wizzy 🥵 — CS2 Stats
76561199041898495[U:1:1081632767]
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 26.1% | 42.5% | 44.2% | 18.1% short |
| Shot accuracy | 5.7% | 10.9% | 11.2% | 5.5% short |
| Kill/death ratio | 1.02 | 0.99 | 1.04 | meets |
| Match win rate | 50.3% | 44.2% | 45.3% | above |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 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.
Limited 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 b1t 86% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: lower positioning profile; 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
Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.9/10 (Developing), 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 | 57 | 27–30 | 47% | 0.02 | |
| A | 15 | 9–6 | 60% | -0.03 | |
| D | 9 | 2–7 | 22% | -0.02 | |
| A | 8 | 5–3 | 63% | -0.03 | |
| D | 5 | 1–4 | 20% | -0.06 | |
| — | 3 | 1–2 | 33% | -0.03 | |
| — | 2 | 1–1 | 50% | 0.00 | |
| — | 1 | 0–1 | 0% | -0.12 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 37 | 59% | 1.24 | 16.8 |
| Dust2 | 31 | 55% | 0.83 | 11.5 |
| Anubis | 19 | 26% | 0.86 | 12.9 |
| Inferno | 18 | 50% | 0.79 | 11.1 |
| Nuke | 12 | 50% | 0.77 | 11.4 |
| Ancient | 8 | 75% | 1.14 | 14.1 |
| Train | 2 | 0% | 0.54 | 7.0 |
| Cache | 1 | 0% | 0.44 | 7.0 |
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
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 10.4824% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | 0.03 | 12% | 29 Aug → | ||
| 4–13 | 0.02 | 12% | 28 Aug → | ||
| 13–5 | -0.05 | 6% | 28 Aug → | ||
| 13–7 | 0.06 | 13% | 28 Aug → | ||
| 13–1 | -0.03 | 20% | 28 Aug → | ||
| 12–12 | 0.03 | 16% | 27 Aug → | ||
| 13–8 | 0.03 | 14% | 27 Aug → | ||
| 10–13 | 0.03 | 8% | 25 Aug → | ||
| 11–13 | 0.00 | 7% | 25 Aug → | ||
| 12–12 | 0.03 | 15% | 25 Aug → | ||
| 13–6 | 0.03 | 15% | 24 Aug → | ||
| 13–9 | 0.03 | 10% | 24 Aug → | ||
| 12–12 | -0.07 | 7% | 23 Aug → | ||
| 13–3 | 0.01 | 10% | 23 Aug → | ||
| 5–13 | -0.10 | 3% | 23 Aug → | ||
| 13–2 | -0.03 | 11% | 23 Aug → | ||
| 13–1 | 0.06 | 12% | 23 Aug → | ||
| 9–13 | -0.05 | 12% | 23 Aug → | ||
| 5–13 | -0.04 | 12% | 23 Aug → | ||
| 13–11 | -0.06 | 17% | 23 Aug → | ||
| 1–13 | -0.16 | 5% | 22 Aug → | ||
| 13–11 | -0.01 | 13% | 22 Aug → | ||
| 13–8 | -0.05 | 5% | 21 Aug → | ||
| 6–13 | 0.03 | 5% | 21 Aug → | ||
| 0–13 | -0.05 | 4% | 21 Aug → | ||
| 2–13 | -0.01 | 13% | 21 Aug → | ||
| 13–4 | 0.11 | 15% | 21 Aug → | ||
| 12–12 | 0.04 | 13% | 21 Aug → | ||
| 16–12 | -0.01 | 5% | 21 Aug → | ||
| 13–8 | -0.00 | 6% | 21 Aug → | ||
