| Goondall vs Armor King | 51–55 | 48.11% |
| Goondall vs Jin | 43–38 | 53.09% |
| Goondall vs Kazuya | 37–41 | 47.44% |
| Goondall vs King | 43–22 | 66.15% |
| Goondall vs Steve | 32–29 | 52.46% |
| Goondall vs Law | 24–35 | 40.68% |
| Goondall vs Heihachi | 30–28 | 51.72% |
| Goondall vs Dragunov | 28–24–1 | 53.85% |
| Goondall vs Reina | 28–24 | 53.85% |
| Goondall vs Hwoarang | 28–22 | 56.00% |
| Goondall vs Fahkumram | 16–33 | 32.65% |
| Goondall vs Azucena | 30–14 | 68.18% |
| Goondall vs Jun | 20–21 | 48.78% |
| Goondall vs Bryan | 17–23 | 42.50% |
| Goondall vs Eddy | 16–20 | 44.44% |
| Goondall vs Lars | 12–19 | 38.71% |
| Goondall vs Lee | 12–19 | 38.71% |
| Goondall vs Leo | 18–12 | 60.00% |
| Goondall vs Paul | 18–10 | 64.29% |
| Goondall vs Anna | 15–13 | 53.57% |
| Goondall vs Yoshimitsu | 13–14 | 48.15% |
| Goondall vs Feng | 18–9 | 66.67% |
| Goondall vs Lili | 12–14 | 46.15% |
| Goondall vs Victor | 10–15 | 40.00% |
| Goondall vs Nina | 9–15 | 37.50% |
| Goondall vs Raven | 12–11 | 52.17% |
| Goondall vs Jack-8 | 16–5 | 76.19% |
| Goondall vs Xiaoyu | 10–8 | 55.56% |
| Goondall vs Clive | 9–9 | 50.00% |
| Goondall vs Asuka | 9–8 | 52.94% |
| Goondall vs Claudio | 7–8 | 46.67% |
| Goondall vs Alisa | 6–8 | 42.86% |
| Goondall vs Lidia | 5–7 | 41.67% |
| Goondall vs Panda | 4–7 | 36.36% |
| Goondall vs Leroy | 6–4 | 60.00% |
| Goondall vs Zafina | 6–3 | 66.67% |
| Goondall vs Devil Jin | 4–2 | 66.67% |
| Goondall vs Kuma | 3–2 | 60.00% |
| Goondall vs Shaheen | 0–3 | 0.00% |
| Goondall vs Miary Zo | 0–3 | 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.