| Its ok to lose vs Jin | 112–98 | 53.33% |
| Its ok to lose vs Kazuya | 82–75 | 52.23% |
| Its ok to lose vs King | 76–70–1 | 52.05% |
| Its ok to lose vs Dragunov | 73–57 | 56.15% |
| Its ok to lose vs Lili | 67–58 | 53.60% |
| Its ok to lose vs Law | 44–62 | 41.51% |
| Its ok to lose vs Bryan | 46–47 | 49.46% |
| Its ok to lose vs Reina | 55–37 | 59.78% |
| Its ok to lose vs Hwoarang | 43–46 | 48.31% |
| Its ok to lose vs Steve | 41–45 | 47.67% |
| Its ok to lose vs Yoshimitsu | 32–52 | 38.10% |
| Its ok to lose vs Paul | 34–45 | 43.04% |
| Its ok to lose vs Heihachi | 31–45 | 40.79% |
| Its ok to lose vs Jun | 26–46 | 36.11% |
| Its ok to lose vs Xiaoyu | 24–32 | 42.86% |
| Its ok to lose vs Eddy | 18–37 | 32.73% |
| Its ok to lose vs Leroy | 21–33 | 38.89% |
| Its ok to lose vs Lee | 34–19 | 64.15% |
| Its ok to lose vs Victor | 29–24 | 54.72% |
| Its ok to lose vs Nina | 23–29 | 44.23% |
| Its ok to lose vs Claudio | 24–23 | 51.06% |
| Its ok to lose vs Feng | 17–27 | 38.64% |
| Its ok to lose vs Lars | 22–22 | 50.00% |
| Its ok to lose vs Alisa | 11–32 | 25.58% |
| Its ok to lose vs Asuka | 14–28 | 33.33% |
| Its ok to lose vs Azucena | 21–21 | 50.00% |
| Its ok to lose vs Devil Jin | 18–19 | 48.65% |
| Its ok to lose vs Leo | 14–23 | 37.84% |
| Its ok to lose vs Lidia | 12–20 | 37.50% |
| Its ok to lose vs Raven | 10–20 | 33.33% |
| Its ok to lose vs Jack-8 | 10–13 | 43.48% |
| Its ok to lose vs Clive | 4–19 | 17.39% |
| Its ok to lose vs Kuma | 9–13 | 40.91% |
| Its ok to lose vs Shaheen | 13–8 | 61.90% |
| Its ok to lose vs Zafina | 7–12 | 36.84% |
| Its ok to lose vs Anna | 10–9 | 52.63% |
| Its ok to lose vs Miary Zo | 3–8 | 27.27% |
| Its ok to lose vs Fahkumram | 3–6 | 33.33% |
| Its ok to lose vs Armor King | 1–4 | 20.00% |
| Its ok to lose vs Panda | 0–2 | 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.