| WildKardUno vs Jin | 11–35 | 23.91% |
| WildKardUno vs King | 9–20 | 31.03% |
| WildKardUno vs Steve | 16–10 | 61.54% |
| WildKardUno vs Kazuya | 4–21 | 16.00% |
| WildKardUno vs Lili | 8–15 | 34.78% |
| WildKardUno vs Lars | 7–14 | 33.33% |
| WildKardUno vs Eddy | 4–16 | 20.00% |
| WildKardUno vs Law | 3–16 | 15.79% |
| WildKardUno vs Devil Jin | 5–14 | 26.32% |
| WildKardUno vs Asuka | 5–12–1 | 29.41% |
| WildKardUno vs Dragunov | 6–12 | 33.33% |
| WildKardUno vs Reina | 5–13 | 27.78% |
| WildKardUno vs Hwoarang | 4–13 | 23.53% |
| WildKardUno vs Paul | 2–14 | 12.50% |
| WildKardUno vs Yoshimitsu | 5–10 | 33.33% |
| WildKardUno vs Azucena | 8–7 | 53.33% |
| WildKardUno vs Jun | 5–9 | 35.71% |
| WildKardUno vs Clive | 5–8 | 38.46% |
| WildKardUno vs Bryan | 3–8 | 27.27% |
| WildKardUno vs Victor | 0–11 | 0.00% |
| WildKardUno vs Alisa | 3–7 | 30.00% |
| WildKardUno vs Fahkumram | 4–6 | 40.00% |
| WildKardUno vs Nina | 3–6 | 33.33% |
| WildKardUno vs Anna | 3–6 | 33.33% |
| WildKardUno vs Kuma | 3–5 | 37.50% |
| WildKardUno vs Lidia | 4–4 | 50.00% |
| WildKardUno vs Leo | 0–6 | 0.00% |
| WildKardUno vs Claudio | 2–4 | 33.33% |
| WildKardUno vs Lee | 0–6 | 0.00% |
| WildKardUno vs Leroy | 1–5 | 16.67% |
| WildKardUno vs Heihachi | 0–6 | 0.00% |
| WildKardUno vs Shaheen | 2–2 | 50.00% |
| WildKardUno vs Armor King | 0–3 | 0.00% |
| WildKardUno vs Xiaoyu | 0–2 | 0.00% |
| WildKardUno vs Jack-8 | 2–0 | 100.00% |
| WildKardUno vs Feng | 0–2 | 0.00% |
| WildKardUno vs Zafina | 0–2 | 0.00% |
| WildKardUno vs Raven | 0–2 | 0.00% |
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.