| ThatToygerM8 vs Kazuya | 38–35 | 52.05% |
| ThatToygerM8 vs Jin | 34–27 | 55.74% |
| ThatToygerM8 vs King | 23–30 | 43.40% |
| ThatToygerM8 vs Reina | 31–16 | 65.96% |
| ThatToygerM8 vs Bryan | 18–20 | 47.37% |
| ThatToygerM8 vs Steve | 18–17 | 51.43% |
| ThatToygerM8 vs Law | 21–9 | 70.00% |
| ThatToygerM8 vs Devil Jin | 14–16 | 46.67% |
| ThatToygerM8 vs Dragunov | 21–9 | 70.00% |
| ThatToygerM8 vs Hwoarang | 16–11 | 59.26% |
| ThatToygerM8 vs Xiaoyu | 14–13 | 51.85% |
| ThatToygerM8 vs Clive | 16–10 | 61.54% |
| ThatToygerM8 vs Yoshimitsu | 14–9 | 60.87% |
| ThatToygerM8 vs Nina | 16–6 | 72.73% |
| ThatToygerM8 vs Paul | 9–12 | 42.86% |
| ThatToygerM8 vs Lili | 9–12 | 42.86% |
| ThatToygerM8 vs Heihachi | 13–7 | 65.00% |
| ThatToygerM8 vs Lee | 4–12 | 25.00% |
| ThatToygerM8 vs Eddy | 8–7 | 53.33% |
| ThatToygerM8 vs Azucena | 11–3 | 78.57% |
| ThatToygerM8 vs Claudio | 5–7 | 41.67% |
| ThatToygerM8 vs Jun | 8–3 | 72.73% |
| ThatToygerM8 vs Victor | 5–6 | 45.45% |
| ThatToygerM8 vs Lidia | 5–6 | 45.45% |
| ThatToygerM8 vs Feng | 8–2 | 80.00% |
| ThatToygerM8 vs Alisa | 6–3 | 66.67% |
| ThatToygerM8 vs Raven | 5–4 | 55.56% |
| ThatToygerM8 vs Anna | 3–4 | 42.86% |
| ThatToygerM8 vs Jack-8 | 1–5 | 16.67% |
| ThatToygerM8 vs Asuka | 4–2 | 66.67% |
| ThatToygerM8 vs Leo | 3–2 | 60.00% |
| ThatToygerM8 vs Kuma | 4–1 | 80.00% |
| ThatToygerM8 vs Shaheen | 3–1 | 75.00% |
| ThatToygerM8 vs Lars | 0–3 | 0.00% |
| ThatToygerM8 vs Panda | 2–0 | 100.00% |
| ThatToygerM8 vs Zafina | 2–0 | 100.00% |
| ThatToygerM8 vs Leroy | 2–0 | 100.00% |
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.