Barcelona (W) Profile: Stats & Performance

Overview of Barcelona Women’s Football Team

The Barcelona Women’s Football Team, based in Catalonia, Spain, competes in the Primera División Femenina. Known for their strategic gameplay and strong squad, they are managed by coach Jonatan Giráldez. Founded in 1988, the team has consistently been a dominant force in Spanish women’s football.

Team History and Achievements

Barcelona (w) boasts an impressive history with numerous titles to their name. They have won multiple La Liga titles and Copa de la Reina trophies. Notable seasons include their undefeated 2019-2020 campaign, where they secured both domestic league and cup victories.

Current Squad and Key Players

The current squad features standout players like Alexia Putellas, a versatile midfielder known for her playmaking abilities, and Caroline Graham Hansen, a dynamic winger. Other key players include Aitana Bonmatí and Mariona Caldentey, who contribute significantly to the team’s attacking prowess.

Team Playing Style and Tactics

Barcelona (w) typically employs a 4-3-3 formation, focusing on possession-based football. Their strategy emphasizes quick passing and movement to break down defenses. Strengths include tactical discipline and technical skill, while weaknesses may arise from occasional lapses in defensive organization.

Interesting Facts and Unique Traits

The team is affectionately known as “Las Blaugranas,” reflecting their iconic blue-and-gold colors. They have a passionate fanbase and rivalries with teams like Atlético Madrid Féminas. Traditions include pre-match rituals that unite fans and players alike.

Lists & Rankings of Players & Performance Metrics

Alexia Putellas: 🎰 Top assist provider
Caroline Graham Hansen: 💡 Leading goal scorer
Aitana Bonmatí: ✅ Key playmaker

Comparisons with Other Teams in the League

In comparison to other top teams like Atlético Madrid Féminas, Barcelona (w) often excels in midfield control and attacking transitions. Their ability to maintain possession sets them apart in the league.

Case Studies or Notable Matches

A breakthrough game was their 2019 Copa de la Reina final against Athletic Club, where they triumphed 4-0. This match highlighted their tactical superiority and depth of talent.

Tables Summarizing Team Stats & Recent Form

Statistic	Data
Total Wins (2023)	15/20 matches won
Average Goals per Match (2023)	3.1 goals per match
Last Five Matches Record (2023)	W-W-D-W-W

Tips & Recommendations for Betting Analysis

To analyze Barcelona (w) effectively for betting purposes:

Analyze head-to-head records against upcoming opponents.
Maintain awareness of player injuries or suspensions affecting team dynamics.
Closely monitor form trends over recent matches for insights into current performance levels.

Frequently Asked Questions (FAQ)

What are Barcelona (w)’s odds for winning La Liga this season?

The odds vary depending on bookmakers but generally reflect their strong position as title contenders due to consistent performances throughout the season.

Who should I bet on when backing Barcelona (w)?

Focusing on key players like Alexia Putellas or Caroline Graham Hansen can be beneficial due to their significant contributions to goals scored or assists provided during matches.

How does Barcelona (w)’s playing style affect betting strategies?

Their possession-based approach often leads to high-scoring games; hence bets on over/under goals might be advantageous if you consider this style advantageously positions them against weaker defenses.

“Barcelona’s women’s team exemplifies consistency at its best,” says renowned sports analyst Carlos Rodriguez.”

The Pros & Cons of Current Form or Performance

Prominent Strengths:

Possession dominance leading to scoring opportunities 🎰

Tactical flexibility allows adaptation against various opponents 💡

Potential Weaknesses:

__all__ = [“Bot”, “User”]
# InstaBot

[![PyPI](https://img.shields.io/pypi/v/instabot)](https://github.com/instagrambot/instabot)
[![PyPI – Python Version](https://img.shields.io/pypi/pyversions/instabot)](https://github.com/instagrambot/instabot)
[![GitHub Release Date](https://img.shields.io/github/release-date/instagrambot/instabot.svg)](https://github.com/instagrambot/instabot/releases)
[![Downloads](https://pepy.tech/badge/instabot)](https://pepy.tech/project/instabot)
[![PyPI – Downloads](https://img.shields.io/pypi/dm/instabot)](https://github.com/instagrambot/instabot)

Instagram bot written in Python.

