| Training Arc vs Kazuya | 80–63 | 55.94% |
| Training Arc vs Bryan | 78–42 | 65.00% |
| Training Arc vs Reina | 66–37 | 64.08% |
| Training Arc vs Jin | 62–37 | 62.63% |
| Training Arc vs Steve | 45–38 | 54.22% |
| Training Arc vs Dragunov | 47–33 | 58.75% |
| Training Arc vs Heihachi | 46–33 | 58.23% |
| Training Arc vs Law | 46–32 | 58.97% |
| Training Arc vs Hwoarang | 45–32 | 58.44% |
| Training Arc vs Lidia | 44–33 | 57.14% |
| Training Arc vs King | 40–35 | 53.33% |
| Training Arc vs Yoshimitsu | 41–14 | 74.55% |
| Training Arc vs Lili | 29–20 | 59.18% |
| Training Arc vs Asuka | 27–21 | 56.25% |
| Training Arc vs Lee | 19–29 | 39.58% |
| Training Arc vs Paul | 21–21 | 50.00% |
| Training Arc vs Nina | 22–20 | 52.38% |
| Training Arc vs Devil Jin | 20–21 | 48.78% |
| Training Arc vs Xiaoyu | 24–15 | 61.54% |
| Training Arc vs Lars | 21–17 | 55.26% |
| Training Arc vs Jun | 27–8 | 77.14% |
| Training Arc vs Leo | 20–13 | 60.61% |
| Training Arc vs Eddy | 25–8 | 75.76% |
| Training Arc vs Zafina | 21–10 | 67.74% |
| Training Arc vs Victor | 18–11 | 62.07% |
| Training Arc vs Feng | 14–13 | 51.85% |
| Training Arc vs Alisa | 18–9 | 66.67% |
| Training Arc vs Kuma | 16–10–1 | 61.54% |
| Training Arc vs Azucena | 20–6 | 76.92% |
| Training Arc vs Leroy | 14–11 | 56.00% |
| Training Arc vs Claudio | 11–10 | 52.38% |
| Training Arc vs Raven | 10–11 | 47.62% |
| Training Arc vs Clive | 11–10 | 52.38% |
| Training Arc vs Jack-8 | 11–9 | 55.00% |
| Training Arc vs Shaheen | 4–10 | 28.57% |
| Training Arc vs Panda | 5–0 | 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.