Mokuj1n — CS2 Stats
PROCYBERSHOKERussiaRiflerSettings & gear profile →
76561199038958787[U:1:1078693059]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 4,153
- Reached: 4,000 ELO · 3,500 ELO · 3,000 ELO · 2,500 ELO
- 4,000 ELO first seen 2026-08-28
- 3,500 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: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 96% playstyle similarity
Most alike: positioning profile, 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 86 — the mechanical foundation is a clear strength.
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 6.9/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 27 | 15–12 | 56% | 0.01 | |
| S | 23 | 15–8 | 65% | 0.02 | |
| A | 22 | 13–9 | 59% | 0.01 | |
| A | 12 | 7–5 | 58% | 0.01 | |
| C | 9 | 4–5 | 44% | 0.01 | |
| C | 5 | 2–3 | 40% | -0.02 | |
| — | 2 | 1–1 | 50% | 0.08 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1188 | 57% | 1.31 | 19.0 |
| Anubis | 524 | 61% | 1.32 | 18.6 |
| Ancient | 467 | 58% | 1.32 | 18.1 |
| Dust2 | 229 | 60% | 1.26 | 17.9 |
| Nuke | 182 | 63% | 1.28 | 18.0 |
| Vertigo | 169 | 58% | 1.25 | 18.4 |
| Overpass | 81 | 60% | 1.42 | 19.2 |
| Train | 49 | 43% | 1.39 | 19.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 29.8175% — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.05 | 18% | 24 Aug → | ||
| 8–13 | 0.00 | 24% | 24 Aug → | ||
| 13–9 | 0.06 | 21% | 24 Aug → | ||
| 13–4 | 0.11 | 23% | 24 Aug → | ||
| 3–13 | -0.10 | 26% | 8 Aug → | ||
| 13–10 | 0.02 | 43% | 8 Aug → | ||
| 13–8 | -0.07 | 22% | 8 Aug → | ||
| 13–11 | 0.06 | 25% | 8 Aug → | ||
| 10–13 | 0.09 | 30% | 8 Aug → | ||
| 13–8 | 0.02 | 21% | 8 Aug → | ||
| 13–10 | 0.00 | 17% | 7 Aug → | ||
| 13–3 | 0.05 | 22% | 7 Aug → | ||
| 13–10 | 0.04 | 19% | 6 Aug → | ||
| 7–13 | 0.01 | 22% | 5 Aug → | ||
| 13–4 | 0.01 | 26% | 5 Aug → | ||
| 13–10 | 0.03 | 27% | 5 Aug → | ||
| 0–13 | -0.05 | 36% | 2 Aug → | ||
| 11–13 | 0.03 | 32% | 2 Aug → | ||
| 13–10 | 0.02 | 30% | 1 Aug → | ||
| 13–1 | 0.05 | 35% | 1 Aug → | ||
| 11–13 | 0.03 | 29% | 1 Aug → | ||
| 13–8 | 0.02 | 17% | 31 Jul → | ||
| 13–8 | 0.01 | 23% | 31 Jul → | ||
| 4–13 | -0.02 | 21% | 29 Jul → | ||
| 7–13 | -0.00 | 27% | 29 Jul → | ||
| 13–7 | 0.08 | 17% | 27 Jul → | ||
| 13–2 | 0.07 | 17% | 27 Jul → | ||
| 13–6 | 0.03 | 31% | 27 Jul → | ||
| 3–13 | -0.06 | 19% | 27 Jul → | ||
| 9–13 | -0.01 | 19% | 27 Jul → | ||
| 11–13 | 0.08 | 28% | 22 Jul → | ||
| 11–13 | 0.02 | 27% | 19 Jul → | ||
