Rad — CS2 Stats
ZA76561199337717370[U:1:1377451642]Steam profile ↗
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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
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 75% 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. 685ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 56% 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 2.7/10 (Learning), 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 |
|---|---|---|---|---|---|
| B | 33 | 17–16 | 52% | -0.02 | |
| C | 32 | 13–19 | 41% | -0.02 | |
| B | 13 | 7–6 | 54% | -0.01 | |
| D | 9 | 2–7 | 22% | -0.04 | |
| B | 6 | 3–3 | 50% | -0.03 | |
| — | 4 | 2–2 | 50% | -0.02 | |
| — | 3 | 2–1 | 67% | -0.03 |
Across the last 100 tracked matches.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 6 | 50% | 0.54 | 9.3 |
| Dust2 | 5 | 40% | 0.67 | 12.0 |
| Train | 3 | 33% | 0.37 | 9.3 |
| Ancient | 3 | 67% | 0.72 | 12.0 |
| Inferno | 2 | 0% | 0.36 | 7.5 |
| Overpass | 1 | 100% | 1.30 | 13.0 |
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.
- 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 14.6585% — below the 15% mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 29.485% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.02 | 13% | 14 Aug → | ||
| 8–13 | -0.00 | 17% | 4 Aug → | ||
| 9–13 | -0.05 | 17% | 4 Aug → | ||
| 7–13 | 0.02 | 18% | 2 Aug → | ||
| 13–8 | -0.03 | 11% | 1 Aug → | ||
| 13–11 | -0.06 | 17% | 27 Jul → | ||
| 12–16 | -0.04 | 13% | 24 Jul → | ||
| 10–13 | -0.01 | 8% | 18 Jul → | ||
| 8–13 | -0.06 | 21% | 17 Jul → | ||
| 7–13 | -0.01 | 21% | 16 Jul → | ||
| 13–5 | -0.08 | 7% | 16 Jul → | ||
| 10–13 | -0.02 | 5% | 15 Jul → | ||
| 5–13 | -0.05 | 14% | 15 Jul → | ||
| 13–8 | -0.01 | 14% | 14 Jul → | ||
| 13–6 | 0.02 | 24% | 14 Jul → | ||
| 13–10 | -0.01 | 14% | 14 Jul → | ||
| 2–13 | -0.06 | 8% | 13 Jul → | ||
| 2–13 | -0.10 | 16% | 13 Jul → | ||
| 2–13 | -0.09 | 8% | 12 Jul → | ||
| 13–4 | 0.07 | 23% | 11 Jul → | ||
| 13–4 | 0.09 | 12% | 11 Jul → | ||
| 7–13 | -0.00 | 10% | 11 Jul → | ||
| 13–11 | 0.01 | 19% | 11 Jul → | ||
| 16–13 | 0.03 | 14% | 11 Jul → | ||
| 10–13 | -0.04 | 9% | 10 Jul → | ||
| 13–4 | 0.07 | 16% | 10 Jul → | ||
| 14–16 | -0.01 | 9% | 10 Jul → | ||
| 13–8 | -0.10 | 0% | 10 Jul → | ||
| 13–7 | 0.00 | 23% | 10 Jul → | ||
| 10–13 | 0.04 | 29% | 10 Jul → | ||
| 13–6 | -0.05 | 12% | 10 Jul → | ||
| 13–9 | -0.01 | 9% | 10 Jul → | ||
| 6–13 | -0.05 | 13% | 9 Jul → | ||
