fut1 — CS2 Stats
76561197972482100[U:1:12216372]Steam profile ↗
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 52.1% | 48.1% |
| Shot accuracy | 13.2% | 12.9% |
| Kill/death ratio | 1.14 | 1.08 |
| Match win rate | 50.6% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 93% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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
Strengths
CT openings. 74% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 74% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
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 7.4/10 (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 |
|---|---|---|---|---|---|
| A | 24 | 14–10 | 58% | 0.03 | |
| B | 16 | 8–8 | 50% | 0.02 | |
| C | 14 | 5–9 | 36% | 0.03 | |
| A | 12 | 7–5 | 58% | 0.04 | |
| B | 11 | 5–6 | 45% | 0.00 | |
| D | 9 | 3–6 | 33% | 0.04 | |
| — | 4 | 3–1 | 75% | 0.10 | |
| — | 3 | 2–1 | 67% | 0.04 | |
| fachwerk | — | 2 | 2–0 | 100% | 0.04 |
| boulder | — | 1 | 1–0 | 100% | 0.13 |
| office | — | 1 | 0–1 | 0% | -0.02 |
| alpine | — | 1 | 1–0 | 100% | 0.02 |
| — | 1 | 1–0 | 100% | 0.01 | |
| sanctum | — | 1 | 0–1 | 0% | -0.30 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (33% over 9). 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 67 | 51% | 1.30 | 17.9 |
| Mirage | 48 | 56% | 1.25 | 16.9 |
| Inferno | 47 | 62% | 1.21 | 15.5 |
| Dust2 | 43 | 56% | 1.17 | 15.6 |
| Ancient | 32 | 50% | 1.44 | 17.7 |
| Nuke | 26 | 62% | 1.48 | 18.8 |
| Overpass | 19 | 68% | 1.25 | 17.5 |
| Vertigo | 12 | 58% | 1.15 | 17.8 |
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 35.6964% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.05 | 28% | 28 Aug → | ||
| 13–11 | 0.11 | 18% | 27 Aug → | ||
| 13–11 | 0.05 | 33% | 23 Aug → | ||
| 13–4 | -0.01 | 30% | 22 Aug → | ||
| 2–13 | -0.05 | 16% | 14 Aug → | ||
| fachwerk | 13–10 | 0.06 | 32% | 14 Aug → | |
| 16–14 | 0.01 | 31% | 11 Aug → | ||
| 13–6 | -0.02 | 15% | 10 Aug → | ||
| 13–5 | 0.06 | 26% | 3 Aug → | ||
| 13–4 | 0.10 | 32% | 2 Aug → | ||
| 11–13 | 0.03 | 12% | 2 Aug → | ||
| 13–16 | 0.06 | 21% | 1 Aug → | ||
| 13–7 | 0.06 | 28% | 1 Aug → | ||
| 13–4 | 0.06 | 23% | 1 Aug → | ||
| 9–13 | -0.01 | 16% | 1 Aug → | ||
| 13–6 | 0.06 | 21% | 1 Aug → | ||
| 9–13 | 0.09 | 25% | 1 Aug → | ||
| 8–13 | -0.03 | 23% | 1 Aug → | ||
| 15–15 | -0.02 | 16% | 31 Jul → | ||
| fachwerk | 13–4 | 0.01 | 35% | 31 Jul → | |
| 11–13 | -0.01 | 23% | 24 Jul → | ||
| 15–15 | -0.02 | 19% | 24 Jul → | ||
| 6–13 | -0.00 | 22% | 24 Jul → | ||
| boulder | 4–0 | 0.13 | 21% | 24 Jul → | |
| 8–13 | 0.04 | 20% | 12 Jul → | ||
| 13–10 | 0.02 | 22% | 12 Jul → | ||
| 13–4 | 0.13 | 28% | 12 Jul → | ||
| 12–12 | -0.00 | 28% | 12 Jul → | ||
