Ghostskiyツ — CS2 Stats
76561198439505201[U:1:479239473]✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | vs Light Blue band |
|---|---|---|---|
| Headshot rate | 42.0% | 40.1% | above |
| Shot accuracy | 8.5% | 7.6% | above |
| Kill/death ratio | 1.00 | 0.92 | above |
| Match win rate | 22.6% | 42.2% | 19.5% short |
This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 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 NiKo 74% playstyle similarity
Most alike: opening-duel success, 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. 689ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 63% 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 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| C | 25 | 9–16 | 36% | -0.01 | |
| C | 25 | 9–16 | 36% | -0.04 | |
| C | 17 | 6–11 | 35% | -0.02 | |
| C | 14 | 5–9 | 36% | -0.04 | |
| S | 12 | 8–4 | 67% | -0.00 | |
| — | 4 | 1–3 | 25% | -0.04 | |
| — | 2 | 1–1 | 50% | 0.05 | |
| — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Nuke 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 14.8098% — 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 37.7049% — 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.
35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.00 | 11% | 28 Aug → | ||
| 13–11 | -0.00 | 19% | 28 Aug → | ||
| 4–13 | -0.12 | 12% | 28 Aug → | ||
| 10–13 | -0.02 | 10% | 28 Aug → | ||
| 13–8 | 0.01 | 16% | 28 Aug → | ||
| 13–2 | 0.13 | 32% | 28 Aug → | ||
| 13–5 | -0.05 | 9% | 28 Aug → | ||
| 10–13 | -0.06 | 16% | 24 Aug → | ||
| 11–13 | -0.04 | 19% | 24 Aug → | ||
| 4–13 | -0.04 | 11% | 24 Aug → | ||
| 13–10 | 0.09 | 20% | 24 Aug → | ||
| 7–13 | 0.01 | 11% | 24 Aug → | ||
| 13–7 | -0.00 | 22% | 23 Aug → | ||
| 4–13 | -0.07 | 16% | 23 Aug → | ||
| 13–6 | -0.05 | 10% | 23 Aug → | ||
| 13–1 | 0.10 | 25% | 23 Aug → | ||
| 10–13 | 0.01 | 8% | 22 Aug → | ||
| 16–13 | -0.02 | 25% | 22 Aug → | ||
| 15–15 | -0.01 | 13% | 22 Aug → | ||
| 9–13 | -0.03 | 18% | 22 Aug → | ||
| 15–15 | -0.00 | 10% | 16 Aug → | ||
| 1–13 | -0.08 | 6% | 16 Aug → | ||
| 13–5 | 0.17 | 21% | 16 Aug → | ||
| 1–13 | -0.02 | 33% | 16 Aug → | ||
| 13–1 | 0.05 | 11% | 15 Aug → | ||
| 10–13 | -0.03 | 5% | 9 Aug → | ||
| 13–4 | 0.02 | 10% | 8 Aug → | ||
| 13–11 | -0.03 | 6% | 8 Aug → | ||
| 7–13 | -0.00 | 8% | 8 Aug → | ||
| 13–6 | -0.01 | 21% | 8 Aug → | ||
| 13–5 | 0.01 | 17% | 8 Aug → | ||
| 13–7 | 0.00 | 10% | 8 Aug → | ||
| 6–13 | -0.03 | 22% | 7 Aug → | ||
