| Tune vs Heihachi | 17–30 | 36.17% |
| Tune vs Jin | 21–21 | 50.00% |
| Tune vs Kazuya | 20–19 | 51.28% |
| Tune vs Law | 20–15 | 57.14% |
| Tune vs King | 20–12 | 62.50% |
| Tune vs Hwoarang | 16–16 | 50.00% |
| Tune vs Steve | 15–15 | 50.00% |
| Tune vs Yoshimitsu | 6–22 | 21.43% |
| Tune vs Dragunov | 14–13 | 51.85% |
| Tune vs Asuka | 5–16 | 23.81% |
| Tune vs Reina | 11–9 | 55.00% |
| Tune vs Lee | 9–10 | 47.37% |
| Tune vs Lidia | 9–10 | 47.37% |
| Tune vs Lili | 11–7 | 61.11% |
| Tune vs Jun | 11–7 | 61.11% |
| Tune vs Azucena | 8–9 | 47.06% |
| Tune vs Bryan | 8–8 | 50.00% |
| Tune vs Devil Jin | 7–9 | 43.75% |
| Tune vs Nina | 6–10 | 37.50% |
| Tune vs Xiaoyu | 4–9 | 30.77% |
| Tune vs Feng | 1–12 | 7.69% |
| Tune vs Alisa | 9–3 | 75.00% |
| Tune vs Anna | 8–3 | 72.73% |
| Tune vs Kuma | 4–6 | 40.00% |
| Tune vs Paul | 3–6 | 33.33% |
| Tune vs Leo | 3–6 | 33.33% |
| Tune vs Lars | 2–7 | 22.22% |
| Tune vs Panda | 1–6 | 14.29% |
| Tune vs Leroy | 6–1 | 85.71% |
| Tune vs Eddy | 2–4 | 33.33% |
| Tune vs Claudio | 3–2 | 60.00% |
| Tune vs Shaheen | 4–1 | 80.00% |
| Tune vs Armor King | 1–4 | 20.00% |
| Tune vs Miary Zo | 4–0 | 100.00% |
| Tune vs Jack-8 | 3–0 | 100.00% |
| Tune vs Zafina | 3–0 | 100.00% |
| Tune vs Victor | 0–2 | 0.00% |
| Tune vs Raven | 0–2 | 0.00% |
| Tune vs Fahkumram | 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.