| ModeloTime vs Hwoarang | 132–151 | 46.64% |
| ModeloTime vs Bryan | 128–137 | 48.30% |
| ModeloTime vs Kazuya | 135–109 | 55.33% |
| ModeloTime vs Jin | 118–116 | 50.43% |
| ModeloTime vs King | 140–86 | 61.95% |
| ModeloTime vs Law | 108–107 | 50.23% |
| ModeloTime vs Steve | 97–111 | 46.63% |
| ModeloTime vs Reina | 89–101 | 46.84% |
| ModeloTime vs Paul | 81–102 | 44.26% |
| ModeloTime vs Devil Jin | 92–86 | 51.69% |
| ModeloTime vs Lee | 81–97 | 45.51% |
| ModeloTime vs Lili | 75–100 | 42.86% |
| ModeloTime vs Heihachi | 76–86 | 46.91% |
| ModeloTime vs Armor King | 86–75 | 53.42% |
| ModeloTime vs Yoshimitsu | 83–74 | 52.87% |
| ModeloTime vs Lars | 77–62 | 55.40% |
| ModeloTime vs Xiaoyu | 73–64 | 53.28% |
| ModeloTime vs Dragunov | 62–74 | 45.59% |
| ModeloTime vs Jun | 56–74 | 43.08% |
| ModeloTime vs Azucena | 65–64 | 50.39% |
| ModeloTime vs Nina | 58–70 | 45.31% |
| ModeloTime vs Alisa | 54–53 | 50.47% |
| ModeloTime vs Asuka | 53–51 | 50.96% |
| ModeloTime vs Lidia | 54–47 | 53.47% |
| ModeloTime vs Jack-8 | 56–39 | 58.95% |
| ModeloTime vs Raven | 52–43 | 54.74% |
| ModeloTime vs Victor | 44–47 | 48.35% |
| ModeloTime vs Feng | 42–46 | 47.73% |
| ModeloTime vs Leo | 45–38 | 54.22% |
| ModeloTime vs Claudio | 40–40 | 50.00% |
| ModeloTime vs Clive | 43–35 | 55.13% |
| ModeloTime vs Leroy | 44–29 | 60.27% |
| ModeloTime vs Eddy | 25–44 | 36.23% |
| ModeloTime vs Kuma | 36–30 | 54.55% |
| ModeloTime vs Fahkumram | 24–39 | 38.10% |
| ModeloTime vs Anna | 30–28 | 51.72% |
| ModeloTime vs Zafina | 29–27 | 51.79% |
| ModeloTime vs Shaheen | 26–25 | 50.98% |
| ModeloTime vs Miary Zo | 26–18 | 59.09% |
| ModeloTime vs Panda | 9–13 | 40.91% |
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.