olaeyo — CS2 Stats
76561198068319494[U:1:108053766]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 41.8% | 48.1% | 6.3% short |
| Shot accuracy | 4.6% | 12.9% | 8.3% short |
| Kill/death ratio | 0.89 | 1.08 | 0.19 short |
| Match win rate | 39.6% | 46.5% | 6.8% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Shot accuracy. 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: -10pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 ropz 91% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: 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
Areas to improve
Reaction time. 584ms 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 5.7/10 (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 |
|---|---|---|---|---|---|
 cache | C | 26 | 11–15 | 42% | 0.02 |
 dust2 | C | 13 | 5–8 | 38% | -0.02 |
 ancient | A | 10 | 6–4 | 60% | -0.01 |
 mirage | S | 10 | 8–2 | 80% | 0.04 |
 vertigo | A | 9 | 5–4 | 56% | 0.05 |
 train | S | 8 | 7–1 | 88% | 0.03 |
 anubis | B | 6 | 3–3 | 50% | -0.02 |
 nuke | S | 6 | 4–2 | 67% | 0.04 |
 inferno | C | 5 | 2–3 | 40% | 0.01 |
 overpass | — | 4 | 3–1 | 75% | 0.05 |
| office | — | 2 | 0–2 | 0% | 0.02 |
| poseidon | — | 1 | 1–0 | 100% | 0.13 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Dust 2 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.
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.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 10–13 | -0.03 | 28% | 17 Aug → | |
| cache | 13–8 | 0.05 | 17% | 17 Aug → | |
| ancient | 13–8 | -0.07 | 14% | 17 Aug → | |
| ancient | 13–16 | 0.03 | 17% | 17 Aug → | |
| mirage | 7–11 | -0.03 | 17% | 17 Aug → | |
| mirage | 16–13 | 0.02 | 20% | 17 Aug → | |
| dust2 | 13–10 | 0.05 | 12% | 17 Aug → | |
| anubis | 8–13 | -0.00 | 7% | 17 Aug → | |
| dust2 | 6–13 | 0.01 | 39% | 17 Aug → | |
| mirage | 13–7 | 0.03 | 39% | 17 Aug → | |
| dust2 | 8–13 | -0.02 | 13% | 16 Aug → | |
| cache | 13–5 | -0.01 | 33% | 16 Aug → | |
| anubis | 13–5 | 0.03 | 16% | 16 Aug → | |
| inferno | 15–15 | 0.02 | 15% | 16 Aug → | |
| ancient | 16–14 | 0.00 | 15% | 16 Aug → | |
| dust2 | 11–13 | -0.02 | 23% | 16 Aug → | |
| dust2 | 16–12 | -0.01 | 22% | 15 Aug → | |
| mirage | 13–5 | 0.04 | 22% | 15 Aug → | |
| nuke | 4–13 | -0.01 | 10% | 15 Aug → | |
| inferno | 13–7 | -0.03 | 21% | 15 Aug → | |
| ancient | 11–13 | -0.02 | 39% | 15 Aug → | |
| cache | 10–13 | -0.01 | 18% | 15 Aug → | |
| vertigo | 13–3 | 0.10 | 12% | 15 Aug → | |
| train | 13–10 | 0.01 | 24% | 15 Aug → | |
| train | 13–3 | 0.06 | 19% | 15 Aug → | |
| cache | 11–13 | -0.03 | 20% | 3 Aug → | |
| overpass | 12–9 | 0.01 | 14% | 3 Aug → | |
| nuke | 5–13 | 0.02 | 12% | 3 Aug → | |
| ancient | 13–3 | -0.02 | 13% | 3 Aug → | |
| vertigo | 4–13 | 0.01 | 14% | 3 Aug → | |
| mirage | 12–5 | 0.07 | 15% | 2 Aug → | |
| mirage | 13–3 | 0.16 | 28% | 2 Aug → | |
| anubis | 13–5 | -0.01 | 16% | 2 Aug → | |
| ancient | 13–2 | 0.06 | 21% | 2 Aug → | |
