Wisla Krakow
Slask WroclawEkstraklasa | Fri 18 Sep, 19:30
Wisla Krakow v Slask Wroclaw Stats
Data last updated: Thu 17 Sep 2026, 08:15 UK timeMatch Report
Fixture analysis
Wisla Krakow hosts Slask Wroclaw in this Ekstraklasa fixture with clear stakes for both sides. Wisla Krakow, positioned 5th in the league, have shown solid form with 14 points and a balanced attack and defense, while Slask Wroclaw struggle near the bottom with just 6 points and defensive vulnerabilities. Wisla Krakow’s tactical setup emphasizes controlled possession and efficient finishing, contrasting with Slask’s more open style that has led to defensive lapses. This match tests Wisla Krakow’s consistency against a Slask side eager to escape relegation pressure, promising a competitive encounter under Friday night lights.
Wisla Krakow to Win
- Wisla Krakow ranks 5th with 14 points, Slask Wroclaw 15th with 6 points
- Wisla Krakow averages 17.2 shots and 5.0 shots on target per game
- Slask Wroclaw concedes 2 goals per game on average, indicating defensive frailty
- Wisla Krakow’s J. Guillemenot leads with 3.46 shots on target per 90 minutes
- Slask Wroclaw’s A. Ciucka is active with 5 shots and 5 shots on target per 90 minutes
Why The Model Likes This Bet
Chance, price and football numbers
The model assigns a 74% chance for Wisla Krakow to win, reflecting their superior league position, stronger recent form, and more effective attacking output. Wisla Krakow’s average of 17.2 shots per game and a 60% BTTS rate show offensive capability combined with a solid defense conceding just 1 goal per game. Slask Wroclaw’s defensive struggles and lower points tally reinforce the home side’s advantage. The model’s is high, supported by player-level data highlighting Wisla Krakow’s attacking threats like J. Guillemenot, who averages 3.46 shots on target per 90 minutes. This combination of form, stats, and player influence underpins the positive value at current .
Verdict
BT4Y analyst view
Wisla Krakow’s consistent attacking pressure and superior league standing make them the logical pick for victory. Their ability to create and convert chances, combined with Slask Wroclaw’s defensive vulnerabilities, suggests a home win is the most probable outcome in this contest.
Rotation, motivation and a slow tempo are the main cautions before treating the result price as settled.
Quote from Expert
BT4Y analyst view · Match outcome
“Wisla Krakow’s attacking efficiency and defensive solidity provide a clear tactical edge over Slask Wroclaw, whose struggles at the back and lower league position make them vulnerable in this matchup.”
Key Data Signals
Wisla Krakow to Win evidence
Wisla Krakow ranks 5th with 14 points, Slask Wroclaw 15th with 6 points
Wisla Krakow averages 17.2 shots and 5.0 shots on target per game
Slask Wroclaw concedes 2 goals per game on average, indicating defensive frailty
Wisla Krakow’s J. Guillemenot leads with 3.46 shots on target per 90 minutes
What To Watch In The Data
Wisla Krakow to Win notes
- In the last 10 head-to-head meetings, the average goals scored is 2.8, indicating a moderately open fixture with scoring opportunities.
- Wisla Krakow’s 40% Over 2.5 goals rate versus Slask Wroclaw’s 80% suggests Slask’s games tend to be higher scoring, which could influence the tempo and goal expectancy in this match.
Goals, BTTS and over/under
Scoring profile, tempo and goal-market analysis.
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Useful next reads
Market odds
Top available prices first, with more markets available on demand.
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Corners, cards and shots
Territory, discipline and chance-volume data.
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Recent form
Results, scoring balance and short-term direction.
Wisla Krakow
Slask Wroclaw
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Head-to-head
Recent meetings and how much they still matter.
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Player stats
Player-level trends, roles and attacking routes.
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Season team stats
Ekstraklasa
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League standings snapshot
Current table context.
| Pos | Team | Pts | P | W | D | L | GD |
|---|---|---|---|---|---|---|---|
| 5 | Wisla Krakow | 14 | 8 | 4 | 2 | 2 | 4 |
| 15 | Slask Wroclaw | 6 | 8 | 1 | 3 | 4 | -3 |
Key match trends
Goal-pattern analysis from recent form and H2H samples.
Next step
Betting context
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