| PlanetBMCB vs Reina | 25–23 | 52.08% |
| PlanetBMCB vs King | 23–22 | 51.11% |
| PlanetBMCB vs Hwoarang | 15–17 | 46.88% |
| PlanetBMCB vs Nina | 21–8 | 72.41% |
| PlanetBMCB vs Jin | 15–13 | 53.57% |
| PlanetBMCB vs Heihachi | 12–12 | 50.00% |
| PlanetBMCB vs Steve | 13–8 | 61.90% |
| PlanetBMCB vs Eddy | 8–13 | 38.10% |
| PlanetBMCB vs Lars | 8–10 | 44.44% |
| PlanetBMCB vs Kazuya | 9–6 | 60.00% |
| PlanetBMCB vs Feng | 7–8 | 46.67% |
| PlanetBMCB vs Dragunov | 7–8 | 46.67% |
| PlanetBMCB vs Azucena | 6–8 | 42.86% |
| PlanetBMCB vs Bryan | 10–3 | 76.92% |
| PlanetBMCB vs Lili | 7–5 | 58.33% |
| PlanetBMCB vs Miary Zo | 3–9 | 25.00% |
| PlanetBMCB vs Asuka | 9–2 | 81.82% |
| PlanetBMCB vs Clive | 3–8 | 27.27% |
| PlanetBMCB vs Raven | 5–5 | 50.00% |
| PlanetBMCB vs Devil Jin | 5–4 | 55.56% |
| PlanetBMCB vs Leo | 5–4 | 55.56% |
| PlanetBMCB vs Xiaoyu | 5–3 | 62.50% |
| PlanetBMCB vs Alisa | 4–4 | 50.00% |
| PlanetBMCB vs Lee | 8–0 | 100.00% |
| PlanetBMCB vs Jun | 5–3 | 62.50% |
| PlanetBMCB vs Lidia | 4–4 | 50.00% |
| PlanetBMCB vs Law | 3–4 | 42.86% |
| PlanetBMCB vs Yoshimitsu | 5–2 | 71.43% |
| PlanetBMCB vs Claudio | 1–6 | 14.29% |
| PlanetBMCB vs Paul | 2–4 | 33.33% |
| PlanetBMCB vs Kuma | 2–4 | 33.33% |
| PlanetBMCB vs Leroy | 4–2 | 66.67% |
| PlanetBMCB vs Panda | 1–2 | 33.33% |
| PlanetBMCB vs Victor | 2–1 | 66.67% |
| PlanetBMCB vs Anna | 2–1 | 66.67% |
| PlanetBMCB vs Armor King | 1–2 | 33.33% |
| PlanetBMCB vs Jack-8 | 0–2 | 0.00% |
| PlanetBMCB vs Shaheen | 2–0 | 100.00% |
| PlanetBMCB vs Fahkumram | 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.