Plattform-Vergleich
| Plattform | JA-Quote | NEIN-Quote | Gebühr | KYC | Auszahlung | |
|---|---|---|---|---|---|---|
Polymarket (über Politik Wetten) Empfohlen polygram.ink (preferred broker) |
89% | 11% | 0 % (USDC on-chain) | Bis $1.500 ohne KYC | USDC, automatisch via UMA | Markt ansehen → |
Polymarket (direct) polymarket.com |
89% | 11% | 0% | Geo-blockiert in DE/AT/CH | USDC, on-chain | Markt ansehen → |
Kalshi kalshi.com |
— | — | Bis 7 % pro Trade | US-only, KYC erforderlich | USD | Markt ansehen → |
Betfair Exchange betfair.com |
— | — | 2-5 % Kommission | Vollständige KYC ab erstem Trade | GBP / EUR | Markt ansehen → |
Manifold Markets manifold.markets |
— | — | Spielgeld (mana) | Keine — Spielgeld | Mana (kein Cash-Out) | Markt ansehen → |
Ergebnis-Wahrscheinlichkeiten
Aktuelle marktimplizierte Wahrscheinlichkeit je Ergebnis aus dem Live-Orderbuch.
| Ergebnis | Wahrscheinlichkeit |
|---|---|
| O/U 37.5 | 89% |
| O/U 39.5 | 87% |
| O/U 41.5 | 85% |
| O/U 43.5 | 81% |
| O/U 45.5 | 75% |
| 2Q O/U 10.5 | 70% |
| O/U 47.5 | 68% |
| O/U 49.5 | 65% |
| 1Q O/U 7.5 | 65% |
| 3Q O/U 7.5 | 64% |
| 2Q O/U 13.5 | 63% |
| O/U 51.5 | 61% |
| O/U 53.5 | 57% |
| UCLA vs. Maryland | 54% |
| Spread -0.5 | 53% |
| UCLA 1H O/U 13.5 | 53% |
| O/U 55.5 | 52% |
| 1Q O/U 13.5 | 52% |
| 1H Moneyline | 52% |
| Spread -1.5 | 51% |
| 1Q O/U 10.5 | 51% |
| Maryland 1H O/U 13.5 | 51% |
| Spread -22.5 | 50% |
| Spread -19.5 | 50% |
| Spread -18.5 | 50% |
| Spread -15.5 | 50% |
| Spread -12.5 | 50% |
| Spread -15.5 | 50% |
| Spread -18.5 | 50% |
| 1H O/U 22.5 | 50% |
| 1H O/U 25.5 | 50% |
| 1H O/U 31.5 | 50% |
| 2H Spread -1.5 | 50% |
| 2H Spread -0.5 | 50% |
| 2H Spread -0.5 | 50% |
| 2H Spread -1.5 | 50% |
| 2H Spread -3.5 | 50% |
| 2H O/U 22.5 | 50% |
| 2H O/U 25.5 | 50% |
| 2H O/U 31.5 | 50% |
| 2H O/U 34.5 | 50% |
| 1Q Spread -1.5 | 50% |
| 1Q Spread -0.5 | 50% |
| 1Q Spread -1.5 | 50% |
| 2Q Spread -5.5 | 50% |
| 2Q Spread -1.5 | 50% |
| 2Q Spread -0.5 | 50% |
| 2Q Spread -1.5 | 50% |
| 2Q O/U 16.5 | 50% |
| 2Q O/U 22.5 | 50% |
| 3Q Spread -5.5 | 50% |
| 3Q Spread -1.5 | 50% |
| 3Q Spread -0.5 | 50% |
| 3Q Spread -1.5 | 50% |
| 4Q Spread -5.5 | 50% |
| 4Q Spread -1.5 | 50% |
| 4Q Spread -0.5 | 50% |
| 4Q Spread -1.5 | 50% |
| 4Q O/U 8.5 | 50% |
| 4Q O/U 11.5 | 50% |
| 4Q O/U 14.5 | 50% |
| 4Q O/U 17.5 | 50% |
| UCLA O/U 22.5 | 50% |
| UCLA O/U 25.5 | 50% |
| UCLA O/U 28.5 | 50% |
| UCLA O/U 31.5 | 50% |
| Maryland O/U 22.5 | 50% |
| Maryland O/U 25.5 | 50% |
| Maryland O/U 31.5 | 50% |
| UCLA 1H O/U 11.5 | 50% |
| UCLA 1H O/U 15.5 | 50% |
| Maryland 1H O/U 11.5 | 50% |
| Maryland 1H O/U 15.5 | 50% |
| UCLA 2H O/U 12.5 | 50% |
| UCLA 2H O/U 14.5 | 50% |
