Name history
| Mp4fter | |
| Diddy Mishima | |
| Maximum romance | |
| Budget Mishima | |
| douevenmishima? |
| Mp4fter vs Kazuya | 249–243 | 50.61% |
| Mp4fter vs Jin | 263–217 | 54.79% |
| Mp4fter vs King | 210–233 | 47.40% |
| Mp4fter vs Bryan | 193–214 | 47.42% |
| Mp4fter vs Dragunov | 166–194 | 46.11% |
| Mp4fter vs Paul | 164–153 | 51.74% |
| Mp4fter vs Law | 118–129 | 47.77% |
| Mp4fter vs Steve | 103–140 | 42.39% |
| Mp4fter vs Heihachi | 139–87 | 61.50% |
| Mp4fter vs Hwoarang | 74–106 | 41.11% |
| Mp4fter vs Feng | 70–102 | 40.70% |
| Mp4fter vs Yoshimitsu | 66–96 | 40.74% |
| Mp4fter vs Reina | 84–78 | 51.85% |
| Mp4fter vs Devil Jin | 95–66 | 59.01% |
| Mp4fter vs Nina | 74–66 | 52.86% |
| Mp4fter vs Lili | 74–61 | 54.81% |
| Mp4fter vs Victor | 53–82 | 39.26% |
| Mp4fter vs Lee | 55–79 | 41.04% |
| Mp4fter vs Azucena | 61–65–1 | 48.41% |
| Mp4fter vs Eddy | 34–84 | 28.81% |
| Mp4fter vs Armor King | 48–67 | 41.74% |
| Mp4fter vs Alisa | 55–58 | 48.67% |
| Mp4fter vs Jun | 43–60 | 41.75% |
| Mp4fter vs Lars | 39–61 | 39.00% |
| Mp4fter vs Asuka | 32–44 | 42.11% |
| Mp4fter vs Clive | 22–51 | 30.14% |
| Mp4fter vs Jack-8 | 19–49 | 27.94% |
| Mp4fter vs Anna | 25–41 | 37.88% |
| Mp4fter vs Lidia | 27–30 | 47.37% |
| Mp4fter vs Claudio | 30–25 | 54.55% |
| Mp4fter vs Fahkumram | 28–27 | 50.91% |
| Mp4fter vs Xiaoyu | 16–38 | 29.63% |
| Mp4fter vs Raven | 27–25 | 51.92% |
| Mp4fter vs Leroy | 15–36 | 29.41% |
| Mp4fter vs Shaheen | 21–27 | 43.75% |
| Mp4fter vs Leo | 17–29 | 36.96% |
| Mp4fter vs Kuma | 21–22 | 48.84% |
| Mp4fter vs Zafina | 19–14 | 57.58% |
| Mp4fter vs Miary Zo | 9–10 | 47.37% |
| Mp4fter vs Panda | 4–6 | 40.00% |
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.