Sign in Register

Sudtirol 0-1 Palermo – Result & Analysis

🎯

Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

Serie B · Regular Season - 38

Kick-off

Fri 10 May 2024

19:30

Venue

Stadio Marco Druso

Competition

Serie B

Italy

Status

FT
💬 Comment 📝 Notes
📋

Poisson rates Sudtirol at 43% — recent form provides partial corroboration, though signals are mixed in this Sudtirol vs Palermo encounter.

✍️ Match Preview

Full Analysis

Stadio Marco Druso plays host to Sudtirol versus Palermo in Serie B (matchday 38). Kick-off: Friday 10 May 2024 at 20:30 UK time.

Current Form

Sudtirol's record over their last 10 games: 4W 3D 3L (1.50 PPG). Last five: W D L W D. They are averaging 1.20 goals per game and conceding 1.00 — a modest attacking output that tempers optimism on the Over 2.5 market. 5 clean sheets from 10 games (50%) is a standout defensive return — they are keeping their net clean in more than half their matches. Both teams have scored in just 30% of their matches, indicating a tendency toward clean sheets or low-scoring outcomes.

Sudtirol's form when playing at home: 5W 2D 3L across their last 10 home games (1.70 PPG). At home they are averaging 1.20 goals scored and 1.00 conceded per game. 6 clean sheets from their last 10 home games (60%) — they are an exceptionally hard side to score against at home. At home, both teams have scored in only 20% of games — reinforcing BTTS No as the home-venue-backed angle.

Palermo have collected 0.70 PPG across their last 10 games: 1W 4D 5L. Last five: D D L L D. Their scoring rate of 1.20 per game is modest, conceding 1.90 — not a side to back heavily on the Over 2.5 from their form alone. 2 clean sheets from 10 outings (20%). Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market.

When travelling, Palermo have posted 2W 4D 4L from their last 10 away outings — 1.00 PPG. Away from home they average 1.50 goals scored and 1.90 conceded per game. Both teams have scored in 70% of their away matches — a high BTTS rate on the road that directly informs this fixture.

The points-per-game gap of 0.80 in Sudtirol's favour (1.50 vs 0.70) is a statistically meaningful difference. The hosts are the form pick here, with draw protection the sensible hedge given the away side's competitiveness.

Head-to-Head

Neither side has dominated the 3 H2H matches in our data: 1 wins for Sudtirol, 1 for Palermo and 1 draw — leaving the H2H largely neutral. With only 3 H2H matches to go on, treat this as a light input.

The 3 H2H matches in our data averaged 2.0 goals per game — a neutral rate that gives no strong lean on the goals market from the H2H alone. The most recent of those, on 1 Oct 2023, ended Sudtirol 1–2 Palermo — a Palermo win.

The head-to-head data offers no strong steer in either the result or goals markets. Form, the model and current market pricing should carry more weight for this fixture.

Trading

Sudtirol half-time and goal-timing data (last 75 games, 37 of them at home): at least one goal arrives before half-time in 57% of their matches in home games; when goalless at HT, a second-half goal follows 73% of the time; of the 18 games they led at half-time, they failed to win 33%; of the 19 games they trailed at half-time, they recovered to draw or win 58%; BTTS occurs in 46% of their matches (home games); Over 2.5 goals lands in 32% of games (home games).

Palermo half-time and goal-timing data (last 75 games, 37 of them away): at least one goal arrives before half-time in 81% of their matches in away games; when goalless at HT, a second-half goal follows 68% of the time; of the 27 games they led at half-time, they failed to win 52%; of the 19 games they trailed at half-time, they recovered to draw or win 37%; BTTS occurs in 65% of their matches (away games); Over 2.5 goals lands in 46% of games (away games).

BTTS rates are mixed from the trading data — Sudtirol 48% versus Palermo 59%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Sudtirol 35% | Palermo 52%). There is an in-play dynamic worth noting: Sudtirol surrender their half-time lead 33% of the time, while Palermo have come from behind at the break to draw or win in 37% of cases — a combination that makes laying the hosts at HT a potential angle. Note also that Palermo surrender HT leads in 52% of cases while Sudtirol recover from half-time deficits to draw or win 58% of the time — a dynamic that could influence in-play positioning.

Poisson Model

The Poisson distribution model projects Sudtirol 1.50 xG and Palermo 1.19 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: Sudtirol attack 0.986 / defence 0.937 | Palermo attack 1.087 / defence 1.237. League average goals — home 1.234 / away 1.170. Palermo's defence rating of 1.237 (above 1 = concedes more than average) is pushing Sudtirol's projected output up. Data: built from Sudtirol's last 75 games and Palermo's last 75.

