| Rykimaru vs Kazuya | 67–31 | 68.37% |
| Rykimaru vs Hwoarang | 56–33 | 62.92% |
| Rykimaru vs Steve | 52–35 | 59.77% |
| Rykimaru vs Law | 55–25 | 68.75% |
| Rykimaru vs Alisa | 50–23 | 68.49% |
| Rykimaru vs Dragunov | 35–34 | 50.72% |
| Rykimaru vs Lili | 41–24 | 63.08% |
| Rykimaru vs Bryan | 35–27 | 56.45% |
| Rykimaru vs Jin | 39–19 | 67.24% |
| Rykimaru vs Paul | 31–22 | 58.49% |
| Rykimaru vs King | 34–16 | 68.00% |
| Rykimaru vs Yoshimitsu | 33–17 | 66.00% |
| Rykimaru vs Heihachi | 27–22 | 55.10% |
| Rykimaru vs Devil Jin | 27–16 | 62.79% |
| Rykimaru vs Xiaoyu | 20–17 | 54.05% |
| Rykimaru vs Lars | 23–11 | 67.65% |
| Rykimaru vs Feng | 25–8 | 75.76% |
| Rykimaru vs Asuka | 19–13 | 59.38% |
| Rykimaru vs Claudio | 19–13 | 59.38% |
| Rykimaru vs Lee | 21–11 | 65.62% |
| Rykimaru vs Reina | 15–17 | 46.88% |
| Rykimaru vs Nina | 16–15 | 51.61% |
| Rykimaru vs Clive | 24–6 | 80.00% |
| Rykimaru vs Leroy | 17–11 | 60.71% |
| Rykimaru vs Azucena | 22–4 | 84.62% |
| Rykimaru vs Jack-8 | 15–9 | 62.50% |
| Rykimaru vs Eddy | 17–7 | 70.83% |
| Rykimaru vs Kuma | 11–12 | 47.83% |
| Rykimaru vs Armor King | 17–6 | 73.91% |
| Rykimaru vs Victor | 14–8 | 63.64% |
| Rykimaru vs Jun | 18–3 | 85.71% |
| Rykimaru vs Shaheen | 15–5 | 75.00% |
| Rykimaru vs Leo | 12–7 | 63.16% |
| Rykimaru vs Raven | 12–5 | 70.59% |
| Rykimaru vs Zafina | 13–3 | 81.25% |
| Rykimaru vs Lidia | 8–6 | 57.14% |
| Rykimaru vs Anna | 6–7 | 46.15% |
| Rykimaru vs Fahkumram | 5–5 | 50.00% |
| Rykimaru vs Panda | 2–5 | 28.57% |
| Rykimaru vs Miary Zo | 3–0 | 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.