| Gojiraa13 vs Kazuya | 156–150 | 50.98% |
| Gojiraa13 vs Jin | 117–169 | 40.91% |
| Gojiraa13 vs King | 148–129 | 53.43% |
| Gojiraa13 vs Hwoarang | 115–100 | 53.49% |
| Gojiraa13 vs Bryan | 98–97 | 50.26% |
| Gojiraa13 vs Law | 76–106 | 41.76% |
| Gojiraa13 vs Steve | 88–92 | 48.89% |
| Gojiraa13 vs Reina | 71–100 | 41.52% |
| Gojiraa13 vs Dragunov | 73–81 | 47.40% |
| Gojiraa13 vs Paul | 77–60 | 56.20% |
| Gojiraa13 vs Eddy | 60–68 | 46.88% |
| Gojiraa13 vs Yoshimitsu | 42–62 | 40.38% |
| Gojiraa13 vs Jun | 40–63–1 | 38.83% |
| Gojiraa13 vs Heihachi | 45–49 | 47.87% |
| Gojiraa13 vs Lili | 33–49 | 40.24% |
| Gojiraa13 vs Asuka | 37–43 | 46.25% |
| Gojiraa13 vs Alisa | 31–45 | 40.79% |
| Gojiraa13 vs Lee | 28–47 | 37.33% |
| Gojiraa13 vs Devil Jin | 36–38 | 48.65% |
| Gojiraa13 vs Azucena | 25–44 | 36.23% |
| Gojiraa13 vs Nina | 22–43 | 33.85% |
| Gojiraa13 vs Victor | 21–44 | 32.31% |
| Gojiraa13 vs Xiaoyu | 23–41 | 35.94% |
| Gojiraa13 vs Feng | 26–33 | 44.07% |
| Gojiraa13 vs Leroy | 25–32 | 43.86% |
| Gojiraa13 vs Armor King | 20–36 | 35.71% |
| Gojiraa13 vs Lars | 22–33 | 40.00% |
| Gojiraa13 vs Lidia | 30–24 | 55.56% |
| Gojiraa13 vs Clive | 17–36–1 | 32.08% |
| Gojiraa13 vs Jack-8 | 15–23 | 39.47% |
| Gojiraa13 vs Claudio | 15–22 | 40.54% |
| Gojiraa13 vs Raven | 17–18 | 48.57% |
| Gojiraa13 vs Leo | 13–18 | 41.94% |
| Gojiraa13 vs Shaheen | 9–22 | 29.03% |
| Gojiraa13 vs Anna | 10–17 | 37.04% |
| Gojiraa13 vs Fahkumram | 11–16 | 40.74% |
| Gojiraa13 vs Kuma | 11–13 | 45.83% |
| Gojiraa13 vs Miary Zo | 8–14 | 36.36% |
| Gojiraa13 vs Zafina | 10–10 | 50.00% |
| Gojiraa13 vs Panda | 6–8 | 42.86% |
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.