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Football Betting MarketsBeginnermixed guidance

Win to Nil Betting: Score Matrix and Settlement

Fact-checkedPublished Updated 4 min readGuide 23 of 25

Latest review: Defined win-to-nil as a joint match-result and clean-sheet event, added a score matrix and checked probability illustration, and separated it from BTTS No.

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In this article (10 sections)

In short

A team wins to nil only when it wins the qualifying match period and concedes zero goals. A 2-0 score wins; 2-1, 0-0, and 0-1 all lose for the selected team. The product is narrower than BTTS No because scoreless draws and the opponent winning to nil do not qualify.

SportSignals illustration: football pitch market zones for Win to Nil Betting
SportSignals illustration
Key Takeaways
  • BTTS No wins whenever at least one team scores zero.
  • P(home win to nil) = P(1-0) + P(2-0) + P(3-0) + ...
  • The full GBP 10 loses if the selected team draws, loses, or concedes at least once, subject to void rules.
  • Calculate home win to nil as a subset of both Home Win and BTTS No.

Score matrix for home win to nil

Regulation-time score Home wins? Away scores zero? Home win-to-nil result
1-0 Yes Yes Win
3-0 Yes Yes Win
2-1 Yes No Loss
0-0 No Yes Loss
0-1 No No Loss

Both conditions must hold. Betfair's current football rules provide one operator reference for the qualifying football period and settlement.

Win to nil versus BTTS No

BTTS No wins whenever at least one team scores zero. Home win to nil wins only a subset of those scores.

Score BTTS No Home win to nil
0-0 Win Loss
2-0 Win Win
0-2 Win Loss
2-1 Loss Loss

Do not use a BTTS No probability as a home win-to-nil probability. The selected team must also win.

Build the probability from a score grid

Calculate the direct score-model probability by summing every home-win-to-nil cell:

P(home win to nil) = P(1-0) + P(2-0) + P(3-0) + ...

Suppose an illustrative complete score grid assigns 0.36 to that sum. At decimal odds 3.00 for one unit:

Win profit = 3 - 1 = 2

Loss probability = 1 - 0.36 = 0.64

EV = (0.36 * 2) - (0.64 * 1) = 0.08

The grid must also retain the unlisted high-score tail so its full probability sums to one. Dixon and Coles provide one football score-modelling approach with low-score dependence (Dixon and Coles, 1997); the illustrative 36% is not drawn from that paper or a live match.

Return example

For an illustrative GBP 10 stake at decimal odds 3.00:

Gross return = 10 * 3 = 30

Net profit = 30 - 10 = 20

The full GBP 10 loses if the selected team draws, loses, or concedes at least once, subject to void rules.

Analysis checks

  1. Confirm selected team and qualifying period.
  2. Define win and zero-conceded as a joint event.
  3. Sum score-grid cells that satisfy both conditions.
  4. Include high-score residual probability.
  5. Test the score model on later fixtures and check calibration.
  6. Compare with the accepted price and exact product rule.

Check probability-set relationships

Calculate home win to nil as a subset of both Home Win and BTTS No. A valid model must therefore satisfy:

  • P(Home win to nil) <= P(Home win)
  • P(Home win to nil) <= P(BTTS No)
  • P(Home win to nil) <= P(Home clean sheet)

Build the value by summing 1-0, 2-0, 3-0, and every retained higher home-win-to-zero cell. Do not include 0-0, because the selected team did not win, or away wins to zero, because the named team did not win.

Check score-mapper tests for 0-0, 1-0, 0-1, 2-0, 2-1, and an awarded result. Then reconcile the sum of home win to nil, away win to nil, 0-0, and both-teams-score partitions against the complete score grid. Any overlap or missing probability points to an outcome-classification error rather than useful model disagreement.

Next step

Use Btts Betting Explained for the next part of this topic.

Continue learning

Assumptions and limitations

Probabilities, prices, and scores are illustrative. DraftKings' soccer rules and Betfair are operator examples. Own goals, awarded matches, abandonment, extra time, and enhanced products can alter settlement.

Was this article helpful?
Sources and evidence4 sources, checked 15 Jul 2026
  1. Sportsbook football and soccer rules (Betfair)Supports: A current operator example of football market definitions, data sources, and settlement rules. Accessed 13 Jul 2026.
  2. Soccer rules (DraftKings Sportsbook)Supports: A current operator example of regulation-time, goalscorer, cards, corners, player-prop, handicap, and tournament settlement rules. Accessed 13 Jul 2026.
  3. Mean or Expected Value and Standard Deviation (OpenStax)Supports: Expected value, variance, and long-run averages. Accessed 13 Jul 2026.
  4. Modelling Association Football Scores and Inefficiencies in the Football Betting Market (Journal of the Royal Statistical Society: Series C)Supports: Poisson-based football score modelling and its assumptions. Accessed 13 Jul 2026.

David Adams

Sports Analyst at SportSignals

David writes every guide in this library, checks it against current operator rules and the named statistical sources, and records what changed in each update. The same byline runs on SportSignals News.

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