end[R] — CS2 Stats
76561198172458793[U:1:212193065]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -60pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 device 95% playstyle similarity
Most alike: opening-fight frequency, 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
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.8° off target when enemies appear — placement, not flicking, is the bigger win available.
Reaction time. 553ms 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 7.2/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 22 | 10–12 | 45% | 0.02 | |
| S | 21 | 14–7 | 67% | 0.03 | |
| B | 14 | 7–7 | 50% | 0.02 | |
| A | 13 | 8–5 | 62% | 0.02 | |
| S | 12 | 9–3 | 75% | 0.02 | |
| A | 10 | 6–4 | 60% | 0.00 | |
| — | 4 | 3–1 | 75% | 0.06 | |
| — | 4 | 3–1 | 75% | 0.02 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (45% over 22). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 139 | 54% | 1.31 | 18.4 |
| Ancient | 100 | 54% | 1.17 | 17.6 |
| Anubis | 85 | 60% | 1.34 | 18.5 |
| Inferno | 37 | 57% | 1.15 | 16.4 |
| Dust2 | 35 | 31% | 1.12 | 18.4 |
| Nuke | 31 | 42% | 1.35 | 17.4 |
| Overpass | 18 | 44% | 1.07 | 15.0 |
| Vertigo | 15 | 40% | 1.06 | 16.7 |
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.
45% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–16 | 0.01 | 16% | 25 Aug → | ||
| 4–5 | 0.02 | 60% | 23 Aug → | ||
| 13–8 | 0.01 | 39% | 17 Aug → | ||
| 13–11 | 0.01 | 25% | 10 Aug → | ||
| 10–13 | -0.02 | 37% | 9 Aug → | ||
| 1–5 | -0.10 | 20% | 5 Aug → | ||
| 12–16 | -0.04 | 26% | 31 Jul → | ||
| 11–13 | 0.06 | 34% | 29 Jul → | ||
| 8–13 | 0.01 | 27% | 29 Jul → | ||
| 3–9 | -0.00 | 35% | 29 Jul → | ||
| 4–13 | -0.05 | 5% | 29 Jul → | ||
| 13–4 | -0.04 | 25% | 29 Jul → | ||
| 13–8 | 0.06 | 29% | 28 Jul → | ||
| 13–10 | 0.04 | 21% | 28 Jul → | ||
| 16–14 | 0.06 | 33% | 19 Jul → | ||
| 13–11 | 0.02 | 20% | 18 Jul → | ||
| 13–1 | 0.08 | 24% | 18 Jul → | ||
| 13–6 | 0.03 | 25% | 14 Jul → | ||
| 10–13 | -0.03 | 40% | 7 Jul → | ||
| 13–7 | 0.02 | 24% | 7 Jul → | ||
| 13–9 | 0.06 | 33% | 5 Jul → | ||
| 13–9 | 0.02 | 27% | 5 Jul → | ||
| 13–4 | 0.04 | 40% | 4 Jul → | ||
| 13–4 | 0.01 | 28% | 4 Jul → | ||
| 13–2 | 0.11 | 44% | 4 Jul → | ||
| 13–0 | 0.09 | 18% | 2 Jul → | ||
| 13–8 | -0.02 | 20% | 27 Jun → | ||
| 12–16 | -0.00 | 33% | 10 Jun → | ||
| 13–8 | 0.06 | 26% | 10 Jun → | ||
| 15–15 | 0.06 | 34% | 7 Jun → | ||
| 13–10 | -0.02 | 17% | 7 Jun → | ||
| 2–13 | -0.03 | 47% | 7 Jun → | ||
