scoots — CS2 Stats
76561198052970537[U:1:92704809]Steam profile ↗✓ No bans
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 | 32.6% | 41.7% | 44.1% | 11.4% short |
| Shot accuracy | 18.8% | 8.8% | 11.4% | above |
| Kill/death ratio | 0.97 | 0.97 | 1.03 | 0.06 short |
| Match win rate | 42.0% | 43.8% | 45.2% | 3.1% short |
This profile matches the typical Purple band player on 1 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: -30pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 sh1ro 92% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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 86 — the mechanical foundation is a clear strength.
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 6.8/10 (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 |
|---|---|---|---|---|---|
| B | 24 | 13–11 | 54% | 0.01 | |
| B | 18 | 9–9 | 50% | -0.00 | |
| A | 15 | 9–6 | 60% | 0.01 | |
| B | 13 | 6–7 | 46% | -0.01 | |
| B | 13 | 6–7 | 46% | -0.02 | |
| D | 12 | 1–11 | 8% | -0.03 | |
| C | 5 | 2–3 | 40% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Dust 2 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 12.7603% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–16 | 0.00 | 21% | 29 Aug → | ||
| 13–8 | 0.06 | 16% | 29 Aug → | ||
| 13–8 | 0.05 | 6% | 29 Aug → | ||
| 4–13 | -0.01 | 7% | 29 Aug → | ||
| 13–6 | 0.03 | 14% | 29 Aug → | ||
| 13–7 | 0.05 | 7% | 29 Aug → | ||
| 16–14 | 0.00 | 10% | 29 Aug → | ||
| 15–15 | 0.06 | 11% | 28 Aug → | ||
| 5–13 | -0.02 | 9% | 28 Aug → | ||
| 13–4 | 0.10 | 20% | 28 Aug → | ||
| 13–8 | 0.09 | 19% | 28 Aug → | ||
| 16–12 | 0.03 | 9% | 28 Aug → | ||
| 13–8 | 0.10 | 16% | 28 Aug → | ||
| 16–13 | -0.01 | 10% | 28 Aug → | ||
| 13–9 | 0.07 | 12% | 28 Aug → | ||
| 16–12 | 0.06 | 4% | 27 Aug → | ||
| 7–13 | 0.03 | 13% | 27 Aug → | ||
| 13–3 | 0.12 | 13% | 27 Aug → | ||
| 13–5 | 0.03 | 12% | 27 Aug → | ||
| 13–7 | 0.05 | 9% | 26 Aug → | ||
| 11–13 | 0.02 | 19% | 26 Aug → | ||
| 13–1 | 0.07 | 17% | 26 Aug → | ||
| 9–13 | -0.04 | 6% | 23 Aug → | ||
| 13–8 | 0.05 | 22% | 23 Aug → | ||
| 13–3 | 0.02 | 20% | 23 Aug → | ||
| 5–13 | -0.02 | 16% | 23 Aug → | ||
| 9–13 | 0.05 | 17% | 23 Aug → | ||
| 13–7 | 0.01 | 14% | 23 Aug → | ||
| 10–13 | 0.03 | 10% | 23 Aug → | ||
| 13–9 | -0.00 | 13% | 22 Aug → | ||
| 13–3 | 0.06 | 25% | 22 Aug → | ||
| 8–13 | -0.00 | 5% | 22 Aug → | ||
| 4–13 | -0.10 | 0% | 22 Aug → | ||
| 3–13 | -0.02 | 22% | 22 Aug → | ||
