raspberry — CS2 Stats
US76561198356977488[U:1:396711760]Steam profile ↗✓ 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 | 58.3% | 42.7% | 44.0% | above |
| Shot accuracy | 7.3% | 10.8% | 11.6% | 4.4% short |
| Kill/death ratio | 1.00 | 1.00 | 1.03 | 0.03 short |
| Match win rate | 40.5% | 44.1% | 45.1% | 4.6% short |
This profile matches the typical Level 5 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. 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: -30pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 b1t 84% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 622ms 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 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
 inferno | C | 24 | 10–14 | 42% | -0.01 |
 mirage | C | 16 | 6–10 | 38% | -0.02 |
| office | D | 15 | 4–11 | 27% | -0.01 |
 vertigo | B | 10 | 5–5 | 50% | -0.02 |
 dust2 | B | 8 | 4–4 | 50% | -0.00 |
| italy | B | 6 | 3–3 | 50% | -0.02 |
 nuke | D | 5 | 1–4 | 20% | -0.03 |
 cache | S | 5 | 4–1 | 80% | 0.03 |
 anubis | — | 4 | 3–1 | 75% | -0.02 |
 train | — | 3 | 3–0 | 100% | 0.03 |
 ancient | — | 2 | 1–1 | 50% | 0.05 |
 overpass | — | 2 | 2–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 48 | 60% | 0.94 | 13.3 |
| Mirage | 36 | 50% | 0.91 | 13.8 |
| Anubis | 36 | 33% | 0.71 | 11.9 |
| Ancient | 12 | 25% | 0.68 | 12.0 |
| Nuke | 10 | 50% | 1.18 | 13.8 |
| Overpass | 10 | 30% | 0.92 | 12.7 |
| Dust2 | 5 | 80% | 1.01 | 17.4 |
| Vertigo | 3 | 33% | 0.75 | 12.7 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2427 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–5 | 0.04 | 28% | 28 Aug → | |
| office | 8–13 | -0.04 | 16% | 28 Aug → | |
| mirage | 4–13 | -0.01 | 41% | 9 Aug → | |
| office | 1–13 | -0.08 | 32% | 9 Aug → | |
| inferno | 10–13 | -0.05 | 26% | 9 Aug → | |
| anubis | 8–13 | -0.05 | 33% | 9 Aug → | |
| vertigo | 10–13 | 0.01 | 27% | 9 Aug → | |
| italy | 6–13 | -0.06 | 35% | 21 Jul → | |
| italy | 8–13 | -0.04 | 30% | 6 Jul → | |
| mirage | 2–13 | -0.03 | 35% | 6 Jul → | |
| inferno | 10–13 | -0.02 | 20% | 5 Jul → | |
| vertigo | 6–13 | -0.06 | 32% | 19 Jun → | |
| inferno | 7–13 | 0.00 | 29% | 19 Jun → | |
| mirage | 11–13 | -0.05 | 20% | 18 Jun → | |
| inferno | 13–11 | 0.03 | 28% | 18 Jun → | |
| nuke | 2–13 | -0.08 | 25% | 18 Jun → | |
| mirage | 13–8 | 0.03 | 29% | 18 Jun → | |
| anubis | 13–9 | 0.01 | 18% | 18 Jun → | |
| cache | 13–10 | -0.03 | 22% | 16 Jun → | |
| mirage | 11–13 | -0.02 | 24% | 16 Jun → | |
| mirage | 13–7 | -0.00 | 36% | 10 Jun → | |
| inferno | 7–13 | -0.03 | 15% | 9 Jun → | |
| office | 10–13 | -0.06 | 48% | 5 Jun → | |
| inferno | 13–5 | 0.02 | 27% | 5 Jun → | |
| inferno | 13–5 | 0.05 | 50% | 3 Jun → | |
| italy | 13–6 | -0.05 | 23% | 3 Jun → | |
| inferno | 13–8 | 0.04 | 31% | 28 May → | |
| cache | 13–5 | 0.04 | 33% | 27 May → | |
| cache | 9–4 | 0.05 | 30% | 27 May → | |
| cache | 7–13 | -0.06 | 13% | 17 May → | |
| mirage | 13–3 | -0.06 | 17% | 17 May → | |
| cache | 13–3 | 0.16 | 27% | 30 Apr → | |
| vertigo | 13–10 | -0.03 | 21% | 26 Apr → | |
