| Ultra9937 vs King | 126–202 | 38.41% |
| Ultra9937 vs Jin | 112–161–1 | 41.03% |
| Ultra9937 vs Kazuya | 111–150 | 42.53% |
| Ultra9937 vs Steve | 94–134 | 41.23% |
| Ultra9937 vs Bryan | 88–132 | 40.00% |
| Ultra9937 vs Heihachi | 91–129 | 41.36% |
| Ultra9937 vs Reina | 90–127 | 41.47% |
| Ultra9937 vs Law | 100–111 | 47.39% |
| Ultra9937 vs Hwoarang | 73–106 | 40.78% |
| Ultra9937 vs Dragunov | 63–93 | 40.38% |
| Ultra9937 vs Lili | 64–86 | 42.67% |
| Ultra9937 vs Eddy | 54–89 | 37.76% |
| Ultra9937 vs Asuka | 50–79 | 38.76% |
| Ultra9937 vs Jun | 40–87 | 31.50% |
| Ultra9937 vs Lidia | 47–77 | 37.90% |
| Ultra9937 vs Paul | 61–62 | 49.59% |
| Ultra9937 vs Azucena | 53–70 | 43.09% |
| Ultra9937 vs Clive | 43–78 | 35.54% |
| Ultra9937 vs Lars | 51–64 | 44.35% |
| Ultra9937 vs Xiaoyu | 46–68 | 40.35% |
| Ultra9937 vs Victor | 36–69 | 34.29% |
| Ultra9937 vs Lee | 42–60 | 41.18% |
| Ultra9937 vs Yoshimitsu | 43–52 | 45.26% |
| Ultra9937 vs Feng | 32–55 | 36.78% |
| Ultra9937 vs Miary Zo | 34–53 | 39.08% |
| Ultra9937 vs Nina | 36–45 | 44.44% |
| Ultra9937 vs Alisa | 30–50 | 37.50% |
| Ultra9937 vs Devil Jin | 20–53 | 27.40% |
| Ultra9937 vs Anna | 26–36 | 41.94% |
| Ultra9937 vs Jack-8 | 21–40 | 34.43% |
| Ultra9937 vs Raven | 17–42 | 28.81% |
| Ultra9937 vs Leroy | 16–39 | 29.09% |
| Ultra9937 vs Claudio | 9–36 | 20.00% |
| Ultra9937 vs Leo | 13–30 | 30.23% |
| Ultra9937 vs Zafina | 19–23 | 45.24% |
| Ultra9937 vs Kuma | 15–25 | 37.50% |
| Ultra9937 vs Armor King | 8–25 | 24.24% |
| Ultra9937 vs Fahkumram | 7–25 | 21.88% |
| Ultra9937 vs Shaheen | 12–8 | 60.00% |
| Ultra9937 vs Panda | 11–9 | 55.00% |
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.