magician — CS2 Stats
76561198839768862[U:1:879503134]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.00 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 NiKo 89% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower aim profile; lower 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
Areas to improve
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 47% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 590ms 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 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| S | 30 | 20–10 | 67% | 0.01 | |
| C | 23 | 9–14 | 39% | 0.03 | |
| C | 16 | 7–9 | 44% | -0.00 | |
| D | 14 | 2–12 | 14% | -0.01 | |
| A | 12 | 7–5 | 58% | 0.00 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 634 | 53% | 1.20 | 17.8 |
| Dust2 | 364 | 54% | 1.16 | 18.0 |
| Ancient | 288 | 47% | 1.07 | 16.5 |
| Anubis | 247 | 49% | 1.08 | 16.6 |
| Inferno | 191 | 50% | 1.17 | 17.2 |
| Nuke | 54 | 43% | 1.07 | 17.2 |
| Overpass | 52 | 48% | 1.05 | 16.3 |
| Train | 29 | 38% | 1.00 | 17.3 |
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.
- 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 17.942% — 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.
14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.01 | 42% | 7 Aug → | ||
| 11–13 | 0.01 | 20% | 18 Jul → | ||
| 14–16 | 0.01 | 18% | 18 Jul → | ||
| 13–6 | 0.03 | 24% | 15 Jul → | ||
| 8–13 | -0.03 | 15% | 3 Jul → | ||
| 13–7 | 0.08 | 32% | 2 Jul → | ||
| 11–13 | -0.01 | 41% | 22 Jun → | ||
| 13–16 | -0.04 | 20% | 6 Jun → | ||
| 13–9 | -0.00 | 24% | 6 Jun → | ||
| 22–19 | 0.03 | 30% | 3 Jun → | ||
| 4–13 | -0.00 | 32% | 31 May → | ||
| 13–9 | -0.04 | 29% | 30 May → | ||
| 13–6 | -0.11 | 5% | 27 May → | ||
| 13–6 | 0.05 | 22% | 27 May → | ||
| 13–9 | 0.04 | 31% | 27 May → | ||
| 13–2 | 0.04 | 19% | 25 May → | ||
| 16–19 | -0.03 | 29% | 23 May → | ||
| 13–11 | 0.02 | 23% | 21 May → | ||
| 13–16 | 0.07 | 29% | 8 May → | ||
| 13–16 | -0.02 | 23% | 7 May → | ||
| 13–11 | 0.07 | 30% | 29 Apr → | ||
| 6–13 | -0.02 | 14% | 29 Apr → | ||
| 5–13 | -0.03 | 35% | 27 Apr → | ||
| 13–10 | -0.03 | 19% | 23 Apr → | ||
| 10–13 | 0.04 | 25% | 22 Apr → | ||
| 10–13 | 0.02 | 31% | 22 Apr → | ||
| 13–16 | -0.07 | 33% | 21 Apr → | ||
| 13–4 | -0.01 | 31% | 21 Apr → | ||
| 13–6 | 0.04 | 21% | 14 Apr → | ||
| 8–13 | 0.03 | 41% | 12 Apr → | ||
| 13–10 | 0.03 | 18% | 11 Apr → | ||
| 9–13 | 0.04 | 38% | 10 Apr → | ||
| 6–13 | 0.04 | 22% | 9 Apr → | ||