Result probabilities: Sudtirol 43% | Draw 29% | Palermo 28%. Fair-value odds: Sudtirol 2.35 | Draw 3.41 | Palermo 3.55. This is a low-confidence result — no outcome reaches 45%. The draw at 29% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 51% | BTTS Yes probability 56% | Total xG 2.70. Over/Under 2.5 is close to a coin-flip at 51%/49% — the total xG of 2.70 sits near the 2.5 margin; this is a low-edge market from a Poisson standpoint. BTTS Yes at 56% is only a slight lean — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Verdict

The Poisson model's primary lean is Sudtirol at 43% — marginal model lean. Recent form corroborates the Poisson lean — partial multi-source support. Draw probability of 29% warrants consideration of Double Chance or Draw No Bet on Sudtirol if the outright odds are short. The opposing side holds a 28% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 2.70 xG in total — Over 2.5 at 51% — reasonable conviction, supported by recent form (Sudtirol's last 10 home games and Palermo's last 10 away games) averaging 2.8 goals per game.

Poisson assigns a 56% probability to BTTS Yes based on the attack/defence strength model. Form rates are neutral — both teams scored in: Sudtirol 20% (last 10 home games) | Palermo 70% (last 10 away games).

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights

H2H The H2H record is evenly balanced (Sudtirol 1W, 1D, Palermo 1W from the 3 H2H matches in our data), with no clear advantage.
BTTS H2H BTTS 67% and Poisson BTTS Yes 56% — two-way scoring is backed by both the H2H data and the model.
Form Sudtirol lead on PPG: 1.50 vs 0.70 — stronger form across the last 10 games.
Form Sudtirol Poisson xG (1.50) exceeds their recent form scoring rate (1.20 over their last 10 home games) — against this opponent, the model expects more than their recent scoring rate.
Form Palermo Poisson xG (1.19) is below their form scoring rate (1.50 over their last 10 away games) — against this opponent, the model expects less than their recent scoring rate.
Form Form and Poisson model both favour Sudtirol — Sudtirol at 43% win probability.

🏟️ Match Context

• Fixture: Sudtirol vs Palermo | Competition: Serie B, matchday 38 | Venue: Stadio Marco Druso • Kick-off: Friday 10 May 2024 at 20:30 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: Sudtirol 43% | Draw 29% | Palermo 28% • Poisson goal markets: Over 2.5 51% (Under 49%) | BTTS Yes 56% (No 44%) | xG Sudtirol 1.50 / Palermo 1.19 • Poisson strength factors: Sudtirol attack 0.986 / def 0.937 | Palermo attack 1.087 / def 1.237 | league avg home 1.234 / away 1.170 • Poisson stance: Sudtirol (43%) — low confidence — close contest

🧮 Prediction Model

1.50

Sudtirol xG

Expected Goals

1.19

Palermo xG

43%
29%
28%
Sudtirol Draw Palermo

56%

BTTS

77%

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.

❓ Sudtirol vs Palermo FAQs

What time does Sudtirol vs Palermo kick off?

Sudtirol vs Palermo kicked off at 20:30 UK time on Friday 10 May 2024 at Stadio Marco Druso.

What was the final score in Sudtirol vs Palermo?

Sudtirol 0 - 1 Palermo.

Where is Sudtirol vs Palermo being played?

The match is being played at Stadio Marco Druso.

What competition is Sudtirol vs Palermo part of?

Sudtirol vs Palermo is a Serie B fixture (matchday 38) (Italy).

Who is favourite to win Sudtirol vs Palermo?

Our statistical model gives Sudtirol a 43% chance of winning, Palermo a 28% chance, and a 29% chance of a draw — making Sudtirol the favourite.

Will both teams score in Sudtirol vs Palermo?

Our model estimates a 56% probability that both Sudtirol and Palermo will score, so it leans towards BTTS Yes.

Will Sudtirol vs Palermo have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 51%, so it leans towards over 2.5 goals.

🧮 Model Insight

Where the Numbers Come From

Sudtirol's attacking strength (0.99x league average) is weighed against Palermo's defensive record (1.24x) to produce a home expected-goals figure of 1.50. Flip it around — Palermo's attack (1.09x) against Sudtirol's defence (0.94x) — and the away total comes out at 1.19.

