destroy — CS2 Stats
76561199027012247[U:1:1066746519]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 91% playstyle similarity
Most alike: opening-duel success, 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 50% on CT to 26% 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 6.1/10 (Solid), 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 | 42 | 25–17 | 60% | 0.02 | |
| B | 15 | 8–7 | 53% | 0.02 | |
| S | 10 | 8–2 | 80% | 0.04 | |
| D | 9 | 2–7 | 22% | 0.01 | |
| C | 7 | 3–4 | 43% | -0.00 | |
| C | 7 | 3–4 | 43% | 0.04 | |
| B | 6 | 3–3 | 50% | 0.05 | |
| office | — | 3 | 2–1 | 67% | 0.08 |
| debris | — | 1 | 1–0 | 100% | -0.11 |
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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 283 | 50% | 1.02 | 14.5 |
| Dust2 | 202 | 51% | 1.03 | 15.3 |
| Ancient | 120 | 51% | 1.05 | 14.6 |
| Anubis | 90 | 52% | 0.97 | 15.3 |
| Nuke | 76 | 59% | 1.11 | 15.3 |
| Inferno | 52 | 38% | 1.02 | 15.4 |
| Overpass | 26 | 35% | 0.92 | 13.6 |
| Train | 17 | 41% | 0.90 | 15.2 |
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 12.2091° — above the 12° 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 0.4697 — 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.
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 | |
|---|---|---|---|---|---|
| 20–22 | -0.03 | 20% | 28 Aug → | ||
| 13–6 | -0.03 | 15% | 27 Aug → | ||
| office | 13–7 | 0.04 | 27% | 27 Aug → | |
| 2–13 | -0.02 | 25% | 27 Aug → | ||
| 8–13 | -0.00 | 15% | 26 Aug → | ||
| 13–5 | -0.01 | 8% | 26 Aug → | ||
| 13–8 | 0.04 | 15% | 26 Aug → | ||
| 13–8 | 0.10 | 22% | 26 Aug → | ||
| 13–9 | 0.01 | 8% | 26 Aug → | ||
| 1–4 | 0.03 | 29% | 26 Aug → | ||
| 6–13 | 0.03 | 38% | 25 Aug → | ||
| 6–13 | 0.01 | 6% | 24 Aug → | ||
| 9–13 | -0.01 | 20% | 23 Aug → | ||
| 9–13 | 0.04 | 23% | 23 Aug → | ||
| 13–9 | -0.02 | 13% | 23 Aug → | ||
| office | 13–11 | 0.15 | 18% | 23 Aug → | |
| 13–11 | -0.02 | 15% | 22 Aug → | ||
| 13–10 | 0.01 | 11% | 22 Aug → | ||
| 13–8 | -0.04 | 12% | 22 Aug → | ||
| 13–10 | -0.03 | 7% | 22 Aug → | ||
| 13–11 | 0.01 | 29% | 22 Aug → | ||
| 11–13 | 0.03 | 8% | 21 Aug → | ||
| 13–7 | 0.02 | 28% | 20 Aug → | ||
| 10–13 | -0.00 | 23% | 20 Aug → | ||
| 9–13 | 0.05 | 15% | 17 Aug → | ||
| 13–6 | 0.02 | 21% | 16 Aug → | ||
| 8–13 | -0.03 | 14% | 15 Aug → | ||
| 16–12 | -0.04 | 14% | 15 Aug → | ||
| 7–13 | 0.00 | 20% | 15 Aug → | ||
| 13–10 | -0.00 | 10% | 15 Aug → | ||
| 9–13 | 0.01 | 25% | 14 Aug → | ||
| 13–10 | 0.05 | 20% | 14 Aug → | ||
