| izwaaacc vs Kazuya | 58–39 | 59.79% |
| izwaaacc vs King | 49–42 | 53.85% |
| izwaaacc vs Jin | 46–41 | 52.87% |
| izwaaacc vs Steve | 49–32 | 60.49% |
| izwaaacc vs Dragunov | 37–32 | 53.62% |
| izwaaacc vs Armor King | 30–33 | 47.62% |
| izwaaacc vs Reina | 28–33 | 45.90% |
| izwaaacc vs Bryan | 27–27 | 50.00% |
| izwaaacc vs Fahkumram | 19–27 | 41.30% |
| izwaaacc vs Asuka | 24–19 | 55.81% |
| izwaaacc vs Lars | 27–15 | 64.29% |
| izwaaacc vs Hwoarang | 22–17 | 56.41% |
| izwaaacc vs Jun | 12–27 | 30.77% |
| izwaaacc vs Law | 10–24 | 29.41% |
| izwaaacc vs Clive | 14–19 | 42.42% |
| izwaaacc vs Yoshimitsu | 13–19 | 40.62% |
| izwaaacc vs Victor | 17–13 | 56.67% |
| izwaaacc vs Lee | 16–13 | 55.17% |
| izwaaacc vs Xiaoyu | 10–17 | 37.04% |
| izwaaacc vs Lili | 8–18 | 30.77% |
| izwaaacc vs Nina | 12–14 | 46.15% |
| izwaaacc vs Heihachi | 16–9 | 64.00% |
| izwaaacc vs Devil Jin | 14–10 | 58.33% |
| izwaaacc vs Eddy | 9–14 | 39.13% |
| izwaaacc vs Alisa | 6–16 | 27.27% |
| izwaaacc vs Paul | 10–10 | 50.00% |
| izwaaacc vs Lidia | 12–7 | 63.16% |
| izwaaacc vs Leroy | 7–11 | 38.89% |
| izwaaacc vs Jack-8 | 9–8 | 52.94% |
| izwaaacc vs Miary Zo | 6–11 | 35.29% |
| izwaaacc vs Leo | 3–13 | 18.75% |
| izwaaacc vs Anna | 7–9 | 43.75% |
| izwaaacc vs Feng | 8–5 | 61.54% |
| izwaaacc vs Azucena | 4–8 | 33.33% |
| izwaaacc vs Claudio | 3–7 | 30.00% |
| izwaaacc vs Zafina | 4–5 | 44.44% |
| izwaaacc vs Kuma | 2–6 | 25.00% |
| izwaaacc vs Panda | 1–7 | 12.50% |
| izwaaacc vs Shaheen | 2–3 | 40.00% |
| izwaaacc vs Raven | 3–1 | 75.00% |
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.