Ben Adaephon Delat — CS2 Stats
76561198155407244[U:1:195141516]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 42.2% | 48.1% |
| Shot accuracy | 16.2% | 12.9% |
| Kill/death ratio | 1.10 | 1.08 |
| Match win rate | 42.5% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp 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 NiKo 76% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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. 611ms 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 3.9/10 (Learning), 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 |
|---|---|---|---|---|---|
 inferno | B | 17 | 8–9 | 47% | -0.00 |
 ancient | B | 17 | 9–8 | 53% | -0.00 |
 mirage | C | 16 | 7–9 | 44% | -0.03 |
 nuke | B | 12 | 6–6 | 50% | -0.01 |
 cache | C | 10 | 4–6 | 40% | -0.04 |
 dust2 | A | 10 | 6–4 | 60% | -0.03 |
 anubis | C | 9 | 4–5 | 44% | -0.02 |
 overpass | D | 7 | 1–6 | 14% | -0.03 |
 vertigo | — | 2 | 1–1 | 50% | -0.00 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Overpass 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.
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 0.4525 — 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 25.1273% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–16 | -0.00 | 20% | 26 Aug → | |
| overpass | 4–13 | -0.06 | 15% | 26 Aug → | |
| mirage | 3–13 | -0.06 | 13% | 23 Aug → | |
| inferno | 0–13 | -0.04 | 14% | 23 Aug → | |
| vertigo | 13–6 | -0.00 | 6% | 23 Aug → | |
| inferno | 11–13 | -0.00 | 29% | 20 Aug → | |
| inferno | 9–13 | -0.04 | 26% | 20 Aug → | |
| mirage | 6–13 | -0.02 | 14% | 15 Aug → | |
| vertigo | 8–13 | 0.00 | 23% | 15 Aug → | |
| cache | 10–13 | -0.06 | 22% | 14 Aug → | |
| cache | 13–11 | -0.04 | 31% | 10 Aug → | |
| mirage | 7–13 | -0.01 | 20% | 10 Aug → | |
| ancient | 9–13 | 0.02 | 21% | 10 Aug → | |
| nuke | 10–13 | -0.02 | 14% | 9 Aug → | |
| dust2 | 9–13 | -0.08 | 48% | 9 Aug → | |
| mirage | 10–13 | -0.02 | 16% | 4 Aug → | |
| mirage | 7–13 | -0.07 | 23% | 4 Aug → | |
| nuke | 13–10 | -0.06 | 16% | 4 Aug → | |
| dust2 | 13–11 | -0.03 | 26% | 3 Aug → | |
| mirage | 16–12 | -0.07 | 2% | 26 Jul → | |
| cache | 4–13 | -0.06 | 15% | 22 Jul → | |
| inferno | 14–16 | -0.01 | 19% | 22 Jul → | |
| ancient | 8–13 | -0.08 | 20% | 22 Jul → | |
| dust2 | 13–7 | -0.01 | 43% | 22 Jul → | |
| anubis | 8–13 | -0.01 | 13% | 22 Jul → | |
| cache | 13–11 | -0.00 | 12% | 20 Jul → | |
| nuke | 10–13 | -0.04 | 12% | 20 Jul → | |
| cache | 1–13 | -0.04 | 30% | 20 Jul → | |
| ancient | 13–10 | -0.04 | 16% | 20 Jul → | |
| cache | 3–13 | -0.07 | 18% | 18 Jul → | |
| mirage | 0–13 | -0.07 | 50% | 18 Jul → | |
| ancient | 11–1 | -0.01 | 19% | 17 Jul → | |
| anubis | 1–13 | -0.04 | 23% | 17 Jul → | |
| ancient | 13–4 | 0.02 | 19% | 17 Jul → | |
| mirage | 13–6 | -0.01 | 11% | 16 Jul → | |
| ancient | 13–9 | -0.01 | 10% | 16 Jul → | |
