| Tuna vs Reina | 25–18 | 58.14% |
| Tuna vs Hwoarang | 24–17 | 58.54% |
| Tuna vs Jin | 19–13 | 59.38% |
| Tuna vs Clive | 16–15 | 51.61% |
| Tuna vs Kazuya | 22–5 | 81.48% |
| Tuna vs King | 17–9 | 65.38% |
| Tuna vs Dragunov | 20–5 | 80.00% |
| Tuna vs Lili | 17–7 | 70.83% |
| Tuna vs Bryan | 15–8 | 65.22% |
| Tuna vs Lars | 14–8 | 63.64% |
| Tuna vs Asuka | 20–0 | 100.00% |
| Tuna vs Law | 16–2 | 88.89% |
| Tuna vs Jun | 12–6 | 66.67% |
| Tuna vs Victor | 11–7 | 61.11% |
| Tuna vs Eddy | 12–6 | 66.67% |
| Tuna vs Paul | 15–2 | 88.24% |
| Tuna vs Azucena | 11–6 | 64.71% |
| Tuna vs Steve | 10–5 | 66.67% |
| Tuna vs Feng | 9–6 | 60.00% |
| Tuna vs Armor King | 12–3 | 80.00% |
| Tuna vs Miary Zo | 10–5 | 66.67% |
| Tuna vs Nina | 10–4 | 71.43% |
| Tuna vs Xiaoyu | 9–3 | 75.00% |
| Tuna vs Lee | 7–5 | 58.33% |
| Tuna vs Kuma | 9–2 | 81.82% |
| Tuna vs Yoshimitsu | 5–4 | 55.56% |
| Tuna vs Alisa | 7–2 | 77.78% |
| Tuna vs Leroy | 6–3 | 66.67% |
| Tuna vs Raven | 4–4 | 50.00% |
| Tuna vs Lidia | 6–2 | 75.00% |
| Tuna vs Jack-8 | 2–5 | 28.57% |
| Tuna vs Claudio | 4–3 | 57.14% |
| Tuna vs Shaheen | 6–1 | 85.71% |
| Tuna vs Devil Jin | 4–2 | 66.67% |
| Tuna vs Leo | 4–2 | 66.67% |
| Tuna vs Heihachi | 4–1 | 80.00% |
| Tuna vs Anna | 4–1 | 80.00% |
| Tuna vs Zafina | 3–0 | 100.00% |
| Tuna vs Panda | 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.