Miki — CS2 Stats
76561198249364110[U:1:289098382]
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,022), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 36.0% | 46.2% | 47.2% | 11.2% short |
| Shot accuracy | 14.2% | 12.5% | 12.3% | above |
| Kill/death ratio | 0.81 | 1.06 | 1.07 | 0.27 short |
| Match win rate | 47.1% | 45.9% | 46.3% | meets |
This profile matches the typical Level 8 player on 2 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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: 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 89% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: 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. 622ms 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 4.8/10 (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 |
|---|---|---|---|---|---|
| C | 21 | 8–13 | 38% | 0.00 | |
| C | 20 | 7–13 | 35% | 0.01 | |
| C | 19 | 7–12 | 37% | 0.02 | |
| S | 11 | 8–3 | 73% | 0.01 | |
| A | 11 | 6–5 | 55% | -0.01 | |
| D | 5 | 1–4 | 20% | -0.05 | |
| — | 4 | 1–3 | 25% | 0.02 | |
| — | 4 | 3–1 | 75% | -0.02 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| eldorado | — | 1 | 0–1 | 0% | -0.17 |
| — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 178 | 50% | 1.04 | 15.6 |
| Ancient | 116 | 54% | 1.04 | 16.6 |
| Dust2 | 113 | 44% | 0.93 | 15.1 |
| Anubis | 78 | 54% | 1.14 | 16.6 |
| Inferno | 78 | 38% | 0.94 | 14.9 |
| Overpass | 25 | 64% | 1.13 | 17.7 |
| Nuke | 13 | 38% | 0.75 | 11.9 |
| Vertigo | 11 | 55% | 1.04 | 18.4 |
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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.03 | 13% | 23 Aug → | ||
| 7–13 | 0.01 | 22% | 17 Aug → | ||
| 6–13 | 0.04 | 7% | 17 Aug → | ||
| eldorado | 0–9 | -0.17 | 0% | 20 Jul → | |
| 9–3 | 0.10 | 29% | 20 Jul → | ||
| 13–7 | -0.06 | 21% | 7 Jul → | ||
| 9–13 | 0.03 | 13% | 7 Jul → | ||
| 12–12 | -0.01 | 23% | 5 Jul → | ||
| 13–10 | 0.00 | 15% | 5 Jul → | ||
| 13–7 | -0.02 | 23% | 21 Jun → | ||
| 11–13 | 0.01 | 10% | 17 Jun → | ||
| 7–13 | -0.09 | 0% | 11 Jun → | ||
| 16–12 | 0.07 | 20% | 5 Jun → | ||
| 10–13 | 0.06 | 16% | 31 May → | ||
| 4–13 | -0.08 | 8% | 31 May → | ||
| 13–10 | 0.08 | 34% | 31 May → | ||
| 4–13 | 0.01 | 19% | 24 May → | ||
| 4–13 | -0.01 | 12% | 24 May → | ||
| 13–5 | 0.00 | 20% | 24 May → | ||
| 4–13 | 0.00 | 28% | 21 May → | ||
| 13–11 | 0.02 | 23% | 21 May → | ||
| 13–9 | 0.02 | 3% | 21 May → | ||
| 13–9 | -0.01 | 11% | 13 May → | ||
| 5–13 | -0.01 | 6% | 11 May → | ||
| 13–11 | 0.03 | 27% | 11 May → | ||
| 4–13 | -0.05 | 20% | 11 May → | ||
| 13–8 | 0.04 | 12% | 8 May → | ||
| 12–12 | 0.02 | 21% | 8 May → | ||
| 8–8 | 0.03 | 3% | 8 May → | ||
