Stafe — CS2 Stats
76561198201122969[U:1:240857241]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.03 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 90% playstyle similarity
Most alike: utility contribution, positioning profile.
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
Strengths
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Reaction time. 606ms 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 (×1.02 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 |
|---|---|---|---|---|---|
| S | 23 | 15–8 | 65% | 0.01 | |
| C | 23 | 10–13 | 43% | 0.01 | |
| C | 18 | 8–10 | 44% | 0.01 | |
| A | 14 | 8–6 | 57% | -0.00 | |
| S | 9 | 6–3 | 67% | 0.02 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| — | 3 | 2–1 | 67% | -0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (43% over 23). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 81 | 56% | 1.31 | 17.1 |
| Anubis | 60 | 52% | 1.19 | 16.8 |
| Ancient | 39 | 62% | 1.39 | 17.5 |
| Vertigo | 30 | 43% | 1.14 | 17.5 |
| Inferno | 25 | 48% | 0.93 | 12.6 |
| Nuke | 20 | 50% | 0.99 | 16.1 |
| Dust2 | 13 | 15% | 0.99 | 15.8 |
| Overpass | 7 | 29% | 0.94 | 12.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
43% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.00 | 15% | 21 Aug → | ||
| 7–13 | 0.03 | 9% | 20 Aug → | ||
| 13–9 | 0.03 | 13% | 20 Aug → | ||
| 13–9 | -0.08 | 11% | 19 Aug → | ||
| 9–13 | -0.02 | 21% | 19 Aug → | ||
| 14–16 | 0.01 | 16% | 19 Aug → | ||
| 13–7 | 0.00 | 16% | 19 Aug → | ||
| 11–13 | -0.07 | 17% | 18 Aug → | ||
| 13–11 | 0.04 | 13% | 18 Aug → | ||
| 9–13 | -0.04 | 9% | 18 Aug → | ||
| 12–2 | -0.01 | 24% | 18 Aug → | ||
| 13–5 | 0.06 | 16% | 7 Aug → | ||
| 6–5 | 0.03 | 26% | 7 Aug → | ||
| 13–5 | 0.05 | 20% | 7 Aug → | ||
| 13–6 | 0.07 | 21% | 6 Aug → | ||
| 13–9 | 0.07 | 16% | 6 Aug → | ||
| 8–13 | -0.09 | 33% | 6 Aug → | ||
| 8–13 | 0.01 | 17% | 5 Aug → | ||
| 13–9 | 0.03 | 26% | 5 Aug → | ||
| 13–11 | -0.01 | 16% | 5 Aug → | ||
| 5–13 | -0.05 | 19% | 4 Aug → | ||
| 13–8 | 0.06 | 11% | 2 Aug → | ||
| 13–6 | 0.11 | 13% | 2 Aug → | ||
| 3–9 | -0.03 | 21% | 2 Aug → | ||
| 13–8 | 0.02 | 8% | 1 Aug → | ||
| 13–6 | 0.06 | 24% | 31 Jul → | ||
| 10–13 | -0.05 | 15% | 30 Jul → | ||
| 6–13 | 0.03 | 14% | 24 Jun → | ||
| 2–13 | -0.06 | 14% | 24 Jun → | ||
| 16–12 | 0.03 | 25% | 19 Jun → | ||
| 13–11 | -0.06 | 14% | 14 Jun → | ||
| 8–13 | -0.07 | 14% | 14 Jun → | ||
| 13–10 | 0.11 | 7% | 14 Jun → | ||
