| OVOBIGBLACK vs King | 24–12 | 66.67% |
| OVOBIGBLACK vs Reina | 15–12 | 55.56% |
| OVOBIGBLACK vs Kazuya | 14–10 | 58.33% |
| OVOBIGBLACK vs Jin | 13–8 | 61.90% |
| OVOBIGBLACK vs Eddy | 11–8 | 57.89% |
| OVOBIGBLACK vs Azucena | 10–7 | 58.82% |
| OVOBIGBLACK vs Law | 4–10 | 28.57% |
| OVOBIGBLACK vs Hwoarang | 13–1 | 92.86% |
| OVOBIGBLACK vs Lili | 10–3 | 76.92% |
| OVOBIGBLACK vs Yoshimitsu | 5–7 | 41.67% |
| OVOBIGBLACK vs Xiaoyu | 5–7 | 41.67% |
| OVOBIGBLACK vs Bryan | 8–3 | 72.73% |
| OVOBIGBLACK vs Steve | 7–4 | 63.64% |
| OVOBIGBLACK vs Jack-8 | 6–5 | 54.55% |
| OVOBIGBLACK vs Leroy | 5–5 | 50.00% |
| OVOBIGBLACK vs Lidia | 4–6 | 40.00% |
| OVOBIGBLACK vs Nina | 4–5 | 44.44% |
| OVOBIGBLACK vs Lars | 4–4 | 50.00% |
| OVOBIGBLACK vs Alisa | 5–3 | 62.50% |
| OVOBIGBLACK vs Lee | 7–1 | 87.50% |
| OVOBIGBLACK vs Fahkumram | 6–2 | 75.00% |
| OVOBIGBLACK vs Paul | 6–1 | 85.71% |
| OVOBIGBLACK vs Jun | 4–3 | 57.14% |
| OVOBIGBLACK vs Devil Jin | 5–1 | 83.33% |
| OVOBIGBLACK vs Claudio | 4–2 | 66.67% |
| OVOBIGBLACK vs Heihachi | 3–3 | 50.00% |
| OVOBIGBLACK vs Anna | 3–3 | 50.00% |
| OVOBIGBLACK vs Feng | 3–2 | 60.00% |
| OVOBIGBLACK vs Dragunov | 3–2 | 60.00% |
| OVOBIGBLACK vs Victor | 2–2 | 50.00% |
| OVOBIGBLACK vs Kuma | 2–1 | 66.67% |
| OVOBIGBLACK vs Clive | 1–2 | 33.33% |
| OVOBIGBLACK vs Miary Zo | 2–1 | 66.67% |
| OVOBIGBLACK vs Asuka | 0–2 | 0.00% |
| OVOBIGBLACK vs Shaheen | 2–0 | 100.00% |
| OVOBIGBLACK vs Raven | 2–0 | 100.00% |
| OVOBIGBLACK vs Leo | 1–0 | 100.00% |
| OVOBIGBLACK vs Armor King | 0–1 | 0.00% |
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.