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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Jacksonville State vs. Ohio

Name: Jacksonville State vs. Ohio
End: 2026-09-12T22:00:00.000Z

Total Volume

$120.68K

Events

Markets

Trade on Polymarket

Jacksonville State vs. Ohio

Vol

$120.68K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $120.68K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $120.68K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Ohio Total Touchdowns: Over/Under 3.5

No data available

Single-Platform Markets(1)

Market	Platform	Price
Ohio Total Touchdowns: Over/Under 3.5	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$120.68K

Volume

Markets

Platforms

About This Event

In the upcoming college football game between Jacksonville State and Ohio, scheduled for September 12 at 6:00PM ET: This market will resolve to "Jacksonville State" if Jacksonville State win the game. This market will resolve to "Ohio" if Ohio 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 game, this

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

Custom AI Analysis Prompt

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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:** Jacksonville State vs. Ohio
**Category:** Sports | **Status:** active
**Resolution Date:** Sep 12, 2026 (Ended)
**Time Pressure:** Expired

**Description:** In the upcoming college football game between Jacksonville State and Ohio, scheduled for September 12 at 6:00PM ET:
This market will resolve to "Jacksonville State" if Jacksonville State win the game.
This market will resolve to "Ohio" if Ohio 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 game, this 

**Resolution Criteria (Sample):**
"In the upcoming college football game between Jacksonville State and Ohio, scheduled for September 12 at 6:00 PM ET: This market will resolve to "Over" if Ohio record more than 3.5 total touchdowns in this game. This market will resolve to "Under" if Ohio record 3.5 or fewer total touchdowns in this"

## 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. Ohio Total Touchdowns: Over/Under 3.5
- **Polymarket** (End: Sep 12, 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