| TK_DBZLocc vs King | 206–178 | 53.65% |
| TK_DBZLocc vs Kazuya | 175–131 | 57.19% |
| TK_DBZLocc vs Jin | 157–133 | 54.14% |
| TK_DBZLocc vs Steve | 157–100 | 61.09% |
| TK_DBZLocc vs Bryan | 150–101 | 59.76% |
| TK_DBZLocc vs Reina | 166–85 | 66.14% |
| TK_DBZLocc vs Law | 126–90 | 58.33% |
| TK_DBZLocc vs Heihachi | 130–79 | 62.20% |
| TK_DBZLocc vs Hwoarang | 85–91 | 48.30% |
| TK_DBZLocc vs Lee | 83–85 | 49.40% |
| TK_DBZLocc vs Yoshimitsu | 98–60 | 62.03% |
| TK_DBZLocc vs Dragunov | 86–72 | 54.43% |
| TK_DBZLocc vs Paul | 80–68 | 54.05% |
| TK_DBZLocc vs Asuka | 82–65 | 55.78% |
| TK_DBZLocc vs Azucena | 83–63 | 56.85% |
| TK_DBZLocc vs Lars | 78–64 | 54.93% |
| TK_DBZLocc vs Feng | 80–61 | 56.74% |
| TK_DBZLocc vs Eddy | 71–62 | 53.38% |
| TK_DBZLocc vs Jun | 66–66 | 50.00% |
| TK_DBZLocc vs Lili | 73–45 | 61.86% |
| TK_DBZLocc vs Devil Jin | 64–45 | 58.72% |
| TK_DBZLocc vs Xiaoyu | 62–46 | 57.41% |
| TK_DBZLocc vs Nina | 54–47 | 53.47% |
| TK_DBZLocc vs Raven | 50–50 | 50.00% |
| TK_DBZLocc vs Lidia | 59–41 | 59.00% |
| TK_DBZLocc vs Leo | 57–42 | 57.58% |
| TK_DBZLocc vs Jack-8 | 60–37 | 61.86% |
| TK_DBZLocc vs Victor | 56–41 | 57.73% |
| TK_DBZLocc vs Leroy | 52–44 | 54.17% |
| TK_DBZLocc vs Armor King | 61–32 | 65.59% |
| TK_DBZLocc vs Clive | 55–34 | 61.80% |
| TK_DBZLocc vs Fahkumram | 58–29 | 66.67% |
| TK_DBZLocc vs Kuma | 34–31 | 52.31% |
| TK_DBZLocc vs Zafina | 34–25 | 57.63% |
| TK_DBZLocc vs Alisa | 31–24 | 56.36% |
| TK_DBZLocc vs Claudio | 29–24 | 54.72% |
| TK_DBZLocc vs Shaheen | 19–26 | 42.22% |
| TK_DBZLocc vs Anna | 26–13 | 66.67% |
| TK_DBZLocc vs Miary Zo | 12–8 | 60.00% |
| TK_DBZLocc vs Panda | 13–6 | 68.42% |
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.