Expert Analysis: Barcelona vs Osasuna
Barcelona’s match against Osasuna presents intriguing betting opportunities, with several key predictions suggesting a dynamic game. The likelihood of Barcelona scoring in both halves is notably high, at 98.40% for the first half and 98.70% for the second half, indicating a strong offensive performance expected from the home team. Additionally, there’s a significant probability (91.10%) that Osasuna will not score in the second half, suggesting potential defensive challenges for them as the match progresses.
Barcelona
Osasuna
(FT)
Predictions:
| Market | Prediction | Odd | Result |
|---|---|---|---|
| Home Team To Score In 1st Half | 98.40% | (2-0) | |
| Home Team To Score In 2nd Half | 98.70% | (2-0) | |
| Both Teams Not To Score In 2nd Half | 91.10% | (2-0) 2-0 2H 1.40 | |
| Home Team To Win | 86.60% | (2-0) 1.20 | |
| Away Team Not To Score In 2nd Half | 88.70% | (2-0) | |
| Away Team Not To Score In 1st Half | 89.00% | (2-0) | |
| Under 5.5 Cards | 82.20% | (2-0) 3 cards 1.17 | |
| Over 1.5 Goals | 71.60% | (2-0) 1.09 | |
| Both Teams Not To Score In 1st Half | 71.10% | (2-0) 0-0 1H 1.25 | |
| Over 0.5 Goals HT | 61.60% | (2-0) 0-0 1H 1.18 | |
| Over 2.5 Goals | 62.90% | (2-0) 1.30 | |
| Under 4.5 Cards | 60.00% | (2-0) 3 cards 1.38 | |
| Both Teams Not to Score | 57.20% | (2-0) 2.37 | |
| Draw In First Half | 54.70% | (2-0) 0-0 1H 3.10 | |
| Avg. Total Goals | 4.25% | (2-0) | |
| Avg. Goals Scored | 2.41% | (2-0) | |
| Yellow Cards | 1.56% | (2-0) | |
| Avg. Conceded Goals | 1.74% | (2-0) | |
| Red Cards | 1.47% | (2-0) |
Betting Predictions
- Home Team To Score In 1st Half: 98.40%
- Home Team To Score In 2nd Half: 98.70%
- Both Teams Not To Score In 2nd Half: 91.10%
Match Outcome Predictions
- Home Team To Win: 86.60%
- Away Team Not To Score In 2nd Half: 88.70%
Betting on Goals and Cards
- Away Team Not To Score In 1st Half: 89.00%
- Under 5.5 Cards: 82.20%
Predictions on Total Goals and Cards
- Over 1.5 Goals: 71.60%
- Both Teams Not To Score In First Half: 71.10%
- Over 0.5 Goals HT:61.60%
- Over 2.5 Goals:62.90%
- Avg Total Goals: The average total goals predicted is quite high at 4.25, reflecting an expectation of an exciting match.
- Avg Goals Scored: 2.41
- Yellow Cards: 1.56
- Avg Conceded Goals: 1.74
- Red Cards: 1.47 .
Prediction on Card Totals
- <stronDrewNolan/DeepLearning/SemiSupervisedLearning/SemiSupervisedLearning.py
import numpy as npclass SemiSupervisedLearning:
def __init__(self):
passdef semi_supervised_learning(self, x_train_unlabeled, y_train_labeled, x_test_labeled, y_test_labeled):
# Initialize variables.
num_iterations = len(x_train_unlabeled)
accuracy = np.zeros(num_iterations)
loss = np.zeros(num_iterations)# Train model.
for i in range(num_iterations):
self.train_iteration(x_train_unlabeled[i], y_train_labeled[i], x_test_labeled[i], y_test_labeled[i])# Calculate loss and accuracy.
loss[i] = self.calculate_loss()
accuracy[i] = self.calculate_accuracy()print(“Iteration:”, i)
print(“Loss:”, loss[i])
print(“Accuracy:”, accuracy[i])def train_iteration(self):
passdef calculate_loss(self):
passdef calculate_accuracy(self):
pass<|file_sep#!/usr/bin/env python3
# -*- coding:utf-8 -*-
"""
@Author : Drew Nolan
@Date : Jan/31/2020
@File : main.py
"""from DeepLearning import NeuralNetworks
from DeepLearning import ConvolutionalNeuralNetworks
from DeepLearning import RecurrentNeuralNetworks
from DeepLearning import GenerativeAdversarialNetworksif __name__ == "__main__":
print("Hello World!")
DrewNolan/DeepLearning{raggedright}m{dimexpr0pt+3cm}}
%Year & Top-5 Accuracy \
%(2017) & (95.84)\
%end{xltabular}
%end{savenotes}
%end{table}%TODO add table here
%begin{savenotes}
%begin{xltabular}{>{raggedright}m{dimexpr0pt+3cm}}
%Model & Top-5 Accuracy \
%ResNet(50) & (94.15)\
%VGG(19) & (93.66)\
%MNASNet(0.75) & (92.54)\
%Inception-v4 & (92.46)\
%SENet(154) & (92.18)\
%DenseNet(161) & (91.78)\
%NASNet-A-Large* & (91.29)\
%Mnasnet-(0.75*)& (91.23)\
%Alexnet* & (83.16)\
%end{xltabular}
%%TODO remove footnote here when done editing table above
%%see http://latexstudio.org/xltabular.php?doc=tableexample.html&lang=en&edit=edit&pdf=pdf&html=html&tex=tex©=
%%for formatting tips
%%http://www.tablesgenerator.com/
%%https://github.com/josephwright/xltabular/wiki/Sample-table-for-xltabular-package-in-LaTeX#example-with-some-data-from-wikipedia
%%https://www.overleaf.com/learn/latex/Table_gallery
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%
%end{savenotes}%%% Local Variables:
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%%% End:DrewNolan/DeepLearning<|file_sep