← Back to Track Record

Atlante vs San Luis 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 San Luis will NOT win (NO @ 30%).
The market has not settled yet. This page updates with the real result automatically, win or loss.
Analyzed: Oct 23, 2026, 10:57 PM UTC

https://kalshi.com/markets/kxligamxgame/atlante-vs-san-luis/KXLIGAMXGAME-26OCT23ALAASL?utm_source=kalshiapp_eventdetails

PillarLab
πŸ“‘ Fetching Kalshi data...
PillarLab
βœ… Got data from Kalshi API!0.8s
PillarLab
πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: MULTI_CANDIDATE πŸ“Š Market: Atlante vs San Luis πŸ“… Date: 2026-10-24T06:00:00.000Z πŸ’° Volume: $69,820 Current Odds: β€’ Atlante: 44% β€’ San Luis: 30% β€’ Tie: 28%2.2s
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%)29.8s
PillarLab
🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ Atlante vs San Luis

Team/PlayerCurrent Odds
Atlante44%
San Luis30%
Tie28%

3 options total

PillarLab

🎯 My Call

Atlante to win

  • Confidence: πŸ”΄ LOW

Atlante has the better underlying numbers and San Luis is sitting 16th on a -7 goal difference, so I'm taking Atlante without paying for the favorite label.

πŸ‘‰ Buy San Luis NO at 70Β’

My fair price is 72Β’, so that's 2Β’ of edge.

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

  • How I'd run it: Small size, given the source conflicts and the lack of injury or lineup information. I'd add only if the lineups confirm Atlante's main attackers, and I'd cut if a key Atlante starter is ruled out.
OptionMy priceMarket
Atlante46Β’44Β’
San Luis28Β’30Β’
Tie26Β’28Β’

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

  • Atlante averages 1.55 goals per game to San Luis's 1.09, and their xG is about even at 1.21 to 1.22 .
  • San Luis is 16th on 9 points with a -7 goal difference, and their 12 goals for and 19 against over 10 games tell you the defense is leaking .
  • Atlante's 2-0 loss at QuerΓ©taro and 3-0 loss to Pachuca show they can get blown out, but the 4-2 win over Monterrey shows the ceiling is real .
  • The gap in expected goals conceded is tiny at 1.43 to 1.49 , so I'm not paying up for Atlante because of defense. I'm paying for the attack and the possession.
  • What kills it: Atlante's form has been erratic enough that a tight, low-scoring game ends in a draw or a San Luis upset, and the tie is live with xG this close.

  • What flips me: A confirmed Atlante injury or suspension to a key attacker or the goalkeeper before kickoff.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
Atlante44%βšͺ FAIR
San Luis30%βšͺ FAIR
Tie28%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 numbers for this fixture, so the market's 44/30/28 split stands as the only price available and shows no visible drift to read.

πŸ“ˆ 2. PillarScore

Atlante's recent results (4-2 over Monterrey, 1-1 with Pumas, 2-0 loss at QuerΓ©taro, 3-0 loss to Pachuca) are mixed, while San Luis went 2W-3D-5L over 10 with 12 GF/19 GA, so neither side's form clearly separates them once opponent quality is weighed.

πŸ₯ 3. Injury Report

No injury or suspension information for either Atlante or San Luis was found in the intelligence, so this pillar cannot clear or disqualify either side.

πŸ“± 4. Reddit Sentiment

No Reddit sentiment data is available for this fixture, so no crowd over-hype can be identified.

🧠 Off the Record

No framework. Just what I actually think.

Look, nobody in this research actually tells us anything about this match. No injuries, no lineups, no prices we can trust. What we do have is the season picture: San Luis is 16th with a -7 goal difference, and they've been leaking goals, 19 in ten games. Atlante is scoring 1.55 a game, which is the real edge here, even though their form is a mess. The crowd sees a favorite label and a 44 percent price and calls it a day. I'm not sure the label means much when the xG is basically identical, 1.21 to 1.22. The sources also contradict each other on San Luis's results against UNAM and Santos, so I'm not building anything big on the details. The 44 percent on Atlante is a lean on attack versus defense, and the draw at 28 is not dead money if this game stays tight. I'm buying a small Atlante position, and I'll only add when I see the lineups confirm their attackers.

πŸ”’ 5. Team Stats & Form

Atlante leads on the available ESPN averages (1.55 goals scored vs 1.09), but San Luis has a leaky defense (19 GA in 10), and Atlante's 1.43 xG conceded is only marginally better than San Luis's 1.49.

🌀️ 6. Situational Factors

Both sides are in Liga MX mid-season form with no rest, travel, or venue data provided, so situational factors are not separable from the evidence.

πŸ”€ 7. Line Movement

No line movement history is published for this fixture, so no steam or reverse move can be read.

⏰ 8. Time Decay

LOW - no injury, lineup, or price-move signal is visible in the intelligence that the market is likely to absorb soon.

⚑ 9. Contrarian Check

San Luis's over-2.5 scoring streak (last three Liga MX games) argues against a tie, so the draw price at 28% may be overstated if the match is open.

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