Home » Football » SG City Nova (Italy)

SG City Nova: Premier League Champions Squad & Stats

Overview of SG City Nova

SG City Nova is a prominent football team based in Singapore, competing in the top tier of the local league. Founded in 2005, the club has been under the leadership of coach Alex Tan since 2018. Known for its dynamic playing style and strong youth development program, SG City Nova has become a key contender in Singapore’s football scene.

Team History and Achievements

Since its inception, SG City Nova has made significant strides in Singaporean football. The team clinched its first league title in 2010 and has consistently been a top-four finisher ever since. Notable achievements include winning the Singapore Cup three times and reaching the semi-finals of the AFC Cup twice.

Current Squad and Key Players

The current squad boasts several standout players. Midfielder James Lim is known for his vision and passing accuracy, while striker Lee Wei has been a prolific goal scorer this season. Defender Marcus Tan provides stability at the back with his excellent tackling skills.

Key Players

  • James Lim (Midfielder): Renowned for his playmaking abilities.
  • Lee Wei (Striker): Leading goal scorer this season.
  • Marcus Tan (Defender): Key to the team’s defensive strength.

Team Playing Style and Tactics

SG City Nova employs a 4-3-3 formation, focusing on possession-based football with quick transitions from defense to attack. Their strategy emphasizes high pressing and exploiting wide areas to stretch opposition defenses. However, they can be vulnerable to counterattacks due to their high defensive line.

Interesting Facts and Unique Traits

The team is affectionately known as “The Gladiators” by their fans, who are known for their passionate support. SG City Nova has a fierce rivalry with another local club, which often draws large crowds to matches between them. A unique tradition is their pre-match fan chant that energizes both players and supporters alike.

Lists & Rankings of Players, Stats, or Performance Metrics

  • Top Performers:
    • Jamie Lim: Assists Leader ✅
    • Lee Wei: Top Goalscorer 🎰
    • Marcus Tan: Best Defender 💡

Comparisons with Other Teams in the League or Division

In comparison to other teams in the league, SG City Nova stands out for its balanced squad and tactical flexibility. While some rivals focus on physicality, SG City Nova prioritizes technical skill and strategic playmaking.

Case Studies or Notable Matches

A memorable match was their victory against Tampines Rovers last season where they overturned a one-goal deficit to win 3-1 in extra time. This match showcased their resilience and ability to perform under pressure.

Tables Summarizing Team Stats, Recent Form, Head-to-Head Records, or Odds

*Indicates recent performance metrics

Tips & Recommendations for Analyzing the Team or Betting Insights 💡 Advice Blocks

  • Analyze opponent weaknesses that match SG City Nova’s strengths—especially their wingers’ pace against slower defenders.
  • Bet on over/under goals when facing teams with weaker defenses as SG City Nova averages more than two goals per game against such opponents.
  • Closely monitor player fitness reports; injuries to key players like Lee Wei can significantly impact performance outcomes.

Frequently Asked Questions about Betting on SG City Nova 🏆 FAQ Block

What are some key factors affecting SG City Nova’s performance?

Their performance is heavily influenced by key players like Lee Wei and James Lim; injuries or suspensions can alter game outcomes significantly.

How does SG City Nova compare statistically to other teams?

Their possession stats are among the highest in the league at around 60%, indicating strong ball control compared to many rivals who average around 50% possession.

Suggest betting strategies for upcoming matches?

Focusing on betting markets such as ‘First Goal Scorer’ involving Lee Wei could be lucrative given his scoring record this season. Additionally, considering ‘Over/Under’ markets when facing defensively weak teams might yield positive results due to their attacking prowess.

Quotes or Expert Opinions about the Team (Quote Block)

“SG City Nova exemplifies tactical intelligence combined with raw talent—a formidable combination that keeps them competitive.” – Alex Tan, Head Coach of SG City Nova.

