SimpleFunctions

Atlanta win at least 95 games this season

95+ wins is priced at 55¢ on Kalshi. Current book: 42¢ bid, 55¢ ask, 13¢ spread. This outcome ranks #5 of 7 inside Will Atlanta win at least.

Price history

55¢ current

+35¢
0¢25¢50¢
Jul 8, 2026Aug 7, 2026

Contract brief

If Atlanta has 95+ wins in the 2026 pro baseball team regular season, then the market resolves to Yes.

Outcome

95+ wins

Rank

#5 of 7

Leader

75+ wins 98¢

Range

2¢-98¢

Family volume

$1K

Identifier

KXMLBWINS-ATL-26-T95

Aug 7, 2026, 6:08 AM UTC · 13m ago

Implied probability

55¢
Latest venue quote
Aug 7, 2026, 6:08 AM UTC · 13m ago

Bid

42¢

Ask

55¢

Spread

13¢

24h volume

$120

Family rank

#5 of 7

7 outcomes · Will Atlanta win at least

Closes

Nov 8, 2026

Family volume

$1K

Orderbook snapshot

42 / 55¢

Kalshi
13¢ spread
BidSize
42¢295
40¢25
37¢200
36¢100
32¢200
AskSize
55¢132
57¢200
60¢181
63¢160
68¢25

Contract terms

What resolves this market.

YES condition

If Atlanta has 95+ wins in the 2026 pro baseball team regular season, then the market resolves to Yes.

Venue

Kalshi

Closes

Nov 8, 2026

Identifier

KXMLBWINS-ATL-26-T95

SF Signal
SF Index
271.25
Regime
neutral

Browse this series

MLB Team Season Win Total Markets
Per-series collection — every live contract in the KXMLBWINS series on Kalshi, sorted by 24h volume.

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

542.5%

IY (No)

284.5%

Adj IY

271%

CRI

1

Overround

2.2%

Regime

neutral

Score

0.5

Full indicator table

542.5%
284.5%
Adj IY
271%
1
Overround
2.2%

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.