| BestInTheLobby vs Jin | 28–38 | 42.42% |
| BestInTheLobby vs King | 22–23 | 48.89% |
| BestInTheLobby vs Dragunov | 19–21 | 47.50% |
| BestInTheLobby vs Hwoarang | 15–23 | 39.47% |
| BestInTheLobby vs Bryan | 23–13 | 63.89% |
| BestInTheLobby vs Reina | 9–27 | 25.00% |
| BestInTheLobby vs Kazuya | 20–14 | 58.82% |
| BestInTheLobby vs Eddy | 13–17 | 43.33% |
| BestInTheLobby vs Lee | 15–13 | 53.57% |
| BestInTheLobby vs Asuka | 17–10 | 62.96% |
| BestInTheLobby vs Law | 12–14 | 46.15% |
| BestInTheLobby vs Jun | 13–13 | 50.00% |
| BestInTheLobby vs Lili | 15–9 | 62.50% |
| BestInTheLobby vs Leo | 12–11 | 52.17% |
| BestInTheLobby vs Steve | 9–13 | 40.91% |
| BestInTheLobby vs Xiaoyu | 12–9 | 57.14% |
| BestInTheLobby vs Azucena | 13–8 | 61.90% |
| BestInTheLobby vs Lars | 16–4 | 80.00% |
| BestInTheLobby vs Lidia | 10–9 | 52.63% |
| BestInTheLobby vs Paul | 5–12 | 29.41% |
| BestInTheLobby vs Devil Jin | 9–8 | 52.94% |
| BestInTheLobby vs Yoshimitsu | 6–10 | 37.50% |
| BestInTheLobby vs Victor | 7–9 | 43.75% |
| BestInTheLobby vs Fahkumram | 9–7 | 56.25% |
| BestInTheLobby vs Feng | 7–5 | 58.33% |
| BestInTheLobby vs Claudio | 8–4 | 66.67% |
| BestInTheLobby vs Alisa | 9–2 | 81.82% |
| BestInTheLobby vs Heihachi | 0–10 | 0.00% |
| BestInTheLobby vs Leroy | 6–3 | 66.67% |
| BestInTheLobby vs Shaheen | 4–4 | 50.00% |
| BestInTheLobby vs Nina | 5–2 | 71.43% |
| BestInTheLobby vs Raven | 3–4 | 42.86% |
| BestInTheLobby vs Anna | 3–4 | 42.86% |
| BestInTheLobby vs Zafina | 0–5 | 0.00% |
| BestInTheLobby vs Kuma | 2–1 | 66.67% |
| BestInTheLobby vs Clive | 2–1 | 66.67% |
| BestInTheLobby vs Panda | 1–1 | 50.00% |
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.