Premier League stats & predictions

Kampala City vs. SC Villa

This high-stakes clash is set to be one of the most anticipated matches of the day. Kampala City, known for their strong home record, will be looking to leverage their home advantage against a formidable SC Villa side. With both teams vying for top positions in the league, this match is expected to be a tactical battle.

• Kampala City: Their recent form has been impressive, with several clean sheets in their last few matches. Key player John Kizza has been in exceptional form, scoring crucial goals.
• SC Villa: Known for their attacking prowess, SC Villa will rely heavily on their star forward David Okello. However, they will need to tighten their defense to counter Kampala City's threats.

Betting Prediction: A close contest is expected, but Kampala City might have a slight edge due to their home advantage. A draw could also be a safe bet given the evenly matched nature of both teams.

Mukura Victory vs. KCCA FC

In another exciting encounter, Mukura Victory will face off against KCCA FC. Both teams have shown resilience throughout the season, making this match a must-watch for fans.

• Mukura Victory: Their solid defense has been pivotal in their recent successes. The midfield duo of Jackson Mwebaze and Tony Kakooza will be crucial in controlling the game's tempo.
• KCCA FC: With an attacking lineup that includes the prolific scorer Leroy Sibomana, KCCA FC will look to capitalize on any defensive lapses from Mukura Victory.

Betting Prediction: Given Mukura Victory's defensive strength and KCCA FC's attacking threats, a low-scoring draw seems likely. However, KCCA FC might edge out a narrow victory if they can exploit any defensive weaknesses.

Buganda United vs. Vipers SC

This match promises fireworks as Buganda United takes on Vipers SC. Both teams are in contention for a playoff spot, adding extra pressure and excitement to the encounter.

• Buganda United: Their recent form has been inconsistent, but they have shown flashes of brilliance. The midfield maestro Felix Okot will be key in orchestrating attacks.
• Vipers SC: Known for their aggressive playstyle, Vipers SC will look to dominate possession and control the game. Their striker Peter Waweru is a constant threat on set pieces.

Betting Prediction: Vipers SC may have a slight advantage due to their attacking flair and ability to capitalize on set pieces. A win for Vipers SC could be a worthwhile bet, but don't rule out an upset by Buganda United.

Influential Players to Watch

• John Kizza (Kampala City): His goal-scoring ability has been instrumental in Kampala City's recent success. Watch out for his movement in the final third and his knack for finding space.
• David Okello (SC Villa): A clinical finisher, Okello's ability to convert chances makes him a constant threat. His performance could be pivotal in determining the outcome of his team's matches.
• Leroy Sibomana (KCCA FC): Known for his pace and dribbling skills, Sibomana can break down defenses with ease. His impact on games is often decisive.
• Peter Waweru (Vipers SC): A master at set pieces, Waweru's aerial ability makes him a key player in tight contests. His presence in the box is always dangerous.

The performances of these players could significantly influence the results of tomorrow's matches. Bettors should consider these factors when placing their wagers.

Kampala City's Defensive Strategy

Kampala City is likely to adopt a compact defensive formation to counter SC Villa's attacking threats. Their focus will be on maintaining shape and limiting spaces for Villa's forwards to exploit.

• Formation: A possible 4-2-3-1 setup could provide balance between defense and attack.
• Key Players: The central defensive partnership will be crucial in neutralizing David Okello's influence.

This strategy aims to frustrate SC Villa and create opportunities on the counter-attack through quick transitions.

Vipers SC's Offensive Approach

Vipers SC is expected to press high up the pitch, aiming to disrupt Buganda United's build-up play. Their aggressive pressing can force errors and create scoring opportunities.

• Formation: A 4-3-3 formation could provide width and support for Peter Waweru in attack.
• Key Players: The wingers will play a vital role in stretching Buganda United's defense and delivering crosses into the box.

This approach relies on maintaining intensity throughout the match and capitalizing on set-piece opportunities.

