RicoB — CS2 Stats
FI76561198394371146[U:1:434105418]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=21,222), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 43.5% | 42.0% | 44.4% | meets |
| Shot accuracy | 10.0% | 9.6% | 11.9% | 1.9% short |
| Kill/death ratio | 0.71 | 0.98 | 1.03 | 0.32 short |
| Match win rate | 41.8% | 43.8% | 45.2% | 3.4% short |
This profile matches the typical Purple band player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Purple 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.
Player DNA
Primary style: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like iM 77% playstyle similarity
Most alike: utility contribution, positioning profile.
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
CT openings. Opening success drops from 58% on T to 37% on CT — first contacts on the defending side are being lost.
Reaction time. 612ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 70% 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 4.5/10 (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.
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 |
|---|---|---|---|---|
| Mirage | 141 | 45% | 0.84 | 13.6 |
| Nuke | 74 | 59% | 0.88 | 13.4 |
| Inferno | 58 | 71% | 0.80 | 13.1 |
| Ancient | 32 | 47% | 0.68 | 10.7 |
| Anubis | 14 | 21% | 0.77 | 14.4 |
| Dust2 | 12 | 42% | 1.04 | 15.7 |
| Vertigo | 8 | 25% | 1.00 | 14.4 |
| Train | 7 | 71% | 0.73 | 12.3 |
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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 36.6805% — below the 40% mark we flag
Milestones
This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.