Market snapshot: Oct 14, 2026, 9:00 PM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

MODUS Super Series: Scott Mitchell vs Brian Raman

Name: MODUS Super Series: Scott Mitchell vs Brian Raman
End: 2026-10-22T23:50:00.000Z

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$0.00

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MODUS Super Series: Scott Mitchell vs Brian Raman

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Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Price gaps

of 0 cross-platform

Saved prices are comparisons, not executable quotes. A price difference does not establish arbitrage. Check both contracts, live order prices, fees and available size.

Price ChartMatched Markets Price Graph

1 market tracked

Historical observations can differ from current quotes. Kalshi points are hourly trade averages.

Saved prices are comparisons, not executable quotes. A price difference does not establish arbitrage. Check both contracts, live order prices, fees and available size.

MODUS Super Series: Scott Mitchell vs Brian Raman

No data available

Single-Platform Markets(1)

Market	Platform	Price
MODUS Super Series: Scott Mitchell vs Brian Raman	Kalshi	—

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$0.00

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About This Event

This market refers to the darts match between Scott Mitchell and Brian Raman in the MODUS Super Series, originally scheduled for October 15 at 7:50PM ET. This market will resolve to 'Scott Mitchell' if Scott Mitchell wins against Brian Raman. This market will resolve to 'Brian Raman' if Brian Raman wins against Scott Mitchell. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to

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:** Wednesday, October 14, 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:** MODUS Super Series: Scott Mitchell vs Brian Raman
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 22, 2026 (9 days left)
**Time Pressure:** Medium

**Description:** This market refers to the darts match between Scott Mitchell and Brian Raman in the MODUS Super Series, originally scheduled for October 15 at 7:50PM ET.

This market will resolve to 'Scott Mitchell' if Scott Mitchell wins against Brian Raman. This market will resolve to 'Brian Raman' if Brian Raman wins against Scott Mitchell.

If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to

**Resolution Criteria (Sample):**
"This market refers to the darts match between Scott Mitchell and Brian Raman in the MODUS Super Series, originally scheduled for October 15 at 7:50PM ET.

This market will resolve to 'Scott Mitchell' if Scott Mitchell wins against Brian Raman. This market will resolve to 'Brian Raman' if Brian Raman"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $17
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. MODUS Super Series: Scott Mitchell vs Brian Raman
- **Polymarket** (End: Oct 22, 2026): Vol $0
  DATA: [Scott Mitchell: 50.0% (0.0%)] | [Brian Raman: 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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AI-written background. References identify the evidence used; Wikipedia links under Learn More are additional reading. Prices and provider rules are dated snapshots. This is not financial advice.

POLYMARKETSports