Rating over time
Faceit ELO
- At peak — 3,165
- Next: 3,500 ELO at 3,500 — 335 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-28
- 2,500 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: +40pp 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 sh1ro 99% 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 96 — the mechanical foundation is a clear strength.
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 57% on CT to 41% 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 7.8/10 (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 |
|---|---|---|---|---|---|
| B | 30 | 15–15 | 50% | 0.02 | |
| B | 22 | 10–12 | 45% | 0.01 | |
| B | 17 | 9–8 | 53% | 0.02 | |
| C | 16 | 7–9 | 44% | 0.04 | |
| C | 11 | 4–7 | 36% | -0.01 | |
| — | 4 | 4–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 430 | 59% | 1.53 | 19.3 |
| Anubis | 301 | 63% | 1.60 | 19.7 |
| Dust2 | 234 | 63% | 1.54 | 18.0 |
| Nuke | 156 | 65% | 1.49 | 18.0 |
| Vertigo | 119 | 66% | 1.66 | 18.4 |
| Overpass | 87 | 62% | 1.66 | 18.3 |
| Ancient | 45 | 51% | 1.31 | 16.1 |
| Inferno | 26 | 65% | 1.87 | 16.5 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.07 | 39% | 17 Aug → | ||
| 13–3 | 0.07 | 32% | 4 Jul → | ||
| 13–10 | 0.04 | 24% | 30 Jun → | ||
| 13–16 | 0.01 | 16% | 30 Jun → | ||
| 9–13 | -0.02 | 31% | 18 Jun → | ||
| 13–11 | 0.00 | 24% | 14 Jun → | ||
| 11–13 | 0.05 | 26% | 14 Jun → | ||
| 13–9 | 0.00 | 27% | 14 Jun → | ||
| 13–10 | 0.03 | 22% | 14 Jun → | ||
| 13–8 | -0.01 | 32% | 12 Jun → | ||
| 13–10 | 0.04 | 4% | 12 Jun → | ||
| 13–11 | 0.06 | 35% | 10 Jun → | ||
| 2–13 | 0.00 | 35% | 10 Jun → | ||
| 19–16 | 0.04 | 11% | 8 Jun → | ||
| 8–13 | -0.04 | 14% | 8 Jun → | ||
| 7–13 | 0.02 | 43% | 8 Jun → | ||
| 10–13 | 0.10 | 24% | 5 Jun → | ||
| 10–13 | 0.03 | 17% | 5 Jun → | ||
| 11–13 | 0.03 | 22% | 4 Jun → | ||
| 5–13 | -0.03 | 83% | 4 Jun → | ||
| 8–13 | -0.02 | 29% | 4 Jun → | ||
| 13–3 | 0.06 | 24% | 1 Jun → | ||
| 11–13 | -0.01 | 32% | 28 May → | ||
| 19–15 | 0.04 | 23% | 25 May → | ||
| 22–19 | 0.04 | 14% | 25 May → | ||
| 13–5 | 0.08 | 10% | 25 May → | ||
| 13–5 | 0.05 | 22% | 22 May → | ||
| 11–13 | 0.02 | 27% | 22 May → | ||
| 16–14 | 0.04 | 38% | 22 May → | ||
| 4–13 | -0.00 | 6% | 22 May → | ||
| 11–13 | -0.03 | 24% | 22 May → | ||
| 5–13 | -0.08 | 27% | 21 May → | ||
| 2–13 | 0.01 | 31% | 20 May → | ||
| 13–9 | 0.06 | 21% | 19 May → | ||
