| RECYCLE vs Kazuya | 33–36 | 47.83% |
| RECYCLE vs King | 22–35 | 38.60% |
| RECYCLE vs Bryan | 28–27 | 50.91% |
| RECYCLE vs Steve | 27–20 | 57.45% |
| RECYCLE vs Jin | 19–27 | 41.30% |
| RECYCLE vs Reina | 25–21 | 54.35% |
| RECYCLE vs Lili | 20–19 | 51.28% |
| RECYCLE vs Dragunov | 19–20 | 48.72% |
| RECYCLE vs Law | 14–24 | 36.84% |
| RECYCLE vs Asuka | 20–18 | 52.63% |
| RECYCLE vs Lars | 13–24 | 35.14% |
| RECYCLE vs Heihachi | 15–22 | 40.54% |
| RECYCLE vs Hwoarang | 15–21 | 41.67% |
| RECYCLE vs Xiaoyu | 15–15 | 50.00% |
| RECYCLE vs Azucena | 13–15 | 46.43% |
| RECYCLE vs Anna | 12–16 | 42.86% |
| RECYCLE vs Armor King | 15–13 | 53.57% |
| RECYCLE vs Victor | 20–7 | 74.07% |
| RECYCLE vs Clive | 14–10 | 58.33% |
| RECYCLE vs Paul | 9–14 | 39.13% |
| RECYCLE vs Jun | 13–10 | 56.52% |
| RECYCLE vs Fahkumram | 10–8 | 55.56% |
| RECYCLE vs Yoshimitsu | 10–7 | 58.82% |
| RECYCLE vs Leo | 5–12 | 29.41% |
| RECYCLE vs Claudio | 9–8 | 52.94% |
| RECYCLE vs Nina | 9–8 | 52.94% |
| RECYCLE vs Lee | 6–11 | 35.29% |
| RECYCLE vs Eddy | 4–13 | 23.53% |
| RECYCLE vs Feng | 8–8 | 50.00% |
| RECYCLE vs Lidia | 7–8 | 46.67% |
| RECYCLE vs Alisa | 6–8 | 42.86% |
| RECYCLE vs Devil Jin | 5–6 | 45.45% |
| RECYCLE vs Raven | 4–7 | 36.36% |
| RECYCLE vs Jack-8 | 5–5 | 50.00% |
| RECYCLE vs Leroy | 3–5 | 37.50% |
| RECYCLE vs Miary Zo | 3–4 | 42.86% |
| RECYCLE vs Zafina | 5–0 | 100.00% |
| RECYCLE vs Kuma | 3–1 | 75.00% |
| RECYCLE vs Shaheen | 1–2 | 33.33% |
| RECYCLE 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.