–13-0.0617%23 Aug
nuke13–4-0.089%2 Aug
nuke11–13-0.0018%2 Aug
cache13–80.0616%2 Aug
dust211–130.0115%2 Aug
cache11–8-0.033%19 Jul
mirage13–70.0915%19 Jul
overpass13–70.0522%14 Jun
mirage13–100.0214%14 Jun
cache12–120.0115%14 Jun
dust25–130.1418%30 May
office2–13-0.0211%30 May
cache10–130.1215%30 May
cache6–13-0.0418%30 May
cache9–130.000%27 May
italy13–60.0113%27 May
cache12–12-0.047%26 May
cache13–100.0319%26 May
cache13–110.0111%26 May
cache13–70.0012%26 May
cache13–60.1518%26 May
office7–130.038%25 May
cache13–70.0725%25 May
cache13–60.1322%25 May
cache2–130.0111%24 May
cache13–9-0.0413%24 May
inferno6–13-0.0219%24 May
dust215–150.0219%24 May
mirage11–13-0.0316%24 May
cache13–100.048%23 May
warden13–110.026%23 May
cache13–10.0811%23 May
cache11–130.0311%22 May
alpine13–30.1923%22 May
cache13–110.048%22 May
cache12–120.0313%22 May
dust27–13-0.0910%22 May
cache13–90.039%22 May
office4–13-0.0814%22 May
cache11–130.0317%18 May
dust213–70.0222%18 May
cache6–13-0.0225%18 May
cache13–70.0715%18 May
cache8–130.019%15 May
cache13–50.0113%15 May
cache12–120.0623%15 May
cache13–90.0812%13 May
cache13–90.0112%13 May
cache10–130.0133%11 May
cache13–70.0325%11 May
nuke13–100.0330%19 Apr
overpass5–13-0.0711%19 Apr
nuke13–20.1332%19 Apr
nuke13–80.0120%19 Apr
office13–80.0216%5 Apr
dust213–40.0513%5 Apr
nuke13–11-0.016%29 Mar
inferno14–16-0.0513%29 Mar
dust213–6-0.009%29 Mar
dust213–11-0.0317%26 Feb
dust210–130.0316%26 Feb
ancient13–5-0.027%26 Feb
nuke7–13-0.0811%26 Feb
anubis3–130.0122%23 Feb
inferno13–110.0722%22 Feb
dust213–80.0119%22 Feb
mirage11–13-0.0213%22 Feb
mirage15–150.0320%22 Feb
dust29–130.0013%19 Feb
dust215–15-0.029%19 Feb
nuke13–10-0.0224%18 Feb
dust210–130.0425%18 Feb
ancient10–13-0.0411%16 Feb
mirage13–110.0223%16 Feb
anubis13–7-0.0121%16 Feb
dust213–10-0.0217%9 Feb
anubis13–40.0612%9 Feb
ancient2–13-0.0216%9 Feb
dust213–70.0215%9 Feb
mirage15–15-0.018%8 Feb
mirage13–16-0.0515%8 Feb
dust210–13-0.0720%31 Jan
nuke7–13-0.0418%31 Jan
nuke15–15-0.0110%25 Jan
mirage6–13-0.019%25 Jan
mirage3–13-0.0410%25 Jan
ancient13–10-0.0513%25 Jan
dust215–150.0413%25 Jan
ancient6–13-0.0011%19 Jan
ancient10–13-0.0512%19 Jan
ancient15–150.0616%19 Jan
nuke8–13-0.0119%19 Jan

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 →