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Jagiellonia 0-0 Piast Gliwice – Result & Analysis

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Ekstraklasa · Regular Season - 16

Kick-off

Fri 24 Nov 2023

19:30

Venue

Stadion Miejski

Competition

Ekstraklasa

Poland

Status

FT
💬 Comment 📝 Notes
📋

Poisson rates Jagiellonia at 65% — recent form provides partial corroboration, though signals are mixed in this Jagiellonia vs Piast Gliwice encounter.

✍️ Match Preview

Analysis & Preview

Piast Gliwice travel to Stadion Miejski to take on Jagiellonia in Ekstraklasa (matchday 16). The game is scheduled for Friday 24 November 2023 at 19:30 UK time.

Form Analysis

Looking at their last 10 matches, Jagiellonia stand at 5W 3D 2L — 1.80 PPG. Last five: W D L W D. They are averaging 2.50 goals per game — a high-scoring output that makes them a genuine attacking threat in any fixture. 3 clean sheets from 10 outings (30%). Both teams have scored in 70% of their games — a high BTTS rate that carries real weight in the goals markets.

Jagiellonia's home record over their last 10 home games: 8W 2D 0L (2.60 PPG). They are averaging 2.70 goals per home game — a prolific scoring rate in front of their own fans. Both teams have scored in 70% of their home games — an outstanding BTTS rate that is a key data point for this fixture. Their home PPG of 2.60 is noticeably stronger than their overall 1.80 — Jagiellonia are significantly better at home than their overall form suggests.

Piast Gliwice — last 10 games: 1W 8D 1L — 1.10 PPG. Last five: D D D D D. Their scoring rate of 1.00 per game is modest, conceding 1.00 — not a side to back heavily on the Over 2.5 from their form alone. 3 clean sheets from 10 outings (30%). Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market.

On the road, Piast Gliwice have gone 1W 8D 1L in their last 10 away fixtures (1.10 PPG). Away from home they average 0.90 goals scored and 0.90 conceded per game. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context.

On current form, Jagiellonia have the edge — a 0.70 PPG advantage (1.80 vs 1.10) represents a meaningful gap. That momentum makes them the form-based pick, though if the outright price looks short, Draw No Bet is worth comparing.

The BTTS market is worth targeting here. Both teams have scored in 70% of Jagiellonia's games and 60% of Piast Gliwice's (from Jagiellonia's last 10 home games and Piast Gliwice's last 10 away games) — both sides above the 60% threshold gives BTTS Yes firm statistical grounding.

H2H

The H2H picture is flat: the 4 H2H matches we hold have produced 1 wins for Jagiellonia, 1 for Piast Gliwice and 2 draws. Form and model data should carry more weight here.

These two sides have produced goals at a healthy rate, averaging 3.2 per game across the 4 H2H matches we hold. That scoring profile supports the Over 2.5 angle. The most recent of those, on 29 Jan 2023, ended Jagiellonia 1–1 Piast Gliwice — a draw.

With the win record balanced, the strongest H2H signal is in the goals market — at 3.2 goals per game, Over 2.5 is the cleaner angle from the head-to-head data.

In-Play Data

Jagiellonia trading profile (last 49 games, 24 of them at home): at least one goal arrives before half-time in 88% of their matches in home games; when goalless at HT, a second-half goal follows 91% of the time; two or more arrive in the second half on 64% of those occasions; of the 16 games they led at half-time, they failed to win 38%; of the 13 games they trailed at half-time, they recovered to draw or win 69%; BTTS occurs in 67% of their matches (home games); Over 2.5 goals lands in 67% of games (home games); Over 3.5 in 37%.

Piast Gliwice trading profile (last 49 games, 24 of them away): at least one goal arrives before half-time in 67% of their matches in away games; when goalless at HT, a second-half goal follows 70% of the time; of the 13 games they led at half-time, they failed to win 31%; of the 10 games they trailed at half-time, they recovered to draw or win 30%; BTTS occurs in 46% of their matches (away games); Over 2.5 goals lands in 17% of games (away games); they fail to score in 35% of games.

BTTS rates are mixed from the trading data — Jagiellonia 69% versus Piast Gliwice 47%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Jagiellonia 59% | Piast Gliwice 26%). There is an in-play dynamic worth noting: Jagiellonia surrender their half-time lead 38% of the time, while Piast Gliwice have come from behind at the break to draw or win in 30% of cases — a combination that makes laying the hosts at HT a potential angle. Note also that Piast Gliwice surrender HT leads in 31% of cases while Jagiellonia recover from half-time deficits to draw or win 69% of the time — a dynamic that could influence in-play positioning.

