| Octmeal vs Jin | 74–101 | 42.29% |
| Octmeal vs King | 75–85 | 46.88% |
| Octmeal vs Fahkumram | 81–63 | 56.25% |
| Octmeal vs Kazuya | 61–82 | 42.66% |
| Octmeal vs Steve | 71–53 | 57.26% |
| Octmeal vs Heihachi | 63–57 | 52.50% |
| Octmeal vs Reina | 57–59 | 49.14% |
| Octmeal vs Law | 47–56 | 45.63% |
| Octmeal vs Bryan | 37–64 | 36.63% |
| Octmeal vs Lee | 58–42 | 58.00% |
| Octmeal vs Armor King | 41–52 | 44.09% |
| Octmeal vs Azucena | 43–47 | 47.78% |
| Octmeal vs Paul | 41–47 | 46.59% |
| Octmeal vs Dragunov | 38–50 | 43.18% |
| Octmeal vs Hwoarang | 37–49 | 43.02% |
| Octmeal vs Eddy | 37–35 | 51.39% |
| Octmeal vs Lili | 25–38 | 39.68% |
| Octmeal vs Anna | 27–33 | 45.00% |
| Octmeal vs Yoshimitsu | 22–37 | 37.29% |
| Octmeal vs Feng | 17–33 | 34.00% |
| Octmeal vs Clive | 28–22 | 56.00% |
| Octmeal vs Jun | 19–30 | 38.78% |
| Octmeal vs Lars | 17–31 | 35.42% |
| Octmeal vs Asuka | 15–31 | 32.61% |
| Octmeal vs Nina | 17–29 | 36.96% |
| Octmeal vs Victor | 27–18 | 60.00% |
| Octmeal vs Xiaoyu | 18–23 | 43.90% |
| Octmeal vs Leroy | 16–24 | 40.00% |
| Octmeal vs Lidia | 21–18 | 53.85% |
| Octmeal vs Leo | 18–20 | 47.37% |
| Octmeal vs Jack-8 | 19–18 | 51.35% |
| Octmeal vs Devil Jin | 19–18 | 51.35% |
| Octmeal vs Raven | 10–21 | 32.26% |
| Octmeal vs Claudio | 10–19 | 34.48% |
| Octmeal vs Alisa | 8–12 | 40.00% |
| Octmeal vs Miary Zo | 7–11 | 38.89% |
| Octmeal vs Shaheen | 9–8 | 52.94% |
| Octmeal vs Zafina | 7–10 | 41.18% |
| Octmeal vs Kuma | 3–2 | 60.00% |
| Octmeal vs Panda | 1–2 | 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.