fou4some — CS2 Stats
US76561198393360569[U:1:433094841]Steam profile ↗1 game ban
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 | 38.4% | 40.1% | 1.7% short |
| Shot accuracy | 0.0% | 7.6% | 7.5% short |
| Kill/death ratio | 0.59 | 0.92 | 0.32 short |
| Match win rate | 33.1% | 42.2% | 9.0% short |
This profile sits below the typical Light Blue band player on every metric we can compare.
Widest gap: Shot accuracy. 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.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp 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 ropz 81% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower opening-duel success; 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. 672ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 60% 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 3.8/10 (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 |
|---|---|---|---|---|---|
| B | 29 | 15–14 | 52% | -0.02 | |
| A | 17 | 10–7 | 59% | 0.00 | |
| C | 17 | 6–11 | 35% | -0.05 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| S | 8 | 6–2 | 75% | 0.00 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| office | C | 5 | 2–3 | 40% | -0.03 |
| — | 4 | 1–3 | 25% | -0.02 | |
| — | 3 | 3–0 | 100% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Mirage 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.
- 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 35.3827% — 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 | |
|---|---|---|---|---|---|
| 13–6 | 0.08 | 8% | 29 Aug → | ||
| 6–13 | -0.05 | 10% | 29 Aug → | ||
| 13–4 | 0.05 | 10% | 29 Aug → | ||
| 12–6 | -0.01 | 13% | 29 Aug → | ||
| 13–4 | 0.03 | 12% | 29 Aug → | ||
| 13–7 | -0.03 | 11% | 29 Aug → | ||
| 13–8 | -0.01 | 17% | 29 Aug → | ||
| 13–9 | -0.03 | 13% | 29 Aug → | ||
| 1–13 | -0.01 | 16% | 27 Aug → | ||
| 9–13 | -0.10 | 57% | 27 Aug → | ||
| 8–13 | -0.00 | 32% | 27 Aug → | ||
| 3–9 | -0.15 | 21% | 27 Aug → | ||
| 9–5 | 0.14 | 10% | 27 Aug → | ||
| 5–13 | -0.10 | 20% | 27 Aug → | ||
| 8–13 | 0.05 | 22% | 26 Aug → | ||
| 13–4 | 0.01 | 23% | 26 Aug → | ||
| 13–8 | 0.01 | 11% | 26 Aug → | ||
| 11–13 | -0.03 | 15% | 26 Aug → | ||
| 6–13 | -0.02 | 11% | 26 Aug → | ||
| 13–11 | 0.09 | 13% | 26 Aug → | ||
| 14–16 | 0.05 | 17% | 26 Aug → | ||
| 7–13 | -0.01 | 22% | 26 Aug → | ||
| 13–3 | 0.10 | 18% | 26 Aug → | ||
| 13–10 | -0.04 | 16% | 26 Aug → | ||
| 0–6 | -0.05 | 13% | 25 Aug → | ||
| 13–8 | 0.08 | 14% | 25 Aug → | ||
| 13–3 | -0.04 | 31% | 25 Aug → | ||
| 1–13 | -0.01 | 21% | 25 Aug → | ||
| 13–10 | 0.01 | 9% | 25 Aug → | ||
