LaroKc — CS2 Stats
PT76561198190981597[U:1:230715869]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 |
|---|---|---|
| Headshot rate | 51.7% | 52.8% |
| Shot accuracy | 14.4% | 13.7% |
| Kill/death ratio | 1.31 | 1.08 |
| Match win rate | 51.6% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 jL 97% 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 91 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 19 | 9–10 | 47% | 0.07 |
 inferno | B | 18 | 9–9 | 50% | 0.03 |
 dust2 | C | 17 | 6–11 | 35% | 0.03 |
 ancient | D | 15 | 5–10 | 33% | 0.06 |
 nuke | C | 15 | 6–9 | 40% | 0.06 |
 anubis | B | 8 | 4–4 | 50% | 0.07 |
 overpass | D | 5 | 1–4 | 20% | 0.07 |
 train | — | 2 | 2–0 | 100% | 0.11 |
 cache | — | 1 | 1–0 | 100% | 0.17 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 327 | 57% | 1.35 | 17.9 |
| Ancient | 309 | 50% | 1.26 | 17.5 |
| Anubis | 304 | 52% | 1.29 | 16.9 |
| Mirage | 267 | 49% | 1.31 | 17.9 |
| Dust2 | 234 | 52% | 1.31 | 17.3 |
| Nuke | 154 | 49% | 1.31 | 17.6 |
| Overpass | 26 | 46% | 1.33 | 17.7 |
| Train | 22 | 36% | 1.22 | 16.9 |
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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 11–13 | 0.10 | 22% | 9 Aug → | |
| nuke | 7–13 | 0.10 | 30% | 28 Jul → | |
| mirage | 6–13 | 0.03 | 18% | 27 Jul → | |
| dust2 | 5–13 | 0.01 | 26% | 20 Jul → | |
| ancient | 16–14 | 0.10 | 36% | 20 Jul → | |
| ancient | 5–13 | -0.01 | 32% | 16 Jul → | |
| inferno | 13–6 | 0.11 | 30% | 12 Jul → | |
| cache | 13–6 | 0.17 | 25% | 10 Jul → | |
| inferno | 13–11 | 0.01 | 25% | 9 Jul → | |
| nuke | 10–13 | 0.10 | 42% | 27 Jun → | |
| anubis | 5–13 | 0.07 | 40% | 27 Jun → | |
| nuke | 13–6 | 0.15 | 24% | 25 Jun → | |
| ancient | 4–13 | 0.01 | 34% | 25 Jun → | |
| dust2 | 6–13 | -0.03 | 30% | 25 Jun → | |
| dust2 | 13–11 | -0.02 | 25% | 19 Jun → | |
| ancient | 8–13 | 0.05 | 25% | 5 Jun → | |
| dust2 | 13–8 | 0.01 | 28% | 5 Jun → | |
| nuke | 13–10 | 0.09 | 27% | 5 Jun → | |
| nuke | 10–13 | -0.01 | 33% | 2 Jun → | |
| inferno | 3–13 | -0.05 | 50% | 12 May → | |
| inferno | 11–13 | -0.00 | 20% | 7 May → | |
| nuke | 19–22 | 0.00 | 30% | 7 May → | |
| nuke | 8–13 | 0.01 | 22% | 6 May → | |
| nuke | 13–2 | 0.08 | 26% | 1 May → | |
| anubis | 13–6 | 0.09 | 22% | 27 Apr → | |
| inferno | 11–13 | -0.05 | 32% | 27 Apr → | |
| dust2 | 7–13 | -0.03 | 35% | 27 Apr → | |
| inferno | 10–13 | 0.03 | 22% | 26 Apr → | |
| mirage | 13–11 | 0.07 | 18% | 26 Apr → | |
| dust2 | 7–13 | 0.03 | 20% | 24 Apr → | |
| dust2 | 6–13 | 0.04 | 26% | 23 Apr → | |
| anubis | 13–6 | 0.01 | 15% | 22 Apr → | |
| dust2 | 22–19 | 0.06 | 20% | 21 Apr → | |
| dust2 | 11–13 | 0.06 | 24% | 19 Apr → | |
| dust2 | 13–5 | 0.15 | 24% | 16 Apr → | |
| ancient | 7–13 | -0.02 | 14% | 16 Apr → | |
| nuke | 13–9 | -0.01 | 31% | 16 Apr → | |