These ratings are built from Sudtirol's last 75 games and Palermo's last 75 — a full enough recent sample to trust.

Most Likely Scorelines

The model's single most probable exact score is 1-1, at 13.7%. Close behind: 2-1 (9.1%), 1-0 (8.6%). Those top three scorelines alone account for 31% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.

Most Likely Outcome

Sudtirol Win

43%

Sudtirol

2.35

29%

Draw

3.41

28%

Palermo

3.55

Top 3 Most Likely Scorelines

1 – 1

12.1%

Draw

Most likely

1 – 0

10.1%

Home win

2 – 1

9.1%

Home win

Expected Goals & Win Odds

1.50

Sudtirol xG

Total xG

2.70

1.19

Palermo xG

43%
29%
28%
SudtirolDrawPalermo

2.35

43%

Home win

3.41

29%

Draw

3.55

28%

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

56%

BTTS Yes

1.78

44%

BTTS No

2.28

Clean Sheet

30%

Sudtirol

3.29

22%

Palermo

4.50

Win to Nil

13%

Sudtirol

7.75

6%

Palermo

16.01

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 6.7 8.0 4.8 1.9 0.6 0.1
1 10.1 12.1 7.2 2.9 0.9 0.2
2 7.6 9.1 5.4 2.2 0.6 0.2
3 3.8 4.6 2.7 1.1 0.3 0.1
4 1.4 1.7 1.0 0.4 0.1 –
5 0.4 0.5 0.3 0.1 – –

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

▶ Model Internals
λ Home (xG) 1.505
λ Away (xG) 1.192
Total xG 2.697
League avg home goals 1.234
League avg away goals 1.170
Sudtirol attack strength 0.986
Sudtirol defence strength 0.937
Palermo attack strength 1.087
Palermo defence strength 1.237
Data phase CurrentSeason
Games used (H/A) 75 / 75

❓ Sudtirol vs Palermo Prediction FAQs

What is the most likely scoreline for Sudtirol vs Palermo?

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 13.7%.

How many goals are Sudtirol and Palermo expected to score?

The model projects 1.50 expected goals for Sudtirol and 1.19 for Palermo, a combined total of 2.70.

How confident is the prediction model for Sudtirol vs Palermo?

Not very — the model's leading outcome sits at just 43%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

Recent Form Overview

Across their last 75 outings, Sudtirol have picked up 1.48 PPG on a 28W 27D 20L record — W-D-L-W-D across the most recent five.

Palermo's form line: 25W 27D 23L from 75 games, 1.36 PPG, last five D-D-L-L-D.

There isn't much between them on recent form — 1.48 PPG for Sudtirol against 1.36 for Palermo. Neither side arrives with a clear form advantage.

How They Fare by Venue

On home soil, Sudtirol have posted 1.54 PPG from their last 37 home games (14W 15D 8L).

On the road, Palermo have gone 9W 15D 13L from their last 37 away games — 1.14 PPG when travelling.

Comparing the two in their relevant venue splits, Sudtirol come out ahead — a more targeted read than the overall PPG figures above, since it strips out games played in the opposite context.

Attack vs Defence

Sudtirol are averaging 1.13 goals scored and 0.99 conceded per game recently; Palermo are on 1.45 scored and 1.36 conceded.

Defensively: Sudtirol have kept a clean sheet in 36% of their games — worth knowing if you're weighing up clean-sheet or BTTS-No markets.

Last 75 Results

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

Sudtirol

Sudtirol

Current Season
W D L W D
Palermo

Palermo

Current Season
D D L L D
75 Played 75
28/27/20 W / D / L 25/27/23
1.48 Points Per Game 1.36
1.13 Avg Goals Scored 1.45
0.99 Avg Goals Conceded 1.36
2.12 Avg Goals / Game 2.81
27 Clean Sheets 19
36 BTTS 44
26 Over 2.5 Games 39
Sudtirol

