Rating over time
Faceit ELO
- At peak — 4,668
- 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 aimerExcellent counter-strafingStrong 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 sh1ro 97% playstyle similarity
Most alike: aim profile, 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 98 — the mechanical foundation is a clear strength.
Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 62% on CT to 36% 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 8.6/10 (Elite), 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 |
|---|---|---|---|---|---|
| A | 31 | 18–13 | 58% | 0.05 | |
| S | 27 | 19–8 | 70% | 0.05 | |
| S | 13 | 12–1 | 92% | 0.07 | |
| S | 12 | 8–4 | 67% | 0.04 | |
| A | 9 | 5–4 | 56% | 0.03 | |
| B | 8 | 4–4 | 50% | 0.04 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 918 | 68% | 1.71 | 24.3 |
| Ancient | 462 | 67% | 1.72 | 24.0 |
| Dust2 | 400 | 71% | 1.79 | 24.7 |
| Anubis | 357 | 67% | 1.74 | 23.9 |
| Nuke | 126 | 70% | 1.66 | 23.6 |
| Vertigo | 112 | 78% | 1.86 | 23.3 |
| Train | 63 | 57% | 1.86 | 23.5 |
| Overpass | 62 | 65% | 1.77 | 23.5 |
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 36.0286% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | -0.02 | 49% | 27 Aug → | ||
| 13–7 | 0.11 | 31% | 26 Aug → | ||
| 13–8 | 0.08 | 29% | 26 Aug → | ||
| 0–13 | -0.01 | 32% | 25 Aug → | ||
| 13–16 | 0.08 | 45% | 24 Aug → | ||
| 10–13 | -0.00 | 45% | 23 Aug → | ||
| 16–14 | 0.02 | 28% | 23 Aug → | ||
| 16–13 | -0.00 | 30% | 23 Aug → | ||
| 13–5 | 0.05 | 27% | 23 Aug → | ||
| 13–7 | 0.04 | 31% | 22 Aug → | ||
| 13–9 | 0.06 | 26% | 22 Aug → | ||
| 13–11 | 0.04 | 39% | 21 Aug → | ||
| 14–16 | 0.01 | 25% | 21 Aug → | ||
| 13–3 | 0.07 | 19% | 21 Aug → | ||
| 9–13 | -0.03 | 18% | 20 Aug → | ||
| 13–9 | 0.09 | 26% | 20 Aug → | ||
| 13–9 | 0.01 | 31% | 20 Aug → | ||
| 12–16 | 0.05 | 26% | 19 Aug → | ||
| 7–13 | 0.05 | 16% | 19 Aug → | ||
| 11–13 | -0.01 | 34% | 17 Aug → | ||
| 13–7 | 0.11 | 27% | 15 Aug → | ||
| 13–10 | -0.02 | 14% | 15 Aug → | ||
| 9–13 | 0.02 | 32% | 15 Aug → | ||
| 13–10 | 0.10 | 36% | 15 Aug → | ||
| 8–13 | 0.01 | 38% | 13 Aug → | ||
| 13–1 | 0.09 | 34% | 13 Aug → | ||
| 8–3 | 0.15 | 24% | 13 Aug → | ||
| 5–0 | 0.09 | 26% | 13 Aug → | ||
| 19–15 | 0.01 | 31% | 13 Aug → | ||
| 8–13 | 0.03 | 36% | 12 Aug → | ||
| 13–10 | 0.07 | 30% | 12 Aug → | ||
| 10–13 | 0.06 | 24% | 12 Aug → | ||
| 10–13 | 0.02 | 29% | 11 Aug → | ||
