Australia Cup historical data
Australia Cup is a Polymarket sports series with markets recurring daily. Marketlens has captured 426 markets since July 14, 2026, of which 426 resolved, with $240.1K in traded volume. Every market's order book is stored in full: periodic L2 snapshots plus every individual price change with a millisecond timestamp, alongside trades, candles, and the final resolution outcome.
Data as of 2026-08-05 · series slug soccer-auc
Markets by bet type
Market counts by bet type across the series. Pass any of these as subtype= to backtest that type on its own.
Recent markets in this series
- Azzurri United FC vs. Macarthur FC: Macarthur FC O/U 2.5
- Azzurri United FC vs. Macarthur FC: 1st Half O/U 1.5
- Azzurri United FC vs. Macarthur FC: 1st Half O/U 0.5
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "soccer-auc", subtype="moneyline",
after="2026-07-29", before="2026-08-06", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Australia Cup markets are in the archive?
426 markets from July 14, 2026 through August 5, 2026, of which 426 have resolved.
What data exists for each Australia Cup market?
Full L2 order book history (snapshots plus every price change at millisecond resolution), individual trades, OHLC candles, and the resolution outcome. All of it is queryable by the series slug "soccer-auc" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Australia Cup market trade?
Average traded volume is $645 per market, $240.1K across the series.
Can I backtest strategies on Australia Cup?
Yes. Pass the slug "soccer-auc" to client.backtest() in the Python SDK. Execution mode replays every market's order book tick by tick and fills simulated orders against real historical depth with queue priority, latency, and fee modelling; Alpha mode replays one bar per market for slower signals over long windows. 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, UFC, MLS 2025, or all sports series.
Try it
Replay Australia Cup tick by tick
The free tier includes 5M events per day with full API and full archive access, no card required.
$ pip install marketlens