Join The Team!
A signing like no other...
Model probabilities for every upcoming K League 1 match — 1X2, BTTS, Over 2.5 & correct score — refreshed daily
Under 2.5 goals 60.6%
Match result
Core markets
Pohang Steelers to win @ 2.38 model 44.6% vs 42% implied +2.6%
Steeler's Away Edge +5.5% for Win
Our model flags a +5.45% value edge for an away victory. Pohang have won 56% of all their games and an impressive 56% when playing away, scoring 1.56 goals per away match. In the last five away outings they secured four wins, netting nine goals while conceding just four. The combination of strong away form and the model’s positive value makes the away win a compelling bet.
Under 2.5 goals 56.3%
Match result
Core markets
Gimcheon Sangmu to win @ 4.33 model 27.9% vs 23.1% implied +4.8%
Home win undervalued by market
Our model shows a -11.3% value edge for a Home Win at 1.8 odds. Gangwon have recorded 3 wins, 1 draw and only 1 loss in their last five matches and are on a four‑game unbeaten streak. They average 1.5 goals per home game (12 goals in 8 home fixtures) and concede just 0.75 per game at home, suggesting the market may be over‑rating the home side.
Seoul to win 58.9%
Match result
Core markets
Bucheon win odds over‑priced
Our model rates Bucheon’s chance to win at about 16%, while the market odds imply a 21% probability – a –5.16% value gap. Bucheon have won only one of their last five home games, drawn three and lost one, and have never led at half‑time at home this season. Their home scoring average is just 0.75 goals per game. Together these factors suggest the home win price is too generous.
No matches for these filters.
Every probability on this page is produced by our AI model. It combines K League 1 team form, expected goals (xG), goal-timing data, head-to-head records and live bookmaker odds to price every outcome of every covered match.
For every fixture we publish the model's strongest call, win/draw/away probabilities, BTTS and Over 2.5 probabilities, the most likely scorelines, and a Value Edge where the model disagrees with the bookmaker's pricing.
Predictions refresh multiple times per day — when fixtures are first published, when odds move materially, and again in the hours before kick-off. The Last Updated stamp above always reflects the most recent refresh.
Each prediction is generated by combining K League 1 team form, expected goals (xG), historical scoring trends, head-to-head data and current bookmaker odds. The model is re-run every few hours, so the K League 1 predictions on this page always reflect the latest market and team data.
BTTS (Both Teams To Score) probability is the model's estimated chance that both sides will score at least one goal in K League 1. A BTTS probability above 60% is treated as a strong signal; below 45% is weak. You can compare BTTS trends across leagues on our BTTS statistics page.
Value Edge is the gap between our AI's probability for an outcome and the bookmaker's implied probability from the odds. A positive Value Edge means the bookmaker is pricing the outcome lower than our model expects, which is what we flag as a value bet in K League 1.
Our model is back-tested on tens of thousands of historical K League 1 matches and is regularly recalibrated. Accuracy varies by market — main result markets sit around industry benchmarks, while BTTS and Over 2.5 markets tend to score higher. No prediction is guaranteed; we recommend pairing them with our value bets and dropping odds tools before staking.
Predictions refresh multiple times per day — when fixtures are first published, when bookmaker odds move materially, and again in the hours before kick-off. The Last Updated timestamp at the top of the page reflects the most recent refresh.
Yes. The top insight for every fixture is free to view. OddAlerts Pro members also get access to additional insights per match, custom filters, and the full AI match report.
Betting Guides Value Bets Football Trends Corner Predictions Correct Score Form Guide xG Stats Custom Filters
OddAlerts is a football analytics platform providing AI-powered predictions since 2020. Our prediction model is developed by sports data scientists and continuously refined using machine learning techniques. We analyze over 100,000 matches annually across 2,500+ leagues to provide the most accurate and valuable insights. Discover trends, explore custom filters, or join thousands using our alert system.