| RageBait vs Armor King | 52–68 | 43.33% |
| RageBait vs Jin | 28–43 | 39.44% |
| RageBait vs Law | 42–28 | 60.00% |
| RageBait vs Steve | 45–20 | 69.23% |
| RageBait vs Kazuya | 32–31 | 50.79% |
| RageBait vs King | 34–26 | 56.67% |
| RageBait vs Hwoarang | 27–24 | 52.94% |
| RageBait vs Feng | 23–18 | 56.10% |
| RageBait vs Bryan | 18–22 | 45.00% |
| RageBait vs Lili | 23–14 | 62.16% |
| RageBait vs Azucena | 11–21 | 34.38% |
| RageBait vs Paul | 19–12 | 61.29% |
| RageBait vs Yoshimitsu | 14–16 | 46.67% |
| RageBait vs Lars | 19–10 | 65.52% |
| RageBait vs Raven | 13–16 | 44.83% |
| RageBait vs Heihachi | 18–11 | 62.07% |
| RageBait vs Jun | 16–12 | 57.14% |
| RageBait vs Reina | 14–14 | 50.00% |
| RageBait vs Fahkumram | 19–9 | 67.86% |
| RageBait vs Xiaoyu | 6–21 | 22.22% |
| RageBait vs Dragunov | 14–12 | 53.85% |
| RageBait vs Lee | 16–7 | 69.57% |
| RageBait vs Miary Zo | 9–13 | 40.91% |
| RageBait vs Eddy | 11–10 | 52.38% |
| RageBait vs Asuka | 11–9 | 55.00% |
| RageBait vs Devil Jin | 10–10 | 50.00% |
| RageBait vs Nina | 10–10 | 50.00% |
| RageBait vs Lidia | 10–9 | 52.63% |
| RageBait vs Anna | 8–10 | 44.44% |
| RageBait vs Leroy | 8–7 | 53.33% |
| RageBait vs Shaheen | 9–4 | 69.23% |
| RageBait vs Jack-8 | 7–4 | 63.64% |
| RageBait vs Leo | 7–4 | 63.64% |
| RageBait vs Alisa | 5–6 | 45.45% |
| RageBait vs Zafina | 3–5 | 37.50% |
| RageBait vs Victor | 3–5 | 37.50% |
| RageBait vs Clive | 4–4 | 50.00% |
| RageBait vs Kuma | 3–4 | 42.86% |
| RageBait vs Claudio | 1–5 | 16.67% |
| RageBait vs Panda | 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.