Ruth — CS2 Stats
76561198159655888[U:1:199390160]✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 30.1% | 42.1% | 42.5% | 12.4% short |
| Shot accuracy | 14.7% | 12.1% | 10.9% | above |
| Kill/death ratio | 0.73 | 0.99 | 0.99 | 0.27 short |
| Match win rate | 36.2% | 43.9% | 44.2% | 8.0% short |
This profile matches the typical Level 4 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 4 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 · +0.01 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Effective 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 NiKo 62% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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
Reaction time. 801ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 69% 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 3.0/10 (Learning), 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 | C | 32 | 13–19 | 41% | -0.04 |
 inferno | B | 20 | 10–10 | 50% | -0.03 |
 ancient | D | 13 | 3–10 | 23% | -0.03 |
 overpass | A | 12 | 7–5 | 58% | -0.04 |
 mirage | A | 12 | 7–5 | 58% | -0.04 |
 nuke | B | 6 | 3–3 | 50% | -0.03 |
 train | — | 4 | 1–3 | 25% | -0.06 |
 vertigo | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient 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 |
|---|---|---|---|---|
| Mirage | 1 | 100% | 1.08 | 13.0 |
| Overpass | 1 | 0% | 0.21 | 3.0 |
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.8369° — above the 12° mark we flag
- 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 9.0065% — 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 800.9028ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–9 | -0.07 | 9% | 10 Oct → | |
| overpass | 5–13 | -0.04 | 10% | 10 Oct → | |
| ancient | 10–13 | 0.05 | 5% | 10 Oct → | |
| dust2 | 11–13 | -0.08 | 13% | 9 Oct → | |
| mirage | 13–11 | -0.04 | 14% | 7 Oct → | |
| overpass | 13–5 | -0.02 | 2% | 7 Oct → | |
| ancient | 6–13 | -0.00 | 10% | 7 Oct → | |
| dust2 | 11–13 | -0.05 | 6% | 7 Oct → | |
| vertigo | 5–13 | 0.03 | 10% | 29 Sept → | |
| dust2 | 8–13 | -0.07 | 6% | 27 Sept → | |
| ancient | 5–13 | -0.10 | 6% | 27 Sept → | |
| ancient | 7–13 | -0.07 | 9% | 26 Sept → | |
| dust2 | 13–11 | -0.07 | 14% | 26 Sept → | |
| dust2 | 13–8 | 0.01 | 16% | 26 Sept → | |
| ancient | 5–13 | -0.04 | 7% | 25 Sept → | |
| overpass | 13–3 | 0.00 | 9% | 25 Sept → | |
| dust2 | 13–9 | -0.06 | 11% | 25 Sept → | |
| inferno | 11–13 | -0.00 | 10% | 25 Sept → | |
| inferno | 13–10 | 0.02 | 2% | 24 Sept → | |
| mirage | 9–13 | -0.05 | 6% | 24 Sept → | |
| mirage | 13–8 | -0.03 | 9% | 24 Sept → | |
| dust2 | 13–5 | -0.06 | 2% | 23 Sept → | |
| dust2 | 6–13 | -0.05 | 13% | 23 Sept → | |
| inferno | 13–11 | 0.03 | 17% | 23 Sept → | |
| nuke | 2–1 | 0.01 | 0% | 23 Sept → | |
| inferno | 10–13 | -0.06 | 8% | 22 Sept → | |
| mirage | 13–6 | -0.01 | 6% | 22 Sept → | |
| overpass | 13–10 | -0.00 | 7% | 22 Sept → | |
| inferno | 7–1 | 0.04 | 15% | 22 Sept → | |
| dust2 | 13–7 | -0.00 | 13% | 21 Sept → | |
| dust2 | 10–13 | -0.07 | 8% | 20 Sept → | |
| inferno | 13–5 | 0.02 | 10% | 20 Sept → | |