## Installation

bash
pip install instabot

## Usage

### Basic usage

python
from instabot import Bot

bot = Bot()

# login with your instagram credentials
bot.login(username=”my_username”, password=”my_password”)

# upload photo with caption
bot.upload_photo(“path_to_my_image.jpg”, caption=”Hello world!”)

# logout from instagram account
bot.logout()

### Auto-like photos from specific users

python
from instabot import Bot

# create instance of bot class
bot = Bot()

# login with your instagram credentials
bot.login(username=”my_username”, password=”my_password”)

# specify list of users whom you want auto-like photos from.
# this list will be used later by `auto_like` method.
users_list = [“@first_user”, “@second_user”]

# start auto-like photos from specific users.
# `like_delay` specifies time between likes,
# `follow` parameter defines whether new followers should be followed back or not,
# `unfollow` parameter defines whether user should unfollow users after auto-like ends.
bot.auto_like(users_list=users_list,
like_delay=10,
follow=True,
unfollow=True)

### Auto-comment photos from specific users

python
from instabot import Bot

import random

def generate_comment():
“””Function which generates random comment”””

comments_list = [“Hello!”, “Nice!”, “Awesome!”]

return random.choice(comments_list)

# create instance of bot class
bot = Bot()

# login with your instagram credentials
bot.login(username=”my_username”, password=”my_password”)

# specify list of users whom you want auto-comment photos from.
users_list = [“@first_user”, “@second_user”]

comment_generator_function = generate_comment # function which generates random comment.

start_auto_comment(users_list=users_list,
comment_generator_function=comment_generator_function)

### Auto-follow/unfollow people

#### Follow people by tag:

python
from instabot import Bot

def generate_people_to_follow_by_tag(bot: Bot):

# get all media ids associated with tag “#tag”
media_ids_by_tag = bot.get_media_ids_by_tag(“#tag”)

# get usernames associated with media ids obtained above.
usernames_by_media_ids = bot.get_usernames_from_medias(media_ids_by_tag)

return usernames_by_media_ids

def main():

# create instance of bot class
bot = Bot()

# login with your instagram credentials
bot.login(username=”my_username”, password=”my_password”)

# generate people to follow by tag “#tag”
usernames_to_follow = generate_people_to_follow_by_tag(bot)

# start auto-following people generated above.
# `follow_delay` specifies time between follows,
# `unfollow_after_days` specifies number of days after which followed accounts will be unfollowed automatically.
bot.auto_follow(usernames_to_follow=usernames_to_follow,
follow_delay=10,
unfollow_after_days=7)

if __name__ == “__main__”:

main()

#### Follow people by location:

python
from instabot import Bot

def generate_people_to_follow_by_location(bot: Bot):

# get all media ids associated with location “London”
media_ids_by_location = bot.get_media_ids_by_location(“London”)

# get usernames associated with media ids obtained above.
usernames_by_media_ids = bot.get_usernames_from_medias(media_ids_by_location)

return usernames_by_media_ids

def main():

# create instance of bot class
bot = Bot()

# login with your instagram credentials
bot.login(username=”my_username”, password=”my_password”)

# generate people to follow by location “London”
usernames_to_follow = generate_people_to_follow_by_location(bot)

if __name__ == “__main__”:

main()

#### Unfollow non-followers:

python
from instabot import Bot

def main():

# create instance of bot class
bot = Bot()

# login with your instagram credentials
bot.login(username=”my_username”, password=”my_password”)

unfollow_nonfollowers(bot)

if __name__ == “__main__”:

main()

#### Unfollow everyone:

python
from instabot import Bot

def main():

# create instance of bot class
bot = Bot()

# login with your instagram credentials
bot.login(username=”my_username”, password=”my_password”)

unfollow_everyone(bot)

if __name__ == “__main__”:

main()

## License

MIT © [Yevheniy Koroliov](http://www.yevheniikoroliov.com/)
yevheniy-koroliov/instabot<|file_sep[
{
"name": "InstaBot",
"full_name": "instagrambot / instabot",
"description": "InstagramBot is an open-source InstagramBot written in Python.",
"language": {
"name": "Python",
"color": "#357a38"
},
"owner": {
"login": "instagrambot",
"id": 25121370,
"type": "Organization",
"url": "https://api.github.com/orgs/instagrambot",
"avatar_url": "https://avatars.githubusercontent.com/u/25121370?v=4"
},
"private": false,
"forks_count": 2185,
"watchers_count": 1821,
"_links": {
"self": {
"href": "https://api.github.com/repos/facebook/react"
},
"html": {
"href": null // URL for the repository on the website.
},
…
}
}
<|file_sep definitely not working anymore… but maybe it will help someone out there.

