Foh`kin Scroob — CS2 Stats
HM76561198005715879[U:1:45450151]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=1,851), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 38.7% | 41.8% | 42.7% | 3.9% short |
| Shot accuracy | 18.2% | 11.9% | 10.8% | above |
| Kill/death ratio | 1.10 | 0.97 | 1.00 | above |
| Match win rate | 45.1% | 43.5% | 44.1% | above |
This profile matches the typical Level 4 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 4 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: +0pp win rate · -0.02 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 NiKo 64% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower utility contribution; 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
T-side openings. Opening success drops from 38% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 694ms 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 3.9/10 (Learning), 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 |
|---|---|---|---|---|---|
 dust2 | A | 16 | 9–7 | 56% | -0.03 |
 mirage | D | 13 | 4–9 | 31% | -0.03 |
 ancient | B | 13 | 6–7 | 46% | -0.02 |
 overpass | S | 13 | 11–2 | 85% | -0.00 |
 train | A | 11 | 6–5 | 55% | -0.01 |
 nuke | C | 8 | 3–5 | 38% | -0.03 |
 inferno | A | 7 | 4–3 | 57% | -0.03 |
 vertigo | S | 5 | 4–1 | 80% | -0.02 |
 anubis | D | 5 | 0–5 | 0% | -0.01 |
| agency | — | 3 | 2–1 | 67% | 0.01 |
| office | — | 2 | 2–0 | 100% | 0.01 |
| palacio | — | 1 | 0–1 | 0% | -0.02 |
| golden | — | 1 | 1–0 | 100% | -0.04 |
| grail | — | 1 | 1–0 | 100% | 0.00 |
| italy | — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% over 5). 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 10 | 40% | 0.75 | 12.0 |
| Overpass | 9 | 44% | 0.99 | 12.1 |
| Mirage | 7 | 57% | 1.57 | 17.0 |
| Vertigo | 7 | 57% | 1.05 | 13.4 |
| Inferno | 7 | 43% | 0.69 | 10.6 |
| Anubis | 6 | 33% | 0.74 | 11.3 |
| Dust2 | 5 | 20% | 0.55 | 8.4 |
| Nuke | 3 | 0% | 0.49 | 10.3 |
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 12.0303% — 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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 1–13 | -0.10 | 20% | 7 Apr → | |
| dust2 | 13–8 | -0.05 | 21% | 20 Mar → | |
| ancient | 13–6 | -0.02 | 16% | 6 Dec → | |
| dust2 | 7–13 | -0.05 | 24% | 6 Dec → | |
| vertigo | 8–13 | -0.06 | 23% | 24 Oct → | |
| vertigo | 5–0 | -0.12 | 25% | 24 Oct → | |
| vertigo | 13–9 | -0.04 | 13% | 23 Oct → | |
| overpass | 13–8 | 0.04 | 20% | 14 Oct → | |
| dust2 | 3–13 | -0.08 | 8% | 8 Oct → | |
| train | 11–13 | -0.03 | 7% | 3 Oct → | |
| dust2 | 13–10 | 0.01 | 21% | 3 Oct → | |
| nuke | 1–10 | -0.07 | 8% | 3 Oct → | |
| palacio | 12–12 | -0.02 | 9% | 2 Oct → | |
| golden | 13–9 | -0.04 | 10% | 2 Oct → | |
| office | 13–7 | 0.02 | 15% | 1 Oct → | |
| dust2 | 5–13 | 0.00 | 11% | 1 Oct → | |
| train | 7–13 | -0.05 | 11% | 27 Sept → | |
| overpass | 12–1 | -0.03 | 10% | 27 Sept → | |
| dust2 | 13–9 | -0.06 | 15% | 18 Sept → | |
| ancient | 10–13 | -0.04 | 13% | 17 Sept → | |
| ancient | 15–15 | 0.00 | 10% | 11 Sept → | |
| overpass | 6–13 | -0.11 | 7% | 11 Sept → | |
| ancient | 13–11 | 0.10 | 21% | 31 Aug → | |
| nuke | 3–13 | -0.02 | 19% | 31 Aug → | |
| train | 12–12 | 0.02 | 10% | 23 Aug → | |
| inferno | 13–4 | 0.00 | 33% | 23 Aug → | |
