Foopa — CS2 Stats
ZW76561198296895760[U:1:336630032]Steam profile ↗✓ No bans
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 | vs Pink band |
|---|---|---|---|
| Headshot rate | 48.7% | 48.1% | meets |
| Shot accuracy | 14.0% | 12.9% | above |
| Kill/death ratio | 1.08 | 1.08 | meets |
| Match win rate | 44.4% | 46.5% | 2.0% short |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Pink 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: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafingStrong 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 95% playstyle similarity
Most alike: opening-fight frequency, 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
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.
CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 67% on CT to 46% 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 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 29 | 17–12 | 59% | 0.07 | |
| S | 20 | 15–5 | 75% | 0.08 | |
| S | 12 | 8–4 | 67% | 0.06 | |
| S | 12 | 9–3 | 75% | 0.11 | |
| S | 7 | 6–1 | 86% | 0.14 | |
| S | 6 | 6–0 | 100% | 0.07 | |
| B | 6 | 3–3 | 50% | 0.06 | |
| S | 6 | 4–2 | 67% | 0.05 | |
| — | 1 | 1–0 | 100% | 0.07 | |
| — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Anubis 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 11 | 45% | 0.87 | 14.3 |
| Mirage | 8 | 38% | 1.06 | 19.4 |
| Cache | 7 | 43% | 1.30 | 15.7 |
| Ancient | 5 | 60% | 0.99 | 15.8 |
| Nuke | 4 | 100% | 1.14 | 11.3 |
| Anubis | 4 | 75% | 1.21 | 16.3 |
| Inferno | 3 | 33% | 0.85 | 15.0 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.04 | 38% | 25 Aug → | ||
| 9–13 | 0.18 | 18% | 25 Aug → | ||
| 13–6 | 0.12 | 22% | 25 Aug → | ||
| 12–12 | 0.05 | 16% | 24 Aug → | ||
| 13–11 | 0.15 | 23% | 24 Aug → | ||
| 13–4 | 0.12 | 28% | 22 Aug → | ||
| 13–7 | 0.10 | 17% | 22 Aug → | ||
| 13–7 | 0.07 | 22% | 22 Aug → | ||
| 13–5 | 0.15 | 14% | 22 Aug → | ||
| 13–11 | 0.10 | 13% | 22 Aug → | ||
| 13–0 | 0.27 | 24% | 22 Aug → | ||
| 12–12 | 0.04 | 13% | 22 Aug → | ||
| 9–1 | 0.04 | 40% | 22 Aug → | ||
| 13–5 | 0.19 | 25% | 21 Aug → | ||
| 13–10 | 0.10 | 19% | 21 Aug → | ||
| 13–5 | 0.14 | 15% | 21 Aug → | ||
| 10–13 | 0.14 | 19% | 21 Aug → | ||
| 13–5 | 0.03 | 12% | 21 Aug → | ||
| 12–12 | 0.08 | 29% | 21 Aug → | ||
| 13–7 | -0.01 | 17% | 21 Aug → | ||
| 13–9 | 0.04 | 19% | 21 Aug → | ||
| 13–2 | 0.07 | 31% | 21 Aug → | ||
| 13–2 | 0.04 | 20% | 21 Aug → | ||
| 13–4 | 0.10 | 22% | 21 Aug → | ||
| 13–8 | 0.12 | 19% | 21 Aug → | ||
| 13–11 | 0.08 | 19% | 20 Aug → | ||
| 11–13 | 0.03 | 9% | 20 Aug → | ||
| 12–12 | 0.12 | 18% | 20 Aug → | ||
