chappie — CS2 Stats
ZA76561199175332788[U:1:1215067060]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 | 32.1% | 41.7% | 44.1% | 12.0% short |
| Shot accuracy | 7.5% | 8.8% | 11.4% | 3.9% short |
| Kill/death ratio | 1.08 | 0.97 | 1.03 | above |
| Match win rate | 44.8% | 43.8% | 45.2% | meets |
This profile matches the typical Purple band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. 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 · +0.07 avg rating
Player DNA
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 device 84% 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. 579ms 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 5.2/10 (Developing), 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% | -0.00 | |
| C | 15 | 6–9 | 40% | 0.00 | |
| B | 11 | 5–6 | 45% | -0.02 | |
| A | 11 | 7–4 | 64% | 0.01 | |
| S | 9 | 8–1 | 89% | 0.02 | |
| C | 5 | 2–3 | 40% | -0.00 | |
| — | 4 | 1–3 | 25% | -0.00 | |
| — | 2 | 1–1 | 50% | -0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (40% over 15). 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 9.9992% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.2795 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.05 | 16% | 24 Aug → | ||
| 13–2 | 0.02 | 0% | 23 Aug → | ||
| 13–7 | -0.01 | 12% | 18 Aug → | ||
| 13–9 | 0.01 | 8% | 18 Aug → | ||
| 13–5 | 0.13 | 5% | 9 Aug → | ||
| 15–15 | 0.06 | 9% | 9 Aug → | ||
| 13–5 | 0.13 | 14% | 5 Aug → | ||
| 6–13 | -0.06 | 6% | 30 Jul → | ||
| 13–11 | 0.08 | 13% | 30 Jul → | ||
| 13–7 | 0.07 | 11% | 25 Jul → | ||
| 16–12 | 0.07 | 15% | 23 Jul → | ||
| 13–1 | 0.04 | 4% | 22 Jul → | ||
| 9–13 | -0.06 | 2% | 22 Jul → | ||
| 9–13 | -0.09 | 5% | 22 Jul → | ||
| 16–13 | -0.01 | 18% | 16 Jul → | ||
| 4–13 | -0.07 | 13% | 24 Jun → | ||
| 13–9 | -0.07 | 14% | 23 Jun → | ||
| 13–1 | 0.04 | 13% | 23 Jun → | ||
| 13–3 | -0.03 | 12% | 23 Jun → | ||
| 13–5 | -0.09 | 8% | 23 Jun → | ||
| 13–2 | -0.05 | 3% | 23 Jun → | ||
| 13–7 | 0.04 | 4% | 22 Jun → | ||
| 13–6 | -0.06 | 21% | 22 Jun → | ||
| 16–12 | -0.01 | 8% | 18 Jun → | ||
| 13–7 | 0.06 | 6% | 16 Jun → | ||
| 13–2 | -0.09 | 9% | 14 Jun → | ||
| 1–9 | -0.05 | 0% | 13 Jun → | ||
| 13–9 | -0.01 | 13% | 13 Jun → | ||
| 13–8 | -0.03 | 11% | 13 Jun → | ||
| 13–4 | -0.00 | 15% | 13 Jun → | ||
| 13–7 | -0.01 | 26% | 13 Jun → | ||
| 3–13 | -0.05 | 0% | 13 Jun → | ||
| 13–9 | -0.04 | 7% | 11 Jun → | ||
| 13–9 | -0.04 | 12% | 11 Jun → | ||