| 7–13 | 0.02 | 13% | 20 Aug → | ||
| 13–7 | 0.07 | 17% | 20 Aug → | ||
| 19–17 | -0.02 | 12% | 20 Aug → | ||
| 19–17 | 0.01 | 13% | 19 Aug → | ||
| 13–7 | -0.06 | 6% | 19 Aug → | ||
| 12–12 | -0.02 | 6% | 19 Aug → | ||
| 7–13 | 0.02 | 12% | 19 Aug → | ||
| 7–13 | -0.01 | 16% | 19 Aug → | ||
| 13–9 | 0.01 | 11% | 17 Aug → | ||
| 4–13 | -0.11 | 9% | 17 Aug → | ||
| 16–13 | -0.03 | 11% | 16 Aug → | ||
| 13–2 | 0.11 | 14% | 16 Aug → | ||
| 13–11 | 0.02 | 10% | 16 Aug → | ||
| 13–3 | 0.13 | 14% | 16 Aug → | ||
| 13–8 | -0.06 | 9% | 16 Aug → | ||
| 13–4 | 0.02 | 16% | 15 Aug → | ||
| 13–11 | -0.04 | 10% | 15 Aug → | ||
| 13–7 | 0.04 | 0% | 15 Aug → | ||
| 12–12 | -0.01 | 18% | 15 Aug → | ||
| 13–4 | 0.08 | 16% | 15 Aug → | ||
| 13–11 | 0.09 | 12% | 15 Aug → | ||
| 2–13 | 0.00 | 20% | 15 Aug → | ||
| 13–5 | 0.10 | 3% | 13 Aug → | ||
| 13–6 | 0.04 | 29% | 13 Aug → | ||
| 13–8 | 0.07 | 10% | 13 Aug → | ||
| 8–13 | 0.03 | 13% | 12 Aug → | ||
| 13–7 | -0.04 | 12% | 9 Aug → | ||
| 9–13 | -0.07 | 0% | 9 Aug → | ||
| 10–13 | 0.05 | 15% | 9 Aug → | ||
| 13–1 | 0.02 | 6% | 9 Aug → | ||
| 9–13 | 0.03 | 7% | 9 Aug → | ||
| 10–13 | 0.03 | 11% | 8 Aug → | ||
| 13–9 | 0.15 | 26% | 8 Aug → | ||
| 10–13 | -0.09 | 6% | 4 Aug → | ||
| 13–8 | 0.07 | 19% | 3 Aug → | ||
| 12–12 | 0.09 | 11% | 3 Aug → | ||
| 9–13 | -0.03 | 4% | 3 Aug → | ||
| 13–6 | -0.02 | 23% | 2 Aug → | ||
| 10–13 | 0.06 | 8% | 1 Aug → | ||
| 13–11 | 0.06 | 12% | 1 Aug → | ||
| 8–13 | 0.02 | 13% | 1 Aug → | ||
| 8–13 | 0.07 | 12% | 30 Jul → | ||
| 8–13 | -0.05 | 29% | 30 Jul → | ||
| 13–9 | -0.01 | 17% | 30 Jul → | ||
| 11–13 | -0.06 | 16% | 30 Jul → | ||
| 2–13 | -0.08 | 5% | 30 Jul → | ||
| 12–12 | 0.05 | 15% | 30 Jul → | ||
| 5–13 | -0.08 | 8% | 29 Jul → | ||
| 2–13 | -0.07 | 22% | 26 Jul → | ||
| 3–13 | -0.09 | 12% | 26 Jul → | ||
| 1–13 | -0.01 | 6% | 26 Jul → | ||
| 7–13 | 0.05 | 6% | 26 Jul → | ||
| 13–9 | -0.02 | 2% | 26 Jul → | ||
| 13–10 | -0.01 | 7% | 25 Jul → | ||
| 12–12 | -0.08 | 11% | 25 Jul → | ||
| 13–9 | 0.09 | 15% | 25 Jul → | ||
| 8–13 | -0.00 | 13% | 25 Jul → | ||
| 10–13 | -0.01 | 11% | 24 Jul → | ||
| 9–13 | -0.04 | 5% | 24 Jul → | ||
| 1–13 | -0.12 | 11% | 24 Jul → | ||
| 16–14 | -0.08 | 7% | 24 Jul → | ||
| 6–13 | -0.06 | 25% | 24 Jul → | ||
| 16–13 | -0.02 | 13% | 24 Jul → | ||
| 12–12 | 0.02 | 10% | 24 Jul → | ||
| 6–13 | 0.03 | 26% | 24 Jul → | ||
| 9–13 | -0.08 | 10% | 23 Jul → | ||
| 5–13 | -0.05 | 3% | 22 Jul → | ||
| 9–13 | -0.11 | 0% | 22 Jul → | ||
| 7–13 | -0.01 | 15% | 22 Jul → | ||
| 13–10 | 0.07 | 5% | 22 Jul → |
Match data via Leetify.