| ELABD_98 vs Reina | 38–26 | 59.38% |
| ELABD_98 vs Jin | 27–10 | 72.97% |
| ELABD_98 vs King | 20–11 | 64.52% |
| ELABD_98 vs Steve | 18–11 | 62.07% |
| ELABD_98 vs Kazuya | 15–12 | 55.56% |
| ELABD_98 vs Lili | 16–11 | 59.26% |
| ELABD_98 vs Dragunov | 11–15 | 42.31% |
| ELABD_98 vs Law | 11–9 | 55.00% |
| ELABD_98 vs Victor | 7–13 | 35.00% |
| ELABD_98 vs Bryan | 7–12 | 36.84% |
| ELABD_98 vs Devil Jin | 7–8 | 46.67% |
| ELABD_98 vs Paul | 3–10 | 23.08% |
| ELABD_98 vs Shaheen | 8–5 | 61.54% |
| ELABD_98 vs Xiaoyu | 5–6 | 45.45% |
| ELABD_98 vs Alisa | 5–6 | 45.45% |
| ELABD_98 vs Nina | 7–4 | 63.64% |
| ELABD_98 vs Azucena | 6–4 | 60.00% |
| ELABD_98 vs Eddy | 7–3 | 70.00% |
| ELABD_98 vs Heihachi | 8–2 | 80.00% |
| ELABD_98 vs Leroy | 8–1 | 88.89% |
| ELABD_98 vs Raven | 4–5 | 44.44% |
| ELABD_98 vs Hwoarang | 5–3 | 62.50% |
| ELABD_98 vs Jun | 5–3 | 62.50% |
| ELABD_98 vs Clive | 4–4 | 50.00% |
| ELABD_98 vs Asuka | 4–3 | 57.14% |
| ELABD_98 vs Yoshimitsu | 4–2 | 66.67% |
| ELABD_98 vs Feng | 5–0 | 100.00% |
| ELABD_98 vs Lee | 4–1 | 80.00% |
| ELABD_98 vs Fahkumram | 4–1 | 80.00% |
| ELABD_98 vs Lars | 1–3 | 25.00% |
| ELABD_98 vs Claudio | 0–4 | 0.00% |
| ELABD_98 vs Armor King | 3–1 | 75.00% |
| ELABD_98 vs Leo | 1–2 | 33.33% |
| ELABD_98 vs Jack-8 | 2–0 | 100.00% |
| ELABD_98 vs Anna | 1–1 | 50.00% |
| ELABD_98 vs Kuma | 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.