New York Giants vs Los Angeles Rams
Updated · market price
Monday, September 21, 2026 · SoFi Stadium, Inglewood, CA
Quick Answer
As of September 15, 2026, Kalshi implies 75% for the Rams in New York Giants vs Los Angeles Rams, NFL Week 2 2026, while our market-anchored fair value has the Rams by 7.5 (73% to win) — a 1.3pp agreement. Inside our floor for a position — no position. The model's own line is Rams by 7.4 against a market line of Rams by 7.0 — a 0.4-point lean toward the Rams, graded separately from any position.
Kickoff board
Week 2 · 2026-09-15No actionable edge on this game — 1 market priced and every one inside our tolerance.
Edge is model probability minus the market's implied probability, in percentage points. One published number per market: where our sources disagreed we publish the most conservative defensible figure, and where they disagreed by more than 15 points the row is a conflict and carries no stake. ¼ Kelly is the share of a bankroll quarter-Kelly would put on the row at the published price — click it to size against your own bankroll on our Kelly calculator, or call kelly_size from our MCP server inside your own agent.
Our number and the market agree on this one — the gaps are elsewhere on the board. Get the full Week 2 card free, every game priced against our model.
No spam. Unsubscribe anytime.
Giants
27%
model win prob
Rams
73%
model win prob
Market-anchored fair value: NYG 27% (+1.8pp) Combo Edge Builder →
Run this matchup yourself → Full PWR board for all 32 → Player prop gaps for this game →
27%
Madden 27
73%
Madden 27
Go Pro · 26% off your first year
Every NFL line that moves before kickoff — before the market catches up
Pro is the layer around the free game edges: model win probability against the live Kalshi price on every market, edge alerts in Discord the moment a gap opens, and the full win-total, championship and projection boards.
$111 for the first year, then $150/yr. Code applies automatically. Ends Dec 31. Monthly is $14.99/mo.
Every signal graded in public, losers left on the board. See the record →
The Ladder — Giants at Rams
All ladders →Our margin distribution against every Kalshi spread strike listed for this game. A single line says we lean one way; the ladder says whether that is about the middle of the distribution or its tail.
We think the median sits somewhere else than the market does.
| Rung | Market | Model | Gap | |||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10 more rungsRams +14.5 → Rams +2.5 · outside our published band, market only
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Rams +1.5 | 🔒 | outside range | — | NO → | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Rams −0.5 | — | 🔒 | — | not listed | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Rams −1.5 | 🔒 | 🔒 | 🔒 | YES → | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Rams −2.5 | 🔒 | 🔒 | 🔒 | YES → | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Rams −3.5 | 🔒 | 🔒 | 🔒 | YES → | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Rams −4.5 | 🔒 | 🔒 | 🔒 | YES → | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Rams −5.5 | 🔒 | — | — | YES → | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Rams −6.5 | 🔒 | 🔒 | 🔒 | YES → | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Rams −7.5 | 🔒 | 🔒 | 🔒 | YES → | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Rams −9.5 | 🔒 | 🔒 | 🔒 | YES → | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Rams −10.5 | 🔒 | 🔒 | 🔒 | YES → | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Rams −13.5 | 🔒 | outside range | — | YES → | ||||||||||||||||||||||||||||||||||||||||||||||||||
Rung-by-rung numbers are a Pro feature. Unlock Pro →
Gold is our distribution, parchment is the Kalshi contract at each strike; the band between them is green where our probability is higher and purple where it is lower. We publish our number only where we have measured it to be calibrated, between 30% and 70%; rungs outside that range show the market only. A contract pays $1 if it settles YES, so a price in cents is an implied probability. Prediction markets carry risk; contracts can settle at $0.
Power-rating comparison
Season outlook
10,000 simulated seasons on our preseason power ratings — real NFL tiebreakers, real 2026 schedule, no injuries or market prices. The season sim fits its own home-field (2.0 points, from played games); the game model above uses +2.5. How it works →
Why the model has the Rams by 7.5
The model does not think this one is close. The Rams rate 3rd of 32 at +5.1, the Giants 22nd at -1.3, and once home field is applied the line lands on the Rams by 7.5 — 73% to win. That is the 16th-widest gap among the 16 games on the Week 2 board. A preseason rating spread this size is not a promise: it says nothing about turnovers, health, or a defense that shows up different than last year. What it does say is that the Giants need the price to be wrong, not the matchup.
The sharpest unit gap in the game runs one way: the Rams offense grades +4.3 (1st of 32) against a Giants defense at -2.2 (27th) — 6.4 points of separation on our scale, and the single biggest reason the line sits where it does. Going the other direction, the Giants offense (+0.8, 14th) meets the Rams defense (+0.7, 7th), a 0.1-point gap.
