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Washington vs Philadelphia

Sports Β· Kalshi Β· Called YES, verified WIN Β· Aug 21, 2026
View the original Kalshi market →
Verified Outcome
WIN
PillarLab called Philadelphia to win (YES @ 68%).
Result: Philadelphia won. The call was correct. Final result: Philadelphia won.
Analyzed: Aug 21, 2026, 2:25 PM UTC
Market resolved: Sep 13, 2026, 11:41 PM UTC
Called 561h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxnflgame/pro-football-game/kxnflgame-26sep13wasphi

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: Washington vs Philadelphia πŸ“… Date: 2026-09-13T23:25:00.000Z πŸ’° Volume: $14,616 Current Odds: β€’ Philadelphia: 68% β€’ Washington: 33%1.1s
PillarLab
⏳ Step 2: Gathering intelligence (parallel)...
PillarLab
βœ… Intelligence gathered: Team Stats Β· PillarScore Β· Injury Report Β· Starters & Lineups Β· Situational Factors Β· Recent News (last 48h) Β· Sportsbook Consensus (50+ books, vig removed) Β· Candidate Dossiers (case for + case against, every candidate β‰₯2%)0.0s
PillarLab
🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ Washington vs Philadelphia

Team/PlayerCurrent Odds
Philadelphia68%
Washington33%

2 options total

PillarLab

🎯 Best Trade

  • Action: Philadelphia β€” YES @ 68%

  • Confidence: πŸ”΄ LOW Β· Uncertainty: LOW

  • Why: 23 sharp books price Philadelphia between 65 and 67 (Pinnacle 67, DraftKings 66, FanDuel 68, BetMGM 66, Caesars (WH) 66, Betfair 65, BetRivers 65, Bovada 67, BetOnline 66, LowVig 66, Marathonbet 63, Unibet NL 65, Unibet SE 65, Betclic 66, Betsson 67, BetUS 66, Coolbet 66, GTbets 66, LeoVegas 65, MyBookie 66, NordicBet 67, Tipico 66, everygame 66). Consensus, vig removed: 65.9%. The market has Philadelphia at 68%. The market is 2.1 points above the books, so you pay a little over fair. Still the right side.

Line move: one snapshot so far, nothing to report yet.

  • Why Washington is priced where it is (33%):
  • Washington is the road team in Philadelphia, a disadvantage in a division rivalry.
  • Washington's injury report is crowded: Laremy Tunsil is out, Dorance Armstrong is suspended, and Marcus Mariota is questionable with a knee issue.
  • Philadelphia has won two of the last three head-to-head meetings, including a 29-18 and 26-18 win, suggesting a stronger baseline in the rivalry.

πŸ“ What would change this call: if the market drops Philadelphia 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.

BookPhiladelphiaWashington
Pinnacle66.9% (-224)33.1% (+193)
DraftKings65.7% (-218)34.3% (+180)
FanDuel67.8% (-240)32.2% (+198)
BetMGM65.8% (-220)34.2% (+180)
Caesars (WH)66.4% (-225)33.6% (+186)
Betfair65.2% (-250)34.8% (+162)
BetRivers64.8% (-215)35.2% (+170)
Bovada66.9% (-230)33.1% (+190)
BetOnline65.9% (-215)34.1% (+183)
LowVig65.9% (-215)34.1% (+183)
Marathonbet62.5% (-196)37.5% (+152)
Unibet NL65.2% (-215)34.8% (+175)
Unibet SE65.2% (-215)34.8% (+175)
Betclic65.9% (-238)34.1% (+175)
Betsson66.6% (-256)33.4% (+177)
BetUS65.9% (-215)34.1% (+183)
Coolbet66% (-233)34% (+177)
GTbets65.8% (-220)34.2% (+180)
LeoVegas65.2% (-215)34.8% (+175)
MyBookie66.4% (-238)33.6% (+181)
NordicBet66.6% (-256)33.4% (+177)
Tipico66.3% (-238)33.7% (+180)
everygame65.8% (-220)34.2% (+180)
Consensus, vig removed65.9%34.1%

23 sportsbooks priced this game. Spread across the top 23 on Philadelphia: 2.1 pts (books agree). Best price: Philadelphia -196 at Marathonbet Β· Washington +198 at FanDuel.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketBook ConsensusGapVerdict
Philadelphia68%65.9%+2.1 ptsβšͺ FAIR PRICE
Washington33%34.1%-1.1 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 23 sportsbooks, vig removed: Philadelphia 65.9%, Washington 34.1%. Pinnacle: Philadelphia 66.9%, Washington 33.1%. Spread across the top books on Philadelphia: 2.1 pts (books agree).

πŸ“ˆ 2. Form & Head-to-Head

Recent form is too thin to read: Philadelphia is 2-3 in its last 5 (including a 24-7 preseason loss at Baltimore) and Washington is 3-2 (including a 20-7 preseason win over Miami), but the sample is only 5 games per side and heavily weighted to head-to-head meetings.

πŸ₯ 3. Injury Report

Washington's injury report is crowded: Laremy Tunsil (triceps) is out, Dorance Armstrong is suspended for Week 1, and Marcus Mariota (knee), Tim Settle, Jeremy McNichols, Trey Amos, Nick Allegretti, John Bates, and Javontae Jean-Baptiste are all questionable; Philadelphia lists Cooper DeJean, Danny Gray, Quinyon Mitchell, Tariq Castro-Fields, Makai Lemon, Jonathan Jones, and Chance Campbell as questionable, with Jonathan Greenard expected back from PUP.

🧾 4. Starters & Lineups

Starters and lineups have not been announced for this game, so no confirmed lineup information is available.

πŸ“° 5. Recent News (48h)

Nothing material in the last 48 hours beyond the injury updates already noted, including Mariota's knee issue from the preseason game.

🌀️ 6. Situational Factors

Philadelphia is at home at Lincoln Financial Field; Washington is the road team, and no confirmed weather for this game is available.

πŸ”€ 7. Line Movement

One snapshot so far (2026-08-21 14:20 UTC). No line move to report yet; the next snapshot lands within two hours.

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

LOW - The injury report is dated Aug. 11-14, 2026, and the line has not moved since, but the key names (Mariota, Tunsil) were already known when the price was set, so nothing fresh is likely unpriced.

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

Washington sits at 33% because they are the road team with a more crowded injury report (Tunsil out, Armstrong suspended, Mariota questionable) and Philadelphia has won two of the last three head-to-head meetings, including a 29-18 and 26-18 win, suggesting a stronger baseline in the rivalry.

PillarLab

⚠️ Disclaimer: AI can make mistakes. This is not financial advice. Do your own research before placing any trades.

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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