2026 Midterms · Race Center
Every 2026 Senate race, every market, one number
Kalshi, Polymarket and PredictIt odds side by side with the public polling average for all 35 Senate contests, and the Precision Combined forecast for each.
Projected Senate after Nov. 3
Democrats 51.3 of 100
65 seats not on the ballot, plus the Precision Combined chance in each of the 35 races, added up.
51 seats for a majority · Republicans need 50 with the Vice President's tie-break · Independent 0.5
- 55% RAshley Hinson
IowaToss-up
Ashley Hinson (R) vs. Josh Turek (D)
- Kalshi
- 59¢
- Poly
- 58%
- PredictIt
- 57¢
- Polls
- D +0.5
- 57% RRoger Marshall
KansasToss-up
Roger Marshall (R) vs. Adam Hamilton (D)
- Kalshi
- 62¢
- Poly
- 63%
- PredictIt
- 60¢
- Polls
- D +2.0
- 60% DTroy Jackson
MaineToss-up
Troy Jackson (D) vs. Susan Collins (R)
- Kalshi
- 58¢
- Poly
- 60%
- PredictIt
- 57¢
- Polls
- D +2.1
- 63% DJames Talarico
TexasToss-up
James Talarico (D) vs. Ken Paxton (R)
- Kalshi
- 65¢
- Poly
- 65%
- PredictIt
- 61¢
- Polls
- D +1.7
- 65% DMary Peltola
AlaskaToss-up
Mary Peltola (D) vs. Sullivan (R)
- Kalshi
- 75¢
- Poly
- 74%
- PredictIt
- 72¢
- Polls
- R +1.8
- 65% DSherrod Brown · 3 of 4 sources
Ohio (Special)Toss-up
Sherrod Brown (D) vs. Jon Husted (R)
- Kalshi
- —
- Poly
- 62%
- PredictIt
- 62¢
- Polls
- D +3.1
- 70% DAbdul El-Sayed
MichiganLeaning
Abdul El-Sayed (D) vs. Mike Rogers (R)
- Kalshi
- 67¢
- Poly
- 71%
- PredictIt
- 67¢
- Polls
- D +3.8
- 70% RPete Ricketts
NebraskaLeaning
Pete Ricketts (R) vs. Dan Osborn (I)
- Kalshi
- 74¢
- Poly
- 73%
- PredictIt
- 73¢
- Polls
- I +1.0
- 79% RDarline Graham Nordone
South CarolinaLeaning
Darline Graham Nordone (R) vs. Annie Andrews (D)
- Kalshi
- 86¢
- Poly
- 85%
- PredictIt
- 81¢
- Polls
- R +1.0
- 82% DPeggy Flanagan
MinnesotaLeaning
Peggy Flanagan (D) vs. Michele Tafoya (R)
- Kalshi
- 87¢
- Poly
- 88%
- PredictIt
- 87¢
- Polls
- D +3.3
- 88% DChris Pappas
New HampshireSafe
Chris Pappas (D) vs. John E. Sununu (R)
- Kalshi
- 90¢
- Poly
- 89%
- PredictIt
- 85¢
- Polls
- D +7.0
- 88% RAshley Moody · 2 of 4 sources
Florida (Special)Safe
Ashley Moody (R) vs. Angie Nixon (D)
- Kalshi
- —
- Poly
- 91%
- PredictIt
- —
- Polls
- R +6.7
- 92% RCindy Hyde-Smith
MississippiSafe
Cindy Hyde-Smith (R) vs. Scott Colom (D)
- Kalshi
- 92¢
- Poly
- 94%
- PredictIt
- 92¢
- Polls
- R +6.0
- 94% RJim Risch
IdahoSafe
Jim Risch (R) vs. Todd Achilles (I)
- Kalshi
- 95¢
- Poly
- 95%
- PredictIt
- 96¢
- Polls
- R +4.0
- 94% RMike Rounds · 3 of 4 sources
South DakotaSafe
Mike Rounds (R) vs. Brian Bengs (I)
- Kalshi
- 94¢
- Poly
- 93%
- PredictIt
- 97¢
- Polls
- —
- 94% RJulia Letlow · 3 of 4 sources
LouisianaSafe
Julia Letlow (R) vs. Jamie Davis (D)
- Kalshi
- 96¢
- Poly
- 93%
- PredictIt
- 93¢
- Polls
- —
- 94% RTom Cotton
ArkansasSafe
Tom Cotton (R) vs. Hallie Shoffner (D)
- Kalshi
- 94¢
- Poly
- 94%
- PredictIt
- 94¢
- Polls
- R +11.0
- 95% RBill Hagerty
TennesseeSafe
Bill Hagerty (R) vs. Marquita Bradshaw (D)
- Kalshi
- 94¢
- Poly
- 94%
- PredictIt
- 96¢
- Polls
- R +20.0
- 95% RKurt Alme