Poisson Model

The Poisson distribution model projects Jagiellonia 2.14 xG and Piast Gliwice 0.86 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 1.532 / defence 0.779 | Piast Gliwice attack 0.948 / defence 0.969. League average goals — home 1.442 / away 1.160. Jagiellonia carry an above-average attack rating of 1.532 — their 2.14 xG reflects attacking quality above the league norm. Jagiellonia have a tight defence (rating 0.779), which is pulling Piast Gliwice's projected output down. Data: built from Jagiellonia's last 49 games and Piast Gliwice's last 49.

Result probabilities: Jagiellonia 65% | Draw 22% | Piast Gliwice 12%. Fair-value odds: Jagiellonia 1.53 | Draw 4.48 | Piast Gliwice 8.11. The model has a clear lean to Jagiellonia (65%) — a 43pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.

Goals markets: Over 2.5 probability 58% | BTTS Yes probability 52% | Total xG 3.00. Over 2.5 holds a meaningful probability edge at 58% — the 3.00 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 52% is only a slight lean — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Summary & Verdict

The Poisson model's primary lean is Jagiellonia at 65% — clear model lean. Recent form corroborates the Poisson lean — partial multi-source support. Draw No Bet is worth pricing alongside the outright: 22% draw probability makes the stalemate a live outcome even at this conviction level.

On the goals line, Poisson's 3.00 combined xG gives a 58% probability to Over 2.5 — reasonable conviction, supported by the H2H data averaging 3.2 goals per game across 4 H2H matches.

Poisson assigns a 52% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate — both teams scored in: Jagiellonia 70% (last 10 home games) | Piast Gliwice 60% (last 10 away games).

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💡 Key Insights

H2H The H2H record is evenly balanced (Jagiellonia 1W, 2D, Piast Gliwice 1W from the 4 H2H matches in our data), with no clear advantage.
Goals H2H (3.25 goals/game across 4 H2H matches) and Poisson xG (3.00) both back Over 2.5 goals (58% Poisson probability).
BTTS H2H BTTS 75% and Poisson BTTS Yes 52% — two-way scoring is backed by both the H2H data and the model.
Form Jagiellonia lead on PPG: 1.80 vs 1.10 — stronger form across the last 10 games.
Form Jagiellonia Poisson xG (2.14) is below their recent form scoring rate (2.70 over their last 10 home games) — against this opponent, the model expects less than their recent scoring rate.
BTTS BTTS Yes is supported by both form (Jagiellonia 7/10 home, Piast Gliwice 6/10 away) and the Poisson model (BTTS Yes 52%).
Form Form and Poisson model both favour Jagiellonia — Jagiellonia at 65% win probability.
Prediction Poisson model strongly favours Jagiellonia at 65% home win probability.

🏟️ Match Context

• Fixture: Jagiellonia vs Piast Gliwice | Competition: Ekstraklasa, matchday 16 | Venue: Stadion Miejski • Kick-off: Friday 24 November 2023 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 65% | Draw 22% | Piast Gliwice 12% • Poisson goal markets: Over 2.5 58% (Under 42%) | BTTS Yes 52% (No 48%) | xG Jagiellonia 2.14 / Piast Gliwice 0.86 • Poisson strength factors: Jagiellonia attack 1.532 / def 0.779 | Piast Gliwice attack 0.948 / def 0.969 | league avg home 1.442 / away 1.160 • Poisson stance: Jagiellonia (65%) — strong lean

🧮 Prediction Model

2.14

Jagiellonia xG

Expected Goals

0.86

Piast Gliwice xG

65%
22%
Jagiellonia Draw Piast Gliwice

52%

BTTS

82%

Over 1.5

58%

Over 2.5

35%

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 Piast Gliwice FAQs

What time does Jagiellonia vs Piast Gliwice kick off?

Jagiellonia vs Piast Gliwice kicked off at 19:30 UK time on Friday 24 November 2023 at Stadion Miejski.

What was the final score in Jagiellonia vs Piast Gliwice?

Jagiellonia 0 - 0 Piast Gliwice.

Where is Jagiellonia vs Piast Gliwice being played?

