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Upcoming fixtures

Model probabilities from 'mlb-dc'

The model serving this sport has not been backtested.
Nothing here has been checked against what actually happened, so treat every number as untested until you have run python -m pipeline.backtest --sport baseball.
How to read this table
The coloured bar is the model's split between home win / draw / away win. xG is how many goals each side is expected to score, and Score is the single likeliest exact scoreline — likeliest is not the same as likely, so treat it as a shape rather than a forecast. For ranked selections across every market, use the Radar.
No upcoming baseball fixtures priced yet.
Ingest a season that is still being played, then fit and price it:
./.venv/bin/python -m pipeline.ingest_espn --sport baseball --upcoming
./.venv/bin/python -m pipeline.predict --sport baseball

Latest results

DateMatchRuns xG
3 Sep 26 Houston Astros v Chicago White Sox 6–2 —–— analysis →
3 Sep 26 Cleveland Guardians v Toronto Blue Jays 3–6 —–— analysis →
3 Sep 26 Pittsburgh Pirates v San Francisco Giants 5–2 —–— analysis →
2 Sep 26 Los Angeles Dodgers v St. Louis Cardinals 6–8 OT —–— analysis →
2 Sep 26 Los Angeles Angels v New York Yankees 3–6 OT —–— analysis →
2 Sep 26 Houston Astros v Chicago White Sox 2–0 —–— analysis →
2 Sep 26 Chicago Cubs v Milwaukee Brewers 5–9 —–— analysis →
2 Sep 26 Kansas City Royals v Miami Marlins 6–9 —–— analysis →
2 Sep 26 Minnesota Twins v Detroit Tigers 6–11 OT —–— analysis →
2 Sep 26 Cleveland Guardians v Toronto Blue Jays 0–11 —–— analysis →
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Upcoming fixtures

What this page is for

The diary. Every fixture already ingested and priced appears here in kick-off order, whether the model has a strong opinion about it or not. It is the complete list, not a shortlist.

How to read a row

The coloured bar is the model's split between home win and away win — there is no draw, because overtime resolves one. xG is how many runs each side is expected to score, and Score is the single likeliest exact scoreline.

The likeliest exact scoreline is rarely a likely one — in a typical football match the most probable score sits somewhere around one chance in ten. Read it as the shape the model expects, not as a forecast of the result.

What it will not tell you

Nothing here is ranked by how good a bet it is. A fixture the model is almost indifferent about sits in the same list as one it has a firm view on.

Where to go next

Radar ranks selections across every market. Clicking any fixture opens its Match page, where the shot map, the xG timeline and every stored market price live.

Press esc to close Read the full guide