Across all 40,633 settled predictions — including the riskier, lower-confidence ones — 48.6% came in.
This is every prediction our model has made and had graded in the last 90 days — the losses included. The headline figure is the high-confidence segment: picks the model rates at 60% or more, the ones we promote. That threshold is fixed, not tuned, and the rate across every settled prediction sits directly beneath it. Nothing is removed from the archive below, and the figures move as results come in.
A hit rate is not a promise about your next bet. The model states a probability for each outcome, and a probability is a claim about the long run. The chart below is the more honest test: it asks whether the numbers we state actually hold up, which is a harder question than whether we were right more often than not.
Every split carries its own sample size. A model can post a respectable overall number while being near-useless on one outcome — and the draw row below is exactly that case, on a sample far too small to conclude anything from.
Each point is a band of stated probability. Its height is how often those predictions actually came in. The dashed line is perfect calibration — a point on it means the number meant what it said.
Above the line is under-confidence: the outcome happened more often than we claimed. Below is over-confidence, which is the direction that costs money.
Our stated probabilities currently sit an average of 5.9 points away from what happened, across 40,633 settled predictions. That is a measure of how well-calibrated the model is — it is not an accuracy figure, and it should not be read as one.
The bars beneath the axis are the sample size in each band. They matter: a band holding two predictions and one holding two thousand draw the same dot, and only one of them means anything.
A return figure needs the price a prediction was available at when we published it. We now freeze that price against each prediction at the moment it goes out, together with the bookmaker and the time the price was quoted. A profit figure will appear here once enough of those have been settled to mean anything.
Nothing published before that change can ever be included, and it is worth being exact about why: we only keep bookmaker odds for three days, and each refresh overwrites the previous price rather than adding to it. The prices our older predictions were available at are not stale in our records — they are gone. Reconstructing them from today’s odds would produce precisely the flattered number this section exists to refuse.
Not every prediction will carry one. Our feed prices a match-winner market on roughly two thirds of fixtures — 127 of 200 on the day this was measured — and a prediction with no published price is left out of the calculation rather than counted as a bet that returned nothing.
Newest first, showing settled wins.
| Settled | Fixture | League | Our pick | We said | Result | Outcome |
|---|---|---|---|---|---|---|
| 14 Sept | UDI '19 EVV | Derde Divisie | UDI '19 | 47.2% | UDI '19 | Won |
| 14 Sept | Dongen GOES | Derde Divisie | Dongen | 42.0% | GOES | Lost |
| 14 Sept | ADO '20 VV Scherpenzeel | Derde Divisie | ADO '20 | 43.7% | VV Scherpenzeel | Lost |
| 14 Sept | Wettswil-Bonstetten Thalwil | 1. Liga Classic - Group 3 | Wettswil-Bonstetten | 37.9% | Draw | Lost |
| 14 Sept | St. Gallen II Kosova | 1. Liga Classic - Group 3 | Draw |
| 28.8% |
| St. Gallen II |
| Lost |
| 14 Sept | Widnau Winterthur II | 1. Liga Classic - Group 3 | Winterthur II | 41.4% | Widnau | Lost |
| 14 Sept | FC Koln II W Turbine Potsdam W | 2. Frauen Bundesliga | Turbine Potsdam W | 41.0% | Turbine Potsdam W | Won |
