SimpleFunctions

Indiana win at least 10 games this season

10+ wins is priced at 73¢ on Kalshi. Current book: 75¢ bid, 76¢ ask, 1¢ spread. This outcome ranks #5 of 7 inside Will Indiana win at least.

Price history

73¢ current

+10¢
0¢25¢50¢75¢
Aug 21, 2026Sep 19, 2026

Contract brief

If the Indiana college football team has at least 10 wins in the 2026 regular season, then the market resolves to Yes.

Outcome

10+ wins

Rank

#5 of 7

Leader

6+ wins 91¢

Range

20¢-91¢

Family volume

$145

Identifier

KXNCAAFWINS-26IND-10

Sep 21, 2026, 5:08 AM UTC · 29m ago

Implied probability

73¢
Latest venue quote
Sep 21, 2026, 5:08 AM UTC · 29m ago

Bid

75¢

Ask

76¢

Spread

Reported volume

$10K

Family rank

#5 of 7

7 outcomes · Will Indiana win at least

Closes

Dec 20, 2026

Family volume

$145

Orderbook snapshot

75 / 76¢

Kalshi
1¢ spread
BidSize
75¢19
67¢20
66¢250
55¢86
54¢10
AskSize
76¢10
85¢48
86¢250
87¢62
88¢81

Contract terms

What resolves this market.

YES condition

If the Indiana college football team has at least 10 wins in the 2026 regular season, then the market resolves to Yes.

Venue

Kalshi

Closes

Dec 20, 2026

Identifier

KXNCAAFWINS-26IND-10

SF Signal
SF Index
449.29
Regime
neutral

Event family

Will Indiana win at least.

The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.

Total volume

$145

Outcomes

7

Highest price

6+ wins 91¢

Current share

0%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

181.4%

IY (No)

898.6%

Adj IY

449%

CRI

2

Overround

3.9%

Regime

neutral

Score

0.5

Full indicator table

181.4%
898.6%
Adj IY
449%
2
Overround
3.9%

Related readings

Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.

Browse library
Opinioncomparison

Kalshi vs Polymarket: Mechanics, Fees, Regulation, Liquidity (2026)

Side-by-side comparison of Kalshi and Polymarket in 2026. Fee math, calibration data, withdrawal speed, and a decision tree for picking the right venue.

Blogmarkets

Kalshi vs Polymarket: Which Prediction Market Should You Trade?

In-depth comparison of Kalshi and Polymarket for prediction market traders. Regulatory structure, liquidity, fees, API tooling, and cross-venue trading with SimpleFunctions.

Blogmarkets

Prediction Market Orderbook Analysis: Reading Depth, Spread, and Liquidity

How to read prediction market orderbooks. Binary settlement, spread-as-percentage, depth asymmetry, executable edge calculation, and cross-venue arbitrage analysis.

Technicalguide

Kalshi vs Polymarket: A Developer's Comparison of APIs, Orderbooks, and Liquidity

Data-driven comparison of Kalshi and Polymarket APIs, orderbooks, rate limits, and liquidity. Code examples for building on both prediction markets.

Opinionanalysis

Information Finance Has Arrived: A Material Map of Prediction Markets in Q2 2026

Combined Kalshi + Polymarket volume hit $66B in just four months of 2026 — already greater than the entire 2025 industry total. Bernstein projects $1T by 2030. Two venues hold 95% of US share. The distribution layer fragmented across nine retail surfaces. AI agents are 30% of Polymarket wallet activ

Opinionanalysis

Liquidity Availability Is the Real Edge in Prediction Markets

Implied yield, cliff risk, and overround all describe what to trade. Liquidity Availability Score describes whether the orderbook can absorb the trade. Why LAS is the indicator that decides who actually books P&L.

SimpleFunctions context

Index, screen, query, and monitor.

Open index

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.