![Sattmensch [Mascha]](https://avatars.steamstatic.com/0a6a596f042ec328035fd9a610cdbc9c69bb94c6_full.jpg)
Sattmensch [Mascha] — CS2 Stats
DE76561198064477522[U:1:104211794]Steam profile ↗
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 38.4% | 44.2% | 44.9% | 6.5% short |
| Shot accuracy | 14.6% | 11.2% | 11.8% | above |
| Kill/death ratio | 1.16 | 1.04 | 1.04 | above |
| Match win rate | 51.0% | 45.3% | 45.3% | above |
This profile matches the typical Level 6 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 6 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 · +0.01 avg rating
Player DNA
Primary style: Hybrid 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 Twistzz 90% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Reaction time. 584ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| office | B | 45 | 23–22 | 51% | -0.00 |
 cache | C | 12 | 5–7 | 42% | -0.00 |
 vertigo | S | 6 | 4–2 | 67% | 0.02 |
 anubis | D | 5 | 1–4 | 20% | 0.02 |
 inferno | S | 5 | 4–1 | 80% | 0.00 |
 dust2 | D | 5 | 1–4 | 20% | -0.00 |
 overpass | — | 4 | 2–2 | 50% | -0.01 |
| shelter | — | 4 | 3–1 | 75% | 0.03 |
 ancient | — | 4 | 2–2 | 50% | -0.02 |
| italy | — | 3 | 2–1 | 67% | -0.03 |
| fachwerk | — | 2 | 1–1 | 50% | 0.04 |
 nuke | — | 1 | 0–1 | 0% | 0.04 |
| boulder | — | 1 | 1–0 | 100% | -0.03 |
| alpine | — | 1 | 1–0 | 100% | 0.01 |
 train | — | 1 | 1–0 | 100% | -0.02 |
| stronghold | — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 41 | 54% | 1.21 | 14.2 |
| Anubis | 38 | 55% | 1.07 | 15.6 |
| Vertigo | 25 | 40% | 0.86 | 12.5 |
| Mirage | 23 | 61% | 1.08 | 12.9 |
| Inferno | 11 | 45% | 0.99 | 14.3 |
| Nuke | 9 | 22% | 0.86 | 13.0 |
| Overpass | 6 | 33% | 0.98 | 16.3 |
| Dust2 | 4 | 50% | 0.77 | 10.8 |
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 34.459% — 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 | |
|---|---|---|---|---|---|
| anubis | 11–13 | 0.03 | 17% | 23 Aug → | |
| nuke | 6–8 | 0.04 | 18% | 22 Aug → | |
| office | 13–8 | 0.05 | 24% | 19 Aug → | |
| office | 13–11 | -0.03 | 12% | 19 Aug → | |
| office | 0–13 | -0.10 | 24% | 16 Aug → | |
| office | 7–13 | -0.06 | 17% | 14 Aug → | |
| office | 11–13 | 0.02 | 24% | 14 Aug → | |
| office | 8–13 | 0.05 | 38% | 14 Aug → | |
| office | 7–1 | 0.05 | 0% | 14 Aug → | |
| office | 13–8 | -0.05 | 31% | 7 Aug → | |
| office | 9–13 | -0.00 | 22% | 7 Aug → | |
| vertigo | 13–11 | 0.03 | 21% | 3 Aug → | |
| office | 1–13 | -0.06 | 18% | 3 Aug → | |
| office | 10–13 | 0.01 | 9% | 3 Aug → | |
| overpass | 13–8 | -0.06 | 10% | 1 Aug → | |
| office | 10–13 | -0.07 | 18% | 31 Jul → | |
| office | 10–13 | 0.01 | 13% | 31 Jul → | |
| shelter | 13–5 | 0.02 | 22% | 15 Jul → | |
| ancient | 15–15 | 0.01 | 21% | 15 Jul → | |
| office | 6–13 | 0.03 | 17% | 13 Jul → | |
| shelter | 8–13 | -0.00 | 33% | 10 Jul → | |
| shelter | 13–5 | 0.05 | 23% | 10 Jul → | |
| fachwerk | 13–8 | 0.04 | 20% | 10 Jul → | |
| shelter | 13–8 | 0.05 | 15% | 9 Jul → | |
| fachwerk | 11–13 | 0.05 | 20% | 9 Jul → | |
| boulder | 5–2 | -0.03 | 30% | 9 Jul → | |
| inferno | 13–9 | 0.04 | 26% | 8 Jul → | |
| office | 11–13 | 0.05 | 26% | 8 Jul → | |
| office | 12–12 | -0.01 | 28% | 7 Jul → | |
