astro — CS2 Stats
76561198119077904[U:1:158812176]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
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

Plays most like NiKo 80% playstyle similarity
Most alike: opening-duel success, positioning profile.
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. 661ms 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
Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.
Trends
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
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| B | 29 | 14–15 | 48% | -0.02 | |
| A | 22 | 14–8 | 64% | -0.02 | |
| B | 12 | 6–6 | 50% | -0.01 | |
| A | 12 | 7–5 | 58% | -0.02 | |
| C | 9 | 4–5 | 44% | 0.01 | |
| S | 7 | 7–0 | 100% | 0.01 | |
| — | 3 | 3–0 | 100% | 0.05 | |
| — | 2 | 2–0 | 100% | 0.00 | |
| poseidon | — | 2 | 0–2 | 0% | 0.08 |
| — | 1 | 1–0 | 100% | -0.04 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 16 | 50% | 1.09 | 16.4 |
| Dust2 | 8 | 88% | 1.04 | 12.5 |
| Anubis | 4 | 50% | 1.49 | 18.0 |
| Ancient | 3 | 100% | 1.18 | 17.7 |
| Overpass | 1 | 100% | 1.67 | 20.0 |
| Nuke | 1 | 100% | 1.11 | 21.0 |
| Inferno | 1 | 0% | 0.60 | 12.0 |
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.
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4783 — below the 0.5 mark we flag
- 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 37.5327% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.07 | 14% | 10 Jun → | ||
| 13–11 | -0.04 | 20% | 12 May → | ||
| 12–12 | -0.07 | 9% | 12 May → | ||
| 4–13 | -0.03 | 30% | 12 May → | ||
| 12–12 | -0.01 | 24% | 8 May → | ||
| 12–12 | 0.04 | 16% | 8 May → | ||
| 13–4 | 0.10 | 34% | 8 May → | ||
| 13–10 | -0.03 | 25% | 3 May → | ||
| 13–10 | 0.01 | 27% | 3 May → | ||
| 16–12 | -0.02 | 10% | 3 May → | ||
| 9–13 | -0.01 | 11% | 3 May → | ||
| 13–6 | 0.00 | 33% | 2 May → | ||
| 13–3 | -0.04 | 25% | 2 May → | ||
| 3–0 | -0.02 | 0% | 2 May → | ||
| 12–12 | -0.03 | 24% | 29 Apr → | ||
| 11–13 | 0.01 | 18% | 29 Apr → | ||
| 11–13 | -0.09 | 18% | 3 Apr → | ||
| 13–6 | -0.01 | 8% | 3 Apr → | ||
| 9–13 | 0.05 | 18% | 3 Apr → | ||
| 5–13 | -0.10 | 18% | 23 Mar → | ||
| 14–16 | -0.06 | 13% | 23 Mar → | ||
| 9–13 | 0.00 | 24% | 21 Mar → | ||
| 8–13 | -0.02 | 19% | 18 Mar → | ||
| 9–13 | -0.07 | 6% | 18 Mar → | ||
| 13–10 | 0.00 | 8% | 18 Mar → | ||
| 6–13 | -0.07 | 7% | 18 Mar → | ||
| 13–9 | 0.01 | 25% | 18 Mar → | ||
| 14–16 | -0.01 | 14% | 18 Mar → | ||
| 13–8 | -0.00 | 10% | 17 Mar → | ||
| 2–13 | -0.03 | 6% | 9 Mar → | ||
| poseidon | 8–8 | 0.08 | 21% | 8 Mar → | |
