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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Old Dominion vs. Appalachian State

Name: Old Dominion vs. Appalachian State
End: 2026-10-10T17:00:00.000Z

Total Volume

$148.21K

Events

Markets

Trade on Polymarket

Old Dominion vs. Appalachian State

Vol

$148.21K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $148.21K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $148.21K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Old Dominion vs. Appalachian State: Total 4th Down Conversions Over/Under 0.5

No data available

Single-Platform Markets(1)

Market	Platform	Price
Old Dominion vs. Appalachian State: Total 4th Down Conversions Over/Under 0.5	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$148.21K

Volume

Markets

Platforms

About This Event

In the upcoming college football game between Old Dominion and Appalachian State, scheduled for October 10 at 1:00PM ET: This market will resolve to "Old Dominion" if Old Dominion win the game. This market will resolve to "Appalachian State" if Appalachian State 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

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:** Old Dominion vs. Appalachian State
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 10, 2026 (Ended)
**Time Pressure:** Expired

**Description:** In the upcoming college football game between Old Dominion and Appalachian State, scheduled for October 10 at 1:00PM ET:
This market will resolve to "Old Dominion" if Old Dominion win the game.
This market will resolve to "Appalachian State" if Appalachian State 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 

**Resolution Criteria (Sample):**
"In the upcoming college football game between Old Dominion and Appalachian State, scheduled for October 10 at 1:00 PM ET: This market will resolve to "Over" if the two teams combine for 1 or more successful fourth down conversions in this game. This market will resolve to "Under" if the two teams co"

## 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. Old Dominion vs. Appalachian State: Total 4th Down Conversions Over/Under 0.5
- **Polymarket** (End: Oct 10, 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