MaggiMorgaes — CS2 Stats
76561198991377183[U:1:1031111455]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 10 median |
|---|---|---|
| Headshot rate | 67.1% | 51.9% |
| Shot accuracy | 8.6% | 13.7% |
| Kill/death ratio | 1.20 | 1.08 |
| Match win rate | 36.4% | 48.7% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 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 91% playstyle similarity
Most alike: utility contribution, opening-duel success.
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 35 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 47% on CT to 29% 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 5.6/10 (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 |
|---|---|---|---|---|---|
 dust2 | A | 21 | 13–8 | 62% | -0.02 |
 ancient | C | 19 | 8–11 | 42% | -0.01 |
 mirage | C | 18 | 8–10 | 44% | 0.00 |
 anubis | D | 14 | 4–10 | 29% | -0.01 |
 inferno | S | 14 | 11–3 | 79% | 0.00 |
 nuke | S | 6 | 4–2 | 67% | 0.02 |
 overpass | — | 4 | 3–1 | 75% | 0.01 |
 cache | — | 2 | 2–0 | 100% | 0.06 |
 train | — | 2 | 1–1 | 50% | 0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Anubis 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 295 | 44% | 0.91 | 15.0 |
| Ancient | 282 | 46% | 0.95 | 15.7 |
| Dust2 | 261 | 47% | 0.96 | 15.4 |
| Anubis | 250 | 51% | 1.03 | 15.8 |
| Inferno | 225 | 47% | 0.96 | 15.4 |
| Nuke | 197 | 58% | 1.07 | 16.7 |
| Train | 92 | 65% | 1.03 | 16.4 |
| Overpass | 55 | 49% | 0.98 | 16.0 |
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.
- 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 29.3851% — 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.
29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–6 | -0.01 | 22% | 27 Aug → | |
| dust2 | 9–13 | -0.02 | 16% | 27 Aug → | |
| cache | 13–6 | 0.07 | 26% | 23 Aug → | |
| nuke | 13–5 | 0.05 | 13% | 19 Aug → | |
| nuke | 11–13 | 0.02 | 22% | 17 Aug → | |
| dust2 | 13–8 | -0.00 | 29% | 16 Aug → | |
| ancient | 13–7 | 0.01 | 18% | 14 Aug → | |
| anubis | 9–13 | -0.09 | 13% | 13 Aug → | |
| ancient | 10–13 | -0.03 | 14% | 11 Aug → | |
| dust2 | 13–7 | 0.00 | 27% | 9 Aug → | |
| ancient | 13–10 | -0.01 | 21% | 7 Aug → | |
| anubis | 13–2 | 0.08 | 20% | 7 Aug → | |
| ancient | 11–13 | 0.00 | 21% | 6 Aug → | |
| ancient | 13–11 | 0.07 | 15% | 5 Aug → | |
| mirage | 7–13 | 0.03 | 17% | 4 Aug → | |
| anubis | 9–13 | -0.04 | 13% | 30 Jul → | |
| inferno | 16–12 | 0.02 | 14% | 26 Jul → | |
| anubis | 11–13 | -0.02 | 28% | 18 Jul → | |
| dust2 | 13–16 | -0.00 | 27% | 18 Jul → | |
| mirage | 13–7 | 0.02 | 31% | 18 Jul → | |
| anubis | 11–13 | -0.04 | 17% | 12 Jul → | |
| dust2 | 14–16 | 0.00 | 28% | 12 Jul → | |
| anubis | 6–13 | -0.07 | 24% | 26 Jun → | |
| anubis | 11–13 | 0.01 | 30% | 26 Jun → | |
| cache | 13–6 | 0.04 | 22% | 25 Jun → | |
| inferno | 10–13 | 0.01 | 21% | 25 Jun → | |
| overpass | 13–11 | -0.00 | 21% | 25 Jun → | |
| anubis | 5–13 | -0.06 | 17% | 1 Jun → | |
| mirage | 8–13 | -0.04 | 25% | 31 May → | |
| mirage | 12–16 | -0.00 | 11% | 23 May → | |
| dust2 | 19–16 | 0.00 | 19% | 22 May → | |
| ancient | 11–13 | -0.04 | 19% | 17 May → | |
