Miiro — CS2 Stats
76561198120394715[U:1:160128987]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.00 avg rating
Player DNA
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 b1t 85% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
T-side openings. Opening success drops from 49% on CT to 32% 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 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 27 | 14–13 | 52% | -0.00 | |
| C | 19 | 7–12 | 37% | 0.00 | |
| C | 14 | 6–8 | 43% | -0.02 | |
| C | 10 | 4–6 | 40% | 0.01 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| B | 8 | 4–4 | 50% | -0.02 | |
| S | 6 | 5–1 | 83% | -0.00 | |
| — | 4 | 1–3 | 25% | -0.00 | |
| jura | — | 2 | 2–0 | 100% | 0.01 |
| — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 68 | 63% | 1.21 | 16.8 |
| Ancient | 57 | 47% | 1.19 | 17.7 |
| Anubis | 49 | 51% | 0.97 | 14.9 |
| Train | 19 | 53% | 1.15 | 15.5 |
| Mirage | 17 | 47% | 1.00 | 15.0 |
| Dust2 | 16 | 56% | 0.99 | 15.8 |
| Nuke | 11 | 36% | 0.96 | 16.0 |
| Overpass | 9 | 44% | 0.97 | 13.7 |
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 0.4725 — 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 31.9018% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.04 | 38% | 25 Aug → | ||
| 13–16 | 0.01 | 31% | 24 Aug → | ||
| 22–20 | 0.00 | 13% | 23 Aug → | ||
| 14–16 | -0.04 | 8% | 22 Aug → | ||
| 13–3 | 0.00 | 41% | 15 Aug → | ||
| 13–8 | -0.04 | 40% | 13 Aug → | ||
| 5–13 | -0.01 | 19% | 9 Aug → | ||
| 13–10 | 0.02 | 27% | 9 Aug → | ||
| 4–13 | 0.02 | 16% | 7 Aug → | ||
| 7–13 | 0.00 | 26% | 5 Aug → | ||
| 8–13 | -0.03 | 19% | 5 Aug → | ||
| 13–9 | 0.05 | 41% | 4 Aug → | ||
| 13–5 | 0.05 | 9% | 26 Jul → | ||
| 13–6 | 0.08 | 8% | 21 Jul → | ||
| 10–13 | -0.02 | 17% | 9 Jul → | ||
| 8–13 | -0.06 | 15% | 1 Jun → | ||
| 10–13 | 0.02 | 10% | 29 May → | ||
| 10–13 | -0.05 | 12% | 28 May → | ||
| 12–16 | -0.03 | 33% | 26 May → | ||
| 13–11 | 0.01 | 19% | 25 May → | ||
| 2–13 | -0.05 | 24% | 25 May → | ||
| 13–9 | -0.02 | 12% | 24 May → | ||
| 5–13 | 0.04 | 15% | 24 May → | ||
| 13–7 | 0.01 | 22% | 21 May → | ||
| 8–13 | -0.04 | 18% | 19 May → | ||
| 13–10 | 0.10 | 24% | 11 May → | ||
| 16–12 | 0.03 | 16% | 26 Apr → | ||
| 13–5 | 0.03 | 18% | 18 Apr → | ||
| 7–13 | -0.05 | 24% | 23 Mar → | ||
| 1–13 | -0.07 | 18% | 23 Jan → | ||
| 13–8 | -0.03 | 29% | 14 Jan → | ||
| 13–10 | 0.07 | 37% | 12 Jan → | ||
| 6–13 | 0.06 | 18% | 19 Dec → | ||
| 2–13 | -0.06 | 43% | 18 Dec → | ||
