2026-04-14 Scenario Analysis D/E/M/A v2.1 Horizon: 2 days Status: Scored

Hungary 2026 Election — Retrotrack

ElectionsEuropeResolvedL2 · 55%

TISZA won Hungary's April 12, 2026 parliamentary election with 137 seats (preliminary results, 98% of votes are currently counted) — a constitutional supermajority. Our forecast: 62% TISZA win probability. Brier score: 0.144 — in superforecaster range. Direction correct, slightly underconfident.

Hungary 2026 retrotrack spider chart showing D/E/M/A metrics and scoring

Result

PartySeatsVote %Result
TISZA (Peter Magyar)13752.44%Supermajority
Fidesz-KDNP (Viktor Orban)5639.15%Lost
Mi Hazank65.77%

Turnout: 79.55% (record high). Majority threshold: 100 seats. Supermajority (2/3): 133 seats. TISZA exceeded both.

Predicted vs Actual

ScenarioPredictedActual
TISZA Majority (100+ seats)32%HIT (137 seats, supermajority)
TISZA Narrow (85-99 seats)30%
Fidesz Holds (85+ seats)28%
Hung Parliament8%
Fidesz Landslide (110+)2%

Direction call: TISZA wins 62% vs Fidesz wins 30% → Correct. TISZA won decisively.

Scoring

MetricValueAssessment
Brier Score0.144Superforecaster range (<0.20)
Log Loss0.478Good
DirectionCorrectTISZA favored, TISZA won
CalibrationUnderconfident62% vs ~70% market
Hit Rate100%1/1 direction calls

What We Got Right

Direction: TISZA favored to win — correct
Unified opposition: Identified as key structural change vs 2022
No rally effect: Correctly assessed no external shock to benefit Fidesz
Economic factor: Discontent driving change
High turnout: Predicted >70% favors opposition — actual 79.55%

What We Got Wrong

Margin: Underestimated TISZA strength — got supermajority (137), not just majority
2022 anchoring: Overweighted polling error risk from previous election
Fidesz resilience: Historical pattern (never lost since 2010) didn't apply to new structural context
Market deviation: We were 62%, markets were ~70% — no specific edge justified deviation

Lessons Learned

1. Market Calibration Check

When deviating from market consensus, ask: "What's my specific edge?"

Applied: Integrated

2. Structural Changes

Unified opposition vs fragmented is a structural change, not noise. Weight it appropriately in base rates.

Applied: Integrated

3. Base Rate Selection

2022 polling error was context-specific (war shock + fragmented opposition), not a general Hungarian election base rate.

Applied: Integrated

Resolution Tracking

PredictionDeadlineOur CallOutcomeCorrect?
TISZA wins (majority or plurality)Apr 1262%TISZA 137 seatsYes
Fidesz retains powerApr 1230%Lost (56 seats)Correct
TISZA wins outright majority (100+)Apr 1232%137 seatsYes
Turnout exceeds 70%Apr 1255%79.55%Yes

Verdict

Direction correct. Brier 0.144 is strong. We correctly identified TISZA as favorite and the structural factors favoring change: unified opposition, no war shock, economic discontent, high turnout.

We were underconfident because we anchored on 2022 polling errors without specific edge over market consensus. TISZA's victory was even more decisive than our most optimistic scenario — they achieved a constitutional supermajority, ending 16 years of Fidesz rule.

These lessons have been integrated into our methodology.

Original prediction (April 10, 2026)
politpro.eu — Election results
Budapest Business Journal (April 12, 2026) — Magyar wins in landslide

Frequently Asked Questions

What was the outcome of Hungary's 2026 election?

TISZA (Peter Magyar) won with 137 seats — a constitutional supermajority (2/3). Fidesz got 56 seats, Mi Hazank 6. Turnout was 79.55%, a record.

How accurate was the ScenarioAtlas prediction?

Brier score 0.144 — in superforecaster range (<0.20). Direction correct. We were slightly underconfident (62% vs ~70% market consensus).

What lessons were learned from this prediction?

Three key lessons: (1) Add market calibration check when deviating from consensus, (2) Weight structural changes appropriately, (3) 2022 polling error was context-specific, not a general base rate.

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Domains of interest

Every prediction scored. Every miss published.

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Last reviewed: 2026-04-14 · Published: 2026-04-14 · Scenario Atlas AI · Methodology