| 3–13 | -0.03 | 12% | 14 Jun → | ||
| 0–11 | 0.01 | 0% | 14 Jun → | ||
| 16–13 | 0.00 | 20% | 14 Jun → | ||
| 13–9 | 0.06 | 10% | 14 Jun → | ||
| 12–12 | 0.02 | 26% | 14 Jun → | ||
| 12–16 | 0.00 | 19% | 14 Jun → | ||
| 13–4 | 0.09 | 18% | 13 Jun → | ||
| 4–13 | -0.03 | 23% | 13 Jun → | ||
| 13–16 | 0.04 | 14% | 13 Jun → | ||
| 6–13 | -0.07 | 8% | 10 Jun → | ||
| 9–13 | -0.06 | 7% | 10 Jun → | ||
| 13–8 | -0.04 | 9% | 9 Jun → | ||
| 13–4 | 0.00 | 14% | 9 Jun → | ||
| 13–11 | 0.02 | 19% | 11 Apr → | ||
| 13–6 | 0.04 | 7% | 25 Mar → | ||
| 10–13 | -0.02 | 16% | 16 Mar → | ||
| 15–15 | 0.00 | 16% | 16 Mar → | ||
| 14–16 | 0.01 | 11% | 16 Mar → | ||
| 13–16 | 0.03 | 8% | 15 Mar → | ||
| 11–13 | 0.01 | 19% | 15 Mar → | ||
| 11–13 | 0.02 | 11% | 15 Mar → | ||
| 1–7 | -0.01 | 24% | 15 Mar → | ||
| 13–10 | -0.05 | 12% | 15 Mar → | ||
| 10–13 | 0.01 | 15% | 14 Mar → | ||
| 13–9 | 0.01 | 9% | 14 Mar → | ||
| 16–14 | 0.02 | 19% | 14 Mar → | ||
| 13–8 | 0.03 | 19% | 14 Mar → | ||
| 13–9 | 0.03 | 16% | 14 Mar → | ||
| 8–13 | 0.07 | 16% | 14 Mar → | ||
| 13–9 | 0.08 | 12% | 14 Mar → | ||
| 7–13 | -0.01 | 9% | 14 Mar → | ||
| 13–5 | 0.02 | 9% | 14 Mar → | ||
| 13–9 | 0.02 | 13% | 13 Mar → | ||
| 13–10 | 0.02 | 17% | 13 Mar → | ||
| 11–13 | -0.02 | 8% | 13 Mar → | ||
| 13–11 | 0.04 | 27% | 13 Mar → | ||
| 4–13 | 0.03 | 28% | 13 Mar → | ||
| 4–13 | -0.06 | 8% | 13 Mar → | ||
| 11–13 | -0.02 | 15% | 13 Mar → | ||
| 8–13 | -0.03 | 7% | 12 Mar → | ||
| 2–13 | -0.03 | 22% | 11 Mar → | ||
| 5–13 | 0.07 | 21% | 11 Mar → | ||
| 8–13 | -0.00 | 18% | 11 Mar → | ||
| 13–10 | 0.00 | 19% | 11 Mar → | ||
| 13–3 | 0.15 | 15% | 9 Mar → | ||
| 13–10 | -0.02 | 14% | 9 Mar → | ||
| 13–5 | 0.02 | 10% | 9 Mar → | ||
| 13–9 | 0.02 | 16% | 9 Mar → | ||
| 13–5 | 0.03 | 12% | 7 Mar → | ||
| 16–14 | 0.06 | 18% | 3 Mar → | ||
| 13–16 | -0.02 | 17% | 3 Mar → | ||
| 13–6 | 0.01 | 18% | 3 Mar → | ||
| 13–9 | 0.02 | 8% | 3 Mar → | ||
| 6–13 | -0.05 | 20% | 3 Mar → | ||
| 13–2 | -0.02 | 11% | 3 Mar → | ||
| 11–13 | -0.07 | 16% | 2 Mar → | ||
| 13–9 | -0.03 | 42% | 2 Mar → | ||
| 13–7 | 0.00 | 15% | 2 Mar → | ||
| 13–11 | 0.01 | 22% | 2 Mar → | ||
| 13–7 | 0.10 | 18% | 2 Mar → | ||
| 13–3 | 0.02 | 17% | 2 Mar → | ||
| 13–7 | 0.03 | 15% | 2 Mar → | ||
| 9–13 | -0.03 | 16% | 2 Mar → | ||
| 13–10 | 0.03 | 25% | 2 Mar → | ||
| 13–11 | 0.02 | 12% | 2 Mar → | ||
| 13–11 | -0.05 | 12% | 1 Mar → | ||
| 11–13 | -0.07 | 12% | 1 Mar → |
Match data via Leetify.