| らず⇔Reno vs Lili | 25–18 | 58.14% |
| らず⇔Reno vs Asuka | 26–11 | 70.27% |
| らず⇔Reno vs Steve | 19–16 | 54.29% |
| らず⇔Reno vs Yoshimitsu | 24–9 | 72.73% |
| らず⇔Reno vs Bryan | 15–18 | 45.45% |
| らず⇔Reno vs Kazuya | 18–12 | 60.00% |
| らず⇔Reno vs Hwoarang | 16–13 | 55.17% |
| らず⇔Reno vs King | 20–7 | 74.07% |
| らず⇔Reno vs Jin | 18–8 | 69.23% |
| らず⇔Reno vs Victor | 18–7 | 72.00% |
| らず⇔Reno vs Paul | 18–6 | 75.00% |
| らず⇔Reno vs Leo | 10–14 | 41.67% |
| らず⇔Reno vs Law | 13–10 | 56.52% |
| らず⇔Reno vs Heihachi | 10–11 | 47.62% |
| らず⇔Reno vs Jack-8 | 13–5 | 72.22% |
| らず⇔Reno vs Dragunov | 11–7 | 61.11% |
| らず⇔Reno vs Xiaoyu | 9–8 | 52.94% |
| らず⇔Reno vs Leroy | 6–10 | 37.50% |
| らず⇔Reno vs Jun | 6–10 | 37.50% |
| らず⇔Reno vs Clive | 6–9 | 40.00% |
| らず⇔Reno vs Reina | 6–8 | 42.86% |
| らず⇔Reno vs Lars | 4–9 | 30.77% |
| らず⇔Reno vs Alisa | 4–9 | 30.77% |
| らず⇔Reno vs Nina | 10–3 | 76.92% |
| らず⇔Reno vs Feng | 8–4 | 66.67% |
| らず⇔Reno vs Kuma | 8–4 | 66.67% |
| らず⇔Reno vs Devil Jin | 6–5 | 54.55% |
| らず⇔Reno vs Anna | 7–4 | 63.64% |
| らず⇔Reno vs Azucena | 8–2 | 80.00% |
| らず⇔Reno vs Raven | 6–4 | 60.00% |
| らず⇔Reno vs Lidia | 6–3 | 66.67% |
| らず⇔Reno vs Fahkumram | 5–4 | 55.56% |
| らず⇔Reno vs Claudio | 4–4 | 50.00% |
| らず⇔Reno vs Lee | 4–1 | 80.00% |
| らず⇔Reno vs Eddy | 1–4 | 20.00% |
| らず⇔Reno vs Panda | 1–3 | 25.00% |
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.