Magel — CS2 Stats
76561198071689473[U:1:111423745]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 device 91% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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. 619ms 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 6.0/10 (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 | 23 | 14–9 | 61% | 0.02 | |
| C | 22 | 9–13 | 41% | 0.01 | |
| B | 12 | 6–6 | 50% | 0.01 | |
| D | 12 | 4–8 | 33% | 0.01 | |
| D | 12 | 3–9 | 25% | -0.01 | |
| D | 9 | 3–6 | 33% | 0.03 | |
| D | 5 | 1–4 | 20% | -0.02 | |
| — | 3 | 0–3 | 0% | -0.02 | |
| fachwerk | — | 2 | 1–1 | 50% | 0.04 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 10 | 60% | 1.16 | 16.4 |
| Ancient | 8 | 50% | 1.11 | 12.4 |
| Dust2 | 7 | 43% | 1.09 | 16.1 |
| Anubis | 6 | 33% | 1.00 | 14.0 |
| Inferno | 4 | 50% | 4.01 | 10.8 |
| Overpass | 3 | 33% | 1.24 | 19.0 |
| Mirage | 2 | 0% | 0.80 | 10.5 |
| Train | 2 | 0% | 0.70 | 11.5 |
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 13.7511% — 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 | |
|---|---|---|---|---|---|
| 13–11 | -0.04 | 11% | 27 Aug → | ||
| 4–13 | -0.05 | 10% | 26 Aug → | ||
| 11–13 | -0.03 | 12% | 26 Aug → | ||
| 6–13 | -0.06 | 10% | 24 Aug → | ||
| fachwerk | 13–6 | 0.07 | 19% | 24 Aug → | |
| 13–10 | 0.05 | 8% | 21 Aug → | ||
| 13–11 | 0.06 | 20% | 21 Aug → | ||
| 10–13 | -0.01 | 21% | 20 Aug → | ||
| 13–11 | -0.00 | 10% | 20 Aug → | ||
| 6–13 | -0.05 | 8% | 20 Aug → | ||
| 8–13 | 0.07 | 17% | 19 Aug → | ||
| 7–13 | 0.00 | 10% | 18 Aug → | ||
| 9–13 | 0.00 | 16% | 16 Aug → | ||
| 6–13 | -0.01 | 10% | 15 Aug → | ||
| 13–6 | 0.09 | 13% | 15 Aug → | ||
| 13–4 | 0.04 | 14% | 15 Aug → | ||
| 13–6 | 0.08 | 24% | 14 Aug → | ||
| 13–5 | 0.13 | 17% | 14 Aug → | ||
| 12–16 | 0.04 | 9% | 13 Aug → | ||
| 1–13 | -0.02 | 22% | 13 Aug → | ||
| 13–8 | -0.02 | 8% | 12 Aug → | ||
| 6–13 | -0.04 | 13% | 12 Aug → | ||
| 13–4 | 0.06 | 29% | 12 Aug → | ||
| 5–13 | 0.02 | 14% | 12 Aug → | ||
| 6–13 | -0.08 | 8% | 12 Aug → | ||
| 5–13 | -0.06 | 13% | 11 Aug → | ||
| 16–12 | 0.12 | 11% | 11 Aug → | ||
| 13–7 | 0.01 | 19% | 10 Aug → | ||
| 11–13 | -0.03 | 11% | 10 Aug → | ||
| 3–13 | -0.07 | 12% | 8 Aug → | ||
| fachwerk | 12–12 | 0.01 | 16% | 7 Aug → | |
| 10–13 | -0.00 | 15% | 6 Aug → | ||
| 6–13 | 0.01 | 12% | 5 Aug → | ||
| 9–13 | 0.01 | 13% | 5 Aug → | ||
| 13–4 | 0.10 | 12% | 5 Aug → | ||
