AyaFloydah of Chiraq — CS2 Stats
76561198076584425[U:1:116318697]Steam profile ↗
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=5,002), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 36.8% | 44.2% | 47.1% | 10.3% short |
| Shot accuracy | 13.1% | 11.6% | 12.8% | above |
| Kill/death ratio | 1.33 | 1.03 | 1.08 | above |
| Match win rate | 51.5% | 45.2% | 46.6% | above |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashesHigh utility contribution
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 iM 90% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: higher utility contribution; 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
Strengths
Utility. Utility score of 77 — grenade impact well above the norm.
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 6.8/10 (Solid), 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 |
|---|---|---|---|---|---|
 ancient | B | 19 | 10–9 | 53% | 0.04 |
 inferno | A | 19 | 12–7 | 63% | 0.05 |
 dust2 | A | 19 | 11–8 | 58% | 0.04 |
 mirage | B | 13 | 6–7 | 46% | 0.03 |
 anubis | C | 12 | 5–7 | 42% | 0.05 |
 cache | C | 10 | 4–6 | 40% | 0.03 |
 nuke | — | 4 | 2–2 | 50% | 0.03 |
 overpass | — | 4 | 4–0 | 100% | 0.08 |
Across the last 100 tracked matches.
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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Cache | 2 | 50% | 1.30 | 20.0 |
| Mirage | 2 | 0% | 0.88 | 14.0 |
| Inferno | 1 | 100% | 1.73 | 19.0 |
| Nuke | 1 | 100% | 0.95 | 20.0 |
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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–7 | 0.04 | 15% | 28 Aug → | |
| mirage | 13–6 | 0.08 | 24% | 25 Aug → | |
| cache | 10–13 | -0.01 | 10% | 25 Aug → | |
| anubis | 3–13 | 0.02 | 10% | 24 Aug → | |
| inferno | 13–5 | 0.07 | 0% | 24 Aug → | |
| cache | 7–13 | 0.03 | 30% | 24 Aug → | |
| anubis | 11–13 | 0.08 | 20% | 24 Aug → | |
| dust2 | 13–9 | 0.16 | 16% | 23 Aug → | |
| anubis | 11–13 | 0.07 | 18% | 23 Aug → | |
| ancient | 5–13 | -0.04 | 6% | 19 Aug → | |
| ancient | 13–8 | 0.14 | 19% | 18 Aug → | |
| dust2 | 13–10 | 0.06 | 21% | 17 Aug → | |
| inferno | 13–11 | 0.04 | 24% | 17 Aug → | |
| ancient | 16–13 | 0.13 | 14% | 12 Aug → | |
| dust2 | 13–2 | 0.08 | 24% | 12 Aug → | |
| cache | 13–5 | 0.08 | 16% | 11 Aug → | |
| anubis | 13–9 | 0.13 | 12% | 11 Aug → | |
| ancient | 16–14 | 0.05 | 8% | 10 Aug → | |
| dust2 | 5–13 | 0.01 | 23% | 10 Aug → | |
| cache | 11–13 | -0.02 | 13% | 9 Aug → | |
| ancient | 8–13 | -0.01 | 26% | 9 Aug → | |
| dust2 | 13–7 | 0.12 | 22% | 9 Aug → | |
| inferno | 13–4 | 0.12 | 23% | 4 Aug → | |
| anubis | 6–0 | 0.09 | 21% | 4 Aug → | |
| inferno | 13–4 | 0.16 | 17% | 3 Aug → | |
| dust2 | 13–2 | 0.05 | 17% | 3 Aug → | |
| inferno | 13–9 | 0.10 | 15% | 3 Aug → | |
| cache | 13–8 | 0.08 | 15% | 2 Aug → | |
| dust2 | 0–13 | -0.07 | 23% | 2 Aug → | |
| anubis | 11–13 | 0.02 | 14% | 29 Jul → | |
| dust2 | 3–13 | -0.02 | 13% | 28 Jul → | |
| dust2 | 6–13 | -0.06 | 19% | 28 Jul → | |
| mirage | 13–11 | -0.05 | 8% | 28 Jul → | |
