| Media_Love vs Kazuya | 60–49 | 55.05% |
| Media_Love vs Jin | 39–58 | 40.21% |
| Media_Love vs Steve | 45–50 | 47.37% |
| Media_Love vs King | 46–40 | 53.49% |
| Media_Love vs Bryan | 49–33 | 59.76% |
| Media_Love vs Hwoarang | 30–37 | 44.78% |
| Media_Love vs Reina | 30–37 | 44.78% |
| Media_Love vs Heihachi | 31–31 | 50.00% |
| Media_Love vs Anna | 24–34 | 41.38% |
| Media_Love vs Law | 24–33 | 42.11% |
| Media_Love vs Paul | 26–26 | 50.00% |
| Media_Love vs Lars | 19–26 | 42.22% |
| Media_Love vs Lee | 21–24 | 46.67% |
| Media_Love vs Leo | 20–20 | 50.00% |
| Media_Love vs Xiaoyu | 17–22 | 43.59% |
| Media_Love vs Dragunov | 24–15 | 61.54% |
| Media_Love vs Eddy | 20–19 | 51.28% |
| Media_Love vs Lili | 17–21 | 44.74% |
| Media_Love vs Jun | 14–21 | 40.00% |
| Media_Love vs Yoshimitsu | 10–22 | 31.25% |
| Media_Love vs Asuka | 12–19 | 38.71% |
| Media_Love vs Devil Jin | 12–18 | 40.00% |
| Media_Love vs Raven | 13–17 | 43.33% |
| Media_Love vs Nina | 14–15 | 48.28% |
| Media_Love vs Victor | 13–16 | 44.83% |
| Media_Love vs Feng | 10–18 | 35.71% |
| Media_Love vs Azucena | 11–17 | 39.29% |
| Media_Love vs Jack-8 | 11–15 | 42.31% |
| Media_Love vs Clive | 17–9 | 65.38% |
| Media_Love vs Fahkumram | 6–18 | 25.00% |
| Media_Love vs Shaheen | 6–14 | 30.00% |
| Media_Love vs Lidia | 12–8 | 60.00% |
| Media_Love vs Claudio | 11–8 | 57.89% |
| Media_Love vs Zafina | 8–8 | 50.00% |
| Media_Love vs Kuma | 6–8 | 42.86% |
| Media_Love vs Leroy | 9–4 | 69.23% |
| Media_Love vs Alisa | 8–4 | 66.67% |
| Media_Love vs Panda | 4–2 | 66.67% |
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.