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NJIT at Vermont: Spread

📊 $2K traded 🏦 Source: Kalshi
Total Volume
$2K
Open Interest
1,624
Active Markets
23
Markets
23

Trade This Market

Yes Bid
Yes Ask
Last Price
Prev Close
Buy YES → Buy NO

Prices in cents (1¢ = 1%). Trade on Kalshi.

All Outcomes (23)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Vermont wins by over 11.5 Points 54%
55¢ 58¢ $1K Trade →
Vermont wins by over 13.5 Points 48%
45¢ 49¢ $378 Trade →
Vermont wins by over 10.5 Points 60%
55¢ 60¢ $168 Trade →
Vermont wins by over 14.5 Points 46%
40¢ 43¢ $51 Trade →
Vermont wins by over 4.5 Points 87%
73¢ 83¢ $11 Trade →
Vermont wins by over 22.5 Points 0%
28¢ $0 Trade →
Vermont wins by over 17.5 Points 0%
19¢ 42¢ $0 Trade →
Vermont wins by over 2.5 Points 0%
70¢ 92¢ $0 Trade →
Vermont wins by over 1.5 Points 0%
72¢ 94¢ $0 Trade →
Vermont wins by over 23.5 Points 0%
27¢ $0 Trade →
Vermont wins by over 25.5 Points 0%
25¢ $0 Trade →
Vermont wins by over 26.5 Points 0%
44¢ $0 Trade →
NJIT wins by over 4.5 Points 0%
40¢ $0 Trade →
Vermont wins by over 8.5 Points 0%
63¢ 74¢ $0 Trade →
Vermont wins by over 16.5 Points 0%
31¢ 42¢ $0 Trade →
Vermont wins by over 28.5 Points 0%
40¢ $0 Trade →
NJIT wins by over 2.5 Points 0%
45¢ $0 Trade →
Vermont wins by over 19.5 Points 0%
14¢ 37¢ $0 Trade →
Vermont wins by over 5.5 Points 0%
61¢ 83¢ $0 Trade →
Vermont wins by over 7.5 Points 0%
66¢ 76¢ $0 Trade →
NJIT wins by over 1.5 Points 0%
24¢ $0 Trade →
Vermont wins by over 20.5 Points 0%
11¢ 33¢ $0 Trade →
NJIT wins by over 5.5 Points 0%
26¢ $0 Trade →

About This Market

This market asks which margin range the final score of the NJIT at Vermont game will fall into (the spread). It matters because spread markets capture the market’s view of how close or lopsided a contest will be and let traders express views on game margins rather than just winner/loser.

NJIT and Vermont are Division I college basketball programs that typically compete as mid-major opponents; Vermont has a history of strong conference-level performance and NJIT has been competitive in non-power conferences. Matchups between these teams turn on style, roster availability, and where the game is played, which often shapes betting markets and spreads.

Each outcome corresponds to a specific point-margin range for the final score; prices reflect the market consensus about which margin is most likely but can move as information arrives. Treat market prices as continuously updated aggregation of available information, and expect spreads to shift as team news, injuries, or betting flows occur.

Key Factors

Frequently Asked Questions

When does the NJIT at Vermont: Spread market typically close relative to the game start?

Spread markets like this usually close at or just before the scheduled game tipoff; check the event page for the official close time and any updates if the schedule changes.

What do the 23 outcomes in the NJIT at Vermont: Spread market represent?

They represent different point-margin buckets for the final score (for example, specific ranges in favor of either team). Each outcome corresponds to a particular spread range rather than a simple win/loss result.

How should I weigh Vermont’s home-court in assessing which spread outcome is likely?

Home-court typically reduces travel fatigue and increases crowd impact on momentum and free-throw shooting; for Vermont this tends to compress expected margins in their favor relative to a neutral site, but the effect size depends on matchup and roster health.

If a starter is ruled out before tipoff, how will that affect the spread outcomes for this market?

A starter or key rotational player missing alters expected point production and defensive capacity; that change will be reflected in market movements as traders incorporate the new information, often widening or narrowing the expected margin ranges.

With relatively low total volume traded on this market, how should I interpret price stability and execution risk?

Low liquidity means prices can move sharply on a few trades and fills may be less predictable at posted prices; consider using smaller position sizes or limit orders and monitor news closely because late information can cause large adjustments.

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