MontanaSafe
Kurt Alme (R) vs. Seth Bodnar (I)
- Kalshi
- 93¢
- Poly
- 92%
- PredictIt
- 92¢
- Polls
- R +19.5
- 95% DJon Ossoff
GeorgiaSafe
Jon Ossoff (D) vs. Mike Collins (R)
- Kalshi
- 95¢
- Poly
- 96%
- PredictIt
- 93¢
- Polls
- D +9.6
- 95% DRoy Cooper
North CarolinaSafe
Roy Cooper (D) vs. Michael Whatley (R)
- Kalshi
- 95¢
- Poly
- 96%
- PredictIt
- 94¢
- Polls
- D +9.6
- 96% RBarry Moore · 2 of 4 sources
AlabamaSafe
Barry Moore (R) vs. Everett Wess (D)
- Kalshi
- 97¢
- Poly
- —
- PredictIt
- 95¢
- Polls
- R +21.0
- 97% RAndy Barr · 2 of 4 sources
KentuckySafe
Andy Barr (R) vs. Charles Booker (D)
- Kalshi
- —
- Poly
- 97%
- PredictIt
- 95¢
- Polls
- —
- 97% DCory Booker · 3 of 4 sources
New JerseySafe
Cory Booker (D) vs. Justin Murphy (R)
- Kalshi
- 96¢
- Poly
- 97%
- PredictIt
- 99¢
- Polls
- —
- 97% RKevin Hern · 3 of 4 sources
OklahomaSafe
Kevin Hern (R) vs. N’Kiyla “Jasmine” Thomas (D)
- Kalshi
- 97¢
- Poly
- 97%
- PredictIt
- 98¢
- Polls
- —
- 98% DMark Warner · 3 of 4 sources
VirginiaSafe
Mark Warner (D) vs. Bert Mizusawa (R)
- Kalshi
- 97¢
- Poly
- 98%
- PredictIt
- 97¢
- Polls
- —
- 98% DJeff Merkley · 1 of 4 sources
OregonSafe
Jeff Merkley (D) vs. David Brock Smith (R)
- Kalshi
- 98¢
- Poly
- 98%
- PredictIt
- 96¢
- Polls
- —
- 98% RHarriet Hageman · 3 of 4 sources
WyomingSafe
Harriet Hageman (R) vs. James W. Byrd (D)
- Kalshi
- 98¢
- Poly
- 98%
- PredictIt
- 99¢
- Polls
- —
- 98% DJack Reed
Rhode IslandSafe
Jack Reed (D) vs. Raymond McKay (R)
- Kalshi
- 99¢
- Poly
- 98%
- PredictIt
- 99¢
- Polls
- D +20.0
- 98% DJohn Hickenlooper · 3 of 4 sources
ColoradoSafe
John Hickenlooper (D) vs. Mark Baisley (R)
- Kalshi
- 99¢
- Poly
- 98%
- PredictIt
- 98¢
- Polls
- —
- 99% RShelley Moore Capito · 2 of 4 sources
West VirginiaSafe
Shelley Moore Capito (R) vs. Rachel Fetty Anderson (D)
- Kalshi
- 99¢
- Poly
- 98%
- PredictIt
- 99¢
- Polls
- —
- 99% DCoons · 2 of 4 sources
DelawareSafe
Coons (D)
- Kalshi
- 99¢
- Poly
- 99%
- PredictIt
- 99¢
- Polls
- —
- 99% DJuliana Stratton · 3 of 4 sources
IllinoisSafe
Juliana Stratton (D) vs. Don Tracy (R)
- Kalshi
- 98¢
- Poly
- 98%
- PredictIt
- 99¢
- Polls
- D +13.0
- 99% DBen Ray Luján
New MexicoSafe
Ben Ray Luján (D) vs. Larry Marker (R)
- Kalshi
- 96¢
- Poly
- 97%
- PredictIt
- 99¢
- Polls
- D +18.0
- 99% DEd Markey
MassachusettsSafe
Ed Markey (D) vs. John Deaton (R)
- Kalshi
- 98¢
- Poly
- 98%
- PredictIt
- 98¢
- Polls
- D +24.5
¢ = last trade price (1¢ ≈ 1% chance)% = Polymarket implied probability▲▼ = change since previous dayRCP links out; its averages aren’t licensed for republishing
Data as of Oct 13, 6:02 AM ET · refreshes about every 30 minutes · tap any race for the full comparison
How the Precision Funnel™ builds the Precision Combined number
Everything available on a race goes into the top of the funnel. No source has a fixed percentage: each one’s weight comes from how much evidence it carries for this race, by the published rule on the right.