| 10–13 | 0.05 | 24% | 11 Aug → | ||
| 13–9 | 0.02 | 38% | 11 Aug → | ||
| 9–13 | -0.03 | 42% | 10 Aug → | ||
| 13–3 | 0.01 | 31% | 10 Aug → | ||
| 13–7 | 0.05 | 35% | 9 Aug → | ||
| 13–10 | 0.04 | 32% | 9 Aug → | ||
| 13–9 | 0.04 | 21% | 9 Aug → | ||
| 13–7 | -0.01 | 23% | 8 Aug → | ||
| 13–2 | 0.16 | 42% | 8 Aug → | ||
| 9–13 | 0.03 | 38% | 8 Aug → | ||
| 13–3 | 0.05 | 41% | 7 Aug → | ||
| 13–11 | 0.15 | 39% | 7 Aug → | ||
| 16–14 | 0.04 | 33% | 7 Aug → | ||
| 13–6 | 0.07 | 40% | 7 Aug → | ||
| 14–16 | 0.05 | 30% | 7 Aug → | ||
| 13–10 | 0.01 | 36% | 6 Aug → | ||
| 11–13 | 0.04 | 36% | 6 Aug → | ||
| 13–6 | 0.06 | 32% | 6 Aug → | ||
| 12–16 | 0.07 | 56% | 6 Aug → | ||
| 11–13 | 0.02 | 26% | 6 Aug → | ||
| 12–16 | 0.04 | 26% | 5 Aug → | ||
| 9–13 | 0.02 | 35% | 5 Aug → | ||
| 13–9 | 0.10 | 33% | 5 Aug → | ||
| 13–10 | -0.02 | 32% | 5 Aug → | ||
| 8–13 | 0.03 | 38% | 5 Aug → | ||
| 13–7 | 0.00 | 33% | 5 Aug → | ||
| 8–13 | 0.01 | 30% | 5 Aug → | ||
| 16–13 | 0.07 | 44% | 4 Aug → | ||
| 13–8 | 0.11 | 38% | 4 Aug → | ||
| 11–13 | 0.05 | 38% | 3 Aug → | ||
| 13–10 | 0.09 | 38% | 3 Aug → | ||
| 10–13 | 0.01 | 18% | 2 Aug → | ||
| 4–13 | -0.02 | 26% | 2 Aug → | ||
| 8–13 | 0.02 | 38% | 2 Aug → | ||
| 13–9 | 0.02 | 23% | 2 Aug → | ||
| 9–13 | -0.02 | 40% | 1 Aug → | ||
| 13–11 | -0.01 | 18% | 1 Aug → | ||
| 13–6 | -0.01 | 20% | 1 Aug → | ||
| 13–4 | 0.18 | 25% | 31 Jul → | ||
| 13–9 | 0.09 | 36% | 30 Jul → | ||
| 7–13 | 0.00 | 44% | 30 Jul → | ||
| 13–7 | 0.05 | 34% | 30 Jul → | ||
| 13–5 | 0.12 | 36% | 30 Jul → | ||
| 13–6 | 0.02 | 25% | 29 Jul → | ||
| 13–2 | 0.11 | 41% | 29 Jul → | ||
| 13–10 | 0.03 | 37% | 28 Jul → | ||
| 13–3 | 0.06 | 33% | 28 Jul → | ||
| 13–8 | 0.08 | 31% | 27 Jul → | ||
| 4–13 | -0.08 | 28% | 27 Jul → | ||
| 22–20 | 0.03 | 38% | 27 Jul → | ||
| 13–11 | 0.06 | 23% | 26 Jul → | ||
| 13–0 | 0.21 | 39% | 26 Jul → | ||
| 4–13 | -0.03 | 22% | 26 Jul → | ||
| 16–14 | 0.10 | 39% | 25 Jul → | ||
| 13–4 | 0.04 | 38% | 23 Jul → | ||
| 19–16 | 0.05 | 35% | 23 Jul → | ||
| 11–13 | 0.04 | 29% | 23 Jul → | ||
| 13–6 | 0.09 | 49% | 23 Jul → | ||
| 5–13 | 0.01 | 35% | 22 Jul → | ||
| 13–4 | 0.09 | 33% | 22 Jul → | ||
| 22–20 | 0.02 | 36% | 20 Jul → | ||
| 13–7 | 0.08 | 41% | 17 Jul → | ||
| 13–11 | 0.05 | 28% | 14 Jul → | ||
| 19–16 | 0.01 | 30% | 14 Jul → | ||
| 13–5 | 0.07 | 25% | 13 Jul → | ||
| 13–5 | 0.15 | 26% | 12 Jul → | ||
| 13–11 | 0.08 | 33% | 11 Jul → |
Match data via Leetify.