Sportsbook Odds Report: November 2026

This month has recorded scans on 1 of its 30 days. Every figure below covers only the days listed, and is not scaled up to a full month.

Which Sportsbook Had the Best Odds Most Often in November 2026?

Best-price share is the share of the sides a venue quoted where its price was at or tied for the highest payout of every venue quoting that same side. Each venue is measured against its own coverage, so a book that prices fewer games is not penalised for the games it skipped. Sample size is listed for every row because the denominators differ.

Coverage is the share of every price recorded this month that came from that venue. It is the check on the share beside it: a high best-price share on low coverage means the venue won most of the few sides it chose to quote, not that it beat the market. With 20 venues recording prices, an even split would put each near 5.0%.

1. Novig (prediction market): 49.2% of 392 sides quoted, over 1 day (4.0% coverage; worst price on 7.9%)
2. LowVig: 45.1% of 610 sides quoted, over 1 day (6.2% coverage; worst price on 9.2%)
3. Pinnacle: 37.0% of 514 sides quoted, over 1 day (5.2% coverage; worst price on 7.2%)
4. Fanatics: 27.4% of 658 sides quoted, over 1 day (6.7% coverage; worst price on 25.2%)
5. Bally Bet: 25.8% of 712 sides quoted, over 1 day (7.2% coverage; worst price on 30.5%)
6. DraftKings: 24.1% of 810 sides quoted, over 1 day (8.2% coverage; worst price on 23.0%)
7. BetParx: 24.0% of 712 sides quoted, over 1 day (7.2% coverage; worst price on 32.3%)
8. BetRivers: 24.0% of 712 sides quoted, over 1 day (7.2% coverage; worst price on 32.4%)
9. Bovada: 22.6% of 552 sides quoted, over 1 day (5.6% coverage; worst price on 23.7%)
10. Hard Rock Bet: 19.9% of 376 sides quoted, over 1 day (3.8% coverage; worst price on 16.2%)
11. Caesars: 15.9% of 408 sides quoted, over 1 day (4.1% coverage; worst price on 16.4%)
12. ProphetX (prediction market): 15.7% of 216 sides quoted, over 1 day (2.2% coverage; worst price on 9.3%)
13. FanDuel: 13.1% of 444 sides quoted, over 1 day (4.5% coverage; worst price on 13.5%)
14. MyBookie: 12.8% of 282 sides quoted, over 1 day (2.9% coverage; worst price on 23.8%)
15. BetOnline: 12.7% of 654 sides quoted, over 1 day (6.6% coverage; worst price on 36.7%)
16. Kalshi (prediction market): 12.4% of 450 sides quoted, over 1 day (4.6% coverage; worst price on 24.7%)
17. BetMGM: 8.3% of 424 sides quoted, over 1 day (4.3% coverage; worst price on 21.7%)
18. theScore Bet: 5.8% of 260 sides quoted, over 1 day (2.6% coverage; worst price on 24.6%)
19. Polymarket US (prediction market): 3.2% of 474 sides quoted, over 1 day (4.8% coverage; worst price on 25.3%)
20. Fliff: 0.0% of 228 sides quoted, over 1 day (2.3% coverage; worst price on 47.4%)

Do Prediction Markets Beat Sportsbooks on Price?

November 2026, measured the same way on both sides. Each group's denominator is the sides its own members actually quoted, so this is not distorted by the exchanges covering fewer games.

Exchange prices in this comparison are fee-adjusted: Kalshi and Polymarket US include each venue's taker fee and ProphetX its commission on winning bets, so an exchange number is what a taker actually pays. We publish this comparison and not a "share of all best prices" figure, because best-price credit is shared among tied venues, which would hand the larger group an advantage that is an artefact of counting rather than of pricing.

Which Book Led Each Sport?

No sport in November 2026 reached the sample this site requires for a per-sport ranking.

Sports With Insufficient Sample

These sports were scanned in November 2026 but did not reach 2,000 recorded sides across at least 3 days, so no leader is named for them. The counts are real; they are simply too small to rank on.

• NFL: insufficient sample (n = 2,086 sides over 1 day)
• NCAAB: insufficient sample (n = 1,674 sides over 1 day)
• Champions League: insufficient sample (n = 930 sides over 1 day)
• MLS: insufficient sample (n = 638 sides over 1 day)
• La Liga: insufficient sample (n = 594 sides over 1 day)
• EPL: insufficient sample (n = 516 sides over 1 day)
• NBA: insufficient sample (n = 502 sides over 1 day)
• Ligue 1: insufficient sample (n = 500 sides over 1 day)
• Tennis: insufficient sample (n = 486 sides over 1 day)
• NHL: insufficient sample (n = 482 sides over 1 day)
• Bundesliga: insufficient sample (n = 422 sides over 1 day)
• Serie A: insufficient sample (n = 388 sides over 1 day)
• UFC: insufficient sample (n = 368 sides over 1 day)
• NCAAF: insufficient sample (n = 302 sides over 1 day)

What Was the Widest Price Gap of the Month?

The largest single moneyline gap recorded in November 2026 was 11.9 percentage points of implied probability, on Ohio Bobcats at South Alabama Jaguars (NCAAB). Fanatics paid -130 on Ohio Bobcats, where Kalshi paid -217.

Drawn from 121 gap observations recorded in November 2026. This is a single recorded scan, not an average.

How Is This Measured, and What Does It Not Measure?

On every scan we record each venue's price on both sides of every game, then count how often each venue was at or tied for the highest payout on a side it quoted. Ties credit every venue holding the top price, so a book that consistently matches the market's best is not scored as though it lost. The full arithmetic, including how prediction-market fees are applied before any comparison, is on the methodology page.

This is best-or-tied share of each venue's own quoted sides. It is not the matched-lines metric. Because the denominator is only the sides a venue chose to quote, this measure rewards selective quoting: a venue that prices a narrow slice of the market and skips the rest can post a high share without ever beating the field on a like-for-like bet. That is what the coverage column beside each figure is there to expose.

The stricter measure, and this site's single source of truth for who actually has the best prices, is matched lines: it keeps only the games where every venue in the comparison quoted the same market at the same line, and ranks who won the price on those. It discards far more data and is much harder to lead. On that measure the exchanges do not lead, and no book dominates. The live matched-lines view is on Book Comparison, and the reasoning is set out in the correction of July 26, 2026. Where the two measures disagree, matched lines is the one to believe.