MiratzZ — CS2 Stats
76561198131231183[U:1:170965455]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 54.3% | 52.0% |
| Shot accuracy | 15.8% | 13.7% |
| Kill/death ratio | 1.44 | 1.08 |
| Match win rate | 47.1% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 95% playstyle similarity
Most alike: opening-duel success, 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 88 — the mechanical foundation is a clear strength.
Flashes. 0.84 enemies blinded per flash — utility that consistently lands.
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 7.3/10 (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 |
|---|---|---|---|---|---|
| B | 29 | 14–15 | 48% | 0.01 | |
| B | 23 | 12–11 | 52% | 0.02 | |
| B | 15 | 7–8 | 47% | 0.02 | |
| B | 14 | 7–7 | 50% | 0.03 | |
| A | 8 | 5–3 | 63% | 0.00 | |
| S | 6 | 5–1 | 83% | 0.02 | |
| S | 5 | 4–1 | 80% | -0.00 |
Across the last 100 tracked matches.
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 |
|---|---|---|---|---|
| Ancient | 113 | 52% | 1.24 | 17.7 |
| Inferno | 92 | 52% | 1.34 | 18.4 |
| Dust2 | 70 | 49% | 1.12 | 16.2 |
| Anubis | 63 | 59% | 1.36 | 19.2 |
| Mirage | 47 | 64% | 1.29 | 17.5 |
| Nuke | 44 | 52% | 1.19 | 16.5 |
| Overpass | 37 | 41% | 1.40 | 19.9 |
| Train | 27 | 67% | 1.38 | 17.5 |
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
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 14.3115% — 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 38.8221% — 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.
47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 22–19 | -0.02 | 11% | 28 Aug → | ||
| 9–13 | -0.05 | 26% | 27 Aug → | ||
| 13–16 | 0.00 | 3% | 27 Aug → | ||
| 4–13 | -0.01 | 13% | 26 Aug → | ||
| 13–11 | -0.03 | 9% | 26 Aug → | ||
| 13–10 | 0.05 | 22% | 26 Aug → | ||
| 17–19 | 0.00 | 20% | 24 Aug → | ||
| 13–4 | 0.07 | 19% | 24 Aug → | ||
| 13–5 | 0.06 | 14% | 24 Aug → | ||
| 11–13 | 0.01 | 18% | 23 Aug → | ||
| 9–13 | 0.01 | 15% | 23 Aug → | ||
| 13–11 | 0.00 | 13% | 23 Aug → | ||
| 7–13 | -0.03 | 11% | 21 Aug → | ||
| 13–11 | -0.06 | 14% | 21 Aug → | ||
| 13–8 | 0.03 | 20% | 21 Aug → | ||
| 13–5 | 0.10 | 18% | 20 Aug → | ||
| 13–9 | -0.01 | 20% | 20 Aug → | ||
| 13–8 | -0.02 | 12% | 19 Aug → | ||
| 7–13 | -0.06 | 9% | 19 Aug → | ||
| 13–3 | 0.07 | 12% | 19 Aug → | ||
| 13–2 | -0.02 | 9% | 18 Aug → | ||
| 13–7 | 0.00 | 18% | 18 Aug → | ||
| 8–13 | 0.01 | 10% | 18 Aug → | ||
| 6–13 | -0.02 | 20% | 16 Aug → | ||
| 7–13 | -0.02 | 7% | 16 Aug → | ||
| 13–8 | 0.03 | 10% | 16 Aug → | ||
| 11–13 | -0.05 | 15% | 16 Aug → | ||
| 13–8 | 0.06 | 13% | 16 Aug → | ||
| 10–13 | -0.09 | 13% | 14 Aug → | ||
