| WITTYSLUGG vs King | 64–43 | 59.81% |
| WITTYSLUGG vs Steve | 49–39 | 55.68% |
| WITTYSLUGG vs Bryan | 37–31 | 54.41% |
| WITTYSLUGG vs Paul | 40–25 | 61.54% |
| WITTYSLUGG vs Dragunov | 39–26 | 60.00% |
| WITTYSLUGG vs Jin | 33–24 | 57.89% |
| WITTYSLUGG vs Yoshimitsu | 34–14 | 70.83% |
| WITTYSLUGG vs Kazuya | 17–30 | 36.17% |
| WITTYSLUGG vs Hwoarang | 26–19 | 57.78% |
| WITTYSLUGG vs Lee | 23–18 | 56.10% |
| WITTYSLUGG vs Lars | 16–18 | 47.06% |
| WITTYSLUGG vs Lili | 14–18 | 43.75% |
| WITTYSLUGG vs Victor | 20–12 | 62.50% |
| WITTYSLUGG vs Law | 14–16 | 46.67% |
| WITTYSLUGG vs Devil Jin | 11–15 | 42.31% |
| WITTYSLUGG vs Lidia | 11–13 | 45.83% |
| WITTYSLUGG vs Kuma | 14–9 | 60.87% |
| WITTYSLUGG vs Jun | 13–10 | 56.52% |
| WITTYSLUGG vs Nina | 13–9 | 59.09% |
| WITTYSLUGG vs Clive | 11–11 | 50.00% |
| WITTYSLUGG vs Claudio | 11–10 | 52.38% |
| WITTYSLUGG vs Reina | 9–12 | 42.86% |
| WITTYSLUGG vs Azucena | 16–5 | 76.19% |
| WITTYSLUGG vs Alisa | 13–6 | 68.42% |
| WITTYSLUGG vs Asuka | 11–6 | 64.71% |
| WITTYSLUGG vs Raven | 12–5 | 70.59% |
| WITTYSLUGG vs Eddy | 12–2 | 85.71% |
| WITTYSLUGG vs Heihachi | 7–7 | 50.00% |
| WITTYSLUGG vs Leo | 7–6 | 53.85% |
| WITTYSLUGG vs Xiaoyu | 8–3 | 72.73% |
| WITTYSLUGG vs Jack-8 | 8–3 | 72.73% |
| WITTYSLUGG vs Feng | 1–9 | 10.00% |
| WITTYSLUGG vs Anna | 1–9 | 10.00% |
| WITTYSLUGG vs Leroy | 4–4 | 50.00% |
| WITTYSLUGG vs Panda | 2–4 | 33.33% |
| WITTYSLUGG vs Fahkumram | 4–2 | 66.67% |
| WITTYSLUGG vs Shaheen | 5–0 | 100.00% |
| WITTYSLUGG vs Zafina | 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.