LoL Champion Synergies

Explore League of Legends champion synergies, role-filtered duo data, observed win rates, expected win rates, sample sizes, and patch-specific team comp context.

Updated 2026-09-20. Data is current for LoL patch 26.18 (all regions, low elo and high elo).

How these matchup statistics are calculated

Counter and synergy statistics use Ranked Solo/Duo games, exclude matches shorter than 600 seconds, and group results by patch window, region, rank scope, and champion role.

Pairwise pages use a rolling three-patch window and compare observed win rate with a log-odds expected win rate based on each champion's role-adjusted baseline; listed pairs require at least 500 games.

Read the full methodology for the model and guidance on interpreting these results.

Summary

RiftMind's League of Legends synergies page highlights allied champion-role pairs that perform better or worse than expected after accounting for each champion's usual role strength. In Low Elo, notable all-role synergy examples include Gragas Top pairs well with Talon Jungle, Katarina ADC pairs well with Yuumi Support, Brand Mid pairs well with Briar Jungle, Kassadin Mid pairs well with Xayah ADC, Shen Support pairs well with Lux Mid, Kog'Maw ADC pairs well with Diana Mid, Akshan Mid pairs well with Smolder ADC, Veigar ADC pairs well with Trundle Top, Karma Support pairs well with Syndra ADC, and Lucian ADC pairs well with Yuumi Support. Use bot-lane rows for ADC and Support duo context, and use all-role rows for broader team composition signals.

Detailed info:

Questions this synergies page answers

  1. Best champion synergies - Use the synergies page to find allied champion-role pairs that win more often than expected from their individual role baselines.
  2. Weak champion synergies - Reverse the sort direction to find allied pairs that underperform expectation in the current patch and rank-scope data.
  3. Bot-lane duo context - ADC and Support synergy rows are useful for duo queue and draft planning because the roles interact directly throughout lane phase.
  4. Team-comp context - All-role synergies can reveal teamfight, engage, peel, scaling, and damage-profile combinations that matter beyond lane pairing.

Top 10 Low Elo weakest bot-lane duo synergies

  1. Camille Support + Aphelios ADC - Low Elo data: Camille Support with Aphelios ADC, 39.2% observed win rate, -6.1 percentage points vs expected, 526 games, 3-patch window 26.16-26.18.
  2. Lulu Support + Samira ADC - Low Elo data: Lulu Support with Samira ADC, 43.7% observed win rate, -6.0 percentage points vs expected, 980 games, 3-patch window 26.16-26.18.
  3. Soraka Support + Samira ADC - Low Elo data: Soraka Support with Samira ADC, 45.2% observed win rate, -5.9 percentage points vs expected, 938 games, 3-patch window 26.16-26.18.
  4. Pantheon Support + Aphelios ADC - Low Elo data: Pantheon Support with Aphelios ADC, 42.9% observed win rate, -5.7 percentage points vs expected, 1,176 games, 3-patch window 26.16-26.18.
  5. Tahm Kench Support + Samira ADC - Low Elo data: Tahm Kench Support with Samira ADC, 43.4% observed win rate, -5.5 percentage points vs expected, 1,531 games, 3-patch window 26.16-26.18.
  6. Brand Support + Syndra ADC - Low Elo data: Brand Support with Syndra ADC, 44.6% observed win rate, -5.4 percentage points vs expected, 601 games, 3-patch window 26.16-26.18.
  7. Lulu Support + Jhin ADC - Low Elo data: Lulu Support with Jhin ADC, 44.5% observed win rate, -5.2 percentage points vs expected, 3,186 games, 3-patch window 26.16-26.18.
  8. Lulu Support + Lucian ADC - Low Elo data: Lulu Support with Lucian ADC, 42.5% observed win rate, -5.2 percentage points vs expected, 2,092 games, 3-patch window 26.16-26.18.
  9. Poppy Support + Xayah ADC - Low Elo data: Poppy Support with Xayah ADC, 46.8% observed win rate, -5.1 percentage points vs expected, 643 games, 3-patch window 26.16-26.18.
  10. Shen Support + Lucian ADC - Low Elo data: Shen Support with Lucian ADC, 43.2% observed win rate, -4.6 percentage points vs expected, 528 games, 3-patch window 26.16-26.18.

Top 10 Low Elo all-role champion synergies

  1. Gragas Top + Talon Jungle - Low Elo data: Gragas Top with Talon Jungle, 56.3% observed win rate, +8.3 percentage points vs expected, 544 games, 3-patch window 26.16-26.18.
  2. Katarina ADC + Yuumi Support - Low Elo data: Katarina ADC with Yuumi Support, 58.9% observed win rate, +7.8 percentage points vs expected, 1,577 games, 3-patch window 26.16-26.18.
  3. Brand Mid + Briar Jungle - Low Elo data: Brand Mid with Briar Jungle, 60.4% observed win rate, +7.2 percentage points vs expected, 561 games, 3-patch window 26.16-26.18.
  4. Kassadin Mid + Xayah ADC - Low Elo data: Kassadin Mid with Xayah ADC, 58.1% observed win rate, +6.9 percentage points vs expected, 675 games, 3-patch window 26.16-26.18.
  5. Shen Support + Lux Mid - Low Elo data: Shen Support with Lux Mid, 58.8% observed win rate, +6.7 percentage points vs expected, 565 games, 3-patch window 26.16-26.18.
  6. Kog'Maw ADC + Diana Mid - Low Elo data: Kog'Maw ADC with Diana Mid, 60.6% observed win rate, +6.6 percentage points vs expected, 525 games, 3-patch window 26.16-26.18.
  7. Akshan Mid + Smolder ADC - Low Elo data: Akshan Mid with Smolder ADC, 56.3% observed win rate, +6.4 percentage points vs expected, 623 games, 3-patch window 26.16-26.18.
  8. Veigar ADC + Trundle Top - Low Elo data: Veigar ADC with Trundle Top, 58.6% observed win rate, +6.4 percentage points vs expected, 522 games, 3-patch window 26.16-26.18.
  9. Karma Support + Syndra ADC - Low Elo data: Karma Support with Syndra ADC, 54.7% observed win rate, +6.3 percentage points vs expected, 537 games, 3-patch window 26.16-26.18.
  10. Lucian ADC + Yuumi Support - Low Elo data: Lucian ADC with Yuumi Support, 52.2% observed win rate, +6.2 percentage points vs expected, 3,714 games, 3-patch window 26.16-26.18.

Synergy data fields on RiftMind

  1. Observed duo win rate - The actual win rate when the two allied champion-role picks appear together after RiftMind filters by patch, region, rank scope, and minimum sample.
  2. Expected win rate - A log-odds baseline that estimates how often the pair should win from both champions' individual role-adjusted strengths.
  3. Delta - Observed win rate minus expected win rate in percentage points. For synergies, more positive deltas indicate stronger-than-expected allied pairs.
  4. Games - The ranked sample behind the pair. Sample size should be checked before treating any synergy as a stable draft rule.

How to read RiftMind synergy data

  1. Synergy ranking method - Strong synergies sort by expected-win-rate delta descending, so the top entries are allied pairs that outperform their individual role baselines.
  2. Weak synergy interpretation - Weak synergy rows are not always impossible drafts; they identify allied pairs that underperform expectation in the current filtered data.
  3. How to validate a duo or team-comp pair - Check allied roles, rank scope, patch window, and sample size. Public generated summaries use at least 500 games per listed pair.