| Redmatix vs Kazuya | 76–86 | 46.91% |
| Redmatix vs Jin | 63–61 | 50.81% |
| Redmatix vs King | 44–51 | 46.32% |
| Redmatix vs Reina | 40–48 | 45.45% |
| Redmatix vs Bryan | 28–43 | 39.44% |
| Redmatix vs Hwoarang | 29–41 | 41.43% |
| Redmatix vs Paul | 27–36 | 42.86% |
| Redmatix vs Law | 32–26 | 55.17% |
| Redmatix vs Yoshimitsu | 30–25 | 54.55% |
| Redmatix vs Steve | 23–32 | 41.82% |
| Redmatix vs Dragunov | 30–24 | 55.56% |
| Redmatix vs Devil Jin | 19–25 | 43.18% |
| Redmatix vs Eddy | 23–21 | 52.27% |
| Redmatix vs Lili | 18–25 | 41.86% |
| Redmatix vs Lidia | 9–28 | 24.32% |
| Redmatix vs Xiaoyu | 10–19 | 34.48% |
| Redmatix vs Victor | 14–15 | 48.28% |
| Redmatix vs Lee | 11–17 | 39.29% |
| Redmatix vs Jun | 13–14 | 48.15% |
| Redmatix vs Jack-8 | 14–12 | 53.85% |
| Redmatix vs Lars | 15–10 | 60.00% |
| Redmatix vs Asuka | 19–5 | 79.17% |
| Redmatix vs Claudio | 6–18 | 25.00% |
| Redmatix vs Leo | 10–12 | 45.45% |
| Redmatix vs Nina | 12–9 | 57.14% |
| Redmatix vs Azucena | 8–12 | 40.00% |
| Redmatix vs Feng | 14–5 | 73.68% |
| Redmatix vs Alisa | 11–8 | 57.89% |
| Redmatix vs Leroy | 6–13 | 31.58% |
| Redmatix vs Armor King | 6–11 | 35.29% |
| Redmatix vs Heihachi | 12–2 | 85.71% |
| Redmatix vs Zafina | 6–7 | 46.15% |
| Redmatix vs Raven | 5–7 | 41.67% |
| Redmatix vs Kuma | 7–4 | 63.64% |
| Redmatix vs Shaheen | 7–3 | 70.00% |
| Redmatix vs Miary Zo | 1–9 | 10.00% |
| Redmatix vs Anna | 6–2 | 75.00% |
| Redmatix vs Panda | 1–4 | 20.00% |
| Redmatix vs Clive | 3–2 | 60.00% |
| Redmatix vs Fahkumram | 4–1 | 80.00% |
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.