mlody — CS2 Stats
76561199563245399[U:1:1602979671]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
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 Twistzz 85% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 605ms 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 5.0/10 (Developing), 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 |
|---|---|---|---|---|---|
 mirage | S | 23 | 15–8 | 65% | 0.06 |
 dust2 | A | 16 | 9–7 | 56% | 0.01 |
 train | A | 12 | 7–5 | 58% | 0.01 |
 anubis | A | 9 | 5–4 | 56% | 0.03 |
 vertigo | A | 8 | 5–3 | 63% | 0.03 |
| office | S | 8 | 8–0 | 100% | 0.05 |
 overpass | S | 7 | 6–1 | 86% | 0.03 |
 nuke | B | 6 | 3–3 | 50% | 0.01 |
 inferno | C | 5 | 2–3 | 40% | -0.03 |
 ancient | — | 4 | 3–1 | 75% | 0.01 |
 cache | — | 2 | 1–1 | 50% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 5). 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 |
|---|---|---|---|---|
| Mirage | 287 | 56% | 1.01 | 14.4 |
| Dust2 | 144 | 55% | 1.05 | 15.3 |
| Anubis | 141 | 56% | 1.04 | 15.6 |
| Ancient | 93 | 47% | 1.02 | 16.1 |
| Nuke | 75 | 48% | 1.04 | 16.1 |
| Inferno | 41 | 54% | 1.01 | 14.4 |
| Overpass | 31 | 58% | 0.92 | 14.7 |
| Train | 29 | 41% | 0.96 | 15.1 |
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 30.7553% — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 0–7 | -0.04 | 17% | 17 Aug → | |
| train | 13–10 | 0.00 | 13% | 17 Aug → | |
| train | 13–6 | 0.08 | 28% | 17 Aug → | |
| inferno | 13–11 | -0.06 | 18% | 16 Aug → | |
| dust2 | 10–13 | -0.14 | 0% | 9 Aug → | |
| mirage | 3–13 | 0.05 | 23% | 8 Aug → | |
| vertigo | 13–8 | 0.07 | 13% | 1 Aug → | |
| vertigo | 13–6 | -0.02 | 16% | 1 Aug → | |
| anubis | 9–13 | 0.14 | 21% | 23 Jul → | |
| inferno | 13–16 | -0.03 | 15% | 19 Jul → | |
| mirage | 13–1 | 0.05 | 39% | 19 Jul → | |
| office | 13–4 | 0.15 | 27% | 8 Jul → | |
| office | 8–5 | 0.11 | 38% | 8 Jul → | |
| cache | 9–13 | -0.04 | 16% | 1 Jul → | |
| cache | 9–4 | 0.00 | 32% | 1 Jul → | |
| inferno | 15–12 | -0.01 | 16% | 26 Jun → | |
| train | 13–3 | 0.03 | 10% | 19 Jun → | |
| train | 11–13 | -0.04 | 5% | 19 Jun → | |
| train | 7–13 | -0.08 | 23% | 19 Jun → | |
| train | 7–13 | 0.00 | 25% | 19 Jun → | |
| train | 5–13 | -0.01 | 24% | 17 Jun → | |
| dust2 | 13–10 | 0.00 | 19% | 15 Jun → | |
| mirage | 16–13 | 0.15 | 14% | 6 Jun → | |
| vertigo | 13–5 | 0.02 | 16% | 5 Jun → | |
| vertigo | 13–10 | 0.05 | 28% | 4 Jun → | |
| anubis | 13–7 | 0.05 | 20% | 30 May → | |
| anubis | 8–2 | 0.02 | 11% | 2 Apr → | |
| dust2 | 13–6 | 0.01 | 25% | 30 Mar → | |
| dust2 | 3–7 | -0.08 | 13% | 25 Mar → | |
| anubis | 7–13 | -0.05 | 17% | 22 Mar → | |
| mirage | 6–13 | 0.00 | 13% | 20 Mar → | |
| ancient | 9–1 | 0.01 | 9% | 19 Mar → | |
| office | 13–7 | 0.03 | 37% | 19 Mar → | |
| office | 13–6 | 0.09 | 24% | 19 Mar → | |
| office | 13–1 | 0.02 | 20% | 19 Mar → | |
