| OLDTEAMR EUS29 vs King | 87–88 | 49.71% |
| OLDTEAMR EUS29 vs Jin | 75–88 | 46.01% |
| OLDTEAMR EUS29 vs Law | 76–79 | 49.03% |
| OLDTEAMR EUS29 vs Kazuya | 64–67 | 48.85% |
| OLDTEAMR EUS29 vs Bryan | 43–57 | 43.00% |
| OLDTEAMR EUS29 vs Dragunov | 35–57 | 38.04% |
| OLDTEAMR EUS29 vs Hwoarang | 34–49 | 40.96% |
| OLDTEAMR EUS29 vs Heihachi | 34–47 | 41.98% |
| OLDTEAMR EUS29 vs Eddy | 27–42 | 39.13% |
| OLDTEAMR EUS29 vs Fahkumram | 32–35 | 47.76% |
| OLDTEAMR EUS29 vs Armor King | 24–39 | 38.10% |
| OLDTEAMR EUS29 vs Steve | 35–27 | 56.45% |
| OLDTEAMR EUS29 vs Azucena | 29–32 | 47.54% |
| OLDTEAMR EUS29 vs Asuka | 27–33 | 45.00% |
| OLDTEAMR EUS29 vs Reina | 23–37 | 38.33% |
| OLDTEAMR EUS29 vs Paul | 27–26 | 50.94% |
| OLDTEAMR EUS29 vs Lili | 26–27 | 49.06% |
| OLDTEAMR EUS29 vs Devil Jin | 30–21 | 58.82% |
| OLDTEAMR EUS29 vs Alisa | 20–31 | 39.22% |
| OLDTEAMR EUS29 vs Yoshimitsu | 30–20 | 60.00% |
| OLDTEAMR EUS29 vs Nina | 24–26 | 48.00% |
| OLDTEAMR EUS29 vs Jun | 14–32 | 30.43% |
| OLDTEAMR EUS29 vs Miary Zo | 22–23 | 48.89% |
| OLDTEAMR EUS29 vs Lee | 22–20 | 52.38% |
| OLDTEAMR EUS29 vs Lidia | 17–22 | 43.59% |
| OLDTEAMR EUS29 vs Feng | 14–21 | 40.00% |
| OLDTEAMR EUS29 vs Lars | 11–22 | 33.33% |
| OLDTEAMR EUS29 vs Victor | 17–14 | 54.84% |
| OLDTEAMR EUS29 vs Xiaoyu | 16–14 | 53.33% |
| OLDTEAMR EUS29 vs Clive | 9–18 | 33.33% |
| OLDTEAMR EUS29 vs Anna | 12–15 | 44.44% |
| OLDTEAMR EUS29 vs Leroy | 16–10 | 61.54% |
| OLDTEAMR EUS29 vs Jack-8 | 11–11 | 50.00% |
| OLDTEAMR EUS29 vs Leo | 11–10 | 52.38% |
| OLDTEAMR EUS29 vs Raven | 10–9 | 52.63% |
| OLDTEAMR EUS29 vs Claudio | 8–10 | 44.44% |
| OLDTEAMR EUS29 vs Panda | 6–7 | 46.15% |
| OLDTEAMR EUS29 vs Kuma | 8–3 | 72.73% |
| OLDTEAMR EUS29 vs Zafina | 5–4 | 55.56% |
| OLDTEAMR EUS29 vs Shaheen | 3–3 | 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.