Weaponized Autism — CS2 Stats
76561198074407858[U:1:114142130]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 · -0.06 avg rating
Player DNA
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 NiKo 81% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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. 684ms 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 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 29 | 10–19 | 34% | -0.02 | |
| B | 14 | 7–7 | 50% | -0.03 | |
| D | 12 | 4–8 | 33% | -0.01 | |
| C | 10 | 4–6 | 40% | 0.00 | |
| D | 8 | 2–6 | 25% | -0.03 | |
| B | 8 | 4–4 | 50% | -0.00 | |
| B | 8 | 4–4 | 50% | -0.02 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| warden | — | 2 | 1–1 | 50% | -0.01 |
| fachwerk | — | 1 | 0–1 | 0% | -0.02 |
| — | 1 | 1–0 | 100% | 0.04 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient 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 |
|---|---|---|---|---|
| Dust2 | 5 | 40% | 0.74 | 14.2 |
| Mirage | 4 | 25% | 1.41 | 16.8 |
| Cache | 3 | 33% | 2.08 | 24.0 |
| Anubis | 2 | 100% | 1.64 | 21.5 |
| Ancient | 2 | 50% | 0.73 | 10.5 |
| Overpass | 2 | 100% | 1.08 | 15.5 |
| Inferno | 1 | 0% | 0.40 | 6.0 |
| Nuke | 1 | 0% | 0.82 | 14.0 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0794° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.6168% — below the 15% 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 0.4884 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.05 | 12% | 28 Aug → | ||
| 9–5 | -0.13 | 6% | 28 Aug → | ||
| 11–13 | -0.02 | 9% | 20 Aug → | ||
| 8–13 | -0.08 | 9% | 17 Aug → | ||
| 4–13 | -0.01 | 13% | 17 Aug → | ||
| 13–9 | -0.06 | 16% | 17 Aug → | ||
| 13–11 | -0.08 | 11% | 17 Aug → | ||
| 6–13 | -0.01 | 17% | 15 Aug → | ||
| 13–7 | -0.03 | 10% | 15 Aug → | ||
| 13–7 | -0.03 | 16% | 14 Aug → | ||
| 5–13 | -0.03 | 15% | 12 Aug → | ||
| 2–13 | -0.02 | 13% | 12 Aug → | ||
| 11–13 | 0.01 | 11% | 12 Aug → | ||
| 7–13 | 0.03 | 25% | 12 Aug → | ||
| 16–14 | 0.06 | 17% | 11 Aug → | ||
| 13–1 | 0.06 | 11% | 11 Aug → | ||
| 13–11 | 0.01 | 17% | 10 Aug → | ||
| 7–13 | -0.03 | 13% | 10 Aug → | ||
| 3–13 | -0.02 | 26% | 10 Aug → | ||
| 12–12 | -0.02 | 12% | 10 Aug → | ||
| 4–13 | -0.08 | 4% | 10 Aug → | ||
| 4–13 | -0.06 | 15% | 10 Aug → | ||
| 7–13 | -0.10 | 16% | 10 Aug → | ||
| 13–10 | -0.04 | 11% | 9 Aug → | ||
| 5–13 | 0.00 | 20% | 9 Aug → | ||
| 9–13 | -0.03 | 22% | 26 Jul → | ||
| 13–9 | 0.10 | 10% | 26 Jul → | ||
| 13–3 | 0.00 | 11% | 26 Jul → | ||
| 6–13 | 0.00 | 9% | 26 Jul → | ||
| 14–16 | 0.05 | 11% | 26 Jul → | ||
