College basketball presents one of the most complex betting landscapes in American sports. With over 360 Division I teams spread across more than 30 conferences, the sheer volume of games — often 80 or more on a single day during peak season — creates significant variation in market efficiency. Unlike the NBA, where professional rosters are deeply scouted and lines are razor-sharp, NCAAB features massive talent disparities, wildly different playing styles, and roster turnover that can reshape a program overnight. Tempo is a critical variable: some teams play at 75+ possessions per game while others grind below 62, making totals markets particularly nuanced. Bettors who understand adjusted efficiency metrics and pace-of-play data can find genuine edges, especially in mid-major and low-profile conference matchups where sportsbooks allocate fewer resources to line-setting.
Vig on NCAAB lines tends to be wider than what bettors encounter in major professional leagues. High-profile matchups between ranked teams and marquee conference games generally carry tighter margins, approaching the standard -110/-110 spread seen in the NFL or NBA. But for games involving smaller conferences — the Southland, MEAC, or America East, for example — books often build in extra margin to account for uncertainty, sometimes pushing vig noticeably higher. This makes shopping across multiple sportsbooks especially valuable in college basketball, where the difference between a 4.5% and 7% hold on the same game is not uncommon. The books with the sharpest NCAAB lines tend to be those that attract high-volume, sophisticated action.
The NCAAB season runs from early November through the national championship in early April, with distinct phases that affect odds quality. Early-season tournaments and non-conference play in November and December often feature the softest lines, as books have limited current-season data and rely heavily on preseason projections and transfer portal assessments. Conference play from January through March typically sharpens markets as sample sizes grow. March Madness is the peak betting period, drawing massive public action that can inflate certain lines — particularly on popular brands like Duke, Kansas, and Kentucky — while creating value on lesser-known tournament teams. Home-court advantage remains one of the most significant factors in college basketball, with some venues producing double-digit home edges. Injuries to key players on thin rosters can move lines dramatically, and the one-and-done nature of the NCAA Tournament amplifies the importance of matchup-specific analysis over raw power ratings.
Oklahoma Sooners @ Baylor Bears
| Side | Market | Best Line | Worst |
|---|---|---|---|
| home | h2h | Caesars: +100 | -102 |
| away | h2h | Pinnacle: -116 | -120 |
| home | spreads | LowVig.ag: -106 (+1) | -110 |
| away | spreads | LowVig.ag: -106 (-1) | -110 |
| over | totals | LowVig.ag: -108 (+158) | -110 |
| under | totals | LowVig.ag: -108 (+158) | -110 |
| over | totals | Caesars: -110 (+158.5) | -110 |
| under | totals | Caesars: -110 (+158.5) | -110 |
| over | totals | Pinnacle: -114 (+157.5) | -115 |
| under | totals | FanDuel: -105 (+157.5) | -106 |
West Virginia Mountaineers @ Creighton Bluejays
| Side | Market | Best Line | Worst |
|---|---|---|---|
| home | h2h | FanDuel: +100 | -105 |
| away | h2h | Pinnacle: -114 | -120 |
| home | spreads | LowVig.ag: -106 (0) | -110 |
