| Figure | AS Monaco | Pisa SC | What it means |
|---|---|---|---|
| N — no-draw run | 2 | 1 | matches in a row without a draw |
| Max N | 24 | 14 | this team's longest run ever |
| E — draw debt | 0.46 | 0.30 | expected draws over the current run |
| p50 — last 50 | 24.0% | 32.0% | draw rate over its last 50 matches |
| p100 — last 100 | 22.0% | 28.0% | draw rate over its last 100 matches |
| Draw % — all time | 26.7% | 33.2% | share of every match drawn |
| Draw score | 0.144 | 0.143 | the predictor ranking score |
| Rank | 1,117 | 1,130 | position in that ranking |
These are each team's figures as they stand today — this match has no stored Cross row, so they are not the numbers that held when it was played.
The mix is the one that scored best over 544,576 matches — the two are averaged on the log-odds scale, not simply added.
A regression over five signals — the goals model, the draw rate at this Elo gap, the expected goals in the fixture and the competition's own base draw rate — with an isotonic map on top to put the level back where reality is. Held out on a decade it never saw it beat the blend above, which is why both are shown here while one is chosen. Unlike the two readings above it, this one is not leak-free: the model was fitted on all of history, this match included, so for a played match it is a description rather than a prediction.
Both figures are what the models knew before this match — neither ever reads the result it is describing, so they can be compared with what actually happened. Measured over 160,869 priced matches the goals model is slightly worse than the bookmakers (how it is scored), so a high draw chance means an even, low-scoring match rather than value. Descriptive statistics, not betting advice.