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Home Priced 1.70-1.80: Home Win, 2-1, BTTS or Over 2.5?

A home favourite at 1.70-1.80 wins a little more often than its price says. The goals markets, by contrast, land almost exactly where the prices put them.

Hazel ThorntonWritten by Multi-market football analyst
Home Priced 1.70-1.80: Home Win, 2-1, BTTS or Over 2.5?
The ladder
  1. +1.2%best-price return, Home win
  2. +3.6std errors for 1X2, the best fit
  3. 56.0% vs 54.0%Home win: actual vs expected
  4. 8,104matches at home 1.70-1.80
Market
1X2
The question
When the home side is priced 1.70-1.80, which of the four markets drifts furthest from its price?
Sample
22 European divisions, 2005/06 to 2025/26, 155,895 matches with 1X2 and over/under 2.5 prices

A home price between 1.70 and 1.80 is one of the most common sights on a coupon: a clear favourite, but not a heavy one. I wanted to know which market drifts furthest from that price once the matches are played. So I took 8,104 games at this rung from 22 European divisions between 2005/06 and 2025/26. I then checked the home win, the 2-1, both teams to score and Over 2.5 against what the prices implied.

The result line carries the clearest signal, and the goals markets do not. Home sides won 56.0% of these matches against 54.0% priced, a gap of +3.6 standard errors. Plenty of the favourites on my 1X2 picks for today page sit on this rung, and this is the context I'd want in front of me before backing one.

Rung 1The home win is the only clear outlier here

The scorecard takes the strongest side in each market and ranks it by how far it beat its expected rate, measured in standard errors. The home win leads at +3.6. The 2-1 follows at +1.5, then Over 2.5 at +1.1 and BTTS yes at +0.9. In plain terms, only the first of those is comfortably outside what chance alone would produce.

I'd look at the fair odds column first. The home win's margin-free price was 1.85, but what actually happened says it was worth 1.79. That is a small difference on paper. It still matters when you see this price again and again over a season.

Which market fits this rung best?Each market's strongest side, ranked by gap in standard errors
MarketBest sideActual ±95%Fair oddsGap (pts)Return at fairStd errors
1X2Home win56.0% ±1.11.79+2.0+3.7%+3.6
Correct score2-110.6% ±0.79.47+0.5+4.8%+1.5
Over/under 2.5Over 2.549.8% ±1.12.01+0.6+1.3%+1.1
BTTSBTTS yes51.6% ±1.11.94+0.5+1.0%+0.9

Std errors = gap divided by its sampling error; beyond ±2.0 is unlikely to be chance alone.

One caveat runs through everything below. Choosing the best side in each market flatters whichever one comes out on top. The correct score and BTTS gaps are also measured against margin-free model odds, so a real price on those markets would have to clear its margin before any of that gap reached your pocket. Treat this as a description of the past, not a promise.

Rung 2Most sides land almost exactly on their price

This chart sets every side at the rung against its expected rate. Each dot pair is expected versus actual, with the 95% range around it. Only 2 of the 10 sides sit more than 2.0 standard errors from where they should be, and the home win is one of them. On the other side of the 1X2, the draw and the away win both landed a little below their prices, which is the flip side of the home side outrunning its own.

The likeliest scorelines tell a similar story. The 1-0 landed exactly as the model expected, the 1-1 came in slightly short, and the 2-1 landed 10.6% against 10.1% modelled.

Every side at home 1.70-1.80Expected (margin-free or model) vs actual rate, 95% range
ExpectedActual95% range
1X2: Home winpriced 1.85 · fair 1.79
54.0% → 56.0% +2
1X2: Drawpriced 3.82 · fair 3.94
26.2% → 25.4% −0.8
1X2: Away winpriced 5.04 · fair 5.37
19.8% → 18.6% −1.2
O/U 2.5: Over 2.5priced 2.03 · fair 2.01
49.2% → 49.8% +0.6
O/U 2.5: Under 2.5priced 1.97 · fair 1.99
50.8% → 50.2% −0.6
BTTS yespriced 1.96 · fair 1.94
51.1% → 51.6% +0.5
BTTS nopriced 2.05 · fair 2.07
48.9% → 48.4% −0.5
Correct score: 1-0priced 8.09 · fair 8.05
12.4% → 12.4% 0
Correct score: 1-1priced 8.23 · fair 8.51
12.2% → 11.7% −0.5
Correct score: 2-1priced 9.92 · fair 9.47
10.1% → 10.6% +0.5
0%10%20%30%40%50%60%

Correct-score rows are the three likeliest scorelines at this rung by the price-fitted model.

