| LOAD MOJO vs Bryan | 10–10 | 50.00% |
| LOAD MOJO vs Jin | 11–7 | 61.11% |
| LOAD MOJO vs Law | 11–5 | 68.75% |
| LOAD MOJO vs Dragunov | 5–9 | 35.71% |
| LOAD MOJO vs King | 8–4 | 66.67% |
| LOAD MOJO vs Kazuya | 8–4 | 66.67% |
| LOAD MOJO vs Asuka | 2–8 | 20.00% |
| LOAD MOJO vs Nina | 8–2 | 80.00% |
| LOAD MOJO vs Reina | 7–3 | 70.00% |
| LOAD MOJO vs Azucena | 7–3 | 70.00% |
| LOAD MOJO vs Jun | 6–3 | 66.67% |
| LOAD MOJO vs Victor | 6–2 | 75.00% |
| LOAD MOJO vs Clive | 7–1 | 87.50% |
| LOAD MOJO vs Steve | 4–3 | 57.14% |
| LOAD MOJO vs Lili | 4–3 | 57.14% |
| LOAD MOJO vs Claudio | 4–3 | 57.14% |
| LOAD MOJO vs Raven | 6–1 | 85.71% |
| LOAD MOJO vs Eddy | 2–5 | 28.57% |
| LOAD MOJO vs Hwoarang | 4–2 | 66.67% |
| LOAD MOJO vs Alisa | 3–3 | 50.00% |
| LOAD MOJO vs Heihachi | 1–4 | 20.00% |
| LOAD MOJO vs Anna | 2–3 | 40.00% |
| LOAD MOJO vs Xiaoyu | 1–3 | 25.00% |
| LOAD MOJO vs Feng | 2–2 | 50.00% |
| LOAD MOJO vs Lars | 3–1 | 75.00% |
| LOAD MOJO vs Lee | 3–1 | 75.00% |
| LOAD MOJO vs Paul | 2–1 | 66.67% |
| LOAD MOJO vs Leo | 1–2 | 33.33% |
| LOAD MOJO vs Leroy | 1–2 | 33.33% |
| LOAD MOJO vs Jack-8 | 0–2 | 0.00% |
| LOAD MOJO vs Kuma | 0–2 | 0.00% |
| LOAD MOJO vs Lidia | 1–1 | 50.00% |
| LOAD MOJO vs Yoshimitsu | 1–0 | 100.00% |
| LOAD MOJO vs Panda | 1–0 | 100.00% |
| LOAD MOJO vs Zafina | 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.