| SUMi vs Kazuya | 94–80 | 54.02% |
| SUMi vs Reina | 82–71 | 53.59% |
| SUMi vs King | 54–77 | 41.22% |
| SUMi vs Jin | 71–51 | 58.20% |
| SUMi vs Dragunov | 49–73 | 40.16% |
| SUMi vs Bryan | 47–71 | 39.83% |
| SUMi vs Paul | 57–57 | 50.00% |
| SUMi vs Jun | 62–40 | 60.78% |
| SUMi vs Asuka | 54–44–1 | 55.10% |
| SUMi vs Lili | 38–59 | 39.18% |
| SUMi vs Heihachi | 35–58 | 37.63% |
| SUMi vs Lidia | 36–44 | 45.00% |
| SUMi vs Steve | 33–44 | 42.86% |
| SUMi vs Hwoarang | 13–46 | 22.03% |
| SUMi vs Azucena | 25–27 | 48.08% |
| SUMi vs Nina | 19–32 | 37.25% |
| SUMi vs Clive | 20–29 | 40.82% |
| SUMi vs Devil Jin | 21–24 | 46.67% |
| SUMi vs Victor | 18–27 | 40.00% |
| SUMi vs Claudio | 14–28 | 33.33% |
| SUMi vs Yoshimitsu | 16–24 | 40.00% |
| SUMi vs Xiaoyu | 18–22 | 45.00% |
| SUMi vs Leroy | 15–24 | 38.46% |
| SUMi vs Feng | 10–27 | 27.03% |
| SUMi vs Law | 13–23 | 36.11% |
| SUMi vs Alisa | 11–22 | 33.33% |
| SUMi vs Jack-8 | 6–25 | 19.35% |
| SUMi vs Lars | 8–23 | 25.81% |
| SUMi vs Anna | 14–16 | 46.67% |
| SUMi vs Eddy | 13–16 | 44.83% |
| SUMi vs Zafina | 11–17 | 39.29% |
| SUMi vs Lee | 8–19 | 29.63% |
| SUMi vs Shaheen | 8–15 | 34.78% |
| SUMi vs Leo | 7–9 | 43.75% |
| SUMi vs Kuma | 3–12 | 20.00% |
| SUMi vs Raven | 2–10 | 16.67% |
| SUMi vs Panda | 4–7 | 36.36% |
| SUMi vs Fahkumram | 4–5 | 44.44% |
| SUMi vs Armor King | 1–4 | 20.00% |
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.