Le MagiciaN — CS2 Stats
76561197998698226[U:1:38432498]
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 34.6% | 44.0% | 44.7% | 10.1% short |
| Shot accuracy | 21.8% | 11.6% | 11.9% | above |
| Kill/death ratio | 1.16 | 1.03 | 1.04 | above |
| Match win rate | 46.8% | 45.1% | 45.2% | above |
This profile matches the typical Level 6 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 6 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 · -0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Excellent counter-strafing
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 s1mple 93% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Strengths
Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Reaction time. 629ms 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 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 51 | 20–31 | 39% | 0.07 | |
| D | 22 | 5–17 | 23% | 0.06 | |
| D | 14 | 1–13 | 7% | 0.06 | |
| — | 4 | 1–3 | 25% | 0.04 | |
| — | 3 | 0–3 | 0% | 0.05 | |
| — | 3 | 0–3 | 0% | -0.02 | |
| — | 2 | 1–1 | 50% | -0.03 | |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (7% over 14). Start with the 6 essential Inferno 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 12 | 75% | 1.36 | 17.0 |
| Inferno | 10 | 70% | 1.43 | 16.5 |
| Mirage | 9 | 22% | 2.63 | 19.7 |
| Nuke | 5 | 80% | 1.26 | 16.8 |
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 14.9118% — 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.
7% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.07 | 13% | 10 Aug → | ||
| 13–9 | 0.17 | 15% | 10 Aug → | ||
| 6–13 | 0.02 | 11% | 2 Aug → | ||
| 6–13 | 0.06 | 17% | 2 Aug → | ||
| 4–13 | 0.04 | 15% | 24 Jul → | ||
| 6–13 | 0.02 | 16% | 24 Jul → | ||
| 9–1 | 0.07 | 13% | 23 Jul → | ||
| 3–13 | 0.04 | 23% | 23 Jul → | ||
| 9–13 | 0.13 | 21% | 22 Jul → | ||
| 2–13 | 0.02 | 11% | 22 Jul → | ||
| 9–13 | 0.10 | 19% | 22 Jul → | ||
| 3–13 | 0.07 | 21% | 20 Jul → | ||
| 1–13 | -0.01 | 11% | 20 Jul → | ||
| 13–9 | 0.11 | 24% | 20 Jul → | ||
| 13–5 | 0.13 | 14% | 17 Jul → | ||
| 10–13 | 0.03 | 4% | 17 Jul → | ||
| 13–9 | 0.17 | 14% | 16 Jul → | ||
| 1–13 | 0.11 | 13% | 15 Jul → | ||
| 9–13 | 0.09 | 9% | 15 Jul → | ||
| 3–13 | 0.04 | 21% | 14 Jul → | ||
| 13–5 | 0.03 | 18% | 14 Jul → | ||
| 5–2 | 0.16 | 45% | 14 Jul → | ||
| 8–13 | 0.05 | 18% | 13 Jul → | ||
| 6–13 | 0.11 | 19% | 13 Jul → | ||
| 7–13 | 0.16 | 10% | 8 Jul → | ||
| 6–13 | 0.11 | 8% | 8 Jul → | ||
| 11–13 | 0.11 | 14% | 19 Jun → | ||
| 12–12 | 0.16 | 15% | 12 Jun → | ||
| 13–4 | 0.10 | 11% | 8 Jun → | ||
| 0–13 | -0.09 | 0% | 8 Jun → | ||
