K League 2

South-Korea

November 1, 25

05:00

...

Main Tip

0 - 1

(50%)

Goals Over/Under: Under 3.5 @ 1.36

Gyeongnam FC vs Seoul E-Land FC - AI Football Prediction for November 1, 25

Our AI-powered preview for the K League 2 clash between Gyeongnam FC and Seoul E-Land FC on November 1, 25 in South-Korea delivers a comprehensive look at both teams' recent form and their head-to-head history. Gyeongnam FC have managed 0 win(s), 1 draw(s), and 4 loss(es) in their last 5 matches, averaging 0.6 goals per game. Meanwhile, Seoul E-Land FC have recorded 4 win(s), 1 draw(s), and 0 loss(es) in the same period, with an average of 2.2 goals per match. Looking at their previous encounters, these teams have faced each other 1 time(s): Gyeongnam FC have won 0, Seoul E-Land FC have won 0, and 1 match(es) ended in a draw. On average, their meetings have produced 2.0 goals per game. Factoring in current form, historical results, and advanced statistical models, our AI provides actionable insights to help you make smarter betting decisions for this match.

Team Performance Metrics

Average Goals per Game

0.60

Average of 0.60 goals scored per match

Average Goals per Game

2.20

Average of 2.20 goals scored per match

Recent Matches

Gyeongnam FC

Seoul E-Land FC

Insights

Won 80% of last 5 matches

Currently on a 3 match win streak

Scored in last 5 match

Highest score in last 5: 4 goals

Goal difference in last 5: +9

Currently unbeaten in the last 5 matches

Averaging 2.2 goals per game in last 5

Head to Head

Prediction Insight

0 - 1

With a balanced 50% probability rating, this prediction offers moderate value. Our analysis reveals mixed but generally positive indicators, including relevant historical patterns and current form metrics. Consider this a calculated opportunity that requires strategic stake management. Key performance indicators suggest potential upside, though market volatility should be factored into betting decisions.

Balanced Value Play

Confidence Level: Moderate

Gyeongnam FC: We predicted 3 correct scores out of the last 9 games (33% accuracy)

Seoul E-Land FC: We predicted 4 correct scores out of the last 9 games (44% accuracy)

50%

Frequently Asked Questions

General, technical, and compliance information about Superior Tips' AI-powered football predictions.

: Superior Tips is a football prediction platform that uses advanced artificial intelligence models to forecast match outcomes. It analyzes data from over 200 leagues worldwide, factoring in recent form, player stats, and team dynamics to generate high-accuracy predictions. These forecasts help users make more informed betting decisions using a data-driven approach.
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: We feed the AI with over 40 parameters per match: team strength, win/loss streaks, player injuries, home/away stats, historical matchups, expected goals (xG), and even weather data. The model then weighs these dynamically to output accurate forecasts.
: xG helps quantify goal-scoring opportunities based on shot quality and position. We integrate xG to better estimate team dominance and attacking efficiency, which improves the reliability of our final predictions.
: Our AI achieves up to 96.8% accuracy on specific match types, tracked using outcome validation against real match results. Accuracy is calculated per market (e.g. match winner, BTTS, over/under) and continuously monitored to improve reliability.
: We use ensemble models, including random forests and gradient boosting, along with neural networks for deeper insights. These models work together to evaluate multiple scenarios and reduce prediction error.
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: Each percentage reflects the model's confidence in a specific outcome (win, draw, loss). A 70% win chance doesn't mean a guaranteed result but indicates strong statistical advantage.
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K League 2

Gyeongnam FC

Seoul E-Land FC

Gyeongnam FC vs Seoul E-Land FC - AI Football Prediction for November 1, 25

Team Performance Metrics

Gyeongnam FC

Seoul E-Land FC

Recent Matches

Gyeongnam FC

Seoul E-Land FC

Insights

Head to Head

Prediction Insight

Frequently Asked Questions

GENERAL

AI & DATA

USER GUIDANCE

COMPLIANCE

TECHNICAL CRAWLABILITY