Jagiellonia 3-1 Slask Wroclaw – Result & Analysis
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Poisson model rates Jagiellonia at 35% — neither recent form nor the head-to-head data gives a clear steer either way as Jagiellonia face Slask Wroclaw.
✍️ Match Preview
Analysis & Preview
Slask Wroclaw travel to Stadion Miejski to take on Jagiellonia in Ekstraklasa (matchday 24). The game is scheduled for Friday 8 March 2024 at 19:30 UK time.
Form Guide
Jagiellonia — last 10 games: 4W 4D 2L, averaging 1.60 points per game. Last five: D W L D L. They are averaging 2.10 goals per game — a high-scoring output that makes them a genuine attacking threat in any fixture. 2 clean sheets from 10 outings (20%). Both teams have scored in 80% of their matches — an extremely high rate that makes BTTS Yes a well-supported standalone angle from their form alone.
In front of their own supporters, Jagiellonia have posted 7W 2D 1L from their last 10 home games — 2.30 PPG. They are averaging 2.40 goals per home game — a prolific scoring rate in front of their own fans. 4 home clean sheets from their last 10 home games (40%) — a solid defensive base on their own ground. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture. Their home PPG of 2.30 is noticeably stronger than their overall 1.60 — Jagiellonia are significantly better at home than their overall form suggests.
Across their last 10 games, Slask Wroclaw have recorded 5W 3D 2L — 1.80 PPG. Last five: W L L D W. Their scoring rate of 0.90 per game is modest, conceding 0.60 — not a side to back heavily on the Over 2.5 from their form alone. Defensively, 0.60 goals conceded per game is elite-level — a side this difficult to score against is a real threat to Over 2.5 and BTTS Yes. 4 clean sheets in 10 outings (40%) underlines their defensive solidity.
Slask Wroclaw away from home: 7W 2D 1L from their last 10 away games — 2.30 PPG on the road. Away from home they average 1.50 goals scored and 0.70 conceded per game. 6 away clean sheets from their last 10 away games (60%) — they are hard to break down on the road.
The form figures are too closely matched to derive a directional pick: Jagiellonia 1.60 PPG, Slask Wroclaw 1.80 PPG. Look to other data sets to build the analysis.
H2H
The H2H picture is flat: the 5 H2H matches we hold have produced 0 wins for Jagiellonia, 1 for Slask Wroclaw and 4 draws. Form and model data should carry more weight here.
These two sides have produced goals at a healthy rate, averaging 3.0 per game across the 5 H2H matches we hold. That scoring profile supports the Over 2.5 angle. The most recent of those, on 3 Sep 2023, ended Jagiellonia 1–2 Slask Wroclaw — a Slask Wroclaw win.
With the win record balanced, the strongest H2H signal is in the goals market — at 3.0 goals per game, Over 2.5 is the cleaner angle from the head-to-head data.
In-Play Profile
Jagiellonia in-play tendencies (last 57 games, 28 of them at home): at least one goal arrives before half-time in 86% of their matches in home games; when goalless at HT, a second-half goal follows 83% of the time; two or more arrive in the second half on 58% of those occasions; of the 19 games they led at half-time, they failed to win 37%; of the 16 games they trailed at half-time, they recovered to draw or win 62%; BTTS occurs in 68% of their matches (home games); Over 2.5 goals lands in 64% of games (home games); Over 3.5 in 37%.
Slask Wroclaw in-play tendencies (last 57 games, 28 of them away): at least one goal arrives before half-time in 64% of their matches in away games; when goalless at HT, a second-half goal follows 68% of the time; of the 16 games they led at half-time, they failed to win 31%; BTTS occurs in 46% of their matches (away games); Over 2.5 goals lands in 32% of games (away games).
