| SpooKyXn vs Kazuya | 136–117 | 53.75% |
| SpooKyXn vs Jin | 118–110 | 51.75% |
| SpooKyXn vs King | 80–80 | 50.00% |
| SpooKyXn vs Reina | 79–72 | 52.32% |
| SpooKyXn vs Bryan | 83–62 | 57.24% |
| SpooKyXn vs Law | 77–66 | 53.85% |
| SpooKyXn vs Steve | 77–64 | 54.61% |
| SpooKyXn vs Hwoarang | 66–58 | 53.23% |
| SpooKyXn vs Paul | 52–65 | 44.44% |
| SpooKyXn vs Dragunov | 48–63 | 43.24% |
| SpooKyXn vs Jun | 57–54 | 51.35% |
| SpooKyXn vs Yoshimitsu | 50–60 | 45.45% |
| SpooKyXn vs Lili | 57–47 | 54.81% |
| SpooKyXn vs Eddy | 61–34 | 64.21% |
| SpooKyXn vs Heihachi | 45–40 | 52.94% |
| SpooKyXn vs Devil Jin | 48–36 | 57.14% |
| SpooKyXn vs Feng | 33–37 | 47.14% |
| SpooKyXn vs Lars | 37–32 | 53.62% |
| SpooKyXn vs Alisa | 28–38 | 42.42% |
| SpooKyXn vs Asuka | 34–31 | 52.31% |
| SpooKyXn vs Azucena | 25–40 | 38.46% |
| SpooKyXn vs Lee | 39–25 | 60.94% |
| SpooKyXn vs Fahkumram | 30–34 | 46.88% |
| SpooKyXn vs Nina | 27–35 | 43.55% |
| SpooKyXn vs Victor | 34–28 | 54.84% |
| SpooKyXn vs Leo | 13–39 | 25.00% |
| SpooKyXn vs Xiaoyu | 26–22 | 54.17% |
| SpooKyXn vs Leroy | 24–24 | 50.00% |
| SpooKyXn vs Lidia | 25–20 | 55.56% |
| SpooKyXn vs Jack-8 | 17–25 | 40.48% |
| SpooKyXn vs Claudio | 19–23 | 45.24% |
| SpooKyXn vs Kuma | 11–19 | 36.67% |
| SpooKyXn vs Clive | 12–18 | 40.00% |
| SpooKyXn vs Raven | 9–20 | 31.03% |
| SpooKyXn vs Anna | 14–15 | 48.28% |
| SpooKyXn vs Shaheen | 15–7 | 68.18% |
| SpooKyXn vs Zafina | 10–11 | 47.62% |
| SpooKyXn vs Panda | 5–8 | 38.46% |
| SpooKyXn vs Armor King | 6–2 | 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.