Top Lane Two-Trick Finder
Identify the optimal secondary champion to cover your main's weaknesses. Select your OTP below to generate a matchup coverage list based on statistical winrate data.
Best Pairs for
Based on Matchup Coverage| Rank | Partner Champion | Score |
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How it works
Note: This score is a robust heuristic designed to capture overall matchup coverage. It should not be interpreted as a probability or expected winrate.
Casual explanation. For each enemy pick, the system looks at how the main and the partner usually perform into that matchup (clearly losing / roughly even / clearly winning), and how often that enemy actually shows up. For that enemy, it keeps the better of the two options (main or partner), weighted by how common the matchup is. Doing this across all enemy champions gives a single score that reflects how well this duo performs into the overall field of opponents.
Precise explanation. Let enemies be indexed by \(i = 1,\dots,N\). For main \(m\) and partner \(p\), let \(\Delta_m(i), \Delta_p(i)\) be their winrate deltas vs enemy \(i\), and define ordinal scores \(w_m(i), w_p(i) \in \{-1,0,1\}\) via a thresholding map \(\text{scale}(\Delta)\). Let \(n_m(i), n_p(i)\) be match counts and \(p_m(i) = n_m(i)/\sum_j n_m(j)\), \(p_p(i) = n_p(i)/\sum_j n_p(j)\) the corresponding matchup frequencies. The weighted scores are \(v_m(i) = w_m(i)\,p_m(i)\), \(v_p(i) = w_p(i)\,p_p(i)\), and the coverage score is \[ S(m,p) = \sum_{i=1}^N \max\{v_m(i),\, v_p(i)\}, \] i.e. the sum over enemies of the better of the two weighted outcomes.