Sudtirol

D
A Pisa
2–2 HT 0–1
05 May
W
H Ternana
4–3 HT 1–2
01 May
L
A Modena
0–1 HT 0–0
27 Apr
D
H Cittadella
0–0 HT 0–0
20 Apr
W
A Sampdoria
1–0 HT 0–0
13 Apr
D
H Parma
0–0 HT 0–0
06 Apr
L
A Como
0–2 HT 0–1
01 Apr
W
H Cremonese
3–0 HT 1–0
16 Mar
L
A Spezia
1–2 HT 1–1
09 Mar
W
H Lecco
1–0 HT 0–0
02 Mar
D
A Reggiana
1–1 HT 0–0
27 Feb
W
H Bari
1–0 HT 0–0
24 Feb
D
A Catanzaro
2–2 HT 1–1
17 Feb
L
H Venezia
0–3 HT 0–1
10 Feb
W
A Ascoli
2–1 HT 1–0
04 Feb
L
H Cosenza
0–1 HT 0–0
27 Jan
D
A Brescia
1–1 HT 0–0
20 Jan
W
H Feralpisalo
1–0 HT 0–0
13 Jan
L
A Lecco
1–2 HT 0–0
26 Dec
L
H Reggiana
2–3 HT 1–1
23 Dec
W
A Venezia
3–2 HT 1–2
16 Dec
L
A Bari
1–2 HT 1–1
09 Dec
L
H Como
0–1 HT 0–0
03 Dec
D
H Brescia
1–1 HT 1–0
28 Nov
L
A Cittadella
1–2 HT 0–1
25 Nov
L
H Pisa
1–2 HT 0–1
11 Nov
L
A Parma
0–2 HT 0–1
05 Nov
W
H Sampdoria
3–1 HT 0–0
28 Oct
W
A Cremonese
1–0 HT 0–0
21 Oct
L
H Catanzaro
0–1 HT 0–1
07 Oct
L
A Palermo
1–2 HT 1–0
01 Oct
D
H Modena
0–0 HT 0–0
26 Sep
D
A Ternana
1–1 HT 0–1
23 Sep
D
A Cosenza
2–2 HT 0–1
16 Sep
W
H Ascoli
3–1 HT 0–1
02 Sep
W
A Feralpisalo
2–0 HT 1–0
26 Aug
D
H Spezia
3–3 HT 1–2
20 Aug
L
A Bari
0–1 HT 0–0
02 Jun
W
H Bari
1–0 HT 0–0
29 May
W
H Reggina
1–0 HT 0–0
26 May
L
A Modena
1–2 HT 0–2
19 May
D
H Cittadella
1–1 HT 0–0
13 May
W
A Ternana
1–0 HT 1–0
06 May
D
H Genoa
0–0 HT 0–0
01 May
D
A Frosinone
0–0 HT 0–0
22 Apr
L
A Ascoli
0–1 HT 0–0
15 Apr
L
H Bari
0–1 HT 0–0
10 Apr
D
A Cagliari
1–1 HT 0–1
01 Apr
W
H Spal
2–0 HT 1–0
18 Mar
D
A Parma
0–0 HT 0–0
11 Mar
W
H Perugia
2–1 HT 1–1
05 Mar
W
A Benevento
2–0 HT 1–0
01 Mar
D
H Palermo
1–1 HT 1–0
25 Feb
D
A Cosenza
0–0 HT 0–0
18 Feb
D
H Como
1–1 HT 0–0
11 Feb
W
A Pisa
1–0 HT 1–0
04 Feb
W
H Reggina
2–1 HT 1–1
28 Jan
W
A Venezia
1–0 HT 0–0
21 Jan
W
H Brescia
1–0 HT 1–0
15 Jan
L
H Modena
0–2 HT 0–1
26 Dec
W
A Cittadella
2–0 HT 2–0
18 Dec
D
H Ternana
0–0 HT 0–0
11 Dec
L
A Genoa
0–2 HT 0–0
08 Dec
D
H Frosinone
1–1 HT 1–0
04 Dec
D
H Ascoli
2–2 HT 0–1
27 Nov
D
A Bari
2–2 HT 2–1
12 Nov
D
H Cagliari
2–2 HT 1–1
05 Nov
D
A Spal
1–1 HT 0–1
29 Oct
W
H Parma
1–0 HT 1–0
22 Oct
W
A Perugia
2–1 HT 1–0
16 Oct
D
H Benevento
1–1 HT 0–1
09 Oct
W
A Palermo
1–0 HT 1–0
01 Oct
D
H Cosenza
1–1 HT 1–0
17 Sep
W
A Como
2–0 HT 0–0
10 Sep
W
H Pisa
2–1 HT 1–1
04 Sep
Palermo

