| MjolnirFlynn vs Kazuya | 22–6 | 78.57% |
| MjolnirFlynn vs King | 21–4 | 84.00% |
| MjolnirFlynn vs Steve | 22–3 | 88.00% |
| MjolnirFlynn vs Hwoarang | 20–4 | 83.33% |
| MjolnirFlynn vs Jin | 15–7 | 68.18% |
| MjolnirFlynn vs Clive | 17–5 | 77.27% |
| MjolnirFlynn vs Reina | 13–4 | 76.47% |
| MjolnirFlynn vs Heihachi | 13–4 | 76.47% |
| MjolnirFlynn vs Law | 15–1 | 93.75% |
| MjolnirFlynn vs Yoshimitsu | 13–2 | 86.67% |
| MjolnirFlynn vs Paul | 10–4 | 71.43% |
| MjolnirFlynn vs Lili | 13–1 | 92.86% |
| MjolnirFlynn vs Asuka | 9–3 | 75.00% |
| MjolnirFlynn vs Claudio | 6–6 | 50.00% |
| MjolnirFlynn vs Anna | 8–4 | 66.67% |
| MjolnirFlynn vs Bryan | 5–5 | 50.00% |
| MjolnirFlynn vs Devil Jin | 6–3 | 66.67% |
| MjolnirFlynn vs Nina | 8–1 | 88.89% |
| MjolnirFlynn vs Jun | 6–3 | 66.67% |
| MjolnirFlynn vs Azucena | 6–3 | 66.67% |
| MjolnirFlynn vs Victor | 7–2 | 77.78% |
| MjolnirFlynn vs Eddy | 5–4 | 55.56% |
| MjolnirFlynn vs Dragunov | 7–1 | 87.50% |
| MjolnirFlynn vs Feng | 6–1 | 85.71% |
| MjolnirFlynn vs Alisa | 5–2 | 71.43% |
| MjolnirFlynn vs Lee | 5–2 | 71.43% |
| MjolnirFlynn vs Xiaoyu | 5–1 | 83.33% |
| MjolnirFlynn vs Lars | 1–3 | 25.00% |
| MjolnirFlynn vs Shaheen | 3–1 | 75.00% |
| MjolnirFlynn vs Fahkumram | 4–0 | 100.00% |
| MjolnirFlynn vs Kuma | 3–0 | 100.00% |
| MjolnirFlynn vs Jack-8 | 1–1 | 50.00% |
| MjolnirFlynn vs Leo | 2–0 | 100.00% |
| MjolnirFlynn vs Panda | 0–2 | 0.00% |
| MjolnirFlynn vs Miary Zo | 2–0 | 100.00% |
| MjolnirFlynn vs Zafina | 1–0 | 100.00% |
| MjolnirFlynn vs Armor King | 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.