| Mvpkobe vs Kazuya | 164–121 | 57.54% |
| Mvpkobe vs Jin | 145–121 | 54.51% |
| Mvpkobe vs Bryan | 125–121 | 50.81% |
| Mvpkobe vs King | 105–131 | 44.49% |
| Mvpkobe vs Reina | 114–104 | 52.29% |
| Mvpkobe vs Steve | 106–108 | 49.53% |
| Mvpkobe vs Hwoarang | 88–120 | 42.31% |
| Mvpkobe vs Law | 80–96 | 45.45% |
| Mvpkobe vs Lars | 84–75 | 52.83% |
| Mvpkobe vs Lee | 101–58 | 63.52% |
| Mvpkobe vs Yoshimitsu | 74–77 | 49.01% |
| Mvpkobe vs Heihachi | 74–72 | 50.68% |
| Mvpkobe vs Lili | 55–78 | 41.35% |
| Mvpkobe vs Nina | 65–61 | 51.59% |
| Mvpkobe vs Eddy | 64–61 | 51.20% |
| Mvpkobe vs Dragunov | 60–62 | 49.18% |
| Mvpkobe vs Paul | 53–66 | 44.54% |
| Mvpkobe vs Feng | 60–57 | 51.28% |
| Mvpkobe vs Victor | 70–47 | 59.83% |
| Mvpkobe vs Azucena | 66–50 | 56.90% |
| Mvpkobe vs Jun | 48–64 | 42.86% |
| Mvpkobe vs Raven | 64–46 | 58.18% |
| Mvpkobe vs Leo | 54–47 | 53.47% |
| Mvpkobe vs Lidia | 50–51 | 49.50% |
| Mvpkobe vs Xiaoyu | 63–36 | 63.64% |
| Mvpkobe vs Asuka | 42–51 | 45.16% |
| Mvpkobe vs Leroy | 38–47 | 44.71% |
| Mvpkobe vs Alisa | 31–50 | 38.27% |
| Mvpkobe vs Jack-8 | 41–39 | 51.25% |
| Mvpkobe vs Devil Jin | 41–36 | 53.25% |
| Mvpkobe vs Clive | 26–26 | 50.00% |
| Mvpkobe vs Zafina | 25–25 | 50.00% |
| Mvpkobe vs Fahkumram | 28–21 | 57.14% |
| Mvpkobe vs Shaheen | 22–24 | 47.83% |
| Mvpkobe vs Kuma | 18–26 | 40.91% |
| Mvpkobe vs Claudio | 16–23 | 41.03% |
| Mvpkobe vs Anna | 17–14 | 54.84% |
| Mvpkobe vs Armor King | 11–20 | 35.48% |
| Mvpkobe vs Panda | 7–9 | 43.75% |
| Mvpkobe vs Miary Zo | 3–0 | 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.