| issac_19 vs Dragunov | 44–49 | 47.31% |
| issac_19 vs Kazuya | 49–34 | 59.04% |
| issac_19 vs Paul | 38–44 | 46.34% |
| issac_19 vs Hwoarang | 41–37 | 52.56% |
| issac_19 vs King | 40–26 | 60.61% |
| issac_19 vs Reina | 38–28 | 57.58% |
| issac_19 vs Victor | 31–32 | 49.21% |
| issac_19 vs Lili | 37–23 | 61.67% |
| issac_19 vs Azucena | 37–23 | 61.67% |
| issac_19 vs Bryan | 26–33 | 44.07% |
| issac_19 vs Jin | 29–25 | 53.70% |
| issac_19 vs Nina | 24–28 | 46.15% |
| issac_19 vs Law | 28–21 | 57.14% |
| issac_19 vs Asuka | 28–17 | 62.22% |
| issac_19 vs Jun | 21–24 | 46.67% |
| issac_19 vs Alisa | 18–26 | 40.91% |
| issac_19 vs Eddy | 21–23 | 47.73% |
| issac_19 vs Feng | 16–25 | 39.02% |
| issac_19 vs Jack-8 | 15–25 | 37.50% |
| issac_19 vs Yoshimitsu | 23–15 | 60.53% |
| issac_19 vs Lars | 20–12 | 62.50% |
| issac_19 vs Xiaoyu | 14–15 | 48.28% |
| issac_19 vs Devil Jin | 11–17 | 39.29% |
| issac_19 vs Claudio | 17–10 | 62.96% |
| issac_19 vs Steve | 12–14 | 46.15% |
| issac_19 vs Lee | 11–15 | 42.31% |
| issac_19 vs Leroy | 8–12 | 40.00% |
| issac_19 vs Shaheen | 10–9 | 52.63% |
| issac_19 vs Leo | 9–9 | 50.00% |
| issac_19 vs Kuma | 5–11 | 31.25% |
| issac_19 vs Zafina | 5–9 | 35.71% |
| issac_19 vs Raven | 3–11 | 21.43% |
| issac_19 vs Lidia | 7–7 | 50.00% |
| issac_19 vs Panda | 2–2 | 50.00% |
| issac_19 vs Heihachi | 0–2 | 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.