| MikeTyson vs Jin | 57–61 | 48.31% |
| MikeTyson vs Kazuya | 64–49 | 56.64% |
| MikeTyson vs King | 56–47–2 | 54.37% |
| MikeTyson vs Hwoarang | 50–18–2 | 73.53% |
| MikeTyson vs Reina | 40–27 | 59.70% |
| MikeTyson vs Steve | 40–22 | 64.52% |
| MikeTyson vs Bryan | 32–29 | 52.46% |
| MikeTyson vs Law | 34–25 | 57.63% |
| MikeTyson vs Paul | 30–26 | 53.57% |
| MikeTyson vs Yoshimitsu | 28–24 | 53.85% |
| MikeTyson vs Dragunov | 29–23 | 55.77% |
| MikeTyson vs Eddy | 27–23 | 54.00% |
| MikeTyson vs Devil Jin | 20–22 | 47.62% |
| MikeTyson vs Lili | 26–14 | 65.00% |
| MikeTyson vs Heihachi | 23–16 | 58.97% |
| MikeTyson vs Azucena | 16–18 | 47.06% |
| MikeTyson vs Lars | 18–15 | 54.55% |
| MikeTyson vs Asuka | 18–12 | 60.00% |
| MikeTyson vs Lee | 14–15 | 48.28% |
| MikeTyson vs Jun | 15–12 | 55.56% |
| MikeTyson vs Nina | 9–16 | 36.00% |
| MikeTyson vs Xiaoyu | 15–7 | 68.18% |
| MikeTyson vs Alisa | 11–11 | 50.00% |
| MikeTyson vs Raven | 11–11 | 50.00% |
| MikeTyson vs Victor | 11–10 | 52.38% |
| MikeTyson vs Feng | 12–8 | 60.00% |
| MikeTyson vs Shaheen | 7–13 | 35.00% |
| MikeTyson vs Jack-8 | 9–10 | 47.37% |
| MikeTyson vs Kuma | 3–14 | 17.65% |
| MikeTyson vs Leroy | 10–7 | 58.82% |
| MikeTyson vs Leo | 7–9 | 43.75% |
| MikeTyson vs Armor King | 6–8 | 42.86% |
| MikeTyson vs Lidia | 6–7 | 46.15% |
| MikeTyson vs Claudio | 8–4 | 66.67% |
| MikeTyson vs Panda | 6–4 | 60.00% |
| MikeTyson vs Zafina | 5–3 | 62.50% |
| MikeTyson vs Clive | 5–3 | 62.50% |
| MikeTyson vs Fahkumram | 7–1 | 87.50% |
| MikeTyson vs Anna | 1–0 | 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.