Pros & Cons of the Team’s Current Form or Performance ✅❌ Lists

  • ✅ High-scoring potential due to offensive talents like Lee Wei.
  • ❌ Vulnerability during counterattacks because of aggressive pressing tactics.
  • ✅ Strong midfield control thanks to players like James Lim.
  • ❌ Inconsistent defensive performances when facing top-tier strikers.
  • ✅ Capable of adapting tactics mid-game under coach Alex Tan’s guidance.
  • ❌ Occasional lapses in concentration lead to costly errors.
  • ✅ Robust youth system ensuring future talent pipeline.
  • ❌ Dependence on few star players can be risky if they are unavailable.
    </jimmywong1994/EasyZombie/EasyZombie/Assets/Scripts/Managers/GameManager.cs
    using System.Collections;
    using System.Collections.Generic;
    using UnityEngine;
    using UnityEngine.SceneManagement;

    public enum GameState
    {
    Menu,
    Playing,
    GameOver
    }

    public static class GameManager
    {
    public static GameState gameState = GameState.Menu;
    public static bool paused = false;

    public static void StartGame()
    {
    gameState = GameState.Playing;
    paused = false;
    Time.timeScale = 1f;
    PlayerMovement.isDead = false;
    SceneManager.LoadScene(SceneManager.GetActiveScene().buildIndex);
    }

    public static void EndGame()
    {
    gameState = GameState.GameOver;
    paused = true;
    Time.timeScale = .25f;
    AudioListener.volume = .25f;

    if(PlayerMovement.score > PlayerPrefs.GetInt(“HighScore”))
    PlayerPrefs.SetInt(“HighScore”, PlayerMovement.score);

    if(PlayerPrefs.GetInt(“BestTime”) == -1 || PlayerMovement.time > PlayerPrefs.GetInt(“BestTime”))
    PlayerPrefs.SetInt(“BestTime”, PlayerMovement.time);

    Debug.Log($”New High Score: {PlayerMovement.score}”);

    }
    # EasyZombie
    A simple zombie shooter game made using Unity.

    ## Instructions
    Download [Unity](https://unity.com/) version **2020**.
    Open `EasyZombie` folder.
    Click `Play` button.

    ## Controls
    * WASD / Arrow Keys – Movement
    * Spacebar – Jump
    * Left Mouse Button – Shoot

    ## Objective
    Shoot zombies before they kill you.
    Collect money from zombies you kill.
    Buy upgrades between waves.

    ## Upgrades
    * Weapon Upgrade – Shoot faster / Bullet damage increase / Bullet speed increase.
    * Health Upgrade – Health increase / Regeneration rate increase.
    * Armor Upgrade – Damage reduction.

    ## Levels / Waves
    Every wave increases difficulty.
    After each wave you will have an opportunity to buy upgrades using your money.

    ## Scoreboard / Leaderboard
    At end of each level you will be presented with your score.
    Your score will be saved into local storage so you can check how well you did later.

    ## Credits / Acknowledgements
    Music used:
    [YouTube Audio Library](https://www.youtube.com/audiolibrary/music)

    Models used:
    [Zombocalypse Pack](https://assetstore.unity.com/packages/vehicles/mechanical/zombocalypse-pack-203684)
    [Zombie Hunter Pack](https://assetstore.unity.com/packages/3d/environments/zombie-hunter-pack-198163)
    jimmywong1994/EasyZombie<|file_sep OrderedDict([('player', {'id': 'player', 'position': [-5., -0., -10.]})]), OrderedDict([('zombies', {'id': 'zombies', 'position': [[[-6., -0., -9], [-7., -0., -9], [-6., -0., -11], [-7., -0., -11]]]})])]
    ['[INFO] Initializing new level.', '[INFO] Level initialized successfully!']
    {'id': 'player', 'position': [-5., -0., -10.]}

    —————————————————————————
    AssertionError Traceback (most recent call last)
    in ()
    —–> 1 assert test_level_init(levels) == True

    AssertionError:
    [‘[INFO] Initializing new level.’, ‘[INFO] Level initialized successfully!’]
    {‘id’: ‘player’, ‘position’: [-5., -0., -10.]}

    —————————————————————————
    AssertionError Traceback (most recent call last)
    in ()
    —–> 1 assert test_level_init(levels) == True

    AssertionError:
    [‘[INFO] Initializing new level.’, ‘[INFO] Level initialized successfully!’]
    {‘id’: ‘player’, ‘position’: [-5., -0., -10.]}

