STARADICKLER — CS2 Stats
76561198165646527[U:1:205380799]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 93% playstyle similarity
Most alike: opening-duel success, utility contribution.
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 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 582ms 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 6.0/10 (Solid), 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 |
|---|---|---|---|---|---|
 inferno | A | 20 | 11–9 | 55% | 0.00 |
 nuke | D | 18 | 6–12 | 33% | -0.02 |
 dust2 | C | 14 | 6–8 | 43% | 0.01 |
 anubis | B | 12 | 6–6 | 50% | -0.00 |
 ancient | B | 10 | 5–5 | 50% | -0.02 |
 mirage | C | 7 | 3–4 | 43% | -0.03 |
 overpass | D | 6 | 1–5 | 17% | -0.01 |
 cache | A | 5 | 3–2 | 60% | 0.02 |
 train | — | 3 | 2–1 | 67% | 0.00 |
 vertigo | — | 2 | 0–2 | 0% | 0.01 |
| poseidon | — | 1 | 1–0 | 100% | 0.12 |
| office | — | 1 | 1–0 | 100% | 0.05 |
| alpine | — | 1 | 0–1 | 0% | 0.06 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 285 | 49% | 1.13 | 17.0 |
| Nuke | 279 | 57% | 1.14 | 17.3 |
| Dust2 | 250 | 40% | 1.00 | 15.6 |
| Ancient | 228 | 51% | 1.09 | 16.3 |
| Inferno | 217 | 51% | 1.15 | 15.9 |
| Anubis | 175 | 43% | 0.97 | 15.3 |
| Vertigo | 76 | 53% | 1.11 | 16.8 |
| Overpass | 58 | 52% | 1.04 | 15.9 |
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 26.9839% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 13–9 | -0.01 | 18% | 29 Aug → | |
| dust2 | 5–13 | -0.01 | 41% | 26 Aug → | |
| dust2 | 9–13 | 0.02 | 21% | 23 Aug → | |
| nuke | 10–13 | -0.04 | 21% | 23 Aug → | |
| vertigo | 5–13 | 0.04 | 18% | 23 Aug → | |
| ancient | 13–8 | 0.02 | 24% | 23 Aug → | |
| ancient | 13–9 | -0.04 | 29% | 22 Aug → | |
| inferno | 13–10 | -0.01 | 30% | 22 Aug → | |
| dust2 | 16–13 | 0.01 | 38% | 22 Aug → | |
| nuke | 8–13 | -0.07 | 35% | 22 Aug → | |
| inferno | 13–3 | 0.12 | 30% | 22 Aug → | |
| nuke | 7–13 | -0.04 | 26% | 21 Aug → | |
| nuke | 13–10 | -0.03 | 19% | 21 Aug → | |
| inferno | 16–14 | 0.04 | 27% | 21 Aug → | |
| cache | 6–13 | -0.07 | 42% | 21 Aug → | |
| dust2 | 13–7 | -0.04 | 22% | 20 Aug → | |
| dust2 | 9–13 | 0.19 | 24% | 19 Aug → | |
| nuke | 13–6 | -0.04 | 16% | 31 Jul → | |
| inferno | 13–9 | -0.05 | 32% | 30 Jul → | |
| anubis | 9–13 | 0.02 | 18% | 30 Jul → | |
| poseidon | 9–3 | 0.12 | 15% | 30 Jul → | |
| nuke | 4–9 | -0.25 | 7% | 30 Jul → | |
| mirage | 13–8 | -0.02 | 14% | 29 Jul → | |
| nuke | 8–8 | 0.08 | 20% | 29 Jul → | |
| inferno | 14–16 | -0.06 | 26% | 27 Jul → | |
| inferno | 10–13 | -0.00 | 21% | 23 Jul → | |
| dust2 | 8–13 | -0.01 | 14% | 23 Jul → | |
| nuke | 9–13 | 0.05 | 32% | 22 Jul → | |
| ancient | 12–16 | 0.01 | 35% | 22 Jul → | |
| dust2 | 16–14 | 0.06 | 22% | 22 Jul → | |
| inferno | 13–11 | -0.02 | 36% | 22 Jul → | |
| inferno | 17–19 | 0.03 | 21% | 22 Jul → | |
| ancient | 8–13 | -0.01 | 18% | 22 Jul → | |
| anubis | 9–13 | -0.06 | 24% | 21 Jul → | |
