| SpaceJam vs Miary Zo | 69–85–1 | 44.81% |
| SpaceJam vs Steve | 45–52 | 46.39% |
| SpaceJam vs Kazuya | 30–53 | 36.14% |
| SpaceJam vs Jin | 29–51 | 36.25% |
| SpaceJam vs Armor King | 24–53 | 31.17% |
| SpaceJam vs Dragunov | 29–47 | 38.16% |
| SpaceJam vs King | 27–40 | 40.30% |
| SpaceJam vs Hwoarang | 22–45 | 32.84% |
| SpaceJam vs Bryan | 24–36 | 40.00% |
| SpaceJam vs Yoshimitsu | 31–28 | 52.54% |
| SpaceJam vs Law | 30–26 | 53.57% |
| SpaceJam vs Azucena | 27–29 | 48.21% |
| SpaceJam vs Reina | 25–27 | 48.08% |
| SpaceJam vs Fahkumram | 24–27 | 47.06% |
| SpaceJam vs Heihachi | 21–25 | 45.65% |
| SpaceJam vs Jun | 21–23 | 47.73% |
| SpaceJam vs Lili | 30–13 | 69.77% |
| SpaceJam vs Devil Jin | 16–20 | 44.44% |
| SpaceJam vs Nina | 20–15 | 57.14% |
| SpaceJam vs Lee | 13–21 | 38.24% |
| SpaceJam vs Victor | 14–20 | 41.18% |
| SpaceJam vs Asuka | 10–22 | 31.25% |
| SpaceJam vs Lars | 9–22 | 29.03% |
| SpaceJam vs Eddy | 12–19 | 38.71% |
| SpaceJam vs Lidia | 12–14 | 46.15% |
| SpaceJam vs Clive | 9–17 | 34.62% |
| SpaceJam vs Xiaoyu | 11–13 | 45.83% |
| SpaceJam vs Leroy | 12–11 | 52.17% |
| SpaceJam vs Leo | 6–14 | 30.00% |
| SpaceJam vs Zafina | 12–8 | 60.00% |
| SpaceJam vs Feng | 8–11 | 42.11% |
| SpaceJam vs Paul | 8–9 | 47.06% |
| SpaceJam vs Raven | 4–13 | 23.53% |
| SpaceJam vs Alisa | 3–10 | 23.08% |
| SpaceJam vs Jack-8 | 6–5 | 54.55% |
| SpaceJam vs Claudio | 2–7 | 22.22% |
| SpaceJam vs Kuma | 2–6 | 25.00% |
| SpaceJam vs Panda | 2–6 | 25.00% |
| SpaceJam vs Shaheen | 2–3 | 40.00% |
| SpaceJam vs Anna | 2–2 | 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.