ᴀᴘɢ || nucLEAr — CS2 Stats
76561198850478363[U:1:890212635]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +50pp 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 ropz 84% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: 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
T-side openings. Opening success drops from 55% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 563ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 65% 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 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 31 | 16–15 | 52% | -0.01 | |
| C | 18 | 8–10 | 44% | -0.01 | |
| B | 18 | 9–9 | 50% | 0.01 | |
| B | 14 | 7–7 | 50% | -0.03 | |
| D | 10 | 1–9 | 10% | -0.01 | |
| C | 7 | 3–4 | 43% | -0.01 | |
| — | 2 | 2–0 | 100% | -0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 16 | 25% | 0.83 | 10.1 |
| Mirage | 13 | 31% | 0.78 | 11.3 |
| Vertigo | 12 | 8% | 0.55 | 8.9 |
| Anubis | 10 | 10% | 0.58 | 9.4 |
| Nuke | 10 | 30% | 0.62 | 9.2 |
| Inferno | 4 | 0% | 0.42 | 8.0 |
| Overpass | 3 | 0% | 0.64 | 10.7 |
| Dust2 | 3 | 0% | 0.67 | 9.0 |
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 12.8684° — 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 9.9635% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–14 | 0.02 | 15% | 27 Aug → | ||
| 13–3 | -0.04 | 16% | 27 Aug → | ||
| 13–5 | 0.01 | 6% | 27 Aug → | ||
| 14–16 | -0.06 | 17% | 26 Aug → | ||
| 13–7 | 0.05 | 11% | 26 Aug → | ||
| 13–8 | 0.05 | 6% | 26 Aug → | ||
| 13–4 | 0.01 | 5% | 26 Aug → | ||
| 9–13 | -0.02 | 10% | 25 Aug → | ||
| 16–13 | -0.01 | 7% | 24 Aug → | ||
| 13–16 | -0.00 | 3% | 23 Aug → | ||
| 11–13 | 0.06 | 8% | 23 Aug → | ||
| 6–13 | -0.05 | 3% | 22 Aug → | ||
| 5–13 | -0.02 | 20% | 22 Aug → | ||
| 5–13 | -0.04 | 10% | 22 Aug → | ||
| 2–13 | -0.02 | 9% | 22 Aug → | ||
| 6–13 | -0.03 | 8% | 22 Aug → | ||
| 11–13 | 0.01 | 15% | 22 Aug → | ||
| 6–13 | 0.01 | 10% | 22 Aug → | ||
| 16–14 | 0.01 | 6% | 21 Aug → | ||
| 13–2 | 0.14 | 10% | 21 Aug → | ||
| 6–13 | -0.08 | 16% | 21 Aug → | ||
| 3–13 | -0.01 | 6% | 21 Aug → | ||
| 13–5 | 0.04 | 13% | 20 Aug → | ||
| 5–13 | -0.09 | 4% | 20 Aug → | ||
| 3–13 | -0.08 | 21% | 19 Aug → | ||
| 8–13 | 0.01 | 16% | 19 Aug → | ||
| 13–6 | -0.01 | 9% | 19 Aug → | ||
| 13–6 | -0.02 | 10% | 19 Aug → | ||
| 13–10 | 0.02 | 6% | 17 Aug → | ||
| 13–10 | 0.05 | 5% | 16 Aug → | ||
| 5–13 | 0.03 | 5% | 16 Aug → | ||
| 13–5 | -0.02 | 7% | 16 Aug → | ||
| 10–13 | -0.03 | 5% | 16 Aug → | ||