View the data: every side at home 1.70-1.80
ExpectedActual95% range
1X2: Home win (priced 1.85 · fair 1.79)54.0%56.0%±1.1
1X2: Draw (priced 3.82 · fair 3.94)26.2%25.4%±0.9
1X2: Away win (priced 5.04 · fair 5.37)19.8%18.6%±0.8
O/U 2.5: Over 2.5 (priced 2.03 · fair 2.01)49.2%49.8%±1.1
O/U 2.5: Under 2.5 (priced 1.97 · fair 1.99)50.8%50.2%±1.1
BTTS yes (priced 1.96 · fair 1.94)51.1%51.6%±1.1
BTTS no (priced 2.05 · fair 2.07)48.9%48.4%±1.1
Correct score: 1-0 (priced 8.09 · fair 8.05)12.4%12.4%±0.7
Correct score: 1-1 (priced 8.23 · fair 8.51)12.2%11.7%±0.7
Correct score: 2-1 (priced 9.92 · fair 9.47)10.1%10.6%±0.7

The goals markets are close to a coin flip, and they were priced like one. Over 2.5 landed 49.8% against 49.2% priced, and BTTS yes landed 51.6% against 51.1% expected. I can't find anything in either that the price hadn't already absorbed.

Rung 3The home edge grows as the favourite gets shorter

Placing this rung on the wider ladder helps explain it. At 1.40-1.50 home sides won 68.8% against 65.4% expected over 4,864 games, the widest gap shown. At the other end, 2.00-2.20 shows 45.2% actual against 45.3% expected over 20,457 games, which is essentially no gap at all.

Home win up and down the ladderHome price rungs 1.40 to 2.20, expected vs actual
ExpectedActual95% range
1.40-1.504,864 games
65.4% → 68.8% +3.4
1.50-1.607,221 games
60.7% → 62.1% +1.4
1.60-1.707,939 games
57.0% → 57.9% +0.9
1.70-1.808,104 games
54.0% → 56.0% +2
1.80-1.909,719 games
51.2% → 52.0% +0.8
1.90-2.009,146 games
48.6% → 48.8% +0.2
2.00-2.2020,457 games
45.3% → 45.2% −0.1
40%45%50%55%60%65%70%75%
View the data: home win up and down the ladder
ExpectedActual95% range
1.40-1.50 (4,864 games)65.4%68.8%±1.3
1.50-1.60 (7,221 games)60.7%62.1%±1.1
1.60-1.70 (7,939 games)57.0%57.9%±1.1
1.70-1.80 (8,104 games)54.0%56.0%±1.1
1.80-1.90 (9,719 games)51.2%52.0%±1
1.90-2.00 (9,146 games)48.6%48.8%±1
2.00-2.20 (20,457 games)45.3%45.2%±0.7

This rung sits in the middle of a fairly smooth slope. The shorter the home price, the more the favourite tends to outrun it. That reassures me more than any single number, because it suggests a consistent pricing habit rather than a one-off quirk at 1.70-1.80.

Rung 4The gap holds across tiers but has narrowed lately

Splitting the sample is how I test whether a finding is sturdy or fragile. In top flights at this rung, 3,212 matches, the home win gap is +2.3 points. In lower divisions, 4,892 matches, it is +1.8 points. The gap is positive in both tiers, and slightly stronger where the markets are deepest.

By era, the gap runs +2.3 points, then +2.2 points, then +1.5 points in the most recent stretch. It hasn't vanished, but it has eased. The goals columns stay small throughout, and BTTS yes even dips below zero in the middle era.

