| SPB 4ki vs Kazuya | 135–98 | 57.94% |
| SPB 4ki vs Dragunov | 124–75 | 62.31% |
| SPB 4ki vs King | 121–54 | 69.14% |
| SPB 4ki vs Jin | 129–45 | 74.14% |
| SPB 4ki vs Yoshimitsu | 87–43 | 66.92% |
| SPB 4ki vs Steve | 75–49 | 60.48% |
| SPB 4ki vs Lili | 79–40 | 66.39% |
| SPB 4ki vs Hwoarang | 80–38 | 67.80% |
| SPB 4ki vs Bryan | 77–37 | 67.54% |
| SPB 4ki vs Lars | 78–36 | 68.42% |
| SPB 4ki vs Victor | 59–41 | 59.00% |
| SPB 4ki vs Paul | 54–43 | 55.67% |
| SPB 4ki vs Asuka | 59–36 | 62.11% |
| SPB 4ki vs Lee | 57–38 | 60.00% |
| SPB 4ki vs Law | 55–36 | 60.44% |
| SPB 4ki vs Fahkumram | 53–35 | 60.23% |
| SPB 4ki vs Claudio | 47–40 | 54.02% |
| SPB 4ki vs Reina | 53–33 | 61.63% |
| SPB 4ki vs Nina | 50–32 | 60.98% |
| SPB 4ki vs Devil Jin | 48–28 | 63.16% |
| SPB 4ki vs Clive | 50–26 | 65.79% |
| SPB 4ki vs Lidia | 39–36 | 52.00% |
| SPB 4ki vs Xiaoyu | 44–30 | 59.46% |
| SPB 4ki vs Feng | 53–20 | 72.60% |
| SPB 4ki vs Jun | 54–18 | 75.00% |
| SPB 4ki vs Azucena | 43–27 | 61.43% |
| SPB 4ki vs Alisa | 42–27 | 60.87% |
| SPB 4ki vs Shaheen | 48–21 | 69.57% |
| SPB 4ki vs Eddy | 36–31 | 53.73% |
| SPB 4ki vs Heihachi | 31–33 | 48.44% |
| SPB 4ki vs Jack-8 | 26–32 | 44.83% |
| SPB 4ki vs Armor King | 31–15 | 67.39% |
| SPB 4ki vs Leroy | 22–21 | 51.16% |
| SPB 4ki vs Panda | 17–24 | 41.46% |
| SPB 4ki vs Anna | 23–17 | 57.50% |
| SPB 4ki vs Leo | 21–18 | 53.85% |
| SPB 4ki vs Kuma | 20–19 | 51.28% |
| SPB 4ki vs Raven | 26–12 | 68.42% |
| SPB 4ki vs Zafina | 9–11 | 45.00% |
| SPB 4ki vs Miary Zo | 4–6 | 40.00% |
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.