| MrFliss vs Bryan | 125–138 | 47.53% |
| MrFliss vs Kazuya | 134–106 | 55.83% |
| MrFliss vs King | 97–112 | 46.41% |
| MrFliss vs Hwoarang | 95–113 | 45.67% |
| MrFliss vs Jin | 109–86 | 55.90% |
| MrFliss vs Heihachi | 88–85 | 50.87% |
| MrFliss vs Reina | 91–81 | 52.91% |
| MrFliss vs Steve | 99–68 | 59.28% |
| MrFliss vs Lili | 94–56–1 | 62.67% |
| MrFliss vs Dragunov | 74–75 | 49.66% |
| MrFliss vs Yoshimitsu | 76–63 | 54.68% |
| MrFliss vs Lee | 65–72 | 47.45% |
| MrFliss vs Law | 73–59 | 55.30% |
| MrFliss vs Paul | 65–62 | 51.18% |
| MrFliss vs Asuka | 39–55 | 41.49% |
| MrFliss vs Lars | 38–56 | 40.43% |
| MrFliss vs Xiaoyu | 42–48 | 46.67% |
| MrFliss vs Devil Jin | 43–47 | 47.78% |
| MrFliss vs Azucena | 42–44 | 48.84% |
| MrFliss vs Jun | 37–46 | 44.58% |
| MrFliss vs Armor King | 40–41 | 49.38% |
| MrFliss vs Nina | 39–39 | 50.00% |
| MrFliss vs Feng | 30–47 | 38.96% |
| MrFliss vs Eddy | 34–41 | 45.33% |
| MrFliss vs Jack-8 | 35–38 | 47.95% |
| MrFliss vs Alisa | 39–34 | 53.42% |
| MrFliss vs Leo | 43–28 | 60.56% |
| MrFliss vs Leroy | 24–41 | 36.92% |
| MrFliss vs Claudio | 25–37 | 40.32% |
| MrFliss vs Victor | 34–26 | 56.67% |
| MrFliss vs Raven | 27–26 | 50.94% |
| MrFliss vs Fahkumram | 24–28 | 46.15% |
| MrFliss vs Kuma | 34–12 | 73.91% |
| MrFliss vs Lidia | 26–20 | 56.52% |
| MrFliss vs Clive | 21–25 | 45.65% |
| MrFliss vs Shaheen | 23–22 | 51.11% |
| MrFliss vs Anna | 17–19 | 47.22% |
| MrFliss vs Zafina | 14–15 | 48.28% |
| MrFliss vs Panda | 9–7 | 56.25% |
| MrFliss vs Miary Zo | 1–1 | 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.