| WAKANDA vs Kazuya | 39–29 | 57.35% |
| WAKANDA vs King | 38–28 | 57.58% |
| WAKANDA vs Hwoarang | 36–23 | 61.02% |
| WAKANDA vs Dragunov | 27–23 | 54.00% |
| WAKANDA vs Bryan | 24–23 | 51.06% |
| WAKANDA vs Lili | 16–30 | 34.78% |
| WAKANDA vs Nina | 26–18 | 59.09% |
| WAKANDA vs Law | 21–19 | 52.50% |
| WAKANDA vs Jin | 25–14 | 64.10% |
| WAKANDA vs Steve | 17–18 | 48.57% |
| WAKANDA vs Devil Jin | 20–13 | 60.61% |
| WAKANDA vs Paul | 12–20 | 37.50% |
| WAKANDA vs Yoshimitsu | 25–7 | 78.12% |
| WAKANDA vs Reina | 18–14 | 56.25% |
| WAKANDA vs Alisa | 15–16 | 48.39% |
| WAKANDA vs Heihachi | 20–8 | 71.43% |
| WAKANDA vs Lee | 19–6 | 76.00% |
| WAKANDA vs Lars | 13–11 | 54.17% |
| WAKANDA vs Feng | 8–14 | 36.36% |
| WAKANDA vs Eddy | 14–8 | 63.64% |
| WAKANDA vs Clive | 9–13 | 40.91% |
| WAKANDA vs Victor | 9–12 | 42.86% |
| WAKANDA vs Asuka | 10–10 | 50.00% |
| WAKANDA vs Armor King | 5–10 | 33.33% |
| WAKANDA vs Jack-8 | 10–3 | 76.92% |
| WAKANDA vs Jun | 10–3 | 76.92% |
| WAKANDA vs Leroy | 1–8 | 11.11% |
| WAKANDA vs Leo | 3–5 | 37.50% |
| WAKANDA vs Claudio | 3–5 | 37.50% |
| WAKANDA vs Kuma | 2–6 | 25.00% |
| WAKANDA vs Azucena | 3–5 | 37.50% |
| WAKANDA vs Raven | 5–3 | 62.50% |
| WAKANDA vs Miary Zo | 0–8 | 0.00% |
| WAKANDA vs Xiaoyu | 3–4 | 42.86% |
| WAKANDA vs Shaheen | 3–2 | 60.00% |
| WAKANDA vs Zafina | 2–3 | 40.00% |
| WAKANDA vs Fahkumram | 3–2 | 60.00% |
| WAKANDA vs Lidia | 1–2 | 33.33% |
| WAKANDA vs Panda | 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.