Miedziany223 — CS2 Stats
PL76561199101993729[U:1:1141728001]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 50.7% | 47.0% | 48.5% | above |
| Shot accuracy | 7.1% | 12.7% | 13.3% | 6.2% short |
| Kill/death ratio | 1.24 | 1.07 | 1.07 | above |
| Match win rate | 49.1% | 46.4% | 47.0% | above |
This profile matches the typical Level 9 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 9 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.
Sharp aimerEffective 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 93% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning 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
Strengths
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 46 points — deaths here waste a strong aim profile.
Reaction time. 565ms 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 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 36 | 20–16 | 56% | 0.02 | |
| S | 22 | 15–7 | 68% | 0.04 | |
| B | 12 | 6–6 | 50% | 0.01 | |
| A | 12 | 7–5 | 58% | 0.05 | |
| B | 10 | 5–5 | 50% | 0.03 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 1 | 0–1 | 0% | 0.03 | |
| poseidon | — | 1 | 1–0 | 100% | 0.20 |
| — | 1 | 1–0 | 100% | -0.02 | |
| office | — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (50% over 12). 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 |
|---|---|---|---|---|
| Mirage | 146 | 49% | 1.54 | 18.7 |
| Nuke | 92 | 49% | 1.54 | 21.3 |
| Ancient | 77 | 56% | 1.46 | 20.7 |
| Inferno | 77 | 32% | 1.38 | 20.2 |
| Dust2 | 51 | 51% | 1.27 | 17.4 |
| Anubis | 39 | 56% | 1.34 | 18.4 |
| Overpass | 23 | 57% | 1.46 | 21.2 |
| Train | 7 | 71% | 1.72 | 24.1 |
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 37.9629% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–1 | 0.09 | 28% | 22 Jul → | ||
| 13–1 | 0.08 | 46% | 22 Jul → | ||
| 7–13 | -0.01 | 17% | 21 Jul → | ||
| 13–1 | 0.12 | 24% | 21 Jul → | ||
| 5–13 | -0.04 | 13% | 6 Jul → | ||
| 3–0 | 0.02 | 100% | 2 Jun → | ||
| 6–13 | 0.08 | 24% | 2 Jun → | ||
| 2–13 | -0.05 | 29% | 2 Jun → | ||
| 13–6 | 0.09 | 36% | 2 Jun → | ||
| 5–13 | 0.03 | 20% | 2 Jun → | ||
| 7–13 | -0.05 | 18% | 22 Apr → | ||
| 13–9 | 0.10 | 32% | 25 Mar → | ||
| 11–13 | 0.04 | 26% | 25 Mar → | ||
| 12–12 | 0.01 | 24% | 25 Mar → | ||
| 0–5 | -0.02 | 33% | 25 Mar → | ||
| 13–11 | 0.04 | 31% | 24 Mar → | ||
| 13–6 | 0.10 | 30% | 19 Mar → | ||
| 13–7 | 0.15 | 20% | 19 Mar → | ||
| 9–13 | -0.03 | 28% | 19 Mar → | ||
| 12–12 | 0.02 | 25% | 19 Mar → | ||
| 11–13 | -0.07 | 19% | 17 Mar → | ||
| 13–5 | 0.08 | 21% | 17 Mar → | ||
| 13–5 | 0.01 | 26% | 17 Mar → | ||
| 13–3 | 0.06 | 19% | 10 Mar → | ||
| 4–13 | -0.04 | 21% | 10 Mar → | ||
| 12–12 | 0.02 | 30% | 10 Mar → | ||
