Green Bay vs Minnesota Week 1 Prediction Markets
The Green Bay Packers are favored to beat Minnesota Vikings in Week 1 at prediction markets with -111 odds or 52.5% implied probability when the NFC North rivals meet on September 13. The Minnesota Vikings trade at +111 (47.5%) in the same contract. The matchup has generated $397 in trading volume, all of it on Kalshi. Polymarket odds will be added once released. Our odds tracker aggregates live pricing using volume-weighted average pricing (VWAP), with hourly updates.
Current Vikings vs. Packers Odds from Kalshi
Current probabilities across platforms with liquidity indicators
GBPGreen Bay Packers
Vol $370
Spread —
Agg
52.5%↑ +12.0%
K
52.5%
MVMinnesota Vikings
Vol $26
Spread —
Agg
47.5%↓ -4.5%
K
47.5%
| Outcome | Aggregated | Spread | Volume | Kalshi |
|---|---|---|---|---|
GBP Green Bay Packers | 52.5% ↑ +12.0% | — | $370 |
Kalshi
52.5%
|
MV Minnesota Vikings | 47.5% ↓ -4.5% | — | $26 |
Kalshi
47.5%
|
Probability Over Time
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Chart settings
Arbitrage Scanner
Current cross-venue opportunities with fee calculations
Pairs (Venue-to-Venue)
No cross-venue pairs available for this event.
Outcome Diff
| Outcome A | Outcome B | Venue | A Odds | B Odds | Diff | Strategy | Trade Now |
|---|---|---|---|---|---|---|---|
GBP Green Bay Packers |
MV Minnesota Vikings |
Kalshi | A 52.5% | B 47.5% | +5.00% | Buy spread |
After-fee spreads apply the configured taker-fee model per side. Depth/slippage is not modeled in this scanner.
Methodology & Data Mapping
How we aggregate, normalize, and map cross-platform data
Default: Volume-Weighted Average Price (VWAP)
Weights each mapped market by its reported 24H USD volume at snapshot time. If volume is unavailable, we fall back to a simple average for that snapshot.
Use the VWAP/Simple toggle above the chart to switch aggregation views.
Kalshi: Official API (best bid/ask + last + 24H volume/liquidity when available).
Event data is updated hourly. Older history is downsampled.
Each event links one or more markets per provider. We normalize labels, map provider outcomes into a shared outcome list, and merge mapped markets where appropriate.
Cross-venue spread: Max–min difference across available venue probabilities for the same outcome.
Liquidity: Relative per-venue indicators based on provider liquidity fields (no depth/slippage modeling).
Arbitrage: Computed from best bid/ask when available (otherwise mid); after-fee spread applies the configured fee model only.
