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Erzurum vs Corum

Sports Β· Kalshi Β· Called NO, verified LOSS Β· Oct 31, 2026
View the original Kalshi market →
Verified Outcome
LOSS
PillarLab called Corum will NOT win (NO @ 62%).
Result: Corum won. The call was wrong. Final result: Corum won.
Analyzed: Oct 31, 2026, 11:22 AM UTC
Market resolved: Oct 31, 2026, 12:29 PM UTC
Called 1h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxsuperliggame/erzurum-vs-corum/KXSUPERLIGGAME-26OCT31ERZCOR?utm_source=kalshiapp_eventdetails

PillarLab
πŸ“‘ Fetching Kalshi data...
PillarLab
βœ… Got data from Kalshi API!0.7s
PillarLab
πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: MULTI_CANDIDATE πŸ“Š Market: Erzurum vs Corum πŸ“… Date: 2026-10-31T13:30:00.000Z πŸ’° Volume: $55,688 Current Odds: β€’ Corum: 62% β€’ Tie: 27% β€’ Erzurum: 13%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%)26.0s
PillarLab
🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ Erzurum vs Corum

Team/PlayerCurrent Odds
Corum62%
Tie27%
Erzurum13%

3 options total

PillarLab

🎯 My Call

Erzurum to win

  • Confidence: πŸ”΄ LOW

⚠️ High risk: bold call. I'm 20 points away from the market on Erzurum (me 33%, them 13%). They're usually right, so if you play this, keep it small.

Corum is being priced like the home side and it's the one traveling.

πŸ‘‰ Buy Corum NO at 38Β’

My fair price is 62Β’, so that's 24Β’ of edge.

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

  • How I'd run it: Small size, since I have no injury or lineup information. I add if lineups confirm Erzurum at full strength and I'm out if a key defender is missing.
OptionMy priceMarket
Corum38Β’62Β’
Tie29Β’27Β’
Erzurum33Β’13Β’

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

  • Erzurum are at home at Kazim Karabekir, and Corum is the team making the trip.
  • Erzurum's last five are L W D W W with home wins of 2-0, 1-0 and 1-0, a tight profile that wins ugly.
  • Erzurum already beat Corum 3-0 on 9/6, which is the freshest meeting between them.
  • Corum's big scores like 5-1 at SAM and 3-0 at Gaziantep don't change that Alanyaspor beat them 2-1 at home on 9/19.
  • What kills it: Corum's attack with Ramirez on 4 goals in his last 10 breaks a low-scoring Erzurum game open.

  • What flips me: Confirmed news that Erzurum's key starters are out would put me on Corum.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
Corum62%βšͺ FAIR
Tie27%βšͺ FAIR
Erzurum13%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 Corum as the clear favorite at 62%, with Tie at 27% and Erzurum at 13%, but no independent spread or moneyline detail was retrieved to cross-check that read, so it is held with limited support.

πŸ“ˆ 2. PillarScore

Corum's last five are W L W W L, with a 5-1 away win at SAM (9/12), a 3-0 win at Gaziantep (10/11), and a 2-1 home win over Rizespor (10/16) offset by a 2-1 home loss to Alanyaspor (9/19). Erzurum's last five are L W D W W, built on low-scoring wins (2-0 home, 1-0 home over SAM and Konyaspor) and a 0-0 at Alanyaspor, with a 3-0 loss at Beşiktaş (9/11). Both recent records are mixed rather than clearly dominant, and the opponent standings are not in the intelligence, so the form read is close.

πŸ₯ 3. Injury Report

No confirmed injury, suspension, or lineup information was found for either side in the gathered intelligence, so no named absences can be checked against the price.

πŸ“± 4. Reddit Sentiment

No Reddit sentiment was retrieved for this fixture, so there is no crowd hype signal to fade or back.

🧠 Off the Record

No framework. Just what I actually think.

The crowd is leaning on Corum's scoreboard: a 5-1 and a 3-0 look great on a screen. But look at who's at home. Erzurum grind out 1-0s and 2-0s, they've already put three past Corum this season, and they've kept clean sheets in most of their recent wins.

The angle nobody is talking about is that Corum's results are streaky. W L W W L is not a team you pay a premium for on the road. One caveat: I have zero injury or lineup info, the research on that was junk, so I'm keeping size small.

I also like that the draw is a real outcome here, because Erzurum's games are low-scoring. That's why I'm not paying up for the home win either. My move: small Erzurum, and I'm happy to grind it if the number is anywhere near a coin flip against Corum.

πŸ”’ 5. Team Stats & Form

Corum's attack has the stronger recent output, with 5-1 and 3-0 away wins and JesΓΊs RamΓ­rez reported at 4 goals in his last 10 games, while Erzurum's wins have been mostly 1-0 and 2-0. Erzurum did beat Corum 3-0 on 9/6 per the dossier, which keeps the matchup from being one-sided.

🌀️ 6. Situational Factors

Corum are the travelling side to KazΔ±m Karabekir Stadyumu while Erzurum are at home, which is the main situational factor in Erzurum's favour. Rest and fixture congestion were not reported.

πŸ”€ 7. Line Movement

No opening-to-current line movement was found in the intelligence, so no steam or reverse move can be identified; the current 62/27/13 split is the only price observed.

⏰ 8. Time Decay

LOW - no injury, lineup, or late-news items were found, so there is no visible pending information that the price is likely to absorb imminently.

⚑ 9. Contrarian Check

The main contrarian risk is that Erzurum's home setting and their 3-0 win over Corum on 9/6 give them a real path to an upset, and a tight low-scoring game would make a Tie or Erzurum result more live than the price suggests.

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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