Fixed Matches Free
๐Ÿ” Login ๐Ÿ‘‘ VIP Access

โšฝ Free tips Updated daily

๐Ÿ‘‘ VIP bet tips

๐Ÿฅ‡ Join VIP Gold on Patreon

๐ŸŸฅ Cards & corners

Odds LadderCorrect Score

Home Side Priced 2.00-2.39: How Often Does It End 1-1?

When the home side is only a marginal favourite, how often does the match finish 1-1? I tested 40,274 matches against a price-based model to find the fair odds.

Theodore MarshWritten by Correct Score & match flow analyst
Home Side Priced 2.00-2.39: How Often Does It End 1-1?
The ladder
  1. +0.6%Draw return at best price
  2. 7.21Fair odds for 1-1
  3. 13.9%1-1 rate (model 13.5%)
  4. 40,274Matches with home priced 2.00-2.39
Market
Correct Score
The question
When the home side is a marginal favourite at 2.00-2.39, how often does the match finish 1-1, and what are the fair odds?
Sample
22 European league divisions, 2005/06 to 2025/26, 155,895 completed matches with pre-match 1X2 and over/under 2.5 prices

A home side at 2.00-2.39 is a favourite only on paper, and that is exactly the kind of match where I start thinking about 1-1. Across 40,274 matches in 22 European league divisions from 2005/06 to 2025/26, I wanted to know how often this rung actually ends at one apiece, and what a fair price for that scoreline looks like.

The headline answer is that 1-1 came in 13.9% of the time against 13.5% in the model, which gives fair odds of 7.21. That is slightly above what the prices implied, but it is close enough to be a reference figure rather than an edge. It is the number I check first on my daily correct score tips page whenever a home side is quoted in this band.

Rung 11-1 peaks in the middle of the home price ladder

This chart sets the model against the actual 1-1 rate at each home price rung, with the 95% range drawn around each result. The shape matters more than any single dot. At 1.60-1.79, 1-1 came in 11.6% against 12.0% in the model, and at 3.40-4.99 it fell to 12.2%. In the middle it climbs: 13.9% at our 2.00-2.39 rung and 14.2% at 2.40-2.79, where the model expected 13.7%, so the actual rate ran +0.5 points over it.

That fits how I read match flow. A short-priced favourite tends to keep pushing after an equaliser and turn 1-1 into 2-1. When the two sides are closely matched, a goal each often settles the game, because neither side is strong enough to impose a second wave.

1-1 across the home price ladderModel vs actual with 95% range
ModelActual95% range
1.60-1.7916,043 matches
12.0% โ†’ 11.6% โˆ’0.4
1.80-1.9918,865 matches
12.8% โ†’ 13.1% +0.3
2.00-2.3940,274 matches
13.5% โ†’ 13.9% +0.4
2.40-2.7923,074 matches
13.7% โ†’ 14.2% +0.5
2.80-3.3915,832 matches
13.5% โ†’ 13.2% โˆ’0.3
3.40-4.9912,428 matches
12.7% โ†’ 12.2% โˆ’0.5
6%8%10%12%14%16%18%20%
View the data: 1-1 across the home price ladder
ModelActual95% range
1.60-1.79 (16,043 matches)12.0%11.6%ยฑ0.5
1.80-1.99 (18,865 matches)12.8%13.1%ยฑ0.5
2.00-2.39 (40,274 matches)13.5%13.9%ยฑ0.3
2.40-2.79 (23,074 matches)13.7%14.2%ยฑ0.4
2.80-3.39 (15,832 matches)13.5%13.2%ยฑ0.5
3.40-4.99 (12,428 matches)12.7%12.2%ยฑ0.6

For a bettor, the takeaway is that 1-1 is not a flat percentage you can apply to every match. It bends with the price, and the 2.00-2.39 band sits near the top of the curve.

Rung 2Nearly half of all draws at this rung finish 1-1

The table breaks down every draw score at home 2.00-2.39. Any draw landed 29.6% of the time against 28.7% in the model, and 1-1 accounted for 47.0% of those draws. Next came 0-0 at 9.0% (model 8.8%, fair odds 11.09), then 2-2 at 5.5% (model 5.3%, fair odds 18.06). Draws of 3-3 or higher made up 1.1% of games.

Every draw score ran level with or slightly above the model, and none of them ran below it. 1-1 shows the largest gap at +0.4 points, but that is a nudge, not a gulf.

Draw scores at home 2.00-2.3940,274 matches
ScoreActualModelGap (pts)Fair oddsModel odds
0-09.0%8.8%+0.211.0911.38
1-113.9%13.5%+0.47.217.43
2-25.5%5.3%+0.218.0618.75
3-3 or higher1.1%1.1%0.087.9392.14
Any draw29.6%28.7%+0.93.383.49

Before going further, here is the one caveat that matters most. The model is a yardstick built from the 1X2 and over/under 2.5 prices, not a quoted correct score price. Real correct score markets carry a heavier margin, and most of these gaps sit within normal variation, so a scoreline running slightly above the model is not, on its own, a profitable bet.