| ancient | 6–13 | -0.03 | 17% | 14 May → | |
| anubis | 13–7 | 0.02 | 24% | 11 May → | |
| anubis | 11–13 | -0.02 | 16% | 5 May → | |
| dust2 | 16–14 | -0.02 | 26% | 26 Apr → | |
| inferno | 13–4 | 0.03 | 11% | 7 Apr → | |
| mirage | 11–13 | 0.01 | 22% | 3 Apr → | |
| dust2 | 13–6 | 0.03 | 20% | 25 Mar → | |
| mirage | 13–7 | 0.08 | 23% | 23 Mar → | |
| inferno | 13–4 | 0.09 | 20% | 22 Mar → | |
| dust2 | 13–8 | 0.05 | 11% | 19 Mar → | |
| anubis | 13–10 | 0.03 | 17% | 18 Mar → | |
| ancient | 8–13 | -0.05 | 36% | 23 Feb → | |
| mirage | 13–10 | -0.04 | 12% | 22 Feb → | |
| ancient | 16–13 | -0.00 | 27% | 22 Feb → | |
| ancient | 7–13 | -0.07 | 17% | 18 Feb → | |
| inferno | 16–14 | 0.03 | 17% | 17 Feb → | |
| dust2 | 13–9 | -0.01 | 12% | 11 Feb → | |
| anubis | 13–9 | -0.04 | 20% | 11 Feb → | |
| nuke | 13–4 | 0.03 | 22% | 6 Feb → | |
| dust2 | 4–13 | 0.00 | 21% | 6 Feb → | |
| dust2 | 13–5 | -0.00 | 27% | 5 Feb → | |
| anubis | 20–22 | -0.02 | 13% | 21 Jan → | |
| anubis | 12–16 | 0.05 | 17% | 14 Jan → | |
| dust2 | 11–13 | -0.04 | 18% | 5 Jan → | |
| mirage | 13–5 | 0.00 | 10% | 3 Jan → | |
| mirage | 9–13 | -0.04 | 7% | 3 Jan → | |
| inferno | 13–11 | -0.00 | 31% | 3 Jan → | |
| dust2 | 5–13 | -0.07 | 14% | 2 Jan → | |
| inferno | 13–7 | -0.01 | 22% | 31 Dec → | |
| overpass | 11–13 | -0.04 | 23% | 11 Dec → | |
| overpass | 13–9 | 0.07 | 18% | 10 Dec → | |
| inferno | 13–8 | 0.03 | 15% | 9 Dec → | |
| ancient | 16–13 | -0.05 | 15% | 8 Dec → | |
| mirage | 11–13 | 0.00 | 17% | 25 Nov → | |
| dust2 | 9–13 | -0.09 | 39% | 10 Nov → | |
| mirage | 13–7 | 0.04 | 37% | 10 Nov → | |
| dust2 | 13–9 | -0.02 | 25% | 10 Nov → | |
| mirage | 13–7 | 0.03 | 29% | 2 Nov → | |
| mirage | 7–13 | -0.04 | 13% | 28 Oct → | |
| ancient | 4–13 | -0.04 | 12% | 20 Oct → | |
| train | 13–5 | -0.02 | 26% | 19 Oct → | |
| dust2 | 13–11 | -0.05 | 24% | 19 Oct → | |
| inferno | 13–10 | -0.03 | 31% | 10 Oct → | |
| ancient | 13–10 | -0.01 | 25% | 9 Oct → | |
| dust2 | 7–13 | -0.08 | 21% | 8 Oct → | |
| mirage | 13–11 | -0.00 | 21% | 8 Oct → | |
| ancient | 8–13 | 0.01 | 27% | 27 Sept → | |
| dust2 | 13–6 | -0.01 | 26% | 26 Sept → | |
| ancient | 11–13 | -0.01 | 17% | 22 Sept → | |
| dust2 | 13–8 | 0.02 | 15% | 22 Sept → | |
| inferno | 6–13 | -0.03 | 36% | 13 Sept → | |
| overpass | 13–5 | 0.01 | 26% | 13 Sept → | |
| ancient | 8–13 | 0.06 | 25% | 13 Sept → | |
| nuke | 19–15 | -0.00 | 12% | 10 Sept → | |
| mirage | 9–13 | 0.02 | 14% | 2 Sept → | |
| ancient | 13–11 | -0.04 | 18% | 31 Aug → | |
| mirage | 16–13 | -0.02 | 12% | 30 Aug → | |
| nuke | 16–14 | 0.05 | 25% | 17 Aug → | |
| train | 11–13 | 0.06 | 31% | 16 Aug → | |
| inferno | 13–7 | 0.05 | 22% | 10 Aug → | |
| inferno | 13–11 | -0.01 | 14% | 9 Aug → | |
| mirage | 6–13 | 0.03 | 13% | 9 Aug → | |
| nuke | 7–13 | -0.01 | 27% | 8 Aug → | |
| mirage | 2–13 | -0.01 | 20% | 3 Aug → | |
| inferno | 17–19 | -0.05 | 21% | 30 Jul → | |
| ancient | 22–18 | 0.00 | 13% | 27 Jul → | |
| ancient | 14–16 | -0.04 | 25% | 25 Jul → | |
| inferno | 16–12 | -0.07 | 10% | 24 Jul → |
Match data via Leetify.