| UCLA 2H O/U 16.5 | 50% |
| Maryland 2H O/U 11.5 | 50% |
| Maryland 2H O/U 13.5 | 50% |
| Maryland 2H O/U 15.5 | 50% |
| 2H Spread -5.5 | 50% |
| 2H Spread -2.5 | 50% |
| 2H Moneyline | 50% |
| UCLA O/U 3.5 | 50% |
| Maryland O/U 3.5 | 50% |
| 2Q Moneyline | 50% |
| 3Q Moneyline | 50% |
| 4Q Moneyline | 50% |
| Both Teams to Score a Touchdown | 50% |
| Both Teams to Score a Touchdown - 1H | 50% |
| Both Teams to Score a Touchdown - Q2 | 50% |
| Both Teams to Score a Touchdown - 2H | 50% |
| Both Teams to Score a Touchdown - Q1 | 50% |
| Both Teams to Score a Touchdown - Q3 | 50% |
| Both Teams to Score a Touchdown - Q4 | 50% |
| Both Teams to Score Points - Q1 | 50% |
| Both Teams to Score Points - Q2 | 50% |
| Game Goes to Overtime | 50% |
| Both Teams to Score Points - Q3 | 50% |
| Pick-Six Scored | 50% |
| Both Teams to Score Points - Q4 | 50% |
| Kickoff or Punt Return Touchdown | 50% |
| UCLA vs. Maryland: Total Touchdowns O/U 6.5 | 50% |
| UCLA vs. Maryland: Total Touchdowns O/U 7.5 | 50% |
| UCLA Total Passing Touchdowns: O/U 0.5 | 50% |
| UCLA vs. Maryland: Total Touchdowns O/U 8.5 | 50% |
| Maryland Total Passing Touchdowns: O/U 1.5 | 50% |
| Maryland Total Passing Touchdowns: O/U 2.5 | 50% |
| UCLA Total Passing Touchdowns: O/U 1.5 | 50% |
| Maryland Total Passing Touchdowns: O/U 0.5 | 50% |
| UCLA Total Passing Touchdowns: O/U 2.5 | 50% |
| UCLA Total Passing Yards: O/U 200.5 | 50% |
| UCLA Total Passing Yards: O/U 225.5 | 50% |
| Maryland Total Passing Yards: O/U 200.5 | 50% |
| Maryland Total Passing Yards: O/U 225.5 | 50% |
| UCLA Total Passing Yards: O/U 250.5 | 50% |
| Maryland Total Passing Yards: O/U 250.5 | 50% |
| UCLA Total Rushing Yards: O/U 125.5 | 50% |
| UCLA Total Rushing Yards: O/U 150.5 | 50% |
| UCLA Total Rushing Yards: O/U 175.5 | 50% |
| Maryland Total Rushing Yards: O/U 175.5 | 50% |
| Maryland Total Rushing Yards: O/U 125.5 | 50% |
| Maryland Total Rushing Yards: O/U 150.5 | 50% |
| UCLA Total Scrimmage Yards: O/U 350.5 | 50% |
| UCLA Total Scrimmage Yards: O/U 375.5 | 50% |
| Maryland Total Scrimmage Yards: O/U 350.5 | 50% |
| Maryland Total Scrimmage Yards: O/U 375.5 | 50% |
| UCLA Total Scrimmage Yards: O/U 400.5 | 50% |
| UCLA 40+ Yard Field Goals Made: O/U 0.5 | 50% |
| Maryland Total Scrimmage Yards: O/U 400.5 | 50% |
| UCLA 40+ Yard Field Goals Made: O/U 1.5 | 50% |
| Maryland 40+ Yard Field Goals Made: O/U 1.5 | 50% |
| Maryland 40+ Yard Field Goals Made: O/U 0.5 | 50% |
| UCLA Field Goals Made: O/U 0.5 | 50% |
| UCLA Field Goals Made: O/U 1.5 | 50% |
| UCLA Field Goals Made: O/U 2.5 | 50% |
| Maryland Field Goals Made: O/U 0.5 | 50% |
| Maryland Field Goals Made: O/U 1.5 | 50% |
