nomore — CS2 Stats
76561198239678168[U:1:279412440]✓ No bans
Rating over time
Faceit ELO
- At peak — 2,788
- Next: 3,000 ELO at 3,000 — 212 to go
- Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
- 2,500 ELO first seen 2026-08-30
- Level 10 first seen 2026-08-30
Premier CS Rating
- At peak — 22,636
- Next: Red band at 25,000 — 2,364 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-08-30
- Purple band first seen 2026-08-30
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: -10pp win rate · +0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimer
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 s1mple 94% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
Strengths
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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. 583ms 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 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| A | 29 | 18–11 | 62% | 0.03 | |
| B | 24 | 11–13 | 46% | 0.03 | |
| S | 10 | 7–3 | 70% | 0.07 | |
| A | 9 | 5–4 | 56% | -0.00 | |
| A | 8 | 5–3 | 63% | 0.02 | |
| D | 6 | 2–4 | 33% | -0.01 | |
| C | 5 | 2–3 | 40% | 0.07 | |
| A | 5 | 3–2 | 60% | 0.06 | |
| — | 3 | 1–2 | 33% | 0.10 | |
| poseidon | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 918 | 52% | 1.10 | 17.0 |
| Dust2 | 403 | 45% | 1.03 | 16.1 |
| Ancient | 342 | 48% | 0.96 | 15.3 |
| Vertigo | 251 | 64% | 1.14 | 16.8 |
| Nuke | 198 | 49% | 1.06 | 16.3 |
| Anubis | 194 | 44% | 1.00 | 15.7 |
| Inferno | 85 | 44% | 0.90 | 15.2 |
| Overpass | 51 | 45% | 1.11 | 17.0 |
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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.01 | 32% | 23 Aug → | ||
| 13–3 | 0.01 | 43% | 23 Aug → | ||
| 12–9 | 0.02 | 22% | 15 Aug → | ||
| 10–13 | 0.06 | 15% | 15 Aug → | ||
| 11–13 | 0.08 | 29% | 15 Aug → | ||
| 3–13 | -0.04 | 25% | 11 Aug → | ||
| 13–10 | 0.05 | 32% | 9 Aug → | ||
| 13–10 | 0.08 | 26% | 31 Jul → | ||
| 16–13 | 0.04 | 20% | 30 Jul → | ||
| 14–16 | 0.01 | 23% | 18 Jul → | ||
| 13–3 | 0.11 | 24% | 16 Jul → | ||
| 14–16 | -0.02 | 22% | 13 Jul → | ||
| 6–13 | -0.03 | 37% | 13 Jul → | ||
| 13–9 | 0.05 | 18% | 10 Jul → | ||
| 10–13 | 0.00 | 21% | 9 Jul → | ||
| 13–6 | 0.03 | 33% | 9 Jul → | ||
| 13–11 | 0.07 | 34% | 9 Jul → | ||
| 11–13 | -0.03 | 29% | 5 Jul → | ||
| 13–11 | 0.06 | 24% | 25 Jun → | ||
| 13–9 | 0.04 | 33% | 25 Jun → | ||
| 16–13 | 0.04 | 28% | 25 Jun → | ||
| 16–12 | 0.08 | 31% | 25 Jun → | ||
| 13–8 | -0.04 | 23% | 25 Jun → | ||
| 9–13 | 0.04 | 24% | 24 Jun → | ||
| 13–11 | 0.06 | 26% | 24 Jun → | ||
| 13–8 | 0.05 | 31% | 23 Jun → | ||
| 4–13 | 0.05 | 31% | 23 Jun → | ||
