| Shalala vs King | 30–17 | 63.83% |
| Shalala vs Reina | 18–23 | 43.90% |
| Shalala vs Jin | 19–14 | 57.58% |
| Shalala vs Asuka | 15–17 | 46.88% |
| Shalala vs Xiaoyu | 15–16 | 48.39% |
| Shalala vs Eddy | 14–17 | 45.16% |
| Shalala vs Paul | 14–14 | 50.00% |
| Shalala vs Lili | 14–14 | 50.00% |
| Shalala vs Dragunov | 15–13 | 53.57% |
| Shalala vs Fahkumram | 16–11 | 59.26% |
| Shalala vs Bryan | 18–8 | 69.23% |
| Shalala vs Law | 10–12 | 45.45% |
| Shalala vs Kazuya | 12–9 | 57.14% |
| Shalala vs Alisa | 9–9 | 50.00% |
| Shalala vs Lars | 7–10 | 41.18% |
| Shalala vs Lee | 8–9 | 47.06% |
| Shalala vs Nina | 8–8 | 50.00% |
| Shalala vs Leo | 10–5 | 66.67% |
| Shalala vs Azucena | 6–9 | 40.00% |
| Shalala vs Jack-8 | 7–7 | 50.00% |
| Shalala vs Devil Jin | 3–11 | 21.43% |
| Shalala vs Feng | 9–5 | 64.29% |
| Shalala vs Hwoarang | 8–4 | 66.67% |
| Shalala vs Victor | 5–6 | 45.45% |
| Shalala vs Jun | 6–4 | 60.00% |
| Shalala vs Zafina | 5–4 | 55.56% |
| Shalala vs Raven | 3–5 | 37.50% |
| Shalala vs Heihachi | 1–6 | 14.29% |
| Shalala vs Steve | 0–6 | 0.00% |
| Shalala vs Claudio | 1–4 | 20.00% |
| Shalala vs Kuma | 2–3 | 40.00% |
| Shalala vs Yoshimitsu | 1–3 | 25.00% |
| Shalala vs Shaheen | 2–0 | 100.00% |
| Shalala vs Panda | 2–0 | 100.00% |
| Shalala vs Lidia | 0–2 | 0.00% |
| Shalala vs Clive | 2–0 | 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.