BELCHONOKK — CS2 Stats
PRO1WINRussiaRiflerSettings & gear profile →
CA76561198253670517[U:1:293404789]Steam profile ↗
Rating over time
Faceit ELO
- At peak — 4,021
- 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
Premier CS Rating
- At peak — 16,585
- Next: Pink band at 20,000 — 3,415 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- Blue band 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 · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 donk 95% playstyle similarity
Most alike: aim profile, opening-duel success.
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 96 — the mechanical foundation is a clear strength.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 62% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
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 (×1.00 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 |
|---|---|---|---|---|---|
| S | 32 | 21–11 | 66% | -0.01 | |
| B | 22 | 11–11 | 50% | 0.01 | |
| D | 18 | 6–12 | 33% | -0.00 | |
| D | 14 | 4–10 | 29% | -0.03 | |
| B | 8 | 4–4 | 50% | 0.03 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 423 | 69% | 1.60 | 21.9 |
| Ancient | 209 | 58% | 1.36 | 18.5 |
| Anubis | 175 | 63% | 1.53 | 20.3 |
| Dust2 | 157 | 70% | 1.44 | 19.4 |
| Overpass | 49 | 55% | 1.40 | 19.0 |
| Nuke | 47 | 57% | 1.34 | 19.2 |
| Vertigo | 38 | 55% | 1.42 | 21.6 |
| Inferno | 24 | 62% | 1.35 | 15.1 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4925 — below the 0.5 mark we flag
- 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 39.433% — 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.
29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.02 | 20% | 26 Aug → | ||
| 12–7 | 0.00 | 24% | 26 Aug → | ||
| 11–13 | -0.03 | 25% | 26 Aug → | ||
| 13–6 | -0.02 | 22% | 25 Aug → | ||
| 16–14 | -0.01 | 23% | 25 Aug → | ||
| 1–13 | -0.03 | 22% | 23 Aug → | ||
| 4–8 | -0.08 | 14% | 22 Aug → | ||
| 13–3 | -0.01 | 36% | 22 Aug → | ||
| 4–5 | -0.09 | 9% | 22 Aug → | ||
| 16–14 | 0.00 | 25% | 22 Aug → | ||
| 6–13 | -0.02 | 27% | 9 Aug → | ||
| 14–16 | -0.01 | 24% | 9 Aug → | ||
| 3–13 | -0.11 | 13% | 9 Aug → | ||
| 13–10 | 0.00 | 32% | 9 Aug → | ||
| 13–6 | 0.06 | 18% | 9 Aug → | ||
| 6–13 | -0.02 | 15% | 9 Aug → | ||
| 13–5 | 0.06 | 34% | 9 Aug → | ||
| 13–7 | 0.09 | 25% | 9 Aug → | ||
| 16–12 | -0.07 | 20% | 8 Aug → | ||
| 13–10 | -0.00 | 17% | 8 Aug → | ||
| 5–13 | -0.05 | 17% | 7 Aug → | ||
| 6–13 | -0.03 | 27% | 7 Aug → | ||
| 13–4 | 0.02 | 16% | 7 Aug → | ||
| 13–2 | 0.12 | 18% | 7 Aug → | ||
| 13–16 | 0.02 | 13% | 30 Jul → | ||
| 10–13 | -0.01 | 19% | 30 Jul → | ||
| 13–6 | 0.01 | 16% | 29 Jul → | ||
| 13–9 | -0.02 | 25% | 29 Jul → | ||
