| Walmart vs Kazuya | 17–10 | 62.96% |
| Walmart vs Dragunov | 19–5 | 79.17% |
| Walmart vs King | 17–2 | 89.47% |
| Walmart vs Armor King | 11–7 | 61.11% |
| Walmart vs Miary Zo | 10–7 | 58.82% |
| Walmart vs Hwoarang | 15–1 | 93.75% |
| Walmart vs Reina | 14–2 | 87.50% |
| Walmart vs Lili | 10–3 | 76.92% |
| Walmart vs Law | 10–2 | 83.33% |
| Walmart vs Jin | 10–2 | 83.33% |
| Walmart vs Eddy | 11–1 | 91.67% |
| Walmart vs Bryan | 8–3 | 72.73% |
| Walmart vs Lars | 7–4 | 63.64% |
| Walmart vs Azucena | 10–1 | 90.91% |
| Walmart vs Steve | 8–2 | 80.00% |
| Walmart vs Asuka | 9–1 | 90.00% |
| Walmart vs Victor | 9–1 | 90.00% |
| Walmart vs Devil Jin | 8–1 | 88.89% |
| Walmart vs Lee | 8–1 | 88.89% |
| Walmart vs Leroy | 6–2 | 75.00% |
| Walmart vs Jun | 6–2 | 75.00% |
| Walmart vs Feng | 4–3 | 57.14% |
| Walmart vs Nina | 7–0 | 100.00% |
| Walmart vs Heihachi | 3–4 | 42.86% |
| Walmart vs Yoshimitsu | 5–1 | 83.33% |
| Walmart vs Xiaoyu | 3–2 | 60.00% |
| Walmart vs Kuma | 4–1 | 80.00% |
| Walmart vs Clive | 5–0 | 100.00% |
| Walmart vs Fahkumram | 4–0 | 100.00% |
| Walmart vs Paul | 2–1 | 66.67% |
| Walmart vs Leo | 3–0 | 100.00% |
| Walmart vs Alisa | 2–1 | 66.67% |
| Walmart vs Claudio | 3–0 | 100.00% |
| Walmart vs Lidia | 3–0 | 100.00% |
| Walmart vs Zafina | 0–2 | 0.00% |
| Walmart vs Raven | 1–0 | 100.00% |
| Walmart vs Anna | 1–0 | 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.