| away | spreads | LowVig.ag: -106 (0) | -110 |
| over | totals | LowVig.ag: -108 (+134.5) | -110 |
| under | totals | LowVig.ag: -108 (+134.5) | -110 |
| home | spreads | Pinnacle: -108 (+1) | -110 |
| away | spreads | Pinnacle: -108 (-1) | -110 |
Illinois Fighting Illini @ UConn Huskies
| Side | Market | Best Line | Worst |
|---|---|---|---|
| home | h2h | MyBookie.ag: -125 | -140 |
| away | h2h | BetUS: +115 | +100 |
| home | spreads | MyBookie.ag: -110 (-1.5) | -120 |
| away | spreads | DraftKings: -105 (+1.5) | -110 |
| over | totals | LowVig.ag: -108 (+139.5) | -120 |
| under | totals | FanDuel: -108 (+139.5) | -116 |
| home | spreads | Pinnacle: -102 (-2) | -115 |
| away | spreads | LowVig.ag: -106 (+2) | -120 |
Michigan Wolverines @ Arizona Wildcats
| Side | Market | Best Line | Worst |
|---|---|---|---|
| home | h2h | FanDuel: +104 | -105 |
| away | h2h | Pinnacle: -116 | -130 |
| home | spreads | LowVig.ag: -106 (+1.5) | -120 |
| away | spreads | Pinnacle: -104 (-1.5) | -116 |
| over | totals | LowVig.ag: -108 (+157.5) | -120 |
| under | totals | theScore Bet (ESPN Bet): -105 (+157.5) | -116 |
Tulsa Golden Hurricane @ Auburn Tigers
| Side | Market | Best Line | Worst |
|---|---|---|---|
| home | spreads | BetMGM: -105 (-5.5) | -110 |
| away | spreads | LowVig.ag: -106 (+5.5) | -115 |
| over | totals | LowVig.ag: -108 (+160) | -110 |
| under | totals | LowVig.ag: -108 (+160) | -110 |
| home | h2h | FanDuel: -200 | -225 |
| away | h2h | BetMGM: +185 | +164 |
| over | totals | DraftKings: -108 (+160.5) | -115 |
| under | totals | FanDuel: -105 (+160.5) | -112 |
Illinois Fighting Illini @ Arizona Wildcats
| Side | Market | Best Line | Worst |
|---|---|---|---|
| home | h2h | DraftKings: -198 | -220 |
| away | h2h | FanDuel: +180 | +164 |
| home | spreads | DraftKings: -110 (-4.5) | -115 |
| away | spreads | LowVig.ag: -101 (+4.5) | -110 |
| over | totals | LowVig.ag: -108 (+152) | -110 |
| under | totals | LowVig.ag: -108 (+152) | -110 |
UConn Huskies @ Arizona Wildcats
| Side | Market | Best Line | Worst |
|---|---|---|---|
| home | h2h | DraftKings: -218 | -245 |
| away | h2h | FanDuel: +198 | +180 |
| home | spreads | DraftKings: -110 (-5.5) | -115 |
| away | spreads | LowVig.ag: -101 (+5.5) | -110 |
| over | totals | LowVig.ag: -108 (+143.5) | -110 |
| under | totals | LowVig.ag: -108 (+143.5) | -110 |
Illinois Fighting Illini @ Michigan Wolverines
| Side | Market | Best Line | Worst |
|---|---|---|---|
| home | h2h | FanDuel: +180 | +164 |
| away | h2h | DraftKings: -198 | -225 |
| home | spreads | LowVig.ag: -106 (+4.5) | -110 |
| away | spreads | LowVig.ag: -106 (-4.5) | -110 |
| over | totals | LowVig.ag: -108 (+155.5) | -110 |
| under | totals | LowVig.ag: -108 (+155.5) | -110 |
UConn Huskies @ Michigan Wolverines
| Side | Market | Best Line | Worst |
|---|---|---|---|
| home | h2h | DraftKings: -250 | -260 |
| away | h2h | FanDuel: +210 | +205 |
| home | spreads | LowVig.ag: -106 (-6) | -110 |
| away | spreads | LowVig.ag: -106 (+6) | -110 |
| over | totals | LowVig.ag: -108 (+147) | -110 |
| under | totals | LowVig.ag: -108 (+147) | -110 |
Frequently Asked Questions
What are the best NCAAB lines today?
The table below shows which sportsbook has the best available price on each side of every upcoming NCAAB event. Line shopping across multiple books can save you 1–3% per bet compared to sticking with a single sportsbook.
Why is college basketball vig so variable?
