| Ruben vs Jin | 33–36 | 47.83% |
| Ruben vs Steve | 23–25 | 47.92% |
| Ruben vs Hwoarang | 22–16 | 57.89% |
| Ruben vs Bryan | 20–17 | 54.05% |
| Ruben vs Law | 12–18 | 40.00% |
| Ruben vs Jun | 13–14 | 48.15% |
| Ruben vs King | 11–13 | 45.83% |
| Ruben vs Miary Zo | 12–12 | 50.00% |
| Ruben vs Eddy | 4–19 | 17.39% |
| Ruben vs Kazuya | 9–12 | 42.86% |
| Ruben vs Lili | 13–8 | 61.90% |
| Ruben vs Armor King | 12–9 | 57.14% |
| Ruben vs Fahkumram | 12–7 | 63.16% |
| Ruben vs Dragunov | 6–12 | 33.33% |
| Ruben vs Lee | 4–11 | 26.67% |
| Ruben vs Nina | 5–9 | 35.71% |
| Ruben vs Azucena | 4–10 | 28.57% |
| Ruben vs Feng | 3–9 | 25.00% |
| Ruben vs Heihachi | 2–10 | 16.67% |
| Ruben vs Devil Jin | 6–5 | 54.55% |
| Ruben vs Victor | 7–3 | 70.00% |
| Ruben vs Asuka | 4–5 | 44.44% |
| Ruben vs Alisa | 4–5 | 44.44% |
| Ruben vs Clive | 3–6 | 33.33% |
| Ruben vs Raven | 3–5 | 37.50% |
| Ruben vs Xiaoyu | 4–3 | 57.14% |
| Ruben vs Lars | 2–5 | 28.57% |
| Ruben vs Claudio | 5–2 | 71.43% |
| Ruben vs Reina | 4–3 | 57.14% |
| Ruben vs Anna | 2–4 | 33.33% |
| Ruben vs Paul | 2–3 | 40.00% |
| Ruben vs Yoshimitsu | 2–2 | 50.00% |
| Ruben vs Jack-8 | 2–2 | 50.00% |
| Ruben vs Lidia | 0–4 | 0.00% |
| Ruben vs Zafina | 3–0 | 100.00% |
| Ruben vs Leroy | 1–2 | 33.33% |
| Ruben vs Leo | 0–2 | 0.00% |
| Ruben vs Shaheen | 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.