| Phil Accio vs King | 76–83 | 47.80% |
| Phil Accio vs Jin | 72–63 | 53.33% |
| Phil Accio vs Hwoarang | 53–71 | 42.74% |
| Phil Accio vs Reina | 55–66 | 45.45% |
| Phil Accio vs Bryan | 46–71 | 39.32% |
| Phil Accio vs Kazuya | 62–52 | 54.39% |
| Phil Accio vs Law | 50–55 | 47.62% |
| Phil Accio vs Azucena | 48–54 | 47.06% |
| Phil Accio vs Lili | 38–48 | 44.19% |
| Phil Accio vs Asuka | 40–41 | 49.38% |
| Phil Accio vs Jun | 38–43 | 46.91% |
| Phil Accio vs Dragunov | 34–46 | 42.50% |
| Phil Accio vs Steve | 43–33 | 56.58% |
| Phil Accio vs Paul | 30–44 | 40.54% |
| Phil Accio vs Yoshimitsu | 35–36 | 49.30% |
| Phil Accio vs Lee | 34–36 | 48.57% |
| Phil Accio vs Heihachi | 34–32 | 51.52% |
| Phil Accio vs Eddy | 25–38 | 39.68% |
| Phil Accio vs Lars | 32–28 | 53.33% |
| Phil Accio vs Xiaoyu | 32–21 | 60.38% |
| Phil Accio vs Raven | 30–20 | 60.00% |
| Phil Accio vs Alisa | 25–21 | 54.35% |
| Phil Accio vs Nina | 21–24 | 46.67% |
| Phil Accio vs Leroy | 16–28 | 36.36% |
| Phil Accio vs Victor | 15–29 | 34.09% |
| Phil Accio vs Devil Jin | 19–23 | 45.24% |
| Phil Accio vs Feng | 22–18 | 55.00% |
| Phil Accio vs Claudio | 14–25 | 35.90% |
| Phil Accio vs Jack-8 | 16–21 | 43.24% |
| Phil Accio vs Leo | 15–21 | 41.67% |
| Phil Accio vs Lidia | 9–15 | 37.50% |
| Phil Accio vs Kuma | 8–13 | 38.10% |
| Phil Accio vs Clive | 4–14 | 22.22% |
| Phil Accio vs Fahkumram | 3–15 | 16.67% |
| Phil Accio vs Shaheen | 6–11 | 35.29% |
| Phil Accio vs Zafina | 6–11 | 35.29% |
| Phil Accio vs Panda | 3–9 | 25.00% |
| Phil Accio vs Anna | 3–7 | 30.00% |
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.