| UnbuiltWharf vs Reina | 17–17 | 50.00% |
| UnbuiltWharf vs Lidia | 12–20 | 37.50% |
| UnbuiltWharf vs King | 7–24 | 22.58% |
| UnbuiltWharf vs Jin | 11–17 | 39.29% |
| UnbuiltWharf vs Steve | 15–12 | 55.56% |
| UnbuiltWharf vs Kazuya | 14–11 | 56.00% |
| UnbuiltWharf vs Lili | 10–15 | 40.00% |
| UnbuiltWharf vs Victor | 8–16 | 33.33% |
| UnbuiltWharf vs Hwoarang | 7–12 | 36.84% |
| UnbuiltWharf vs Azucena | 10–8 | 55.56% |
| UnbuiltWharf vs Bryan | 3–14 | 17.65% |
| UnbuiltWharf vs Lars | 6–11 | 35.29% |
| UnbuiltWharf vs Law | 3–13 | 18.75% |
| UnbuiltWharf vs Dragunov | 7–8 | 46.67% |
| UnbuiltWharf vs Devil Jin | 5–7 | 41.67% |
| UnbuiltWharf vs Nina | 3–9 | 25.00% |
| UnbuiltWharf vs Xiaoyu | 3–7 | 30.00% |
| UnbuiltWharf vs Zafina | 5–5 | 50.00% |
| UnbuiltWharf vs Heihachi | 5–5 | 50.00% |
| UnbuiltWharf vs Leo | 3–6 | 33.33% |
| UnbuiltWharf vs Leroy | 4–5 | 44.44% |
| UnbuiltWharf vs Raven | 2–7 | 22.22% |
| UnbuiltWharf vs Eddy | 1–8 | 11.11% |
| UnbuiltWharf vs Paul | 1–7 | 12.50% |
| UnbuiltWharf vs Lee | 2–6 | 25.00% |
| UnbuiltWharf vs Asuka | 4–3 | 57.14% |
| UnbuiltWharf vs Kuma | 2–5 | 28.57% |
| UnbuiltWharf vs Jun | 2–5 | 28.57% |
| UnbuiltWharf vs Yoshimitsu | 3–3 | 50.00% |
| UnbuiltWharf vs Claudio | 0–6 | 0.00% |
| UnbuiltWharf vs Jack-8 | 1–4 | 20.00% |
| UnbuiltWharf vs Feng | 2–3 | 40.00% |
| UnbuiltWharf vs Shaheen | 1–4 | 20.00% |
| UnbuiltWharf vs Clive | 4–1 | 80.00% |
| UnbuiltWharf vs Alisa | 1–3 | 25.00% |
| UnbuiltWharf vs Panda | 1–3 | 25.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.