| 2–13 | -0.07 | 20% | 9 Jul → | ||
| 16–14 | -0.03 | 16% | 9 Jul → | ||
| 13–11 | -0.00 | 15% | 9 Jul → | ||
| 14–16 | -0.04 | 16% | 9 Jul → | ||
| 9–13 | -0.04 | 7% | 9 Jul → | ||
| 9–13 | 0.00 | 5% | 9 Jul → | ||
| 13–1 | -0.00 | 8% | 9 Jul → | ||
| 13–2 | 0.04 | 14% | 8 Jul → | ||
| 13–8 | 0.16 | 20% | 8 Jul → | ||
| 13–11 | 0.09 | 39% | 6 Jul → | ||
| 13–10 | -0.01 | 31% | 5 Jul → | ||
| 9–13 | -0.04 | 17% | 2 Jul → | ||
| 7–13 | -0.05 | 7% | 26 Jun → | ||
| 13–9 | -0.02 | 0% | 25 Jun → | ||
| 13–9 | -0.02 | 19% | 24 Jun → | ||
| 13–5 | -0.06 | 9% | 24 Jun → | ||
| 13–7 | -0.08 | 5% | 24 Jun → | ||
| 1–13 | -0.07 | 17% | 23 Jun → | ||
| 13–10 | 0.01 | 10% | 23 Jun → | ||
| 13–10 | -0.03 | 16% | 23 Jun → | ||
| 13–6 | 0.02 | 7% | 22 Jun → | ||
| 2–13 | -0.12 | 0% | 22 Jun → | ||
| 5–13 | -0.04 | 0% | 22 Jun → | ||
| 7–13 | -0.05 | 17% | 22 Jun → | ||
| 13–5 | -0.05 | 17% | 21 Jun → | ||
| 11–13 | -0.04 | 20% | 20 Jun → | ||
| 11–13 | -0.03 | 13% | 20 Jun → | ||
| 8–13 | -0.06 | 15% | 19 Jun → | ||
| 13–9 | 0.02 | 26% | 19 Jun → | ||
| 7–13 | -0.11 | 13% | 18 Jun → | ||
| 9–13 | -0.03 | 7% | 18 Jun → | ||
| 16–14 | -0.02 | 17% | 16 Jun → | ||
| 6–13 | -0.06 | 13% | 16 Jun → | ||
| 4–13 | -0.04 | 18% | 16 Jun → | ||
| 13–9 | 0.00 | 21% | 16 Jun → | ||
| 6–13 | -0.01 | 12% | 15 Jun → | ||
| 3–13 | -0.03 | 13% | 15 Jun → | ||
| 8–13 | -0.05 | 21% | 8 Jun → | ||
| 6–13 | -0.02 | 13% | 8 Jun → | ||
| 13–9 | -0.01 | 17% | 7 Jun → | ||
| 4–13 | -0.05 | 20% | 6 Jun → | ||
| 15–15 | 0.01 | 15% | 6 Jun → | ||
| 6–13 | -0.04 | 4% | 6 Jun → | ||
| 2–13 | -0.05 | 0% | 4 Jun → | ||
| 13–10 | -0.01 | 12% | 3 Jun → | ||
| 1–13 | -0.03 | 8% | 3 Jun → | ||
| 3–13 | -0.03 | 18% | 2 Jun → | ||
| 13–11 | -0.03 | 11% | 2 Jun → | ||
| 13–6 | 0.07 | 19% | 2 Jun → | ||
| 1–13 | -0.08 | 0% | 1 Jun → | ||
| 12–12 | -0.02 | 7% | 1 Jun → | ||
| 13–1 | -0.01 | 14% | 31 May → | ||
| 8–13 | -0.05 | 2% | 31 May → | ||
| 12–14 | -0.04 | 13% | 30 May → | ||
| 13–9 | 0.01 | 11% | 28 May → | ||
| 13–7 | -0.06 | 4% | 25 May → | ||
| 13–6 | 0.02 | 12% | 24 May → | ||
| 4–13 | 0.03 | 16% | 14 May → | ||
| 14–16 | -0.01 | 11% | 14 May → | ||
| 7–13 | -0.00 | 13% | 14 May → | ||
| 13–6 | -0.06 | 17% | 10 May → | ||
| 7–13 | -0.03 | 10% | 10 May → | ||
| 13–3 | 0.03 | 15% | 10 May → | ||
| 13–6 | -0.00 | 11% | 5 May → | ||
| 13–10 | -0.06 | 13% | 5 May → | ||
| 6–13 | -0.07 | 7% | 30 Apr → | ||
| 13–9 | -0.03 | 15% | 30 Apr → |
Match data via Leetify.