Čubajs.oRR™ — CS2 Stats
76561198001615930[U:1:41350202]
Rating over time
Faceit ELO
- At peak — 1,301
- Next: Level 7 at 1,351 — 50 to go
- Reached: Level 6 · Level 5 · Level 4 · Level 3
- Level 6 first seen 2026-08-28
- Level 5 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: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Passive 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 NiKo 86% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; lower aim 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
Areas to improve
Reaction time. 618ms 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 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 17–10 | 63% | 0.02 | |
| B | 25 | 13–12 | 52% | -0.00 | |
| B | 22 | 10–12 | 45% | -0.00 | |
| A | 10 | 6–4 | 60% | 0.01 | |
| B | 6 | 3–3 | 50% | 0.00 | |
| — | 3 | 1–2 | 33% | -0.07 | |
| — | 3 | 1–2 | 33% | 0.05 | |
| — | 2 | 2–0 | 100% | 0.07 | |
| — | 1 | 0–1 | 0% | 0.05 | |
| — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (45% over 22). Start with the 6 essential Inferno 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 116 | 41% | 1.00 | 14.6 |
| Anubis | 61 | 49% | 0.95 | 14.6 |
| Ancient | 56 | 52% | 1.07 | 15.8 |
| Inferno | 55 | 47% | 0.99 | 14.1 |
| Dust2 | 53 | 57% | 1.08 | 15.8 |
| Nuke | 38 | 39% | 0.99 | 14.4 |
| Vertigo | 26 | 42% | 0.83 | 13.0 |
| Overpass | 16 | 62% | 1.20 | 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
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 27.7157% — 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.
45% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–14 | 0.01 | 9% | 29 Aug → | ||
| 14–16 | 0.09 | 12% | 29 Aug → | ||
| 9–13 | 0.05 | 25% | 24 Aug → | ||
| 13–9 | -0.00 | 17% | 22 Aug → | ||
| 12–16 | 0.06 | 24% | 17 Aug → | ||
| 6–13 | 0.02 | 9% | 17 Aug → | ||
| 6–13 | -0.06 | 6% | 15 Aug → | ||
| 13–10 | -0.00 | 9% | 13 Aug → | ||
| 13–3 | -0.03 | 9% | 11 Aug → | ||
| 9–13 | 0.09 | 12% | 10 Aug → | ||
| 7–13 | -0.00 | 13% | 8 Aug → | ||
| 7–13 | -0.03 | 32% | 8 Aug → | ||
| 13–11 | -0.02 | 12% | 8 Aug → | ||
| 0–13 | -0.01 | 18% | 7 Aug → | ||
| 9–13 | 0.01 | 12% | 6 Aug → | ||
| 8–13 | 0.05 | 29% | 5 Aug → | ||
| 13–10 | 0.02 | 16% | 1 Aug → | ||
| 9–5 | 0.01 | 17% | 1 Aug → | ||
| 13–5 | 0.12 | 23% | 1 Aug → | ||
| 6–13 | -0.00 | 12% | 1 Aug → | ||
| 13–6 | 0.02 | 16% | 29 Jul → | ||
| 1–10 | 0.09 | 32% | 29 Jul → | ||
| 13–3 | 0.04 | 14% | 14 Jul → | ||
| 13–7 | -0.01 | 20% | 24 Jun → | ||
| 4–13 | -0.00 | 13% | 24 Jun → | ||
| 13–10 | -0.03 | 6% | 18 Jun → | ||
| 13–10 | -0.01 | 19% | 15 Jun → | ||
| 6–13 | -0.07 | 11% | 15 Jun → | ||
