| iluvpdiddy vs Kazuya | 163–168 | 49.24% |
| iluvpdiddy vs Hwoarang | 154–147 | 51.16% |
| iluvpdiddy vs Bryan | 143–158 | 47.51% |
| iluvpdiddy vs Jin | 146–151 | 49.16% |
| iluvpdiddy vs King | 127–121 | 51.21% |
| iluvpdiddy vs Heihachi | 103–114 | 47.47% |
| iluvpdiddy vs Reina | 112–100 | 52.83% |
| iluvpdiddy vs Law | 78–116 | 40.21% |
| iluvpdiddy vs Dragunov | 88–97 | 47.57% |
| iluvpdiddy vs Paul | 90–87 | 50.85% |
| iluvpdiddy vs Yoshimitsu | 90–84 | 51.72% |
| iluvpdiddy vs Armor King | 88–85 | 50.87% |
| iluvpdiddy vs Steve | 72–92 | 43.90% |
| iluvpdiddy vs Lili | 84–66 | 56.00% |
| iluvpdiddy vs Lee | 54–76 | 41.54% |
| iluvpdiddy vs Devil Jin | 58–64 | 47.54% |
| iluvpdiddy vs Fahkumram | 63–57 | 52.50% |
| iluvpdiddy vs Asuka | 58–52 | 52.73% |
| iluvpdiddy vs Eddy | 47–55 | 46.08% |
| iluvpdiddy vs Jun | 51–45 | 53.12% |
| iluvpdiddy vs Anna | 48–48 | 50.00% |
| iluvpdiddy vs Azucena | 48–43 | 52.75% |
| iluvpdiddy vs Nina | 40–49 | 44.94% |
| iluvpdiddy vs Feng | 38–50 | 43.18% |
| iluvpdiddy vs Leo | 41–44 | 48.24% |
| iluvpdiddy vs Lars | 41–44 | 48.24% |
| iluvpdiddy vs Victor | 50–22 | 69.44% |
| iluvpdiddy vs Claudio | 32–39 | 45.07% |
| iluvpdiddy vs Xiaoyu | 39–31 | 55.71% |
| iluvpdiddy vs Alisa | 33–36 | 47.83% |
| iluvpdiddy vs Clive | 40–29 | 57.97% |
| iluvpdiddy vs Lidia | 29–35 | 45.31% |
| iluvpdiddy vs Raven | 31–32 | 49.21% |
| iluvpdiddy vs Leroy | 30–26 | 53.57% |
| iluvpdiddy vs Zafina | 20–25 | 44.44% |
| iluvpdiddy vs Jack-8 | 12–28 | 30.00% |
| iluvpdiddy vs Shaheen | 17–16 | 51.52% |
| iluvpdiddy vs Miary Zo | 13–11 | 54.17% |
| iluvpdiddy vs Panda | 8–7 | 53.33% |
| iluvpdiddy vs Kuma | 7–7 | 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.