| ishida vs Kazuya | 38–44 | 46.34% |
| ishida vs Bryan | 30–36 | 45.45% |
| ishida vs King | 34–27 | 55.74% |
| ishida vs Reina | 31–16 | 65.96% |
| ishida vs Jin | 22–22 | 50.00% |
| ishida vs Dragunov | 21–23 | 47.73% |
| ishida vs Heihachi | 17–16 | 51.52% |
| ishida vs Asuka | 8–20 | 28.57% |
| ishida vs Yoshimitsu | 15–12 | 55.56% |
| ishida vs Steve | 13–14 | 48.15% |
| ishida vs Law | 9–13 | 40.91% |
| ishida vs Hwoarang | 5–17 | 22.73% |
| ishida vs Lili | 13–8 | 61.90% |
| ishida vs Nina | 6–13 | 31.58% |
| ishida vs Paul | 9–8 | 52.94% |
| ishida vs Jun | 11–6 | 64.71% |
| ishida vs Devil Jin | 3–10 | 23.08% |
| ishida vs Lars | 8–5 | 61.54% |
| ishida vs Lidia | 10–2 | 83.33% |
| ishida vs Xiaoyu | 6–5 | 54.55% |
| ishida vs Alisa | 5–6 | 45.45% |
| ishida vs Eddy | 2–9 | 18.18% |
| ishida vs Claudio | 3–7 | 30.00% |
| ishida vs Armor King | 6–4 | 60.00% |
| ishida vs Feng | 4–5 | 44.44% |
| ishida vs Azucena | 4–5 | 44.44% |
| ishida vs Clive | 6–3 | 66.67% |
| ishida vs Fahkumram | 6–3 | 66.67% |
| ishida vs Lee | 2–4 | 33.33% |
| ishida vs Victor | 4–1 | 80.00% |
| ishida vs Anna | 1–3 | 25.00% |
| ishida vs Jack-8 | 2–1 | 66.67% |
| ishida vs Leo | 0–3 | 0.00% |
| ishida vs Shaheen | 2–1 | 66.67% |
| ishida vs Panda | 2–1 | 66.67% |
| ishida vs Raven | 2–0 | 100.00% |
| ishida vs Kuma | 0–1 | 0.00% |
| ishida vs Leroy | 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.