Market snapshot: Oct 12, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Wisconsin vs. Notre Dame

Name: Wisconsin vs. Notre Dame
End: 2026-09-06T23:30:00.000Z

Total Volume

$723.68K

Events

Markets

Trade on Polymarket

Wisconsin vs. Notre Dame

Vol

$723.68K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $723.68K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $723.68K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Notre Dame Total Touchdowns: Over/Under 4.5

No data available

Single-Platform Markets(1)

Market	Platform	Price
Notre Dame Total Touchdowns: Over/Under 4.5	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$723.68K

Volume

Markets

Platforms

About This Event

In the upcoming college football game, scheduled for September 6 at 7:30PM ET: If Wisconsin wins, the market will resolve to "Wisconsin". If Notre Dame wins, the market will resolve to "Notre Dame". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely or ends in a tie, with no make-up game, this market will resolve 50-50.

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:** Monday, October 12, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Wisconsin vs. Notre Dame
**Category:** Sports | **Status:** active
**Resolution Date:** Sep 6, 2026 (Ended)
**Time Pressure:** Expired

**Description:** In the upcoming college football game, scheduled for September 6 at 7:30PM ET:
If Wisconsin wins, the market will resolve to "Wisconsin".
If Notre Dame wins, the market will resolve to "Notre Dame".
If the game is postponed, this market will remain open until the game has been completed.
If the game is canceled entirely or ends in a tie, with no make-up game, this market will resolve 50-50.

**Resolution Criteria (Sample):**
"In the upcoming college football game between Wisconsin and Notre Dame, scheduled for September 6 at 7:30 PM ET: This market will resolve to "Over" if Notre Dame record more than 4.5 total touchdowns in this game. This market will resolve to "Under" if Notre Dame record 4.5 or fewer total touchdowns"

## 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. Notre Dame Total Touchdowns: Over/Under 4.5
- **Polymarket** (End: Sep 6, 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