Matze1104 — CS2 Stats
DE76561198225923704[U:1:265657976]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 42.3% | 44.1% | 47.2% | 5.0% short |
| Shot accuracy | 2.9% | 11.4% | 12.7% | 9.8% short |
| Kill/death ratio | 0.98 | 1.03 | 1.09 | 0.11 short |
| Match win rate | 42.9% | 45.2% | 46.6% | 3.7% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band 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: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 93% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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 →
CSDB Rating breakdown
Composite 6.6/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 27 | 13–14 | 48% | -0.00 | |
| B | 15 | 8–7 | 53% | 0.01 | |
| S | 13 | 11–2 | 85% | 0.02 | |
| A | 11 | 6–5 | 55% | -0.01 | |
| A | 10 | 6–4 | 60% | 0.00 | |
| D | 9 | 3–6 | 33% | 0.00 | |
| C | 9 | 4–5 | 44% | -0.02 | |
| shelter | — | 2 | 1–1 | 50% | -0.06 |
| — | 1 | 1–0 | 100% | 0.04 | |
| — | 1 | 0–1 | 0% | -0.07 | |
| fachwerk | — | 1 | 1–0 | 100% | 0.01 |
| boulder | — | 1 | 1–0 | 100% | -0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Mirage 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 20 | 45% | 0.89 | 13.0 |
| Mirage | 9 | 44% | 0.88 | 14.2 |
| Nuke | 8 | 62% | 0.91 | 12.8 |
| Inferno | 7 | 57% | 2.23 | 11.0 |
| Anubis | 6 | 33% | 1.04 | 14.8 |
| Ancient | 5 | 40% | 1.15 | 9.8 |
| Vertigo | 3 | 67% | 1.17 | 16.7 |
| Cache | 2 | 50% | 0.71 | 13.5 |
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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.03 | 23% | 26 Aug → | ||
| 13–10 | -0.04 | 14% | 26 Aug → | ||
| 13–8 | -0.01 | 26% | 23 Aug → | ||
| 13–6 | -0.02 | 17% | 23 Aug → | ||
| 16–14 | 0.01 | 15% | 23 Aug → | ||
| 4–13 | 0.00 | 22% | 23 Aug → | ||
| 4–13 | -0.04 | 32% | 23 Aug → | ||
| shelter | 4–13 | -0.07 | 8% | 22 Aug → | |
| 8–13 | 0.01 | 15% | 22 Aug → | ||
| 13–8 | -0.01 | 13% | 22 Aug → | ||
| 8–13 | -0.01 | 23% | 22 Aug → | ||
| 1–13 | 0.01 | 36% | 22 Aug → | ||
| 13–7 | 0.02 | 20% | 22 Aug → | ||
| 15–15 | 0.07 | 29% | 19 Aug → | ||
| 13–10 | -0.04 | 23% | 18 Aug → | ||
| 7–13 | -0.05 | 32% | 18 Aug → | ||
| 8–13 | -0.01 | 26% | 18 Aug → | ||
| 13–6 | 0.01 | 12% | 17 Aug → | ||
| 13–6 | -0.05 | 26% | 17 Aug → | ||
| 13–9 | -0.03 | 26% | 17 Aug → | ||
| 13–9 | 0.03 | 20% | 13 Aug → | ||
| 13–7 | 0.04 | 18% | 13 Aug → | ||
| 13–6 | 0.04 | 22% | 13 Aug → | ||
| 6–13 | 0.01 | 23% | 13 Aug → | ||
| 13–11 | 0.04 | 20% | 10 Aug → | ||
| 10–13 | 0.01 | 24% | 9 Aug → | ||
| 13–10 | -0.01 | 16% | 9 Aug → | ||
| 13–8 | -0.05 | 16% | 7 Aug → | ||
| 9–13 | 0.03 | 13% | 6 Aug → | ||