Navigating Betting Markets

• Total Goals: For matches like Kampala City vs. SC Villa and Mukura Victory vs. KCCA FC, consider betting on fewer than 2.5 goals due to strong defensive setups from both sides.
• Correct Score: Betting on exact scores can be rewarding if you closely follow team form and tactics. For example, a scoreline like 1-1 or 2-1 could be plausible for tightly contested matches.
• Half-Time/Full-Time: Analyzing team performance trends at half-time can provide insights into potential full-time outcomes. Teams often adjust tactics after halftime based on early performance.

Bettors should also keep an eye on injury reports and last-minute team news that could impact match dynamics and betting odds.

Analyzing Historical Data

• Kampala City: Historically strong at home, they have secured numerous victories against top-tier opponents when playing at their home ground.
• Vipers SC: Known for their resilience away from home, Vipers SC has often managed to secure points even under challenging circumstances.
• Mukura Victory: Their defensive solidity has been evident over several seasons, often resulting in low-scoring draws or narrow victories.
• KCCA FC: Consistently competitive, KCCA FC has shown an ability to perform well against both lower-ranked and top-tier teams alike.

Evaluating these trends can provide valuable context when predicting tomorrow's match outcomes.

The Pulse of Ugandan Football Fans

Social media platforms are abuzz with predictions and discussions as fans share their excitement for tomorrow's matches. Platforms like Twitter and Facebook are filled with passionate debates over potential outcomes and standout players.

• On Twitter, hashtags like #UPLtomorrow are trending as fans express their hopes and predictions using catchy slogans like "Kampala City must win!" or "Vipers ready to strike!" This engagement not only boosts fan morale but also keeps the conversation lively around each team’s prospects.
  
• Facebook groups dedicated to Ugandan football are buzzing with activity as fans share match analyses and discuss team line-ups. Comment sections are filled with insightful opinions from die-hard supporters who have followed their teams through thick and thin.
  
• Instagram stories feature real-time updates from stadiums around Uganda where fans gather to watch live broadcasts or cheer from afar using branded filters celebrating local clubs.
  
• YouTubers specializing in sports content release pre-match analysis videos offering expert insights into team strategies while engaging viewers through interactive polls about possible results.
  
• Reddit forums see heated discussions among users debating over who should start as captain or which referee might favor which team based on historical bias.
  

This social media engagement reflects how deeply intertwined football is within Ugandan culture—creating an electrifying atmosphere before each match day that amplifies anticipation across all platforms.


No football matches found matching your criteria.

The excitement isn’t limited online either; stadiums are packed with cheering fans donning vibrant club colors ready to support their favorite teams vociferously throughout each game.


• Traditional chants echo through stadiums creating an intense atmosphere that energizes players while intimidating opponents—fostering unforgettable experiences that bond communities together through shared passion.
  
