Match ☆ 03 Mar 2017 · 16:00 UTC
RUS · Premier League · 2016
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Betting odds
Closing odds (last odds before kick-off)
Pinnacle home win odds 20
Pinnacle draw odds 6.75
Pinnacle away win odds 1.21
Market maximum home win odds 43.65
Market maximum draw odds 11.25
Market maximum away win odds 1.21
Market average home win odds 22.98
Market average draw odds 8.45
Market average away win odds 1.11
The models what they said before kick-off
Draw predictor · this site's own figures
Figure Tom Tomsk FC Rostov
N — no-draw runmatches in a row without a draw 3 0
Max Nthis team's longest run ever 7 10
E — draw debtexpected draws over the current run 0.64 0.00
p50 — last 50draw rate over its last 50 matches 22.0% 20.0%
p100 — last 100draw rate over its last 100 matches 20.8% 25.0%
Draw % — all timeshare of every match drawn 20.8% 25.8%
Σ Nboth sides' runs added 3
Σ Eboth sides' draw debt added 0.64

These are the figures that held before kick-off: each side's record over every match it had played before 3 Mar 2017, computed exactly as the predictor computes today's. Draw score and rank are left out: both place a team against the whole field, and the field can only be scored as it stands now.

Team strength · Elo
Tom Tomsk 1,505 after: 1,496
FC Rostov 1,811 after: 1,820
Rating gap -242 home advantage included
Draws at this gap 20.6% 200–299 · 49,473 matches
Goals model · Dixon-Coles
Expected goals 0.74 – 1.32 home – away
Home win 20.2%
Draw 29.8% every level score added up
Away win 49.9%
Both together · the blend
Blended draw chance 27.3% 75% goals model · 25% Elo gap
Goals model said 29.8% form only
This Elo gap said 20.6% strength only

The mix is the one that scored best over 544,576 matches — the two are averaged on the log-odds scale, not simply added.

The regression · the logistic model
Logistic draw chance 25.2% five signals, then recalibrated
95% band 25.2% – 25.2% how unsure the fit is, not the match
The blend says 27.3% the older published reading

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.