| Retrotof vs Kazuya | 382–426–1 | 47.28% |
| Retrotof vs Hwoarang | 278–400 | 41.00% |
| Retrotof vs Law | 290–386–1 | 42.90% |
| Retrotof vs King | 284–349 | 44.87% |
| Retrotof vs Jin | 284–341 | 45.44% |
| Retrotof vs Bryan | 248–238 | 51.03% |
| Retrotof vs Steve | 228–234 | 49.35% |
| Retrotof vs Paul | 173–258–1 | 40.14% |
| Retrotof vs Dragunov | 148–218 | 40.44% |
| Retrotof vs Yoshimitsu | 170–173 | 49.56% |
| Retrotof vs Reina | 171–159 | 51.82% |
| Retrotof vs Lili | 137–174 | 44.05% |
| Retrotof vs Heihachi | 138–164 | 45.70% |
| Retrotof vs Eddy | 133–147 | 47.50% |
| Retrotof vs Devil Jin | 127–151 | 45.68% |
| Retrotof vs Xiaoyu | 115–125 | 47.92% |
| Retrotof vs Lee | 106–121 | 46.70% |
| Retrotof vs Asuka | 120–96 | 55.56% |
| Retrotof vs Feng | 87–122 | 41.63% |
| Retrotof vs Lars | 93–107 | 46.50% |
| Retrotof vs Jun | 77–111 | 40.96% |
| Retrotof vs Nina | 88–87 | 50.29% |
| Retrotof vs Azucena | 79–92 | 46.20% |
| Retrotof vs Alisa | 62–106 | 36.90% |
| Retrotof vs Fahkumram | 69–83 | 45.39% |
| Retrotof vs Victor | 61–90 | 40.40% |
| Retrotof vs Anna | 75–71 | 51.37% |
| Retrotof vs Raven | 72–71 | 50.35% |
| Retrotof vs Lidia | 57–70 | 44.88% |
| Retrotof vs Leroy | 57–68 | 45.60% |
| Retrotof vs Jack-8 | 50–65 | 43.48% |
| Retrotof vs Clive | 47–63 | 42.73% |
| Retrotof vs Armor King | 48–58 | 45.28% |
| Retrotof vs Claudio | 44–58 | 43.14% |
| Retrotof vs Leo | 37–63 | 37.00% |
| Retrotof vs Kuma | 20–50 | 28.57% |
| Retrotof vs Shaheen | 29–26 | 52.73% |
| Retrotof vs Zafina | 20–27 | 42.55% |
| Retrotof vs Panda | 13–19 | 40.62% |
| Retrotof vs Miary Zo | 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.