| 6–13 | 0.05 | 27% | 2 Mar → | ||
| 9–4 | 0.17 | 38% | 28 Feb → | ||
| poseidon | 9–2 | 0.20 | 15% | 28 Feb → | |
| 10–13 | 0.03 | 14% | 25 Feb → | ||
| 5–13 | 0.06 | 21% | 25 Feb → | ||
| 13–10 | -0.00 | 24% | 25 Feb → | ||
| 6–13 | 0.02 | 21% | 25 Feb → | ||
| 10–13 | -0.01 | 15% | 19 Feb → | ||
| 13–5 | 0.07 | 38% | 18 Feb → | ||
| 9–13 | 0.01 | 29% | 17 Feb → | ||
| 13–1 | 0.03 | 32% | 17 Feb → | ||
| 12–12 | 0.09 | 16% | 17 Feb → | ||
| 12–12 | -0.00 | 25% | 17 Feb → | ||
| 13–10 | 0.08 | 20% | 17 Feb → | ||
| 13–7 | 0.04 | 17% | 17 Feb → | ||
| 13–7 | 0.04 | 25% | 17 Feb → | ||
| 13–11 | 0.02 | 15% | 16 Feb → | ||
| 13–10 | 0.05 | 34% | 15 Feb → | ||
| 13–7 | 0.05 | 24% | 15 Feb → | ||
| 3–13 | -0.05 | 18% | 15 Feb → | ||
| 13–9 | -0.01 | 26% | 15 Feb → | ||
| 8–1 | 0.01 | 46% | 15 Feb → | ||
| 10–13 | 0.10 | 21% | 14 Feb → | ||
| 12–12 | 0.06 | 35% | 13 Feb → | ||
| 10–13 | 0.04 | 27% | 10 Feb → | ||
| 13–8 | 0.03 | 24% | 8 Feb → | ||
| 13–6 | 0.05 | 26% | 6 Feb → | ||
| 13–7 | 0.06 | 22% | 5 Feb → | ||
| 13–11 | 0.06 | 19% | 5 Feb → | ||
| 9–13 | -0.02 | 28% | 5 Feb → | ||
| 8–13 | -0.05 | 28% | 5 Feb → | ||
| 13–5 | 0.01 | 23% | 5 Feb → | ||
| 13–6 | 0.01 | 24% | 5 Feb → | ||
| 9–1 | -0.00 | 25% | 5 Feb → | ||
| 13–11 | 0.05 | 22% | 3 Feb → | ||
| 10–13 | 0.12 | 22% | 2 Feb → | ||
| 10–13 | 0.01 | 38% | 2 Feb → | ||
| 13–6 | 0.03 | 18% | 29 Jan → | ||
| 13–3 | 0.09 | 16% | 29 Jan → | ||
| 13–9 | -0.02 | 16% | 27 Jan → | ||
| 13–9 | 0.05 | 22% | 27 Jan → | ||
| 12–12 | 0.00 | 13% | 25 Jan → | ||
| 12–12 | 0.00 | 33% | 25 Jan → | ||
| 13–8 | -0.01 | 33% | 25 Jan → | ||
| 6–13 | -0.04 | 28% | 25 Jan → | ||
| 13–4 | 0.11 | 30% | 25 Jan → | ||
| 7–13 | -0.03 | 19% | 25 Jan → | ||
| 13–10 | 0.04 | 29% | 25 Jan → | ||
| 13–6 | 0.01 | 21% | 22 Jan → | ||
| 13–10 | -0.01 | 25% | 22 Jan → | ||
| 13–11 | -0.04 | 16% | 22 Jan → | ||
| 13–8 | 0.08 | 22% | 21 Jan → | ||
| 13–3 | 0.10 | 24% | 18 Jan → | ||
| 13–6 | 0.11 | 30% | 18 Jan → | ||
| 13–11 | 0.05 | 24% | 18 Jan → | ||
| 13–5 | 0.08 | 27% | 17 Jan → | ||
| 13–3 | 0.20 | 33% | 17 Jan → | ||
| 11–13 | -0.06 | 19% | 16 Jan → | ||
| 0–8 | -0.09 | 5% | 16 Jan → | ||
| 11–13 | 0.06 | 24% | 14 Jan → | ||
| 13–7 | 0.06 | 25% | 14 Jan → | ||
| 13–9 | 0.05 | 22% | 14 Jan → | ||
| 8–13 | -0.02 | 16% | 12 Jan → | ||
| 13–5 | -0.02 | 24% | 8 Jan → | ||
| 1–13 | -0.01 | 11% | 8 Jan → | ||
| 4–13 | -0.07 | 5% | 8 Jan → | ||
| office | 4–13 | -0.08 | 22% | 7 Jan → | |
| 3–13 | -0.07 | 7% | 7 Jan → | ||
| 6–1 | 0.02 | 25% | 7 Jan → | ||
| 13–5 | 0.01 | 21% | 6 Jan → | ||
| 13–6 | -0.00 | 26% | 6 Jan → | ||
| 3–13 | -0.08 | 31% | 6 Jan → | ||
| 13–2 | 0.00 | 17% | 6 Jan → | ||
| 13–3 | 0.10 | 23% | 30 Dec → |
Match data via Leetify.