| tomo vs King | 58–60 | 49.15% |
| tomo vs Bryan | 52–46 | 53.06% |
| tomo vs Reina | 51–40 | 56.04% |
| tomo vs Paul | 42–40 | 51.22% |
| tomo vs Lili | 51–29 | 63.75% |
| tomo vs Jin | 41–38 | 51.90% |
| tomo vs Law | 50–27 | 64.94% |
| tomo vs Dragunov | 36–41 | 46.75% |
| tomo vs Kazuya | 37–39 | 48.68% |
| tomo vs Heihachi | 40–32 | 55.56% |
| tomo vs Steve | 46–25 | 64.79% |
| tomo vs Asuka | 47–23 | 67.14% |
| tomo vs Hwoarang | 30–32 | 48.39% |
| tomo vs Xiaoyu | 35–25 | 58.33% |
| tomo vs Jun | 34–25 | 57.63% |
| tomo vs Clive | 32–24 | 57.14% |
| tomo vs Lidia | 27–26 | 50.94% |
| tomo vs Nina | 24–22 | 52.17% |
| tomo vs Alisa | 24–20 | 54.55% |
| tomo vs Claudio | 21–20 | 51.22% |
| tomo vs Feng | 21–19 | 52.50% |
| tomo vs Yoshimitsu | 19–20 | 48.72% |
| tomo vs Azucena | 22–14 | 61.11% |
| tomo vs Victor | 15–19 | 44.12% |
| tomo vs Eddy | 16–17 | 48.48% |
| tomo vs Armor King | 14–17 | 45.16% |
| tomo vs Jack-8 | 16–14 | 53.33% |
| tomo vs Devil Jin | 23–5 | 82.14% |
| tomo vs Lars | 9–18 | 33.33% |
| tomo vs Kuma | 10–16 | 38.46% |
| tomo vs Leo | 16–9 | 64.00% |
| tomo vs Leroy | 11–12 | 47.83% |
| tomo vs Fahkumram | 5–12 | 29.41% |
| tomo vs Shaheen | 6–8 | 42.86% |
| tomo vs Lee | 8–5 | 61.54% |
| tomo vs Zafina | 12–1 | 92.31% |
| tomo vs Raven | 1–11 | 8.33% |
| tomo vs Anna | 3–6 | 33.33% |
| tomo vs Panda | 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.