Ofty — CS2 Stats
76561199403151260[U:1:1442885532]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.07 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 95% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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 86 — 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. 654ms 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 6.6/10 (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 | 16 | 10–6 | 63% | 0.01 | |
| A | 14 | 9–5 | 64% | 0.02 | |
| C | 14 | 5–9 | 36% | 0.02 | |
| S | 12 | 8–4 | 67% | 0.01 | |
| D | 12 | 4–8 | 33% | -0.02 | |
| A | 11 | 6–5 | 55% | 0.04 | |
| B | 10 | 5–5 | 50% | -0.02 | |
| S | 9 | 6–3 | 67% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 60 | 42% | 0.98 | 16.1 |
| Dust2 | 55 | 53% | 1.02 | 17.2 |
| Ancient | 39 | 49% | 1.13 | 17.9 |
| Inferno | 38 | 53% | 1.15 | 17.1 |
| Anubis | 30 | 40% | 1.03 | 16.8 |
| Nuke | 19 | 47% | 0.87 | 15.1 |
| Cache | 16 | 50% | 1.26 | 19.6 |
| Overpass | 12 | 25% | 0.97 | 18.3 |
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.
- 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 0.4365 — 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.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–16 | 0.03 | 22% | 24 Aug → | ||
| 5–13 | -0.03 | 30% | 23 Aug → | ||
| 4–13 | 0.07 | 43% | 22 Aug → | ||
| 7–13 | -0.03 | 25% | 22 Aug → | ||
| 13–3 | 0.15 | 27% | 22 Aug → | ||
| 13–6 | 0.07 | 25% | 22 Aug → | ||
| 8–13 | 0.10 | 34% | 10 Aug → | ||
| 13–10 | 0.07 | 46% | 9 Aug → | ||
| 13–11 | 0.05 | 43% | 9 Aug → | ||
| 4–2 | 0.09 | 16% | 9 Aug → | ||
| 13–0 | 0.02 | 50% | 9 Aug → | ||
| 8–7 | -0.03 | 38% | 9 Aug → | ||
| 3–13 | -0.06 | 26% | 6 Aug → | ||
| 13–3 | 0.03 | 15% | 6 Aug → | ||
| 3–13 | -0.03 | 15% | 6 Aug → | ||
| 13–11 | 0.04 | 46% | 4 Aug → | ||
| 2–13 | -0.03 | 26% | 3 Aug → | ||
| 13–0 | 0.04 | 9% | 3 Aug → | ||
| 7–13 | -0.01 | 32% | 2 Aug → | ||
| 9–3 | -0.09 | 71% | 2 Aug → | ||
| 10–0 | 0.06 | 35% | 23 Jul → | ||
| 13–8 | 0.10 | 55% | 23 Jul → | ||
| 9–13 | -0.03 | 27% | 10 Jun → | ||
| 13–7 | 0.02 | 25% | 9 Jun → | ||
| 9–13 | -0.10 | 32% | 9 Jun → | ||
| 11–13 | 0.08 | 23% | 9 Jun → | ||
| 13–7 | -0.03 | 4% | 9 Jun → | ||
| 16–12 | 0.02 | 26% | 8 Jun → | ||
| 13–9 | -0.03 | 21% | 8 Jun → | ||
| 2–13 | -0.09 | 31% | 8 Jun → | ||
| 13–3 | 0.13 | 23% | 8 Jun → | ||
| 8–13 | -0.02 | 20% | 8 Jun → | ||
| 13–8 | -0.02 | 16% | 8 Jun → | ||
| 13–2 | 0.02 | 17% | 7 Jun → | ||