Palermo

D
H Ascoli
2–2 HT 2–1
05 May
L
A Spezia
0–1 HT 0–1
01 May
L
H Reggiana
1–2 HT 1–0
27 Apr
D
H Parma
0–0 HT 0–0
19 Apr
D
A Cosenza
1–1 HT 1–0
13 Apr
D
H Sampdoria
2–2 HT 2–1
06 Apr
L
A Pisa
3–4 HT 2–0
01 Apr
L
H Venezia
0–3 HT 0–2
15 Mar
W
A Lecco
1–0 HT 1–0
10 Mar
L
A Brescia
2–4 HT 2–4
02 Mar
L
H Ternana
2–3 HT 1–1
27 Feb
D
A Cremonese
2–2 HT 2–0
24 Feb
W
H Como
3–0 HT 1–0
17 Feb
W
A Feralpisalo
2–1 HT 0–0
10 Feb
W
H Bari
3–0 HT 1–0
02 Feb
D
A Catanzaro
1–1 HT 0–1
26 Jan
W
H Modena
4–2 HT 2–1
20 Jan
L
A Cittadella
0–2 HT 0–1
13 Jan
W
H Cremonese
3–2 HT 1–2
26 Dec
D
A Como
3–3 HT 1–0
23 Dec
W
H Pisa
3–2 HT 2–0
16 Dec
D
A Parma
3–3 HT 2–0
10 Dec
L
H Catanzaro
1–2 HT 0–1
01 Dec
D
A Ternana
1–1 HT 1–0
26 Nov
L
H Cittadella
0–1 HT 0–0
12 Nov
W
H Brescia
1–0 HT 1–0
08 Nov
L
A Sampdoria
0–1 HT 0–1
04 Nov
L
H Lecco
1–2 HT 0–2
29 Oct
D
H Spezia
2–2 HT 0–1
23 Oct
W
A Modena
2–0 HT 0–0
07 Oct
W
H Sudtirol
2–1 HT 0–1
01 Oct
W
A Venezia
3–1 HT 1–1
26 Sep
L
H Cosenza
0–1 HT 0–0
22 Sep
W
A Ascoli
1–0 HT 0–0
16 Sep
W
H Feralpisalo
3–0 HT 1–0
02 Sep
W
A Reggiana
3–1 HT 1–0
29 Aug
D
A Bari
0–0 HT 0–0
18 Aug
D
H Brescia
2–2 HT 2–0
19 May
L
A Cagliari
1–2 HT 1–1
13 May
W
H Spal
2–1 HT 2–0
06 May
D
A Como
1–1 HT 1–1
01 May
D
H Benevento
1–1 HT 1–1
22 Apr
L
A Venezia
2–3 HT 1–1
15 Apr
D
H Cosenza
0–0 HT 0–0
10 Apr
L
A Parma
1–2 HT 1–1
01 Apr
W
H Modena
5–2 HT 1–2
17 Mar
D
A Cittadella
3–3 HT 2–2
11 Mar
D
A Pisa
1–1 HT 1–0
04 Mar
D
H Ternana
0–0 HT 0–0
28 Feb
D
A Sudtirol
1–1 HT 0–1
25 Feb
D
H Frosinone
1–1 HT 1–0
18 Feb
L
A Genoa
0–2 HT 0–1
10 Feb
W
H Reggina
2–1 HT 0–0
05 Feb
W
A Ascoli
2–1 HT 1–0
29 Jan
W
H Bari
1–0 HT 0–0
20 Jan
D
A Perugia
3–3 HT 1–3
14 Jan
D
A Brescia
1–1 HT 0–0
26 Dec
W
H Cagliari
2–1 HT 1–0
18 Dec
D
A Spal
1–1 HT 1–1
11 Dec
D
H Como
0–0 HT 0–0
08 Dec
W
A Benevento
1–0 HT 0–0
04 Dec
L
H Venezia
0–1 HT 0–0
27 Nov
L
A Cosenza
2–3 HT 1–1
12 Nov
W
H Parma
1–0 HT 0–0
05 Nov
W
A Modena
2–0 HT 2–0
29 Oct
D
H Cittadella
0–0 HT 0–0
23 Oct
D
H Pisa
3–3 HT 2–1
15 Oct
L
A Ternana
0–3 HT 0–0
08 Oct
L
H Sudtirol
0–1 HT 0–1
01 Oct
L
A Frosinone
0–1 HT 0–1
17 Sep
W
H Genoa
1–0 HT 0–0
09 Sep
L
A Reggina
0–3 HT 0–1
03 Sep
L
H Ascoli
2–3 HT 1–2
27 Aug
D
A Bari
1–1 HT 1–0
19 Aug
W
H Perugia
2–0 HT 1–0
13 Aug

