new darling — CS2 Stats
CN76561198189661691[U:1:229395963]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side openerLimited utility dependence
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 sh1ro 93% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution.
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
Aim. Aim score of 95 — the mechanical foundation is a clear strength.
CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 69% on CT to 40% 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 7.4/10 (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 |
|---|---|---|---|---|---|
| B | 66 | 30–36 | 45% | 0.05 | |
| office | A | 22 | 12–10 | 55% | 0.05 |
| — | 3 | 2–1 | 67% | 0.01 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 2 | 0–2 | 0% | 0.01 | |
| — | 1 | 0–1 | 0% | 0.04 | |
| — | 1 | 1–0 | 100% | 0.04 | |
| — | 1 | 0–1 | 0% | 0.06 | |
| — | 1 | 1–0 | 100% | -0.04 | |
| fachwerk | — | 1 | 0–1 | 0% | 0.13 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (45% over 66). Start with the 6 essential Dust 2 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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.6861 — below the 4 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | 0.12 | 21% | 23 Aug → | ||
| 13–11 | 0.07 | 23% | 23 Aug → | ||
| 4–13 | 0.02 | 16% | 23 Aug → | ||
| office | 13–8 | 0.03 | 10% | 16 Aug → | |
| 13–9 | 0.04 | 15% | 16 Aug → | ||
| 4–13 | -0.01 | 9% | 15 Aug → | ||
| 8–13 | -0.02 | 16% | 15 Aug → | ||
| office | 12–12 | 0.24 | 42% | 15 Aug → | |
| 11–13 | 0.14 | 26% | 15 Aug → | ||
| 13–4 | 0.10 | 14% | 8 Aug → | ||
| 13–2 | 0.05 | 24% | 8 Aug → | ||
| office | 1–13 | -0.02 | 43% | 8 Aug → | |
| 5–13 | -0.00 | 17% | 8 Aug → | ||
| 13–7 | 0.08 | 25% | 8 Aug → | ||
| 6–13 | 0.03 | 22% | 8 Aug → | ||
| office | 7–13 | 0.04 | 15% | 8 Aug → | |
| 13–6 | 0.18 | 25% | 8 Aug → | ||
| 13–6 | 0.03 | 19% | 5 Aug → | ||
| office | 13–7 | -0.03 | 11% | 5 Aug → | |
| office | 11–13 | -0.00 | 14% | 5 Aug → | |
| office | 13–9 | 0.06 | 18% | 5 Aug → | |
| 1–13 | 0.10 | 23% | 5 Aug → | ||
| 12–12 | -0.01 | 14% | 4 Aug → | ||
| 13–2 | 0.02 | 28% | 4 Aug → | ||
| 13–7 | 0.05 | 24% | 2 Aug → | ||
| 13–4 | 0.08 | 22% | 2 Aug → | ||
| 13–4 | 0.11 | 18% | 2 Aug → | ||
| office | 6–13 | 0.05 | 16% | 2 Aug → | |
| office | 13–8 | 0.05 | 17% | 2 Aug → | |
| office | 13–7 | 0.02 | 19% | 2 Aug → | |
| 13–2 | 0.02 | 21% | 2 Aug → | ||
| office | 5–8 | 0.02 | 26% | 2 Aug → | |
| 3–13 | -0.06 | 16% | 2 Aug → | ||
| 6–13 | -0.01 | 20% | 2 Aug → | ||