## Installation

bash
pip install [email protected]:skamensky/insta.py.git@master –upgrade –force-reinstall –no-cache-dir –no-deps –verbose

yevheniy-koroliov/instabot= 3.x installed on your machine before running above command.
**Note:** It is recommended that you use python virtual environment before installing InstaBot.

## Usage

In order to use InstaBot simply run:
* import instaboot

**Note:** Before using InstaBot you need Instagram account username/password.
**Note:** You can also provide proxy details while logging into Instagram account.
**Note:** If you don’t want any logs then just pass False value as third argument while creating object.

### Example: Login into Instagram account without any logs.

* bobjekt=InstaBoot(‘your_instagram_username’, ‘your_instagram_pass’, False)
* bobjekt.Login()

Now that we have logged into our Instagram account let us see some functions available inside InstaBoot class.

### Example: Get followers count.

* bobjekt.GetFollowersCount()

### Example: Get following count.

* bobjekt.GetFollowingCount()

### Example: Get posts count.

* bobjekt.GetPostsCount()

### Example: Get bio information.

* bobjekt.GetBioInfo()

### Example: Get total likes count on profile picture.

* bobjekt.GetTotalLikesOnProfilePic()

### Example: Get total comments count on profile picture.

* bobjekt.GetTotalCommentsOnProfilePic()

### Example: Get total likes count on last post.

* bobjekt.GetTotalLikesOnLastPost()

### Example: Get total comments count on last post.

* bobjekt.GetTotalCommentsOnLastPost()

#### Note that all above examples gives output directly so if you want then you can print it yourself too.

## Available Functions inside InstaBoot Class :

**Login Functionality :**

1. **Login():**
* Logs into given Instagram Account using username/password provided while creating object.
* **Input Arguments : None
**
* **Output Arguments : None
**

**Get Followers Count Functionality :**

1. **GetFollowersCount():**
* Gets followers count.
* **Input Arguments : None
**
* **Output Arguments : Followers Count
**

**Get Following Count Functionality :**

1. **GetFollowingCount():**
* Gets following count.
* **Input Arguments : None
**
* **Output Arguments : Following Count
**

**Get Posts Count Functionality :**

1. **GetPostsCount():**
* Gets posts count.
* **Input Arguments : None
**
* **Output Arguments : Posts Count
**

**Get Bio Information Functionality :**

1. **GetBioInfo():**
* Gets bio information such as Bio Title/Bio Description etc..etc..
* **Input Arguments : None
**
* **Output Arguments : Bio Information Dictionary containing Bio Title/Bio Description etc..etc..
**

**Get Total Likes On Profile Picture Functionality :**

1. **GetTotalLikesOnProfilePic():**
* Gets total likes count present on profile picture.
* **Input Arguments : None
**
* **Output Arguments : Total Likes Count Present On Profile Picture
**

**Get Total Comments On Profile Picture Functionality :**

1. **GetTotalCommentsOnProfilePic():**
* Gets total comments present under profile picture.
* **Input Arguments : None
**
* **Output Arguments : Total Comments Present Under Profile Picture Dictionary containing Commenter Name And Comment Text etc..etc..
**

**Get Total Likes On Last Post Functionality :**

1. **GetTotalLikesOnLastPost():**
* Gets total likes present under last post.
* **Input Arguments : None
**
* **Output Arguments :
– Total Likes Present Under Last Post Dictionary containing Liked User Name And Liked User ID etc..etc..
– List Of All Media IDs Present In Last Post Dictionary containing Media ID etc..etc..
**

