Zantast — CS2 Stats
US76561198098818440[U:1:138552712]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -70pp win rate · -0.17 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited utility dependence
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 device 77% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower positioning profile; lower utility contribution.
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
Aim. Aim score of 100 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 73 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Counter-strafing. Only 0% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 5.2/10 (Developing), 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 | 25 | 16–9 | 64% | 0.12 | |
| S | 20 | 16–4 | 80% | 0.07 | |
| S | 14 | 10–4 | 71% | 0.09 | |
| S | 11 | 8–3 | 73% | 0.05 | |
| S | 7 | 6–1 | 86% | 0.12 | |
| — | 4 | 3–1 | 75% | -0.00 | |
| rooftop | — | 4 | 2–2 | 50% | 0.07 |
| — | 3 | 3–0 | 100% | 0.14 | |
| — | 3 | 1–2 | 33% | 0.20 | |
| — | 3 | 1–2 | 33% | 0.14 | |
| office | — | 2 | 0–2 | 0% | 0.08 |
| debris | — | 1 | 1–0 | 100% | 0.37 |
| eldorado | — | 1 | 1–0 | 100% | 0.22 |
| poseidon | — | 1 | 1–0 | 100% | 0.05 |
| golden | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (64% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
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.
- Movement GuidePractice Config →
Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.
Counter-strafing 0% — below the 45% mark we flag
- Advanced MechanicsPractice Config →
Sustained sprays are missing more than they land, which is a recoil-control pattern you can drill directly.
Spray accuracy 0% — below the 20% mark we flag
- 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 — below the 0.5 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | 0.09 | 100% | 18 Jul → | ||
| 1–13 | -0.10 | 67% | 18 Jul → | ||
| 2–13 | -0.06 | 50% | 18 Jul → | ||
| 8–13 | -0.14 | 50% | 18 Jul → | ||
| 1–13 | -0.09 | 0% | 18 Jul → | ||
| 0–13 | -0.03 | 0% | 18 Jul → | ||
| 7–13 | 0.18 | 82% | 18 Jul → | ||
| 13–10 | 0.04 | 92% | 18 Jul → | ||
| 4–0 | 0.13 | 78% | 18 Jul → | ||
| 5–0 | 0.17 | 100% | 18 Jul → | ||
| 13–0 | 0.07 | 82% | 18 Jul → | ||
| 13–1 | 0.20 | 100% | 18 Jul → | ||
| 13–0 | 0.16 | 88% | 18 Jul → | ||
| 13–0 | 0.12 | 87% | 18 Jul → | ||
| 13–0 | 0.07 | 38% | 18 Jul → | ||
| 13–0 | 0.09 | 77% | 18 Jul → | ||
| 13–0 | 0.11 | 88% | 18 Jul → | ||
| 2–0 | 0.17 | 20% | 18 Jul → | ||
| 9–0 | 0.54 | 88% | 18 Jul → | ||
| 9–1 | 0.38 | 100% | 18 Jul → | ||
| 13–0 | 0.00 | 0% | 18 Jul → | ||
| 13–0 | 0.00 | 0% | 18 Jul → | ||
| 13–0 | 0.01 | 100% | 18 Jul → | ||
| 10–0 | 0.15 | 100% | 18 Jul → | ||
| 13–0 | 0.01 | 100% | 18 Jul → | ||
| 13–0 | 0.00 | 0% | 18 Jul → | ||