Rung 3Top flights held steady while lower divisions drifted down

The heatmap splits the 1-1 rate at this rung by division tier and era. In the top divisions it ran 13.8%, 13.7% and 14.3% across the three eras. In the lower divisions it ran 14.2%, 14.0% and 13.2%.

No tier owns the 1-1 here. The lower divisions led in the earlier eras, and the top divisions have edged ahead in the most recent one.

1-1 at home 2.00-2.39 by tier and eraActual % of matches ending 1-1
2005/06-11/12
2012/13-18/19
2019/20-25/26
Top divisions
13.8%
13.7%
14.3%
Lower divisions
14.2%
14.0%
13.2%
View the data: 1-1 at home 2.00-2.39 by tier and era
2005/06-11/122012/13-18/192019/20-25/26
Top divisions13.8%13.7%14.3%
Lower divisions14.2%14.0%13.2%

What I take from this is a mild caution about second-tier games in recent seasons. The 13.2% figure is the softest in the grid. That is not enough to rule the scoreline out, but it is enough that I would not pay a premium for it on reputation alone.

Rung 4Draw returns are least negative at 2.00-2.39

This chart shows the flat-stake return from backing the draw in every match at each rung, at the main price and at the best price available. At home 2.00-2.39 the draw returned โˆ’3.4% at the main price and +0.6% at the best. The neighbouring 2.40-2.79 rung came in at โˆ’3.9% and +0.1%. At the short end, 1.60-1.79 returned โˆ’8.4% and โˆ’3.5%.

The pattern matches the first chart. The draw holds up best where the home price sits in the middle of the ladder.

Backing the draw at each home price rungFlat-stake return on the draw, %
Main priceBest price
1.60-1.79
โˆ’8.4% / โˆ’3.5%
1.80-1.99
โˆ’5.1% / โˆ’0.8%
2.00-2.39
โˆ’3.4% / +0.6%
2.40-2.79
โˆ’3.9% / +0.1%
2.80-3.39
โˆ’7.7% / โˆ’3.8%
3.40-4.99
โˆ’7.6% / โˆ’3.4%
โˆ’10.0%0+10.0%
View the data: backing the draw at each home price rung
Main priceBest price
1.60-1.79โˆ’8.4%โˆ’3.5%
1.80-1.99โˆ’5.1%โˆ’0.8%
2.00-2.39โˆ’3.4%+0.6%
2.40-2.79โˆ’3.9%+0.1%
2.80-3.39โˆ’7.7%โˆ’3.8%
3.40-4.99โˆ’7.6%โˆ’3.4%

The gap between the main and best columns is the real lesson. The best-price figure assumes the top quote was taken on every single match, so treat +0.6% as an upper bound rather than an expected profit. It does show that the price you take matters as much as the outcome you pick.

At this price

  • Anchor on 7.21

    At home 2.00-2.39, 1-1 landed 13.9% of the time, which makes 7.21 the fair price. Any correct score quote shorter than that is below what the record supports, before the extra margin is even considered.

  • Always shop the draw

    The draw at this rung returned โˆ’3.4% at the main price but +0.6% at the best price. Taking the top quote is the difference between a clear loss and roughly breaking even.

  • Rank draw scores properly

    1-1 made up 47.0% of draws here, with 0-0 well behind at 9.0% and fair odds of 11.09. If you split stakes across draw scores, weight them in that order.

Correct Score TipsToday's correct score picksDaily predictions, read against the same price records.
Today's correct score predictions โ†’

Questions bettors ask

How often does a match end 1-1 when the home team is priced 2.00-2.39?

Across 40,274 matches, 1-1 came in 13.9% of the time against 13.5% in the model. That works out to fair odds of 7.21.

What are fair odds for the draw when the home side is 2.00-2.39?

Any draw landed 29.6% of the time at this rung, which gives fair odds of 3.38. The model put the draw at 28.7%, or 3.49.

Is backing the draw at home 2.00-2.39 profitable?

Not reliably. The draw returned โˆ’3.4% at the main price and +0.6% at the best price. The best-price figure assumes the top quote was taken on every match, so treat it as an upper bound rather than a system.

Theodore Marsh
Written byTheodore Marsh

Theodore Marsh โ€” Correct Score is the market I keep returning to, mainly because the difference between a 1-0 and a 2-1 usually comes down to small tactical details most previews skip past.

Popular posts ›

◆ #1 today
🔒
◆Sure VIP Tips

Todayโ€™s full coupon, members only โ€” every locked pick across all markets, updated live each day. Unlock the complete card.

🔒 Unlock today’s picks →
Most popular today♥ 537
Correct Score Tips
Correct Score Tips

Todayโ€™s most likely final scorelines โ€” read through scoring patterns, form and matchup, with the reasoning behind each call.

Read the breakdown →
1X2 Bet Tips
1X2 Bet Tips

Todayโ€™s match result picks โ€” home, draw or away โ€” read through form, head-to-head and motivation.

Read the breakdown →
Both Teams To Score Tips
Both Teams To Score Tips

Todayโ€™s BTTS calls built on scoring and conceding trends, lineups and matchup โ€” with the reasoning shown.

Read the breakdown →
Over / Under Goals Tips
Over / Under Goals Tips

Daily totals picks read through attacking output, defensive records and game tempo โ€” with the case behind each line.

Read the breakdown →