ุGHØST — CS2 Stats
US76561198899110738[U:1:938845010]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | Level 10 median |
|---|---|---|
| Headshot rate | 45.6% | 52.8% |
| Shot accuracy | 9.6% | 13.7% |
| Kill/death ratio | 1.22 | 1.08 |
| Match win rate | 46.3% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 46% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 587ms 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 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 21 | 8–13 | 38% | 0.02 | |
| C | 18 | 8–10 | 44% | 0.03 | |
| A | 11 | 7–4 | 64% | 0.10 | |
| C | 10 | 4–6 | 40% | 0.04 | |
| A | 10 | 6–4 | 60% | -0.00 | |
| A | 9 | 5–4 | 56% | 0.02 | |
| D | 7 | 0–7 | 0% | 0.04 | |
| — | 4 | 2–2 | 50% | 0.07 | |
| — | 4 | 3–1 | 75% | -0.00 | |
| office | — | 2 | 1–1 | 50% | 0.02 |
| italy | — | 1 | 0–1 | 0% | -0.01 |
| eldorado | — | 1 | 1–0 | 100% | 0.04 |
| poseidon | — | 1 | 0–1 | 0% | 0.07 |
| — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Vertigo 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 349 | 50% | 1.12 | 16.6 |
| Dust2 | 179 | 46% | 1.05 | 15.3 |
| Ancient | 159 | 49% | 1.07 | 15.6 |
| Nuke | 130 | 48% | 1.11 | 16.3 |
| Inferno | 67 | 45% | 1.07 | 15.7 |
| Anubis | 65 | 55% | 1.17 | 17.9 |
| Overpass | 47 | 45% | 1.18 | 16.7 |
| Vertigo | 36 | 58% | 1.18 | 16.5 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
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.
- 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 25.8637% — 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.
0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.12 | 21% | 28 Aug → | ||
| 12–12 | -0.07 | 17% | 28 Aug → | ||
| 13–11 | 0.01 | 18% | 27 Aug → | ||
| 4–13 | 0.05 | 18% | 27 Aug → | ||
| 12–12 | 0.00 | 20% | 27 Aug → | ||
| 4–13 | 0.02 | 15% | 27 Aug → | ||
| 11–13 | -0.01 | 14% | 26 Aug → | ||
| 13–6 | 0.01 | 15% | 26 Aug → | ||
| 11–13 | 0.04 | 27% | 25 Aug → | ||
| 13–3 | 0.07 | 14% | 25 Aug → | ||
| 10–13 | 0.00 | 25% | 25 Aug → | ||
| 10–13 | 0.03 | 33% | 24 Aug → | ||
| 13–5 | 0.03 | 27% | 24 Aug → | ||
| 3–13 | -0.05 | 24% | 24 Aug → | ||
| 14–16 | -0.00 | 18% | 24 Aug → | ||
| 13–10 | -0.04 | 11% | 24 Aug → | ||
| 3–13 | -0.01 | 28% | 24 Aug → | ||
| 6–13 | 0.07 | 20% | 23 Aug → | ||
| 13–7 | 0.06 | 21% | 23 Aug → | ||
| 13–6 | 0.14 | 19% | 23 Aug → | ||
| 8–13 | -0.07 | 9% | 21 Aug → | ||
| 13–8 | 0.04 | 17% | 21 Aug → | ||
| 13–5 | 0.12 | 27% | 19 Aug → | ||
| 10–13 | 0.04 | 15% | 19 Aug → | ||
| 13–8 | 0.08 | 18% | 18 Aug → | ||
| 8–13 | -0.02 | 23% | 17 Aug → | ||
| 7–13 | 0.09 | 20% | 17 Aug → | ||
| 7–13 | 0.00 | 27% | 17 Aug → | ||
| italy | 9–13 | -0.01 | 18% | 16 Aug → | |