| 13–4 | 0.10 | 17% | 7 Aug → | ||
| 10–13 | -0.00 | 3% | 7 Aug → | ||
| 13–11 | 0.01 | 14% | 7 Aug → | ||
| 5–13 | 0.01 | 12% | 7 Aug → | ||
| 4–13 | -0.12 | 5% | 7 Aug → | ||
| 13–3 | 0.01 | 3% | 7 Aug → | ||
| 13–7 | 0.00 | 8% | 31 Jul → | ||
| 9–13 | -0.06 | 8% | 31 Jul → | ||
| 2–13 | -0.08 | 13% | 31 Jul → | ||
| 13–11 | 0.01 | 14% | 31 Jul → | ||
| 6–13 | -0.04 | 14% | 31 Jul → | ||
| 6–13 | 0.08 | 12% | 31 Jul → | ||
| 15–15 | -0.03 | 12% | 31 Jul → | ||
| 4–13 | -0.03 | 3% | 31 Jul → | ||
| 6–13 | -0.07 | 19% | 29 Jul → | ||
| 1–13 | -0.02 | 9% | 29 Jul → | ||
| 5–13 | 0.22 | 9% | 29 Jul → | ||
| 3–13 | -0.12 | 10% | 29 Jul → | ||
| 16–13 | -0.07 | 18% | 29 Jul → | ||
| 11–13 | -0.05 | 4% | 27 Jul → | ||
| 10–13 | 0.00 | 18% | 27 Jul → | ||
| 10–13 | -0.01 | 19% | 27 Jul → | ||
| 7–13 | -0.08 | 8% | 27 Jul → | ||
| 7–13 | -0.06 | 12% | 26 Jul → | ||
| 15–15 | 0.02 | 23% | 26 Jul → | ||
| 6–13 | 0.07 | 19% | 26 Jul → | ||
| 6–13 | -0.06 | 25% | 26 Jul → | ||
| 13–8 | -0.04 | 15% | 26 Jul → | ||
| 13–3 | -0.02 | 12% | 25 Jul → | ||
| 13–8 | 0.01 | 15% | 25 Jul → | ||
| 13–6 | -0.04 | 6% | 25 Jul → | ||
| 13–10 | -0.02 | 5% | 25 Jul → | ||
| 0–13 | -0.13 | 20% | 25 Jul → | ||
| 13–1 | -0.06 | 6% | 25 Jul → | ||
| 10–13 | -0.13 | 13% | 22 Jul → | ||
| 2–13 | -0.10 | 0% | 22 Jul → | ||
| 4–13 | -0.09 | 16% | 22 Jul → | ||
| 16–13 | -0.02 | 11% | 22 Jul → | ||
| 13–11 | 0.06 | 14% | 22 Jul → | ||
| 6–13 | -0.05 | 4% | 20 Jul → | ||
| 5–13 | -0.10 | 14% | 20 Jul → | ||
| 4–13 | 0.00 | 21% | 20 Jul → | ||
| 9–13 | -0.01 | 15% | 20 Jul → | ||
| 5–13 | -0.06 | 13% | 19 Jul → | ||
| 13–4 | -0.01 | 2% | 19 Jul → | ||
| 1–13 | -0.05 | 10% | 19 Jul → | ||
| 8–13 | 0.01 | 13% | 19 Jul → | ||
| 9–13 | -0.09 | 8% | 18 Jul → | ||
| 13–4 | -0.06 | 8% | 18 Jul → | ||
| 2–13 | -0.04 | 3% | 18 Jul → | ||
| 14–16 | -0.02 | 11% | 9 Jul → | ||
| 3–13 | -0.06 | 13% | 8 Jul → | ||
| 8–13 | -0.03 | 18% | 8 Jul → | ||
| 3–13 | -0.11 | 0% | 8 Jul → | ||
| 13–10 | -0.06 | 7% | 8 Jul → | ||
| 3–13 | -0.09 | 18% | 2 Jul → | ||
| 16–12 | -0.03 | 7% | 30 Jun → | ||
| 2–13 | -0.13 | 25% | 30 Jun → | ||
| 9–13 | -0.02 | 13% | 30 Jun → | ||
| 13–2 | 0.02 | 23% | 30 Jun → | ||
| 10–13 | -0.03 | 6% | 29 Jun → | ||
| 16–14 | -0.08 | 12% | 29 Jun → | ||
| 13–5 | -0.03 | 19% | 29 Jun → | ||
| 8–13 | -0.03 | 25% | 28 Jun → | ||
| 4–13 | -0.10 | 19% | 28 Jun → | ||
| 0–13 | -0.08 | 25% | 28 Jun → | ||
| 13–5 | -0.03 | 20% | 28 Jun → |
Match data via Leetify.