| ZIPPO vs Armor King | 28–34 | 45.16% |
| ZIPPO vs Fahkumram | 19–35 | 35.19% |
| ZIPPO vs Kazuya | 30–17 | 63.83% |
| ZIPPO vs Reina | 24–10 | 70.59% |
| ZIPPO vs Hwoarang | 18–11 | 62.07% |
| ZIPPO vs King | 15–13 | 53.57% |
| ZIPPO vs Bryan | 13–15 | 46.43% |
| ZIPPO vs Steve | 18–9 | 66.67% |
| ZIPPO vs Dragunov | 13–13 | 50.00% |
| ZIPPO vs Asuka | 9–16 | 36.00% |
| ZIPPO vs Heihachi | 11–12 | 47.83% |
| ZIPPO vs Paul | 9–13 | 40.91% |
| ZIPPO vs Claudio | 8–8 | 50.00% |
| ZIPPO vs Clive | 9–7 | 56.25% |
| ZIPPO vs Law | 8–6 | 57.14% |
| ZIPPO vs Feng | 8–6 | 57.14% |
| ZIPPO vs Devil Jin | 8–5 | 61.54% |
| ZIPPO vs Azucena | 8–5 | 61.54% |
| ZIPPO vs Lars | 9–3 | 75.00% |
| ZIPPO vs Xiaoyu | 7–4 | 63.64% |
| ZIPPO vs Jin | 3–8 | 27.27% |
| ZIPPO vs Alisa | 4–7 | 36.36% |
| ZIPPO vs Jack-8 | 6–4 | 60.00% |
| ZIPPO vs Leo | 8–2 | 80.00% |
| ZIPPO vs Miary Zo | 5–5 | 50.00% |
| ZIPPO vs Anna | 4–5 | 44.44% |
| ZIPPO vs Lili | 5–3 | 62.50% |
| ZIPPO vs Yoshimitsu | 4–3 | 57.14% |
| ZIPPO vs Zafina | 2–5 | 28.57% |
| ZIPPO vs Lidia | 0–7 | 0.00% |
| ZIPPO vs Nina | 2–4 | 33.33% |
| ZIPPO vs Lee | 3–3 | 50.00% |
| ZIPPO vs Raven | 2–4 | 33.33% |
| ZIPPO vs Leroy | 2–3 | 40.00% |
| ZIPPO vs Victor | 5–0 | 100.00% |
| ZIPPO vs Panda | 1–2 | 33.33% |
| ZIPPO vs Jun | 0–2 | 0.00% |
| ZIPPO vs Eddy | 1–1 | 50.00% |
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.