June 3, 2026 KBO board has 2 same-day Polymarket winner markets after official schedule verification. We rank every game by model-versus-market gap, show the market price, Naly estimate, expected-run read, confidence, and linked news checks. The strongest edge is SSG Landers at 67% against the market baseline.
- The article uses the same mispricing workflow as the finance roundups: market prior, Naly fair value, explicit edge, and a negative-case test for each event.
- SSG Landers is the strongest same-day KBO disagreement at 67% Naly probability and +19 pp versus Polymarket.
- Every matchup section includes its own Polymarket link, official KBO data references, and related news checks.
- Low-confidence edges stay in the article because they are useful for calibration, but they should not be read as strong calls.
2 Mispricings at a Glance
Lotte Giants at Kia Tigers
Why we disagree: KIA Tigers prices at 57% on Polymarket, but the KBO run-environment model lands at 70% after official hitting, pitching, schedule, and news checks (+12 pp).
Kiwoom Heroes at SSG Landers
Why we disagree: SSG Landers prices at 48% on Polymarket, but the KBO run-environment model lands at 67% after official hitting, pitching, schedule, and news checks (+19 pp).
How to read this: Polymarket Top Answer and Naly Top Answer show the final answer each side sees as most likely. Max Payout if Correct shows the gross upside from the current quote to the $1 settlement if the selected contract side wins. The horizontal graph still shows where that selected side sits on a 0c to $1 range for Polymarket versus Naly.
Lotte Giants at Kia Tigers
KIA Tigers prices at 57% on Polymarket, but the KBO run-environment model lands at 70% after official hitting, pitching, schedule, and news checks (+12 pp).
Causal Chain
Key Factors
| Factor | |
|---|---|
| Expected-run read: KIA Tigers 5.32, Lotte Giants 3.7. | |
| Polymarket implies 57%; Naly estimates 70%, leaving +12 pp of fair-value gap. | |
| Official KBO hitting and pitching tables feed the offensive and run-prevention baseline before news is applied. | |
| No high-signal external news item was returned by the configured crawler for this matchup. |
Bayesian Calculation
Alternative explanation: Polymarket may be correctly pricing starting-pitcher, bullpen, or lineup information that the public KBO team tables and news crawl have not captured yet.
Fresh Checks
Kiwoom Heroes at SSG Landers
SSG Landers prices at 48% on Polymarket, but the KBO run-environment model lands at 67% after official hitting, pitching, schedule, and news checks (+19 pp).
Causal Chain
Key Factors
| Factor | |
|---|---|
| Expected-run read: SSG Landers 5.6, Kiwoom Heroes 4.06. | |
| Polymarket implies 48%; Naly estimates 67%, leaving +19 pp of fair-value gap. | |
| Official KBO hitting and pitching tables feed the offensive and run-prevention baseline before news is applied. | |
| No high-signal external news item was returned by the configured crawler for this matchup. |
Bayesian Calculation
Alternative explanation: Polymarket may be correctly pricing starting-pitcher, bullpen, or lineup information that the public KBO team tables and news crawl have not captured yet.
Fresh Checks
Data and source notes
- Official KBO team hitting table was used for runs per game and offensive context.
- Official KBO team pitching table was used for ERA, WHIP, runs allowed, and strikeout/walk context.
- Official KBO schedule data was used to reject stale Polymarket markets that are still marked active after a game has completed.
- Polymarket prices were used as the market-implied baseline and section-level market link for each matchup.
- News snippets were used as a small adjustment only when they clearly referred to injuries, returns, starters, or availability.
Conclusion
The highest-information checks before first pitch are lineup confirmation, starting-pitcher confirmation, bullpen availability, and whether any injury item changes the expected-run baseline. The article should be judged after settlement by whether the hypothesis identified the right side of the market disagreement, not by whether every low-confidence pick won.
Methodology
We treat Polymarket as the market-implied prior, then update with official KBO schedule, team hitting, team pitching, expected runs, home field, and public news. Each event keeps the same finance-article structure: explicit market disagreement, causal chain, key factors, Bayesian adjustment, alternative explanation, and a wrong-case test. The result is stored for post-game calibration.
Disclaimer
This is a prediction article, not betting advice. The pipeline is built for transparent article production and post-game learning, not automated trading.
