| Rattler4MVP vs Armor King | 18–23 | 43.90% |
| Rattler4MVP vs King | 13–5 | 72.22% |
| Rattler4MVP vs Kazuya | 14–4 | 77.78% |
| Rattler4MVP vs Reina | 9–8 | 52.94% |
| Rattler4MVP vs Law | 11–5 | 68.75% |
| Rattler4MVP vs Hwoarang | 7–8 | 46.67% |
| Rattler4MVP vs Victor | 8–7 | 53.33% |
| Rattler4MVP vs Lili | 6–8 | 42.86% |
| Rattler4MVP vs Jin | 8–4 | 66.67% |
| Rattler4MVP vs Dragunov | 7–4 | 63.64% |
| Rattler4MVP vs Heihachi | 5–6 | 45.45% |
| Rattler4MVP vs Fahkumram | 4–7 | 36.36% |
| Rattler4MVP vs Jack-8 | 5–5 | 50.00% |
| Rattler4MVP vs Devil Jin | 5–5 | 50.00% |
| Rattler4MVP vs Azucena | 5–5 | 50.00% |
| Rattler4MVP vs Paul | 4–5 | 44.44% |
| Rattler4MVP vs Bryan | 8–1 | 88.89% |
| Rattler4MVP vs Lee | 3–6 | 33.33% |
| Rattler4MVP vs Steve | 8–0 | 100.00% |
| Rattler4MVP vs Jun | 5–3 | 62.50% |
| Rattler4MVP vs Eddy | 5–3 | 62.50% |
| Rattler4MVP vs Xiaoyu | 3–4 | 42.86% |
| Rattler4MVP vs Anna | 4–3 | 57.14% |
| Rattler4MVP vs Asuka | 3–2 | 60.00% |
| Rattler4MVP vs Yoshimitsu | 0–4 | 0.00% |
| Rattler4MVP vs Lars | 3–1 | 75.00% |
| Rattler4MVP vs Alisa | 0–4 | 0.00% |
| Rattler4MVP vs Raven | 2–2 | 50.00% |
| Rattler4MVP vs Leo | 0–3 | 0.00% |
| Rattler4MVP vs Nina | 1–2 | 33.33% |
| Rattler4MVP vs Zafina | 2–1 | 66.67% |
| Rattler4MVP vs Leroy | 2–1 | 66.67% |
| Rattler4MVP vs Clive | 1–2 | 33.33% |
| Rattler4MVP vs Feng | 0–2 | 0.00% |
| Rattler4MVP vs Shaheen | 0–2 | 0.00% |
| Rattler4MVP vs Lidia | 0–2 | 0.00% |
| Rattler4MVP vs Miary Zo | 0–2 | 0.00% |
| Rattler4MVP vs Kuma | 1–0 | 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.