| Pythagoras10M vs Jin | 30–23 | 56.60% |
| Pythagoras10M vs Kazuya | 19–19 | 50.00% |
| Pythagoras10M vs Law | 23–9 | 71.88% |
| Pythagoras10M vs Bryan | 13–13 | 50.00% |
| Pythagoras10M vs Steve | 8–17 | 32.00% |
| Pythagoras10M vs Reina | 9–16 | 36.00% |
| Pythagoras10M vs King | 12–12 | 50.00% |
| Pythagoras10M vs Yoshimitsu | 11–13 | 45.83% |
| Pythagoras10M vs Lee | 13–10 | 56.52% |
| Pythagoras10M vs Azucena | 11–11 | 50.00% |
| Pythagoras10M vs Eddy | 13–9 | 59.09% |
| Pythagoras10M vs Devil Jin | 8–11 | 42.11% |
| Pythagoras10M vs Dragunov | 10–9 | 52.63% |
| Pythagoras10M vs Alisa | 13–6 | 68.42% |
| Pythagoras10M vs Paul | 7–10 | 41.18% |
| Pythagoras10M vs Hwoarang | 6–10 | 37.50% |
| Pythagoras10M vs Feng | 5–11 | 31.25% |
| Pythagoras10M vs Jun | 8–8 | 50.00% |
| Pythagoras10M vs Xiaoyu | 7–8 | 46.67% |
| Pythagoras10M vs Lili | 8–7 | 53.33% |
| Pythagoras10M vs Heihachi | 12–3 | 80.00% |
| Pythagoras10M vs Nina | 6–8 | 42.86% |
| Pythagoras10M vs Leroy | 5–7 | 41.67% |
| Pythagoras10M vs Victor | 5–7 | 41.67% |
| Pythagoras10M vs Raven | 9–3 | 75.00% |
| Pythagoras10M vs Lars | 3–6 | 33.33% |
| Pythagoras10M vs Kuma | 2–5 | 28.57% |
| Pythagoras10M vs Clive | 3–3 | 50.00% |
| Pythagoras10M vs Leo | 3–2 | 60.00% |
| Pythagoras10M vs Shaheen | 2–3 | 40.00% |
| Pythagoras10M vs Anna | 3–1 | 75.00% |
| Pythagoras10M vs Asuka | 1–2 | 33.33% |
| Pythagoras10M vs Panda | 1–2 | 33.33% |
| Pythagoras10M vs Lidia | 1–2 | 33.33% |
| Pythagoras10M vs Jack-8 | 2–0 | 100.00% |
| Pythagoras10M vs Claudio | 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.