米 — CS2 Stats
76561197961974356[U:1:1708628]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · +0.00 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Sharp aimerStrong CT-side openerEffective flashesReliable 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 88% playstyle similarity
Most alike: utility contribution, aim profile.
Where you differ: lower opening-duel success; lower positioning 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
Strengths
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 50 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 38% on CT to 22% 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 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 29 | 15–14 | 52% | 0.01 | |
| B | 21 | 10–11 | 48% | 0.01 | |
| B | 19 | 10–9 | 53% | 0.03 | |
| B | 14 | 7–7 | 50% | 0.04 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| A | 7 | 4–3 | 57% | 0.00 | |
| — | 2 | 1–1 | 50% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (48% over 21). Start with the 6 essential Dust 2 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 2 | 50% | 1.05 | 18.5 |
| Inferno | 2 | 50% | 1.19 | 23.5 |
| Mirage | 1 | 100% | 2.00 | 16.0 |
| Dust2 | 1 | 0% | 0.46 | 6.0 |
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.
- 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 22.1434% — 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.
48% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.03 | 42% | 27 Aug → | ||
| 10–13 | 0.00 | 31% | 26 Aug → | ||
| 13–4 | 0.03 | 19% | 25 Aug → | ||
| 13–1 | 0.04 | 19% | 25 Aug → | ||
| 2–13 | -0.03 | 35% | 21 Aug → | ||
| 6–13 | -0.10 | 24% | 21 Aug → | ||
| 4–13 | -0.02 | 32% | 21 Aug → | ||
| 4–13 | -0.01 | 32% | 20 Aug → | ||
| 4–13 | 0.02 | 26% | 20 Aug → | ||
| 6–13 | 0.02 | 38% | 20 Aug → | ||
| 13–11 | 0.00 | 24% | 20 Aug → | ||
| 13–6 | -0.01 | 41% | 17 Aug → | ||
| 13–11 | -0.02 | 23% | 17 Aug → | ||
| 16–14 | 0.01 | 25% | 17 Aug → | ||
| 8–13 | -0.02 | 24% | 17 Aug → | ||
| 13–5 | 0.01 | 25% | 17 Aug → | ||
| 13–4 | 0.02 | 39% | 17 Aug → | ||
| 16–14 | -0.01 | 24% | 17 Aug → | ||
| 3–5 | -0.02 | 13% | 16 Aug → | ||
| 7–13 | -0.03 | 34% | 16 Aug → | ||
| 6–13 | -0.06 | 29% | 16 Aug → | ||
| 7–13 | 0.01 | 15% | 16 Aug → | ||
| 16–14 | -0.03 | 19% | 16 Aug → | ||
| 13–4 | 0.05 | 25% | 16 Aug → | ||
| 9–13 | 0.03 | 35% | 16 Aug → | ||
| 13–10 | -0.00 | 29% | 16 Aug → | ||
| 16–14 | -0.03 | 26% | 15 Aug → | ||
| 7–13 | -0.02 | 23% | 15 Aug → | ||
| 1–13 | -0.06 | 14% | 15 Aug → | ||
| 13–4 | 0.06 | 27% | 15 Aug → | ||
