| Killmonger vs Kazuya | 56–39 | 58.95% |
| Killmonger vs Dragunov | 41–39 | 51.25% |
| Killmonger vs King | 35–27 | 56.45% |
| Killmonger vs Jin | 33–29 | 53.23% |
| Killmonger vs Steve | 38–15 | 71.70% |
| Killmonger vs Reina | 31–21 | 59.62% |
| Killmonger vs Hwoarang | 33–15 | 68.75% |
| Killmonger vs Bryan | 23–16 | 58.97% |
| Killmonger vs Law | 15–23 | 39.47% |
| Killmonger vs Yoshimitsu | 15–22 | 40.54% |
| Killmonger vs Jun | 13–21 | 38.24% |
| Killmonger vs Lili | 16–17 | 48.48% |
| Killmonger vs Eddy | 17–16 | 51.52% |
| Killmonger vs Victor | 20–11 | 64.52% |
| Killmonger vs Paul | 13–16 | 44.83% |
| Killmonger vs Devil Jin | 20–9 | 68.97% |
| Killmonger vs Azucena | 14–15 | 48.28% |
| Killmonger vs Asuka | 17–10 | 62.96% |
| Killmonger vs Nina | 14–13 | 51.85% |
| Killmonger vs Lars | 18–8 | 69.23% |
| Killmonger vs Clive | 16–10 | 61.54% |
| Killmonger vs Leo | 15–9 | 62.50% |
| Killmonger vs Xiaoyu | 13–9 | 59.09% |
| Killmonger vs Alisa | 9–12 | 42.86% |
| Killmonger vs Lidia | 10–9 | 52.63% |
| Killmonger vs Heihachi | 8–11 | 42.11% |
| Killmonger vs Jack-8 | 9–8 | 52.94% |
| Killmonger vs Feng | 9–8 | 52.94% |
| Killmonger vs Lee | 4–13 | 23.53% |
| Killmonger vs Kuma | 11–4 | 73.33% |
| Killmonger vs Claudio | 3–8 | 27.27% |
| Killmonger vs Shaheen | 4–6 | 40.00% |
| Killmonger vs Leroy | 4–6 | 40.00% |
| Killmonger vs Raven | 2–6 | 25.00% |
| Killmonger vs Zafina | 4–1 | 80.00% |
| Killmonger vs Panda | 0–3 | 0.00% |
| Killmonger vs Fahkumram | 2–1 | 66.67% |
| Killmonger vs Anna | 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.