| 8–0 | 0.17 | 17% | 7 Jun → | ||
| 13–2 | 0.04 | 26% | 7 Jun → | ||
| 7–13 | 0.00 | 23% | 2 Jun → | ||
| 4–13 | 0.00 | 14% | 27 May → | ||
| 13–8 | 0.05 | 32% | 26 May → | ||
| 7–13 | 0.02 | 33% | 26 May → | ||
| 13–8 | 0.07 | 15% | 25 May → | ||
| 13–11 | 0.05 | 28% | 25 May → | ||
| 13–6 | 0.03 | 28% | 17 May → | ||
| 8–13 | 0.03 | 44% | 17 May → | ||
| 11–13 | -0.03 | 42% | 2 May → | ||
| 13–2 | 0.07 | 24% | 29 Apr → | ||
| 7–2 | 0.02 | 37% | 13 Apr → | ||
| 13–4 | 0.06 | 50% | 12 Apr → | ||
| 4–13 | 0.09 | 67% | 12 Apr → | ||
| 13–3 | 0.02 | 13% | 12 Apr → | ||
| 13–10 | 0.02 | 17% | 12 Apr → | ||
| 13–7 | 0.02 | 30% | 1 Apr → | ||
| 8–13 | 0.01 | 38% | 31 Mar → | ||
| 13–10 | -0.01 | 12% | 31 Mar → | ||
| 13–8 | -0.04 | 20% | 31 Mar → | ||
| 11–13 | -0.00 | 29% | 18 Mar → | ||
| 13–0 | 0.01 | 14% | 12 Mar → | ||
| 13–5 | 0.05 | 36% | 12 Mar → | ||
| 13–11 | 0.11 | 29% | 7 Mar → | ||
| 13–6 | 0.02 | 36% | 7 Mar → | ||
| 1–1 | -0.08 | 0% | 5 Mar → | ||
| 8–13 | 0.00 | 29% | 5 Mar → | ||
| 3–13 | -0.04 | 17% | 3 Mar → | ||
| 9–13 | -0.02 | 31% | 3 Mar → | ||
| 13–7 | 0.01 | 18% | 1 Mar → | ||
| 13–8 | 0.02 | 16% | 26 Feb → | ||
| 7–13 | -0.03 | 29% | 25 Feb → | ||
| 13–7 | 0.01 | 22% | 17 Feb → | ||
| 14–16 | 0.01 | 24% | 8 Feb → | ||
| 4–13 | 0.02 | 24% | 7 Feb → | ||
| 13–10 | 0.01 | 17% | 7 Feb → | ||
| 13–11 | 0.07 | 37% | 6 Feb → | ||
| 13–9 | 0.03 | 24% | 4 Feb → | ||
| 9–13 | -0.00 | 44% | 3 Feb → | ||
| 13–9 | 0.10 | 27% | 2 Feb → | ||
| 13–5 | 0.03 | 19% | 2 Feb → | ||
| 13–4 | 0.07 | 29% | 1 Feb → | ||
| 13–11 | 0.01 | 15% | 30 Jan → | ||
| 15–15 | -0.01 | 23% | 29 Jan → | ||
| 13–7 | 0.06 | 35% | 29 Jan → | ||
| 11–13 | 0.05 | 23% | 28 Jan → | ||
| 11–13 | -0.04 | 33% | 27 Jan → | ||
| 14–16 | 0.03 | 20% | 26 Jan → | ||
| 13–16 | -0.01 | 18% | 26 Jan → | ||
| 13–8 | 0.06 | 24% | 26 Jan → | ||
| 10–13 | 0.04 | 27% | 24 Jan → | ||
| 4–13 | 0.08 | 24% | 24 Jan → | ||
| 4–13 | 0.01 | 20% | 24 Jan → | ||
| 1–4 | -0.01 | 20% | 24 Jan → | ||
| 16–13 | 0.01 | 23% | 24 Jan → | ||
| 13–9 | 0.05 | 23% | 23 Jan → | ||
| 13–6 | 0.02 | 32% | 23 Jan → | ||
| 13–5 | 0.05 | 30% | 23 Jan → | ||
| 13–2 | 0.02 | 17% | 23 Jan → | ||
| 16–12 | 0.02 | 25% | 23 Jan → | ||
| 13–4 | -0.02 | 39% | 23 Jan → | ||
| 7–13 | -0.04 | 28% | 22 Jan → | ||
| 13–6 | 0.11 | 54% | 22 Jan → | ||
| 13–6 | 0.05 | 26% | 22 Jan → | ||
| 13–16 | -0.03 | 26% | 20 Jan → | ||
| 13–5 | 0.01 | 33% | 19 Jan → | ||
| 13–11 | -0.04 | 32% | 18 Jan → |
Match data via Leetify.