| HaiseQs vs Kazuya | 198–171 | 53.66% |
| HaiseQs vs Bryan | 173–120 | 59.04% |
| HaiseQs vs Jin | 137–130 | 51.31% |
| HaiseQs vs Dragunov | 154–99 | 60.87% |
| HaiseQs vs Paul | 138–99 | 58.23% |
| HaiseQs vs Hwoarang | 118–101 | 53.88% |
| HaiseQs vs King | 123–70 | 63.73% |
| HaiseQs vs Lidia | 92–100 | 47.92% |
| HaiseQs vs Reina | 97–92 | 51.32% |
| HaiseQs vs Clive | 94–80 | 54.02% |
| HaiseQs vs Asuka | 106–65 | 61.99% |
| HaiseQs vs Steve | 83–82 | 50.30% |
| HaiseQs vs Lili | 90–64 | 58.44% |
| HaiseQs vs Heihachi | 79–66 | 54.48% |
| HaiseQs vs Lars | 59–70 | 45.74% |
| HaiseQs vs Jack-8 | 68–57 | 54.40% |
| HaiseQs vs Feng | 68–57 | 54.40% |
| HaiseQs vs Devil Jin | 56–66 | 45.90% |
| HaiseQs vs Law | 71–47 | 60.17% |
| HaiseQs vs Claudio | 71–47 | 60.17% |
| HaiseQs vs Victor | 71–46 | 60.68% |
| HaiseQs vs Jun | 57–58 | 49.57% |
| HaiseQs vs Azucena | 60–51 | 54.05% |
| HaiseQs vs Yoshimitsu | 62–41 | 60.19% |
| HaiseQs vs Lee | 61–40 | 60.40% |
| HaiseQs vs Xiaoyu | 58–32 | 64.44% |
| HaiseQs vs Fahkumram | 48–42 | 53.33% |
| HaiseQs vs Shaheen | 44–34 | 56.41% |
| HaiseQs vs Nina | 43–34 | 55.84% |
| HaiseQs vs Leroy | 41–33 | 55.41% |
| HaiseQs vs Leo | 35–35 | 50.00% |
| HaiseQs vs Raven | 34–30 | 53.12% |
| HaiseQs vs Alisa | 34–27 | 55.74% |
| HaiseQs vs Kuma | 38–23 | 62.30% |
| HaiseQs vs Zafina | 27–29 | 48.21% |
| HaiseQs vs Eddy | 30–23 | 56.60% |
| HaiseQs vs Anna | 24–22 | 52.17% |
| HaiseQs vs Armor King | 24–16 | 60.00% |
| HaiseQs vs Panda | 16–17 | 48.48% |
| HaiseQs vs Miary Zo | 6–11 | 35.29% |
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.