| Fpcm89x vs Jin | 165–143 | 53.57% |
| Fpcm89x vs Law | 143–160 | 47.19% |
| Fpcm89x vs Kazuya | 124–168 | 42.47% |
| Fpcm89x vs Hwoarang | 140–136 | 50.72% |
| Fpcm89x vs King | 103–124 | 45.37% |
| Fpcm89x vs Bryan | 85–118 | 41.87% |
| Fpcm89x vs Eddy | 115–85 | 57.50% |
| Fpcm89x vs Steve | 92–104 | 46.94% |
| Fpcm89x vs Paul | 98–89 | 52.41% |
| Fpcm89x vs Yoshimitsu | 90–84 | 51.72% |
| Fpcm89x vs Lili | 93–77 | 54.71% |
| Fpcm89x vs Dragunov | 68–93–1 | 42.24% |
| Fpcm89x vs Xiaoyu | 87–59 | 59.59% |
| Fpcm89x vs Armor King | 57–84 | 40.43% |
| Fpcm89x vs Heihachi | 74–59 | 55.64% |
| Fpcm89x vs Fahkumram | 62–64 | 49.21% |
| Fpcm89x vs Devil Jin | 52–66 | 44.07% |
| Fpcm89x vs Jun | 70–45–1 | 60.87% |
| Fpcm89x vs Reina | 45–66 | 40.54% |
| Fpcm89x vs Asuka | 62–40 | 60.78% |
| Fpcm89x vs Lars | 43–54 | 44.33% |
| Fpcm89x vs Lee | 43–54 | 44.33% |
| Fpcm89x vs Alisa | 47–46 | 50.54% |
| Fpcm89x vs Feng | 30–61 | 32.97% |
| Fpcm89x vs Azucena | 50–37 | 57.47% |
| Fpcm89x vs Nina | 40–40 | 50.00% |
| Fpcm89x vs Victor | 41–36 | 53.25% |
| Fpcm89x vs Clive | 40–35 | 53.33% |
| Fpcm89x vs Leroy | 36–34 | 51.43% |
| Fpcm89x vs Anna | 26–34 | 43.33% |
| Fpcm89x vs Leo | 32–27 | 54.24% |
| Fpcm89x vs Claudio | 20–34 | 37.04% |
| Fpcm89x vs Raven | 23–24 | 48.94% |
| Fpcm89x vs Miary Zo | 22–25 | 46.81% |
| Fpcm89x vs Jack-8 | 21–20 | 51.22% |
| Fpcm89x vs Kuma | 17–20 | 45.95% |
| Fpcm89x vs Lidia | 19–14 | 57.58% |
| Fpcm89x vs Panda | 17–9 | 65.38% |
| Fpcm89x vs Zafina | 7–18 | 28.00% |
| Fpcm89x vs Shaheen | 11–5 | 68.75% |
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.