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Home Teams Priced 1.60-1.69: BTTS Against the Price, Era by Era

When the home side is a clear but not overwhelming favourite, both teams score slightly more often than the 1X2 and goal-line prices suggest. Here is how that plays out by era and by over 2.5 price.

Marcus CampbellWritten by BTTS specialist
Home Teams Priced 1.60-1.69: BTTS Against the Price, Era by Era
The ladder
  1. 1.93Fair BTTS Yes odds
  2. 49.6%BTTS implied by the prices
  3. 51.8%Both teams scored
  4. 7,939Matches at home 1.60-1.69
Market
BTTS
The question
With the home side priced 1.60-1.69, do both teams score more often than the 1X2 and over/under prices imply?
Sample
22 European divisions, 2005/06-2025/26 seasons; 7,939 matches at this rung out of 155,895 priced

A home price of 1.60-1.69 is one of the most common rungs on the coupon. It marks a side the market expects to win, but not by enough to shut the visitors out. My question is simple: at this price, do both teams score more often than the 1X2 and over/under prices together imply?

Across 7,939 matches in 22 European divisions, both teams scored in 51.8% of games. The prices implied 49.6%, a gap of +2.2 points, which sits outside the ±1.1 point 95% range. That makes the fair BTTS Yes price 1.93 rather than the 2.02 the prices pointed to. If you want this read applied match by match, it feeds into my BTTS picks for today page.

Rung 1BTTS climbs as the home favourite becomes less dominant

The ladder chart lines up the implied BTTS rate against the actual one for each home price band. Down at 1.30-1.39, both teams scored in 49.8% of games. By 1.60-1.69 that has risen to 51.8%, and it holds around that level through 1.70-1.79 at 51.6% and 1.80-1.89 at 51.7%.

The reason matters to a bettor. A heavy favourite tends to keep clean sheets, so BTTS sits lower at the short end. Once the home price drifts out to the 1.60-1.69 band, the away side carries enough threat to score, yet the home side is still strong enough to score too. Both ends of the pitch stay live.

BTTS up the home price ladderBTTS implied vs actual by home price, 95% range on actual
ImpliedActual95% range
1.30-1.393,932 games
47.6% → 49.8% +2.2
1.40-1.494,864 games
48.5% → 49.8% +1.3
1.50-1.597,221 games
48.9% → 50.1% +1.2
1.60-1.697,939 games
49.6% → 51.8% +2.2
1.70-1.798,104 games
49.8% → 51.6% +1.8
1.80-1.899,719 games
50.0% → 51.7% +1.7
1.90-1.999,146 games
50.5% → 51.3% +0.8
40%45%50%55%60%
View the data: btts up the home price ladder
ImpliedActual95% range
1.30-1.39 (3,932 games)47.6%49.8%±1.6
1.40-1.49 (4,864 games)48.5%49.8%±1.4
1.50-1.59 (7,221 games)48.9%50.1%±1.2
1.60-1.69 (7,939 games)49.6%51.8%±1.1
1.70-1.79 (8,104 games)49.8%51.6%±1.1
1.80-1.89 (9,719 games)50.0%51.7%±1
1.90-1.99 (9,146 games)50.5%51.3%±1

What I take from this is that 1.60-1.69 is where the actual line pulls furthest clear of the implied one. The neighbouring rung at 1.50-1.59 showed only +1.2 points (50.1% against 48.9%), while 1.70-1.79 showed +1.8 points. One caveat applies to every row: the Poisson model behind the implied figure treats each side's goals as independent, and across all 155,895 matches it runs 1.2 points under reality (51.7% actual against 50.5% implied). So the honest edge here is the gap over that baseline, which at this rung is almost double it.

Rung 2The gap held up in all three eras

A gap that turns up in one stretch of seasons and vanishes in the next is a warning sign. This chart splits the rung into three eras and plots actual minus implied BTTS for each.

The earliest era, 2005/06-2011/12, ran +1.7 points on 2,792 games. The middle era, 2012/13-2018/19, was the strongest at +2.9 points. The most recent, 2019/20-2025/26, came in at +2.3 points with an actual BTTS rate of 53.0%.

