Mibz — CS2 Stats
76561198058775201[U:1:98509473]✓ No bans
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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.
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 ropz 84% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower utility contribution; 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 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% | 0.04 | |
| A | 16 | 9–7 | 56% | 0.00 | |
| S | 12 | 9–3 | 75% | 0.01 | |
| C | 9 | 4–5 | 44% | 0.01 | |
| S | 8 | 7–1 | 88% | 0.04 | |
| S | 8 | 6–2 | 75% | 0.01 | |
| A | 7 | 4–3 | 57% | 0.03 | |
| — | 2 | 2–0 | 100% | 0.06 | |
| office | — | 2 | 1–1 | 50% | 0.02 |
| agency | — | 2 | 0–2 | 0% | 0.09 |
| grail | — | 2 | 0–2 | 0% | -0.01 |
| mills | — | 2 | 2–0 | 100% | 0.06 |
| — | 2 | 2–0 | 100% | 0.13 | |
| italy | — | 1 | 1–0 | 100% | -0.02 |
| — | 1 | 1–0 | 100% | 0.05 | |
| jura | — | 1 | 0–1 | 0% | 0.08 |
| thera | — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 7 | 71% | 1.23 | 14.6 |
| Mirage | 6 | 67% | 1.46 | 18.3 |
| Inferno | 3 | 67% | 1.22 | 16.3 |
| Nuke | 2 | 50% | 1.54 | 19.0 |
| Overpass | 2 | 100% | 1.44 | 16.0 |
| Ancient | 1 | 100% | 1.58 | 19.0 |
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.
44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| italy | 13–8 | -0.02 | 20% | 23 May → | |
| 13–5 | 0.05 | 11% | 23 May → | ||
| 13–10 | 0.04 | 23% | 12 Dec → | ||
| 11–13 | 0.06 | 20% | 12 Dec → | ||
| 13–5 | 0.08 | 12% | 21 Sept → | ||
| 6–13 | -0.05 | 18% | 21 Sept → | ||
| 15–15 | 0.02 | 14% | 20 Sept → | ||
| 6–13 | -0.03 | 26% | 20 Sept → | ||
| 8–13 | 0.00 | 16% | 19 Sept → | ||
| 13–9 | -0.03 | 11% | 19 Sept → | ||
| 6–13 | 0.02 | 26% | 19 Sept → | ||
| 13–8 | 0.01 | 28% | 19 Sept → | ||
| office | 13–9 | 0.01 | 14% | 18 Sept → | |
| 13–9 | 0.07 | 9% | 16 Sept → | ||
| 16–14 | -0.02 | 15% | 16 Sept → | ||
| 15–15 | -0.01 | 24% | 14 Sept → | ||
| 13–5 | 0.01 | 17% | 14 Sept → | ||
| agency | 10–13 | 0.05 | 12% | 15 Jun → | |
| 13–5 | 0.03 | 16% | 15 Jun → | ||
| 8–13 | 0.04 | 20% | 17 May → | ||
| agency | 12–12 | 0.13 | 12% | 16 May → | |
| jura | 12–12 | 0.08 | 10% | 16 May → | |
| grail | 3–13 | -0.02 | 30% | 16 May → | |
| grail | 8–13 | -0.00 | 29% | 9 May → | |
| 6–13 | -0.07 | 14% | 20 Apr → | ||
| 7–13 | -0.05 | 11% | 4 Jan → | ||
| 13–2 | 0.08 | 12% | 4 Jan → | ||
| 13–5 | 0.10 | 15% | 31 Dec → | ||
| 6–13 | -0.01 | 14% | 31 Dec → | ||
| 4–13 | -0.09 | 21% | 13 Aug → | ||
| 13–3 | 0.11 | 18% | 25 Jul → | ||
