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New York RB vs Miami

Sports Β· Kalshi Β· Called NO, verified LOSS Β· Oct 24, 2026
View the original Kalshi market →
Verified Outcome
LOSS
PillarLab called New York RB will NOT win (NO @ 31%).
Result: New York RB won. The call was wrong. Final result: New York RB won.
Analyzed: Oct 24, 2026, 8:39 PM UTC
Market resolved: Oct 24, 2026, 11:42 PM UTC
Called 3h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxmlsgame/new-york-rb-vs-miami/KXMLSGAME-26OCT24NYRBMIA?utm_source=kalshiapp_eventdetails

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πŸ“‘ Fetching Kalshi data...
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βœ… Got data from Kalshi API!0.5s
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πŸ” Step 1: Detecting market type and category...
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βœ… Category: ⚽ SPORTS βœ… Type: MULTI_CANDIDATE πŸ“Š Market: New York RB vs Miami πŸ“… Date: 2026-10-25T00:30:00.000Z πŸ’° Volume: $585,570 Current Odds: β€’ Miami: 46% β€’ New York RB: 31% β€’ Tie: 24%1.9s
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⏳ Step 2: Gathering intelligence (parallel)...
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βœ… Intelligence gathered: Vegas Lines Β· Injury Report Β· Team Stats Β· Reddit Sentiment Β· Candidate Dossiers (case for + case against, every candidate β‰₯2%)27.9s
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🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
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πŸ“Š Market Summary

⚽ New York RB vs Miami

Team/PlayerCurrent Odds
Miami46%
New York RB31%
Tie24%

3 options total

PillarLab

🎯 My Call

Miami to win

  • Confidence: 🟑 MEDIUM

Miami is 19 points clear on the table and New York's shot volume doesn't fix a side on two straight losses.

πŸ‘‰ Buy New York RB NO at 69Β’

My fair price is 72Β’, so that's 3Β’ of edge.

Why NO? A draw kills a Miami YES bet. New York RB NO pays if Miami wins AND if it's a draw. Two ways to cash instead of one.

  • How I'd run it: Normal size since the points gap is real but the lineup holes add noise. I add if the Miami lineup comes out at full strength, and I get out if Messi is ruled out.
OptionMy priceMarket
Miami50Β’46Β’
New York RB28Β’31Β’
Tie22Β’24Β’

I set my prices from the research alone, before I saw the market. These are pre-game prices. If the game is already live, the score beats my numbers.

Why

  • Miami sits on 55 points to New York's 36, a 19 point gap built over 30 games, not a small sample to fade.
  • New York is on two straight league losses and ninth in the standings, and playing at home doesn't change that picture.
  • Miami came off a 3-1 win at Atlanta with a Messi brace and a GermΓ‘n Berterame strike, so the attack is firing.
  • Forsberg at 5.6 shots per 90 and Cowell at 5.2 are New York's best case, but Miami still has the better team even with four players out.
  • What kills it: New York turns Forsberg and Cowell's shot volume into a home win while Miami's absences of Allende, Caicedo and Silvetti, plus FalcΓ³n's suspension, cost them.

  • What flips me: Messi being ruled out would take the air out of my number and I'd be looking at New York.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
Miami46%βšͺ FAIR
New York RB31%βšͺ FAIR
Tie24%βšͺ FAIR

Verdicts compare my own read against the market price, 🟒 UNDERPRICED (market has it too low) Β· πŸ”΄ OVERPRICED (market has it too high). The analysis below is the why.

PillarLab

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

πŸ“Š 1. Vegas Line

My Vegas Line has no published price for this fixture, so the only prices available are the market's own: Miami 46%, New York RB 31%, Tie 24%, with no visible drift to read.

πŸ“ˆ 2. PillarScore

Miami (15W-5L-10D, 55 pts) arrive on a winning run after beating Atlanta with a Messi brace, while New York RB (10W-14L-6D, 36 pts) enter on two consecutive league defeats and sit ninth in the standings; the opponent-quality detail behind each result is thin in the intelligence, so this read is limited.

πŸ₯ 3. Injury Report

Miami are missing Tadeo Allende (SEI), Fricio Caicedo (lower body) and Mateo Silvetti (SEI), with Maximiliano FalcΓ³n suspended; New York RB are without Justin Che (knee), so the absences are heavier on the Miami side.

πŸ“± 4. Reddit Sentiment

No Reddit discussion of this fixture was found, so there is no crowd-hype signal to read either way.

🧠 Off the Record

No framework. Just what I actually think.

Here's what I'm seeing. The crowd looks at the home team's shot numbers and thinks New York has a shot. Forsberg is fourth in MLS for shots per 90 and Cowell is seventh, and that's real. But that's a volume stat, and the table tells the story of the season. Miami is 55 points, New York is 36, and New York is coming in on two straight losses sitting ninth. Miami's missing Allende, Caicedo and Silvetti, and FalcΓ³n is suspended, so I'm not calling this a clean price. But the depth gap is still there and Miami's attack is in form after the Atlanta win with Messi scoring a brace. The place where I could be wrong is the Forsberg and Cowell volume turning into goals at home. That's the trade I'm paying to avoid. I'm buying Miami at a normal size. The caveat is the absences, not the quality. If Messi is out, I'm flat and looking the other way.

πŸ”’ 5. Team Stats & Form

Recent form favors Miami: they are chasing a fourth straight win, while New York RB have lost their last two league matches; Emil Forsberg (5.6 shots/90) and Cade Cowell (5.2) give the Red Bulls real attacking output over Matchdays 29–31, but that is a three-match window and does not offset the results.

🌀️ 6. Situational Factors

New York RB host at Sports Illustrated Stadium on Oct 24, a home edge that partly offsets Miami's form, while Miami's depleted squad adds travel and lineup uncertainty for the visitors.

πŸ”€ 7. Line Movement

No line movement history was found, so there is no steam or reverse-move signal to report.

⏰ 8. Time Decay

LOW - no lineup announcement or late injury news was found in the intelligence, so the main pending information is the official team sheets.

⚑ 9. Contrarian Check

The main risk to a Miami-leaning read is that Miami's injury list is long and Forsberg and Cowell are genuinely productive, so an attack-led Red Bulls performance at home could produce a result the record does not predict.

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⚽ 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
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  5. 5.News Recency β†’ 24–72h breaking news
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πŸ›οΈ Politics (9 Pillars)

  1. 1.Polls Analysis β†’ polling vs market odds divergence
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  8. 8.Data Uncertainty β†’ confidence intervals
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