DukeWish — CS2 Stats
76561198993232597[U:1:1032966869]✓ No bans
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 Twistzz 84% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; 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. 564ms 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 5.0/10 (Developing), 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 |
|---|---|---|---|---|---|
| office | B | 26 | 12–14 | 46% | 0.00 |
| C | 23 | 10–13 | 43% | 0.01 | |
| D | 15 | 3–12 | 20% | -0.02 | |
| B | 10 | 5–5 | 50% | 0.00 | |
| boulder | — | 3 | 0–3 | 0% | 0.01 |
| shelter | — | 3 | 1–2 | 33% | -0.01 |
| — | 3 | 2–1 | 67% | 0.07 | |
| fachwerk | — | 2 | 2–0 | 100% | -0.02 |
| — | 2 | 2–0 | 100% | -0.03 | |
| — | 2 | 0–2 | 0% | -0.04 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| alpine | — | 2 | 0–2 | 0% | -0.02 |
| rooftop | — | 2 | 0–2 | 0% | -0.02 |
| — | 1 | 1–0 | 100% | -0.02 | |
| — | 1 | 0–1 | 0% | 0.05 | |
| golden | — | 1 | 0–1 | 0% | -0.00 |
| agency | — | 1 | 1–0 | 100% | 0.01 |
| — | 1 | 1–0 | 100% | 0.14 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (20% over 15). 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.
- 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 12.3757% — below the 15% 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 35.5725% — 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.
20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | -0.06 | 10% | 28 Aug → | ||
| 13–7 | 0.01 | 8% | 28 Aug → | ||
| 13–10 | -0.06 | 7% | 27 Aug → | ||
| office | 13–8 | 0.01 | 10% | 26 Aug → | |
| 13–3 | 0.09 | 13% | 26 Aug → | ||
| 13–8 | 0.03 | 16% | 25 Aug → | ||
| office | 8–13 | -0.07 | 7% | 25 Aug → | |
| office | 9–13 | -0.03 | 24% | 23 Aug → | |
| 13–9 | 0.04 | 7% | 22 Aug → | ||
| 9–13 | -0.01 | 4% | 20 Aug → | ||
| 1–13 | -0.03 | 27% | 20 Aug → | ||
| 8–13 | -0.00 | 17% | 20 Aug → | ||
| office | 10–13 | -0.01 | 13% | 19 Aug → | |
| 8–13 | -0.05 | 7% | 19 Aug → | ||
| office | 13–4 | 0.07 | 18% | 18 Aug → | |
| 8–13 | -0.04 | 5% | 16 Aug → | ||
| office | 13–5 | -0.01 | 36% | 13 Aug → | |
| 5–13 | -0.03 | 12% | 13 Aug → | ||
| office | 13–5 | -0.03 | 8% | 12 Aug → | |
| boulder | 10–13 | -0.01 | 15% | 12 Aug → | |
| 9–13 | -0.05 | 14% | 10 Aug → | ||
| 9–13 | -0.06 | 8% | 9 Aug → | ||
| office | 13–8 | -0.04 | 10% | 8 Aug → | |
| 8–13 | -0.00 | 9% | 6 Aug → | ||
| office | 13–4 | -0.02 | 9% | 6 Aug → | |
| fachwerk | 13–8 | -0.03 | 17% | 4 Aug → | |
| boulder | 11–13 | 0.02 | 9% | 4 Aug → | |
| 13–9 | 0.11 | 7% | 3 Aug → | ||
| office | 11–13 | -0.05 | 11% | 2 Aug → | |
| 13–10 | 0.07 | 20% | 2 Aug → | ||
| office | 11–8 | -0.02 | 1% | 2 Aug → | |
| office | 13–1 | 0.17 | 23% | 1 Aug → | |
| 12–12 | 0.01 | 10% | 31 Jul → | ||
