| good_Loser vs Reina | 70–51 | 57.85% |
| good_Loser vs Kazuya | 73–44 | 62.39% |
| good_Loser vs Dragunov | 54–56 | 49.09% |
| good_Loser vs Paul | 33–50 | 39.76% |
| good_Loser vs Jin | 36–44 | 45.00% |
| good_Loser vs Hwoarang | 39–37 | 51.32% |
| good_Loser vs Bryan | 35–41 | 46.05% |
| good_Loser vs Asuka | 29–42 | 40.85% |
| good_Loser vs Lili | 33–34 | 49.25% |
| good_Loser vs King | 18–44 | 29.03% |
| good_Loser vs Jun | 25–35 | 41.67% |
| good_Loser vs Steve | 23–32 | 41.82% |
| good_Loser vs Yoshimitsu | 17–31 | 35.42% |
| good_Loser vs Alisa | 15–32 | 31.91% |
| good_Loser vs Law | 11–34 | 24.44% |
| good_Loser vs Devil Jin | 22–21 | 51.16% |
| good_Loser vs Victor | 18–25 | 41.86% |
| good_Loser vs Xiaoyu | 22–20 | 52.38% |
| good_Loser vs Jack-8 | 18–24 | 42.86% |
| good_Loser vs Nina | 20–21 | 48.78% |
| good_Loser vs Lars | 14–23 | 37.84% |
| good_Loser vs Leo | 13–19 | 40.62% |
| good_Loser vs Claudio | 10–21 | 32.26% |
| good_Loser vs Eddy | 5–26 | 16.13% |
| good_Loser vs Heihachi | 16–15 | 51.61% |
| good_Loser vs Azucena | 12–16 | 42.86% |
| good_Loser vs Feng | 6–15 | 28.57% |
| good_Loser vs Kuma | 11–8 | 57.89% |
| good_Loser vs Raven | 6–12 | 33.33% |
| good_Loser vs Lee | 4–13 | 23.53% |
| good_Loser vs Clive | 4–13 | 23.53% |
| good_Loser vs Leroy | 4–11 | 26.67% |
| good_Loser vs Zafina | 4–9 | 30.77% |
| good_Loser vs Lidia | 5–7 | 41.67% |
| good_Loser vs Shaheen | 4–6 | 40.00% |
| good_Loser vs Fahkumram | 2–3 | 40.00% |
| good_Loser vs Panda | 2–2 | 50.00% |
| good_Loser vs Anna | 4–0 | 100.00% |
| good_Loser vs Armor King | 2–0 | 100.00% |
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.