Zalty — CS2 Stats
76561199081915014[U:1:1121649286]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes
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 s1mple 94% playstyle similarity
Most alike: opening-fight frequency, positioning 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
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.93 enemies blinded per flash — utility that consistently lands.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 65% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 574ms 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 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 87 | 47–40 | 54% | 0.05 | |
| S | 5 | 4–1 | 80% | -0.03 | |
| A | 5 | 3–2 | 60% | 0.02 | |
| — | 1 | 1–0 | 100% | 0.10 | |
| office | — | 1 | 0–1 | 0% | 0.07 |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (54% over 87). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 51 | 73% | 1.25 | 16.8 |
| Ancient | 16 | 44% | 1.71 | 15.5 |
| Inferno | 13 | 38% | 1.25 | 17.1 |
| Anubis | 13 | 38% | 1.08 | 16.2 |
| Vertigo | 12 | 58% | 1.46 | 21.2 |
| Nuke | 9 | 78% | 1.24 | 19.2 |
| Dust2 | 8 | 62% | 1.40 | 22.0 |
| Overpass | 4 | 50% | 1.40 | 20.3 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–6 | 0.05 | 56% | 26 Aug → | ||
| 11–13 | 0.03 | 22% | 25 Aug → | ||
| 6–9 | 0.03 | 45% | 17 Aug → | ||
| 10–13 | 0.04 | 27% | 16 Aug → | ||
| 6–13 | 0.02 | 25% | 6 Aug → | ||
| 13–3 | 0.15 | 27% | 6 Aug → | ||
| 13–10 | 0.15 | 32% | 5 Aug → | ||
| 11–13 | 0.08 | 32% | 2 Aug → | ||
| 10–13 | 0.13 | 23% | 29 Jul → | ||
| 13–9 | 0.02 | 21% | 28 Jul → | ||
| 13–10 | 0.06 | 25% | 28 Jul → | ||
| 9–1 | 0.12 | 11% | 28 Jul → | ||
| 6–13 | -0.05 | 15% | 27 Jul → | ||
| 7–13 | -0.03 | 23% | 20 Jul → | ||
| 13–11 | 0.04 | 25% | 18 Jul → | ||
| 11–13 | 0.01 | 26% | 14 Jul → | ||
| 13–6 | 0.11 | 27% | 14 Jul → | ||
| 13–4 | 0.20 | 23% | 12 Jul → | ||
| 13–4 | 0.14 | 22% | 12 Jul → | ||
| 13–5 | 0.04 | 38% | 12 Jul → | ||
| 13–10 | 0.04 | 22% | 12 Jul → | ||
| 13–10 | 0.08 | 17% | 11 Jul → | ||
| 13–7 | 0.09 | 38% | 11 Jul → | ||
| 13–10 | 0.09 | 19% | 10 Jul → | ||
| 10–13 | 0.09 | 52% | 10 Jul → | ||
| 7–13 | -0.03 | 22% | 10 Jul → | ||
| 5–13 | 0.06 | 31% | 9 Jul → | ||
| 12–12 | 0.03 | 17% | 5 Jul → | ||
| 8–13 | 0.11 | 14% | 5 Jul → | ||
| 13–5 | 0.03 | 33% | 1 Jul → | ||
| 12–12 | 0.02 | 24% | 1 Jul → | ||
| 13–10 | -0.03 | 27% | 1 Jul → | ||
| 13–2 | 0.07 | 23% | 1 Jul → | ||