| 14 Sept | SGS Essen W Ingolstadt W | 2. Frauen Bundesliga | SGS Essen W | 45.3% | Draw | Lost |
| 14 Sept | SC Sand W Viktoria Berlin W | 2. Frauen Bundesliga | Viktoria Berlin W | 39.2% | Viktoria Berlin W | Won |
| 14 Sept | Carl Zeiss Jena W Hoffenheim II W | 2. Frauen Bundesliga | Carl Zeiss Jena W | 50.7% | Carl Zeiss Jena W | Won |
| 14 Sept | Hertha Berlin W Meppen W | 2. Frauen Bundesliga | Meppen W | 42.3% | Hertha Berlin W | Lost |
| 14 Sept | Andernach W Eintracht Frankfurt II W | 2. Frauen Bundesliga | Andernach W | 43.9% | Eintracht Frankfurt II W | Lost |
| 14 Sept | Hemelingen Schwachhausen | Oberliga - Bremen | Hemelingen | 44.3% | Hemelingen | Won |
| 14 Sept | Phrae United Nakhon Pathom | Thai League 2 | Nakhon Pathom | 40.8% | Draw | Lost |
| 14 Sept | Zagłębie Lubin U19 Arkonia U19 | Central Youth League | Zagłębie Lubin U19 | 40.6% | Zagłębie Lubin U19 | Won |
| 14 Sept | Chonburi FC Rayong FC | Thai League 1 | Rayong FC | 39.2% | Rayong FC | Won |
| 14 Sept | SGV Freiberg Fussball U19 Ingolstadt U19 | U19 Bundesliga | Ingolstadt U19 | 41.2% | Ingolstadt U19 | Won |
| 14 Sept | Stuttgart W VfL Wolfsburg W | Frauen Bundesliga | VfL Wolfsburg W | 42.1% | VfL Wolfsburg W | Won |
| 14 Sept | Eintracht Braunschw. II Germania Egestorf | Oberliga - Niedersachsen | Eintracht Braunschw. II | 46.1% | Eintracht Braunschw. II | Won |
| 14 Sept | Köln II Bergisch Gladbach | Regionalliga - West | Köln II | 46.2% | Bergisch Gladbach | Lost |
| 14 Sept | Borussia Dortmund II SV Rodinghausen | Regionalliga - West | Borussia Dortmund II | 43.3% | Borussia Dortmund II | Won |
| 14 Sept | VfR Mannheim VfR Aalen | Regionalliga - SudWest | VfR Aalen | 39.8% | Draw | Lost |
| 14 Sept | Greifswalder FC Lokomotive Leipzig | Regionalliga - Nordost | Greifswalder FC | 38.0% | Draw | Lost |
| 14 Sept | Todesfelde Bremer SV | Regionalliga - Nord | Bremer SV | 45.2% | Bremer SV | Won |
| 14 Sept | St. Pauli II Eintracht Norderstedt | Regionalliga - Nord | Eintracht Norderstedt | 41.0% | St. Pauli II | Lost |
| 14 Sept | TSV Singen FC Nöttingen | Oberliga - Baden-Württemberg | FC Nöttingen | 45.5% | TSV Singen | Lost |
| 14 Sept | Türkspor Neckarsulm Karlsruhe II | Oberliga - Baden-Württemberg | Türkspor Neckarsulm | 45.0% | Türkspor Neckarsulm | Won |
| 14 Sept | Nyva Ternopil Prykarpattia | Persha Liga | Prykarpattia | 42.4% | Prykarpattia | Won |
| 14 Sept | Young Boys W St. Gallen W | AXA Women’s Super League | Young Boys W | 45.5% | Young Boys W | Won |
| 14 Sept | Sardarapat Alashkert | Premier League | Alashkert | 42.4% | Draw | Lost |
| 14 Sept | VfR Neumünster Nordmark Satrup | Oberliga - Schleswig-Holstein | VfR Neumünster | 42.3% | VfR Neumünster | Won |
| 14 Sept | TSB Flensburg Eckernförder SV | Oberliga - Schleswig-Holstein | TSB Flensburg | 43.3% | Eckernförder SV | Lost |
| 14 Sept | Vanløse Ishøj | 3. Division | Vanløse | 45.5% | Vanløse | Won |
| 14 Sept | Hørsholm-Usserød Holbæk B&I | 3. Division | Holbæk B&I | 47.1% | Hørsholm-Usserød | Lost |
| 14 Sept | FC UFA Volga Ulyanovsk | First League | FC UFA | 40.4% | Draw | Lost |
| 14 Sept | Leningradets Tekstilshchik | First League | Leningradets | 47.0% | Draw | Lost |
| 14 Sept | Weissenfels Germania Halberstadt | Oberliga - Nordost-Süd | Germania Halberstadt | 41.9% | Germania Halberstadt | Won |
| 14 Sept | Einheit Rudolstadt SC Freital | Oberliga - Nordost-Süd | SC Freital | 41.3% | Draw | Lost |
| 14 Sept | Tennis Borussia Anker Wismar | Oberliga - Nordost-Nord | Anker Wismar | 39.2% | Tennis Borussia | Lost |
| 14 Sept | FC Lok Stendal Lichtenberg | Oberliga - Nordost-Nord | Lichtenberg | 40.6% | FC Lok Stendal | Lost |