NFL WEEK 1

Model vs. Kalshi on all 16 openers

Week 1 markets live now

FANTASY DRAFT

Free draft desk inside Claude, ChatGPT or Cursor

8 tools · no account

NFL EDGES

Live game edges — model vs. Kalshi, ranked

Gridiron Edge · 5-min refresh

NFL 2026

Power rankings, futures & win totals — all 32 teams

COMBO EDGE

Correlation-aware Kalshi combos — free

SPORTSLive

Sports Prediction Markets

NFL, NBA, MLB, soccer, golf and more — live implied probabilities across Kalshi and Polymarket.

NFL Week 1 · Model vs Kalshi
Full board →
PMP · WK 1 TOP EDGE
Sun, Sep 13
AWAY BAL +1.2
vs IND -1.5
HOME IND +0.0
Model · IND 54% home win prob
Kalshi · IND 38¢ yes mid
Edge +16.9pp model − market
📍 Indianapolis, IN BUY IND
PMP · WK 1 TOP EDGE
Sun, Sep 13
AWAY ARI -3.7
vs LAC -5.5
HOME LAC -0.6
Model · LAC 66% home win prob
Kalshi · LAC 82¢ yes mid
Edge -16.5pp model − market
📍 Inglewood, CA BUY ARI
PMP · WK 1 TOP EDGE
Sun, Sep 13
AWAY GB +3.0
vs GB -3
HOME MIN -2.6
Model · MIN 40% home win prob
Kalshi · MIN 54¢ yes mid
Edge -13.6pp model − market
📍 Minneapolis, MN BUY GB

NFL Futures — Live Markets

NFL Hub →
🏈NFL · Futures·Kalshi

Super Bowl LXI Winner

Top 6 by market price

Los Angeles R win the Super Bowl

17¢

Buffalo win the Super Bowl

8¢

Seattle win the Super Bowl

8¢

Baltimore win the Super Bowl

7¢

Denver win the Super Bowl

6¢

Kansas City win the Super Bowl

6¢
See full NFL board →
🏈NFL · Futures·Kalshi

NFL MVP 2026

Top 5 candidates

Josh Allen win the MVP

11¢

Joe Burrow win the MVP

11¢+1¢

Lamar Jackson win the MVP

10¢

Justin Herbert win the MVP

9¢

Drake Maye win the MVP

8¢+1¢
See full NFL board →

Live Kalshi prices. Updated every 5 min market hours.

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Live on Kalshi — Sports

All Kalshi markets →

Updated every 5 min. Live NFL, NBA, MLB and more on the CFTC-regulated exchange.

PFL · Road to $1M · Osaka

MMA — next PFL card

Full board →
PFL x RIZIN Osaka — Thu, Sep 10 Main event: Razhabali Shaidulloev vs. AJ McKee — tale of the tape + market read →

🏟️ Sports Spotlight

Featured markets & analysis

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Sports Analysis

Kalshi vs Polymarket — Live Sports Price Gaps

Where the two exchanges price the same game differently right now — NBA, MLB, and more, with the reference vig shown alongside.

See the gaps →

Soccer Prediction Markets — The Hub

The permanent soccer anchor — the World Cup 2026 recap plus Champions League, Premier League, and MLS as their markets list.

Enter Hub →

NFL Prediction Markets — 2026 Season

Game-by-game Gridiron Edge analysis vs. live market prices — Week 1 model lines are live now, plus power rankings, futures and win totals for all 32 teams.

View Hub →

MMA Prediction Markets — PFL

The PFL World Tournament “Road to $1M,” every card's tale of the tape, and market edges as contracts list.

View Hub →

Frequently Asked Questions

What sports can you trade on prediction markets?

On CFTC-regulated exchanges like Kalshi you can take positions on NFL, NBA, MLB, soccer, golf, and MMA — game winners, season win totals, championship and MVP futures, and player milestones. Coverage grows each season as new event contracts list.

Kalshi vs Polymarket for sports — which is better?

Kalshi is the CFTC-regulated US exchange, so US traders route there and it carries the deepest sports contract slate. Polymarket prices many of the same games and has been open to US traders since December 2025 (identity verification required, availability varies by state). When both list the same game, our Kalshi vs Polymarket gap tool shows where the two exchanges disagree.

Are NFL prediction markets legal in the US?

Yes. NFL event contracts are CFTC-regulated derivatives that trade on federally regulated venues — Kalshi, plus DraftKings Predict, FanDuel Predicts, and Robinhood via their listing partners. As federally regulated contracts they are available in all 50 states, legally distinct from state-licensed sports betting.

How does the Gridiron Edge model find NFL market edges?

It projects every team and game, converts those projections to win probabilities, and compares them against live Kalshi prices. Where the model and the market disagree by enough, that gap is the edge. In a walk-forward backtest with no market line among the inputs, the model runs at 59.6% straight-up accuracy, rising to 71.5% on its highest-conviction games.