| DV | buff zaf vs Kazuya | 85–70 | 54.84% |
| DV | buff zaf vs Jin | 66–50 | 56.90% |
| DV | buff zaf vs Bryan | 63–39 | 61.76% |
| DV | buff zaf vs Reina | 56–39 | 58.95% |
| DV | buff zaf vs King | 33–44 | 42.86% |
| DV | buff zaf vs Steve | 45–31 | 59.21% |
| DV | buff zaf vs Lidia | 35–28 | 55.56% |
| DV | buff zaf vs Lee | 36–21 | 63.16% |
| DV | buff zaf vs Hwoarang | 36–20 | 64.29% |
| DV | buff zaf vs Paul | 29–24 | 54.72% |
| DV | buff zaf vs Heihachi | 34–18 | 65.38% |
| DV | buff zaf vs Law | 23–27 | 46.00% |
| DV | buff zaf vs Yoshimitsu | 38–12 | 76.00% |
| DV | buff zaf vs Devil Jin | 22–27 | 44.90% |
| DV | buff zaf vs Alisa | 17–26 | 39.53% |
| DV | buff zaf vs Asuka | 22–19 | 53.66% |
| DV | buff zaf vs Jun | 21–17 | 55.26% |
| DV | buff zaf vs Victor | 20–18 | 52.63% |
| DV | buff zaf vs Dragunov | 22–15 | 59.46% |
| DV | buff zaf vs Lars | 17–14 | 54.84% |
| DV | buff zaf vs Nina | 14–17 | 45.16% |
| DV | buff zaf vs Eddy | 16–15 | 51.61% |
| DV | buff zaf vs Xiaoyu | 13–17 | 43.33% |
| DV | buff zaf vs Feng | 16–14 | 53.33% |
| DV | buff zaf vs Lili | 19–9 | 67.86% |
| DV | buff zaf vs Azucena | 12–15 | 44.44% |
| DV | buff zaf vs Leo | 13–11 | 54.17% |
| DV | buff zaf vs Raven | 11–11 | 50.00% |
| DV | buff zaf vs Jack-8 | 7–10 | 41.18% |
| DV | buff zaf vs Kuma | 4–11 | 26.67% |
| DV | buff zaf vs Leroy | 8–3 | 72.73% |
| DV | buff zaf vs Claudio | 7–2 | 77.78% |
| DV | buff zaf vs Shaheen | 5–3 | 62.50% |
| DV | buff zaf vs Clive | 4–4 | 50.00% |
| DV | buff zaf vs Anna | 3–5 | 37.50% |
| DV | buff zaf vs Zafina | 1–5 | 16.67% |
| DV | buff zaf vs Panda | 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.