| Spunkle vs King | 150–138 | 52.08% |
| Spunkle vs Kazuya | 115–154 | 42.75% |
| Spunkle vs Jin | 121–109 | 52.61% |
| Spunkle vs Steve | 99–117 | 45.83% |
| Spunkle vs Bryan | 101–106 | 48.79% |
| Spunkle vs Hwoarang | 117–84 | 58.21% |
| Spunkle vs Law | 118–76 | 60.82% |
| Spunkle vs Reina | 86–99 | 46.49% |
| Spunkle vs Heihachi | 88–90 | 49.44% |
| Spunkle vs Yoshimitsu | 82–85 | 49.10% |
| Spunkle vs Dragunov | 66–87 | 43.14% |
| Spunkle vs Lili | 75–64 | 53.96% |
| Spunkle vs Eddy | 75–59 | 55.97% |
| Spunkle vs Lee | 56–77 | 42.11% |
| Spunkle vs Armor King | 61–66 | 48.03% |
| Spunkle vs Lars | 55–71 | 43.65% |
| Spunkle vs Paul | 62–60 | 50.82% |
| Spunkle vs Azucena | 58–52 | 52.73% |
| Spunkle vs Jun | 55–53 | 50.93% |
| Spunkle vs Xiaoyu | 62–36 | 63.27% |
| Spunkle vs Nina | 51–43 | 54.26% |
| Spunkle vs Victor | 46–46 | 50.00% |
| Spunkle vs Asuka | 49–39 | 55.68% |
| Spunkle vs Devil Jin | 34–53 | 39.08% |
| Spunkle vs Leo | 36–49 | 42.35% |
| Spunkle vs Leroy | 40–43 | 48.19% |
| Spunkle vs Feng | 41–40 | 50.62% |
| Spunkle vs Raven | 38–41 | 48.10% |
| Spunkle vs Fahkumram | 30–48 | 38.46% |
| Spunkle vs Alisa | 43–27 | 61.43% |
| Spunkle vs Lidia | 32–38 | 45.71% |
| Spunkle vs Jack-8 | 34–28 | 54.84% |
| Spunkle vs Shaheen | 26–35 | 42.62% |
| Spunkle vs Clive | 18–41 | 30.51% |
| Spunkle vs Anna | 17–37 | 31.48% |
| Spunkle vs Zafina | 21–24 | 46.67% |
| Spunkle vs Claudio | 14–18 | 43.75% |
| Spunkle vs Kuma | 11–20 | 35.48% |
| Spunkle vs Miary Zo | 11–20 | 35.48% |
| Spunkle vs Panda | 8–2 | 80.00% |
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.