| 11–13 | 0.05 | 17% | 23 Jun → | ||
| 3–13 | -0.02 | 22% | 16 Jun → | ||
| 9–6 | 0.17 | 23% | 11 Jun → | ||
| 7–9 | 0.03 | 19% | 10 Jun → | ||
| 9–3 | 0.21 | 37% | 10 Jun → | ||
| 10–2 | 0.13 | 40% | 9 Jun → | ||
| 13–1 | 0.22 | 42% | 9 Jun → | ||
| 12–16 | -0.02 | 17% | 17 May → | ||
| 7–13 | -0.03 | 23% | 17 May → | ||
| 4–13 | 0.00 | 41% | 15 May → | ||
| 11–13 | 0.01 | 27% | 14 May → | ||
| 13–2 | 0.00 | 33% | 13 May → | ||
| 10–13 | 0.02 | 22% | 13 May → | ||
| poseidon | 8–8 | -0.04 | 24% | 9 May → | |
| 5–9 | -0.00 | 29% | 9 May → | ||
| 9–3 | 0.03 | 29% | 9 May → | ||
| 1–13 | -0.11 | 13% | 9 May → | ||
| 13–16 | 0.04 | 30% | 7 May → | ||
| 5–13 | 0.02 | 15% | 7 May → | ||
| 4–13 | -0.04 | 6% | 5 May → | ||
| 9–6 | 0.07 | 17% | 1 May → | ||
| 13–11 | 0.06 | 44% | 26 Apr → | ||
| 9–2 | 0.16 | 23% | 25 Apr → | ||
| 9–3 | 0.05 | 28% | 23 Apr → | ||
| 13–16 | 0.05 | 35% | 23 Apr → | ||
| 13–5 | 0.06 | 27% | 13 Apr → | ||
| 13–11 | -0.05 | 22% | 5 Apr → | ||
| 15–15 | -0.01 | 16% | 1 Apr → | ||
| 7–13 | 0.06 | 22% | 1 Apr → | ||
| 13–4 | 0.03 | 12% | 1 Apr → | ||
| 11–13 | 0.00 | 11% | 1 Apr → | ||
| 9–7 | 0.01 | 29% | 1 Apr → | ||
| 9–6 | -0.07 | 14% | 31 Mar → | ||
| 13–9 | -0.08 | 11% | 31 Mar → | ||
| 13–7 | -0.00 | 33% | 31 Mar → | ||
| 13–9 | 0.04 | 27% | 31 Mar → | ||
| 8–13 | 0.00 | 21% | 19 Mar → | ||
| 9–7 | 0.17 | 19% | 19 Mar → | ||
| 8–13 | -0.02 | 19% | 19 Mar → | ||
| 13–11 | 0.06 | 21% | 19 Mar → | ||
| 13–11 | 0.01 | 26% | 19 Mar → | ||
| 7–13 | 0.02 | 28% | 19 Mar → | ||
| 6–13 | -0.04 | 19% | 18 Mar → | ||
| 13–16 | 0.01 | 23% | 16 Mar → | ||
| 13–2 | 0.03 | 36% | 15 Mar → | ||
| 13–16 | 0.00 | 23% | 12 Mar → | ||
| 9–2 | 0.24 | 25% | 11 Mar → | ||
| 9–3 | 0.24 | 10% | 11 Mar → | ||
| 13–11 | 0.10 | 18% | 11 Mar → | ||
| 11–13 | 0.05 | 20% | 6 Mar → | ||
| 9–5 | -0.04 | 18% | 6 Mar → | ||
| 13–4 | 0.01 | 20% | 6 Mar → | ||
| 13–8 | 0.07 | 24% | 6 Mar → | ||
| 13–6 | -0.00 | 22% | 5 Mar → | ||
| 9–13 | 0.10 | 28% | 5 Mar → | ||
| 13–9 | 0.08 | 28% | 5 Mar → | ||
| 13–11 | 0.04 | 21% | 5 Mar → | ||
| 9–13 | -0.02 | 11% | 5 Mar → | ||
| 9–13 | -0.08 | 17% | 5 Mar → | ||
| 13–8 | 0.01 | 15% | 5 Mar → | ||
| 13–10 | 0.08 | 26% | 5 Mar → | ||
| 13–16 | 0.02 | 35% | 4 Mar → | ||
| 13–16 | 0.04 | 16% | 4 Mar → | ||
| 10–13 | 0.01 | 19% | 4 Mar → | ||
| 13–16 | 0.05 | 29% | 4 Mar → | ||
| 7–13 | 0.04 | 33% | 2 Mar → | ||
| 13–5 | 0.05 | 21% | 2 Mar → | ||
| 13–8 | 0.04 | 20% | 2 Mar → | ||
| 13–6 | 0.04 | 15% | 2 Mar → | ||
| 13–11 | -0.03 | 19% | 2 Mar → | ||
| 4–13 | 0.01 | 18% | 2 Mar → | ||
| 2–13 | -0.02 | 25% | 2 Mar → | ||
| 13–4 | 0.07 | 18% | 2 Mar → |
Match data via Leetify.