| Jaecookedthis1 vs Heihachi | 6–13 | 31.58% |
| Jaecookedthis1 vs Law | 6–9 | 40.00% |
| Jaecookedthis1 vs Lili | 6–8 | 42.86% |
| Jaecookedthis1 vs King | 4–5 | 44.44% |
| Jaecookedthis1 vs Alisa | 2–7 | 22.22% |
| Jaecookedthis1 vs Reina | 5–4 | 55.56% |
| Jaecookedthis1 vs Asuka | 3–5 | 37.50% |
| Jaecookedthis1 vs Lee | 2–5 | 28.57% |
| Jaecookedthis1 vs Devil Jin | 3–3 | 50.00% |
| Jaecookedthis1 vs Nina | 0–6 | 0.00% |
| Jaecookedthis1 vs Paul | 1–4 | 20.00% |
| Jaecookedthis1 vs Jin | 1–4 | 20.00% |
| Jaecookedthis1 vs Leroy | 2–3 | 40.00% |
| Jaecookedthis1 vs Lidia | 3–2 | 60.00% |
| Jaecookedthis1 vs Leo | 1–3 | 25.00% |
| Jaecookedthis1 vs Eddy | 0–4 | 0.00% |
| Jaecookedthis1 vs Bryan | 1–2 | 33.33% |
| Jaecookedthis1 vs Kazuya | 1–2 | 33.33% |
| Jaecookedthis1 vs Feng | 1–2 | 33.33% |
| Jaecookedthis1 vs Victor | 1–2 | 33.33% |
| Jaecookedthis1 vs Raven | 1–2 | 33.33% |
| Jaecookedthis1 vs Yoshimitsu | 0–2 | 0.00% |
| Jaecookedthis1 vs Hwoarang | 0–2 | 0.00% |
| Jaecookedthis1 vs Xiaoyu | 0–2 | 0.00% |
| Jaecookedthis1 vs Steve | 0–2 | 0.00% |
| Jaecookedthis1 vs Dragunov | 0–2 | 0.00% |
| Jaecookedthis1 vs Kuma | 0–2 | 0.00% |
| Jaecookedthis1 vs Panda | 0–2 | 0.00% |
| Jaecookedthis1 vs Azucena | 0–2 | 0.00% |
| Jaecookedthis1 vs Jack-8 | 0–1 | 0.00% |
| Jaecookedthis1 vs Claudio | 0–1 | 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.