| JoydurnYup vs Jin | 156–187 | 45.48% |
| JoydurnYup vs Kazuya | 146–135 | 51.96% |
| JoydurnYup vs Bryan | 133–130 | 50.57% |
| JoydurnYup vs Dragunov | 128–129 | 49.81% |
| JoydurnYup vs King | 117–96 | 54.93% |
| JoydurnYup vs Reina | 140–73 | 65.73% |
| JoydurnYup vs Devil Jin | 79–74 | 51.63% |
| JoydurnYup vs Lili | 73–77 | 48.67% |
| JoydurnYup vs Law | 65–74 | 46.76% |
| JoydurnYup vs Hwoarang | 68–64 | 51.52% |
| JoydurnYup vs Paul | 67–61 | 52.34% |
| JoydurnYup vs Yoshimitsu | 59–62 | 48.76% |
| JoydurnYup vs Steve | 65–53 | 55.08% |
| JoydurnYup vs Lee | 48–61 | 44.04% |
| JoydurnYup vs Jun | 60–49 | 55.05% |
| JoydurnYup vs Victor | 60–47 | 56.07% |
| JoydurnYup vs Feng | 55–47 | 53.92% |
| JoydurnYup vs Lars | 51–48 | 51.52% |
| JoydurnYup vs Xiaoyu | 56–42 | 57.14% |
| JoydurnYup vs Alisa | 58–38 | 60.42% |
| JoydurnYup vs Asuka | 46–46 | 50.00% |
| JoydurnYup vs Heihachi | 47–43 | 52.22% |
| JoydurnYup vs Leroy | 37–52 | 41.57% |
| JoydurnYup vs Clive | 40–40 | 50.00% |
| JoydurnYup vs Jack-8 | 27–44 | 38.03% |
| JoydurnYup vs Shaheen | 24–47 | 33.80% |
| JoydurnYup vs Azucena | 39–31 | 55.71% |
| JoydurnYup vs Lidia | 29–39 | 42.65% |
| JoydurnYup vs Claudio | 34–33 | 50.75% |
| JoydurnYup vs Nina | 27–40 | 40.30% |
| JoydurnYup vs Leo | 25–31 | 44.64% |
| JoydurnYup vs Eddy | 19–29 | 39.58% |
| JoydurnYup vs Kuma | 15–28 | 34.88% |
| JoydurnYup vs Zafina | 11–31 | 26.19% |
| JoydurnYup vs Raven | 18–22 | 45.00% |
| JoydurnYup vs Armor King | 13–15 | 46.43% |
| JoydurnYup vs Panda | 10–10 | 50.00% |
| JoydurnYup vs Fahkumram | 8–9 | 47.06% |
| JoydurnYup vs Anna | 3–4 | 42.86% |
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.