TX · Senate 2026 · Updated Oct 28, 2026, 2:01 a.m. ET
Texas
Rated Lean D
James Talarico wins this seat in 62 in 100 simulations. Call it could easily go either way.
James TalaricoD62 in 100
Ken PaxtonR38 in 100
The race
What this race is about
The numbers on this page come from the model. This section doesn't. It's a short briefing on the contest itself: who is running, what they are arguing about, and where each side's strength lies.
The matchup
State Rep. James Talarico faces Attorney General Ken Paxton. Paxton got here by taking out a 24-year incumbent: he forced Sen. John Cornyn into a May 26 runoff and won it by roughly 27 points after Trump endorsed him in the final week. Talarico, a 37-year-old former middle school teacher and seminary graduate from the Austin area, won his March primary outright over Rep. Jasmine Crockett.
The issues
Cost of living leads, a sharp turn from the culture-war cycle of 2024. Both campaigns rolled out economic plans in August: Talarico on child care, medical debt, and the minimum wage, Paxton on a large tax deduction for medical expenses. Paxton's baggage is the other pillar of the race. His 2023 impeachment (he was acquitted), his old securities-fraud case, and a public divorce filed on grounds of adultery all feature heavily in Democratic ads.
Who has the edge, and where
Most July and August polls put Talarico ahead by 2 to 5 points, with one outlier showing Paxton up 1. The money is lopsided: about $72 million raised for Talarico against under $17 million for Paxton, and Talarico has had the airwaves nearly to himself. Cook moved the race to Toss-up on August 20. History is Paxton's best asset. No Democrat has won a Texas Senate race since 1988.
The environment
A midterm under an unpopular president of the incumbent party is exactly when a red state gets loose. Democrats lead the generic ballot by mid single digits and Trump's approval sits in the high 30s. Texas is competitive mostly because the GOP nominated its most scandal-worn statewide figure into that wind.
Written by hand, not by the model. As of August 27, 2026.
Over time
How the forecast has moved
The margin
How close it lands
Each simulation produces a final margin. The curve shows where those margins fall; the tinted areas on either side of even are the futures each party wins.
Under the hood
What's driving the number
The forecast blends a weighted poll average with a fundamentals model: the state's partisan lean, incumbency, the national environment, and fundraising. Positive points favor the Democratic side of the margin; negative favor the Republican side.
- Partisan leanR +11.7
- IncumbencyEven
- National environmentD +4.7
- FundraisingD +1.2
- Fundamentals sayR +5.8
- The polls sayD +2.7
- Blended forecast marginD +2.1
The blend puts 93 percent of its weight on the polls and 7 percent on the fundamentals; polls take over as more arrive and election day nears.
The field
How other forecasters see this race
Ours isn't the only model on this race. Where another forecaster publishes a number — or we've copied one in by hand from a paywalled model — it appears here beside ours, dated, because models update on their own schedules. Forecasts disagree for knowable reasons: different poll filters, different weights on the fundamentals, different priors.
- James Talarico winsThis forecast62 in 100
- James Talarico winsRametta & Hare · as of Oct 2761 in 100
No model is "right" before the votes are counted. How our number is made — and how it scored against 2012–2024 races — is on the methodology page.
The markets
What the betting markets say
Prediction markets put a price on this seat too: what people are paying for a contract that pays out if James Talarico wins, read as an implied probability. Shown for comparison only. This is not betting advice, and market prices never feed the model.
- James Talarico winsThis forecast62 in 100
- James Talarico winsKalshi66 in 100
- James Talarico winsPolymarket68 in 100
Market prices as of Oct 28, 2026, 2:00 a.m. ET
The evidence
The polls, as the model sees them
Every public poll of this race, with the weight the model gave it in the latest run. Weights reward recency, sample size, and pollster track record; the house adjustment corrects each pollster's habitual lean before averaging.