| 13–7 | 0.08 | 9% | 8 Jun → | ||
| 13–10 | -0.00 | 14% | 6 Jun → | ||
| 7–13 | 0.00 | 17% | 6 Jun → | ||
| 13–6 | 0.02 | 18% | 2 Jun → | ||
| 10–13 | -0.01 | 17% | 30 May → | ||
| 13–11 | 0.03 | 12% | 30 May → | ||
| 13–5 | 0.01 | 2% | 30 May → | ||
| 10–13 | -0.01 | 10% | 30 May → | ||
| 5–13 | -0.02 | 21% | 29 May → | ||
| 7–13 | -0.04 | 19% | 29 May → | ||
| 13–7 | -0.01 | 12% | 28 May → | ||
| 13–6 | 0.03 | 5% | 28 May → | ||
| 10–13 | -0.01 | 15% | 28 May → | ||
| 10–13 | -0.04 | 2% | 20 May → | ||
| 13–0 | 0.01 | 14% | 19 May → | ||
| 13–3 | 0.07 | 8% | 19 May → | ||
| 7–13 | -0.01 | 6% | 19 May → | ||
| 13–7 | 0.08 | 7% | 19 May → | ||
| 10–13 | 0.03 | 0% | 19 May → | ||
| 11–13 | -0.03 | 22% | 18 May → | ||
| 13–9 | 0.03 | 8% | 18 May → | ||
| 8–13 | 0.03 | 10% | 18 May → | ||
| 4–13 | 0.08 | 19% | 18 May → | ||
| 13–7 | 0.05 | 22% | 18 May → | ||
| 13–6 | 0.00 | 12% | 7 May → | ||
| 13–6 | 0.06 | 12% | 29 Apr → | ||
| 10–13 | -0.07 | 0% | 29 Apr → | ||
| 13–8 | -0.01 | 13% | 29 Apr → | ||
| 13–11 | -0.05 | 12% | 28 Apr → | ||
| 13–6 | -0.04 | 15% | 28 Apr → | ||
| 1–13 | -0.05 | 28% | 23 Apr → | ||
| 4–13 | -0.07 | 10% | 23 Apr → | ||
| 4–13 | 0.01 | 14% | 18 Apr → | ||
| 13–10 | 0.06 | 6% | 16 Apr → | ||
| 3–13 | -0.05 | 21% | 16 Apr → | ||
| 10–13 | 0.05 | 13% | 15 Apr → | ||
| 11–13 | -0.02 | 16% | 15 Apr → | ||
| 13–10 | -0.03 | 0% | 12 Apr → | ||
| 13–7 | 0.00 | 23% | 12 Apr → | ||
| 13–4 | 0.16 | 17% | 12 Apr → | ||
| 5–13 | 0.03 | 10% | 12 Apr → | ||
| 13–8 | 0.06 | 17% | 12 Apr → | ||
| 13–7 | -0.03 | 7% | 11 Apr → | ||
| 13–6 | 0.08 | 12% | 11 Apr → | ||
| 11–13 | -0.10 | 7% | 11 Apr → | ||
| 13–8 | 0.06 | 17% | 11 Apr → | ||
| 10–13 | -0.01 | 14% | 11 Apr → | ||
| 2–13 | -0.09 | 7% | 11 Apr → | ||
| 12–16 | -0.04 | 15% | 10 Apr → | ||
| 13–8 | -0.03 | 16% | 10 Apr → | ||
| 11–13 | -0.06 | 17% | 10 Apr → | ||
| 5–13 | -0.05 | 33% | 10 Apr → | ||
| 8–13 | -0.10 | 0% | 5 Apr → | ||
| 4–13 | -0.02 | 15% | 5 Apr → | ||
| 1–13 | 0.05 | 27% | 3 Apr → | ||
| 13–16 | -0.03 | 12% | 3 Apr → | ||
| 10–13 | 0.04 | 13% | 3 Apr → | ||
| 13–11 | -0.00 | 12% | 2 Apr → | ||
| 16–13 | 0.01 | 31% | 2 Apr → | ||
| 16–14 | -0.01 | 17% | 2 Apr → | ||
| 10–13 | 0.02 | 12% | 2 Apr → | ||
| 11–13 | -0.06 | 11% | 1 Apr → | ||
| 13–7 | 0.05 | 16% | 1 Apr → | ||
| 3–13 | -0.02 | 11% | 1 Apr → | ||
| 11–13 | 0.01 | 16% | 1 Apr → | ||
| 15–15 | 0.02 | 12% | 31 Mar → |
Match data via Leetify.