| Paxolotl vs King | 41–14 | 74.55% |
| Paxolotl vs Steve | 38–13 | 74.51% |
| Paxolotl vs Kazuya | 30–17 | 63.83% |
| Paxolotl vs Hwoarang | 30–14 | 68.18% |
| Paxolotl vs Reina | 29–13 | 69.05% |
| Paxolotl vs Paul | 21–17–1 | 55.26% |
| Paxolotl vs Eddy | 20–19 | 51.28% |
| Paxolotl vs Jin | 22–16 | 57.89% |
| Paxolotl vs Law | 22–13 | 62.86% |
| Paxolotl vs Dragunov | 22–9 | 70.97% |
| Paxolotl vs Heihachi | 19–12 | 61.29% |
| Paxolotl vs Bryan | 25–5 | 83.33% |
| Paxolotl vs Feng | 20–9 | 68.97% |
| Paxolotl vs Azucena | 22–7 | 75.86% |
| Paxolotl vs Lili | 15–10 | 60.00% |
| Paxolotl vs Jun | 14–8 | 63.64% |
| Paxolotl vs Armor King | 16–6 | 72.73% |
| Paxolotl vs Yoshimitsu | 10–10 | 50.00% |
| Paxolotl vs Xiaoyu | 13–6 | 68.42% |
| Paxolotl vs Leroy | 15–4 | 78.95% |
| Paxolotl vs Victor | 14–5 | 73.68% |
| Paxolotl vs Lee | 11–7 | 61.11% |
| Paxolotl vs Leo | 10–7 | 58.82% |
| Paxolotl vs Clive | 15–2 | 88.24% |
| Paxolotl vs Raven | 10–6 | 62.50% |
| Paxolotl vs Fahkumram | 12–4 | 75.00% |
| Paxolotl vs Nina | 11–2 | 84.62% |
| Paxolotl vs Devil Jin | 6–6 | 50.00% |
| Paxolotl vs Asuka | 10–1 | 90.91% |
| Paxolotl vs Claudio | 8–3 | 72.73% |
| Paxolotl vs Anna | 6–5 | 54.55% |
| Paxolotl vs Lars | 8–1 | 88.89% |
| Paxolotl vs Lidia | 7–2 | 77.78% |
| Paxolotl vs Shaheen | 5–3 | 62.50% |
| Paxolotl vs Alisa | 5–0 | 100.00% |
| Paxolotl vs Kuma | 3–1 | 75.00% |
| Paxolotl vs Panda | 4–0 | 100.00% |
| Paxolotl vs Jack-8 | 2–0 | 100.00% |
| Paxolotl vs Zafina | 2–0 | 100.00% |
| Paxolotl vs Miary Zo | 0–2 | 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.