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Sports OPEN

Maryland at Oregon: Spread

📊 $3K traded 🏦 Source: Kalshi
Total Volume
$3K
Open Interest
2,849
Active Markets
10
Markets
10

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 (10)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Oregon wins by over 3.5 Points 52%
49¢ 52¢ $3K Trade →
Maryland wins by over 3.5 Points 26%
27¢ 31¢ $106 Trade →
Oregon wins by over 6.5 Points 35%
35¢ 41¢ $89 Trade →
Maryland wins by over 6.5 Points 15%
16¢ 23¢ $2 Trade →
Maryland wins by over 9.5 Points 9%
11¢ 17¢ $2 Trade →
Oregon wins by over 9.5 Points 0%
25¢ 31¢ $0 Trade →
Maryland wins by over 12.5 Points 0%
11¢ $0 Trade →
Oregon wins by over 15.5 Points 0%
17¢ $0 Trade →
Oregon wins by over 18.5 Points 0%
12¢ $0 Trade →
Oregon wins by over 12.5 Points 0%
16¢ 25¢ $0 Trade →

About This Market

This market lets traders buy and sell outcomes tied to which side covers the point spread in the Maryland at Oregon game; it matters because spread markets aggregate betting-side expectations about the likely margin of victory. The market's price movements reflect how new information (injuries, weather, lineups) is being interpreted by participants.

Maryland and Oregon are FBS programs from different conferences with different roster construction and schematics; inter-conference matchups like this often hinge on how each team's style of play matches up rather than long head-to-head history. Oregon is commonly associated with fast tempo and high scoring, while Maryland tends to emphasize balance and physicality; current-season form, quarterback play, and recent injuries matter more than distant historical results.

Prices in a spread market summarize the market’s expectation about which side will cover and by roughly how many points; they are best used as a real-time signal that updates as news arrives rather than a definitive prediction. Watch price movement around official injury reports, starting-lineup announcements, and the scheduled close time for the market.

Key Factors

Frequently Asked Questions

What specific spread outcomes are being traded in the "Maryland at Oregon: Spread" market and how do they map to the final-game margin?

This market lists multiple mutually exclusive spread outcomes that correspond to ranges of final margins (e.g., one outcome for a large Oregon margin, others for smaller margins or a Maryland cover). Each outcome label on the event page maps to a specific interval of the final score margin; consult the KALSHI event listing for the exact labels and their corresponding margins.

When will this market close relative to the game kickoff?

The event page shows the market close as TBD; on many exchanges spread markets close at or shortly before kickoff but exact timing is set by the exchange. Check the KALSHI listing for the final scheduled close time and any announced changes as game day approaches.

How should I interpret late injury reports or last‑minute lineup changes for Maryland or Oregon?

Late injuries, especially to the starting quarterback, key offensive linemen, or top defenders, can substantially change expected margins and often move spread prices sharply. Follow official team reports, coach announcements, and trusted local beat reporters; expect the market to react quickly to credible late news.

Which historical or season-long trends between Maryland and Oregon are most helpful for assessing spread outcomes?

Because inter-conference meetings can be infrequent, recent-season indicators are more informative: offensive and defensive efficiency, turnover margin, third‑down conversion rates, red‑zone performance, and how each team has performed in road or neutral-site games. Compare Oregon’s tempo and scoring profile to Maryland’s ability to defend pace and force turnovers.

Does the current trading volume ($1,198) affect how I should read prices in this market?

Yes. Modest total volume means liquidity is limited, so individual trades or news items can produce larger price swings than in a heavily traded market. Treat prices as useful signals but be cautious: low-volume markets can be more volatile and less robust to single large orders or late information.

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