Yope — CS2 Stats
76561198110629209[U:1:150363481]
Rating over time
Faceit ELO
- At peak — 2,407
- Next: 2,500 ELO at 2,500 — 93 to go
- Reached: Level 10 · Level 9 · Level 8 · Level 7
- Level 10 first seen 2026-08-28
- Level 9 first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 49.8% | 52.8% |
| Shot accuracy | 7.6% | 13.7% |
| Kill/death ratio | 1.11 | 1.08 |
| Match win rate | 47.2% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.01 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 b1t 92% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 5.5/10 (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 |
|---|---|---|---|---|---|
| B | 24 | 11–13 | 46% | -0.01 | |
| C | 21 | 8–13 | 38% | -0.00 | |
| S | 20 | 13–7 | 65% | 0.00 | |
| B | 13 | 7–6 | 54% | 0.02 | |
| D | 9 | 3–6 | 33% | -0.00 | |
| B | 6 | 3–3 | 50% | 0.00 | |
| — | 4 | 1–3 | 25% | -0.03 | |
| — | 3 | 2–1 | 67% | -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.
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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 652 | 50% | 1.05 | 15.5 |
| Ancient | 404 | 52% | 1.09 | 16.8 |
| Anubis | 376 | 52% | 1.09 | 16.5 |
| Dust2 | 344 | 49% | 1.07 | 16.1 |
| Inferno | 303 | 49% | 1.07 | 16.1 |
| Nuke | 228 | 50% | 1.08 | 16.2 |
| Overpass | 115 | 57% | 1.17 | 16.4 |
| Train | 94 | 62% | 1.18 | 17.1 |
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.
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 | |
|---|---|---|---|---|---|
| 11–13 | -0.05 | 28% | 27 Aug → | ||
| 13–9 | -0.03 | 14% | 26 Aug → | ||
| 13–4 | -0.02 | 12% | 25 Aug → | ||
| 13–7 | 0.01 | 20% | 25 Aug → | ||
| 9–13 | -0.02 | 9% | 25 Aug → | ||
| 13–6 | 0.01 | 13% | 25 Aug → | ||
| 4–13 | -0.01 | 14% | 25 Aug → | ||
| 13–7 | 0.10 | 15% | 24 Aug → | ||
| 13–16 | -0.06 | 18% | 24 Aug → | ||
| 13–9 | 0.03 | 20% | 21 Aug → | ||
| 11–13 | 0.04 | 14% | 20 Aug → | ||
| 10–13 | -0.01 | 15% | 19 Aug → | ||
| 13–10 | 0.01 | 10% | 19 Aug → | ||
| 10–13 | -0.03 | 19% | 18 Aug → | ||
| 11–13 | 0.01 | 11% | 14 Aug → | ||
| 7–13 | -0.06 | 20% | 13 Aug → | ||
| 13–6 | 0.04 | 9% | 12 Aug → | ||
| 11–13 | 0.00 | 17% | 11 Aug → | ||
| 13–9 | 0.04 | 14% | 11 Aug → | ||
| 13–6 | 0.02 | 11% | 10 Aug → | ||
| 4–13 | -0.02 | 6% | 10 Aug → | ||
| 8–13 | 0.02 | 17% | 8 Aug → | ||
| 0–4 | -0.14 | 25% | 5 Aug → | ||
| 7–13 | 0.02 | 19% | 4 Aug → | ||
| 2–13 | -0.07 | 19% | 3 Aug → | ||
| 13–11 | 0.01 | 15% | 3 Aug → | ||
| 8–13 | -0.02 | 19% | 26 Jul → | ||
| 12–16 | -0.07 | 21% | 26 Jul → | ||
| 13–7 | 0.09 | 13% | 25 Jul → | ||
| 7–13 | -0.03 | 21% | 23 Jul → | ||
