Sign in Register

Mantova 0-0 Catanzaro – Result & Analysis

🎯

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

Serie B · Regular Season - 34

Kick-off

Tue 13 May 2025

19:30

Venue

Stadio Danilo Martelli

Competition

Serie B

Italy

Status

FT
💬 Comment 📝 Notes
📋

Poisson model rates Mantova at 40%, yet other data sources diverge — this Mantova vs Catanzaro fixture contains genuine analytical tension.

✍️ Match Preview

Analysis

Catanzaro make the trip to Stadio Danilo Martelli to face Mantova in Serie B, Regular Season - 34. The match kicks off on Tuesday 13 May 2025 at 19:30 UTC.

Form & Momentum

Mantova have collected 1.40 PPG across 10 Serie B outings this season: 4W 2D 4L. Last five: D L W L W. Offensively they are averaging 1.60 goals per game, with 1.60 conceded. 2 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in 70% of their games — a high BTTS rate that carries real weight in the goals markets.

In front of their own supporters this season, Mantova have posted 4W 3D 3L at Stadio Danilo Martelli — 1.50 PPG. At home they are averaging 1.50 goals scored and 1.30 conceded per game.

Catanzaro (all games): 2W 4D 4L across 10 Serie B outings this term — 1.00 points per game. Last five: D L L D W. They are scoring at 1.60 per game and conceding 1.90. 2 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market.

When travelling in Serie B this season, Catanzaro have posted 3W 4D 3L from 10 away outings — 1.30 PPG. Away from home they average 1.20 goals scored and 1.50 conceded per game. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context.

A near-identical PPG reading — 1.40 for Mantova, 1.00 for Catanzaro — means the form record is uninstructive on result selection. The goals and market sections will carry greater evidential weight.

Head-to-Head

Form and model data should carry more weight here — the historical record is too balanced to provide a directional steer. From 1 meetings: Mantova 0W, Catanzaro 0W, 1D.

These two sides have produced goals at a consistent rate historically, averaging 4.0 per game across 1 meetings. That scoring profile provides genuine support for the Over 2.5 angle. The most recent clash, on 23 Nov 2024, ended 2–2 with a draw.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 4.0 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

Trading Data

Mantova goal-timing and half-time pattern breakdown (37 games, 18 at home): they score before half-time in 56% of fixtures in home games; when goalless at HT, a second-half goal follows 83% of the time; BTTS occurs in 44% of their matches (home games); Over 2.5 goals lands in 44% of games (home games); Over 3.5 in 38%.

Catanzaro goal-timing and half-time pattern breakdown (37 games, 18 at away): they score before half-time in 67% of fixtures in away games; when goalless at HT, a second-half goal follows 46% of the time; BTTS occurs in 56% of their matches (away games); Over 2.5 goals lands in 39% of games (away games); Over 3.5 in 35%.

BTTS rates are mixed from the trading data — Mantova 60% versus Catanzaro 57%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Mantova 54% | Catanzaro 49%).

Poisson Model

The Poisson distribution model projects Mantova 1.41 xG and Catanzaro 1.21 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: Mantova attack 1.033 / defence 1.053 | Catanzaro attack 0.994 / defence 1.045. League average goals — home 1.309 / away 1.160. Data: 37 Mantova games / 75 Catanzaro games used (CurrentSeason).

Result probabilities: Mantova 40% | Draw 28% | Catanzaro 31%. Fair-value odds: Mantova 2.50 | Draw 3.57 | Catanzaro 3.23. This is a low-confidence result — no outcome exceeds 45%. The draw at 28% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 49% | BTTS probability 54% | Total xG 2.63. Over/Under 2.5 is close to a coin-flip at 49%/51% — the total xG of 2.63 sits near the 2.5 margin; this is a low-edge market from a Poisson standpoint. BTTS probability of 54% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Final Verdict

Poisson rates Mantova as the most likely outcome at 40% — marginal model lean. Draw probability of 28% warrants consideration of Double Chance or Draw No Bet on Mantova if the outright odds are short. The opposing side holds a 31% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 2.63 xG in total — Under 2.5 at 49% — Poisson-only — limited corroboration confidence.

