Mediocre Beans — CS2 Stats
76561198170870761[U:1:210605033]✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 40.0% | 42.7% | 44.0% | 4.0% short |
| Shot accuracy | 12.9% | 10.8% | 11.6% | above |
| Kill/death ratio | 1.10 | 1.00 | 1.03 | above |
| Match win rate | 44.0% | 44.1% | 45.1% | 1.1% short |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 5 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
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 donk 84% playstyle similarity
Most alike: opening-fight frequency, 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
Reaction time. 627ms 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 5.7/10 (Solid), 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 |
|---|---|---|---|---|---|
 ancient | B | 22 | 10–12 | 45% | -0.02 |
 nuke | C | 17 | 7–10 | 41% | -0.01 |
 overpass | A | 11 | 7–4 | 64% | -0.02 |
 dust2 | D | 10 | 3–7 | 30% | -0.02 |
 mirage | D | 9 | 2–7 | 22% | -0.02 |
 train | S | 9 | 6–3 | 67% | 0.03 |
 inferno | C | 8 | 3–5 | 38% | -0.03 |
 anubis | D | 8 | 0–8 | 0% | -0.02 |
 cache | — | 2 | 1–1 | 50% | -0.03 |
| shelter | — | 1 | 0–1 | 0% | -0.05 |
| office | — | 1 | 1–0 | 100% | 0.02 |
| agency | — | 1 | 1–0 | 100% | 0.06 |
| palacio | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% over 8). 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 2 | 50% | 1.18 | 20.5 |
| Inferno | 2 | 50% | 1.27 | 22.5 |
| Nuke | 2 | 100% | 1.08 | 14.0 |
| Train | 1 | 100% | 1.15 | 15.0 |
| Anubis | 1 | 0% | 0.69 | 11.0 |
| Vertigo | 1 | 100% | 2.50 | 25.0 |
| Mirage | 1 | 100% | 2.14 | 15.0 |
| Dust2 | 1 | 0% | 0.76 | 13.0 |
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.
Recommended for you
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 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 5–13 | -0.09 | 20% | 16 Jul → | |
| shelter | 12–12 | -0.05 | 7% | 16 Jul → | |
| ancient | 9–13 | -0.01 | 14% | 9 Jul → | |
| cache | 13–11 | 0.03 | 16% | 29 Apr → | |
| office | 13–7 | 0.02 | 15% | 28 Apr → | |
| mirage | 3–13 | -0.03 | 19% | 22 Apr → | |
| nuke | 13–3 | -0.05 | 24% | 19 Apr → | |
| ancient | 7–13 | -0.05 | 11% | 15 Apr → | |
| dust2 | 13–11 | -0.08 | 16% | 13 Apr → | |
| mirage | 12–16 | 0.00 | 12% | 28 Jan → | |
| inferno | 16–13 | -0.02 | 17% | 24 Jan → | |
| overpass | 9–13 | -0.05 | 14% | 19 Jan → | |
| train | 11–13 | 0.05 | 15% | 18 Jan → | |
| nuke | 8–13 | -0.06 | 6% | 19 Nov → | |
| inferno | 11–13 | -0.01 | 20% | 18 Nov → | |
| ancient | 13–7 | 0.00 | 17% | 18 Nov → | |
| train | 15–15 | -0.00 | 13% | 18 Nov → | |
| overpass | 13–9 | -0.03 | 16% | 17 Nov → | |
| dust2 | 11–13 | -0.01 | 30% | 17 Nov → | |
| inferno | 13–7 | -0.02 | 13% | 17 Nov → | |
| overpass | 13–9 | 0.05 | 13% | 17 Nov → | |
| ancient | 13–7 | 0.02 | 15% | 15 Nov → | |
| nuke | 13–3 | 0.03 | 12% | 15 Nov → | |
| overpass | 5–13 | 0.02 | 19% | 15 Nov → | |
| nuke | 13–6 | 0.06 | 17% | 15 Nov → | |
| dust2 | 10–13 | -0.02 | 12% | 14 Nov → | |
| overpass | 10–13 | -0.04 | 18% | 12 Nov → | |
| nuke | 13–10 | -0.01 | 16% | 12 Nov → | |
| mirage | 15–15 | -0.05 | 19% | 11 Nov → | |
| ancient | 2–5 | -0.08 | 17% | 10 Nov → | |
