Jagiellonia 1-1 Slask Wroclaw – Result & Analysis
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Poisson rates Jagiellonia at 58% — current form provides partial corroboration, though signals are mixed in this Jagiellonia vs Slask Wroclaw encounter.
✍️ Match Preview
Analysis & Preview
A Ekstraklasa encounter, Regular Season - 31 sees Slask Wroclaw travel to Stadion Miejski to take on Jagiellonia. The game is scheduled for Friday 5 May 2023, 17:00 UTC.
Form Guide
Jagiellonia — All Games: 4W 4D 2L from 10 Ekstraklasa outings this season, averaging 1.60 points per game. Last five: D W L W W. Offensively they are averaging 1.60 goals per game, with 1.20 conceded. 2 clean sheets from 10 outings provides some defensive foundation. 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 this season, Jagiellonia have posted 5W 2D 3L at Stadion Miejski — 1.70 PPG. At home they are averaging 1.90 goals scored and 1.50 conceded per game. Both teams have scored in 80% of their home games — an outstanding BTTS rate that is a key data point for this fixture.
Across all Ekstraklasa games this season, Slask Wroclaw have recorded 1W 3D 6L from 10 outings — 0.60 PPG. Last five: D L L L L. Their scoring rate of 0.60 per game is modest, conceding 1.50 — not a side to back heavily on the Over 2.5 from their form alone. 1 clean sheet from 10 outings suggests some defensive organisation.
Slask Wroclaw away from home this season: 2W 2D 6L from 10 away games — 0.80 PPG on the road. Away from home they average 0.70 goals scored and 1.50 conceded per game.
Jagiellonia are in the better shape of the two on current Ekstraklasa data — 1.00 PPG ahead (1.60 vs 0.60). That form margin is the baseline of a sensible selection even before other signals are layered in.
H2H
The rivalry is an even one: 0 wins apiece for Jagiellonia, 0 for Slask Wroclaw and 3 shared spoils from 3 past contests. Neither side holds a meaningful historical edge.
Goals have been a feature of this fixture. The last 3 meetings have averaged 3.3 per game — a rate that gives the Over 2.5 market a solid historical foundation. The most recent clash, on 23 Oct 2022, ended 2–2 with a draw.
With the win record balanced, the strongest H2H-derived signal is in the goals market. At 3.3 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.
In-Play Profile
Jagiellonia in-play tendencies (64 games, 32 at home): they score before half-time in 69% of fixtures in home games; when goalless at HT, a second-half goal follows 88% of the time; two or more arrive in the second half on 68% of those occasions; BTTS occurs in 69% of their matches (home games); Over 2.5 goals lands in 56% of games (home games).
Slask Wroclaw in-play tendencies (64 games, 32 at away): they score before half-time in 66% of fixtures in away games; when goalless at HT, a second-half goal follows 68% of the time; BTTS occurs in 59% of their matches (away games); Over 2.5 goals lands in 41% of games (away games); they fail to score in 34% of games.
From a combined perspective, both sides have high BTTS rates — Jagiellonia 67% and Slask Wroclaw 59% — which reinforces the BTTS Yes angle from in-play data. The over/under 2.5 picture is inconclusive from the in-play data (Jagiellonia 53% | Slask Wroclaw 44%).
Poisson Model
The Poisson distribution model projects Jagiellonia 1.82 xG and Slask Wroclaw 0.89 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 1.253 / defence 1.079 | Slask Wroclaw attack 0.798 / defence 1.114. League average goals — home 1.304 / away 1.033. Jagiellonia carry an above-average attack strength of 1.253 — their λ of 1.82 reflects genuine attacking quality above the league norm. Data: 64 Jagiellonia games / 64 Slask Wroclaw games used (CurrentSeason).
Result probabilities: Jagiellonia 58% | Draw 25% | Slask Wroclaw 17%. Fair-value odds: Jagiellonia 1.72 | Draw 4.00 | Slask Wroclaw 5.88. The model has a clear lean to Jagiellonia (58%) — a 41pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.
