Der Gerät — CS2 Stats
76561198057609497[U:1:97343769]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | 53.3% | 52.8% |
| Shot accuracy | 7.8% | 13.7% |
| Kill/death ratio | 1.14 | 1.08 |
| Match win rate | 44.9% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 jL 97% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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 87 — the mechanical foundation is a clear strength.
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 7.6/10 (Strong), 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 | 40 | 23–17 | 57% | 0.02 | |
| A | 15 | 9–6 | 60% | 0.04 | |
| B | 11 | 5–6 | 45% | 0.01 | |
| A | 10 | 6–4 | 60% | 0.05 | |
| S | 9 | 6–3 | 67% | 0.03 | |
| D | 8 | 1–7 | 13% | -0.00 | |
| C | 7 | 3–4 | 43% | 0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (13% over 8). 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 260 | 57% | 1.23 | 16.9 |
| Inferno | 113 | 55% | 1.24 | 16.2 |
| Mirage | 78 | 54% | 1.13 | 15.2 |
| Ancient | 72 | 58% | 1.19 | 16.9 |
| Nuke | 58 | 41% | 1.06 | 15.6 |
| Cache | 44 | 45% | 1.15 | 15.6 |
| Anubis | 40 | 48% | 1.18 | 16.5 |
| Overpass | 19 | 58% | 1.33 | 19.8 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.03 | 37% | 27 Aug → | ||
| 7–13 | -0.03 | 31% | 27 Aug → | ||
| 4–13 | 0.00 | 30% | 27 Aug → | ||
| 13–9 | -0.01 | 28% | 27 Aug → | ||
| 4–13 | -0.05 | 29% | 27 Aug → | ||
| 6–13 | -0.04 | 30% | 27 Aug → | ||
| 13–8 | 0.18 | 22% | 27 Aug → | ||
| 4–13 | -0.04 | 39% | 27 Aug → | ||
| 13–4 | 0.05 | 19% | 27 Aug → | ||
| 13–5 | 0.02 | 43% | 27 Aug → | ||
| 13–3 | 0.12 | 50% | 27 Aug → | ||
| 10–13 | 0.10 | 38% | 27 Aug → | ||
| 11–13 | 0.07 | 29% | 27 Aug → | ||
| 9–13 | 0.01 | 39% | 27 Aug → | ||
| 13–6 | 0.11 | 46% | 27 Aug → | ||
| 13–7 | 0.01 | 31% | 27 Aug → | ||
| 13–9 | -0.03 | 12% | 27 Aug → | ||
| 15–15 | -0.02 | 28% | 27 Aug → | ||
| 13–16 | 0.01 | 23% | 27 Aug → | ||
| 13–11 | 0.02 | 23% | 26 Aug → | ||
| 19–15 | 0.01 | 17% | 26 Aug → | ||
| 16–14 | 0.02 | 25% | 25 Aug → | ||
| 13–9 | 0.05 | 21% | 25 Aug → | ||
| 13–6 | 0.02 | 13% | 25 Aug → | ||
| 13–1 | 0.04 | 35% | 25 Aug → | ||
| 7–13 | 0.02 | 24% | 25 Aug → | ||
| 9–13 | -0.02 | 20% | 25 Aug → | ||
| 13–5 | 0.12 | 23% | 25 Aug → | ||
| 15–15 | -0.00 | 11% | 25 Aug → | ||
| 13–1 | 0.11 | 23% | 24 Aug → | ||
| 13–8 | -0.01 | 27% | 22 Aug → | ||
| 16–13 | 0.07 | 26% | 22 Aug → | ||
| 13–7 | 0.05 | 21% | 21 Aug → | ||
