| Ipmangoku vs King | 97–130 | 42.73% |
| Ipmangoku vs Kazuya | 105–104 | 50.24% |
| Ipmangoku vs Jin | 83–115 | 41.92% |
| Ipmangoku vs Law | 84–100 | 45.65% |
| Ipmangoku vs Steve | 51–89 | 36.43% |
| Ipmangoku vs Reina | 55–85 | 39.29% |
| Ipmangoku vs Eddy | 53–87 | 37.86% |
| Ipmangoku vs Lili | 56–62 | 47.46% |
| Ipmangoku vs Hwoarang | 66–50 | 56.90% |
| Ipmangoku vs Bryan | 47–63–1 | 42.73% |
| Ipmangoku vs Jun | 46–60 | 43.40% |
| Ipmangoku vs Dragunov | 47–58 | 44.76% |
| Ipmangoku vs Heihachi | 45–55 | 45.00% |
| Ipmangoku vs Azucena | 45–52 | 46.39% |
| Ipmangoku vs Victor | 41–56 | 42.27% |
| Ipmangoku vs Lee | 50–44 | 53.19% |
| Ipmangoku vs Paul | 38–51 | 42.70% |
| Ipmangoku vs Xiaoyu | 46–41 | 52.87% |
| Ipmangoku vs Leo | 42–28 | 60.00% |
| Ipmangoku vs Asuka | 31–37 | 45.59% |
| Ipmangoku vs Alisa | 21–47 | 30.88% |
| Ipmangoku vs Lars | 33–34 | 49.25% |
| Ipmangoku vs Devil Jin | 26–40 | 39.39% |
| Ipmangoku vs Raven | 27–37 | 42.19% |
| Ipmangoku vs Lidia | 32–27 | 54.24% |
| Ipmangoku vs Yoshimitsu | 24–32 | 42.86% |
| Ipmangoku vs Nina | 28–23 | 54.90% |
| Ipmangoku vs Clive | 21–30 | 41.18% |
| Ipmangoku vs Armor King | 18–33 | 35.29% |
| Ipmangoku vs Anna | 16–31 | 34.04% |
| Ipmangoku vs Leroy | 19–27 | 41.30% |
| Ipmangoku vs Fahkumram | 12–27 | 30.77% |
| Ipmangoku vs Feng | 19–17 | 52.78% |
| Ipmangoku vs Jack-8 | 15–19 | 44.12% |
| Ipmangoku vs Shaheen | 22–12 | 64.71% |
| Ipmangoku vs Claudio | 13–15 | 46.43% |
| Ipmangoku vs Miary Zo | 8–18 | 30.77% |
| Ipmangoku vs Kuma | 7–10 | 41.18% |
| Ipmangoku vs Zafina | 9–8 | 52.94% |
| Ipmangoku vs Panda | 4–5 | 44.44% |
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.