TurBro — CS2 Stats
76561198352253193[U:1:391987465]
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 | 47.8% | 52.8% | 5.0% short |
| Shot accuracy | 16.3% | 13.7% | above |
| Kill/death ratio | 1.34 | 1.08 | above |
| Match win rate | 55.1% | 49.2% | above |
This profile matches the typical Level 10 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. 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 · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafing
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 ropz 90% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower opening-duel success; 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 604ms 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 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| A | 43 | 27–16 | 63% | 0.04 | |
| B | 27 | 13–14 | 48% | 0.04 | |
| S | 15 | 10–5 | 67% | 0.02 | |
| — | 4 | 1–3 | 25% | 0.06 | |
| — | 4 | 1–3 | 25% | 0.05 | |
| — | 4 | 4–0 | 100% | 0.04 | |
| — | 1 | 1–0 | 100% | 0.03 | |
| rooftop | — | 1 | 0–1 | 0% | 0.02 |
| — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (48% over 27). Start with the 6 essential Mirage 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 resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 24 | 58% | 1.54 | 19.2 |
| Mirage | 18 | 83% | 1.93 | 20.1 |
| Inferno | 16 | 50% | 1.44 | 17.3 |
| Overpass | 9 | 67% | 1.41 | 18.6 |
| Nuke | 7 | 29% | 1.28 | 17.4 |
| Ancient | 2 | 100% | 1.22 | 17.0 |
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 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 39.6943% — 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.
48% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.03 | 32% | 11 Jul → | ||
| 13–10 | 0.03 | 25% | 25 Feb → | ||
| 13–10 | 0.06 | 20% | 19 Feb → | ||
| 8–1 | 0.23 | 48% | 19 Feb → | ||
| 13–9 | 0.02 | 4% | 19 Feb → | ||
| 3–11 | 0.11 | 22% | 18 Feb → | ||
| 5–13 | 0.03 | 28% | 18 Feb → | ||
| 13–11 | 0.02 | 27% | 10 Feb → | ||
| 3–13 | 0.02 | 38% | 5 Feb → | ||
| 13–11 | 0.09 | 26% | 5 Feb → | ||
| 13–1 | 0.11 | 43% | 5 Feb → | ||
| 13–3 | 0.05 | 28% | 26 Nov → | ||
| 6–13 | 0.01 | 26% | 12 Oct → | ||
| rooftop | 8–8 | 0.02 | 22% | 12 Oct → | |
| 5–13 | 0.02 | 9% | 11 Oct → | ||
| 13–10 | 0.05 | 18% | 8 Oct → | ||
| 12–12 | 0.06 | 19% | 8 Oct → | ||
| 12–12 | 0.07 | 25% | 8 Oct → | ||
| 13–4 | 0.09 | 24% | 8 Oct → | ||
| 13–3 | 0.20 | 17% | 8 Oct → | ||
| 13–8 | -0.03 | 22% | 6 Oct → | ||
| 13–3 | 0.03 | 20% | 6 Oct → | ||
| 13–6 | 0.10 | 14% | 6 Oct → | ||
| 13–8 | 0.08 | 39% | 6 Oct → | ||
| 13–7 | -0.01 | 22% | 6 Oct → | ||
| 10–13 | 0.01 | 28% | 6 Oct → | ||
| 13–8 | 0.04 | 25% | 6 Oct → | ||
| 13–11 | -0.00 | 20% | 5 Oct → | ||
