**Cape Verde, Ghana, and several mid-tier CAF sides lead trader consensus for finishing as the worst-placed African nation at the 2026 World Cup because they enter with lower FIFA rankings, limited recent major-tournament experience, and tougher group-stage draws against higher-seeded opponents.** Debutants Cape Verde and returning DR Congo secured qualification via strong group records but sit in Pot 4 and face early tests that could limit points accumulation. Ghana, Egypt, and South Africa bring familiar names yet inconsistent qualifying form and defensive vulnerabilities that traders weigh against deeper squads from Morocco, Senegal, and Algeria. The elevated 50% share on Other reflects the wide dispersion of risk across ten qualified teams, comparable qualifying metrics, and the inherent unpredictability of group-stage outcomes in an expanded 48-team field.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · AktualisiertWeltmeisterschaft: Am schlechtesten platzierte CaF-Nation
Cape Verde 30%
Ghana 29%
Egypt 29%
South Africa 29%
Algeria
27%
Cape Verde
30%
Congo DR
28%
Egypt
29%
Ghana
29%
Ivory Coast
27%
Morocco
26%
Senegal
27%
South Africa
29%
Tunisia
27%
Cape Verde 30%
Ghana 29%
Egypt 29%
South Africa 29%
Algeria
27%
Cape Verde
30%
Congo DR
28%
Egypt
29%
Ghana
29%
Ivory Coast
27%
Morocco
26%
Senegal
27%
South Africa
29%
Tunisia
27%
If there is a tie, this market will resolve in favor of the nation that recorded fewer total wins through all main tournament rounds of the 2026 FIFA World Cup. If a tie still persists, this market will resolve in favor of the nation that scored fewer total goals through all main tournament rounds. If a tie still persists, this market will resolve in favor of the nation that conceded more total goals through all main tournament rounds. If a tie still persists, this market will resolve to the nation whose listed name comes first alphabetically.
If the 2026 FIFA World Cup is cancelled, postponed after August 2, 2026, 11:59 PM ET, or the worst-placed CAF nation cannot be determined within that timeframe, this market will resolve to "Other".
The resolution source for this market will be official information from FIFA; however, a consensus of credible reporting may also be used.
Markt eröffnet: Jun 5, 2026, 4:00 PM ET
Resolver
0x69c47De9D...If there is a tie, this market will resolve in favor of the nation that recorded fewer total wins through all main tournament rounds of the 2026 FIFA World Cup. If a tie still persists, this market will resolve in favor of the nation that scored fewer total goals through all main tournament rounds. If a tie still persists, this market will resolve in favor of the nation that conceded more total goals through all main tournament rounds. If a tie still persists, this market will resolve to the nation whose listed name comes first alphabetically.
If the 2026 FIFA World Cup is cancelled, postponed after August 2, 2026, 11:59 PM ET, or the worst-placed CAF nation cannot be determined within that timeframe, this market will resolve to "Other".
The resolution source for this market will be official information from FIFA; however, a consensus of credible reporting may also be used.
Resolver
0x69c47De9D...**Cape Verde, Ghana, and several mid-tier CAF sides lead trader consensus for finishing as the worst-placed African nation at the 2026 World Cup because they enter with lower FIFA rankings, limited recent major-tournament experience, and tougher group-stage draws against higher-seeded opponents.** Debutants Cape Verde and returning DR Congo secured qualification via strong group records but sit in Pot 4 and face early tests that could limit points accumulation. Ghana, Egypt, and South Africa bring familiar names yet inconsistent qualifying form and defensive vulnerabilities that traders weigh against deeper squads from Morocco, Senegal, and Algeria. The elevated 50% share on Other reflects the wide dispersion of risk across ten qualified teams, comparable qualifying metrics, and the inherent unpredictability of group-stage outcomes in an expanded 48-team field.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert
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