Ekstraliga Women

Poland

August 31, 25

0 - 1

Main Tip

1 - 2

or? - ?

(16%)

Pogon Tczew W vs UKS Łódź - AI Football Prediction for August 31, 25

Our AI-powered preview for the Ekstraliga Women clash between Pogon Tczew W and UKS Łódź on August 31, 25 in Poland delivers a comprehensive look at both teams' recent form and their head-to-head history. Pogon Tczew W have managed 0 win(s), 1 draw(s), and 4 loss(es) in their last 5 matches, averaging 0.2 goals per game. Meanwhile, UKS Łódź have recorded 2 win(s), 1 draw(s), and 2 loss(es) in the same period, with an average of 1.8 goals per match. Looking at their previous encounters, these teams have faced each other 0 time(s): Pogon Tczew W have won 0, UKS Łódź have won 0, and 0 match(es) ended in a draw. On average, their meetings have produced 0.0 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

0.20

Average of 0.20 goals scored per match

Average Goals per Game

1.80

Average of 1.80 goals scored per match

Recent Matches

Pogon Tczew W

UKS Łódź

Insights

Highest score in last 5: 4 goals

Prediction Insight

1 - 2

or? - ?

Our analysis indicates significant uncertainty with only a 16% probability rating. While this outcome remains possible, current metrics and historical patterns show limited statistical support. Multiple risk factors are present, including unfavorable matchup dynamics and inconsistent performance indicators. We recommend extreme caution or seeking alternative betting opportunities.

High-Risk Scenario

Confidence Level: Very Low

Pogon Tczew W: We predicted 1 correct scores out of the last 3 games (33% accuracy)

16%

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.
: The model adapts in real-time to data like confirmed injuries, lineup changes, and match-day conditions. This ensures the most up-to-date forecasts for every fixture.
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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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: Our xG section shows the likelihood of each team scoring based on shot quality, attacking positions, and past performance. It helps users understand whether a team is underperforming or overperforming relative to expected output.
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Ekstraliga Women

Pogon Tczew W

UKS Łódź

Pogon Tczew W vs UKS Łódź - AI Football Prediction for August 31, 25

Team Performance Metrics

Pogon Tczew W

UKS Łódź

Recent Matches

Pogon Tczew W

UKS Łódź

Insights

Prediction Insight

Frequently Asked Questions

GENERAL

AI & DATA

USER GUIDANCE

COMPLIANCE

TECHNICAL CRAWLABILITY