| ManitobaLM vs Jin | 12–18 | 40.00% |
| ManitobaLM vs King | 9–18 | 33.33% |
| ManitobaLM vs Heihachi | 14–12 | 53.85% |
| ManitobaLM vs Bryan | 11–13 | 45.83% |
| ManitobaLM vs Steve | 5–17 | 22.73% |
| ManitobaLM vs Reina | 7–14 | 33.33% |
| ManitobaLM vs Lili | 12–7 | 63.16% |
| ManitobaLM vs Dragunov | 6–11 | 35.29% |
| ManitobaLM vs Law | 6–8 | 42.86% |
| ManitobaLM vs Asuka | 6–7 | 46.15% |
| ManitobaLM vs Hwoarang | 8–4 | 66.67% |
| ManitobaLM vs Jun | 3–9 | 25.00% |
| ManitobaLM vs Yoshimitsu | 2–9 | 18.18% |
| ManitobaLM vs Kazuya | 6–5 | 54.55% |
| ManitobaLM vs Feng | 5–6 | 45.45% |
| ManitobaLM vs Lee | 3–8 | 27.27% |
| ManitobaLM vs Victor | 4–5 | 44.44% |
| ManitobaLM vs Xiaoyu | 4–4 | 50.00% |
| ManitobaLM vs Lars | 4–4 | 50.00% |
| ManitobaLM vs Eddy | 1–7 | 12.50% |
| ManitobaLM vs Clive | 4–4 | 50.00% |
| ManitobaLM vs Panda | 2–4 | 33.33% |
| ManitobaLM vs Devil Jin | 1–4 | 20.00% |
| ManitobaLM vs Leroy | 3–2 | 60.00% |
| ManitobaLM vs Raven | 4–1 | 80.00% |
| ManitobaLM vs Alisa | 3–1 | 75.00% |
| ManitobaLM vs Nina | 2–2 | 50.00% |
| ManitobaLM vs Jack-8 | 0–3 | 0.00% |
| ManitobaLM vs Leo | 1–2 | 33.33% |
| ManitobaLM vs Claudio | 0–3 | 0.00% |
| ManitobaLM vs Shaheen | 3–0 | 100.00% |
| ManitobaLM vs Zafina | 3–0 | 100.00% |
| ManitobaLM vs Azucena | 1–2 | 33.33% |
| ManitobaLM vs Paul | 1–0 | 100.00% |
| ManitobaLM vs Kuma | 0–1 | 0.00% |
| ManitobaLM vs Lidia | 1–0 | 100.00% |
| ManitobaLM vs Anna | 1–0 | 100.00% |
| ManitobaLM vs Fahkumram | 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.