To build a betting model in a spreadsheet, you can find free, comprehensive tracker templates at AusSportsBetting. If you prefer a wider variety of affordable, pre-made designs or specific features, Etsy is a strong marketplace option. For those focusing on advanced statistical models such as finding positive expected value in NFL betting, Gameday Math provides the best specialized templates for those specific workflows.
2EtsyBest for affordable, customizable, and ready-made trackers. It is ideal for hobbyist bettors looking for specific designs, such as football squares or personalized P&L sheets created by individual designers.47%
3AusSportsBettingBest for free, standard, and advanced Excel or Google Sheets templates. These are highly versatile for users who need a foundational, no-cost structure for their betting records and basic modeling.41%
If you mean a sports-betting model rather than just a bet tracker, I’d separate the options into three categories:
Free starting point:aussportsbetting.com — unusually comprehensive, with separate sheets for bets, deposits, available funds, and performance. It also has a staking-plan version.
Free simple tracker:s2sbets.app — Google Sheets/Excel, with automatic P&L and ROI calculations.
Actual modeling templates:excelbets.com — has Excel/Google Sheets models using both market odds ("top-down") and analytical inputs ("bottom-up").
More advanced Google Sheets models:underdogchance.com — includes models for sports such as MLB and NBA and is designed around producing your own prices rather than simply following picks.
Free modeling example to learn from:github.com — useful if you want to understand how a proper probability model can be constructed rather than buying a black-box spreadsheet.
What I'd put in your spreadsheet
If your goal is to build your own betting model, not merely track wagers, I'd structure it as:
Raw Data — teams/players, historical results, injuries, etc.
Ratings/Model — Elo, player ratings, xG, pace, efficiency, etc.
Probability — your estimated probability for each outcome.
Market Odds — sportsbook odds converted to implied probability.
Edge/EV — compare your probability with the market.
Bet Filter — minimum edge, liquidity, odds range, etc.
Staking — fixed units or fractional Kelly.
Bet Log — every wager and closing line.
Performance Dashboard — ROI, CLV, yield, drawdown, calibration, and results by market.
One important distinction: a tracker tells you whether you made money; a model attempts to estimate what the fair probability/price should be. For building a model, I'd use the tracker templates primarily for the logging/dashboard infrastructure and build the probability engine separately.
If you tell me which sport/league and market you want to model (e.g. NFL spreads, NBA sides/totals, MLB moneylines, soccer 1X2), I can find templates specifically suited to it—or help you build the entire Excel/Google Sheets model from scratch.
Finding the right spreadsheet template depends on whether you want a simple tracker for your wins and losses or an advanced analytical model. Several top resources and community-favorite templates are available for Excel and Google Sheets:
Australia Sports Betting Tracker : One of the most comprehensive and popular free options available for both Google Sheets and Excel. It features multi-tab depth covering deposits, bankroll across multiple bookmakers, performance summaries, and interactive graphs.
Reddit r/sportsbook Community Sheets : The community regularly shares user-built, automated trackers. Threads like this one offer free, clean Google Sheets templates with drop-down menus for sports, automated win/loss records, and ROI tracking.
Microsoft Create Templates : If you search Excel's built-in templates or online portal for "tracker" or "budget/ledger," you can easily repurpose a basic financial ledger or investment tracker to automatically compute conditional formatting, sums, and running balances for wagers.
YouTube Tutorials with Free Downloads : Channels like MyOnlineTrainingHub or specialized sports modeling channels often walk you through building one step-by-step and provide a direct link to download the finished .xlsx file in the video description (such as this guide on Creating a Bet Tracker in Excel).
To help narrow down the best option, tell me:
Are you looking for a simple bankroll & profit/loss tracker or a predictive statistical modeling sheet?
Finding a great template depends on whether you need a bankroll tracker (to log wins, losses, and ROI) or an actual predictive modeling sheet (to calculate probabilities and edges).
Top Sources for Betting Templates
Aus Sports Betting: Offers a comprehensive Google Sheets Betting Tracker which includes dedicated tabs for settings, deposits, active credit per bookmaker, and performance summaries.
