How to Read Cricket Odds: Decimal Odds, Implied Probability and Exchange Prices

Odds are probabilities in disguise

Every price on BetPro is a statement about probability. When the market shows Pakistan at 1.80 to beat India, it isn’t saying “Pakistan will win”; it’s saying “the crowd, with money at stake, thinks Pakistan win this about 56% of the time.” Once you read prices that way, betting stops being a guess about who wins and becomes a comparison between two numbers: the market’s probability and yours.

This article teaches that translation, then applies it to how an exchange like BetPro differs from a bookmaker, how to spot a price that’s wrong, and how to think about the commission. It’s a foundation for everything else on this site — the PSL strategy, the bankroll system, and trading all assume you can do this arithmetic instantly.

Decimal odds: the only format you need

BetPro, like every exchange, uses decimal odds. The number is total return per unit staked, including your stake.

Two formulas cover everything:

• Profit = stake × (odds − 1)
• Implied probability = 1 ÷ odds

So 1.80: profit is 0.80 × stake; probability is 1 ÷ 1.80 = 0.556, or 55.6%.

You’ll sometimes see fractional (4/5) or “Indian” formats (−125, or “80 paisa”) in chats. Convert them to decimal and forget them. Decimal is what the app shows and what the maths works in.

The probability table to memorise

You don’t need a calculator if you know these anchors.

A price moving from 1.80 to 1.60 isn’t “a bit shorter”; it’s the market’s probability moving from 56% to 62.5%. That framing is what lets you judge whether a wicket in the fourth over really justified a six-point swing.

Bookmaker odds vs exchange prices

The bookmaker’s margin

A bookmaker offers you one price per outcome and builds a profit into the set. In a two-outcome cricket match with no tie, fair prices might be 1.90/2.10 (52.6% + 47.6% = 100.2%, essentially fair). A bookmaker will instead show something like 1.80/1.95:

• 1 ÷ 1.80 = 55.6%
• 1 ÷ 1.95 = 51.3%
• Total = 106.9%

That extra 6.9% is the overround — the bookmaker’s built-in edge. Whatever happens, across all the money they take on both sides, they keep it. You can only ever back at the bookmaker’s price, and the price is always tilted against you.

The exchange’s spread and commission

On BetPro, the same market shows two prices per outcome: a back price (what someone will lay to you) and a lay price (what someone wants to back at). For Pakistan you might see back 1.88 / lay 1.90. The gap — 0.02 — is the spread, and it’s the only “margin” in the price itself. Add up the back prices on both sides and you’ll get something close to 100%, sometimes slightly below.

The exchange earns instead through commission on net winnings per market — around 2–3% on BetPro (details). So if you back Pakistan at 1.88 with PKR 1,000 and they win, you make PKR 880 profit, minus ~PKR 22 commission = PKR 858. Compare that to the bookmaker’s 1.80: PKR 800 profit, no commission. The exchange user keeps ~7% more on the same winning bet, and on a losing bet both lose PKR 1,000.

On liquid markets, that’s the whole case for exchanges in one paragraph. The exchange vs bookmaker page has more.

When the exchange is worse

Thin markets. If only a few users are trading a minor domestic match, the spread might be 1.70/2.20 — a 15-point gap. There’s no edge in that; a bookmaker’s 1.85/1.95 would be better. Rule: the exchange beats the bookmaker exactly when liquidity is deep, which for Pakistani users means PSL, IPL, internationals and big T20 leagues. Elsewhere, be careful.

Reading a live market

Open Match Odds for a live PSL match and you’ll see something like:

                Back          Lay
Karachi Kings   1.72  1.73  1.74  |  1.75  1.76  1.78
Lahore Qalandars 2.28 2.30 2.32  |  2.34  2.36  2.40

The three back prices are the best three offers to lay to you (best first: 1.74); the three lay prices are the best three requests to back (best first: 1.75). Amounts available at each price sit beneath (not shown here). What it tells you:

• Market probability for Karachi: roughly 1 ÷ 1.745 ≈ 57%.
• Spread: 0.01 — very liquid.
• Depth: if there’s PKR 200,000 available at 1.74, your PKR 500 bet will match instantly. If there’s PKR 3,000, a larger bet will only partly match.

The two sides should roughly complement each other: 57% + 43% ≈ 100%. When they don’t — say back prices imply 57% + 47% = 104% — the market is momentarily out of line, usually because a big bet just went through on one side. Those moments are brief and they’re the raw material of trading.

Thinking in probability, not in winners

Here’s the discipline that separates users who understand odds from users who just have opinions.

