| PaxtonTrench vs King | 37–92 | 28.68% |
| PaxtonTrench vs Jin | 41–69 | 37.27% |
| PaxtonTrench vs Kazuya | 30–66 | 31.25% |
| PaxtonTrench vs Lidia | 40–56 | 41.67% |
| PaxtonTrench vs Law | 33–50 | 39.76% |
| PaxtonTrench vs Hwoarang | 23–53 | 30.26% |
| PaxtonTrench vs Bryan | 25–46 | 35.21% |
| PaxtonTrench vs Steve | 24–47 | 33.80% |
| PaxtonTrench vs Reina | 31–37 | 45.59% |
| PaxtonTrench vs Jun | 16–38 | 29.63% |
| PaxtonTrench vs Dragunov | 20–33 | 37.74% |
| PaxtonTrench vs Eddy | 18–34 | 34.62% |
| PaxtonTrench vs Lili | 24–24 | 50.00% |
| PaxtonTrench vs Nina | 21–26 | 44.68% |
| PaxtonTrench vs Azucena | 14–32 | 30.43% |
| PaxtonTrench vs Victor | 11–34 | 24.44% |
| PaxtonTrench vs Yoshimitsu | 20–22 | 47.62% |
| PaxtonTrench vs Lars | 13–29 | 30.95% |
| PaxtonTrench vs Devil Jin | 12–27 | 30.77% |
| PaxtonTrench vs Leroy | 15–24 | 38.46% |
| PaxtonTrench vs Asuka | 11–23 | 32.35% |
| PaxtonTrench vs Lee | 14–20 | 41.18% |
| PaxtonTrench vs Paul | 11–21 | 34.38% |
| PaxtonTrench vs Leo | 11–19 | 36.67% |
| PaxtonTrench vs Claudio | 11–16 | 40.74% |
| PaxtonTrench vs Xiaoyu | 6–19 | 24.00% |
| PaxtonTrench vs Raven | 9–14 | 39.13% |
| PaxtonTrench vs Alisa | 7–15 | 31.82% |
| PaxtonTrench vs Heihachi | 8–14 | 36.36% |
| PaxtonTrench vs Clive | 7–15 | 31.82% |
| PaxtonTrench vs Anna | 4–17 | 19.05% |
| PaxtonTrench vs Jack-8 | 3–14 | 17.65% |
| PaxtonTrench vs Shaheen | 7–8 | 46.67% |
| PaxtonTrench vs Kuma | 4–10 | 28.57% |
| PaxtonTrench vs Feng | 3–7 | 30.00% |
| PaxtonTrench vs Zafina | 3–3 | 50.00% |
| PaxtonTrench vs Fahkumram | 2–4 | 33.33% |
| PaxtonTrench vs Armor King | 1–5 | 16.67% |
| PaxtonTrench vs Panda | 2–1 | 66.67% |
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.