R0n1n — CS2 Stats
LV76561199817936173[U:1:1857670445]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 33.9% | 40.1% | 41.7% | 7.8% short |
| Shot accuracy | 0.0% | 7.6% | 8.8% | 8.8% short |
| Kill/death ratio | 1.09 | 0.92 | 0.97 | above |
| Match win rate | 25.3% | 42.2% | 43.8% | 18.5% short |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Blue band 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: -10pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 b1t 84% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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 52% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 736ms 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 4.9/10 (Developing), 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 | B | 25 | 13–12 | 52% | -0.00 |
 mirage | C | 23 | 9–14 | 39% | -0.00 |
 nuke | C | 18 | 8–10 | 44% | -0.01 |
 inferno | C | 13 | 5–8 | 38% | -0.02 |
 ancient | B | 10 | 5–5 | 50% | 0.00 |
 overpass | C | 5 | 2–3 | 40% | -0.01 |
 anubis | — | 3 | 2–1 | 67% | -0.01 |
| italy | — | 1 | 1–0 | 100% | -0.06 |
| office | — | 1 | 0–1 | 0% | 0.02 |
 train | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno 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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 5 | 60% | 0.88 | 14.0 |
| Inferno | 2 | 50% | 0.90 | 14.5 |
| Anubis | 1 | 100% | 1.75 | 14.0 |
| Nuke | 1 | 0% | 0.73 | 11.0 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.9341% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 736.4489ms — above the 700ms mark we flag
- 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 32.0992% — 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.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–11 | 0.02 | 14% | 14 Apr → | |
| dust2 | 11–13 | -0.02 | 20% | 9 Apr → | |
| inferno | 13–7 | 0.01 | 25% | 7 Apr → | |
| dust2 | 13–9 | -0.01 | 10% | 6 Apr → | |
| mirage | 12–12 | 0.03 | 9% | 6 Apr → | |
| nuke | 13–0 | 0.06 | 10% | 6 Apr → | |
| ancient | 13–8 | -0.02 | 18% | 6 Apr → | |
| dust2 | 13–8 | 0.01 | 7% | 6 Apr → | |
| nuke | 1–7 | -0.02 | 17% | 6 Apr → | |
| inferno | 6–9 | -0.10 | 4% | 4 Apr → | |
| ancient | 13–8 | -0.02 | 10% | 29 Mar → | |
| inferno | 9–3 | -0.04 | 19% | 29 Mar → | |
| inferno | 7–9 | -0.02 | 26% | 29 Mar → | |
| dust2 | 13–9 | 0.01 | 17% | 27 Mar → | |
| mirage | 13–11 | -0.02 | 7% | 27 Mar → | |
| dust2 | 13–4 | -0.07 | 10% | 27 Mar → | |
| nuke | 5–13 | 0.06 | 19% | 26 Mar → | |
| mirage | 6–13 | -0.01 | 15% | 24 Mar → | |
| mirage | 13–9 | -0.04 | 10% | 24 Mar → | |
| anubis | 13–9 | -0.02 | 16% | 22 Mar → | |
| italy | 13–7 | -0.06 | 6% | 22 Mar → | |
| mirage | 13–1 | 0.05 | 15% | 22 Mar → | |
| dust2 | 13–11 | 0.01 | 13% | 22 Mar → | |
| mirage | 11–13 | -0.08 | 23% | 20 Mar → | |
| mirage | 13–9 | -0.03 | 15% | 18 Mar → | |
| inferno | 13–4 | -0.02 | 19% | 18 Mar → | |
| dust2 | 13–6 | 0.01 | 14% | 18 Mar → | |
| mirage | 12–12 | 0.01 | 5% | 15 Mar → | |
| dust2 | 11–13 | 0.02 | 15% | 15 Mar → | |
| mirage | 13–5 | -0.06 | 5% | 15 Mar → | |
