poof — CS2 Stats
US76561199507768340[U:1:1547502612]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafing
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 91% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: higher opening-fight frequency; 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 6.7/10 (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 |
|---|---|---|---|---|---|
| C | 21 | 8–13 | 38% | -0.01 | |
| B | 19 | 9–10 | 47% | -0.01 | |
| B | 18 | 9–9 | 50% | -0.02 | |
| B | 17 | 8–9 | 47% | 0.00 | |
| A | 10 | 6–4 | 60% | 0.01 | |
| S | 6 | 4–2 | 67% | -0.00 | |
| C | 5 | 2–3 | 40% | -0.00 | |
| office | — | 2 | 2–0 | 100% | 0.01 |
| brewery | — | 1 | 0–1 | 0% | -0.18 |
| — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 30 | 67% | 1.24 | 17.7 |
| Dust2 | 12 | 58% | 1.12 | 16.6 |
| Vertigo | 11 | 45% | 1.12 | 16.9 |
| Anubis | 7 | 43% | 1.10 | 16.9 |
| Ancient | 5 | 40% | 0.93 | 16.2 |
| Inferno | 5 | 80% | 0.87 | 15.6 |
| Nuke | 3 | 67% | 0.81 | 14.3 |
| Train | 1 | 0% | 1.32 | 29.0 |
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.
- 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 0.4161 — 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.
38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–11 | -0.12 | 100% | 25 May → | ||
| 8–13 | -0.03 | 24% | 10 Mar → | ||
| 15–15 | 0.01 | 16% | 27 Feb → | ||
| 13–11 | 0.08 | 23% | 27 Feb → | ||
| 9–3 | 0.16 | 36% | 27 Feb → | ||
| 13–6 | -0.02 | 16% | 25 Feb → | ||
| 13–9 | -0.01 | 29% | 25 Feb → | ||
| 13–10 | 0.05 | 19% | 24 Feb → | ||
| 13–3 | -0.01 | 19% | 24 Feb → | ||
| 13–5 | -0.01 | 20% | 24 Feb → | ||
| 11–13 | 0.00 | 14% | 24 Feb → | ||
| 10–13 | -0.03 | 18% | 24 Feb → | ||
| 13–7 | -0.05 | 24% | 24 Feb → | ||
| 13–6 | 0.06 | 43% | 24 Feb → | ||
| 13–10 | -0.02 | 23% | 23 Feb → | ||
| 13–9 | 0.01 | 19% | 22 Feb → | ||
| 14–16 | -0.05 | 14% | 22 Feb → | ||
| 6–13 | -0.02 | 11% | 15 Feb → | ||
| 16–14 | -0.02 | 20% | 13 Feb → | ||
| 13–7 | 0.01 | 30% | 13 Feb → | ||
| 1–13 | -0.01 | 24% | 13 Feb → | ||
| 7–13 | -0.06 | 22% | 12 Feb → | ||
| 13–3 | 0.10 | 18% | 12 Feb → | ||
| 13–6 | 0.00 | 23% | 12 Feb → | ||
| 11–13 | -0.00 | 15% | 12 Feb → | ||
| 13–10 | -0.00 | 32% | 12 Feb → | ||
| 11–13 | -0.07 | 19% | 12 Feb → | ||
| 11–13 | -0.03 | 8% | 11 Feb → | ||
| 11–13 | -0.05 | 9% | 11 Feb → | ||
| 15–15 | 0.02 | 29% | 10 Feb → | ||
| 13–10 | -0.00 | 44% | 10 Feb → | ||
| 13–10 | -0.03 | 30% | 8 Feb → | ||
| 8–13 | -0.00 | 14% | 7 Feb → | ||
