Darling — CS2 Stats
KR76561198969965038[U:1:1009699310]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 | Level 10 median |
|---|---|---|
| Headshot rate | 56.7% | 51.9% |
| Shot accuracy | 14.8% | 13.7% |
| Kill/death ratio | 1.23 | 1.08 |
| Match win rate | 51.4% | 48.7% |
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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
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerEffective flashes
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 device 94% playstyle similarity
Most alike: utility contribution, positioning profile.
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
Strengths
CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.83 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 66% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 566ms 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 7.0/10 (Strong), 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 |
|---|---|---|---|---|---|
 mirage | A | 47 | 27–20 | 57% | 0.02 |
 inferno | S | 15 | 10–5 | 67% | 0.00 |
 ancient | S | 12 | 9–3 | 75% | 0.02 |
 anubis | S | 7 | 6–1 | 86% | 0.02 |
 dust2 | S | 6 | 5–1 | 83% | 0.05 |
 train | S | 5 | 4–1 | 80% | 0.05 |
 vertigo | — | 3 | 1–2 | 33% | -0.05 |
 overpass | — | 3 | 2–1 | 67% | 0.04 |
 nuke | — | 2 | 1–1 | 50% | 0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (57% over 47). Start with the 6 essential Mirage 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.
- 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 33.3543% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 5–13 | 0.02 | 25% | 30 May → | |
| inferno | 11–13 | 0.05 | 25% | 24 May → | |
| mirage | 13–3 | 0.10 | 32% | 13 Mar → | |
| mirage | 13–10 | -0.08 | 21% | 5 Mar → | |
| anubis | 9–13 | 0.01 | 26% | 4 Mar → | |
| mirage | 13–11 | -0.02 | 22% | 3 Mar → | |
| anubis | 13–11 | 0.04 | 38% | 23 Feb → | |
| dust2 | 12–16 | 0.00 | 17% | 19 Feb → | |
| dust2 | 13–2 | 0.05 | 24% | 19 Feb → | |
| ancient | 13–1 | 0.12 | 34% | 19 Feb → | |
| mirage | 13–2 | 0.08 | 22% | 19 Feb → | |
| inferno | 13–5 | -0.02 | 28% | 19 Feb → | |
| anubis | 13–10 | -0.04 | 17% | 19 Feb → | |
| inferno | 11–13 | 0.01 | 25% | 18 Feb → | |
| mirage | 13–4 | 0.04 | 23% | 18 Feb → | |
| anubis | 13–4 | 0.09 | 29% | 18 Feb → | |
| mirage | 16–12 | 0.06 | 30% | 18 Feb → | |
| mirage | 13–5 | 0.08 | 44% | 18 Feb → | |
| mirage | 16–13 | 0.01 | 33% | 15 Feb → | |
| dust2 | 13–0 | 0.09 | 41% | 15 Feb → | |
| mirage | 2–13 | -0.08 | 14% | 15 Feb → | |
| mirage | 13–0 | 0.00 | 100% | 15 Feb → | |
| dust2 | 13–1 | 0.12 | 77% | 15 Feb → | |
| ancient | 13–1 | 0.11 | 29% | 15 Feb → | |
| nuke | 13–8 | 0.03 | 21% | 15 Feb → | |
| ancient | 13–10 | 0.08 | 29% | 15 Feb → | |
| anubis | 13–6 | -0.05 | 29% | 15 Feb → | |
| inferno | 13–1 | 0.02 | 25% | 15 Feb → | |
| mirage | 13–3 | 0.05 | 69% | 15 Feb → | |
| mirage | 13–3 | 0.15 | 36% | 15 Feb → | |
| mirage | 8–13 | -0.02 | 26% | 13 Feb → | |
| inferno | 13–3 | 0.05 | 22% | 13 Feb → | |