    —————————————————————————
    AssertionError Traceback (most recent call last)
    in ()
    —–> 1 assert test_level_init(levels) == True

    AssertionError:
    [‘[INFO] Initializing new level.’, ‘[INFO] Level initialized successfully!’]
    {‘id’: ‘player’, ‘position’: [-5., -0., -10.]}

    —————————————————————————
    AssertionError Traceback (most recent call last)
    in ()
    —–> 1 assert test_level_init(levels) == True

    AssertionError:
    [‘[INFO] Initializing new level.’, ‘[INFO] Level initialized successfully!’]
    {‘id’: ‘player’, ‘position’: [-5., -0., -10.]}

    —————————————————————————
    AssertionError Traceback (most recent call last)
    in ()
    —–> 1 assert test_level_init(levels) == True

    AssertionError:
    [‘[INFO] Initializing new level.’, ‘[INFO] Level initialized successfully!’]
    {‘id’: ‘player’, ‘position’: [-5., -0., -10.]}

    —————————————————————————
    TypeError Traceback (most recent call last)
    in _level_spawn(level_data)
    21 print(f'[DEBUG][LevelSpawn]: Entity ID “{entity_id}” spawned.’)
    22 print(f'[DEBUG][LevelSpawn]: Entity ID “{entity_id}” position set.’)
    —> 23 return entity_id # Return entity ID upon successful spawn.
    24
    25

    TypeError: cannot unpack non-iterable str object

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last):
    Cell In[11], line ??
    —->> __cell_line__
    f'{level_data[“entities”][i][“type”]}_spawn({level_data[“entities”][i][“data”][“position”]})’
    )
    File “”, line ?, cell line ?
    f'{level_data[“entities”][i][“type”]}_spawn({level_data[“entities”][i][“data”][“position”]})’
    )
    File “”, line ?, cell line ?
    f'{level_data[“entities”][i][“type”]}_spawn({level_data[“entities”][i][“data”][“position”]})’
    )
    File “”, line ?, cell line ?
    f'{level_data[“entities”][i][“type”]}_spawn({level_data[“entities”][i][“data”][“position”]})’
    )
    File “/Users/jimmywong/Documents/GitHub/EasyZombie/EasyZombie/lib/python_files/game.py”, line ?, cell line ?
    def _level_spawn(level_data):
    –> return _entity_spawn(level_data[“type”], level_data[“data”][“position”])
    return _entity_spawn(level_data[“type”], level_data[“data”][“position”])

    File “/Users/jimmywong/Documents/GitHub/EasyZombie/EasyZombie/lib/python_files/game.py”, line ?, cell line ?
    def _entity_spawn(entity_type=None , position=None):
    –> entity_id , entity_position = globals()[f”{entity_type}_spawn”](position)
    entity_id , entity_position = globals()[f”{entity_type}_player”](position)

    NameError: name ‘_entity_spawn_player’ is not defined

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last):
    Cell In[12], line ??
    —->> __cell_line__
    print(test_level_init(levels))

    File “”, line ?, cell line ?
    print(test_level_init(levels))

    File “/Users/jimmywong/Documents/GitHub/EasyZombie/EasyZombie/lib/python_files/test_game.py”, line ?, cell line ?
    def test_level_init(level_list):
    –> result_list , result_dict = _test_level_init(level_list)

    File “/Users/jimmywong/Documents/GitHub/EasyZombie/EasyZombie/lib/python_files/test_game.py”, line ?, cell line ?
    def _test_level_init(level_list):
    –> return [_test_entity_spawn(entity) for entity in level_list]

    File “/Users/jimmywong/Documents/GitHub/EasyZombie/EasyZombie/lib/python_files/test_game.py”, line ?, cell line ?
    def _test_entity_spawn(entity):
    –> return _test_entity_spawn(entity)

    File “/Users/jimmywong/Documents/GitHub/EasyZombie/EasyZombie/lib/python_files/test_game.py”, line ?, cell line ?
    def _test_entity_spawn(entity):
    –> return (_entity_spawn(entity[“type”], entity[“data”][“position”]), entity)

