| pax2000 vs Kazuya | 138–86 | 61.61% |
| pax2000 vs Jin | 80–104 | 43.48% |
| pax2000 vs Bryan | 75–102 | 42.37% |
| pax2000 vs Reina | 85–79 | 51.83% |
| pax2000 vs Heihachi | 62–76 | 44.93% |
| pax2000 vs King | 60–71 | 45.80% |
| pax2000 vs Law | 68–61 | 52.71% |
| pax2000 vs Steve | 53–59 | 47.32% |
| pax2000 vs Lili | 48–51 | 48.48% |
| pax2000 vs Hwoarang | 41–41 | 50.00% |
| pax2000 vs Dragunov | 43–39 | 52.44% |
| pax2000 vs Jun | 40–40 | 50.00% |
| pax2000 vs Yoshimitsu | 35–44 | 44.30% |
| pax2000 vs Azucena | 40–39 | 50.63% |
| pax2000 vs Paul | 29–49 | 37.18% |
| pax2000 vs Lee | 32–31 | 50.79% |
| pax2000 vs Devil Jin | 30–32 | 48.39% |
| pax2000 vs Asuka | 30–29 | 50.85% |
| pax2000 vs Nina | 28–30 | 48.28% |
| pax2000 vs Feng | 28–24 | 53.85% |
| pax2000 vs Eddy | 23–28 | 45.10% |
| pax2000 vs Victor | 21–26 | 44.68% |
| pax2000 vs Clive | 18–25 | 41.86% |
| pax2000 vs Lars | 19–22 | 46.34% |
| pax2000 vs Lidia | 16–23 | 41.03% |
| pax2000 vs Xiaoyu | 16–22 | 42.11% |
| pax2000 vs Armor King | 13–21 | 38.24% |
| pax2000 vs Kuma | 14–18 | 43.75% |
| pax2000 vs Claudio | 11–19 | 36.67% |
| pax2000 vs Fahkumram | 15–15 | 50.00% |
| pax2000 vs Jack-8 | 12–17 | 41.38% |
| pax2000 vs Leroy | 13–15 | 46.43% |
| pax2000 vs Raven | 12–15 | 44.44% |
| pax2000 vs Anna | 10–17 | 37.04% |
| pax2000 vs Leo | 13–9 | 59.09% |
| pax2000 vs Alisa | 13–8 | 61.90% |
| pax2000 vs Zafina | 6–9 | 40.00% |
| pax2000 vs Shaheen | 5–7 | 41.67% |
| pax2000 vs Miary Zo | 3–5 | 37.50% |
| pax2000 vs Panda | 0–4 | 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.