Rating over time
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent 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 s1mple 95% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
Reaction time. 616ms 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 7.9/10 (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 |
|---|---|---|---|---|---|
| S | 57 | 39–18 | 68% | 0.04 | |
| S | 16 | 12–4 | 75% | 0.05 | |
| B | 12 | 6–6 | 50% | 0.03 | |
| S | 6 | 6–0 | 100% | 0.04 | |
| S | 5 | 4–1 | 80% | 0.04 | |
| — | 3 | 3–0 | 100% | 0.06 | |
| — | 1 | 1–0 | 100% | 0.09 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (50% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 234 | 67% | 1.30 | 18.1 |
| Anubis | 220 | 65% | 1.29 | 17.6 |
| Dust2 | 118 | 62% | 1.31 | 17.2 |
| Mirage | 83 | 64% | 1.20 | 17.7 |
| Vertigo | 73 | 75% | 1.43 | 19.0 |
| Nuke | 38 | 63% | 1.30 | 17.8 |
| Inferno | 12 | 75% | 1.14 | 15.3 |
| Train | 12 | 50% | 0.98 | 18.2 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 19–15 | 0.12 | 26% | 7 Aug → | ||
| 13–5 | 0.04 | 33% | 3 Aug → | ||
| 13–9 | 0.09 | 32% | 30 Jul → | ||
| 3–13 | 0.06 | 31% | 28 Jul → | ||
| 14–16 | -0.05 | 18% | 28 Jul → | ||
| 13–5 | 0.02 | 31% | 28 Jul → | ||
| 7–3 | -0.02 | 38% | 28 Jul → | ||
| 13–7 | 0.03 | 24% | 8 Jul → | ||
| 12–12 | -0.02 | 21% | 7 Jul → | ||
| 13–9 | 0.08 | 38% | 7 Jul → | ||
| 13–4 | 0.08 | 31% | 7 Jul → | ||
| 13–5 | -0.01 | 14% | 6 Jul → | ||
| 13–5 | 0.05 | 28% | 6 Jul → | ||
| 7–0 | 0.07 | 35% | 6 Jul → | ||
| 13–2 | 0.10 | 30% | 6 Jul → | ||
| 12–12 | -0.01 | 28% | 5 Jul → | ||
| 7–13 | 0.00 | 30% | 5 Jul → | ||
| 12–12 | 0.15 | 27% | 5 Jul → | ||
| 13–11 | 0.00 | 27% | 4 Jul → | ||
| 9–13 | 0.06 | 29% | 4 Jul → | ||
| 13–9 | 0.00 | 41% | 4 Jul → | ||
| 13–11 | 0.02 | 37% | 3 Jul → | ||
| 5–13 | 0.02 | 45% | 3 Jul → | ||
| 13–10 | 0.03 | 18% | 3 Jul → | ||
| 10–13 | 0.00 | 26% | 2 Jul → | ||
| 13–8 | 0.09 | 26% | 1 Jul → | ||
| 13–1 | -0.02 | 35% | 30 Jun → | ||
| 12–12 | 0.06 | 18% | 30 Jun → | ||
| 12–12 | 0.09 | 35% | 26 Jun → | ||
| 0–5 | 0.02 | 17% | 26 Jun → | ||
| 13–7 | 0.03 | 34% | 26 Jun → | ||
| 13–5 | 0.01 | 11% | 25 Jun → | ||
| 16–12 | 0.09 | 38% | 25 Jun → | ||
| 13–2 | 0.06 | 24% | 24 Jun → | ||
| 7–13 | -0.02 | 34% | 24 Jun → | ||
| 13–10 | 0.05 | 25% | 24 Jun → | ||
