| tolomanco vs King | 100–164 | 37.88% |
| tolomanco vs Jin | 67–168 | 28.51% |
| tolomanco vs Kazuya | 95–128 | 42.60% |
| tolomanco vs Reina | 108–111 | 49.32% |
| tolomanco vs Bryan | 63–106 | 37.28% |
| tolomanco vs Steve | 59–104 | 36.20% |
| tolomanco vs Dragunov | 45–94 | 32.37% |
| tolomanco vs Heihachi | 48–82 | 36.92% |
| tolomanco vs Lili | 34–87 | 28.10% |
| tolomanco vs Hwoarang | 32–85 | 27.35% |
| tolomanco vs Law | 27–83 | 24.55% |
| tolomanco vs Asuka | 36–73 | 33.03% |
| tolomanco vs Eddy | 23–85 | 21.30% |
| tolomanco vs Jun | 30–77 | 28.04% |
| tolomanco vs Azucena | 38–67 | 36.19% |
| tolomanco vs Nina | 30–62 | 32.61% |
| tolomanco vs Lars | 28–62 | 31.11% |
| tolomanco vs Yoshimitsu | 32–49 | 39.51% |
| tolomanco vs Paul | 28–52 | 35.00% |
| tolomanco vs Lee | 21–58 | 26.58% |
| tolomanco vs Clive | 22–56 | 28.21% |
| tolomanco vs Victor | 18–56 | 24.32% |
| tolomanco vs Devil Jin | 22–51 | 30.14% |
| tolomanco vs Anna | 27–45 | 37.50% |
| tolomanco vs Leo | 25–44 | 36.23% |
| tolomanco vs Leroy | 20–46 | 30.30% |
| tolomanco vs Fahkumram | 24–39 | 38.10% |
| tolomanco vs Lidia | 23–31 | 42.59% |
| tolomanco vs Xiaoyu | 16–35 | 31.37% |
| tolomanco vs Alisa | 19–29 | 39.58% |
| tolomanco vs Jack-8 | 18–29 | 38.30% |
| tolomanco vs Feng | 16–26 | 38.10% |
| tolomanco vs Claudio | 15–24 | 38.46% |
| tolomanco vs Shaheen | 13–22 | 37.14% |
| tolomanco vs Raven | 7–28 | 20.00% |
| tolomanco vs Zafina | 12–14 | 46.15% |
| tolomanco vs Kuma | 3–16 | 15.79% |
| tolomanco vs Panda | 2–12 | 14.29% |
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.