| V225 vs King | 79–72 | 52.32% |
| V225 vs Kazuya | 66–84 | 44.00% |
| V225 vs Jin | 76–71 | 51.70% |
| V225 vs Bryan | 51–65 | 43.97% |
| V225 vs Steve | 50–59 | 45.87% |
| V225 vs Law | 48–37 | 56.47% |
| V225 vs Lili | 44–39 | 53.01% |
| V225 vs Eddy | 30–51 | 37.04% |
| V225 vs Yoshimitsu | 40–39 | 50.63% |
| V225 vs Paul | 33–42 | 44.00% |
| V225 vs Hwoarang | 40–33 | 54.79% |
| V225 vs Jun | 29–39 | 42.65% |
| V225 vs Dragunov | 27–33 | 45.00% |
| V225 vs Heihachi | 21–34 | 38.18% |
| V225 vs Reina | 28–22 | 56.00% |
| V225 vs Devil Jin | 13–32 | 28.89% |
| V225 vs Lee | 24–20 | 54.55% |
| V225 vs Lidia | 15–27 | 35.71% |
| V225 vs Victor | 21–20 | 51.22% |
| V225 vs Azucena | 15–23 | 39.47% |
| V225 vs Armor King | 20–16 | 55.56% |
| V225 vs Kuma | 18–14 | 56.25% |
| V225 vs Leo | 12–16 | 42.86% |
| V225 vs Xiaoyu | 14–13 | 51.85% |
| V225 vs Lars | 9–17 | 34.62% |
| V225 vs Nina | 11–15 | 42.31% |
| V225 vs Raven | 8–16 | 33.33% |
| V225 vs Feng | 7–16 | 30.43% |
| V225 vs Asuka | 10–11 | 47.62% |
| V225 vs Claudio | 12–9 | 57.14% |
| V225 vs Jack-8 | 10–8 | 55.56% |
| V225 vs Alisa | 4–14 | 22.22% |
| V225 vs Clive | 10–6 | 62.50% |
| V225 vs Shaheen | 5–9 | 35.71% |
| V225 vs Zafina | 4–10 | 28.57% |
| V225 vs Leroy | 4–8 | 33.33% |
| V225 vs Fahkumram | 8–4 | 66.67% |
| V225 vs Panda | 0–4 | 0.00% |
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.