| 7–2 | -0.08 | 14% | 9 Aug → | ||
| 13–1 | 0.09 | 11% | 9 Aug → | ||
| 6–13 | -0.08 | 11% | 9 Aug → | ||
| 6–13 | -0.06 | 12% | 8 Aug → | ||
| 13–5 | 0.02 | 11% | 4 Aug → | ||
| 4–13 | -0.02 | 29% | 4 Aug → | ||
| 6–13 | -0.09 | 8% | 3 Aug → | ||
| 8–13 | -0.01 | 24% | 27 Jul → | ||
| office | 12–12 | -0.04 | 13% | 24 Jul → | |
| 5–13 | -0.08 | 11% | 24 Jul → | ||
| 13–5 | 0.02 | 19% | 24 Jul → | ||
| 7–13 | -0.10 | 12% | 22 Jul → | ||
| 16–14 | -0.08 | 17% | 22 Jul → | ||
| 9–13 | -0.04 | 16% | 22 Jul → | ||
| 4–13 | -0.01 | 25% | 12 Jul → | ||
| 6–13 | -0.01 | 19% | 12 Jul → | ||
| 2–13 | -0.06 | 9% | 9 Jul → | ||
| 0–13 | -0.07 | 12% | 9 Jul → | ||
| 10–13 | 0.02 | 13% | 8 Jul → | ||
| 1–13 | -0.14 | 0% | 8 Jul → | ||
| 13–6 | 0.02 | 23% | 8 Jul → | ||
| office | 9–13 | 0.02 | 16% | 8 Jul → | |
| office | 13–3 | -0.03 | 22% | 8 Jul → | |
| office | 8–13 | -0.05 | 11% | 8 Jul → | |
| 9–13 | 0.00 | 12% | 7 Jul → | ||
| 10–13 | -0.00 | 13% | 7 Jul → | ||
| 9–13 | -0.09 | 18% | 5 Jul → | ||
| 7–13 | -0.07 | 21% | 4 Jul → | ||
| 13–11 | -0.08 | 6% | 4 Jul → | ||
| 13–0 | 0.05 | 37% | 4 Jul → | ||
| 3–13 | -0.06 | 29% | 4 Jul → | ||
| 9–13 | -0.01 | 9% | 4 Jul → | ||
| 13–8 | -0.04 | 16% | 3 Jul → | ||
| 13–5 | 0.04 | 18% | 3 Jul → | ||
| 4–13 | -0.06 | 20% | 3 Jul → | ||
| 13–6 | -0.03 | 14% | 3 Jul → | ||
| 13–7 | -0.07 | 14% | 3 Jul → | ||
| 1–13 | -0.07 | 7% | 3 Jul → | ||
| 12–12 | -0.08 | 8% | 3 Jul → | ||
| 13–1 | 0.01 | 32% | 3 Jul → | ||
| 13–4 | -0.08 | 7% | 3 Jul → | ||
| 7–13 | -0.08 | 9% | 3 Jul → | ||
| office | 13–11 | -0.05 | 9% | 3 Jul → | |
| 13–7 | -0.06 | 22% | 3 Jul → | ||
| 3–13 | 0.02 | 14% | 3 Jul → | ||
| 13–3 | 0.07 | 37% | 3 Jul → | ||
| 5–1 | -0.02 | 33% | 3 Jul → | ||
| 6–13 | 0.00 | 15% | 3 Jul → | ||
| 13–5 | -0.02 | 8% | 3 Jul → | ||
| 6–13 | -0.11 | 16% | 3 Jul → | ||
| 13–5 | 0.06 | 15% | 2 Jul → | ||
| 13–6 | 0.03 | 14% | 1 Jul → | ||
| 3–0 | 0.04 | 11% | 1 Jul → | ||
| 13–7 | -0.03 | 8% | 1 Jul → | ||
| 8–8 | -0.04 | 7% | 1 Jul → | ||
| 7–9 | -0.04 | 24% | 1 Jul → | ||
| 13–8 | 0.00 | 11% | 1 Jul → | ||
| 9–3 | 0.08 | 15% | 1 Jul → | ||
| 13–11 | -0.03 | 14% | 1 Jul → | ||
| 11–13 | -0.06 | 11% | 1 Jul → | ||
| 9–13 | -0.01 | 21% | 1 Jul → | ||
| 13–4 | -0.01 | 24% | 1 Jul → | ||
| 13–5 | 0.05 | 17% | 1 Jul → | ||
| 13–10 | 0.04 | 20% | 1 Jul → | ||
| 12–12 | -0.06 | 15% | 30 Jun → | ||
| 16–13 | -0.12 | 46% | 30 Jun → | ||
| 13–11 | -0.09 | 20% | 28 Jun → | ||
| 13–8 | 0.01 | 10% | 27 Jun → | ||
| 13–6 | -0.00 | 13% | 27 Jun → | ||
| 13–4 | 0.09 | 19% | 27 Jun → | ||
| 11–13 | -0.04 | 19% | 27 Jun → |
Match data via Leetify.