Olaf LoL Stats, Builds, Counters and Synergies
RiftMind tracks Olaf 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).
Olaf role performance snapshot
- Olaf Top stats - Olaf Top has 49.5% win rate, 2.7% pick rate, and 28,822 ranked games in the current RiftMind data set. Win rate changed +0.3 percentage points from the comparison patch. Pick rate changed +0.3 percentage points from the comparison patch.
- Olaf Jungle stats - Olaf Jungle has 49.8% win rate, 0.4% pick rate, and 3,879 ranked games in the current RiftMind data set. Win rate changed +0.5 percentage points from the comparison patch. Pick rate changed -0.0 percentage points from the comparison patch.
Top 5 Low Elo Olaf counter matchups
- Sett Top - Low Elo data: Olaf Top vs Sett Top, 45.0% observed win rate, -3.0 percentage points vs expected, 3,188 games, 3-patch window 26.20-26.22.
- Trundle Top - Low Elo data: Olaf Top vs Trundle Top, 46.7% observed win rate, -3.0 percentage points vs expected, 1,915 games, 3-patch window 26.20-26.22.
- Darius Top - Low Elo data: Olaf Top vs Darius Top, 46.9% observed win rate, -2.7 percentage points vs expected, 3,248 games, 3-patch window 26.20-26.22.
- K'Sante Top - Low Elo data: Olaf Top vs K'Sante Top, 51.3% observed win rate, -2.3 percentage points vs expected, 1,330 games, 3-patch window 26.20-26.22.
- Jax Top - Low Elo data: Olaf Top vs Jax Top, 47.5% observed win rate, -2.2 percentage points vs expected, 3,066 games, 3-patch window 26.20-26.22.
Top 5 Low Elo champions Olaf is good against
- Teemo Top - Low Elo data: Olaf Top vs Teemo Top, 53.0% observed win rate, +4.3 percentage points vs expected, 4,483 games, 3-patch window 26.20-26.22.
- Yasuo Top - Low Elo data: Olaf Top vs Yasuo Top, 54.7% observed win rate, +3.0 percentage points vs expected, 1,238 games, 3-patch window 26.20-26.22.
- Jayce Top - Low Elo data: Olaf Top vs Jayce Top, 54.4% observed win rate, +2.0 percentage points vs expected, 1,807 games, 3-patch window 26.20-26.22.
- Nasus Top - Low Elo data: Olaf Top vs Nasus Top, 51.2% observed win rate, +1.9 percentage points vs expected, 2,201 games, 3-patch window 26.20-26.22.
- Twisted Fate Mid - Low Elo data: Olaf Top vs Twisted Fate Mid, 54.0% observed win rate, +1.9 percentage points vs expected, 1,788 games, 3-patch window 26.20-26.22.
Top 5 Low Elo Olaf strongest synergies
- Syndra Mid - 51.9% win rate with Olaf Top (+0.6 points vs expected), 3,146 games.
- Malzahar Mid - 51.9% win rate with Olaf Top (+0.6 points vs expected), 3,418 games.
- Mel Mid - 47.5% win rate with Olaf Top (+0.5 points vs expected), 1,494 games.
- Vex Mid - 51.3% win rate with Olaf Top (+0.5 points vs expected), 1,861 games.
- Lissandra Mid - 51.2% win rate with Olaf Top (+0.4 points vs expected), 1,924 games.
Top 5 Low Elo Olaf weakest synergies
- Yasuo Mid - 48.2% win rate with Olaf Top (-1.2 points vs expected), 3,800 games.
- Yone Mid - 49.6% win rate with Olaf Top (-0.9 points vs expected), 3,941 games.
- Irelia Mid - 48.0% win rate with Olaf Top (-0.8 points vs expected), 1,150 games.
- Zed Mid - 48.8% win rate with Olaf Top (-0.7 points vs expected), 2,970 games.
- Briar Jungle - 49.1% win rate with Olaf Top (-0.6 points vs expected), 2,435 games.
Top 5 High Elo Olaf counter matchups
- Akali Top - High Elo data: Olaf Top vs Akali Top, 47.5% observed win rate, -2.5 percentage points vs expected, 1,485 games, 3-patch window 26.20-26.22.
- Fiora Top - High Elo data: Olaf Top vs Fiora Top, 46.8% observed win rate, -2.1 percentage points vs expected, 1,870 games, 3-patch window 26.20-26.22.
- Garen Top - High Elo data: Olaf Top vs Garen Top, 48.1% observed win rate, -2.0 percentage points vs expected, 1,697 games, 3-patch window 26.20-26.22.
- Katarina Mid - High Elo data: Olaf Top vs Katarina Mid, 46.6% observed win rate, -1.9 percentage points vs expected, 2,062 games, 3-patch window 26.20-26.22.
- Camille Top - High Elo data: Olaf Top vs Camille Top, 47.0% observed win rate, -1.8 percentage points vs expected, 2,670 games, 3-patch window 26.20-26.22.
Top 5 High Elo champions Olaf is good against
- Sylas Mid - High Elo data: Olaf Top vs Sylas Mid, 53.6% observed win rate, +2.1 percentage points vs expected, 2,743 games, 3-patch window 26.20-26.22.
- Sion Top - High Elo data: Olaf Top vs Sion Top, 53.1% observed win rate, +2.0 percentage points vs expected, 1,124 games, 3-patch window 26.20-26.22.
- Ashe ADC - High Elo data: Olaf Top vs Ashe ADC, 54.9% observed win rate, +1.9 percentage points vs expected, 2,491 games, 3-patch window 26.20-26.22.
- Ornn Top - High Elo data: Olaf Top vs Ornn Top, 52.0% observed win rate, +1.8 percentage points vs expected, 1,397 games, 3-patch window 26.20-26.22.
- Malphite Top - High Elo data: Olaf Top vs Malphite Top, 51.1% observed win rate, +1.8 percentage points vs expected, 1,708 games, 3-patch window 26.20-26.22.
Top 5 High Elo Olaf strongest synergies
- Syndra Mid - 50.9% win rate with Olaf Top (+0.7 points vs expected), 3,686 games.
- Orianna Mid - 51.5% win rate with Olaf Top (+0.6 points vs expected), 2,054 games.
- Varus ADC - 52.3% win rate with Olaf Top (+0.5 points vs expected), 1,325 games.
- LeBlanc Mid - 53.7% win rate with Olaf Top (+0.4 points vs expected), 2,343 games.
- Ezreal ADC - 48.1% win rate with Olaf Top (+0.4 points vs expected), 5,309 games.
Top 5 High Elo Olaf weakest synergies
- Yasuo Mid - 48.7% win rate with Olaf Top (-0.7 points vs expected), 2,413 games.
- Tristana ADC - 49.3% win rate with Olaf Top (-0.6 points vs expected), 3,040 games.
- Yone Mid - 50.7% win rate with Olaf Top (-0.6 points vs expected), 2,487 games.
- Zed Mid - 49.7% win rate with Olaf Top (-0.6 points vs expected), 2,460 games.
- Sivir ADC - 50.2% win rate with Olaf Top (-0.4 points vs expected), 1,651 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.