R1ngSt3aLinG0L3mK1D_TTV — CS2 Stats
76561199148882054[U:1:1188616326]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 | 49.3% | 52.8% |
| Shot accuracy | 22.6% | 13.7% |
| Kill/death ratio | 1.34 | 1.08 |
| Match win rate | 33.6% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 91% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower utility contribution.
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 94 — the mechanical foundation is a clear strength.
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 7.8/10 (Strong), 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 | 35 | 26–9 | 74% | 0.06 | |
| S | 17 | 13–4 | 76% | 0.04 | |
| S | 12 | 12–0 | 100% | 0.06 | |
| S | 12 | 8–4 | 67% | 0.07 | |
| A | 11 | 6–5 | 55% | 0.06 | |
| S | 5 | 5–0 | 100% | 0.06 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.06 | |
| — | 1 | 1–0 | 100% | 0.04 | |
| — | 1 | 1–0 | 100% | 0.09 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (55% over 11). 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.
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4282 — below the 0.5 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.07 | 15% | 31 Jul → | ||
| 13–2 | 0.03 | 16% | 25 Jul → | ||
| 8–0 | -0.02 | 16% | 25 Jul → | ||
| 13–2 | 0.17 | 32% | 25 Jul → | ||
| 13–11 | 0.08 | 24% | 25 Jul → | ||
| 3–0 | -0.05 | 20% | 25 Jul → | ||
| 13–3 | 0.08 | 34% | 25 Jul → | ||
| 13–1 | 0.11 | 33% | 19 Jul → | ||
| 13–1 | 0.14 | 27% | 19 Jul → | ||
| 12–12 | 0.06 | 28% | 19 Jul → | ||
| 13–5 | 0.05 | 33% | 19 Jul → | ||
| 13–4 | 0.08 | 20% | 2 Jul → | ||
| 13–2 | 0.15 | 50% | 2 Jul → | ||
| 13–0 | 0.05 | 23% | 27 Jun → | ||
| 9–13 | 0.01 | 24% | 27 Jun → | ||
| 3–0 | 0.04 | 17% | 26 Jun → | ||
| 13–1 | 0.09 | 22% | 26 Jun → | ||
| 13–1 | 0.09 | 29% | 26 Jun → | ||
| 9–13 | 0.07 | 28% | 26 Jun → | ||
| 13–9 | 0.07 | 34% | 26 Jun → | ||
| 13–5 | 0.08 | 25% | 24 Jun → | ||
| 13–2 | 0.12 | 29% | 24 Jun → | ||
| 11–13 | 0.03 | 12% | 24 Jun → | ||
| 13–8 | 0.09 | 25% | 23 Jun → | ||
| 13–5 | 0.03 | 29% | 8 Oct → | ||
| 13–4 | 0.12 | 32% | 23 Aug → | ||
| 13–0 | 0.05 | 22% | 23 Aug → | ||
| 13–2 | 0.02 | 28% | 23 Aug → | ||
| 13–6 | 0.10 | 25% | 23 Aug → | ||
| 1–6 | -0.10 | 46% | 23 Aug → | ||
| 13–11 | 0.06 | 22% | 29 Jun → | ||
| 13–4 | 0.07 | 30% | 29 Jun → | ||
| 3–5 | -0.01 | 27% | 22 Mar → | ||
| 7–13 | 0.07 | 27% | 22 Mar → | ||