| 13–10 | 0.06 | 29% | 28 Jul → | ||
| 16–13 | 0.01 | 21% | 28 Jul → | ||
| 13–2 | 0.09 | 30% | 28 Jul → | ||
| 13–3 | 0.08 | 24% | 28 Jul → | ||
| 7–13 | -0.03 | 22% | 28 Jul → | ||
| 13–8 | -0.02 | 22% | 28 Jul → | ||
| 8–13 | -0.02 | 21% | 28 Jul → | ||
| 12–14 | -0.00 | 31% | 13 Jun → | ||
| 0–2 | -0.11 | 0% | 13 Jun → | ||
| 0–2 | -0.05 | 0% | 13 Jun → | ||
| 13–14 | -0.03 | 10% | 13 Jun → | ||
| 9–13 | 0.01 | 28% | 12 Jun → | ||
| 13–7 | -0.02 | 22% | 12 Jun → | ||
| 5–13 | -0.08 | 40% | 12 Jun → | ||
| 1–13 | -0.12 | 25% | 11 Jun → | ||
| 13–8 | 0.02 | 21% | 11 Jun → | ||
| 9–13 | -0.03 | 29% | 11 Jun → | ||
| 11–13 | 0.00 | 31% | 22 May → | ||
| 4–13 | -0.06 | 31% | 22 May → | ||
| 13–9 | 0.02 | 16% | 21 May → | ||
| 13–10 | -0.07 | 17% | 21 May → | ||
| 4–13 | -0.00 | 30% | 20 May → | ||
| 6–13 | 0.00 | 33% | 20 May → | ||
| 13–9 | -0.12 | 36% | 20 May → | ||
| 12–16 | -0.05 | 18% | 12 May → | ||
| 13–11 | -0.01 | 15% | 12 May → | ||
| 5–13 | -0.06 | 10% | 12 May → | ||
| 14–16 | -0.01 | 28% | 11 May → | ||
| 7–13 | -0.03 | 27% | 11 May → | ||
| 13–2 | 0.04 | 19% | 10 May → | ||
| 13–5 | 0.03 | 15% | 10 May → | ||
| 8–13 | 0.01 | 16% | 9 May → | ||
| 6–13 | -0.03 | 45% | 9 May → | ||
| 8–13 | 0.00 | 32% | 9 Apr → | ||
| 13–6 | 0.01 | 21% | 9 Apr → | ||
| 9–13 | -0.02 | 19% | 9 Apr → | ||
| 28–26 | -0.03 | 20% | 8 Apr → | ||
| 13–11 | -0.06 | 15% | 8 Apr → | ||
| 9–13 | -0.01 | 26% | 7 Apr → | ||
| 9–13 | 0.05 | 17% | 7 Apr → | ||
| 11–13 | -0.02 | 27% | 6 Apr → | ||
| 6–13 | -0.05 | 18% | 6 Apr → | ||
| 16–14 | 0.02 | 29% | 5 Apr → | ||
| 13–9 | -0.01 | 26% | 5 Apr → | ||
| 10–13 | -0.02 | 18% | 4 Apr → | ||
| 13–4 | -0.05 | 36% | 4 Apr → | ||
| 13–10 | -0.04 | 33% | 4 Apr → | ||
| 7–13 | -0.09 | 14% | 28 Mar → | ||
| 13–8 | 0.04 | 18% | 28 Mar → | ||
| 11–13 | 0.03 | 28% | 28 Mar → | ||
| 13–11 | 0.05 | 21% | 27 Mar → | ||
| 13–10 | 0.03 | 21% | 27 Mar → | ||
| 13–7 | 0.02 | 25% | 25 Mar → | ||
| 13–5 | 0.22 | 27% | 25 Mar → | ||
| 12–16 | -0.05 | 20% | 23 Mar → | ||
| 9–13 | 0.07 | 33% | 23 Mar → | ||
| 13–8 | 0.05 | 16% | 21 Mar → | ||
| 13–3 | 0.01 | 32% | 21 Mar → | ||
| 6–13 | -0.01 | 43% | 19 Mar → | ||
| 13–11 | 0.06 | 24% | 19 Mar → | ||
| 13–8 | -0.00 | 20% | 19 Mar → | ||
| 10–13 | -0.00 | 19% | 16 Mar → | ||
| 13–9 | -0.04 | 22% | 16 Mar → | ||
| 10–13 | -0.01 | 30% | 7 Mar → | ||
| 10–13 | 0.10 | 19% | 7 Mar → | ||
| 6–13 | -0.01 | 14% | 5 Mar → | ||
| 5–13 | -0.01 | 18% | 5 Mar → | ||
| 13–10 | 0.03 | 25% | 4 Mar → | ||
| 13–3 | 0.12 | 28% | 4 Mar → | ||
| 13–10 | 0.10 | 31% | 4 Mar → | ||
| 10–13 | -0.02 | 18% | 4 Mar → | ||
| 19–15 | -0.03 | 12% | 4 Mar → |
Match data via Leetify.