| nuke | 10–13 | 0.04 | 20% | 28 Jul → | |
| mirage | 6–13 | 0.03 | 17% | 28 Jul → | |
| ancient | 13–11 | 0.02 | 15% | 28 Jul → | |
| dust2 | 13–7 | 0.07 | 14% | 27 Jul → | |
| inferno | 13–11 | 0.09 | 10% | 25 Jul → | |
| mirage | 15–15 | 0.03 | 16% | 25 Jul → | |
| ancient | 13–5 | 0.05 | 28% | 22 Jul → | |
| anubis | 13–11 | 0.14 | 18% | 22 Jul → | |
| mirage | 15–15 | -0.05 | 10% | 22 Jul → | |
| inferno | 2–13 | 0.05 | 15% | 22 Jul → | |
| inferno | 8–13 | 0.01 | 16% | 22 Jul → | |
| anubis | 13–10 | -0.03 | 14% | 20 Jul → | |
| nuke | 12–16 | -0.01 | 15% | 20 Jul → | |
| anubis | 13–8 | 0.12 | 16% | 20 Jul → | |
| mirage | 9–13 | 0.02 | 23% | 20 Jul → | |
| dust2 | 13–11 | -0.01 | 20% | 20 Jul → | |
| cache | 9–13 | 0.00 | 19% | 20 Jul → | |
| dust2 | 13–9 | 0.07 | 22% | 20 Jul → | |
| ancient | 13–16 | 0.03 | 17% | 20 Jul → | |
| mirage | 13–6 | 0.12 | 9% | 20 Jul → | |
| mirage | 2–4 | 0.05 | 33% | 14 Jul → | |
| ancient | 10–13 | -0.00 | 15% | 14 Jul → | |
| inferno | 15–15 | 0.05 | 8% | 13 Jul → | |
| inferno | 14–16 | 0.01 | 15% | 13 Jul → | |
| dust2 | 8–13 | -0.02 | 12% | 7 Jul → | |
| cache | 6–13 | 0.02 | 20% | 7 Jul → | |
| cache | 13–2 | 0.08 | 19% | 6 Jul → | |
| cache | 5–13 | 0.00 | 24% | 6 Jul → | |
| overpass | 13–5 | 0.03 | 13% | 6 Jul → | |
| ancient | 9–13 | 0.08 | 10% | 6 Jul → | |
| ancient | 9–13 | 0.02 | 16% | 5 Jul → | |
| overpass | 13–7 | 0.06 | 12% | 5 Jul → | |
| ancient | 13–9 | 0.02 | 15% | 5 Jul → | |
| cache | 13–11 | 0.01 | 21% | 1 Jul → | |
| inferno | 13–6 | 0.09 | 24% | 30 Jun → | |
| mirage | 6–13 | 0.03 | 23% | 30 Jun → | |
| overpass | 13–3 | 0.11 | 19% | 30 Jun → | |
| anubis | 11–13 | 0.01 | 19% | 30 Jun → | |
| ancient | 10–13 | -0.00 | 17% | 30 Jun → | |
| ancient | 13–5 | 0.11 | 12% | 30 Jun → | |
| inferno | 13–11 | 0.06 | 17% | 29 Jun → | |
| mirage | 13–9 | 0.02 | 8% | 29 Jun → | |
| dust2 | 14–16 | 0.04 | 23% | 29 Jun → | |
| inferno | 13–8 | 0.05 | 16% | 29 Jun → | |
| dust2 | 13–9 | 0.06 | 17% | 29 Jun → | |
| dust2 | 9–13 | 0.07 | 18% | 28 Jun → | |
| inferno | 13–5 | -0.00 | 14% | 24 Jun → | |
| inferno | 13–16 | 0.01 | 18% | 24 Jun → | |
| anubis | 14–16 | -0.01 | 12% | 23 Jun → | |
| dust2 | 13–7 | 0.03 | 17% | 23 Jun → | |
| inferno | 13–7 | 0.09 | 6% | 23 Jun → | |
| inferno | 11–13 | -0.02 | 13% | 23 Jun → | |
| inferno | 16–13 | 0.03 | 9% | 23 Jun → | |
| ancient | 8–13 | 0.05 | 15% | 22 Jun → | |
| overpass | 13–8 | 0.11 | 25% | 22 Jun → | |
| dust2 | 11–13 | 0.01 | 22% | 21 Jun → | |
| mirage | 2–6 | 0.02 | 40% | 17 Jun → | |
| anubis | 11–13 | 0.00 | 12% | 17 Jun → | |
| ancient | 11–13 | 0.03 | 25% | 17 Jun → | |
| mirage | 13–6 | 0.09 | 20% | 16 Jun → | |
| ancient | 13–6 | 0.02 | 15% | 16 Jun → | |
| nuke | 13–11 | 0.07 | 28% | 16 Jun → | |
| inferno | 2–13 | -0.08 | 11% | 16 Jun → | |
| nuke | 13–3 | 0.03 | 11% | 16 Jun → | |
| ancient | 13–6 | 0.03 | 18% | 15 Jun → | |
| mirage | 13–10 | 0.01 | 14% | 15 Jun → | |
| dust2 | 13–11 | 0.09 | 10% | 15 Jun → |
Match data via Leetify.