| Wena vs Kazuya | 49–28 | 63.64% |
| Wena vs Dragunov | 34–18 | 65.38% |
| Wena vs Reina | 37–11 | 77.08% |
| Wena vs Heihachi | 31–17 | 64.58% |
| Wena vs Paul | 25–9 | 73.53% |
| Wena vs Hwoarang | 18–14 | 56.25% |
| Wena vs King | 25–1 | 96.15% |
| Wena vs Bryan | 17–6 | 73.91% |
| Wena vs Devil Jin | 13–10 | 56.52% |
| Wena vs Jin | 13–7 | 65.00% |
| Wena vs Yoshimitsu | 16–3 | 84.21% |
| Wena vs Jack-8 | 12–7 | 63.16% |
| Wena vs Asuka | 11–8 | 57.89% |
| Wena vs Claudio | 18–1 | 94.74% |
| Wena vs Xiaoyu | 11–7 | 61.11% |
| Wena vs Jun | 10–7 | 58.82% |
| Wena vs Leo | 12–4 | 75.00% |
| Wena vs Azucena | 10–6 | 62.50% |
| Wena vs Steve | 7–8 | 46.67% |
| Wena vs Feng | 13–2 | 86.67% |
| Wena vs Lidia | 9–6 | 60.00% |
| Wena vs Victor | 6–7 | 46.15% |
| Wena vs Fahkumram | 5–7 | 41.67% |
| Wena vs Leroy | 8–3 | 72.73% |
| Wena vs Lars | 8–2 | 80.00% |
| Wena vs Nina | 7–3 | 70.00% |
| Wena vs Lee | 6–4 | 60.00% |
| Wena vs Clive | 7–3 | 70.00% |
| Wena vs Lili | 7–2 | 77.78% |
| Wena vs Zafina | 4–5 | 44.44% |
| Wena vs Alisa | 7–1 | 87.50% |
| Wena vs Anna | 6–2 | 75.00% |
| Wena vs Law | 5–1 | 83.33% |
| Wena vs Panda | 3–0 | 100.00% |
| Wena vs Raven | 2–0 | 100.00% |
| Wena vs Eddy | 2–0 | 100.00% |
| Wena vs Miary Zo | 0–2 | 0.00% |
| Wena vs Shaheen | 1–0 | 100.00% |
| Wena 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.