| dust2 | 13–8 | -0.02 | 22% | 13 Mar → | |
| mirage | 5–13 | -0.04 | 13% | 13 Mar → | |
| dust2 | 13–5 | 0.07 | 19% | 13 Mar → | |
| mirage | 7–13 | 0.00 | 7% | 11 Mar → | |
| mirage | 1–13 | 0.02 | 67% | 9 Mar → | |
| dust2 | 13–2 | 0.08 | 20% | 7 Mar → | |
| mirage | 5–13 | 0.02 | 25% | 5 Mar → | |
| mirage | 11–13 | 0.03 | 14% | 3 Mar → | |
| mirage | 7–13 | -0.06 | 6% | 1 Mar → | |
| office | 4–13 | 0.02 | 15% | 1 Mar → | |
| dust2 | 4–13 | -0.10 | 19% | 1 Mar → | |
| mirage | 8–13 | 0.04 | 24% | 1 Mar → | |
| dust2 | 13–4 | 0.15 | 7% | 28 Feb → | |
| nuke | 13–5 | -0.03 | 11% | 21 Feb → | |
| nuke | 4–13 | -0.00 | 14% | 21 Feb → | |
| nuke | 4–13 | -0.03 | 27% | 21 Feb → | |
| nuke | 13–11 | -0.05 | 9% | 20 Feb → | |
| dust2 | 13–7 | 0.06 | 13% | 15 Feb → | |
| nuke | 15–15 | 0.04 | 6% | 10 Feb → | |
| dust2 | 13–8 | -0.02 | 13% | 8 Feb → | |
| ancient | 10–13 | -0.06 | 10% | 6 Feb → | |
| inferno | 11–13 | -0.05 | 7% | 1 Feb → | |
| overpass | 11–13 | 0.01 | 14% | 31 Jan → | |
| inferno | 11–13 | -0.03 | 8% | 30 Jan → | |
| nuke | 6–13 | -0.05 | 4% | 30 Jan → | |
| ancient | 3–13 | -0.06 | 7% | 30 Jan → | |
| ancient | 10–13 | 0.06 | 7% | 30 Jan → | |
| dust2 | 5–13 | -0.06 | 14% | 28 Jan → | |
| ancient | 2–13 | 0.03 | 11% | 28 Jan → | |
| ancient | 13–10 | 0.01 | 12% | 26 Jan → | |
| anubis | 6–13 | -0.00 | 8% | 23 Jan → | |
| dust2 | 14–16 | -0.03 | 7% | 23 Jan → | |
| nuke | 13–6 | 0.07 | 7% | 22 Jan → | |
| mirage | 8–13 | -0.06 | 9% | 22 Jan → | |
| anubis | 13–7 | -0.01 | 13% | 22 Jan → | |
| nuke | 15–15 | -0.01 | 10% | 22 Jan → | |
| nuke | 7–13 | -0.02 | 13% | 21 Jan → | |
| dust2 | 8–13 | 0.05 | 14% | 19 Jan → | |
| overpass | 8–13 | -0.08 | 5% | 19 Jan → | |
| mirage | 13–5 | 0.04 | 7% | 19 Jan → | |
| mirage | 13–7 | 0.05 | 14% | 19 Jan → | |
| nuke | 3–13 | -0.06 | 22% | 17 Jan → | |
| nuke | 16–13 | -0.03 | 5% | 17 Jan → | |
| mirage | 13–7 | 0.05 | 13% | 17 Jan → | |
| nuke | 13–11 | -0.02 | 8% | 17 Jan → | |
| dust2 | 9–13 | -0.04 | 10% | 17 Jan → | |
| nuke | 16–14 | -0.01 | 12% | 17 Jan → | |
| inferno | 9–13 | -0.01 | 7% | 16 Jan → | |
| ancient | 13–2 | 0.10 | 17% | 16 Jan → | |
| inferno | 14–16 | 0.11 | 10% | 16 Jan → | |
| dust2 | 4–13 | -0.05 | 15% | 14 Jan → | |
| mirage | 15–15 | 0.03 | 6% | 11 Jan → | |
| inferno | 2–13 | -0.10 | 8% | 11 Jan → | |
| ancient | 8–13 | 0.04 | 14% | 11 Jan → | |
| overpass | 13–10 | 0.03 | 19% | 11 Jan → | |
| train | 5–13 | -0.06 | 7% | 6 Jan → | |
| overpass | 13–3 | 0.01 | 2% | 6 Jan → | |
| mirage | 13–6 | -0.05 | 26% | 4 Jan → | |
| dust2 | 9–13 | -0.02 | 23% | 3 Jan → | |
| overpass | 2–13 | -0.02 | 7% | 2 Jan → | |
| mirage | 7–13 | -0.04 | 18% | 2 Jan → | |
| nuke | 13–4 | -0.08 | 13% | 2 Jan → | |
| inferno | 5–13 | -0.03 | 7% | 2 Jan → | |
| inferno | 13–11 | -0.02 | 8% | 2 Jan → | |
| dust2 | 2–13 | -0.02 | 8% | 1 Jan → | |
| dust2 | 6–13 | 0.02 | 17% | 31 Dec → | |
| inferno | 9–2 | -0.01 | 5% | 30 Dec → | |
| ancient | 13–9 | -0.02 | 12% | 30 Dec → | |
| nuke | 8–13 | -0.03 | 12% | 29 Dec → | |
| dust2 | 8–13 | -0.04 | 19% | 29 Dec → |
Match data via Leetify.