**Get Total Comments On Last Post Functionality :

1. ***Under Development***

***

##### Author :

***Tikhit Akhaan***

***Email Id :- [email protected]***

***Linkedin :- https://www.linkedin.com/in/tikhitakhaan/***
yevheniy-koroliov/instabot<|file_sep[{"pid":"P0","url":"http://www.blogger.com/ru/weblogPermalink/?blogID=-2074990160928282325&postID=-7220403987259521616","title":"Как создать бота для инстаграмма на питоне? u2014 Александр Штейнберг","content":"nnКак создать бота для инстаграмма на питоне?nnАлександр ШтейнбергnnВ этой статье я расскажу как можно написать бота для инстаграмма на питоне.nnДля начала нужно установить несколько модулей:nnsudo pip install requests beautifulsoup4 selenium urllib pillow lxmlnnrequests — это модуль для работы с HTTP запросами.nbeautifulsoup — это модуль для парсинга HTML страниц.nselenium — это модуль для автоматизации веб браузера.nurllib — это стандартный модуль для работы с URL адресами.npillow — это модуль для работы с изображениями.nlxml — это модуль для работы с XML и HTML документами.nnПосле установки нужно зайти в папку где лежит скрипт и запустить его:npython ig-bot.py [username] [password]nusername и password нужно заменить на свои данные.nЕсли хотите использовать прокси то можете добавить параметр:n–proxy=[ip]:[port]nПример:n–proxy=127.0.0.1:8080nСкрипт выполняет следующие функции:nЛогинится в аккаунт через selenium и получает токен,nЗатем делает запросы через requests к API инстаграмма,nПолучает список всех постов сделанных за последний час,nИщет все посты которые содержат заданную хеш тег,nУдаляет все свои посты если они есть,nИ загружает все найденные посты на свой аккаунт,nP.S.: Если вы используете фиктивный аккаунт то скрипт будет работать только в том случае если вы используете Google Chrome или Mozilla Firefox в качестве браузера.nP.S.: Возможно что скрипт не будет работать после обновления версии инстаграмма или если ваш аккаунт был заблокирован из за подозрения в использовании автоматических скриптов или других подозрительных действий.nP.S.: Если вы используете фиктивный аккаунт то скрипт будет работать только в том случае если вы используете Google Chrome или Mozilla Firefox в качестве браузера.","datePublished":"2016-03-05T09:24:00Z"},{"pid":"P1","url":"http://www.blogger.com/ru/weblogPermalink/?blogID=-2074990160928282325&postID=-5455721714452982628","title":"Боты для Инстаграмма на питоне u2014 Александр Штейнберг","content":"nnБоты для Инстаграмма на питонеnАлександр ШтейнбергnВ этой статье я расскажу как можно написать ботов для инстаграмма на питоне.nP.S.: Если вы используете фиктивный аккаунт то скрипты будут работать только в том случае если вы используете Google Chrome или Mozilla Firefox в качестве браузера.nP.S.: Возможно что скрипты не будут работать после обновления версии инстаграмма или если ваш аккаунт был заблокирован из за подозрения в использовании автоматических скриптов или других подозрительных действий.nP.S.: Если вы используетe фиктивный аккаунт то скрипты будут работать только в том случае если вы используетe Google Chrome или Mozilla Firefox в качествe браузера.nP.S.: Возможно что скрипты не будут работать послe обновления версии инстагramma или если ваш аккаунt был заблоkирован из за подoзрения в использовании автоматических skriptov или других подoзрительных действий.","datePublished":"2016-02-26T17:51:00Z"},{"pid":"P10","url":"http://www.blogger.com/ru/weblogPermalink/?blogID=-2074990160928282325&postID=-3057951926781185308","title":"Моделирование цены BTCUSD с помощью ARIMA и LSTM u2014 Александр Штейнберг","content":"nМоделирование цены BTCUSD с помощью ARIMA и LSTM Александр Штеинберг В этой статьe я расскажy как можно использовyть ARIMA и LSTM модели yдля предсказания цены BTCUSD на следующий день.P.S.: Для этого анализа были использованы данные о ценах BTCUSD c сайта cryptocompare.ru.P.S.: Модель ARIMA требует нормального распределения данных.P.S.: Для предсказания следующего значения временного ряда мы можем использоваться предсказание предшествующего значения временного ряда.P.S.: Средняя абсолютная ошибка предсказания ARIMA составляет около $130.P.S.: Средняя абсолютная ошибка предсказания LSTM составляет около $100.P.S.: Модель LSTM требует больше данных чтобы обучаться чем ARIMA.P.S.: Поэtому при маленьком набор данных лучше использовять ARIMA чем LSTM.","datePublished":"2017-08-14T06:30:00Z"},{"pid":"P11","url":"http://www.blogger.com/ru/weblogPermalink/?blogID=-2074990160928282325&postID=-8659905143376615506","title":"Тестирование гипотез о равенствe двум выборкам u2014 Александр Штеинберг","content":"rnrnТестирование гипотез о равенствe двум выборкамrnАлександр ШтеинбергrnrnВ этой статьe я расскажy как можно провести тестирование гипотез о равенствe двум выборкам P-value методом Колмогорова-Смирнова ПС: Данный метод требуюy непараметрических данных ПС: Нужно проверить гипотезу H_0 u003d u003d H_1 ПС: Параметры pvalue_ks_test даюy информацию о значимости различия между двумя выборками P-value менее чем равным альфа значению указывает на отвержение нулевой гипотезы ПС: Пример кода приведён ниже Результат выполнения кодапоказывает что pvalue менее чем равным альфа значению указывает на отвержение нулевой гипотезы ПС: Значение pvalue составляет примерно 0.00000000000000000783297 которое меньше альфа значению который равен 0.05 ПС: Это значит что мы можем отвергнуть нулевую гипотезу и заключить что различия между двумя выборками имело место быть ","datePublished":"2017-08-12T11:18:00Z"},{"pid":"P12","url":"http://www.blogger.com/ru/weblogPermalink/?blogID=-2074990160928282325&postID=-8831348339095437279","title":"Работа с API Тинькофф БРОKER u2014 Александр Штеинберг","content":"","datePublished":""},{"pid":"P13","url":"http://www.blogger.com/ru/weblogPermalink/?blogID=-2074990160928282325&postID=-3608001315201656227","title":"","content":"","datePublished":""},{"pid":"P14","url":"","title":"","content":"","datePublished":""},{"pid":"P15","url":"","title":"","content":"","datePublished":""},{"pid":"P16","url":"","title":"","content":"","datePublished":""},{"pid":"P17","url":"","title":"","content":"","datePublished":""},{"pid":"P18","url":"","title":"","content":"","datePublished":""}],"counters":{"total_posts_count":-9223372036854775808,"posts_per_page":-9223372036854775808,"total_pages":-9223372036854775808}}yevheniy-koroliov/instabot<|file_sep#!/usr/bin/env python
"""
A simple script for downloading images via Selenium.
"""

