| KIDGibby vs Miary Zo | 30–70 | 30.00% |
| KIDGibby vs Armor King | 29–55 | 34.52% |
| KIDGibby vs Jin | 31–52 | 37.35% |
| KIDGibby vs Steve | 24–52 | 31.58% |
| KIDGibby vs Hwoarang | 27–46 | 36.99% |
| KIDGibby vs Law | 27–42 | 39.13% |
| KIDGibby vs King | 16–49 | 24.62% |
| KIDGibby vs Bryan | 21–37 | 36.21% |
| KIDGibby vs Kazuya | 18–40 | 31.03% |
| KIDGibby vs Eddy | 15–36 | 29.41% |
| KIDGibby vs Reina | 20–25 | 44.44% |
| KIDGibby vs Lili | 14–29 | 32.56% |
| KIDGibby vs Dragunov | 13–29 | 30.95% |
| KIDGibby vs Heihachi | 12–25 | 32.43% |
| KIDGibby vs Jun | 10–25 | 28.57% |
| KIDGibby vs Victor | 13–20 | 39.39% |
| KIDGibby vs Lars | 7–25 | 21.88% |
| KIDGibby vs Azucena | 12–20 | 37.50% |
| KIDGibby vs Lidia | 13–19 | 40.62% |
| KIDGibby vs Yoshimitsu | 13–18 | 41.94% |
| KIDGibby vs Paul | 11–18 | 37.93% |
| KIDGibby vs Leroy | 19–10 | 65.52% |
| KIDGibby vs Clive | 7–22 | 24.14% |
| KIDGibby vs Fahkumram | 6–21 | 22.22% |
| KIDGibby vs Leo | 13–13 | 50.00% |
| KIDGibby vs Devil Jin | 8–16 | 33.33% |
| KIDGibby vs Nina | 8–14 | 36.36% |
| KIDGibby vs Anna | 6–16 | 27.27% |
| KIDGibby vs Xiaoyu | 7–14 | 33.33% |
| KIDGibby vs Lee | 7–12 | 36.84% |
| KIDGibby vs Raven | 4–14 | 22.22% |
| KIDGibby vs Asuka | 6–9 | 40.00% |
| KIDGibby vs Alisa | 4–11 | 26.67% |
| KIDGibby vs Jack-8 | 2–11 | 15.38% |
| KIDGibby vs Kuma | 3–8 | 27.27% |
| KIDGibby vs Claudio | 0–9 | 0.00% |
| KIDGibby vs Shaheen | 2–5 | 28.57% |
| KIDGibby vs Zafina | 2–4 | 33.33% |
| KIDGibby vs Feng | 0–3 | 0.00% |
| KIDGibby vs Panda | 0–3 | 0.00% |
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.