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Player to be carded + over 3.5 cards

A named player to be carded is the most popular bet builder leg in the UK, and it is almost never built alone — the natural partner is the total-cards line. The two are strongly linked: your player’s booking is itself one of the cards in the count, and the feisty, niggly games that get him booked tend to book several others under the same referee. Multiply the two prices and you will overstate what the pair should pay; the engine below prices the cluster properly.

Bet Builder Engine

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Why your bet builder isn’t the legs multiplied

Legs in the same match move together — a team winning, scoring over 2.5 and both teams scoring are correlated, so the true price is lower than multiplying the odds suggests. This tool models that correlation, shows the fair odds, and splits the gap to the bookmaker’s price into correlation versus margin.

Estimate, not a guarantee. Correlations are modelled priors; de-vig uses market-type margin estimates. A transparency tool, not a tip.

Your legs (2)
1
2
Bookmaker’s bet builder price (optional — unlocks EV)
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Why your odds differ from 5.40

Multiplying the legs gives 5.40. Our model prices the builder at 4.91 because the legs are positively correlated (+32% joint-probability impact) and each leg already carries the bookmaker’s margin. The bookmaker’s price is 4.60, an implied margin of 6.4% on the combination.

Correlation between your legs

  • Home Player — To Be Carded + Over 3.5 Cardsρ +0.35

    A named player’s booking is one of the cards in the total, and the feisty games that book him tend to book others too.

Correlation map

12
  • 1Home Player — To Be Carded
  • 2Over 3.5 Cards

The gap between the headline price and the fair price is the bookmaker’s margin in a form most punters never see. Learn the foundations in expected value and overround.

Your bet builder

Correlation matrix
Fair odds (our model)
4.91
vs 5.40 multiplying the legs
Expected valueMarket price
-6.4%
at the bookmaker’s 4.60
Naive (multiply)5.40
Fair (our model)4.91
Bookie SGP4.60
Correlation impact
+32%
Implied SGP margin
6.4%
Avg leg margin stripped
9.5%

Why home player — to be carded and over 3.5 cards are correlated

A named player’s booking is one of the cards in the total, and the feisty games that book him tend to book others too. In our structural model the link is moderate positive (ρ = 0.35). Because the legs tend to land together, the true probability of the builder is higher than multiplying the two prices implies — so the fair odds are shorter than the naive product. Bookmakers price this in; the question is whether they have priced it fairly or taken extra margin on top.

A worked example

Take home player — to be carded at 3.00 and over 3.5 cards at 1.80 — the prices pre-loaded above. Multiplied together they suggest 5.40. These legs aren't derived from the final scoreline, so our engine de-vigs each leg and prices the pair through the correlation engine: fair odds of 4.91, about 32% more likely than independence assumes. Against an example bookmaker quote of 4.60, the calculator shows the implied margin and expected value instantly — replace any number with your own match's prices and it reprices live.

The two forces inside the price

Two opposing forces set the fair price of any builder, and seeing them separately is the whole trick.

Margin stripping pushes the price out. The quoted legs aren't probabilities — each carries the bookmaker's margin, about 9.5% per leg on these markets. De-vig both legs and multiply the honest probabilities and you get 6.47, not 5.40 — the multiplied number was never a fair price; it's two margins compounded into each other.

Correlation pulls it back in. These legs lean together, so the joint outcome is about 32% more likely than independence implies — pulling the price in from 6.47 to 4.91.

Here, correlation wins: the link between home player — to be carded and over 3.5 cards is strong enough to outweigh the stripped margin, so the fair price 4.91 lands below the multiplied 5.40. The gap between them is genuine probability, priced properly.

Check the price, not the story

Every leg you are quoted already contains margin, and the builder price layers more on top — that, not the correlation, is where value quietly disappears. For the full derivation of how this engine prices a builder, read how we price a bet builder. If the mechanics are new to you, start with our cornerstone guide on the overround that sits inside every price and the expected value glossary entry. Then judge any player carded + over 3.5 cards quote with the calculator: value, fair, or below fair.

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Common questions

Why are carded legs and the cards line so strongly correlated?
Because they are partly the same event. Your player’s booking counts directly towards the total, and the conditions that produce it — a feisty derby, a strict referee, a scrappy midfield battle — raise every player’s chance of going in the book. In our model the link is 0.35, with a further 0.20 between any two different players being carded. Card legs cluster harder than shots legs for exactly this reason: one referee is a shared dial across all twenty-two players.
Why doesn’t the exact match model price cards builders?
The fitted match model derives probabilities from the final scoreline, and bookings aren’t a function of the score — so cards combinations price through the correlation matrix instead, using the structural coefficients above. You’ll see the “correlation matrix” badge on the result. The de-vig still applies per leg: player-carded prices carry the player-prop margin (around 11%), the cards line around 8%.
What are the fair odds for a player carded + over 3.5 cards bet builder?
With typical prices — Home Player — To Be Carded at 3.00 and Over 3.5 Cards at 1.80 — the multiplied (naive) price is 5.40, but the correlation-adjusted fair odds are 4.91. The legs are moderate positively correlated, which makes the true combined probability higher than independence implies. Load your own match's prices into the calculator for an exact answer.

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