Ontario Reign at Texas Stars | PredictPedia

Events

GroupKALSHI

Event GroupKALSHISports

Ontario Reign at Texas Stars

Total Volume

$0.00

Events

Markets

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Ontario Reign at Texas Stars

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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

2 markets tracked

Ontario Reign at Texas Stars Winner? (Ontario Reign)

No data available

Single-Platform Markets(2)

Market	Platform	Price
Ontario Reign at Texas Stars Winner? (Ontario Reign)	Kalshi	52%
Ontario Reign at Texas Stars Winner? (Texas Stars)	Kalshi	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

52%

Top Probability

$0.00

Volume

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About This Event

ONT at TEX (Jan 17) If X wins the Ontario Reign at Texas Stars professional AHL hockey game scheduled for Jan 17, 2026, then the market resolves to Yes. The following market refers to the team who wins Ontario Reign at Texas Stars professional AHL hockey game 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 weeks

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:** Friday, January 16, 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:** Ontario Reign at Texas Stars
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** ONT at TEX (Jan 17)

If X wins the Ontario Reign at Texas Stars professional AHL hockey game scheduled for Jan 17, 2026, then the market resolves to Yes. The following market refers to the team who wins Ontario Reign at Texas Stars professional AHL hockey game 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 weeks

**Resolution Criteria (Sample):**
"If Texas Stars wins the Ontario Reign at Texas Stars professional AHL hockey game scheduled for Jan 17, 2026, then the market resolves to Yes. Secondary rules: The following market refers to the team who wins Ontario Reign at Texas Stars professional AHL hockey game scheduled for Jan 17, 2026. If th"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $313.3K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Ontario Reign at Texas Stars Winner? (Texas Stars)
- **Kalshi** (End: Feb 1, 2026): Vol $0
  DATA: [Yes: 49.5% (0.0%)] | [No: 50.5% (0.0%)]

### 2. Ontario Reign at Texas Stars Winner? (Ontario Reign)
- **Kalshi** (End: Feb 1, 2026): Vol $0
  DATA: [Yes: 52.0% (0.0%)] | [No: 48.0% (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

51¢

Kalshi

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