| Poll | Dates | Sample | D–R | Margin | House adj. | Weight |
|---|---|---|---|---|---|---|
| Univision / YouGov | Oct 13–21 | 1,000 RV | 50–45 | D +5.0 | +0.1 | 5% |
| Rasmussen Reports | Oct 20–21 | 965 LV | 45–45 | Even | −0.6 | 6% |
| ActiVote | Oct 17–21 | 400 LV | 51–49 | D +2.0 | +0.1 | 4% |
| Verasight/VoteHub | Oct 1–20 | 517 RV | 43–41 | D +2.0 | — | 2% |
| Verasight/VoteHub | Oct 1–20 | 509 LV | 46–41 | D +5.0 | — | 1% |
| Emerson College | Oct 17–19 | 1,000 LV | 48–46 | D +2.0 | +0.9 | 10% |
| Beacon Research (D)/ Shaw & Co. Research (R) | Oct 15–19 | 2,011 RV | 52–46 | D +6.0 | +1.1 | 11% |
| Beacon Research (D)/ Shaw & Co. Research (R) | Oct 15–19 | 1,398 LV | 49–49 | Even | +1.1 | 5% |
| Pollfinity Research | Oct 15–18 | 278 RV | 48–43 | D +5.0 | +0.1 | 2% |
| Texas Public Opinion Research (D) | Oct 15–18 | 969 LV | 51–47 | D +4.0 | +0.1 | 5% |
| CBS News / YouGov | Oct 8–16 | 1,492 LV | 51–49 | D +2.0 | −0.1 | 4% |
| University of Houston | Oct 10–14 | 2,000 LV | 48–46 | D +2.0 | −0.1 | 5% |
| InsiderAdvantage | Oct 13–14 | 1,200 LV | 48–49 | R +1.0 | −0.4 | 6% |
| ActiVote | Sep 30–Oct 14 | 400 LV | 52–48 | D +4.0 | +0.1 | <1% |
| GS Strategy Group (R)/ New River Strategies (D) | Oct 9–13 | 934 LV | 49–44 | D +5.0 | +0.2 | 3% |
| Marist University | Oct 8–11 | 1,196 RV | 48–44 | D +4.0 | +0.9 | 3% |
| Marist University | Oct 8–11 | — | 47–45 | D +2.0 | +0.9 | <1% |
| Quantus Insights | Oct 9–11 | 854 LV | 47–47 | Even | −0.4 | 3% |
| ReconMR/ Siena University | Oct 5–8 | 617 LV | 48–44 | D +4.0 | — | 2% |
| Trafalgar Group (R) | Oct 6–8 | 1,086 LV | 47–44 | D +3.0 | −1.7 | 1% |
| University of Texas /Texas Politics Project | Sep 25–Oct 5 | 861 LV | 50–47 | D +3.0 | — | 1% |
| YouGov | Sep 28–Oct 5 | 3,625 LV | 50–44 | D +6.0 | +1.5 | 6% |
| New York Times / Siena University | Sep 21–30 | 615 LV | 51–45 | D +6.0 | — | <1% |
| Rasmussen Reports | Sep 28–29 | 1,128 LV | 46–45 | D +1.0 | −0.6 | <1% |
| UMass Lowell / YouGov | Sep 18–28 | 850 LV | 45–45 | Even | — | <1% |
| Guidant Polling & Strategy (R) | Sep 20–28 | 800 LV | 47–44 | D +3.0 | — | <1% |
| Beacon Research (D)/ Shaw & Co. Research (R) | Sep 24–28 | 1,203 RV | 53–46 | D +7.0 | +1.1 | <1% |
| Beacon Research (D)/ Shaw & Co. Research (R) | Sep 24–28 | 881 LV | 51–49 | D +2.0 | +1.1 | <1% |
| Pulse Decision Science (R) | Sep 24–27 | 800 LV | 45–48 | R +3.0 | −0.1 | 1% |
| Big Data | Sep 24–26 | 793 RV | 44–39 | D +5.0 | — | <1% |
| Big Data | Sep 24–26 | 698 LV | 45–42 | D +3.0 | — | <1% |
| Big Data Poll | Sep 24–26 | 793 RV | 44–39 | D +5.0 | −0.3 | <1% |
| Big Data Poll | Sep 24–26 | 698 LV | 45–42 | D +3.0 | −0.3 | <1% |
| Stratus Intelligence (R) | Sep 22–24 | 856 LV | 48–48 | Even | — | <1% |
| Texas Public Opinion Research (D) | Sep 19–22 | 1,007 LV | 49–44 | D +5.0 | +0.1 | <1% |
| Marist University | Sep 17–20 | 1,139 RV | 50–44 | D +6.0 | +0.9 | <1% |
| Texas Southern University | Sep 15–19 | 1,800 LV | 47–46 | D +1.0 | — | <1% |
