GhostMav — CS2 Stats
76561198028274696[U:1:68008968]
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 35.9% | 44.1% | 47.2% | 11.3% short |
| Shot accuracy | 1.2% | 11.4% | 12.7% | 11.5% short |
| Kill/death ratio | 0.87 | 1.03 | 1.09 | 0.22 short |
| Match win rate | 46.3% | 45.2% | 46.6% | meets |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink 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: +0pp win rate · +0.01 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 b1t 84% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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. 592ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 61% 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 4.3/10 (Developing), 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 |
|---|---|---|---|---|---|
| B | 24 | 12–12 | 50% | 0.01 | |
| C | 17 | 6–11 | 35% | -0.01 | |
| S | 16 | 13–3 | 81% | 0.01 | |
| B | 10 | 5–5 | 50% | 0.00 | |
| A | 10 | 6–4 | 60% | 0.02 | |
| D | 10 | 3–7 | 30% | -0.02 | |
| D | 8 | 1–7 | 13% | -0.00 | |
| shelter | — | 2 | 1–1 | 50% | -0.05 |
| office | — | 1 | 0–1 | 0% | 0.01 |
| boulder | — | 1 | 1–0 | 100% | 0.04 |
| fachwerk | — | 1 | 1–0 | 100% | 0.12 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (13% over 8). 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 12.8861% — 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.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 8–13 | 0.01 | 31% | 29 Aug → | |
| 12–12 | 0.07 | 15% | 29 Aug → | ||
| 6–13 | 0.00 | 16% | 29 Aug → | ||
| 7–13 | -0.01 | 15% | 28 Aug → | ||
| 13–9 | 0.05 | 12% | 28 Aug → | ||
| 10–13 | -0.04 | 17% | 28 Aug → | ||
| 13–11 | 0.05 | 11% | 28 Aug → | ||
| 13–3 | 0.06 | 14% | 28 Aug → | ||
| 10–13 | 0.02 | 15% | 28 Aug → | ||
| 13–6 | 0.00 | 9% | 23 Aug → | ||
| 7–13 | -0.02 | 7% | 23 Aug → | ||
| 6–13 | -0.03 | 5% | 22 Aug → | ||
| 13–6 | 0.01 | 14% | 22 Aug → | ||
| 13–7 | 0.07 | 9% | 21 Aug → | ||
| 13–11 | 0.01 | 10% | 21 Aug → | ||
| 14–16 | 0.01 | 10% | 21 Aug → | ||
| 5–13 | 0.05 | 13% | 21 Aug → | ||
| 13–6 | 0.02 | 16% | 20 Aug → | ||
| 10–13 | 0.03 | 11% | 20 Aug → | ||
| 4–13 | -0.05 | 12% | 19 Aug → | ||
| 9–13 | -0.01 | 32% | 19 Aug → | ||
| 13–9 | 0.01 | 11% | 18 Aug → | ||
| 13–16 | 0.00 | 8% | 17 Aug → | ||
| 13–5 | -0.04 | 18% | 17 Aug → | ||
| 13–9 | 0.03 | 10% | 17 Aug → | ||
| 10–13 | 0.00 | 8% | 16 Aug → | ||
| shelter | 1–13 | -0.06 | 14% | 16 Aug → | |
| 12–6 | -0.01 | 11% | 14 Aug → | ||
| 13–6 | 0.03 | 10% | 14 Aug → | ||
| 9–13 | -0.03 | 6% | 14 Aug → | ||
