| MxWiggle vs Kazuya | 54–47 | 53.47% |
| MxWiggle vs Bryan | 48–42 | 53.33% |
| MxWiggle vs King | 52–34 | 60.47% |
| MxWiggle vs Jin | 39–47 | 45.35% |
| MxWiggle vs Heihachi | 35–33 | 51.47% |
| MxWiggle vs Reina | 23–42 | 35.38% |
| MxWiggle vs Steve | 25–33 | 43.10% |
| MxWiggle vs Law | 28–26 | 51.85% |
| MxWiggle vs Azucena | 24–29 | 45.28% |
| MxWiggle vs Yoshimitsu | 21–21 | 50.00% |
| MxWiggle vs Dragunov | 26–15 | 63.41% |
| MxWiggle vs Hwoarang | 23–17 | 57.50% |
| MxWiggle vs Armor King | 14–26 | 35.00% |
| MxWiggle vs Paul | 16–19 | 45.71% |
| MxWiggle vs Asuka | 21–14 | 60.00% |
| MxWiggle vs Leo | 15–20 | 42.86% |
| MxWiggle vs Lili | 18–15 | 54.55% |
| MxWiggle vs Lidia | 14–19 | 42.42% |
| MxWiggle vs Jun | 17–14 | 54.84% |
| MxWiggle vs Xiaoyu | 15–14 | 51.72% |
| MxWiggle vs Devil Jin | 11–18 | 37.93% |
| MxWiggle vs Lee | 10–19 | 34.48% |
| MxWiggle vs Clive | 13–16 | 44.83% |
| MxWiggle vs Victor | 14–14 | 50.00% |
| MxWiggle vs Jack-8 | 14–12 | 53.85% |
| MxWiggle vs Lars | 13–13 | 50.00% |
| MxWiggle vs Fahkumram | 11–14 | 44.00% |
| MxWiggle vs Feng | 19–5 | 79.17% |
| MxWiggle vs Leroy | 10–13 | 43.48% |
| MxWiggle vs Raven | 12–9 | 57.14% |
| MxWiggle vs Nina | 9–10 | 47.37% |
| MxWiggle vs Eddy | 10–9 | 52.63% |
| MxWiggle vs Anna | 10–9 | 52.63% |
| MxWiggle vs Claudio | 6–12 | 33.33% |
| MxWiggle vs Shaheen | 7–9 | 43.75% |
| MxWiggle vs Kuma | 7–9 | 43.75% |
| MxWiggle vs Alisa | 2–4 | 33.33% |
| MxWiggle vs Zafina | 3–2 | 60.00% |
| MxWiggle vs Miary Zo | 1–4 | 20.00% |
| MxWiggle vs Panda | 2–2 | 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.