| Trafalgar Group (R) | Sep 15–17 | 1,079 LV | 46–45 | D +1.0 | −1.7 | <1% |
| Emerson College | Sep 12–14 | 1,000 LV | 47–46 | D +1.0 | +0.9 | <1% |
| SoCal Strategies | Sep 12–13 | 649 LV | 50–45 | D +5.0 | — | <1% |
| ReconMR/ Siena University | Sep 8–11 | 614 LV | 49–43 | D +6.0 | — | <1% |
| Mason-Dixon | Sep 8–10 | 625 LV | 46–43 | D +3.0 | −0.1 | <1% |
| InsiderAdvantage | Sep 8–9 | 1,200 LV | 47–46 | D +1.0 | −0.4 | <1% |
| Univision / YouGov | Aug 27–Sep 4 | 1,000 RV | 48–43 | D +5.0 | +0.1 | <1% |
| Fabrizio Ward (R)/ Impact Research (D) | Aug 30–Sep 1 | 895 LV | 48–44 | D +4.0 | — | <1% |
| Overton Insights (R) | Aug 24–26 | 1,167 LV | 44–43 | D +1.0 | — | <1% |
| Texas Public Opinion Research (D) | Aug 21–24 | 1,000 LV | 48–42 | D +6.0 | +0.1 | <1% |
| University of Texas /Texas Politics Project | Aug 5–13 | 1,200 RV | 42–39 | D +3.0 | — | <1% |
| Emerson College | Aug 9–10 | 1,000 LV | 46–47 | R +1.0 | +0.9 | <1% |
| YouGov Blue (D) | Jul 15–31 | 1,001 RV | 48–45 | D +3.0 | — | <1% |
| Wedgewood Polls | Jul 30–31 | 800 LV | 48–46 | D +2.0 | +0.1 | <1% |
| Texas Southern University | Jul 27–30 | 1,200 LV | 47–45 | D +2.0 | — | <1% |
| Texas A&M University /ReconMR/ Siena University | Jul 27–30 | 619 LV | 47–43 | D +4.0 | — | <1% |
| Beacon Research (D)/ Shaw & Co. Research (R) | Jul 23–27 | 1,005 RV | 51–48 | D +3.0 | +1.1 | <1% |
| Texas Public Opinion Research (D) | Jul 15–17 | 1,048 LV | 45–40 | D +5.0 | +0.1 | <1% |
| A2 Insights | Jun 23–28 | 618 LV | 48–46 | D +2.0 | — | <1% |
| New York Times / Siena University | Jun 19–27 | 656 LV | 47–47 | Even | — | <1% |
| SoCal Strategies (R) | Jun 21 | 800 LV | 47–49 | R +2.0 | — | <1% |
| University of Texas /Texas Politics Project | Jun 5–12 | 1,200 RV | 42–43 | R +1.0 | — | <1% |
| Texas A&M University /ReconMR/ Siena University | Jun 1–4 | 807 LV | 46–46 | Even | — | <1% |
| Quantus Insights | Jun 3–4 | 800 LV | 43–45 | R +2.0 | −0.4 | <1% |
| Texas Public Opinion Research (D) | May 27–28 | 1,670 LV | 47–44 | D +3.0 | +0.1 | <1% |
| Public Policy Polling (D) | May 22–23 | 643 RV | 45–38 | D +7.0 | +0.2 | <1% |
| Texas Southern University | Apr 22–May 6 | 1,223 LV | 45–45 | Even | — | <1% |
| University of Texas /Texas Politics Project | Apr 10–20 | 1,200 RV | 42–34 | D +8.0 | — | <1% |
| Texas Public Opinion Research (D) | Apr 17–20 | 1,018 LV | 46–41 | D +5.0 | +0.1 | <1% |
| Impact Research (D) | Mar 12–17 | 900 LV | 44–43 | D +1.0 | −0.2 | <1% |
| Public Policy Polling (D) | Mar 4–5 | 576 V | 47–45 | D +2.0 | +0.2 | <1% |
| University of Houston / YouGov | Jan 20–31 | 1,502 LV | 44–46 | R +2.0 | — | 0% |
| Emerson College | Jan 10–12 | 1,165 RV | 46–46 | Even | +0.9 | 0% |
| Ragnar Research Partners (R) | Nov 12–17 | 1,000 LV | 44–44 | Even | −0.3 | 0% |
| University of Houston / Texas Southern University | Sep 19–Oct 1 | 1,650 RV | 46–49 | R +3.0 | — | 0% |
| UT Tyler | Sep 17–24 | 1,032 RV | 37–38 | R +1.0 | — | 0% |
How the weights, the blend, and the simulation work is spelled out on the methodology page.