| KERBOY_30 vs Kazuya | 153–186 | 45.13% |
| KERBOY_30 vs Jin | 140–141 | 49.82% |
| KERBOY_30 vs Reina | 142–108 | 56.80% |
| KERBOY_30 vs King | 128–118 | 52.03% |
| KERBOY_30 vs Bryan | 107–131 | 44.96% |
| KERBOY_30 vs Dragunov | 92–123 | 42.79% |
| KERBOY_30 vs Steve | 93–94 | 49.73% |
| KERBOY_30 vs Hwoarang | 71–103 | 40.80% |
| KERBOY_30 vs Yoshimitsu | 95–77 | 55.23% |
| KERBOY_30 vs Lars | 76–95 | 44.44% |
| KERBOY_30 vs Law | 74–93 | 44.31% |
| KERBOY_30 vs Heihachi | 76–89 | 46.06% |
| KERBOY_30 vs Devil Jin | 67–81 | 45.27% |
| KERBOY_30 vs Lili | 71–75 | 48.63% |
| KERBOY_30 vs Nina | 61–63 | 49.19% |
| KERBOY_30 vs Victor | 66–58 | 53.23% |
| KERBOY_30 vs Paul | 53–69 | 43.44% |
| KERBOY_30 vs Xiaoyu | 64–55 | 53.78% |
| KERBOY_30 vs Lee | 52–63 | 45.22% |
| KERBOY_30 vs Asuka | 42–66 | 38.89% |
| KERBOY_30 vs Azucena | 51–37 | 57.95% |
| KERBOY_30 vs Leo | 39–48 | 44.83% |
| KERBOY_30 vs Eddy | 43–43 | 50.00% |
| KERBOY_30 vs Lidia | 45–41 | 52.33% |
| KERBOY_30 vs Armor King | 38–47 | 44.71% |
| KERBOY_30 vs Alisa | 35–48 | 42.17% |
| KERBOY_30 vs Jun | 39–43 | 47.56% |
| KERBOY_30 vs Feng | 38–42 | 47.50% |
| KERBOY_30 vs Claudio | 34–46 | 42.50% |
| KERBOY_30 vs Clive | 36–41 | 46.75% |
| KERBOY_30 vs Anna | 37–32 | 53.62% |
| KERBOY_30 vs Leroy | 23–37 | 38.33% |
| KERBOY_30 vs Shaheen | 19–32 | 37.25% |
| KERBOY_30 vs Fahkumram | 18–30 | 37.50% |
| KERBOY_30 vs Jack-8 | 20–26 | 43.48% |
| KERBOY_30 vs Kuma | 15–28 | 34.88% |
| KERBOY_30 vs Zafina | 17–19 | 47.22% |
| KERBOY_30 vs Raven | 11–20 | 35.48% |
| KERBOY_30 vs Panda | 10–9 | 52.63% |
| KERBOY_30 vs Miary Zo | 6–4 | 60.00% |
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.