| 13–5 | 0.02 | 21% | 20 Aug → | ||
| 8–13 | 0.04 | 26% | 20 Aug → | ||
| 11–13 | 0.03 | 17% | 20 Aug → | ||
| 13–5 | 0.21 | 31% | 20 Aug → | ||
| 13–3 | 0.05 | 27% | 20 Aug → | ||
| 13–6 | 0.09 | 25% | 20 Aug → | ||
| 13–6 | 0.09 | 31% | 20 Aug → | ||
| 3–13 | 0.01 | 20% | 20 Aug → | ||
| 13–8 | 0.05 | 20% | 20 Aug → | ||
| 13–1 | 0.12 | 32% | 20 Aug → | ||
| 13–0 | 0.15 | 43% | 19 Aug → | ||
| 13–6 | 0.04 | 11% | 19 Aug → | ||
| 12–12 | 0.03 | 24% | 19 Aug → | ||
| 4–13 | 0.04 | 15% | 19 Aug → | ||
| 11–13 | 0.03 | 18% | 19 Aug → | ||
| 13–1 | 0.22 | 23% | 19 Aug → | ||
| 13–9 | 0.14 | 16% | 19 Aug → | ||
| 10–13 | 0.07 | 23% | 19 Aug → | ||
| 13–8 | 0.09 | 19% | 18 Aug → | ||
| 9–13 | 0.10 | 16% | 18 Aug → | ||
| 13–8 | 0.06 | 21% | 18 Aug → | ||
| 13–3 | 0.18 | 21% | 18 Aug → | ||
| 13–4 | 0.17 | 20% | 15 Aug → | ||
| 13–3 | 0.03 | 23% | 15 Aug → | ||
| 13–10 | -0.00 | 6% | 15 Aug → | ||
| 13–4 | 0.05 | 22% | 15 Aug → | ||
| 6–13 | -0.01 | 31% | 14 Aug → | ||
| 7–13 | 0.04 | 25% | 14 Aug → | ||
| 13–9 | 0.04 | 24% | 14 Aug → | ||
| 13–4 | -0.02 | 10% | 14 Aug → | ||
| 13–9 | 0.08 | 22% | 14 Aug → | ||
| 13–10 | 0.11 | 25% | 13 Aug → | ||
| 9–13 | -0.05 | 21% | 13 Aug → | ||
| 13–7 | 0.21 | 20% | 13 Aug → | ||
| 13–5 | 0.01 | 24% | 13 Aug → | ||
| 13–5 | 0.07 | 17% | 13 Aug → | ||
| 8–13 | -0.07 | 7% | 10 Aug → | ||
| 11–13 | 0.04 | 16% | 7 Aug → | ||
| 8–13 | 0.06 | 14% | 7 Aug → | ||
| 7–13 | 0.08 | 17% | 7 Aug → | ||
| 13–5 | 0.05 | 21% | 7 Aug → | ||
| 7–13 | -0.05 | 20% | 7 Aug → | ||
| 13–4 | 0.14 | 23% | 5 Aug → | ||
| 13–3 | 0.11 | 24% | 5 Aug → | ||
| 13–8 | 0.11 | 26% | 5 Aug → | ||
| 11–1 | 0.11 | 15% | 5 Aug → | ||
| 1–6 | 0.06 | 31% | 5 Aug → | ||
| 13–10 | 0.03 | 21% | 5 Aug → | ||
| 13–1 | 0.25 | 16% | 5 Aug → | ||
| 12–12 | 0.19 | 26% | 5 Aug → | ||
| 13–3 | 0.11 | 28% | 5 Aug → | ||
| 13–10 | 0.01 | 25% | 5 Aug → | ||
| 13–4 | -0.01 | 11% | 4 Aug → | ||
| 15–15 | 0.02 | 11% | 4 Aug → | ||
| 13–6 | 0.14 | 14% | 4 Aug → | ||
| 13–6 | 0.04 | 21% | 4 Aug → | ||
| 1–13 | -0.04 | 5% | 4 Aug → | ||
| 9–0 | 0.02 | 21% | 4 Aug → | ||
| 13–1 | 0.13 | 28% | 4 Aug → | ||
| 8–0 | 0.17 | 17% | 4 Aug → | ||
| 13–6 | 0.11 | 24% | 4 Aug → | ||
| 13–0 | 0.06 | 12% | 4 Aug → | ||
| 13–9 | 0.13 | 18% | 4 Aug → | ||
| 3–0 | -0.07 | 0% | 4 Aug → | ||
| 13–5 | 0.09 | 11% | 4 Aug → | ||
| 13–4 | 0.08 | 26% | 4 Aug → | ||
| 13–9 | 0.09 | 15% | 4 Aug → | ||
| 13–1 | 0.18 | 15% | 4 Aug → | ||
| 9–13 | 0.08 | 21% | 3 Aug → | ||
| 4–13 | 0.07 | 20% | 3 Aug → | ||
| 7–13 | 0.08 | 21% | 3 Aug → | ||
| 13–2 | 0.07 | 29% | 3 Aug → |
Match data via Leetify.