| 13–5 | 0.04 | 11% | 16 Aug → | ||
| 13–8 | 0.03 | 20% | 16 Aug → | ||
| 4–13 | -0.03 | 27% | 15 Aug → | ||
| 9–13 | 0.01 | 0% | 15 Aug → | ||
| 13–9 | 0.02 | 7% | 15 Aug → | ||
| 13–4 | 0.04 | 6% | 15 Aug → | ||
| 9–13 | -0.07 | 4% | 15 Aug → | ||
| 13–7 | -0.02 | 7% | 15 Aug → | ||
| 11–13 | -0.02 | 14% | 13 Aug → | ||
| 10–13 | -0.01 | 15% | 13 Aug → | ||
| 13–10 | 0.01 | 5% | 13 Aug → | ||
| 7–13 | -0.07 | 8% | 12 Aug → | ||
| 13–0 | -0.07 | 8% | 12 Aug → | ||
| 3–13 | -0.08 | 14% | 12 Aug → | ||
| 6–13 | -0.08 | 17% | 12 Aug → | ||
| 13–5 | -0.01 | 6% | 11 Aug → | ||
| 9–13 | -0.03 | 8% | 11 Aug → | ||
| 13–7 | 0.11 | 11% | 11 Aug → | ||
| 10–13 | -0.03 | 14% | 10 Aug → | ||
| 13–11 | 0.00 | 10% | 10 Aug → | ||
| 13–4 | -0.04 | 12% | 10 Aug → | ||
| 13–7 | -0.04 | 25% | 10 Aug → | ||
| 14–16 | -0.02 | 13% | 10 Aug → | ||
| 11–13 | 0.02 | 5% | 10 Aug → | ||
| 12–16 | -0.02 | 12% | 10 Aug → | ||
| 13–11 | -0.04 | 12% | 10 Aug → | ||
| 15–15 | -0.09 | 19% | 9 Aug → | ||
| 3–13 | -0.07 | 8% | 9 Aug → | ||
| 13–11 | -0.05 | 18% | 9 Aug → | ||
| 13–5 | -0.09 | 12% | 9 Aug → | ||
| 13–9 | 0.04 | 12% | 9 Aug → | ||
| 5–13 | -0.01 | 10% | 9 Aug → | ||
| 13–11 | 0.02 | 25% | 8 Aug → | ||
| 11–13 | 0.05 | 10% | 8 Aug → | ||
| 13–11 | 0.02 | 5% | 5 Aug → | ||
| 5–13 | 0.03 | 8% | 5 Aug → | ||
| 8–13 | -0.03 | 12% | 5 Aug → | ||
| 13–5 | 0.11 | 9% | 5 Aug → | ||
| 9–13 | -0.07 | 4% | 5 Aug → | ||
| 11–13 | -0.04 | 19% | 4 Aug → | ||
| 13–5 | 0.14 | 15% | 4 Aug → | ||
| 10–13 | 0.01 | 13% | 4 Aug → | ||
| 13–8 | 0.04 | 13% | 3 Aug → | ||
| 13–7 | 0.06 | 10% | 3 Aug → | ||
| 4–13 | -0.03 | 20% | 3 Aug → | ||
| 10–13 | -0.01 | 7% | 2 Aug → | ||
| 13–10 | -0.03 | 8% | 2 Aug → | ||
| 13–8 | -0.02 | 7% | 2 Aug → | ||
| 7–13 | -0.00 | 9% | 31 Jul → | ||
| 13–9 | -0.06 | 19% | 30 Jul → | ||
| 13–10 | -0.07 | 5% | 29 Jul → | ||
| 13–7 | 0.01 | 13% | 29 Jul → | ||
| 7–13 | -0.04 | 11% | 29 Jul → | ||
| 7–13 | -0.01 | 6% | 29 Jul → | ||
| 13–5 | -0.05 | 14% | 28 Jul → | ||
| 8–13 | -0.01 | 14% | 27 Jul → | ||
| 8–13 | -0.03 | 10% | 27 Jul → | ||
| 8–13 | -0.08 | 20% | 27 Jul → | ||
| 11–13 | -0.01 | 11% | 27 Jul → | ||
| 7–13 | -0.04 | 10% | 26 Jul → | ||
| 13–7 | -0.02 | 7% | 26 Jul → | ||
| 13–11 | -0.03 | 4% | 26 Jul → | ||
| 16–14 | 0.03 | 10% | 26 Jul → | ||
| 4–13 | -0.01 | 13% | 26 Jul → | ||
| 7–13 | -0.00 | 10% | 26 Jul → | ||
| 15–15 | -0.01 | 11% | 26 Jul → | ||
| 11–13 | -0.06 | 9% | 25 Jul → |
Match data via Leetify.