Goals markets: Over 2.5 probability 51% | BTTS probability 50% | Total xG 2.71. Over/Under 2.5 is close to a coin-flip at 51%/49% — the total xG of 2.71 sits near the 2.5 margin; this is a low-edge market from a Poisson standpoint. BTTS probability of 50% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.
Our Verdict
Poisson rates Jagiellonia as the most likely outcome at 58% — clear model lean. Current-season form corroborates the Poisson lean — partial multi-source support. Draw No Bet is worth pricing alongside the outright: 25% draw probability makes the stalemate a live outcome even at this conviction level.
The Poisson model projects 2.71 xG in total — Over 2.5 at 51% — strong confidence, supported by form averaging 2.8 goals per game and H2H averaging 3.3 goals per meeting.
On the BTTS market, Poisson puts 50% on Yes. Form rates corroborate: Jagiellonia 80% | Slask Wroclaw 40% BTTS from recent games.
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💡 Key Insights
🏟️ Match Context
• Fixture: Jagiellonia vs Slask Wroclaw | Competition: Ekstraklasa, Regular Season - 31 | Venue: Stadion Miejski • Kick-off: Friday 5 May 2023, 17:00 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing
📊 Statistical Prediction
• Poisson result probabilities: Jagiellonia 58% | Draw 25% | Slask Wroclaw 17% • Poisson goal markets: Over 2.5 51% | BTTS 50% | xG Jagiellonia 1.82 / Slask Wroclaw 0.89 • Poisson strength factors: Jagiellonia attack 1.253 / def 1.079 | Slask Wroclaw attack 0.798 / def 1.114 | league avg home 1.304 / away 1.033 • Poisson stance: Jagiellonia (58%) — strong lean
🧮 Prediction Model
1.82
Jagiellonia xG
Expected Goals
0.89
Slask Wroclaw xG
50%
BTTS
76%
Over 1.5
51%
Over 2.5
29%
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.
❓ Frequently Asked Questions
What time does Jagiellonia vs Slask Wroclaw kick off?
Jagiellonia vs Slask Wroclaw kicked off at 17:00 on Friday 5 May 2023 at Stadion Miejski.
What was the final score in Jagiellonia vs Slask Wroclaw?
Jagiellonia 1 - 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 Regular Season - 31 fixture in the Ekstraklasa (Poland).
Who is favourite to win Jagiellonia vs Slask Wroclaw?
Our statistical model gives Jagiellonia a 58% chance of winning, Slask Wroclaw a 17% chance, and a 25% chance of a draw — making Jagiellonia the favourite.
Will both teams score in Jagiellonia vs Slask Wroclaw?
Our model estimates a 50% probability that both Jagiellonia and Slask Wroclaw will score (BTTS).
Will Jagiellonia vs Slask Wroclaw have over 2.5 goals?
Our model puts the probability of over 2.5 goals in this match at 51%.
What is the head-to-head record between Jagiellonia and Slask Wroclaw?
Record (3 meetings): Jagiellonia 0W | Draws 3 | Slask Wroclaw 0W.
What form are Jagiellonia and Slask Wroclaw in?
Jagiellonia (all comps): 4W-4D-2L in 10 | 1.60 PPG | GF 1.60 / GA 1.20 | L5 D-W-L-W-W. Slask Wroclaw (all comps): 1W-3D-6L in 10 | 0.60 PPG | GF 0.60 / GA 1.50 | L5 D-L-L-L-L.
🧮 Model Insight
Model Mechanics
Jagiellonia's attacking strength (1.25x league average) is weighed against Slask Wroclaw's defensive record (1.11x) to produce a home expected-goals figure of 1.82. The same calculation in reverse, Slask Wroclaw's attack versus Jagiellonia's defence, projects 0.89 expected goals for the visitors.
These ratings are built from 64/64 games of current-season data — a full enough sample to trust.
Most Likely Scorelines
The model's single most probable exact score is 1-1, at 12.2%. Close behind: 2-0 (11.0%), 1-0 (10.7%). Those top three scorelines alone account for 34% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.