Poisson assigns a 54% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate: Mantova 50% | Catanzaro 60% BTTS from recent games.

The outsider holds a 31% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects.

🔮 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 (0W–1D–0W), with no clear historical advantage.
Goals H2H (4.00 goals/game) and Poisson xG (2.63) both back Over 2.5 goals (49% Poisson probability).
BTTS H2H BTTS 100% and Poisson BTTS 54% — two-way scoring is the dominant historical and model-backed outcome.

🏟️ Match Context

• Fixture: Mantova vs Catanzaro | Competition: Serie B, Regular Season - 34 | Venue: Stadio Danilo Martelli • Kick-off: Tuesday 13 May 2025, 19:30 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: Mantova 40% | Draw 28% | Catanzaro 31% • Poisson goal markets: Over 2.5 49% | BTTS 54% | xG Mantova 1.41 / Catanzaro 1.21 • Poisson strength factors: Mantova attack 1.033 / def 1.053 | Catanzaro attack 0.994 / def 1.045 | league avg home 1.309 / away 1.160 • Poisson stance: Mantova (40%) — low confidence — close contest

🧮 Prediction Model

1.41

Mantova xG

Expected Goals

1.21

Catanzaro xG

40%
28%
31%
Mantova Draw Catanzaro

54%

BTTS

75%

Over 1.5

49%

Over 2.5

27%

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 Mantova vs Catanzaro kick off?

Mantova vs Catanzaro kicked off at 19:30 on Tuesday 13 May 2025 at Stadio Danilo Martelli.

What was the final score in Mantova vs Catanzaro?

Mantova 0 - 0 Catanzaro.

Where is Mantova vs Catanzaro being played?

The match is being played at Stadio Danilo Martelli.

What competition is Mantova vs Catanzaro part of?

Mantova vs Catanzaro is a Regular Season - 34 fixture in the Serie B (Italy).

Who is favourite to win Mantova vs Catanzaro?

Our statistical model gives Mantova a 40% chance of winning, Catanzaro a 31% chance, and a 28% chance of a draw — making Mantova the favourite.

Will both teams score in Mantova vs Catanzaro?

Our model estimates a 54% probability that both Mantova and Catanzaro will score (BTTS).

Will Mantova vs Catanzaro have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 49%.

What is the head-to-head record between Mantova and Catanzaro?

Record (1 meetings): Mantova 0W | Draws 1 | Catanzaro 0W.

What form are Mantova and Catanzaro in?

Mantova (all comps): 4W-2D-4L in 10 | 1.40 PPG | GF 1.60 / GA 1.60 | L5 D-L-W-L-W. Catanzaro (all comps): 2W-4D-4L in 10 | 1.00 PPG | GF 1.60 / GA 1.90 | L5 D-L-L-D-W.

🧮 Model Insight

Where the Numbers Come From

Working from Mantova's attack rating (1.03) and Catanzaro's defence rating (1.04), the model arrives at 1.41 expected goals for the home side. Flip it around — Catanzaro's attack (0.99x) against Mantova's defence (1.05x) — and the away total comes out at 1.21.

These ratings are built from 37/75 games of current-season data — a full enough sample to trust.

The Exact-Score Picture

Run the expected-goals figures through the full scoreline distribution and 1-1 emerges as the single most likely result, at 14.0%. Close behind: 0-0 (8.8%), 2-1 (8.8%). 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

