olise — CS2 Stats
76561198258369646[U:1:298103918]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | Level 10 median |
|---|---|---|
| Headshot rate | 65.1% | 52.8% |
| Shot accuracy | 13.3% | 13.7% |
| Kill/death ratio | 0.99 | 1.08 |
| Match win rate | 53.8% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.06 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 97% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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.
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.
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 61% on CT to 39% 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 8.1/10 (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 |
|---|---|---|---|---|---|
| A | 30 | 17–13 | 57% | 0.02 | |
| A | 24 | 14–10 | 58% | 0.03 | |
| A | 14 | 8–6 | 57% | 0.02 | |
| S | 12 | 8–4 | 67% | 0.04 | |
| S | 8 | 7–1 | 88% | 0.06 | |
| A | 7 | 4–3 | 57% | 0.03 | |
| — | 4 | 4–0 | 100% | 0.09 | |
| — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (57% over 30). Start with the 6 essential Mirage 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 728 | 61% | 1.30 | 17.6 |
| Anubis | 506 | 65% | 1.35 | 18.3 |
| Ancient | 480 | 60% | 1.31 | 18.0 |
| Dust2 | 207 | 53% | 1.20 | 16.7 |
| Vertigo | 132 | 56% | 1.33 | 18.1 |
| Nuke | 123 | 57% | 1.19 | 16.5 |
| Inferno | 76 | 51% | 1.24 | 18.1 |
| Overpass | 40 | 50% | 1.13 | 15.4 |
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
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 39.3541% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.19 | 29% | 25 Aug → | ||
| 13–1 | 0.17 | 26% | 24 Aug → | ||
| 13–9 | 0.04 | 25% | 23 Aug → | ||
| 11–13 | 0.02 | 30% | 22 Aug → | ||
| 9–13 | 0.07 | 41% | 22 Aug → | ||
| 13–2 | 0.20 | 40% | 21 Aug → | ||
| 13–5 | -0.05 | 20% | 19 Jul → | ||
| 13–7 | 0.00 | 25% | 19 Jul → | ||
| 13–8 | -0.01 | 15% | 18 Jul → | ||
| 13–6 | 0.03 | 23% | 18 Jul → | ||
| 13–7 | -0.02 | 20% | 16 Jul → | ||
| 13–3 | -0.01 | 24% | 16 Jul → | ||
| 8–13 | -0.04 | 22% | 16 Jul → | ||
| 2–13 | -0.04 | 25% | 15 Jul → | ||
| 13–11 | 0.06 | 24% | 15 Jul → | ||
| 13–7 | 0.08 | 51% | 13 Jul → | ||
| 5–13 | -0.03 | 20% | 19 May → | ||
| 5–13 | 0.02 | 28% | 17 May → | ||
| 2–1 | -0.00 | 0% | 17 May → | ||
| 13–3 | 0.09 | 29% | 13 May → | ||
| 7–13 | 0.01 | 20% | 13 May → | ||
| 13–11 | 0.08 | 22% | 2 May → | ||
| 13–1 | 0.02 | 30% | 2 May → | ||
| 13–7 | 0.04 | 25% | 1 May → | ||
| 13–11 | 0.08 | 25% | 1 May → | ||
| 1–13 | -0.07 | 21% | 30 Apr → | ||
| 13–9 | 0.18 | 24% | 29 Apr → | ||
| 7–13 | -0.07 | 22% | 27 Apr → | ||