| 13–11 | 0.01 | 18% | 16 Aug → | ||
| 13–11 | 0.06 | 19% | 15 Aug → | ||
| 6–13 | -0.01 | 9% | 14 Aug → | ||
| 12–12 | 0.01 | 14% | 13 Aug → | ||
| office | 13–9 | 0.04 | 23% | 13 Aug → | |
| 13–9 | -0.03 | 15% | 13 Aug → | ||
| 13–4 | 0.08 | 24% | 13 Aug → | ||
| 7–13 | 0.01 | 19% | 13 Aug → | ||
| 13–9 | 0.09 | 20% | 13 Aug → | ||
| 13–5 | 0.26 | 24% | 13 Aug → | ||
| 13–2 | -0.02 | 14% | 13 Aug → | ||
| 13–7 | 0.03 | 8% | 13 Aug → | ||
| 16–14 | -0.01 | 13% | 12 Aug → | ||
| 13–2 | 0.01 | 11% | 12 Aug → | ||
| eldorado | 9–7 | 0.04 | 26% | 10 Aug → | |
| 5–9 | 0.04 | 24% | 10 Aug → | ||
| 9–4 | 0.37 | 17% | 10 Aug → | ||
| 9–13 | 0.02 | 30% | 9 Aug → | ||
| 13–7 | 0.05 | 21% | 9 Aug → | ||
| 13–5 | 0.05 | 12% | 9 Aug → | ||
| 13–7 | 0.13 | 13% | 9 Aug → | ||
| 4–9 | -0.02 | 25% | 9 Aug → | ||
| 7–13 | -0.00 | 15% | 9 Aug → | ||
| 2–13 | 0.04 | 18% | 8 Aug → | ||
| 4–13 | 0.03 | 27% | 8 Aug → | ||
| 13–5 | 0.11 | 10% | 8 Aug → | ||
| 8–13 | -0.02 | 8% | 8 Aug → | ||
| 7–3 | -0.03 | 41% | 8 Aug → | ||
| 9–13 | -0.04 | 13% | 8 Aug → | ||
| 9–13 | 0.01 | 19% | 7 Aug → | ||
| 9–2 | 0.28 | 22% | 7 Aug → | ||
| 4–9 | 0.01 | 13% | 7 Aug → | ||
| 7–9 | 0.05 | 19% | 6 Aug → | ||
| 13–11 | -0.06 | 20% | 6 Aug → | ||
| 8–8 | -0.00 | 16% | 5 Aug → | ||
| 13–8 | 0.01 | 16% | 5 Aug → | ||
| 12–12 | 0.06 | 9% | 5 Aug → | ||
| 4–13 | 0.03 | 19% | 5 Aug → | ||
| 7–13 | 0.04 | 16% | 5 Aug → | ||
| 13–5 | 0.05 | 9% | 5 Aug → | ||
| 3–13 | -0.02 | 20% | 5 Aug → | ||
| 6–9 | 0.03 | 6% | 5 Aug → | ||
| 10–13 | 0.03 | 19% | 5 Aug → | ||
| 13–3 | 0.13 | 22% | 4 Aug → | ||
| 7–9 | 0.08 | 21% | 4 Aug → | ||
| 16–12 | 0.07 | 16% | 4 Aug → | ||
| 13–10 | 0.04 | 20% | 4 Aug → | ||
| 13–9 | 0.07 | 20% | 4 Aug → | ||
| 13–10 | 0.07 | 20% | 4 Aug → | ||
| 6–13 | 0.04 | 13% | 3 Aug → | ||
| 8–8 | 0.11 | 16% | 2 Aug → | ||
| office | 1–9 | -0.00 | 44% | 2 Aug → | |
| 5–13 | -0.07 | 19% | 2 Aug → | ||
| 4–13 | -0.00 | 55% | 2 Aug → | ||
| 8–13 | 0.06 | 25% | 2 Aug → | ||
| 3–10 | -0.05 | 18% | 1 Aug → | ||
| 13–10 | 0.02 | 15% | 1 Aug → | ||
| 13–7 | -0.03 | 23% | 1 Aug → | ||
| 11–13 | 0.07 | 34% | 31 Jul → | ||
| 13–4 | 0.15 | 25% | 31 Jul → | ||
| 1–13 | 0.00 | 0% | 29 Jul → | ||
| poseidon | 7–9 | 0.07 | 9% | 28 Jul → | |
| 9–6 | 0.10 | 17% | 28 Jul → | ||
| 5–9 | 0.06 | 17% | 28 Jul → | ||
| 5–9 | 0.06 | 30% | 28 Jul → | ||
| 16–14 | -0.06 | 10% | 28 Jul → | ||
| 15–15 | -0.01 | 21% | 27 Jul → | ||
| 1–13 | -0.13 | 33% | 27 Jul → | ||
| 13–11 | 0.00 | 11% | 27 Jul → | ||
| 13–2 | 0.14 | 10% | 27 Jul → | ||
| 13–9 | 0.11 | 16% | 27 Jul → |
Match data via Leetify.
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