| ITZ_AHU vs Bryan | 237–318 | 42.70% |
| ITZ_AHU vs Jin | 227–213–1 | 51.59% |
| ITZ_AHU vs Kazuya | 225–202 | 52.69% |
| ITZ_AHU vs King | 212–196–1 | 51.96% |
| ITZ_AHU vs Steve | 166–236 | 41.29% |
| ITZ_AHU vs Heihachi | 133–167 | 44.33% |
| ITZ_AHU vs Dragunov | 119–114 | 51.07% |
| ITZ_AHU vs Hwoarang | 94–118 | 44.34% |
| ITZ_AHU vs Law | 100–110 | 47.62% |
| ITZ_AHU vs Reina | 82–99 | 45.30% |
| ITZ_AHU vs Paul | 67–112 | 37.43% |
| ITZ_AHU vs Yoshimitsu | 73–84 | 46.50% |
| ITZ_AHU vs Lee | 69–87 | 44.23% |
| ITZ_AHU vs Devil Jin | 57–77 | 42.54% |
| ITZ_AHU vs Armor King | 49–85 | 36.57% |
| ITZ_AHU vs Clive | 58–74 | 43.94% |
| ITZ_AHU vs Lili | 63–68 | 48.09% |
| ITZ_AHU vs Lidia | 45–64 | 41.28% |
| ITZ_AHU vs Jun | 52–54 | 49.06% |
| ITZ_AHU vs Lars | 39–61 | 39.00% |
| ITZ_AHU vs Nina | 38–59 | 39.18% |
| ITZ_AHU vs Eddy | 44–50–1 | 46.81% |
| ITZ_AHU vs Victor | 51–41 | 55.43% |
| ITZ_AHU vs Feng | 36–46 | 43.90% |
| ITZ_AHU vs Alisa | 34–42 | 44.74% |
| ITZ_AHU vs Asuka | 31–44 | 41.33% |
| ITZ_AHU vs Azucena | 31–42 | 42.47% |
| ITZ_AHU vs Fahkumram | 32–38 | 45.71% |
| ITZ_AHU vs Raven | 31–37 | 45.59% |
| ITZ_AHU vs Xiaoyu | 30–36 | 45.45% |
| ITZ_AHU vs Jack-8 | 20–44 | 31.25% |
| ITZ_AHU vs Leo | 24–38 | 38.71% |
| ITZ_AHU vs Kuma | 24–38 | 38.71% |
| ITZ_AHU vs Leroy | 27–31 | 46.55% |
| ITZ_AHU vs Claudio | 15–22 | 40.54% |
| ITZ_AHU vs Shaheen | 13–19 | 40.62% |
| ITZ_AHU vs Anna | 11–20 | 35.48% |
| ITZ_AHU vs Zafina | 10–10 | 50.00% |
| ITZ_AHU vs Panda | 4–8 | 33.33% |
| ITZ_AHU vs Miary Zo | 7–4 | 63.64% |
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.