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NY Giants vs LA Rams

Sports Β· Kalshi Β· Called YES, verified WIN Β· Sep 19, 2026
View the original Kalshi market →
Verified Outcome
WIN
PillarLab called Los Angeles R to win (YES @ 75%).
Result: Los Angeles R won. The call was correct. Final result: Los Angeles R won.
Analyzed: Sep 19, 2026, 12:54 PM UTC
Market resolved: Sep 22, 2026, 3:17 AM UTC
Called 62h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxnflgame/professional-football-game/kxnflgame-26sep21nyglar

PillarLab
πŸ“‘ Fetching Kalshi data...
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βœ… Got data from Kalshi API!0.4s
PillarLab
πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: MULTI_CANDIDATE πŸ“Š Market: NY Giants vs LA Rams πŸ“… Date: 2026-09-22T06:15:00.000Z πŸ’° Volume: $1,238,906 Current Odds: β€’ Los Angeles R: 75% β€’ New York G: 26%0.9s
PillarLab
⏳ Step 2: Gathering intelligence (parallel)...
PillarLab
βœ… Intelligence gathered: Sportsbook Consensus (50+ books, vig removed) Β· Injury Report Β· Team Stats Β· Candidate Dossiers (case for + case against, every candidate β‰₯2%)6.7s
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🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ NY Giants vs LA Rams

Team/PlayerCurrent Odds
Los Angeles R75%
New York G26%

2 options total

PillarLab

🎯 Best Trade

  • Action: Los Angeles R β€” YES @ 75%

  • Confidence: 🟑 MEDIUM Β· Uncertainty: LOW

  • Why: 24 sharp books price Los Angeles R between 74 and 75 (Pinnacle 75, DraftKings 75, FanDuel 74, BetMGM 74, Caesars (WH) 74, Bet365 75, Circa 75, BetRivers 74, Bovada 74, BetOnline 74, LowVig 74, Fanatics 74, Betsson 74, 1xBet 75, Winamax FR 74, hardrockbet 74, betano_br 74, paddypower 73, polymarket 74, betfair_ex 74, novig 74, dafabet 74, superbet 74, betvictor 74). Consensus, vig removed: 74.3%. The market has Los Angeles R at 75%. That is the fair price. No discount, but the side is clear.

Line move since our first snapshot: Los Angeles R 77% to 74.3%. Money moved toward New York G.

  • Why New York G is priced where it is (26%):
  • Giants are 1-0 after a 28-20 Week 1 win over Dallas, but that was at home and their pass offense ranked #21 last season (204.4 yards/game).
  • They committed 7.5 penalties per game (#30) last season, a drive-killing habit that travels poorly into a hostile road environment.
  • The Rams have won four of the last five meetings including 38-11 and 51-17, and the Giants' secondary is banged up with Adebo on IR and Banks limited-then-DNP.

πŸ“ What would change this call: if the market drops Los Angeles R 5+ points under the books it becomes a HIGH-confidence discount. If the top books split by more than 5 points, or a starter is scratched, it goes to HOLD.

PillarLab

🏦 What the Books Say

Percent is the number the call runs on. American odds in parentheses are the same price, shown the way a sportsbook shows it.

BookLos Angeles RNew York G
Pinnacle74.5% (-330)25.5% (+280)
DraftKings75.2% (-370)24.8% (+285)
FanDuel74.3% (-340)25.7% (+275)
BetMGM73.5% (-333)26.5% (+260)
Caesars (WH)74.4% (-345)25.6% (+275)
Bet36574.6% (-357)25.4% (+275)
Circa74.7% (-345)25.3% (+280)
BetRivers74.3% (-357)25.7% (+270)
Bovada74.4% (-345)25.6% (+275)
BetOnline74% (-333)26% (+270)
LowVig74% (-333)26% (+270)
Fanatics74.4% (-345)25.6% (+275)
Betsson74.1% (-357)25.9% (+267)
1xBet74.5% (-364)25.5% (+272)
Winamax FR73.9% (-370)26.1% (+260)
hardrockbet74.4% (-345)25.6% (+275)
betano_br73.9% (-345)26.1% (+265)
paddypower73.1% (-345)26.9% (+250)
polymarket74.3% (-300)25.7% (+285)
betfair_ex74.2% (-294)25.8% (+285)
novig74.3% (-303)25.7% (+285)
dafabet74.2% (-345)25.8% (+270)
superbet74.4% (-345)25.6% (+275)
betvictor73.7% (-400)26.3% (+250)
Consensus, vig removed74.3%25.7%

24 sportsbooks priced this game. Spread across the top 24 on Los Angeles R: 1.2 pts (books agree). Best price: Los Angeles R -294 at betfair_ex Β· New York G +285 at DraftKings.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketBook ConsensusGapVerdict
Los Angeles R75%74.3%+0.7 ptsβšͺ FAIR PRICE
New York G26%25.7%+0.3 ptsβšͺ FAIR PRICE

Gap is market minus book consensus. Negative means the market is cheaper than the books, that is the discount we look for. 5 or more points cheaper is where the edge lives. 5 or more points over is overpaying.

PillarLab

πŸ”¬ 9-Pillar Analysis (Sharp Trading Method)

🏦 1. Book Consensus

Consensus of 24 sportsbooks, vig removed: Los Angeles R 74.3%, New York G 25.7%. Pinnacle: Los Angeles R 74.5%, New York G 25.5%. Spread across the top books on Los Angeles R: 1.2 pts (books agree).

