K League

K League predictions

AI predictions, fixtures and verified results

Explore AI-generated 1X2 probabilities, the complete K League calendar and historical performance by stability level.

Foresportia transparency

1X2 performance by stability level

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Verifiable history

Success-rate trend — Stable and above

Insufficient sample5 verified matches
Monthly 1X2 prediction success-rate trendMonthly lines can be filtered by stability level. Values and sample sizes are also available in the accessible table.
Monthly 1X2 performance data
PeriodProfileRateVolume
February 2025Correct and aboveInsufficient sample0
March 2025Correct and aboveInsufficient sample0
April 2025Correct and aboveInsufficient sample0
May 2025Correct and aboveInsufficient sample0
June 2025Correct and aboveInsufficient sample1
July 2025Correct and aboveInsufficient sample3
August 2025Correct and aboveInsufficient sample6
September 2025Correct and aboveInsufficient sample7
October 2025Correct and aboveInsufficient sample9
November 2025Correct and above60%15
February 2026Correct and above62.5%16
March 2026Correct and above63.2%19
April 2026Correct and above61.9%21
May 2026Correct and above63.6%22
July 2026Correct and above60.9%23
August 2026Correct and above60.9%23
February 2025Stable and aboveInsufficient sample0
March 2025Stable and aboveInsufficient sample0
April 2025Stable and aboveInsufficient sample0
May 2025Stable and aboveInsufficient sample0
June 2025Stable and aboveInsufficient sample0
July 2025Stable and aboveInsufficient sample0
August 2025Stable and aboveInsufficient sample1
September 2025Stable and aboveInsufficient sample1
October 2025Stable and aboveInsufficient sample2
November 2025Stable and aboveInsufficient sample4
February 2026Stable and aboveInsufficient sample4
March 2026Stable and aboveInsufficient sample4
April 2026Stable and aboveInsufficient sample4
May 2026Stable and aboveInsufficient sample5
July 2026Stable and aboveInsufficient sample5
August 2026Stable and aboveInsufficient sample5
February 2025Ultra stableInsufficient sample0
March 2025Ultra stableInsufficient sample0
April 2025Ultra stableInsufficient sample0
May 2025Ultra stableInsufficient sample0
June 2025Ultra stableInsufficient sample0
July 2025Ultra stableInsufficient sample0
August 2025Ultra stableInsufficient sample0
September 2025Ultra stableInsufficient sample0
October 2025Ultra stableInsufficient sample0
November 2025Ultra stableInsufficient sample0
February 2026Ultra stableInsufficient sample0
March 2026Ultra stableInsufficient sample0
April 2026Ultra stableInsufficient sample0
May 2026Ultra stableInsufficient sample0
July 2026Ultra stableInsufficient sample0
August 2026Ultra stableInsufficient sample0

Explore fixtures

Match calendar

Choose a day to view its fixtures, results and available predictions.

August 2026

Fixture onlyPrediction availableResult available
MTWTFSS
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Choose a day to view its fixtures, results and available predictions.

Calendar updated

Understand the competition

All about K League predictions

K League predictions: AI probabilities and 1X2 reading

Foresportia publishes 1X2 probabilities for K League. They quantify home win, draw and away win outcomes; they never claim certainty. Every attested match link in the calendar opens its dedicated analysis page.

K League reliability and stability badges

The three displayed scopes are explicit: Correct and above, Stable and above, and Ultra stable only. Rates always appear with their verified sample size. These badges apply only to 1X2, not automatically to BTTS, totals, double chance or DNB.

K League calendar and upcoming fixtures

The server-rendered calendar currently contains 61 listed matches. Each active date distinguishes fixture-only information, an available prediction or a verified result.

K League standings and team pages

The table reconstructed from Foresportia results currently contains 12 teams and is rendered next to the calendar. Team names link only to team pages attested by the Foresportia registry.

BTTS, Over/Under, double chance, DNB and likely score

Additional markets may be available on match pages. They complement the 1X2 view but use their own definitions and are never assigned a 1X2 stability badge implicitly.

Archived results for verifiability

The lifetime performance block is computed from 365 settled matches in the league history, with monthly cumulative snapshots. Predictions are compared with real scores and remain accessible from the verified-results page.

FAQ – K League AI predictions

Where can I find today's reliable, free K League predictions?

This page gathers the AI K League predictions from Foresportia: 1X2 probabilities, likely score, goal markets (BTTS, Over/Under) and a stability badge for every match, no sign-up. The full history is verifiable on the past results page.

How good is an “Ultra stable” prediction in K League?

The stability badge rates each prediction on how clear the favourite is and how clean the context (stakes, rotation, derby). The more stable the badge, the more often the prediction lands.

Are there BTTS and Over/Under predictions for K League too?

Yes. For every match the model estimates the probability that both teams score (BTTS) and that the game goes over or under 2.5 goals, on top of 1X2 and double chance. Over the 2026 season, the model's Over/Under 2.5 side in High performance mode landed 56% of the time and its favourite double chance in Ultra high performance mode landed 72.5% of the time.

How is the most likely correct score computed?

The model simulates each team's goal distribution (calibrated Poisson/lambda) and derives the five most likely scores of the match. Over the 2026 season, the final score was in that top 5 for 54% of K League matches.

What do the 1X2 probabilities mean?

For each match three probabilities are estimated: home win (1), draw (X) and away win (2). They sum to 100%. A 60% probability means that, over many similar matches, the outcome would occur about 6 times out of 10.

Can an AI predict a K League match with certainty?

No. Football is a low-scoring sport where randomness is structural. A serious AI quantifies that uncertainty instead of hiding it: that's the whole point of probabilities and the stability badge.