| Mycroft vs Kazuya | 263–274 | 48.98% |
| Mycroft vs Bryan | 270–158 | 63.08% |
| Mycroft vs Jin | 165–261 | 38.73% |
| Mycroft vs Reina | 137–177 | 43.63% |
| Mycroft vs Heihachi | 145–165 | 46.77% |
| Mycroft vs King | 119–175–1 | 40.48% |
| Mycroft vs Hwoarang | 111–129 | 46.25% |
| Mycroft vs Steve | 133–89 | 59.91% |
| Mycroft vs Dragunov | 98–115 | 46.01% |
| Mycroft vs Paul | 122–70 | 63.54% |
| Mycroft vs Lee | 84–104 | 44.68% |
| Mycroft vs Devil Jin | 88–98 | 47.31% |
| Mycroft vs Lidia | 60–121 | 33.15% |
| Mycroft vs Yoshimitsu | 76–85 | 47.20% |
| Mycroft vs Asuka | 77–82 | 48.43% |
| Mycroft vs Jun | 70–86 | 44.87% |
| Mycroft vs Lili | 94–56 | 62.67% |
| Mycroft vs Law | 76–66 | 53.52% |
| Mycroft vs Nina | 74–68 | 52.11% |
| Mycroft vs Azucena | 70–58 | 54.69% |
| Mycroft vs Feng | 60–55 | 52.17% |
| Mycroft vs Leroy | 66–47 | 58.41% |
| Mycroft vs Lars | 44–55 | 44.44% |
| Mycroft vs Victor | 35–63 | 35.71% |
| Mycroft vs Claudio | 36–61 | 37.11% |
| Mycroft vs Leo | 45–50 | 47.37% |
| Mycroft vs Alisa | 39–49 | 44.32% |
| Mycroft vs Xiaoyu | 31–50 | 38.27% |
| Mycroft vs Anna | 17–64 | 20.99% |
| Mycroft vs Eddy | 19–59 | 24.36% |
| Mycroft vs Clive | 25–52 | 32.47% |
| Mycroft vs Armor King | 41–32 | 56.16% |
| Mycroft vs Fahkumram | 21–50 | 29.58% |
| Mycroft vs Raven | 39–31 | 55.71% |
| Mycroft vs Jack-8 | 41–27 | 60.29% |
| Mycroft vs Zafina | 21–42 | 33.33% |
| Mycroft vs Kuma | 28–28 | 50.00% |
| Mycroft vs Shaheen | 27–21 | 56.25% |
| Mycroft vs Panda | 12–22 | 35.29% |
| Mycroft vs Miary Zo | 4–7 | 36.36% |
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.