| Tunometecabra vs Jin | 14–17 | 45.16% |
| Tunometecabra vs Steve | 12–15 | 44.44% |
| Tunometecabra vs Eddy | 17–9 | 65.38% |
| Tunometecabra vs Law | 13–6 | 68.42% |
| Tunometecabra vs King | 10–9 | 52.63% |
| Tunometecabra vs Hwoarang | 9–7 | 56.25% |
| Tunometecabra vs Reina | 14–2 | 87.50% |
| Tunometecabra vs Miary Zo | 10–6 | 62.50% |
| Tunometecabra vs Lili | 9–5 | 64.29% |
| Tunometecabra vs Xiaoyu | 7–6 | 53.85% |
| Tunometecabra vs Asuka | 6–7 | 46.15% |
| Tunometecabra vs Bryan | 6–6 | 50.00% |
| Tunometecabra vs Yoshimitsu | 11–0 | 100.00% |
| Tunometecabra vs Azucena | 2–6 | 25.00% |
| Tunometecabra vs Kazuya | 2–5 | 28.57% |
| Tunometecabra vs Jun | 0–6 | 0.00% |
| Tunometecabra vs Paul | 0–4 | 0.00% |
| Tunometecabra vs Panda | 4–0 | 100.00% |
| Tunometecabra vs Lidia | 2–2 | 50.00% |
| Tunometecabra vs Fahkumram | 2–2 | 50.00% |
| Tunometecabra vs Nina | 2–1 | 66.67% |
| Tunometecabra vs Victor | 3–0 | 100.00% |
| Tunometecabra vs Clive | 1–2 | 33.33% |
| Tunometecabra vs Anna | 1–2 | 33.33% |
| Tunometecabra vs Jack-8 | 2–0 | 100.00% |
| Tunometecabra vs Devil Jin | 1–1 | 50.00% |
| Tunometecabra vs Feng | 0–2 | 0.00% |
| Tunometecabra vs Dragunov | 0–2 | 0.00% |
| Tunometecabra vs Lars | 1–1 | 50.00% |
| Tunometecabra vs Claudio | 2–0 | 100.00% |
| Tunometecabra vs Shaheen | 0–2 | 0.00% |
| Tunometecabra vs Zafina | 2–0 | 100.00% |
| Tunometecabra vs Leroy | 0–2 | 0.00% |
| Tunometecabra vs Raven | 2–0 | 100.00% |
| Tunometecabra vs Alisa | 1–0 | 100.00% |
| Tunometecabra 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.