| 8–13 | -0.07 | 10% | 7 Jun → | ||
| 11–13 | -0.03 | 14% | 4 Jun → | ||
| 3–13 | -0.05 | 9% | 1 Jun → | ||
| 13–5 | 0.06 | 12% | 26 May → | ||
| 13–9 | -0.00 | 10% | 19 May → | ||
| 7–13 | 0.08 | 19% | 16 May → | ||
| 12–16 | 0.03 | 27% | 7 May → | ||
| 13–6 | -0.04 | 20% | 5 May → | ||
| 13–0 | -0.04 | 13% | 22 Apr → | ||
| 9–13 | 0.03 | 19% | 22 Apr → | ||
| 13–9 | 0.06 | 9% | 19 Apr → | ||
| 13–4 | 0.09 | 12% | 19 Apr → | ||
| 3–13 | -0.08 | 14% | 19 Apr → | ||
| 16–13 | -0.02 | 11% | 12 Apr → | ||
| 13–10 | -0.04 | 18% | 11 Apr → | ||
| 13–10 | -0.06 | 17% | 6 Apr → | ||
| 4–13 | -0.07 | 21% | 6 Apr → | ||
| 13–3 | 0.03 | 12% | 6 Apr → | ||
| 13–8 | 0.09 | 22% | 6 Apr → | ||
| 13–10 | 0.02 | 5% | 6 Apr → | ||
| 13–7 | 0.11 | 13% | 27 Mar → | ||
| 13–11 | -0.00 | 16% | 22 Mar → | ||
| 7–13 | -0.06 | 14% | 21 Mar → | ||
| 10–13 | 0.03 | 19% | 21 Mar → | ||
| 9–13 | -0.04 | 16% | 15 Mar → | ||
| 7–13 | 0.09 | 16% | 13 Mar → | ||
| 13–16 | -0.02 | 11% | 13 Mar → | ||
| 17–19 | 0.01 | 11% | 13 Mar → | ||
| 8–13 | 0.01 | 15% | 11 Mar → | ||
| 13–10 | 0.03 | 15% | 11 Mar → | ||
| 13–9 | -0.02 | 13% | 10 Mar → | ||
| 13–4 | -0.12 | 10% | 9 Mar → | ||
| 13–3 | 0.01 | 9% | 8 Mar → | ||
| 16–12 | 0.05 | 12% | 8 Mar → | ||
| 7–13 | -0.05 | 6% | 8 Mar → | ||
| 13–11 | 0.05 | 12% | 4 Mar → | ||
| 16–13 | -0.02 | 15% | 3 Mar → | ||
| 11–13 | -0.04 | 10% | 3 Mar → | ||
| 10–13 | 0.08 | 13% | 2 Mar → | ||
| 3–13 | 0.04 | 26% | 2 Mar → | ||
| 13–9 | 0.08 | 9% | 25 Feb → | ||
| 13–11 | -0.00 | 11% | 24 Feb → | ||
| 13–11 | -0.07 | 11% | 22 Feb → | ||
| 13–10 | 0.09 | 11% | 21 Feb → | ||
| 13–2 | 0.03 | 5% | 17 Feb → | ||
| 8–13 | 0.05 | 21% | 16 Feb → | ||
| 16–14 | -0.04 | 12% | 16 Feb → | ||
| 16–13 | 0.00 | 9% | 11 Feb → | ||
| 13–7 | -0.02 | 13% | 10 Feb → | ||
| 15–15 | -0.03 | 14% | 10 Feb → | ||
| 9–6 | 0.10 | 17% | 7 Feb → | ||
| 13–5 | -0.11 | 14% | 6 Feb → | ||
| 14–16 | -0.03 | 9% | 6 Feb → | ||
| 13–7 | -0.00 | 10% | 6 Feb → | ||
| 13–11 | -0.04 | 11% | 6 Feb → | ||
| 13–6 | 0.02 | 21% | 6 Feb → | ||
| 16–14 | -0.04 | 12% | 6 Feb → | ||
| 6–13 | 0.02 | 13% | 6 Feb → | ||
| 15–15 | -0.01 | 10% | 6 Feb → | ||
| 6–13 | 0.02 | 12% | 5 Feb → | ||
| 13–10 | 0.03 | 13% | 4 Feb → | ||
| 7–13 | -0.12 | 10% | 3 Feb → | ||
| 13–8 | -0.06 | 17% | 2 Feb → | ||
| 13–8 | 0.01 | 14% | 30 Jan → | ||
| 13–3 | 0.08 | 26% | 27 Jan → | ||
| 11–13 | 0.03 | 23% | 13 Jan → | ||
| 9–13 | -0.01 | 10% | 12 Jan → | ||
| 13–3 | 0.08 | 16% | 12 Jan → | ||
| 5–13 | 0.04 | 8% | 12 Jan → | ||
| 13–11 | 0.07 | 10% | 12 Jan → | ||
| 3–13 | -0.10 | 9% | 10 Jan → | ||
| 10–13 | 0.01 | 18% | 8 Jan → |
Match data via Leetify.