| dust2 | 13–5 | -0.03 | 7% | 20 Sept → | |
| overpass | 13–10 | 0.05 | 5% | 20 Sept → | |
| train | 7–13 | 0.01 | 7% | 20 Sept → | |
| overpass | 13–10 | -0.09 | 7% | 20 Sept → | |
| mirage | 13–6 | -0.03 | 0% | 20 Sept → | |
| overpass | 5–13 | -0.04 | 9% | 19 Sept → | |
| mirage | 3–13 | -0.08 | 18% | 19 Sept → | |
| dust2 | 8–13 | -0.05 | 7% | 18 Sept → | |
| dust2 | 13–9 | -0.09 | 8% | 18 Sept → | |
| mirage | 14–16 | -0.07 | 7% | 18 Sept → | |
| overpass | 9–13 | -0.05 | 10% | 18 Sept → | |
| mirage | 8–13 | -0.01 | 9% | 18 Sept → | |
| ancient | 13–6 | 0.01 | 8% | 17 Sept → | |
| dust2 | 15–15 | -0.01 | 5% | 17 Sept → | |
| dust2 | 16–12 | -0.02 | 3% | 16 Sept → | |
| nuke | 15–15 | -0.05 | 5% | 16 Sept → | |
| ancient | 13–4 | 0.05 | 6% | 16 Sept → | |
| overpass | 13–11 | -0.05 | 8% | 16 Sept → | |
| inferno | 4–13 | -0.06 | 4% | 14 Sept → | |
| ancient | 7–13 | -0.03 | 3% | 13 Sept → | |
| inferno | 13–16 | -0.05 | 3% | 13 Sept → | |
| train | 5–13 | -0.06 | 4% | 13 Sept → | |
| dust2 | 13–5 | -0.00 | 14% | 13 Sept → | |
| train | 13–9 | -0.07 | 5% | 13 Sept → | |
| mirage | 13–7 | -0.02 | 4% | 13 Sept → | |
| ancient | 10–13 | 0.00 | 2% | 13 Sept → | |
| inferno | 13–8 | -0.06 | 7% | 13 Sept → | |
| dust2 | 8–13 | -0.02 | 4% | 12 Sept → | |
| inferno | 13–4 | -0.05 | 12% | 12 Sept → | |
| inferno | 5–13 | -0.07 | 0% | 11 Sept → | |
| dust2 | 11–13 | 0.00 | 9% | 11 Sept → | |
| ancient | 9–13 | -0.07 | 1% | 11 Sept → | |
| dust2 | 3–13 | -0.04 | 6% | 11 Sept → | |
| inferno | 7–13 | -0.08 | 6% | 11 Sept → | |
| dust2 | 15–15 | -0.08 | 18% | 10 Sept → | |
| overpass | 4–13 | -0.06 | 18% | 10 Sept → | |
| dust2 | 10–13 | -0.06 | 3% | 9 Sept → | |
| overpass | 16–12 | -0.07 | 3% | 9 Sept → | |
| inferno | 13–9 | -0.08 | 2% | 9 Sept → | |
| ancient | 13–9 | -0.00 | 2% | 8 Sept → | |
| mirage | 8–13 | -0.06 | 7% | 8 Sept → | |
| overpass | 7–13 | -0.09 | 2% | 8 Sept → | |
| mirage | 13–8 | -0.06 | 4% | 7 Sept → | |
| dust2 | 13–9 | 0.01 | 13% | 6 Sept → | |
| nuke | 15–15 | -0.00 | 12% | 6 Sept → | |
| dust2 | 4–13 | -0.06 | 18% | 6 Sept → | |
| inferno | 2–13 | -0.10 | 20% | 6 Sept → | |
| ancient | 8–13 | -0.06 | 2% | 29 Aug → | |
| dust2 | 13–11 | -0.03 | 9% | 29 Aug → | |
| dust2 | 15–15 | -0.03 | 12% | 29 Aug → | |
| nuke | 15–15 | -0.02 | 10% | 28 Aug → | |
| inferno | 13–2 | 0.07 | 12% | 28 Aug → | |
| train | 10–13 | -0.11 | 7% | 28 Aug → | |
| inferno | 12–12 | -0.03 | 5% | 28 Aug → | |
| inferno | 8–13 | -0.08 | 15% | 27 Aug → | |
| inferno | 13–11 | -0.08 | 3% | 27 Aug → | |
| dust2 | 13–16 | -0.02 | 17% | 27 Aug → | |
| dust2 | 6–13 | -0.06 | 3% | 26 Aug → | |
| nuke | 13–10 | -0.04 | 5% | 23 Aug → | |
| ancient | 11–13 | -0.07 | 4% | 23 Aug → | |
| mirage | 13–11 | -0.01 | 8% | 23 Aug → | |
| dust2 | 1–13 | -0.05 | 6% | 14 Aug → | |
| dust2 | 13–8 | 0.02 | 3% | 13 Aug → | |
| inferno | 4–13 | -0.03 | 8% | 13 Aug → | |
| inferno | 13–10 | -0.03 | 9% | 25 May → | |
| dust2 | 13–16 | -0.01 | 9% | 24 May → | |
| dust2 | 7–0 | -0.00 | 23% | 18 May → | |
| dust2 | 5–13 | -0.03 | 11% | 17 May → |
Match data via Leetify.