Serbia vs. Germany - Exact Score

根據「Serbia vs. Germany - Exact Score」的最新預測市場資料，交易者已形成強烈共識。

目前，Serbia 0 - 2 Germany 以壓倒性的 11% 獲勝機率主導市場；Serbia 1 - 2 Germany 以 10.5% 位居第二，Serbia 0 - 3 Germany 以 9.5% 排名第三。該市場的下注量已達 $129.9K，反映出市場的高度關注。

為了更好地評估各潛在結果的位置，可依據隱含機率與合約定價將市場劃分為三個明顯的交易梯隊：

🥇 第一梯隊：絕對領跑者

• Serbia 0 - 2 Germany (11%)：Serbia 0 - 2 Germany 目前擁有最高機率，深受訂單簿青睞。看好該結果的交易者面對的「Buy Yes」合約價為 11¢，顯示出市場的高度確信。

🥈 第二梯隊：主要挑戰者

• Serbia 1 - 2 Germany (10.5%)：作為最可行的替代選項，Serbia 1 - 2 Germany 保持著 10.5% 的成真機率，其「Buy Yes」份額目前成交價為 11¢。
• Serbia 0 - 3 Germany (9.5%)：以 9.5% 的機率位列第三，市場對 Serbia 0 - 3 Germany 持謹慎懷疑態度，除非勢頭轉變，否則視其為外圍黑馬。

🥉 第三梯隊：長尾選項（合計約 69%）

在前三名之外，還有大量宏觀變數與冷門結果被持續追蹤。儘管單個機率偏低，但它們是投機交易者的重要對沖：

• 替代選項：包括 Serbia 0 - 1 Germany (8.5%)、Serbia 1 - 3 Germany (8%)，以及 Serbia 0 - 4 Germany (6%)。
• 投機成交：儘管統計機率偏低，像 Serbia 1 - 4 Germany 這類長尾合約仍吸引著可觀的關注。

In the upcoming UEFA Nations League game between Serbia and Germany, originally scheduled for Friday, November 13, 2026 at 2:45 PM ET (as of creation of the first market related to the event): This market will resolve based on the final score of the Serbia vs. Germany match, considering only the result at the end of 90 minutes of regulation plus stoppage time; extra time and penalty shoot-outs are excluded. If the actual score is not one of the explicitly listed outcomes, the market resolves to "Any Other Score." If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand. Otherwise, the following no-result provisions apply. If the match is canceled, does not start by Sunday, November 15, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve to "0-0". The following abandonment rules apply only when this market's outcome was not already definitively determined under its rules before abandonment. If the match is abandoned, this market will resolve according to the official ruling of the governing body or event organizers on the abandoned match. If a result is awarded by Sunday, November 15, 2026, 11:59 PM ET that determines this market's outcome, this market will resolve based on the awarded result, regardless of the score as played. If no such result is awarded and the result as played at the time of abandonment is declared to stand by Sunday, November 15, 2026, 11:59 PM ET, this market will resolve based on the match as played. If the match is replayed or resumed from the point of abandonment and has an official result by Sunday, November 15, 2026, 11:59 PM ET, this market will resolve based on the completed result. In any other case, this market will resolve to "0-0". Recognizable abbreviations, alternate or erroneous spellings, sponsor names, regional identifiers, and minor formatting differences in a team's or player's name will not affect resolution, provided the intended team or player can be clearly and uniquely identified as a participant in the listed fixture or competition. If a listed name has no reasonable connection to any participant, or could reasonably refer to more than one participant such that the intended team or player cannot be determined, this market will resolve as it would if the listed fixture had been canceled entirely; a listed participant who cannot be identified does not count as inactive or absent. The primary resolution source for this market will be official match information from UEFA Nations League (https://www.uefa.com/uefanationsleague/). If the governing body or event organizers have not published final statistics within 2 hours of the event's conclusion, data from Flashscore may be used; if Flashscore data is unavailable, data from Sofascore may be used; if neither is available, a consensus of credible reporting may be used. Revisions to officially declared final scores made after market resolution will not be accounted for in determining the outcome. If no acceptable data is available within 24 hours of the event's conclusion, this market will resolve to "0-0".

人群共識與投機成交塑造了更宏觀的預測市場，而我們的量化演算法提供了資料驅動的反向視角。透過分析基本面訊號、底層趨勢與歷史分布，我們的 AI 估值模型為每個結果獨立測算出一個「公允價值」機率。

將該公允價值與當前交易價值對比，可揭示出重大背離——即期望值（EV）差。正 EV 差代表統計上被低估的結果，而負 EV 差則提示市場可能存在反應過度。

頂級 AI Alpha 與錯誤定價套利機會

根據最新一輪資料模型測算，以下幾個關鍵合約存在顯著偏離：

• 最被高估的結果：Serbia 0 - 3 Germany 當前交易價為 9.5%，但我們的 AI 測算其公允價值僅為 0.7%，形成 -8.8% 的較大負 EV 差，表明人群可能過度炒作該結果、把溢價推得過高。