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MiracleManDan's AI World Cup
This is purely experimental. Posting for posterity, let's see if the model comes anywhere close to predictive.

1. Group Winner Value (p_group_win vs odds)

+EV bets (model p_group_win > implied from the odds):

• Turkey (D) @ +175 → +13.4% edge (model 49.8%)

• Ecuador (E) @ +390 → +13.2% edge (model 33.6%)

• Iran (G) @ +650 → +9.2% edge (model 22.5%)

• South Korea (A) @ +333 → +7.1% edge (model 30.2%)

• Switzerland (B) @ -125 → +6.0% edge (model 61.6%)

• Czech Republic (A) @ +400 → +4.9% edge (model 24.9%)

• Argentina (J) @ -300 → +4.6% edge (model 79.7%)

• Australia (D) @ +700 → +4.6% edge (model 17.1%)

• France (I) @ -250 → +4.5% edge (model 75.9%)

• Paraguay (D) @ +375 → +4.2% edge (model 25.2%)

• Colombia (K) @ +250 → +4.2% edge (model 32.8%)

(Strong fades on the other side include USA, Germany, Mexico, Canada, Belgium, etc.)

2. Advance (Yes / Qualify) Value (p_advance vs american_odds_yes)

+EV bets (model p_advance > implied from the yes odds):

• Qatar (B) @ +300 → +19.6% edge (model 44.6%)

• Australia (D) @ -110 → +12.1% edge (model 64.5%)

• Iran (G) @ -200 → +11.1% edge (model 77.7%)

• Turkey (D) @ -400 → +10.0% edge (model 90.0%)

• Paraguay (D) @ -200 → +8.6% edge (model 75.3%)

• Panama (L) @ +175 → +7.9% edge (model 44.2%)

• Uzbekistan (K) @ +162 → +7.7% edge (model 45.9%)

• Curaçao (E) @ +900 → +6.2% edge (model 16.2%)

• Japan (F) @ -350 → +4.2% edge (model 82.0%)

• South Korea (A) @ -275 → +3.8% edge (model 77.1%)

• Croatia (L) @ -450 → +3.6% edge (model 85.5%)

(Strong fades on the advance side include USA, Ghana, Canada, DR Congo, etc.)

3. Dont Advance (No) Value (model 1 - p_advance vs implied from american_odds_no)

+EV bets on the No side (model thinks the team is more likely to miss advancement than the no-odds imply):

• USA (D) @ +450 → +38.9% edge (model p_dont 57.1%)

• Ghana (L) @ +100 → +19.8% edge (model p_dont 69.8%)

• Canada (B) @ +450 → +16.2% edge (model p_dont 34.4%)

• DR Congo (K) @ -150 → +12.9% edge (model p_dont 72.9%)

• Jordan (J) @ -334 → +8.3% edge (model p_dont 85.2%)

• Mexico (A) @ +600 → +6.5% edge (model p_dont 20.8%)

• Iraq (I) @ -450 → +6.3% edge (model p_dont 88.1%)

• Tunisia (F) @ -175 → +5.4% edge (model p_dont 69.0%)

• Ivory Coast (E) @ +300 → +4.0% edge (model p_dont 29.0%)

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1-2.5% Over x.5 Penalty Shootouts (good to over 7.5 at 50c/+100)
0.5-1% Over x.5 Games go to Extra Time (good to over 10.5 at 50c/+100)
1% Winning Continent South America at 22c (good to at 30c)
1% Brazil to Win the World Cup at 8.2c (good to 15c)
0.5% Japan to Win the World Cup at 1.9c (good to 4c)

In four days the World Cup will begin, hosted jointly by the USA, Canada and Mexico. This will be the first world cup in the expanded 48 team format, with a group stage having 12 groups of 4, the top two advancing to the last 32 along with the 8 best third placed teams as ranked by points and goal difference. The European Championship has a similar format but with 24 four teams advancing to the last 16 while the World Cup had 24 teams between 1982 and 1994, with the best third placed teams format starting in 1986. Incidentally, the last time the World Cup had the best third place teams progress from the group stages was when the USA hosted the competition in 1994.

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OFFICIAL PICKS: Midterms, 2026
House Elections Projections
 
The House tends to be more responsive to midterm dynamics, but, like the Senate, swings hard in elections where some combination of the Four Factors are present -- cost of living crisis or recession; war; major scandal; betrayal or down-ballot realignment. A fun map to use is this simulator, which takes partisan averages from existing models, and plugs in the map based on your adjustment of the generic ballot edge for one party or another. https://globalelectionsimulator.com/#/usa-house
 
Historic Norms: When a combination of the Four Factors are present, this is the kind of swing you get:
1930: 52 seat swing
1946: 55 seat swing
1958: 49 seat swing
1974: 49 seat swing
1994: 54 seat swing
2006: 31 seat swing
 
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