| HelloKittyKing vs Heihachi | 40–35 | 53.33% |
| HelloKittyKing vs Fahkumram | 23–24 | 48.94% |
| HelloKittyKing vs King | 22–19 | 53.66% |
| HelloKittyKing vs Hwoarang | 25–9 | 73.53% |
| HelloKittyKing vs Kazuya | 19–14 | 57.58% |
| HelloKittyKing vs Bryan | 21–11 | 65.62% |
| HelloKittyKing vs Steve | 21–10 | 67.74% |
| HelloKittyKing vs Reina | 20–11 | 64.52% |
| HelloKittyKing vs Dragunov | 17–13 | 56.67% |
| HelloKittyKing vs Lee | 19–9 | 67.86% |
| HelloKittyKing vs Yoshimitsu | 12–11 | 52.17% |
| HelloKittyKing vs Jin | 13–10 | 56.52% |
| HelloKittyKing vs Law | 13–8 | 61.90% |
| HelloKittyKing vs Asuka | 11–9 | 55.00% |
| HelloKittyKing vs Eddy | 12–8 | 60.00% |
| HelloKittyKing vs Paul | 8–7 | 53.33% |
| HelloKittyKing vs Devil Jin | 8–7 | 53.33% |
| HelloKittyKing vs Leo | 9–5 | 64.29% |
| HelloKittyKing vs Zafina | 10–4 | 71.43% |
| HelloKittyKing vs Lili | 4–9 | 30.77% |
| HelloKittyKing vs Leroy | 7–6 | 53.85% |
| HelloKittyKing vs Lars | 8–2 | 80.00% |
| HelloKittyKing vs Kuma | 5–5 | 50.00% |
| HelloKittyKing vs Raven | 6–4 | 60.00% |
| HelloKittyKing vs Xiaoyu | 4–5 | 44.44% |
| HelloKittyKing vs Jun | 7–1 | 87.50% |
| HelloKittyKing vs Victor | 3–5 | 37.50% |
| HelloKittyKing vs Feng | 3–4 | 42.86% |
| HelloKittyKing vs Azucena | 3–4 | 42.86% |
| HelloKittyKing vs Lidia | 3–4 | 42.86% |
| HelloKittyKing vs Armor King | 5–2 | 71.43% |
| HelloKittyKing vs Jack-8 | 4–2 | 66.67% |
| HelloKittyKing vs Alisa | 3–3 | 50.00% |
| HelloKittyKing vs Nina | 2–3 | 40.00% |
| HelloKittyKing vs Anna | 2–2 | 50.00% |
| HelloKittyKing vs Clive | 0–3 | 0.00% |
| HelloKittyKing vs Claudio | 0–2 | 0.00% |
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.