| dust2 | 8–13 | 0.00 | 19% | 26 Apr → | |
| mirage | 13–8 | 0.01 | 24% | 21 Apr → | |
| vertigo | 13–4 | -0.02 | 13% | 18 Apr → | |
| inferno | 13–10 | -0.05 | 16% | 18 Apr → | |
| inferno | 12–12 | -0.05 | 18% | 16 Apr → | |
| mirage | 10–13 | -0.07 | 30% | 16 Apr → | |
| office | 12–12 | 0.06 | 35% | 15 Apr → | |
| office | 11–13 | -0.03 | 17% | 14 Apr → | |
| office | 13–6 | 0.00 | 58% | 14 Apr → | |
| italy | 13–2 | -0.03 | 18% | 14 Apr → | |
| office | 5–13 | -0.08 | 31% | 14 Apr → | |
| vertigo | 5–13 | -0.07 | 21% | 13 Apr → | |
| office | 13–7 | 0.01 | 41% | 13 Apr → | |
| inferno | 6–13 | -0.07 | 17% | 13 Apr → | |
| inferno | 13–9 | -0.06 | 25% | 9 Apr → | |
| anubis | 13–4 | 0.03 | 21% | 9 Apr → | |
| italy | 13–0 | 0.04 | 43% | 9 Apr → | |
| inferno | 4–13 | -0.02 | 19% | 6 Apr → | |
| mirage | 6–13 | -0.01 | 33% | 5 Apr → | |
| inferno | 7–13 | -0.03 | 17% | 2 Apr → | |
| vertigo | 3–13 | -0.07 | 12% | 1 Apr → | |
| mirage | 13–4 | 0.10 | 18% | 1 Apr → | |
| inferno | 7–13 | 0.06 | 28% | 1 Apr → | |
| inferno | 13–9 | 0.07 | 25% | 26 Mar → | |
| vertigo | 6–13 | 0.06 | 28% | 26 Mar → | |
| nuke | 2–13 | -0.06 | 11% | 22 Mar → | |
| office | 7–13 | -0.03 | 37% | 22 Mar → | |
| vertigo | 13–10 | -0.01 | 37% | 22 Mar → | |
| inferno | 5–13 | 0.01 | 20% | 22 Mar → | |
| dust2 | 11–13 | 0.01 | 29% | 22 Mar → | |
| ancient | 13–4 | 0.06 | 43% | 21 Mar → | |
| ancient | 12–12 | 0.04 | 25% | 21 Mar → | |
| dust2 | 13–10 | 0.03 | 22% | 18 Mar → | |
| nuke | 6–13 | 0.00 | 30% | 18 Mar → | |
| mirage | 8–13 | -0.04 | 24% | 18 Mar → | |
| nuke | 12–12 | 0.03 | 24% | 14 Mar → | |
| train | 13–7 | 0.00 | 20% | 13 Mar → | |
| italy | 4–13 | 0.01 | 29% | 13 Mar → | |
| office | 10–13 | -0.03 | 40% | 13 Mar → | |
| inferno | 13–5 | 0.03 | 15% | 12 Mar → | |
| vertigo | 13–10 | -0.00 | 24% | 12 Mar → | |
| mirage | 10–13 | -0.06 | 11% | 12 Mar → | |
| office | 1–13 | -0.08 | 16% | 12 Mar → | |
| anubis | 13–6 | -0.06 | 24% | 12 Mar → | |
| office | 6–13 | 0.08 | 31% | 12 Mar → | |
| inferno | 12–12 | 0.02 | 19% | 12 Mar → | |
| inferno | 9–13 | -0.07 | 24% | 8 Mar → | |
| mirage | 6–13 | -0.05 | 23% | 8 Mar → | |
| office | 12–12 | 0.02 | 23% | 6 Mar → | |
| office | 13–9 | 0.02 | 29% | 6 Mar → | |
| overpass | 13–4 | 0.07 | 22% | 4 Mar → | |
| dust2 | 13–2 | 0.15 | 23% | 4 Mar → | |
| mirage | 9–13 | -0.05 | 16% | 4 Mar → | |
| vertigo | 13–5 | 0.01 | 27% | 26 Feb → | |
| inferno | 13–8 | -0.00 | 26% | 26 Feb → | |
| dust2 | 13–3 | 0.02 | 24% | 26 Feb → | |
| nuke | 13–9 | -0.04 | 16% | 24 Feb → | |
| dust2 | 13–10 | -0.08 | 10% | 24 Feb → | |
| train | 13–7 | 0.01 | 27% | 24 Feb → | |
| mirage | 13–10 | -0.05 | 18% | 24 Feb → | |
| dust2 | 4–13 | -0.11 | 11% | 23 Feb → | |
| train | 13–3 | 0.08 | 27% | 23 Feb → | |
| office | 13–11 | 0.04 | 24% | 22 Feb → | |
| inferno | 8–13 | -0.05 | 21% | 22 Feb → | |
| dust2 | 12–12 | -0.04 | 20% | 22 Feb → | |
| inferno | 5–13 | -0.05 | 13% | 20 Feb → | |
| overpass | 13–5 | 0.03 | 26% | 20 Feb → |
Match data via Leetify.
