SimpleFunctions
kalshiYield curve224 markets

Fresno St. wins

event base · KXNCAAFGAME

By SimpleFunctions· Last verified 24 Aug 2026Methodology
24h volume
$33.8K
Constituents
224
Distinct tenors
7
2w – 4w
Avg P(YES)
43.1%

Term structure

YES probability across 7 tenors

25%50%75%2w3w3w4w4w
τ days →P(YES) on left axis

Analysis

The yield curve for this college football event family displays a remarkably flat structure across all observed tenors, with both the 14-day and 15-day buckets clustering around similar probability levels. Within the 14-day tenor, YES probabilities for favored outcomes range from 86% to 99%, while underdog positions trade between 1% and 8%. The 15-day bucket shows nearly identical pricing, with favorites at 92-97% and underdogs at 1-13%. This flatness indicates minimal term premium or temporal repricing across the short observation window. The cheapest YES probabilities consistently appear on underdog positions across both tenors, trading at 1-8% for 14-day markets and 1-13% for 15-day markets, suggesting the market assigns these teams minimal win probability regardless of the specific resolution date. The flat yield curve structure implies the market views the event outcomes as largely predetermined and imminent, with resolution occurring within the next two weeks. The absence of steepening or inversion suggests no meaningful uncertainty about timing—the market is not pricing in scenarios where outcomes become more or less certain as the event approaches. The consistent probability levels across tenors indicate high confidence in the underlying matchup results rather than evolving information flow. The concentration of trading volume on extreme probabilities (very high for favorites, very low for underdogs) reinforces this view: the market has already formed strong convictions about which teams will win, and these convictions remain stable across the short time horizons represented in the data.

Generated 8/24/2026 · anthropic/claude-haiku-4.5

Constituent markets

224 kalshi contracts

MarketTenorP(YES)Vol 24h
Ohio St. wins: Ohio St.2w99.0%$1
Georgia wins: Georgia2w99.0%$0
Army wins: Army2w98.0%$0
Tennessee wins: Tennessee2w98.0%$10
Maryland wins: Maryland2w98.0%$0
Old Dominion wins: Old Dominion2w98.0%$0
BYU wins: BYU2w98.0%$15
Virginia Tech wins: Virginia Tech2w98.0%$0
Arizona St. wins: Arizona St.2w98.0%$0
Texas Tech wins: Texas Tech2w97.0%$0
South Carolina wins: South Carolina2w97.0%$0
Texas A&M wins: Texas A&M2w97.0%$6
Kansas St. wins: Kansas St.2w97.0%$29
Iowa wins: Iowa2w97.0%$0
Navy wins: Navy2w97.0%$2
Texas wins: Texas2w97.0%$954
Indiana wins: Indiana2w97.0%$12
Will Notre Dame win the Rice vs Notre Dame college football game?: Notre Dame3w97.0%$20
North Dakota St. wins: North Dakota St.2w96.0%$0
Louisiana Tech wins: Louisiana Tech2w96.0%$0
Arkansas wins: Arkansas2w96.0%$10
Syracuse wins: Syracuse2w96.0%$715
Arizona wins: Arizona2w96.0%$0
San Diego St. wins: San Diego St.2w96.0%$0
Alabama wins: Alabama2w95.0%$205
Vanderbilt wins: Vanderbilt2w95.0%$0
Iowa St. wins: Iowa St.2w95.0%$10
Mississippi St. wins: Mississippi St.2w95.0%$10
Michigan wins: Michigan2w95.0%$27
USC wins: USC2w94.0%$246
Miami (FL) wins: Miami (FL)2w94.0%$1
Georgia Southern wins: Georgia Southern2w94.0%$100
Air Force wins: Air Force2w94.0%$16
Florida wins: Florida2w94.0%$12
Rice wins: Rice2w94.0%$0
UTSA wins: UTSA2w94.0%$299
New Mexico St. wins: New Mexico St.2w94.0%$0
Sacramento St. wins: Sacramento St.2w94.0%$0
Oregon wins: Oregon2w93.0%$746
Nebraska wins: Nebraska2w93.0%$132
Kentucky wins: Kentucky2w93.0%$893
Penn St. wins: Penn St.2w92.0%$44
Middle Tennessee wins: Middle Tennessee2w92.0%$0
Houston wins: Houston2w92.0%$81
Will Notre Dame win the Wisconsin vs Notre Dame college football game?: Notre Dame2w92.0%$127
Southern Miss wins: Southern Miss2w91.0%$250
Louisiana wins: Louisiana2w91.0%$0
Washington wins: Washington2w91.0%$126
Will Notre Dame win the Michigan St. vs Notre Dame college football game?: Notre Dame4w91.0%$11
West Virginia wins: West Virginia2w90.0%$9
Montana St. wins: Montana St.2w90.0%$0
Appalachian St. wins: Appalachian St.2w86.0%$0
Pittsburgh wins: Pittsburgh2w86.0%$0
Troy wins: Troy2w86.0%$1
Jacksonville St. wins: Jacksonville St.2w83.0%$0
UConn wins: UConn2w83.0%$0
Oklahoma St. wins: Oklahoma St.2w83.0%$0
South Florida wins: South Florida2w80.0%$6
Will Texas Tech win the Houston vs Texas Tech college football game?: Texas Tech4w80.0%$0
Charlotte wins: Charlotte2w79.0%$0
Temple wins: Temple2w78.0%$0
North Dakota wins: North Dakota2w78.0%$0
Will LSU win the Clemson vs LSU college football game?: LSU2w77.0%$645
New Mexico wins: New Mexico2w77.0%$3
Duke wins: Duke2w75.0%$0
Mercer wins: Mercer2w74.0%$0
Montana wins: Montana2w73.0%$0
Memphis wins: Memphis2w71.0%$0
Cincinnati wins: Cincinnati2w71.0%$4
Auburn wins: Auburn2w70.0%$433
Northwestern wins: Northwestern2w70.0%$0
Will Ole Miss win the Louisville vs Ole Miss college football game?: Ole Miss2w69.0%$300
Stephen F. Austin wins: Stephen F. Austin2w68.0%$0
UC Davis wins: UC Davis2w68.0%$0
Utah St. wins: Utah St.2w67.0%$25
Lehigh wins: Lehigh2w67.0%$0
James Madison wins: James Madison2w67.0%$21
Will Missouri win the Missouri vs Kansas college football game?: Missouri3w67.0%$70
South Alabama wins: South Alabama2w66.0%$0
Illinois St. wins: Illinois St.2w65.0%$0
Showing top 80 by P(YES) of 224 constituents.

How to read this page

A term structure plots the implied YES probability of each constituent market against its days-to-resolution. Steepening upward = the market prices the event as becoming more likely with time. Flat = stable expectations. Inverted = a near-term catalyst raises odds early then they fade.

Curve construction: each constituent contract is identified by its venue event_id (KXNCAAFGAME on kalshi). Tenor is computed from the contract’s close_time minus snapshot time, rounded to days. We do not interpolate between tenors — every plotted point is a real, traded contract. Outcome-slate pages show price-as-probability for mutually-exclusive contracts; term-structure pages show price-as-probability vs days-to-resolution for the same underlying event.

How we compute these odds

SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.

For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.

Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.

Last updated on this page: Mon, 24 Aug 2026 06:20:55 GMT.