maggi — CS2 Stats
76561197992400615[U:1:32134887]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerLimited 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 NiKo 85% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower positioning profile; lower utility contribution.
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
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 46 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 5.3/10 (Developing), 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 |
|---|---|---|---|---|---|
 dust2 | B | 28 | 15–13 | 54% | 0.02 |
 inferno | D | 18 | 6–12 | 33% | 0.02 |
 mirage | D | 15 | 5–10 | 33% | -0.02 |
| office | B | 6 | 3–3 | 50% | -0.03 |
 cache | D | 6 | 2–4 | 33% | 0.01 |
 ancient | C | 5 | 2–3 | 40% | -0.00 |
 vertigo | — | 4 | 3–1 | 75% | 0.02 |
 anubis | — | 4 | 2–2 | 50% | -0.03 |
 train | — | 4 | 4–0 | 100% | 0.01 |
 overpass | — | 3 | 3–0 | 100% | 0.01 |
| alpine | — | 3 | 0–3 | 0% | -0.00 |
 nuke | — | 2 | 1–1 | 50% | -0.00 |
| italy | — | 1 | 0–1 | 0% | -0.01 |
| warden | — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLW
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3172 — below the 0.5 mark we flag
- 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 31.9895% — 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.
33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 13–7 | -0.06 | 14% | 28 Aug → | |
| dust2 | 6–13 | -0.04 | 38% | 28 Aug → | |
| mirage | 12–12 | -0.07 | 15% | 28 Aug → | |
| vertigo | 13–8 | 0.05 | 17% | 25 Aug → | |
| anubis | 13–11 | -0.03 | 29% | 25 Aug → | |
| dust2 | 13–11 | 0.00 | 25% | 25 Aug → | |
| office | 7–13 | -0.07 | 21% | 24 Aug → | |
| anubis | 13–6 | 0.01 | 28% | 24 Aug → | |
| cache | 2–13 | 0.02 | 14% | 24 Aug → | |
| inferno | 9–13 | -0.03 | 31% | 24 Aug → | |
| cache | 5–13 | -0.04 | 10% | 20 Aug → | |
| nuke | 10–13 | -0.05 | 35% | 20 Aug → | |
| dust2 | 7–13 | 0.08 | 20% | 20 Aug → | |
| cache | 9–3 | 0.08 | 24% | 13 Aug → | |
| dust2 | 6–13 | -0.05 | 11% | 13 Aug → | |
| mirage | 13–9 | 0.01 | 13% | 13 Aug → | |
| inferno | 8–13 | -0.00 | 43% | 13 Aug → | |
| mirage | 9–13 | -0.03 | 17% | 13 Aug → | |
| dust2 | 7–13 | 0.05 | 31% | 13 Aug → | |
| mirage | 13–6 | 0.01 | 24% | 10 Aug → | |
| dust2 | 8–13 | -0.00 | 38% | 10 Aug → | |
| ancient | 4–13 | -0.04 | 17% | 5 Aug → | |
| dust2 | 4–13 | -0.05 | 25% | 5 Aug → | |
| mirage | 6–1 | 0.03 | 40% | 5 Aug → | |
| office | 13–7 | -0.03 | 22% | 4 Aug → | |
| dust2 | 13–8 | -0.03 | 38% | 4 Aug → | |
| mirage | 8–13 | 0.02 | 22% | 4 Aug → | |
| nuke | 13–5 | 0.04 | 22% | 4 Aug → | |
| dust2 | 6–13 | -0.04 | 22% | 3 Aug → | |
| italy | 11–13 | -0.01 | 25% | 1 Aug → | |
| office | 7–13 | -0.02 | 16% | 1 Aug → | |
| ancient | 13–11 | 0.03 | 33% | 30 Jul → | |
| inferno | 9–13 | 0.03 | 21% | 30 Jul → | |
| dust2 | 13–5 | 0.13 | 33% | 30 Jul → | |
| dust2 | 7–13 | 0.04 | 17% | 28 Jul → | |
