| OSNYC vs King | 39–8 | 82.98% |
| OSNYC vs Lidia | 14–22 | 38.89% |
| OSNYC vs Jin | 24–10 | 70.59% |
| OSNYC vs Hwoarang | 22–4 | 84.62% |
| OSNYC vs Bryan | 15–11 | 57.69% |
| OSNYC vs Kazuya | 18–3 | 85.71% |
| OSNYC vs Reina | 10–11 | 47.62% |
| OSNYC vs Eddy | 12–8 | 60.00% |
| OSNYC vs Azucena | 14–4 | 77.78% |
| OSNYC vs Heihachi | 11–4 | 73.33% |
| OSNYC vs Jun | 10–4 | 71.43% |
| OSNYC vs Steve | 13–0 | 100.00% |
| OSNYC vs Dragunov | 7–6 | 53.85% |
| OSNYC vs Yoshimitsu | 9–3 | 75.00% |
| OSNYC vs Law | 4–7 | 36.36% |
| OSNYC vs Lili | 6–5 | 54.55% |
| OSNYC vs Lars | 7–4 | 63.64% |
| OSNYC vs Victor | 8–2 | 80.00% |
| OSNYC vs Xiaoyu | 9–0 | 100.00% |
| OSNYC vs Asuka | 6–3 | 66.67% |
| OSNYC vs Devil Jin | 1–8 | 11.11% |
| OSNYC vs Leroy | 5–4 | 55.56% |
| OSNYC vs Leo | 8–0 | 100.00% |
| OSNYC vs Kuma | 3–5 | 37.50% |
| OSNYC vs Zafina | 6–2 | 75.00% |
| OSNYC vs Feng | 7–0 | 100.00% |
| OSNYC vs Lee | 6–1 | 85.71% |
| OSNYC vs Nina | 1–5 | 16.67% |
| OSNYC vs Alisa | 1–3 | 25.00% |
| OSNYC vs Panda | 0–4 | 0.00% |
| OSNYC vs Raven | 4–0 | 100.00% |
| OSNYC vs Fahkumram | 3–0 | 100.00% |
| OSNYC vs Armor King | 3–0 | 100.00% |
| OSNYC vs Paul | 0–2 | 0.00% |
| OSNYC vs Clive | 2–0 | 100.00% |
| OSNYC vs Anna | 2–0 | 100.00% |
| OSNYC vs Miary Zo | 2–0 | 100.00% |
| OSNYC vs Jack-8 | 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.