| Goondall vs Armor King | 51–53 | 49.04% |
| Goondall vs Jin | 41–35 | 53.95% |
| Goondall vs Kazuya | 35–34 | 50.72% |
| Goondall vs King | 43–22 | 66.15% |
| Goondall vs Law | 24–33 | 42.11% |
| Goondall vs Heihachi | 28–28 | 50.00% |
| Goondall vs Steve | 29–24 | 54.72% |
| Goondall vs Dragunov | 26–24–1 | 52.00% |
| Goondall vs Hwoarang | 28–22 | 56.00% |
| Goondall vs Reina | 26–24 | 52.00% |
| Goondall vs Fahkumram | 16–31 | 34.04% |
| Goondall vs Jun | 20–21 | 48.78% |
| Goondall vs Bryan | 17–21 | 44.74% |
| Goondall vs Azucena | 25–11 | 69.44% |
| Goondall vs Eddy | 13–19 | 40.62% |
| Goondall vs Lee | 12–17 | 41.38% |
| Goondall vs Leo | 17–11 | 60.71% |
| Goondall vs Lars | 11–17 | 39.29% |
| Goondall vs Anna | 15–13 | 53.57% |
| Goondall vs Lili | 12–14 | 46.15% |
| Goondall vs Nina | 9–15 | 37.50% |
| Goondall vs Victor | 9–15 | 37.50% |
| Goondall vs Yoshimitsu | 11–12 | 47.83% |
| Goondall vs Feng | 14–9 | 60.87% |
| Goondall vs Raven | 12–11 | 52.17% |
| Goondall vs Paul | 15–7 | 68.18% |
| Goondall vs Jack-8 | 14–5 | 73.68% |
| Goondall vs Xiaoyu | 10–6 | 62.50% |
| Goondall vs Asuka | 8–8 | 50.00% |
| Goondall vs Alisa | 6–8 | 42.86% |
| Goondall vs Claudio | 7–6 | 53.85% |
| Goondall vs Clive | 6–7 | 46.15% |
| Goondall vs Lidia | 5–5 | 50.00% |
| Goondall vs Panda | 2–6 | 25.00% |
| Goondall vs Zafina | 4–3 | 57.14% |
| Goondall vs Leroy | 5–2 | 71.43% |
| Goondall vs Devil Jin | 4–2 | 66.67% |
| Goondall vs Kuma | 2–2 | 50.00% |
| Goondall vs Miary Zo | 0–3 | 0.00% |
| Goondall vs Shaheen | 0–1 | 0.00% |
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.