Malivello — CS2 Stats
76561198853451488[U:1:893185760]Steam profile ↗
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: +0pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerEffective flashesReliable in 1v1s
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 jL 95% playstyle similarity
Most alike: utility contribution, opening-duel success.
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 58% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
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 6.5/10 (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 |
|---|---|---|---|---|---|
| C | 33 | 13–20 | 39% | 0.02 | |
| A | 25 | 15–10 | 60% | 0.02 | |
| D | 22 | 7–15 | 32% | 0.01 | |
| A | 8 | 5–3 | 63% | 0.01 | |
| S | 8 | 6–2 | 75% | 0.03 | |
| — | 2 | 0–2 | 0% | -0.00 | |
| — | 2 | 1–1 | 50% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (32% over 22). 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 14 | 50% | 1.25 | 19.9 |
| Anubis | 6 | 33% | 0.89 | 15.3 |
| Ancient | 6 | 67% | 1.20 | 17.2 |
| Nuke | 5 | 100% | 1.88 | 22.0 |
| Dust2 | 5 | 100% | 1.44 | 18.8 |
| Inferno | 4 | 50% | 1.23 | 19.8 |
| Overpass | 3 | 67% | 3.20 | 15.0 |
| Vertigo | 1 | 0% | 1.06 | 19.0 |
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 34.0911% — 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.
32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | -0.01 | 13% | 27 Aug → | ||
| 1–13 | -0.03 | 18% | 27 Aug → | ||
| 3–13 | -0.02 | 8% | 27 Aug → | ||
| 9–13 | 0.03 | 21% | 27 Aug → | ||
| 9–13 | 0.07 | 19% | 26 Aug → | ||
| 8–13 | -0.01 | 15% | 26 Aug → | ||
| 13–10 | 0.03 | 19% | 26 Aug → | ||
| 16–12 | 0.07 | 32% | 26 Aug → | ||
| 7–13 | 0.02 | 25% | 26 Aug → | ||
| 13–4 | 0.06 | 22% | 26 Aug → | ||
| 12–12 | 0.03 | 21% | 25 Aug → | ||
| 13–8 | 0.05 | 15% | 25 Aug → | ||
| 13–6 | 0.06 | 31% | 24 Aug → | ||
| 7–13 | 0.05 | 14% | 24 Aug → | ||
| 12–12 | 0.08 | 24% | 24 Aug → | ||
| 9–13 | -0.01 | 14% | 24 Aug → | ||
| 3–13 | -0.04 | 33% | 24 Aug → | ||
| 13–4 | -0.00 | 21% | 24 Aug → | ||
| 2–13 | -0.04 | 10% | 23 Aug → | ||
| 13–10 | 0.02 | 33% | 23 Aug → | ||
| 13–0 | 0.07 | 41% | 23 Aug → | ||
| 7–13 | 0.03 | 22% | 23 Aug → | ||
| 13–10 | 0.01 | 28% | 23 Aug → | ||
| 4–13 | -0.06 | 16% | 23 Aug → | ||
| 13–11 | -0.01 | 41% | 23 Aug → | ||
| 6–13 | 0.04 | 21% | 22 Aug → | ||
| 6–13 | -0.01 | 33% | 22 Aug → | ||
| 13–5 | 0.02 | 20% | 16 Aug → | ||
| 13–8 | -0.06 | 13% | 16 Aug → | ||
| 8–13 | -0.01 | 23% | 15 Aug → | ||
| 11–13 | 0.03 | 27% | 15 Aug → | ||