| 14–16 | 0.03 | 20% | 14 Aug → | ||
| 13–5 | 0.01 | 15% | 13 Aug → | ||
| 13–5 | 0.07 | 17% | 13 Aug → | ||
| 12–16 | 0.04 | 15% | 12 Aug → | ||
| 8–13 | 0.07 | 21% | 12 Aug → | ||
| debris | 9–7 | -0.11 | 12% | 10 Aug → | |
| 13–11 | 0.11 | 25% | 10 Aug → | ||
| 10–13 | 0.00 | 28% | 9 Aug → | ||
| 13–3 | 0.08 | 28% | 9 Aug → | ||
| 3–13 | 0.01 | 25% | 9 Aug → | ||
| 13–9 | 0.17 | 18% | 9 Aug → | ||
| 5–8 | -0.05 | 44% | 9 Aug → | ||
| 7–13 | 0.11 | 17% | 8 Aug → | ||
| office | 12–12 | 0.04 | 25% | 8 Aug → | |
| 13–5 | 0.01 | 18% | 7 Aug → | ||
| 13–0 | 0.15 | 16% | 7 Aug → | ||
| 13–6 | 0.04 | 19% | 7 Aug → | ||
| 13–6 | 0.16 | 21% | 7 Aug → | ||
| 13–0 | 0.10 | 12% | 6 Aug → | ||
| 12–12 | 0.01 | 22% | 6 Aug → | ||
| 13–8 | 0.03 | 20% | 6 Aug → | ||
| 13–4 | 0.00 | 18% | 4 Aug → | ||
| 16–12 | 0.04 | 19% | 3 Aug → | ||
| 11–13 | -0.02 | 14% | 3 Aug → | ||
| 13–11 | 0.05 | 22% | 2 Aug → | ||
| 2–13 | -0.05 | 24% | 2 Aug → | ||
| 13–11 | 0.08 | 16% | 1 Aug → | ||
| 7–13 | -0.02 | 39% | 1 Aug → | ||
| 13–7 | 0.04 | 18% | 31 Jul → | ||
| 13–10 | 0.10 | 15% | 31 Jul → | ||
| 5–13 | 0.03 | 9% | 31 Jul → | ||
| 13–6 | 0.05 | 21% | 30 Jul → | ||
| 13–11 | 0.03 | 16% | 30 Jul → | ||
| 10–13 | -0.02 | 15% | 29 Jul → | ||
| 13–4 | 0.07 | 11% | 26 Jul → | ||
| 8–13 | -0.04 | 21% | 26 Jul → | ||
| 5–13 | 0.01 | 21% | 26 Jul → | ||
| 13–16 | 0.01 | 8% | 25 Jul → | ||
| 13–9 | -0.07 | 22% | 25 Jul → | ||
| 13–7 | 0.01 | 10% | 25 Jul → | ||
| 13–10 | 0.07 | 13% | 25 Jul → | ||
| 13–6 | 0.02 | 16% | 25 Jul → | ||
| 8–13 | 0.07 | 9% | 25 Jul → | ||
| 13–10 | 0.05 | 18% | 20 Jul → | ||
| 13–11 | 0.06 | 4% | 20 Jul → | ||
| 13–7 | 0.09 | 14% | 12 Jul → | ||
| 13–9 | 0.08 | 11% | 9 Jul → | ||
| 3–13 | -0.04 | 20% | 7 Jul → | ||
| 7–13 | -0.07 | 8% | 22 Jun → | ||
| 11–13 | -0.04 | 16% | 21 Jun → | ||
| 6–13 | 0.02 | 13% | 21 Jun → | ||
| 8–13 | -0.02 | 38% | 5 Jun → | ||
| 5–13 | -0.05 | 20% | 3 Jun → | ||
| 6–13 | -0.05 | 23% | 31 May → | ||
| 13–3 | 0.17 | 22% | 31 May → | ||
| 16–14 | -0.00 | 18% | 30 May → | ||
| 13–7 | -0.02 | 16% | 27 May → | ||
| 13–8 | 0.03 | 24% | 26 May → | ||
| 13–8 | 0.09 | 19% | 25 May → | ||
| 13–2 | 0.01 | 21% | 25 May → | ||
| 4–9 | -0.13 | 31% | 24 May → | ||
| 6–13 | -0.02 | 23% | 24 May → | ||
| 9–13 | 0.09 | 24% | 23 May → | ||
| 13–5 | 0.05 | 15% | 21 May → | ||
| 13–6 | 0.11 | 11% | 20 May → | ||
| 11–13 | 0.03 | 27% | 17 May → | ||
| 1–13 | 0.02 | 19% | 17 May → | ||
| 10–13 | -0.03 | 18% | 12 May → |
Match data via Leetify.