Michoko — CS2 Stats
76561197998473649[U:1:38207921]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Strong CT-side openerLimited utility dependenceReliable in 1v1s
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 79% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; lower utility contribution.
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.
T-side openings. Opening success drops from 45% on CT to 24% 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 4.2/10 (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 | 21 | 11–10 | 52% | -0.01 | |
| C | 17 | 7–10 | 41% | 0.00 | |
| S | 13 | 9–4 | 69% | -0.03 | |
| A | 11 | 6–5 | 55% | 0.00 | |
| A | 10 | 6–4 | 60% | -0.03 | |
| D | 10 | 3–7 | 30% | -0.02 | |
| D | 8 | 0–8 | 0% | -0.02 | |
| C | 5 | 2–3 | 40% | -0.03 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 2 | 2–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Cache | 5 | 40% | 0.83 | 12.0 |
| Ancient | 3 | 67% | 0.91 | 10.3 |
| Anubis | 3 | 67% | 1.32 | 18.0 |
| Inferno | 2 | 100% | 1.09 | 13.5 |
| Nuke | 1 | 100% | 1.31 | 17.0 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.8038% — below the 15% mark we flag
- 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 0.2538 — 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 24.0732% — 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.
0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.03 | 57% | 29 Aug → | ||
| 9–13 | -0.03 | 22% | 29 Aug → | ||
| 10–13 | -0.06 | 2% | 28 Aug → | ||
| 13–10 | -0.05 | 7% | 28 Aug → | ||
| 13–11 | -0.03 | 12% | 28 Aug → | ||
| 13–2 | -0.07 | 9% | 28 Aug → | ||
| 11–13 | -0.01 | 5% | 28 Aug → | ||
| 13–6 | -0.01 | 9% | 28 Aug → | ||
| 12–12 | -0.03 | 8% | 27 Aug → | ||
| 11–13 | 0.02 | 18% | 27 Aug → | ||
| 13–6 | -0.08 | 18% | 27 Aug → | ||
| 11–13 | -0.02 | 17% | 27 Aug → | ||
| 8–13 | -0.01 | 17% | 27 Aug → | ||
| 7–13 | 0.10 | 13% | 27 Aug → | ||
| 13–3 | 0.08 | 14% | 27 Aug → | ||
| 9–13 | 0.04 | 16% | 27 Aug → | ||
| 13–11 | -0.02 | 15% | 26 Aug → | ||
| 13–7 | -0.01 | 14% | 26 Aug → | ||
| 13–10 | -0.04 | 5% | 26 Aug → | ||
| 4–11 | -0.08 | 20% | 26 Aug → | ||
| 5–13 | -0.13 | 11% | 26 Aug → | ||
| 13–5 | 0.09 | 12% | 25 Aug → | ||
| 3–13 | -0.08 | 13% | 24 Aug → | ||
| 2–13 | -0.04 | 17% | 24 Aug → | ||
| 1–13 | -0.03 | 39% | 24 Aug → | ||
| 13–5 | -0.03 | 14% | 23 Aug → | ||
| 13–10 | -0.04 | 12% | 23 Aug → | ||
| 11–13 | -0.02 | 9% | 23 Aug → | ||
| 13–8 | -0.06 | 0% | 23 Aug → | ||
| 11–13 | -0.03 | 10% | 23 Aug → | ||
| 3–13 | -0.01 | 29% | 23 Aug → | ||
