rados — CS2 Stats
76561198228005952[U:1:267740224]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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
Reaction time. 623ms 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 5.3/10 (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 |
|---|---|---|---|---|---|
 inferno | A | 34 | 19–15 | 56% | 0.00 |
 ancient | D | 18 | 6–12 | 33% | 0.02 |
 nuke | B | 14 | 7–7 | 50% | 0.01 |
 mirage | D | 11 | 3–8 | 27% | -0.01 |
 dust2 | C | 9 | 4–5 | 44% | -0.00 |
 overpass | C | 7 | 3–4 | 43% | -0.01 |
 anubis | — | 3 | 2–1 | 67% | 0.02 |
 train | — | 2 | 0–2 | 0% | -0.00 |
 vertigo | — | 1 | 1–0 | 100% | -0.06 |
 cache | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 165 | 50% | 1.14 | 17.3 |
| Ancient | 110 | 47% | 1.03 | 16.6 |
| Nuke | 85 | 51% | 1.09 | 16.9 |
| Overpass | 65 | 60% | 1.30 | 19.7 |
| Mirage | 39 | 38% | 1.00 | 14.8 |
| Anubis | 32 | 41% | 1.11 | 16.6 |
| Train | 27 | 59% | 1.11 | 17.6 |
| Dust2 | 22 | 36% | 0.87 | 13.8 |
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 0.4468 — 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 33.3561% — 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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–10 | -0.00 | 25% | 11 Aug → | |
| inferno | 13–5 | -0.05 | 13% | 11 Aug → | |
| inferno | 11–13 | 0.01 | 18% | 10 Aug → | |
| vertigo | 13–10 | -0.06 | 19% | 10 Aug → | |
| nuke | 13–6 | 0.06 | 30% | 3 Aug → | |
| mirage | 5–13 | -0.01 | 27% | 28 Jul → | |
| inferno | 10–13 | -0.03 | 58% | 12 Jul → | |
| ancient | 13–11 | 0.00 | 19% | 2 Jul → | |
| overpass | 7–13 | -0.02 | 26% | 2 Jul → | |
| nuke | 11–13 | 0.07 | 36% | 2 Jul → | |
| nuke | 3–13 | -0.06 | 29% | 1 Jul → | |
| overpass | 13–4 | 0.00 | 28% | 19 Jun → | |
| nuke | 13–10 | 0.01 | 32% | 12 Jun → | |
| inferno | 13–4 | 0.01 | 32% | 12 Jun → | |
| overpass | 16–13 | 0.03 | 26% | 10 Jun → | |
| inferno | 9–13 | -0.02 | 26% | 5 Jun → | |
| inferno | 13–5 | 0.03 | 30% | 29 May → | |
| cache | 11–13 | -0.03 | 21% | 24 May → | |
| ancient | 11–13 | 0.08 | 20% | 8 May → | |
| dust2 | 7–13 | -0.04 | 29% | 7 May → | |
| overpass | 7–13 | -0.07 | 11% | 6 May → | |
| overpass | 13–11 | 0.00 | 21% | 2 May → | |
| dust2 | 13–11 | -0.03 | 27% | 13 Apr → | |
| nuke | 13–11 | 0.03 | 30% | 12 Apr → | |
| inferno | 1–13 | -0.03 | 29% | 16 Mar → | |
| inferno | 13–9 | 0.04 | 32% | 12 Mar → | |
| dust2 | 7–13 | -0.00 | 35% | 9 Mar → | |
| dust2 | 15–15 | 0.01 | 27% | 9 Mar → | |
| inferno | 13–6 | 0.00 | 26% | 16 Feb → | |
| inferno | 11–13 | 0.00 | 29% | 13 Feb → | |
| ancient | 13–10 | 0.04 | 22% | 4 Feb → | |
| nuke | 8–13 | -0.09 | 32% | 26 Jan → | |
| inferno | 4–13 | -0.06 | 27% | 16 Jan → | |
| inferno | 9–13 | 0.02 | 18% | 13 Jan → | |
| inferno | 13–10 | 0.04 | 25% | 10 Jan → | |
| inferno | 13–3 | 0.03 | 5% | 10 Jan → | |