From a combined perspective, both sides have high BTTS rates — Jagiellonia 72% and Slask Wroclaw 54% — which reinforces the BTTS Yes angle from in-play data. The over/under 2.5 picture is inconclusive from the in-play data (Jagiellonia 61% | Slask Wroclaw 42%). Note also that Slask Wroclaw surrender HT leads in 31% of cases while Jagiellonia recover from half-time deficits to draw or win 62% of the time — a dynamic that could influence in-play positioning.
Poisson Model
The Poisson distribution model projects Jagiellonia 1.18 xG and Slask Wroclaw 1.13 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Jagiellonia attack 1.124 / defence 0.976 | Slask Wroclaw attack 0.974 / defence 0.708. League average goals — home 1.477 / away 1.188. Slask Wroclaw bring a tight defence (rating 0.708, below 1 = concedes less than average) — this is pulling Jagiellonia's projected output down. Data: built from Jagiellonia's last 57 games and Slask Wroclaw's last 57.
Result probabilities: Jagiellonia 35% | Draw 32% | Slask Wroclaw 33%. Fair-value odds: Jagiellonia 2.85 | Draw 3.11 | Slask Wroclaw 3.05. This is a low-confidence result — no outcome reaches 45%. The draw at 32% is a primary outcome, not an afterthought.
Goals markets: Over 2.5 probability 41% | BTTS Yes probability 49% | Total xG 2.30. Under 2.5 has a narrow probability edge at 59% — total xG of 2.30 is below the line but not decisively so. BTTS No at 51% is only a slight lean — the model gives both sides a fair chance of scoring, so No isn't a clear standalone call.
Our Verdict
Poisson rates Jagiellonia as the most likely outcome at 35% — marginal model lean. With a 32% draw probability, Draw No Bet on Jagiellonia offers a more defensible entry point than the straight win. The opposing side holds a 33% win probability per the model — this is not a banker and should be staked accordingly.
The Poisson model projects 2.30 xG in total — Under 2.5 at 59% — low conviction — though the H2H data averaging 3.0 goals per game across 5 H2H matches points the other way.
On the BTTS market, Poisson puts 51% on No. Form rates are neutral — both teams scored in: Jagiellonia 60% (last 10 home games) | Slask Wroclaw 40% (last 10 away games).
🔮 Your Prediction
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💡 Key Insights
🏟️ Match Context
• Fixture: Jagiellonia vs Slask Wroclaw | Competition: Ekstraklasa, matchday 24 | Venue: Stadion Miejski • Kick-off: Friday 8 March 2024 at 19:30 UK time • Data inputs: head-to-head data, recent form (overall and home/away), the Poisson prediction model and market pricing
📊 Statistical Prediction
• Poisson result probabilities: Jagiellonia 35% | Draw 32% | Slask Wroclaw 33% • Poisson goal markets: Over 2.5 41% (Under 59%) | BTTS Yes 49% (No 51%) | xG Jagiellonia 1.18 / Slask Wroclaw 1.13 • Poisson strength factors: Jagiellonia attack 1.124 / def 0.976 | Slask Wroclaw attack 0.974 / def 0.708 | league avg home 1.477 / away 1.188 • Poisson stance: Jagiellonia (35%) — low confidence — close contest
🧮 Prediction Model
1.18
Jagiellonia xG
Expected Goals
1.13
Slask Wroclaw xG
49%
BTTS
69%
Over 1.5
41%
Over 2.5
20%
Over 3.5
Full score-by-score matrix & model internals in the "Full Poisson Detail" section below ↓
⚠️ This analysis is generated algorithmically from statistical data and is intended for informational purposes only. It does not constitute betting advice. Please gamble responsibly.
❓ Jagiellonia vs Slask Wroclaw FAQs
What time does Jagiellonia vs Slask Wroclaw kick off?
Jagiellonia vs Slask Wroclaw kicked off at 19:30 UK time on Friday 8 March 2024 at Stadion Miejski.
What was the final score in Jagiellonia vs Slask Wroclaw?
Jagiellonia 3 - 1 Slask Wroclaw.