Most Likely Outcome
Jagiellonia Win
58%
1.72
25%
4.01
17%
5.93
Top 3 Most Likely Scorelines
1 – 0
12.1%
Home win
Most likely
2 – 0
11.0%
Home win
1 – 1
10.8%
Draw
Expected Goals & Win Odds
1.82
Jagiellonia xG
Total xG
2.71
0.89
Slask Wroclaw xG
1.72
58%
Home win
4.01
25%
Draw
5.93
17%
Away win
Goals Markets
75%
Over 1.5
1.33
25%
Under 1.5
4.00
51%
Over 2.5
1.96
49%
Under 2.5
2.04
29%
Over 3.5
3.45
71%
Under 3.5
1.41
14%
Over 4.5
7.14
86%
Under 4.5
1.16
Match Markets
Both Teams to Score
50%
BTTS Yes
1.98
50%
BTTS No
2.02
Clean Sheet
41%
2.43
16%
6.17
Win to Nil
24%
4.18
3%
36.61
Score Probability Matrix (%)
| H \ A | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 6.7 | 5.9 | 2.6 | 0.8 | 0.2 | – |
| 1 | 12.1 | 10.8 | 4.8 | 1.4 | 0.3 | 0.1 |
| 2 | 11.0 | 9.8 | 4.4 | 1.3 | 0.3 | 0.1 |
| 3 | 6.7 | 5.9 | 2.6 | 0.8 | 0.2 | – |
| 4 | 3.0 | 2.7 | 1.2 | 0.4 | 0.1 | – |
| 5 | 1.1 | 1.0 | 0.4 | 0.1 | – | – |
Green = home win · Grey = draw · Amber = away win · Outlined cell = most likely score
▶ Model Internals
❓ Frequently Asked Questions
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 12.2%.
How many goals are Jagiellonia and Slask Wroclaw expected to score?
The model projects 1.82 expected goals for Jagiellonia and 0.89 for Slask Wroclaw, a combined total of 2.71.
How confident is the prediction model for Jagiellonia vs Slask Wroclaw?
Reasonably confident — the model's leading outcome is rated at 58%, a clear lean rather than a toss-up.
📈 Form Insight
Where Both Sides Stand
Jagiellonia's recent record stands at 18W 25D 21L from 64 games, a 1.23 PPG return, with D-W-L-W-W in the last five.
Slask Wroclaw, meanwhile, have gone 14W 24D 26L across 64 games — 1.03 PPG, with D-L-L-L-L in their last five.
Form-wise this is close to level: Jagiellonia on 1.23 PPG, Slask Wroclaw on 1.03. Other factors will likely decide this one more than recent results.
Home Ground vs the Road
At home specifically, Jagiellonia have managed 13W 10D 9L from 32 games — 1.53 PPG in front of their own supporters.
Slask Wroclaw's away record stands at 7W 10D 15L across 32 trips, a 0.97 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 1.31 goals scored and 1.41 conceded per game recently; Slask Wroclaw are on 1.06 scored and 1.45 conceded.
On BTTS specifically: Jagiellonia have seen both teams score in 67% of their recent games.
Last 64 Results — Ekstraklasa
Current season: same league only · Previous season: all leagues (covers promoted/relegated teams)
Jagiellonia
Current Season
Slask Wroclaw
Current Season
❓ Frequently Asked Questions
What form are Jagiellonia and Slask Wroclaw in coming into this match?
Jagiellonia have gone 18W 25D 21L in their last 64 games (1.23 PPG), while Slask Wroclaw have gone 14W 24D 26L in their last 64 (1.03 PPG).
Which team has the better venue record — Jagiellonia at home or Slask Wroclaw away?
Jagiellonia's home record (1.53 PPG) is the stronger of the two venue-specific splits — Jagiellonia at home: 1.53 PPG; Slask Wroclaw away: 0.97 PPG.
⚔️ Rivalry Insight
A Look Back
The fixture history between Jagiellonia and Slask Wroclaw runs to 8 recorded meetings, the earliest dating back to November 2021. Every recorded meeting has come in Ekstraklasa. It has been a while since the last meeting — 16 May 2025, some 3 years back — so squads and form on both sides may look very different now.
Digging Into the Numbers
The last 2 meetings have all been drawn — an unusually settled recent run for this fixture.
