Stal — CS2 Stats
76561197966860996[U:1:6595268]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashesHigh utility contribution
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 ZywOo 90% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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
Strengths
Flashes. 0.75 enemies blinded per flash — utility that consistently lands.
Utility. Utility score of 78 — grenade impact well above the norm.
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 6.2/10 (Solid), 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 |
|---|---|---|---|---|---|
| D | 19 | 5–14 | 26% | 0.03 | |
| C | 19 | 8–11 | 42% | 0.01 | |
| D | 14 | 3–11 | 21% | 0.01 | |
| B | 13 | 7–6 | 54% | 0.03 | |
| D | 12 | 4–8 | 33% | 0.03 | |
| A | 9 | 5–4 | 56% | 0.04 | |
| D | 6 | 1–5 | 17% | 0.04 | |
| D | 5 | 1–4 | 20% | -0.02 | |
| — | 1 | 0–1 | 0% | 0.02 | |
| alpine | — | 1 | 0–1 | 0% | -0.01 |
| — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 49 | 51% | 1.38 | 21.2 |
| Ancient | 42 | 48% | 1.25 | 18.7 |
| Mirage | 31 | 55% | 1.22 | 16.1 |
| Dust2 | 19 | 58% | 1.39 | 20.7 |
| Inferno | 16 | 62% | 1.32 | 20.8 |
| Train | 8 | 38% | 1.49 | 24.3 |
| Nuke | 8 | 62% | 1.51 | 21.9 |
| Overpass | 3 | 67% | 1.45 | 23.7 |
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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.04 | 16% | 24 Aug → | ||
| 6–13 | -0.05 | 20% | 24 Aug → | ||
| 10–13 | 0.07 | 30% | 22 Aug → | ||
| 13–6 | 0.15 | 36% | 22 Aug → | ||
| 13–8 | 0.16 | 23% | 20 Aug → | ||
| 4–13 | -0.02 | 28% | 20 Aug → | ||
| 13–6 | 0.13 | 23% | 19 Aug → | ||
| 13–10 | 0.13 | 24% | 19 Aug → | ||
| 13–7 | -0.00 | 20% | 19 Aug → | ||
| 13–6 | 0.01 | 16% | 18 Aug → | ||
| 11–13 | 0.03 | 21% | 18 Aug → | ||
| 9–13 | -0.01 | 22% | 18 Aug → | ||
| 9–13 | 0.08 | 26% | 9 Aug → | ||
| 13–1 | 0.09 | 25% | 9 Aug → | ||
| 8–13 | -0.02 | 35% | 9 Aug → | ||
| 13–10 | 0.06 | 32% | 9 Aug → | ||
| 11–13 | 0.01 | 33% | 9 Aug → | ||
| 13–10 | 0.01 | 14% | 9 Aug → | ||
| 7–13 | 0.00 | 19% | 27 Jul → | ||
| 13–2 | 0.08 | 15% | 27 Jul → | ||
| 10–13 | 0.00 | 25% | 26 Jul → | ||
| 13–7 | 0.04 | 18% | 26 Jul → | ||
| 10–13 | 0.01 | 20% | 26 Jul → | ||
| 2–13 | -0.06 | 21% | 26 Jul → | ||
| 8–13 | 0.03 | 16% | 26 Jul → | ||
| 13–6 | 0.13 | 20% | 24 Jul → | ||
| 9–13 | -0.02 | 29% | 24 Jul → | ||
| 4–13 | -0.03 | 14% | 19 Jul → | ||
| 15–15 | 0.04 | 21% | 18 Jul → | ||
| 11–13 | -0.04 | 23% | 12 Jul → | ||
| 14–16 | 0.02 | 29% | 11 Jul → | ||
| 16–14 | 0.01 | 14% | 11 Jul → | ||