| 13–10 | 0.08 | 14% | 6 Jul → | ||
| office | 8–13 | 0.02 | 19% | 6 Jul → | |
| mills | 13–7 | 0.06 | 17% | 27 Jun → | |
| mills | 13–5 | 0.06 | 23% | 27 Jun → | |
| 1–1 | -0.10 | 0% | 27 Jun → | ||
| 13–6 | 0.05 | 15% | 27 Jun → | ||
| 13–4 | 0.09 | 15% | 27 Jun → | ||
| thera | 13–10 | 0.03 | 24% | 27 Jun → | |
| 8–13 | -0.06 | 8% | 23 Jun → | ||
| 10–13 | 0.04 | 19% | 23 Jun → | ||
| 6–13 | -0.02 | 13% | 16 Jun → | ||
| 13–8 | 0.09 | 22% | 16 Jun → | ||
| 12–12 | 0.02 | 18% | 7 Jun → | ||
| 13–10 | -0.03 | 17% | 7 Jun → | ||
| 13–10 | -0.06 | 9% | 7 Jun → | ||
| 13–11 | 0.05 | 16% | 31 May → | ||
| 10–13 | -0.02 | 23% | 31 May → | ||
| 13–7 | 0.03 | 14% | 27 May → | ||
| 15–15 | 0.07 | 16% | 18 May → | ||
| 13–3 | 0.03 | 14% | 17 May → | ||
| 14–16 | -0.03 | 18% | 17 May → | ||
| 13–3 | 0.04 | 15% | 17 May → | ||
| 5–13 | 0.01 | 24% | 11 May → | ||
| 13–3 | 0.14 | 14% | 11 May → | ||
| 13–2 | 0.12 | 32% | 30 Apr → | ||
| 13–6 | 0.06 | 12% | 5 Apr → | ||
| 10–13 | 0.02 | 18% | 5 Apr → | ||
| 13–6 | 0.11 | 23% | 4 Apr → | ||
| 13–4 | 0.07 | 19% | 3 Apr → | ||
| 13–6 | 0.01 | 19% | 1 Apr → | ||
| 6–13 | -0.03 | 14% | 15 Mar → | ||
| 13–11 | -0.01 | 23% | 9 Mar → | ||
| 13–10 | -0.04 | 14% | 9 Mar → | ||
| 0–13 | -0.04 | 19% | 9 Mar → | ||
| 13–11 | 0.03 | 23% | 8 Mar → | ||
| 6–13 | 0.06 | 13% | 8 Mar → | ||
| 13–6 | 0.10 | 15% | 3 Mar → | ||
| 13–2 | 0.02 | 14% | 29 Feb → | ||
| 13–7 | -0.01 | 16% | 28 Feb → | ||
| 13–2 | 0.10 | 25% | 25 Feb → | ||
| 8–13 | -0.00 | 13% | 15 Feb → | ||
| 13–10 | -0.04 | 11% | 11 Feb → | ||
| 13–8 | 0.12 | 13% | 11 Feb → | ||
| 6–13 | 0.09 | 11% | 10 Feb → | ||
| 6–1 | 0.19 | 11% | 10 Feb → | ||
| 8–13 | 0.00 | 16% | 6 Feb → | ||
| 13–4 | 0.18 | 28% | 6 Feb → | ||
| 13–8 | -0.03 | 18% | 5 Feb → | ||
| 13–7 | 0.08 | 19% | 4 Feb → | ||
| 11–13 | 0.01 | 16% | 4 Feb → | ||
| 13–11 | 0.01 | 19% | 4 Feb → | ||
| 13–7 | 0.03 | 11% | 4 Feb → | ||
| 13–8 | 0.03 | 16% | 4 Feb → | ||
| 13–3 | 0.00 | 20% | 3 Feb → | ||
| 5–10 | -0.13 | 15% | 3 Feb → | ||
| 13–6 | 0.07 | 10% | 3 Feb → | ||
| 13–10 | -0.01 | 28% | 1 Feb → | ||
| 4–13 | -0.10 | 15% | 1 Feb → | ||
| 13–9 | -0.02 | 8% | 29 Jan → | ||
| 3–13 | -0.04 | 33% | 28 Jan → | ||
| 13–6 | 0.03 | 11% | 28 Jan → | ||
| 13–8 | 0.06 | 16% | 28 Jan → | ||
| 12–12 | -0.01 | 11% | 28 Jan → | ||
| 13–9 | -0.05 | 9% | 25 Jan → | ||
| 13–10 | 0.04 | 11% | 25 Jan → | ||
| 13–11 | 0.11 | 17% | 24 Jan → | ||
| 12–12 | -0.03 | 20% | 24 Jan → | ||
| 13–8 | 0.09 | 15% | 23 Jan → | ||
| 10–13 | -0.01 | 21% | 22 Jan → |
Match data via Leetify.