MnH — CS2 Stats
NO76561198064832590[U:1:104566862]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median |
|---|---|---|
| Headshot rate | 50.3% | 52.0% |
| Shot accuracy | 20.1% | 13.7% |
| Kill/death ratio | 1.02 | 1.08 |
| Match win rate | 50.4% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.00 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Effective flashes
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 89% playstyle similarity
Most alike: utility contribution, opening-duel success.
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
Strengths
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Reaction time. 625ms 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 6.1/10 (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 |
|---|---|---|---|---|---|
| A | 26 | 16–10 | 62% | -0.01 | |
| A | 21 | 12–9 | 57% | 0.01 | |
| B | 15 | 8–7 | 53% | -0.00 | |
| C | 12 | 5–7 | 42% | 0.00 | |
| C | 8 | 3–5 | 38% | -0.00 | |
| C | 7 | 3–4 | 43% | -0.03 | |
| D | 5 | 1–4 | 20% | 0.01 | |
| — | 4 | 3–1 | 75% | -0.01 | |
| — | 2 | 2–0 | 100% | 0.00 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient 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 |
|---|---|---|---|---|
| Dust2 | 62 | 50% | 1.08 | 16.5 |
| Anubis | 49 | 37% | 0.94 | 15.8 |
| Mirage | 35 | 57% | 1.05 | 16.4 |
| Inferno | 18 | 50% | 1.15 | 17.0 |
| Nuke | 12 | 42% | 0.91 | 15.9 |
| Ancient | 11 | 55% | 0.98 | 15.6 |
| Cache | 9 | 67% | 1.34 | 16.9 |
| Overpass | 7 | 71% | 1.13 | 16.6 |
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 32.4896% — 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.
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 | |
|---|---|---|---|---|---|
| 6–13 | -0.02 | 27% | 31 Jul → | ||
| 6–13 | -0.03 | 15% | 30 Jul → | ||
| 13–16 | -0.00 | 21% | 23 Jun → | ||
| 13–4 | 0.07 | 35% | 16 Jun → | ||
| 11–13 | -0.01 | 25% | 14 Jun → | ||
| 11–13 | -0.03 | 30% | 12 Jun → | ||
| 13–8 | 0.08 | 28% | 7 Jun → | ||
| 13–5 | -0.06 | 23% | 7 Jun → | ||
| 25–28 | -0.03 | 13% | 6 Jun → | ||
| 6–13 | -0.05 | 23% | 6 Jun → | ||
| 8–13 | -0.03 | 19% | 6 Jun → | ||
| 19–16 | -0.06 | 21% | 5 Jun → | ||
| 3–13 | -0.02 | 30% | 31 May → | ||
| 10–13 | -0.07 | 23% | 30 May → | ||
| 13–7 | 0.08 | 39% | 30 May → | ||
| 5–13 | 0.00 | 20% | 30 May → | ||
| 13–8 | 0.02 | 17% | 30 May → | ||
| 13–10 | -0.05 | 22% | 29 May → | ||
| 13–5 | 0.01 | 18% | 29 May → | ||
| 13–7 | 0.07 | 35% | 29 May → | ||
| 13–11 | 0.01 | 25% | 29 May → | ||
| 9–13 | 0.01 | 28% | 29 May → | ||
| 7–13 | 0.01 | 9% | 29 May → | ||
| 13–11 | 0.01 | 16% | 29 May → | ||
| 5–13 | -0.06 | 23% | 29 May → | ||
| 7–13 | 0.01 | 20% | 28 May → | ||
| 8–13 | -0.08 | 20% | 28 May → | ||