import os
import sys
import re
import argparse

try:
import selenium.webdriver as webdriver
except ImportError:
print("33[31mPlease make sure that Selenium is installed!33[m")
sys.exit()

parser = argparse.ArgumentParser(description='Download images via Selenium')

parser.add_argument('–output', '-o', dest='output',
default='images',
help='output directory')

parser.add_argument('–driver-path', '-d', dest='driver_path',
default=None,
help='path to webdriver executable')

parser.add_argument('–driver-name', '-dn', dest='driver_name',
default=None,
help='webdriver name')

parser.add_argument('urls', nargs='+', metavar='’, type=str,
help=’list of urls’)

args = parser.parse_args()

if args.driver_path is not None:
exec(‘driver_path=%r’ % args.driver_path)
else:
if args.driver_name is not None:

else:
driver_path=os.path.join(os.getcwd(), ‘chromedriver’)

try:
exec(‘driver_class=%r’ % args.driver_name)
except NameError:
driver_class=None

class DownloadImage(object):

def __init__(self):

pass

def download_images(self):

pass

if __name__==’__main__’:
download_image_object=DownloadImage()
download_image_object.download_images()<|file_sepcmath module provides access to mathematical functions for complex numbers.

cmath.isclose(a,b[,rel_tol[,abs_tol]]) → bool¶ New in version 3.5.Returns True if a is close in value to b.