| 13–8 | 0.02 | 11% | 13 Aug → | ||
| 13–5 | 0.06 | 20% | 13 Aug → | ||
| 11–13 | 0.04 | 24% | 13 Aug → | ||
| 13–9 | 0.08 | 11% | 13 Aug → | ||
| 5–13 | -0.03 | 24% | 13 Aug → | ||
| 13–5 | 0.01 | 27% | 13 Aug → | ||
| 13–7 | 0.01 | 29% | 12 Aug → | ||
| 13–11 | 0.09 | 28% | 12 Aug → | ||
| 5–13 | 0.00 | 15% | 12 Aug → | ||
| 6–13 | -0.01 | 18% | 12 Aug → | ||
| 13–10 | -0.01 | 15% | 10 Aug → | ||
| 4–13 | -0.02 | 31% | 10 Aug → | ||
| 13–8 | 0.01 | 17% | 6 Aug → | ||
| 11–13 | 0.04 | 25% | 6 Aug → | ||
| 7–13 | 0.08 | 24% | 6 Aug → | ||
| 13–2 | 0.15 | 15% | 6 Aug → | ||
| 5–13 | -0.01 | 19% | 6 Aug → | ||
| 13–6 | 0.11 | 24% | 5 Aug → | ||
| 5–13 | -0.06 | 30% | 5 Aug → | ||
| 12–12 | 0.12 | 29% | 5 Aug → | ||
| 6–13 | 0.00 | 41% | 5 Aug → | ||
| 1–13 | -0.14 | 27% | 5 Aug → | ||
| 5–13 | -0.07 | 27% | 4 Aug → | ||
| 13–5 | 0.12 | 23% | 4 Aug → | ||
| 16–13 | 0.05 | 21% | 4 Aug → | ||
| 12–12 | -0.02 | 27% | 4 Aug → | ||
| 13–4 | 0.03 | 42% | 4 Aug → | ||
| 13–8 | 0.07 | 31% | 4 Aug → | ||
| 13–7 | -0.05 | 23% | 3 Aug → | ||
| 8–13 | 0.00 | 15% | 3 Aug → | ||
| 1–13 | -0.07 | 9% | 3 Aug → | ||
| 13–6 | -0.02 | 21% | 3 Aug → | ||
| 16–13 | 0.05 | 26% | 3 Aug → | ||
| 6–2 | -0.01 | 30% | 3 Aug → | ||
| 4–13 | -0.02 | 17% | 31 Jul → | ||
| 10–13 | -0.01 | 43% | 31 Jul → | ||
| 10–13 | 0.05 | 32% | 31 Jul → | ||
| 13–6 | 0.02 | 27% | 31 Jul → | ||
| 16–13 | 0.03 | 38% | 31 Jul → | ||
| 13–8 | 0.04 | 23% | 30 Jul → | ||
| 5–13 | -0.02 | 13% | 30 Jul → | ||
| 3–13 | -0.02 | 20% | 29 Jul → | ||
| 13–11 | -0.00 | 42% | 29 Jul → | ||
| 13–6 | 0.04 | 29% | 29 Jul → | ||
| 13–8 | -0.04 | 21% | 24 Jul → | ||
| 13–3 | 0.05 | 33% | 24 Jul → | ||
| 10–13 | -0.00 | 26% | 18 Jul → | ||
| 3–0 | 0.13 | 80% | 18 Jul → | ||
| 13–4 | 0.03 | 29% | 18 Jul → | ||
| 13–10 | 0.10 | 42% | 18 Jul → | ||
| 9–13 | 0.03 | 26% | 12 Jul → | ||
| 14–16 | -0.02 | 18% | 12 Jul → | ||
| 13–11 | 0.01 | 26% | 12 Jul → | ||
| 13–10 | 0.03 | 25% | 8 Jul → | ||
| 7–13 | -0.02 | 26% | 8 Jul → | ||
| 10–13 | 0.01 | 22% | 6 Jul → | ||
| 7–13 | -0.01 | 27% | 6 Jul → | ||
| 12–12 | -0.01 | 22% | 6 Jul → | ||
| 13–3 | -0.02 | 39% | 6 Jul → | ||
| 16–14 | 0.06 | 9% | 6 Jul → | ||
| 1–13 | -0.06 | 15% | 6 Jul → | ||
| 11–13 | 0.05 | 28% | 5 Jul → | ||
| 13–11 | 0.04 | 17% | 5 Jul → | ||
| 9–13 | -0.01 | 21% | 5 Jul → | ||
| 13–11 | -0.03 | 23% | 5 Jul → | ||
| 8–13 | 0.09 | 29% | 5 Jul → | ||
| 8–13 | -0.00 | 29% | 5 Jul → | ||
| 6–13 | -0.03 | 21% | 5 Jul → | ||
| 4–13 | 0.01 | 12% | 3 Jul → |
Match data via Leetify.