| iRystine vs Jin | 35–40 | 46.67% |
| iRystine vs Steve | 46–24 | 65.71% |
| iRystine vs King | 36–32 | 52.94% |
| iRystine vs Kazuya | 34–26 | 56.67% |
| iRystine vs Bryan | 27–20 | 57.45% |
| iRystine vs Yoshimitsu | 25–19 | 56.82% |
| iRystine vs Heihachi | 24–19 | 55.81% |
| iRystine vs Dragunov | 25–17 | 59.52% |
| iRystine vs Reina | 30–11 | 73.17% |
| iRystine vs Miary Zo | 19–15 | 55.88% |
| iRystine vs Lars | 16–12 | 57.14% |
| iRystine vs Asuka | 16–11 | 59.26% |
| iRystine vs Clive | 16–10 | 61.54% |
| iRystine vs Lili | 14–11 | 56.00% |
| iRystine vs Jun | 12–12 | 50.00% |
| iRystine vs Hwoarang | 9–13 | 40.91% |
| iRystine vs Jack-8 | 12–7 | 63.16% |
| iRystine vs Lidia | 10–9 | 52.63% |
| iRystine vs Lee | 5–13 | 27.78% |
| iRystine vs Devil Jin | 4–12 | 25.00% |
| iRystine vs Shaheen | 11–4–1 | 73.33% |
| iRystine vs Armor King | 12–4 | 75.00% |
| iRystine vs Xiaoyu | 11–4 | 73.33% |
| iRystine vs Azucena | 9–6 | 60.00% |
| iRystine vs Fahkumram | 9–6 | 60.00% |
| iRystine vs Alisa | 7–7 | 50.00% |
| iRystine vs Paul | 4–8 | 33.33% |
| iRystine vs Leo | 8–4 | 66.67% |
| iRystine vs Nina | 6–5 | 54.55% |
| iRystine vs Law | 6–4 | 60.00% |
| iRystine vs Feng | 6–2 | 75.00% |
| iRystine vs Claudio | 3–5 | 37.50% |
| iRystine vs Victor | 5–3 | 62.50% |
| iRystine vs Eddy | 3–3 | 50.00% |
| iRystine vs Zafina | 1–4 | 20.00% |
| iRystine vs Leroy | 2–3 | 40.00% |
| iRystine vs Raven | 2–2 | 50.00% |
| iRystine vs Anna | 2–2 | 50.00% |
| iRystine vs Kuma | 0–2 | 0.00% |
| iRystine vs Panda | 1–1 | 50.00% |
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.