The match is being played at Stadion Miejski.

What competition is Jagiellonia vs Piast Gliwice part of?

Jagiellonia vs Piast Gliwice is a Ekstraklasa fixture (matchday 16) (Poland).

Who is favourite to win Jagiellonia vs Piast Gliwice?

Our statistical model gives Jagiellonia a 65% chance of winning, Piast Gliwice a 12% chance, and a 22% chance of a draw — making Jagiellonia the favourite.

Will both teams score in Jagiellonia vs Piast Gliwice?

Our model estimates a 52% probability that both Jagiellonia and Piast Gliwice will score, so it leans towards BTTS Yes.

Will Jagiellonia vs Piast Gliwice have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 58%, so it leans towards over 2.5 goals.

🧮 Model Insight

Model Mechanics

Jagiellonia's attacking strength (1.53x league average) is weighed against Piast Gliwice's defensive record (0.97x) to produce a home expected-goals figure of 2.14. The same calculation in reverse, Piast Gliwice's attack versus Jagiellonia's defence, projects 0.86 expected goals for the visitors.

These ratings are built from Jagiellonia's last 49 games and Piast Gliwice's last 49 — a full enough recent sample to trust.

Most Likely Scorelines

The model's single most probable exact score is 2-0, at 11.4%. Close behind: 1-1 (10.3%), 2-1 (9.8%). Those top three scorelines alone account for 32% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.

Most Likely Outcome

Jagiellonia Win

65%

Jagiellonia

1.53

22%

Draw

4.48

12%

Piast Gliwice

8.11

Top 3 Most Likely Scorelines

2 – 0

11.4%

Home win

Most likely

1 – 0

10.7%

Home win

2 – 1

9.8%

Home win

Expected Goals & Win Odds

2.14

Jagiellonia xG

Total xG

3.00

0.86

Piast Gliwice xG

65%
22%
12%
JagielloniaDrawPiast Gliwice

1.53

65%

Home win

4.48

22%

Draw

8.11

12%

Away win

Goals Markets

80%

Over 1.5

1.25

20%

Under 1.5

5.00

58%

Over 2.5

1.72

42%

Under 2.5

2.38

35%

Over 3.5

2.86

65%

Under 3.5

1.54

18%

Over 4.5

5.56

82%

Under 4.5

1.22

Match Markets

Both Teams to Score

52%

BTTS Yes

1.91

48%

BTTS No

2.10

Clean Sheet

42%

Jagiellonia

2.36

12%

Piast Gliwice

8.51

Win to Nil

28%

Jagiellonia

3.61

1%

Piast Gliwice

69.00

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 5.0 4.3 1.8 0.5 0.1 –
1 10.7 9.2 3.9 1.1 0.2 –
2 11.4 9.8 4.2 1.2 0.3 –
3 8.2 7.0 3.0 0.9 0.2 –
4 4.4 3.7 1.6 0.5 0.1 –
5 1.9 1.6 0.7 0.2 – –

Green = home win Β· Grey = draw Β· Amber = away win Β· Outlined cell = most likely score

▶ Model Internals
λ Home (xG) 2.141
λ Away (xG) 0.857
Total xG 2.998
League avg home goals 1.442
League avg away goals 1.160
Jagiellonia attack strength 1.532
Jagiellonia defence strength 0.779
Piast Gliwice attack strength 0.948
Piast Gliwice defence strength 0.969
Data phase CurrentSeason
Games used (H/A) 49 / 49

❓ Jagiellonia vs Piast Gliwice Prediction FAQs

What is the most likely scoreline for Jagiellonia vs Piast Gliwice?

Our Poisson model rates 2-0 as the single most likely exact scoreline, at 11.4%.

How many goals are Jagiellonia and Piast Gliwice expected to score?

The model projects 2.14 expected goals for Jagiellonia and 0.86 for Piast Gliwice, a combined total of 3.00.

How confident is the prediction model for Jagiellonia vs Piast Gliwice?

Reasonably confident — the model's leading outcome is rated at 65%, a clear lean rather than a toss-up.

📈 Form Insight

Where Both Sides Stand

Across their last 49 outings, Jagiellonia have picked up 1.45 PPG on a 18W 17D 14L record — W-D-L-W-D across the most recent five.

Piast Gliwice's form line: 16W 19D 14L from 49 games, 1.37 PPG, last five D-D-D-D-D.

