🧠 College Football Data Model Training Pack
🔥 Launch Price: $59 (normally $69) – Limited Time!
Level up your model building with clean, structured college football training data + 7 production-ready notebooks tailored to real-world prediction tasks.
Stop wrestling with raw data. Start training powerful models that work.
---
✅ What’s Inside
📂 Training CSV – A single, cleaned dataset designed for model training:
- Opponent-adjusted features
- One row per game (Week 5+ only)
- Covers 2016–2024 seasons
- 84 usable features per row + game outcome fields
🧠 7 Jupyter Notebooks – Each one shows how to train and evaluate a different model on real CFB outcomes:
1. Linear Regression → predict final score margin
2. Random Forest → predict final home & away points
3. XGBoost Classifier → predict win probability
4. FastAI Neural Net → predict win probability
5. Logistic Regression → interpret and benchmark win probability
6. SHAP Interpretation → visualize feature importance and prediction breakdowns
7. Stacked Ensemble → combine models for improved predictions
🔍 All notebooks include:
- Real working code (sklearn, XGBoost, fastai, SHAP)
- Clean train/test split using 2023 as holdout
- Evaluation metrics: MAE, RMSE, Accuracy, AUC, Log Loss, Calibration
📘 Bonus PDF – Full Data Dictionary + Notebook Overview
🎯 Built for model builders, analysts, students, and bettors alike
---
⚡ Why This Model Pack Exists
You asked:
> “How do I actually train a model to predict games?”
> “What are the best features to use?”
> “How can I test win probability or spread covers?”
This Model Training Pack is the answer.
It gives you:
- 🧼 Clean, structured, opponent-adjusted features
- 🏗️ A proven training format used in production models
- ✅ Working examples to customize, tweak, and expand
Whether you’re building a pick’em bot, an academic model, or a custom dashboard, this pack saves you dozens of hours.
---
🧩 Designed For:
- Data scientists & model builders 🧮
- Football bloggers & hobbyists ✍️
- Academic researchers 📚
- Betting modelers & analytics nerds 🎯
---
🗂️ Full Breakdown on what's included
---
🎁 Launch Price: $59
Normal price: $69. Get it now while the intro pricing lasts.
---
🛑 License & Usage
This pack includes factual game information and derived team-level metrics based on public data sources. No proprietary or player-level data is included. All models and features are original to CollegeFootballData.com.
For personal use only by the original purchaser. Redistribution, resale, or public sharing is strictly prohibited.
---
🗂️ Full Breakdown of What’s Included
- training_data.csv (2016–2024, Week 5+ games)
- headers.md (feature dictionary + field groupings)
- 01_linear_regression_margin.ipynb
- 02_random_forest_team_points.ipynb
- 03_xg_boost_win_probability.ipynb
- 04_fast_ai_win_probability.ipynb
- 05_logistic_regression_win_probability.ipynb
- 06_shap_interpretability.ipynb
- 07_stacked_ensemble.ipynb
- model_pack_overview.pdf
---
❓ Does this pack include player-level data?
No, this pack is focused entirely on team-level features.
That’s intentional. Most predictive modeling success comes from team context, not raw player stats.
You get:
- 📊 Adjusted EPA, success, explosiveness, havoc, field position
- 🧠 Clean targets like win, margin, cover, and team points
- 🛠️ Modeling notebooks you can run, extend, and tweak
---
❤️ Thank you for supporting a fully independent, community-driven college football analytics project.
A ready-to-train dataset + 7 working model notebooks built specifically for college football predictions. Includes opponent-adjusted features, realistic targets (win probability, score margin, team points), and walkthroughs using Linear Regression, Random Forest, XGBoost, FastAI, Logistic Regression, SHAP, and stacking ensembles. Perfect for analysts, bettors, students, and hobbyists who want to build real models fasts.