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Event GroupPOLYMARKETSports

NCAA Football 2026 PAC-12 Conference: Winner

Name: NCAA Football 2026 PAC-12 Conference: Winner
End: 2026-07-31T22:51:50.132Z

Total Volume

$311.99

Events

Markets

Trade on Polymarket

NCAA Football 2026 PAC-12 Conference: Winner

Vol

$311.99

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $311.99

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $311.99

100%

Polymarket leads

Price ChartMatched Markets Price Graph

8 markets tracked

Will San Diego State Aztecs Win the 2026 Pac-12 Championship?

No data available

Single-Platform Markets(8)

Market	Platform	Price
Will San Diego State Aztecs Win the 2026 Pac-12 Championship?	Poly	44%
Will Texas State Bobcats Win the 2026 Pac-12 Championship?	Poly	42%
Will Oregon State Beavers Win the 2026 Pac-12 Championship?	Poly	37%
Will Utah State Aggies Win the 2026 Pac-12 Championship?	Poly	37%
Will Colorado State Rams Win the 2026 Pac-12 Championship?	Poly	36%
Will Washington State Cougars Win the 2026 Pac-12 Championship?	Poly	36%
Will Boise State Broncos Win the 2026 Pac-12 Championship?	Poly	23%
Will Fresno State Bulldogs Win the 2026 Pac-12 Championship?	Poly	12%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

44%

Top Probability

$311.99

Volume

Markets

Platforms

About This Event

This market will resolve according to the winner of the 2026 Pac-12 Football Championship Game, determining the champion of the Pac-12 Conference for the 2026 college football season, currently scheduled for December 4, 2026. If this championship is postponed after December 18, 2026, 11:59 PM ET, canceled, or a champion has not been declared within this timeframe, this market will resolve to "Other." If multiple teams are declared co-champions, this market will resolve in favor of the team who

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:** Saturday, September 5, 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:** NCAA Football 2026 PAC-12 Conference: Winner
**Category:** Sports | **Status:** active
**Resolution Date:** Jul 31, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market will resolve according to the winner of the 2026 Pac-12 Football Championship Game, determining the champion of the Pac-12 Conference for the 2026 college football season, currently scheduled for December 4, 2026.

If this championship is postponed after December 18, 2026, 11:59 PM ET, canceled, or a champion has not been declared within this timeframe, this market will resolve to "Other."

If multiple teams are declared co-champions, this market will resolve in favor of the team who

**Resolution Criteria (Sample):**
"This market will resolve according to the winner of the 2026 Pac-12 Football Championship Game, determining the champion of the Pac-12 Conference for the 2026 college football season, currently scheduled for December 4, 2026.

If this championship is postponed after December 18, 2026, 11:59 PM ET, c"

## 2. Market liquidity & Volume
* **Total Volume:** $312
* **Total Liquidity:** $8.2K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.04)

## 3. Market Data (Prices & Odds)
### 1. Will Boise State Broncos Win the 2026 Pac-12 Championship?
- **Polymarket** (End: Sep 5, 2026): Vol $161
  DATA: [Yes: 22.5% (0.0%)] | [No: 77.5% (0.0%)]

### 2. Will Colorado State Rams Win the 2026 Pac-12 Championship?
- **Polymarket** (End: Sep 5, 2026): Vol $0
  DATA: [Yes: 36.4% (0.0%)] | [No: 63.6% (0.0%)]

### 3. Will Fresno State Bulldogs Win the 2026 Pac-12 Championship?
- **Polymarket** (End: Sep 5, 2026): Vol $51
  DATA: [Yes: 12.0% (0.0%)] | [No: 88.0% (0.0%)]

### 4. Will Oregon State Beavers Win the 2026 Pac-12 Championship?
- **Polymarket** (End: Sep 5, 2026): Vol $0
  DATA: [Yes: 36.9% (0.0%)] | [No: 63.1% (0.0%)]

### 5. Will San Diego State Aztecs Win the 2026 Pac-12 Championship?
- **Polymarket** (End: Sep 5, 2026): Vol $101
  DATA: [Yes: 44.0% (0.0%)] | [No: 56.0% (0.0%)]

### 6. Will Texas State Bobcats Win the 2026 Pac-12 Championship?
- **Polymarket** (End: Sep 5, 2026): Vol $0
  DATA: [Yes: 42.0% (0.0%)] | [No: 58.0% (0.0%)]

### 7. Will Utah State Aggies Win the 2026 Pac-12 Championship?
- **Polymarket** (End: Sep 5, 2026): Vol $0
  DATA: [Yes: 36.9% (0.0%)] | [No: 63.1% (0.0%)]

### 8. Will Washington State Cougars Win the 2026 Pac-12 Championship?
- **Polymarket** (End: Sep 5, 2026): Vol $0
  DATA: [Yes: 36.0% (0.0%)] | [No: 64.0% (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.

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