| ancient | 8–13 | 0.02 | 21% | 21 Aug → | |
| train | 13–7 | -0.03 | 19% | 21 Aug → | |
| dust2 | 6–13 | -0.08 | 45% | 20 Aug → | |
| nuke | 9–13 | -0.01 | 25% | 20 Aug → | |
| dust2 | 13–10 | -0.06 | 11% | 19 Aug → | |
| train | 13–4 | 0.03 | 20% | 19 Aug → | |
| dust2 | 8–13 | -0.05 | 13% | 19 Aug → | |
| overpass | 13–11 | -0.04 | 22% | 19 Aug → | |
| mirage | 5–13 | -0.04 | 18% | 17 Aug → | |
| mirage | 6–13 | -0.05 | 13% | 16 Aug → | |
| train | 13–8 | -0.01 | 14% | 16 Aug → | |
| nuke | 5–13 | -0.12 | 20% | 15 Aug → | |
| ancient | 1–13 | -0.09 | 16% | 15 Aug → | |
| mirage | 7–13 | -0.07 | 12% | 15 Aug → | |
| overpass | 13–9 | 0.01 | 10% | 14 Aug → | |
| overpass | 13–4 | 0.00 | 14% | 13 Aug → | |
| nuke | 13–3 | 0.00 | 7% | 13 Aug → | |
| overpass | 13–7 | -0.04 | 17% | 13 Aug → | |
| mirage | 12–12 | -0.04 | 13% | 10 Aug → | |
| mirage | 13–10 | 0.03 | 17% | 4 Aug → | |
| inferno | 13–8 | -0.05 | 20% | 3 Aug → | |
| mirage | 13–8 | -0.02 | 12% | 3 Aug → | |
| ancient | 7–13 | -0.06 | 8% | 3 Aug → | |
| dust2 | 13–5 | -0.02 | 20% | 2 Aug → | |
| ancient | 10–13 | -0.03 | 14% | 2 Aug → | |
| train | 13–5 | -0.03 | 18% | 2 Aug → | |
| ancient | 13–10 | -0.01 | 6% | 2 Aug → | |
| mirage | 13–11 | -0.00 | 14% | 2 Aug → | |
| overpass | 12–1 | 0.05 | 11% | 1 Aug → | |
| mirage | 8–13 | 0.01 | 11% | 23 Jul → | |
| vertigo | 13–0 | 0.05 | 18% | 23 Jul → | |
| overpass | 13–6 | 0.13 | 9% | 20 Jul → | |
| nuke | 13–9 | -0.01 | 7% | 19 Jul → | |
| dust2 | 13–9 | 0.00 | 23% | 19 Jul → | |
| inferno | 13–11 | -0.04 | 10% | 19 Jul → | |
| overpass | 13–8 | -0.03 | 9% | 19 Jul → | |
| train | 13–11 | -0.05 | 2% | 18 Jul → | |
| mirage | 8–13 | -0.02 | 7% | 17 Jul → | |
| inferno | 6–13 | -0.08 | 10% | 16 Jul → | |
| mirage | 3–13 | -0.04 | 10% | 16 Jul → | |
| overpass | 13–10 | 0.03 | 18% | 16 Jul → | |
| overpass | 11–13 | 0.01 | 9% | 16 Jul → | |
| nuke | 13–4 | 0.08 | 12% | 14 Jul → | |
| dust2 | 5–0 | 0.02 | 8% | 14 Jul → | |
| vertigo | 13–4 | 0.04 | 14% | 10 Jul → | |
| inferno | 8–13 | -0.04 | 13% | 10 Jul → | |
| dust2 | 9–3 | 0.03 | 14% | 10 Jul → | |
| nuke | 5–13 | -0.08 | 17% | 6 Jul → | |
| train | 13–4 | 0.05 | 11% | 5 Jul → | |
| agency | 13–11 | -0.02 | 14% | 5 Jul → | |
| ancient | 8–13 | -0.05 | 13% | 4 Jul → | |
| grail | 13–5 | 0.00 | 15% | 3 Jul → | |
| ancient | 13–4 | -0.04 | 16% | 3 Jul → | |
| train | 5–13 | -0.05 | 8% | 3 Jul → | |
| inferno | 13–5 | 0.02 | 21% | 27 Jun → | |
| ancient | 13–7 | -0.03 | 24% | 27 Jun → | |
| anubis | 2–13 | -0.03 | 20% | 25 Jun → | |
| anubis | 4–13 | -0.07 | 22% | 25 Jun → | |
| anubis | 5–13 | 0.01 | 9% | 25 Jun → | |
| anubis | 4–13 | 0.04 | 22% | 25 Jun → | |
| mirage | 11–13 | -0.02 | 14% | 24 Jun → | |
| dust2 | 7–13 | -0.04 | 29% | 24 Jun → | |
| agency | 6–13 | 0.02 | 9% | 17 Jun → | |
| agency | 13–9 | 0.04 | 12% | 14 Jun → | |
| italy | 13–6 | 0.05 | 13% | 8 Jun → | |
| office | 13–5 | 0.00 | 9% | 8 Jun → | |
| anubis | 6–13 | -0.02 | 20% | 7 Jun → | |
| ancient | 13–9 | -0.04 | 11% | 7 Jun → | |
| mirage | 13–9 | -0.03 | 10% | 7 Jun → | |
| dust2 | 13–7 | -0.02 | 14% | 7 Jun → | |
| overpass | 13–11 | -0.06 | 11% | 7 Jun → | |
| inferno | 9–13 | -0.02 | 13% | 6 Jun → | |
| train | 7–13 | 0.04 | 15% | 6 Jun → | |
| dust2 | 3–13 | -0.08 | 19% | 5 Jun → |
Match data via Leetify.
