SimpleFunctions
KalshiMay 17, 202614 days left

DC United at New York City: Totals

This contract is priced at 50¢ on Kalshi. Current book: 50¢ bid, 51¢ ask, 1¢ spread.

Implied probability

50¢
$223 volume
$218 liquidity
34% of event volume

Event outcomes

4

Family volume

$664

Best sibling

1.5 goals scored 75¢

Ticker

KXMLSTOTAL-26MAY03NYCDCU-2

Price history

50¢ current

+4¢
25¢50¢75¢100¢
Apr 26, 2026May 3, 2026

Orderbook snapshot

50 / 51¢

Kalshi
1¢ spread
BidSize
50¢50
49¢967
48¢6.8K
47¢14K
46¢5.2K
AskSize
51¢649
52¢2.1K
53¢8.9K
54¢9.6K
55¢6.3K

Contract terms

Resolution, venue, and identifiers.

Resolution rules

If DC United and New York City collectively score more than 2.5 total goals in the New York City vs DC United professional MLS soccer game originally scheduled for May 3, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.

Venue

Kalshi

Closes

May 17, 2026

Identifier

KXMLSTOTAL-26MAY03NYCDCU-2

Event family

DC United at New York City: Totals: Over.

This view keeps the individual contract next to its sibling outcomes. For long-tail search traffic, this is the useful context: where the current price sits inside the event, how much volume exists around the family, and which outcomes have actual depth.

Total volume

$664

Outcomes

4

Highest price

1.5 goals scored 75¢

Current share

29%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

2566.3%

IY (No)

2566.3%

Adj IY

1675%

CRI

1

RV

103%

VR

0.20

Regime

neutral

Score

0.5

Full indicator table

2566.3%
2566.3%
Adj IY
1675%
1
RV
103%
VR
0.20
IAR
0.3/h
Overround
0.7%
LAS
0.04

Odds pages

Related prediction questions

Browse odds

Related readings

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

Browse library
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.

Technicalguide

Computing Liquidity Availability Score from the Orderbook

Step-by-step guide to computing the Liquidity Availability Score in TypeScript and Python, with edge cases for thin orderbooks, missing data, and the warm-cron coverage limitation.

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.

Conceptmethodology

Maker / Taker Regime in Prediction Markets: How to Read the Orderbook State

Three regime states (maker-dominated, taker-dominated, neutral) and how to read which one a Kalshi or Polymarket contract is in. Strategy follows regime, not thesis.

Concepttheory

Why a "DCF" of a Prediction Market Is Mathematically Incoherent

A binary prediction-market contract has one cash flow at one date. The DCF identity collapses into the implied yield equation. There is nothing to compute that IY does not already give you.

Blogmacro

Fed Rate Cuts 2026: What $200M in Prediction Market Volume Is Telling Us

Fed rate prediction market analysis for 2026. Meeting-by-meeting probabilities, comparison with CME futures, cross-market signals, tail risk pricing, and historical accuracy.

SimpleFunctions context

Index, screen, query, and monitor.

Open index