How to Make Your Own Projections for Sports Bets

Cut the Noise, Get the Numbers

Look: sportsbooks throw a thousand stats at you, but most of them are smoke. The real edge lies in a clean data set you trust. Grab the last 30 games of the team you’re eyeing, filter out outliers, and you’ve got a raw material worth your time.

Build a Simple Model in Minutes

Here is the deal: use a spreadsheet, not a PhD‑level algorithm. Column A, dates. Column B, points scored. Column C, points allowed. Add a moving average – three games for a quick pulse, ten for a deeper vibe. The math? =AVERAGE(B2:B4). Boom. That’s your baseline projection.

Factor in Home‑Field Advantage

Home teams win about 55% of the time. Simple adjustment: add 3.5 points to the home team’s average, subtract the same from the visitor. It’s not perfect, but it slashes the sportsbook’s margin.

Don’t Forget Pace

Teams that run a 70‑play tempo look different from those stuck at 60. Calculate plays per game, then scale your points‑per‑play figure accordingly. If a team averages .9 points per play and you’re expecting 70 plays, you forecast 63 points.

Incorporate Injuries and Lineup Shifts

By the way, a star out hurts the spread more than a bench player. Use a quick “impact score”: starter’s PER (Player Efficiency Rating) vs. bench average. Multiply the difference by a factor of 0.75 and add to your projection. It’s crude, but it beats ignoring the injury.

Check the Market, Then Act

Here’s why: your model may say 112, the book shows 108. That 4‑point gap is where the value lives. If the market is within 1‑2 points, back off. If it’s 4‑plus, you’ve found a betting edge.

Validate and Iterate

Don’t just trust the first run. After each game, compare actual results to your projection. Record the error, adjust the moving average window, tweak the home‑court boost. Over 20 games you’ll see the bias shrink.

Automation Made Easy

Grab a free data source – for example, bet-mean.com – pull CSV files, drop them into your sheet, and let formulas do the heavy lifting. No code, no API keys, just plain Excel or Google Sheets.

Final Cut

Take your model, run it live on tonight’s slate, and place the bet only if the sportsbook line deviates by at least four points from your projection.