Silver duck — CS2 Stats
76561199184867895[U:1:1224602167]
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 37.3% | 40.1% | 41.7% | 4.4% short |
| Shot accuracy | 7.1% | 7.6% | 8.8% | 1.7% short |
| Kill/death ratio | 0.80 | 0.92 | 0.97 | 0.17 short |
| Match win rate | 41.6% | 42.2% | 43.8% | 2.2% short |
This profile sits below the typical Blue band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited 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 b1t 84% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 573ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| C | 22 | 8–14 | 36% | -0.03 | |
| A | 18 | 10–8 | 56% | -0.00 | |
| B | 15 | 7–8 | 47% | -0.02 | |
| B | 13 | 6–7 | 46% | -0.01 | |
| B | 10 | 5–5 | 50% | -0.02 | |
| C | 10 | 4–6 | 40% | -0.02 | |
| D | 6 | 2–4 | 33% | -0.05 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.06 | |
| debris | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient 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 0.3934 — 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 39.953% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–9 | -0.08 | 19% | 28 Aug → | ||
| 5–9 | 0.06 | 24% | 28 Aug → | ||
| 13–3 | 0.08 | 11% | 28 Aug → | ||
| 11–13 | -0.03 | 24% | 28 Aug → | ||
| 6–13 | -0.06 | 10% | 27 Aug → | ||
| 13–6 | -0.04 | 9% | 27 Aug → | ||
| 9–13 | -0.06 | 19% | 27 Aug → | ||
| 13–10 | -0.03 | 18% | 26 Aug → | ||
| 13–2 | 0.02 | 18% | 26 Aug → | ||
| 13–11 | -0.05 | 13% | 26 Aug → | ||
| 5–13 | -0.06 | 16% | 25 Aug → | ||
| 13–9 | -0.01 | 4% | 25 Aug → | ||
| 11–13 | -0.04 | 34% | 24 Aug → | ||
| 13–5 | -0.07 | 11% | 24 Aug → | ||
| 9–13 | -0.01 | 19% | 24 Aug → | ||
| 9–7 | 0.01 | 33% | 24 Aug → | ||
| 8–13 | -0.00 | 26% | 24 Aug → | ||
| 6–13 | -0.07 | 16% | 24 Aug → | ||
| 13–8 | 0.00 | 21% | 23 Aug → | ||
| 13–11 | 0.07 | 21% | 23 Aug → | ||
| 13–10 | -0.05 | 7% | 23 Aug → | ||
| 9–6 | 0.04 | 26% | 23 Aug → | ||
| 7–13 | -0.04 | 7% | 23 Aug → | ||
| 9–4 | 0.04 | 0% | 22 Aug → | ||
| debris | 4–9 | -0.03 | 31% | 22 Aug → | |
| 9–4 | 0.17 | 18% | 22 Aug → | ||
| 9–2 | 0.20 | 17% | 22 Aug → | ||
| 8–8 | -0.01 | 14% | 22 Aug → | ||
| 9–2 | 0.12 | 10% | 22 Aug → | ||
| 13–2 | 0.07 | 16% | 22 Aug → | ||
| 11–13 | 0.01 | 15% | 22 Aug → | ||
| 14–16 | -0.02 | 14% | 22 Aug → | ||
| 2–13 | -0.06 | 28% | 22 Aug → | ||
| 9–13 | 0.02 | 19% | 22 Aug → | ||
| 15–15 | -0.02 | 16% | 22 Aug → | ||