NCAAB has hundreds of teams and thousands of games per season. Major conference matchups attract decent volume and competitive vig, but mid-major and early-season games see far less action. Sportsbooks compensate with wider margins on lower-profile games.
When is NCAAB season?
College basketball runs from November through early April, culminating in March Madness (the NCAA Tournament). The tournament generates massive betting interest and typically features some of the best vig of the NCAAB season.
Does March Madness have better vig than regular season?
Generally yes. March Madness is one of the most heavily bet events in American sports. The flood of casual and sharp money forces books to tighten their lines. Tournament vig is often 1–2% lower than early-season college basketball.
What is vig (vigorish) in sports betting?
Vig — short for vigorish, also called juice or overround — is the margin a sportsbook builds into its odds. It's the difference between the true probability of an outcome and what the odds imply. Lower vig means you keep more of your winnings on every bet. For example, a standard -110/-110 line has about 4.76% vig.
How often is this data updated?
We pull fresh odds from The Odds API three times per day — at 6:00 AM, 2:00 PM, and 10:00 PM UTC. Each snapshot captures the latest lines from every sportsbook that has posted odds. The timestamp at the top of the page shows the most recent refresh.
How is the vig grade calculated?
Each sportsbook is graded on a letter scale based on average vig: A+ (under 2%) is exceptional, A (2–3%) is excellent, B+ (3–4%) is above average, B (4–5%) is the industry standard, C (5–6%) is below average, and D (above 6%) indicates high-juice markets.
Why does lower vig matter for bettors?
Lower vig directly impacts your long-term returns. A bettor placing $1,000 per week at a book with 4% vig loses roughly $40/week to the house edge. At 2% vig, that drops to $20/week — a $1,040 difference over a year. For serious bettors, shopping for lower vig is one of the most reliable ways to improve profitability.
What sportsbooks do you track?
We track both regulated US sportsbooks (DraftKings, FanDuel, BetMGM, Caesars) and offshore books (Bovada, BetOnline, MyBookie, BetUS, LowVig.ag, BetAnySports). Data comes from The Odds API, which aggregates real-time lines from licensed sources.
How We Calculate These Numbers
- Data Source
- All odds on this page come from The Odds API, which aggregates real-time lines from licensed US and offshore sportsbooks. We track moneyline, spread, and totals markets across every sport with active betting lines.
- Update Frequency
- We pull a fresh snapshot of every tracked market three times per day — at 6:00 AM, 2:00 PM, and 10:00 PM UTC. Each snapshot captures the latest lines from every sportsbook that has posted odds for a given event. The timestamp at the top of each page tells you exactly when the data was last refreshed.
- Vig Calculation
- Vig (short for vigorish, also called juice or overround) measures the margin a sportsbook builds into its odds. We calculate it by converting the odds on each side of a market to implied probabilities, summing those probabilities, and subtracting 100%. For example, a market priced at -110/-110 implies 52.38% on each side — a total of 104.76%, meaning a vig of 4.76%. Lower vig means better value for bettors because you keep more of your winnings.
- Per-Market Breakdown
- We compute vig separately for each market type: moneyline (h2h), point spreads, and totals (over/under). The "average vig" shown for each sportsbook is the mean across all market types weighted by the number of events sampled in each market.
- Grading Scale
- Every sportsbook receives a letter grade based on its average vig: A+ (under 2%) is exchange-level pricing. A (2–3%) is very competitive. B+ (3–4%) is above average. B (4–5%) is the industry standard — a -110/-110 line is 4.76%. C+ (5–6%) is slightly below average. C (6–7%) is below average. D (7–8%) is high vig. D− (8–10%) is very high vig. F (10%+) is predatory pricing. See the full Vig Index Methodology for formulas, worked examples, and known limitations.
- Trend Tracking
- We store daily snapshots for 30 days, allowing us to show 24-hour and 7-day vig trends. A downward trend (improving) means sportsbooks are tightening their lines — often in response to increased competition or higher betting volume as a season heats up.