| 11–13 | 0.01 | 28% | 5 Jul → | ||
| 9–13 | -0.05 | 26% | 5 Jul → | ||
| office | 12–12 | -0.02 | 31% | 4 Jul → | |
| 5–13 | -0.08 | 16% | 4 Jul → | ||
| 13–1 | 0.09 | 36% | 4 Jul → | ||
| 13–4 | 0.20 | 26% | 4 Jul → | ||
| 9–13 | -0.04 | 34% | 4 Jul → | ||
| 4–13 | -0.11 | 38% | 4 Jul → | ||
| 13–11 | 0.03 | 23% | 4 Jul → | ||
| 13–11 | -0.02 | 19% | 4 Jul → | ||
| 13–9 | 0.03 | 15% | 4 Jul → | ||
| 13–6 | -0.00 | 15% | 4 Jul → | ||
| 5–13 | 0.01 | 20% | 4 Jul → | ||
| 5–13 | -0.05 | 17% | 3 Jul → | ||
| 16–14 | 0.08 | 17% | 3 Jul → | ||
| 13–7 | 0.06 | 31% | 3 Jul → | ||
| 16–14 | 0.02 | 23% | 3 Jul → | ||
| 13–3 | 0.09 | 12% | 3 Jul → | ||
| 13–10 | 0.04 | 23% | 3 Jul → | ||
| 13–10 | 0.05 | 25% | 3 Jul → | ||
| 13–2 | 0.11 | 35% | 3 Jul → | ||
| 0–13 | -0.02 | 20% | 26 Jun → | ||
| 6–13 | 0.04 | 23% | 26 Jun → | ||
| 13–10 | 0.15 | 18% | 26 Jun → | ||
| 6–13 | 0.00 | 29% | 22 Jun → | ||
| 11–13 | -0.03 | 21% | 22 Jun → | ||
| 9–13 | 0.03 | 24% | 22 Jun → | ||
| 11–13 | 0.07 | 25% | 21 Jun → | ||
| 13–9 | 0.03 | 18% | 13 Jun → | ||
| 13–9 | -0.01 | 23% | 13 Jun → | ||
| 15–15 | 0.01 | 33% | 13 Jun → | ||
| 13–7 | 0.02 | 18% | 13 Jun → | ||
| 13–7 | 0.08 | 27% | 13 Jun → | ||
| 13–9 | 0.17 | 22% | 13 Jun → | ||
| 13–6 | 0.04 | 19% | 13 Jun → | ||
| 13–2 | 0.09 | 22% | 13 Jun → | ||
| 13–7 | -0.02 | 15% | 13 Jun → | ||
| alpine | 13–11 | 0.02 | 30% | 12 Jun → | |
| 13–5 | 0.01 | 24% | 12 Jun → | ||
| 8–13 | 0.05 | 17% | 12 Jun → | ||
| 11–13 | 0.02 | 17% | 12 Jun → | ||
| 16–13 | 0.11 | 32% | 7 Jun → | ||
| 1–13 | -0.03 | 26% | 7 Jun → | ||
| 6–13 | -0.00 | 12% | 7 Jun → | ||
| 16–14 | 0.01 | 16% | 29 May → | ||
| 16–14 | 0.04 | 14% | 29 May → | ||
| 8–1 | 0.05 | 31% | 29 May → | ||
| 9–13 | 0.02 | 16% | 29 May → | ||
| 13–6 | 0.03 | 21% | 27 May → | ||
| 11–13 | -0.02 | 13% | 27 May → | ||
| 13–6 | 0.04 | 15% | 27 May → | ||
| 11–13 | -0.01 | 12% | 27 May → | ||
| 5–13 | -0.03 | 32% | 27 May → | ||
| 10–13 | 0.05 | 29% | 25 May → | ||
| 8–13 | 0.00 | 10% | 25 May → | ||
| 11–13 | 0.02 | 22% | 25 May → | ||
| 13–10 | 0.10 | 19% | 22 May → | ||
| 13–8 | 0.18 | 21% | 22 May → | ||
| 13–10 | 0.02 | 28% | 22 May → | ||
| 9–13 | -0.03 | 15% | 22 May → | ||
| 7–3 | 0.00 | 31% | 22 May → | ||
| 14–16 | 0.08 | 18% | 19 May → | ||
| 5–13 | 0.04 | 20% | 19 May → | ||
| 11–13 | 0.09 | 19% | 18 May → | ||
| 12–12 | 0.03 | 24% | 18 May → | ||
| 13–7 | 0.00 | 8% | 17 May → | ||
| sanctum | 0–9 | -0.30 | 29% | 17 May → | |
| 9–13 | 0.07 | 19% | 11 May → | ||
| 6–13 | 0.02 | 25% | 11 May → | ||
| 13–4 | -0.01 | 11% | 11 May → | ||
| 11–13 | -0.02 | 27% | 11 May → | ||
| 13–3 | 0.07 | 22% | 7 May → |
Match data via Leetify.
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