Form-wise this is close to level: Jagiellonia on 1.45 PPG, Piast Gliwice on 1.37. Other factors will likely decide this one more than recent results.

Home Ground vs the Road

On home soil, Jagiellonia have posted 2.04 PPG from their last 24 home games (15W 4D 5L). That's noticeably better than their 1.45 PPG overall — Jagiellonia are a different proposition at home than their general record suggests.

On the road, Piast Gliwice have gone 8W 11D 5L from their last 24 away games — 1.46 PPG when travelling.

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 1.71 goals scored and 1.43 conceded per game recently; Piast Gliwice are on 1.04 scored and 0.94 conceded.

On BTTS specifically: Jagiellonia have seen both teams score in 69% of their recent games.

Last 49 Results

Current season: same league only · Previous season: all leagues (covers promoted/relegated teams)

Jagiellonia

Jagiellonia

Blended
W D L W D
Piast Gliwice

Piast Gliwice

Blended
D D D D D
49 Played 49
18/17/14 W / D / L 16/19/14
1.45 Points Per Game 1.37
1.71 Avg Goals Scored 1.04
1.43 Avg Goals Conceded 0.94
3.14 Avg Goals / Game 1.98
9 Clean Sheets 15
34 BTTS 23
29 Over 2.5 Games 13
Jagiellonia

Jagiellonia

D
A Korona Kielce
2–2 HT 0–1
11 Nov
W
H Stal Mielec
4–0 HT 2–0
03 Nov
L
A Pogon Szczecin
1–2 HT 1–1
28 Oct
D
A Lech Poznan
3–3 HT 0–2
24 Oct
W
H Zaglebie Lubin
3–0 HT 2–0
20 Oct
W
A Cracovia Krakow
4–2 HT 2–0
08 Oct
W
H Legia Warszawa
2–0 HT 2–0
01 Oct
D
A ŁKS Łódź
2–2 HT 1–1
22 Sep
W
H Radomiak Radom
3–2 HT 2–2
17 Sep
L
A Slask Wroclaw
1–2 HT 0–0
03 Sep
W
H Gornik Zabrze
4–1 HT 3–1
27 Aug
W
A Ruch Chorzów
1–0 HT 0–0
19 Aug
W
H Widzew Łódź
2–1 HT 0–1
04 Aug
W
H Puszcza Niepołomice
4–1 HT 1–0
29 Jul
L
A Raków Częstochowa
0–3 HT 0–1
22 Jul
L
A Lech Poznan
0–2 HT 0–1
27 May
D
H Cracovia Krakow
1–1 HT 1–0
20 May
L
A Legia Warszawa
1–5 HT 1–1
12 May
D
H Slask Wroclaw
1–1 HT 0–1
05 May
W
H Warta Poznań
3–1 HT 3–0
29 Apr
W
A Wisla Plock
4–2 HT 1–2
21 Apr
L
A Korona Kielce
1–2 HT 1–0
15 Apr
W
H Lechia Gdansk
1–0 HT 0–0
10 Apr
D
A Stal Mielec
1–1 HT 1–0
03 Apr
D
H Zaglebie Lubin
2–2 HT 0–1
18 Mar
W
H Gornik Zabrze
2–1 HT 2–1
11 Mar
D
A Miedz Legnica
1–1 HT 1–1
05 Mar
L
H Raków Częstochowa
1–2 HT 1–1
24 Feb
D
A Radomiak Radom
0–0 HT 0–0
20 Feb
W
H Pogon Szczecin
2–0 HT 0–0
11 Feb
D
A Widzew Łódź
1–1 HT 0–0
03 Feb
D
A Piast Gliwice
1–1 HT 0–0
29 Jan
L
H Lech Poznan
1–2 HT 1–1
12 Nov
L
A Cracovia Krakow
0–1 HT 0–0
05 Nov
L
H Legia Warszawa
2–5 HT 1–3
29 Oct
D
A Slask Wroclaw
2–2 HT 1–1
23 Oct
L
A Warta Poznań
0–2 HT 0–0
15 Oct
D
H Wisla Plock
1–1 HT 0–1
07 Oct
W
H Korona Kielce
4–1 HT 1–1
02 Oct
D
A Lechia Gdansk
2–2 HT 1–0
17 Sep
W
H Stal Mielec
4–0 HT 3–0
12 Sep
D
A Zaglebie Lubin
1–1 HT 0–0
04 Sep
D
A Gornik Zabrze
1–1 HT 1–0
26 Aug
W
H Miedz Legnica
2–1 HT 0–1
19 Aug
D
A Raków Częstochowa
2–2 HT 0–2
14 Aug
L
H Radomiak Radom
1–2 HT 1–0
06 Aug
L
A Pogon Szczecin
0–1 HT 0–1
31 Jul
L
H Widzew Łódź
0–2 HT 0–0
22 Jul
W
H Piast Gliwice
2–0 HT 1–0
16 Jul
Piast Gliwice