| 6–9 | 0.04 | 15% | 1 Jul → | ||
| 9–5 | 0.10 | 11% | 30 Jun → | ||
| 8–8 | 0.04 | 18% | 30 Jun → | ||
| 4–13 | 0.09 | 37% | 29 Jun → | ||
| 13–9 | 0.08 | 20% | 29 Jun → | ||
| 13–3 | -0.01 | 18% | 29 Jun → | ||
| 4–13 | -0.04 | 17% | 25 Jun → | ||
| 13–4 | -0.03 | 6% | 25 Jun → | ||
| 10–13 | 0.03 | 28% | 25 Jun → | ||
| 7–13 | -0.03 | 11% | 22 Jun → | ||
| 13–3 | 0.10 | 22% | 21 Jun → | ||
| 9–5 | -0.00 | 29% | 21 Jun → | ||
| 9–5 | 0.03 | 23% | 21 Jun → | ||
| 9–3 | 0.10 | 58% | 21 Jun → | ||
| 13–4 | -0.02 | 30% | 19 Jun → | ||
| 13–4 | 0.08 | 29% | 19 Jun → | ||
| 1–1 | -0.11 | 0% | 19 Jun → | ||
| 13–6 | 0.04 | 26% | 16 Jun → | ||
| office | 8–13 | 0.07 | 47% | 16 Jun → | |
| 12–12 | 0.05 | 34% | 14 Jun → | ||
| 13–10 | 0.12 | 32% | 14 Jun → | ||
| 3–12 | -0.05 | 12% | 12 Jun → | ||
| 13–7 | 0.01 | 14% | 12 Jun → | ||
| 10–13 | -0.05 | 30% | 12 Jun → | ||
| 6–1 | 0.01 | 50% | 12 Jun → | ||
| 13–6 | 0.03 | 37% | 12 Jun → | ||
| 13–3 | 0.07 | 15% | 12 Jun → | ||
| 12–12 | 0.01 | 30% | 10 Jun → | ||
| 4–13 | 0.12 | 27% | 10 Jun → | ||
| 6–13 | 0.04 | 12% | 3 Jun → | ||
| 13–3 | 0.03 | 18% | 2 Jun → | ||
| 4–13 | 0.04 | 46% | 2 Jun → | ||
| 13–6 | 0.06 | 26% | 2 Jun → | ||
| 3–13 | 0.02 | 17% | 31 May → | ||
| 13–7 | 0.01 | 50% | 31 May → | ||
| 13–6 | 0.12 | 25% | 31 May → | ||
| 13–8 | 0.08 | 47% | 29 May → | ||
| 13–2 | -0.04 | 26% | 29 May → | ||
| 12–12 | 0.04 | 48% | 29 May → | ||
| 13–7 | 0.12 | 7% | 29 May → | ||
| 13–4 | 0.18 | 35% | 29 May → | ||
| 13–6 | 0.13 | 21% | 28 May → | ||
| 6–13 | 0.05 | 33% | 28 May → | ||
| 3–1 | -0.04 | 50% | 28 May → | ||
| 13–6 | 0.12 | 22% | 27 May → | ||
| 13–10 | 0.01 | 29% | 27 May → | ||
| 7–13 | 0.01 | 31% | 27 May → | ||
| 13–9 | 0.07 | 22% | 26 May → | ||
| 13–11 | 0.08 | 28% | 26 May → | ||
| 13–10 | 0.06 | 17% | 25 May → | ||
| 13–7 | -0.00 | 33% | 25 May → | ||
| 12–12 | 0.03 | 28% | 24 May → | ||
| 13–6 | 0.17 | 30% | 22 May → | ||
| 11–13 | 0.01 | 27% | 18 May → | ||
| 11–13 | -0.08 | 21% | 15 May → | ||
| 13–3 | 0.06 | 22% | 15 May → | ||
| 7–13 | 0.01 | 10% | 14 May → | ||
| 13–7 | 0.03 | 48% | 14 May → | ||
| 13–3 | 0.03 | 31% | 14 May → | ||
| 7–13 | 0.03 | 21% | 13 May → | ||
| 12–12 | 0.13 | 48% | 12 May → | ||
| 9–13 | 0.04 | 29% | 6 May → | ||
| 13–8 | 0.11 | 19% | 5 May → | ||
| 2–7 | 0.02 | 29% | 4 May → | ||
| 7–13 | 0.08 | 20% | 4 May → | ||
| 1–13 | -0.01 | 20% | 1 May → | ||
| 11–13 | -0.02 | 33% | 30 Apr → |
Match data via Leetify.