Presidential Election 2027Probabilities of winning, recalculated every day
Fabien Roussel
Photo: Zouhair NAKARA, CC BY-SA 4.0, Wikimedia Commons

Candidates

Fabien Roussel

PCF — PCF

1st-round score
2.2% 0.6–5.5
Qualifies for the 2nd round
<1%
Comes first in the 1st round
<1%
Wins the election
<1% <1%

Model, not a poll · spread across scenarios · 80% interval · 1 Nov 2026

Profile

Experimental · automatically generated (local model) from Wikipedia and the press — may contain errors.

Fabien Roussel, born in 1969, is a French politician and member of the French Communist Party (PCF), serving as its national secretary since 2018. A former deputy for the Nord department and mayor of Saint-Amand-les-Eaux, he was a candidate in the 2022 presidential election, finishing eighth with 2.28% of the vote. In 2026, his party designated him as its candidate for the 2027 presidential election.

Strengths

  • He holds local legitimacy as the mayor of Saint-Amand-les-Eaux since 2025. Wikipédia
  • He benefits from continuity in his political engagement, having served as the PCF's national secretary since 2018 and as a deputy from 2017 to 2024. Wikipédia
  • He has been officially designated by his party to represent the PCF in the 2027 presidential election. Wikipédia

Weaknesses

  • His score of 2.28% in the 2022 presidential election places his party in a minority position at the national level. Wikipédia
  • According to Frontières, he faces internal or external criticism regarding his positions on national identity, notably through his attacks on Jean-Luc Mélenchon, whom he accuses of 'communitarianism'. Frontières · 30 Oct 2026
  • The provided sources do not detail a specific electoral program for 2027, limiting the analysis of his concrete proposals at this stage. Wikipédia ; Diasporas · 31 Oct 2026 ; Le Figaro · 30 Oct 2026 ; Frontières · 30 Oct 2026 ; TF1+ · 29 Oct 2026

Text from Wikipedia (CC BY-SA 4.0)

Polls and trend

Dots: one first-round poll. Line: model average. Band: 80% interval.

How to read this chart. Each dot is a published poll (pollster, end date of fieldwork); the line joins the average score estimated by the model. Hover over a dot to see the pollster and sample size.

Learn more

Polls from different pollsters are not directly comparable: each has its own method and usual bias, which the model corrects in part. The spread between dots on the same day reflects this diversity as much as statistical uncertainty.

View the figures as a table
DatePollster1st-round scoren =
22 Oct 2026Cluster172.0%3000
22 Oct 2026Cluster172.0%3000
22 Oct 2026Cluster172.0%3000
22 Oct 2026OpinionWay1.0%973
22 Oct 2026Ipsos2.5%1500
22 Oct 2026Ipsos2.5%1500
22 Oct 2026Ipsos2.0%1500
22 Oct 2026Ipsos2.0%1500
21 Oct 2026Harris Interactive2.0%2094
21 Oct 2026Harris Interactive2.0%2094
21 Oct 2026Harris Interactive1.0%2094
21 Oct 2026Harris Interactive2.0%2094

Estimated share and uncertainty fan

Experimental: this block does not feed into the probability of winning. Left of the vertical line: dots are polls, the line is the smoothed median of the estimate, the pale band its 80% interval. Right: the state estimated on the day of the last poll, carried forward 28 days with the same random walk; three nested bands hold 50, 80 and 95% of the draws. It measures the uncertainty of the estimate; it does not announce the vote.