Piast Gliwice

D
A ŁKS Łódź
3–3 HT 3–1
11 Nov
D
H Korona Kielce
0–0 HT 0–0
03 Nov
D
A Warta Poznań
1–1 HT 1–1
28 Oct
D
H Pogon Szczecin
0–0 HT 0–0
20 Oct
D
A Zaglebie Lubin
1–1 HT 0–1
07 Oct
W
H Widzew Łódź
3–2 HT 2–0
29 Sep
L
A Slask Wroclaw
0–1 HT 0–1
23 Sep
D
H Legia Warszawa
1–1 HT 1–0
16 Sep
D
A Radomiak Radom
1–1 HT 0–0
02 Sep
D
H Ruch Chorzów
0–0 HT 0–0
26 Aug
D
A Cracovia Krakow
1–1 HT 0–1
21 Aug
W
H Raków Częstochowa
2–1 HT 0–0
11 Aug
D
A Gornik Zabrze
0–0 HT 0–0
05 Aug
D
A Stal Mielec
0–0 HT 0–0
30 Jul
L
H Lech Poznan
1–2 HT 1–0
22 Jul
L
H Lechia Gdansk
0–1 HT 0–1
27 May
D
A Warta Poznań
1–1 HT 1–1
22 May
W
H Korona Kielce
2–1 HT 0–0
12 May
W
A Radomiak Radom
1–0 HT 1–0
06 May
D
H Pogon Szczecin
0–0 HT 0–0
29 Apr
W
A Widzew Łódź
3–2 HT 2–0
23 Apr
W
H Wisla Plock
1–0 HT 1–0
16 Apr
W
A Slask Wroclaw
1–0 HT 0–0
06 Apr
W
H Gornik Zabrze
1–0 HT 1–0
31 Mar
W
A Miedz Legnica
1–0 HT 1–0
19 Mar
D
H Lech Poznan
1–1 HT 0–0
12 Mar
W
A Stal Mielec
2–0 HT 0–0
03 Mar
W
H Cracovia Krakow
2–1 HT 0–0
25 Feb
L
H Legia Warszawa
0–1 HT 0–0
19 Feb
W
A Zaglebie Lubin
2–0 HT 2–0
12 Feb
L
A Raków Częstochowa
0–1 HT 0–1
04 Feb
D
H Jagiellonia
1–1 HT 0–0
29 Jan
W
A Lechia Gdansk
3–1 HT 1–0
13 Nov
L
H Warta Poznań
0–2 HT 0–1
05 Nov
D
A Korona Kielce
1–1 HT 0–1
29 Oct
L
H Radomiak Radom
1–2 HT 1–1
24 Oct
D
A Pogon Szczecin
1–1 HT 1–0
15 Oct
L
H Widzew Łódź
1–2 HT 0–1
10 Oct
L
H Raków Częstochowa
0–1 HT 0–0
06 Oct
L
A Wisla Plock
0–1 HT 0–0
30 Sep
D
H Slask Wroclaw
1–1 HT 1–1
16 Sep
D
A Gornik Zabrze
3–3 HT 2–2
10 Sep
W
H Miedz Legnica
2–1 HT 1–1
05 Sep
L
A Lech Poznan
0–1 HT 0–1
28 Aug
W
H Stal Mielec
4–0 HT 1–0
21 Aug
W
A Cracovia Krakow
1–0 HT 0–0
13 Aug
L
A Legia Warszawa
0–2 HT 0–0
05 Aug
L
H Zaglebie Lubin
0–1 HT 0–0
29 Jul
L
A Jagiellonia
0–2 HT 0–1
16 Jul

Jagiellonia (Home) vs Piast Gliwice (Away)

