| skellybumba vs Hwoarang | 80–79 | 50.31% |
| skellybumba vs Dragunov | 69–88 | 43.95% |
| skellybumba vs Jin | 78–70 | 52.70% |
| skellybumba vs King | 62–84 | 42.47% |
| skellybumba vs Kazuya | 66–69 | 48.89% |
| skellybumba vs Bryan | 68–56 | 54.84% |
| skellybumba vs Reina | 67–48 | 58.26% |
| skellybumba vs Law | 60–43 | 58.25% |
| skellybumba vs Paul | 42–56 | 42.86% |
| skellybumba vs Yoshimitsu | 39–55 | 41.49% |
| skellybumba vs Victor | 49–31 | 61.25% |
| skellybumba vs Lars | 30–46 | 39.47% |
| skellybumba vs Steve | 37–38 | 49.33% |
| skellybumba vs Lili | 34–40 | 45.95% |
| skellybumba vs Azucena | 41–31 | 56.94% |
| skellybumba vs Eddy | 24–43 | 35.82% |
| skellybumba vs Devil Jin | 36–25 | 59.02% |
| skellybumba vs Asuka | 30–28 | 51.72% |
| skellybumba vs Leroy | 29–28 | 50.88% |
| skellybumba vs Jun | 28–29 | 49.12% |
| skellybumba vs Feng | 24–30 | 44.44% |
| skellybumba vs Alisa | 21–33 | 38.89% |
| skellybumba vs Jack-8 | 15–38 | 28.30% |
| skellybumba vs Lee | 26–24 | 52.00% |
| skellybumba vs Leo | 20–29 | 40.82% |
| skellybumba vs Heihachi | 33–16 | 67.35% |
| skellybumba vs Claudio | 20–23 | 46.51% |
| skellybumba vs Nina | 17–24 | 41.46% |
| skellybumba vs Xiaoyu | 21–16 | 56.76% |
| skellybumba vs Shaheen | 12–21 | 36.36% |
| skellybumba vs Kuma | 14–17 | 45.16% |
| skellybumba vs Zafina | 7–10 | 41.18% |
| skellybumba vs Raven | 5–11 | 31.25% |
| skellybumba vs Panda | 9–5 | 64.29% |
| skellybumba vs Lidia | 9–4 | 69.23% |
| skellybumba vs Anna | 1–2 | 33.33% |
| skellybumba vs Fahkumram | 2–1 | 66.67% |
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.