Mantova Win

40%

Mantova

2.47

28%

Draw

3.52

31%

Catanzaro

3.21

Top 3 Most Likely Scorelines

1 – 1

12.4%

Draw

Most likely

1 – 0

10.2%

Home win

0 – 1

8.8%

Away win

Expected Goals & Win Odds

1.41

Mantova xG

Total xG

2.63

1.21

Catanzaro xG

40%
28%
31%
MantovaDrawCatanzaro

2.47

40%

Home win

3.52

28%

Draw

3.21

31%

Away win

Goals Markets

74%

Over 1.5

1.35

26%

Under 1.5

3.85

49%

Over 2.5

2.04

51%

Under 2.5

1.96

27%

Over 3.5

3.70

73%

Under 3.5

1.37

13%

Over 4.5

7.69

87%

Under 4.5

1.15

Match Markets

Both Teams to Score

54%

BTTS Yes

1.84

46%

BTTS No

2.19

Clean Sheet

30%

Mantova

3.36

24%

Catanzaro

4.11

Win to Nil

12%

Mantova

8.32

8%

Catanzaro

13.20

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 7.2 8.8 5.3 2.2 0.7 0.2
1 10.2 12.4 7.5 3.0 0.9 0.2
2 7.2 8.8 5.3 2.1 0.7 0.2
3 3.4 4.1 2.5 1.0 0.3 0.1
4 1.2 1.5 0.9 0.4 0.1
5 0.3 0.4 0.2 0.1

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

Model Internals
λ Home (xG) 1.413
λ Away (xG) 1.213
Total xG 2.626
League avg home goals 1.309
League avg away goals 1.160
Mantova attack strength 1.033
Mantova defence strength 1.053
Catanzaro attack strength 0.994
Catanzaro defence strength 1.045
Data phase CurrentSeason
Games used (H/A) 37 / 75

❓ Frequently Asked Questions

What is the most likely scoreline for Mantova vs Catanzaro?

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 14.0%.

How many goals are Mantova and Catanzaro expected to score?

The model projects 1.41 expected goals for Mantova and 1.21 for Catanzaro, a combined total of 2.63.

How confident is the prediction model for Mantova vs Catanzaro?

Not very — the model's leading outcome sits at just 40%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

Recent Form Overview

Across their last 37 outings, Mantova have picked up 1.16 PPG on a 10W 13D 14L record — D-L-W-L-W across the most recent five.

Catanzaro's form line: 11W 19D 7L from 37 games, 1.41 PPG, last five D-L-L-D-W.

There isn't much between them on recent form — 1.16 PPG for Mantova against 1.41 for Catanzaro. Neither side arrives with a clear form advantage.

How They Fare by Venue

On home soil, Mantova have posted 1.67 PPG from 18 outings (8W 6D 4L). That's noticeably better than their 1.16 PPG overall — Mantova are a different proposition at home than their general record suggests.

On the road, Catanzaro have gone 4W 10D 4L from 18 away games — 1.22 PPG when travelling.

Comparing the two in their relevant venue splits, Mantova 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

Mantova are averaging 1.27 goals scored and 1.51 conceded per game recently; Catanzaro are on 1.38 scored and 1.22 conceded.

Last 37 Results — Serie B

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

Mantova

Mantova

Current Season
D L W L W
Catanzaro

Catanzaro

Current Season
D L L D W
37 Played 37
10/13/14 W / D / L 11/19/7
1.16 Points Per Game 1.41
1.27 Avg Goals Scored 1.38
1.51 Avg Goals Conceded 1.22
2.78 Avg Goals / Game 2.59
7 Clean Sheets 12
22 BTTS 21
20 Over 2.5 Games 18
Mantova

