| GoodBear70 vs Miary Zo | 6–3 | 66.67% |
| GoodBear70 vs King | 2–4 | 33.33% |
| GoodBear70 vs Hwoarang | 2–3 | 40.00% |
| GoodBear70 vs Jun | 4–1 | 80.00% |
| GoodBear70 vs Steve | 4–0 | 100.00% |
| GoodBear70 vs Lars | 2–2 | 50.00% |
| GoodBear70 vs Nina | 0–4 | 0.00% |
| GoodBear70 vs Xiaoyu | 1–2 | 33.33% |
| GoodBear70 vs Asuka | 2–1 | 66.67% |
| GoodBear70 vs Leo | 1–2 | 33.33% |
| GoodBear70 vs Leroy | 2–1 | 66.67% |
| GoodBear70 vs Bryan | 0–2 | 0.00% |
| GoodBear70 vs Feng | 0–2 | 0.00% |
| GoodBear70 vs Panda | 0–2 | 0.00% |
| GoodBear70 vs Clive | 0–2 | 0.00% |
| GoodBear70 vs Claudio | 1–0 | 100.00% |
| GoodBear70 vs Heihachi | 1–0 | 100.00% |
| GoodBear70 vs Armor King | 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.