| 8–13 | 0.06 | 26% | 22 Aug → | ||
| 10–13 | -0.01 | 8% | 22 Aug → | ||
| 13–8 | 0.13 | 13% | 22 Aug → | ||
| 13–16 | 0.02 | 5% | 22 Aug → | ||
| 3–13 | -0.04 | 7% | 22 Aug → | ||
| 13–6 | 0.09 | 10% | 21 Aug → | ||
| 1–13 | -0.11 | 9% | 21 Aug → | ||
| 10–13 | 0.05 | 10% | 21 Aug → | ||
| 10–13 | 0.02 | 9% | 16 Aug → | ||
| 6–13 | -0.03 | 19% | 16 Aug → | ||
| 12–16 | -0.02 | 10% | 16 Aug → | ||
| 9–13 | -0.01 | 13% | 16 Aug → | ||
| 13–7 | -0.02 | 8% | 15 Aug → | ||
| 11–13 | -0.01 | 14% | 15 Aug → | ||
| 12–16 | 0.00 | 8% | 8 Aug → | ||
| 13–6 | -0.07 | 9% | 8 Aug → | ||
| 4–13 | -0.08 | 9% | 8 Aug → | ||
| 13–10 | -0.08 | 14% | 8 Aug → | ||
| 13–1 | 0.03 | 11% | 6 Aug → | ||
| 13–2 | 0.03 | 11% | 6 Aug → | ||
| 6–13 | -0.04 | 11% | 6 Aug → | ||
| 5–13 | 0.01 | 8% | 5 Aug → | ||
| 4–13 | -0.05 | 0% | 5 Aug → | ||
| 4–13 | -0.03 | 29% | 5 Aug → | ||
| 13–9 | -0.03 | 11% | 2 Aug → | ||
| 5–13 | -0.12 | 6% | 2 Aug → | ||
| 16–13 | 0.01 | 18% | 2 Aug → | ||
| 11–13 | -0.07 | 8% | 2 Aug → | ||
| 13–10 | -0.02 | 11% | 2 Aug → | ||
| 14–16 | -0.02 | 9% | 1 Aug → | ||
| 13–8 | -0.02 | 14% | 1 Aug → | ||
| 13–5 | 0.01 | 10% | 1 Aug → | ||
| 13–16 | -0.05 | 17% | 1 Aug → | ||
| 13–9 | 0.02 | 24% | 1 Aug → | ||
| 10–13 | -0.09 | 16% | 1 Aug → | ||
| 5–13 | -0.07 | 14% | 31 Jul → | ||
| 11–13 | 0.00 | 20% | 31 Jul → | ||
| 10–13 | -0.06 | 19% | 31 Jul → | ||
| 13–6 | 0.01 | 20% | 31 Jul → | ||
| 11–13 | 0.01 | 21% | 31 Jul → | ||
| 13–8 | -0.01 | 26% | 31 Jul → | ||
| 13–9 | 0.05 | 9% | 31 Jul → | ||
| 15–15 | -0.01 | 14% | 31 Jul → | ||
| 8–13 | -0.08 | 9% | 31 Jul → | ||
| 6–13 | -0.06 | 11% | 31 Jul → | ||
| 6–13 | -0.04 | 12% | 26 Jul → | ||
| 5–13 | -0.01 | 8% | 26 Jul → | ||
| 13–11 | -0.06 | 11% | 26 Jul → | ||
| 8–13 | -0.03 | 17% | 26 Jul → | ||
| 13–1 | 0.06 | 18% | 26 Jul → | ||
| 13–9 | 0.04 | 15% | 26 Jul → | ||
| 13–9 | -0.04 | 5% | 26 Jul → | ||
| 13–16 | -0.04 | 15% | 26 Jul → | ||
| 13–8 | -0.02 | 26% | 26 Jul → | ||
| 3–13 | -0.08 | 6% | 25 Jul → | ||
| 13–8 | -0.03 | 14% | 25 Jul → | ||
| 8–13 | -0.11 | 25% | 25 Jul → | ||
| 6–13 | -0.01 | 20% | 25 Jul → | ||
| 10–13 | 0.02 | 21% | 25 Jul → | ||
| 7–13 | -0.09 | 6% | 25 Jul → | ||
| 5–13 | -0.08 | 17% | 25 Jul → | ||
| 13–11 | -0.04 | 27% | 25 Jul → | ||
| 5–13 | 0.00 | 21% | 24 Jul → | ||
| 16–14 | -0.01 | 12% | 24 Jul → | ||
| 13–2 | 0.12 | 11% | 24 Jul → | ||
| 8–13 | -0.06 | 21% | 24 Jul → |
Match data via Leetify.