Astrala -iwnl- — CS2 Stats
76561198241592658[U:1:281326930]
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,022), 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.
| Metric | This player | Level 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 36.0% | 46.2% | 47.2% | 11.2% short |
| Shot accuracy | 17.9% | 12.5% | 12.3% | above |
| Kill/death ratio | 1.15 | 1.06 | 1.07 | above |
| Match win rate | 45.4% | 45.9% | 46.3% | 1.0% short |
This profile matches the typical Level 8 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 sh1ro 89% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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. 570ms 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 6.5/10 (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
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 |
|---|---|---|---|---|---|
| A | 45 | 26–19 | 58% | -0.00 | |
| D | 18 | 4–14 | 22% | -0.02 | |
| B | 15 | 8–7 | 53% | 0.01 | |
| A | 9 | 5–4 | 56% | 0.01 | |
| A | 7 | 4–3 | 57% | -0.00 | |
| office | — | 2 | 0–2 | 0% | -0.07 |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 1–0 | 100% | -0.05 | |
| — | 1 | 1–0 | 100% | -0.08 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 4 | 75% | 0.42 | 6.3 |
| Mirage | 1 | 100% | 1.29 | 18.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.02 | 16% | 29 Aug → | ||
| 13–4 | -0.00 | 17% | 29 Aug → | ||
| 3–13 | -0.08 | 10% | 24 Aug → | ||
| 4–13 | -0.10 | 17% | 24 Aug → | ||
| 11–13 | -0.02 | 10% | 20 Aug → | ||
| 5–13 | 0.00 | 16% | 20 Aug → | ||
| 8–13 | -0.01 | 22% | 18 Aug → | ||
| 13–7 | 0.04 | 18% | 17 Aug → | ||
| 13–11 | -0.01 | 13% | 17 Aug → | ||
| 13–7 | -0.05 | 19% | 17 Aug → | ||
| 13–10 | -0.01 | 29% | 13 Aug → | ||
| 3–13 | -0.06 | 14% | 13 Aug → | ||
| 12–16 | -0.02 | 18% | 13 Aug → | ||
| 13–11 | 0.01 | 17% | 13 Aug → | ||
| 13–9 | 0.02 | 11% | 12 Aug → | ||
| 16–13 | -0.01 | 26% | 11 Aug → | ||
| 8–13 | -0.00 | 25% | 10 Aug → | ||
| 13–8 | -0.03 | 16% | 10 Aug → | ||
| 6–1 | 0.00 | 0% | 10 Aug → | ||
| 15–15 | -0.06 | 10% | 9 Aug → | ||
| 13–9 | -0.03 | 16% | 9 Aug → | ||
| 6–13 | -0.02 | 29% | 9 Aug → | ||
| 3–13 | -0.01 | 35% | 7 Aug → | ||
| 13–11 | -0.00 | 20% | 7 Aug → | ||
| 8–13 | -0.06 | 17% | 7 Aug → | ||
| 13–6 | 0.05 | 21% | 6 Aug → | ||
| 13–10 | 0.03 | 15% | 6 Aug → | ||
| 13–11 | 0.01 | 22% | 6 Aug → | ||
| 1–13 | -0.13 | 20% | 5 Aug → | ||
| 10–13 | -0.02 | 17% | 5 Aug → | ||
| 9–1 | -0.03 | 19% | 3 Aug → | ||
| 10–13 | -0.01 | 16% | 3 Aug → | ||
