| Gitto_16 vs King | 60–71 | 45.80% |
| Gitto_16 vs Kazuya | 44–81 | 35.20% |
| Gitto_16 vs Jin | 42–72 | 36.84% |
| Gitto_16 vs Heihachi | 52–60 | 46.43% |
| Gitto_16 vs Bryan | 36–62 | 36.73% |
| Gitto_16 vs Reina | 50–42 | 54.35% |
| Gitto_16 vs Law | 41–47 | 46.59% |
| Gitto_16 vs Azucena | 38–43 | 46.91% |
| Gitto_16 vs Steve | 37–36 | 50.68% |
| Gitto_16 vs Hwoarang | 29–40 | 42.03% |
| Gitto_16 vs Paul | 24–44 | 35.29% |
| Gitto_16 vs Dragunov | 34–25 | 57.63% |
| Gitto_16 vs Clive | 25–33 | 43.10% |
| Gitto_16 vs Lili | 26–31 | 45.61% |
| Gitto_16 vs Eddy | 25–30 | 45.45% |
| Gitto_16 vs Asuka | 31–18 | 63.27% |
| Gitto_16 vs Fahkumram | 16–24 | 40.00% |
| Gitto_16 vs Yoshimitsu | 19–20 | 48.72% |
| Gitto_16 vs Jun | 12–25 | 32.43% |
| Gitto_16 vs Xiaoyu | 9–27 | 25.00% |
| Gitto_16 vs Raven | 16–17 | 48.48% |
| Gitto_16 vs Victor | 14–16 | 46.67% |
| Gitto_16 vs Lee | 10–18 | 35.71% |
| Gitto_16 vs Kuma | 12–16 | 42.86% |
| Gitto_16 vs Lars | 11–15 | 42.31% |
| Gitto_16 vs Leroy | 14–12 | 53.85% |
| Gitto_16 vs Feng | 12–13 | 48.00% |
| Gitto_16 vs Jack-8 | 4–20 | 16.67% |
| Gitto_16 vs Lidia | 10–14 | 41.67% |
| Gitto_16 vs Alisa | 11–12 | 47.83% |
| Gitto_16 vs Nina | 11–12 | 47.83% |
| Gitto_16 vs Claudio | 7–14 | 33.33% |
| Gitto_16 vs Anna | 11–10 | 52.38% |
| Gitto_16 vs Shaheen | 7–13 | 35.00% |
| Gitto_16 vs Zafina | 8–9 | 47.06% |
| Gitto_16 vs Leo | 5–10 | 33.33% |
| Gitto_16 vs Devil Jin | 4–8 | 33.33% |
| Gitto_16 vs Panda | 2–1 | 66.67% |
| Gitto_16 vs Armor King | 1–1 | 50.00% |
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.