| 9–13 | 0.09 | 15% | 11 Jul → | ||
| 8–13 | -0.03 | 16% | 9 Jul → | ||
| 13–7 | -0.03 | 19% | 9 Jul → | ||
| 13–6 | 0.08 | 21% | 9 Jul → | ||
| 13–7 | 0.02 | 14% | 9 Jul → | ||
| 10–13 | 0.02 | 19% | 28 Jun → | ||
| 13–7 | -0.03 | 21% | 28 Jun → | ||
| 5–13 | 0.02 | 16% | 28 Jun → | ||
| 13–7 | 0.02 | 15% | 28 Jun → | ||
| 13–6 | 0.03 | 10% | 28 Jun → | ||
| 9–13 | 0.16 | 26% | 27 Jun → | ||
| 3–2 | 0.02 | 18% | 14 Jun → | ||
| 1–13 | -0.05 | 26% | 14 Jun → | ||
| 4–13 | 0.01 | 20% | 14 Jun → | ||
| 6–13 | -0.03 | 15% | 14 Jun → | ||
| 10–13 | -0.03 | 13% | 13 Jun → | ||
| 13–10 | 0.05 | 19% | 13 Jun → | ||
| 13–8 | 0.10 | 23% | 13 Jun → | ||
| 13–11 | 0.05 | 9% | 13 Jun → | ||
| 3–13 | -0.07 | 12% | 12 Jun → | ||
| 13–5 | 0.16 | 38% | 12 Jun → | ||
| 11–13 | 0.04 | 13% | 12 Jun → | ||
| 8–13 | 0.06 | 23% | 12 Jun → | ||
| 13–7 | -0.04 | 12% | 10 Jun → | ||
| 9–13 | 0.02 | 22% | 31 May → | ||
| 13–8 | 0.03 | 9% | 31 May → | ||
| 11–13 | 0.00 | 19% | 29 May → | ||
| 5–13 | -0.02 | 23% | 29 May → | ||
| 11–13 | 0.06 | 18% | 29 May → | ||
| 13–9 | -0.01 | 19% | 23 May → | ||
| 9–13 | 0.08 | 24% | 23 May → | ||
| 4–13 | -0.01 | 12% | 23 May → | ||
| 8–13 | 0.01 | 8% | 23 May → | ||
| 6–13 | 0.02 | 27% | 23 May → | ||
| 3–13 | -0.02 | 26% | 22 May → | ||
| 13–5 | 0.02 | 27% | 22 May → | ||
| 7–13 | 0.02 | 19% | 22 May → | ||
| 11–13 | -0.01 | 20% | 22 May → | ||
| 11–13 | -0.00 | 23% | 22 May → | ||
| 9–13 | 0.01 | 17% | 21 May → | ||
| 13–10 | 0.03 | 15% | 21 May → | ||
| 5–13 | -0.04 | 18% | 21 May → | ||
| 9–13 | -0.00 | 15% | 20 May → | ||
| 13–9 | 0.13 | 22% | 20 May → | ||
| 4–13 | -0.00 | 22% | 20 May → | ||
| 2–13 | -0.05 | 13% | 19 May → | ||
| 0–13 | -0.06 | 10% | 19 May → | ||
| 4–13 | -0.00 | 27% | 19 May → | ||
| 15–15 | 0.09 | 20% | 19 May → | ||
| 5–13 | 0.03 | 17% | 19 May → | ||
| 10–13 | 0.09 | 25% | 16 May → | ||
| 15–15 | 0.02 | 19% | 16 May → | ||
| 10–13 | 0.05 | 22% | 16 May → | ||
| 4–13 | -0.05 | 13% | 13 May → | ||
| 13–10 | 0.06 | 20% | 13 May → | ||
| 13–11 | 0.02 | 17% | 9 May → | ||
| 1–13 | -0.01 | 19% | 9 May → | ||
| 2–13 | -0.03 | 21% | 9 May → | ||
| 6–13 | 0.03 | 18% | 9 May → | ||
| 13–8 | -0.01 | 9% | 9 May → | ||
| 11–13 | -0.01 | 19% | 7 May → | ||
| 13–16 | 0.04 | 12% | 26 Apr → | ||
| alpine | 3–13 | -0.01 | 22% | 26 Apr → | |
| 10–13 | 0.01 | 18% | 25 Apr → | ||
| 6–13 | -0.05 | 27% | 24 Apr → | ||
| 16–14 | 0.01 | 12% | 24 Apr → | ||
| 11–13 | 0.07 | 27% | 24 Apr → | ||
| 9–13 | -0.03 | 16% | 7 Apr → |
Match data via Leetify.