    File “/Users/jimmywong/Documents/GitHub/EasyZombie/EasyZombie/lib/python_files/game.py”, line ?, cell_line ???
    return (_entity_spawn(level_data[“type”], level_data[“data”][“position”]), level_data)

    NameError: name ‘_entity_spawn’ is not defined

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last):
    Cell In[12], line ??
    —->> __cell_line__
    print(test_level_init(levels))

    File “”, line ?, cell_line ???
    print(test_level_init(levels))

    File “/Users/jimmywong/Documents/GitHub/EasyZombie/EasyZombie/lib/python_files/test_game.py”,line?,cell_line ???
    def test_level_init(level_list):

    TypeError: cannot unpack non-iterable NoneType object

    ***** Tag Data *****
    ID: 4
    description: Test function that initializes levels by spawning entities dynamically,
    start line: 17
    end line: 34
    dependencies:
    – type: Function
    name: _test_entity_spawn()
    start line: 29
    end line: 31
    context description: This snippet tests initialization by dynamically spawning entities,
    algorithmic depth external dependencies included here show advanced use cases such
    as dynamic function calls based on string names using globals().
    algorithmic depth external dependencies included here show advanced use cases such
    as dynamic function calls based on string names using globals().
    algorithmic depth external dependencies included here show advanced use cases such as dynamic function calls based on string names using globals().
    algorithmic depth external dependencies included here show advanced use cases such as dynamic function calls based on string names using globals().
    algorithmic depth external dependencies included here show advanced use cases such as dynamic function calls based on string names using globals().
    algorithmic depth external dependencies included here show advanced use cases such as dynamic function calls based on string names using globals().
    algorithmic depth external dependencies included here show advanced use cases such as dynamic function calls based on string names using globals().
    algorithmic depth external dependencies included here show advanced use cases such as dynamic function calls based on string names using globals().
    obscurity external dependencies included here show advanced use cases such as dynamic function calls based on string names using globals().
    obscurity external dependencies included here show advanced use cases such as dynamic function calls based on string names using globals().
    obscurity external dependencies included here show advanced use cases such as dynamic function calls based on string names using globals().
    obscurity external dependencies included here show advanced use cases such as dynamic function calls based on string names using globals().
    obscurity external dependencies included here show advanced use cases such as dynamic function calls based on string names using globals().
    advanced coding concepts external dependencies include multiple layers of nested functions along with error handling mechanisms which makes it quite intricate.

    ************
    ## Challenging aspects

    ### Challenging aspects in above code:
    1. **Dynamic Function Calls Using `globals()`**: The snippet leverages Python’s `globals()` dictionary for dynamically invoking functions by constructing their name strings at runtime (`globals()[f”{entity_type}_spawn”](pos)`). This requires understanding how Python’s runtime environment manages global variables/functions.

    2. **Complex Error Handling**: The snippet uses nested try-except blocks within list comprehensions which makes error tracing more challenging due to multiple layers of exceptions being caught.

    3. **Nested List Comprehensions**: The code involves complex list comprehensions that iterate over lists within lists (`for i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,a,b,c,d][index]]`). This adds complexity because it requires keeping track of multiple indices across different dimensions.

    4. **Data Structure Manipulation**: The snippet operates heavily with dictionaries nested within lists (`{“entities”: [{“type”: …, “data”: {“name”: …, “health”: …, “damage”: …, “speed”: …, “attack_cooldown”: …, “range”: …, “color”: …, “mass”: …}}]}])`, requiring careful manipulation and access patterns.

    ### Extension:
    To extend these challenges specifically:
    1. **Adding Conditional Logic Based On Entity Type**: Introduce additional conditions within `_test_entity_spawn()` that handle different types differently during initialization.

    2. **Entity Dependencies**: Some entities might depend upon others being spawned first; introduce logic that ensures these prerequisites are met before spawning certain entities.

    3. **Dynamic Configuration**: Instead of hardcoding configuration data directly into `_test_entity`, make it accept configurations dynamically via parameters passed at runtime or read from an external source like a JSON file.

    4. **Logging Enhancements**: Extend logging capabilities by adding detailed logs at various stages including before calling any spawn functions dynamically through `globals()`, capturing more granular details about each step’s success/failure states.

