Automated match insights, pre-game analysis & post-match reviews from https://xitter.cf/t.co/0I8onnKTxy
Joined February 2026
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🧵 Tigre 1.2 xG vs Belgrano 0.9 looks like a clear home advantage. But that headline number hides a massive dependency: without Nahuel Banegas, Tigre's output drops to zero.
See how the model adjusts for league and defense:
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129
1.0 pre-game xG marked the starting point for Córdoba. They finished with 10 shots, 1 on target, and a final xG of 0.4. Tucumán turned 1.2 into 0.7 over ninety minutes.
The numbers below ↓↓↓
Model baseline: Central Cordoba SdE 1.0 xG, Atlético Tucumán 1.2 xG. Central Cordoba SdE's attacking limitation pulls the model's projection down. 1-1 is the top scoreline.
97
1.3 pre-game xG went to Ind. Rivadavia. They turned that low rating into 21 shots and 7 on target. Huracán sought a routine clean sheet, facing a continuous, active threat.
Match analysis below ↓↓↓
The popular take is that Independiente Rivadavia will grind out a narrow home result in a low-scoring clash. However, the model accounts for Huracán's attacking output, which shifts the projection. The top scoreline is 1-1.
96
🧵 Coritiba 1.2 to Cruzeiro 1.3 looks like a level matchup. But the raw xG ignores how severely each team's current form and attack limits are dragging down those numbers.
Two massive negatives and one positive spin this match on its head:
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106
The xG split is Querétaro 1.0, América 1.2. América's attacking limitation pulls the model's projection down. The top scoreline is 1-1.
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139
Full analysis + all probabilities:
dumblescore.com/en/matchcent…
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France is projected at 1.2 xG, with Spain at 1.2 xG. The model applies a negative adjustment for France's defensive suppression. 1-1 is the top scoreline.
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28
Argentina opened the match with a 1.1 pre-game xG. They finished with 22 total shots, forcing 7 on target. Switzerland moved in the opposite direction, turning 1.0 into 0.6.
The numbers below ↓↓↓
🧵 Argentina 1.1 vs Switzerland 1.0 looks like a dead heat. But Argentina's attack carries a -0.40 penalty that breaks the symmetry.
The defensive adjustments on both sides reveal exactly why this isn't a level playing field.
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86
🧵 Argentina 1.1 vs Switzerland 1.0 looks like a dead heat. But Argentina's attack carries a -0.40 penalty that breaks the symmetry.
The defensive adjustments on both sides reveal exactly why this isn't a level playing field.
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🧵 Argentina's 1.5 xG to Egypt's 0.7 looks straightforward.
It isn't.
One of Argentina's own attacking inputs already pulls -0.31 from that number.
It's far from the only shift.
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Spain arrived with 1.2 xG. They amassed 15 shots, with just 6 on target. Portugal, given 1.1 xG, ended at 0.9.
Pre-match numbers below ↓↓↓
The popular take is Spain will dictate this high-stakes fixture. Yet the model notes Portugal's lower effective defensive suppression, suggesting a more open contest than anticipated. 1-1 is the top scoreline.
69
Argentina carried 2.6 pre-game xG. They unleashed 22 shots, 10 on target. Final xG: 2.1. That high volume cut xG by 0.5.
The numbers below ↓↓↓
Model baseline: Argentina 2.6 xG, Cape Verde Islands 0.4 xG. Cape Verde Islands' defensive suppression pulls the model's projection down. The top scoreline is 2-0.
75
Ecuador entered with 0.8 xG. They delivered 7 shots, 1 on target, and finished with 0.5 xG. That low output was final.
The numbers below ↓↓↓
Fans read this as a routine three points for Mexico against Ecuador. But the model leans on Mexico's attacking output, which tightens the projection. 0-0 is the top scoreline.
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