← Back to Track Record

Torino vs Monza Prediction (Oct 23)

Sports Β· Kalshi Β· Called NO, not settled yet PENDING Β· Oct 23, 2026
View the original Kalshi market →
Live Call
PENDING
PillarLab called Monza will NOT win (NO @ 27%).
The market has not settled yet. This page updates with the real result automatically, win or loss.
Analyzed: Oct 23, 2026, 6:02 PM UTC

https://kalshi.com/markets/kxserieagame/torino-vs-monza/KXSERIEAGAME-26OCT23TORMON?utm_source=kalshiapp_eventdetails

PillarLab
πŸ“‘ Fetching Kalshi data...
PillarLab
βœ… Got data from Kalshi API!0.6s
PillarLab
πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: MULTI_CANDIDATE πŸ“Š Market: Torino vs Monza πŸ“… Date: 2026-10-23T21:45:00.000Z πŸ’° Volume: $126,965 Current Odds: β€’ Torino: 46% β€’ Tie: 29% β€’ Monza: 27%1.9s
PillarLab
⏳ Step 2: Gathering intelligence (parallel)...
PillarLab
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%)28.4s
PillarLab
🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ Torino vs Monza

Team/PlayerCurrent Odds
Torino46%
Tie29%
Monza27%

3 options total

PillarLab

🎯 My Call

Torino to win

  • Confidence: 🟑 MEDIUM

Torino are the side with the points and the form, and Monza's back line is the reason I'm not paying for them.

πŸ‘‰ Buy Monza NO at 73Β’

My fair price is 77Β’, so that's 4Β’ of edge.

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

  • How I'd run it: Normal size, since the Monza standing and recent results conflict across sources and I don't want to overcommit. I'd add if Torino's probable lineup has Simeone starting, and I'd cut if Monza score first, because I'm not paying for a Torino comeback story.
OptionMy priceMarket
Torino52Β’46Β’
Tie25Β’29Β’
Monza23Β’27Β’

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

  • Torino have 10 points from their last five league games while Monza are sitting on 7 points from seven, so the table and the recent results point the same way.
  • Monza have conceded 15 goals in 7 league matches, the second-worst defensive record in Serie A, and that is the number that worries me most.
  • Torino's 3-0 win at Parma and the 2.42 to 0.71 xG edge over Udinese say they are creating chances, not just getting lucky.
  • The head-to-head is 3 wins for Torino, 1 for Monza and 3 draws, so there is no history to suggest Monza find a way here.
  • What kills it: Monza's 4-0 win over Cagliari is the real form line and Torino's historic inability to string three league wins together turns this into a draw or a Monza upset.

  • What flips me: Confirmation that Simeone and Adams are both out of the Torino lineup would take away the attacking edge I'm paying for.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
Torino46%βšͺ FAIR
Tie29%βšͺ FAIR
Monza27%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 reads Torino at about 45%, Draw about 28%, and Monza about 28% after removing the margin, so the market's Torino price sits slightly above my line while the Monza price is close to it.

πŸ“ˆ 2. PillarScore

Torino's recent form is the stronger read: 2-1 over Udinese and 3-0 away at Parma, with 10 points from five league games, while Monza's most recent league result is a 3-1 defeat at Lazio, though one source also cites a 4-0 home win over Cagliari, so the sequence is not fully settled.

πŸ₯ 3. Injury Report

Injury and lineup status is not publicly available for either side; the team-news headings are present but empty, so no named absences can be confirmed.

πŸ“± 4. Reddit Sentiment

Reddit sentiment is not available for this fixture, so there is no crowd hype signal to read.

🧠 Off the Record

No framework. Just what I actually think.

The crowd is paying for Torino's name and their 10th-place table spot, but that is not what's driving my number. Torino have won two in a row with real goals, and Simeone is firing. Monza's cushion is a 4-0 win over Cagliari against a 3-1 loss at Lazio, and the sources can't even agree on where they sit in the table, which tells me the form picture is noisy. What I do trust is the 15 goals conceded in seven games, that's a defence that leaks, and it's the number I'm buying against. The draw is live because Torino have a habit of not closing out three-game runs, and the head-to-head has three draws in it, so I'm not pretending this is a lock. But I'm not paying for a stalemate when Torino are creating the better chances. I'm buying Torino at a normal size and I'm waiting on the lineups before I touch anything else.

πŸ”’ 5. Team Stats & Form

Monza have conceded 15 goals in 7 league matches, the second-worst defensive record in Serie A, and Torino's attacking output (8 goals) is close to Monza's (10), so the stat gap is modest.

🌀️ 6. Situational Factors

Torino are at home and Monza travel, with the two clubs roughly 20 km apart; rest and fatigue are not covered in the intelligence.

πŸ”€ 7. Line Movement

No opening line or line movement is present in the intelligence, so no steam or reverse move can be identified.

⏰ 8. Time Decay

LOW - Lineup announcements and team-news content are referenced but absent, so a late absence could move the price without warning.

⚑ 9. Contrarian Check

The main risk to a Torino-favoured read is a draw: the tie is priced near 29% and the model-based forecast puts it near 26%, so a low-scoring stalemate is a live outcome that would not resolve the Monza side in our favour.

PillarLab

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

Stop guessing. See the edge.

Paste any Kalshi or Polymarket market. PillarLab runs a full 9-pillar analysis and hands you a Best Trade call in about 30 seconds.

Free to start Β· 10 credits Β· no card

PillarLab AI is an AI prediction-market analyzer that runs a 9-pillar analysis on Kalshi and Polymarket markets and publishes a public, settlement-verified track record of its decisive calls.

PillarLab AI
PillarLab
9-Pillar Analysis ~30s

#1 AI-Powered Prediction Market Analyzer Tool for Kalshi & Polymarket

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.

How it works

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