| 5–13 | 0.04 | 15% | 2 Jun → | ||
| 13–11 | 0.15 | 17% | 29 May → | ||
| 16–14 | 0.02 | 11% | 21 May → | ||
| 10–13 | -0.07 | 8% | 20 May → | ||
| 6–13 | -0.02 | 6% | 20 May → | ||
| 8–13 | -0.02 | 10% | 20 May → | ||
| 6–13 | 0.09 | 11% | 15 May → | ||
| 2–13 | -0.10 | 10% | 15 May → | ||
| 13–5 | 0.14 | 17% | 15 May → | ||
| 6–1 | 0.10 | 9% | 15 May → | ||
| 7–13 | 0.05 | 7% | 13 May → | ||
| 7–13 | 0.01 | 14% | 12 May → | ||
| 5–13 | 0.08 | 23% | 10 May → | ||
| 5–13 | -0.00 | 16% | 10 May → | ||
| 2–13 | 0.07 | 27% | 8 May → | ||
| 6–13 | 0.04 | 21% | 8 May → | ||
| 6–13 | 0.07 | 11% | 8 May → | ||
| 10–13 | 0.04 | 17% | 6 May → | ||
| 10–13 | 0.10 | 18% | 6 May → | ||
| 9–13 | 0.09 | 33% | 6 May → | ||
| 13–8 | -0.03 | 28% | 6 May → | ||
| 7–13 | 0.09 | 25% | 5 May → | ||
| 10–13 | 0.12 | 16% | 4 May → | ||
| 3–13 | 0.10 | 20% | 4 May → | ||
| 4–13 | 0.14 | 14% | 4 May → | ||
| 13–10 | 0.14 | 23% | 1 May → | ||
| 13–7 | 0.09 | 16% | 1 May → | ||
| 11–13 | 0.13 | 16% | 1 May → | ||
| 16–14 | 0.12 | 15% | 1 May → | ||
| 5–13 | 0.04 | 13% | 30 Apr → | ||
| 13–9 | 0.07 | 18% | 30 Apr → | ||
| 8–13 | 0.08 | 23% | 30 Apr → | ||
| 2–13 | 0.00 | 13% | 30 Apr → | ||
| 2–13 | -0.05 | 15% | 30 Apr → | ||
| 8–13 | 0.00 | 14% | 29 Apr → | ||
| 13–7 | 0.05 | 18% | 29 Apr → | ||
| 13–8 | 0.01 | 9% | 29 Apr → | ||
| 13–11 | 0.01 | 9% | 28 Apr → | ||
| 1–13 | 0.06 | 18% | 27 Apr → | ||
| 8–13 | 0.05 | 19% | 27 Apr → | ||
| 2–13 | 0.01 | 20% | 27 Apr → | ||
| 13–7 | 0.14 | 14% | 27 Apr → | ||
| 9–4 | -0.02 | 3% | 26 Apr → | ||
| 13–9 | 0.17 | 19% | 24 Apr → | ||
| 2–13 | -0.03 | 29% | 24 Apr → | ||
| 13–6 | 0.12 | 22% | 24 Apr → | ||
| 5–13 | 0.07 | 20% | 24 Apr → | ||
| 6–13 | -0.06 | 19% | 23 Apr → | ||
| 6–13 | 0.02 | 10% | 23 Apr → | ||
| 13–7 | 0.09 | 23% | 23 Apr → | ||
| 5–13 | 0.03 | 16% | 22 Apr → | ||
| 5–13 | 0.06 | 15% | 22 Apr → | ||
| 6–5 | -0.01 | 13% | 22 Apr → | ||
| 13–8 | 0.07 | 10% | 22 Apr → | ||
| 5–13 | -0.06 | 8% | 21 Apr → | ||
| 15–15 | 0.10 | 9% | 20 Apr → | ||
| 6–13 | 0.03 | 6% | 20 Apr → | ||
| 11–13 | 0.15 | 11% | 20 Apr → | ||
| 12–16 | 0.11 | 20% | 16 Apr → | ||
| 3–13 | 0.04 | 13% | 15 Apr → | ||
| 7–13 | 0.18 | 18% | 15 Apr → | ||
| 7–13 | 0.00 | 12% | 15 Apr → | ||
| 13–16 | 0.18 | 13% | 14 Apr → | ||
| 3–13 | -0.06 | 28% | 14 Apr → | ||
| 13–8 | 0.09 | 11% | 13 Apr → | ||
| 7–13 | -0.02 | 25% | 13 Apr → | ||
| 7–13 | 0.08 | 12% | 13 Apr → | ||
| 4–13 | -0.05 | 18% | 13 Apr → | ||
| 5–13 | 0.02 | 9% | 10 Apr → | ||
| 7–13 | 0.07 | 15% | 10 Apr → |
Match data via Leetify.
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