| Toodles vs Bryan | 16–3 | 84.21% |
| Toodles vs Hwoarang | 16–2 | 88.89% |
| Toodles vs Armor King | 16–2 | 88.89% |
| Toodles vs King | 14–2 | 87.50% |
| Toodles vs Steve | 13–2 | 86.67% |
| Toodles vs Jun | 11–4 | 73.33% |
| Toodles vs Reina | 14–1 | 93.33% |
| Toodles vs Jin | 13–0 | 100.00% |
| Toodles vs Dragunov | 9–4 | 69.23% |
| Toodles vs Kazuya | 9–3 | 75.00% |
| Toodles vs Heihachi | 8–3 | 72.73% |
| Toodles vs Fahkumram | 10–0 | 100.00% |
| Toodles vs Law | 9–0 | 100.00% |
| Toodles vs Xiaoyu | 9–0 | 100.00% |
| Toodles vs Asuka | 9–0 | 100.00% |
| Toodles vs Lili | 8–0 | 100.00% |
| Toodles vs Azucena | 8–0 | 100.00% |
| Toodles vs Lee | 7–0 | 100.00% |
| Toodles vs Paul | 6–0 | 100.00% |
| Toodles vs Raven | 6–0 | 100.00% |
| Toodles vs Eddy | 6–0 | 100.00% |
| Toodles vs Lidia | 5–1 | 83.33% |
| Toodles vs Devil Jin | 5–0 | 100.00% |
| Toodles vs Feng | 5–0 | 100.00% |
| Toodles vs Lars | 5–0 | 100.00% |
| Toodles vs Claudio | 5–0 | 100.00% |
| Toodles vs Victor | 2–3 | 40.00% |
| Toodles vs Clive | 2–3 | 40.00% |
| Toodles vs Leo | 3–1 | 75.00% |
| Toodles vs Shaheen | 4–0 | 100.00% |
| Toodles vs Anna | 3–1 | 75.00% |
| Toodles vs Nina | 3–0 | 100.00% |
| Toodles vs Leroy | 2–1 | 66.67% |
| Toodles vs Jack-8 | 2–0 | 100.00% |
| Toodles vs Alisa | 2–0 | 100.00% |
| Toodles vs Panda | 2–0 | 100.00% |
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.