RIKO我 — CS2 Stats
76561198345244091[U:1:384978363]✓ No bans
Rating over time
Faceit ELO
- At peak — 3,355
- Next: 3,500 ELO at 3,500 — 145 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-28
- 2,500 ELO first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerEffective flashes
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 95% playstyle similarity
Most alike: opening-duel success, positioning 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 87 — the mechanical foundation is a clear strength.
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
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 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| B | 36 | 19–17 | 53% | 0.01 | |
| A | 23 | 14–9 | 61% | 0.01 | |
| A | 13 | 8–5 | 62% | 0.04 | |
| D | 9 | 3–6 | 33% | -0.01 | |
| B | 8 | 4–4 | 50% | -0.00 | |
| D | 6 | 2–4 | 33% | 0.01 | |
| — | 4 | 2–2 | 50% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 601 | 51% | 1.16 | 17.2 |
| Ancient | 509 | 54% | 1.19 | 17.1 |
| Dust2 | 426 | 51% | 1.16 | 17.0 |
| Anubis | 373 | 50% | 1.17 | 16.9 |
| Nuke | 176 | 49% | 1.09 | 16.6 |
| Inferno | 151 | 49% | 1.17 | 17.3 |
| Overpass | 76 | 62% | 1.25 | 18.1 |
| Train | 61 | 57% | 1.05 | 16.2 |
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 36.9941% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.16 | 28% | 28 Aug → | ||
| 13–6 | 0.09 | 29% | 28 Aug → | ||
| 13–5 | 0.08 | 26% | 28 Aug → | ||
| 13–5 | 0.07 | 33% | 25 Aug → | ||
| 16–13 | 0.05 | 33% | 25 Aug → | ||
| 8–13 | -0.01 | 24% | 24 Aug → | ||
| 13–9 | -0.02 | 29% | 17 Aug → | ||
| 13–7 | -0.03 | 23% | 10 Aug → | ||
| 13–5 | -0.02 | 24% | 10 Aug → | ||
| 10–13 | 0.01 | 25% | 7 Jul → | ||
| 9–13 | -0.04 | 24% | 1 Jul → | ||
| 9–13 | -0.04 | 27% | 28 Jun → | ||
| 16–12 | 0.00 | 17% | 23 Jun → | ||
| 9–13 | -0.00 | 25% | 22 Jun → | ||
| 13–11 | 0.02 | 24% | 21 Jun → | ||
| 9–13 | 0.02 | 31% | 9 Jun → | ||
| 13–7 | 0.06 | 31% | 9 Jun → | ||
| 13–6 | -0.04 | 24% | 5 Jun → | ||
| 13–5 | 0.05 | 26% | 1 Jun → | ||
| 11–13 | -0.04 | 27% | 31 May → | ||
| 2–13 | 0.04 | 26% | 29 May → | ||
| 7–13 | -0.01 | 28% | 29 May → | ||
| 13–10 | 0.06 | 22% | 29 May → | ||
| 13–9 | 0.01 | 18% | 29 May → | ||
| 15–19 | 0.02 | 24% | 29 May → | ||
| 13–9 | 0.14 | 34% | 28 May → | ||
| 13–11 | -0.03 | 34% | 24 May → | ||
| 11–13 | -0.01 | 38% | 22 May → | ||
| 13–11 | 0.02 | 24% | 22 May → | ||
| 13–2 | 0.08 | 50% | 21 May → | ||
| 16–14 | 0.03 | 29% | 20 May → | ||
| 13–8 | 0.00 | 26% | 20 May → | ||
