| inmy4n vs Armor King | 100–120 | 45.45% |
| inmy4n vs Law | 114–77 | 59.69% |
| inmy4n vs Jin | 112–76 | 59.57% |
| inmy4n vs King | 95–67 | 58.64% |
| inmy4n vs Steve | 92–70 | 56.79% |
| inmy4n vs Hwoarang | 88–60 | 59.46% |
| inmy4n vs Fahkumram | 75–66 | 53.19% |
| inmy4n vs Bryan | 71–60 | 54.20% |
| inmy4n vs Lars | 74–55 | 57.36% |
| inmy4n vs Lili | 77–49 | 61.11% |
| inmy4n vs Heihachi | 69–55 | 55.65% |
| inmy4n vs Miary Zo | 50–72 | 40.98% |
| inmy4n vs Kazuya | 60–59 | 50.42% |
| inmy4n vs Reina | 66–39 | 62.86% |
| inmy4n vs Lee | 55–45 | 55.00% |
| inmy4n vs Nina | 45–48 | 48.39% |
| inmy4n vs Paul | 52–40 | 56.52% |
| inmy4n vs Azucena | 58–32 | 64.44% |
| inmy4n vs Raven | 49–35 | 58.33% |
| inmy4n vs Dragunov | 36–45 | 44.44% |
| inmy4n vs Leroy | 43–37 | 53.75% |
| inmy4n vs Leo | 43–32 | 57.33% |
| inmy4n vs Devil Jin | 44–30 | 59.46% |
| inmy4n vs Asuka | 40–31 | 56.34% |
| inmy4n vs Xiaoyu | 40–29 | 57.97% |
| inmy4n vs Jun | 47–21 | 69.12% |
| inmy4n vs Anna | 24–39 | 38.10% |
| inmy4n vs Claudio | 36–26 | 58.06% |
| inmy4n vs Victor | 39–22 | 63.93% |
| inmy4n vs Lidia | 35–22 | 61.40% |
| inmy4n vs Eddy | 37–17 | 68.52% |
| inmy4n vs Feng | 36–17 | 67.92% |
| inmy4n vs Yoshimitsu | 27–25 | 51.92% |
| inmy4n vs Clive | 29–21 | 58.00% |
| inmy4n vs Jack-8 | 23–26 | 46.94% |
| inmy4n vs Zafina | 24–25 | 48.98% |
| inmy4n vs Alisa | 20–24 | 45.45% |
| inmy4n vs Shaheen | 14–18 | 43.75% |
| inmy4n vs Kuma | 16–16 | 50.00% |
| inmy4n vs Panda | 3–12 | 20.00% |
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.