| TMMSquall vs Kazuya | 131–86 | 60.37% |
| TMMSquall vs Jin | 113–53 | 68.07% |
| TMMSquall vs Bryan | 81–75 | 51.92% |
| TMMSquall vs Reina | 101–54 | 65.16% |
| TMMSquall vs King | 69–47 | 59.48% |
| TMMSquall vs Dragunov | 72–43 | 62.61% |
| TMMSquall vs Devil Jin | 62–41 | 60.19% |
| TMMSquall vs Paul | 61–33 | 64.89% |
| TMMSquall vs Steve | 54–40 | 57.45% |
| TMMSquall vs Fahkumram | 53–39 | 57.61% |
| TMMSquall vs Hwoarang | 58–33 | 63.74% |
| TMMSquall vs Heihachi | 49–40 | 55.06% |
| TMMSquall vs Law | 57–25 | 69.51% |
| TMMSquall vs Clive | 51–26 | 66.23% |
| TMMSquall vs Azucena | 45–30 | 60.00% |
| TMMSquall vs Yoshimitsu | 43–29 | 59.72% |
| TMMSquall vs Asuka | 56–16 | 77.78% |
| TMMSquall vs Lee | 44–26 | 62.86% |
| TMMSquall vs Jack-8 | 37–31 | 54.41% |
| TMMSquall vs Lidia | 37–31 | 54.41% |
| TMMSquall vs Xiaoyu | 43–22 | 66.15% |
| TMMSquall vs Lili | 41–22 | 65.08% |
| TMMSquall vs Lars | 42–16 | 72.41% |
| TMMSquall vs Victor | 35–22 | 61.40% |
| TMMSquall vs Jun | 31–23 | 57.41% |
| TMMSquall vs Miary Zo | 23–30 | 43.40% |
| TMMSquall vs Armor King | 36–16 | 69.23% |
| TMMSquall vs Leo | 31–15 | 67.39% |
| TMMSquall vs Feng | 29–13 | 69.05% |
| TMMSquall vs Nina | 21–17 | 55.26% |
| TMMSquall vs Leroy | 24–14 | 63.16% |
| TMMSquall vs Raven | 19–16 | 54.29% |
| TMMSquall vs Alisa | 19–15 | 55.88% |
| TMMSquall vs Zafina | 16–14 | 53.33% |
| TMMSquall vs Claudio | 19–8 | 70.37% |
| TMMSquall vs Eddy | 17–8 | 68.00% |
| TMMSquall vs Anna | 18–6 | 75.00% |
| TMMSquall vs Kuma | 14–9 | 60.87% |
| TMMSquall vs Shaheen | 11–11 | 50.00% |
| TMMSquall vs Panda | 8–4 | 66.67% |
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.