| Stark vs King | 50–35 | 58.82% |
| Stark vs Kazuya | 36–21 | 63.16% |
| Stark vs Law | 25–24 | 51.02% |
| Stark vs Jin | 24–22 | 52.17% |
| Stark vs Armor King | 19–25 | 43.18% |
| Stark vs Bryan | 20–20 | 50.00% |
| Stark vs Steve | 21–18 | 53.85% |
| Stark vs Paul | 14–17 | 45.16% |
| Stark vs Yoshimitsu | 9–18 | 33.33% |
| Stark vs Hwoarang | 11–13 | 45.83% |
| Stark vs Nina | 10–14 | 41.67% |
| Stark vs Azucena | 12–10 | 54.55% |
| Stark vs Dragunov | 11–9 | 55.00% |
| Stark vs Devil Jin | 6–12 | 33.33% |
| Stark vs Miary Zo | 8–10 | 44.44% |
| Stark vs Victor | 7–10 | 41.18% |
| Stark vs Lili | 10–6 | 62.50% |
| Stark vs Eddy | 6–7 | 46.15% |
| Stark vs Fahkumram | 4–9 | 30.77% |
| Stark vs Lars | 9–2 | 81.82% |
| Stark vs Anna | 4–7 | 36.36% |
| Stark vs Feng | 4–6 | 40.00% |
| Stark vs Leo | 8–2 | 80.00% |
| Stark vs Shaheen | 3–6 | 33.33% |
| Stark vs Reina | 5–4 | 55.56% |
| Stark vs Asuka | 3–5 | 37.50% |
| Stark vs Heihachi | 5–3 | 62.50% |
| Stark vs Alisa | 3–4 | 42.86% |
| Stark vs Clive | 3–4 | 42.86% |
| Stark vs Kuma | 3–3 | 50.00% |
| Stark vs Xiaoyu | 0–5 | 0.00% |
| Stark vs Lee | 4–1 | 80.00% |
| Stark vs Leroy | 2–3 | 40.00% |
| Stark vs Jun | 3–2 | 60.00% |
| Stark vs Jack-8 | 2–1 | 66.67% |
| Stark vs Claudio | 2–1 | 66.67% |
| Stark vs Lidia | 2–1 | 66.67% |
| Stark vs Zafina | 0–1 | 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.