| Jenny tyss vs Kazuya | 64–23 | 73.56% |
| Jenny tyss vs Heihachi | 54–27 | 66.67% |
| Jenny tyss vs Bryan | 41–28 | 59.42% |
| Jenny tyss vs Jin | 53–15 | 77.94% |
| Jenny tyss vs Reina | 41–26 | 61.19% |
| Jenny tyss vs Steve | 48–10 | 82.76% |
| Jenny tyss vs Law | 44–12 | 78.57% |
| Jenny tyss vs King | 43–12 | 78.18% |
| Jenny tyss vs Dragunov | 35–5 | 87.50% |
| Jenny tyss vs Hwoarang | 28–10 | 73.68% |
| Jenny tyss vs Lili | 27–8 | 77.14% |
| Jenny tyss vs Lars | 23–12 | 65.71% |
| Jenny tyss vs Lee | 19–12 | 61.29% |
| Jenny tyss vs Paul | 17–12 | 58.62% |
| Jenny tyss vs Lidia | 21–4 | 84.00% |
| Jenny tyss vs Xiaoyu | 16–8 | 66.67% |
| Jenny tyss vs Devil Jin | 14–9 | 60.87% |
| Jenny tyss vs Jun | 16–7 | 69.57% |
| Jenny tyss vs Armor King | 9–14 | 39.13% |
| Jenny tyss vs Clive | 13–9 | 59.09% |
| Jenny tyss vs Jack-8 | 13–7 | 65.00% |
| Jenny tyss vs Claudio | 16–3 | 84.21% |
| Jenny tyss vs Victor | 17–2 | 89.47% |
| Jenny tyss vs Eddy | 11–8 | 57.89% |
| Jenny tyss vs Azucena | 15–3 | 83.33% |
| Jenny tyss vs Nina | 14–3 | 82.35% |
| Jenny tyss vs Kuma | 12–5 | 70.59% |
| Jenny tyss vs Miary Zo | 10–7 | 58.82% |
| Jenny tyss vs Asuka | 13–3 | 81.25% |
| Jenny tyss vs Leo | 14–2 | 87.50% |
| Jenny tyss vs Anna | 8–6 | 57.14% |
| Jenny tyss vs Yoshimitsu | 11–1 | 91.67% |
| Jenny tyss vs Alisa | 9–3 | 75.00% |
| Jenny tyss vs Fahkumram | 12–0 | 100.00% |
| Jenny tyss vs Feng | 8–2 | 80.00% |
| Jenny tyss vs Leroy | 10–0 | 100.00% |
| Jenny tyss vs Shaheen | 7–2 | 77.78% |
| Jenny tyss vs Zafina | 4–1 | 80.00% |
| Jenny tyss vs Panda | 4–0 | 100.00% |
| Jenny tyss vs Raven | 3–1 | 75.00% |
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.