| Tram vs Kazuya | 118–50 | 70.24% |
| Tram vs Hwoarang | 89–45 | 66.42% |
| Tram vs Jin | 79–51 | 60.77% |
| Tram vs Bryan | 64–64 | 50.00% |
| Tram vs King | 69–53 | 56.56% |
| Tram vs Steve | 66–46 | 58.93% |
| Tram vs Dragunov | 70–36 | 66.04% |
| Tram vs Reina | 59–45 | 56.73% |
| Tram vs Eddy | 50–45 | 52.63% |
| Tram vs Yoshimitsu | 63–28 | 69.23% |
| Tram vs Lili | 59–23 | 71.95% |
| Tram vs Law | 38–41 | 48.10% |
| Tram vs Lars | 50–28 | 64.10% |
| Tram vs Paul | 54–23 | 70.13% |
| Tram vs Lee | 41–26 | 61.19% |
| Tram vs Azucena | 34–33 | 50.75% |
| Tram vs Lidia | 31–36 | 46.27% |
| Tram vs Raven | 37–24 | 60.66% |
| Tram vs Feng | 35–25 | 58.33% |
| Tram vs Jun | 29–29 | 50.00% |
| Tram vs Asuka | 30–24 | 55.56% |
| Tram vs Devil Jin | 32–18 | 64.00% |
| Tram vs Nina | 25–23 | 52.08% |
| Tram vs Xiaoyu | 27–18 | 60.00% |
| Tram vs Jack-8 | 20–21 | 48.78% |
| Tram vs Victor | 25–15 | 62.50% |
| Tram vs Leroy | 24–13 | 64.86% |
| Tram vs Heihachi | 22–15 | 59.46% |
| Tram vs Leo | 24–12 | 66.67% |
| Tram vs Claudio | 18–18 | 50.00% |
| Tram vs Shaheen | 24–9 | 72.73% |
| Tram vs Alisa | 23–9 | 71.88% |
| Tram vs Kuma | 19–11 | 63.33% |
| Tram vs Zafina | 10–7 | 58.82% |
| Tram vs Fahkumram | 6–9 | 40.00% |
| Tram vs Panda | 9–4 | 69.23% |
| Tram vs Anna | 7–3 | 70.00% |
| Tram vs Armor King | 4–6 | 40.00% |
| Tram vs Clive | 5–2 | 71.43% |
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.