- Public polls. Every public poll of the race, national, state or local, is vetted before it counts: how many people it reached, how recent it is, whether it screened for likely voters, and whether a party or campaign paid for it. Campaign internal polls are left out.
- Prediction markets, priced by money at risk. For each market we add up the dollars traded (contracts times price). A market with under $10k traded, a spread wider than 10¢, or a 15-point jump on under $25k is left out, because one buyer can set that price.
- Local and regional sources. Newspaper, radio and university polls get the same vetting as step 1. Today they arrive through the public poll feed; we are adding the local sources national feeds miss. In races national pollsters skip, such as state cabinet offices, they may be most of what exists.
- Attention and momentum. News volume and tone (GDELT) and Wikipedia pageviews for the two leading candidates, this week against the three weeks before. Attention is not votes, so it counts only through a gate: two independent sources with enough volume, all moving the same way. Then it carries 5% to 15% of the number; otherwise 0%, shown beside the number. Search interest and social platforms join as they are wired.
- our own member poll. Our panel, weighted to the voter file on party, age, sex, education, income and region. It starts with the same trust as outside polls and earns more only through a scored track record.Not live yet
- The number. Market prices are scaled to add to 100%, a poll lead becomes a win chance with a bell curve 6 points wide, and the sources are averaged with their weights. Every race page prints the weights it got and why.
Full methodology →Why blend? Read the research →How we’ll be scored →
The weighting rule
Weight = trust × evidence, then scaled so the sources used add to 100%.
| Source | Trust | Evidence |
|---|---|---|
| Kalshi, Polymarket | 1 | Dollars traded ÷ (dollars traded + $50k). $50k counts half, $1M about 95%. |
| PredictIt | ½ | Fixed at ½, since PredictIt publishes no volume and caps each contract at $850. |
| Public polls | 1 | Grows with each vetted poll: full credit at 600 respondents, half credit every 21 days of age, less for registered voters or all adults, half for a partisan sponsor. |
| Precision member poll | 1 | Effective sample ÷ 800 (max 1) × share of demographic groups that match the voter file. Left out under 200 respondents. |
So a Senate race with deep markets and many polls lands near an even split, while a race no market lists and only one local paper polled leans almost entirely on the polls that exist. The constants above are the same for every race; changing one is a new method version, dated and logged. Trust values will be refit on our own scored history and the change published. RealClearPolitics is linked for comparison but not used: RCP has no public data feed and its terms don’t allow republishing its averages. Market prices reflect traders’ money, not a poll of voters. PredictIt data is shown under its non-commercial license. The Funnel never uses a number we did not measure or a source we cannot name.