Nilah LoL Stats, Builds, Counters and Synergies
RiftMind tracks Nilah champion stats by role, including win rate, pick rate, builds, counters, matchups, and synergies for League of Legends draft analysis.
Updated 2026-11-15. Data is current for LoL patch 26.22 (all regions, low elo and high elo).
Nilah role performance snapshot
- Nilah ADC stats - Nilah ADC has 51.6% win rate, 1.0% pick rate, and 10,741 ranked games in the current RiftMind data set. Win rate changed -1.6 percentage points from the comparison patch. Pick rate changed -0.1 percentage points from the comparison patch.
Top 5 Low Elo Nilah counter matchups
- Lulu Support - Low Elo data: Nilah ADC vs Lulu Support, 49.4% observed win rate, -2.7 percentage points vs expected, 1,643 games, 3-patch window 26.20-26.22.
- Xayah ADC - Low Elo data: Nilah ADC vs Xayah ADC, 44.1% observed win rate, -2.7 percentage points vs expected, 1,160 games, 3-patch window 26.20-26.22.
- Veigar Mid - Low Elo data: Nilah ADC vs Veigar Mid, 47.9% observed win rate, -1.9 percentage points vs expected, 1,116 games, 3-patch window 26.20-26.22.
- Malzahar Mid - Low Elo data: Nilah ADC vs Malzahar Mid, 49.3% observed win rate, -1.7 percentage points vs expected, 1,448 games, 3-patch window 26.20-26.22.
- Seraphine Support - Low Elo data: Nilah ADC vs Seraphine Support, 48.8% observed win rate, -1.3 percentage points vs expected, 1,673 games, 3-patch window 26.20-26.22.
Top 5 Low Elo champions Nilah is good against
- Yasuo Mid - Low Elo data: Nilah ADC vs Yasuo Mid, 56.8% observed win rate, +2.4 percentage points vs expected, 2,361 games, 3-patch window 26.20-26.22.
- Nocturne Jungle - Low Elo data: Nilah ADC vs Nocturne Jungle, 56.3% observed win rate, +2.3 percentage points vs expected, 1,054 games, 3-patch window 26.20-26.22.
- Nautilus Support - Low Elo data: Nilah ADC vs Nautilus Support, 55.4% observed win rate, +2.1 percentage points vs expected, 2,161 games, 3-patch window 26.20-26.22.
- Master Yi Jungle - Low Elo data: Nilah ADC vs Master Yi Jungle, 56.0% observed win rate, +2.1 percentage points vs expected, 2,040 games, 3-patch window 26.20-26.22.
- Twitch ADC - Low Elo data: Nilah ADC vs Twitch ADC, 54.9% observed win rate, +1.6 percentage points vs expected, 1,485 games, 3-patch window 26.20-26.22.
Top 5 Low Elo Nilah strongest synergies
- Yuumi Support - 53.1% win rate with Nilah ADC (+1.5 points vs expected), 2,635 games.
- Syndra Mid - 52.1% win rate with Nilah ADC (+0.8 points vs expected), 1,253 games.
- Viktor Mid - 54.0% win rate with Nilah ADC (+0.6 points vs expected), 1,105 games.
- Veigar Mid - 54.0% win rate with Nilah ADC (+0.6 points vs expected), 1,212 games.
- Lux Support - 54.1% win rate with Nilah ADC (+0.5 points vs expected), 1,650 games.
Top 5 Low Elo Nilah weakest synergies
- Yasuo Mid - 50.9% win rate with Nilah ADC (-1.4 points vs expected), 2,043 games.
- Yone Mid - 51.8% win rate with Nilah ADC (-1.1 points vs expected), 1,721 games.
- Master Yi Jungle - 53.3% win rate with Nilah ADC (-1.0 points vs expected), 1,706 games.
- Viego Jungle - 51.2% win rate with Nilah ADC (-0.9 points vs expected), 1,551 games.
- Zed Mid - 51.2% win rate with Nilah ADC (-0.7 points vs expected), 1,347 games.
Top 5 High Elo Nilah counter matchups
- Lulu Support - High Elo data: Nilah ADC vs Lulu Support, 48.2% observed win rate, -2.4 percentage points vs expected, 1,689 games, 3-patch window 26.20-26.22.
- Syndra Mid - High Elo data: Nilah ADC vs Syndra Mid, 48.3% observed win rate, -0.6 percentage points vs expected, 1,006 games, 3-patch window 26.20-26.22.
- Jinx ADC - High Elo data: Nilah ADC vs Jinx ADC, 49.6% observed win rate, -0.5 percentage points vs expected, 1,261 games, 3-patch window 26.20-26.22.
- Nami Support - High Elo data: Nilah ADC vs Nami Support, 50.9% observed win rate, -0.4 percentage points vs expected, 1,139 games, 3-patch window 26.20-26.22.
- Ahri Mid - High Elo data: Nilah ADC vs Ahri Mid, 48.2% observed win rate, -0.4 percentage points vs expected, 1,109 games, 3-patch window 26.20-26.22.
Top 5 High Elo champions Nilah is good against
- Nautilus Support - High Elo data: Nilah ADC vs Nautilus Support, 54.8% observed win rate, +1.8 percentage points vs expected, 1,362 games, 3-patch window 26.20-26.22.
- Kai'Sa ADC - High Elo data: Nilah ADC vs Kai'Sa ADC, 53.6% observed win rate, +1.2 percentage points vs expected, 2,881 games, 3-patch window 26.20-26.22.
- Leona Support - High Elo data: Nilah ADC vs Leona Support, 51.9% observed win rate, +0.9 percentage points vs expected, 1,001 games, 3-patch window 26.20-26.22.
- Yasuo Mid - High Elo data: Nilah ADC vs Yasuo Mid, 54.3% observed win rate, +0.6 percentage points vs expected, 1,298 games, 3-patch window 26.20-26.22.
- Alistar Support - High Elo data: Nilah ADC vs Alistar Support, 48.6% observed win rate, +0.4 percentage points vs expected, 1,061 games, 3-patch window 26.20-26.22.
Top 5 High Elo Nilah strongest synergies
- Nautilus Support - 53.2% win rate with Nilah ADC (+1.4 points vs expected), 1,204 games.
- Thresh Support - 55.0% win rate with Nilah ADC (+0.8 points vs expected), 1,650 games.
- Syndra Mid - 49.4% win rate with Nilah ADC (+0.2 points vs expected), 1,040 games.
- Ahri Mid - 54.5% win rate with Nilah ADC (+0.2 points vs expected), 1,211 games.
- Qiyana Jungle - 48.5% win rate with Nilah ADC (+0.1 points vs expected), 1,030 games.
Top 5 High Elo Nilah weakest synergies
- Soraka Support - 49.3% win rate with Nilah ADC (-1.8 points vs expected), 1,528 games.
- Nami Support - 49.0% win rate with Nilah ADC (-1.2 points vs expected), 1,001 games.
- Yasuo Mid - 51.4% win rate with Nilah ADC (-0.5 points vs expected), 1,036 games.
- Yuumi Support - 48.6% win rate with Nilah ADC (-0.5 points vs expected), 2,357 games.
- Lulu Support - 52.2% win rate with Nilah ADC (-0.1 points vs expected), 1,145 games.
How RiftMind calculates these stats
RiftMind calculates these statistics from Ranked Solo/Duo match records filtered by patch, region, rank scope, champion, and role.
Champion role, build, rune, and item summaries use patch-specific aggregates, while counter and synergy pages compare observed results with role-adjusted expectations over a rolling patch window.
Read the full methodology for the data filters and interpretation guidance.