| 13–8 | 0.11 | 33% | 5 Oct → | ||
| 13–10 | 0.04 | 21% | 5 Oct → | ||
| 13–4 | 0.06 | 35% | 5 Oct → | ||
| 8–13 | 0.02 | 22% | 5 Oct → | ||
| 8–13 | -0.01 | 25% | 30 Sept → | ||
| 13–3 | 0.12 | 30% | 30 Sept → | ||
| 13–7 | 0.03 | 27% | 30 Sept → | ||
| 10–13 | -0.04 | 19% | 30 Sept → | ||
| 13–3 | 0.15 | 25% | 30 Sept → | ||
| 13–6 | 0.04 | 17% | 30 Sept → | ||
| 0–11 | -0.03 | 17% | 30 Sept → | ||
| 12–12 | 0.01 | 19% | 29 Sept → | ||
| 7–2 | 0.01 | 18% | 29 Sept → | ||
| 9–13 | 0.10 | 15% | 29 Sept → | ||
| 4–9 | 0.03 | 16% | 28 Sept → | ||
| 7–13 | 0.06 | 22% | 28 Sept → | ||
| 13–7 | 0.02 | 36% | 28 Sept → | ||
| 10–13 | -0.01 | 23% | 27 Sept → | ||
| 13–5 | 0.08 | 23% | 26 Sept → | ||
| 12–12 | 0.03 | 22% | 26 Sept → | ||
| 13–11 | 0.03 | 30% | 24 Sept → | ||
| 13–1 | 0.09 | 32% | 24 Sept → | ||
| 10–13 | -0.02 | 21% | 24 Sept → | ||
| 3–13 | -0.00 | 32% | 24 Sept → | ||
| 13–4 | 0.11 | 19% | 23 Sept → | ||
| 0–13 | -0.09 | 14% | 22 Sept → | ||
| 13–3 | -0.02 | 15% | 22 Sept → | ||
| 13–10 | 0.01 | 17% | 22 Sept → | ||
| 13–8 | 0.08 | 28% | 22 Sept → | ||
| 11–13 | 0.11 | 17% | 22 Sept → | ||
| 4–9 | -0.02 | 24% | 21 Sept → | ||
| 7–13 | 0.01 | 24% | 21 Sept → | ||
| 13–7 | 0.09 | 24% | 21 Sept → | ||
| 13–8 | -0.01 | 17% | 21 Sept → | ||
| 13–6 | 0.05 | 28% | 21 Sept → | ||
| 6–13 | -0.04 | 20% | 20 Sept → | ||
| 10–13 | 0.01 | 25% | 20 Sept → | ||
| 11–13 | 0.07 | 25% | 20 Sept → | ||
| 13–11 | 0.09 | 28% | 20 Sept → | ||
| 13–4 | 0.08 | 47% | 20 Sept → | ||
| 13–9 | 0.09 | 41% | 19 Sept → | ||
| 13–8 | 0.07 | 26% | 19 Sept → | ||
| 13–9 | -0.04 | 14% | 19 Sept → | ||
| 7–13 | -0.03 | 25% | 19 Sept → | ||
| 6–5 | 0.11 | 19% | 19 Sept → | ||
| 5–13 | 0.01 | 23% | 19 Sept → | ||
| 8–13 | 0.02 | 13% | 18 Sept → | ||
| 12–12 | 0.06 | 13% | 18 Sept → | ||
| 13–6 | 0.03 | 22% | 17 Sept → | ||
| 13–6 | 0.04 | 30% | 17 Sept → | ||
| 13–5 | -0.00 | 39% | 17 Sept → | ||
| 13–5 | 0.12 | 22% | 16 Sept → | ||
| 8–13 | 0.07 | 27% | 16 Sept → | ||
| 8–13 | -0.01 | 27% | 16 Sept → | ||
| 13–11 | 0.07 | 23% | 15 Sept → | ||
| 13–4 | 0.08 | 28% | 14 Sept → | ||
| 11–13 | 0.02 | 30% | 14 Sept → | ||
| 9–1 | 0.06 | 29% | 14 Sept → | ||
| 8–13 | -0.00 | 29% | 13 Sept → | ||
| 13–16 | 0.01 | 21% | 13 Sept → | ||
| 13–5 | 0.07 | 16% | 13 Sept → | ||
| 10–13 | 0.01 | 29% | 13 Sept → | ||
| 13–8 | -0.01 | 18% | 13 Sept → | ||
| 13–9 | 0.11 | 33% | 13 Sept → | ||
| 13–11 | 0.10 | 27% | 13 Sept → | ||
| 13–7 | 0.05 | 31% | 13 Sept → | ||
| 7–13 | 0.08 | 27% | 10 Sept → | ||
| 16–14 | 0.00 | 15% | 8 Sept → | ||
| 6–13 | -0.06 | 18% | 8 Sept → | ||
| 2–7 | -0.04 | 6% | 7 Sept → | ||
| 1–13 | -0.06 | 14% | 7 Sept → | ||
| 13–2 | 0.09 | 24% | 7 Sept → |
Match data via Leetify.