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Pogon Szczecin vs Motor Lublin – Betting Analysis

Expert Overview: Pogon Szczecin vs Motor Lublin

The match-up between Pogon Szczecin and Motor Lublin, scheduled for May 14, 2025, at 18:30, promises a tactical contest with modest volatility. Statistical trends point towards a low card count, with fewer than 3 yellow cards and almost negligible risk of a red card. Both teams demonstrate an inclination towards solid but not excessively aggressive play, resulting in a balanced average of 2.93 total goals per match. Home and away scoring patterns suggest tactical caution early in both halves, rising attacking intent after halftime, and a strong possibility for decisive moments after the 73rd minute.

Pogon Szczecin

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Motor Lublin

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Date: 2025-05-14
Time: 18:30
(FT)
Venue: Stadion Miejski im. Floriana Krygiera
Score: 3-0

Predictions:

MarketPredictionOddResult
Under 5.5 Cards77.00%(3-0)
Both Teams Not To Score In 1st Half77.00%(3-0) 1-0 1H 1.20
Both Teams Not To Score In 2nd Half77.00%(3-0) 2-0 2H 1.36
Home Team To Score In 2nd Half73.00%(3-0)
Over 0.5 Goals HT73.00%(3-0) 1-0 1H 1.25
Over 1.5 Goals67.00%(3-0) 1.17
Both Teams Not to Score60.00%(3-0) 2.05
Home Team To Score In 1st Half60.00%(3-0)
Under 4.5 Cards60.00%(3-0)
Home Team To Win60.00%(3-0) 1.38
Away Team To Score In 2nd Half53.00%(3-0)
Away Team To Score In 1st Half53.00%(3-0)
Last Goal 73+ Minutes53.00%(3-0) 76' min 1.83
Over 2.5 Goals53.00%(3-0) 1.53
Avg. Total Goals2.93%(3-0)
Yellow Cards2.00%(3-0)
Avg. Goals Scored1.64%(3-0)
Avg. Conceded Goals1.30%(3-0)
Red Cards0.07%(3-0)

Betting Insights by Category

Cards Market

  • Under 5.5 Cards: 77% | Under 4.5 Cards: 60%
    The game is expected to be disciplined, with a strong statistical trend towards fewer than five cards overall. Bettors might prefer the ‘unders’ on cards, given the consistently low average of yellow (2.00 per match) and a miniscule red card rate (0.07).

Goals Market

  • Over 0.5 Goals HT: 73% | Over 1.5 Goals: 67% | Over 2.5 Goals: 53%
    There is a healthy expectation of goalmouth action. With an average of almost 3 goals per match across recent fixtures, ‘over’ goals bets—especially at the 0.5 and 1.5 thresholds—are well supported. ‘Over 2.5’ is slightly less assured but above 50% probability.
  • Both Teams Not To Score: 60%
    The likelihood is leaning towards at least one team failing to find the net. Cautious opening halves and structured defending are key trends.
  • Both Teams Not To Score In 1st Half: 77% | 2nd Half: 77%
    An even higher chance exists that at least one side draws a blank in both halves. This further supports ‘Both Teams to Score: NO’ markets and low-risk first-half bets.
  • Avg. Goals Scored: 1.64 | Avg. Conceded: 1.30
    Defensive focus is slightly stronger than attacking potency, supporting the moderate projections in goal outcomes.

Team-Specific Scoring

  • Home Team To Score In 2nd Half: 73% | In 1st Half: 60%
    Pogon Szczecin is notably more likely to score after halftime. Their offensive output accelerates later, making 2nd half home goals a strong market.
  • Away Team To Score In 2nd Half: 53% | In 1st Half: 53%
    Motor Lublin appears slightly less reliable, but still presents an even chance to score especially in the latter stages.
  • Last Goal 73+ Minutes: 53%
    Over half of matches see decisive late drama, making an in-play bet on ‘Last Goal After 73:00’ an intriguing option if the match remains close.

Match Outcome Prediction

  • Home Team To Win: 60%
    Pogon Szczecin is statistically favored, backed by stronger home performance metrics and a higher likelihood to score across both halves.

Additional Expert Predictions

  • Low card count expected—favorable for ‘Under X.5 Cards’ markets.
  • Early caution suggested; fewer goals likely in the first half, with action intensifying post-halftime.
  • Home side’s scoring surge in the second half may be decisive.
  • In-play opportunities: look for potential late goals (73+ min) if game is level or tight.
  • ‘Both Teams to Score: No’ and ‘Home Win’ are attractive main markets based on pre-match data.
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