| 13–2 | 0.04 | 40% | 19 May → | ||
| 13–10 | 0.00 | 14% | 18 May → | ||
| 10–13 | 0.02 | 29% | 18 May → | ||
| 10–13 | 0.04 | 45% | 18 May → | ||
| 7–13 | -0.06 | 27% | 9 May → | ||
| 13–9 | 0.03 | 17% | 9 May → | ||
| 7–13 | 0.04 | 26% | 9 May → | ||
| 7–13 | -0.05 | 13% | 7 May → | ||
| 13–7 | 0.04 | 36% | 7 May → | ||
| 13–16 | -0.00 | 28% | 7 May → | ||
| 6–13 | -0.00 | 7% | 6 May → | ||
| 17–19 | 0.07 | 16% | 6 May → | ||
| 17–19 | 0.01 | 29% | 6 May → | ||
| 13–3 | 0.04 | 23% | 4 May → | ||
| 13–1 | 0.11 | 20% | 4 May → | ||
| 5–13 | -0.04 | 29% | 4 May → | ||
| 13–8 | 0.04 | 26% | 3 May → | ||
| 8–13 | -0.02 | 24% | 3 May → | ||
| 13–1 | 0.11 | 40% | 3 May → | ||
| 2–13 | 0.02 | 18% | 2 May → | ||
| 16–13 | 0.04 | 17% | 2 May → | ||
| 13–5 | 0.10 | 22% | 2 May → | ||
| 13–4 | 0.14 | 18% | 1 May → | ||
| 22–20 | 0.00 | 13% | 1 May → | ||
| 5–13 | -0.05 | 21% | 28 Apr → | ||
| 13–10 | 0.06 | 25% | 28 Apr → | ||
| 10–13 | 0.00 | 26% | 28 Apr → | ||
| 13–3 | 0.05 | 33% | 27 Apr → | ||
| 8–13 | -0.04 | 42% | 27 Apr → | ||
| 13–11 | 0.04 | 43% | 27 Apr → | ||
| 5–13 | 0.04 | 26% | 26 Apr → | ||
| 5–13 | -0.02 | 20% | 26 Apr → | ||
| 13–9 | 0.07 | 57% | 24 Apr → | ||
| 9–13 | -0.03 | 37% | 24 Apr → | ||
| 13–9 | 0.04 | 24% | 24 Apr → | ||
| 10–13 | 0.02 | 38% | 22 Apr → | ||
| 13–7 | 0.03 | 40% | 22 Apr → | ||
| 19–16 | 0.01 | 35% | 22 Apr → | ||
| 9–13 | 0.00 | 0% | 21 Apr → | ||
| 16–14 | 0.04 | 23% | 21 Apr → | ||
| 13–11 | 0.05 | 13% | 21 Apr → | ||
| 14–16 | 0.01 | 7% | 19 Apr → | ||
| 4–13 | -0.03 | 30% | 19 Apr → | ||
| 6–13 | 0.08 | 50% | 16 Apr → | ||
| 17–19 | -0.02 | 25% | 16 Apr → | ||
| 13–4 | 0.07 | 35% | 15 Apr → | ||
| 13–6 | 0.05 | 27% | 15 Apr → | ||
| 13–11 | 0.07 | 35% | 12 Apr → | ||
| 13–5 | 0.01 | 27% | 12 Apr → | ||
| 13–6 | 0.03 | 36% | 11 Apr → | ||
| 13–9 | -0.01 | 17% | 11 Apr → | ||
| 14–16 | -0.04 | 11% | 10 Apr → | ||
| 3–13 | -0.03 | 57% | 10 Apr → | ||
| 13–6 | -0.05 | 47% | 10 Apr → | ||
| 8–13 | -0.04 | 28% | 9 Apr → | ||
| 9–13 | -0.04 | 26% | 9 Apr → | ||
| 8–13 | -0.06 | 32% | 9 Apr → | ||
| 4–13 | 0.01 | 18% | 9 Apr → | ||
| 6–13 | -0.02 | 38% | 7 Apr → | ||
| 16–14 | 0.03 | 42% | 7 Apr → | ||
| 13–2 | 0.08 | 27% | 3 Apr → | ||
| 20–22 | 0.03 | 26% | 3 Apr → | ||
| 13–10 | -0.02 | 14% | 3 Apr → | ||
| 7–13 | 0.10 | 47% | 2 Apr → | ||
| 13–4 | 0.11 | 58% | 2 Apr → | ||
| 5–13 | -0.04 | 26% | 2 Apr → |
Match data via Leetify.