| 5–13 | 0.03 | 15% | 23 Aug → | ||
| 13–8 | 0.04 | 14% | 23 Aug → | ||
| 13–11 | 0.05 | 16% | 22 Aug → | ||
| 13–6 | -0.05 | 3% | 22 Aug → | ||
| 12–12 | -0.03 | 20% | 22 Aug → | ||
| 5–13 | 0.04 | 21% | 22 Aug → | ||
| 8–13 | 0.02 | 13% | 22 Aug → | ||
| 13–11 | -0.05 | 8% | 22 Aug → | ||
| 5–13 | -0.07 | 16% | 21 Aug → | ||
| 13–10 | 0.02 | 11% | 21 Aug → | ||
| 13–7 | 0.05 | 20% | 21 Aug → | ||
| 7–13 | 0.09 | 17% | 21 Aug → | ||
| 15–15 | 0.03 | 14% | 20 Aug → | ||
| 13–6 | -0.00 | 11% | 20 Aug → | ||
| 15–15 | -0.05 | 24% | 19 Aug → | ||
| 13–6 | -0.06 | 12% | 19 Aug → | ||
| 11–13 | -0.07 | 7% | 18 Aug → | ||
| 13–9 | -0.07 | 16% | 18 Aug → | ||
| 7–13 | -0.04 | 17% | 16 Aug → | ||
| 13–6 | 0.04 | 18% | 16 Aug → | ||
| 7–13 | 0.01 | 20% | 16 Aug → | ||
| 9–13 | -0.02 | 22% | 15 Aug → | ||
| 1–13 | -0.02 | 33% | 15 Aug → | ||
| 1–13 | -0.07 | 26% | 15 Aug → | ||
| 9–13 | -0.06 | 25% | 15 Aug → | ||
| 10–13 | -0.04 | 13% | 15 Aug → | ||
| 13–3 | 0.07 | 33% | 15 Aug → | ||
| 0–11 | -0.02 | 15% | 14 Aug → | ||
| 13–10 | 0.03 | 18% | 14 Aug → | ||
| 7–13 | 0.02 | 12% | 14 Aug → | ||
| 13–6 | -0.01 | 9% | 14 Aug → | ||
| 9–13 | -0.02 | 17% | 14 Aug → | ||
| 13–10 | -0.07 | 16% | 16 May → | ||
| 13–1 | 0.02 | 19% | 16 May → | ||
| 13–3 | 0.11 | 11% | 16 May → | ||
| 11–13 | -0.05 | 40% | 15 May → | ||
| 11–13 | -0.06 | 6% | 15 May → | ||
| 7–13 | 0.03 | 19% | 14 May → | ||
| 13–8 | -0.03 | 8% | 14 May → | ||
| 13–5 | -0.04 | 16% | 14 May → | ||
| 1–11 | -0.08 | 24% | 14 May → | ||
| 7–13 | 0.00 | 12% | 14 May → | ||
| 13–5 | -0.04 | 21% | 14 May → | ||
| 8–13 | -0.02 | 18% | 13 May → | ||
| 10–13 | -0.00 | 20% | 13 May → | ||
| 13–1 | 0.00 | 24% | 13 May → | ||
| 13–5 | -0.07 | 15% | 13 May → | ||
| 13–11 | -0.05 | 14% | 13 May → | ||
| 11–13 | 0.05 | 12% | 13 May → | ||
| 13–8 | -0.09 | 15% | 12 May → | ||
| 4–13 | -0.06 | 18% | 12 May → | ||
| 6–13 | -0.07 | 11% | 12 May → | ||
| 13–11 | -0.02 | 17% | 12 May → | ||
| 7–13 | -0.06 | 11% | 11 May → | ||
| 13–3 | -0.00 | 35% | 11 May → | ||
| 13–8 | -0.01 | 8% | 11 May → | ||
| 8–13 | -0.04 | 8% | 11 May → | ||
| 13–6 | -0.00 | 11% | 10 May → | ||
| 9–13 | 0.01 | 13% | 10 May → | ||
| 13–10 | -0.02 | 14% | 10 May → | ||
| 13–5 | 0.04 | 18% | 10 May → | ||
| 2–11 | -0.07 | 13% | 10 May → | ||
| 13–10 | -0.04 | 11% | 10 May → | ||
| 13–3 | 0.11 | 14% | 10 May → | ||
| 10–13 | 0.08 | 14% | 9 May → | ||
| 13–8 | -0.03 | 15% | 9 May → | ||
| 13–7 | 0.10 | 14% | 9 May → | ||
| 6–13 | -0.00 | 16% | 8 May → | ||
| 13–7 | -0.01 | 10% | 8 May → |
Match data via Leetify.