| ancient | 13–6 | 0.04 | 31% | 13 Feb → | |
| ancient | 13–7 | -0.00 | 25% | 13 Feb → | |
| mirage | 13–3 | -0.04 | 22% | 13 Feb → | |
| inferno | 13–7 | -0.04 | 59% | 8 Dec → | |
| mirage | 13–1 | 0.05 | 35% | 8 Dec → | |
| inferno | 8–13 | -0.09 | 13% | 1 Dec → | |
| mirage | 15–15 | 0.02 | 30% | 21 Nov → | |
| mirage | 13–16 | 0.02 | 30% | 18 Nov → | |
| ancient | 16–13 | -0.03 | 16% | 9 Nov → | |
| inferno | 6–13 | -0.04 | 19% | 9 Nov → | |
| mirage | 0–3 | -0.12 | 0% | 9 Nov → | |
| mirage | 13–3 | 0.05 | 33% | 9 Nov → | |
| ancient | 13–10 | -0.03 | 35% | 9 Nov → | |
| mirage | 7–13 | 0.09 | 35% | 1 Nov → | |
| dust2 | 13–7 | 0.03 | 38% | 27 Oct → | |
| mirage | 13–11 | 0.05 | 24% | 26 Oct → | |
| mirage | 13–5 | 0.06 | 25% | 8 Oct → | |
| inferno | 13–4 | 0.06 | 24% | 25 Sept → | |
| train | 5–13 | -0.04 | 25% | 25 Sept → | |
| mirage | 2–8 | -0.09 | 50% | 20 Mar → | |
| mirage | 2–13 | -0.02 | 33% | 16 Mar → | |
| mirage | 13–5 | -0.03 | 29% | 13 Mar → | |
| mirage | 6–0 | 0.00 | 0% | 12 Mar → | |
| ancient | 13–3 | 0.03 | 43% | 11 Mar → | |
| mirage | 10–13 | -0.07 | 27% | 9 Mar → | |
| anubis | 13–6 | -0.02 | 7% | 9 Mar → | |
| mirage | 16–14 | 0.00 | 29% | 2 Feb → | |
| ancient | 7–13 | 0.01 | 31% | 29 Nov → | |
| train | 13–9 | 0.06 | 34% | 17 Nov → | |
| train | 13–2 | 0.11 | 39% | 16 Nov → | |
| train | 13–7 | 0.03 | 33% | 15 Nov → | |
| train | 13–10 | 0.09 | 45% | 15 Nov → | |
| nuke | 11–13 | 0.00 | 30% | 17 Oct → | |
| mirage | 6–13 | 0.11 | 34% | 5 Oct → | |
| dust2 | 13–5 | 0.01 | 21% | 3 Oct → | |
| mirage | 9–13 | 0.10 | 25% | 31 Aug → | |
| mirage | 8–13 | -0.20 | 0% | 19 Aug → | |
| mirage | 3–13 | -0.02 | 28% | 22 Jun → | |
| mirage | 8–13 | 0.12 | 32% | 18 Jun → | |
| vertigo | 13–3 | 0.06 | 44% | 2 May → | |
| inferno | 13–6 | 0.04 | 26% | 1 May → | |
| overpass | 13–3 | 0.19 | 28% | 22 Apr → | |
| mirage | 13–6 | 0.10 | 31% | 13 Apr → | |
| inferno | 13–3 | 0.06 | 39% | 9 Apr → | |
| mirage | 13–1 | 0.09 | 33% | 9 Apr → | |
| mirage | 13–5 | 0.04 | 35% | 21 Mar → | |
| mirage | 8–3 | 0.17 | 38% | 9 Mar → | |
| vertigo | 1–9 | -0.28 | 7% | 29 Feb → | |
| anubis | 13–3 | 0.10 | 43% | 21 Feb → | |
| overpass | 11–13 | -0.14 | 50% | 7 Feb → | |
| mirage | 13–5 | -0.01 | 35% | 13 Jan → | |
| mirage | 9–13 | 0.02 | 28% | 13 Jan → | |
| overpass | 13–6 | 0.06 | 23% | 25 Dec → | |
| mirage | 6–13 | -0.02 | 17% | 13 Dec → | |
| ancient | 5–13 | -0.07 | 24% | 12 Nov → | |
| mirage | 8–13 | -0.02 | 33% | 17 Sept → | |
| mirage | 9–13 | 0.01 | 23% | 16 Sept → | |
| ancient | 16–12 | 0.01 | 21% | 13 Sept → | |
| inferno | 10–16 | -0.01 | 27% | 13 Sept → | |
| mirage | 7–13 | -0.05 | 16% | 10 Sept → | |
| mirage | 13–0 | 0.25 | 25% | 10 Sept → | |
| inferno | 16–13 | -0.03 | 36% | 9 Sept → | |
| inferno | 16–12 | 0.01 | 25% | 9 Sept → | |
| ancient | 5–13 | -0.05 | 29% | 9 Sept → | |
| mirage | 13–5 | 0.06 | 35% | 9 Sept → | |
| mirage | 13–6 | 0.10 | 34% | 8 Sept → | |
| vertigo | 15–15 | 0.08 | 21% | 7 Sept → | |
| inferno | 13–8 | -0.05 | 38% | 7 Sept → |
Match data via Leetify.