| Tongbal LoveFan vs King | 31–29 | 51.67% |
| Tongbal LoveFan vs Reina | 25–21 | 54.35% |
| Tongbal LoveFan vs Hwoarang | 28–17 | 62.22% |
| Tongbal LoveFan vs Clive | 20–24 | 45.45% |
| Tongbal LoveFan vs Kazuya | 25–18 | 58.14% |
| Tongbal LoveFan vs Jin | 22–20 | 52.38% |
| Tongbal LoveFan vs Steve | 20–18 | 52.63% |
| Tongbal LoveFan vs Lili | 19–19 | 50.00% |
| Tongbal LoveFan vs Bryan | 21–14 | 60.00% |
| Tongbal LoveFan vs Xiaoyu | 13–21 | 38.24% |
| Tongbal LoveFan vs Paul | 15–13 | 53.57% |
| Tongbal LoveFan vs Lee | 12–15 | 44.44% |
| Tongbal LoveFan vs Lars | 10–14 | 41.67% |
| Tongbal LoveFan vs Azucena | 14–10 | 58.33% |
| Tongbal LoveFan vs Law | 7–16 | 30.43% |
| Tongbal LoveFan vs Yoshimitsu | 11–12 | 47.83% |
| Tongbal LoveFan vs Asuka | 17–5 | 77.27% |
| Tongbal LoveFan vs Lidia | 10–12 | 45.45% |
| Tongbal LoveFan vs Heihachi | 13–8 | 61.90% |
| Tongbal LoveFan vs Dragunov | 8–12 | 40.00% |
| Tongbal LoveFan vs Jun | 7–12 | 36.84% |
| Tongbal LoveFan vs Feng | 7–10 | 41.18% |
| Tongbal LoveFan vs Jack-8 | 4–10 | 28.57% |
| Tongbal LoveFan vs Claudio | 7–4 | 63.64% |
| Tongbal LoveFan vs Victor | 4–7 | 36.36% |
| Tongbal LoveFan vs Leo | 5–5 | 50.00% |
| Tongbal LoveFan vs Devil Jin | 3–6 | 33.33% |
| Tongbal LoveFan vs Shaheen | 3–6 | 33.33% |
| Tongbal LoveFan vs Nina | 3–6 | 33.33% |
| Tongbal LoveFan vs Leroy | 4–5 | 44.44% |
| Tongbal LoveFan vs Raven | 6–3 | 66.67% |
| Tongbal LoveFan vs Eddy | 2–5 | 28.57% |
| Tongbal LoveFan vs Kuma | 4–0 | 100.00% |
| Tongbal LoveFan vs Alisa | 0–2 | 0.00% |
| Tongbal LoveFan vs Panda | 0–2 | 0.00% |
| Tongbal LoveFan vs Zafina | 0–2 | 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.