Sudtirol (Home) vs Palermo (Away)

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

Sudtirol

Sudtirol

Current Season
W W D D W
Palermo

Palermo

Current Season
L W L D L
37 Played 37
14/15/8 W / D / L 9/15/13
1.54 Points Per Game 1.14
1.16 Avg Goals Scored 1.38
0.95 Avg Goals Conceded 1.57
2.11 Avg Goals / Game 2.95
14 Clean Sheets 6
17 BTTS 24
12 Over 2.5 Games 17
Sudtirol

Sudtirol — Home

W
Ternana
4–3 HT 1–2
01 May
D
Cittadella
0–0 HT 0–0
20 Apr
D
Parma
0–0 HT 0–0
06 Apr
W
Cremonese
3–0 HT 1–0
16 Mar
W
Lecco
1–0 HT 0–0
02 Mar
W
Bari
1–0 HT 0–0
24 Feb
L
Venezia
0–3 HT 0–1
10 Feb
L
Cosenza
0–1 HT 0–0
27 Jan
W
Feralpisalo
1–0 HT 0–0
13 Jan
L
Reggiana
2–3 HT 1–1
23 Dec
L
Como
0–1 HT 0–0
03 Dec
D
Brescia
1–1 HT 1–0
28 Nov
L
Pisa
1–2 HT 0–1
11 Nov
W
Sampdoria
3–1 HT 0–0
28 Oct
L
Catanzaro
0–1 HT 0–1
07 Oct
D
Modena
0–0 HT 0–0
26 Sep
W
Ascoli
3–1 HT 0–1
02 Sep
D
Spezia
3–3 HT 1–2
20 Aug
W
Bari
1–0 HT 0–0
29 May
W
Reggina
1–0 HT 0–0
26 May
D
Cittadella
1–1 HT 0–0
13 May
D
Genoa
0–0 HT 0–0
01 May
L
Bari
0–1 HT 0–0
10 Apr
W
Spal
2–0 HT 1–0
18 Mar
W
Perugia
2–1 HT 1–1
05 Mar
D
Palermo
1–1 HT 1–0
25 Feb
D
Como
1–1 HT 0–0
11 Feb
W
Reggina
2–1 HT 1–1
28 Jan
W
Brescia
1–0 HT 1–0
15 Jan
L
Modena
0–2 HT 0–1
26 Dec
D
Ternana
0–0 HT 0–0
11 Dec
D
Frosinone
1–1 HT 1–0
04 Dec
D
Ascoli
2–2 HT 0–1
27 Nov
D
Cagliari
2–2 HT 1–1
05 Nov
W
Parma
1–0 HT 1–0
22 Oct
D
Benevento
1–1 HT 0–1
09 Oct
D
Cosenza
1–1 HT 1–0
17 Sep
Palermo

Palermo — Away

L
Spezia
0–1 HT 0–1
01 May
D
Cosenza
1–1 HT 1–0
13 Apr
L
Pisa
3–4 HT 2–0
01 Apr
W
Lecco
1–0 HT 1–0
10 Mar
L
Brescia
2–4 HT 2–4
02 Mar
D
Cremonese
2–2 HT 2–0
24 Feb
W
Feralpisalo
2–1 HT 0–0
10 Feb
D
Catanzaro
1–1 HT 0–1
26 Jan
L
Cittadella
0–2 HT 0–1
13 Jan
D
Como
3–3 HT 1–0
23 Dec
D
Parma
3–3 HT 2–0
10 Dec
D
Ternana
1–1 HT 1–0
26 Nov
L
Sampdoria
0–1 HT 0–1
04 Nov
W
Modena
2–0 HT 0–0
07 Oct
W
Venezia
3–1 HT 1–1
26 Sep
W
Ascoli
1–0 HT 0–0
16 Sep
W
Reggiana
3–1 HT 1–0
29 Aug
D
Bari
0–0 HT 0–0
18 Aug
L
Cagliari
1–2 HT 1–1
13 May
D
Como
1–1 HT 1–1
01 May
L
Venezia
2–3 HT 1–1
15 Apr
L
Parma
1–2 HT 1–1
01 Apr
D
Cittadella
3–3 HT 2–2
11 Mar
D
Pisa
1–1 HT 1–0
04 Mar
D
Sudtirol
1–1 HT 0–1
25 Feb
L
Genoa
0–2 HT 0–1
10 Feb
W
Ascoli
2–1 HT 1–0
29 Jan
D
Perugia
3–3 HT 1–3
14 Jan
D
Brescia
1–1 HT 0–0
26 Dec
D
Spal
1–1 HT 1–1
11 Dec
W
Benevento
1–0 HT 0–0
04 Dec
L
Cosenza
2–3 HT 1–1
12 Nov
W
Modena
2–0 HT 2–0
29 Oct
L
Ternana
0–3 HT 0–0
08 Oct
L
Frosinone
0–1 HT 0–1
17 Sep
L
Reggina
0–3 HT 0–1
03 Sep
D
Bari
1–1 HT 1–0
19 Aug

