| Semola83 vs Jin | 72–89 | 44.72% |
| Semola83 vs Steve | 49–83 | 37.12% |
| Semola83 vs King | 59–69 | 46.09% |
| Semola83 vs Hwoarang | 53–68 | 43.80% |
| Semola83 vs Kazuya | 43–75 | 36.44% |
| Semola83 vs Bryan | 29–71 | 29.00% |
| Semola83 vs Law | 29–64 | 31.18% |
| Semola83 vs Reina | 31–55 | 36.05% |
| Semola83 vs Clive | 13–67 | 16.25% |
| Semola83 vs Eddy | 20–52 | 27.78% |
| Semola83 vs Heihachi | 20–42 | 32.26% |
| Semola83 vs Nina | 32–27 | 54.24% |
| Semola83 vs Paul | 11–45 | 19.64% |
| Semola83 vs Armor King | 20–29 | 40.82% |
| Semola83 vs Dragunov | 17–31 | 35.42% |
| Semola83 vs Jun | 19–29 | 39.58% |
| Semola83 vs Lili | 20–27 | 42.55% |
| Semola83 vs Yoshimitsu | 12–33 | 26.67% |
| Semola83 vs Devil Jin | 4–34 | 10.53% |
| Semola83 vs Alisa | 13–25 | 34.21% |
| Semola83 vs Xiaoyu | 14–22 | 38.89% |
| Semola83 vs Feng | 13–23 | 36.11% |
| Semola83 vs Leroy | 10–24 | 29.41% |
| Semola83 vs Azucena | 15–19 | 44.12% |
| Semola83 vs Victor | 8–25 | 24.24% |
| Semola83 vs Jack-8 | 9–22 | 29.03% |
| Semola83 vs Asuka | 13–17 | 43.33% |
| Semola83 vs Lars | 15–15 | 50.00% |
| Semola83 vs Fahkumram | 12–16 | 42.86% |
| Semola83 vs Miary Zo | 7–21 | 25.00% |
| Semola83 vs Lee | 11–15 | 42.31% |
| Semola83 vs Raven | 9–13 | 40.91% |
| Semola83 vs Lidia | 10–11 | 47.62% |
| Semola83 vs Claudio | 9–9 | 50.00% |
| Semola83 vs Leo | 6–9 | 40.00% |
| Semola83 vs Kuma | 8–5 | 61.54% |
| Semola83 vs Zafina | 5–5 | 50.00% |
| Semola83 vs Shaheen | 3–4 | 42.86% |
| Semola83 vs Anna | 2–5 | 28.57% |
| Semola83 vs Panda | 1–4 | 20.00% |
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.