How Betting works ?

 

As of now Indian winning probability is 90%~  and New Zealand winning is 9%   In the stock market as well probability plays important role.

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1️⃣ Basic Formula Used in Betting Odds

In decimal odds, the relationship is:

$$\textbf{Odds} = \frac{1}{\text{Probability}}$$

Example:

If probability of winning = 90% (0.90)

$$Odds = \frac{1}{0.90} = 1.11$$

But bookmakers add margin, so odds become slightly worse for bettors.

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2️⃣ Convert the Odds in Your Screenshot to Probability

India Odds = 1.07

$$Probability = \frac{1}{1.07}$$ $$= 0.9345$$

≈ 93.45% chance

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New Zealand Odds = 8.84

$$Probability = \frac{1}{8.84}$$ $$= 0.1131$$

≈ 11.31% chance

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3️⃣ Why Probabilities Add More Than 100%

Add both:

93.45% + 11.31% = 104.76%

The extra 4.76% is the bookmaker margin.

This is how betting companies guarantee profit.

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4️⃣ Why India Became 1.07 ?

Match situation:

• India 98/0 in 7 overs

• New Zealand not started batting

• T20 match

This means:

• Required run rate low

• Wickets intact

• High win probability

The bookmaker’s algorithm (usually Monte Carlo simulation + historical models) recalculates win probability every ball.

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5️⃣ How Bookmakers Actually Calculate It (Simplified)

Their model uses:

Inputs

• Current score

• Overs remaining

• Wickets remaining

• Pitch conditions

• Team strength

• Player performance data

• Historical matches

• Machine learning models

Then they run thousands of simulations of the remaining match.

Example:

10,000 simulations:

Result	Times
India wins	9345
NZ wins	655

Probability:

India = 93.45%
NZ = 6.55%

Then bookmaker adds margin.

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6️⃣ Quick Example of Payout

If you bet ₹10,000 on India at 1.07

Return:

$$10,000 × 1.07 = 10,700$$

Profit = ₹700

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If you bet ₹10,000 on NZ at 8.84

Return:

$$10,000 × 8.84 = 88,400$$

Profit = ₹78,400

But probability is very low.

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Statistics plays an important role in betting either in stock market or wherever betting is involved.