antisoxial — CS2 Stats
AL76561198330106860[U:1:369841132]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp 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-strafingEffective 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 sh1ro 95% 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 93 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 603ms 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 7.2/10 (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 |
|---|---|---|---|---|---|
| A | 31 | 18–13 | 58% | 0.05 | |
| A | 22 | 14–8 | 64% | 0.03 | |
| D | 17 | 5–12 | 29% | 0.02 | |
| D | 8 | 2–6 | 25% | 0.03 | |
| D | 7 | 1–6 | 14% | 0.04 | |
| D | 5 | 1–4 | 20% | 0.01 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 3 | 3–0 | 100% | 0.05 | |
| — | 2 | 1–1 | 50% | 0.11 | |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 67 | 52% | 1.22 | 18.4 |
| Mirage | 61 | 67% | 1.47 | 19.5 |
| Inferno | 35 | 40% | 1.33 | 17.2 |
| Anubis | 35 | 60% | 1.41 | 19.0 |
| Ancient | 32 | 41% | 1.20 | 16.9 |
| Cache | 13 | 54% | 1.28 | 18.5 |
| Nuke | 12 | 50% | 1.18 | 17.0 |
| Overpass | 11 | 64% | 1.49 | 23.6 |
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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 19–16 | 0.02 | 29% | 20 Aug → | ||
| 10–13 | -0.01 | 16% | 20 Aug → | ||
| 7–13 | -0.02 | 24% | 19 Aug → | ||
| 8–13 | -0.00 | 25% | 19 Aug → | ||
| 13–10 | 0.08 | 25% | 19 Aug → | ||
| 17–19 | -0.01 | 13% | 18 Aug → | ||
| 7–13 | 0.01 | 20% | 18 Aug → | ||
| 11–13 | 0.00 | 20% | 15 Aug → | ||
| 7–13 | -0.00 | 21% | 15 Aug → | ||
| 13–10 | 0.07 | 21% | 15 Aug → | ||
| 13–5 | -0.01 | 22% | 10 Aug → | ||
| 13–8 | 0.10 | 39% | 10 Aug → | ||
| 16–12 | 0.21 | 18% | 8 Aug → | ||
| 10–13 | 0.04 | 33% | 4 Aug → | ||
| 5–13 | -0.02 | 21% | 4 Aug → | ||
| 13–10 | -0.04 | 17% | 29 Jul → | ||
| 1–13 | -0.07 | 23% | 29 Jul → | ||
| 13–11 | 0.01 | 35% | 2 Jul → | ||
| 3–13 | -0.00 | 12% | 2 Jul → | ||
| 2–13 | 0.02 | 34% | 1 Jul → | ||
| 13–11 | 0.03 | 55% | 1 Jul → | ||
| 12–12 | 0.04 | 42% | 1 Jul → | ||
| 13–8 | 0.00 | 30% | 30 Jun → | ||
| 13–7 | -0.02 | 45% | 30 Jun → | ||
| 9–13 | 0.08 | 28% | 25 Jun → | ||
| 4–13 | 0.06 | 38% | 25 Jun → | ||
| 12–12 | 0.06 | 50% | 24 Jun → | ||
| 13–5 | 0.04 | 40% | 21 Jun → | ||
| 13–1 | 0.08 | 29% | 21 Jun → | ||
| 13–4 | 0.01 | 30% | 18 Jun → | ||
| 9–13 | 0.20 | 30% | 18 Jun → | ||
| 13–4 | 0.11 | 27% | 18 Jun → | ||
| 12–12 | 0.07 | 34% | 18 Jun → | ||
