| ToadMageSage vs Reina | 57–85 | 40.14% |
| ToadMageSage vs Jin | 73–67 | 52.14% |
| ToadMageSage vs Steve | 69–71 | 49.29% |
| ToadMageSage vs King | 60–73 | 45.11% |
| ToadMageSage vs Kazuya | 49–61 | 44.55% |
| ToadMageSage vs Hwoarang | 44–64 | 40.74% |
| ToadMageSage vs Bryan | 46–54 | 46.00% |
| ToadMageSage vs Lili | 42–54 | 43.75% |
| ToadMageSage vs Azucena | 35–52 | 40.23% |
| ToadMageSage vs Jun | 45–31 | 59.21% |
| ToadMageSage vs Dragunov | 34–37 | 47.89% |
| ToadMageSage vs Yoshimitsu | 36–27 | 57.14% |
| ToadMageSage vs Lee | 28–33 | 45.90% |
| ToadMageSage vs Law | 25–32 | 43.86% |
| ToadMageSage vs Asuka | 26–31 | 45.61% |
| ToadMageSage vs Heihachi | 21–32 | 39.62% |
| ToadMageSage vs Xiaoyu | 33–18 | 64.71% |
| ToadMageSage vs Leo | 19–32 | 37.25% |
| ToadMageSage vs Eddy | 16–33 | 32.65% |
| ToadMageSage vs Devil Jin | 23–25 | 47.92% |
| ToadMageSage vs Paul | 13–34 | 27.66% |
| ToadMageSage vs Lars | 24–21 | 53.33% |
| ToadMageSage vs Victor | 14–28 | 33.33% |
| ToadMageSage vs Feng | 18–16 | 52.94% |
| ToadMageSage vs Leroy | 8–24 | 25.00% |
| ToadMageSage vs Nina | 15–16 | 48.39% |
| ToadMageSage vs Lidia | 16–14 | 53.33% |
| ToadMageSage vs Raven | 13–15 | 46.43% |
| ToadMageSage vs Kuma | 12–15 | 44.44% |
| ToadMageSage vs Clive | 13–14 | 48.15% |
| ToadMageSage vs Claudio | 8–16 | 33.33% |
| ToadMageSage vs Jack-8 | 6–17 | 26.09% |
| ToadMageSage vs Shaheen | 9–10 | 47.37% |
| ToadMageSage vs Zafina | 11–6 | 64.71% |
| ToadMageSage vs Alisa | 3–11 | 21.43% |
| ToadMageSage vs Panda | 3–11 | 21.43% |
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.