| Plinplinplon vs Kazuya | 34–29 | 53.97% |
| Plinplinplon vs King | 27–15 | 64.29% |
| Plinplinplon vs Jin | 25–16 | 60.98% |
| Plinplinplon vs Dragunov | 23–18 | 56.10% |
| Plinplinplon vs Reina | 30–10 | 75.00% |
| Plinplinplon vs Bryan | 15–21 | 41.67% |
| Plinplinplon vs Steve | 19–17 | 52.78% |
| Plinplinplon vs Yoshimitsu | 12–22 | 35.29% |
| Plinplinplon vs Victor | 12–13 | 48.00% |
| Plinplinplon vs Heihachi | 14–8 | 63.64% |
| Plinplinplon vs Hwoarang | 11–10 | 52.38% |
| Plinplinplon vs Law | 14–5 | 73.68% |
| Plinplinplon vs Devil Jin | 9–10 | 47.37% |
| Plinplinplon vs Paul | 8–10 | 44.44% |
| Plinplinplon vs Lili | 8–10 | 44.44% |
| Plinplinplon vs Lee | 10–7 | 58.82% |
| Plinplinplon vs Jun | 7–10 | 41.18% |
| Plinplinplon vs Alisa | 8–8 | 50.00% |
| Plinplinplon vs Leroy | 8–6 | 57.14% |
| Plinplinplon vs Clive | 10–4 | 71.43% |
| Plinplinplon vs Feng | 10–3 | 76.92% |
| Plinplinplon vs Leo | 6–5 | 54.55% |
| Plinplinplon vs Lars | 6–5 | 54.55% |
| Plinplinplon vs Lidia | 8–3 | 72.73% |
| Plinplinplon vs Armor King | 2–9 | 18.18% |
| Plinplinplon vs Raven | 5–4 | 55.56% |
| Plinplinplon vs Asuka | 5–3 | 62.50% |
| Plinplinplon vs Claudio | 4–4 | 50.00% |
| Plinplinplon vs Nina | 4–4 | 50.00% |
| Plinplinplon vs Eddy | 5–3 | 62.50% |
| Plinplinplon vs Azucena | 1–6 | 14.29% |
| Plinplinplon vs Jack-8 | 2–4 | 33.33% |
| Plinplinplon vs Fahkumram | 4–2 | 66.67% |
| Plinplinplon vs Xiaoyu | 1–4 | 20.00% |
| Plinplinplon vs Kuma | 2–1 | 66.67% |
| Plinplinplon vs Miary Zo | 2–1 | 66.67% |
| Plinplinplon vs Anna | 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.