Zoom out to the full season and the model projects the Rams at 10.6 wins (favored in 16 of 17) and the Giants at 7.7 (favored in 6) — 2.9 wins apart across the year. By win probability this is the 16th-hardest game on the Rams' schedule and the 2nd-hardest on the Giants'.
On the calendar, the Giants are on 8 days and the Rams are on 11 days. The Giants come in off the Cowboys, the Rams off the 49ers. None of that is in the model line — our rating model prices teams and home field, nothing else — so rest and travel are yours to weigh on top of the number, not inside it.
Scheduling note: this is a Monday game — the only one on the schedule that day — so it sits outside the main Sunday slate.
A note on confidence this high: the model has only been this sure 312 times in 3266 walk-forward games from 2013-2024. Teams it put in the 70-75% range won 71% of those. So a 73% Rams number is well supported by the record, and still loses about 29 times in 100 — which is exactly why the position is a price question, not a certainty question.
Kalshi's KXNFLGAME-26SEP21NYGLAR contract implies 75% for the Rams against our 73% — a 1.3-point gap. That is inside our 5-point threshold, so we pass — the market and the model are telling the same story.
Prediction markets are not sportsbooks — you trade a contract that settles at $1 or $0, not a wager against a house line. Informational only; trade responsibly.
Giants vs Rams on Kalshi
- Kalshi event
- KXNFLGAME-26SEP21NYGLAR
- Market-implied (Rams)
- 75c · 75%
- Our model (Rams)
- 73%
- Model vs market
- -1.3pp
Kalshi lists this game as KXNFLGAME-26SEP21NYGLAR. A contract price in cents is already a probability, so 75c on the Rams is an implied 75% — no odds conversion needed. Our model has 73%, a 1.3pp agreement. Contracts settle at $1 or $0 and you can exit before kickoff.
Where Giants vs Rams trades
2 venues price this game on their own exchange; the rest resell the Kalshi contract or list it without a price we can quote. Home-side price shown.
| Venue | Rams | Trade |
|---|---|---|
| Kalshi | 75% 75c | Trade on Kalshi → |
| Novig | 75% 75c | Open Novig → |
| Polymarket | no captured price for this game — international book | Sign-up offer → |
| Robinhoodsame Kalshi contract | 75% 75c | Open Robinhood → |
| Coinbasesame Kalshi contract | 75% 75c | Open Coinbase → |
| DraftKings Predictions | price not available — sign-up offer → | Sign-up offer → |
| FanDuel Predicts | price not available — sign-up offer → | Sign-up offer → |
| Fanatics Markets | price not available — sign-up offer → | Sign-up offer → |
A price under a venue name is that venue’s own; Robinhood and Coinbase list the same Kalshi contract. DraftKings Predictions, FanDuel Predicts and Fanatics Markets run on exchanges we have no price feed for, so they carry an offer and no number. We earn a referral credit or commission when you sign up through these links; it never changes the price or the model. Disclosure.
Giants vs Rams — frequently asked
Who is favored in Giants vs Rams in Week 2?
Our power-rating model picks the Rams by 7.5 points, a 73% win probability over the Giants, for a projected score of Rams 29, Giants 22 on a ratings-implied 50.5-point total. Kalshi's KXNFLGAME-26SEP21NYGLAR market implies 75% for the Rams — a 1.3pp agreement with the model.
What would it take for the Giants to win?
The 7.5-point line comes from a 6.4-point rating gap, and a single-game margin has roughly a 14.4-point standard deviation around it — which is why the Giants still project at 27% rather than zero. Their best structural path is the Giants defense (-2.2, 27th of 32) holding up. Ratings do not price injuries or turnover luck, which is where most upsets actually come from.
How do you take a position on Giants vs Rams?
The contract is KXNFLGAME-26SEP21NYGLAR on Kalshi, a CFTC-regulated exchange open to traders in all 50 states. Rams YES is quoted around 75c against our 73% model number. There is no point spread — you buy a yes or no contract on a team and it settles at $1 or $0.
When and where do the Rams host the Giants?
New York Giants visit the Los Angeles Rams on Monday, September 21, 2026 — a Monday game in NFL Week 2, at SoFi Stadium, Inglewood, CA.
What does the model project for the Rams and Giants this season?
Across all 17 games the model projects the Rams at 10.6 wins (favored in 16) and the Giants at 7.7 (favored in 6). This game ranks 16th-hardest on the Rams' schedule and 2nd-hardest on the Giants', by model win probability.
What are the Kalshi odds for Giants vs Rams?
Kalshi prices this game as event KXNFLGAME-26SEP21NYGLAR. The Rams YES contract sits around 75c, which is an implied 75% — against our model's 73%. That is a 1.3pp agreement, and a contract price in cents is already a probability, so no odds conversion is needed.
