2026 forecast

Minnesota Senate forecast

Peggy Flanagan vs Michele Tafoya, an open seat. The model has Flanagan ahead by 8.7 points, winning 94 percent of 10,000 simulated elections.

Likely DModel D +8.7Polls D +5.3Updated October 13, 2026

County simulation

87 counties
D +40R +40Hover a county for the simulated vote

Every simulated outcome

10,000 sims
D +30.4: 1 simulationsD +29.1: 1 simulationsD +27.9: 4 simulationsD +26.6: 2 simulationsD +25.4: 9 simulationsD +24.1: 12 simulationsD +22.9: 19 simulationsD +21.6: 33 simulationsD +20.4: 67 simulationsD +19.1: 133 simulationsD +17.9: 176 simulationsD +16.6: 285 simulationsD +15.4: 428 simulationsD +14.1: 580 simulationsD +12.9: 737 simulationsD +11.6: 822 simulationsD +10.4: 914 simulationsD +9.1: 1024 simulationsD +7.9: 931 simulationsD +6.6: 918 simulationsD +5.4: 778 simulationsD +4.1: 577 simulationsD +2.9: 450 simulationsD +1.6: 317 simulationsD +0.4: 287 simulationsR +0.9: 180 simulationsR +2.1: 104 simulationsR +3.4: 65 simulationsR +4.6: 43 simulationsR +5.9: 39 simulationsR +7.1: 19 simulationsR +8.4: 13 simulationsR +9.6: 9 simulationsR +10.9: 7 simulationsR +12.1: 4 simulationsR +13.4: 2 simulationsR +14.6: 2 simulationsR +15.9: 4 simulationsR +17.1: 0 simulationsR +18.4: 4 simulationsD +31.0R +19.0

80 percent of simulations fall between D +15.2 and D +1.9. Negative margins are Democratic wins.

Polls of the race

Full average
PollsterSampleAgeMargin
OnPoint averageLOWESS Election Day projectionD +5.3
Mason-Dixon for the Star Tribune800 LV6dD +5.1
Morning Consult1,000 RV6dD +3.9
Rasmussen Reports (R)856 LV6dD +4.3
GQR (D)800 LV9dD +8.3
Big Data Poll622 LV13dD +1.9
InsiderAdvantage1,200 LV14dD +1.0
co/efficient (R)833 LV28dD +4.7
KSTP/SurveyUSA654 LV29dR +0.0
Quantus Insights720 LV33dD +5.7
TIPP Insights (R)1,201 LV41dD +1.5
Deep Root Analytics (R)597 RV56dD +6.6
KTSP/SurveyUSA661 LV57dD +5.0

Estimated vote by group

model crosstabs
GroupShareFlanaganTafoya
GenderMen46%47.948.5
Women54%56.540.0
Age18 to 2915%56.140.3
30 to 4423%52.344.1
45 to 6433%49.946.5
65+29%54.042.5
RaceWhite85%48.148.4
Black5%87.59.2
Latino3%68.328.2
Asian and other7%76.319.6
Race and genderWhite men39%42.454.1
White women47%52.843.7
Black men2%86.410.2
Black women3%88.48.3
Latino men2%65.531.0
Latino women2%71.125.4
All other races7%76.319.6