thighs — CS2 Stats
76561198044717266[U:1:84451538]
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 37.6% | 41.7% | 44.1% | 6.5% short |
| Shot accuracy | 12.6% | 8.8% | 11.4% | above |
| Kill/death ratio | 0.89 | 0.97 | 1.03 | 0.14 short |
| Match win rate | 45.4% | 43.8% | 45.2% | meets |
This profile matches the typical Purple band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Purple 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 · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 85% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Reaction time. 613ms 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 5.8/10 (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 |
|---|---|---|---|---|---|
| S | 23 | 16–7 | 70% | -0.01 | |
| A | 23 | 14–9 | 61% | -0.00 | |
| S | 16 | 14–2 | 88% | 0.02 | |
| S | 13 | 9–4 | 69% | -0.01 | |
| A | 11 | 6–5 | 55% | -0.01 | |
| S | 7 | 5–2 | 71% | -0.01 | |
| B | 6 | 3–3 | 50% | -0.02 | |
| — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Anubis 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.
- 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 13.7276% — below the 15% 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 33.7051% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.04 | 12% | 28 Aug → | ||
| 16–14 | -0.05 | 17% | 27 Aug → | ||
| 13–7 | -0.04 | 14% | 27 Aug → | ||
| 13–6 | 0.03 | 14% | 27 Aug → | ||
| 13–5 | 0.05 | 16% | 26 Aug → | ||
| 13–9 | 0.01 | 9% | 26 Aug → | ||
| 13–4 | 0.03 | 6% | 26 Aug → | ||
| 8–13 | 0.00 | 19% | 25 Aug → | ||
| 4–13 | -0.05 | 10% | 25 Aug → | ||
| 6–13 | -0.02 | 13% | 25 Aug → | ||
| 13–10 | 0.06 | 10% | 25 Aug → | ||
| 13–7 | 0.01 | 7% | 25 Aug → | ||
| 13–10 | -0.01 | 6% | 25 Aug → | ||
| 13–1 | 0.02 | 16% | 25 Aug → | ||
| 7–1 | 0.18 | 22% | 25 Aug → | ||
| 13–11 | -0.04 | 10% | 25 Aug → | ||
| 5–13 | -0.04 | 19% | 25 Aug → | ||
| 13–0 | 0.08 | 23% | 25 Aug → | ||
| 8–13 | -0.03 | 27% | 25 Aug → | ||
| 13–10 | -0.00 | 13% | 25 Aug → | ||
| 13–8 | -0.05 | 9% | 25 Aug → | ||
| 13–4 | -0.00 | 13% | 21 Aug → | ||
| 1–13 | -0.03 | 10% | 21 Aug → | ||
| 2–13 | -0.01 | 11% | 21 Aug → | ||
| 13–7 | 0.06 | 34% | 21 Aug → | ||
| 12–12 | -0.01 | 11% | 21 Aug → | ||
| 13–9 | -0.02 | 9% | 21 Aug → | ||
| 11–13 | -0.02 | 4% | 20 Aug → | ||
| 8–13 | -0.01 | 14% | 20 Aug → | ||
| 13–1 | 0.04 | 26% | 20 Aug → | ||
| 13–1 | 0.05 | 15% | 20 Aug → | ||
| 13–9 | -0.03 | 15% | 20 Aug → | ||
| 13–5 | -0.07 | 16% | 20 Aug → | ||
