Arizona at TCU

Total Volume

$1.77K

Events

Markets

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Arizona at TCU

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Polymarket

markets · $0.00

Kalshi

markets · $1.77K

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $1.77K

100%

Kalshi leads

Price ChartMatched Markets Price Graph

2 markets tracked

Arizona at TCU Winner? (TCU)

No data available

Single-Platform Markets(2)

Market	Platform	Price
Arizona at TCU Winner? (TCU)	Kalshi	97%
Arizona at TCU Winner? (Arizona)	Kalshi	3%

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:** Friday, January 16, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Arizona at TCU
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** ARIZ at TCU (Jan 17)

If X wins the Arizona at TCU women's college basketball game originally scheduled for Jan 17, 2026, then the market resolves to Yes. The following market refers to the team who wins the Arizona at TCU women's college basketball game originally scheduled for Jan 17, 2026. If this game is postponed or delayed, the market will remain open and close after the rescheduled game has finished, within two weeks. If the cancelled game is not played or is rescheduled further than two 

**Resolution Criteria (Sample):**
"If TCU wins the Arizona at TCU women's college basketball game originally scheduled for Jan 17, 2026, then the market resolves to Yes. Secondary rules: The following market refers to the team who wins the Arizona at TCU women's college basketball game originally scheduled for Jan 17, 2026. If this g"

## 2. Market liquidity & Volume
* **Total Volume:** $1.8K
* **Total Liquidity:** $228.97M
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Arizona at TCU Winner? (TCU)
- **Kalshi** (End: Jan 31, 2026): Vol $187
  DATA: [Yes: 97.0% (0.0%)] | [No: 3.0% (0.0%)]

### 2. Arizona at TCU Winner? (Arizona)
- **Kalshi** (End: Jan 31, 2026): Vol $1.6K
  DATA: [Yes: 3.0% (0.0%)] | [No: 97.0% (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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Market Insights

Average Yes Price

50¢

Kalshi

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<iframe src="https://predictpedia.com/embed/fWMwR5" width="400" height="160" frameborder="0" style="border-radius: 8px; max-width: 100%;" title="Arizona at TCU"></iframe>

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Arizona at TCU

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