If rel_tol is greater than zero:

abs(a-b) <= max(rel_tol × max(abs(a), abs(b)), abs_tol)

Otherwise:

abs(a-b) >> cmath.isclose(10000000000.,10000000001.)
True

cmath.phase(z[, deg])¶New since version 3.6.Returns phase angle θ (also known as argument) of z , as a float measured in radians unless deg is true , when it is returned in degrees.

The phase angle θ satisfies:

z=x+yj==rcisθ==rcosθ+jsinθ

where r==cmath.polar(z)[0]. For real-valued x,y , θ lies within [-π,+π] . For complex z , θ lies within (-∞,+∞).

Example:

>>> cmath.phase(complex(-1,-1))
-3*pi / 4

cmath.polar(z)¶Returns a pair representing the polar coordinate representation “(r，theta)“of z .

The magnitude r equals:

r==abs(z)

and theta equals:

theta==cmath.phase(z)

Example:

>>> cmath.polar(complex(-1,-1))
(1.4142135623730951， -3*pi / 4)

cmath.rect(r，theta[, deg])¶New since version 3.6.Returns rectangular coordinate representation x+yjof polar coordinates “(r，theta)“, where r>=0and thetais measured in radians unless degis true , when thetais interpreted as degrees.

Example:

>>> cmath.rect(absolute_value，phase)==complex(real_part，imaginary_part)

cmath.exp(z)¶Returns e^zwhere e is Euler’s number.

Example:

>>> cmath.exp(complex(-math.pi / 4))
(0.7071067811865476+0.j)

cmath.log(z[, base])¶Returns the natural logarithm(log_e z )of z when base isn’t specified.

If base isn’t specified:

return log_e z == log(z)/log(e)

If base is specified:

return log_z(base)==log(z)/log(base)

Example:

>>> cmath.log(math.e)
(1+0j)

>>> math.e==cmath.exp(cmath.log(math.e))

cmath.log10(z)¶Returns logarithm base ten(log_10 z )of z .

Example:

>>> cmath.log10(100)
(2+0j)

cmath.sqrt(z)¶Returns square root(square root z )of z .

Example:

>>> cmath.sqrt(-16)
4j

cmath.acos(x)¶Returns arc cosine(arc cosine x )of x .

Example:

>>> math.pi==cmath.acos(-math.sqrt(.5))+cmath.acos(math.sqrt(.5))

cmath.asin(x)¶Returns arc sine(arc sine x )of x .

Example:

>>> math.pi==cmath.asin(math.sqrt(.5))-cmath.asin(-math.sqrt(.5))

cmath.atan(x)¶Returns arc tangent(arc tangent x )of x .

Example:

>>> math.pi==4*(cmath.atan(math.sqrt(.5)))

To calculate atan(y/x), use atan(y/x). See section Complex Argument Functions below.

cmath.atan(y,x)=atan(y/x)+k*pi

for k!=int((x.real*x.imag-y.real*y.imag)<0).

where atan(y/x)=arctan(y/x).

To calculate arctan(y/x), use atan(y/x). See section Complex Argument Functions below.

arctan(y/x)=atan(y/x)

for y!=x!=int((x.real*x.imag-y.real*y.imag)<0).

To calculate arccos(x), use acos(x). See section Complex Argument Functions below.

arccos(x)=acos(x)

for y=x!=int((x.real*x.imag-x.real*x.real-x.imag*x.imag)<0).

To calculate arcsin(x), use acos(sqrt((i-x)*(i+x))). See section Complex Argument Functions below.

arcsin(x)=acos(sqrt(i-x)*sqrt(i+x))

for y=x!=int((x.real*x.imag-x.real*x.real-x.imag*x.imag)<0).

Where i=sqrt(-1).

example:

arcsin(+-sqrt(.5))==pi/(four)-acsc(sqrt(.5))

Where acsc=sqrt(i-z)*sqrt(i+z).

example:

acsc(+/-sqrt(.50))==pi/(four)-asin(sqrt(.50))

For more information about complex argument functions see http://en.wikipedia.org/wiki/Circular_function .

The following functions are available only when cMath module imported instead NumPy module.

See Also

NumPy module provides similar functionality.

Notes

All arguments are assumed complex unless otherwise stated.

Examples