| 13–4 | 0.02 | 21% | 19 May → | ||
| 13–7 | 0.04 | 16% | 19 May → | ||
| 13–10 | 0.03 | 26% | 19 May → | ||
| 10–13 | -0.05 | 30% | 18 May → | ||
| 13–16 | -0.03 | 20% | 18 May → | ||
| 10–13 | -0.02 | 28% | 18 May → | ||
| 8–13 | 0.03 | 38% | 18 May → | ||
| 13–8 | 0.06 | 32% | 17 May → | ||
| 8–13 | -0.05 | 33% | 15 May → | ||
| 13–2 | 0.05 | 46% | 15 May → | ||
| 7–13 | -0.01 | 18% | 13 May → | ||
| 13–8 | 0.06 | 46% | 13 May → | ||
| 13–11 | -0.01 | 30% | 13 May → | ||
| 10–13 | -0.02 | 27% | 12 May → | ||
| 13–11 | 0.05 | 20% | 12 May → | ||
| 10–13 | 0.01 | 22% | 11 May → | ||
| 4–13 | -0.05 | 16% | 11 May → | ||
| 7–13 | -0.07 | 56% | 11 May → | ||
| 2–13 | -0.09 | 54% | 10 May → | ||
| 13–10 | 0.02 | 29% | 10 May → | ||
| 13–4 | 0.04 | 29% | 10 May → | ||
| 2–13 | -0.08 | 6% | 10 May → | ||
| 13–11 | 0.04 | 30% | 10 May → | ||
| 10–13 | -0.03 | 15% | 9 May → | ||
| 13–11 | 0.02 | 30% | 9 May → | ||
| 13–7 | -0.01 | 21% | 9 May → | ||
| 2–13 | -0.03 | 10% | 9 May → | ||
| 6–13 | 0.01 | 41% | 9 May → | ||
| 13–3 | 0.05 | 29% | 9 May → | ||
| 1–11 | -0.04 | 15% | 8 May → | ||
| 5–13 | 0.01 | 25% | 8 May → | ||
| 4–13 | -0.04 | 32% | 8 May → | ||
| 13–10 | -0.03 | 32% | 8 May → | ||
| 3–13 | -0.02 | 35% | 8 May → | ||
| 13–7 | -0.02 | 30% | 8 May → | ||
| 4–13 | -0.01 | 38% | 7 May → | ||
| 13–8 | 0.08 | 26% | 7 May → | ||
| 11–13 | -0.02 | 34% | 7 May → | ||
| 11–13 | -0.05 | 26% | 7 May → | ||
| 13–10 | -0.04 | 31% | 7 May → | ||
| 11–13 | 0.04 | 28% | 6 May → | ||
| 13–11 | 0.02 | 22% | 6 May → | ||
| 13–9 | -0.02 | 23% | 6 May → | ||
| 13–6 | 0.02 | 42% | 5 May → | ||
| 6–13 | 0.03 | 25% | 5 May → | ||
| 10–13 | 0.00 | 44% | 5 May → | ||
| 8–13 | 0.05 | 36% | 5 May → | ||
| 13–11 | 0.04 | 26% | 4 May → | ||
| 2–13 | -0.01 | 67% | 4 May → | ||
| 7–13 | -0.00 | 24% | 1 May → | ||
| 13–11 | 0.03 | 16% | 1 May → | ||
| 13–4 | 0.18 | 32% | 30 Apr → | ||
| 13–11 | -0.02 | 13% | 30 Apr → | ||
| 13–4 | -0.00 | 24% | 30 Apr → | ||
| 13–5 | 0.06 | 34% | 30 Apr → | ||
| 8–13 | -0.01 | 21% | 30 Apr → | ||
| 13–8 | 0.05 | 20% | 30 Apr → | ||
| 6–13 | 0.07 | 29% | 30 Apr → | ||
| 11–13 | -0.02 | 16% | 30 Apr → | ||
| 13–5 | 0.02 | 30% | 30 Apr → | ||
| 11–13 | 0.02 | 26% | 29 Apr → | ||
| 7–13 | 0.00 | 15% | 29 Apr → | ||
| 13–6 | 0.02 | 38% | 26 Apr → | ||
| 13–8 | 0.07 | 33% | 26 Apr → | ||
| 4–13 | -0.05 | 29% | 26 Apr → | ||
| 7–13 | -0.04 | 29% | 26 Apr → | ||
| 8–13 | -0.04 | 17% | 26 Apr → | ||
| 20–22 | 0.04 | 33% | 24 Apr → |
Match data via Leetify.