| T4BUNITO vs Jin | 75–76 | 49.67% |
| T4BUNITO vs Kazuya | 83–66 | 55.70% |
| T4BUNITO vs King | 67–52 | 56.30% |
| T4BUNITO vs Bryan | 48–53 | 47.52% |
| T4BUNITO vs Reina | 51–46 | 52.58% |
| T4BUNITO vs Lili | 30–65–1 | 31.58% |
| T4BUNITO vs Hwoarang | 30–40 | 42.86% |
| T4BUNITO vs Asuka | 39–30 | 56.52% |
| T4BUNITO vs Heihachi | 32–35 | 47.76% |
| T4BUNITO vs Law | 31–35 | 46.97% |
| T4BUNITO vs Steve | 27–33 | 45.00% |
| T4BUNITO vs Dragunov | 29–24 | 54.72% |
| T4BUNITO vs Lidia | 32–21 | 60.38% |
| T4BUNITO vs Paul | 19–33 | 36.54% |
| T4BUNITO vs Azucena | 25–27 | 48.08% |
| T4BUNITO vs Eddy | 27–24 | 52.94% |
| T4BUNITO vs Yoshimitsu | 27–23 | 54.00% |
| T4BUNITO vs Devil Jin | 20–25 | 44.44% |
| T4BUNITO vs Clive | 21–21 | 50.00% |
| T4BUNITO vs Nina | 18–22 | 45.00% |
| T4BUNITO vs Feng | 15–24 | 38.46% |
| T4BUNITO vs Jun | 12–27 | 30.77% |
| T4BUNITO vs Jack-8 | 14–22 | 38.89% |
| T4BUNITO vs Xiaoyu | 16–17 | 48.48% |
| T4BUNITO vs Alisa | 15–17 | 46.88% |
| T4BUNITO vs Victor | 16–11 | 59.26% |
| T4BUNITO vs Claudio | 10–15 | 40.00% |
| T4BUNITO vs Lee | 7–16 | 30.43% |
| T4BUNITO vs Leroy | 9–11 | 45.00% |
| T4BUNITO vs Panda | 7–10 | 41.18% |
| T4BUNITO vs Armor King | 8–8 | 50.00% |
| T4BUNITO vs Leo | 4–9 | 30.77% |
| T4BUNITO vs Lars | 6–5 | 54.55% |
| T4BUNITO vs Shaheen | 2–8 | 20.00% |
| T4BUNITO vs Zafina | 6–4 | 60.00% |
| T4BUNITO vs Kuma | 3–6 | 33.33% |
| T4BUNITO vs Raven | 1–7 | 12.50% |
| T4BUNITO vs Anna | 2–4 | 33.33% |
| T4BUNITO vs Miary Zo | 1–4 | 20.00% |
| T4BUNITO vs Fahkumram | 3–0 | 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.