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San Antonio vs Dallas

Sports Β· Kalshi Β· Called NO, verified LOSS Β· Oct 25, 2026
View the original Kalshi market →
Verified Outcome
LOSS
PillarLab called San Antonio will NOT win (NO @ 85%).
Result: San Antonio won. The call was wrong. Final result: San Antonio won.
Analyzed: Oct 25, 2026, 12:40 AM UTC
Market resolved: Oct 25, 2026, 2:32 AM UTC
Called 2h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxnbagame/sa-spurs-vs-dal-mavericks/KXNBAGAME-26OCT24SASDAL?utm_source=kalshiapp_eventdetails

PillarLab
πŸ“‘ Fetching Kalshi data...
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βœ… Got data from Kalshi API!0.8s
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πŸ” Step 1: Detecting market type and category...
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βœ… Category: ⚽ SPORTS βœ… Type: BINARY πŸ“Š Market: San Antonio vs Dallas πŸ“… Date: 2026-10-25T03:00:00.000Z πŸ’° Volume: $1,708,751 Current Odds: β€’ San Antonio: 85% β€’ Dallas: 16%1.3s
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%)27.5s
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🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ San Antonio vs Dallas

Team/PlayerCurrent Odds
San Antonio85%
Dallas16%

2 options total

PillarLab

🎯 My Call

San Antonio to win

  • Confidence: 🟑 MEDIUM

Dallas is trying to beat a healthier team on the second night of a back-to-back with its best forward on the shelf, and the market still wants you to believe the 0-2 Spurs are the problem.

πŸ‘‰ Buy San Antonio NO at 15Β’

My fair price is 28Β’, so that's 13Β’ of edge.

Why NO if I think San Antonio wins? The market has San Antonio at 85Β’, higher than my 72%. NO costs 15Β’ and pays $1 if San Antonio loses.

  • How I'd run it: Normal size, since the Flagg status is still muddy between the Out listing and the undated MRI report. I add if Flagg is confirmed out late and I get out the moment Wembanyama is listed questionable.
OptionMy priceMarket
San Antonio72Β’85Β’
Dallas28Β’16Β’

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

  • Dallas is missing Cooper Flagg (listed Out) and has five more rotation players day-to-day, so the Mavericks are thin in exactly the spots that matter.
  • San Antonio's 0-2 start came against Oklahoma City and Houston, which is a brutal opening schedule, not proof the roster is broken.
  • The Spurs are only dealing with Jayden Quaintance (knee, out) and Tobias Harris (calf, day-to-day), a far cleaner bill of health than Dallas.
  • Dallas's 1-1 start rests on one blowout of the Pacers on Friday, and that is the same game that put them on the back-to-back tonight.
  • What kills it: Flagg plays through the shoulder and Dallas gets a big night from its bench while Wembanyama goes quiet.

  • What flips me: A confirmed Wembanyama absence or a San Antonio starter ruled out would flip me to Dallas.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketBook ConsensusGapVerdict
San Antonio85%82.1%+2.9 ptsβšͺ FAIR PRICE
Dallas16%17.9%-1.9 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 8 sportsbooks found by live search, vig removed: San Antonio 82.1%, Dallas 17.9%. Spread across the top books on San Antonio: 1.3 pts (books agree).

πŸ“ˆ 2. Form & Head-to-Head

Neither side has a usable last-5 or head-to-head record for this matchup in the intelligence; San Antonio is 0-2 (losses to Oklahoma City and Houston) and Dallas is 1-1 with a recent win over Indiana, and the only prior meeting cited is San Antonio's 139-120 win on April 10, 2026.

πŸ₯ 3. Injury Report

Dallas has Cooper Flagg listed Out with a shoulder issue, plus Dereck Lively II, Santi Aldama, Caleb Martin, Jett Howard and Tarik Biberovic all day-to-day; San Antonio's only cited absences are Jayden Quaintance (knee, out) and Tobias Harris (calf, day-to-day).

🧾 4. Starters & Lineups

No confirmed starting lineups for this specific game appear in the intelligence, so the starter picture cannot be checked against the timing of the line.

🧠 Off the Record

No framework. Just what I actually think.

Here's what I'm seeing. The crowd is treating Dallas like a team that just lost its star for the year, and that's not what the research says. The Reddit MRI report is undated and says a mild sprain, while the other source has him listed Out. Maybe he's out, maybe he's a late scratch, maybe he plays. Either way Dallas is missing a lot of bodies, five more guys day-to-day, and they're on the second night of a back-to-back after beating the Pacers Friday. That's a tired, shorthanded team at home.

The Spurs' 0-2 start is the number everybody's staring at, and I think it's a schedule story. Oklahoma City and Houston are real teams, and the Houston loss came down to one possession where Amen Thompson got in front of Wemby's layup. That's a coin flip that went the wrong way, not a roster that's cracked. Their injury list is short, Quaintance and Harris, and neither one is a rotation cornerstone.

So I'm on San Antonio, but I'm not paying up for the story. I'm buying the health gap and the Dallas back-to-back and I'm sizing it like a normal position. If Flagg is confirmed out and Wemby is cleared, I add. If anything shows up on Wembanyama, I'm out.

πŸ“° 5. Recent News (48h)

Nothing material dated in the last 48 hours is confirmed for this game; the Flagg MRI item is undated and the Spurs injury note refers to an earlier fixture.

🌀️ 6. Situational Factors

San Antonio is the road team on a short turnaround (Dallas is on a back-to-back per the preview), and the total sits at 231.5; no weather factor applies in an indoor arena.

πŸ”€ 7. Line Movement

Line movement isn't available for this game: the prices came from live web search, not our snapshot feed.

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

LOW - The only potentially late item (Flagg's shoulder MRI) is undated, so it cannot be shown to postdate the current pricing.

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

The case against Dallas is the Flagg absence plus a cluster of day-to-day rotation players, which removes the team's main scoring and defensive anchor and leaves a thinner rotation facing a team that is already favored despite its own 0-2 start.

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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
  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