Flach — CS2 Stats
EE76561198253175921[U:1:292910193]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 35.2% | 49.0% | 52.0% | 16.9% short |
| Shot accuracy | 19.4% | 13.1% | 13.7% | above |
| Kill/death ratio | 1.26 | 1.08 | 1.08 | above |
| Match win rate | 68.5% | 46.9% | 48.8% | above |
This profile matches the typical Level 10 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 10 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: +20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashesLimited utility dependence
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 ropz 90% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower aim profile; lower opening-duel success.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 43 | 19–24 | 44% | 0.00 | |
| D | 18 | 5–13 | 28% | 0.00 | |
| B | 13 | 7–6 | 54% | 0.03 | |
| A | 10 | 6–4 | 60% | 0.02 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| A | 5 | 3–2 | 60% | 0.00 | |
| — | 4 | 3–1 | 75% | 0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (28% over 18). 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 8 | 62% | 1.51 | 19.9 |
| Ancient | 5 | 60% | 1.13 | 16.4 |
| Anubis | 3 | 67% | 1.34 | 16.3 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–12 | -0.03 | 12% | 23 Aug → | ||
| 9–13 | 0.02 | 9% | 23 Aug → | ||
| 13–7 | -0.00 | 15% | 21 Aug → | ||
| 13–8 | -0.03 | 15% | 21 Aug → | ||
| 13–7 | -0.02 | 19% | 21 Aug → | ||
| 8–13 | 0.01 | 23% | 20 Aug → | ||
| 13–7 | 0.04 | 13% | 15 Aug → | ||
| 13–16 | 0.04 | 14% | 15 Aug → | ||
| 13–6 | 0.09 | 14% | 15 Aug → | ||
| 13–7 | 0.01 | 14% | 15 Aug → | ||
| 13–8 | 0.03 | 32% | 15 Aug → | ||
| 13–11 | 0.11 | 23% | 15 Aug → | ||
| 13–9 | 0.01 | 12% | 15 Aug → | ||
| 13–6 | -0.06 | 32% | 15 Aug → | ||
| 2–13 | -0.03 | 23% | 15 Aug → | ||
| 7–13 | 0.00 | 28% | 14 Aug → | ||
| 5–13 | -0.04 | 28% | 13 Aug → | ||
| 9–13 | -0.04 | 9% | 11 Aug → | ||
| 8–13 | -0.06 | 32% | 8 Aug → | ||
| 13–10 | 0.06 | 31% | 8 Aug → | ||
| 5–13 | -0.05 | 8% | 8 Aug → | ||
| 13–9 | 0.09 | 25% | 8 Aug → | ||
| 8–13 | 0.02 | 14% | 8 Aug → | ||
| 7–13 | -0.01 | 29% | 8 Aug → | ||
| 14–16 | 0.01 | 12% | 8 Aug → | ||
| 5–13 | 0.08 | 35% | 8 Aug → | ||
| 13–16 | 0.06 | 11% | 7 Aug → | ||
| 8–13 | 0.00 | 17% | 7 Aug → | ||
| 10–13 | -0.05 | 5% | 7 Aug → | ||
| 1–13 | -0.05 | 14% | 7 Aug → | ||
| 11–13 | 0.01 | 18% | 6 Aug → | ||
| 16–14 | 0.04 | 17% | 4 Aug → | ||
| 3–13 | -0.06 | 19% | 3 Aug → | ||
