| UNFAIREST vs Kazuya | 170–181 | 48.43% |
| UNFAIREST vs Jin | 137–191 | 41.77% |
| UNFAIREST vs Paul | 135–187 | 41.93% |
| UNFAIREST vs Reina | 146–151 | 49.16% |
| UNFAIREST vs Dragunov | 126–170 | 42.57% |
| UNFAIREST vs Hwoarang | 142–129 | 52.40% |
| UNFAIREST vs Bryan | 126–142 | 47.01% |
| UNFAIREST vs King | 116–129 | 47.35% |
| UNFAIREST vs Heihachi | 96–119 | 44.65% |
| UNFAIREST vs Lili | 90–107 | 45.69% |
| UNFAIREST vs Asuka | 70–121 | 36.65% |
| UNFAIREST vs Lidia | 94–84 | 52.81% |
| UNFAIREST vs Steve | 66–98 | 40.24% |
| UNFAIREST vs Jun | 65–96 | 40.37% |
| UNFAIREST vs Law | 64–93 | 40.76% |
| UNFAIREST vs Victor | 59–91 | 39.33% |
| UNFAIREST vs Feng | 46–102 | 31.08% |
| UNFAIREST vs Azucena | 52–74 | 41.27% |
| UNFAIREST vs Lee | 45–71 | 38.79% |
| UNFAIREST vs Clive | 52–64 | 44.83% |
| UNFAIREST vs Lars | 41–74 | 35.65% |
| UNFAIREST vs Yoshimitsu | 53–58 | 47.75% |
| UNFAIREST vs Xiaoyu | 54–52 | 50.94% |
| UNFAIREST vs Devil Jin | 47–57 | 45.19% |
| UNFAIREST vs Leroy | 45–58 | 43.69% |
| UNFAIREST vs Leo | 50–50 | 50.00% |
| UNFAIREST vs Claudio | 39–61 | 39.00% |
| UNFAIREST vs Nina | 50–49 | 50.51% |
| UNFAIREST vs Alisa | 27–66 | 29.03% |
| UNFAIREST vs Jack-8 | 36–53 | 40.45% |
| UNFAIREST vs Eddy | 26–54 | 32.50% |
| UNFAIREST vs Zafina | 36–43 | 45.57% |
| UNFAIREST vs Fahkumram | 35–39 | 47.30% |
| UNFAIREST vs Shaheen | 19–38 | 33.33% |
| UNFAIREST vs Kuma | 18–33 | 35.29% |
| UNFAIREST vs Raven | 23–23 | 50.00% |
| UNFAIREST vs Anna | 20–23 | 46.51% |
| UNFAIREST vs Panda | 10–10 | 50.00% |
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.