| 13–3 | 0.03 | 16% | 5 Aug → | ||
| 9–13 | 0.02 | 14% | 5 Aug → | ||
| 10–13 | -0.04 | 16% | 3 Aug → | ||
| 7–13 | -0.04 | 2% | 3 Aug → | ||
| 13–3 | 0.06 | 6% | 3 Aug → | ||
| 8–13 | -0.05 | 16% | 3 Aug → | ||
| 6–13 | -0.05 | 13% | 3 Aug → | ||
| 7–13 | -0.00 | 18% | 2 Aug → | ||
| 13–9 | 0.02 | 14% | 2 Aug → | ||
| 8–13 | -0.06 | 18% | 2 Aug → | ||
| 13–16 | 0.06 | 6% | 2 Aug → | ||
| 11–13 | -0.01 | 13% | 2 Aug → | ||
| 13–10 | 0.03 | 13% | 2 Aug → | ||
| 13–10 | 0.08 | 7% | 2 Aug → | ||
| 15–15 | 0.03 | 6% | 2 Aug → | ||
| 13–3 | -0.04 | 12% | 2 Aug → | ||
| 13–8 | 0.01 | 16% | 2 Aug → | ||
| 13–6 | 0.01 | 18% | 2 Aug → | ||
| 10–13 | -0.02 | 11% | 1 Aug → | ||
| 9–13 | 0.02 | 10% | 1 Aug → | ||
| 13–7 | 0.03 | 6% | 1 Aug → | ||
| 13–8 | -0.00 | 13% | 1 Aug → | ||
| 15–15 | -0.03 | 5% | 1 Aug → | ||
| 9–13 | 0.01 | 15% | 1 Aug → | ||
| 13–16 | 0.01 | 6% | 29 Jul → | ||
| 13–7 | 0.01 | 11% | 29 Jul → | ||
| 13–7 | -0.03 | 6% | 29 Jul → | ||
| 5–13 | -0.05 | 6% | 25 Jul → | ||
| 6–13 | -0.01 | 12% | 25 Jul → | ||
| 9–13 | -0.03 | 8% | 25 Jul → | ||
| 6–13 | -0.04 | 11% | 24 Jul → | ||
| 13–7 | -0.06 | 3% | 24 Jul → | ||
| 13–8 | 0.02 | 7% | 24 Jul → | ||
| 13–5 | 0.03 | 12% | 24 Jul → | ||
| 10–13 | 0.01 | 12% | 23 Jul → | ||
| 13–9 | 0.03 | 7% | 23 Jul → | ||
| 15–15 | -0.02 | 14% | 23 Jul → | ||
| 13–5 | 0.04 | 8% | 23 Jul → | ||
| 16–12 | 0.02 | 14% | 20 Jul → | ||
| 13–8 | 0.04 | 5% | 20 Jul → | ||
| 16–12 | 0.05 | 11% | 19 Jul → | ||
| boulder | 13–1 | 0.04 | 18% | 19 Jul → | |
| shelter | 13–10 | -0.05 | 20% | 19 Jul → | |
| fachwerk | 13–11 | 0.12 | 15% | 19 Jul → | |
| 13–10 | 0.07 | 7% | 19 Jul → | ||
| 8–13 | -0.09 | 14% | 19 Jul → | ||
| 13–16 | 0.03 | 10% | 19 Jul → | ||
| 13–8 | 0.02 | 4% | 18 Jul → | ||
| 16–13 | -0.01 | 9% | 18 Jul → | ||
| 4–13 | 0.01 | 16% | 18 Jul → | ||
| 13–6 | 0.03 | 10% | 18 Jul → | ||
| 3–13 | -0.06 | 13% | 18 Jul → | ||
| 9–13 | -0.03 | 12% | 18 Jul → | ||
| 16–14 | -0.03 | 11% | 17 Jul → | ||
| 13–10 | -0.00 | 15% | 17 Jul → | ||
| 6–13 | -0.03 | 24% | 17 Jul → | ||
| 13–7 | 0.00 | 8% | 17 Jul → | ||
| 9–13 | -0.01 | 9% | 17 Jul → | ||
| 13–2 | 0.05 | 18% | 17 Jul → | ||
| 11–13 | -0.03 | 8% | 17 Jul → | ||
| 13–7 | -0.03 | 13% | 17 Jul → | ||
| 11–13 | -0.01 | 7% | 17 Jul → | ||
| 13–11 | -0.05 | 12% | 17 Jul → | ||
| 13–7 | -0.01 | 13% | 17 Jul → | ||
| 12–16 | 0.00 | 11% | 17 Jul → | ||
| 13–11 | 0.02 | 10% | 17 Jul → | ||
| 11–13 | -0.07 | 16% | 16 Jul → | ||
| 13–7 | 0.06 | 5% | 16 Jul → | ||
| 15–15 | 0.05 | 9% | 16 Jul → | ||
| 10–13 | 0.01 | 11% | 15 Jul → |
Match data via Leetify.