| RendyPLG vs Jin | 87–78 | 52.73% |
| RendyPLG vs Fahkumram | 50–71 | 41.32% |
| RendyPLG vs Kazuya | 55–55 | 50.00% |
| RendyPLG vs Steve | 52–53 | 49.52% |
| RendyPLG vs King | 40–57 | 41.24% |
| RendyPLG vs Dragunov | 33–49 | 40.24% |
| RendyPLG vs Bryan | 31–41 | 43.06% |
| RendyPLG vs Yoshimitsu | 36–27 | 57.14% |
| RendyPLG vs Hwoarang | 21–38 | 35.59% |
| RendyPLG vs Heihachi | 29–27 | 51.79% |
| RendyPLG vs Lars | 25–28 | 47.17% |
| RendyPLG vs Devil Jin | 30–22 | 57.69% |
| RendyPLG vs Victor | 29–20 | 59.18% |
| RendyPLG vs Lili | 29–18 | 61.70% |
| RendyPLG vs Reina | 27–17 | 61.36% |
| RendyPLG vs Paul | 13–30 | 30.23% |
| RendyPLG vs Asuka | 20–23 | 46.51% |
| RendyPLG vs Law | 20–21 | 48.78% |
| RendyPLG vs Leo | 22–14 | 61.11% |
| RendyPLG vs Nina | 18–17 | 51.43% |
| RendyPLG vs Eddy | 16–19 | 45.71% |
| RendyPLG vs Jun | 17–16 | 51.52% |
| RendyPLG vs Clive | 15–17 | 46.88% |
| RendyPLG vs Lidia | 12–19 | 38.71% |
| RendyPLG vs Raven | 13–17 | 43.33% |
| RendyPLG vs Lee | 10–18 | 35.71% |
| RendyPLG vs Azucena | 13–11 | 54.17% |
| RendyPLG vs Claudio | 9–14 | 39.13% |
| RendyPLG vs Alisa | 9–13 | 40.91% |
| RendyPLG vs Anna | 8–14 | 36.36% |
| RendyPLG vs Xiaoyu | 11–10 | 52.38% |
| RendyPLG vs Jack-8 | 7–14 | 33.33% |
| RendyPLG vs Leroy | 7–10 | 41.18% |
| RendyPLG vs Armor King | 8–8 | 50.00% |
| RendyPLG vs Zafina | 6–2 | 75.00% |
| RendyPLG vs Miary Zo | 5–2 | 71.43% |
| RendyPLG vs Shaheen | 1–4 | 20.00% |
| RendyPLG vs Panda | 1–4 | 20.00% |
| RendyPLG vs Feng | 2–2 | 50.00% |
| RendyPLG vs Kuma | 0–3 | 0.00% |
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.