| Tufao vs Bryan | 49–53 | 48.04% |
| Tufao vs Kazuya | 51–48 | 51.52% |
| Tufao vs Dragunov | 39–50 | 43.82% |
| Tufao vs King | 44–42 | 51.16% |
| Tufao vs Jin | 40–42 | 48.78% |
| Tufao vs Reina | 48–31 | 60.76% |
| Tufao vs Clive | 37–28 | 56.92% |
| Tufao vs Leroy | 32–25 | 56.14% |
| Tufao vs Paul | 19–32 | 37.25% |
| Tufao vs Lee | 22–22 | 50.00% |
| Tufao vs Law | 19–24 | 44.19% |
| Tufao vs Hwoarang | 21–22 | 48.84% |
| Tufao vs Steve | 25–17 | 59.52% |
| Tufao vs Azucena | 20–19 | 51.28% |
| Tufao vs Lili | 12–25 | 32.43% |
| Tufao vs Xiaoyu | 22–14 | 61.11% |
| Tufao vs Eddy | 23–13 | 63.89% |
| Tufao vs Alisa | 20–15 | 57.14% |
| Tufao vs Asuka | 17–16 | 51.52% |
| Tufao vs Nina | 13–20 | 39.39% |
| Tufao vs Kuma | 14–17 | 45.16% |
| Tufao vs Heihachi | 20–11 | 64.52% |
| Tufao vs Lars | 15–14 | 51.72% |
| Tufao vs Claudio | 11–18 | 37.93% |
| Tufao vs Jun | 15–14 | 51.72% |
| Tufao vs Lidia | 16–12 | 57.14% |
| Tufao vs Devil Jin | 13–13 | 50.00% |
| Tufao vs Yoshimitsu | 10–14 | 41.67% |
| Tufao vs Victor | 18–5 | 78.26% |
| Tufao vs Leo | 10–11 | 47.62% |
| Tufao vs Jack-8 | 10–9 | 52.63% |
| Tufao vs Feng | 8–6 | 57.14% |
| Tufao vs Shaheen | 3–7 | 30.00% |
| Tufao vs Raven | 3–6 | 33.33% |
| Tufao vs Panda | 3–5 | 37.50% |
| Tufao vs Zafina | 3–4 | 42.86% |
| Tufao vs Miary Zo | 4–1 | 80.00% |
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.