| Maryland Field Goals Made: O/U 2.5 | 50% |
| UCLA Total Receptions: O/U 14.5 | 50% |
| UCLA Total Receptions: O/U 19.5 | 50% |
| UCLA Total Receptions: O/U 24.5 | 50% |
| Maryland Total Receptions: O/U 19.5 | 50% |
| Maryland Total Receptions: O/U 14.5 | 50% |
| UCLA Total First Downs: O/U 19.5 | 50% |
| Maryland Total Receptions: O/U 24.5 | 50% |
| UCLA Total First Downs: O/U 21.5 | 50% |
| Maryland Total First Downs: O/U 21.5 | 50% |
| UCLA Total First Downs: O/U 23.5 | 50% |
| Maryland Total First Downs: O/U 19.5 | 50% |
| Maryland Total First Downs: O/U 23.5 | 50% |
| UCLA vs. Maryland: Total 4th Down Conversions O/U 0.5 | 50% |
| UCLA vs. Maryland: Total Successful Two-Point Conversions O/U 0.5 | 50% |
| UCLA vs. Maryland: Total Defensive/Special Teams Touchdowns O/U 0.5 | 50% |
| Spread -2.5 | 49% |
| 1H Spread -0.5 | 49% |
| 2H O/U 28.5 | 49% |
| 3Q O/U 10.5 | 49% |
| 1Q Moneyline | 49% |
| 1H O/U 28.5 | 48% |
| 1H Spread -1.5 | 47% |
| 4Q Spread -2.5 | 47% |
| Spread -0.5 | 46% |
| O/U 57.5 | 46% |
| 3Q O/U 13.5 | 46% |
| Maryland O/U 28.5 | 46% |
| Spread -1.5 | 45% |
| 1H Spread -0.5 | 45% |
| 2Q Spread -2.5 | 44% |
| Spread -2.5 | 43% |
| 1H Spread -1.5 | 43% |
| Spread -3.5 | 42% |
| O/U 59.5 | 42% |
| 2H Spread -3.5 | 40% |
| 1Q Spread -0.5 | 39% |
| Spread -4.5 | 38% |
| O/U 63.5 | 38% |
| 1H Spread -3.5 | 38% |
| Spread -3.5 | 37% |
| Spread -6.5 | 36% |
| Spread -5.5 | 36% |
| O/U 61.5 | 36% |
| 1H Spread -3.5 | 36% |
| 2Q Spread -3.5 | 35% |
| Spread -4.5 | 34% |
| 3Q Spread -3.5 | 34% |
| 3Q Spread -2.5 | 34% |
| 4Q Spread -3.5 | 34% |
| 1Q Spread -3.5 | 33% |
| Spread -5.5 | 32% |
| 2Q O/U 19.5 | 32% |
| O/U 65.5 | 31% |
| Spread -6.5 | 30% |
| 1Q Spread -3.5 | 30% |
| UCLA O/U 34.5 | 29% |
| Spread -7.5 | 28% |
| 1Q O/U 16.5 | 28% |
| 4Q O/U 20.5 | 28% |
| Spread -8.5 | 27% |
| Maryland O/U 34.5 | 27% |
| Spread -9.5 | 26% |
| 1H O/U 34.5 | 26% |
| 3Q O/U 16.5 | 26% |
| O/U 71.5 | 25% |
| O/U 67.5 | 24% |
| Spread -10.5 | 23% |
| Spread -8.5 | 23% |
| 3Q O/U 19.5 | 20% |
| Spread -12.5 | 19% |
| O/U 69.5 | 19% |
| 1Q O/U 19.5 | 19% |
| Spread -11.5 | 18% |
| Spread -16.5 | 14% |
| O/U 73.5 | 14% |
| O/U 75.5 | 14% |
| Spread -14.5 | 13% |
| O/U 77.5 | 10% |
Markt-Kontext
Basierend auf echtem Kapital beträgt die aktuelle Marktwahrscheinlichkeit für prognose: ucla vs. maryland 89%. In the upcoming college football game between UCLA and Maryland, scheduled for September 26 at 1:30PM ET: This market will resolve to "UCLA" if UCLA win the game. This market will …
Live-Daten & Statistiken
Live-Statistiken werden geladen, sobald das Spiel beginnt. Aktuelle Quoten sind oben verfügbar. Handelsvolumen: $210K.
