| FreaK vs Bryan | 370–340 | 52.11% |
| FreaK vs Kazuya | 342–287 | 54.37% |
| FreaK vs King | 304–254 | 54.48% |
| FreaK vs Steve | 237–264 | 47.31% |
| FreaK vs Jin | 226–214 | 51.36% |
| FreaK vs Dragunov | 171–236 | 42.01% |
| FreaK vs Hwoarang | 185–188 | 49.60% |
| FreaK vs Paul | 184–176 | 51.11% |
| FreaK vs Reina | 193–153 | 55.78% |
| FreaK vs Lee | 172–168 | 50.59% |
| FreaK vs Heihachi | 168–172 | 49.41% |
| FreaK vs Law | 141–163 | 46.38% |
| FreaK vs Lili | 132–165 | 44.44% |
| FreaK vs Clive | 145–128 | 53.11% |
| FreaK vs Yoshimitsu | 152–98 | 60.80% |
| FreaK vs Devil Jin | 126–117 | 51.85% |
| FreaK vs Lars | 103–133 | 43.64% |
| FreaK vs Xiaoyu | 120–91 | 56.87% |
| FreaK vs Jun | 99–74 | 57.23% |
| FreaK vs Jack-8 | 81–83 | 49.39% |
| FreaK vs Eddy | 74–90 | 45.12% |
| FreaK vs Azucena | 76–81 | 48.41% |
| FreaK vs Nina | 75–81 | 48.08% |
| FreaK vs Claudio | 79–75–1 | 51.30% |
| FreaK vs Asuka | 79–70 | 53.02% |
| FreaK vs Feng | 82–60 | 57.75% |
| FreaK vs Fahkumram | 73–66 | 52.52% |
| FreaK vs Alisa | 77–48 | 61.60% |
| FreaK vs Victor | 64–59 | 52.03% |
| FreaK vs Leo | 48–71 | 40.34% |
| FreaK vs Zafina | 54–55 | 49.54% |
| FreaK vs Kuma | 43–61 | 41.35% |
| FreaK vs Shaheen | 45–52 | 46.39% |
| FreaK vs Lidia | 43–51 | 45.74% |
| FreaK vs Leroy | 43–48 | 47.25% |
| FreaK vs Raven | 52–34 | 60.47% |
| FreaK vs Anna | 21–29 | 42.00% |
| FreaK vs Panda | 18–28 | 39.13% |
| FreaK vs Armor King | 18–25 | 41.86% |
| FreaK vs Miary Zo | 1–2 | 33.33% |
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.