MisterGroßbuchstaben — CS2 Stats
76561198209046005[U:1:248780277]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 · -0.01 avg rating
Player DNA
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 77% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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
T-side openings. Opening success drops from 36% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 645ms 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 4.1/10 (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 |
|---|---|---|---|---|---|
| C | 27 | 12–15 | 44% | -0.03 | |
| A | 16 | 9–7 | 56% | -0.04 | |
| B | 15 | 8–7 | 53% | -0.01 | |
| D | 8 | 2–6 | 25% | -0.02 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| C | 7 | 3–4 | 43% | -0.05 | |
| D | 6 | 2–4 | 33% | -0.05 | |
| B | 6 | 3–3 | 50% | -0.03 | |
| — | 3 | 3–0 | 100% | 0.06 | |
| alpine | — | 1 | 0–1 | 0% | -0.03 |
| — | 1 | 1–0 | 100% | 0.01 | |
| warden | — | 1 | 0–1 | 0% | 0.00 |
| poseidon | — | 1 | 0–1 | 0% | -0.12 |
| sanctum | — | 1 | 0–1 | 0% | -0.13 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 7 | 57% | 1.10 | 12.9 |
| Inferno | 5 | 80% | 0.98 | 18.0 |
| Mirage | 5 | 80% | 1.71 | 17.8 |
| Ancient | 3 | 67% | 2.11 | 20.3 |
| Nuke | 3 | 33% | 1.49 | 15.3 |
| Overpass | 3 | 100% | 0.67 | 11.3 |
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 13.7099% — below the 15% 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 18.019% — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–13 | 0.00 | 25% | 25 May → | ||
| 13–9 | -0.03 | 20% | 25 May → | ||
| 14–16 | -0.07 | 6% | 24 May → | ||
| 9–13 | -0.04 | 24% | 24 May → | ||
| 4–13 | -0.10 | 23% | 23 May → | ||
| 7–13 | -0.08 | 14% | 23 May → | ||
| 10–13 | -0.00 | 15% | 23 May → | ||
| 10–13 | 0.00 | 13% | 22 May → | ||
| 1–13 | -0.08 | 11% | 22 May → | ||
| 5–13 | -0.02 | 12% | 22 May → | ||
| 13–8 | 0.00 | 15% | 22 May → | ||
| 13–9 | -0.02 | 3% | 22 May → | ||
| 10–13 | -0.08 | 6% | 22 May → | ||
| 16–13 | -0.05 | 18% | 22 May → | ||
| 8–13 | -0.06 | 11% | 22 May → | ||
| 13–6 | 0.02 | 15% | 22 May → | ||
| 2–13 | -0.14 | 9% | 22 May → | ||
| 4–13 | -0.09 | 6% | 22 May → | ||
| 13–11 | 0.06 | 10% | 16 May → | ||
| 13–9 | 0.00 | 17% | 14 May → | ||
| 2–13 | -0.06 | 13% | 13 May → | ||
| 5–13 | -0.03 | 19% | 13 May → | ||
| 13–10 | -0.06 | 6% | 12 May → | ||
| 13–11 | -0.09 | 15% | 11 May → | ||
| 13–8 | -0.03 | 17% | 9 May → | ||
| 9–13 | -0.06 | 21% | 8 May → | ||
| 13–6 | -0.04 | 18% | 8 May → | ||
| 13–8 | -0.07 | 6% | 8 May → | ||
| 13–5 | 0.03 | 17% | 3 May → | ||
| 7–13 | -0.06 | 17% | 3 May → | ||
| 13–11 | -0.06 | 16% | 2 May → | ||
