Giants vs. Rams

What exactly resolves?

The selected Polymarket token is Giants, not an outcome literally named YES. Both contracts use a half-unit tie settlement. The binary calculator examples below condition on a decisive result; the interactive model also lets you add a tie probability. Fair-price cancellation is an additional unmodeled state.

Scheduled kickoff: September 21, 2026, 8:15 p.m. ET. The Polymarket API end timestamp corresponds to kickoff, not a guaranteed settlement time. Kalshi’s close timestamp also is not a promise of immediately available proceeds.

Are the two platforms asking the same question?

The ordinary game-winner outcomes align, but the full contracts do not. Polymarket waits for a postponed game to finish and uses 50/50 for a canceled game or unmade-up tie. Kalshi can settle at a fair price if the game does not begin within 48 hours. Buying opposite sides therefore does not guarantee a fixed payout in every state.

Is there room at the quoted price?

Depth below is measured from the captured book within 2¢ of each side’s best ask. The 100- and 1,000-share examples consume successive ask levels. These are snapshots of visible entry liquidity, not reservations, total market capacity, or exit guarantees. Kalshi asks are derived as 1 minus the opposing bid with its available quantity.

Reported 24h activity: Polymarket parent event 3,195,442 USD; selected contract 946,050 USD. Kalshi parent event 7,849,921 contracts; selected contract 6,429,869 contracts. These units are not interchangeable.

Both sides: upside is not the same as likelihood

One hypothetical share at each captured ask, before fees. The price is not a measured win probability. A winning share pays one unit; a losing share pays zero. Football ties and exceptional settlement can pay other amounts.

Return if win is conditional net gain ÷ entry cost. It is not expected return, annualized return, or a recommendation. Fees lower the gain and increase the amount at risk.

Evidence and forecasting thesis

The market midpoint is the benchmark. There is no independently measured sports advantage in this study. A five-point optimistic scenario shows sensitivity, not an evidence-backed Giants forecast.

• Confirmed active rosters and injuries; do not treat rumors as lineup changes.
• Weather, venue, and any schedule change; separate their effect on win probability from settlement mechanics.
• Recent team-strength evidence adjusted for opponent quality. This study has not fitted or validated a sports-performance model.

What would invalidate the assessment: Any change in the game identity, roster assumptions, or postponement status requires a fresh assessment. Do not carry a pregame price model into live play unchanged.

Risk profile: Underdog YES can lose the entire entry cost; favorite NO has smaller upside but still substantial loss. Closely related game, spread, and total contracts are correlated. High activity does not remove upset or settlement risk.

Probability model and payoff sensitivity

The starting benchmark is the captured Polymarket bid–ask midpoint, 27.50%. No validated independent model justifies changing it. Lower and higher scenarios move this assumption by five percentage points; they are not confidence bounds or recommendations. Figures use 100 shares at the best ask plus an illustrative 1¢ per share total fee allowance. Larger entries require the depth simulation.

Formula: expected net = N × [p(win) + 0.5 × p(tie) − entry − fee]. The binary table assumes p(tie)=0. Break-even under that assumption is 29.00%. A better-looking result after increasing p proves only that the calculation responds to p.

Every tool’s contribution

Observed inputs, calculated outputs, actual provider responses, and tools that cannot support this study are identified separately. All sixteen learning tools are accounted for.

Actual provider outputs: inspect before trusting

Jev returned different for the rule comparison, with classification confidence 90.00% using jev-1.13.0. This is not the event’s probability. The request rubric and full distribution are in the evidence download.

Drift forecast window: 2026-09-21T23:41:26.472951Z to 2026-09-22T00:41:26.472951Z. Quality flag: low_data. Rejected for probability modeling. Near-zero variation in a projected band is not proof of low risk.

Not applicable: an equity or crypto ticker cannot establish an NFL game result. No EODHD proxy was forced into this assessment.

No financial price series was used for this case.

