| zimzalajim vs Jin | 64–57 | 52.89% |
| zimzalajim vs Kazuya | 50–55 | 47.62% |
| zimzalajim vs Law | 30–47 | 38.96% |
| zimzalajim vs King | 42–26 | 61.76% |
| zimzalajim vs Lili | 25–39 | 39.06% |
| zimzalajim vs Hwoarang | 20–33 | 37.74% |
| zimzalajim vs Bryan | 22–30 | 42.31% |
| zimzalajim vs Steve | 23–26 | 46.94% |
| zimzalajim vs Eddy | 25–20 | 55.56% |
| zimzalajim vs Reina | 21–22 | 48.84% |
| zimzalajim vs Xiaoyu | 16–23 | 41.03% |
| zimzalajim vs Paul | 17–21 | 44.74% |
| zimzalajim vs Yoshimitsu | 17–21 | 44.74% |
| zimzalajim vs Victor | 15–23 | 39.47% |
| zimzalajim vs Devil Jin | 12–22 | 35.29% |
| zimzalajim vs Dragunov | 18–16 | 52.94% |
| zimzalajim vs Heihachi | 21–11 | 65.62% |
| zimzalajim vs Lee | 13–16 | 44.83% |
| zimzalajim vs Alisa | 17–11 | 60.71% |
| zimzalajim vs Asuka | 17–8 | 68.00% |
| zimzalajim vs Jun | 11–14 | 44.00% |
| zimzalajim vs Feng | 9–15 | 37.50% |
| zimzalajim vs Lars | 10–14 | 41.67% |
| zimzalajim vs Lidia | 13–11 | 54.17% |
| zimzalajim vs Jack-8 | 14–4 | 77.78% |
| zimzalajim vs Clive | 7–11 | 38.89% |
| zimzalajim vs Azucena | 8–9 | 47.06% |
| zimzalajim vs Claudio | 7–8 | 46.67% |
| zimzalajim vs Kuma | 10–4 | 71.43% |
| zimzalajim vs Nina | 8–5 | 61.54% |
| zimzalajim vs Fahkumram | 3–10 | 23.08% |
| zimzalajim vs Leo | 4–7 | 36.36% |
| zimzalajim vs Anna | 5–6 | 45.45% |
| zimzalajim vs Leroy | 3–7 | 30.00% |
| zimzalajim vs Raven | 3–7 | 30.00% |
| zimzalajim vs Shaheen | 3–4 | 42.86% |
| zimzalajim vs Armor King | 3–2 | 60.00% |
| zimzalajim vs Panda | 1–3 | 25.00% |
| zimzalajim vs Zafina | 1–3 | 25.00% |
| zimzalajim vs Miary Zo | 1–2 | 33.33% |
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.