| 16–13 | 0.01 | 11% | 24 Jul → | ||
| 13–11 | -0.02 | 4% | 23 Jul → | ||
| 11–2 | 0.03 | 19% | 23 Jul → | ||
| 16–14 | 0.08 | 21% | 22 Jul → | ||
| 13–10 | 0.05 | 20% | 22 Jul → | ||
| 13–5 | -0.01 | 12% | 22 Jul → | ||
| 6–13 | -0.04 | 12% | 21 Jul → | ||
| 9–13 | -0.01 | 15% | 21 Jul → | ||
| 14–16 | -0.02 | 12% | 19 Jul → | ||
| 11–13 | 0.03 | 8% | 19 Jul → | ||
| 2–7 | -0.08 | 0% | 19 Jul → | ||
| 6–13 | -0.02 | 17% | 19 Jul → | ||
| 12–12 | 0.08 | 13% | 19 Jul → | ||
| 4–13 | -0.01 | 21% | 18 Jul → | ||
| 10–13 | -0.04 | 10% | 17 Jul → | ||
| 9–13 | -0.09 | 7% | 17 Jul → | ||
| 8–13 | -0.05 | 6% | 17 Jul → | ||
| 6–13 | -0.02 | 12% | 16 Jul → | ||
| 11–13 | -0.01 | 13% | 15 Jul → | ||
| 10–13 | -0.07 | 0% | 15 Jul → | ||
| fachwerk | 12–12 | -0.02 | 9% | 9 Jul → | |
| 13–5 | 0.01 | 20% | 9 Jul → | ||
| 13–5 | -0.06 | 5% | 8 Jul → | ||
| 13–7 | 0.03 | 10% | 8 Jul → | ||
| 13–7 | 0.02 | 13% | 8 Jul → | ||
| 10–13 | -0.02 | 10% | 8 Jul → | ||
| 13–16 | -0.05 | 9% | 6 Jul → | ||
| 13–10 | -0.02 | 17% | 6 Jul → | ||
| 13–5 | 0.04 | 19% | 6 Jul → | ||
| warden | 12–12 | -0.01 | 18% | 6 Jul → | |
| 4–13 | -0.04 | 7% | 6 Jul → | ||
| 13–4 | -0.01 | 16% | 4 Jul → | ||
| 1–13 | -0.09 | 5% | 4 Jul → | ||
| 11–13 | -0.03 | 8% | 3 Jul → | ||
| 5–13 | -0.01 | 18% | 3 Jul → | ||
| 0–3 | -0.01 | 20% | 3 Jul → | ||
| 7–13 | -0.03 | 13% | 3 Jul → | ||
| 13–7 | 0.04 | 15% | 2 Jul → | ||
| 13–9 | 0.04 | 10% | 2 Jul → | ||
| 6–13 | -0.05 | 0% | 1 Jul → | ||
| 13–16 | -0.03 | 16% | 1 Jul → | ||
| 5–13 | -0.06 | 33% | 30 Jun → | ||
| 13–3 | 0.05 | 13% | 30 Jun → | ||
| 13–9 | -0.07 | 11% | 29 Jun → | ||
| 7–13 | 0.03 | 17% | 28 Jun → | ||
| 8–13 | -0.09 | 8% | 28 Jun → | ||
| 10–13 | -0.03 | 20% | 28 Jun → | ||
| 10–13 | 0.03 | 19% | 28 Jun → | ||
| 16–14 | -0.06 | 17% | 27 Jun → | ||
| 13–4 | 0.03 | 13% | 27 Jun → | ||
| 13–5 | -0.04 | 15% | 27 Jun → | ||
| 16–13 | 0.03 | 21% | 27 Jun → | ||
| 5–13 | 0.02 | 29% | 26 Jun → | ||
| 13–8 | -0.01 | 26% | 26 Jun → | ||
| 5–2 | 0.10 | 21% | 26 Jun → | ||
| 8–13 | -0.02 | 9% | 26 Jun → | ||
| warden | 13–8 | -0.01 | 18% | 25 Jun → | |
| 13–5 | 0.03 | 11% | 25 Jun → | ||
| 7–13 | -0.04 | 14% | 25 Jun → | ||
| 13–4 | -0.04 | 50% | 25 Jun → | ||
| 13–6 | 0.00 | 5% | 24 Jun → | ||
| 6–13 | -0.06 | 10% | 23 Jun → | ||
| 4–12 | -0.06 | 11% | 23 Jun → | ||
| 5–13 | -0.08 | 20% | 22 Jun → | ||
| 12–12 | 0.04 | 3% | 22 Jun → | ||
| 13–7 | -0.02 | 10% | 21 Jun → | ||
| 13–3 | -0.04 | 0% | 21 Jun → | ||
| 8–13 | -0.03 | 18% | 21 Jun → | ||
| 11–13 | 0.11 | 16% | 21 Jun → | ||
| 7–13 | 0.02 | 29% | 21 Jun → |
Match data via Leetify.