| office | 13–7 | 0.09 | 23% | 7 Jul → | |
| office | 3–13 | 0.01 | 16% | 7 Jul → | |
| cache | 10–13 | -0.02 | 17% | 5 Jul → | |
| cache | 8–13 | 0.01 | 14% | 30 Jun → | |
| anubis | 9–13 | 0.04 | 23% | 30 Jun → | |
| vertigo | 5–13 | 0.00 | 13% | 28 Jun → | |
| anubis | 13–11 | 0.04 | 22% | 27 Jun → | |
| inferno | 13–10 | 0.02 | 16% | 26 Jun → | |
| office | 13–5 | 0.04 | 19% | 25 Jun → | |
| dust2 | 8–13 | 0.09 | 19% | 25 Jun → | |
| dust2 | 8–13 | 0.01 | 24% | 25 Jun → | |
| cache | 7–13 | 0.03 | 17% | 25 Jun → | |
| office | 11–13 | -0.03 | 24% | 24 Jun → | |
| dust2 | 13–8 | 0.02 | 17% | 24 Jun → | |
| office | 12–12 | -0.05 | 16% | 24 Jun → | |
| overpass | 3–13 | -0.08 | 8% | 23 Jun → | |
| office | 6–13 | -0.05 | 30% | 23 Jun → | |
| ancient | 13–6 | 0.04 | 20% | 21 Jun → | |
| inferno | 13–4 | -0.01 | 8% | 21 Jun → | |
| anubis | 10–13 | 0.00 | 11% | 21 Jun → | |
| office | 13–11 | 0.08 | 28% | 16 Jun → | |
| ancient | 13–5 | -0.06 | 29% | 16 Jun → | |
| dust2 | 3–13 | -0.04 | 35% | 16 Jun → | |
| office | 4–13 | -0.01 | 6% | 15 Jun → | |
| office | 13–6 | -0.04 | 10% | 15 Jun → | |
| office | 13–5 | -0.02 | 23% | 9 Jun → | |
| vertigo | 13–3 | 0.01 | 10% | 9 Jun → | |
| office | 12–12 | 0.01 | 13% | 8 Jun → | |
| overpass | 10–13 | -0.03 | 16% | 6 Jun → | |
| office | 13–8 | 0.01 | 23% | 6 Jun → | |
| inferno | 13–7 | -0.02 | 22% | 4 Jun → | |
| office | 4–13 | -0.02 | 16% | 4 Jun → | |
| alpine | 13–6 | 0.01 | 24% | 4 Jun → | |
| vertigo | 13–8 | 0.06 | 14% | 4 Jun → | |
| vertigo | 1–13 | -0.00 | 15% | 4 Jun → | |
| anubis | 13–16 | 0.01 | 19% | 3 Jun → | |
| vertigo | 13–11 | 0.00 | 16% | 3 Jun → | |
| cache | 13–7 | 0.02 | 18% | 3 Jun → | |
| cache | 13–5 | 0.08 | 25% | 30 May → | |
| cache | 6–13 | -0.02 | 24% | 30 May → | |
| office | 13–4 | 0.11 | 31% | 29 May → | |
| office | 13–11 | -0.03 | 11% | 29 May → | |
| cache | 13–7 | -0.06 | 20% | 29 May → | |
| ancient | 11–13 | -0.05 | 20% | 29 May → | |
| inferno | 9–13 | -0.02 | 23% | 26 May → | |
| office | 13–9 | 0.00 | 7% | 25 May → | |
| cache | 11–13 | -0.03 | 11% | 25 May → | |
| office | 13–6 | -0.02 | 40% | 19 May → | |
| office | 13–9 | -0.01 | 13% | 18 May → | |
| office | 13–5 | 0.05 | 20% | 18 May → | |
| office | 13–10 | -0.07 | 9% | 17 May → | |
| office | 13–7 | -0.04 | 11% | 14 May → | |
| office | 13–6 | -0.05 | 28% | 12 May → | |
| italy | 13–6 | 0.02 | 14% | 10 May → | |
| office | 8–13 | 0.01 | 9% | 8 May → | |
| office | 7–13 | 0.06 | 26% | 6 May → | |
| office | 13–5 | -0.01 | 27% | 6 May → | |
| office | 13–7 | 0.04 | 19% | 6 May → | |
| cache | 10–13 | -0.06 | 15% | 6 May → | |
| cache | 13–9 | 0.01 | 13% | 30 Apr → | |
| dust2 | 1–13 | -0.08 | 17% | 29 Apr → | |
| cache | 7–13 | 0.00 | 28% | 29 Apr → | |
| cache | 13–9 | 0.03 | 37% | 29 Apr → | |
| office | 13–7 | -0.00 | 20% | 28 Apr → | |
| italy | 13–7 | -0.08 | 17% | 28 Apr → | |
| italy | 4–13 | -0.04 | 20% | 28 Apr → | |
| office | 13–5 | 0.03 | 40% | 28 Apr → | |
| office | 3–13 | 0.01 | 15% | 27 Apr → | |
| overpass | 13–4 | 0.14 | 12% | 27 Apr → | |
| train | 13–10 | -0.02 | 29% | 27 Apr → | |
| stronghold | 12–12 | 0.00 | 17% | 23 Apr → |
Match data via Leetify.