| OMG-WTF vs Dragunov | 72–46 | 61.02% |
| OMG-WTF vs King | 56–48 | 53.85% |
| OMG-WTF vs Lidia | 59–44 | 57.28% |
| OMG-WTF vs Steve | 42–57 | 42.42% |
| OMG-WTF vs Victor | 41–56 | 42.27% |
| OMG-WTF vs Bryan | 41–51 | 44.57% |
| OMG-WTF vs Kazuya | 42–45 | 48.28% |
| OMG-WTF vs Hwoarang | 46–38 | 54.76% |
| OMG-WTF vs Jin | 51–30 | 62.96% |
| OMG-WTF vs Asuka | 44–33 | 57.14% |
| OMG-WTF vs Reina | 34–43 | 44.16% |
| OMG-WTF vs Nina | 40–34 | 54.05% |
| OMG-WTF vs Yoshimitsu | 39–29 | 57.35% |
| OMG-WTF vs Feng | 33–35 | 48.53% |
| OMG-WTF vs Jack-8 | 32–35 | 47.76% |
| OMG-WTF vs Alisa | 31–35 | 46.97% |
| OMG-WTF vs Lee | 33–33 | 50.00% |
| OMG-WTF vs Lili | 30–35 | 46.15% |
| OMG-WTF vs Eddy | 34–30 | 53.12% |
| OMG-WTF vs Azucena | 32–25 | 56.14% |
| OMG-WTF vs Paul | 36–20 | 64.29% |
| OMG-WTF vs Xiaoyu | 23–30 | 43.40% |
| OMG-WTF vs Shaheen | 27–25 | 51.92% |
| OMG-WTF vs Law | 30–20 | 60.00% |
| OMG-WTF vs Raven | 23–23 | 50.00% |
| OMG-WTF vs Zafina | 17–27 | 38.64% |
| OMG-WTF vs Devil Jin | 26–17 | 60.47% |
| OMG-WTF vs Lars | 27–16 | 62.79% |
| OMG-WTF vs Claudio | 22–18 | 55.00% |
| OMG-WTF vs Leroy | 25–14 | 64.10% |
| OMG-WTF vs Kuma | 23–15 | 60.53% |
| OMG-WTF vs Leo | 12–17 | 41.38% |
| OMG-WTF vs Jun | 12–14 | 46.15% |
| OMG-WTF vs Panda | 13–10 | 56.52% |
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.