mizerrr.png — CS2 Stats
76561199036146418[U:1:1075880690]
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=2,468), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 48.6% | 41.4% | 44.2% | above |
| Shot accuracy | 12.9% | 9.0% | 11.6% | above |
| Kill/death ratio | 0.96 | 0.97 | 1.03 | 0.07 short |
| Match win rate | 31.1% | 43.7% | 45.2% | 14.2% short |
This profile matches the typical Purple band player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Purple 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: -20pp win rate · -0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 donk 89% playstyle similarity
Most alike: utility contribution, opening-duel success.
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 →
Strengths & areas to improve
Areas to improve
Reaction time. 641ms 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 |
|---|---|---|---|---|---|
| B | 31 | 16–15 | 52% | 0.06 | |
| A | 17 | 10–7 | 59% | 0.06 | |
| C | 16 | 6–10 | 38% | 0.03 | |
| D | 15 | 5–10 | 33% | 0.04 | |
| D | 8 | 2–6 | 25% | -0.00 | |
| — | 3 | 1–2 | 33% | 0.08 | |
| — | 3 | 2–1 | 67% | 0.07 | |
| — | 3 | 1–2 | 33% | 0.03 | |
| italy | — | 2 | 2–0 | 100% | 0.11 |
| — | 1 | 1–0 | 100% | 0.21 | |
| office | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (25% over 8). 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 | 3 | 33% | 0.76 | 13.3 |
| Mirage | 2 | 0% | 1.19 | 19.0 |
| Overpass | 1 | 0% | 1.50 | 24.0 |
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.
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 | |
|---|---|---|---|---|---|
| 13–2 | 0.23 | 17% | 9 Aug → | ||
| 12–12 | 0.10 | 25% | 9 Aug → | ||
| 13–7 | 0.08 | 15% | 8 Aug → | ||
| 13–1 | 0.13 | 15% | 8 Aug → | ||
| 1–13 | 0.02 | 23% | 7 Aug → | ||
| 10–13 | 0.07 | 14% | 7 Aug → | ||
| 13–7 | 0.05 | 25% | 7 Aug → | ||
| 6–13 | 0.02 | 15% | 2 Aug → | ||
| 12–12 | 0.02 | 11% | 1 Aug → | ||
| 5–13 | 0.03 | 21% | 1 Aug → | ||
| italy | 13–4 | 0.15 | 22% | 1 Aug → | |
| 5–13 | -0.02 | 19% | 1 Aug → | ||
| 13–9 | 0.14 | 17% | 31 Jul → | ||
| 1–13 | 0.04 | 22% | 31 Jul → | ||
| 13–3 | 0.21 | 22% | 31 Jul → | ||
| 13–3 | 0.16 | 17% | 31 Jul → | ||
| 3–13 | 0.04 | 22% | 31 Jul → | ||
| italy | 13–6 | 0.08 | 23% | 31 Jul → | |
| 13–3 | 0.18 | 20% | 30 Jul → | ||
| 11–13 | 0.13 | 22% | 30 Jul → | ||
| 13–9 | 0.07 | 22% | 30 Jul → | ||
| 12–12 | 0.03 | 22% | 30 Jul → | ||
| 6–13 | -0.04 | 22% | 30 Jul → | ||
| 4–13 | 0.02 | 22% | 26 Jul → | ||
| 11–2 | 0.11 | 20% | 26 Jul → | ||
| 4–13 | 0.02 | 13% | 26 Jul → | ||
| 9–7 | 0.04 | 19% | 25 Jul → | ||
| 9–3 | 0.13 | 15% | 25 Jul → | ||
