The 2026/27 UEFA Conference League league phase features 36 teams from 30 nations in a single table where each side plays six matches, three home and three away. With fixtures only drawn in late August and matchday one set for mid-October, no results yet shape the standings, leaving trader consensus evenly distributed across established clubs like Brighton & Hove Albion, Atalanta, Ajax, SC Freiburg and Monaco alongside Danish sides AGF Aarhus, FC Midtjylland and FC Copenhagen. Coefficient-based pots produced varied schedules that offer every contender realistic paths to high points totals through favorable home ties and winnable away fixtures against lower-ranked opponents. This structural parity, combined with the absence of early form data and the potential for upsets in a condensed schedule, sustains the tight bunching of implied probabilities.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日AGF Aarhus 46%
Ajax 41%
Midtjylland 41%
Lugano 41%
AGF Aarhus
46%
Ajax
41%
Midtjylland
41%
Lugano
41%
Egnatia
41%
Brighton & Hove Albion
41%
Monaco
41%
Red Star Belgrade
41%
Lincoln Red Imps
41%
Jablonec
41%
CSKA Sofia
41%
Mjallby AIF
41%
Twente
41%
Nordsjaelland
41%
Thun
41%
Hearts
41%
Braga
40%
SC Freiburg
40%
Gent
40%
Panathinaikos
40%
Getafe
40%
Kairat
40%
Borac Banja Luka
40%
Sint-Truiden
40%
Inter Club d'Escaldes
40%
Atalanta
40%
Copenhagen
40%
Pafos FC
40%
Brann
40%
Trabzonspor
40%
Universitatea Craiova
40%
Riga
40%
Kauno Zalgiris
40%
KuPS Kuopio
40%
Hajduk Split
39%
Iberia 1999
35%
AGF Aarhus 46%
Ajax 41%
Midtjylland 41%
Lugano 41%
AGF Aarhus
46%
Ajax
41%
Midtjylland
41%
Lugano
41%
Egnatia
41%
Brighton & Hove Albion
41%
Monaco
41%
Red Star Belgrade
41%
Lincoln Red Imps
41%
Jablonec
41%
CSKA Sofia
41%
Mjallby AIF
41%
Twente
41%
Nordsjaelland
41%
Thun
41%
Hearts
41%
Braga
40%
SC Freiburg
40%
Gent
40%
Panathinaikos
40%
Getafe
40%
Kairat
40%
Borac Banja Luka
40%
Sint-Truiden
40%
Inter Club d'Escaldes
40%
Atalanta
40%
Copenhagen
40%
Pafos FC
40%
Brann
40%
Trabzonspor
40%
Universitatea Craiova
40%
Riga
40%
Kauno Zalgiris
40%
KuPS Kuopio
40%
Hajduk Split
39%
Iberia 1999
35%
If at any point it becomes impossible for the listed club to finish first in the league phase (e.g. they are mathematically eliminated), the associated market will resolve to "No".
If two or more clubs are level on points, the ranking will be determined according to UEFA's official tie-breaker criteria as published for the competition.
If the 2026-27 UEFA Conference League league phase is canceled or not completed by January 31, 2027, 11:59 PM ET, this market will resolve to "Other".
The primary resolution source will be official information from UEFA. A consensus of credible reporting may also be used.
マーケット開始日: Sep 8, 2026, 12:56 PM ET
リゾルバー
0x69c47De9D...If at any point it becomes impossible for the listed club to finish first in the league phase (e.g. they are mathematically eliminated), the associated market will resolve to "No".
If two or more clubs are level on points, the ranking will be determined according to UEFA's official tie-breaker criteria as published for the competition.
If the 2026-27 UEFA Conference League league phase is canceled or not completed by January 31, 2027, 11:59 PM ET, this market will resolve to "Other".
The primary resolution source will be official information from UEFA. A consensus of credible reporting may also be used.
リゾルバー
0x69c47De9D...The 2026/27 UEFA Conference League league phase features 36 teams from 30 nations in a single table where each side plays six matches, three home and three away. With fixtures only drawn in late August and matchday one set for mid-October, no results yet shape the standings, leaving trader consensus evenly distributed across established clubs like Brighton & Hove Albion, Atalanta, Ajax, SC Freiburg and Monaco alongside Danish sides AGF Aarhus, FC Midtjylland and FC Copenhagen. Coefficient-based pots produced varied schedules that offer every contender realistic paths to high points totals through favorable home ties and winnable away fixtures against lower-ranked opponents. This structural parity, combined with the absence of early form data and the potential for upsets in a condensed schedule, sustains the tight bunching of implied probabilities.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日


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