| 13–8 | 0.05 | 18% | 3 Aug → | ||
| 14–16 | 0.01 | 13% | 3 Aug → | ||
| 13–10 | 0.03 | 11% | 2 Aug → | ||
| 15–15 | 0.05 | 16% | 2 Aug → | ||
| 7–13 | 0.02 | 22% | 2 Aug → | ||
| 13–8 | 0.10 | 19% | 2 Aug → | ||
| 16–14 | 0.06 | 18% | 2 Aug → | ||
| 11–13 | -0.07 | 20% | 1 Aug → | ||
| 13–10 | 0.11 | 36% | 1 Aug → | ||
| 13–5 | 0.02 | 19% | 1 Aug → | ||
| 8–13 | -0.02 | 17% | 1 Aug → | ||
| 3–13 | -0.04 | 25% | 1 Aug → | ||
| 15–15 | 0.02 | 17% | 1 Aug → | ||
| 13–11 | 0.02 | 0% | 1 Aug → | ||
| 11–13 | -0.01 | 10% | 1 Aug → | ||
| 8–2 | 0.05 | 14% | 1 Aug → | ||
| 13–9 | 0.02 | 25% | 1 Aug → | ||
| 13–8 | 0.10 | 35% | 1 Aug → | ||
| 13–9 | 0.02 | 14% | 1 Aug → | ||
| 13–5 | 0.06 | 17% | 26 Jul → | ||
| 8–13 | -0.02 | 21% | 26 Jul → | ||
| 9–13 | 0.16 | 16% | 26 Jul → | ||
| 5–13 | -0.00 | 10% | 26 Jul → | ||
| 10–13 | -0.05 | 9% | 12 Jul → | ||
| 13–16 | 0.04 | 10% | 12 Jul → | ||
| 13–2 | 0.01 | 30% | 12 Jul → | ||
| 5–13 | -0.05 | 11% | 12 Jul → | ||
| 11–13 | -0.00 | 13% | 10 Jul → | ||
| 13–11 | 0.04 | 33% | 10 Jul → | ||
| 5–13 | -0.06 | 12% | 10 Jul → | ||
| 13–11 | 0.11 | 27% | 9 Jul → | ||
| 13–3 | 0.06 | 29% | 9 Jul → | ||
| 14–16 | -0.03 | 15% | 30 Jun → | ||
| 10–13 | 0.01 | 30% | 29 Jun → | ||
| 10–13 | -0.02 | 25% | 21 Jun → | ||
| 0–13 | -0.05 | 10% | 21 Jun → | ||
| 13–11 | -0.01 | 11% | 21 Jun → | ||
| 6–13 | 0.02 | 17% | 21 Jun → | ||
| 7–13 | -0.06 | 20% | 16 Jun → | ||
| 13–11 | 0.02 | 15% | 14 Jun → | ||
| 4–13 | -0.01 | 10% | 13 Jun → | ||
| 13–10 | 0.05 | 18% | 13 Jun → | ||
| 13–11 | 0.05 | 14% | 13 Jun → | ||
| 13–5 | 0.07 | 13% | 12 Jun → | ||
| 13–10 | 0.01 | 23% | 7 Jun → | ||
| 8–13 | 0.04 | 25% | 7 Jun → | ||
| 14–16 | -0.00 | 20% | 6 Jun → | ||
| 3–13 | -0.03 | 21% | 4 Jun → | ||
| 0–13 | -0.09 | 9% | 4 Jun → | ||
| 13–7 | -0.01 | 16% | 4 Jun → | ||
| 13–10 | 0.04 | 24% | 4 Jun → | ||
| 6–13 | 0.06 | 19% | 2 Jun → | ||
| 13–10 | -0.03 | 9% | 29 May → | ||
| 1–13 | -0.08 | 15% | 29 May → | ||
| 2–13 | -0.09 | 15% | 23 May → | ||
| 9–13 | 0.01 | 13% | 23 May → | ||
| 13–11 | -0.04 | 42% | 23 May → | ||
| 13–7 | 0.03 | 36% | 20 May → | ||
| 8–13 | -0.06 | 13% | 18 May → | ||
| 13–8 | 0.01 | 21% | 17 May → | ||
| 13–9 | 0.01 | 21% | 17 May → | ||
| 8–13 | 0.01 | 9% | 17 May → | ||
| 13–16 | 0.03 | 13% | 16 May → | ||
| 6–13 | -0.02 | 11% | 13 May → | ||
| 16–14 | 0.00 | 13% | 13 May → | ||
| 13–5 | -0.01 | 12% | 13 May → | ||
| 13–7 | 0.04 | 18% | 12 May → |
Match data via Leetify.