Daffy Duck — CS2 Stats
76561198423105042[U:1:462839314]✓ No bans
How this compares with the same rank
Median values for Grey band among CSDB-tracked players (n=369), 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 | Grey band median | Light Blue band median | vs Light Blue band |
|---|---|---|---|---|
| Headshot rate | 46.2% | 37.5% | 39.7% | above |
| Shot accuracy | 0.0% | 4.5% | 6.7% | 6.7% short |
| Kill/death ratio | 0.47 | 0.82 | 0.91 | 0.43 short |
| Match win rate | 32.9% | 39.1% | 42.1% | 9.2% short |
This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Light 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: +40pp win rate · +0.04 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 56% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: lower opening-fight frequency; 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. 688ms 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 2.4/10 (Learning), 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 |
|---|---|---|---|---|---|
 nuke | A | 20 | 11–9 | 55% | -0.06 |
 inferno | D | 15 | 4–11 | 27% | -0.06 |
 dust2 | D | 13 | 2–11 | 15% | -0.06 |
 vertigo | C | 9 | 4–5 | 44% | -0.04 |
 mirage | D | 8 | 0–8 | 0% | -0.06 |
 overpass | C | 8 | 3–5 | 38% | -0.06 |
 cache | D | 7 | 2–5 | 29% | -0.06 |
 anubis | D | 6 | 2–4 | 33% | -0.08 |
 train | A | 5 | 3–2 | 60% | -0.03 |
 ancient | — | 4 | 0–4 | 0% | -0.08 |
| office | — | 3 | 1–2 | 33% | -0.08 |
| warden | — | 1 | 0–1 | 0% | -0.09 |
| agency | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (0% over 8). 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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.1185° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.1512% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–8 | -0.02 | 6% | 30 Aug → | |
| mirage | 10–13 | -0.00 | 24% | 30 Aug → | |
| nuke | 13–8 | -0.04 | 2% | 26 Aug → | |
| nuke | 3–13 | -0.05 | 13% | 22 Aug → | |
| mirage | 10–13 | -0.02 | 10% | 22 Aug → | |
| inferno | 3–13 | -0.08 | 9% | 19 Aug → | |
| anubis | 13–6 | -0.03 | 19% | 19 Aug → | |
| inferno | 13–3 | -0.03 | 0% | 19 Aug → | |
| inferno | 13–2 | 0.05 | 14% | 9 Aug → | |
| nuke | 13–8 | -0.03 | 7% | 9 Aug → | |
| nuke | 11–2 | -0.03 | 0% | 9 Aug → | |
| anubis | 4–13 | -0.06 | 12% | 9 Aug → | |
| nuke | 7–13 | -0.05 | 23% | 9 Aug → | |
| ancient | 13–16 | -0.09 | 7% | 9 Aug → | |
| nuke | 9–13 | -0.07 | 15% | 9 Aug → | |
| inferno | 13–1 | -0.03 | 29% | 8 Aug → | |
| dust2 | 12–12 | -0.10 | 9% | 6 Aug → | |
| mirage | 12–12 | -0.10 | 26% | 6 Aug → | |
| inferno | 6–13 | -0.06 | 8% | 5 Aug → | |
| mirage | 7–13 | -0.10 | 17% | 5 Aug → | |
| ancient | 0–5 | -0.09 | 14% | 5 Aug → | |
| vertigo | 13–4 | 0.01 | 15% | 3 Aug → | |
| dust2 | 4–13 | -0.08 | 22% | 3 Aug → | |
| vertigo | 13–1 | 0.04 | 10% | 3 Aug → | |
| nuke | 5–13 | 0.04 | 17% | 28 Jul → | |
| nuke | 0–13 | -0.07 | 0% | 28 Jul → | |
| inferno | 7–13 | -0.07 | 4% | 26 Jul → | |
| inferno | 8–13 | -0.09 | 13% | 26 Jul → | |
| anubis | 13–4 | -0.08 | 0% | 24 Jul → | |
| ancient | 0–4 | -0.05 | 0% | 24 Jul → | |
