| Wantonlon vs Kazuya | 98–152 | 39.20% |
| Wantonlon vs King | 124–115 | 51.88% |
| Wantonlon vs Reina | 94–118 | 44.34% |
| Wantonlon vs Heihachi | 100–102 | 49.50% |
| Wantonlon vs Law | 93–100 | 48.19% |
| Wantonlon vs Bryan | 101–88 | 53.44% |
| Wantonlon vs Jin | 81–91 | 47.09% |
| Wantonlon vs Clive | 63–100 | 38.65% |
| Wantonlon vs Steve | 68–93 | 42.24% |
| Wantonlon vs Dragunov | 59–82 | 41.84% |
| Wantonlon vs Lili | 54–69 | 43.90% |
| Wantonlon vs Hwoarang | 67–54–1 | 55.37% |
| Wantonlon vs Armor King | 54–61 | 46.96% |
| Wantonlon vs Jun | 53–57 | 48.18% |
| Wantonlon vs Lee | 40–59 | 40.40% |
| Wantonlon vs Azucena | 42–55 | 43.30% |
| Wantonlon vs Lars | 45–47 | 48.91% |
| Wantonlon vs Xiaoyu | 50–41 | 54.95% |
| Wantonlon vs Lidia | 41–49 | 45.56% |
| Wantonlon vs Asuka | 43–46 | 48.31% |
| Wantonlon vs Fahkumram | 37–52 | 41.57% |
| Wantonlon vs Yoshimitsu | 29–59 | 32.95% |
| Wantonlon vs Victor | 37–51 | 42.05% |
| Wantonlon vs Eddy | 35–51 | 40.70% |
| Wantonlon vs Nina | 36–46 | 43.90% |
| Wantonlon vs Paul | 37–39 | 48.68% |
| Wantonlon vs Devil Jin | 25–40 | 38.46% |
| Wantonlon vs Leo | 31–26 | 54.39% |
| Wantonlon vs Jack-8 | 22–33 | 40.00% |
| Wantonlon vs Feng | 19–34 | 35.85% |
| Wantonlon vs Raven | 27–23 | 54.00% |
| Wantonlon vs Anna | 23–25 | 47.92% |
| Wantonlon vs Alisa | 22–22 | 50.00% |
| Wantonlon vs Zafina | 19–24 | 44.19% |
| Wantonlon vs Claudio | 14–27 | 34.15% |
| Wantonlon vs Miary Zo | 14–26 | 35.00% |
| Wantonlon vs Leroy | 15–21 | 41.67% |
| Wantonlon vs Shaheen | 19–14 | 57.58% |
| Wantonlon vs Kuma | 9–23 | 28.12% |
| Wantonlon vs Panda | 5–10 | 33.33% |
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.