Jagiellonia's record when hosting Slask Wroclaw specifically: 1W 3D 0L from 4 games — a narrower, venue-specific slice of the head-to-head picture.
Last 8 Meetings
1
Jagiellonia
6
Draws
1
Slask Wroclaw
Recent Meetings
❓ Frequently Asked Questions
What is the head-to-head record between Jagiellonia and Slask Wroclaw?
From 8 meetings on record, Jagiellonia have won 1, Slask Wroclaw have won 1, and 6 have been drawn.
When did Jagiellonia and Slask Wroclaw last play each other?
They last met on 16 May 2025, when Slask Wroclaw 1-1 Jagiellonia.
📈 Trading Insight
Half-Time Trends
Jagiellonia are typically involved in an early goal — the half-time board shows at least one in 69% of their matches. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 12% of those situations.
Slask Wroclaw are typically involved in an early goal — the half-time board shows at least one in 66% of their matches.
The Numbers That Matter
BTTS sits in mixed territory for this pairing — Jagiellonia 69%, Slask Wroclaw 59% — no strong lean either way from the trading data alone.
Over 2.5 has been close to a coin-flip for both sides — 56% (Jagiellonia) and 41% (Slask Wroclaw).
On the defensive side: Slask Wroclaw in 31%.
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.
❓ Frequently Asked Questions
Do both teams usually score when Jagiellonia play Slask Wroclaw?
Yes — based on recent matches, both teams have scored in 69% of Jagiellonia's games and 59% of Slask Wroclaw's, a combined rate that favours BTTS Yes.
Is Jagiellonia vs Slask Wroclaw usually a high-scoring fixture?
Not particularly — Over 2.5 goals has come in for only 56% of Jagiellonia's recent games and 41% of Slask Wroclaw's, pointing to a tighter contest.
Do Jagiellonia and Slask Wroclaw tend to score early?
Jagiellonia have had a goal before half-time in 69% of their recent matches, Slask Wroclaw in 66% — a useful reference point for first-half goal markets.
Jagiellonia and Slask Wroclaw share the spoils in a 1-1 draw.
📝 Match Report
How It Unfolded
The points were shared at Stadion Miejski, Regular Season - 31, as Jagiellonia and Slask Wroclaw drew 1-1 in the Ekstraklasa. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.
The Model vs The Result
The Poisson model went into this projecting Jagiellonia 1.82 xG and Slask Wroclaw 0.89 xG, a combined 2.71. The scoreboard read 1-1 for 2 actual goals. Jagiellonia fell 0.8 short of their projected output. Those figures were built on strength ratings of Jagiellonia attack 1.25 / defence 1.08 against Slask Wroclaw attack 0.80 / defence 1.11, drawn from 64/64 games (CurrentSeason).
On the result, the model split it Jagiellonia 58% | Draw 25% | Slask Wroclaw 17%, with Jagiellonia to win its most likely call at 58%. Instead the game produced a draw, an outcome the model had rated at just 25% — a clear break from expectation and a genuine upset by the numbers.
Goals & Markets
The model rated Over 2.5 goals at 51%. The game delivered 2, so it stayed under — the opposite of the projected direction. Over 1.5 had been 76% and landed. On both teams to score, the model sat at 50% and the match saw both sides score — another call in the model's favour. Historically the two sides average 48% Over 2.5 across their same-competition games (Jagiellonia 53%, Slask Wroclaw 44%), a base rate that agreed with today's under. Their combined BTTS history runs at 63%, which matched the both-scored outcome.
Trading Patterns vs Reality
Jagiellonia's trading profile (64 games, 32 home) set some clear expectations: BTTS lands in 67% of their matches — today it did.
Slask Wroclaw's trading profile (64 games, 32 away) set some clear expectations: BTTS lands in 59% of their matches — today it did.
Form vs Result
The form lines were close — Jagiellonia 1.23 PPG, Slask Wroclaw 1.03 PPG — offering no strong steer, and the draw fit that even billing.
Verdict
Grading the result against the stored data, 1 of 3 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (hit). The data was on the wrong side of this result more often than not — a reminder that a single match sits well inside the model's variance.
💡 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.