    ## Exercise:

    ### Problem Statement:
    You are required to expand upon an existing codebase that tests initialization by dynamically spawning entities described by configuration dictionaries containing nested structures representing various attributes like health points (`hp`), attack damage (`damage`), speed (`speed`), etc.

    The task involves extending functionality through several steps:

    #### Step-by-step Requirements:
    1. **Enhance Dynamic Initialization**:
    * Modify `_test_entity_spawn()` so it handles different types differently during initialization depending upon additional attributes present within each entity type configuration.

    * Introduce conditional logic inside `_test_entity_spawn()` that checks whether certain prerequisite entities have already been spawned before attempting further spawns.

    * Ensure comprehensive logging throughout every stage including before invoking any spawn functions dynamically via `globals()`. Log details should include timestamps and specific attributes related to each step’s success/failure states.

    #### Additional Constraints:
    * Implement dependency checks ensuring certain entities must be spawned prior others where necessary.

    * Handle configurations dynamically instead of hardcoding them directly into `_test_entity`. Accept configurations via parameters passed at runtime or read from an externally provided JSON file containing configurations similar but potentially more complex than those given initially.

    ### Provided Code Snippet ([SNIPPET]):
    python
    # Use this provided code snippet referred below [SNIPPET]

    ### Detailed Solution:

    python
    import json # Assuming JSON file usage for configurations

    # Helper Functions assumed present somewhere globally accessible including original ones mentioned earlier e.g.,
    # def player_health(): …
    # def zombie_health(): …
    # def zombie_attack(): …

    # New enhanced helper functions would look something like below

    def log(message): # Simple logging utility method assuming global context usage
    print(f”[LOG]: {message}”)

    def check_prerequisites(spawned_entities_set): # Dummy example implementation checking prerequisites prior spawning specific types
    prerequisites_met = True # Example placeholder logic assuming all prerequisites met initially

    # Add actual prerequisite checks logic according requirements

    return prerequisites_met

    def load_configurations(file_path): # Utility method loading config from JSON file path provided
    try:
    with open(file_path,’r’) as config_file:
    configs=json.load(config_file)
    log(f”Configurations loaded successfully from {file_path}”)
    return configs

    except Exception as e:
    log(f”Failed loading configurations from {file_path}: {str(e)}”)
    raise e

    def enhanced_test_entity_initialize(config_file_path):

    config_levels=load_configurations(config_file_path)

    spawned_entities_set=set()

    result=[]

    try :

    result=[_enhanced_test_level_initialize(config_levels)]

    log(“[LOG]: Enhanced Test Entity Initialize Completed Successfully.”)

    return result

    except Exception as e :

    def _enhanced_test_level_initialize(level_list):

    ### Follow-up Exercise:

    **Further Complexity Addition**:

    Imagine now that some entities might require real-time updates after being spawned depending upon interactions happening post-initialization phase (e.g.: health regeneration over time).

    #### Additional Requirements:
    * Implement periodic updates post-initialization phase which periodically adjust specific attributes for certain entities according predefined rulesets.

    * Create unit tests ensuring periodic updates behave correctly adjusting attributes without affecting already existing initializations state integrity.

    ### Solution:

    python

    import threading # For implementing periodic updates through threads if needed

    class PeriodicUpdater(threading.Thread):

    def __init__(self,interval,function,args=(),kwargs={}):
    super().__init__()
    self.interval=interval # Update interval period seconds count
    self.function=function # Function pointer performing update action
    self.args=args # Args tuple passed into update action
    self.kwargs=kwargs # Kwargs dict passed into update action

    def run(self):
    while True :

    self.function(*self.args,**self.kwargs)

    time.sleep(self.interval)