| 8–13 | -0.06 | 31% | 5 Feb → | ||
| 9–13 | 0.04 | 22% | 2 Feb → | ||
| 10–13 | 0.01 | 28% | 2 Feb → | ||
| 13–6 | 0.07 | 39% | 1 Feb → | ||
| 7–13 | -0.06 | 32% | 31 Jan → | ||
| 13–3 | 0.01 | 23% | 31 Jan → | ||
| 13–11 | 0.04 | 28% | 30 Jan → | ||
| 6–2 | -0.02 | 55% | 30 Jan → | ||
| 13–16 | -0.03 | 32% | 27 Jan → | ||
| 13–10 | 0.02 | 20% | 27 Jan → | ||
| 13–9 | -0.04 | 20% | 27 Jan → | ||
| 5–13 | 0.05 | 24% | 27 Jan → | ||
| 13–8 | -0.02 | 28% | 23 Jan → | ||
| 10–13 | 0.02 | 30% | 23 Jan → | ||
| 13–9 | 0.03 | 35% | 23 Jan → | ||
| 3–13 | -0.01 | 25% | 23 Jan → | ||
| 16–13 | -0.01 | 22% | 22 Jan → | ||
| 13–7 | 0.03 | 24% | 22 Jan → | ||
| 2–13 | -0.03 | 23% | 20 Jan → | ||
| 11–13 | 0.02 | 30% | 17 Jan → | ||
| 11–13 | -0.03 | 38% | 17 Jan → | ||
| 15–15 | -0.01 | 23% | 17 Jan → | ||
| 11–13 | -0.07 | 6% | 11 Sept → | ||
| 9–13 | -0.05 | 24% | 9 Aug → | ||
| 13–11 | -0.02 | 44% | 9 Aug → | ||
| 8–13 | -0.01 | 13% | 9 Aug → | ||
| 3–13 | -0.05 | 43% | 3 Aug → | ||
| 6–9 | -0.03 | 23% | 3 Aug → | ||
| brewery | 5–9 | -0.18 | 36% | 3 Aug → | |
| 5–13 | -0.00 | 46% | 3 Aug → | ||
| 16–12 | -0.01 | 25% | 3 Aug → | ||
| 9–4 | 0.01 | 17% | 3 Aug → | ||
| 7–13 | -0.01 | 12% | 3 Aug → | ||
| 8–13 | -0.03 | 50% | 2 Aug → | ||
| 13–9 | 0.01 | 24% | 30 Jul → | ||
| 13–6 | -0.06 | 33% | 30 Jul → | ||
| 9–13 | -0.02 | 29% | 29 Jul → | ||
| 8–8 | 0.07 | 23% | 26 Jul → | ||
| 13–9 | -0.01 | 14% | 24 Jul → | ||
| 6–13 | -0.05 | 29% | 23 Jul → | ||
| 5–13 | -0.01 | 27% | 23 Jul → | ||
| office | 13–11 | 0.02 | 50% | 23 Jul → | |
| 9–13 | -0.01 | 36% | 23 Jul → | ||
| 16–14 | -0.03 | 13% | 23 Jul → | ||
| 9–13 | -0.02 | 42% | 23 Jul → | ||
| office | 13–0 | 0.01 | 21% | 22 Jul → | |
| 13–11 | 0.02 | 23% | 22 Jul → | ||
| 11–13 | 0.01 | 20% | 22 Jul → | ||
| 13–7 | -0.03 | 38% | 22 Jul → | ||
| 15–15 | -0.02 | 17% | 22 Jul → | ||
| 9–13 | -0.06 | 6% | 22 Jul → | ||
| 13–5 | 0.02 | 30% | 22 Jul → | ||
| 12–12 | 0.08 | 27% | 22 Jul → | ||
| 13–10 | 0.01 | 25% | 21 Jul → | ||
| 6–13 | 0.03 | 36% | 21 Jul → | ||
| 6–13 | 0.01 | 36% | 21 Jul → | ||
| 16–14 | -0.02 | 31% | 21 Jul → | ||
| 13–9 | 0.11 | 31% | 21 Jul → | ||
| 13–7 | -0.10 | 13% | 17 Jul → | ||
| 13–5 | 0.01 | 20% | 17 Jul → | ||
| 13–8 | -0.06 | 38% | 16 Jul → | ||
| 10–13 | -0.01 | 14% | 16 Jul → | ||
| 10–13 | -0.06 | 15% | 16 Jul → | ||
| 9–7 | -0.04 | 45% | 14 Jul → | ||
| 10–13 | -0.02 | 50% | 14 Jul → | ||
| 2–8 | -0.02 | 11% | 19 Apr → | ||
| 13–9 | 0.01 | 33% | 19 Apr → |
Match data via Leetify.