| 5–13 | -0.06 | 23% | 20 Jun → | ||
| 13–7 | 0.08 | 23% | 20 Jun → | ||
| 8–13 | -0.01 | 35% | 20 Jun → | ||
| 13–7 | -0.00 | 36% | 19 Jun → | ||
| 13–3 | 0.14 | 26% | 19 Jun → | ||
| 8–13 | 0.02 | 22% | 15 Jun → | ||
| 5–13 | -0.07 | 30% | 15 Jun → | ||
| 9–13 | -0.03 | 21% | 11 Jun → | ||
| 13–5 | 0.07 | 30% | 11 Jun → | ||
| 11–13 | -0.01 | 31% | 11 Jun → | ||
| 13–3 | -0.01 | 17% | 11 Jun → | ||
| 11–13 | -0.06 | 16% | 9 Jun → | ||
| 11–13 | -0.05 | 17% | 9 Jun → | ||
| 4–13 | -0.08 | 8% | 8 Jun → | ||
| 8–13 | -0.02 | 22% | 8 Jun → | ||
| 10–13 | 0.02 | 31% | 7 Jun → | ||
| 13–6 | 0.02 | 23% | 7 Jun → | ||
| 9–13 | -0.02 | 35% | 7 Jun → | ||
| 13–10 | 0.00 | 25% | 5 Jun → | ||
| 13–4 | 0.04 | 14% | 4 Jun → | ||
| 13–10 | -0.02 | 6% | 4 Jun → | ||
| 13–16 | 0.01 | 23% | 4 Jun → | ||
| 13–8 | -0.03 | 25% | 2 Jun → | ||
| 13–11 | -0.02 | 22% | 1 Jun → | ||
| 13–6 | -0.01 | 29% | 31 May → | ||
| 10–13 | 0.02 | 27% | 30 May → | ||
| 13–10 | 0.08 | 23% | 30 May → | ||
| 13–16 | 0.01 | 21% | 30 May → | ||
| 13–8 | -0.01 | 19% | 29 May → | ||
| 13–5 | 0.01 | 19% | 29 May → | ||
| 13–9 | 0.05 | 25% | 27 May → | ||
| 13–4 | 0.05 | 13% | 26 May → | ||
| 5–13 | 0.00 | 25% | 26 May → | ||
| 9–13 | -0.02 | 48% | 26 May → | ||
| 13–11 | 0.01 | 17% | 26 May → | ||
| 13–3 | 0.06 | 25% | 26 May → | ||
| 7–13 | -0.01 | 31% | 12 May → | ||
| 5–13 | -0.03 | 36% | 10 May → | ||
| 6–13 | -0.03 | 31% | 10 May → | ||
| 13–9 | 0.03 | 31% | 9 May → | ||
| 11–13 | 0.01 | 33% | 9 May → | ||
| 13–6 | 0.03 | 24% | 9 May → | ||
| 16–12 | -0.02 | 18% | 9 May → | ||
| 16–13 | 0.01 | 30% | 9 May → | ||
| 12–16 | 0.01 | 30% | 9 May → | ||
| 13–10 | 0.01 | 35% | 9 May → | ||
| 22–20 | 0.03 | 24% | 8 May → | ||
| 13–5 | -0.01 | 29% | 8 May → | ||
| 13–8 | -0.01 | 19% | 8 May → | ||
| 13–2 | 0.08 | 34% | 8 May → | ||
| 13–5 | 0.03 | 22% | 7 May → | ||
| 13–8 | 0.02 | 28% | 7 May → | ||
| 13–7 | -0.01 | 25% | 4 May → | ||
| 13–9 | 0.00 | 28% | 4 May → | ||
| 13–8 | 0.09 | 27% | 3 May → | ||
| 4–13 | -0.03 | 10% | 2 May → | ||
| 10–13 | 0.01 | 18% | 2 May → | ||
| 13–3 | 0.01 | 15% | 30 Apr → | ||
| 13–1 | -0.02 | 15% | 30 Apr → | ||
| 3–13 | 0.01 | 42% | 28 Apr → | ||
| 4–13 | -0.08 | 36% | 28 Apr → | ||
| 10–13 | -0.04 | 29% | 28 Apr → | ||
| 13–2 | 0.04 | 16% | 27 Apr → | ||
| 11–13 | -0.04 | 15% | 26 Apr → | ||
| 13–7 | 0.01 | 27% | 26 Apr → | ||
| 11–13 | 0.03 | 16% | 26 Apr → | ||
| 13–11 | -0.00 | 20% | 25 Apr → | ||
| 13–6 | -0.02 | 21% | 25 Apr → |
Match data via Leetify.