| 2–13 | -0.02 | 44% | 18 Dec → | ||
| 6–13 | -0.03 | 33% | 18 Dec → | ||
| 6–13 | 0.02 | 29% | 17 Dec → | ||
| 11–13 | -0.05 | 7% | 17 Dec → | ||
| 13–11 | 0.02 | 34% | 17 Dec → | ||
| 6–13 | -0.03 | 28% | 17 Dec → | ||
| 10–13 | 0.01 | 25% | 16 Dec → | ||
| 10–13 | -0.01 | 21% | 16 Dec → | ||
| 13–11 | 0.02 | 9% | 16 Dec → | ||
| 13–11 | -0.00 | 30% | 14 Dec → | ||
| 14–16 | 0.01 | 16% | 14 Dec → | ||
| 5–13 | 0.04 | 21% | 14 Dec → | ||
| 13–6 | 0.02 | 21% | 12 Dec → | ||
| 13–11 | 0.02 | 24% | 12 Dec → | ||
| 5–13 | 0.03 | 33% | 9 Dec → | ||
| 10–13 | -0.05 | 22% | 5 Dec → | ||
| 5–13 | -0.02 | 11% | 4 Dec → | ||
| 13–7 | 0.03 | 23% | 19 Nov → | ||
| 13–9 | 0.07 | 28% | 18 Nov → | ||
| 7–13 | -0.07 | 22% | 11 Nov → | ||
| 9–13 | -0.02 | 26% | 10 Nov → | ||
| 15–15 | -0.03 | 20% | 10 Nov → | ||
| 9–13 | -0.01 | 16% | 10 Nov → | ||
| 12–12 | -0.04 | 25% | 9 Nov → | ||
| 13–6 | -0.01 | 18% | 3 Nov → | ||
| 15–15 | 0.04 | 33% | 19 Oct → | ||
| 6–2 | -0.02 | 25% | 18 Oct → | ||
| 2–12 | -0.02 | 17% | 17 Sept → | ||
| 13–6 | 0.06 | 36% | 17 Sept → | ||
| 13–8 | 0.02 | 42% | 10 Aug → | ||
| 13–7 | -0.05 | 29% | 5 Aug → | ||
| 6–13 | -0.06 | 16% | 5 Aug → | ||
| 13–7 | -0.01 | 18% | 4 Aug → | ||
| 4–13 | -0.09 | 31% | 17 Jul → | ||
| jura | 13–11 | -0.00 | 27% | 22 May → | |
| 10–13 | 0.01 | 23% | 22 May → | ||
| 13–6 | -0.05 | 36% | 14 May → | ||
| jura | 13–11 | 0.01 | 19% | 14 May → | |
| 2–13 | -0.07 | 36% | 27 Apr → | ||
| 10–13 | -0.01 | 35% | 26 Apr → | ||
| 5–13 | -0.08 | 21% | 25 Apr → | ||
| 16–13 | 0.04 | 17% | 21 Apr → | ||
| 13–16 | -0.01 | 17% | 13 Apr → | ||
| 6–9 | -0.06 | 38% | 7 Apr → | ||
| 16–12 | -0.03 | 14% | 4 Apr → | ||
| 9–2 | 0.06 | 100% | 2 Apr → | ||
| 16–13 | -0.01 | 20% | 1 Apr → | ||
| 16–13 | -0.02 | 20% | 28 Mar → | ||
| 13–10 | 0.01 | 16% | 27 Mar → | ||
| 13–7 | -0.04 | 15% | 27 Mar → | ||
| 5–13 | -0.09 | 22% | 9 Mar → | ||
| 13–7 | 0.11 | 24% | 9 Mar → | ||
| 2–13 | 0.01 | 35% | 6 Mar → | ||
| 9–13 | -0.03 | 27% | 5 Mar → | ||
| 13–10 | -0.05 | 40% | 4 Mar → | ||
| 13–11 | 0.04 | 41% | 1 Mar → | ||
| 8–13 | 0.07 | 34% | 28 Feb → | ||
| 10–13 | 0.02 | 28% | 28 Feb → | ||
| 13–16 | -0.04 | 9% | 23 Feb → | ||
| 13–10 | 0.04 | 25% | 22 Feb → | ||
| 13–8 | 0.03 | 13% | 22 Feb → | ||
| 16–12 | 0.07 | 14% | 21 Feb → | ||
| 15–19 | 0.04 | 14% | 20 Feb → | ||
| 5–13 | -0.02 | 9% | 20 Feb → | ||
| 17–19 | -0.02 | 14% | 19 Feb → | ||
| 13–6 | 0.02 | 15% | 19 Feb → |
Match data via Leetify.