| WifeLeaver vs Kazuya | 33–31 | 51.56% |
| WifeLeaver vs King | 28–35 | 44.44% |
| WifeLeaver vs Jin | 27–24 | 52.94% |
| WifeLeaver vs Reina | 36–15 | 70.59% |
| WifeLeaver vs Hwoarang | 24–23 | 51.06% |
| WifeLeaver vs Steve | 29–16 | 64.44% |
| WifeLeaver vs Bryan | 20–23 | 46.51% |
| WifeLeaver vs Fahkumram | 25–18 | 58.14% |
| WifeLeaver vs Lidia | 24–18 | 57.14% |
| WifeLeaver vs Law | 24–15 | 61.54% |
| WifeLeaver vs Asuka | 21–12 | 63.64% |
| WifeLeaver vs Eddy | 16–16 | 50.00% |
| WifeLeaver vs Yoshimitsu | 14–16 | 46.67% |
| WifeLeaver vs Lili | 14–14 | 50.00% |
| WifeLeaver vs Azucena | 15–10 | 60.00% |
| WifeLeaver vs Nina | 14–9 | 60.87% |
| WifeLeaver vs Dragunov | 16–6 | 72.73% |
| WifeLeaver vs Lars | 11–10 | 52.38% |
| WifeLeaver vs Victor | 8–12 | 40.00% |
| WifeLeaver vs Alisa | 11–8 | 57.89% |
| WifeLeaver vs Lee | 11–8 | 57.89% |
| WifeLeaver vs Paul | 7–8 | 46.67% |
| WifeLeaver vs Jun | 12–2 | 85.71% |
| WifeLeaver vs Devil Jin | 10–3 | 76.92% |
| WifeLeaver vs Xiaoyu | 4–8 | 33.33% |
| WifeLeaver vs Leo | 10–2 | 83.33% |
| WifeLeaver vs Kuma | 3–8 | 27.27% |
| WifeLeaver vs Leroy | 6–5 | 54.55% |
| WifeLeaver vs Shaheen | 8–2 | 80.00% |
| WifeLeaver vs Heihachi | 4–6 | 40.00% |
| WifeLeaver vs Clive | 4–6 | 40.00% |
| WifeLeaver vs Armor King | 4–6 | 40.00% |
| WifeLeaver vs Raven | 6–3 | 66.67% |
| WifeLeaver vs Claudio | 6–2 | 75.00% |
| WifeLeaver vs Jack-8 | 3–4 | 42.86% |
| WifeLeaver vs Feng | 4–1 | 80.00% |
| WifeLeaver vs Miary Zo | 5–0 | 100.00% |
| WifeLeaver vs Zafina | 1–3 | 25.00% |
| WifeLeaver vs Anna | 2–2 | 50.00% |
| WifeLeaver vs Panda | 2–0 | 100.00% |
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.