| 13–10 | -0.05 | 31% | 7 Jun → | ||
| 17–19 | -0.06 | 20% | 7 Jun → | ||
| 13–9 | -0.00 | 12% | 7 Jun → | ||
| 9–13 | -0.03 | 17% | 7 Jun → | ||
| 6–13 | 0.02 | 19% | 7 Jun → | ||
| 13–7 | -0.03 | 10% | 7 Jun → | ||
| 13–8 | -0.06 | 27% | 7 Jun → | ||
| 9–13 | 0.01 | 21% | 7 Jun → | ||
| 7–13 | 0.02 | 30% | 7 Jun → | ||
| 14–16 | 0.02 | 17% | 6 Jun → | ||
| 13–6 | 0.10 | 21% | 4 Jun → | ||
| 10–13 | 0.07 | 27% | 30 May → | ||
| 3–13 | -0.05 | 25% | 27 May → | ||
| 5–13 | -0.03 | 25% | 27 May → | ||
| 12–16 | 0.00 | 14% | 26 May → | ||
| 10–13 | -0.02 | 14% | 26 May → | ||
| 13–11 | 0.02 | 17% | 26 May → | ||
| 19–17 | 0.01 | 26% | 26 May → | ||
| 8–13 | -0.04 | 20% | 26 May → | ||
| 4–13 | -0.04 | 27% | 26 May → | ||
| 22–20 | -0.00 | 16% | 26 May → | ||
| 13–10 | 0.07 | 18% | 25 May → | ||
| 13–8 | -0.04 | 15% | 25 May → | ||
| 13–5 | 0.07 | 23% | 25 May → | ||
| 13–6 | 0.14 | 20% | 25 May → | ||
| 11–13 | -0.02 | 18% | 24 May → | ||
| 13–6 | 0.04 | 22% | 21 May → | ||
| 11–13 | -0.05 | 31% | 20 May → | ||
| 22–20 | 0.10 | 30% | 19 May → | ||
| 10–13 | -0.04 | 28% | 18 May → | ||
| 13–11 | 0.05 | 12% | 15 May → | ||
| 16–13 | -0.05 | 10% | 25 Apr → | ||
| 13–5 | 0.08 | 36% | 25 Apr → | ||
| 13–7 | -0.05 | 25% | 25 Apr → | ||
| 9–13 | -0.02 | 10% | 25 Apr → | ||
| 13–5 | 0.06 | 14% | 25 Apr → | ||
| 13–3 | 0.07 | 32% | 24 Apr → | ||
| 8–13 | -0.06 | 32% | 24 Apr → | ||
| 13–10 | 0.02 | 20% | 24 Apr → | ||
| 10–13 | -0.06 | 17% | 21 Apr → | ||
| 9–13 | -0.05 | 19% | 18 Mar → | ||
| 6–13 | 0.09 | 30% | 17 Mar → | ||
| 13–7 | -0.01 | 20% | 17 Mar → | ||
| 11–13 | -0.01 | 14% | 28 Feb → | ||
| 13–9 | 0.04 | 25% | 20 Feb → | ||
| 13–8 | 0.01 | 24% | 18 Jan → | ||
| 13–7 | 0.05 | 20% | 18 Jan → | ||
| 9–13 | 0.02 | 18% | 23 Apr → | ||
| 4–13 | -0.12 | 7% | 17 Aug → | ||
| 8–13 | -0.09 | 12% | 15 Aug → | ||
| 13–3 | 0.09 | 47% | 11 May → | ||
| 11–13 | 0.08 | 25% | 10 May → | ||
| 16–14 | -0.02 | 26% | 10 May → | ||
| 13–10 | 0.03 | 40% | 30 Apr → | ||
| 13–4 | 0.01 | 29% | 30 Apr → | ||
| 12–16 | -0.06 | 20% | 30 Apr → | ||
| 13–5 | 0.03 | 21% | 9 Mar → | ||
| 16–13 | 0.04 | 18% | 8 Mar → | ||
| 11–13 | 0.09 | 42% | 2 Feb → | ||
| 13–9 | 0.05 | 27% | 2 Feb → | ||
| 14–16 | 0.04 | 32% | 2 Feb → | ||
| 13–8 | 0.18 | 20% | 2 Feb → | ||
| 2–13 | -0.02 | 15% | 1 Feb → | ||
| 4–13 | -0.02 | 25% | 28 Jan → | ||
| 9–13 | -0.05 | 27% | 27 Jan → | ||
| 13–10 | -0.07 | 15% | 27 Oct → |
Match data via Leetify.