| Waffle vs Kazuya | 421–445 | 48.61% |
| Waffle vs King | 335–390 | 46.21% |
| Waffle vs Jin | 308–360 | 46.11% |
| Waffle vs Bryan | 274–321 | 46.05% |
| Waffle vs Reina | 240–347 | 40.89% |
| Waffle vs Steve | 228–272 | 45.60% |
| Waffle vs Hwoarang | 187–276 | 40.39% |
| Waffle vs Heihachi | 234–224 | 51.09% |
| Waffle vs Dragunov | 157–237–1 | 39.85% |
| Waffle vs Lili | 164–225 | 42.16% |
| Waffle vs Law | 255–125 | 67.11% |
| Waffle vs Paul | 159–176 | 47.46% |
| Waffle vs Azucena | 129–189 | 40.57% |
| Waffle vs Yoshimitsu | 142–157 | 47.49% |
| Waffle vs Lee | 113–174 | 39.37% |
| Waffle vs Armor King | 119–166 | 41.75% |
| Waffle vs Jun | 121–163 | 42.61% |
| Waffle vs Xiaoyu | 110–160 | 40.74% |
| Waffle vs Asuka | 105–146 | 41.83% |
| Waffle vs Clive | 136–108 | 55.74% |
| Waffle vs Eddy | 118–110 | 51.75% |
| Waffle vs Lars | 95–132 | 41.85% |
| Waffle vs Nina | 88–130 | 40.37% |
| Waffle vs Victor | 87–130 | 40.09% |
| Waffle vs Lidia | 82–130 | 38.68% |
| Waffle vs Leo | 81–99 | 45.00% |
| Waffle vs Leroy | 74–103 | 41.81% |
| Waffle vs Devil Jin | 67–109 | 38.07% |
| Waffle vs Raven | 69–104 | 39.88% |
| Waffle vs Fahkumram | 71–81 | 46.71% |
| Waffle vs Feng | 44–103 | 29.93% |
| Waffle vs Jack-8 | 50–87 | 36.50% |
| Waffle vs Alisa | 52–79 | 39.69% |
| Waffle vs Kuma | 49–65 | 42.98% |
| Waffle vs Shaheen | 27–66 | 29.03% |
| Waffle vs Claudio | 28–62 | 31.11% |
| Waffle vs Anna | 20–47 | 29.85% |
| Waffle vs Zafina | 16–45 | 26.23% |
| Waffle vs Panda | 15–27 | 35.71% |
| Waffle vs Miary Zo | 13–29 | 30.95% |
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.