0laf — CS2 Stats
76561198389748597[U:1:429482869]
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 | 56.2% | 52.8% |
| Shot accuracy | 12.4% | 13.7% |
| Kill/death ratio | 0.82 | 1.08 |
| Match win rate | 44.6% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerStrong T-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 NiKo 95% playstyle similarity
Most alike: opening-duel success, positioning 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
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 32 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.
CT openings. Opening success drops from 45% on T to 30% on CT — first contacts on the defending side are being lost.
Reaction time. 567ms 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 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 |
|---|---|---|---|---|---|
 mirage | B | 26 | 14–12 | 54% | 0.00 |
 ancient | C | 23 | 9–14 | 39% | -0.01 |
 dust2 | S | 16 | 13–3 | 81% | -0.00 |
 inferno | B | 11 | 5–6 | 45% | -0.00 |
 anubis | D | 8 | 2–6 | 25% | -0.02 |
 nuke | S | 5 | 4–1 | 80% | 0.02 |
 train | A | 5 | 3–2 | 60% | -0.00 |
 cache | — | 3 | 2–1 | 67% | 0.00 |
 overpass | — | 3 | 1–2 | 33% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 740 | 51% | 1.10 | 15.7 |
| Ancient | 553 | 49% | 1.09 | 15.5 |
| Dust2 | 492 | 51% | 1.10 | 15.7 |
| Anubis | 489 | 52% | 1.18 | 16.1 |
| Inferno | 223 | 46% | 1.05 | 15.2 |
| Nuke | 162 | 49% | 1.12 | 16.5 |
| Vertigo | 143 | 47% | 1.09 | 16.0 |
| Train | 52 | 40% | 1.05 | 16.3 |
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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 29.8766% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 16–12 | 0.01 | 26% | 17 Aug → | |
| dust2 | 13–11 | -0.01 | 14% | 16 Aug → | |
| inferno | 13–5 | -0.00 | 19% | 7 Aug → | |
| ancient | 13–9 | -0.05 | 19% | 5 Aug → | |
| ancient | 13–7 | 0.04 | 29% | 5 Aug → | |
| mirage | 10–13 | -0.03 | 25% | 31 Jul → | |
| dust2 | 13–9 | 0.03 | 34% | 29 Jul → | |
| dust2 | 13–10 | 0.04 | 24% | 29 Jul → | |
| mirage | 16–14 | 0.03 | 20% | 13 Jul → | |
| anubis | 10–13 | -0.01 | 15% | 9 Jul → | |
| anubis | 5–13 | 0.03 | 27% | 5 Jul → | |
| inferno | 13–11 | -0.03 | 33% | 30 Jun → | |
| anubis | 4–13 | -0.09 | 13% | 28 Jun → | |
| anubis | 7–13 | -0.04 | 27% | 19 Jun → | |
| mirage | 13–8 | 0.03 | 25% | 4 Jun → | |
| mirage | 13–11 | -0.01 | 26% | 1 Jun → | |
| mirage | 7–13 | -0.05 | 19% | 1 Jun → | |
| nuke | 13–8 | 0.10 | 31% | 26 May → | |
| ancient | 13–6 | 0.07 | 25% | 25 May → | |
| ancient | 6–13 | 0.02 | 28% | 25 May → | |
| anubis | 7–13 | -0.01 | 25% | 25 May → | |
| cache | 13–5 | -0.03 | 33% | 11 May → | |
| cache | 13–11 | 0.01 | 25% | 29 Apr → | |
| ancient | 13–11 | -0.00 | 18% | 29 Apr → | |
| ancient | 10–13 | 0.02 | 31% | 28 Apr → | |
| mirage | 10–13 | 0.03 | 36% | 28 Apr → | |
| mirage | 13–2 | 0.03 | 23% | 27 Apr → | |
| cache | 12–16 | 0.03 | 38% | 27 Apr → | |
| ancient | 13–16 | 0.02 | 22% | 24 Apr → | |
| ancient | 16–19 | -0.03 | 22% | 22 Apr → | |
| anubis | 13–10 | 0.00 | 29% | 22 Apr → | |
