rleao — CS2 Stats
76561198340502925[U:1:380237197]
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 | 49.7% | 52.8% |
| Shot accuracy | 12.6% | 13.7% |
| Kill/death ratio | 1.14 | 1.08 |
| Match win rate | 51.7% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerEffective flashes
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 device 90% playstyle similarity
Most alike: positioning profile, 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
T-side openings. Opening success drops from 58% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 574ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 6.2/10 (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 |
|---|---|---|---|---|---|
| S | 25 | 17–8 | 68% | 0.00 | |
| A | 22 | 13–9 | 59% | 0.01 | |
| C | 19 | 8–11 | 42% | -0.00 | |
| S | 17 | 11–6 | 65% | 0.01 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| — | 3 | 2–1 | 67% | 0.04 | |
| — | 1 | 1–0 | 100% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.11 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (42% over 19). 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 677 | 58% | 1.22 | 17.9 |
| Mirage | 641 | 52% | 1.18 | 17.3 |
| Dust2 | 464 | 52% | 1.15 | 17.2 |
| Anubis | 400 | 54% | 1.14 | 17.3 |
| Inferno | 337 | 55% | 1.20 | 17.7 |
| Overpass | 102 | 58% | 1.29 | 17.9 |
| Vertigo | 72 | 38% | 1.24 | 17.1 |
| Nuke | 47 | 49% | 1.15 | 18.0 |
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.
42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.02 | 28% | 13 Mar → | ||
| 16–14 | 0.03 | 23% | 10 Mar → | ||
| 7–13 | 0.05 | 13% | 5 Mar → | ||
| 11–13 | 0.04 | 25% | 28 Feb → | ||
| 11–13 | 0.00 | 18% | 26 Feb → | ||
| 13–8 | -0.04 | 19% | 20 Feb → | ||
| 13–6 | 0.05 | 15% | 15 Feb → | ||
| 13–16 | 0.02 | 23% | 14 Feb → | ||
| 11–13 | -0.00 | 15% | 14 Feb → | ||
| 13–11 | 0.02 | 31% | 14 Feb → | ||
| 13–7 | -0.00 | 16% | 4 Feb → | ||
| 19–17 | 0.05 | 26% | 25 Jan → | ||
| 13–7 | 0.02 | 25% | 12 Dec → | ||
| 12–16 | 0.00 | 24% | 7 Dec → | ||
| 9–13 | 0.00 | 19% | 30 Nov → | ||
| 13–10 | -0.03 | 26% | 28 Nov → | ||
| 5–13 | -0.09 | 20% | 25 Nov → | ||
| 13–5 | 0.02 | 16% | 25 Nov → | ||
| 13–7 | 0.06 | 28% | 21 Nov → | ||
| 9–13 | -0.01 | 11% | 19 Nov → | ||
| 13–8 | 0.01 | 17% | 9 Nov → | ||
| 13–10 | -0.02 | 20% | 3 Nov → | ||
| 13–8 | 0.02 | 25% | 1 Nov → | ||
| 13–9 | 0.06 | 14% | 26 Oct → | ||
| 7–13 | -0.02 | 17% | 25 Oct → | ||
| 8–13 | 0.02 | 20% | 22 Oct → | ||
| 16–13 | -0.03 | 18% | 12 Oct → | ||
| 13–8 | 0.01 | 22% | 5 Oct → | ||
| 19–16 | 0.06 | 16% | 25 Sept → | ||
| 13–11 | -0.04 | 27% | 8 Sept → | ||