Methodik dieser Bewertung
Politische Prognose-Märkte unterscheiden sich strukturell von Sportwetten: weniger Liquidität, längere Settlement-Zeiträume, höhere Sensitivität auf einzelne News-Events. Diese Seite zeigt die Live-Polymarket-Quote für Prognose: UCLA vs. Maryland plus Plattform-Attribute der drei Vergleichs-Anbieter, damit Sie auf einen Blick sehen, wo die liquidesten Märkte für die Frage liegen.
Auflösung & Auszahlung
Politische Märkte werden meist nach offizieller Kandidaten- oder Behörden-Bestätigung aufgelöst. Polymarket nutzt das UMA Optimistic Oracle: ein Proposer reicht das Outcome mit Bond ein, Two-Hour-Window öffnet, dann zahlt der Smart Contract USDC.
Kalshi settelt USD via CFTC-Clearinghouse, mit klar definierten Resolution Sources (z.B. AP Race Calls für Wahlen). Betfair settelt nach offiziellem Ergebnis-Eintrag der Liga/Behörde. Manifold ist Spielgeld.
Häufige Fragen
- Wie genau sind Polit-Vorhersagemärkte?
- Historisch genauer als Umfragen. Polymarkets Brier-Score auf US-Wahlen 2024 lag bei ~0,11 — besser als 538 (~0,14) und alle Mainstream-Umfragen. Märkte aggregieren Information mit echtem Skin-in-the-Game.
- Was ist die liquideste politische Plattform?
- Polymarket — mit Abstand. Das US-Präsidentschafts-Volumen 2024 lag bei ~$3,5 Mrd vs Kalshi (~$200 M) und Betfair (~$120 M). Da Polymarket in vielen Jurisdiktionen geo-blockiert ist, nutzen Trader Broker wie Politik Wetten um auf dasselbe Orderbuch zuzugreifen — ohne zusätzliche Gebühren.
- Wie schnell reagieren Polit-Märkte auf News?
- Hochliquide Märkte bewegen sich binnen Sekunden bis Minuten. Ein Trump-Tweet über die Wirtschaft kann den 'Trump 2024'-Markt 2-5 Punkte verschieben, bevor Mainstream-Medien überhaupt geschrieben haben.
- Warum unterscheiden sich Polymarket und Kalshi bei Wahlen?
- Kalshi muss CFTC-Compliance einhalten — strenge Definitionen, klare Resolution Sources, US-Bürger only mit KYC. Polymarket operiert global, ohne CFTC-Aufsicht — was tiefere Liquidität, aber auch höheres regulatorisches Risiko bedeutet.
- Welche politischen Events haben das größte Volumen?
- US-Präsidentschaftswahl, Parteinominierungen (DNC/RNC), Senate-Mehrheiten, einzelne State-Outcomes (Pennsylvania, Michigan, Wisconsin), und Bundestagswahl/EU-Wahl. Spitzenwerte liegen bei $50-500 Mio per Event.
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