| 10–13 | -0.02 | 8% | 2 May → | ||
| 13–8 | 0.01 | 13% | 28 Apr → | ||
| alpine | 4–13 | -0.03 | 10% | 28 Apr → | |
| 15–15 | -0.04 | 12% | 28 Apr → | ||
| 14–16 | -0.02 | 11% | 28 Apr → | ||
| 7–13 | -0.04 | 7% | 26 Apr → | ||
| 13–6 | -0.04 | 9% | 26 Apr → | ||
| 7–13 | 0.01 | 13% | 26 Apr → | ||
| 16–14 | -0.03 | 9% | 26 Apr → | ||
| 9–13 | -0.02 | 23% | 24 Apr → | ||
| 13–9 | 0.02 | 17% | 24 Apr → | ||
| 13–7 | -0.02 | 14% | 24 Apr → | ||
| 13–9 | 0.01 | 13% | 23 Apr → | ||
| warden | 10–13 | 0.00 | 13% | 23 Apr → | |
| 4–13 | -0.07 | 13% | 23 Apr → | ||
| 13–5 | -0.01 | 15% | 23 Apr → | ||
| 16–14 | -0.05 | 16% | 22 Apr → | ||
| 13–11 | -0.04 | 12% | 22 Apr → | ||
| 13–9 | -0.06 | 10% | 22 Apr → | ||
| 5–13 | -0.06 | 10% | 22 Apr → | ||
| 13–7 | 0.04 | 23% | 21 Apr → | ||
| poseidon | 4–9 | -0.12 | 5% | 21 Apr → | |
| 8–13 | -0.03 | 21% | 21 Apr → | ||
| 11–13 | -0.05 | 9% | 21 Apr → | ||
| 13–11 | -0.00 | 17% | 21 Apr → | ||
| 13–5 | -0.01 | 8% | 21 Apr → | ||
| 13–9 | 0.02 | 11% | 20 Apr → | ||
| 8–13 | -0.01 | 24% | 20 Apr → | ||
| 13–8 | -0.01 | 17% | 19 Apr → | ||
| sanctum | 4–9 | -0.13 | 5% | 19 Apr → | |
| 9–1 | 0.18 | 16% | 19 Apr → | ||
| 16–12 | -0.05 | 19% | 18 Apr → | ||
| 13–10 | -0.03 | 28% | 18 Apr → | ||
| 8–13 | -0.06 | 21% | 18 Apr → | ||
| 13–11 | -0.09 | 7% | 17 Apr → | ||
| 15–15 | 0.00 | 22% | 17 Apr → | ||
| 11–13 | 0.04 | 18% | 16 Apr → | ||
| 13–5 | 0.05 | 19% | 16 Apr → | ||
| 7–13 | 0.00 | 19% | 16 Apr → | ||
| 13–11 | -0.06 | 12% | 13 Apr → | ||
| 9–13 | -0.09 | 9% | 13 Apr → | ||
| 13–7 | -0.01 | 11% | 12 Apr → | ||
| 13–1 | 0.05 | 22% | 12 Apr → | ||
| 13–11 | -0.03 | 8% | 12 Apr → | ||
| 13–4 | -0.06 | 21% | 11 Apr → | ||
| 3–13 | -0.07 | 19% | 11 Apr → | ||
| 13–1 | 0.04 | 26% | 11 Apr → | ||
| 13–11 | -0.03 | 12% | 11 Apr → | ||
| 1–13 | -0.09 | 0% | 10 Apr → | ||
| 13–11 | 0.04 | 23% | 10 Apr → | ||
| 11–13 | -0.04 | 13% | 10 Apr → | ||
| 13–11 | 0.02 | 15% | 6 Apr → | ||
| 9–13 | -0.06 | 17% | 6 Apr → | ||
| 13–1 | 0.09 | 8% | 6 Apr → | ||
| 5–13 | -0.05 | 24% | 6 Apr → | ||
| 5–13 | -0.09 | 29% | 6 Apr → | ||
| 11–13 | -0.02 | 20% | 5 Apr → | ||
| 6–13 | -0.04 | 23% | 5 Apr → | ||
| 8–13 | -0.03 | 19% | 5 Apr → | ||
| 1–13 | -0.06 | 11% | 5 Apr → | ||
| 13–9 | 0.01 | 18% | 5 Apr → | ||
| 13–9 | -0.02 | 13% | 5 Apr → | ||
| 10–13 | -0.01 | 17% | 5 Apr → | ||
| 7–13 | -0.12 | 11% | 4 Apr → | ||
| 13–5 | 0.05 | 7% | 4 Apr → | ||
| 11–13 | -0.01 | 16% | 3 Apr → | ||
| 9–13 | -0.01 | 8% | 3 Apr → | ||
| 11–13 | -0.01 | 11% | 3 Apr → | ||
| 9–13 | 0.05 | 14% | 3 Apr → |
Match data via Leetify.
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