| 6–3 | -0.04 | 45% | 14 Aug → | ||
| 13–5 | 0.02 | 20% | 14 Aug → | ||
| 15–15 | 0.01 | 29% | 14 Aug → | ||
| 13–8 | -0.04 | 17% | 14 Aug → | ||
| 13–8 | 0.01 | 28% | 14 Aug → | ||
| 6–13 | -0.01 | 17% | 14 Aug → | ||
| 6–13 | 0.01 | 18% | 14 Aug → | ||
| 13–10 | -0.03 | 11% | 9 Aug → | ||
| 8–13 | -0.03 | 18% | 9 Aug → | ||
| 13–9 | -0.02 | 37% | 5 Aug → | ||
| 12–12 | 0.01 | 18% | 5 Aug → | ||
| 10–13 | 0.00 | 22% | 5 Aug → | ||
| 13–8 | 0.07 | 19% | 4 Aug → | ||
| 13–11 | -0.06 | 23% | 4 Aug → | ||
| 10–0 | -0.00 | 6% | 4 Aug → | ||
| 13–6 | 0.10 | 22% | 4 Aug → | ||
| 13–7 | 0.05 | 24% | 4 Aug → | ||
| 13–8 | 0.02 | 14% | 4 Aug → | ||
| 6–13 | 0.10 | 30% | 4 Aug → | ||
| 9–13 | 0.05 | 32% | 4 Aug → | ||
| 2–13 | -0.05 | 24% | 4 Aug → | ||
| 6–13 | 0.04 | 23% | 3 Aug → | ||
| 8–13 | 0.01 | 32% | 3 Aug → | ||
| 3–13 | -0.04 | 28% | 3 Aug → | ||
| 13–5 | 0.24 | 26% | 3 Aug → | ||
| 13–4 | 0.05 | 16% | 3 Aug → | ||
| 13–11 | 0.04 | 25% | 2 Aug → | ||
| 6–13 | 0.04 | 28% | 2 Aug → | ||
| 11–13 | -0.01 | 35% | 30 Jul → | ||
| 13–6 | 0.12 | 26% | 29 Jul → | ||
| 13–8 | 0.04 | 29% | 25 Jul → | ||
| 13–9 | -0.06 | 9% | 21 Jul → | ||
| 13–9 | 0.13 | 25% | 13 Jul → | ||
| 5–13 | -0.00 | 27% | 13 Jul → | ||
| 13–5 | 0.15 | 24% | 13 Jul → | ||
| 16–12 | -0.03 | 22% | 12 Jul → | ||
| 13–2 | 0.03 | 20% | 11 Jul → | ||
| 10–13 | 0.00 | 27% | 11 Jul → | ||
| 8–13 | 0.01 | 19% | 6 Jul → | ||
| 13–6 | 0.12 | 28% | 5 Jul → | ||
| 10–13 | 0.07 | 16% | 5 Jul → | ||
| 5–13 | -0.05 | 12% | 5 Jul → | ||
| 13–8 | 0.11 | 32% | 4 Jul → | ||
| 13–11 | 0.03 | 30% | 4 Jul → | ||
| 8–13 | 0.03 | 41% | 4 Jul → | ||
| 13–2 | 0.04 | 6% | 3 Jul → | ||
| 13–8 | 0.05 | 21% | 3 Jul → | ||
| 10–13 | 0.01 | 25% | 3 Jul → | ||
| 13–8 | 0.06 | 28% | 30 Jun → | ||
| 16–12 | -0.01 | 21% | 30 Jun → | ||
| 8–13 | -0.01 | 9% | 30 Jun → | ||
| 10–13 | -0.05 | 33% | 30 Jun → | ||
| 7–13 | 0.10 | 30% | 30 Jun → | ||
| 6–13 | 0.08 | 29% | 30 Jun → | ||
| 12–12 | 0.00 | 29% | 28 Jun → | ||
| 13–6 | 0.04 | 17% | 28 Jun → | ||
| 15–15 | 0.03 | 22% | 27 Jun → | ||
| 13–8 | -0.09 | 23% | 27 Jun → | ||
| 13–8 | 0.05 | 31% | 27 Jun → | ||
| 13–5 | 0.10 | 21% | 23 Jun → | ||
| 10–13 | 0.02 | 23% | 23 Jun → | ||
| 8–13 | -0.04 | 24% | 21 Jun → | ||
| 13–11 | 0.01 | 19% | 21 Jun → | ||
| 13–9 | -0.07 | 20% | 21 Jun → | ||
| 13–5 | -0.00 | 15% | 20 Jun → | ||
| 9–13 | 0.07 | 26% | 15 Jun → | ||
| 4–13 | 0.03 | 26% | 15 Jun → | ||
| 10–13 | 0.02 | 19% | 7 Jun → | ||
| 13–7 | 0.10 | 19% | 31 May → | ||
| 8–13 | 0.02 | 15% | 19 May → |
Match data via Leetify.