| cache | 5–13 | -0.06 | 24% | 15 Jul → | |
| nuke | 13–9 | -0.00 | 25% | 12 Jul → | |
| inferno | 16–12 | -0.04 | 9% | 12 Jul → | |
| inferno | 9–3 | 0.02 | 22% | 5 Jul → | |
| cache | 13–8 | -0.07 | 2% | 5 Jul → | |
| overpass | 11–13 | 0.03 | 21% | 14 Jun → | |
| inferno | 7–13 | 0.02 | 18% | 14 Jun → | |
| anubis | 13–0 | 0.03 | 14% | 13 Jun → | |
| nuke | 13–8 | 0.09 | 20% | 13 Jun → | |
| mirage | 13–8 | -0.10 | 12% | 12 Jun → | |
| ancient | 15–15 | -0.01 | 24% | 8 Jun → | |
| overpass | 13–10 | -0.00 | 13% | 7 Jun → | |
| nuke | 13–9 | -0.05 | 12% | 7 Jun → | |
| anubis | 7–13 | -0.04 | 26% | 6 Jun → | |
| cache | 5–13 | 0.01 | 26% | 4 Jun → | |
| ancient | 2–6 | 0.02 | 22% | 2 Jun → | |
| anubis | 13–9 | -0.03 | 20% | 2 Jun → | |
| ancient | 13–5 | -0.05 | 11% | 30 May → | |
| anubis | 4–13 | -0.04 | 9% | 24 May → | |
| inferno | 16–14 | 0.02 | 11% | 24 May → | |
| ancient | 13–10 | 0.01 | 5% | 24 May → | |
| inferno | 13–9 | 0.04 | 17% | 24 May → | |
| mirage | 13–9 | -0.05 | 5% | 17 May → | |
| overpass | 8–13 | -0.04 | 9% | 17 May → | |
| nuke | 13–16 | -0.00 | 19% | 15 May → | |
| ancient | 13–11 | -0.05 | 12% | 15 May → | |
| cache | 13–1 | -0.01 | 8% | 15 May → | |
| nuke | 13–8 | -0.02 | 25% | 13 May → | |
| anubis | 1–13 | -0.10 | 31% | 13 May → | |
| mirage | 13–6 | 0.02 | 25% | 13 May → | |
| dust2 | 13–6 | 0.01 | 21% | 13 May → | |
| dust2 | 7–13 | -0.02 | 27% | 13 May → | |
| mirage | 13–9 | -0.01 | 25% | 13 May → | |
| ancient | 13–3 | 0.04 | 17% | 16 Apr → | |
| anubis | 13–4 | 0.05 | 9% | 15 Apr → | |
| inferno | 13–7 | 0.07 | 22% | 15 Apr → | |
| overpass | 15–15 | -0.02 | 8% | 15 Apr → | |
| overpass | 10–13 | -0.05 | 14% | 10 Apr → | |
| nuke | 15–15 | 0.02 | 18% | 28 Mar → | |
| inferno | 16–14 | -0.01 | 14% | 27 Mar → | |
| dust2 | 13–11 | -0.03 | 23% | 25 Mar → | |
| mirage | 13–6 | 0.03 | 21% | 25 Mar → | |
| ancient | 13–11 | 0.01 | 17% | 25 Mar → | |
| nuke | 15–15 | -0.02 | 7% | 23 Mar → | |
| inferno | 11–13 | -0.02 | 11% | 23 Mar → | |
| ancient | 11–13 | 0.04 | 18% | 21 Mar → | |
| inferno | 7–13 | 0.07 | 21% | 21 Mar → | |
| dust2 | 8–13 | -0.05 | 4% | 21 Mar → | |
| dust2 | 13–9 | -0.03 | 6% | 21 Mar → | |
| inferno | 13–6 | 0.04 | 17% | 21 Mar → | |
| inferno | 11–13 | -0.01 | 15% | 20 Mar → | |
| ancient | 15–15 | 0.04 | 19% | 19 Mar → | |
| mirage | 11–13 | -0.01 | 11% | 19 Mar → | |
| mirage | 2–13 | -0.08 | 14% | 19 Mar → | |
| ancient | 15–15 | 0.00 | 13% | 12 Mar → | |
| overpass | 11–13 | -0.07 | 4% | 12 Mar → | |
| nuke | 3–13 | -0.02 | 24% | 12 Mar → | |
| dust2 | 11–13 | -0.05 | 26% | 7 Mar → | |
| nuke | 13–6 | -0.01 | 14% | 6 Mar → | |
| ancient | 8–13 | -0.03 | 18% | 6 Mar → | |
| inferno | 13–9 | -0.09 | 12% | 6 Mar → | |
| anubis | 13–3 | 0.04 | 21% | 5 Mar → | |
| inferno | 4–13 | -0.04 | 18% | 5 Mar → | |
| dust2 | 13–10 | 0.01 | 14% | 1 Mar → |
Match data via Leetify.