| 13–11 | 0.09 | 20% | 28 May → | ||
| 13–5 | -0.03 | 23% | 27 May → | ||
| 13–6 | -0.00 | 26% | 27 May → | ||
| 13–9 | 0.00 | 18% | 27 May → | ||
| 13–9 | 0.03 | 13% | 27 May → | ||
| 2–13 | -0.05 | 27% | 26 May → | ||
| 11–13 | -0.01 | 19% | 26 May → | ||
| 2–13 | 0.05 | 23% | 26 May → | ||
| 6–13 | -0.01 | 15% | 20 May → | ||
| 13–9 | 0.01 | 33% | 20 May → | ||
| 13–4 | 0.01 | 26% | 19 May → | ||
| 13–11 | -0.00 | 33% | 19 May → | ||
| 19–22 | 0.01 | 16% | 19 May → | ||
| 13–16 | -0.07 | 23% | 19 May → | ||
| 12–16 | -0.01 | 15% | 19 May → | ||
| 6–13 | -0.03 | 24% | 18 May → | ||
| 13–1 | 0.05 | 13% | 18 May → | ||
| 13–11 | 0.06 | 22% | 18 May → | ||
| 13–5 | -0.04 | 23% | 15 May → | ||
| 13–10 | 0.00 | 28% | 15 May → | ||
| 13–7 | -0.01 | 22% | 15 May → | ||
| 10–13 | 0.00 | 27% | 15 May → | ||
| 9–13 | -0.02 | 17% | 14 May → | ||
| 2–13 | -0.06 | 25% | 14 May → | ||
| 13–7 | 0.00 | 12% | 14 May → | ||
| 17–19 | -0.01 | 20% | 14 May → | ||
| 13–7 | -0.01 | 14% | 14 May → | ||
| 13–2 | 0.07 | 21% | 13 May → | ||
| 13–11 | -0.03 | 19% | 13 May → | ||
| 16–14 | -0.00 | 16% | 13 May → | ||
| 13–8 | 0.01 | 17% | 13 May → | ||
| 13–3 | -0.06 | 15% | 12 May → | ||
| 13–10 | 0.03 | 41% | 12 May → | ||
| 13–5 | 0.05 | 24% | 12 May → | ||
| 8–13 | 0.00 | 21% | 12 May → | ||
| 9–13 | 0.07 | 22% | 11 May → | ||
| 13–9 | 0.03 | 22% | 11 May → | ||
| 8–13 | 0.04 | 32% | 11 May → | ||
| 13–7 | 0.07 | 32% | 11 May → | ||
| 1–13 | -0.04 | 32% | 11 May → | ||
| 11–13 | -0.01 | 35% | 10 May → | ||
| 13–10 | -0.05 | 28% | 3 May → | ||
| 9–13 | -0.04 | 36% | 30 Apr → | ||
| 8–13 | -0.07 | 19% | 30 Apr → | ||
| 13–11 | 0.02 | 17% | 30 Apr → | ||
| 6–13 | -0.04 | 30% | 30 Apr → | ||
| 13–1 | -0.02 | 33% | 30 Apr → | ||
| 13–8 | -0.01 | 22% | 29 Apr → | ||
| 13–3 | 0.08 | 22% | 29 Apr → | ||
| 2–13 | 0.03 | 16% | 26 Apr → | ||
| 5–13 | -0.07 | 14% | 26 Apr → | ||
| 8–13 | -0.08 | 23% | 24 Apr → | ||
| 13–4 | 0.05 | 44% | 24 Apr → | ||
| 13–7 | -0.01 | 28% | 24 Apr → | ||
| 13–4 | -0.04 | 10% | 24 Apr → | ||
| 13–6 | 0.08 | 19% | 24 Apr → | ||
| 12–16 | 0.02 | 18% | 22 Apr → | ||
| 10–13 | 0.04 | 25% | 22 Apr → | ||
| 1–13 | -0.06 | 14% | 21 Apr → | ||
| 13–11 | 0.02 | 21% | 21 Apr → | ||
| 13–2 | 0.10 | 23% | 21 Apr → | ||
| 14–16 | 0.04 | 16% | 20 Apr → | ||
| 8–13 | 0.04 | 17% | 14 Apr → | ||
| 13–5 | 0.07 | 28% | 14 Apr → | ||
| 13–10 | -0.02 | 23% | 14 Apr → | ||
| 8–13 | -0.06 | 17% | 14 Apr → | ||
| 13–6 | -0.03 | 23% | 13 Apr → | ||
| 5–13 | -0.06 | 16% | 13 Apr → | ||
| 7–13 | 0.01 | 24% | 13 Apr → | ||
| 13–8 | 0.01 | 18% | 12 Apr → | ||
| 13–7 | -0.00 | 26% | 12 Apr → | ||
| 13–11 | 0.01 | 20% | 11 Apr → | ||
| 13–5 | -0.03 | 23% | 11 Apr → |
Match data via Leetify.