| 9–13 | 0.02 | 12% | 4 Aug → | ||
| 13–6 | 0.12 | 18% | 4 Aug → | ||
| 13–10 | 0.05 | 9% | 3 Aug → | ||
| 6–13 | -0.01 | 14% | 3 Aug → | ||
| 7–13 | -0.00 | 8% | 31 Jul → | ||
| 9–13 | 0.06 | 12% | 31 Jul → | ||
| 13–10 | 0.02 | 13% | 27 Jul → | ||
| 13–11 | 0.00 | 19% | 27 Jul → | ||
| 10–13 | 0.06 | 15% | 27 Jul → | ||
| 13–8 | -0.04 | 3% | 24 Jul → | ||
| 10–13 | 0.00 | 21% | 24 Jul → | ||
| 8–13 | -0.03 | 27% | 23 Jul → | ||
| 16–13 | -0.02 | 6% | 23 Jul → | ||
| 12–16 | -0.03 | 5% | 22 Jul → | ||
| 6–13 | -0.08 | 16% | 22 Jul → | ||
| 13–5 | 0.09 | 12% | 21 Jul → | ||
| 8–13 | 0.02 | 25% | 30 Jun → | ||
| 11–13 | -0.05 | 11% | 19 May → | ||
| 10–13 | 0.04 | 13% | 15 May → | ||
| 4–13 | 0.04 | 16% | 15 May → | ||
| 13–8 | 0.02 | 11% | 12 May → | ||
| 13–4 | 0.00 | 6% | 12 May → | ||
| 7–13 | -0.00 | 17% | 11 May → | ||
| 13–10 | -0.00 | 10% | 9 May → | ||
| 13–2 | 0.06 | 12% | 9 May → | ||
| 9–13 | -0.03 | 15% | 8 May → | ||
| 5–13 | -0.03 | 16% | 8 May → | ||
| 11–13 | 0.03 | 10% | 8 May → | ||
| 9–13 | 0.07 | 14% | 7 May → | ||
| 9–13 | -0.00 | 14% | 7 May → | ||
| 13–7 | 0.04 | 22% | 6 May → | ||
| 13–8 | 0.04 | 13% | 6 May → | ||
| 5–13 | 0.06 | 15% | 5 May → | ||
| 13–2 | -0.02 | 6% | 5 May → | ||
| 13–7 | 0.08 | 13% | 4 May → | ||
| 13–10 | 0.04 | 13% | 4 May → | ||
| 13–8 | -0.02 | 5% | 30 Apr → | ||
| 7–13 | 0.06 | 19% | 27 Apr → | ||
| 13–7 | -0.08 | 7% | 27 Apr → | ||
| 5–13 | -0.09 | 10% | 27 Apr → | ||
| 13–11 | -0.02 | 12% | 26 Apr → | ||
| 13–10 | -0.02 | 10% | 25 Apr → | ||
| 5–13 | -0.02 | 25% | 25 Apr → | ||
| 11–13 | 0.03 | 14% | 25 Apr → | ||
| 5–13 | -0.01 | 17% | 25 Apr → | ||
| 16–14 | -0.01 | 7% | 20 Apr → | ||
| 10–13 | 0.08 | 8% | 13 Apr → | ||
| 13–6 | 0.02 | 11% | 13 Apr → | ||
| 7–13 | 0.04 | 10% | 11 Apr → | ||
| 6–13 | 0.05 | 12% | 11 Apr → | ||
| 10–13 | -0.04 | 8% | 11 Apr → | ||
| 13–6 | 0.01 | 16% | 8 Apr → | ||
| 5–13 | -0.05 | 11% | 8 Apr → | ||
| 13–11 | -0.01 | 11% | 8 Apr → | ||
| 10–13 | 0.03 | 13% | 6 Apr → | ||
| 14–16 | 0.08 | 16% | 6 Apr → | ||
| 13–7 | 0.05 | 9% | 6 Apr → | ||
| 13–9 | -0.02 | 14% | 6 Apr → | ||
| 6–13 | 0.04 | 27% | 4 Apr → | ||
| 11–13 | -0.01 | 8% | 2 Apr → | ||
| 5–13 | -0.08 | 5% | 2 Apr → | ||
| 12–16 | -0.04 | 19% | 29 Mar → | ||
| 13–6 | 0.06 | 15% | 28 Mar → | ||
| 4–13 | -0.04 | 14% | 28 Mar → | ||
| 6–13 | -0.02 | 18% | 26 Mar → |
Match data via Leetify.
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