| Hzeroni_ vs Steve | 70–100 | 41.18% |
| Hzeroni_ vs King | 56–64 | 46.67% |
| Hzeroni_ vs Jin | 27–79 | 25.47% |
| Hzeroni_ vs Miary Zo | 40–56 | 41.67% |
| Hzeroni_ vs Reina | 41–54 | 43.16% |
| Hzeroni_ vs Armor King | 23–60 | 27.71% |
| Hzeroni_ vs Kazuya | 27–52 | 34.18% |
| Hzeroni_ vs Hwoarang | 26–43 | 37.68% |
| Hzeroni_ vs Law | 21–47 | 30.88% |
| Hzeroni_ vs Eddy | 19–48 | 28.36% |
| Hzeroni_ vs Azucena | 14–48 | 22.58% |
| Hzeroni_ vs Bryan | 25–36 | 40.98% |
| Hzeroni_ vs Lee | 19–35 | 35.19% |
| Hzeroni_ vs Dragunov | 19–33 | 36.54% |
| Hzeroni_ vs Heihachi | 22–28 | 44.00% |
| Hzeroni_ vs Lili | 14–35 | 28.57% |
| Hzeroni_ vs Lars | 11–35 | 23.91% |
| Hzeroni_ vs Asuka | 15–24 | 38.46% |
| Hzeroni_ vs Nina | 16–22 | 42.11% |
| Hzeroni_ vs Fahkumram | 7–31 | 18.42% |
| Hzeroni_ vs Jun | 11–26 | 29.73% |
| Hzeroni_ vs Clive | 13–24 | 35.14% |
| Hzeroni_ vs Yoshimitsu | 9–20 | 31.03% |
| Hzeroni_ vs Xiaoyu | 14–15 | 48.28% |
| Hzeroni_ vs Alisa | 10–18 | 35.71% |
| Hzeroni_ vs Leroy | 16–12 | 57.14% |
| Hzeroni_ vs Victor | 8–20 | 28.57% |
| Hzeroni_ vs Paul | 7–17 | 29.17% |
| Hzeroni_ vs Raven | 7–16 | 30.43% |
| Hzeroni_ vs Lidia | 6–17 | 26.09% |
| Hzeroni_ vs Feng | 6–12 | 33.33% |
| Hzeroni_ vs Leo | 6–12 | 33.33% |
| Hzeroni_ vs Jack-8 | 4–13 | 23.53% |
| Hzeroni_ vs Kuma | 3–14 | 17.65% |
| Hzeroni_ vs Zafina | 7–9 | 43.75% |
| Hzeroni_ vs Shaheen | 3–12 | 20.00% |
| Hzeroni_ vs Devil Jin | 2–11 | 15.38% |
| Hzeroni_ vs Anna | 8–5 | 61.54% |
| Hzeroni_ vs Claudio | 3–9 | 25.00% |
| Hzeroni_ vs Panda | 3–5 | 37.50% |
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.