| Zwihbln vs Kazuya | 17–23 | 42.50% |
| Zwihbln vs Jin | 18–14 | 56.25% |
| Zwihbln vs Reina | 17–8 | 68.00% |
| Zwihbln vs Steve | 12–10 | 54.55% |
| Zwihbln vs Hwoarang | 9–12 | 42.86% |
| Zwihbln vs Bryan | 11–8 | 57.89% |
| Zwihbln vs Azucena | 10–9 | 52.63% |
| Zwihbln vs King | 12–4 | 75.00% |
| Zwihbln vs Asuka | 10–6 | 62.50% |
| Zwihbln vs Jun | 10–3 | 76.92% |
| Zwihbln vs Lili | 9–3 | 75.00% |
| Zwihbln vs Paul | 5–6 | 45.45% |
| Zwihbln vs Lars | 4–7 | 36.36% |
| Zwihbln vs Yoshimitsu | 2–8 | 20.00% |
| Zwihbln vs Leo | 9–1 | 90.00% |
| Zwihbln vs Feng | 5–4 | 55.56% |
| Zwihbln vs Law | 4–4 | 50.00% |
| Zwihbln vs Kuma | 3–5 | 37.50% |
| Zwihbln vs Eddy | 2–6 | 25.00% |
| Zwihbln vs Clive | 4–4 | 50.00% |
| Zwihbln vs Victor | 2–5 | 28.57% |
| Zwihbln vs Heihachi | 5–2 | 71.43% |
| Zwihbln vs Dragunov | 2–4 | 33.33% |
| Zwihbln vs Xiaoyu | 3–2 | 60.00% |
| Zwihbln vs Nina | 2–3 | 40.00% |
| Zwihbln vs Devil Jin | 2–2 | 50.00% |
| Zwihbln vs Shaheen | 3–1 | 75.00% |
| Zwihbln vs Lee | 3–1 | 75.00% |
| Zwihbln vs Lidia | 2–2 | 50.00% |
| Zwihbln vs Alisa | 2–1 | 66.67% |
| Zwihbln vs Raven | 2–1 | 66.67% |
| Zwihbln vs Jack-8 | 0–2 | 0.00% |
| Zwihbln vs Claudio | 2–0 | 100.00% |
| Zwihbln vs Zafina | 0–1 | 0.00% |
| Zwihbln vs Armor King | 1–0 | 100.00% |
| Zwihbln vs Miary Zo | 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.