Wrong question: “Will Pakistan win?” Right question: “The market says Pakistan win this 56% of the time. Do I think it’s more or less than that?”

If you think 65% — because the pitch suits their spinners, or the opposition has a weak middle order under lights — then backing at 1.80 is value: you’re being paid as if it’s 56% when you think it’s 65%. If you think 50%, backing is negative value and laying is the right side.

Notice that you can think Pakistan are more likely than not to win and still lay them. If you think 52% and the market says 56%, laying at 1.80 is the value bet even though you expect Pakistan to win. That idea — that you bet on the price, not the outcome — is the single most important shift a new exchange user makes.

Where do your probabilities come from?

You don’t need a model. You need a habit of estimation before you look at the price.

1. Start from a base rate. In T20, the side batting second wins around 50–55% under most conditions; more under heavy dew. A side chasing 180+ wins maybe 35–40%. A side at 60/0 after six wins perhaps 70%.
2. Adjust for what you know. Pitch report, dew, form, injuries, whether a key bowler is in the XI. Shift your number by 5–10 points for each real factor, no more.
3. Write the number down. Before you look at the price. Otherwise the price anchors you.
4. Compare. Difference of 5+ points in your favour → consider a bet. Less → pass. There’s no obligation to bet.

Over a season you’ll find out whether your estimates are any good. If your “65%” backs win 65% of the time, you have an edge. If they win 52%, you don’t, and the odds table will tell you so honestly. That feedback is only possible if you estimate first and record it.

Commission changes the break-even

Because BetPro charges commission on net wins, the price you need to break even is slightly worse than it looks.

Suppose your estimate is exactly right and you back at 2.00 (50%) at 2.5% commission. Over 100 bets of PKR 1,000: you win 50 (each +1,000 minus 25 commission = +975 → +48,750) and lose 50 (−50,000). Net −1,250. You need slightly better than 50% to break even at 2.00 with commission — about 50.6%.

Rule of thumb: add half the commission rate to the implied probability to get the real hurdle. At 2.5% commission, a 2.00 price needs ~51.3% to be worth backing; a 1.50 price needs ~68%. Small, but over hundreds of bets it’s the difference between a slightly profitable season and a slightly losing one. (Commission is charged per market on net winnings, so trading in and out within a market is commissioned once on the net, not on each leg — which is another reason trading is efficient.)

Three prices that fool new users

The 1.10 “sure thing”. 91% implied. You risk PKR 1,000 to win PKR 100. Ten of these and one loss wipes out nine wins. T20 produces that one loss more than 9% of the time — 1.10 favourites in T20 lose closer to 12–15% by our desk’s observation. Persistently overpriced.

The 8.00 “long shot”. 12.5% implied. Sounds like a lottery ticket. In T20, a chasing side at 8.00 with 12 overs left and wickets in hand wins more often than 12.5% — collapses and big overs happen. Persistently underpriced by a crowd that has mentally given up on them. Small backs (or, more precisely, small lays of the favourite) here are one of the more reliable value spots.

The 2.00 “coin flip”. Users treat evens as “no edge either way”. It’s just a price. If your honest estimate is 50%, pass. If it’s 57%, that’s a big edge at 2.00.

Putting numbers on a real situation

PSL match, Multan chasing 172. After 5 overs: 41/1. Market: Multan back 2.10 / lay 2.14.

1. Base rate. Chasing 172 in T20 at a good batting venue: maybe 48% before the innings.
2. Situation. 41/1 after 5 is roughly par — required rate 8.7, wickets in hand. Slightly better than the start; call it 52%.
3. Adjustments. Dew expected later (+3). Opposition’s best death bowler injured (+3). Multan’s middle order weak against spin, and the opposition has two spinners for the middle overs (−4). Net: ~54%.
4. Compare. Market says 1 ÷ 2.12 ≈ 47%. You say 54%. Seven points in your favour → back at 2.10, 1–2% of bankroll, target lay at 1.80, stop at 2.60.

That’s reading odds. It’s not a prediction that Multan win; it’s a judgement that the price is too long, with a plan to profit if the market comes around before the result — and a cap on the loss if it doesn’t.

Practise before you pay

Everything above works with a zero-balance account: open the live markets, write down your estimate, compare with the price, and see what happens over a week. Our desk can set up a BetPro ID with no deposit so you can watch (demo ID facts); the BetPro account in Pakistan overview explains what you’re looking at. When your estimates start beating the market on paper, deposit PKR 500 and start with PKR 100 bets.