| 13–4 | 0.06 | 27% | 26 Apr → | ||
| 13–5 | 0.05 | 24% | 26 Apr → | ||
| 13–9 | 0.05 | 15% | 24 Apr → | ||
| 4–13 | 0.03 | 44% | 23 Apr → | ||
| 13–11 | 0.04 | 22% | 23 Apr → | ||
| 6–13 | 0.04 | 31% | 23 Apr → | ||
| 7–13 | -0.06 | 30% | 22 Apr → | ||
| 16–13 | 0.05 | 18% | 22 Apr → | ||
| 13–9 | 0.10 | 33% | 22 Apr → | ||
| 9–13 | 0.03 | 35% | 21 Apr → | ||
| 10–13 | 0.02 | 30% | 21 Apr → | ||
| 13–10 | 0.01 | 36% | 20 Apr → | ||
| 9–0 | 0.00 | 29% | 20 Apr → | ||
| 1–13 | -0.01 | 28% | 20 Apr → | ||
| 13–6 | 0.08 | 29% | 17 Apr → | ||
| 6–13 | -0.03 | 21% | 17 Apr → | ||
| 13–7 | 0.07 | 26% | 16 Apr → | ||
| 13–2 | 0.10 | 24% | 16 Apr → | ||
| 1–1 | -0.08 | 0% | 16 Apr → | ||
| 5–0 | 0.05 | 45% | 16 Apr → | ||
| 13–8 | 0.05 | 20% | 16 Apr → | ||
| 16–13 | 0.04 | 31% | 15 Apr → | ||
| 13–3 | 0.07 | 24% | 14 Apr → | ||
| 13–4 | 0.10 | 22% | 13 Apr → | ||
| 13–10 | 0.01 | 19% | 12 Apr → | ||
| 13–4 | 0.14 | 16% | 10 Apr → | ||
| 13–6 | 0.08 | 29% | 10 Apr → | ||
| 15–15 | 0.04 | 26% | 9 Apr → | ||
| 6–13 | -0.01 | 27% | 7 Apr → | ||
| 1–13 | 0.06 | 36% | 6 Apr → | ||
| 13–11 | 0.03 | 21% | 5 Apr → | ||
| 13–1 | 0.08 | 25% | 4 Apr → | ||
| 11–13 | 0.10 | 19% | 2 Apr → | ||
| 13–7 | 0.13 | 24% | 1 Apr → | ||
| 13–10 | 0.07 | 30% | 1 Apr → | ||
| 13–4 | 0.04 | 25% | 30 Mar → | ||
| 7–13 | -0.04 | 15% | 29 Mar → | ||
| 6–13 | -0.06 | 27% | 29 Mar → | ||
| 13–5 | 0.10 | 21% | 29 Mar → | ||
| 13–6 | 0.11 | 44% | 29 Mar → | ||
| 13–8 | 0.10 | 24% | 29 Mar → | ||
| 13–3 | 0.13 | 28% | 28 Mar → | ||
| 13–11 | 0.01 | 20% | 23 Mar → | ||
| 8–13 | 0.01 | 20% | 21 Mar → | ||
| 13–2 | 0.14 | 23% | 21 Mar → | ||
| 10–13 | 0.02 | 22% | 19 Mar → | ||
| 5–13 | 0.01 | 39% | 16 Mar → | ||
| 13–2 | 0.00 | 33% | 14 Mar → | ||
| 13–10 | 0.11 | 25% | 11 Mar → | ||
| 10–13 | 0.01 | 21% | 9 Mar → | ||
| 14–16 | 0.01 | 20% | 9 Mar → | ||
| 13–6 | 0.05 | 16% | 6 Mar → | ||
| 13–10 | -0.01 | 17% | 6 Mar → | ||
| 7–13 | -0.01 | 41% | 28 Feb → | ||
| 13–9 | -0.02 | 18% | 28 Feb → | ||
| 7–13 | 0.01 | 22% | 28 Feb → | ||
| 13–7 | -0.02 | 22% | 27 Feb → | ||
| 13–6 | 0.07 | 19% | 27 Feb → | ||
| 14–16 | -0.03 | 20% | 27 Feb → | ||
| 2–13 | -0.06 | 11% | 21 Feb → | ||
| 5–13 | -0.03 | 20% | 21 Feb → | ||
| 13–7 | 0.02 | 26% | 21 Feb → | ||
| 2–13 | -0.06 | 11% | 21 Feb → | ||
| 5–13 | -0.03 | 20% | 21 Feb → | ||
| 13–7 | 0.02 | 26% | 21 Feb → | ||
| 13–1 | 0.08 | 13% | 20 Feb → | ||
| 13–0 | 0.09 | 23% | 20 Feb → | ||
| 13–11 | 0.01 | 27% | 20 Feb → | ||
| 13–6 | -0.03 | 19% | 18 Feb → | ||
| 10–13 | -0.06 | 20% | 14 Feb → | ||
| 2–13 | -0.04 | 30% | 14 Feb → | ||
| 6–13 | -0.07 | 23% | 9 Feb → |
Match data via Leetify.