| NPeltchie1 vs King | 101–126 | 44.49% |
| NPeltchie1 vs Kazuya | 96–88 | 52.17% |
| NPeltchie1 vs Reina | 85–96 | 46.96% |
| NPeltchie1 vs Jin | 91–75 | 54.82% |
| NPeltchie1 vs Steve | 67–90 | 42.68% |
| NPeltchie1 vs Hwoarang | 65–83 | 43.92% |
| NPeltchie1 vs Dragunov | 63–69 | 47.73% |
| NPeltchie1 vs Law | 48–72 | 40.00% |
| NPeltchie1 vs Heihachi | 49–64 | 43.36% |
| NPeltchie1 vs Bryan | 46–58 | 44.23% |
| NPeltchie1 vs Jun | 30–64 | 31.91% |
| NPeltchie1 vs Asuka | 44–47 | 48.35% |
| NPeltchie1 vs Lili | 40–48 | 45.45% |
| NPeltchie1 vs Yoshimitsu | 39–45 | 46.43% |
| NPeltchie1 vs Paul | 32–49 | 39.51% |
| NPeltchie1 vs Victor | 39–41 | 48.75% |
| NPeltchie1 vs Eddy | 31–45 | 40.79% |
| NPeltchie1 vs Xiaoyu | 32–43 | 42.67% |
| NPeltchie1 vs Nina | 22–50 | 30.56% |
| NPeltchie1 vs Lee | 32–35 | 47.76% |
| NPeltchie1 vs Azucena | 30–37 | 44.78% |
| NPeltchie1 vs Leo | 27–34 | 44.26% |
| NPeltchie1 vs Leroy | 30–29 | 50.85% |
| NPeltchie1 vs Alisa | 18–39 | 31.58% |
| NPeltchie1 vs Lidia | 19–37 | 33.93% |
| NPeltchie1 vs Devil Jin | 13–36 | 26.53% |
| NPeltchie1 vs Feng | 18–29 | 38.30% |
| NPeltchie1 vs Lars | 19–26 | 42.22% |
| NPeltchie1 vs Kuma | 15–19 | 44.12% |
| NPeltchie1 vs Claudio | 12–21 | 36.36% |
| NPeltchie1 vs Jack-8 | 13–18 | 41.94% |
| NPeltchie1 vs Raven | 13–16 | 44.83% |
| NPeltchie1 vs Shaheen | 14–7 | 66.67% |
| NPeltchie1 vs Panda | 7–8 | 46.67% |
| NPeltchie1 vs Anna | 5–10 | 33.33% |
| NPeltchie1 vs Fahkumram | 4–9 | 30.77% |
| NPeltchie1 vs Clive | 6–6 | 50.00% |
| NPeltchie1 vs Zafina | 5–4 | 55.56% |
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.