| dust2 | 13–6 | -0.05 | 6% | 24 Jul → | |
| inferno | 2–13 | -0.07 | 5% | 22 Jul → | |
| inferno | 6–13 | -0.05 | 21% | 22 Jul → | |
| mirage | 3–13 | -0.05 | 7% | 22 Jul → | |
| nuke | 13–6 | -0.08 | 27% | 22 Jul → | |
| anubis | 15–15 | -0.07 | 15% | 22 Jul → | |
| nuke | 5–13 | -0.09 | 7% | 22 Jul → | |
| dust2 | 8–13 | -0.02 | 5% | 8 Jul → | |
| office | 13–8 | -0.05 | 24% | 8 Jul → | |
| cache | 8–13 | -0.07 | 22% | 3 Jul → | |
| warden | 8–13 | -0.09 | 9% | 3 Jul → | |
| cache | 13–5 | -0.03 | 10% | 3 Jul → | |
| cache | 1–5 | -0.02 | 0% | 3 Jul → | |
| cache | 4–13 | -0.06 | 0% | 3 Jul → | |
| dust2 | 6–13 | -0.08 | 18% | 23 Jun → | |
| dust2 | 11–13 | -0.07 | 10% | 23 Jun → | |
| train | 13–4 | 0.05 | 19% | 23 Jun → | |
| train | 7–13 | -0.02 | 16% | 23 Jun → | |
| office | 10–13 | -0.10 | 17% | 18 May → | |
| vertigo | 10–13 | -0.03 | 12% | 2 May → | |
| cache | 11–13 | -0.12 | 10% | 2 May → | |
| cache | 11–13 | -0.03 | 19% | 2 May → | |
| cache | 13–4 | -0.07 | 17% | 1 May → | |
| vertigo | 1–13 | -0.05 | 23% | 8 Apr → | |
| nuke | 13–11 | -0.13 | 11% | 7 Apr → | |
| mirage | 6–13 | -0.05 | 11% | 18 Jan → | |
| inferno | 10–13 | -0.01 | 14% | 18 Jan → | |
| nuke | 13–2 | 0.00 | 31% | 18 Jan → | |
| mirage | 7–13 | -0.05 | 29% | 18 Jan → | |
| nuke | 12–12 | -0.08 | 7% | 17 Jan → | |
| overpass | 4–13 | -0.09 | 22% | 17 Jan → | |
| overpass | 1–13 | -0.10 | 0% | 17 Jan → | |
| overpass | 3–13 | -0.08 | 0% | 17 Jan → | |
| overpass | 13–5 | -0.04 | 24% | 17 Jan → | |
| overpass | 13–4 | -0.02 | 18% | 11 Jan → | |
| dust2 | 11–13 | -0.06 | 27% | 15 Dec → | |
| dust2 | 5–13 | -0.03 | 13% | 22 Nov → | |
| dust2 | 13–8 | -0.04 | 18% | 20 Nov → | |
| overpass | 13–7 | -0.05 | 18% | 20 Nov → | |
| dust2 | 6–13 | -0.03 | 17% | 17 Nov → | |
| overpass | 7–13 | -0.06 | 19% | 15 Nov → | |
| vertigo | 11–13 | -0.05 | 18% | 15 Nov → | |
| vertigo | 13–2 | -0.08 | 28% | 15 Nov → | |
| ancient | 9–13 | -0.08 | 15% | 13 Nov → | |
| overpass | 4–13 | -0.06 | 23% | 13 Nov → | |
| train | 10–1 | 0.01 | 10% | 13 Nov → | |
| inferno | 3–13 | -0.17 | 0% | 13 Nov → | |
| inferno | 13–8 | -0.08 | 11% | 5 Nov → | |
| nuke | 13–7 | -0.06 | 13% | 5 Nov → | |
| train | 13–7 | -0.07 | 9% | 5 Nov → | |
| vertigo | 13–7 | -0.01 | 17% | 2 Nov → | |
| train | 12–12 | -0.10 | 47% | 2 Nov → | |
| inferno | 9–13 | -0.07 | 14% | 2 Nov → | |
| dust2 | 8–13 | -0.12 | 21% | 2 Nov → | |
| nuke | 13–10 | -0.03 | 21% | 1 Nov → | |
| office | 11–13 | -0.09 | 14% | 1 Nov → | |
| agency | 2–13 | -0.04 | 33% | 1 Nov → | |
| mirage | 2–13 | -0.11 | 28% | 1 Nov → | |
| nuke | 13–2 | -0.08 | 21% | 1 Nov → | |
| dust2 | 2–2 | -0.04 | 0% | 1 Nov → | |
| dust2 | 0–13 | -0.07 | 10% | 1 Nov → | |
| nuke | 13–2 | -0.07 | 28% | 31 Oct → | |
| vertigo | 12–12 | -0.07 | 7% | 31 Oct → | |
| inferno | 6–13 | -0.10 | 11% | 22 Dec → | |
| nuke | 10–13 | -0.10 | 13% | 22 Dec → | |
| anubis | 7–13 | -0.12 | 13% | 22 Dec → | |
| vertigo | 1–13 | -0.10 | 8% | 21 Dec → | |
| nuke | 9–13 | -0.10 | 22% | 21 Dec → | |
| inferno | 7–13 | -0.08 | 0% | 21 Dec → | |
| anubis | 1–13 | -0.11 | 13% | 21 Dec → |
Match data via Leetify.