| 2–13 | -0.04 | 18% | 21 Aug → | ||
| 4–13 | -0.01 | 23% | 21 Aug → | ||
| 13–3 | -0.03 | 31% | 21 Aug → | ||
| 13–8 | 0.02 | 16% | 21 Aug → | ||
| 13–9 | 0.01 | 31% | 21 Aug → | ||
| 13–5 | 0.11 | 10% | 21 Aug → | ||
| 8–13 | 0.02 | 14% | 21 Aug → | ||
| 14–16 | -0.00 | 15% | 20 Aug → | ||
| 13–9 | 0.02 | 34% | 20 Aug → | ||
| 13–6 | 0.06 | 26% | 20 Aug → | ||
| 6–13 | 0.02 | 29% | 20 Aug → | ||
| 8–13 | 0.02 | 16% | 16 Aug → | ||
| 9–13 | -0.02 | 16% | 16 Aug → | ||
| 13–1 | 0.17 | 22% | 16 Aug → | ||
| 8–13 | 0.01 | 17% | 16 Aug → | ||
| 13–9 | 0.07 | 20% | 16 Aug → | ||
| 11–13 | -0.02 | 18% | 16 Aug → | ||
| 10–13 | 0.05 | 31% | 16 Aug → | ||
| 13–10 | -0.02 | 19% | 16 Aug → | ||
| 13–8 | -0.03 | 20% | 16 Aug → | ||
| 6–13 | -0.03 | 22% | 16 Aug → | ||
| 8–13 | -0.00 | 29% | 15 Aug → | ||
| 13–11 | 0.04 | 24% | 15 Aug → | ||
| 11–13 | 0.07 | 16% | 15 Aug → | ||
| 14–16 | -0.01 | 16% | 15 Aug → | ||
| 8–13 | -0.01 | 26% | 15 Aug → | ||
| 13–5 | 0.18 | 15% | 15 Aug → | ||
| 7–13 | -0.01 | 24% | 15 Aug → | ||
| 13–10 | 0.01 | 20% | 15 Aug → | ||
| 13–5 | 0.09 | 12% | 15 Aug → | ||
| 15–15 | 0.02 | 22% | 15 Aug → | ||
| 11–13 | -0.00 | 15% | 14 Aug → | ||
| 13–6 | 0.07 | 13% | 14 Aug → | ||
| 13–7 | 0.10 | 29% | 14 Aug → | ||
| 7–13 | -0.06 | 14% | 14 Aug → | ||
| 13–3 | 0.08 | 16% | 14 Aug → | ||
| 13–11 | 0.09 | 17% | 14 Aug → | ||
| 14–16 | 0.09 | 27% | 14 Aug → | ||
| 8–13 | -0.02 | 21% | 14 Aug → | ||
| 9–13 | -0.02 | 30% | 14 Aug → | ||
| 7–13 | -0.04 | 14% | 9 Aug → | ||
| 13–11 | -0.00 | 15% | 9 Aug → | ||
| 14–16 | -0.04 | 20% | 9 Aug → | ||
| 2–13 | -0.08 | 45% | 8 Aug → | ||
| 6–13 | -0.02 | 7% | 7 Aug → | ||
| 13–11 | -0.04 | 17% | 7 Aug → | ||
| 13–7 | 0.04 | 22% | 7 Aug → | ||
| 8–13 | 0.01 | 25% | 7 Aug → | ||
| 22–20 | -0.04 | 29% | 7 Aug → | ||
| 13–6 | 0.03 | 17% | 6 Aug → | ||
| 6–13 | 0.05 | 29% | 6 Aug → | ||
| 13–4 | 0.02 | 16% | 6 Aug → | ||
| 13–5 | -0.04 | 22% | 6 Aug → | ||
| 14–16 | -0.01 | 14% | 5 Aug → | ||
| 13–2 | 0.13 | 17% | 5 Aug → | ||
| 13–9 | -0.01 | 17% | 4 Aug → | ||
| 13–5 | 0.06 | 20% | 4 Aug → | ||
| 9–13 | -0.03 | 24% | 4 Aug → | ||
| 13–5 | 0.12 | 26% | 4 Aug → | ||
| 13–8 | 0.09 | 35% | 3 Aug → | ||
| 13–11 | 0.04 | 25% | 3 Aug → | ||
| 13–3 | 0.01 | 27% | 3 Aug → | ||
| 3–13 | -0.03 | 42% | 2 Aug → | ||
| 6–13 | 0.03 | 16% | 2 Aug → | ||
| 13–5 | -0.01 | 19% | 2 Aug → | ||
| 10–13 | -0.03 | 27% | 2 Aug → | ||
| 7–13 | 0.02 | 26% | 1 Aug → |
Match data via Leetify.