    # Example dummy update method assuming global context usage

    def dummy_update_action(*args,**kwargs):

    log(“Performing periodic attribute update…”)

    arXiv identifier: hep-th/0004019
    DOI: https://doi.org/10.1007/BF02704132
    # Hamiltonian formulation for constrained systems arising from gauge theories coupled minimally with gravity via Palatini formalism : general treatment II : Lagrangian constraints versus Hamiltonian constraints : classification scheme I : case IIB : model IIIBG-CS-GYMIIIBCSG-YMIIIBCSGYMIIICSGYMIIICSMG-YMIIICSMGYMIIIDSMGYM-IIIECSMGYM-IIIFCSMGYM-IIIGCSMGYM-IIIHCSMGYM-IIISCGYMIIITCSMGYM-IIIVSCGMYMTHEORY OF CONSTRAINTS FOR CONFINED GRAVITY AND GRAVITY-COUPLED SYSTEMS WITH MINIMAL GAUGE INVARIANCE AND HIGHER DERIVATIVES : CASE IIB : MODEL IIIBG-CS-GYM ; IIIBCSG ; YM ; IIIBCSGYM ; IIICSGYM ; IIICSMG-YM ; IIICSMGYM ; IIIDSMGYM ; IIIECSMGYM ; IIIFCSMGYM ; IIIGCSMGYM ; IIHSCGMYMTHEORY OF CONSTRAINTS FOR CONFINED GRAVITY AND GRAVITY-COUPLED SYSTEMS WITH MINIMAL GAUGE INVARIANCE AND HIGHER DERIVATIVES : CASE IIB : MODEL IIIBG-CS-GYM ; IIIBCSG ; YM ; IIIBCSGYM ; IIICSGYM ; IIICSMG-YM ; IIICSMGYM ; IIIDSMGYM ;
    Authors: M.P.Gregoriadis Jr.(RRC-Kanazawa University), J.L.Silva Neto(RRC-Kanazawa University), J.A.Nascimento(RRC-Kanazawa University), M.A.Castro-Rodrigues(RRC-Kanazawa University), L.J.Borges da Silva(RCC-USP-Brazil), E.M.R.Ferreira-da-Costa(RCC-USP-Brazil).
    Date: None<>
    if not data.name.startswith(‘tmp’):
    # don’t rename tmp files generated during import/export operations…
    new_name=data.name.replace(old_suffix,new_suffix)+’.’+new_ext.lower()
    data.rename(new_name)
    else:
    self.logger.info(‘skipping temporary file %r’%repr(data.path))
    else:
    self.logger.info(‘skipping non-image file %r’%repr(data.path))
    def rename_images(self,data_objects,rename_all=False,new_suffix=”,new_ext=’jpg’):
    “””rename images”””
    if rename_all==True:# rename all files regardless suffixes…
    for data_objn,data_objm,data_objl,data_objk,data_obij,data_obi,data_obih
    in six.moves.zip_longest(*list(map(list,list(islice(cycle([data_objects]),15))))):
    self._rename_image(data_objn,new_suffix,new_ext)# we need only one image object…
    if data_objm!=None:self._rename_image(data_objm,new_suffix,new_ext)# updaters may add images…
    if data_objl!=None:self._rename_image(data_objl,new_suffix,new_ext)# updaters may add images…
    if data_objk!=None:self._rename_image(data_objk,new_suffix,new_ext)# updaters may add images…
    if data_obij!=None:self._rename_image(data_obij,new_suffix,new_ext)# updaters may add images…
    if data_obi!=None:self._rename_image(data_obi,new_suffix,new_ext)# updaters may add images…
    if data_obih!=None:self._rename_image(data_obih,new_suffix,new_ext)# updaters may add images…
    else:# rename only files having old suffixes..
    for data_objecto,data_objectn,data_objectm,data_objectl,
    data_objectk,data_objectj,data_objecti,
    data_objecth
    in six.moves.zip_longest(*list(map(list,list(islice(cycle([data_objects]),15))))):
    self._rename_image_if_old_suffix(
    data_objecto,
    new_suffix=new_suffix,
    new_ext=new_ext,# jpg/jpeg/png/gif/tiff/tif/bmp/heif/heix/hev/hevx/
    old_suffix=self.old_default_imagesuffix,
    old_ext=self.old_default_imageext.lower())
    self._rename_image_if_old_suffix(
    data_objectn,
    new_suffix=new_suffix,
    new_ext=new_ext,# jpg/jpeg/png/gif/tiff/tif/bmp/heif/heix/hev/hevx/
    old_suffix=self.old_default_imagesuffix,
    old_ext=self.old_default_imageext.lower())
    self._rename_image_if_old_suffix(
    data_objectm,
    new_suffix=new_suffix,
    new_ext=new_ext,# jpg/jpeg/png/gif/tiff/tif/bmp/heif/heix/hev/hevx/
    old_suffix=self.old_default_imagesuffix,
    old_ext=self.old_default_imageext.lower())
    self._rename_image_if_old_suffix(
    data_objectl,
    new_suffix=new_suffix,
    new_ext=new_ext,# jpg/jpeg/png/gif/tiff/tif/bmp/heif/heix/hev/hevx/
    old_suffix=self.old_default_imagesuffix,
    old_ext=self.old_default_imageext.lower())
    self._rename_image_if_old_prefix(
    data_objectk,
    new_prefix=”,
    old_prefix=’thumb.’,
    new_sufxfix=”,
    old_sufxfix=”,
    new_postfix=’.jpg’,
    old_postfix=’.jpg’)
    self._rename_video_thumbnail_if_old_prefix(
    data_obij,”,
    ”,
    ”,
    ”,
    ”,
    ”)
    self._rename_video_thumbnail_if_old_prefix(
    data_obi,”,
    ”,
    ”,
    ”,
    ”,
    ”)
    self._rename_video_thumbnail_if_old_prefix(
    data_obih,”,
    ”,
    ”,
    ”,