❓ Sudtirol vs Palermo Form FAQs

What form are Sudtirol and Palermo in coming into this match?

Sudtirol have gone 28W 27D 20L in their last 75 games (1.48 PPG), while Palermo have gone 25W 27D 23L in their last 75 (1.36 PPG).

Which team has the better venue record — Sudtirol at home or Palermo away?

Sudtirol's home record (1.54 PPG) is the stronger of the two venue-specific splits — Sudtirol at home: 1.54 PPG; Palermo away: 1.14 PPG.

Have Sudtirol or Palermo been keeping clean sheets recently?

Sudtirol have kept a clean sheet in 36% of their recent games, Palermo in 25%.

⚔️ Rivalry Insight

The Rivalry So Far

Our data holds 8 H2H matches between Sudtirol and Palermo, the earliest from October 2022. All of them came in Serie B. The most recent was on 21 February 2026, roughly 8 months ago.

Notable Numbers

Palermo have won the most recent 2 H2H matches in our data — the current momentum in this pairing sits with them.

For context on how one-sided this fixture can get: Palermo won Palermo 3-0 Sudtirol on 21 Feb 2026, the biggest margin in the H2H matches we hold.

Specifically as hosts in this fixture, Sudtirol have gone 0W 1D 3L from the 4 H2H matches in our data played on their own ground against Palermo — worth weighing alongside the overall series record.

Last 8 Meetings

Sudtirol

2

Sudtirol

1

Draws

Palermo

5

Palermo

Recent Meetings

Palermo
3–0
21 Feb 26
Sudtirol
Sudtirol
0–2
14 Sep 25
Palermo
Palermo
1–2
01 May 25
Sudtirol
Sudtirol
1–3
30 Sep 24
Palermo
Sudtirol
0–1
10 May 24
Palermo
Palermo
2–1
01 Oct 23
Sudtirol
Sudtirol
1–1
25 Feb 23
Palermo
Palermo
0–1
01 Oct 22
Sudtirol

❓ Sudtirol vs Palermo H2H FAQs

What is the head-to-head record between Sudtirol and Palermo?

Across the 8 head-to-head matches in our data, Sudtirol have won 2, Palermo have won 5, and 1 has been drawn.

When did Sudtirol and Palermo last play each other?

The most recent meeting in our data was on 21 February 2026: Palermo 3-0 Sudtirol.

Who has won more matches between Sudtirol and Palermo?

Palermo have the better head-to-head record, with 5 wins from the 8 head-to-head matches in our data.

📈 Trading Insight

Early Goal Trends

Sudtirol see a goal before the break in 57% of their matches. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 56% of those situations.

Palermo are typically involved in an early goal — the half-time board shows at least one in 81% of their matches. They've gone in front at half-time 32% of the time, though they've let that lead slip 67% 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 30% of those situations.

Full-Time Markets

BTTS sits in mixed territory for this pairing — Sudtirol 46%, Palermo 65% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 32% (Sudtirol) and 46% (Palermo).

On the defensive side: Sudtirol keep a clean sheet in 38% of their matches; Sudtirol have failed to score in 30% of games.