| inferno | 12–12 | 0.01 | 27% | 28 Jul → | |
| train | 13–2 | 0.08 | 24% | 28 Jul → | |
| dust2 | 13–4 | 0.09 | 10% | 27 Jul → | |
| mirage | 4–13 | -0.06 | 24% | 27 Jul → | |
| cache | 6–13 | 0.03 | 25% | 27 Jul → | |
| train | 13–8 | -0.04 | 18% | 23 Jul → | |
| dust2 | 13–7 | -0.02 | 5% | 20 Jul → | |
| ancient | 13–11 | 0.03 | 18% | 20 Jul → | |
| inferno | 7–13 | -0.03 | 18% | 18 Jul → | |
| dust2 | 12–12 | 0.05 | 33% | 18 Jul → | |
| mirage | 4–13 | -0.07 | 28% | 18 Jul → | |
| office | 4–13 | 0.03 | 25% | 18 Jul → | |
| cache | 9–13 | -0.05 | 24% | 17 Jul → | |
| dust2 | 13–6 | -0.01 | 28% | 17 Jul → | |
| inferno | 10–13 | 0.03 | 15% | 17 Jul → | |
| ancient | 7–13 | 0.00 | 26% | 17 Jul → | |
| dust2 | 13–10 | 0.04 | 19% | 8 Jul → | |
| mirage | 10–13 | -0.05 | 16% | 8 Jul → | |
| dust2 | 13–10 | 0.01 | 27% | 28 Jun → | |
| inferno | 13–4 | 0.06 | 19% | 28 Jun → | |
| inferno | 13–10 | 0.09 | 14% | 27 Jun → | |
| dust2 | 13–10 | 0.00 | 17% | 27 Jun → | |
| ancient | 7–13 | -0.03 | 29% | 27 Jun → | |
| inferno | 8–13 | -0.04 | 23% | 22 Jun → | |
| vertigo | 13–3 | 0.02 | 20% | 22 Jun → | |
| inferno | 4–13 | 0.03 | 24% | 12 Jun → | |
| overpass | 13–11 | 0.03 | 19% | 12 Jun → | |
| dust2 | 13–2 | 0.00 | 27% | 17 May → | |
| cache | 13–7 | 0.01 | 24% | 17 May → | |
| alpine | 2–13 | -0.06 | 21% | 17 May → | |
| mirage | 11–13 | -0.03 | 21% | 27 Apr → | |
| train | 13–9 | -0.06 | 22% | 27 Apr → | |
| overpass | 13–7 | -0.02 | 21% | 27 Apr → | |
| inferno | 8–13 | 0.01 | 35% | 24 Apr → | |
| vertigo | 13–9 | 0.04 | 12% | 24 Apr → | |
| dust2 | 4–13 | 0.00 | 9% | 24 Apr → | |
| train | 13–7 | 0.08 | 10% | 23 Apr → | |
| mirage | 13–10 | 0.02 | 34% | 23 Apr → | |
| warden | 13–6 | -0.01 | 26% | 23 Apr → | |
| mirage | 6–13 | -0.02 | 13% | 13 Apr → | |
| dust2 | 12–12 | -0.06 | 32% | 13 Apr → | |
| inferno | 13–3 | 0.05 | 16% | 11 Apr → | |
| office | 13–4 | -0.02 | 15% | 11 Apr → | |
| vertigo | 11–13 | -0.03 | 18% | 11 Apr → | |
| anubis | 11–13 | -0.04 | 13% | 11 Apr → | |
| dust2 | 13–1 | 0.06 | 28% | 11 Apr → | |
| overpass | 13–2 | 0.01 | 26% | 11 Apr → | |
| dust2 | 8–13 | 0.00 | 13% | 2 Apr → | |
| inferno | 8–13 | -0.02 | 11% | 2 Apr → | |
| anubis | 8–13 | -0.05 | 22% | 2 Apr → | |
| alpine | 12–12 | 0.00 | 22% | 2 Apr → | |
| inferno | 13–9 | -0.03 | 26% | 24 Mar → | |
| alpine | 11–13 | 0.05 | 35% | 24 Mar → | |
| dust2 | 13–10 | 0.17 | 26% | 24 Mar → | |
| dust2 | 13–7 | 0.02 | 17% | 17 Feb → | |
| mirage | 13–9 | 0.03 | 15% | 17 Feb → | |
| mirage | 6–13 | -0.03 | 17% | 12 Nov → | |
| inferno | 13–9 | 0.05 | 24% | 12 Nov → | |
| dust2 | 13–4 | 0.09 | 29% | 12 Nov → | |
| dust2 | 6–13 | -0.00 | 27% | 21 Oct → | |
| inferno | 7–13 | 0.00 | 31% | 4 Oct → | |
| mirage | 11–13 | -0.02 | 20% | 4 Oct → | |
| dust2 | 13–6 | 0.08 | 17% | 28 Aug → | |
| inferno | 13–4 | 0.21 | 15% | 28 Aug → | |
| inferno | 9–13 | -0.03 | 20% | 23 May → |
Match data via Leetify.