| GIBBSON vs Kazuya | 136–122 | 52.71% |
| GIBBSON vs Bryan | 97–98 | 49.74% |
| GIBBSON vs Jin | 106–86 | 55.21% |
| GIBBSON vs Steve | 105–84 | 55.56% |
| GIBBSON vs King | 101–87 | 53.72% |
| GIBBSON vs Heihachi | 112–73 | 60.54% |
| GIBBSON vs Law | 91–75 | 54.82% |
| GIBBSON vs Hwoarang | 112–54 | 67.47% |
| GIBBSON vs Asuka | 71–60 | 54.20% |
| GIBBSON vs Reina | 76–55 | 58.02% |
| GIBBSON vs Clive | 79–47 | 62.70% |
| GIBBSON vs Dragunov | 77–47 | 62.10% |
| GIBBSON vs Lee | 65–56 | 53.72% |
| GIBBSON vs Yoshimitsu | 66–53 | 55.46% |
| GIBBSON vs Paul | 56–54 | 50.91% |
| GIBBSON vs Lili | 44–61 | 41.90% |
| GIBBSON vs Jun | 59–45 | 56.73% |
| GIBBSON vs Eddy | 53–47 | 53.00% |
| GIBBSON vs Victor | 55–39 | 58.51% |
| GIBBSON vs Lars | 45–48 | 48.39% |
| GIBBSON vs Azucena | 43–49 | 46.74% |
| GIBBSON vs Nina | 39–51 | 43.33% |
| GIBBSON vs Lidia | 39–51 | 43.33% |
| GIBBSON vs Alisa | 40–43 | 48.19% |
| GIBBSON vs Devil Jin | 43–35 | 55.13% |
| GIBBSON vs Xiaoyu | 33–36 | 47.83% |
| GIBBSON vs Raven | 39–28 | 58.21% |
| GIBBSON vs Leroy | 33–30 | 52.38% |
| GIBBSON vs Leo | 30–31–1 | 49.18% |
| GIBBSON vs Jack-8 | 32–29 | 52.46% |
| GIBBSON vs Kuma | 26–30 | 46.43% |
| GIBBSON vs Claudio | 20–35 | 36.36% |
| GIBBSON vs Fahkumram | 31–19 | 62.00% |
| GIBBSON vs Feng | 16–32 | 33.33% |
| GIBBSON vs Zafina | 29–19 | 60.42% |
| GIBBSON vs Anna | 19–15 | 55.88% |
| GIBBSON vs Armor King | 23–10 | 69.70% |
| GIBBSON vs Shaheen | 7–2 | 77.78% |
| GIBBSON vs Panda | 5–2 | 71.43% |
| GIBBSON vs Miary Zo | 3–1 | 75.00% |
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.