| mirage | 13–10 | 0.07 | 39% | 20 Apr → | |
| dust2 | 4–13 | -0.02 | 24% | 16 Apr → | |
| nuke | 16–14 | -0.02 | 22% | 16 Apr → | |
| ancient | 11–13 | -0.05 | 16% | 11 Apr → | |
| dust2 | 13–9 | -0.01 | 22% | 21 Mar → | |
| mirage | 7–13 | -0.04 | 38% | 4 Mar → | |
| dust2 | 13–3 | 0.02 | 25% | 4 Mar → | |
| mirage | 13–2 | -0.00 | 24% | 4 Mar → | |
| inferno | 13–8 | 0.03 | 33% | 3 Mar → | |
| ancient | 3–13 | -0.06 | 38% | 3 Mar → | |
| ancient | 6–13 | -0.02 | 30% | 19 Feb → | |
| mirage | 13–4 | 0.08 | 29% | 18 Feb → | |
| mirage | 8–13 | -0.08 | 19% | 8 Feb → | |
| inferno | 7–13 | 0.01 | 30% | 7 Feb → | |
| nuke | 19–16 | 0.02 | 18% | 5 Feb → | |
| ancient | 11–13 | -0.00 | 23% | 3 Feb → | |
| dust2 | 16–14 | -0.01 | 14% | 3 Feb → | |
| inferno | 10–13 | -0.01 | 33% | 2 Feb → | |
| anubis | 14–16 | -0.05 | 24% | 27 Jan → | |
| mirage | 13–6 | 0.03 | 29% | 22 Jan → | |
| dust2 | 13–6 | -0.02 | 27% | 15 Jan → | |
| anubis | 13–11 | 0.00 | 18% | 14 Jan → | |
| mirage | 5–13 | -0.05 | 29% | 11 Jan → | |
| ancient | 11–13 | -0.02 | 27% | 7 Jan → | |
| mirage | 13–4 | 0.04 | 38% | 5 Jan → | |
| inferno | 10–13 | -0.04 | 35% | 4 Jan → | |
| ancient | 17–19 | -0.03 | 13% | 2 Jan → | |
| train | 13–11 | -0.01 | 23% | 2 Jan → | |
| inferno | 19–16 | 0.02 | 22% | 30 Dec → | |
| mirage | 13–10 | 0.05 | 36% | 22 Dec → | |
| ancient | 11–13 | -0.03 | 35% | 22 Dec → | |
| mirage | 6–13 | 0.05 | 22% | 20 Dec → | |
| dust2 | 13–10 | -0.03 | 17% | 19 Dec → | |
| inferno | 13–9 | -0.02 | 18% | 16 Dec → | |
| dust2 | 16–13 | -0.08 | 21% | 15 Dec → | |
| train | 2–13 | 0.03 | 42% | 14 Dec → | |
| nuke | 9–13 | -0.03 | 25% | 13 Dec → | |
| inferno | 11–13 | 0.01 | 27% | 12 Dec → | |
| mirage | 9–13 | -0.02 | 23% | 10 Dec → | |
| nuke | 13–5 | 0.04 | 19% | 8 Dec → | |
| mirage | 4–13 | -0.04 | 14% | 5 Dec → | |
| mirage | 5–13 | -0.07 | 30% | 5 Dec → | |
| ancient | 16–12 | 0.03 | 24% | 28 Nov → | |
| dust2 | 13–10 | 0.05 | 27% | 16 Nov → | |
| dust2 | 7–13 | -0.03 | 23% | 10 Nov → | |
| inferno | 4–13 | 0.02 | 33% | 27 Oct → | |
| mirage | 13–10 | 0.06 | 25% | 26 Oct → | |
| ancient | 6–13 | -0.05 | 23% | 12 Sept → | |
| mirage | 13–11 | 0.01 | 25% | 2 Sept → | |
| overpass | 8–13 | -0.02 | 25% | 25 Aug → | |
| train | 13–10 | 0.03 | 30% | 25 Aug → | |
| dust2 | 13–6 | 0.07 | 23% | 25 Aug → | |
| train | 9–13 | -0.06 | 29% | 25 Aug → | |
| ancient | 13–11 | 0.03 | 30% | 22 Aug → | |
| overpass | 13–8 | -0.03 | 26% | 21 Aug → | |
| ancient | 13–9 | 0.02 | 18% | 20 Aug → | |
| inferno | 11–13 | 0.01 | 20% | 18 Aug → | |
| mirage | 13–7 | -0.01 | 24% | 16 Aug → | |
| mirage | 11–13 | 0.01 | 30% | 16 Aug → | |
| dust2 | 13–8 | 0.00 | 24% | 15 Aug → | |
| ancient | 16–13 | 0.03 | 14% | 12 Aug → | |
| overpass | 3–13 | -0.06 | 22% | 10 Aug → | |
| train | 13–10 | 0.00 | 35% | 10 Aug → | |
| ancient | 12–16 | -0.03 | 20% | 9 Aug → | |
| mirage | 6–13 | -0.07 | 24% | 4 Aug → | |
| dust2 | 8–13 | -0.04 | 18% | 23 Jul → | |
| ancient | 1–13 | -0.09 | 11% | 22 Jul → | |
| dust2 | 13–10 | 0.01 | 21% | 17 Jul → | |
| ancient | 13–11 | 0.04 | 17% | 16 Jul → |
Match data via Leetify.