| 13–7 | -0.02 | 15% | 20 Aug → | ||
| 13–10 | -0.02 | 14% | 20 Aug → | ||
| 13–7 | -0.06 | 7% | 20 Aug → | ||
| 13–9 | 0.02 | 12% | 20 Aug → | ||
| 8–13 | 0.01 | 18% | 20 Aug → | ||
| 10–13 | -0.04 | 13% | 19 Aug → | ||
| 10–13 | -0.02 | 16% | 19 Aug → | ||
| 5–2 | -0.02 | 20% | 19 Aug → | ||
| 7–0 | 0.01 | 19% | 19 Aug → | ||
| 8–13 | -0.05 | 7% | 19 Aug → | ||
| 13–5 | 0.06 | 22% | 19 Aug → | ||
| 13–4 | 0.03 | 11% | 19 Aug → | ||
| 10–13 | 0.01 | 16% | 19 Aug → | ||
| 13–2 | -0.01 | 24% | 18 Aug → | ||
| 6–0 | 0.01 | 67% | 18 Aug → | ||
| 13–6 | 0.09 | 19% | 18 Aug → | ||
| 13–5 | 0.08 | 19% | 15 Aug → | ||
| 13–8 | 0.03 | 17% | 15 Aug → | ||
| 13–1 | 0.04 | 6% | 15 Aug → | ||
| 4–13 | 0.03 | 18% | 15 Aug → | ||
| 13–5 | -0.02 | 4% | 14 Aug → | ||
| 13–6 | -0.08 | 3% | 14 Aug → | ||
| 5–13 | -0.02 | 14% | 14 Aug → | ||
| 5–13 | -0.02 | 13% | 14 Aug → | ||
| 13–3 | -0.04 | 11% | 14 Aug → | ||
| 13–9 | 0.02 | 26% | 13 Aug → | ||
| 13–1 | 0.01 | 9% | 13 Aug → | ||
| 8–1 | 0.01 | 26% | 13 Aug → | ||
| 13–4 | 0.03 | 21% | 13 Aug → | ||
| 13–7 | -0.04 | 22% | 13 Aug → | ||
| 7–13 | -0.04 | 14% | 13 Aug → | ||
| 9–13 | -0.08 | 5% | 13 Aug → | ||
| 5–13 | -0.03 | 19% | 13 Aug → | ||
| 13–11 | -0.04 | 20% | 13 Aug → | ||
| 7–13 | 0.06 | 31% | 12 Aug → | ||
| 13–9 | -0.03 | 13% | 11 Aug → | ||
| 13–0 | 0.10 | 15% | 11 Aug → | ||
| 13–3 | 0.09 | 18% | 11 Aug → | ||
| 13–7 | -0.05 | 15% | 11 Aug → | ||
| 8–13 | -0.01 | 25% | 11 Aug → | ||
| 7–13 | -0.08 | 20% | 11 Aug → | ||
| 12–12 | -0.03 | 12% | 10 Aug → | ||
| 9–13 | -0.00 | 24% | 10 Aug → | ||
| 13–3 | -0.01 | 8% | 10 Aug → | ||
| 12–12 | -0.02 | 10% | 10 Aug → | ||
| 2–13 | -0.07 | 13% | 10 Aug → | ||
| 13–2 | 0.04 | 30% | 10 Aug → | ||
| 13–3 | 0.07 | 36% | 10 Aug → | ||
| 13–7 | -0.00 | 14% | 10 Aug → | ||
| 13–5 | 0.02 | 20% | 8 Aug → | ||
| 13–1 | 0.06 | 29% | 8 Aug → | ||
| 3–13 | -0.06 | 25% | 8 Aug → | ||
| 13–6 | -0.00 | 21% | 8 Aug → | ||
| 13–8 | -0.06 | 12% | 8 Aug → | ||
| 6–13 | -0.04 | 15% | 8 Aug → | ||
| 13–7 | 0.04 | 2% | 7 Aug → | ||
| 12–12 | -0.06 | 19% | 7 Aug → | ||
| 13–9 | -0.02 | 9% | 7 Aug → | ||
| 10–13 | -0.01 | 21% | 7 Aug → | ||
| 6–2 | 0.00 | 29% | 7 Aug → | ||
| 13–8 | -0.04 | 17% | 7 Aug → | ||
| 13–11 | 0.05 | 20% | 7 Aug → | ||
| 13–5 | -0.02 | 17% | 7 Aug → | ||
| 13–6 | 0.07 | 13% | 6 Aug → | ||
| 13–11 | -0.03 | 29% | 6 Aug → | ||
| 13–4 | -0.05 | 15% | 6 Aug → | ||
| 13–2 | -0.02 | 15% | 6 Aug → |
Match data via Leetify.
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