📈

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

Sudtirol Sudtirol Current Season
Metric All
(75 games)
Venue
(37 games)
Half-Time Metrics
1+ Goal Before HT 45/75
(60%)
21/37
(56.8%)
2+ Goals Before HT 14/75
(18.7%)
6/37
(16.2%)
0-0 HT → 1+ Goal 2nd Half 22/30
(73.3%)
11/16
(68.8%)
0-0 HT → 2+ Goals 2nd Half 8/30
(26.7%)
3/16
(18.8%)
Winning at HT 18/75
(24%)
8/37
(21.6%)
Lost Lead (Win HT → No Win FT) 6/18
(33.3%)
4/8
(50%)
Came From Behind (Lose HT → Draw/Win FT) 11/19
(57.9%)
5/9
(55.6%)
Full-Time Metrics
BTTS 36/75
(48%)
17/37
(45.9%)
Over 2.5 Goals 26/75
(34.7%)
12/37
(32.4%)
Over 3.5 Goals 12/75
(16%)
7/37
(18.9%)
Clean Sheet 27/75
(36%)
14/37
(37.8%)
Failed to Score 20/75
(26.7%)
11/37
(29.7%)
Palermo Palermo Current Season
Metric All
(75 games)
Venue
(37 games)
Half-Time Metrics
1+ Goal Before HT 56/75
(74.7%)
30/37
(81.1%)
2+ Goals Before HT 28/75
(37.3%)
14/37
(37.8%)
0-0 HT → 1+ Goal 2nd Half 13/19
(68.4%)
6/7
(85.7%)
0-0 HT → 2+ Goals 2nd Half 5/19
(26.3%)
4/7
(57.1%)
Winning at HT 27/75
(36%)
12/37
(32.4%)
Lost Lead (Win HT → No Win FT) 14/27
(51.9%)
8/12
(66.7%)
Came From Behind (Lose HT → Draw/Win FT) 7/19
(36.8%)
3/10
(30%)
Full-Time Metrics
BTTS 44/75
(58.7%)
24/37
(64.9%)
Over 2.5 Goals 39/75
(52%)
17/37
(45.9%)
Over 3.5 Goals 22/75
(29.3%)
11/37
(29.7%)
Clean Sheet 19/75
(25.3%)
6/37
(16.2%)
Failed to Score 18/75
(24%)
8/37
(21.6%)

❓ Sudtirol vs Palermo Trading FAQs

Do both teams usually score in Sudtirol and Palermo matches?

Yes — based on recent matches, both teams have scored in 46% of Sudtirol's games and 65% of Palermo's, a combined rate that favours BTTS Yes.

Are Sudtirol and Palermo matches usually high-scoring?

Not particularly — Over 2.5 goals has come in for only 32% of Sudtirol's recent games and 46% of Palermo's, pointing to a tighter contest.

Do Sudtirol and Palermo matches tend to have early goals?

There has been at least one first-half goal in 57% of Sudtirol's recent matches and 81% of Palermo's — a useful reference point for first-half goal markets.

📰

Shock result as Palermo defy the odds to beat Sudtirol 0-1.

📝 Match Report

How It Unfolded

Palermo beat Sudtirol 0-1 at Stadio Marco Druso, Regular Season - 38, in the Serie B. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting Sudtirol 1.50 xG and Palermo 1.19 xG, a combined 2.70. The scoreboard read 0-1 for 1 actual goal. Sudtirol fell 1.5 short of their projected output. Those figures were built on strength ratings of Sudtirol attack 0.99 / defence 0.94 against Palermo attack 1.09 / defence 1.24, drawn from 75/75 games (CurrentSeason).

On the result, the model split it Sudtirol 43% | Draw 29% | Palermo 28%, with Sudtirol to win its most likely call at 43%. The actual Palermo win had been the model's second-ranked read at 28%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 51%. The game delivered 1, so it stayed under — against the model's lean. Over 1.5 had been 77% and missed. On both teams to score, the model sat at 56% and the match did not — a miss on BTTS. Historically the two sides average 43% Over 2.5 across their same-competition games (Sudtirol 35%, Palermo 52%), a base rate that agreed with today's under. Their combined BTTS history runs at 53%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Sudtirol's trading profile (75 games, 37 home) set some clear expectations: BTTS lands in 48% of their matches — today it did not; they keep a clean sheet 36% of the time, and conceded here; they fail to score in 27% of games, a blank that repeated today.

Palermo's trading profile (75 games, 37 away) set some clear expectations: BTTS lands in 59% of their matches — today it did not.

Form vs Result

The form lines were close — Sudtirol 1.48 PPG, Palermo 1.36 PPG — offering no strong steer, and the Palermo win broke the near-deadlock. Sudtirol (home/away splits) managed 0 against a 1.16 scoring average — below par going forward. Palermo (home/away splits) conceded 0 against a 1.57 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). This one broke away from the data — most of the pre-match signals were overturned by how the ninety minutes actually played out.

💡 Key Insights

Model Goals market defied the model — 51% Over 2.5 probability, but 1 goal scored.
Model BTTS bucked the model — 56% 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.

More Serie B fixtures — matchday 38

All Serie B fixtures →
More Italian football predictions →