Reddit Community Resources : The community at r/sportsbook frequently shares user-built, automated templates like this Automated Google Sheets Bet Tracker that auto-calculates win percentages, stakes, and bankroll breakdown by sport.
I found using a pre-made Google Sheet tracker with dropdowns for sportsbooks and result statuses saved me hours of formatting and kept my bankroll discipline on point.
Building your own data validation tables first (for sports, leagues, and odds formats) makes expanding your model later infinitely easier than trying to patch formulas halfway through.
If you'd like, let me know:
Are you looking for a bankroll/tracker spreadsheet or a statistical prediction model (like Poisson or Elo)?
Do you prefer Google Sheets or Microsoft Excel?
I can help you outline the exact formulas or structure you'll need.
If you mean a sports-betting model rather than just a bet tracker, I’d look for templates that include probability → fair odds → edge/EV → bet sizing → results/CLV, rather than spreadsheets that only record wins and losses.
Here are some good places to start:
Free starter: S2S Bets has a Google Sheets/Excel tracker with automatic P&L and ROI calculations. Good if you're building your own model from scratch.
Free sport-specific trackers:BettorEdge has downloadable Excel/Google Sheets templates for NBA, NFL/college football, and MLB, with market-level ROI and additional sport-specific fields.
More advanced Google Sheets models:Underdog Chance offers actual pricing/model spreadsheets for MLB, NBA and other sports, rather than merely tracking bets.
EV/CLV-oriented template: There are paid Excel/Google Sheets templates specifically built around expected value, closing-line value and edge analysis.
Build-your-own + live odds: The Odds API provides a Google Apps Script example for pulling sportsbook odds directly into Google Sheets, which is useful if you eventually want an automated model.
Open-source models: GitHub has projects such as EdgeOS that show how a more complete model can combine projections, market odds, EV and data-quality checks.
What I'd put in your spreadsheet
A solid architecture would be:
Inputs — team/player stats, injuries, pace, weather, etc.
Projection — your estimated score/margin or win probability.
Market — sportsbook, line, odds and timestamp.
Fair price — model probability converted to fair odds.
Edge/EV — model probability vs. market-implied probability.
Bet sizing — bankroll, unit size and optionally fractional Kelly.
Bet log — every wager and its result.
CLV — your price compared with the closing market.
Performance dashboard — ROI, yield, drawdown, calibration, results by market/sport/book.
Backtesting — historical predictions and out-of-sample performance.
If you're serious about building one, I'd actually recommend using a simple tracker as the foundation and then building the model on top of it, rather than buying a giant "all-in-one" spreadsheet. That makes it much easier to understand and audit your assumptions.
If you tell me which sport/market you want to model (e.g. NBA spreads, NFL moneylines, MLB totals, player props), I can lay out the exact Google Sheets/Excel structure and formulas for you.
If you tell me which sport/market you want to model (e.g. NBA spreads, NFL moneylines, MLB totals, player props), I can lay out the exact Google Sheets/Excel structure and formulas for you.
If you mean a true betting model—where the spreadsheet estimates probabilities/fair odds and calculates EV, rather than just tracking bets—there are a few good places to start:
underdogchance.com — Offers actual pricing models for MLB, NBA and other sports. Good if you want to study how a model is structured rather than simply record wagers.
excelbets.com — Has both top-down models based on sportsbook prices and bottom-up analytical models using statistical inputs. These are paid models.
etsy.com — A more packaged template covering EV, fair odds, Kelly sizing, parlays and arbitrage.
github.com — Open-source project with MLB, NBA and NFL models. It's not a spreadsheet template, but it's useful if you're interested in eventually making your spreadsheet more sophisticated.
github.com — Particularly useful if you want your spreadsheet to pull sportsbook odds automatically rather than entering them manually.
If you're building your own model, I'd actually recommend starting with a simple workbook containing:
Inputs — team/player stats, injuries, pace, weather, etc.
Model — projected score/probability.
Market — sportsbook odds and implied probability.
