| GreedyToni vs Kazuya | 68–63 | 51.91% |
| GreedyToni vs Jin | 67–58 | 53.60% |
| GreedyToni vs Hwoarang | 49–45 | 52.13% |
| GreedyToni vs King | 42–49 | 46.15% |
| GreedyToni vs Bryan | 51–34 | 60.00% |
| GreedyToni vs Paul | 22–57 | 27.85% |
| GreedyToni vs Reina | 37–39 | 48.68% |
| GreedyToni vs Dragunov | 39–34 | 53.42% |
| GreedyToni vs Yoshimitsu | 39–32 | 54.93% |
| GreedyToni vs Lili | 28–43 | 39.44% |
| GreedyToni vs Nina | 37–33 | 52.86% |
| GreedyToni vs Law | 38–26 | 59.38% |
| GreedyToni vs Jun | 26–27 | 49.06% |
| GreedyToni vs Devil Jin | 20–31 | 39.22% |
| GreedyToni vs Steve | 29–21 | 58.00% |
| GreedyToni vs Claudio | 27–21 | 56.25% |
| GreedyToni vs Lee | 26–20 | 56.52% |
| GreedyToni vs Asuka | 27–16 | 62.79% |
| GreedyToni vs Xiaoyu | 15–26 | 36.59% |
| GreedyToni vs Azucena | 26–14 | 65.00% |
| GreedyToni vs Victor | 12–20 | 37.50% |
| GreedyToni vs Raven | 19–12 | 61.29% |
| GreedyToni vs Lars | 17–13 | 56.67% |
| GreedyToni vs Armor King | 14–16 | 46.67% |
| GreedyToni vs Feng | 17–11 | 60.71% |
| GreedyToni vs Leroy | 14–14 | 50.00% |
| GreedyToni vs Leo | 10–16 | 38.46% |
| GreedyToni vs Jack-8 | 9–13 | 40.91% |
| GreedyToni vs Eddy | 12–9 | 57.14% |
| GreedyToni vs Alisa | 8–9 | 47.06% |
| GreedyToni vs Kuma | 5–5 | 50.00% |
| GreedyToni vs Zafina | 3–7 | 30.00% |
| GreedyToni vs Panda | 2–5 | 28.57% |
| GreedyToni vs Lidia | 5–1 | 83.33% |
| GreedyToni vs Shaheen | 1–4 | 20.00% |
| GreedyToni vs Heihachi | 3–1 | 75.00% |
| GreedyToni vs Anna | 1–2 | 33.33% |
| GreedyToni vs Clive | 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.