πŸ“ˆ 2. Form & Head-to-Head

The Giants are 1-0 after a 28-20 Week 1 home win over Dallas, their first Week 1 win since 2022, while the Rams are 0-1 after a 27-7 loss to San Francisco in Australia; the Rams have won five straight in this series (2020-2023) including 38-11 and 51-17, though the last meeting was a 26-25 nail-biter.

πŸ₯ 3. Injury Report

The Rams are missing star DE Myles Garrett (IR, knee surgery, out at least 4 weeks) and have S Kamren Kinchens (hamstring) DNP both days plus WR Puka Nacua (hip) and WR Jordan Whittington (quad) DNP, while the Giants have CB Paulson Adebo (knee/IR) out and CB Deonte Banks (calf) going limited-then-DNP.

🧾 4. Starters & Lineups

No starting lineups or inactives have been announced for this Monday game; the only lineup-relevant news is the unconfirmed possibility of Aaron Donald returning after a two-year retirement, which is not an official roster move.

πŸ“° 5. Recent News (48h)

Nothing material in the last 48 hours beyond the injury report items already listed β€” the Garrett IR placement and the Donald return chatter are the freshest threads.

🌀️ 6. Situational Factors

The Rams are at home as 8.5-point favorites on a Monday night, while the Giants travel cross-country off a Week 1 home win; no weather or rest disadvantage is flagged for either side.

πŸ”€ 7. Line Movement

Since our first snapshot (2026-09-05 14:05 UTC): Los Angeles R 77% to 74.3%, New York G 23.1% to 25.7%. Money moved toward New York G.

πŸ•’ 8. What the Books May Not Have Priced

LOW - the Garrett IR news and the Giants' secondary injuries are real but already reflected in the 74.3% consensus, and the Donald return remains unconfirmed rumor rather than a dated roster move.

⚑ 9. Why the Other Side Is Priced Where It Is

The main contrarian risk is that the Rams' pass rush is gutted by Garrett's absence and the Giants' ground game (129.1 rush yards/game, #5 last season) can shorten the game and keep it within one score, as it did in the 26-25 meeting.

PillarLab

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Paste any market URL for a full 9-pillar analysis: Vegas lines, injury reports, weather forecasts, sentiment, edge vs market, and a Best Trade call.

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Paste a Kalshi or Polymarket URL β†’ AI fetches real-time API market data β†’ 4–5 parallel intelligence sources β†’ a deep 9-pillar analysis β†’ an actionable prediction with an edge estimate. 5 market categories: Politics, Sports, Weather, Finance and General.

⚽ Sports (9 Pillars)

  1. 1.Vegas Lines β†’ spread, moneyline, totals
  2. 2.Line Movement β†’ sharp money signals
  3. 3.Injury Reports β†’ player status tracking
  4. 4.Reddit Sentiment β†’ r/sportsbook consensus
  5. 5.Team Statistics β†’ form, H2H, splits
  6. 6.Situational Factors β†’ rest, travel, schedule
  7. 7.Handle Splits β†’ public vs sharp money
  8. 8.Time Decay β†’ late line movement
  9. 9.Contrarian Check β†’ fade-the-public value

🌦️ Weather (9 Pillars)

  1. 1.Forecast Consensus β†’ GFS / ECMWF / NWS agreement
  2. 2.Ensemble Spread β†’ GEFS uncertainty range
  3. 3.Forecast Skill Decay β†’ accuracy vs time horizon
  4. 4.Historical Base Rate β†’ NOAA climate frequency
  5. 5.Model Divergence β†’ where models disagree vs market
  6. 6.Micro-Climate Bias β†’ station-specific effects
  7. 7.Storm Track β†’ NHC cone / hurricane tracking
  8. 8.Market Pricing β†’ implied probability vs forecast
  9. 9.Contrarian Check β†’ overshoot / mean-reversion

πŸ’° Finance (9 Pillars)

  1. 1.Technical Analysis β†’ RSI, MACD, support levels
  2. 2.Fundamental Metrics β†’ P/E, revenue, earnings
  3. 3.Smart Money β†’ institutional flows, insider trades
  4. 4.Reddit Sentiment β†’ WSB, r/stocks analysis
  5. 5.Macro Indicators β†’ Fed rates, inflation, GDP
  6. 6.News Catalysts β†’ earnings, product launches
  7. 7.Social Velocity β†’ Twitter momentum tracking
  8. 8.Market Signals β†’ volume, bid-ask analysis
  9. 9.Contrarian Check β†’ overcrowded trade detection

πŸ“° General (9 Pillars)

  1. 1.Base Rate β†’ historical frequency analysis
  2. 2.Official Benchmarks β†’ expert forecasts
  3. 3.Reddit Sentiment β†’ subreddit consensus
  4. 4.Social Velocity β†’ viral momentum tracking
  5. 5.News Recency β†’ 24–72h breaking news
  6. 6.Source Quality β†’ credibility scoring
  7. 7.Time Decay β†’ resolution timeline
  8. 8.Contrarian Check β†’ hidden edge detection

πŸ›οΈ Politics (9 Pillars)

  1. 1.Polls Analysis β†’ polling vs market odds divergence
  2. 2.Economic Impact β†’ GDP, unemployment affecting votes
  3. 3.Approval Ratings β†’ candidate favorability tracking
  4. 4.Cross-Platform Markets β†’ Polymarket vs Kalshi arbitrage
  5. 5.Breaking News β†’ events shifting political odds
  6. 6.Regional Patterns β†’ swing state analysis
  7. 7.Social Sentiment β†’ Reddit, X political trends
  8. 8.Data Uncertainty β†’ confidence intervals
  9. 9.Contrarian Risk β†’ devil's advocate view