Edge/EV — model probability minus market probability and expected value.
Bet sizing — optional fractional Kelly calculation.
Bet log — actual wagers and closing-line information.
Backtest/dashboard — ROI, CLV, calibration, performance by market, and sample size.
For comparison, a basic bet tracker such as the free S2S template is useful for the logging/dashboard portion, but it isn't really a predictive model.
If you tell me which sport and market you want to model (e.g. NBA spreads, NFL totals, MLB moneylines, soccer), I can lay out a complete Google Sheets/Excel model—including the tabs, columns, formulas, and probability/EV calculations.
Finding the best betting model or tracker template depends on whether you need a simple bankroll tracker/log or a complex predictive analytics model (like Poisson distributions or Elo ratings for match outcomes).
Top places to find and download quality templates include:
Aus Sports Betting offers a free, highly-rated Google Sheets Betting Tracker (compatible with Excel and OpenOffice) that tracks history, deposits, available funds across bookmakers, and generates performance summary graphs.
Reddit Communities like r/sportsbook are fantastic for finding free, community-built Google Sheets. Users frequently share automated templates that calculate ROI, win percentage, and profit/loss breakdowns by sport. You can search the sub or look at pinned community resources.
Etsy features a massive marketplace of affordable, professionally designed Etsy Betting Tracker Templates optimized for Excel and Google Sheets, often featuring sleek dark-mode dashboards, automated P&L charts, and closing line value (CLV) trackers.
YouTube Tutorials (such as channels focused on sports analytics and ExcelBets ) often provide walkthroughs on building models from scratch with downloadable completed templates available in the video descriptions or linked web shops.
Are you looking for a simple bankroll and profit/loss tracker , or do you need a predictive statistical model (like expected value calculations or regression analysis) for a specific sport?
If you mean a sports-betting prediction/modeling spreadsheet rather than just a bet tracker, there are some good starting points. I’d separate them into three categories:
Best places to start
Underdog Chance — Google Sheets betting models: Probably the closest match to what you’re describing. They have sport-specific models for MLB, NBA, NFL, NHL, WNBA and soccer, designed to produce your own fair lines/probabilities rather than simply give picks.
ExcelHelpNow — comprehensive betting model: A relatively inexpensive Excel/Google Sheets template covering expected value, implied probability, no-vig calculations, Kelly Criterion, parlays and arbitrage. This is useful if you want a spreadsheet with the underlying betting math already built.
BettorEdge — free trackers: Better if you want to build your own model from a clean historical betting database. Their templates track odds, stakes, results, ROI, units and performance by market/sport, with versions for NBA, NFL, MLB and general betting.
SpreadsheetsHub — betting journal: A more polished paid tracking/journal template with P&L, ROI, bankroll impact and filtering by sport, league, bet type, sportsbook and odds range.
What I'd recommend
If your goal is to actually build your own betting model, don't start with a giant complicated template. I'd build a Google Sheet with roughly these tabs:
Game Data — teams, date, home/away, injuries, stats
Market Data — sportsbook lines and odds
Model — your predicted probability/score/line
EV Calculator — model probability vs. implied probability
Bet Log — every wager and closing line
Results — ROI, units, CLV, win rate, drawdown
Dashboard — performance by sport, market, odds range, confidence, etc.
The really important part is having the spreadsheet calculate fair probability → fair odds → expected value → recommended stake. A tracker that only tells you whether you're winning isn't really a betting model.
If you tell me which sport you're modeling (NFL, NBA, MLB, NHL, soccer, etc.) and whether you use Excel or Google Sheets, I can lay out a complete spreadsheet architecture—including the exact columns and formulas—so you can build your own model rather than buying one.
Finding a solid template depends on whether you are looking for a basic bankroll tracker or a predictive analytical model (which calculates expected value, Poisson distributions, or Elo ratings).
Top places to find and download templates include:
Reddit Communities: The r/sportsbook on Reddit thread is filled with user-shared, automated Google Sheets and Excel trackers that compute win percentages, bankroll growth, and ROI by sport.
