| i4mground vs Kazuya | 126–109 | 53.62% |
| i4mground vs Dragunov | 123–86 | 58.85% |
| i4mground vs Bryan | 108–83 | 56.54% |
| i4mground vs Paul | 103–69 | 59.88% |
| i4mground vs Reina | 75–95 | 44.12% |
| i4mground vs Hwoarang | 91–72 | 55.83% |
| i4mground vs King | 90–50 | 64.29% |
| i4mground vs Jin | 69–64 | 51.88% |
| i4mground vs Asuka | 63–54 | 53.85% |
| i4mground vs Lili | 44–61 | 41.90% |
| i4mground vs Law | 52–49 | 51.49% |
| i4mground vs Steve | 57–42 | 57.58% |
| i4mground vs Victor | 43–53 | 44.79% |
| i4mground vs Armor King | 56–34 | 62.22% |
| i4mground vs Yoshimitsu | 44–43 | 50.57% |
| i4mground vs Devil Jin | 42–44 | 48.84% |
| i4mground vs Feng | 34–48 | 41.46% |
| i4mground vs Jun | 41–41 | 50.00% |
| i4mground vs Lidia | 39–43 | 47.56% |
| i4mground vs Leroy | 43–34 | 55.84% |
| i4mground vs Azucena | 29–46 | 38.67% |
| i4mground vs Claudio | 28–45 | 38.36% |
| i4mground vs Lee | 38–34 | 52.78% |
| i4mground vs Nina | 39–30 | 56.52% |
| i4mground vs Heihachi | 28–37 | 43.08% |
| i4mground vs Fahkumram | 34–31 | 52.31% |
| i4mground vs Leo | 30–32 | 48.39% |
| i4mground vs Xiaoyu | 24–37 | 39.34% |
| i4mground vs Lars | 24–31 | 43.64% |
| i4mground vs Anna | 34–19 | 64.15% |
| i4mground vs Jack-8 | 26–25 | 50.98% |
| i4mground vs Alisa | 22–27 | 44.90% |
| i4mground vs Kuma | 26–20 | 56.52% |
| i4mground vs Eddy | 17–29 | 36.96% |
| i4mground vs Clive | 13–21 | 38.24% |
| i4mground vs Shaheen | 13–16 | 44.83% |
| i4mground vs Raven | 13–14 | 48.15% |
| i4mground vs Panda | 14–8 | 63.64% |
| i4mground vs Miary Zo | 6–15 | 28.57% |
| i4mground vs Zafina | 8–12 | 40.00% |
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.