| MattEagle vs Kazuya | 59–22 | 72.84% |
| MattEagle vs Jin | 48–23 | 67.61% |
| MattEagle vs King | 37–25 | 59.68% |
| MattEagle vs Bryan | 32–20 | 61.54% |
| MattEagle vs Hwoarang | 38–8 | 82.61% |
| MattEagle vs Law | 27–17 | 61.36% |
| MattEagle vs Yoshimitsu | 24–14 | 63.16% |
| MattEagle vs Dragunov | 25–11 | 69.44% |
| MattEagle vs Paul | 19–13 | 59.38% |
| MattEagle vs Reina | 17–14 | 54.84% |
| MattEagle vs Steve | 15–14 | 51.72% |
| MattEagle vs Lidia | 13–14 | 48.15% |
| MattEagle vs Asuka | 19–7 | 73.08% |
| MattEagle vs Lili | 18–8 | 69.23% |
| MattEagle vs Feng | 15–10 | 60.00% |
| MattEagle vs Jun | 16–9 | 64.00% |
| MattEagle vs Eddy | 15–10 | 60.00% |
| MattEagle vs Devil Jin | 18–6 | 75.00% |
| MattEagle vs Lee | 13–11 | 54.17% |
| MattEagle vs Alisa | 13–10 | 56.52% |
| MattEagle vs Azucena | 10–11 | 47.62% |
| MattEagle vs Lars | 11–8 | 57.89% |
| MattEagle vs Xiaoyu | 10–7 | 58.82% |
| MattEagle vs Leroy | 13–3 | 81.25% |
| MattEagle vs Nina | 7–8 | 46.67% |
| MattEagle vs Victor | 8–7 | 53.33% |
| MattEagle vs Raven | 7–6 | 53.85% |
| MattEagle vs Zafina | 6–4 | 60.00% |
| MattEagle vs Leo | 5–4 | 55.56% |
| MattEagle vs Claudio | 4–5 | 44.44% |
| MattEagle vs Jack-8 | 5–2 | 71.43% |
| MattEagle vs Shaheen | 4–2 | 66.67% |
| MattEagle vs Kuma | 1–5 | 16.67% |
| MattEagle vs Panda | 2–2 | 50.00% |
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.