| MLGSkittles vs Jin | 66–67 | 49.62% |
| MLGSkittles vs Hwoarang | 72–55 | 56.69% |
| MLGSkittles vs King | 55–63 | 46.61% |
| MLGSkittles vs Reina | 61–55 | 52.59% |
| MLGSkittles vs Kazuya | 42–69 | 37.84% |
| MLGSkittles vs Law | 56–54 | 50.91% |
| MLGSkittles vs Bryan | 54–54 | 50.00% |
| MLGSkittles vs Dragunov | 50–53 | 48.54% |
| MLGSkittles vs Heihachi | 33–56 | 37.08% |
| MLGSkittles vs Yoshimitsu | 46–38 | 54.76% |
| MLGSkittles vs Steve | 47–36 | 56.63% |
| MLGSkittles vs Paul | 41–39 | 51.25% |
| MLGSkittles vs Asuka | 31–46 | 40.26% |
| MLGSkittles vs Lili | 39–37 | 51.32% |
| MLGSkittles vs Xiaoyu | 37–36 | 50.68% |
| MLGSkittles vs Lars | 38–34 | 52.78% |
| MLGSkittles vs Lee | 27–40 | 40.30% |
| MLGSkittles vs Lidia | 34–33 | 50.75% |
| MLGSkittles vs Victor | 32–34 | 48.48% |
| MLGSkittles vs Nina | 26–35 | 42.62% |
| MLGSkittles vs Azucena | 28–32 | 46.67% |
| MLGSkittles vs Devil Jin | 19–37 | 33.93% |
| MLGSkittles vs Clive | 20–33 | 37.74% |
| MLGSkittles vs Raven | 30–22 | 57.69% |
| MLGSkittles vs Jun | 29–22 | 56.86% |
| MLGSkittles vs Eddy | 17–29 | 36.96% |
| MLGSkittles vs Leroy | 25–19 | 56.82% |
| MLGSkittles vs Feng | 18–24 | 42.86% |
| MLGSkittles vs Leo | 17–24 | 41.46% |
| MLGSkittles vs Alisa | 20–19 | 51.28% |
| MLGSkittles vs Kuma | 18–15 | 54.55% |
| MLGSkittles vs Jack-8 | 11–21 | 34.38% |
| MLGSkittles vs Claudio | 18–14 | 56.25% |
| MLGSkittles vs Shaheen | 13–15 | 46.43% |
| MLGSkittles vs Zafina | 9–12 | 42.86% |
| MLGSkittles vs Panda | 1–3 | 25.00% |
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.