Can you trade Giants vs Rams on Kalshi?
Yes — as an event contract, not a point spread. Kalshi is a CFTC-regulated exchange open to traders in all 50 states, and the Week 2 game market is KXNFLGAME-26SEP21NYGLAR. You buy a YES or NO contract on a team between 1c and 99c and it settles at $1 or $0, so the price you pay is the break-even probability. There is no vig baked into a line, and you can exit before kickoff at whatever the market is then paying.
How often does the model win when it is 73% on a team like the Rams?
71% of the time. Over 3266 walk-forward games from 2013-2024 — trained only on prior seasons, no market line as an input — the model put a team in the 70-75% range 312 times, and those teams won 71% of them. The Rams at 73% over the Giants sit in that band, off a 7.5-point model line. Straight-up across all 3266 graded games the model picked winners at 59.6%, with a Brier score of 0.236 against 0.25 for a coin flip.
Why read this pick instead of a preview from a big sports outlet?
Two things a bigger outlet does not do. The number is posted before kickoff against the live Kalshi price, so you can see where the model and the market disagree while it still matters. And the page keeps the call after the game — result, hit or miss, closing-line value — so the record is public. Every graded call is at predictionmarketspicks.com/track-record.
Is Giants moneyline worth a position?
Our model puts it at 27% against a market price implying 26%, an edge of +1.3 points. Model 27% vs market 26% on NYG. We pass — no position.
Every Thursday before kickoff: the full Week 2 card, market price vs our number. Free.
No spam. Unsubscribe anytime.
More Week 2 matchups















Same model, inside your AI agent
The engine behind these numbers is callable from Claude, ChatGPT or Grok through our MCP server — every Kalshi prop this week priced venue by venue, spread and win-total ladders against the whole distribution, correlation-aware same-game combos, and the weekly game edges. The free tools answer with no key and no account.
See the in-season NFL tools →Prediction markets carry risk. Contracts can settle at $0. Informational only — not financial advice. Trade responsibly.
More NFL model boards
- Heisman odds 2026 — Kalshi vs Polymarket → — Every contender priced on both exchanges, cheaper venue named, plus Coach Gene’s longshots
- Grok fantasy football — connect the draft desk → — One URL, no key: the grok.com/connectors walkthrough and six prompts
- NFL MCP server — the in-season desk, inside your AI agent → — Kalshi props venue by venue, spread ladders, correlation-aware combos, weekly game edges — free tools, no key
- MCP setup — connect Claude, ChatGPT or Grok in a minute → — One URL, no API key: per-host install steps and troubleshooting
- NFL 2026 Market Guide — the 61-page book → — All 32 teams priced against the market, plus a 153-player draft board
- NFL Player Props vs Kalshi — the edge board → — Our projection vs the live Kalshi prop line, biggest gap first
- Madden 27 ratings vs our model vs the market → — All 32 team ratings, our power ratings, and live win-total prices on one board
- NFL Predictions — every game vs the market → — Free model win probability vs Kalshi on all 18 weeks
- 2026 NFL Win Totals — model vs Kalshi → — All 32 teams: projected wins vs the KXNFLWINS ladder
- NFL Standings 2026 — projected records + playoff odds → — All 8 divisions: projected record, PWR, division-title and playoff odds
- NFL Schedule Predictor 2026 — every game picked → — Straight-up winner, win probability and projected score for all 272 games, plus the 10,000-season sim
- NFL Game Edges — where the model disagrees → — Moneyline, spread & total edges vs Kalshi prices
- NFL MVP Edges → — Live MVP market mispricings vs Kalshi KXNFLMVP
- Win Total Futures → — Monte Carlo season wins vs the Kalshi line
- Championship Edges → — Playoff / conference / Super Bowl probabilities
- Kalshi NFL Markets → — How Kalshi prices every NFL market + live edges
- Power Rankings — the model methodology anchor → — All 32 teams on the points-per-game scale
- Fantasy Draft Assistant — the same model, in your AI agent → — Free MCP draft desk: board, best available, sleepers vs ADP, who-do-I-draft
- NFL Model Calibration Ledger — how accurate is it, actually → — The graded record: 59.6% straight up, 0.236 Brier, and hit rate by confidence bucket across 3,266 games
- NFL Power Ratings tool — build your own PWR board → — Adjust the model weights and re-rank all 32 teams on the points-per-game scale
- NFL Win Probability calculator → — Turn any rating gap, spread or moneyline into a calibrated win probability
- NFL Power Ratings vs. the Market — where we disagree → — Our PWR and the rating implied by live Kalshi win-total prices, all 32 teams on one points scale

