Superettan historical data

Superettan is a Polymarket sports series with markets recurring daily. Marketlens has captured 17 markets since September 10, 2026, of which 9 resolved, with $14.7K 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.

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

Data as of 2026-09-14 · series slug swe2-games

Markets
17
Resolved
9
Traded volume
$14.7K
Avg volume / market
$1.5K
Cadence
daily
Coverage from
2026-09-10
Data through
2026-09-13
Category
Sports

Markets in this series

The most recently resolved of 17 markets.

Exact Score: IFK Norrkoping FK 2 - 3 IK Oddevold?

closed 2026-09-13 · volume $2.0K · resolved No

Exact Score: IFK Norrkoping FK 3 - 0 IK Oddevold?

closed 2026-09-13 · resolved No

Exact Score: IFK Norrkoping FK 1 - 2 IK Oddevold?

closed 2026-09-13 · volume $3.3K · resolved No

Backtest this series

python
from marketlens import MarketLens client = MarketLens() result = client.backtest( MyStrategy(), "swe2-games", after="2026-09-10", before="2026-09-14", 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 Superettan markets are in the archive?

17 markets from September 10, 2026 through September 13, 2026, of which 9 have resolved and 8 are active.

What data exists for each Superettan 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 "swe2-games" through the API and Python SDK, or downloadable as Parquet.

How much does a typical Superettan market trade?

Average traded volume is $1.5K per market, $14.7K across the series.

Can I backtest strategies on Superettan?

Yes. Pass the slug "swe2-games" 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.

Related series: FIFA World Cup, MLB, ATP, UEFA Champions League 2025, WTA, UFC, or all sports series.

Try it

Replay Superettan tick by tick

The free tier includes 25M rows per day with full API and full archive access, no card required.

bash
$ pip install marketlens
Get a free API keyRead the docs