| 13–10 | 0.03 | 18% | 21 Aug → | ||
| 2–7 | 0.00 | 17% | 21 Aug → | ||
| 6–13 | -0.04 | 16% | 20 Aug → | ||
| 13–8 | 0.00 | 24% | 20 Aug → | ||
| 11–13 | -0.01 | 7% | 20 Aug → | ||
| 4–13 | -0.08 | 7% | 20 Aug → | ||
| 4–13 | -0.11 | 14% | 20 Aug → | ||
| 3–13 | -0.09 | 11% | 20 Aug → | ||
| 13–10 | 0.05 | 18% | 20 Aug → | ||
| 8–13 | -0.06 | 9% | 19 Aug → | ||
| 13–11 | -0.04 | 11% | 19 Aug → | ||
| 13–8 | 0.04 | 7% | 16 Aug → | ||
| 5–9 | -0.12 | 11% | 16 Aug → | ||
| 8–13 | -0.00 | 14% | 15 Aug → | ||
| 13–10 | -0.07 | 8% | 14 Aug → | ||
| 7–13 | -0.09 | 24% | 12 Aug → | ||
| 10–13 | -0.07 | 9% | 11 Aug → | ||
| 13–8 | -0.03 | 22% | 11 Aug → | ||
| 13–11 | -0.03 | 10% | 11 Aug → | ||
| 13–3 | -0.03 | 33% | 11 Aug → | ||
| 5–13 | -0.08 | 6% | 10 Aug → | ||
| 13–6 | 0.08 | 0% | 10 Aug → | ||
| 8–13 | -0.07 | 15% | 4 Aug → | ||
| 4–13 | -0.05 | 7% | 3 Aug → | ||
| 6–13 | -0.02 | 26% | 3 Aug → | ||
| 10–13 | -0.03 | 10% | 26 Jul → | ||
| 13–3 | -0.03 | 13% | 26 Jul → | ||
| 13–2 | 0.01 | 30% | 21 Jul → | ||
| 13–2 | -0.03 | 8% | 20 Jul → | ||
| 5–13 | -0.03 | 11% | 18 Jul → | ||
| 6–13 | 0.00 | 0% | 18 Jul → | ||
| 13–8 | 0.03 | 12% | 12 Jul → | ||
| 5–13 | -0.09 | 13% | 11 Jul → | ||
| 9–13 | -0.07 | 36% | 5 Jul → | ||
| 13–3 | -0.08 | 40% | 2 Jul → | ||
| 6–13 | -0.02 | 11% | 2 Jul → | ||
| 13–6 | -0.04 | 11% | 1 Jul → | ||
| 8–13 | -0.01 | 11% | 1 Jul → | ||
| 5–13 | -0.05 | 40% | 30 Jun → | ||
| 13–11 | 0.01 | 11% | 25 Jun → | ||
| 13–9 | -0.03 | 11% | 24 Jun → | ||
| 13–0 | 0.00 | 0% | 24 Jun → | ||
| 11–13 | 0.01 | 22% | 22 Jun → | ||
| 13–2 | 0.09 | 22% | 15 Jun → | ||
| 13–3 | -0.04 | 18% | 15 Jun → | ||
| 10–13 | 0.01 | 16% | 10 Jun → | ||
| 9–13 | -0.08 | 5% | 8 Jun → | ||
| 13–9 | -0.05 | 21% | 8 Jun → | ||
| 0–2 | -0.11 | 0% | 2 Jun → | ||
| 14–16 | -0.00 | 9% | 2 Jun → | ||
| 13–11 | 0.01 | 16% | 1 Jun → | ||
| 9–13 | -0.06 | 10% | 1 Jun → | ||
| 11–13 | -0.04 | 13% | 1 Jun → | ||
| 13–1 | 0.05 | 31% | 1 Jun → | ||
| 11–13 | -0.04 | 9% | 1 Jun → | ||
| 13–9 | 0.01 | 17% | 31 May → | ||
| 2–13 | -0.04 | 17% | 31 May → | ||
| 6–13 | -0.08 | 6% | 31 May → | ||
| 13–7 | -0.00 | 9% | 31 May → | ||
| 13–6 | 0.03 | 21% | 30 May → | ||
| 7–13 | -0.04 | 14% | 30 May → | ||
| 13–4 | 0.01 | 17% | 30 May → | ||
| 2–13 | -0.04 | 14% | 30 May → | ||
| 5–13 | -0.01 | 17% | 29 May → | ||
| 6–13 | -0.08 | 11% | 29 May → |
Match data via Leetify.