| 13–5 | 0.16 | 22% | 25 Jul → | ||
| 10–13 | 0.02 | 18% | 25 Jul → | ||
| 12–12 | 0.10 | 20% | 25 Jul → | ||
| 13–9 | 0.14 | 16% | 22 Jul → | ||
| office | 12–12 | -0.01 | 32% | 21 Jul → | |
| 13–4 | 0.06 | 19% | 21 Jul → | ||
| 2–13 | -0.00 | 33% | 21 Jul → | ||
| 13–8 | 0.17 | 25% | 20 Jul → | ||
| 13–6 | 0.11 | 21% | 20 Jul → | ||
| 13–3 | 0.20 | 35% | 20 Jul → | ||
| 5–13 | -0.01 | 23% | 20 Jul → | ||
| 14–16 | 0.12 | 18% | 6 Jul → | ||
| 13–8 | 0.05 | 19% | 5 Jul → | ||
| 14–16 | 0.06 | 18% | 27 Jun → | ||
| 13–2 | -0.06 | 5% | 27 Jun → | ||
| 8–13 | 0.09 | 19% | 27 Jun → | ||
| 13–3 | 0.10 | 26% | 27 Jun → | ||
| 13–6 | 0.03 | 23% | 27 Jun → | ||
| 13–9 | 0.03 | 13% | 21 Jun → | ||
| 10–13 | 0.07 | 29% | 21 Jun → | ||
| 13–6 | 0.06 | 28% | 20 Jun → | ||
| 13–9 | -0.05 | 23% | 20 Jun → | ||
| 2–13 | -0.06 | 33% | 20 Jun → | ||
| 13–11 | 0.05 | 25% | 20 Jun → | ||
| 13–9 | -0.04 | 33% | 19 Jun → | ||
| 11–13 | 0.05 | 30% | 19 Jun → | ||
| 13–16 | -0.01 | 29% | 19 Jun → | ||
| 11–13 | 0.10 | 17% | 14 Jun → | ||
| 13–9 | 0.05 | 26% | 9 Jun → | ||
| 10–13 | 0.02 | 24% | 9 Jun → | ||
| 6–13 | 0.02 | 22% | 2 Jun → | ||
| 8–13 | 0.15 | 24% | 26 May → | ||
| 4–13 | -0.02 | 13% | 26 May → | ||
| 13–2 | 0.17 | 23% | 26 May → | ||
| 13–1 | 0.10 | 30% | 26 May → | ||
| 7–13 | 0.02 | 21% | 25 May → | ||
| 8–13 | 0.11 | 20% | 25 May → | ||
| 11–13 | 0.12 | 27% | 25 May → | ||
| 13–11 | 0.02 | 28% | 24 May → | ||
| 7–13 | -0.04 | 24% | 24 May → | ||
| 15–15 | -0.01 | 15% | 24 May → | ||
| 6–13 | 0.05 | 22% | 21 May → | ||
| 6–13 | -0.04 | 14% | 21 May → | ||
| 7–13 | 0.02 | 16% | 16 May → | ||
| 10–13 | -0.06 | 24% | 16 May → | ||
| 13–9 | 0.04 | 30% | 16 May → | ||
| 3–13 | -0.05 | 19% | 16 May → | ||
| 7–13 | -0.01 | 21% | 16 May → | ||
| 13–6 | 0.08 | 21% | 11 May → | ||
| 13–3 | -0.06 | 5% | 11 May → | ||
| 5–13 | 0.02 | 9% | 3 May → | ||
| 13–5 | -0.01 | 19% | 3 May → | ||
| 6–7 | 0.02 | 7% | 3 May → | ||
| 10–13 | -0.05 | 17% | 2 May → | ||
| 13–4 | 0.05 | 15% | 2 May → | ||
| 0–13 | -0.02 | 0% | 2 May → | ||
| 13–3 | 0.02 | 22% | 2 May → | ||
| 11–13 | 0.00 | 9% | 2 May → | ||
| 4–13 | 0.01 | 10% | 2 May → | ||
| 8–13 | -0.02 | 16% | 2 May → | ||
| 0–13 | 0.01 | 21% | 2 May → | ||
| 13–6 | 0.08 | 16% | 2 May → | ||
| 13–11 | 0.09 | 20% | 26 Apr → | ||
| 13–6 | -0.03 | 10% | 26 Apr → | ||
| 13–6 | -0.02 | 18% | 26 Apr → | ||
| 10–13 | 0.02 | 10% | 26 Apr → | ||
| 13–9 | 0.06 | 26% | 26 Apr → | ||
| 9–13 | 0.08 | 20% | 26 Apr → | ||
| 7–3 | -0.08 | 13% | 26 Apr → | ||
| 9–13 | 0.04 | 30% | 26 Apr → | ||
| 13–6 | -0.02 | 5% | 24 Apr → | ||
| 11–13 | 0.06 | 16% | 24 Apr → |
Match data via Leetify.