| netcode vs Kazuya | 99–82 | 54.70% |
| netcode vs Hwoarang | 75–68 | 52.45% |
| netcode vs Dragunov | 74–69 | 51.75% |
| netcode vs Reina | 83–50 | 62.41% |
| netcode vs Jin | 57–61 | 48.31% |
| netcode vs Paul | 58–45 | 56.31% |
| netcode vs Heihachi | 49–46 | 51.58% |
| netcode vs Bryan | 44–48 | 47.83% |
| netcode vs King | 50–40 | 55.56% |
| netcode vs Clive | 43–44 | 49.43% |
| netcode vs Yoshimitsu | 29–41 | 41.43% |
| netcode vs Victor | 35–35 | 50.00% |
| netcode vs Asuka | 33–32 | 50.77% |
| netcode vs Steve | 34–29 | 53.97% |
| netcode vs Azucena | 23–37 | 38.33% |
| netcode vs Law | 23–33 | 41.07% |
| netcode vs Lili | 30–22 | 57.69% |
| netcode vs Jack-8 | 19–32 | 37.25% |
| netcode vs Devil Jin | 26–23 | 53.06% |
| netcode vs Jun | 27–18 | 60.00% |
| netcode vs Feng | 26–17 | 60.47% |
| netcode vs Xiaoyu | 17–24 | 41.46% |
| netcode vs Alisa | 25–13 | 65.79% |
| netcode vs Lars | 16–20 | 44.44% |
| netcode vs Lee | 17–15 | 53.12% |
| netcode vs Lidia | 12–20 | 37.50% |
| netcode vs Nina | 11–14 | 44.00% |
| netcode vs Leroy | 14–11 | 56.00% |
| netcode vs Kuma | 14–10 | 58.33% |
| netcode vs Leo | 10–12 | 45.45% |
| netcode vs Claudio | 6–10 | 37.50% |
| netcode vs Shaheen | 6–9 | 40.00% |
| netcode vs Eddy | 3–12 | 20.00% |
| netcode vs Raven | 7–7 | 50.00% |
| netcode vs Zafina | 3–7 | 30.00% |
| netcode vs Panda | 3–2 | 60.00% |
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.