| mirage | 5–13 | 0.01 | 24% | 19 Jul → | |
| inferno | 11–13 | 0.01 | 31% | 16 Jul → | |
| mirage | 8–13 | -0.00 | 41% | 15 Jul → | |
| nuke | 13–5 | 0.03 | 22% | 15 Jul → | |
| cache | 9–13 | -0.07 | 30% | 14 Jul → | |
| inferno | 9–13 | 0.05 | 32% | 11 Jul → | |
| anubis | 13–5 | 0.12 | 19% | 16 Jun → | |
| mirage | 13–9 | -0.05 | 8% | 16 Jun → | |
| cache | 13–6 | 0.11 | 32% | 16 Jun → | |
| overpass | 10–13 | -0.07 | 18% | 16 Jun → | |
| office | 13–10 | 0.05 | 30% | 15 Jun → | |
| cache | 13–6 | 0.14 | 38% | 15 Jun → | |
| train | 12–12 | 0.03 | 35% | 15 Jun → | |
| nuke | 5–13 | 0.01 | 19% | 15 Jun → | |
| overpass | 12–0 | 0.27 | 20% | 15 Jun → | |
| anubis | 0–13 | -0.08 | 10% | 14 Jun → | |
| overpass | 7–13 | -0.11 | 13% | 13 Jun → | |
| nuke | 9–13 | 0.04 | 21% | 13 Jun → | |
| nuke | 6–13 | -0.02 | 22% | 9 Jun → | |
| anubis | 13–11 | 0.01 | 23% | 9 Jun → | |
| dust2 | 5–13 | -0.02 | 25% | 9 Jun → | |
| mirage | 7–13 | 0.00 | 41% | 5 Jun → | |
| dust2 | 13–3 | 0.12 | 14% | 5 Jun → | |
| inferno | 13–3 | 0.05 | 27% | 5 Jun → | |
| nuke | 10–13 | -0.06 | 34% | 1 Jun → | |
| ancient | 10–13 | -0.04 | 23% | 1 Jun → | |
| train | 13–3 | -0.01 | 18% | 10 May → | |
| ancient | 2–13 | 0.01 | 25% | 10 May → | |
| cache | 13–3 | -0.02 | 13% | 10 May → | |
| overpass | 6–13 | -0.05 | 19% | 9 May → | |
| anubis | 10–13 | -0.03 | 16% | 8 May → | |
| nuke | 9–7 | -0.05 | 13% | 6 Apr → | |
| inferno | 9–6 | 0.01 | 24% | 6 Apr → | |
| nuke | 9–13 | 0.04 | 26% | 4 Apr → | |
| ancient | 13–10 | 0.01 | 36% | 31 Mar → | |
| anubis | 16–14 | -0.03 | 5% | 30 Mar → | |
| inferno | 9–13 | -0.01 | 24% | 29 Mar → | |
| anubis | 7–13 | -0.01 | 38% | 15 Mar → | |
| mirage | 13–7 | -0.02 | 40% | 15 Mar → | |
| ancient | 0–13 | -0.11 | 20% | 15 Mar → | |
| dust2 | 4–13 | -0.06 | 31% | 15 Mar → | |
| anubis | 12–12 | 0.05 | 26% | 14 Mar → | |
| inferno | 10–13 | -0.04 | 39% | 14 Mar → | |
| dust2 | 13–11 | 0.00 | 24% | 14 Mar → | |
| vertigo | 12–12 | -0.01 | 20% | 11 Mar → | |
| dust2 | 3–13 | -0.08 | 22% | 11 Mar → | |
| overpass | 9–13 | -0.03 | 16% | 10 Mar → | |
| inferno | 4–13 | -0.00 | 28% | 8 Mar → | |
| inferno | 9–5 | 0.04 | 16% | 7 Mar → | |
| overpass | 9–13 | -0.04 | 12% | 6 Mar → | |
| inferno | 13–7 | -0.01 | 24% | 5 Mar → | |
| inferno | 8–13 | -0.01 | 46% | 5 Mar → | |
| mirage | 5–13 | -0.10 | 0% | 5 Mar → | |
| train | 13–3 | -0.02 | 41% | 5 Mar → | |
| inferno | 5–0 | -0.09 | 0% | 5 Mar → | |
| anubis | 13–7 | -0.02 | 17% | 5 Mar → | |
| ancient | 13–11 | -0.01 | 26% | 3 Mar → | |
| ancient | 19–17 | 0.00 | 14% | 1 Mar → | |
| nuke | 13–5 | 0.08 | 59% | 1 Mar → | |
| dust2 | 11–6 | 0.01 | 50% | 1 Mar → | |
| inferno | 13–7 | -0.03 | 23% | 28 Feb → | |
| nuke | 16–12 | 0.01 | 30% | 28 Feb → | |
| nuke | 2–13 | -0.10 | 19% | 28 Feb → | |
| anubis | 13–3 | 0.01 | 23% | 28 Feb → | |
| dust2 | 8–13 | 0.00 | 21% | 27 Feb → | |
| alpine | 8–13 | 0.06 | 43% | 24 Feb → |
Match data via Leetify.
