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Won Map 1 of a Bo3: Clean 2-0 or Three Maps? Score Odds (Model)

A model of best-of-three map series shows how much map 1 really settles, how often an upset steal holds, and what fair correct-score prices look like at the break.

Omar Al MansooriWritten by eSports Predictions specialist
Won Map 1 of a Bo3: Clean 2-0 or Three Maps? Score Odds (Model)
Checkpoint
Between maps
Question
In a model of best-of-three series with map picks, once a team has won map 1, how often does the series finish 2-0, 2-1 or 1-2?
Sample
Model only: simulated best-of-three and best-of-five map series, no historical records; exact integration, neutral-map chances 55% to 70%, map picks worth 0.25 on the logit scale
ScoreboardBetween maps

Model studyEvery number on this page is calculated from the rules of the sport and stated assumptions. These are not historical match results.

Map 1 is over in a best-of-three and the live correct-score market has already moved. The question I always ask at that moment is simple: how much has that first map actually settled? This is a model study, not a record of real matches. It runs simulated series with map picks and shared series-day form so we can see what the scoreline should look like from there.

The headline answer: in the model, a 65% map favourite that wins its own map 1 pick goes on to win 2-0 60.7% of the time, but still loses 1-2 14.2% of the time. Flip it, and an underdog that steals the favourite's pick only sweeps 43.8% of the time, while the favourite comes back to win 35.9% of the time. My esports betting tips page is built on the same idea. One map is information, not a verdict.

Break 1Map 1 winners close it far less often than the price implies

Every bar here is the final series score from the map 1 winner's side, with the favourite having picked map 1. The top block covers favourites that won their own pick. The bottom block covers underdogs that took that pick away from them. Columns run from a 55% to a 70% neutral-map favourite.

Look at the top half first. A 55% favourite that wins its own pick sweeps 50.9% of the time, which is barely better than a coin flip, and loses 1-2 22.3% of the time. At 70% the sweep climbs to 65.8% and the comeback loss shrinks to 10.8%. Even the strongest favourite in the grid still drops a series from a map up often enough that I would never treat the score as finished.

Final Bo3 score for the map 1 winner (fav picked map 1)Map chance = favourite chance on a neutral map; model, no records
Wins 2-0Wins 2-1Loses 1-2
Fav won map 1 ยท 55%
51%27%22%
Fav won map 1 ยท 60%
56%26%18%
Fav won map 1 ยท 65%
61%25%14%
Fav won map 1 ยท 70%
66%23%11%
Dog won map 1 ยท 55%
54%21%25%
Dog won map 1 ยท 60%
49%21%30%
Dog won map 1 ยท 65%
44%20%36%
Dog won map 1 ยท 70%
39%19%42%
View the data: final bo3 score for the map 1 winner (fav picked map 1)
Wins 2-0Wins 2-1Loses 1-2
Fav won map 1 ยท 55%50.9%26.8%22.3%
Fav won map 1 ยท 60%55.7%26.2%18.1%
Fav won map 1 ยท 65%60.7%25.1%14.2%
Fav won map 1 ยท 70%65.8%23.4%10.8%
Dog won map 1 ยท 55%53.8%21.0%25.2%
Dog won map 1 ยท 60%48.8%20.9%30.3%
Dog won map 1 ยท 65%43.8%20.3%35.9%
Dog won map 1 ยท 70%38.5%19.4%42.1%

The bottom half is the part I find most useful. When the underdog steals the pick of a 70% favourite, it sweeps only 38.5% of the time. The model is saying that a single upset map is weak evidence against a strong favourite. Its series-day form term gets reweighted, but the quality gap mostly survives.

Break 2Whose pick map 1 was changes the sweep chance sharply

This heatmap isolates the 2-0 outcome and splits it by who won map 1 and whose pick it was. The logic is mechanical. Map 2 belongs to whoever did not pick map 1, so winning on the opponent's map means the next map is your own.

