Concacaf Nations LeaguePolymarket historical data and price history

Concacaf Nations League: a Polymarket sports series with markets recurring daily. Marketlens has captured 166 markets since September 28, 2026, of which 159 resolved, with $768.1K in traded volume. Order books are stored at full depth, with every individual price change captured at millisecond resolution on the most actively traded markets, alongside trades, candles, and the final resolution outcome.

For the sports archive as a whole, see Polymarket sports odds history.

Data as of 2026-10-05 · Polymarket series Concacaf Nations League · slug concacaf-nations-league

Markets
166
Resolved
159
Traded volume
$768.1K
Avg volume / market
$7.2K
Cadence
daily
Coverage from
2026-09-28
Data through
now
Category
Sports

Markets by bet type

total42
total:h226
total:h126
spread20
moneyline4
btts:h22
btts:h12

Market counts by bet type across the series. Pass any of these as subtype= to backtest that type on its own.

Markets in this series

The most recently resolved of 166 markets.

Bahamas vs. US Virgin Islands: US Virgin Islands 1st Half O/U 3.5

closed 2026-10-05 · resolved Under

Spread: US Virgin Islands (-1.5)

closed 2026-10-05 · volume $28.4K · resolved Bahamas

Bahamas vs. US Virgin Islands: Bahamas O/U 0.5

closed 2026-10-05 · volume $62 · resolved Over

Backtest this series

python
from datetime import datetime, timedelta, timezone from marketlens import MarketLens, Strategy class MyStrategy(Strategy): def on_market_start(self, ctx, market, book): ctx.buy_yes(size=10) client = MarketLens() end = datetime.now(timezone.utc) - timedelta(days=1) result = client.backtest( MyStrategy(), "concacaf-nations-league", subtype="moneyline", after=end - timedelta(minutes=15), before=end, initial_cash=1_000, ) result.show() # inspect the run in the dashboard

Available datasets

Order book snapshots and deltasfull L2 depth, millisecond price changes
Tradesindividual fills with side and size
CandlesOHLC at multiple resolutions
Bulk Parquet exportsfull markets for offline research
Backtestingtick level replay with realistic fills

Common questions

How many Concacaf Nations League markets are in the archive?

166 markets from September 28, 2026 through now, of which 159 have resolved and 7 are active.

What data exists for each Concacaf Nations League market?

Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome, with the full price change stream at millisecond resolution on the most actively traded markets in the series. All of it is queryable by the series slug "concacaf-nations-league" through the API and Python SDK, or downloadable as Parquet.

How much does a typical Concacaf Nations League market trade?

Average traded volume is $7.2K per market, $768.1K across the series.

Can I backtest strategies on Concacaf Nations League?

Yes. Pass the slug "concacaf-nations-league" to client.backtest() in the Python SDK. Execution mode replays order books against real historical depth; Alpha mode, one bar per market, covers every market in the series and suits its longer horizons. This series mixes several bet types, so pass subtype= (e.g. "moneyline") to backtest one type at a time.

Related series: FIFA World Cup, MLB, ATP, WTA, NFL 2026, Premier League 2025, or all sports series.

Try it

Pull Concacaf Nations League books in one call

The free tier includes 2M data rows and every market open in the last 7 days, no card required.

bash
$ pip install marketlens