    )
    return None
    def delete_unwanted_thumbnails(self,path_to_folder_with_thumbnails,file_extension_in_lower_case=’jpg’):
    “””delete unwanted thumbnails”””
    for filename_in_folder_with_thumbnails
    in os.listdir(path_to_folder_with_thumbnails)
    or []:
    filepath=os.path.join(path_to_folder_with_thumbnails,filename_in_folder_with_thumbnails)
    try:# filter files by extension only… ignore directories etc..
    if os.path.isfile(filepath)
    and os.path.splitext(filepath)[1].lower()==’.%s’%file_extension_in_lower_case
    and not filename_in_folder_with_thumbnails.startswith(‘original.’)
    and not filename_in_folder_with_thumbnails.endswith(‘.%s’%file_extension_in_lower_case)
    and filename_in_folder_with_thumbnails!=’default.jpg’:
    os.unlink(filepath)
    self.logger.info(‘deleted thumbnail %r’%filepath)
    else:# skip unwanted files..
    pass#print(filename_in_folder_with_thumbnails,’skipped…’)
    except EnvironmentError:# catch exceptions only.. do not display tracebacks..
    pass#print(filename_in_folder_with_thumbnails,’skipped…’)
    return None
    def delete_unwanted_videos(self,path_to_folder_with_videos,file_extension_in_lower_case=’mp4′):
    “””delete unwanted videos”””
    for filename_in_folder_with_videos
    in os.listdir(path_to_folder_with_videos)
    or []:
    filepath=os.path.join(path_to_folder_with_videos,filename_in_folder_with_videos)
    try:# filter files by extension only… ignore directories etc..
    if os.path.isfile(filepath)
    and os.path.splitext(filepath)[1].lower()==’.%s’%file_extension_in_lower_case
    and not filename_in_folder_with_videos.startswith(‘original.’)
    and not filename_in_folder_with_videos.endswith(‘.%s’%file_extension_in_lower_case)
    and filename_in_folder_with_videos!=’default.mp4’:
    os.unlink(filepath)
    self.logger.info(‘deleted video %r’%filepath)
    else:# skip unwanted files..
    pass#print(filename_in_folder_with_videos,’skipped…’)
    except EnvironmentError:# catch exceptions only.. do not display tracebacks..
    pass#print(filename_in_folder_with_videos,’skipped…’)
    return None
    def delete_unwanted_originals(self,path_to_originals_dir,file_extension_for_original_images=’jpeg’):
    for filename_of_original_img
    in os.listdir(path_to_originals_dir)
    or []:
    filepath=os.path.join(path_to_originals_dir,filename_of_original_img)
    try:# filter files by extension only… ignore directories etc..
    if os.path.isfile(filepath)
    and os.path.splitext(filepath)[1].lower()==’.%s’%file_extension_for_original_images
    and not filename_of_original_img.startswith(‘original.’)
    and not filename_of_original_img.endswith(‘.%s’%file_extension_for_original_images)
    and filename_of_original_img!=’default.jpeg’:
    os.unlink(filepath)# remove original image without suffixes nor prefixes nor postfixes… keep just default.original.jpg !!
    self.logger.info(‘deleted original %r’%filepath)
    else:# skip unwanted files..
    pass#print(filename_of_original_img,’skipped…’)
    except EnvironmentError:# catch exceptions only.. do not display tracebacks..
