| gottbuster vs Armor King | 40–72 | 35.71% |
| gottbuster vs Steve | 36–52 | 40.91% |
| gottbuster vs Jin | 21–37 | 36.21% |
| gottbuster vs King | 22–34 | 39.29% |
| gottbuster vs Kazuya | 22–32 | 40.74% |
| gottbuster vs Azucena | 24–27 | 47.06% |
| gottbuster vs Hwoarang | 20–25 | 44.44% |
| gottbuster vs Jun | 17–21 | 44.74% |
| gottbuster vs Lee | 20–17 | 54.05% |
| gottbuster vs Reina | 21–16 | 56.76% |
| gottbuster vs Miary Zo | 14–23 | 37.84% |
| gottbuster vs Yoshimitsu | 19–16 | 54.29% |
| gottbuster vs Dragunov | 10–21 | 32.26% |
| gottbuster vs Paul | 11–17 | 39.29% |
| gottbuster vs Clive | 12–15 | 44.44% |
| gottbuster vs Lili | 9–17 | 34.62% |
| gottbuster vs Fahkumram | 10–16 | 38.46% |
| gottbuster vs Bryan | 9–15 | 37.50% |
| gottbuster vs Lidia | 10–12 | 45.45% |
| gottbuster vs Lars | 9–12 | 42.86% |
| gottbuster vs Asuka | 10–10 | 50.00% |
| gottbuster vs Jack-8 | 1–16 | 5.88% |
| gottbuster vs Law | 6–10 | 37.50% |
| gottbuster vs Devil Jin | 7–7 | 50.00% |
| gottbuster vs Victor | 6–8 | 42.86% |
| gottbuster vs Alisa | 6–7 | 46.15% |
| gottbuster vs Xiaoyu | 5–7 | 41.67% |
| gottbuster vs Nina | 2–10 | 16.67% |
| gottbuster vs Eddy | 4–8 | 33.33% |
| gottbuster vs Leo | 4–7 | 36.36% |
| gottbuster vs Claudio | 4–7 | 36.36% |
| gottbuster vs Heihachi | 7–4 | 63.64% |
| gottbuster vs Kuma | 3–6 | 33.33% |
| gottbuster vs Leroy | 5–4 | 55.56% |
| gottbuster vs Anna | 3–5 | 37.50% |
| gottbuster vs Raven | 3–3 | 50.00% |
| gottbuster vs Feng | 2–3 | 40.00% |
| gottbuster vs Zafina | 4–0 | 100.00% |
| gottbuster vs Panda | 1–2 | 33.33% |
| gottbuster vs Shaheen | 0–2 | 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.