Marketplace Templates: Platforms like Etsy Betting Excel Templates offer professionally designed, aesthetic P&L (Profit and Loss), dark-mode dashboards, and closing line value (CLV) trackers for low costs.
Tutorial Walkthroughs: YouTube channels like Excel Now provide step-by-step guides on How to Build an Excel Sports Betting Dashboard where you can construct interactive slicers and logs from scratch.
Open-Source GitHub Repositories: Searching GitHub for "sports betting model excel" or "betting python google sheets" will surface open-source repositories containing historical data sheets and Poisson regression prediction models.
To help narrow down the best path, tell me:
Are you looking to track your bets and bankroll , or build a predictive mathematical model (like power rankings or Poisson)?
Finding the right spreadsheet template depends on whether you need a tracker (to log bankroll, profit/loss, and ROI) or an actual predictive model (to calculate probabilities and expected value).
The best places to find and download these templates range from free community tools to specialized marketplaces:
Aus Sports Betting Google Sheets Tracker : A widely recommended free multi-sheet tracker that handles bankroll management, deposits, and performance history with built-in summary graphs.
Etsy Sports Betting Trackers : If you want an aesthetically polished, highly customized dashboard with dark mode or advanced visual layouts, independent creators sell advanced Google Sheets and Excel templates here very cheaply.
Excel Bets YouTube Tutorials : Excellent for finding step-by-step walk-throughs on building functional top-down +EV (Expected Value) or line-shopping models with downloadable resources linked in their video descriptions.
Wunderdog / Sports Betting Community Forums : Community-driven subreddits and forums frequently share open-source Google Sheets models built by users for specific sports (NFL, NBA, MLB) that factor in power rankings or regression analysis.
To help narrow down the best choice, tell me:
Are you looking for a bankroll/profit tracker or a statistical prediction model (like Elo or regression)?
If you want to build a real betting model (not just a bet tracker), look for templates that include probability estimates, fair odds, expected value (EV), backtesting, and bankroll management. The best sources depend on whether you want a simple spreadsheet or a more advanced pricing model.
Best places to find betting model spreadsheet templates
1. Google Sheets / Excel model marketplaces
Good for ready-made frameworks you can customize.
Excel Bets — Offers Excel and Google Sheets models built around EV calculations, market odds comparisons, and sport-specific approaches.
Etsy — Has many inexpensive betting spreadsheets, including EV calculators, dashboards, bankroll trackers, and sport-specific models. Quality varies, so check reviews and formulas before buying.
2. Free templates to use as a starting point
Good if you want to build your own.
BettorEdge provides free bet trackers for sports like NBA, NFL, and MLB that include ROI, units, and market breakdowns. These are more tracking-oriented than predictive models, but they are useful as a foundation.
S2S Bets has a free Google Sheets betting tracker template with automatic P&L and ROI calculations.
3. Model-building resources
Better if your goal is to create your own edge.
Underdog Chance has examples of Google Sheets betting models and explains concepts like fair odds, implied probability, EV, and comparing your model price to sportsbook lines.
What I would look for in a good template
A strong spreadsheet usually has these tabs:
Data Input
Team/player stats
Injuries
Rest days
Weather (if relevant)
Historical performance
Model Engine
Weighted ratings
Regression/Elo/power ratings
Projection formulas
Probability output
Market Comparison
Sportsbook odds
Implied probability
Your fair odds
Edge %
EV %
Bet Log
Bet placed
Odds
Stake
Closing line
Result
ROI
Backtesting Dashboard
Win rate
ROI
Closing line value (CLV)
Performance by league/market
My recommendation by skill level
Beginner: Start with a bet tracker + EV calculator template and gradually add your own ratings.
Intermediate: Build a sport-specific model (NBA, NFL, MLB, soccer, etc.) with projections and backtesting.
Advanced: Use Excel/Sheets as the front end and move data collection/model calculations into Python later.
If you tell me which sport (NFL, NBA, MLB, soccer, UFC, horse racing, etc.) and whether you want Excel or Google Sheets, I can point you toward more specialized templates or help design the spreadsheet structure.
