LeRo- — CS2 Stats
RU76561198212860129[U:1:252594401]Steam profile ↗✓ No bans
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 51.6% | 52.8% | 1.2% short |
| Shot accuracy | 8.5% | 13.7% | 5.2% short |
| Kill/death ratio | 0.94 | 1.08 | 0.14 short |
| Match win rate | 44.5% | 49.2% | 4.7% short |
This profile sits below the typical Level 10 player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 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: +20pp win rate · +0.06 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong 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 92% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 59% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 591ms 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 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
 dust2 | D | 38 | 12–26 | 32% | 0.01 |
 cache | B | 20 | 10–10 | 50% | 0.01 |
 train | B | 13 | 7–6 | 54% | 0.02 |
 mirage | C | 11 | 4–7 | 36% | -0.01 |
 nuke | A | 7 | 4–3 | 57% | 0.01 |
 anubis | — | 4 | 2–2 | 50% | -0.01 |
 vertigo | — | 3 | 1–2 | 33% | -0.01 |
 inferno | — | 2 | 0–2 | 0% | -0.04 |
| shelter | — | 1 | 1–0 | 100% | 0.12 |
 overpass | — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (32% over 38). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 220 | 50% | 1.07 | 16.6 |
| Mirage | 205 | 48% | 1.00 | 15.1 |
| Anubis | 93 | 41% | 1.06 | 16.5 |
| Nuke | 76 | 55% | 1.20 | 17.6 |
| Cache | 37 | 57% | 1.31 | 17.4 |
| Inferno | 30 | 60% | 1.06 | 16.1 |
| Ancient | 18 | 61% | 1.10 | 16.9 |
| Overpass | 12 | 50% | 1.05 | 16.4 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
32% win rate across 38 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| shelter | 13–3 | 0.12 | 23% | 28 Aug → | |
| dust2 | 6–0 | 0.29 | 24% | 25 Aug → | |
| dust2 | 13–4 | 0.23 | 27% | 19 Aug → | |
| mirage | 7–13 | 0.02 | 10% | 19 Aug → | |
| train | 13–5 | 0.09 | 30% | 19 Aug → | |
| cache | 13–8 | -0.03 | 24% | 19 Aug → | |
| nuke | 0–13 | -0.05 | 38% | 16 Aug → | |
| train | 13–10 | 0.05 | 33% | 14 Aug → | |
| cache | 11–13 | 0.04 | 15% | 13 Aug → | |
| cache | 10–13 | 0.01 | 12% | 12 Aug → | |
| dust2 | 13–3 | 0.02 | 12% | 10 Aug → | |
| dust2 | 9–13 | 0.00 | 20% | 9 Aug → | |
| dust2 | 3–13 | -0.02 | 33% | 8 Aug → | |
| dust2 | 13–5 | -0.01 | 24% | 6 Aug → | |
| dust2 | 13–7 | 0.05 | 18% | 5 Aug → | |
| dust2 | 12–12 | 0.06 | 15% | 3 Aug → | |
| dust2 | 9–13 | 0.04 | 21% | 2 Aug → | |
| dust2 | 12–12 | 0.08 | 26% | 1 Aug → | |
| vertigo | 1–7 | -0.04 | 29% | 31 Jul → | |
| cache | 13–11 | -0.03 | 13% | 30 Jul → | |
| dust2 | 12–12 | 0.10 | 25% | 29 Jul → | |
| dust2 | 13–2 | -0.03 | 30% | 28 Jul → | |
| inferno | 7–13 | -0.04 | 20% | 27 Jul → | |
| train | 6–13 | -0.05 | 14% | 27 Jul → | |
| dust2 | 8–13 | -0.04 | 19% | 25 Jul → | |
| cache | 13–10 | 0.00 | 8% | 23 Jul → | |
| anubis | 6–13 | -0.02 | 15% | 23 Jul → | |
| anubis | 13–11 | -0.02 | 29% | 23 Jul → | |
| cache | 7–13 | -0.00 | 20% | 22 Jul → | |
| nuke | 6–13 | 0.02 | 20% | 22 Jul → | |
| nuke | 13–11 | 0.09 | 30% | 21 Jul → | |