| 8–13 | -0.06 | 9% | 21 Jul → | ||
| 13–4 | 0.00 | 21% | 25 Jun → | ||
| 8–13 | 0.05 | 21% | 26 May → | ||
| 13–8 | -0.01 | 30% | 22 May → | ||
| 11–13 | 0.04 | 18% | 19 May → | ||
| 2–13 | -0.06 | 21% | 12 May → | ||
| 13–3 | 0.02 | 7% | 12 May → | ||
| 13–3 | 0.07 | 11% | 12 May → | ||
| 13–10 | -0.04 | 8% | 12 May → | ||
| 13–8 | -0.00 | 18% | 6 May → | ||
| 8–13 | -0.06 | 23% | 1 May → | ||
| 16–13 | -0.01 | 26% | 30 Apr → | ||
| 4–13 | 0.03 | 27% | 29 Apr → | ||
| 13–10 | -0.03 | 17% | 28 Apr → | ||
| 13–10 | 0.04 | 23% | 27 Apr → | ||
| 7–13 | -0.03 | 12% | 27 Apr → | ||
| 13–7 | -0.05 | 29% | 24 Apr → | ||
| 10–13 | -0.02 | 14% | 24 Apr → | ||
| 13–8 | 0.01 | 19% | 8 Apr → | ||
| 9–13 | 0.10 | 27% | 1 Apr → | ||
| 13–11 | -0.03 | 19% | 31 Mar → | ||
| 13–7 | -0.01 | 13% | 31 Mar → | ||
| 9–13 | -0.03 | 13% | 30 Mar → | ||
| 11–13 | 0.06 | 26% | 30 Mar → | ||
| 13–7 | 0.08 | 23% | 27 Mar → | ||
| 13–11 | 0.06 | 21% | 24 Mar → | ||
| 1–13 | -0.10 | 4% | 23 Mar → | ||
| 5–13 | -0.04 | 19% | 22 Mar → | ||
| 13–7 | 0.07 | 23% | 22 Mar → | ||
| 13–5 | 0.07 | 18% | 17 Mar → | ||
| 10–13 | 0.07 | 17% | 17 Mar → | ||
| 6–13 | -0.01 | 12% | 15 Mar → | ||
| 5–0 | -0.06 | 30% | 11 Mar → | ||
| 13–11 | -0.04 | 21% | 10 Mar → | ||
| 16–14 | -0.00 | 11% | 10 Mar → | ||
| 10–13 | 0.04 | 24% | 9 Mar → | ||
| 8–13 | 0.05 | 22% | 9 Mar → | ||
| 16–12 | -0.04 | 6% | 8 Mar → | ||
| 13–16 | -0.06 | 28% | 5 Mar → | ||
| 14–16 | -0.02 | 17% | 2 Mar → | ||
| 9–13 | -0.01 | 19% | 28 Feb → | ||
| 12–12 | 0.02 | 20% | 26 Feb → | ||
| 13–2 | 0.13 | 23% | 25 Feb → | ||
| 13–5 | 0.03 | 15% | 24 Feb → | ||
| 11–13 | 0.01 | 24% | 24 Feb → | ||
| 13–8 | 0.00 | 18% | 23 Feb → | ||
| 16–19 | -0.03 | 18% | 21 Feb → | ||
| 11–13 | -0.05 | 11% | 21 Feb → | ||
| 13–4 | 0.09 | 11% | 18 Feb → | ||
| 13–10 | 0.00 | 11% | 18 Feb → | ||
| 10–13 | 0.04 | 18% | 17 Feb → | ||
| 11–13 | -0.01 | 9% | 17 Feb → | ||
| 5–13 | -0.02 | 22% | 10 Feb → | ||
| 8–13 | -0.05 | 16% | 9 Feb → | ||
| 13–6 | 0.01 | 13% | 3 Feb → | ||
| 10–13 | -0.04 | 13% | 3 Feb → | ||
| 13–6 | 0.02 | 12% | 29 Jan → | ||
| 13–2 | -0.01 | 7% | 27 Jan → | ||
| 9–13 | 0.07 | 15% | 26 Jan → | ||
| 13–9 | 0.00 | 15% | 26 Jan → | ||
| 13–7 | -0.04 | 30% | 24 Jan → | ||
| 16–13 | -0.02 | 21% | 21 Jan → | ||
| 13–9 | -0.04 | 16% | 20 Jan → | ||
| 13–10 | -0.01 | 28% | 20 Jan → | ||
| 10–13 | -0.04 | 32% | 18 Jan → | ||
| 8–13 | -0.05 | 24% | 14 Jan → | ||
| 13–6 | 0.03 | 28% | 12 Jan → | ||
| 11–13 | -0.01 | 28% | 11 Jan → | ||
| 6–13 | -0.01 | 15% | 3 Jan → | ||
| 13–7 | -0.01 | 17% | 21 Dec → |
Match data via Leetify.