Mantova

W
H Carrarese
2–1 HT 1–0
09 May
L
A Salernitana
0–2 HT 0–1
04 May
W
H Cesena
3–0 HT 1–0
01 May
L
A Cremonese
2–4 HT 1–1
25 Apr
D
H Spezia
2–2 HT 0–1
13 Apr
W
A Brescia
2–1 HT 0–1
05 Apr
W
H Sudtirol
2–0 HT 2–0
29 Mar
L
A Pisa
1–3 HT 1–1
16 Mar
D
H Juve Stabia
1–1 HT 0–0
08 Mar
L
A Frosinone
1–2 HT 1–2
01 Mar
L
H Bari
0–1 HT 0–0
22 Feb
D
A Palermo
2–2 HT 0–1
16 Feb
L
H Sassuolo
0–3 HT 0–1
08 Feb
L
A Modena
1–3 HT 1–2
01 Feb
D
H Sampdoria
2–2 HT 0–2
25 Jan
W
A Cittadella
2–1 HT 1–0
18 Jan
D
A Cosenza
2–2 HT 1–2
12 Jan
L
H Reggiana
0–2 HT 0–1
29 Dec
D
A Spezia
1–1 HT 1–0
26 Dec
W
H Frosinone
3–1 HT 3–0
21 Dec
D
A Sudtirol
2–2 HT 1–1
14 Dec
L
H Pisa
2–3 HT 1–2
07 Dec
D
H Modena
0–0 HT 0–0
30 Nov
D
A Catanzaro
2–2 HT 1–1
23 Nov
W
H Cremonese
1–0 HT 0–0
09 Nov
L
A Sassuolo
0–1 HT 0–0
03 Nov
D
H Palermo
0–0 HT 0–0
30 Oct
L
A Sampdoria
0–1 HT 0–0
27 Oct
D
A Carrarese
1–1 HT 0–0
20 Oct
D
H Brescia
1–1 HT 0–0
06 Oct
L
A Cesena
2–4 HT 0–3
29 Sep
W
H Cittadella
1–0 HT 0–0
22 Sep
L
A Bari
0–2 HT 0–1
14 Sep
W
H Salernitana
1–0 HT 0–0
01 Sep
L
A Juve Stabia
0–1 HT 0–1
28 Aug
W
H Cosenza
3–2 HT 2–0
25 Aug
D
A Reggiana
2–2 HT 0–0
18 Aug
Catanzaro

Catanzaro

W
A Sassuolo
2–0 HT 0–0
09 May
D
H Sampdoria
2–2 HT 1–1
04 May
L
A Juve Stabia
0–2 HT 0–2
01 May
L
H Palermo
1–3 HT 0–2
27 Apr
D
A Carrarese
2–2 HT 0–1
12 Apr
D
H Bari
3–3 HT 1–1
06 Apr
L
A Modena
1–2 HT 0–1
29 Mar
W
H Cosenza
4–0 HT 1–0
16 Mar
L
A Cremonese
0–4 HT 0–1
08 Mar
D
H Reggiana
1–1 HT 0–1
02 Mar
W
A Spezia
1–0 HT 0–0
23 Feb
W
H Cittadella
1–0 HT 0–0
14 Feb
D
A Frosinone
1–1 HT 0–1
08 Feb
W
H Cesena
4–2 HT 3–1
01 Feb
W
A Brescia
3–2 HT 1–1
26 Jan
D
H Pisa
0–0 HT 0–0
19 Jan
D
A Sudtirol
1–1 HT 1–1
12 Jan
W
H Salernitana
1–0 HT 0–0
29 Dec
D
A Cosenza
1–1 HT 0–0
26 Dec
L
H Spezia
0–1 HT 0–1
21 Dec
W
A Palermo
2–1 HT 1–1
15 Dec
W
H Brescia
2–1 HT 1–1
08 Dec
D
A Sampdoria
3–3 HT 0–1
30 Nov
D
H Mantova
2–2 HT 1–1
23 Nov
D
A Reggiana
2–2 HT 1–2
10 Nov
D
H Frosinone
0–0 HT 0–0
03 Nov
D
A Pisa
0–0 HT 0–0
30 Oct
W
H Sudtirol
3–0 HT 3–0
27 Oct
D
A Bari
1–1 HT 0–1
18 Oct
D
H Modena
2–2 HT 1–1
06 Oct
D
A Salernitana
0–0 HT 0–0
29 Sep
L
H Cremonese
1–2 HT 1–1
20 Sep
D
A Cittadella
0–0 HT 0–0
14 Sep
W
H Carrarese
3–1 HT 2–1
01 Sep
L
A Cesena
0–2 HT 0–1
28 Aug
D
H Juve Stabia
0–0 HT 0–0
25 Aug
D
H Sassuolo
1–1 HT 0–1
18 Aug

❓ Frequently Asked Questions

What form are Mantova and Catanzaro in coming into this match?