Gap to the price by eraActual minus implied BTTS, points, home 1.60-1.69
Actual minus implied
2005/06-2011/12
+1.7 pts
2012/13-2018/19
+2.9 pts
2019/20-2025/26
+2.3 pts
−4 pts0+4 pts
View the data: gap to the price by era
Actual minus implied
2005/06-2011/12+1.7 pts
2012/13-2018/19+2.9 pts
2019/20-2025/26+2.3 pts

The gap is positive in every era, and the actual rate has crept upward over time. Each era holds only around a third of the rung's games, so I would not read much into the ordering between them. The consistency is what I value: the pattern did not belong to one period of the game.

Rung 3The over 2.5 price drives most of the BTTS swing

Inside the 1.60-1.69 home rung, the over 2.5 price tells you far more about BTTS than the home price does. This chart splits the rung four ways by that goal-line price.

When over 2.5 was priced under 1.70, both teams scored in 59.4% of 1,667 games against 56.8% implied. At 2.00+ the rate fell to 47.0% across 2,429 games against 43.9% implied. That is a 12.4 point swing within a single home price band.

Inside the rung: split by over 2.5 priceBTTS implied vs actual, home 1.60-1.69
ImpliedActual95% range
Under 1.701,667 games
56.8% → 59.4% +2.6
1.70-1.841,926 games
51.8% → 53.3% +1.5
1.85-1.991,917 games
48.4% → 49.9% +1.5
2.00+2,429 games
43.9% → 47.0% +3.1
35%40%45%50%55%60%65%
View the data: inside the rung: split by over 2.5 price
ImpliedActual95% range
Under 1.70 (1,667 games)56.8%59.4%±2.4
1.70-1.84 (1,926 games)51.8%53.3%±2.2
1.85-1.99 (1,917 games)48.4%49.9%±2.2
2.00+ (2,429 games)43.9%47.0%±2

Every one of the four splits ran ahead of its implied figure, and the widest gap came in the low-goal 2.00+ group. The bookmaker's goal line is doing most of the work, so I check it before anything else when I see this home price.

Rung 4Fair BTTS Yes sits at 1.93 for this rung

The table turns each rung's actual rate into fair odds, which is 1 divided by the frequency. At 1.60-1.69 that gives 1.93 for BTTS Yes and 2.08 for BTTS No, against an implied Yes price of 2.02.

The rungs either side look similar on actual results, at 1.94 for 1.70-1.79 and 1.93 for 1.80-1.89. Shorter home prices move towards evens, at 2.01 for 1.40-1.49 and 2.00 for 1.50-1.59. There are no BTTS prices in the records, so this table cannot show whether backing the market would have returned a profit. It gives a benchmark to compare against, and that is all it claims to be.

Fair BTTS odds by price rungFair odds = 1 / actual rate; implied = from the prices
RungGamesBTTS95% rangeFair YesFair NoImplied Yes
1.40-1.494,86449.8%±1.42.011.992.06
1.50-1.597,22150.1%±1.22.002.002.04
1.60-1.697,93951.8%±1.11.932.082.02
1.70-1.798,10451.6%±1.11.942.072.01
1.80-1.899,71951.7%±1.01.932.072.00

At this price

  • Benchmark against 1.93

    Treat 1.93 as the fair BTTS Yes price at this rung. A quote shorter than that is paying less than the historical rate of 51.8% supports.

  • Check the goal line first

    Inside this rung BTTS ran from 47.0% with over 2.5 at 2.00+ to 59.4% under 1.70. The over 2.5 price sets the baseline before team news does.

  • Respect the model's bias

    The implied figure runs 1.2 points low across all matches. Count only the extra beyond that, which here is the difference between +2.2 and the baseline +1.2.

BTTS PredictionsToday's btts picksDaily predictions, read against the same price records.
Both teams to score tips →

Questions bettors ask

How often do both teams score when the home team is priced 1.60-1.69?

Across 7,939 matches in 22 European divisions, both teams scored in 51.8% of games, with a 95% range of ±1.1 points. The 1X2 and over/under prices implied 49.6%.

What are fair BTTS odds when the home side is a 1.60-1.69 favourite?

Based on the actual rate, fair odds are 1.93 for BTTS Yes and 2.08 for BTTS No. The prices on their own implied a fair Yes price of 2.02.

Does the over 2.5 price change BTTS chances for a home favourite?

Yes, heavily. Within the 1.60-1.69 home rung, BTTS landed 59.4% of the time with over 2.5 priced under 1.70, against 47.0% when it was 2.00+, a 12.4 point swing.

Marcus Campbell
Written byMarcus Campbell

I'm Marcus Campbell, a football betting writer specialising in BTTS markets, where I dig into the patterns behind both teams finding the net.

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