| 12–12 | -0.00 | 9% | 31 Jul → | ||
| office | 9–13 | 0.04 | 23% | 31 Jul → | |
| 13–10 | -0.07 | 10% | 30 Jul → | ||
| office | 11–13 | 0.03 | 12% | 28 Jul → | |
| 6–13 | -0.03 | 13% | 28 Jul → | ||
| fachwerk | 13–7 | -0.01 | 13% | 24 Jul → | |
| 5–13 | -0.06 | 5% | 20 Jul → | ||
| office | 9–13 | 0.02 | 20% | 17 Jul → | |
| 13–10 | -0.07 | 5% | 15 Jul → | ||
| shelter | 8–13 | -0.04 | 10% | 15 Jul → | |
| shelter | 13–3 | -0.01 | 17% | 15 Jul → | |
| boulder | 12–12 | 0.01 | 22% | 13 Jul → | |
| shelter | 6–13 | 0.03 | 12% | 9 Jul → | |
| office | 9–13 | -0.01 | 3% | 8 Jul → | |
| 1–13 | -0.03 | 14% | 6 Jul → | ||
| 5–13 | -0.01 | 11% | 6 Jul → | ||
| office | 13–4 | -0.03 | 10% | 4 Jul → | |
| 9–13 | -0.04 | 8% | 4 Jul → | ||
| 0–13 | -0.08 | 20% | 4 Jul → | ||
| 13–6 | 0.00 | 13% | 2 Jul → | ||
| 7–5 | -0.00 | 46% | 2 Jul → | ||
| 8–13 | -0.04 | 25% | 1 Jul → | ||
| 7–13 | -0.04 | 9% | 1 Jul → | ||
| 13–11 | -0.02 | 15% | 30 Jun → | ||
| 13–5 | 0.01 | 13% | 30 Jun → | ||
| 9–13 | -0.01 | 18% | 29 Jun → | ||
| 9–13 | -0.02 | 25% | 29 Jun → | ||
| office | 6–13 | 0.04 | 9% | 27 Jun → | |
| 13–7 | 0.06 | 18% | 27 Jun → | ||
| office | 13–7 | -0.05 | 27% | 27 Jun → | |
| 4–13 | -0.05 | 13% | 27 Jun → | ||
| 8–13 | -0.01 | 13% | 26 Jun → | ||
| 13–4 | -0.01 | 20% | 25 Jun → | ||
| 13–8 | 0.01 | 17% | 25 Jun → | ||
| 10–13 | 0.01 | 13% | 24 Jun → | ||
| 9–13 | 0.04 | 15% | 22 Jun → | ||
| 13–7 | -0.02 | 13% | 20 Jun → | ||
| 13–10 | -0.02 | 20% | 20 Jun → | ||
| 7–13 | 0.01 | 8% | 20 Jun → | ||
| 12–12 | -0.01 | 6% | 19 Jun → | ||
| 13–5 | 0.00 | 16% | 19 Jun → | ||
| 13–10 | 0.06 | 18% | 8 Jun → | ||
| office | 13–3 | -0.06 | 19% | 8 Jun → | |
| office | 13–7 | -0.06 | 24% | 7 Jun → | |
| 7–13 | 0.14 | 20% | 7 Jun → | ||
| 12–12 | 0.01 | 22% | 2 Jun → | ||
| office | 12–12 | 0.01 | 13% | 23 May → | |
| 12–12 | 0.05 | 9% | 18 May → | ||
| 2–13 | -0.08 | 10% | 18 May → | ||
| 7–13 | -0.04 | 18% | 8 May → | ||
| 13–9 | 0.08 | 9% | 7 May → | ||
| 10–13 | -0.05 | 4% | 2 May → | ||
| 2–13 | -0.03 | 7% | 10 Mar → | ||
| alpine | 2–13 | -0.01 | 13% | 13 Feb → | |
| alpine | 5–13 | -0.03 | 7% | 3 Feb → | |
| office | 10–13 | 0.05 | 6% | 21 Jan → | |
| office | 11–13 | 0.02 | 10% | 18 Jan → | |
| 13–10 | 0.09 | 12% | 11 Jan → | ||
| golden | 10–13 | -0.00 | 7% | 9 Jan → | |
| office | 9–13 | 0.01 | 10% | 29 Dec → | |
| agency | 13–6 | 0.01 | 15% | 28 Dec → | |
| office | 12–12 | 0.04 | 6% | 28 Dec → | |
| rooftop | 4–9 | -0.07 | 16% | 27 Dec → | |
| rooftop | 8–8 | 0.03 | 19% | 27 Dec → | |
| 9–7 | 0.14 | 7% | 27 Dec → | ||
| 9–7 | 0.11 | 17% | 27 Dec → | ||
| 9–2 | 0.23 | 7% | 27 Dec → |
Match data via Leetify.
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