| 5–13 | 0.00 | 15% | 8 May → | ||
| 7–13 | -0.06 | 9% | 7 May → | ||
| 10–13 | -0.04 | 0% | 5 May → | ||
| 15–15 | -0.00 | 18% | 5 May → | ||
| 15–15 | 0.01 | 27% | 5 May → | ||
| 7–13 | 0.02 | 12% | 5 May → | ||
| 5–13 | -0.08 | 21% | 3 May → | ||
| 3–13 | -0.11 | 13% | 2 May → | ||
| 13–8 | 0.10 | 15% | 2 May → | ||
| 13–5 | 0.02 | 38% | 1 May → | ||
| 13–9 | 0.02 | 18% | 1 May → | ||
| 5–13 | -0.03 | 26% | 1 May → | ||
| 9–13 | -0.07 | 19% | 1 May → | ||
| 11–13 | -0.04 | 18% | 29 Apr → | ||
| 13–3 | -0.07 | 20% | 29 Apr → | ||
| 6–13 | 0.07 | 33% | 29 Apr → | ||
| 3–13 | -0.11 | 26% | 27 Apr → | ||
| 10–13 | -0.03 | 10% | 27 Apr → | ||
| 11–13 | 0.06 | 24% | 27 Apr → | ||
| 10–13 | 0.01 | 20% | 26 Apr → | ||
| 7–13 | -0.08 | 23% | 26 Apr → | ||
| 13–5 | 0.01 | 24% | 26 Apr → | ||
| 16–14 | 0.02 | 18% | 25 Apr → | ||
| 8–13 | -0.06 | 18% | 24 Apr → | ||
| 13–10 | 0.01 | 18% | 24 Apr → | ||
| 10–13 | -0.05 | 13% | 24 Apr → | ||
| 13–8 | 0.00 | 33% | 23 Apr → | ||
| 11–13 | 0.05 | 4% | 22 Apr → | ||
| 13–4 | 0.11 | 20% | 22 Apr → | ||
| 12–12 | -0.00 | 11% | 22 Apr → | ||
| 13–9 | 0.12 | 22% | 22 Apr → | ||
| 13–11 | 0.04 | 13% | 20 Apr → | ||
| 13–5 | 0.07 | 18% | 20 Apr → | ||
| 8–13 | -0.01 | 18% | 20 Apr → | ||
| 13–6 | 0.05 | 26% | 20 Apr → | ||
| 13–2 | 0.22 | 28% | 20 Apr → | ||
| 16–13 | -0.04 | 17% | 18 Apr → | ||
| 13–8 | 0.02 | 23% | 16 Apr → | ||
| 13–6 | 0.04 | 25% | 16 Apr → | ||
| 13–11 | -0.03 | 21% | 14 Apr → | ||
| 1–13 | -0.00 | 15% | 14 Apr → | ||
| 4–13 | 0.04 | 21% | 14 Apr → | ||
| 13–11 | 0.06 | 18% | 13 Apr → | ||
| 11–13 | -0.02 | 18% | 6 Apr → | ||
| 14–16 | -0.03 | 20% | 6 Apr → | ||
| 10–13 | -0.02 | 0% | 5 Apr → | ||
| 13–6 | -0.01 | 21% | 5 Apr → | ||
| 13–11 | 0.08 | 14% | 5 Apr → | ||
| 9–13 | -0.02 | 17% | 4 Apr → | ||
| 13–8 | 0.04 | 23% | 4 Apr → | ||
| 13–9 | 0.02 | 10% | 3 Apr → | ||
| 13–8 | -0.06 | 32% | 26 Mar → | ||
| 11–13 | 0.01 | 42% | 25 Mar → | ||
| 13–8 | -0.03 | 18% | 25 Mar → | ||
| 11–13 | 0.03 | 26% | 25 Mar → | ||
| 11–13 | 0.02 | 16% | 24 Mar → | ||
| 13–6 | 0.02 | 42% | 24 Mar → | ||
| 12–12 | 0.08 | 12% | 23 Mar → | ||
| 4–13 | -0.01 | 17% | 22 Mar → | ||
| 16–13 | 0.01 | 16% | 22 Mar → | ||
| 11–13 | -0.04 | 13% | 20 Mar → | ||
| 3–13 | -0.02 | 22% | 14 Mar → | ||
| 15–15 | -0.02 | 13% | 14 Mar → | ||
| 15–15 | -0.02 | 30% | 13 Mar → | ||
| 13–10 | -0.05 | 23% | 13 Mar → | ||
| 13–4 | 0.12 | 19% | 12 Mar → | ||
| 6–13 | 0.05 | 27% | 12 Mar → | ||
| 13–3 | 0.08 | 35% | 12 Mar → | ||
| 13–8 | 0.08 | 29% | 12 Mar → | ||
| 7–13 | -0.03 | 12% | 11 Mar → | ||
| 4–13 | -0.13 | 20% | 11 Mar → |
Match data via Leetify.
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