• Fans proudly wear club merchandise ranging from jerseys adorned with player names or numbers symbolizing allegiance towards specific athletes who inspire them most.
  yolkin-dev/yolkin-dev.github.io<|file_sep|>/_posts/2019-05-24-tensorflow-gpu-installation-on-windows.md --- title: "TensorFlow GPU installation on Windows" excerpt_separator: "" categories: - TensorFlow - Windows tags: - tensorflow - windows --- I've spent more time than I'd like installing TensorFlow GPU on Windows. This article describes how I installed it. ## Preparation First install [CUDA](https://developer.nvidia.com/cuda-downloads) & [cuDNN](https://developer.nvidia.com/cudnn). I've downloaded `cuda_9_1_85_win10.exe` & `cudnn-9.1-windows7-x64-v7.zip`. ### CUDA Downloaded file was `cuda_9_1_85_win10.exe`, so I've extracted it. C:Program FilesNVIDIA GPU Computing ToolkitCUDAv9.1 Then I've installed it.  It was easy. ### cuDNN Downloaded file was `cudnn-9.1-windows7-x64-v7.zip`, so I've extracted it. C:Program FilesNVIDIA GPU Computing ToolkitCUDAv9.1bincudnn64_7.dll C:Program FilesNVIDIA GPU Computing ToolkitCUDAv9.1includecudnn.h C:Program FilesNVIDIA GPU Computing ToolkitCUDAv9.1libx64cudnn.lib ## Install Miniconda Download Miniconda installer from [here](https://conda.io/miniconda.html). I've downloaded `Miniconda3-latest-Windows-x86_64.exe`. Then run it & follow instructions.  ## Create Conda environment In this article I used Anaconda Prompt. bash $ conda create --name tf_gpu python=3.6 anaconda $ conda activate tf_gpu ## Install TensorFlow GPU bash $ pip install tensorflow-gpu==1.12 ## Test Create `test.py`. python import tensorflow as tf hello = tf.constant('Hello Tensorflow!') sess = tf.Session() print(sess.run(hello)) Run it! bash $ python test.py Hello Tensorflow! Success! ## Reference * [TensorFlow installation guide](https://www.tensorflow.org/install/pip#windows) * [How To Install TensorFlow-GPU On Windows | by yutiansut | Medium](https://medium.com/@yutiansut/how-to-install-tensorflow-gpu-on-windows-dc8d9e33408e) * [Installing TensorFlow CPU-only version (GPU version) in Windows | by Carlos Ezequiel Tellez | Medium](https://medium.com/@carlosezecarlos/installing-tensorflow-cpu-only-version-gpu-version-in-windows-b49bca0bcde7) <|repo_name|>yolkin-dev/yolkin-dev.github.io<|file_sep|>/_posts/2018-06-29-kaggle-higgs-boson-challenge.md --- title: "Kaggle Higgs Boson Challenge" excerpt_separator: "" categories: - Kaggle tags: - higgs boson challenge --- I've participated Kaggle Higgs Boson Challenge. My score was **0.77992**. ## Problem statement The objective of this competition is two-fold: * Develop new analysis methods which can identify signatures of Higgs boson production, * Analyze all aspects of the machine learning methods being used including systematic uncertainties. ## Dataset description The data provided by ATLAS Collaboration at CERN consists of seven variables which are described below: * **Label**: indicates whether an event is a signal (class=1) or background (class=0). The label value is determined by Monte Carlo simulation. * **PRI_jet_num**: number of jets reconstructed by the particle-flow algorithm. * **DER_mass_MMC**: mass of the pseudo-top quark candidate. * **DER_mass_transverse_met_lep**: mass formed by combining lepton momentum vector with missing transverse momentum vector. * **DER_lepton_eta_centrality**: absolute value of difference between lepton pseudorapidity (η) and median η of all selected jets. * **DER_pt_h**: pt-based kinematic variable formed using leading jet pt. * **DER_deltaeta_jet_jet**: absolute value of difference between jet pseudorapidity (η). * **DER_mass_vis**: invariant mass formed by our final-state lepton pair. * **PRI_met**: missing transverse momentum (in GeV) calculated using particle-flow objects. * **PRI_met_phi**: azimuthal angle φ (in radians) of missing transverse momentum calculated using particle-flow objects. * **PRI_leptonic_pid**: lepton PID likelihood. * **PRI_leptonic_pt**: lepton pt (in GeV). * **PRI_leptonic_eta**: lepton pseudorapidity (η). * **PRI_leptonic_phi**: lepton azimuthal angle φ (in radians). * **PRI_leptonic_mass**: lepton mass (in GeV). * **PRI_jet_num**: number of jets reconstructed by particle-flow algorithm. * **PRI_jet_all_pt**: scalar sum of jet pt’s. * **PRI_jet_central_pt**: scalar sum of pt’s of jets closest to lepton direction. * **Derivation variables**: * DER_deltaeta_jet_jet * DER_deltaphi_jet_jet * DER_mass_jet_jet * DER_prodeta_jet_jet * DER_prodeta_jet_lepton * DER