| Toekilla69 vs Dragunov | 23–10 | 69.70% |
| Toekilla69 vs Steve | 20–7 | 74.07% |
| Toekilla69 vs Reina | 11–12 | 47.83% |
| Toekilla69 vs King | 14–6 | 70.00% |
| Toekilla69 vs Kazuya | 12–6 | 66.67% |
| Toekilla69 vs Heihachi | 11–7 | 61.11% |
| Toekilla69 vs Law | 7–9 | 43.75% |
| Toekilla69 vs Leo | 9–7 | 56.25% |
| Toekilla69 vs Jun | 9–7 | 56.25% |
| Toekilla69 vs Asuka | 8–7 | 53.33% |
| Toekilla69 vs Paul | 9–4 | 69.23% |
| Toekilla69 vs Xiaoyu | 7–5 | 58.33% |
| Toekilla69 vs Jin | 7–5 | 58.33% |
| Toekilla69 vs Bryan | 7–4 | 63.64% |
| Toekilla69 vs Azucena | 5–6 | 45.45% |
| Toekilla69 vs Clive | 6–4 | 60.00% |
| Toekilla69 vs Devil Jin | 5–3 | 62.50% |
| Toekilla69 vs Eddy | 4–4 | 50.00% |
| Toekilla69 vs Anna | 3–5 | 37.50% |
| Toekilla69 vs Yoshimitsu | 6–1 | 85.71% |
| Toekilla69 vs Lili | 5–2 | 71.43% |
| Toekilla69 vs Lars | 6–1 | 85.71% |
| Toekilla69 vs Leroy | 6–1 | 85.71% |
| Toekilla69 vs Hwoarang | 4–2 | 66.67% |
| Toekilla69 vs Alisa | 3–2 | 60.00% |
| Toekilla69 vs Lee | 3–2 | 60.00% |
| Toekilla69 vs Fahkumram | 3–2 | 60.00% |
| Toekilla69 vs Armor King | 5–0 | 100.00% |
| Toekilla69 vs Nina | 3–1 | 75.00% |
| Toekilla69 vs Lidia | 2–2 | 50.00% |
| Toekilla69 vs Feng | 3–0 | 100.00% |
| Toekilla69 vs Kuma | 3–0 | 100.00% |
| Toekilla69 vs Zafina | 2–1 | 66.67% |
| Toekilla69 vs Jack-8 | 0–2 | 0.00% |
| Toekilla69 vs Claudio | 2–0 | 100.00% |
| Toekilla69 vs Shaheen | 2–0 | 100.00% |
| Toekilla69 vs Panda | 2–0 | 100.00% |
| Toekilla69 vs Victor | 1–1 | 50.00% |
| Toekilla69 vs Raven | 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.