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Sarnia—Lambton—Bkejwanong — Election Outlook & Projection

Ontario Likely Conservative Margin: 7pts Win probability: 87% (CPC) Last updated: 2026-09-14 Open in the interactive dashboard →

Where this riding stands

The RidingWatch model currently projects the Conservatives at 47% in Sarnia—Lambton—Bkejwanong, 7 points ahead of the Liberals at 40%, with the NDP at 11%, the Greens at 2%. Across 10,000 simulations the seat goes to the Conservatives in 87% of them, the Liberals in 13%. The simulations put the Conservatives' share anywhere from 41% to 53%, and the Liberals' from 34% to 46%.

In April 2025 the Conservatives won here with 53%, 15 points ahead of the Liberals. The Conservatives also held it in 2021. Compared with the 2025 result, the current projection has the Conservatives down 6, the NDP up 6, the Liberals up 2 points. These shifts come from the national polling swing applied to this riding's past results — not from riding-level polling, which the model does not have.

The sitting member is Marilyn Gladu (Liberal), MP since 2015. Elected under the Conservative banner in 2025, they now sit with the Liberal caucus.

Rating: Likely Conservative — the Conservatives are ahead in most simulations. In practical terms, the Conservatives are ahead in most simulations, but the Liberals win in 13% of them — the outcome is probable, not fixed. Within 10 points of the lead: the Liberals (40%). Every vote counts toward a party's national total regardless of the local outcome. The Strategic Voting Assistant below shows how these standings look for a specific goal, including simply voting for your first choice.

Sitting member

MG
Marilyn Gladu
Liberal (crossed the floor)
MP since 2015

About this riding

Located in southwestern Ontario along Lake Huron, this riding encompasses Sarnia, Lambton County, and Bkejwanong (Aamjiwnaang First Nation territory). Sarnia is a chemical and petrochemical centre along the St. Clair River. The landscape includes the Great Lakes shoreline, industrial areas, and rural communities. The local economy is centred on chemical and petrochemical manufacturing. The area has significant industrial heritage and environmental complexity. Population is concentrated in Sarnia with dispersed rural communities.

Projected Vote Share — Next Federal Election

Liberal
40%
+2
Conservative
47%
-6
NDP
11%
+6
Green
2%
+2

Projected using a blended proportional-uniform swing model with incumbency adjustments. Based on the current national polling average and regional crosstabs as of 2026-09-14.

Vote-share trend

0%15%30%45%60%19%38%40%46%53%47%21%5%11%1%0%2%2021 result2025 resultProjection

2021 and 2025 are official results for this riding; the third point is the current model projection. No estimated historical points are shown.

2025 Election Results vs. Current Projection

Party2025 Vote %Projected %Change
Liberal38%40%+2
Conservative53%47%-6
NDP5%11%+6
Green0%2%+2

Strategic Voting Assistant

Reasoning uses the current projected shares for this riding. Viability = within 10 points of the leader or at least 15%.

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About the Model

This projection is generated by the RidingWatch statistical model, which combines national polling data with historical election results to estimate vote shares and likely outcomes in each of Canada's 343 federal ridings.

The model begins with a weighted blend of results from the 2025 and 2021 federal elections, then applies the polling swing to each riding using a mostly-uniform (90/10 uniform/proportional) swing method — the national swing, adjusted by the province's pooled deviation where pollsters publish regional crosstabs. No pollster house effects are applied. Incumbency is not assumed: only first-term MPs (+1) and party leaders (+2) receive an adjustment. Uncertainty is estimated through 10,000 Monte Carlo simulations with correlated regional errors.

Projections are updated as new polling data becomes available. All estimates are probabilistic — they represent the most likely outcome given current information, not a guarantee of any result. Actual election outcomes depend on factors the model cannot fully capture, including local campaigns, turnout variation, and late-breaking events.