| 13–0 | 0.15 | 91% | 18 Jul → | ||
| 7–13 | -0.08 | 80% | 17 Jul → | ||
| 13–9 | -0.02 | 88% | 17 Jul → | ||
| 13–0 | 0.09 | 100% | 17 Jul → | ||
| 13–0 | 0.10 | 100% | 17 Jul → | ||
| 13–0 | 0.08 | 91% | 17 Jul → | ||
| 7–13 | 0.16 | 90% | 17 Jul → | ||
| 13–0 | 0.07 | 73% | 17 Jul → | ||
| 13–0 | 0.02 | 0% | 17 Jul → | ||
| 13–0 | 0.06 | 15% | 17 Jul → | ||
| 13–0 | 0.02 | 0% | 17 Jul → | ||
| 13–4 | 0.08 | 83% | 17 Jul → | ||
| 13–0 | 0.00 | 100% | 17 Jul → | ||
| 13–5 | 0.07 | 94% | 17 Jul → | ||
| 0–13 | -0.11 | 100% | 17 Jul → | ||
| 13–1 | 0.07 | 100% | 17 Jul → | ||
| 5–0 | 0.04 | 100% | 17 Jul → | ||
| 13–0 | -0.02 | 0% | 17 Jul → | ||
| 13–0 | 0.03 | 100% | 17 Jul → | ||
| 13–0 | 0.11 | 83% | 17 Jul → | ||
| 13–0 | 0.07 | 76% | 17 Jul → | ||
| 13–2 | 0.19 | 100% | 17 Jul → | ||
| 13–0 | 0.10 | 93% | 17 Jul → | ||
| 13–0 | 0.09 | 100% | 17 Jul → | ||
| 2–0 | 0.00 | 100% | 17 Jul → | ||
| 5–0 | 0.07 | 44% | 17 Jul → | ||
| 13–0 | 0.06 | 75% | 17 Jul → | ||
| 13–0 | 0.10 | 86% | 17 Jul → | ||
| 13–1 | 0.00 | 0% | 17 Jul → | ||
| 13–0 | 0.00 | 0% | 17 Jul → | ||
| 13–0 | 0.08 | 94% | 17 Jul → | ||
| 13–0 | 0.17 | 95% | 17 Jul → | ||
| 13–0 | 0.10 | 100% | 17 Jul → | ||
| 4–13 | 0.11 | 92% | 17 Jul → | ||
| office | 9–13 | 0.07 | 70% | 17 Jul → | |
| 3–0 | 0.12 | 77% | 17 Jul → | ||
| 10–13 | 0.29 | 100% | 17 Jul → | ||
| 9–1 | 0.47 | 87% | 16 Jul → | ||
| 1–9 | -0.15 | 100% | 16 Jul → | ||
| debris | 9–1 | 0.37 | 88% | 16 Jul → | |
| 13–5 | 0.28 | 87% | 16 Jul → | ||
| 9–0 | 0.43 | 100% | 16 Jul → | ||
| 9–0 | 0.42 | 100% | 16 Jul → | ||
| eldorado | 8–0 | 0.22 | 100% | 16 Jul → | |
| 9–0 | 0.21 | 100% | 16 Jul → | ||
| 2–9 | 0.03 | 80% | 15 Jul → | ||
| 9–2 | 0.36 | 93% | 15 Jul → | ||
| 9–1 | 0.51 | 92% | 15 Jul → | ||
| 9–0 | 0.56 | 95% | 15 Jul → | ||
| 13–4 | 0.27 | 90% | 15 Jul → | ||
| 9–2 | 0.44 | 100% | 15 Jul → | ||
| 8–8 | -0.11 | 16% | 15 Jul → | ||
| 6–13 | 0.02 | 5% | 5 Jul → | ||
| 13–11 | 0.04 | 46% | 15 Jun → | ||
| 8–8 | -0.05 | 22% | 15 Jun → | ||
| 9–2 | 0.07 | 24% | 14 Jun → | ||
| 13–9 | 0.02 | 16% | 16 May → | ||
| 7–13 | 0.03 | 26% | 16 May → | ||
| 2–9 | -0.27 | 50% | 12 May → | ||
| 13–11 | 0.04 | 10% | 11 Mar → | ||
| poseidon | 9–7 | 0.05 | 9% | 1 Mar → | |
| rooftop | 4–9 | -0.02 | 8% | 4 Dec → | |
| rooftop | 9–7 | 0.01 | 15% | 4 Dec → | |
| 12–12 | 0.03 | 25% | 3 Dec → | ||
| rooftop | 2–9 | 0.01 | 14% | 3 Dec → | |
| 8–8 | 0.11 | 13% | 3 Dec → | ||
| 14–16 | 0.07 | 8% | 2 Dec → | ||
| 4–9 | 0.08 | 0% | 2 Dec → | ||
| 3–9 | -0.04 | 16% | 2 Dec → | ||
| 3–9 | -0.03 | 7% | 2 Dec → | ||
| 1–9 | -0.14 | 21% | 2 Dec → | ||
| office | 9–13 | 0.09 | 12% | 2 Dec → | |
| rooftop | 9–3 | 0.29 | 15% | 2 Dec → | |
| golden | 12–12 | 0.02 | 12% | 14 Oct → |
Match data via Leetify.