| dust2 | 7–13 | -0.05 | 27% | 10 Nov → | |
| nuke | 9–4 | 0.09 | 22% | 5 Nov → | |
| ancient | 10–13 | -0.04 | 23% | 5 Nov → | |
| inferno | 8–13 | -0.04 | 24% | 3 Nov → | |
| ancient | 11–13 | -0.06 | 22% | 3 Nov → | |
| mirage | 10–13 | -0.02 | 15% | 3 Nov → | |
| ancient | 12–2 | -0.02 | 7% | 3 Nov → | |
| overpass | 13–6 | -0.07 | 28% | 2 Nov → | |
| train | 13–8 | 0.06 | 23% | 2 Nov → | |
| ancient | 10–13 | -0.01 | 17% | 2 Nov → | |
| nuke | 11–13 | 0.03 | 28% | 2 Nov → | |
| inferno | 9–13 | -0.09 | 7% | 31 Oct → | |
| ancient | 13–7 | -0.00 | 20% | 31 Oct → | |
| dust2 | 7–13 | 0.00 | 15% | 29 Oct → | |
| train | 13–10 | 0.09 | 15% | 29 Oct → | |
| nuke | 5–13 | -0.03 | 5% | 28 Oct → | |
| dust2 | 13–10 | 0.01 | 18% | 28 Oct → | |
| train | 13–5 | 0.05 | 26% | 28 Oct → | |
| ancient | 13–10 | -0.03 | 15% | 28 Oct → | |
| dust2 | 9–13 | -0.01 | 18% | 27 Oct → | |
| nuke | 6–13 | -0.01 | 20% | 27 Oct → | |
| mirage | 13–6 | -0.02 | 12% | 27 Oct → | |
| train | 5–13 | 0.01 | 14% | 27 Oct → | |
| inferno | 10–13 | -0.06 | 10% | 24 Oct → | |
| overpass | 13–11 | -0.01 | 16% | 24 Oct → | |
| ancient | 4–13 | 0.01 | 20% | 22 Oct → | |
| ancient | 7–13 | 0.06 | 11% | 21 Oct → | |
| mirage | 6–13 | 0.04 | 22% | 21 Oct → | |
| inferno | 6–13 | -0.01 | 4% | 20 Oct → | |
| inferno | 16–13 | -0.00 | 28% | 17 Oct → | |
| overpass | 13–9 | -0.01 | 13% | 17 Oct → | |
| overpass | 7–13 | -0.08 | 17% | 16 Oct → | |
| ancient | 13–7 | -0.02 | 15% | 16 Oct → | |
| nuke | 7–13 | -0.05 | 10% | 12 Oct → | |
| mirage | 10–13 | -0.04 | 22% | 11 Oct → | |
| overpass | 13–7 | -0.05 | 18% | 11 Oct → | |
| train | 13–5 | -0.05 | 15% | 11 Oct → | |
| ancient | 13–2 | 0.00 | 14% | 11 Oct → | |
| ancient | 7–13 | 0.01 | 17% | 10 Oct → | |
| nuke | 11–13 | 0.02 | 18% | 8 Oct → | |
| ancient | 13–8 | -0.03 | 7% | 8 Oct → | |
| train | 16–14 | -0.02 | 9% | 7 Oct → | |
| nuke | 15–15 | -0.01 | 11% | 6 Oct → | |
| overpass | 13–5 | 0.03 | 14% | 6 Oct → | |
| agency | 13–10 | 0.06 | 18% | 5 Oct → | |
| palacio | 12–12 | -0.02 | 22% | 2 Oct → | |
| nuke | 8–13 | -0.08 | 12% | 2 Aug → | |
| dust2 | 13–8 | 0.03 | 11% | 2 Aug → | |
| nuke | 1–13 | -0.06 | 9% | 29 Jul → | |
| anubis | 9–13 | 0.01 | 18% | 14 Jul → | |
| mirage | 13–6 | -0.04 | 36% | 14 Jul → | |
| dust2 | 5–13 | -0.06 | 10% | 11 Jul → | |
| anubis | 3–13 | -0.09 | 16% | 11 Jun → | |
| anubis | 9–13 | 0.02 | 16% | 7 Mar → | |
| ancient | 15–15 | -0.07 | 11% | 7 Mar → | |
| ancient | 15–15 | -0.07 | 15% | 5 Mar → | |
| anubis | 14–16 | 0.03 | 14% | 4 Mar → | |
| dust2 | 7–13 | -0.03 | 9% | 4 Mar → | |
| anubis | 15–15 | -0.02 | 10% | 4 Mar → | |
| ancient | 8–13 | 0.03 | 13% | 4 Mar → | |
| train | 13–4 | 0.06 | 21% | 3 Mar → | |
| nuke | 9–13 | -0.07 | 22% | 2 Mar → | |
| mirage | 7–13 | -0.01 | 12% | 2 Mar → | |
| ancient | 13–4 | 0.05 | 9% | 2 Mar → | |
| anubis | 11–13 | -0.06 | 15% | 2 Mar → | |
| nuke | 13–10 | -0.01 | 18% | 2 Mar → | |
| anubis | 6–13 | -0.01 | 8% | 28 Feb → | |
| anubis | 9–13 | -0.04 | 15% | 27 Feb → | |
| ancient | 13–11 | -0.00 | 11% | 25 Feb → | |
| nuke | 13–3 | -0.00 | 10% | 25 Feb → |
Match data via Leetify.