Home games only for the home side · Away games only for the away side

Jagiellonia

Jagiellonia

Blended
W W W W W
Piast Gliwice

Piast Gliwice

Blended
D L D D D
24 Played 24
15/4/5 W / D / L 8/11/5
2.04 Points Per Game 1.46
2.17 Avg Goals Scored 1.12
1.12 Avg Goals Conceded 0.92
3.29 Avg Goals / Game 2.04
7 Clean Sheets 8
16 BTTS 11
16 Over 2.5 Games 4
Jagiellonia

Jagiellonia — Home

W
Stal Mielec
4–0 HT 2–0
03 Nov
W
Zaglebie Lubin
3–0 HT 2–0
20 Oct
W
Legia Warszawa
2–0 HT 2–0
01 Oct
W
Radomiak Radom
3–2 HT 2–2
17 Sep
W
Gornik Zabrze
4–1 HT 3–1
27 Aug
W
Widzew Łódź
2–1 HT 0–1
04 Aug
W
Puszcza Niepołomice
4–1 HT 1–0
29 Jul
D
Cracovia Krakow
1–1 HT 1–0
20 May
D
Slask Wroclaw
1–1 HT 0–1
05 May
W
Warta Poznań
3–1 HT 3–0
29 Apr
W
Lechia Gdansk
1–0 HT 0–0
10 Apr
D
Zaglebie Lubin
2–2 HT 0–1
18 Mar
W
Gornik Zabrze
2–1 HT 2–1
11 Mar
L
Raków Częstochowa
1–2 HT 1–1
24 Feb
W
Pogon Szczecin
2–0 HT 0–0
11 Feb
L
Lech Poznan
1–2 HT 1–1
12 Nov
L
Legia Warszawa
2–5 HT 1–3
29 Oct
D
Wisla Plock
1–1 HT 0–1
07 Oct
W
Korona Kielce
4–1 HT 1–1
02 Oct
W
Stal Mielec
4–0 HT 3–0
12 Sep
W
Miedz Legnica
2–1 HT 0–1
19 Aug
L
Radomiak Radom
1–2 HT 1–0
06 Aug
L
Widzew Łódź
0–2 HT 0–0
22 Jul
W
Piast Gliwice
2–0 HT 1–0
16 Jul
Piast Gliwice

Piast Gliwice — Away

D
ŁKS Łódź
3–3 HT 3–1
11 Nov
D
Warta Poznań
1–1 HT 1–1
28 Oct
D
Zaglebie Lubin
1–1 HT 0–1
07 Oct
L
Slask Wroclaw
0–1 HT 0–1
23 Sep
D
Radomiak Radom
1–1 HT 0–0
02 Sep
D
Cracovia Krakow
1–1 HT 0–1
21 Aug
D
Gornik Zabrze
0–0 HT 0–0
05 Aug
D
Stal Mielec
0–0 HT 0–0
30 Jul
D
Warta Poznań
1–1 HT 1–1
22 May
W
Radomiak Radom
1–0 HT 1–0
06 May
W
Widzew Łódź
3–2 HT 2–0
23 Apr
W
Slask Wroclaw
1–0 HT 0–0
06 Apr
W
Miedz Legnica
1–0 HT 1–0
19 Mar
W
Stal Mielec
2–0 HT 0–0
03 Mar
W
Zaglebie Lubin
2–0 HT 2–0
12 Feb
L
Raków Częstochowa
0–1 HT 0–1
04 Feb
W
Lechia Gdansk
3–1 HT 1–0
13 Nov
D
Korona Kielce
1–1 HT 0–1
29 Oct
D
Pogon Szczecin
1–1 HT 1–0
15 Oct
L
Wisla Plock
0–1 HT 0–0
30 Sep
D
Gornik Zabrze
3–3 HT 2–2
10 Sep
L
Lech Poznan
0–1 HT 0–1
28 Aug
W
Cracovia Krakow
1–0 HT 0–0
13 Aug
L
Legia Warszawa
0–2 HT 0–0
05 Aug

❓ Jagiellonia vs Piast Gliwice Form FAQs

What form are Jagiellonia and Piast Gliwice in coming into this match?

Jagiellonia have gone 18W 17D 14L in their last 49 games (1.45 PPG), while Piast Gliwice have gone 16W 19D 14L in their last 49 (1.37 PPG).

Which team has the better venue record — Jagiellonia at home or Piast Gliwice away?

Jagiellonia's home record (2.04 PPG) is the stronger of the two venue-specific splits — Jagiellonia at home: 2.04 PPG; Piast Gliwice away: 1.46 PPG.

