| Toji vs Jin | 45–6 | 88.24% |
| Toji vs Steve | 38–3 | 92.68% |
| Toji vs Kazuya | 33–7 | 82.50% |
| Toji vs King | 25–9 | 73.53% |
| Toji vs Hwoarang | 20–4 | 83.33% |
| Toji vs Heihachi | 18–6 | 75.00% |
| Toji vs Lars | 18–2 | 90.00% |
| Toji vs Reina | 18–2 | 90.00% |
| Toji vs Victor | 12–7 | 63.16% |
| Toji vs Xiaoyu | 14–3–1 | 82.35% |
| Toji vs Lee | 15–3 | 83.33% |
| Toji vs Dragunov | 14–3 | 82.35% |
| Toji vs Yoshimitsu | 11–5 | 68.75% |
| Toji vs Law | 11–3 | 78.57% |
| Toji vs Clive | 12–2 | 85.71% |
| Toji vs Paul | 10–3 | 76.92% |
| Toji vs Asuka | 10–3 | 76.92% |
| Toji vs Alisa | 12–1 | 92.31% |
| Toji vs Nina | 9–3 | 75.00% |
| Toji vs Jun | 7–5 | 58.33% |
| Toji vs Feng | 10–0 | 100.00% |
| Toji vs Azucena | 9–1 | 90.00% |
| Toji vs Armor King | 8–2 | 80.00% |
| Toji vs Leroy | 6–3 | 66.67% |
| Toji vs Devil Jin | 7–1 | 87.50% |
| Toji vs Claudio | 6–2 | 75.00% |
| Toji vs Bryan | 5–2 | 71.43% |
| Toji vs Lili | 7–0 | 100.00% |
| Toji vs Kuma | 5–1 | 83.33% |
| Toji vs Eddy | 3–3 | 50.00% |
| Toji vs Zafina | 4–1 | 80.00% |
| Toji vs Jack-8 | 4–0 | 100.00% |
| Toji vs Leo | 2–2 | 50.00% |
| Toji vs Raven | 2–2 | 50.00% |
| Toji vs Fahkumram | 4–0 | 100.00% |
| Toji vs Shaheen | 1–2 | 33.33% |
| Toji vs Anna | 3–0 | 100.00% |
| Toji vs Lidia | 1–0 | 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.