| 6–13 | -0.01 | 18% | 14 Aug → | ||
| 7–13 | -0.02 | 10% | 14 Aug → | ||
| 13–7 | 0.12 | 26% | 14 Aug → | ||
| 10–13 | 0.01 | 18% | 13 Aug → | ||
| 5–13 | 0.01 | 18% | 13 Aug → | ||
| 11–13 | 0.10 | 12% | 13 Aug → | ||
| 13–11 | 0.02 | 15% | 13 Aug → | ||
| 13–6 | 0.08 | 27% | 12 Aug → | ||
| 13–5 | 0.00 | 15% | 12 Aug → | ||
| 4–13 | -0.04 | 29% | 12 Aug → | ||
| 7–13 | 0.01 | 26% | 12 Aug → | ||
| 8–13 | -0.06 | 13% | 12 Aug → | ||
| 13–11 | 0.02 | 16% | 10 Aug → | ||
| 16–13 | 0.01 | 14% | 10 Aug → | ||
| 10–13 | -0.04 | 12% | 9 Aug → | ||
| 13–9 | 0.01 | 31% | 9 Aug → | ||
| 5–13 | 0.00 | 20% | 9 Aug → | ||
| 13–3 | 0.09 | 25% | 9 Aug → | ||
| 13–4 | 0.05 | 24% | 8 Aug → | ||
| 8–13 | -0.03 | 13% | 8 Aug → | ||
| 13–9 | 0.06 | 14% | 8 Aug → | ||
| 10–13 | -0.01 | 13% | 8 Aug → | ||
| 13–5 | 0.05 | 14% | 8 Aug → | ||
| 12–16 | 0.05 | 28% | 7 Aug → | ||
| 4–13 | 0.05 | 14% | 7 Aug → | ||
| 3–13 | -0.07 | 17% | 7 Aug → | ||
| 6–13 | -0.01 | 18% | 7 Aug → | ||
| 15–15 | -0.02 | 18% | 7 Aug → | ||
| 13–10 | 0.04 | 15% | 6 Aug → | ||
| 10–13 | 0.02 | 18% | 6 Aug → | ||
| 14–16 | 0.07 | 13% | 6 Aug → | ||
| 13–2 | -0.00 | 24% | 5 Aug → | ||
| 13–8 | -0.02 | 16% | 5 Aug → | ||
| 3–13 | -0.04 | 11% | 5 Aug → | ||
| 6–13 | 0.02 | 34% | 5 Aug → | ||
| 13–3 | -0.01 | 11% | 5 Aug → | ||
| 13–6 | 0.06 | 37% | 3 Aug → | ||
| 11–13 | 0.05 | 24% | 3 Aug → | ||
| 11–13 | 0.04 | 12% | 3 Aug → | ||
| 4–13 | -0.04 | 19% | 3 Aug → | ||
| 13–5 | -0.01 | 22% | 2 Aug → | ||
| 16–14 | 0.02 | 15% | 2 Aug → | ||
| 7–13 | -0.06 | 25% | 2 Aug → | ||
| 6–13 | 0.05 | 13% | 2 Aug → | ||
| 12–16 | -0.01 | 14% | 2 Aug → | ||
| 8–13 | -0.04 | 15% | 2 Aug → | ||
| 14–16 | 0.08 | 13% | 2 Aug → | ||
| 13–9 | -0.03 | 17% | 31 Jul → | ||
| 13–10 | -0.02 | 15% | 31 Jul → | ||
| 13–6 | 0.17 | 25% | 31 Jul → | ||
| 13–4 | -0.05 | 24% | 31 Jul → | ||
| 13–7 | -0.07 | 24% | 31 Jul → | ||
| 13–8 | 0.02 | 19% | 31 Jul → | ||
| 15–15 | 0.05 | 19% | 29 Jul → | ||
| 7–4 | -0.01 | 24% | 29 Jul → | ||
| 13–6 | 0.04 | 21% | 29 Jul → | ||
| 13–7 | 0.09 | 16% | 29 Jul → | ||
| 8–3 | 0.23 | 16% | 29 Jul → | ||
| 13–4 | 0.09 | 15% | 29 Jul → | ||
| 16–12 | -0.03 | 14% | 28 Jul → | ||
| 13–6 | -0.02 | 20% | 28 Jul → | ||
| 13–10 | -0.03 | 21% | 28 Jul → | ||
| 13–8 | 0.08 | 24% | 28 Jul → | ||
| 13–11 | 0.02 | 15% | 25 Jul → | ||
| 9–13 | -0.03 | 18% | 25 Jul → | ||
| 8–13 | 0.02 | 7% | 25 Jul → | ||
| 13–4 | 0.05 | 16% | 25 Jul → | ||
| 9–13 | -0.01 | 7% | 25 Jul → | ||
| 13–11 | 0.04 | 28% | 24 Jul → | ||
| 13–2 | 0.07 | 11% | 24 Jul → | ||
| 13–6 | 0.04 | 13% | 24 Jul → |
Match data via Leetify.
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