fantasmiK — CS2 Stats
76561198122291204[U:1:162025476]✓ 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 | 60.1% | 52.8% |
| Shot accuracy | 19.1% | 13.7% |
| Kill/death ratio | 0.91 | 1.08 |
| Match win rate | 55.2% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerHigh utility contribution
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 iM 92% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: higher 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
Strengths
Utility. Utility score of 80 — grenade impact well above the norm.
Areas to improve
T-side openings. Opening success drops from 59% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 595ms 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 7.6/10 (Strong), 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 |
|---|---|---|---|---|---|
| S | 36 | 28–8 | 78% | 0.01 | |
| S | 26 | 22–4 | 85% | 0.02 | |
| S | 19 | 15–4 | 79% | 0.01 | |
| S | 8 | 6–2 | 75% | 0.02 | |
| A | 7 | 4–3 | 57% | 0.04 | |
| — | 4 | 2–2 | 50% | 0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (57% over 7). Start with the 6 essential Ancient 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 285 | 56% | 1.26 | 17.6 |
| Inferno | 262 | 69% | 1.32 | 16.8 |
| Ancient | 182 | 49% | 1.19 | 17.3 |
| Dust2 | 179 | 55% | 1.15 | 16.3 |
| Mirage | 123 | 41% | 1.13 | 16.3 |
| Overpass | 107 | 60% | 1.29 | 18.7 |
| Vertigo | 95 | 56% | 1.26 | 16.8 |
| Train | 30 | 50% | 1.05 | 16.1 |
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 33.9157% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.03 | 28% | 27 Jun → | ||
| 13–9 | 0.01 | 26% | 27 Jun → | ||
| 16–12 | 0.05 | 27% | 19 Jun → | ||
| 13–8 | 0.03 | 25% | 18 Jun → | ||
| 13–10 | -0.05 | 23% | 16 Jun → | ||
| 13–5 | 0.00 | 25% | 16 Jun → | ||
| 3–13 | -0.05 | 10% | 15 Jun → | ||
| 13–6 | -0.04 | 21% | 11 Jun → | ||
| 4–13 | -0.06 | 35% | 10 Jun → | ||
| 13–6 | 0.07 | 30% | 10 Jun → | ||
| 11–13 | -0.00 | 30% | 4 Jun → | ||
| 11–13 | -0.00 | 30% | 4 Jun → | ||
| 13–9 | 0.07 | 29% | 28 May → | ||
| 13–7 | 0.09 | 28% | 28 May → | ||
| 4–13 | 0.02 | 25% | 8 May → | ||
| 13–9 | -0.02 | 16% | 7 May → | ||
| 13–3 | 0.10 | 29% | 6 May → | ||
| 13–8 | 0.00 | 21% | 6 May → | ||
| 13–5 | 0.02 | 26% | 5 May → | ||
| 13–3 | -0.04 | 16% | 5 May → | ||
| 9–13 | 0.06 | 40% | 5 Apr → | ||
| 13–6 | 0.04 | 23% | 5 Apr → | ||
| 13–3 | 0.04 | 29% | 5 Apr → | ||
| 1–13 | -0.04 | 24% | 2 Apr → | ||
| 7–13 | 0.07 | 25% | 2 Apr → | ||
| 16–13 | -0.01 | 27% | 1 Apr → | ||
| 6–13 | 0.04 | 45% | 30 Mar → | ||
| 13–5 | -0.01 | 13% | 30 Mar → | ||
| 13–10 | 0.09 | 17% | 27 Mar → | ||
| 13–1 | 0.07 | 35% | 27 Mar → | ||