Mantova have gone 10W 13D 14L in their last 37 games (1.16 PPG), while Catanzaro have gone 11W 19D 7L in their last 37 (1.41 PPG).

Which team has the better venue record — Mantova at home or Catanzaro away?

Mantova's home record (1.67 PPG) is the stronger of the two venue-specific splits — Mantova at home: 1.67 PPG; Catanzaro away: 1.22 PPG.

Have Mantova or Catanzaro been keeping clean sheets recently?

Mantova have kept a clean sheet in 19% of their recent games, Catanzaro in 32%.

⚔️ Rivalry Insight

The Rivalry So Far

These sides have met 4 times that we have on record, stretching back to November 2024 — a rivalry that has played out across roughly 1 year. Every recorded meeting has come in Serie B. They last met on 14 February 2026, roughly 7 months ago.

Notable Numbers

There's a clear current trend here: Catanzaro have taken the last 2 head-to-head results.

Specifically as hosts in this fixture, Mantova have gone 0W 1D 1L from 2 meetings on their own ground against Catanzaro — worth weighing alongside the overall series record.

Last 4 Meetings

Mantova

0

Mantova

2

Draws

Catanzaro

2

Catanzaro

Recent Meetings

Catanzaro
2–0
14 Feb 26
Mantova
Mantova
1–3
29 Oct 25
Catanzaro
Mantova
0–0
13 May 25
Catanzaro
Catanzaro
2–2
23 Nov 24
Mantova

❓ Frequently Asked Questions

What is the head-to-head record between Mantova and Catanzaro?

From 4 meetings on record, Mantova have won 0, Catanzaro have won 2, and 2 have been drawn.

When did Mantova and Catanzaro last play each other?

They last met on 14 February 2026, when Catanzaro 2-0 Mantova.

Who has won more matches between Mantova and Catanzaro?

Catanzaro have the better head-to-head record, with 2 wins from 4 meetings.

📈 Trading Insight

Early Goal Trends

Mantova see a goal before the break in 56% of their matches. They've gone in front at half-time 28% of the time. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 11% of those situations.

Catanzaro are typically involved in an early goal — the half-time board shows at least one in 67% of their matches. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 28% of those situations.

Full-Time Markets

BTTS sits in mixed territory for this pairing — Mantova 44%, Catanzaro 56% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 44% (Mantova) and 39% (Catanzaro).

On the defensive side: Mantova keep a clean sheet in 39% of their matches; Mantova have failed to score in 28% of games; Catanzaro in 33%.

📈

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

Mantova Mantova Current Season
Metric All
(37 games)
Venue
(18 games)
Half-Time Metrics
1+ Goal Before HT 25/37
(67.6%)
10/18
(55.6%)
2+ Goals Before HT 13/37
(35.1%)
5/18
(27.8%)
0-0 HT → 1+ Goal 2nd Half 10/12
(83.3%)
6/8
(75%)
0-0 HT → 2+ Goals 2nd Half 4/12
(33.3%)
2/8
(25%)
Winning at HT 7/37
(18.9%)
5/18
(27.8%)
Lost Lead (Win HT → No Win FT) 1/37
(2.7%)
0/18
(0%)
Came From Behind (Lose HT → Draw/Win FT) 5/37
(13.5%)
2/18
(11.1%)
Full-Time Metrics
BTTS 22/37
(59.5%)
8/18
(44.4%)
Over 2.5 Goals 20/37
(54.1%)
8/18
(44.4%)
Over 3.5 Goals 14/37
(37.8%)
5/18
(27.8%)
Clean Sheet 7/37
(18.9%)
7/18
(38.9%)
Failed to Score 10/37
(27%)
5/18
(27.8%)
Catanzaro Catanzaro Current Season
Metric All
(37 games)
Venue
(18 games)
Half-Time Metrics
1+ Goal Before HT 26/37
(70.3%)
12/18
(66.7%)
2+ Goals Before HT 15/37
(40.5%)
5/18
(27.8%)
0-0 HT → 1+ Goal 2nd Half 5/11
(45.5%)
3/6
(50%)
0-0 HT → 2+ Goals 2nd Half 2/11
(18.2%)
2/6
(33.3%)
Winning at HT 4/37
(10.8%)
0/18
(0%)
Lost Lead (Win HT → No Win FT) 0/37
(0%)
0/18
(0%)
Came From Behind (Lose HT → Draw/Win FT) 7/37
(18.9%)
5/18
(27.8%)
Full-Time Metrics
BTTS 21/37
(56.8%)
10/18
(55.6%)
Over 2.5 Goals 18/37
(48.6%)
7/18
(38.9%)
Over 3.5 Goals 13/37
(35.1%)
5/18
(27.8%)
Clean Sheet 12/37
(32.4%)
5/18
(27.8%)
Failed to Score 10/37
(27%)
6/18
(33.3%)