| 13–11 | -0.02 | 17% | 8 Mar → | ||
| poseidon | 7–9 | 0.09 | 13% | 8 Mar → | |
| 13–10 | -0.03 | 17% | 8 Mar → | ||
| 13–10 | 0.02 | 8% | 8 Mar → | ||
| 6–13 | -0.06 | 25% | 8 Mar → | ||
| 13–9 | 0.04 | 14% | 6 Mar → | ||
| 5–13 | -0.07 | 11% | 6 Mar → | ||
| 5–13 | -0.06 | 20% | 6 Mar → | ||
| 11–13 | 0.01 | 11% | 6 Mar → | ||
| 12–16 | 0.00 | 28% | 5 Mar → | ||
| 16–14 | 0.01 | 13% | 5 Mar → | ||
| 11–13 | -0.05 | 10% | 5 Mar → | ||
| 13–11 | -0.08 | 19% | 4 Mar → | ||
| 10–13 | -0.04 | 14% | 4 Mar → | ||
| 13–8 | -0.04 | 31% | 4 Mar → | ||
| 13–7 | 0.05 | 10% | 3 Mar → | ||
| 13–11 | -0.01 | 17% | 3 Mar → | ||
| 13–10 | 0.03 | 12% | 3 Mar → | ||
| 13–5 | -0.04 | 3% | 2 Mar → | ||
| 10–13 | -0.01 | 38% | 2 Mar → | ||
| 16–14 | 0.01 | 11% | 2 Mar → | ||
| 13–9 | 0.02 | 20% | 2 Mar → | ||
| 1–6 | -0.04 | 80% | 2 Mar → | ||
| 2–13 | -0.09 | 19% | 1 Mar → | ||
| 13–11 | 0.06 | 12% | 1 Mar → | ||
| 13–9 | -0.02 | 7% | 1 Mar → | ||
| 13–7 | 0.09 | 16% | 27 Feb → | ||
| 13–7 | 0.02 | 16% | 27 Feb → | ||
| 13–10 | 0.09 | 18% | 26 Feb → | ||
| 13–6 | -0.01 | 26% | 26 Feb → | ||
| 10–13 | -0.02 | 9% | 26 Feb → | ||
| 13–10 | 0.03 | 19% | 26 Feb → | ||
| 13–7 | -0.01 | 19% | 25 Feb → | ||
| 13–3 | 0.02 | 40% | 25 Feb → | ||
| 13–3 | 0.04 | 11% | 25 Feb → | ||
| 11–13 | -0.10 | 9% | 25 Feb → | ||
| 4–1 | -0.06 | 9% | 25 Feb → | ||
| 4–13 | -0.11 | 16% | 25 Feb → | ||
| 13–3 | -0.01 | 11% | 24 Feb → | ||
| 13–4 | 0.06 | 14% | 24 Feb → | ||
| 13–9 | 0.03 | 24% | 24 Feb → | ||
| 5–13 | -0.06 | 33% | 24 Feb → | ||
| 19–16 | -0.01 | 17% | 24 Feb → | ||
| 13–2 | -0.02 | 19% | 24 Feb → | ||
| 5–13 | 0.00 | 14% | 24 Feb → | ||
| 13–8 | 0.05 | 12% | 24 Feb → | ||
| 13–4 | 0.18 | 6% | 24 Feb → | ||
| 5–13 | -0.01 | 19% | 24 Feb → | ||
| 13–6 | -0.04 | 16% | 23 Feb → | ||
| 9–13 | -0.03 | 13% | 23 Feb → | ||
| 13–11 | 0.04 | 17% | 23 Feb → | ||
| 2–13 | -0.07 | 9% | 23 Feb → | ||
| 13–8 | 0.02 | 18% | 22 Feb → | ||
| 0–8 | -0.07 | 14% | 22 Feb → | ||
| 5–13 | -0.13 | 18% | 22 Feb → | ||
| 8–0 | 0.03 | 20% | 22 Feb → | ||
| 13–4 | -0.05 | 14% | 22 Feb → | ||
| 10–13 | -0.04 | 16% | 22 Feb → | ||
| 13–8 | 0.01 | 14% | 22 Feb → | ||
| 13–5 | -0.02 | 10% | 18 Feb → | ||
| 13–8 | -0.04 | 4% | 18 Feb → | ||
| 13–5 | 0.09 | 7% | 18 Feb → | ||
| 16–14 | 0.03 | 20% | 18 Feb → | ||
| 13–7 | -0.06 | 11% | 18 Feb → | ||
| 13–5 | 0.02 | 8% | 18 Feb → | ||
| 13–9 | -0.05 | 9% | 17 Feb → | ||
| 13–7 | 0.06 | 13% | 17 Feb → | ||
| 13–6 | 0.01 | 18% | 17 Feb → | ||
| 4–13 | -0.04 | 19% | 17 Feb → |
Match data via Leetify.