Where is Jagiellonia vs Slask Wroclaw being played?
The match is being played at Stadion Miejski.
What competition is Jagiellonia vs Slask Wroclaw part of?
Jagiellonia vs Slask Wroclaw is a Ekstraklasa fixture (matchday 24) (Poland).
Who is favourite to win Jagiellonia vs Slask Wroclaw?
Our statistical model gives Jagiellonia a 35% chance of winning, Slask Wroclaw a 33% chance, and a 32% chance of a draw — making Jagiellonia the favourite.
Will both teams score in Jagiellonia vs Slask Wroclaw?
Our model estimates a 49% probability that both Jagiellonia and Slask Wroclaw will score, so it leans towards BTTS No (51%).
Will Jagiellonia vs Slask Wroclaw have over 2.5 goals?
Our model puts the probability of over 2.5 goals in this match at 41%, so it leans towards under 2.5 goals (59%).
🧮 Model Insight
Model Mechanics
Jagiellonia's attacking strength (1.12x league average) is weighed against Slask Wroclaw's defensive record (0.71x) to produce a home expected-goals figure of 1.18. The same calculation in reverse, Slask Wroclaw's attack versus Jagiellonia's defence, projects 1.13 expected goals for the visitors.
These ratings are built from Jagiellonia's last 57 games and Slask Wroclaw's last 57 — a full enough recent sample to trust.
Most Likely Scorelines
The model's single most probable exact score is 1-1, at 15.0%. Close behind: 0-0 (11.7%), 1-0 (10.0%). Those top three scorelines alone account for 37% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.
Most Likely Outcome
Jagiellonia Win
35%
2.85
32%
3.11
33%
3.05
Top 3 Most Likely Scorelines
1 – 1
13.2%
Draw
Most likely
1 – 0
11.7%
Home win
0 – 1
11.3%
Away win
Expected Goals & Win Odds
1.18
Jagiellonia xG
Total xG
2.30
1.13
Slask Wroclaw xG
2.85
35%
Home win
3.11
32%
Draw
3.05
33%
Away win
Goals Markets
67%
Over 1.5
1.49
33%
Under 1.5
3.03
41%
Over 2.5
2.44
59%
Under 2.5
1.69
20%
Over 3.5
5.00
80%
Under 3.5
1.25
8%
Over 4.5
12.50
92%
Under 4.5
1.09
Match Markets
Both Teams to Score
49%
BTTS Yes
2.05
51%
BTTS No
1.95
Clean Sheet
32%
3.09
31%
3.24
Win to Nil
11%
8.82
10%
9.89
Score Probability Matrix (%)
| H \ A | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 10.0 | 11.3 | 6.4 | 2.4 | 0.7 | 0.2 |
| 1 | 11.7 | 13.2 | 7.5 | 2.8 | 0.8 | 0.2 |
| 2 | 6.9 | 7.8 | 4.4 | 1.7 | 0.5 | 0.1 |
| 3 | 2.7 | 3.1 | 1.7 | 0.6 | 0.2 | – |
| 4 | 0.8 | 0.9 | 0.5 | 0.2 | 0.1 | – |
| 5 | 0.2 | 0.2 | 0.1 | – | – | – |
Green = home win · Grey = draw · Amber = away win · Outlined cell = most likely score
▶ Model Internals
❓ Jagiellonia vs Slask Wroclaw Prediction FAQs
What is the most likely scoreline for Jagiellonia vs Slask Wroclaw?
Our Poisson model rates 1-1 as the single most likely exact scoreline, at 15.0%.
How many goals are Jagiellonia and Slask Wroclaw expected to score?
The model projects 1.18 expected goals for Jagiellonia and 1.13 for Slask Wroclaw, a combined total of 2.30.
How confident is the prediction model for Jagiellonia vs Slask Wroclaw?
