| Mild vs Kazuya | 24–21 | 53.33% |
| Mild vs Armor King | 24–14 | 63.16% |
| Mild vs Jin | 14–18 | 43.75% |
| Mild vs Miary Zo | 9–23 | 28.12% |
| Mild vs King | 13–18 | 41.94% |
| Mild vs Reina | 20–11 | 64.52% |
| Mild vs Lili | 10–19 | 34.48% |
| Mild vs Hwoarang | 6–22 | 21.43% |
| Mild vs Steve | 12–15 | 44.44% |
| Mild vs Dragunov | 11–16 | 40.74% |
| Mild vs Bryan | 15–10 | 60.00% |
| Mild vs Xiaoyu | 11–13 | 45.83% |
| Mild vs Heihachi | 12–12 | 50.00% |
| Mild vs Fahkumram | 16–8 | 66.67% |
| Mild vs Law | 14–7 | 66.67% |
| Mild vs Asuka | 14–7 | 66.67% |
| Mild vs Nina | 9–11 | 45.00% |
| Mild vs Yoshimitsu | 12–5 | 70.59% |
| Mild vs Clive | 4–10 | 28.57% |
| Mild vs Victor | 6–7 | 46.15% |
| Mild vs Devil Jin | 4–8 | 33.33% |
| Mild vs Azucena | 7–5 | 58.33% |
| Mild vs Paul | 5–5 | 50.00% |
| Mild vs Lars | 4–6 | 40.00% |
| Mild vs Anna | 6–4 | 60.00% |
| Mild vs Feng | 5–4 | 55.56% |
| Mild vs Jack-8 | 4–4 | 50.00% |
| Mild vs Jun | 2–6 | 25.00% |
| Mild vs Raven | 3–5 | 37.50% |
| Mild vs Lidia | 4–4 | 50.00% |
| Mild vs Leo | 7–0 | 100.00% |
| Mild vs Lee | 4–3 | 57.14% |
| Mild vs Eddy | 5–2 | 71.43% |
| Mild vs Alisa | 0–6 | 0.00% |
| Mild vs Kuma | 2–4 | 33.33% |
| Mild vs Leroy | 4–1 | 80.00% |
| Mild vs Shaheen | 0–2 | 0.00% |
| Mild vs Claudio | 1–0 | 100.00% |
| Mild vs Zafina | 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.