The 2026-27 Serie A most clean sheets market sits in a tight cluster early in the campaign, with Mile Svilar holding a narrow 53% implied probability edge while a broad field of goalkeepers clusters near 50% or lower. Roma’s structured defensive organization has supported Svilar’s position, yet established keepers such as Mike Maignan at AC Milan and Jean Butez face comparable prospects from clubs with similarly robust backlines and recent form. Key variables include opening fixture schedules, squad rotation risks, and the absence of a dominant defensive unit, keeping outcomes closely contested as traders assess historical clean sheet trends against the inherent variability of a full season.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiSerie A: Most Clean Sheets 2026-27
Mile Svilar 54%
Jean Butez 11.2%
Mike Maignan 7.8%
Ivan Provedel 4.5%
Mile Svilar
54%
Jean Butez
11%
Mike Maignan
8%
Ivan Provedel
5%
Marco Carnesecchi
3%
Franco Israel
3%
Vanja Milinković-Savić
3%
Michele Di Gregorio
3%
Yann Sommer
3%
David de Gea
3%
Elia Caprile
3%
Nicola Leali
2%
Łukasz Skorupski
2%
Edoardo Corvi
2%
Wladimiro Falcone
2%
Mile Svilar 54%
Jean Butez 11.2%
Mike Maignan 7.8%
Ivan Provedel 4.5%
Mile Svilar
54%
Jean Butez
11%
Mike Maignan
8%
Ivan Provedel
5%
Marco Carnesecchi
3%
Franco Israel
3%
Vanja Milinković-Savić
3%
Michele Di Gregorio
3%
Yann Sommer
3%
David de Gea
3%
Elia Caprile
3%
Nicola Leali
2%
Łukasz Skorupski
2%
Edoardo Corvi
2%
Wladimiro Falcone
2%
Only clean sheets recorded in Serie A matches will count. Clean sheets in other competitions (e.g., domestic cups, UEFA Champions League, UEFA Europa League, UEFA Conference League, international matches) will not count for this market.
In the event of a tie, this market will resolve according to the official leader as determined by Serie A. If multiple leaders are announced then this market will resolve to the goalkeeper who conceded fewer goals during the 2026-27 Serie A season. If a tie still persists, this market will resolve to the goalkeeper whose listed last name comes first alphabetically.
If the 2026-27 Serie A season is canceled or not completed by June 14, 2027, the market will resolve to "Other".
The primary resolution source will be official statistics from Serie A. A consensus of credible reporting may also be used.
Pasar Dibuka: Aug 18, 2026, 3:00 PM ET
Resolver
0x69c47De9D...Only clean sheets recorded in Serie A matches will count. Clean sheets in other competitions (e.g., domestic cups, UEFA Champions League, UEFA Europa League, UEFA Conference League, international matches) will not count for this market.
In the event of a tie, this market will resolve according to the official leader as determined by Serie A. If multiple leaders are announced then this market will resolve to the goalkeeper who conceded fewer goals during the 2026-27 Serie A season. If a tie still persists, this market will resolve to the goalkeeper whose listed last name comes first alphabetically.
If the 2026-27 Serie A season is canceled or not completed by June 14, 2027, the market will resolve to "Other".
The primary resolution source will be official statistics from Serie A. A consensus of credible reporting may also be used.
Resolver
0x69c47De9D...The 2026-27 Serie A most clean sheets market sits in a tight cluster early in the campaign, with Mile Svilar holding a narrow 53% implied probability edge while a broad field of goalkeepers clusters near 50% or lower. Roma’s structured defensive organization has supported Svilar’s position, yet established keepers such as Mike Maignan at AC Milan and Jean Butez face comparable prospects from clubs with similarly robust backlines and recent form. Key variables include opening fixture schedules, squad rotation risks, and the absence of a dominant defensive unit, keeping outcomes closely contested as traders assess historical clean sheet trends against the inherent variability of a full season.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui


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