| ttv.Mandolin_AU vs King | 59–28 | 67.82% |
| ttv.Mandolin_AU vs Dragunov | 56–23 | 70.89% |
| ttv.Mandolin_AU vs Bryan | 52–25 | 67.53% |
| ttv.Mandolin_AU vs Kazuya | 39–29 | 57.35% |
| ttv.Mandolin_AU vs Jin | 42–21 | 66.67% |
| ttv.Mandolin_AU vs Hwoarang | 38–21 | 64.41% |
| ttv.Mandolin_AU vs Reina | 44–15 | 74.58% |
| ttv.Mandolin_AU vs Steve | 36–19 | 65.45% |
| ttv.Mandolin_AU vs Devil Jin | 38–14 | 73.08% |
| ttv.Mandolin_AU vs Paul | 29–20 | 59.18% |
| ttv.Mandolin_AU vs Asuka | 27–22 | 55.10% |
| ttv.Mandolin_AU vs Law | 34–14 | 70.83% |
| ttv.Mandolin_AU vs Lee | 35–13 | 72.92% |
| ttv.Mandolin_AU vs Azucena | 29–16 | 64.44% |
| ttv.Mandolin_AU vs Lili | 33–8 | 80.49% |
| ttv.Mandolin_AU vs Feng | 29–11 | 72.50% |
| ttv.Mandolin_AU vs Nina | 27–11 | 71.05% |
| ttv.Mandolin_AU vs Yoshimitsu | 23–14 | 62.16% |
| ttv.Mandolin_AU vs Jun | 27–10 | 72.97% |
| ttv.Mandolin_AU vs Shaheen | 19–17 | 52.78% |
| ttv.Mandolin_AU vs Jack-8 | 21–13 | 61.76% |
| ttv.Mandolin_AU vs Lars | 14–16 | 46.67% |
| ttv.Mandolin_AU vs Leo | 20–9 | 68.97% |
| ttv.Mandolin_AU vs Kuma | 14–13 | 51.85% |
| ttv.Mandolin_AU vs Leroy | 18–8 | 69.23% |
| ttv.Mandolin_AU vs Victor | 13–13 | 50.00% |
| ttv.Mandolin_AU vs Claudio | 19–6 | 76.00% |
| ttv.Mandolin_AU vs Eddy | 17–6 | 73.91% |
| ttv.Mandolin_AU vs Xiaoyu | 14–7 | 66.67% |
| ttv.Mandolin_AU vs Raven | 18–2 | 90.00% |
| ttv.Mandolin_AU vs Alisa | 11–4 | 73.33% |
| ttv.Mandolin_AU vs Lidia | 5–9 | 35.71% |
| ttv.Mandolin_AU vs Zafina | 8–5 | 61.54% |
| ttv.Mandolin_AU vs Panda | 3–3 | 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.