| Mclastin vs Bryan | 43–33 | 56.58% |
| Mclastin vs Reina | 46–25 | 64.79% |
| Mclastin vs King | 35–35 | 50.00% |
| Mclastin vs Jin | 44–25 | 63.77% |
| Mclastin vs Hwoarang | 36–27 | 57.14% |
| Mclastin vs Kazuya | 30–27 | 52.63% |
| Mclastin vs Heihachi | 42–13 | 76.36% |
| Mclastin vs Paul | 33–21 | 61.11% |
| Mclastin vs Steve | 28–22 | 56.00% |
| Mclastin vs Yoshimitsu | 27–19 | 58.70% |
| Mclastin vs Lidia | 24–20 | 54.55% |
| Mclastin vs Lee | 28–14 | 66.67% |
| Mclastin vs Asuka | 26–15 | 63.41% |
| Mclastin vs Law | 22–15 | 59.46% |
| Mclastin vs Lili | 15–22 | 40.54% |
| Mclastin vs Jun | 20–16 | 55.56% |
| Mclastin vs Dragunov | 21–14 | 60.00% |
| Mclastin vs Azucena | 17–14 | 54.84% |
| Mclastin vs Raven | 20–11 | 64.52% |
| Mclastin vs Victor | 14–16 | 46.67% |
| Mclastin vs Xiaoyu | 21–8 | 72.41% |
| Mclastin vs Leo | 19–9 | 67.86% |
| Mclastin vs Lars | 17–9 | 65.38% |
| Mclastin vs Jack-8 | 7–16 | 30.43% |
| Mclastin vs Nina | 6–15 | 28.57% |
| Mclastin vs Leroy | 11–10 | 52.38% |
| Mclastin vs Devil Jin | 11–8 | 57.89% |
| Mclastin vs Alisa | 9–8 | 52.94% |
| Mclastin vs Zafina | 6–9 | 40.00% |
| Mclastin vs Clive | 7–7 | 50.00% |
| Mclastin vs Eddy | 6–6 | 50.00% |
| Mclastin vs Claudio | 7–4 | 63.64% |
| Mclastin vs Feng | 6–4 | 60.00% |
| Mclastin vs Shaheen | 6–4 | 60.00% |
| Mclastin vs Armor King | 6–4 | 60.00% |
| Mclastin vs Panda | 5–3 | 62.50% |
| Mclastin vs Anna | 3–3 | 50.00% |
| Mclastin vs Kuma | 3–2 | 60.00% |
| Mclastin vs Miary Zo | 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.