Market snapshot: Oct 11, 2026, 9:47 PM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Central Michigan vs. Miami (FL)

Name: Central Michigan vs. Miami (FL)
End: 2026-09-26T22:30:00.000Z

Total Volume

$121.41K

Events

Markets

Trade on Polymarket

Central Michigan vs. Miami (FL)

Vol

$121.41K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $121.41K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $121.41K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Central Michigan vs. Miami (FL): Total Defensive/Special Teams Touchdowns Over/Under 0.5

No data available

Single-Platform Markets(1)

Market	Platform	Price
Central Michigan vs. Miami (FL): Total Defensive/Special Teams Touchdowns Over/Under 0.5	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$121.41K

Volume

Markets

Platforms

About This Event

In the upcoming college football game between Central Michigan and Miami (FL), scheduled for September 26 at 6:30PM ET: This market will resolve to "Central Michigan" if Central Michigan win the game. This market will resolve to "Miami (FL)" if Miami (FL) win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up

AI-generated analysis based on market data. Not financial advice.

Custom AI Analysis Prompt

Tap to expand

Open in:ChatGPT Claude Gemini Grok DeepSeek

**Role:** Expert Prediction Market Analyst & Trader
**Objective:** Analyze the provided betting market data to deliver actionable insights, identify mispricings, and perform scenario analysis.
**Current Date:** Sunday, October 11, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Central Michigan vs. Miami (FL)
**Category:** Sports | **Status:** active
**Resolution Date:** Sep 26, 2026 (Ended)
**Time Pressure:** Expired

**Description:** In the upcoming college football game between Central Michigan and Miami (FL), scheduled for September 26 at 6:30PM ET:
This market will resolve to "Central Michigan" if Central Michigan win the game.
This market will resolve to "Miami (FL)" if Miami (FL) win the game.
Overtime is included if played.
If the game ends in a tie, this market will resolve 50-50.
If the game is postponed, this market will remain open until the game has been completed.
If the game is canceled entirely, with no make-up

**Resolution Criteria (Sample):**
"In the upcoming college football game between Central Michigan and Miami (FL), scheduled for September 26 at 6:30 PM ET: This market will resolve to "Over" if the two teams combine for 1 or more defensive or special teams touchdowns in this game. This market will resolve to "Under" if the two teams "

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Central Michigan vs. Miami (FL): Total Defensive/Special Teams Touchdowns Over/Under 0.5
- **Polymarket** (End: Sep 26, 2026): Vol $0
  DATA: [Over: 50.0% (0.0%)] | [Under: 50.0% (0.0%)]

---

## Analysis Instructions
Please provide a structured analysis using the following template:

### 1. Executive Summary
*   **Verdict:** [Most Likely Outcome]
*   **Confidence:** [0-100]%
*   **Timeframe:** [Immediate / Short-term / Long-term]
*   **Actionable Trade:** [Buy YES / Buy NO / Stay Away] (Include entry price target if applicable)
*   **Rationale:** 2-sentence summary of the core thesis.

### 2. Scenario Analysis
*   **Bull Case (Why YES goes up):** List specific catalysts or data points.
*   **Bear Case (Why YES goes down):** List specifics.
*   **Invalidation Point:** What happens to prove your thesis wrong?

### 3. Market Mechanics & Risks
*   **Liquidity/Volume Analysis:** Is the market efficient? Is it easy to exit?
*   **Cross-Platform Arbitrage:** (If applicable) Is the spread tradeable after fees?
*   **Time Decay:** How does time passing affect this position?

### 4. Signal Scores (0-100)
*   **Momentum:** [Score] (Price trend & velocity)
*   **Conviction:** [Score] (Volume backing the move)
*   **Information Edge:** [Score] (Likelihood of non-public info affecting price)
*   **Risk/Reward:** [Score] (Potential upside vs downside)

**Constraints:**
- Be direct and objective.
- Use bullet points for readability.
- If data is conflicting or insufficient, explicitly state "Low Confidence".

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Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

POLYMARKETSports