| Sheesh vs Clive | 45–55 | 45.00% |
| Sheesh vs Kazuya | 17–37 | 31.48% |
| Sheesh vs Jin | 11–35 | 23.91% |
| Sheesh vs Reina | 16–23 | 41.03% |
| Sheesh vs King | 19–18 | 51.35% |
| Sheesh vs Steve | 16–17 | 48.48% |
| Sheesh vs Dragunov | 8–23 | 25.81% |
| Sheesh vs Hwoarang | 11–18 | 37.93% |
| Sheesh vs Bryan | 8–15 | 34.78% |
| Sheesh vs Asuka | 11–10 | 52.38% |
| Sheesh vs Devil Jin | 8–13 | 38.10% |
| Sheesh vs Victor | 7–14 | 33.33% |
| Sheesh vs Heihachi | 11–8 | 57.89% |
| Sheesh vs Yoshimitsu | 7–11 | 38.89% |
| Sheesh vs Paul | 9–7 | 56.25% |
| Sheesh vs Feng | 3–13 | 18.75% |
| Sheesh vs Law | 5–10 | 33.33% |
| Sheesh vs Xiaoyu | 11–4 | 73.33% |
| Sheesh vs Lili | 7–7 | 50.00% |
| Sheesh vs Alisa | 3–9 | 25.00% |
| Sheesh vs Claudio | 5–7 | 41.67% |
| Sheesh vs Azucena | 5–6 | 45.45% |
| Sheesh vs Armor King | 5–5 | 50.00% |
| Sheesh vs Lars | 1–8 | 11.11% |
| Sheesh vs Lidia | 4–3 | 57.14% |
| Sheesh vs Jun | 2–4 | 33.33% |
| Sheesh vs Raven | 4–2 | 66.67% |
| Sheesh vs Leo | 1–4 | 20.00% |
| Sheesh vs Jack-8 | 2–2 | 50.00% |
| Sheesh vs Shaheen | 1–3 | 25.00% |
| Sheesh vs Nina | 1–3 | 25.00% |
| Sheesh vs Lee | 0–4 | 0.00% |
| Sheesh vs Panda | 0–4 | 0.00% |
| Sheesh vs Anna | 2–2 | 50.00% |
| Sheesh vs Miary Zo | 0–4 | 0.00% |
| Sheesh vs Eddy | 0–2 | 0.00% |
| Sheesh vs Fahkumram | 2–0 | 100.00% |
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.