| NoOsE mE pLz vs Jin | 120–124 | 49.18% |
| NoOsE mE pLz vs Bryan | 110–105 | 51.16% |
| NoOsE mE pLz vs Hwoarang | 119–88 | 57.49% |
| NoOsE mE pLz vs Heihachi | 97–108 | 47.32% |
| NoOsE mE pLz vs King | 125–63 | 66.49% |
| NoOsE mE pLz vs Kazuya | 101–86 | 54.01% |
| NoOsE mE pLz vs Steve | 105–71 | 59.66% |
| NoOsE mE pLz vs Lee | 81–76 | 51.59% |
| NoOsE mE pLz vs Nina | 70–65 | 51.85% |
| NoOsE mE pLz vs Asuka | 66–68 | 49.25% |
| NoOsE mE pLz vs Xiaoyu | 68–60 | 53.12% |
| NoOsE mE pLz vs Lidia | 68–58 | 53.97% |
| NoOsE mE pLz vs Law | 71–54 | 56.80% |
| NoOsE mE pLz vs Reina | 70–52 | 57.38% |
| NoOsE mE pLz vs Yoshimitsu | 61–59 | 50.83% |
| NoOsE mE pLz vs Dragunov | 62–58 | 51.67% |
| NoOsE mE pLz vs Lili | 71–46 | 60.68% |
| NoOsE mE pLz vs Lars | 60–55 | 52.17% |
| NoOsE mE pLz vs Paul | 73–41 | 64.04% |
| NoOsE mE pLz vs Devil Jin | 62–50 | 55.36% |
| NoOsE mE pLz vs Jun | 53–57 | 48.18% |
| NoOsE mE pLz vs Zafina | 47–42 | 52.81% |
| NoOsE mE pLz vs Raven | 50–36–1 | 58.14% |
| NoOsE mE pLz vs Victor | 47–38 | 55.29% |
| NoOsE mE pLz vs Eddy | 35–50 | 41.18% |
| NoOsE mE pLz vs Jack-8 | 44–37 | 54.32% |
| NoOsE mE pLz vs Azucena | 42–38 | 52.50% |
| NoOsE mE pLz vs Leo | 42–32 | 56.76% |
| NoOsE mE pLz vs Feng | 38–35 | 52.05% |
| NoOsE mE pLz vs Claudio | 34–34 | 50.00% |
| NoOsE mE pLz vs Kuma | 34–27 | 55.74% |
| NoOsE mE pLz vs Alisa | 32–28 | 53.33% |
| NoOsE mE pLz vs Leroy | 27–29 | 48.21% |
| NoOsE mE pLz vs Shaheen | 24–19 | 55.81% |
| NoOsE mE pLz vs Panda | 29–13 | 69.05% |
| NoOsE mE pLz vs Clive | 4–11 | 26.67% |
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.