| Tuti vs King | 42–72 | 36.84% |
| Tuti vs Steve | 37–55 | 40.22% |
| Tuti vs Jin | 22–37 | 37.29% |
| Tuti vs Armor King | 14–40 | 25.93% |
| Tuti vs Eddy | 14–37 | 27.45% |
| Tuti vs Asuka | 24–21 | 53.33% |
| Tuti vs Lili | 18–26 | 40.91% |
| Tuti vs Reina | 17–27 | 38.64% |
| Tuti vs Dragunov | 11–29 | 27.50% |
| Tuti vs Kazuya | 7–27 | 20.59% |
| Tuti vs Miary Zo | 10–22 | 31.25% |
| Tuti vs Law | 11–15 | 42.31% |
| Tuti vs Jun | 10–15 | 40.00% |
| Tuti vs Kuma | 10–13 | 43.48% |
| Tuti vs Azucena | 5–17 | 22.73% |
| Tuti vs Victor | 7–13 | 35.00% |
| Tuti vs Heihachi | 10–10 | 50.00% |
| Tuti vs Hwoarang | 8–11 | 42.11% |
| Tuti vs Yoshimitsu | 11–6 | 64.71% |
| Tuti vs Alisa | 8–9 | 47.06% |
| Tuti vs Bryan | 4–11 | 26.67% |
| Tuti vs Feng | 5–9 | 35.71% |
| Tuti vs Nina | 6–8 | 42.86% |
| Tuti vs Leo | 9–4 | 69.23% |
| Tuti vs Lidia | 2–9 | 18.18% |
| Tuti vs Fahkumram | 3–8 | 27.27% |
| Tuti vs Paul | 2–8 | 20.00% |
| Tuti vs Devil Jin | 1–9 | 10.00% |
| Tuti vs Leroy | 3–7 | 30.00% |
| Tuti vs Xiaoyu | 3–6 | 33.33% |
| Tuti vs Zafina | 4–5 | 44.44% |
| Tuti vs Claudio | 1–6 | 14.29% |
| Tuti vs Clive | 0–7 | 0.00% |
| Tuti vs Lee | 2–4 | 33.33% |
| Tuti vs Raven | 0–6 | 0.00% |
| Tuti vs Lars | 0–5 | 0.00% |
| Tuti vs Anna | 3–2 | 60.00% |
| Tuti vs Shaheen | 1–3 | 25.00% |
| Tuti vs Jack-8 | 1–2 | 33.33% |
| Tuti vs Panda | 0–1 | 0.00% |
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.