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

GroupKALSHI

Event GroupKALSHISports

Ohio St. vs Indiana: Overtime

Total Volume

$0.00

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Trade on Kalshi

Ohio St. vs Indiana: Overtime

Vol

$0.00

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Price ChartMatched Markets Price Graph

1 market tracked

Game goes to overtime

No data available

Single-Platform Markets(1)

Market	Platform	Price
Game goes to overtime	Kalshi	12%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

12%

Top Probability

$0.00

Volume

Markets

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About This Event

OSU vs IND (Oct 17) If at least 1 overtime period is played in the Ohio St. vs Indiana college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. An overtime period is any period of play after regulation ends. From the 3rd overtime onward, the alternating two-point conversion series counts as an overtime period. An overtime period counts as played once it commences, via a legal snap (in the first two overtimes) or a first two-point attempt (in the third overti

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

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## 1. Event Snapshot
**Event:** Ohio St. vs Indiana: Overtime
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** OSU vs IND (Oct 17)

If at least 1 overtime period is played in the Ohio St. vs Indiana college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. An overtime period is any period of play after regulation ends. From the 3rd overtime onward, the alternating two-point conversion series counts as an overtime period. An overtime period counts as played once it commences, via a legal snap (in the first two overtimes) or a first two-point attempt (in the third overti

**Resolution Criteria (Sample):**
"If at least 1 overtime period is played in the Ohio St. vs Indiana college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. Secondary rules: An overtime period is any period of play after regulation ends. From the 3rd overtime onward, the alternating two-point 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. Game goes to overtime
- **Kalshi** (End: Oct 19, 2026): Vol $0
  DATA: [Yes: 11.5% (0.0%)] | [No: 88.5% (0.0%)]

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## 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.

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