NBANFLCFBCBB NO DATA
Slate
Our fair line for every game.
Standings
Schedule
News
Picks
Every pick logged from the slate, graded as results land. Add the closing line to score it: closing line value, not wins, says whether the model has an edge.
Files
No picks yet. Enter your book’s line on a slate card and press Log pick.
Picks are saved in this browser. Back up now and then (under Files): clearing the browser’s site data deletes them, and another browser or device will not see them. Each pick keeps the opening line its book showed when you logged it, so the Picks tab can measure how far the line moved your way.
Backtest
The charts and tables, explained
The scorecard

What this shows: the grade and the numbers behind it, over the five test seasons. A typical miss is how many points the line was off from the final margin in an ordinary game (statisticians call it RMSE). Difference is ours minus the market’s, and luck is how much it could wobble by chance. Beyond the market asks whether our line knows anything the market’s doesn’t: 0 means no.

What the model learned

What this shows: the settings Method A worked out for itself from past games: what home court, a back-to-back, rest and travel are worth in points, how far the rest of Division I plays under the big six conferences, and how much of last season a rating keeps. Spread of misses says how far a real score usually lands from our line, which is how a line becomes a win chance.

Where it misses: by matchup and by month
◆ How many more points we missed by than the market, by matchup
The gold line is the half-point goal. Shorter bars are better.
◆ How many more points we missed by than the market, by month
The gold line is the half-point goal. Shorter bars are better.

What this shows: November is where we trail the market most. Our ratings start from last season, and college rosters change more than any league’s: freshmen arrive, transfers switch teams, and a bench player whose seniors graduated suddenly plays 30 minutes. The market knows about that in November; our ratings learn it from the first few weeks of scores. Games between a big-six team and the rest are hard too: most come in November and December, when ratings know least.

Did the tuning fit the past too closely?
◆ Every setting we tried: its error on the tune seasons, against its error on the test seasons

What this shows: each dot is one of the settings we tried for how fast ratings move, how much of last season they keep, and how much a closing line counts. We picked the gold dot because it did best on the tune seasons. If the tuning had fit old seasons too closely, the gold dot would sit high on the test seasons. College basketball changes a lot from year to year, so the grid is coarse on purpose and only three settings are tuned.

Is there an edge?
◆ The Slate’s rule at the closing line
◆ How often our side won at the closing line, by how far apart we were
The gold line is 52.4%, what you need to win to make money at the usual price.
◆ Against the opener: how often the close moved toward our number

What this shows: against the closing line our LEANs lose, as on the other Lines pages: the close already knows what our ratings know. Against the opener, the first line posted, it is different: when our number was a few points from it, the close usually moved toward us. That movement is closing line value, the leading sign of an edge. Whether it pays is what the Picks tab is measuring.

Season by season

What this shows: how far off we were each season, next to the market. Difference is ours minus the market’s; green means within the half-point goal. Tune seasons set the model up; Test seasons are the exam it never saw. 2019-20 and 2020-21 are missing: the first was cut short in March and the second was the COVID season, both rated but not scored. A season is named by the year it ends.

Win chances: did they come true?
◆ Chance we gave the home team to win, against how often it won

What this shows: each dot is a group of games where we gave the home team about the same chance to win; bigger dots hold more games. Dots on the dashed line mean our percentages can be trusted:

Games where we disagreed most with the market

What this shows: the ten test games where our line and the market’s were furthest apart, with the final score. Most are early in the season, or a team missing its best player: news the market has and our ratings don’t.

Lines Monitor · 2026 · data by CollegeBasketballData.com