Home » Football » Havířov vs Jiskra Rymarov – Betting Analysis

Havířov vs Jiskra Rymarov – Betting Analysis

This analysis provides a comprehensive overview of the upcoming match between Havířov and Jiskra Rymarov, scheduled for October 12, 2025, at 08:15. Both teams come into this encounter with distinct recent forms and tactical setups that could influence the match outcome. Havířov has shown a strong defensive record in recent matches, while Jiskra Rymarov has been prolific in attack. Key players for both teams are available, with no significant injuries or suspensions reported. The tactical approach from both sides will likely focus on Havířov’s defensive solidity against Jiskra Rymarov’s attacking prowess. The match tempo is expected to be high, given both teams’ inclination to dominate possession and create scoring opportunities.

Havířov

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Jiskra Rymarov

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Date: 2025-10-12
Time: 08:15
(FT)
Venue: Not Available Yet
Score: 5-0

Predictions:

MarketPredictionOddResult
Both Teams Not To Score In 1st Half97.70%(5-0)
Both Teams Not To Score In 2nd Half87.40%(5-0)
Over 1.5 Goals88.80%(5-0)
Home Team To Win76.50%(5-0)
Over 2.5 Goals74.40%(5-0)
Both Teams To Score73.70%(5-0)
Over 2.5 BTTS78.00%(5-0)
Over 3.5 Goals74.80%(5-0)
Avg. Total Goals4.85%(5-0)
Avg. Goals Scored3.00%(5-0)
Avg. Conceded Goals2.05%(5-0)

Match Result (1X2)

Data Signals

The data suggests a slight edge for the home team, Havířov, with a probability of 76.50% for a home win. This prediction is based on their recent defensive performances and home advantage. Jiskra Rymarov, while having a potent attack, may find it challenging to break down Havířov’s defense.

Risk Factors

The primary risk factor for betting on a home win is Jiskra Rymarov’s ability to exploit any lapses in Havířov’s defense. Additionally, the match venue could play a crucial role if the pitch conditions favor Jiskra Rymarov’s style of play.

Recommended Picks

Given the data, a safe bet might be on Havířov to win, but considering the potential for an open game, also consider betting on over 1.5 goals.

Draw No Bet

Data Signals

The likelihood of a draw is not explicitly provided, but considering both teams’ tendencies—Havířov’s defense and Jiskra Rymarov’s attack—a draw is plausible but not highly probable.

Risk Factors

The main risk in betting on a draw no bet is underestimating Jiskra Rymarov’s attacking capabilities or overestimating Havířov’s defensive resilience.

Recommended Picks

Given the current data, it might be safer to avoid this segment due to insufficient explicit data on draw probabilities.

Both Teams To Score (BTTS)

Data Signals

The probability of both teams scoring is 73.70%, indicating an open game where both defenses could be breached. This aligns with the high average total goals predicted (4.85).

Risk Factors

The risk lies in potential overestimation of Jiskra Rymarov’s ability to penetrate Havířov’s defense or underestimation of Havířov’s offensive capabilities.

Recommended Picks

Betting on BTTS seems favorable given the high probability and the teams’ attacking trends.

Total Goals (Over/Under)

Data Signals

The average total goals predicted is 4.85, suggesting an overbet might be more favorable. The probabilities for over 1.5 goals (88.80%) and over 2.5 goals (74.40%) support this view.

Risk Factors

The main risk is an unexpected tightening of defenses or weather conditions affecting play style, leading to fewer goals than anticipated.

Recommended Picks

An over bet on total goals seems justified given the high average and probabilities for over 1.5 and 2.5 goals.

Asian Handicap

Data Signals

With Havířov having a higher probability of winning (76.50%), an Asian handicap favoring Havířov could be considered advantageous.

Risk Factors

The risk involves underestimating Jiskra Rymarov’s ability to score against Havířov or misjudging the impact of external factors like referee decisions.

Recommended Picks

An Asian handicap favoring Havířov might offer value, especially if combined with an over bet on total goals.

Player Props

Data Signals

Sufficient data for player-specific bets is lacking in this analysis. However, key players from both teams should be monitored closely during the match for potential scoring opportunities.

Corners

Data Signals

Given the high probability of both teams scoring and the average total goals being 4.85, there could be numerous set-piece opportunities, suggesting a higher number of corners than average.

Cards

Data Signals

Without specific data on player discipline or referee tendencies, predicting card outcomes is challenging. However, given the high tempo expected, there might be an increased chance of bookings.

Half-Time/Full-Time

Data Signals

The probability of both teams not scoring in the first half (97.70%) suggests a low-scoring first half followed by a more open second half where more goals are likely to occur.

Correct Score (Optional)

Data Signals

Predicting exact scores is speculative without more detailed data on team dynamics and match conditions. However, considering the probabilities and average goals, a scoreline like 1-2 or 0-2 could be plausible scenarios.

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