Experimental · does not feed into the probability of winning

Experimental: estimated share of Fabien Roussel and uncertainty fan Last smoothed median: 2.1% on 22 Oct, from 36 polls. Fan at 28 days: 50% of draws between 1.9 and 2.2%, 80% between 1.8 and 2.3%, 95% between 1.7 and 2.5%. 01234 Share of voting intentions (%) 24 Apr17 Aug10 Dec3 Apr27 Jul19 Nov Date 24 Apr · Odoxa · 3.0 %19 May · Harris Interactive · 3.0 %1 Oct · Cluster17 · 3.0 %7 Oct · Harris Interactive · 3.0 %28 May · Ipsos · 3.0 %8 Jul · Ifop · 2.0 %8 Jul · Harris Interactive · 2.0 %9 Jul · OpinionWay · 2.0 %10 Jul · Elabe · 2.5 %24 Jul · Cluster17 · 2.0 %19 Aug · Harris Interactive · 2.0 %25 Aug · Ifop · 3.0 %28 Aug · Elabe · 3.0 %1 Sep · Cluster17 · 2.0 %2 Sep · Ipsos · 2.5 %3 Sep · OpinionWay · 2.0 %9 Sep · OpinionWay · 2.0 %9 Sep · Ipsos · 2.5 %10 Sep · Harris Interactive · 2.0 %10 Sep · OpinionWay · 2.0 %16 Sep · Cluster17 · 2.0 %21 Sep · YouGov · 2.0 %24 Sep · Harris Interactive · 2.0 %29 Sep · Ifop · 2.5 %7 Oct · Odoxa · 2.0 %8 Oct · Harris Interactive · 2.0 %14 Oct · Ifop · 2.5 %14 Oct · OpinionWay · 3.0 %15 Oct · YouGov · 3.0 %15 Oct · Cluster17 · 1.5 %16 Oct · Elabe · 1.5 %19 Oct · Ifop · 3.0 %21 Oct · Harris Interactive · 1.0 %22 Oct · Ipsos · 2.0 %22 Oct · OpinionWay · 1.0 %22 Oct · Cluster17 · 2.0 %
  • Poll
  • Smoothed median
  • 80% interval (past)
  • 50% fan
  • 80% fan
  • 95% fan
  • Carried-forward median
  • last poll

How to read this chart. Horizontal axis: time; vertical axis: the share of voting intentions, in %. Dots are polls, the line is the median of the estimate. After the vertical line the bands widen: the further from the last poll, the less certain the estimate.

Learn more

The three nested bands hold 50, 80 and 95% of the draws of the estimated state, carried forward with the same random walk as the opinion model; they contain neither future polls nor the vote itself. Validation shows this layer's intervals are too narrow: read them as a lower bound on uncertainty. The table under the chart gives the same values as numbers.

View the figures as a table · Fan values
Estimated share in %, by percentile of the draws.
Days after the last pollDatePercentile 2.5Percentile 10Percentile 25Percentile 50Percentile 75Percentile 90Percentile 97.5
022 Oct1.91.92.02.12.12.22.3
729 Oct1.81.92.02.12.22.22.4
145 Nov1.81.91.92.02.22.32.4
2112 Nov1.71.81.92.12.22.32.4
2819 Nov1.71.81.92.12.22.32.5

Probability of winning, day by day

Line: main scenario. Band: spread across poll scenarios (min–max).

Reconstructed curve: the model replayed day by day on the polls already published. Days without a recent poll are missing.

How to read this chart. The line is the candidate's probability of winning over time, the band its uncertainty interval. It is reconstructed day by day on the polls already published.

Learn more

A falling probability does not say the candidate is "losing": it says that, given the known polls, a smaller share of simulations has them winning. The model knows neither manifestos nor events, only the numbers.

Second-round head-to-heads

How to read this table. Each line pits two candidates against each other in the second round. The first table gives the score of head-to-head polls; the second, the share of simulations in which the first named wins.

Learn more

Head-to-head polls test specific pairs on a given date; the model, for its part, simulates all possible pairs from the first round and vote transfers. The two figures can therefore differ without contradicting each other.

Most likely match-ups according to the model

In the press

What newspapers write is not voter support. None of these figures enters the probability.

How to read this table. The list shows recent articles in which the candidate is mentioned, with headline, outlet and date. Each headline links to the original article.

Learn more

The number of mentions measures press attention, not opinion: an article may be favourable, critical or purely factual, and the site does not judge. The outlets tracked cover the whole spectrum; their list is on the "Press" page.

Mentions : 3

What the markets say

How to read this chart. The solid line is the model's probability; the other lines are betting-market quotes. Above the chart is the day's gap.

Learn more

A betting market reflects money stakes, with their biases and liquidity. It is neither a poll nor the truth: it is another source, shown next to the model so that everyone can compare.

Model <1% · Market <1% (manifold) · Gap = — within the noise