| WeltonMaCo vs Jin | 91–87 | 51.12% |
| WeltonMaCo vs King | 53–77 | 40.77% |
| WeltonMaCo vs Kazuya | 59–71 | 45.38% |
| WeltonMaCo vs Steve | 48–63 | 43.24% |
| WeltonMaCo vs Eddy | 48–50 | 48.98% |
| WeltonMaCo vs Armor King | 35–56 | 38.46% |
| WeltonMaCo vs Law | 34–51 | 40.00% |
| WeltonMaCo vs Reina | 43–40 | 51.81% |
| WeltonMaCo vs Lili | 33–46 | 41.77% |
| WeltonMaCo vs Dragunov | 33–45 | 42.31% |
| WeltonMaCo vs Bryan | 32–41 | 43.84% |
| WeltonMaCo vs Heihachi | 29–38 | 43.28% |
| WeltonMaCo vs Hwoarang | 27–31 | 46.55% |
| WeltonMaCo vs Asuka | 26–28 | 48.15% |
| WeltonMaCo vs Fahkumram | 23–25 | 47.92% |
| WeltonMaCo vs Lars | 22–25 | 46.81% |
| WeltonMaCo vs Yoshimitsu | 19–26 | 42.22% |
| WeltonMaCo vs Miary Zo | 20–25 | 44.44% |
| WeltonMaCo vs Devil Jin | 17–24 | 41.46% |
| WeltonMaCo vs Feng | 14–24 | 36.84% |
| WeltonMaCo vs Jun | 12–22–1 | 35.29% |
| WeltonMaCo vs Nina | 15–16 | 48.39% |
| WeltonMaCo vs Lidia | 11–20 | 35.48% |
| WeltonMaCo vs Lee | 15–14 | 51.72% |
| WeltonMaCo vs Xiaoyu | 12–14 | 46.15% |
| WeltonMaCo vs Clive | 14–12 | 53.85% |
| WeltonMaCo vs Victor | 13–12 | 52.00% |
| WeltonMaCo vs Azucena | 11–12 | 47.83% |
| WeltonMaCo vs Paul | 7–14 | 33.33% |
| WeltonMaCo vs Leo | 12–8 | 60.00% |
| WeltonMaCo vs Claudio | 12–8 | 60.00% |
| WeltonMaCo vs Alisa | 6–11 | 35.29% |
| WeltonMaCo vs Anna | 8–7 | 53.33% |
| WeltonMaCo vs Jack-8 | 7–6 | 53.85% |
| WeltonMaCo vs Panda | 5–8 | 38.46% |
| WeltonMaCo vs Zafina | 5–8 | 38.46% |
| WeltonMaCo vs Leroy | 3–8 | 27.27% |
| WeltonMaCo vs Shaheen | 7–3 | 70.00% |
| WeltonMaCo vs Raven | 6–3 | 66.67% |
| WeltonMaCo vs Kuma | 2–0 | 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.