| SMJ_Wilfredo vs Jin | 26–12 | 68.42% |
| SMJ_Wilfredo vs Bryan | 22–9 | 70.97% |
| SMJ_Wilfredo vs Law | 14–16 | 46.67% |
| SMJ_Wilfredo vs Hwoarang | 20–9 | 68.97% |
| SMJ_Wilfredo vs Paul | 18–6 | 75.00% |
| SMJ_Wilfredo vs King | 15–5 | 75.00% |
| SMJ_Wilfredo vs Steve | 14–5 | 73.68% |
| SMJ_Wilfredo vs Dragunov | 13–6 | 68.42% |
| SMJ_Wilfredo vs Anna | 9–10 | 47.37% |
| SMJ_Wilfredo vs Kazuya | 11–7 | 61.11% |
| SMJ_Wilfredo vs Reina | 10–8 | 55.56% |
| SMJ_Wilfredo vs Lars | 9–8 | 52.94% |
| SMJ_Wilfredo vs Xiaoyu | 14–2 | 87.50% |
| SMJ_Wilfredo vs Devil Jin | 13–2 | 86.67% |
| SMJ_Wilfredo vs Lili | 11–4 | 73.33% |
| SMJ_Wilfredo vs Lee | 10–4 | 71.43% |
| SMJ_Wilfredo vs Jun | 7–5 | 58.33% |
| SMJ_Wilfredo vs Feng | 5–6 | 45.45% |
| SMJ_Wilfredo vs Yoshimitsu | 6–4 | 60.00% |
| SMJ_Wilfredo vs Zafina | 5–5 | 50.00% |
| SMJ_Wilfredo vs Eddy | 6–4 | 60.00% |
| SMJ_Wilfredo vs Jack-8 | 2–6 | 25.00% |
| SMJ_Wilfredo vs Nina | 7–1 | 87.50% |
| SMJ_Wilfredo vs Asuka | 6–1 | 85.71% |
| SMJ_Wilfredo vs Leo | 7–0 | 100.00% |
| SMJ_Wilfredo vs Victor | 2–5 | 28.57% |
| SMJ_Wilfredo vs Raven | 6–0 | 100.00% |
| SMJ_Wilfredo vs Claudio | 4–1 | 80.00% |
| SMJ_Wilfredo vs Clive | 2–3 | 40.00% |
| SMJ_Wilfredo vs Fahkumram | 4–1 | 80.00% |
| SMJ_Wilfredo vs Shaheen | 2–2 | 50.00% |
| SMJ_Wilfredo vs Kuma | 4–0 | 100.00% |
| SMJ_Wilfredo vs Leroy | 3–1 | 75.00% |
| SMJ_Wilfredo vs Alisa | 3–0 | 100.00% |
| SMJ_Wilfredo vs Azucena | 2–1 | 66.67% |
| SMJ_Wilfredo vs Lidia | 2–1 | 66.67% |
| SMJ_Wilfredo vs Heihachi | 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.