Have Jagiellonia or Piast Gliwice been keeping clean sheets recently?

Jagiellonia have kept a clean sheet in 18% of their recent games, Piast Gliwice in 31%.

⚔️ Rivalry Insight

A Look Back

The head-to-head numbers here are drawn from the 10 H2H matches in our data, going back to October 2021. All of them came in Ekstraklasa. The most recent was on 14 March 2026, roughly 8 months ago.

Digging Into the Numbers

Jagiellonia's record when hosting Piast Gliwice specifically: 1W 3D 1L from 5 games — a narrower, venue-specific slice of the head-to-head picture.

Last 10 Meetings

Jagiellonia

2

Jagiellonia

6

Draws

Piast Gliwice

2

Piast Gliwice

Recent Meetings

Jagiellonia
1–2
14 Mar 26
Piast Gliwice
Piast Gliwice
1–1
13 Sep 25
Jagiellonia
Jagiellonia
1–1
06 Apr 25
Piast Gliwice
Piast Gliwice
0–1
29 Sep 24
Jagiellonia
Piast Gliwice
1–1
18 May 24
Jagiellonia
Jagiellonia
0–0
24 Nov 23
Piast Gliwice
Piast Gliwice
1–1
29 Jan 23
Jagiellonia
Jagiellonia
2–0
16 Jul 22
Piast Gliwice
Piast Gliwice
2–1
23 Apr 22
Jagiellonia
Jagiellonia
3–3
30 Oct 21
Piast Gliwice

❓ Jagiellonia vs Piast Gliwice H2H FAQs

What is the head-to-head record between Jagiellonia and Piast Gliwice?

Across the 10 head-to-head matches in our data, Jagiellonia have won 2, Piast Gliwice have won 2, and 6 have been drawn.

When did Jagiellonia and Piast Gliwice last play each other?

The most recent meeting in our data was on 14 March 2026: Jagiellonia 1-2 Piast Gliwice.

📈 Trading Insight

Half-Time Trends

Jagiellonia are typically involved in an early goal — the half-time board shows at least one in 88% of their matches. They've gone in front at half-time 46% of the time, though they've let that lead slip 18% 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 83% of those situations.

Piast Gliwice are typically involved in an early goal — the half-time board shows at least one in 67% of their matches. They've gone in front at half-time 29% of the time, though they've let that lead slip 29% 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 50% of those situations.

The Numbers That Matter

BTTS sits in mixed territory for this pairing — Jagiellonia 67%, Piast Gliwice 46% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 67% (Jagiellonia) and 17% (Piast Gliwice).

On the defensive side: Piast Gliwice in 33%; Piast Gliwice in 29%.

📈

Current season: same league only. Previous season: all leagues (covers promoted/relegated teams). All = any venue  |  Venue = Jagiellonia home games / Piast Gliwice away games. HT metrics require half-time score data β€” shown as β€” where unavailable.

Jagiellonia Jagiellonia Blended
Metric All
(49 games)
Venue
(24 games)
Half-Time Metrics
1+ Goal Before HT 38/49
(77.6%)
21/24
(87.5%)
2+ Goals Before HT 21/49
(42.9%)
12/24
(50%)
0-0 HT → 1+ Goal 2nd Half 10/11
(90.9%)
3/3
(100%)
0-0 HT → 2+ Goals 2nd Half 7/11
(63.6%)
2/3
(66.7%)
Winning at HT 16/49
(32.7%)
11/24
(45.8%)
Lost Lead (Win HT → No Win FT) 6/16
(37.5%)
2/11
(18.2%)
Came From Behind (Lose HT → Draw/Win FT) 9/13
(69.2%)
5/6
(83.3%)
Full-Time Metrics
BTTS 34/49
(69.4%)
16/24
(66.7%)
Over 2.5 Goals 29/49
(59.2%)
16/24
(66.7%)
Over 3.5 Goals 18/49
(36.7%)
9/24
(37.5%)
Clean Sheet 9/49
(18.4%)
7/24
(29.2%)
Failed to Score 7/49
(14.3%)
1/24
(4.2%)
Piast Gliwice Piast Gliwice Blended
Metric All
(49 games)
Venue
(24 games)
Half-Time Metrics
1+ Goal Before HT 29/49
(59.2%)
16/24
(66.7%)
2+ Goals Before HT 10/49
(20.4%)
6/24
(25%)
0-0 HT → 1+ Goal 2nd Half 14/20
(70%)
6/8
(75%)
0-0 HT → 2+ Goals 2nd Half 8/20
(40%)
3/8
(37.5%)
Winning at HT 13/49
(26.5%)
7/24
(29.2%)
Lost Lead (Win HT → No Win FT) 4/13
(30.8%)
2/7
(28.6%)
Came From Behind (Lose HT → Draw/Win FT) 3/10
(30%)
3/6
(50%)
Full-Time Metrics
BTTS 23/49
(46.9%)
11/24
(45.8%)
Over 2.5 Goals 13/49
(26.5%)
4/24
(16.7%)
Over 3.5 Goals 6/49
(12.2%)
4/24
(16.7%)
Clean Sheet 15/49
(30.6%)
8/24
(33.3%)
Failed to Score 17/49
(34.7%)
7/24
(29.2%)

