New Zealand vs Belgium

The model's prior (74% away win) is already strong, and the supplied intel reinforces it. Belgium's squad value is 14.4x New Zealand's, and their key players (De Bruyne, Tielemans, Trossard, Lukaku) are world-class, while New Zealand's best players come from lower-tier leagues. The only slight tempering factor is Doku's absence, but Belgium still has ample attacking talent. Conditions are neutral. I increase away win probability slightly to 82% to reflect the squad quality gap and key player advantage. Belgium is expected to dominate possession and chances, with New Zealand likely to defend deep. The model's top scorelines (0-1, 0-2, 0-3) align with Belgium's expected goals of 2.40 and New Zealand's 0.48. I keep the same shape but slightly boost the away win scorelines to reflect the talent gap.

• Recent form
  New Zealand's recent form WLLDL (-0.19 pts/match vs expectation) against avg opponent rank #38; Belgium's DWWDD (-0.25 pts/match) vs avg opponent rank #31. Both are in line with expectations; no strong signal. → no bearing
• Head-to-head
  No head-to-head history available. → no bearing
• Squad market value
  Belgium ranks 14th (72nd pct) with ~14.4x the squad value of New Zealand (42nd, 13th pct). This is a massive talent gap favoring Belgium. → favours away
• Key players
  Belgium's key players include De Bruyne (Napoli, recent 11G/3A in 23 apps), Tielemans (Aston Villa), Trossard (Arsenal), and Lukaku (Napoli). New Zealand's best is Wood (Nottingham Forest, 11G/2A recent) and others from lower leagues (Motherwell, Western Sydney, Port Vale). Belgium's attacking quality is far superior. → favours away
• Injuries / availability
  Belgium is without Doku (key winger) and Debast (defender), but still has De Bruyne, Tielemans, Trossard, Lukaku. New Zealand has no reported absences. → slightly reduces away edge but still strong
• Recent news
  New Zealand's squad is led by Wood aiming for first World Cup win; Belgium's golden generation is fading but they have a winnable group. No news that changes the talent assessment. → no bearing
• Match-day conditions
  BC Place is a dome with controlled climate; 16.4°C, overcast, no extreme conditions. Conditions neutral. → no bearing
• Model vs market
  No market lines supplied; model gives 74% away win. Squad value (14.4x) and key player quality strongly support the model's prior. → no divergence needed

• 0–1 21%
• 0–2 21%
• 0–3 16%
• 1–2 12%
• 0–4 10%
• 0–0 9%

Independent-Poisson rates. W/D/L and the score grid integrate the full 13×13 joint under these two parameters.