| Tump vs King | 17–68 | 20.00% |
| Tump vs Hwoarang | 23–40 | 36.51% |
| Tump vs Steve | 14–35 | 28.57% |
| Tump vs Jin | 9–36 | 20.00% |
| Tump vs Dragunov | 12–31 | 27.91% |
| Tump vs Reina | 11–32 | 25.58% |
| Tump vs Law | 7–34 | 17.07% |
| Tump vs Kazuya | 13–23 | 36.11% |
| Tump vs Lili | 9–24 | 27.27% |
| Tump vs Miary Zo | 6–26 | 18.75% |
| Tump vs Bryan | 8–22 | 26.67% |
| Tump vs Eddy | 8–22 | 26.67% |
| Tump vs Azucena | 5–22 | 18.52% |
| Tump vs Lidia | 8–18 | 30.77% |
| Tump vs Jun | 6–18 | 25.00% |
| Tump vs Victor | 3–20 | 13.04% |
| Tump vs Armor King | 7–15 | 31.82% |
| Tump vs Jack-8 | 2–18 | 10.00% |
| Tump vs Claudio | 4–16 | 20.00% |
| Tump vs Yoshimitsu | 1–18 | 5.26% |
| Tump vs Clive | 3–14 | 17.65% |
| Tump vs Nina | 8–8 | 50.00% |
| Tump vs Lee | 0–14 | 0.00% |
| Tump vs Asuka | 4–9 | 30.77% |
| Tump vs Heihachi | 1–12 | 7.69% |
| Tump vs Lars | 0–12 | 0.00% |
| Tump vs Anna | 4–7 | 36.36% |
| Tump vs Devil Jin | 2–7 | 22.22% |
| Tump vs Xiaoyu | 1–6 | 14.29% |
| Tump vs Raven | 0–7 | 0.00% |
| Tump vs Fahkumram | 2–5 | 28.57% |
| Tump vs Feng | 0–6 | 0.00% |
| Tump vs Alisa | 0–4 | 0.00% |
| Tump vs Leroy | 0–4 | 0.00% |
| Tump vs Paul | 1–2 | 33.33% |
| Tump vs Leo | 0–2 | 0.00% |
| Tump vs Zafina | 0–2 | 0.00% |
| Tump vs Shaheen | 1–0 | 100.00% |
| Tump vs Kuma | 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.