| 13–7 | 0.08 | 29% | 24 Jun → | ||
| 13–0 | 0.06 | 25% | 24 Jun → | ||
| 13–9 | 0.06 | 38% | 24 Jun → | ||
| 13–7 | 0.05 | 36% | 24 Jun → | ||
| 13–1 | 0.08 | 25% | 23 Jun → | ||
| 11–13 | 0.03 | 19% | 23 Jun → | ||
| 13–3 | 0.06 | 21% | 23 Jun → | ||
| 13–7 | 0.01 | 28% | 23 Jun → | ||
| 13–8 | 0.02 | 11% | 23 Jun → | ||
| 13–2 | 0.15 | 27% | 23 Jun → | ||
| 13–6 | 0.01 | 22% | 23 Jun → | ||
| 13–8 | 0.05 | 27% | 22 Jun → | ||
| 13–6 | -0.01 | 25% | 20 Jun → | ||
| 10–1 | 0.05 | 22% | 20 Jun → | ||
| 12–12 | 0.03 | 23% | 18 Jun → | ||
| 13–4 | 0.08 | 26% | 16 Jun → | ||
| 13–7 | -0.00 | 21% | 16 Jun → | ||
| 13–6 | 0.04 | 26% | 16 Jun → | ||
| 13–4 | 0.09 | 31% | 16 Jun → | ||
| 3–13 | -0.04 | 27% | 16 Jun → | ||
| 3–13 | -0.06 | 33% | 16 Jun → | ||
| 10–13 | 0.11 | 20% | 16 Jun → | ||
| 0–3 | 0.04 | 75% | 16 Jun → | ||
| 0–13 | -0.05 | 31% | 13 Jun → | ||
| 13–7 | 0.01 | 26% | 9 Jun → | ||
| 13–3 | 0.09 | 36% | 9 Jun → | ||
| 13–8 | 0.08 | 22% | 9 Jun → | ||
| 13–5 | 0.07 | 25% | 9 Jun → | ||
| 13–8 | 0.08 | 31% | 7 May → | ||
| 13–2 | 0.10 | 23% | 7 May → | ||
| 13–9 | -0.01 | 26% | 7 May → | ||
| 8–13 | 0.02 | 30% | 6 May → | ||
| 13–5 | 0.07 | 25% | 6 May → | ||
| 13–8 | 0.00 | 28% | 6 May → | ||
| 13–3 | 0.01 | 28% | 5 May → | ||
| 13–0 | -0.00 | 29% | 5 May → | ||
| 13–9 | 0.05 | 26% | 5 May → | ||
| 13–9 | 0.09 | 30% | 4 May → | ||
| 13–11 | -0.02 | 25% | 4 May → | ||
| 12–12 | 0.06 | 25% | 4 May → | ||
| 13–2 | 0.07 | 35% | 3 May → | ||
| 10–13 | -0.03 | 30% | 3 May → | ||
| 13–7 | 0.08 | 34% | 3 May → | ||
| 13–7 | -0.02 | 28% | 30 Apr → | ||
| 12–12 | 0.04 | 25% | 30 Apr → | ||
| 13–8 | 0.00 | 31% | 30 Apr → | ||
| 13–7 | 0.09 | 37% | 29 Apr → | ||
| 9–13 | 0.01 | 29% | 29 Apr → | ||
| 13–9 | 0.02 | 16% | 29 Apr → | ||
| 13–3 | 0.05 | 27% | 29 Apr → | ||
| 13–2 | 0.12 | 38% | 27 Apr → | ||
| 13–2 | 0.11 | 28% | 27 Apr → | ||
| 13–9 | 0.03 | 30% | 24 Apr → | ||
| 13–6 | 0.02 | 33% | 24 Apr → | ||
| 13–7 | -0.02 | 28% | 23 Apr → | ||
| 9–13 | 0.01 | 38% | 23 Apr → | ||
| 13–6 | 0.13 | 20% | 23 Apr → | ||
| 13–1 | 0.11 | 29% | 22 Apr → | ||
| 10–13 | 0.01 | 26% | 22 Apr → | ||
| 6–1 | 0.01 | 39% | 8 Apr → | ||
| 13–7 | -0.00 | 31% | 12 Feb → | ||
| 9–13 | -0.00 | 37% | 12 Feb → | ||
| 13–9 | 0.01 | 29% | 10 Feb → | ||
| 12–12 | 0.09 | 24% | 10 Feb → |
Match data via Leetify.