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

GroupKALSHI

Event GroupKALSHISports

Carolina vs Philadelphia: Saves

Total Volume

$2.69K

Events

Markets

Trade on Kalshi

Carolina vs Philadelphia: Saves

Vol

$2.69K

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $2.69K

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $2.69K

100%

Kalshi leads

Price ChartMatched Markets Price Graph

2 markets tracked

Pyotr Kochetkov: 20+ saves

No data available

Single-Platform Markets(2)

Market	Platform	Price
Pyotr Kochetkov: 20+ saves	Kalshi	50%
Joseph Woll: 29+ saves	Kalshi	46%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$2.69K

Volume

Markets

Platforms

About This Event

CAR vs PHI (Oct 11) If X records Y saves in the Carolina vs Philadelphia NHL game originally scheduled for Oct 11, 2026, then the market resolves to Yes. The following market refers to a player in the Carolina vs Philadelphia NHL game originally scheduled for Oct 11, 2026. If a player is active but never enters the game, the market settles to the last fair market price before game start. Once a player enters the game, the market settles based on the player's saves recorded. This market will clo

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%).

---

## 1. Event Snapshot
**Event:** Carolina vs Philadelphia: Saves
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** CAR vs PHI (Oct 11)

If X records Y saves in the Carolina vs Philadelphia NHL game originally scheduled for Oct 11, 2026, then the market resolves to Yes. The following market refers to a player in the Carolina vs Philadelphia NHL game originally scheduled for Oct 11, 2026. If a player is active but never enters the game, the market settles to the last fair market price before game start. Once a player enters the game, the market settles based on the player's saves recorded. This market will clo

**Resolution Criteria (Sample):**
"If Joseph Woll records 29+ saves in the Carolina vs Philadelphia NHL game originally scheduled for Oct 11, 2026, then the market resolves to Yes. Secondary rules: The following market refers to a player in the Carolina vs Philadelphia NHL game originally scheduled for Oct 11, 2026. If a player is ac"

## 2. Market liquidity & Volume
* **Total Volume:** $2.7K
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Joseph Woll: 29+ saves
- **Kalshi** (End: Oct 13, 2026): Vol $2.0K
  DATA: [Yes: 45.5% (0.0%)] | [No: 54.5% (0.0%)]

### 2. Pyotr Kochetkov: 20+ saves
- **Kalshi** (End: Oct 13, 2026): Vol $688
  DATA: [Yes: 49.5% (0.0%)] | [No: 50.5% (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.

KALSHISports

Carolina vs Philadelphia: Saves

Volume$2.69K

Markets2

2 of 2

Sort:

KALSHI

Pyotr Kochetkov: 20+ saves

KALSHI

KKalshi

Yes 49.5¢No 50.5¢

KALSHIOther

CLOSING SOON

Pyotr Kochetkov: 20+ saves

If Pyotr Kochetkov records 20+ saves in the Carolina vs Philadelphia NHL game originally scheduled for Oct 11, 2026, then the market resolves to Yes. Secondary rules: The following market refers to a player in the Carolina vs Philadelphia NHL game originally scheduled for Oct 11, 2026. If a player i

KALSHI

Joseph Woll: 29+ saves

KALSHI

KKalshi

Yes 45.5¢No 54.5¢

KALSHIOther

CLOSING SOON

Joseph Woll: 29+ saves

If Joseph Woll records 29+ saves in the Carolina vs Philadelphia NHL game originally scheduled for Oct 11, 2026, then the market resolves to Yes. Secondary rules: The following market refers to a player in the Carolina vs Philadelphia NHL game originally scheduled for Oct 11, 2026. If a player is ac

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Average Yes Price

48¢

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<iframe src="https://predictpedia.com/embed/aOZecI" width="400" height="160" frameborder="0" style="border-radius: 8px; max-width: 100%;" title="Carolina vs Philadelphia: Saves"></iframe>

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Carolina vs Philadelphia: Saves

Carolina vs Philadelphia: Saves

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Pyotr Kochetkov: 20+ saves

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Educational Context

Events (1)

Carolina vs Philadelphia: Saves

Markets (2)

Pyotr Kochetkov: 20+ saves

Pyotr Kochetkov: 20+ saves

Joseph Woll: 29+ saves

Joseph Woll: 29+ saves

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Pyotr Kochetkov: 20+ saves

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Carolina vs Philadelphia: Saves

Pyotr Kochetkov: 20+ saves

Pyotr Kochetkov: 20+ saves

Joseph Woll: 29+ saves

Joseph Woll: 29+ saves

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