| 5–13 | 0.03 | 39% | 27 Mar → | ||
| 13–10 | 0.07 | 39% | 27 Mar → | ||
| 13–6 | 0.06 | 31% | 26 Mar → | ||
| 13–8 | 0.15 | 35% | 26 Mar → | ||
| 13–11 | 0.01 | 10% | 16 Mar → | ||
| 13–10 | 0.02 | 29% | 11 Mar → | ||
| 16–19 | -0.01 | 18% | 8 Mar → | ||
| 7–13 | -0.02 | 28% | 25 Feb → | ||
| 13–6 | 0.02 | 28% | 22 Feb → | ||
| 13–5 | -0.01 | 29% | 22 Feb → | ||
| 13–11 | -0.03 | 17% | 21 Feb → | ||
| 10–13 | -0.04 | 26% | 21 Feb → | ||
| 5–13 | -0.01 | 46% | 21 Feb → | ||
| 13–7 | 0.01 | 20% | 18 Feb → | ||
| 13–5 | 0.06 | 27% | 17 Feb → | ||
| 13–4 | 0.04 | 14% | 17 Feb → | ||
| 13–10 | 0.04 | 22% | 10 Feb → | ||
| 13–6 | 0.03 | 24% | 31 Jan → | ||
| 9–13 | 0.02 | 24% | 30 Jan → | ||
| 13–9 | -0.01 | 28% | 27 Jan → | ||
| 13–6 | -0.02 | 18% | 27 Jan → | ||
| 13–10 | -0.02 | 21% | 27 Jan → | ||
| 13–7 | -0.01 | 38% | 26 Jan → | ||
| 13–10 | -0.05 | 21% | 26 Jan → | ||
| 13–9 | 0.03 | 50% | 26 Jan → | ||
| 13–9 | -0.01 | 29% | 26 Jan → | ||
| 13–8 | -0.04 | 20% | 24 Jan → | ||
| 13–6 | -0.02 | 29% | 23 Jan → | ||
| 13–4 | -0.01 | 33% | 23 Jan → | ||
| 11–12 | 0.02 | 33% | 22 Jan → | ||
| 13–9 | -0.00 | 24% | 18 Jan → | ||
| 13–10 | 0.03 | 16% | 17 Jan → | ||
| 13–4 | -0.02 | 26% | 17 Jan → | ||
| 13–5 | -0.03 | 44% | 17 Jan → | ||
| 13–9 | 0.06 | 24% | 16 Jan → | ||
| 13–11 | 0.06 | 19% | 16 Jan → | ||
| 13–7 | 0.04 | 18% | 11 Jan → | ||
| 6–13 | -0.00 | 18% | 11 Jan → | ||
| 13–7 | 0.02 | 17% | 10 Jan → | ||
| 16–13 | 0.05 | 14% | 10 Jan → | ||
| 12–16 | -0.02 | 27% | 9 Jan → | ||
| 13–10 | 0.00 | 27% | 8 Jan → | ||
| 13–6 | 0.07 | 24% | 1 Jan → | ||
| 13–8 | 0.01 | 22% | 30 Dec → | ||
| 13–4 | 0.09 | 21% | 18 Dec → | ||
| 13–8 | 0.05 | 22% | 3 Dec → | ||
| 13–8 | -0.01 | 21% | 3 Dec → | ||
| 13–3 | 0.04 | 36% | 2 Dec → | ||
| 13–8 | 0.06 | 26% | 30 Nov → | ||
| 13–8 | -0.03 | 31% | 29 Nov → | ||
| 13–11 | 0.05 | 31% | 29 Nov → | ||
| 8–13 | 0.02 | 18% | 29 Nov → | ||
| 13–11 | 0.04 | 22% | 27 Nov → | ||
| 13–6 | 0.03 | 13% | 27 Nov → | ||
| 16–14 | -0.06 | 23% | 24 Nov → | ||
| 9–13 | -0.01 | 32% | 18 Nov → | ||
| 13–8 | -0.02 | 27% | 17 Nov → | ||
| 13–7 | 0.03 | 16% | 17 Nov → | ||
| 16–12 | 0.08 | 25% | 11 Nov → | ||
| 16–12 | 0.01 | 25% | 10 Nov → | ||
| 13–9 | 0.01 | 23% | 10 Nov → | ||
| 13–4 | 0.03 | 30% | 6 Nov → | ||
| 16–14 | 0.02 | 21% | 6 Nov → | ||
| 10–13 | -0.02 | 28% | 18 Oct → | ||
| 13–4 | 0.07 | 25% | 18 Oct → | ||
| 13–5 | 0.04 | 26% | 18 Oct → | ||
| 16–13 | -0.06 | 25% | 1 Oct → | ||
| 13–3 | 0.06 | 21% | 1 Oct → | ||
| 8–13 | -0.03 | 10% | 21 Sept → | ||
| 13–9 | 0.04 | 32% | 20 Sept → |
Match data via Leetify.
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