| dust2 | 13–10 | 0.05 | 20% | 16 Apr → | |
| mirage | 5–13 | -0.05 | 17% | 16 Apr → | |
| inferno | 13–8 | 0.00 | 19% | 15 Apr → | |
| mirage | 13–5 | 0.15 | 20% | 15 Apr → | |
| mirage | 13–6 | -0.02 | 12% | 15 Apr → | |
| inferno | 6–13 | -0.06 | 24% | 3 Apr → | |
| inferno | 13–10 | 0.03 | 21% | 3 Apr → | |
| anubis | 10–13 | 0.08 | 16% | 17 Mar → | |
| mirage | 13–6 | 0.06 | 16% | 12 Mar → | |
| mirage | 8–13 | 0.02 | 25% | 11 Mar → | |
| dust2 | 6–13 | 0.04 | 28% | 11 Mar → | |
| dust2 | 11–13 | -0.02 | 33% | 1 Mar → | |
| mirage | 13–4 | 0.11 | 18% | 25 Feb → | |
| inferno | 16–14 | 0.11 | 41% | 25 Feb → | |
| ancient | 6–13 | -0.00 | 29% | 25 Feb → | |
| anubis | 13–5 | 0.23 | 32% | 25 Feb → | |
| anubis | 1–13 | -0.03 | 13% | 19 Feb → | |
| inferno | 10–13 | 0.02 | 30% | 16 Feb → | |
| ancient | 8–13 | 0.02 | 13% | 15 Feb → | |
| nuke | 2–13 | 0.06 | 22% | 27 Jan → | |
| mirage | 5–12 | 0.07 | 13% | 24 Jan → | |
| inferno | 13–5 | 0.09 | 38% | 24 Jan → | |
| nuke | 14–16 | 0.01 | 20% | 23 Jan → | |
| inferno | 7–13 | 0.16 | 36% | 23 Jan → | |
| ancient | 6–0 | 0.06 | 37% | 23 Jan → | |
| anubis | 4–13 | -0.03 | 23% | 23 Jan → | |
| anubis | 13–5 | 0.14 | 20% | 22 Jan → | |
| train | 13–5 | 0.09 | 31% | 20 Jan → | |
| mirage | 13–5 | 0.14 | 33% | 19 Jan → | |
| inferno | 13–8 | 0.10 | 35% | 18 Jan → | |
| overpass | 16–13 | 0.06 | 24% | 18 Jan → | |
| overpass | 14–16 | 0.08 | 17% | 12 Jan → | |
| mirage | 10–13 | 0.00 | 38% | 12 Jan → | |
| ancient | 13–7 | 0.09 | 15% | 8 Jan → | |
| mirage | 13–4 | 0.07 | 30% | 7 Jan → | |
| overpass | 7–13 | 0.09 | 25% | 6 Jan → | |
| ancient | 11–13 | 0.11 | 18% | 5 Jan → | |
| dust2 | 13–11 | 0.10 | 29% | 4 Jan → | |
| mirage | 8–13 | 0.01 | 26% | 4 Jan → | |
| inferno | 13–9 | 0.11 | 26% | 3 Jan → | |
| ancient | 13–8 | 0.12 | 38% | 3 Jan → | |
| train | 13–9 | 0.14 | 31% | 2 Jan → | |
| mirage | 4–10 | 0.04 | 30% | 2 Jan → | |
| mirage | 13–9 | 0.24 | 22% | 28 Dec → | |
| nuke | 9–13 | 0.03 | 19% | 27 Dec → | |
| nuke | 13–8 | 0.10 | 19% | 22 Dec → | |
| ancient | 13–6 | 0.09 | 19% | 22 Dec → | |
| mirage | 5–13 | 0.06 | 29% | 22 Dec → | |
| ancient | 7–13 | 0.07 | 21% | 21 Dec → | |
| mirage | 6–13 | 0.10 | 16% | 20 Dec → | |
| nuke | 11–13 | 0.03 | 16% | 20 Dec → | |
| mirage | 13–5 | 0.08 | 17% | 15 Dec → | |
| overpass | 12–16 | 0.07 | 34% | 14 Dec → | |
| inferno | 5–13 | 0.01 | 11% | 14 Dec → | |
| dust2 | 17–19 | 0.02 | 32% | 2 Dec → | |
| mirage | 13–16 | 0.12 | 28% | 19 Nov → | |
| ancient | 10–13 | 0.06 | 23% | 15 Nov → | |
| inferno | 13–7 | 0.02 | 28% | 15 Nov → | |
| dust2 | 9–13 | 0.13 | 20% | 14 Nov → | |
| inferno | 4–13 | -0.02 | 32% | 14 Nov → | |
| nuke | 13–8 | 0.14 | 32% | 10 Nov → | |
| overpass | 12–12 | 0.06 | 21% | 1 Nov → | |
| dust2 | 5–13 | -0.03 | 24% | 25 Oct → |
Match data via Leetify.