Not very — the model's leading outcome sits at just 35%, meaning this is rated as a genuinely open contest with no dominant favourite.
📈 Form Insight
Where Both Sides Stand
Jagiellonia's recent record stands at 21W 20D 16L from 57 games, a 1.46 PPG return, with D-W-L-D-L in the last five.
Slask Wroclaw, meanwhile, have gone 22W 17D 18L across 57 games — 1.46 PPG, with W-L-L-D-W in their last five.
Form-wise this is close to level: Jagiellonia on 1.46 PPG, Slask Wroclaw on 1.46. Other factors will likely decide this one more than recent results.
Home Ground vs the Road
At home specifically, Jagiellonia have managed 16W 6D 6L from their last 28 home games — 1.93 PPG in front of their own supporters. That's noticeably better than their 1.46 PPG overall — Jagiellonia are a different proposition at home than their general record suggests.
Slask Wroclaw's away record stands at 10W 8D 10L across their last 28 away games, a 1.36 PPG haul.
Comparing the two in their relevant venue splits, Jagiellonia come out ahead — a more targeted read than the overall PPG figures above, since it strips out games played in the opposite context.
The Goals Picture
Jagiellonia are averaging 1.74 goals scored and 1.44 conceded per game recently; Slask Wroclaw are on 1.19 scored and 1.16 conceded.
On BTTS specifically: Jagiellonia have seen both teams score in 72% of their recent games.
Last 57 Results
Current season: same league only · Previous season: all leagues (covers promoted/relegated teams)
Jagiellonia
Blended
Slask Wroclaw
Blended
Jagiellonia (Home) vs Slask Wroclaw (Away)
Home games only for the home side · Away games only for the away side
Jagiellonia
Blended
Slask Wroclaw
Blended
❓ Jagiellonia vs Slask Wroclaw Form FAQs
What form are Jagiellonia and Slask Wroclaw in coming into this match?
Jagiellonia have gone 21W 20D 16L in their last 57 games (1.46 PPG), while Slask Wroclaw have gone 22W 17D 18L in their last 57 (1.46 PPG).
Which team has the better venue record — Jagiellonia at home or Slask Wroclaw away?
Jagiellonia's home record (1.93 PPG) is the stronger of the two venue-specific splits — Jagiellonia at home: 1.93 PPG; Slask Wroclaw away: 1.36 PPG.
⚔️ Rivalry Insight
A Look Back
The head-to-head numbers here are drawn from the 9 H2H matches in our data, going back to November 2021. All of them came in Ekstraklasa. The most recent was as recently as 6 September 2026, so it is a fresh reference point.
Digging Into the Numbers
Jagiellonia's record when hosting Slask Wroclaw specifically: 2W 3D 0L from 5 games — a narrower, venue-specific slice of the head-to-head picture.
Last 9 Meetings
2
Jagiellonia
6
Draws
1
Slask Wroclaw
Recent Meetings
❓ Jagiellonia vs Slask Wroclaw H2H FAQs
What is the head-to-head record between Jagiellonia and Slask Wroclaw?
Across the 9 head-to-head matches in our data, Jagiellonia have won 2, Slask Wroclaw have won 1, and 6 have been drawn.
When did Jagiellonia and Slask Wroclaw last play each other?
The most recent meeting in our data was on 6 September 2026: Jagiellonia 2-1 Slask Wroclaw.
Who has won more matches between Jagiellonia and Slask Wroclaw?
Jagiellonia have the better head-to-head record, with 2 wins from the 9 head-to-head matches in our data.
📈 Trading Insight
Half-Time Trends
Jagiellonia are typically involved in an early goal — the half-time board shows at least one in 86% of their matches. They've gone in front at half-time 43% of the time, though they've let that lead slip 17% of the time they've held it — worth watching if they're only ahead by one. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 75% of those situations.