| mirage | 12–12 | -0.04 | 12% | 20 Jul → | |
| nuke | 13–4 | -0.02 | 24% | 20 Jul → | |
| dust2 | 12–12 | 0.01 | 5% | 18 Jul → | |
| overpass | 13–8 | 0.06 | 24% | 15 Jul → | |
| dust2 | 13–8 | -0.00 | 21% | 15 Jul → | |
| dust2 | 11–13 | -0.00 | 25% | 15 Jul → | |
| dust2 | 13–9 | 0.13 | 13% | 15 Jul → | |
| dust2 | 3–13 | -0.03 | 25% | 14 Jul → | |
| cache | 1–13 | -0.10 | 8% | 14 Jul → | |
| nuke | 5–13 | 0.05 | 36% | 14 Jul → | |
| nuke | 13–11 | 0.01 | 22% | 12 Jul → | |
| mirage | 13–10 | 0.01 | 21% | 4 Jul → | |
| cache | 13–1 | 0.08 | 29% | 2 Jul → | |
| dust2 | 7–13 | -0.14 | 4% | 1 Jul → | |
| cache | 13–9 | 0.06 | 28% | 1 Jul → | |
| dust2 | 11–13 | -0.06 | 25% | 1 Jul → | |
| cache | 5–13 | -0.06 | 15% | 1 Jul → | |
| dust2 | 2–13 | -0.07 | 0% | 1 Jul → | |
| mirage | 11–13 | 0.05 | 22% | 1 Jul → | |
| dust2 | 1–13 | -0.10 | 50% | 1 Jul → | |
| dust2 | 0–13 | -0.00 | 0% | 1 Jul → | |
| cache | 7–13 | 0.02 | 26% | 29 Jun → | |
| mirage | 3–13 | -0.06 | 29% | 26 Jun → | |
| dust2 | 6–13 | -0.02 | 17% | 26 Jun → | |
| cache | 13–11 | -0.02 | 21% | 26 Jun → | |
| dust2 | 13–5 | -0.02 | 19% | 26 Jun → | |
| nuke | 13–9 | -0.02 | 9% | 25 Jun → | |
| mirage | 13–11 | 0.04 | 18% | 25 Jun → | |
| inferno | 1–13 | -0.04 | 4% | 25 Jun → | |
| dust2 | 6–13 | -0.03 | 11% | 25 Jun → | |
| cache | 8–13 | -0.06 | 14% | 25 Jun → | |
| mirage | 0–13 | -0.09 | 0% | 24 Jun → | |
| cache | 13–5 | 0.08 | 24% | 24 Jun → | |
| train | 6–0 | 0.06 | 21% | 24 Jun → | |
| mirage | 13–5 | -0.02 | 10% | 17 Jun → | |
| dust2 | 10–13 | 0.05 | 32% | 17 Jun → | |
| cache | 13–11 | 0.03 | 21% | 17 Jun → | |
| train | 6–13 | 0.06 | 23% | 17 Jun → | |
| train | 13–2 | 0.04 | 54% | 11 Jun → | |
| mirage | 6–13 | -0.02 | 14% | 10 Jun → | |
| dust2 | 4–13 | -0.02 | 28% | 10 Jun → | |
| cache | 9–13 | 0.12 | 23% | 10 Jun → | |
| train | 13–2 | -0.01 | 28% | 10 Jun → | |
| train | 12–12 | -0.03 | 14% | 5 Jun → | |
| anubis | 10–13 | -0.01 | 16% | 4 Jun → | |
| cache | 9–13 | -0.04 | 27% | 4 Jun → | |
| vertigo | 13–8 | 0.07 | 28% | 4 Jun → | |
| vertigo | 11–13 | -0.06 | 19% | 3 Jun → | |
| train | 6–13 | 0.00 | 24% | 3 Jun → | |
| mirage | 13–8 | -0.04 | 14% | 3 Jun → | |
| dust2 | 7–13 | -0.05 | 11% | 3 Jun → | |
| dust2 | 2–13 | -0.05 | 17% | 2 Jun → | |
| train | 13–7 | -0.06 | 25% | 2 Jun → | |
| dust2 | 8–13 | -0.09 | 24% | 1 Jun → | |
| train | 10–13 | 0.04 | 32% | 31 May → | |
| train | 13–10 | 0.08 | 27% | 30 May → | |
| dust2 | 13–11 | -0.05 | 23% | 29 May → | |
| anubis | 13–10 | -0.00 | 18% | 29 May → | |
| mirage | 11–13 | -0.03 | 25% | 29 May → | |
| dust2 | 1–2 | 0.06 | 80% | 29 May → | |
| dust2 | 0–7 | -0.07 | 50% | 29 May → | |
| cache | 13–8 | 0.03 | 20% | 29 May → | |
| cache | 13–7 | -0.03 | 26% | 28 May → | |
| dust2 | 12–12 | -0.03 | 30% | 28 May → | |
| dust2 | 13–9 | 0.04 | 40% | 27 May → | |
| train | 4–13 | -0.06 | 12% | 27 May → | |
| cache | 8–13 | 0.02 | 34% | 27 May → | |
| dust2 | 13–11 | 0.01 | 25% | 27 May → | |
| dust2 | 5–13 | -0.01 | 29% | 25 May → |
Match data via Leetify.