| OBN || Humble vs King | 38–43 | 46.91% |
| OBN || Humble vs Kazuya | 36–45 | 44.44% |
| OBN || Humble vs Reina | 38–40 | 48.72% |
| OBN || Humble vs Steve | 34–41–1 | 45.33% |
| OBN || Humble vs Bryan | 28–41 | 40.58% |
| OBN || Humble vs Dragunov | 37–29 | 56.06% |
| OBN || Humble vs Jin | 25–37 | 40.32% |
| OBN || Humble vs Lili | 31–31 | 50.00% |
| OBN || Humble vs Law | 23–37 | 38.33% |
| OBN || Humble vs Heihachi | 21–34 | 38.18% |
| OBN || Humble vs Azucena | 29–18 | 61.70% |
| OBN || Humble vs Hwoarang | 18–28 | 39.13% |
| OBN || Humble vs Eddy | 17–26 | 39.53% |
| OBN || Humble vs Lee | 15–27 | 35.71% |
| OBN || Humble vs Clive | 27–15 | 64.29% |
| OBN || Humble vs Fahkumram | 29–13 | 69.05% |
| OBN || Humble vs Lars | 21–20 | 51.22% |
| OBN || Humble vs Jun | 14–26 | 35.00% |
| OBN || Humble vs Asuka | 16–22 | 42.11% |
| OBN || Humble vs Yoshimitsu | 18–16 | 52.94% |
| OBN || Humble vs Leroy | 18–15 | 54.55% |
| OBN || Humble vs Alisa | 16–13 | 55.17% |
| OBN || Humble vs Victor | 11–18 | 37.93% |
| OBN || Humble vs Paul | 7–15 | 31.82% |
| OBN || Humble vs Raven | 8–13 | 38.10% |
| OBN || Humble vs Jack-8 | 10–10 | 50.00% |
| OBN || Humble vs Nina | 11–7 | 61.11% |
| OBN || Humble vs Lidia | 10–8 | 55.56% |
| OBN || Humble vs Xiaoyu | 5–12 | 29.41% |
| OBN || Humble vs Anna | 7–8 | 46.67% |
| OBN || Humble vs Devil Jin | 5–9 | 35.71% |
| OBN || Humble vs Kuma | 8–3 | 72.73% |
| OBN || Humble vs Zafina | 5–6 | 45.45% |
| OBN || Humble vs Leo | 4–3 | 57.14% |
| OBN || Humble vs Claudio | 4–3 | 57.14% |
| OBN || Humble vs Feng | 2–3 | 40.00% |
| OBN || Humble vs Shaheen | 1–3 | 25.00% |
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.