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- Mar 13, 2016
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- Liverpool
Statistical models can be very useful, but you can't put your ENTIRE faith in them.
Separate sport, but a good example is the recent India v New Zealand T20 series down in New Zealand.
After the 12th over in the final T20, New Zealand were in a comfortable chasing position (having choked two big chases in the last two games, following on from their massive cock-up vs England in a similar manner in the World Cup Final). The statistical model had them at a 95%+ probability to win that final game at that point, which anyone watching the game would have told you is a load of bollocks. Sure, they were in 'control', but that didn't mean they were going to ease home. It took just one wicket to precipiate a complete collapse.
See also, Liverpool vs Barcelona last season. Prior to the second leg, no Firmino, Salah etc sure, Barca were in a great position and no one EXPECTED Liverpool to go through - simply just fight for it.
But at 1-0 down in the second half, Barcelona were still HUGE favourites to go through. That Barcelona/Rakuten-sponsored documentary they produced later with the behind the scenes in the changing room shows Barcelona absolutely shattered and rattled (Alba was basically in tears at half time...being 3-1 up on aggregate). Barca didn't have the cojones that night and that was obvious from kick off - a mixture of the Roma result, insipid leadership (Messi really isn't the greatest for this), the Anfield factor, a 1-0 lead with 45 minutes to go playing against the Kop, and Liverpool essentially riding that momentum.
Barca were actually shattered after that first leg despite winning 3-0 because they were struggling to sometimes live with the intensity of the team - but taking that lead in, and with no Firmino/Salah, they certainly were in control of the game. That should have changed BIG time once Origi scored, and Liverpool were to attack the Kop. But it didn't in the model.
I'm not sure how statistical models account for these factors, or if they do at all - but based on how certain teams like Man City are consistently rated in Europe, they clearly don't.
On another point, domestic cup games are VERY different to European Cup knockouts (for starters, two legged ties home and away).
Separate sport, but a good example is the recent India v New Zealand T20 series down in New Zealand.
After the 12th over in the final T20, New Zealand were in a comfortable chasing position (having choked two big chases in the last two games, following on from their massive cock-up vs England in a similar manner in the World Cup Final). The statistical model had them at a 95%+ probability to win that final game at that point, which anyone watching the game would have told you is a load of bollocks. Sure, they were in 'control', but that didn't mean they were going to ease home. It took just one wicket to precipiate a complete collapse.
See also, Liverpool vs Barcelona last season. Prior to the second leg, no Firmino, Salah etc sure, Barca were in a great position and no one EXPECTED Liverpool to go through - simply just fight for it.
But at 1-0 down in the second half, Barcelona were still HUGE favourites to go through. That Barcelona/Rakuten-sponsored documentary they produced later with the behind the scenes in the changing room shows Barcelona absolutely shattered and rattled (Alba was basically in tears at half time...being 3-1 up on aggregate). Barca didn't have the cojones that night and that was obvious from kick off - a mixture of the Roma result, insipid leadership (Messi really isn't the greatest for this), the Anfield factor, a 1-0 lead with 45 minutes to go playing against the Kop, and Liverpool essentially riding that momentum.
Barca were actually shattered after that first leg despite winning 3-0 because they were struggling to sometimes live with the intensity of the team - but taking that lead in, and with no Firmino/Salah, they certainly were in control of the game. That should have changed BIG time once Origi scored, and Liverpool were to attack the Kop. But it didn't in the model.
I'm not sure how statistical models account for these factors, or if they do at all - but based on how certain teams like Man City are consistently rated in Europe, they clearly don't.
On another point, domestic cup games are VERY different to European Cup knockouts (for starters, two legged ties home and away).