| overpass | 13–6 | 0.09 | 26% | 12 Mar → | |
| overpass | 13–10 | 0.08 | 24% | 8 Mar → | |
| mirage | 6–13 | -0.03 | 14% | 7 Mar → | |
| inferno | 7–13 | -0.05 | 18% | 7 Mar → | |
| anubis | 12–4 | 0.09 | 24% | 7 Mar → | |
| dust2 | 13–5 | 0.09 | 16% | 6 Mar → | |
| mirage | 10–13 | 0.06 | 14% | 6 Mar → | |
| ancient | 13–5 | -0.04 | 11% | 2 Mar → | |
| mirage | 11–13 | -0.01 | 17% | 1 Mar → | |
| dust2 | 10–13 | 0.03 | 29% | 27 Feb → | |
| mirage | 13–8 | 0.08 | 17% | 27 Feb → | |
| dust2 | 13–1 | 0.07 | 36% | 25 Feb → | |
| anubis | 13–9 | 0.02 | 16% | 25 Feb → | |
| train | 13–3 | 0.07 | 41% | 25 Feb → | |
| train | 13–9 | 0.04 | 22% | 25 Feb → | |
| train | 3–13 | 0.06 | 16% | 25 Feb → | |
| mirage | 10–13 | 0.10 | 23% | 22 Feb → | |
| dust2 | 13–2 | 0.05 | 22% | 22 Feb → | |
| mirage | 11–13 | 0.09 | 17% | 21 Feb → | |
| nuke | 9–13 | 0.06 | 21% | 21 Feb → | |
| vertigo | 13–8 | 0.03 | 29% | 14 Feb → | |
| vertigo | 12–12 | 0.11 | 24% | 14 Feb → | |
| dust2 | 13–0 | 0.13 | 13% | 7 Feb → | |
| nuke | 13–5 | 0.05 | 16% | 7 Feb → | |
| mirage | 13–6 | 0.10 | 19% | 7 Feb → | |
| mirage | 13–2 | -0.04 | 19% | 26 Jan → | |
| dust2 | 16–14 | 0.03 | 15% | 24 Jan → | |
| dust2 | 5–13 | 0.01 | 17% | 24 Jan → | |
| anubis | 7–13 | 0.04 | 12% | 24 Jan → | |
| mirage | 13–2 | 0.11 | 21% | 24 Jan → | |
| mirage | 13–5 | 0.02 | 15% | 24 Jan → | |
| ancient | 13–2 | 0.08 | 10% | 24 Jan → | |
| mirage | 13–7 | -0.05 | 20% | 21 Jan → | |
| mirage | 13–3 | -0.10 | 12% | 21 Jan → | |
| inferno | 1–6 | 0.02 | 29% | 21 Jan → | |
| nuke | 13–9 | 0.03 | 20% | 21 Jan → | |
| mirage | 13–9 | 0.19 | 12% | 21 Jan → | |
| office | 9–2 | 0.00 | 13% | 21 Jan → | |
| nuke | 16–12 | 0.03 | 15% | 19 Jan → | |
| dust2 | 5–13 | -0.04 | 20% | 19 Jan → | |
| dust2 | 13–4 | 0.07 | 19% | 18 Jan → | |
| mirage | 13–4 | -0.01 | 21% | 16 Jan → | |
| dust2 | 13–2 | 0.12 | 15% | 16 Jan → | |
| mirage | 11–3 | -0.01 | 22% | 16 Jan → | |
| overpass | 13–11 | 0.02 | 22% | 14 Jan → | |
| overpass | 13–11 | -0.02 | 26% | 14 Jan → | |
| overpass | 16–13 | 0.03 | 23% | 13 Jan → | |
| overpass | 13–7 | -0.00 | 22% | 12 Jan → | |
| ancient | 13–16 | -0.03 | 13% | 12 Jan → | |
| mirage | 10–13 | 0.11 | 19% | 10 Jan → | |
| dust2 | 7–13 | -0.07 | 8% | 7 Jan → | |
| mirage | 13–1 | 0.19 | 22% | 7 Jan → | |
| train | 13–4 | -0.02 | 15% | 1 Jan → | |
| train | 13–4 | 0.05 | 6% | 1 Jan → | |
| vertigo | 11–13 | -0.02 | 11% | 18 Dec → | |
| vertigo | 9–13 | -0.02 | 20% | 18 Dec → | |
| anubis | 7–13 | 0.05 | 18% | 13 Dec → | |
| anubis | 13–9 | -0.06 | 14% | 13 Dec → | |
| dust2 | 12–16 | -0.08 | 14% | 11 Dec → | |
| office | 13–11 | -0.03 | 17% | 28 Nov → | |
| office | 13–11 | 0.00 | 10% | 28 Nov → | |
| mirage | 13–1 | 0.06 | 23% | 25 Nov → | |
| mirage | 13–0 | 0.15 | 15% | 23 Nov → | |
| nuke | 6–13 | -0.06 | 28% | 21 Nov → | |
| overpass | 12–12 | 0.03 | 17% | 20 Nov → |
Match data via Leetify.