| Locs vs Reina | 88–82 | 51.76% |
| Locs vs King | 100–59 | 62.89% |
| Locs vs Kazuya | 80–66 | 54.79% |
| Locs vs Bryan | 77–54 | 58.78% |
| Locs vs Steve | 58–54 | 51.79% |
| Locs vs Dragunov | 48–55 | 46.60% |
| Locs vs Jin | 50–47 | 51.55% |
| Locs vs Xiaoyu | 38–50 | 43.18% |
| Locs vs Lili | 44–43 | 50.57% |
| Locs vs Hwoarang | 49–37 | 56.98% |
| Locs vs Law | 37–47 | 44.05% |
| Locs vs Azucena | 45–39 | 53.57% |
| Locs vs Paul | 37–46 | 44.58% |
| Locs vs Lars | 42–37 | 53.16% |
| Locs vs Jun | 43–33 | 56.58% |
| Locs vs Yoshimitsu | 37–33 | 52.86% |
| Locs vs Asuka | 31–29 | 51.67% |
| Locs vs Raven | 34–25 | 57.63% |
| Locs vs Devil Jin | 23–29 | 44.23% |
| Locs vs Feng | 22–29 | 43.14% |
| Locs vs Lee | 28–23 | 54.90% |
| Locs vs Nina | 22–25 | 46.81% |
| Locs vs Victor | 23–23 | 50.00% |
| Locs vs Eddy | 17–26 | 39.53% |
| Locs vs Kuma | 16–19 | 45.71% |
| Locs vs Heihachi | 16–16 | 50.00% |
| Locs vs Leroy | 13–16 | 44.83% |
| Locs vs Claudio | 14–11 | 56.00% |
| Locs vs Jack-8 | 10–12 | 45.45% |
| Locs vs Leo | 12–9 | 57.14% |
| Locs vs Zafina | 9–11 | 45.00% |
| Locs vs Alisa | 3–15 | 16.67% |
| Locs vs Lidia | 13–5 | 72.22% |
| Locs vs Panda | 7–9 | 43.75% |
| Locs vs Shaheen | 8–7 | 53.33% |
| Locs vs Fahkumram | 4–9 | 30.77% |
| Locs vs Anna | 7–5 | 58.33% |
| Locs vs Clive | 1–5 | 16.67% |
| Locs vs Armor King | 4–1 | 80.00% |
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.