| 16–13 | 0.06 | 24% | 6 Sept → | ||
| 11–13 | -0.01 | 18% | 2 Sept → | ||
| 9–13 | -0.01 | 18% | 29 Aug → | ||
| 5–13 | -0.04 | 23% | 27 Aug → | ||
| 13–11 | 0.03 | 14% | 27 Aug → | ||
| 13–9 | -0.05 | 21% | 13 Aug → | ||
| 13–10 | -0.10 | 21% | 9 Jul → | ||
| 16–14 | 0.05 | 22% | 20 Jun → | ||
| 11–13 | -0.03 | 18% | 9 Jun → | ||
| 16–14 | -0.08 | 11% | 5 Jun → | ||
| 11–13 | 0.09 | 16% | 5 Jun → | ||
| 13–10 | 0.02 | 24% | 2 Jun → | ||
| 13–6 | 0.10 | 18% | 10 May → | ||
| 13–9 | -0.07 | 19% | 10 May → | ||
| 9–13 | -0.10 | 23% | 4 May → | ||
| 13–3 | 0.06 | 29% | 4 May → | ||
| 6–13 | -0.00 | 13% | 1 May → | ||
| 13–8 | 0.05 | 24% | 29 Apr → | ||
| 6–13 | 0.03 | 21% | 26 Apr → | ||
| 11–13 | 0.11 | 23% | 21 Apr → | ||
| 13–7 | -0.06 | 23% | 20 Apr → | ||
| 5–13 | -0.02 | 27% | 15 Apr → | ||
| 9–13 | 0.01 | 16% | 5 Apr → | ||
| 19–16 | 0.02 | 31% | 29 Mar → | ||
| 10–13 | -0.08 | 8% | 28 Mar → | ||
| 10–13 | 0.00 | 13% | 25 Mar → | ||
| 13–9 | 0.03 | 15% | 13 Mar → | ||
| 13–2 | 0.06 | 28% | 16 Feb → | ||
| 16–12 | 0.03 | 24% | 9 Feb → | ||
| 1–13 | -0.09 | 25% | 4 Feb → | ||
| 13–10 | 0.03 | 26% | 2 Feb → | ||
| 3–13 | -0.03 | 30% | 28 Jan → | ||
| 11–13 | 0.02 | 27% | 18 Jan → | ||
| 13–9 | -0.03 | 21% | 13 Jan → | ||
| 14–16 | -0.02 | 19% | 10 Jan → | ||
| 5–13 | -0.11 | 14% | 7 Jan → | ||
| 8–13 | 0.02 | 21% | 6 Jan → | ||
| 13–8 | -0.02 | 24% | 28 Dec → | ||
| 13–11 | 0.07 | 24% | 21 Dec → | ||
| 13–16 | -0.02 | 22% | 13 Dec → | ||
| 5–13 | -0.06 | 23% | 11 Dec → | ||
| 13–9 | 0.01 | 20% | 11 Dec → | ||
| 13–5 | 0.05 | 11% | 9 Dec → | ||
| 13–7 | 0.00 | 18% | 30 Nov → | ||
| 16–14 | 0.02 | 25% | 30 Nov → | ||
| 13–8 | 0.07 | 33% | 29 Nov → | ||
| 13–16 | -0.03 | 12% | 27 Nov → | ||
| 4–13 | 0.01 | 16% | 24 Nov → | ||
| 10–13 | -0.03 | 27% | 17 Nov → | ||
| 13–8 | 0.06 | 16% | 15 Nov → | ||
| 9–13 | 0.01 | 29% | 14 Nov → | ||
| 13–5 | 0.04 | 19% | 10 Nov → | ||
| 13–8 | 0.02 | 17% | 9 Nov → | ||
| 13–8 | -0.03 | 28% | 7 Nov → | ||
| 13–9 | -0.05 | 24% | 2 Nov → | ||
| 13–5 | 0.13 | 22% | 2 Nov → | ||
| 13–4 | 0.06 | 29% | 2 Nov → | ||
| 13–9 | 0.03 | 18% | 21 Oct → | ||
| 13–9 | -0.02 | 18% | 13 Oct → | ||
| 19–16 | -0.02 | 23% | 12 Oct → | ||
| 10–13 | 0.01 | 15% | 6 Oct → | ||
| 16–12 | 0.02 | 25% | 5 Oct → | ||
| 7–13 | -0.01 | 14% | 4 Oct → | ||
| 13–11 | -0.03 | 24% | 2 Oct → | ||
| 13–11 | -0.05 | 10% | 4 Sept → | ||
| 11–13 | -0.01 | 22% | 27 Aug → | ||
| 13–9 | -0.01 | 24% | 25 Aug → | ||
| 6–13 | -0.11 | 29% | 25 Aug → | ||
| 16–13 | -0.02 | 27% | 18 Aug → | ||
| 9–13 | 0.06 | 16% | 24 Jul → |
Match data via Leetify.