| Fodder Jim vs King | 6–17 | 26.09% |
| Fodder Jim vs Reina | 8–12 | 40.00% |
| Fodder Jim vs Fahkumram | 4–16 | 20.00% |
| Fodder Jim vs Steve | 6–13 | 31.58% |
| Fodder Jim vs Kuma | 7–10 | 41.18% |
| Fodder Jim vs Yoshimitsu | 7–8 | 46.67% |
| Fodder Jim vs Anna | 3–12 | 20.00% |
| Fodder Jim vs Hwoarang | 3–10 | 23.08% |
| Fodder Jim vs Jun | 3–9 | 25.00% |
| Fodder Jim vs Kazuya | 6–5 | 54.55% |
| Fodder Jim vs Jin | 4–6 | 40.00% |
| Fodder Jim vs Lili | 3–7 | 30.00% |
| Fodder Jim vs Law | 2–7 | 22.22% |
| Fodder Jim vs Feng | 1–6 | 14.29% |
| Fodder Jim vs Claudio | 1–6 | 14.29% |
| Fodder Jim vs Zafina | 1–6 | 14.29% |
| Fodder Jim vs Victor | 2–5 | 28.57% |
| Fodder Jim vs Eddy | 0–7 | 0.00% |
| Fodder Jim vs Bryan | 4–2 | 66.67% |
| Fodder Jim vs Jack-8 | 0–5 | 0.00% |
| Fodder Jim vs Asuka | 1–4 | 20.00% |
| Fodder Jim vs Alisa | 2–3 | 40.00% |
| Fodder Jim vs Heihachi | 5–0 | 100.00% |
| Fodder Jim vs Clive | 1–4 | 20.00% |
| Fodder Jim vs Dragunov | 0–4 | 0.00% |
| Fodder Jim vs Azucena | 2–2 | 50.00% |
| Fodder Jim vs Lars | 0–3 | 0.00% |
| Fodder Jim vs Paul | 0–2 | 0.00% |
| Fodder Jim vs Xiaoyu | 0–2 | 0.00% |
| Fodder Jim vs Leroy | 2–0 | 100.00% |
| Fodder Jim vs Raven | 2–0 | 100.00% |
| Fodder Jim vs Nina | 0–1 | 0.00% |
| Fodder Jim vs Lee | 1–0 | 100.00% |
| Fodder Jim vs Panda | 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.