| 13–9 | 0.10 | 28% | 3 Aug → | ||
| 9–13 | 0.00 | 20% | 2 Aug → | ||
| 3–13 | -0.04 | 30% | 2 Aug → | ||
| 13–6 | 0.00 | 20% | 2 Aug → | ||
| 11–13 | -0.00 | 25% | 1 Aug → | ||
| 13–9 | 0.01 | 28% | 1 Aug → | ||
| 7–13 | -0.03 | 17% | 1 Aug → | ||
| 15–15 | -0.01 | 12% | 31 Jul → | ||
| 13–4 | 0.08 | 28% | 30 Jul → | ||
| 14–16 | -0.03 | 13% | 30 Jul → | ||
| 8–13 | -0.05 | 17% | 29 Jul → | ||
| 11–13 | -0.01 | 15% | 29 Jul → | ||
| 13–9 | -0.03 | 9% | 28 Jul → | ||
| 13–9 | 0.02 | 16% | 27 Jul → | ||
| 7–13 | -0.06 | 14% | 27 Jul → | ||
| 8–13 | -0.03 | 22% | 27 Jul → | ||
| 16–14 | -0.00 | 15% | 24 Jul → | ||
| 5–1 | -0.09 | 29% | 24 Jul → | ||
| 11–13 | 0.09 | 21% | 24 Jul → | ||
| 13–7 | 0.04 | 3% | 24 Jul → | ||
| 15–15 | 0.03 | 10% | 24 Jul → | ||
| 13–3 | 0.08 | 32% | 24 Jul → | ||
| 13–9 | 0.07 | 26% | 23 Jul → | ||
| 13–2 | -0.07 | 6% | 23 Jul → | ||
| 13–2 | 0.06 | 13% | 23 Jul → | ||
| 13–2 | 0.03 | 24% | 23 Jul → | ||
| 13–10 | -0.00 | 38% | 16 Jul → | ||
| 13–11 | 0.10 | 18% | 16 Jul → | ||
| 14–16 | 0.01 | 20% | 15 Jul → | ||
| 4–13 | 0.04 | 16% | 15 Jul → | ||
| 0–13 | -0.06 | 20% | 15 Jul → | ||
| 5–13 | 0.02 | 26% | 14 Jul → | ||
| 13–9 | 0.04 | 15% | 14 Jul → | ||
| 3–13 | 0.07 | 14% | 14 Jul → | ||
| 1–13 | -0.11 | 13% | 14 Jul → | ||
| 8–13 | -0.02 | 25% | 13 Jul → | ||
| 13–5 | 0.06 | 36% | 13 Jul → | ||
| 8–13 | 0.03 | 23% | 13 Jul → | ||
| 15–15 | 0.03 | 23% | 11 Jul → | ||
| 13–5 | 0.05 | 22% | 11 Jul → | ||
| 9–13 | -0.05 | 29% | 10 Jul → | ||
| 16–13 | 0.02 | 12% | 10 Jul → | ||
| 13–1 | -0.02 | 6% | 10 Jul → | ||
| office | 9–13 | -0.07 | 14% | 9 Jul → | |
| 13–11 | -0.02 | 17% | 9 Jul → | ||
| office | 4–13 | -0.07 | 28% | 8 Jul → | |
| 6–13 | -0.01 | 29% | 8 Jul → | ||
| 13–7 | -0.06 | 38% | 7 Jul → | ||
| 13–3 | -0.02 | 22% | 7 Jul → | ||
| 6–13 | -0.05 | 20% | 7 Jul → | ||
| 11–13 | 0.06 | 19% | 7 Jul → | ||
| 10–13 | -0.03 | 32% | 6 Jul → | ||
| 13–8 | 0.05 | 34% | 6 Jul → | ||
| 13–3 | -0.02 | 29% | 6 Jul → | ||
| 13–3 | 0.04 | 19% | 6 Jul → | ||
| 10–13 | -0.04 | 14% | 3 Jul → | ||
| 13–6 | 0.04 | 21% | 3 Jul → | ||
| 4–13 | -0.03 | 22% | 3 Jul → | ||
| 3–13 | -0.07 | 27% | 2 Jul → | ||
| 10–13 | -0.00 | 21% | 2 Jul → | ||
| 13–8 | 0.05 | 15% | 2 Jul → | ||
| 9–0 | -0.08 | 6% | 2 Jul → | ||
| 13–9 | -0.01 | 34% | 1 Jul → | ||
| 12–12 | 0.05 | 40% | 1 Jul → | ||
| 13–7 | 0.01 | 25% | 30 Jun → | ||
| 8–13 | 0.03 | 29% | 30 Jun → | ||
| 13–5 | 0.01 | 23% | 29 Jun → | ||
| 15–15 | -0.03 | 10% | 29 Jun → |
Match data via Leetify.