| train | 11–13 | -0.01 | 24% | 30 Dec → | |
| inferno | 13–10 | 0.01 | 32% | 22 Dec → | |
| inferno | 13–9 | 0.01 | 24% | 22 Dec → | |
| ancient | 7–13 | -0.03 | 28% | 6 Dec → | |
| overpass | 9–13 | -0.04 | 50% | 29 Oct → | |
| dust2 | 13–4 | 0.07 | 23% | 20 Oct → | |
| overpass | 8–13 | -0.01 | 15% | 14 Oct → | |
| ancient | 9–13 | 0.03 | 19% | 28 Jul → | |
| nuke | 13–10 | -0.01 | 26% | 25 Jul → | |
| ancient | 13–16 | -0.07 | 27% | 22 Jul → | |
| inferno | 9–13 | -0.07 | 25% | 21 Jul → | |
| mirage | 13–9 | 0.03 | 21% | 12 Jul → | |
| inferno | 10–13 | -0.01 | 31% | 7 Jul → | |
| inferno | 13–5 | -0.02 | 30% | 6 Jun → | |
| dust2 | 13–8 | -0.01 | 16% | 6 Jun → | |
| ancient | 7–13 | 0.07 | 21% | 4 Jun → | |
| inferno | 4–13 | -0.04 | 21% | 4 Jun → | |
| mirage | 5–13 | -0.05 | 23% | 2 Jun → | |
| nuke | 16–13 | 0.03 | 30% | 2 Jun → | |
| mirage | 3–13 | -0.06 | 25% | 1 Jun → | |
| nuke | 13–2 | 0.13 | 25% | 30 May → | |
| ancient | 13–6 | 0.08 | 28% | 30 May → | |
| nuke | 4–13 | -0.02 | 17% | 29 May → | |
| inferno | 13–11 | -0.00 | 18% | 27 May → | |
| train | 15–15 | 0.01 | 40% | 27 May → | |
| mirage | 6–13 | -0.05 | 25% | 26 May → | |
| inferno | 13–10 | 0.09 | 22% | 26 May → | |
| ancient | 8–13 | -0.07 | 28% | 24 May → | |
| inferno | 13–7 | 0.03 | 22% | 24 May → | |
| anubis | 13–9 | 0.04 | 25% | 24 May → | |
| inferno | 13–11 | 0.04 | 25% | 24 May → | |
| ancient | 13–5 | 0.06 | 29% | 24 May → | |
| mirage | 3–13 | -0.00 | 28% | 24 May → | |
| dust2 | 6–13 | 0.05 | 19% | 24 May → | |
| nuke | 13–9 | 0.06 | 18% | 24 May → | |
| ancient | 10–13 | -0.03 | 20% | 23 May → | |
| mirage | 13–5 | 0.04 | 16% | 23 May → | |
| dust2 | 13–11 | 0.02 | 6% | 22 May → | |
| inferno | 4–13 | 0.02 | 31% | 22 May → | |
| ancient | 7–13 | 0.07 | 24% | 21 May → | |
| inferno | 9–13 | -0.03 | 25% | 21 May → | |
| ancient | 13–4 | 0.08 | 20% | 20 May → | |
| nuke | 6–13 | -0.01 | 17% | 19 May → | |
| anubis | 10–13 | 0.00 | 0% | 18 May → | |
| dust2 | 8–13 | -0.07 | 19% | 17 May → | |
| nuke | 13–16 | 0.01 | 28% | 14 May → | |
| mirage | 6–13 | -0.01 | 16% | 14 May → | |
| inferno | 9–13 | -0.02 | 26% | 13 May → | |
| mirage | 13–5 | 0.06 | 20% | 12 May → | |
| ancient | 2–13 | 0.01 | 15% | 12 May → | |
| ancient | 15–15 | 0.03 | 16% | 10 May → | |
| mirage | 11–13 | 0.03 | 21% | 10 May → | |
| anubis | 13–3 | 0.03 | 20% | 10 May → | |
| nuke | 9–13 | -0.06 | 26% | 10 May → | |
| inferno | 6–13 | -0.03 | 26% | 10 May → | |
| inferno | 13–10 | 0.03 | 31% | 10 May → | |
| inferno | 16–14 | -0.03 | 13% | 10 May → | |
| inferno | 3–8 | 0.00 | 13% | 9 May → | |
| ancient | 11–13 | 0.06 | 17% | 9 May → | |
| inferno | 13–3 | 0.11 | 23% | 9 May → | |
| ancient | 9–13 | -0.00 | 22% | 7 May → | |
| mirage | 4–13 | -0.07 | 19% | 7 May → | |
| ancient | 13–7 | 0.02 | 24% | 5 May → | |
| inferno | 13–11 | 0.02 | 21% | 5 May → |
Match data via Leetify.