For a 65% favourite, winning its own pick leads to a sweep 60.7% of the time. Winning on the underdog's pick lifts that to 71.8%, because map 2 is then the favourite's comfort map. The underdog row is starker still. An underdog that wins its own map 1 pick closes 2-0 only 32.1% of the time against a 65% favourite, and just 27.5% against a 70% favourite, because it now has to beat that favourite on their map.

Chance the map 1 winner closes it 2-0By who won map 1 and whose pick it was; columns = neutral-map chance
55%
60%
65%
70%
Fav won own pick
50.9%
55.7%
60.7%
65.8%
Fav won dog pick
63.1%
67.5%
71.8%
76.1%
Dog won own pick
41.3%
36.7%
32.1%
27.5%
Dog won fav pick
53.8%
48.9%
43.8%
38.5%
View the data: chance the map 1 winner closes it 2-0
55%60%65%70%
Fav won own pick50.9%55.7%60.7%65.8%
Fav won dog pick63.1%67.5%71.8%76.1%
Dog won own pick41.3%36.7%32.1%27.5%
Dog won fav pick53.8%48.9%43.8%38.5%

This is where I would sweat the details in a real veto. The model gives a pick a fixed bump of 0.25 on the logit scale, roughly six points around even. Teams with a genuine specialist map or a thin pool can sit well away from that. The model itself notes that stronger picks would push more series to a third map.

Break 3Fair correct-score prices after map 1 for each favourite

Here the probabilities become model fair odds with no margin, quoted from the map 1 winner's side. For a 65% favourite that has won its own pick, the fair prices are 2-0 at 1.65, 2-1 at 3.99 and a 1-2 loss at 7.04. After an underdog steal against the same favourite, the fair prices are underdog 2-0 at 2.28, 2-1 at 4.92 and 1-2 at 2.79.

That last number is the one I watch. Live books tend to react hard to an upset map, and a favourite comeback priced near 2.79 is the model's reference point, not a reason to bet by itself. If the live price is noticeably longer and I still believe the pre-match quality gap, that is when it earns a closer look.

Model fair odds for the series score after map 1Favourite picked map 1; odds for the map 1 winner
Map chanceFav 2-0Fav 2-1Fav 1-2Dog 2-0Dog 2-1Dog 1-2
55%1.973.734.481.864.763.96
60%1.793.825.542.054.793.30
65%1.653.997.042.284.922.79
70%1.524.279.302.605.172.37

My caveat applies to every figure in this piece. These are outputs of stated assumptions about pick strength and day-to-day form, not results from any real team or event. They only help if your read of the true map edge is right in the first place.

At the break

  • Check whose pick it was

    A favourite that wins the underdog's pick sweeps 71.8% of the time at 65%, against 60.7% after winning its own pick. Read the veto before you read the score.

  • Respect the favourite's comeback

    After an underdog steals a 65% favourite's pick, the favourite still wins the series 35.9% of the time in the model. Compare any live comeback price with the 2.79 fair mark.

  • Fade sweeps on thin edges

    A 55% favourite that wins its own map 1 closes 2-0 only 50.9% of the time. Short 2-0 prices on near-even matchups deserve scepticism.

Esports PredictionsToday's esports picksDaily predictions, read with the same interval numbers in mind.
Map betting predictions โ†’

Questions bettors ask

If the favourite wins map 1 in a Bo3, how often does it win 2-0?

In the model, a 65% favourite that wins its own map 1 pick finishes 2-0 60.7% of the time, 2-1 25.1% and loses 1-2 14.2%. Across 55% to 70% favourites, that sweep chance runs from 50.9% to 65.8%.

Can a favourite still win the series after losing map 1?

Yes, and fairly often in the model. After an underdog steals a 65% favourite's map 1 pick, the favourite comes back to win 35.9% of the time, which equates to fair odds of 2.79.

What are fair correct-score odds after the favourite wins map 1?

For a 65% favourite that won its own pick, the model's fair odds are 2-0 at 1.65, 2-1 at 3.99 and 1-2 at 7.04. These carry no bookmaker margin and are a reference for judging live prices, not real results.

Omar Al Mansoori
Written byOmar Al Mansoori

eSports writer at htft.tips, based in Dubai. Form, roster moves and the live meta matter far more than a famous name.

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