| 13–9 | 0.16 | 46% | 18 Jun → | ||
| 6–13 | -0.06 | 19% | 15 Jun → | ||
| 3–13 | -0.00 | 47% | 15 Jun → | ||
| 4–13 | -0.03 | 26% | 15 Jun → | ||
| 13–6 | 0.02 | 18% | 15 Jun → | ||
| 10–13 | 0.12 | 27% | 11 Jun → | ||
| 13–4 | 0.09 | 25% | 11 Jun → | ||
| 13–3 | 0.07 | 27% | 4 Jun → | ||
| 8–13 | 0.06 | 42% | 4 Jun → | ||
| 13–6 | 0.06 | 36% | 2 Jun → | ||
| 5–13 | 0.05 | 33% | 28 May → | ||
| 13–11 | 0.02 | 22% | 24 May → | ||
| 13–6 | 0.11 | 31% | 20 May → | ||
| 13–10 | 0.04 | 26% | 20 May → | ||
| 13–4 | 0.01 | 30% | 18 May → | ||
| 9–13 | -0.02 | 17% | 14 May → | ||
| 5–13 | -0.06 | 23% | 14 May → | ||
| 13–3 | 0.05 | 13% | 14 May → | ||
| 10–13 | -0.01 | 26% | 29 Mar → | ||
| 13–9 | 0.05 | 44% | 29 Mar → | ||
| 13–8 | 0.07 | 36% | 28 Mar → | ||
| 13–8 | -0.00 | 25% | 28 Mar → | ||
| 12–16 | 0.10 | 34% | 25 Mar → | ||
| 13–4 | 0.11 | 31% | 25 Mar → | ||
| 13–7 | 0.02 | 19% | 18 Mar → | ||
| 5–10 | 0.02 | 13% | 4 Mar → | ||
| 5–13 | 0.04 | 23% | 25 Nov → | ||
| 13–1 | 0.06 | 26% | 25 Nov → | ||
| 4–13 | -0.01 | 29% | 11 Nov → | ||
| 6–5 | 0.09 | 32% | 11 Nov → | ||
| 13–8 | 0.04 | 29% | 2 Nov → | ||
| 1–13 | 0.05 | 22% | 15 Oct → | ||
| 6–13 | -0.01 | 40% | 10 Oct → | ||
| 9–1 | 0.10 | 14% | 10 Oct → | ||
| 16–14 | 0.05 | 36% | 10 Oct → | ||
| 0–13 | -0.02 | 57% | 9 Oct → | ||
| 13–7 | 0.07 | 48% | 9 Oct → | ||
| 7–13 | -0.04 | 28% | 8 Oct → | ||
| 16–12 | 0.03 | 17% | 7 Oct → | ||
| 11–13 | 0.07 | 26% | 4 Oct → | ||
| 16–14 | 0.01 | 21% | 4 Oct → | ||
| 13–7 | 0.10 | 41% | 28 Sept → | ||
| 0–13 | -0.06 | 36% | 26 Sept → | ||
| 4–13 | 0.00 | 25% | 26 Sept → | ||
| 13–11 | -0.03 | 25% | 26 Sept → | ||
| 13–11 | 0.11 | 33% | 25 Sept → | ||
| 6–13 | 0.03 | 31% | 24 Sept → | ||
| 15–15 | 0.09 | 28% | 24 Sept → | ||
| 2–13 | -0.04 | 13% | 24 Sept → | ||
| 13–7 | 0.09 | 28% | 23 Sept → | ||
| 13–8 | 0.04 | 33% | 23 Sept → | ||
| 0–13 | -0.06 | 25% | 23 Sept → | ||
| 15–15 | 0.08 | 33% | 23 Sept → | ||
| 13–10 | -0.01 | 36% | 22 Sept → | ||
| 5–13 | -0.06 | 29% | 22 Sept → | ||
| 15–19 | -0.02 | 31% | 22 Sept → | ||
| 13–8 | 0.12 | 22% | 22 Sept → | ||
| 11–13 | 0.02 | 19% | 22 Sept → | ||
| 13–5 | 0.09 | 29% | 21 Sept → | ||
| 11–13 | 0.04 | 38% | 21 Sept → | ||
| 13–8 | 0.09 | 26% | 20 Sept → | ||
| 13–5 | 0.11 | 25% | 20 Sept → | ||
| 10–13 | 0.02 | 40% | 20 Sept → | ||
| 7–13 | 0.10 | 25% | 19 Sept → | ||
| 13–11 | 0.01 | 26% | 17 Sept → | ||
| 9–13 | -0.01 | 23% | 17 Sept → | ||
| 5–13 | -0.02 | 17% | 17 Sept → |
Match data via Leetify.