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Oman vs Nepal

Sports Β· Kalshi Β· Called YES, verified LOSS Β· Oct 19, 2026
View the original Kalshi market →
Verified Outcome
LOSS
PillarLab called Oman to win (YES @ 56%).
Result: Oman did not win. The call was wrong. Final result: Nepal won.
Analyzed: Oct 19, 2026, 12:45 PM UTC
Market resolved: Oct 19, 2026, 1:56 PM UTC
Called 1h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxodimatch/oman-vs-nepal/KXODIMATCH-26OCT190200NEPOMA?utm_source=kalshiapp_eventdetails

PillarLab
πŸ“‘ Fetching Kalshi data...
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βœ… Got data from Kalshi API!0.7s
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πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: BINARY πŸ“Š Market: Oman vs Nepal πŸ“… Date: 2026-10-19T06:00:00.000Z πŸ’° Volume: $893,159 Current Odds: β€’ Oman: 56% β€’ Nepal: 44%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%)26.7s
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🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
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πŸ“Š Market Summary

⚽ Oman vs Nepal

Team/PlayerCurrent Odds
Oman56%
Nepal44%

2 options total

PillarLab

🎯 My Call

Oman to win

  • Confidence: 🟑 MEDIUM

Oman are playing at home, sitting above Nepal in the table and holding the head-to-head lead, and the crowd is not paying for that.

πŸ‘‰ Buy Oman YES at 56Β’

My fair price is 62Β’, so that's 6Β’ of edge.

  • How I'd run it: Normal size, since the form data is patchy and the sources disagree on the recent Nepal results. I add if the confirmed Oman XI has no missing key bowler, and I get out if team news shows Oman short on the front-line attack.
OptionMy priceMarket
Oman62Β’56Β’
Nepal38Β’44Β’

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

  • Oman sit 4th with 31 points from 28 matches while Nepal are 7th on 24 from 32, so Oman have been the more consistent side over the league campaign.
  • They play at Al Amerat, which the preview calls a real advantage, and home conditions are the one edge here that is not in dispute.
  • Oman lead the head-to-head 6 wins to 5 across 12 ODIs, and Hasnain Ul Wahab's 93 off 77 against Canada on 9 October shows they can post a big total.
  • Nepal's recent results are contradictory across the sources, so I'm not paying up for their last win against Oman when the margin claimed is 81, 87 or 113.
  • What kills it: Nepal have beaten Oman by big margins in their recent meetings, so one good batting day from them beats the home ground.

  • What flips me: Confirmed news that Oman's main wicket-taker or Ul Wahab is out of the lineup would flip me to Nepal.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
Oman56%βšͺ FAIR
Nepal44%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 independent price for this fixture; the only available numbers are the 56% Oman / 44% Nepal market prices, with no line movement visible, which is typical for a League 2 ODI.

πŸ“ˆ 2. PillarScore

Recent form is mixed and partly contradictory: Oman beat Canada by 41 runs on 9 October, while the sources disagree on Nepal's last result (one says they beat Canada by 24 runs on 11 October, another says they lost to Canada by 24 on 17 October), so Nepal's current form cannot be read cleanly, and the sample is thin.

πŸ₯ 3. Injury Report

No injury, suspension, or fitness news for either side appears in the intelligence, so this pillar is neutral.

πŸ“± 4. Reddit Sentiment

No Reddit sentiment data is available for this fixture, so there is no crowd-hype signal to read.

🧠 Off the Record

No framework. Just what I actually think.

Honest read: the research is a mess. The sources disagree on Nepal's last result against Canada, on the margin of their last win over Oman, and even on whether one of the widgets is this fixture at all. I'm not building a thesis on the 113-run number or the 81-run number because I can't tie either to a date.

What I can trust is the table and the venue. Oman are 4th on 31 points from 28, Nepal are 7th on 24 from 32, and Oman are playing at Al Amerat. Head-to-head sits at 6 to 5 for Oman with a no-result. Oman also just put 263 on the board against Canada and won by 41, which tells me their batting is in shape.

The crowd sees Nepal's recent wins over Oman and assumes the rivalry is one-way. I see a team that has to win away from the table's stronger side, playing into a home crowd backing a side currently 4th in the table. I'm buying Oman, normal size. If I get Oman team news that takes out their best bowler, I'm out.

πŸ”’ 5. Team Stats & Form

Head-to-head favours Nepal in the recent meetings: Nepal won by 87 runs in the September ACC Men's Premier Cup semi-final and by 81 runs in a prior League 2 meeting, while Oman lead the overall ODI record 6-5 with one no-result.

🌀️ 6. Situational Factors

Oman have home advantage at Al Amerat, which the preview cites, and Nepal arrive with a contested last result, so the situational edge leans to Oman.

πŸ”€ 7. Line Movement

No line movement history is available, so there is no evidence of sharp money on either side.

⏰ 8. Time Decay

LOW - the sources conflict on Nepal's latest result and no team news is published, so there is no clear pending information that the price has yet to absorb.

⚑ 9. Contrarian Check

The main contrarian risk is that the recent head-to-head run against Oman is Nepal's strongest signal, and the market's home-side lean may be overweighting venue while underweighting that pattern.

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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
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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