| Ribbon vs Steve | 45–26 | 63.38% |
| Ribbon vs Kazuya | 32–26 | 55.17% |
| Ribbon vs Reina | 32–26 | 55.17% |
| Ribbon vs Jin | 28–20 | 58.33% |
| Ribbon vs Lars | 20–17 | 54.05% |
| Ribbon vs Hwoarang | 17–19 | 47.22% |
| Ribbon vs Bryan | 17–19 | 47.22% |
| Ribbon vs Lili | 21–14 | 60.00% |
| Ribbon vs King | 16–17 | 48.48% |
| Ribbon vs Victor | 13–17 | 43.33% |
| Ribbon vs Law | 16–13 | 55.17% |
| Ribbon vs Lee | 14–13 | 51.85% |
| Ribbon vs Lidia | 14–11 | 56.00% |
| Ribbon vs Leroy | 15–8 | 65.22% |
| Ribbon vs Jun | 12–11 | 52.17% |
| Ribbon vs Azucena | 10–13 | 43.48% |
| Ribbon vs Paul | 7–15 | 31.82% |
| Ribbon vs Asuka | 13–9 | 59.09% |
| Ribbon vs Heihachi | 5–17 | 22.73% |
| Ribbon vs Fahkumram | 12–10 | 54.55% |
| Ribbon vs Claudio | 8–11 | 42.11% |
| Ribbon vs Yoshimitsu | 8–8 | 50.00% |
| Ribbon vs Leo | 4–12 | 25.00% |
| Ribbon vs Devil Jin | 6–9 | 40.00% |
| Ribbon vs Dragunov | 7–7 | 50.00% |
| Ribbon vs Alisa | 1–13 | 7.14% |
| Ribbon vs Raven | 8–6 | 57.14% |
| Ribbon vs Nina | 4–8 | 33.33% |
| Ribbon vs Kuma | 6–6 | 50.00% |
| Ribbon vs Shaheen | 5–6 | 45.45% |
| Ribbon vs Zafina | 6–5 | 54.55% |
| Ribbon vs Xiaoyu | 5–5 | 50.00% |
| Ribbon vs Eddy | 5–5 | 50.00% |
| Ribbon vs Jack-8 | 5–4 | 55.56% |
| Ribbon vs Clive | 4–5 | 44.44% |
| Ribbon vs Anna | 5–4 | 55.56% |
| Ribbon vs Feng | 1–2 | 33.33% |
| Ribbon vs Panda | 2–1 | 66.67% |
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.