| cache | 1–13 | 0.00 | 19% | 2 Aug → | |
| vertigo | 13–8 | 0.12 | 18% | 2 Aug → | |
| overpass | 13–9 | 0.07 | 11% | 2 Aug → | |
| train | 11–13 | -0.01 | 25% | 2 Aug → | |
| cache | 4–13 | 0.04 | 19% | 1 Aug → | |
| vertigo | 13–10 | 0.00 | 18% | 1 Aug → | |
| dust2 | 13–8 | -0.02 | 16% | 1 Aug → | |
| nuke | 13–10 | 0.04 | 25% | 1 Aug → | |
| vertigo | 8–13 | -0.00 | 21% | 31 Jul → | |
| vertigo | 13–10 | 0.02 | 15% | 31 Jul → | |
| vertigo | 4–13 | 0.07 | 13% | 31 Jul → | |
| inferno | 13–7 | 0.14 | 43% | 18 May → | |
| mirage | 13–7 | -0.03 | 20% | 18 May → | |
| mirage | 13–11 | 0.04 | 15% | 17 May → | |
| dust2 | 14–16 | -0.01 | 13% | 17 May → | |
| anubis | 7–13 | -0.04 | 19% | 17 May → | |
| cache | 2–13 | -0.05 | 11% | 17 May → | |
| nuke | 13–9 | 0.00 | 14% | 14 May → | |
| cache | 12–12 | -0.05 | 16% | 14 May → | |
| office | 10–13 | 0.05 | 10% | 13 May → | |
| office | 10–13 | -0.01 | 16% | 13 May → | |
| dust2 | 13–7 | -0.08 | 21% | 10 May → | |
| cache | 13–7 | 0.06 | 25% | 10 May → | |
| dust2 | 4–13 | -0.10 | 22% | 10 May → | |
| overpass | 13–9 | 0.03 | 21% | 10 May → | |
| ancient | 5–13 | -0.10 | 20% | 10 May → | |
| cache | 13–5 | 0.06 | 25% | 10 May → | |
| cache | 8–13 | -0.02 | 8% | 8 May → | |
| cache | 11–13 | 0.07 | 18% | 8 May → | |
| anubis | 10–13 | -0.04 | 16% | 4 May → | |
| cache | 13–9 | 0.04 | 35% | 4 May → | |
| cache | 12–12 | -0.02 | 12% | 4 May → | |
| cache | 12–12 | -0.02 | 14% | 3 May → | |
| ancient | 5–13 | -0.08 | 24% | 3 May → | |
| dust2 | 1–13 | -0.08 | 25% | 3 May → | |
| cache | 3–13 | 0.01 | 14% | 3 May → | |
| cache | 12–12 | 0.08 | 27% | 3 May → | |
| cache | 13–8 | 0.12 | 23% | 3 May → | |
| cache | 13–10 | -0.03 | 18% | 2 May → | |
| cache | 13–9 | 0.03 | 20% | 2 May → | |
| cache | 13–11 | 0.15 | 25% | 2 May → | |
| cache | 13–1 | 0.13 | 30% | 2 May → | |
| cache | 13–10 | -0.02 | 12% | 1 May → | |
| cache | 8–13 | -0.05 | 9% | 1 May → | |
| cache | 6–13 | -0.09 | 20% | 1 May → | |
| cache | 6–13 | 0.09 | 25% | 29 Apr → | |
| nuke | 13–8 | 0.09 | 19% | 28 Apr → | |
| train | 13–6 | -0.07 | 20% | 28 Apr → | |
| poseidon | 9–5 | 0.13 | 20% | 28 Apr → | |
| overpass | 13–11 | 0.11 | 22% | 24 Apr → | |
| vertigo | 7–13 | 0.04 | 18% | 24 Apr → | |
| train | 13–6 | 0.03 | 10% | 24 Apr → | |
| dust2 | 9–13 | 0.03 | 25% | 23 Apr → | |
| inferno | 9–13 | -0.02 | 13% | 23 Apr → | |
| mirage | 8–13 | 0.01 | 27% | 23 Apr → | |
| dust2 | 13–4 | -0.00 | 13% | 23 Apr → | |
| inferno | 5–13 | -0.04 | 18% | 23 Apr → | |
| anubis | 13–5 | -0.06 | 5% | 23 Apr → | |
| mirage | 13–9 | 0.04 | 20% | 23 Apr → | |
| train | 13–11 | 0.02 | 19% | 22 Apr → | |
| train | 13–8 | 0.04 | 10% | 22 Apr → | |
| train | 13–3 | 0.15 | 15% | 22 Apr → | |
| vertigo | 13–10 | 0.08 | 16% | 20 Apr → | |
| ancient | 13–10 | 0.06 | 16% | 20 Apr → | |
| nuke | 13–3 | 0.07 | 15% | 20 Apr → | |
| ancient | 13–5 | 0.01 | 10% | 16 Apr → |
Match data via Leetify.