| 9–13 | 0.06 | 20% | 1 Aug → | ||
| 13–10 | 0.15 | 26% | 1 Aug → | ||
| 9–13 | -0.03 | 30% | 30 Jul → | ||
| 13–9 | 0.11 | 23% | 30 Jul → | ||
| 2–13 | -0.06 | 7% | 30 Jul → | ||
| 2–13 | -0.04 | 25% | 30 Jul → | ||
| 9–13 | 0.14 | 36% | 29 Jul → | ||
| 12–12 | 0.05 | 28% | 29 Jul → | ||
| 8–2 | 0.06 | 29% | 29 Jul → | ||
| 13–7 | 0.04 | 22% | 29 Jul → | ||
| 13–6 | -0.03 | 3% | 29 Jul → | ||
| 7–13 | 0.03 | 20% | 29 Jul → | ||
| 9–13 | 0.06 | 20% | 26 Jul → | ||
| 12–12 | -0.00 | 36% | 26 Jul → | ||
| 13–3 | -0.03 | 18% | 26 Jul → | ||
| office | 13–10 | 0.07 | 25% | 26 Jul → | |
| 13–4 | 0.14 | 24% | 26 Jul → | ||
| 13–5 | -0.01 | 23% | 26 Jul → | ||
| 5–13 | 0.01 | 18% | 26 Jul → | ||
| 13–8 | 0.15 | 26% | 26 Jul → | ||
| office | 10–13 | 0.10 | 16% | 26 Jul → | |
| 9–13 | 0.00 | 14% | 26 Jul → | ||
| 13–3 | 0.12 | 28% | 25 Jul → | ||
| office | 7–13 | 0.10 | 28% | 25 Jul → | |
| 10–13 | 0.08 | 26% | 25 Jul → | ||
| 13–7 | 0.13 | 34% | 25 Jul → | ||
| 4–13 | -0.04 | 30% | 24 Jul → | ||
| 6–13 | 0.04 | 15% | 24 Jul → | ||
| 10–13 | 0.04 | 25% | 24 Jul → | ||
| 13–4 | 0.04 | 20% | 24 Jul → | ||
| office | 13–7 | 0.05 | 20% | 22 Jul → | |
| 12–12 | 0.06 | 24% | 22 Jul → | ||
| 10–13 | -0.04 | 24% | 21 Jul → | ||
| 13–5 | 0.01 | 22% | 21 Jul → | ||
| 13–4 | 0.07 | 18% | 21 Jul → | ||
| 5–13 | 0.05 | 26% | 21 Jul → | ||
| 6–13 | 0.02 | 29% | 19 Jul → | ||
| 13–8 | 0.10 | 22% | 19 Jul → | ||
| 9–13 | -0.02 | 24% | 18 Jul → | ||
| 10–13 | 0.07 | 37% | 18 Jul → | ||
| 13–2 | 0.15 | 14% | 18 Jul → | ||
| 7–13 | -0.01 | 18% | 18 Jul → | ||
| 6–13 | 0.02 | 29% | 17 Jul → | ||
| office | 12–12 | 0.07 | 20% | 17 Jul → | |
| 13–10 | 0.01 | 17% | 17 Jul → | ||
| office | 13–9 | -0.03 | 21% | 17 Jul → | |
| office | 13–11 | -0.03 | 25% | 17 Jul → | |
| 10–13 | 0.04 | 18% | 17 Jul → | ||
| 13–9 | -0.02 | 18% | 17 Jul → | ||
| office | 13–8 | 0.05 | 22% | 17 Jul → | |
| 2–13 | -0.05 | 16% | 17 Jul → | ||
| office | 13–2 | 0.09 | 16% | 17 Jul → | |
| 11–13 | 0.06 | 21% | 16 Jul → | ||
| 13–11 | -0.04 | 19% | 16 Jul → | ||
| 8–13 | 0.08 | 21% | 13 Jul → | ||
| 6–13 | 0.08 | 18% | 13 Jul → | ||
| 12–12 | 0.03 | 27% | 12 Jul → | ||
| office | 13–8 | 0.10 | 45% | 12 Jul → | |
| 13–10 | 0.10 | 22% | 12 Jul → | ||
| 13–2 | 0.19 | 26% | 12 Jul → | ||
| fachwerk | 12–12 | 0.13 | 25% | 12 Jul → | |
| 13–11 | 0.17 | 34% | 12 Jul → | ||
| office | 12–12 | 0.12 | 30% | 12 Jul → | |
| 7–13 | 0.01 | 37% | 12 Jul → | ||
| 7–13 | 0.03 | 17% | 12 Jul → | ||
| 12–12 | 0.05 | 23% | 11 Jul → |
Match data via Leetify.