❓ Jagiellonia vs Piast Gliwice Trading FAQs

Do both teams usually score in Jagiellonia and Piast Gliwice matches?

Yes — based on recent matches, both teams have scored in 67% of Jagiellonia's games and 46% of Piast Gliwice's, a combined rate that favours BTTS Yes.

Are Jagiellonia and Piast Gliwice matches usually high-scoring?

Not particularly — Over 2.5 goals has come in for only 67% of Jagiellonia's recent games and 17% of Piast Gliwice's, pointing to a tighter contest.

Do Jagiellonia and Piast Gliwice matches tend to have early goals?

There has been at least one first-half goal in 88% of Jagiellonia's recent matches and 67% of Piast Gliwice's — a useful reference point for first-half goal markets.

📰

Stalemate at Jagiellonia's ground as both sides cancel each other out in a goalless draw.

📝 Match Report

How It Unfolded

The points were shared at Stadion Miejski, Regular Season - 16, as Jagiellonia and Piast Gliwice drew 0-0 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 2.14 xG and Piast Gliwice 0.86 xG, a combined 3.00. The scoreboard read 0-0 for 0 actual goals. Jagiellonia fell 2.1 short of their projected output. Piast Gliwice landed 0.9 under their projected return. Those figures were built on strength ratings of Jagiellonia attack 1.53 / defence 0.78 against Piast Gliwice attack 0.95 / defence 0.97, drawn from 49/49 games (CurrentSeason).

On the result, the model split it Jagiellonia 65% | Draw 22% | Piast Gliwice 12%, with Jagiellonia to win its most likely call at 65%. Instead the game produced a draw, an outcome the model had rated at just 22% — a clear break from expectation and a genuine upset by the numbers.

Goals & Markets

The model rated Over 2.5 goals at 58%. The game delivered 0, so it stayed under — a miss for the goals model. Over 1.5 had been 82% and missed. On both teams to score, the model sat at 52% and the match did not — a miss on BTTS. Historically the two sides average 43% Over 2.5 across their same-competition games (Jagiellonia 59%, Piast Gliwice 26%), a base rate that agreed with today's under. Their combined BTTS history runs at 58%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Jagiellonia's trading profile (49 games, 24 home) set some clear expectations: BTTS lands in 69% of their matches — today it did not.

Piast Gliwice's trading profile (49 games, 24 away) set some clear expectations: BTTS lands in 47% of their matches — today it did not; they keep a clean sheet 31% of the time, and duly kept one; they fail to score in 35% of games, a blank that repeated today.

Form vs Result

The form lines were close — Jagiellonia 1.45 PPG, Piast Gliwice 1.37 PPG — offering no strong steer, and the draw fit that even billing. Jagiellonia (home/away splits) managed 0 against a 2.17 scoring average — below par going forward and conceded 0 against a 1.12 average — tighter than their form line. Piast Gliwice (home/away splits) managed 0 against a 1.12 scoring average — below par going forward and conceded 0 against a 0.92 average — tighter than their form line.

Verdict

Grading the result against the stored data, 0 of 3 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (miss). A poor return for the projections: the match defied the majority of what the numbers expected.

💡 Key Insights

Model Goals market defied the model — 58% Over 2.5 probability, but 0 goals scored.
Model BTTS bucked the model — 52% projected, one side was shut out.
Trading Trading data backed up — the sides average 43% Over 2.5 historically, and this game stayed under.

⚠️ 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.

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