    pass#print(filename_of_original_img,’skipped…’)
    return None
    def delete_unwanted_album_artworks(self,path_to_album_artworks_dir,file_extension_for_album_artwork_images=’jpeg’):
    “””delete unwanted album artworks”””
    for filename_of_album_artwork_img
    in os.listdir(path_to_album_artworks_dir)
    or []:
    filepath=os.path.join(path_to_album_artworks_dir,filename_of_album_artwork_img)
    try:# filter files by extension only… ignore directories etc..
    if os.path.isfile(filepath)
    and os.path.splitext(filepath)[1].lower()==’.%s’%file_extension_for_album_artwork_images
    and not filename_of_album_artwork_img.startswith(‘albumart.’)
    and not filename_of_album_artwork_img.endswith(‘.%s’%file_extension_for_album_artwork_images)
    and filename_of_album_artwork_img!=’default.jpeg’:
    os.unlink(filepath)# remove album artwork image without suffixes nor prefixes nor postfixes… keep just default.albumart.jpg !!
    self.logger.info(‘deleted album artwork %r’%filepath)
    else:# skip unwanted files..
    pass#print(filename_of_album_artwork_img,’skipped…’)
    except EnvironmentError:# catch exceptions only.. do not display tracebacks..
    pass#print(filename_of_album_artwork_img,’skipped…’)
    return None
    def delete_unwanted_musicvideos(self,path_to_musicvideos_dir,file_extensions_for_musicvideo_imgs=[‘avi’,’wmv’,’mov’,’mpg’,’mpeg’,’mkv’]):
    “””delete unwanted music videos”””
    for filenameofmusicvideoimginmusicvideosdirinmusicvideosdirorinmusicvideosdirorinmusicvideosdirorinmusicvideosdirorinmusicvideosdirorinmusicvideosdirorinmusicvideosdirorinmusicvideosdirorinmusicvideosdir
    in list(os.listdir(path_to_musicvideos_dir))
    or []:
    filepath=os.path.join(path_to_musicvideos_dir,filenameofmusicvideoimginmusicvideosdirinmusicvideosdirorinmusicvideosdirorinmusicvideosdirorinmusicvideosdirorinmusicvideosdirorinmusicvideosdirorinmusicvideosdirorinmusicvideosdirorinmusicvideosdir)# get full path !
    try:# filter files by extension only… ignore directories etc..
    if (
    (
    (
    (
    (
    (
    (
    (
    (
    (
    (
    os.path.isfile(filepath)
    and len(os.listdir(path_to_musicvideos_dir))<=50000#ntttttttttpathlib.Path(directory).iterdir()ntttttttttsorted(x)n t t t t t tfor xn t t t t tin pathlib.Path(directory).iterdir()n t t t tin sorted(x)ntpathlib.Path(directory).iterate()ntpathlib.Path(directory).iterates()ntpathlib.Path(directory).iteratefiles()ntpathlib.Path(directory).iteratefilesandfolders()ntpathlib.Path(directory).iterateimages()ntpathlib.Path(directory).iterateimagesandfolders()ntpathlib.Path(directory).iterateonlyfiles()ntpathlib.Path(directory).iterateonlyimages()
    )and len(os.listdir(os.getcwd()))<=50000#ntqdm.tqdm(iterable,nskipinitial=0,ncolor=None,nclassname=None,ndesc=None,ndesc_fill='-',
    ndesc_fillchar=' ',
    ascii=None,nlazy=texttt{False},
    disable=

Trend Category Last Five Matches Results Odds Against Rivals (Win/Loss/Draw) Average Goals per Match
Recent Form: W-D-W-L-W +120/-130/+110* 1.8 Goals per Match*
Total Wins: