Rating over time
Faceit ELO
- At peak — 4,074
- Reached: 4,000 ELO · 3,500 ELO · 3,000 ELO · 2,500 ELO
- 4,000 ELO first seen 2026-08-28
- 3,500 ELO first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 Twistzz 96% playstyle similarity
Most alike: aim profile, positioning 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
Aim. Aim score of 94 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 51% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
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 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 27 | 19–8 | 70% | 0.03 | |
| A | 19 | 11–8 | 58% | -0.00 | |
| A | 14 | 9–5 | 64% | 0.01 | |
| C | 12 | 5–7 | 42% | 0.00 | |
| A | 12 | 7–5 | 58% | 0.00 | |
| A | 9 | 5–4 | 56% | -0.02 | |
| D | 5 | 1–4 | 20% | -0.05 | |
| — | 2 | 2–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 226 | 65% | 1.57 | 19.1 |
| Ancient | 212 | 58% | 1.42 | 18.4 |
| Anubis | 153 | 58% | 1.34 | 18.0 |
| Nuke | 103 | 64% | 1.42 | 18.7 |
| Mirage | 84 | 60% | 1.26 | 17.6 |
| Inferno | 77 | 53% | 1.49 | 18.8 |
| Overpass | 35 | 74% | 1.28 | 17.9 |
| Train | 28 | 46% | 1.42 | 19.3 |
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.
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.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 34.6463% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | -0.03 | 22% | 20 Aug → | ||
| 11–13 | 0.01 | 34% | 20 Aug → | ||
| 13–7 | -0.05 | 33% | 20 Aug → | ||
| 13–1 | 0.02 | 44% | 20 Aug → | ||
| 16–13 | -0.03 | 41% | 20 Aug → | ||
| 3–13 | -0.00 | 18% | 20 Aug → | ||
| 13–2 | 0.19 | 27% | 19 Aug → | ||
| 13–10 | -0.01 | 28% | 19 Aug → | ||
| 13–7 | -0.03 | 26% | 18 Aug → | ||
| 13–7 | 0.01 | 43% | 18 Aug → | ||
| 8–13 | -0.01 | 42% | 18 Aug → | ||
| 13–10 | 0.04 | 31% | 18 Aug → | ||
| 13–11 | -0.03 | 27% | 18 Aug → | ||
| 2–13 | -0.10 | 15% | 17 Aug → | ||
| 13–9 | 0.12 | 28% | 16 Aug → | ||
| 11–13 | -0.05 | 28% | 15 Aug → | ||
| 9–13 | 0.05 | 28% | 15 Aug → | ||
| 7–13 | -0.02 | 32% | 15 Aug → | ||
| 13–5 | -0.02 | 22% | 15 Aug → | ||
| 13–5 | 0.09 | 37% | 15 Aug → | ||
| 11–13 | -0.07 | 24% | 14 Aug → | ||
| 6–13 | -0.04 | 24% | 14 Aug → | ||
| 13–3 | 0.12 | 29% | 14 Aug → | ||
| 13–5 | 0.00 | 39% | 14 Aug → | ||
| 8–13 | 0.02 | 30% | 9 Aug → | ||
| 9–13 | -0.09 | 17% | 9 Aug → | ||
| 13–10 | 0.00 | 29% | 8 Aug → | ||
| 13–4 | 0.05 | 29% | 8 Aug → | ||
| 5–13 | -0.03 | 26% | 8 Aug → | ||
| 13–8 | 0.05 | 30% | 8 Aug → | ||
| 7–13 | -0.04 | 16% | 8 Aug → | ||
| 13–1 | 0.07 | 34% | 7 Aug → | ||
| 13–6 | 0.06 | 30% | 7 Aug → | ||
| 13–9 | 0.00 | 16% | 5 Aug → | ||
| 4–13 | -0.05 | 18% | 23 Jul → | ||
| 16–19 | -0.01 | 27% | 23 Jul → | ||
| 13–11 | -0.05 | 15% | 23 Jul → | ||
| 10–13 | -0.01 | 26% | 24 Jun → | ||
| 16–19 | -0.05 | 23% | 24 Jun → | ||
| 16–13 | 0.02 | 37% | 24 Jun → | ||
| 13–10 | -0.05 | 24% | 23 Jun → | ||
| 7–13 | 0.01 | 34% | 23 Jun → | ||
| 6–13 | 0.01 | 42% | 23 Jun → | ||
| 3–11 | -0.04 | 60% | 19 Jun → | ||
| 13–11 | 0.04 | 40% | 17 Jun → | ||
| 16–14 | 0.03 | 26% | 17 Jun → | ||
| 13–8 | -0.03 | 30% | 31 May → | ||
| 7–13 | 0.01 | 41% | 31 May → | ||
| 16–14 | -0.02 | 26% | 30 May → | ||
| 13–6 | 0.06 | 41% | 29 May → | ||
| 10–13 | -0.01 | 19% | 22 May → | ||
| 13–5 | 0.05 | 33% | 22 May → | ||
| 6–13 | -0.01 | 20% | 22 May → | ||
| 13–6 | 0.04 | 29% | 21 May → | ||
| 7–13 | -0.05 | 27% | 21 May → | ||
| 13–8 | -0.01 | 19% | 21 May → | ||
| 13–10 | 0.05 | 41% | 1 May → | ||
| 16–14 | 0.01 | 39% | 1 May → | ||
| 13–9 | 0.09 | 30% | 1 May → | ||
| 7–13 | -0.09 | 40% | 30 Apr → | ||
| 13–4 | 0.04 | 38% | 26 Apr → | ||
| 6–13 | 0.02 | 43% | 26 Apr → | ||
| 13–7 | 0.03 | 37% | 25 Apr → | ||
| 1–13 | -0.07 | 43% | 25 Apr → | ||
| 13–2 | 0.18 | 40% | 25 Apr → | ||
| 13–5 | 0.08 | 27% | 24 Apr → | ||
| 13–7 | 0.12 | 44% | 24 Apr → | ||
| 13–11 | 0.07 | 42% | 24 Apr → | ||
| 16–14 | 0.09 | 42% | 22 Apr → | ||
| 13–7 | 0.06 | 71% | 22 Apr → | ||
| 13–5 | 0.14 | 40% | 22 Apr → | ||
| 13–3 | -0.01 | 33% | 15 Apr → | ||
| 10–13 | -0.03 | 22% | 1 Apr → | ||
| 13–9 | -0.01 | 20% | 1 Apr → | ||
| 9–13 | -0.07 | 23% | 30 Mar → | ||
| 8–13 | -0.04 | 13% | 30 Mar → | ||
| 13–11 | -0.06 | 31% | 29 Mar → | ||
| 12–16 | 0.00 | 0% | 29 Mar → | ||
| 13–9 | -0.01 | 25% | 29 Mar → | ||
| 6–13 | -0.03 | 15% | 29 Mar → | ||
| 19–15 | -0.01 | 26% | 24 Mar → | ||
| 11–13 | -0.04 | 21% | 24 Mar → | ||
| 6–13 | -0.03 | 19% | 24 Mar → | ||
| 13–4 | 0.04 | 33% | 24 Mar → | ||
| 13–1 | 0.06 | 24% | 24 Mar → | ||
| 10–13 | 0.00 | 38% | 24 Mar → | ||
| 3–13 | -0.07 | 6% | 15 Mar → | ||
| 10–13 | 0.00 | 18% | 15 Mar → | ||
| 13–7 | 0.01 | 27% | 15 Mar → | ||
| 13–8 | -0.03 | 29% | 15 Mar → | ||
| 23–25 | 0.01 | 24% | 15 Mar → | ||
| 13–6 | 0.02 | 25% | 15 Mar → | ||
| 13–8 | -0.04 | 21% | 14 Mar → | ||
| 13–11 | -0.09 | 14% | 14 Mar → | ||
| 11–13 | -0.05 | 26% | 13 Mar → | ||
| 13–4 | 0.03 | 36% | 13 Mar → | ||
| 13–4 | 0.03 | 36% | 13 Mar → | ||
| 11–13 | 0.02 | 43% | 8 Mar → | ||
| 13–11 | 0.02 | 21% | 3 Mar → | ||
| 13–7 | 0.11 | 32% | 2 Mar → |
Match data via Leetify.