Mile Svilar leads the Serie A most clean sheets market for 2026-27 at 54.5% implied probability, reflecting Roma’s strong early-season defensive record and the goalkeeper’s established form. Roma sit atop the table after three matches with multiple shutouts, building on Svilar’s prior campaigns of elite save percentages above 77% and double-digit clean sheets. Traders price in his consistency under pressure in a backline that limits high-quality chances, while rivals like Jean Butez at Como, Ivan Provedel at Lazio, and Mike Maignan at Milan remain competitive in their own solid systems. The tight clustering around mid-tier options underscores how defensive depth, fixture difficulty, and minor injuries across the league can quickly shift clean-sheet tallies in a 38-match campaign.
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Mile Svilar 55%
Jean Butez 11.2%
Mike Maignan 7.0%
Vanja Milinković-Savić 4.7%
Mile Svilar
55%
Jean Butez
11%
Mike Maignan
7%
Vanja Milinković-Savić
5%
Ivan Provedel
4%
Marco Carnesecchi
3%
Franco Israel
3%
Michele Di Gregorio
3%
Yann Sommer
3%
Elia Caprile
3%
David de Gea
3%
Łukasz Skorupski
3%
Nicola Leali
2%
Edoardo Corvi
2%
Wladimiro Falcone
2%
Mile Svilar 55%
Jean Butez 11.2%
Mike Maignan 7.0%
Vanja Milinković-Savić 4.7%
Mile Svilar
55%
Jean Butez
11%
Mike Maignan
7%
Vanja Milinković-Savić
5%
Ivan Provedel
4%
Marco Carnesecchi
3%
Franco Israel
3%
Michele Di Gregorio
3%
Yann Sommer
3%
Elia Caprile
3%
David de Gea
3%
Łukasz Skorupski
3%
Nicola Leali
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.
マーケット開始日: Aug 18, 2026, 3:00 PM ET
リゾルバー
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.
リゾルバー
0x69c47De9D...Mile Svilar leads the Serie A most clean sheets market for 2026-27 at 54.5% implied probability, reflecting Roma’s strong early-season defensive record and the goalkeeper’s established form. Roma sit atop the table after three matches with multiple shutouts, building on Svilar’s prior campaigns of elite save percentages above 77% and double-digit clean sheets. Traders price in his consistency under pressure in a backline that limits high-quality chances, while rivals like Jean Butez at Como, Ivan Provedel at Lazio, and Mike Maignan at Milan remain competitive in their own solid systems. The tight clustering around mid-tier options underscores how defensive depth, fixture difficulty, and minor injuries across the league can quickly shift clean-sheet tallies in a 38-match campaign.
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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