| iHackeryun vs Kazuya | 148–107 | 58.04% |
| iHackeryun vs Paul | 122–112 | 52.14% |
| iHackeryun vs Dragunov | 115–96 | 54.50% |
| iHackeryun vs King | 110–86 | 56.12% |
| iHackeryun vs Bryan | 101–90 | 52.88% |
| iHackeryun vs Jin | 88–81 | 52.07% |
| iHackeryun vs Hwoarang | 70–86 | 44.87% |
| iHackeryun vs Lili | 74–54 | 57.81% |
| iHackeryun vs Clive | 60–68 | 46.88% |
| iHackeryun vs Reina | 54–72 | 42.86% |
| iHackeryun vs Victor | 49–73 | 40.16% |
| iHackeryun vs Azucena | 46–61 | 42.99% |
| iHackeryun vs Law | 40–64 | 38.46% |
| iHackeryun vs Heihachi | 48–55 | 46.60% |
| iHackeryun vs Asuka | 50–51 | 49.50% |
| iHackeryun vs Steve | 49–47 | 51.04% |
| iHackeryun vs Jun | 37–48 | 43.53% |
| iHackeryun vs Lidia | 42–41 | 50.60% |
| iHackeryun vs Yoshimitsu | 43–39 | 52.44% |
| iHackeryun vs Devil Jin | 27–42 | 39.13% |
| iHackeryun vs Leroy | 29–38 | 43.28% |
| iHackeryun vs Lars | 27–37 | 42.19% |
| iHackeryun vs Alisa | 31–33 | 48.44% |
| iHackeryun vs Claudio | 20–40 | 33.33% |
| iHackeryun vs Lee | 30–26 | 53.57% |
| iHackeryun vs Xiaoyu | 22–32 | 40.74% |
| iHackeryun vs Eddy | 25–27 | 48.08% |
| iHackeryun vs Jack-8 | 26–24 | 52.00% |
| iHackeryun vs Feng | 22–28 | 44.00% |
| iHackeryun vs Nina | 23–26 | 46.94% |
| iHackeryun vs Anna | 23–25 | 47.92% |
| iHackeryun vs Fahkumram | 19–29 | 39.58% |
| iHackeryun vs Kuma | 14–27 | 34.15% |
| iHackeryun vs Leo | 20–20 | 50.00% |
| iHackeryun vs Armor King | 12–28 | 30.00% |
| iHackeryun vs Shaheen | 19–17 | 52.78% |
| iHackeryun vs Zafina | 12–23 | 34.29% |
| iHackeryun vs Raven | 13–16 | 44.83% |
| iHackeryun vs Miary Zo | 9–8 | 52.94% |
| iHackeryun vs Panda | 4–9 | 30.77% |
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.