❓ Frequently Asked Questions

Do both teams usually score when Mantova play Catanzaro?

Not especially — both teams scoring has occurred in only 44% of Mantova's recent matches and 56% of Catanzaro's, a rate that leans toward BTTS No.

Is Mantova vs Catanzaro usually a high-scoring fixture?

Not particularly — Over 2.5 goals has come in for only 44% of Mantova's recent games and 39% of Catanzaro's, pointing to a tighter contest.

Do Mantova and Catanzaro tend to score early?

Mantova have had a goal before half-time in 56% of their recent matches, Catanzaro in 67% — a useful reference point for first-half goal markets.

📰

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

📝 Match Report

How It Unfolded

Mantova and Catanzaro finished level at 0-0 at Stadio Danilo Martelli, Regular Season - 34, in the Serie B. 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 Mantova 1.41 xG and Catanzaro 1.21 xG, a combined 2.63. The scoreboard read 0-0 for 0 actual goals. Mantova fell 1.4 short of their projected output. Catanzaro landed 1.2 under their projected return. Those figures were built on strength ratings of Mantova attack 1.03 / defence 1.05 against Catanzaro attack 0.99 / defence 1.04, drawn from 37/75 games (CurrentSeason).

On the result, the model split it Mantova 40% | Draw 28% | Catanzaro 31%, with Mantova to win its most likely call at 40%. The actual draw 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 49%. The game delivered 0, so it stayed under — the model's lean was correct. Over 1.5 had been 75% and missed. On both teams to score, the model sat at 54% and the match did not — a miss on BTTS. Historically the two sides average 51% Over 2.5 across their same-competition games (Mantova 54%, Catanzaro 49%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 58%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Mantova's trading profile (37 games, 18 home) set some clear expectations: BTTS lands in 60% of their matches — today it did not; they fail to score in 27% of games, a blank that repeated today.

Catanzaro's trading profile (37 games, 18 away) set some clear expectations: BTTS lands in 57% of their matches — today it did not; they keep a clean sheet 32% of the time, and duly kept one; they fail to score in 27% of games, a blank that repeated today.

Form vs Result

The form lines were close — Mantova 1.16 PPG, Catanzaro 1.41 PPG — offering no strong steer, and the draw fit that even billing. Mantova (home/away splits) managed 0 against a 1.33 scoring average — below par going forward and conceded 0 against a 1.06 average — tighter than their form line. Catanzaro (home/away splits) managed 0 against a 1.11 scoring average — below par going forward and conceded 0 against a 1.33 average — tighter than their form line.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (miss). A poor return for the projections: the match defied the majority of what the numbers expected.

💡 Key Insights

Model Over/Under 2.5 landed as modelled — 49% Over 2.5 probability, 0 goals scored.
Model BTTS bucked the model — 54% projected, one side was shut out.
Trading Trading data bucked — 51% historical Over 2.5 rate, but the 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.