{
  "research": {
    "status": 200,
    "body": {
      "topic": "Giants vs. Rams",
      "keywords": [
        {
          "term": "Puka Nacua injury",
          "score": 95,
          "trend": "rising"
        },
        {
          "term": "Aaron Donald return",
          "score": 88,
          "trend": "rising"
        },
        {
          "term": "Giants offense",
          "score": 79,
          "trend": "stable"
        },
        {
          "term": "Rams defense",
          "score": 75,
          "trend": "stable"
        },
        {
          "term": "Jaxson Dart performance",
          "score": 70,
          "trend": "rising"
        },
        {
          "term": "Myles Garrett injury",
          "score": 65,
          "trend": "stable"
        },
        {
          "term": "Betting odds",
          "score": 60,
          "trend": "declining"
        },
        {
          "term": "Giants defense",
          "score": 55,
          "trend": "stable"
        }
      ],
      "coverageIndex": 90,
      "coverageTrend": "accelerating",
      "coverageChangePct": 45,
      "sentimentScore": 15,
      "sentimentTrend": "improving",
      "signalScore": 68,
      "signalDirection": "bullish",
      "interpretation": "The market is heavily focused on player injuries, particularly the questionable status of Rams wide receiver Puka Nacua and the confirmed return of Aaron Donald for the Rams. The Giants' Week 1 performance, especially quarterback Jaxson Dart's improved passing and the team's ability to sustain long drives, has generated positive sentiment. Despite the Rams' poor Week 1 showing, betting markets still favor them, indicating an expectation of a rebound performance.",
      "leadingIndicators": [
        "Puka Nacua's game-time decision status",
        "Aaron Donald's impact on Rams' defensive line",
        "Giants' offensive line performance against Rams' pass rush"
      ],
      "watchNext": [
        "Official inactive reports before kickoff",
        "Early game script and offensive efficiency",
        "Rams' defensive adjustments against the run"
      ],
      "confidence": "High",
      "dataWindow": "7 days"
    }
  },
  "analyzer": {
    "status": 200,
    "body": {
      "summary": "The Los Angeles Rams are favored to win against the New York Giants in their upcoming Monday Night Football game, despite the Rams' Week 1 loss and the Giants' upset victory. The market's YES price for the Giants is 27.5%, aligning with the trader's estimated probability, indicating no immediate edge.",
      "reasoning": [
        "The Rams are heavily favored by sportsbooks, with moneyline odds suggesting a 74-76% chance of winning, while the Giants are significant underdogs.",
        "Key Rams wide receiver Puka Nacua is questionable with a hip injury and is a game-time decision, which could significantly impact the Rams' offense.",
        "The Giants are dealing with defensive injuries, with cornerback Paulson Adebo out and Deonte Banks questionable, potentially weakening their secondary against the Rams' passing game."
      ],
      "confidence": "Medium",
      "usage": {
        "feature": "ai_analyzer",
        "used": 1,
        "limit": 1,
        "remaining": 0,
        "resetAt": "2026-09-22T00:00:00.000Z",
        "isPremium": false,
        "enforced": true
      },
      "isPremium": false,
      "requestId": "1eebda25-1ac5-4f2f-b1e2-ada8e26df5a9"
    }
  }
}

Costs, participation mechanics, and limits

• Entering: choosing a side, size, and price is different from receiving a fill. A limit can remain unfilled; crossing available quotes can consume multiple levels. These pages place no orders.
• Exiting: today’s entry depth says nothing certain about future bids. Early exit introduces a future-price assumption and may add fees. A marked gain is not a realized payout.
• Fees: all five captured Polymarket markets report fees enabled; the legacy fee endpoint returns base_fee 1000. This study does not interpret that as a flat 10% charge. Use the current market-specific schedule and rounding. Kalshi’s series fee type is quadratic_with_maker_fees; overrides and execution type can matter.
• Time and settlement: distinguish the event time, order close, resolution, dispute period, and withdrawal availability. Holding time and currency/funding costs are excluded from the scenario.
• Eligibility and access: platform and regional rules apply. Educational access to these pages does not establish eligibility to transact on either venue.
• Concentration: related topics may move together. The five studies are a learning set, not a diversified portfolio or an allocation proposal.

Polymarket fee documentation · Kalshi fee schedule