Gap by league tier and eraActual minus expected, percentage points, best side per market
Home win
Score 2-1
Over 2.5
BTTS yes
Top flights (3,212)
2.3 pts
0.5 pts
0.6 pts
0.8 pts
Lower divisions (4,892)
1.8 pts
0.5 pts
0.6 pts
0.3 pts
2005/06-11/12 (2,597)
2.3 pts
0.7 pts
0.7 pts
0.6 pts
2012/13-18/19 (2,698)
2.2 pts
0 pts
0.4 pts
−0.2 pts
2019/20-25/26 (2,809)
1.5 pts
0.7 pts
0.8 pts
1 pts
View the data: gap by league tier and era
Home winScore 2-1Over 2.5BTTS yes
Top flights (3,212)2.3 pts0.5 pts0.6 pts0.8 pts
Lower divisions (4,892)1.8 pts0.5 pts0.6 pts0.3 pts
2005/06-11/12 (2,597)2.3 pts0.7 pts0.7 pts0.6 pts
2012/13-18/19 (2,698)2.2 pts0 pts0.4 pts−0.2 pts
2019/20-25/26 (2,809)1.5 pts0.7 pts0.8 pts1 pts

Rung 5The margin still beats every priced side at average

This is the chart that keeps me honest. At the average price, 5 of the 5 priced 1X2 and over/under sides lost money at this rung. The home win was the least bad at −2.9%, and the away win was the worst at −12.1%.

Only the home side finishes positive at the best available price, where it moves to +1.2%. The away win improves to −4.5% and stays negative.

Flat-stake return on the priced sides1X2 and over/under 2.5 at this rung, 1 unit per bet
At average priceAt best price
Home win
−2.9% / +1.2%
Draw
−9.1% / −4.5%
Away win
−12.1% / −4.5%
Over 2.5
−5.2% / −0.7%
Under 2.5
−7.5% / −3.4%
−14.0%0+14.0%

Correct score and BTTS have no price in the records, so they are judged against margin-free model odds only.

View the data: flat-stake return on the priced sides
At average priceAt best price
Home win−2.9%+1.2%
Draw−9.1%−4.5%
Away win−12.1%−4.5%
Over 2.5−5.2%−0.7%
Under 2.5−7.5%−3.4%

What I take from this is simple. The home win's edge is visible in the data, but it is thin enough that the bookmaker's margin swallows it unless you shop for the price. This is not a system. It is a reason to prefer the result line over the goals markets at this rung, and to be fussy about where you place the bet.

At this price

  • Favour the result line

    At this rung the home win beat its price by +3.6 standard errors. Over 2.5 and BTTS yes sat within normal noise at +1.1 and +0.9.

  • Shop for the price

    The home win returned −2.9% at the average price but +1.2% at the best available price. The odds you take decide which side of zero you land.

  • Leave the away side alone

    The away win was the worst priced side at −12.1% at average, and it still lost −4.5% at the best price.

1X2 PredictionsToday's 1x2 picksDaily predictions, read against the same price records.
Home draw away predictions →

Questions bettors ask

How often does a home team priced 1.70-1.80 actually win?

Across 8,104 matches, home sides at this price won 56.0% of the time against 54.0% implied. That works out to fair odds of 1.79.

Is Over 2.5 a good bet when the home side is priced 1.70-1.80?

Over 2.5 landed 49.8% against 49.2% priced, a gap of only +1.1 standard errors, which is within normal noise. It also lost money at the average price, so the price looks about right.

Do both teams score often when the home favourite is 1.70-1.80?

BTTS yes landed 51.6% against a model expectation of 51.1%, giving fair odds of 1.94. The gap of +0.9 standard errors is too small to treat as an edge.

Hazel Thornton
Written byHazel Thornton

Hazel Thornton here. I cover whichever market fits the match best — sometimes BTTS, sometimes a goal total, sometimes the result. I'd rather pick the right tool than force every fixture into the same one.

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