| 13–6 | 0.04 | 22% | 6 Aug → | ||
| 6–13 | -0.07 | 8% | 6 Aug → | ||
| shelter | 13–11 | -0.05 | 13% | 5 Aug → | |
| fachwerk | 10–3 | 0.01 | 22% | 5 Aug → | |
| boulder | 13–10 | -0.06 | 15% | 5 Aug → | |
| 13–7 | 0.03 | 14% | 5 Aug → | ||
| 11–13 | 0.01 | 20% | 5 Aug → | ||
| 13–5 | 0.02 | 21% | 5 Aug → | ||
| 13–6 | 0.05 | 26% | 5 Aug → | ||
| 11–13 | 0.04 | 13% | 5 Aug → | ||
| 13–5 | 0.03 | 22% | 5 Aug → | ||
| 5–13 | -0.08 | 24% | 5 Aug → | ||
| 13–3 | 0.05 | 23% | 4 Aug → | ||
| 13–10 | 0.01 | 13% | 4 Aug → | ||
| 13–6 | 0.01 | 10% | 4 Aug → | ||
| 8–13 | -0.02 | 21% | 4 Aug → | ||
| 13–10 | -0.04 | 15% | 4 Aug → | ||
| 13–6 | 0.07 | 29% | 4 Aug → | ||
| 13–10 | 0.02 | 19% | 3 Aug → | ||
| 12–16 | 0.04 | 16% | 3 Aug → | ||
| 13–9 | 0.00 | 25% | 3 Aug → | ||
| 13–2 | 0.03 | 10% | 3 Aug → | ||
| 13–4 | 0.00 | 12% | 3 Aug → | ||
| 6–13 | -0.02 | 21% | 1 Aug → | ||
| 7–13 | -0.05 | 24% | 1 Aug → | ||
| 13–5 | -0.06 | 19% | 1 Aug → | ||
| 9–13 | -0.01 | 15% | 1 Aug → | ||
| 6–13 | -0.04 | 19% | 1 Aug → | ||
| 13–1 | 0.12 | 19% | 1 Aug → | ||
| 13–6 | 0.00 | 12% | 31 Jul → | ||
| 6–13 | -0.04 | 13% | 31 Jul → | ||
| 8–13 | -0.02 | 18% | 31 Jul → | ||
| 11–13 | 0.02 | 16% | 31 Jul → | ||
| 13–8 | 0.00 | 20% | 30 Jul → | ||
| 13–11 | -0.03 | 10% | 30 Jul → | ||
| 11–13 | -0.06 | 23% | 30 Jul → | ||
| 13–11 | -0.05 | 15% | 30 Jul → | ||
| 0–13 | -0.06 | 41% | 30 Jul → | ||
| 13–10 | -0.01 | 13% | 30 Jul → | ||
| 13–10 | 0.04 | 29% | 29 Jul → | ||
| 13–2 | 0.07 | 12% | 29 Jul → | ||
| 10–13 | -0.00 | 25% | 29 Jul → | ||
| 11–13 | 0.09 | 20% | 29 Jul → | ||
| 13–4 | 0.11 | 23% | 29 Jul → | ||
| 15–15 | -0.02 | 22% | 28 Jul → | ||
| 13–4 | 0.00 | 23% | 27 Jul → | ||
| 13–10 | 0.02 | 20% | 27 Jul → | ||
| 13–7 | -0.03 | 13% | 26 Jul → | ||
| 9–13 | -0.02 | 17% | 26 Jul → | ||
| 13–9 | -0.04 | 18% | 25 Jul → | ||
| 13–11 | -0.05 | 23% | 25 Jul → | ||
| 10–13 | -0.03 | 21% | 25 Jul → | ||
| 8–8 | -0.01 | 33% | 21 Jul → | ||
| 7–9 | -0.01 | 19% | 21 Jul → | ||
| 9–13 | 0.03 | 15% | 21 Jul → | ||
| 2–13 | -0.06 | 22% | 21 Jul → | ||
| 16–12 | -0.01 | 14% | 20 Jul → | ||
| 13–16 | -0.04 | 26% | 19 Jul → | ||
| 13–11 | -0.03 | 15% | 19 Jul → | ||
| 13–10 | 0.04 | 23% | 15 Jul → | ||
| 3–13 | -0.04 | 21% | 15 Jul → | ||
| 13–8 | 0.00 | 21% | 15 Jul → | ||
| 13–10 | 0.04 | 27% | 14 Jul → | ||
| 3–13 | 0.01 | 13% | 14 Jul → | ||
| 13–9 | 0.06 | 10% | 11 Jul → | ||
| 8–13 | -0.04 | 18% | 11 Jul → | ||
| 11–13 | 0.02 | 18% | 9 Jul → | ||
| 13–8 | 0.06 | 12% | 9 Jul → | ||
| 9–13 | -0.02 | 13% | 8 Jul → | ||
| 4–13 | -0.00 | 3% | 7 Jul → | ||
| 11–13 | 0.02 | 14% | 6 Jul → |
Match data via Leetify.