| 13–8 | 0.15 | 33% | 28 Feb → | ||
| 13–7 | 0.06 | 25% | 18 Feb → | ||
| 2–4 | 0.11 | 50% | 30 Nov → | ||
| 13–4 | 0.07 | 23% | 3 Oct → | ||
| 13–3 | 0.04 | 23% | 3 Oct → | ||
| 13–10 | 0.07 | 24% | 29 Jan → | ||
| 7–13 | -0.03 | 14% | 24 Jan → | ||
| 13–5 | 0.15 | 29% | 24 Jan → | ||
| 15–19 | 0.01 | 27% | 19 Jan → | ||
| 13–6 | 0.09 | 32% | 19 Jan → | ||
| 13–7 | 0.08 | 21% | 17 Jan → | ||
| 10–13 | 0.01 | 35% | 17 Jan → | ||
| 13–10 | 0.02 | 19% | 17 Jan → | ||
| 16–13 | 0.01 | 30% | 17 Jan → | ||
| 13–8 | -0.02 | 37% | 17 Jan → | ||
| 13–8 | 0.14 | 32% | 10 Jan → | ||
| 13–2 | 0.16 | 42% | 10 Jan → | ||
| 13–7 | 0.08 | 26% | 9 Jan → | ||
| 13–11 | 0.02 | 9% | 9 Jan → | ||
| 13–3 | 0.06 | 24% | 9 Jan → | ||
| 13–8 | 0.07 | 22% | 9 Jan → | ||
| 11–13 | 0.03 | 23% | 8 Jan → | ||
| 13–5 | -0.01 | 26% | 8 Jan → | ||
| 8–13 | 0.02 | 20% | 8 Jan → | ||
| 16–14 | 0.06 | 17% | 7 Jan → | ||
| 13–9 | -0.09 | 13% | 7 Jan → | ||
| 11–13 | 0.02 | 22% | 5 Jan → | ||
| 6–13 | 0.05 | 22% | 5 Jan → | ||
| 13–5 | 0.02 | 36% | 17 Dec → | ||
| 13–6 | 0.09 | 18% | 17 Dec → | ||
| 13–7 | 0.18 | 34% | 16 Dec → | ||
| 13–11 | 0.07 | 26% | 13 Dec → | ||
| 13–7 | 0.05 | 36% | 13 Dec → | ||
| 13–7 | 0.07 | 29% | 13 Dec → | ||
| 13–9 | 0.09 | 18% | 8 Dec → | ||
| 19–22 | 0.01 | 18% | 8 Dec → | ||
| 13–6 | -0.00 | 33% | 8 Dec → | ||
| 11–13 | 0.03 | 23% | 8 Dec → | ||
| 13–4 | 0.17 | 13% | 6 Dec → | ||
| 13–10 | 0.10 | 19% | 6 Dec → | ||
| 13–9 | 0.04 | 10% | 6 Dec → | ||
| 13–2 | 0.17 | 20% | 6 Dec → | ||
| 7–13 | 0.06 | 29% | 3 Dec → | ||
| 13–6 | 0.03 | 22% | 3 Dec → | ||
| 13–6 | -0.02 | 25% | 2 Dec → | ||
| 10–13 | 0.09 | 21% | 30 Nov → | ||
| 13–9 | 0.05 | 13% | 30 Nov → | ||
| 13–9 | 0.08 | 28% | 24 Nov → | ||
| 2–13 | -0.05 | 62% | 21 Nov → | ||
| 16–12 | 0.07 | 27% | 21 Nov → | ||
| 13–11 | 0.06 | 19% | 20 Nov → | ||
| 13–1 | 0.08 | 16% | 20 Nov → | ||
| 1–13 | -0.07 | 13% | 20 Nov → | ||
| 13–11 | 0.07 | 20% | 17 Nov → | ||
| 13–5 | 0.06 | 38% | 15 Nov → | ||
| 13–5 | 0.01 | 30% | 15 Nov → | ||
| 16–13 | -0.02 | 30% | 14 Nov → | ||
| 13–1 | 0.22 | 49% | 13 Nov → | ||
| 13–8 | 0.12 | 26% | 12 Nov → | ||
| 13–7 | 0.04 | 41% | 11 Nov → | ||
| 6–13 | 0.07 | 31% | 11 Nov → | ||
| 5–13 | 0.06 | 29% | 10 Nov → | ||
| 16–14 | 0.03 | 18% | 7 Nov → | ||
| 13–4 | 0.10 | 28% | 5 Nov → | ||
| 11–13 | 0.05 | 40% | 5 Nov → | ||
| 13–6 | 0.02 | 38% | 17 Oct → |
Match data via Leetify.