| 13–7 | 0.05 | 25% | 7 Apr → | ||
| 13–5 | -0.05 | 36% | 4 Apr → | ||
| 13–11 | 0.01 | 19% | 4 Apr → | ||
| 7–13 | -0.02 | 32% | 1 Apr → | ||
| 8–13 | 0.02 | 25% | 30 Mar → | ||
| 13–7 | -0.06 | 17% | 24 Mar → | ||
| 9–13 | -0.02 | 23% | 24 Mar → | ||
| 11–13 | 0.03 | 29% | 24 Mar → | ||
| 7–13 | 0.00 | 26% | 24 Mar → | ||
| 16–14 | 0.06 | 20% | 23 Mar → | ||
| 13–9 | 0.08 | 23% | 23 Mar → | ||
| 12–16 | -0.01 | 20% | 20 Mar → | ||
| 13–11 | -0.02 | 14% | 20 Mar → | ||
| 13–11 | 0.01 | 21% | 20 Mar → | ||
| 13–8 | 0.08 | 23% | 19 Mar → | ||
| 13–3 | 0.08 | 33% | 19 Mar → | ||
| 9–13 | 0.02 | 20% | 19 Mar → | ||
| 13–10 | -0.01 | 28% | 19 Mar → | ||
| 13–8 | 0.02 | 16% | 18 Mar → | ||
| 13–7 | 0.07 | 30% | 18 Mar → | ||
| 19–17 | 0.02 | 19% | 16 Mar → | ||
| 13–16 | -0.02 | 29% | 9 Mar → | ||
| 11–13 | 0.00 | 34% | 8 Mar → | ||
| 9–13 | -0.02 | 19% | 5 Mar → | ||
| 9–13 | -0.00 | 32% | 1 Mar → | ||
| 13–7 | -0.00 | 16% | 27 Feb → | ||
| 13–11 | 0.01 | 23% | 21 Feb → | ||
| 13–16 | -0.00 | 13% | 15 Feb → | ||
| 13–16 | -0.04 | 15% | 15 Feb → | ||
| 13–5 | 0.08 | 14% | 8 Feb → | ||
| 11–13 | -0.05 | 22% | 7 Feb → | ||
| 11–13 | 0.01 | 28% | 26 Jan → | ||
| 8–13 | -0.01 | 20% | 25 Jan → | ||
| 13–10 | 0.04 | 21% | 23 Jan → | ||
| 7–13 | 0.01 | 25% | 21 Jan → | ||
| 4–13 | -0.03 | 23% | 18 Jan → | ||
| 16–13 | 0.01 | 17% | 18 Jan → | ||
| 9–13 | 0.03 | 21% | 18 Jan → | ||
| 9–13 | -0.04 | 17% | 17 Jan → | ||
| 2–13 | -0.07 | 28% | 17 Jan → | ||
| 11–13 | 0.09 | 30% | 6 Jan → | ||
| 13–11 | -0.01 | 25% | 6 Jan → | ||
| 19–15 | 0.00 | 17% | 5 Jan → | ||
| 13–4 | -0.01 | 21% | 4 Jan → | ||
| 8–13 | -0.06 | 21% | 4 Jan → | ||
| 3–13 | -0.03 | 22% | 3 Jan → | ||
| 6–13 | -0.05 | 12% | 2 Jan → | ||
| 5–13 | 0.02 | 26% | 29 Dec → | ||
| 8–13 | -0.03 | 24% | 28 Dec → | ||
| 7–13 | 0.03 | 20% | 28 Dec → | ||
| 13–10 | -0.04 | 26% | 23 Dec → | ||
| 13–10 | -0.00 | 20% | 20 Dec → | ||
| 11–13 | 0.07 | 25% | 19 Dec → | ||
| 19–16 | -0.01 | 23% | 18 Dec → | ||
| 13–9 | 0.03 | 29% | 16 Dec → | ||
| 8–13 | 0.06 | 24% | 15 Dec → | ||
| 13–9 | 0.06 | 23% | 12 Dec → | ||
| 10–13 | -0.00 | 18% | 12 Dec → | ||
| 13–4 | -0.05 | 26% | 11 Dec → | ||
| 13–1 | 0.01 | 0% | 11 Dec → | ||
| 8–13 | 0.04 | 13% | 11 Dec → | ||
| 11–13 | 0.03 | 38% | 10 Dec → | ||
| 13–5 | 0.05 | 9% | 9 Dec → | ||
| 5–13 | -0.04 | 26% | 9 Dec → | ||
| 15–15 | 0.04 | 18% | 6 Dec → | ||
| 9–13 | 0.01 | 28% | 4 Dec → | ||
| 19–15 | 0.04 | 24% | 4 Dec → |
Match data via Leetify.