Slask Wroclaw are typically involved in an early goal — the half-time board shows at least one in 64% of their matches. They've gone in front at half-time 29% of the time, though they've let that lead slip 38% of the time they've held it — worth watching if they're only ahead by one. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 11% of those situations.
The Numbers That Matter
BTTS sits in mixed territory for this pairing — Jagiellonia 68%, Slask Wroclaw 46% — no strong lean either way from the trading data alone.
Over 2.5 has been close to a coin-flip for both sides — 64% (Jagiellonia) and 32% (Slask Wroclaw).
On the defensive side: Slask Wroclaw in 36%; Slask Wroclaw in 29%.
Current season: same league only. Previous season: all leagues (covers promoted/relegated teams). All = any venue | Venue = Jagiellonia home games / Slask Wroclaw away games. HT metrics require half-time score data — shown as — where unavailable.
❓ Jagiellonia vs Slask Wroclaw Trading FAQs
Do both teams usually score in Jagiellonia and Slask Wroclaw matches?
Yes — based on recent matches, both teams have scored in 68% of Jagiellonia's games and 46% of Slask Wroclaw's, a combined rate that favours BTTS Yes.
Are Jagiellonia and Slask Wroclaw matches usually high-scoring?
Not particularly — Over 2.5 goals has come in for only 64% of Jagiellonia's recent games and 32% of Slask Wroclaw's, pointing to a tighter contest.
Do Jagiellonia and Slask Wroclaw matches tend to have early goals?
There has been at least one first-half goal in 86% of Jagiellonia's recent matches and 64% of Slask Wroclaw's — a useful reference point for first-half goal markets.
Jagiellonia cruise to a comfortable 3-1 victory over Slask Wroclaw.
📝 Match Report
How It Unfolded
Jagiellonia beat Slask Wroclaw 3-1 at Stadion Miejski, Regular Season - 24, in the Ekstraklasa. That is the final score; the rest of this report grades it against what the data forecast beforehand.
The Model vs The Result
The Poisson model went into this projecting Jagiellonia 1.18 xG and Slask Wroclaw 1.13 xG, a combined 2.30. The scoreboard read 3-1 for 4 actual goals. Jagiellonia beat their projection by 1.8 — clinical relative to the chances the model priced in. Those figures were built on strength ratings of Jagiellonia attack 1.12 / defence 0.98 against Slask Wroclaw attack 0.97 / defence 0.71, drawn from 57/57 games (CurrentSeason).
On the result, the model split it Jagiellonia 35% | Draw 32% | Slask Wroclaw 33%, with Jagiellonia to win its most likely call at 35%. The scoreboard confirmed the model's leading pick.
Goals & Markets
The model rated Over 2.5 goals at 41%. The game delivered 4, so it went over — a miss for the goals model. Over 1.5 had been 69% and landed. Over 3.5 was 20% and came in. On both teams to score, the model sat at 49% and the match saw both sides score — a miss on BTTS. Historically the two sides average 52% Over 2.5 across their same-competition games (Jagiellonia 61%, Slask Wroclaw 42%), a base rate that agreed with today's over. Their combined BTTS history runs at 63%, which matched the both-scored outcome.
Trading Patterns vs Reality
Jagiellonia's trading profile (57 games, 28 home) set some clear expectations: BTTS lands in 72% of their matches — today it did.
Slask Wroclaw's trading profile (57 games, 28 away) set some clear expectations: BTTS lands in 54% of their matches — today it did.
Form vs Result
The form lines were close — Jagiellonia 1.46 PPG, Slask Wroclaw 1.46 PPG — offering no strong steer, and the Jagiellonia win broke the near-deadlock. Jagiellonia (home/away splits) scored 3 against a 2.07 average — above their attacking norm. Slask Wroclaw (home/away splits) shipped 3 against a 1.18 concession average — a leakier day than usual.
Verdict
Grading the result against the stored data, 1 of 3 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss). A poor return for the projections: the match defied the majority of what the numbers expected.
💡 Key Insights
⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.