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Frosinone 0-1 Monza – Result & Analysis

🎯

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

Serie B · Regular Season - 8

Kick-off

Sat 18 Oct 2025

14:00

Venue

Stadio Benito Stirpe

Competition

Serie B

Italy

Status

FT
💬 Comment 📝 Notes
📋

Poisson model rates Frosinone at 56%, yet other data sources diverge — this Frosinone vs Monza fixture contains genuine analytical tension.

✍️ Match Preview

Fixture Analysis

It is a Serie B clash, Regular Season - 8 as Frosinone welcome Monza to Stadio Benito Stirpe. Kick-off is set for Saturday 18 October 2025 at 14:00 UTC.

Form Analysis

Looking at all fixtures this season, Frosinone stand at 5W 3D 2L from 10 Serie B matches — 1.80 PPG. Last five: W D W W L. Offensively they are averaging 1.50 goals per game, with 1.00 conceded. 4 clean sheets in 10 games (40%) reflects a solid defensive base. Frosinone have played only a handful of Serie B games so far this season, so this record also draws on matches from last season.

Frosinone's home record at Stadio Benito Stirpe: 4W 6D 0L from 10 Serie B appearances (1.80 PPG). At home they are averaging 1.80 goals scored and 1.20 conceded per game. Both teams have scored in 90% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

Across all Serie B games this season, Monza have recorded 4W 2D 4L from 10 outings — 1.40 PPG. Last five: L W L D W. Their scoring rate of 1.00 per game is modest, conceding 1.20 — not a side to back heavily on the Over 2.5 from their form alone. 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. Monza have played only a handful of Serie B games so far this season, so this record also draws on matches from last season.

Monza's away record: 1W 2D 7L from 10 road trips in Serie B this season (0.50 PPG). Away from home they average 0.70 goals scored and 2.00 conceded per game. Their away PPG of 0.50 is notably below their overall 1.40 — form away from home has been a clear weakness this season.

The form figures are too closely matched to derive a directional pick: Frosinone 1.80 PPG, Monza 1.40 PPG. Look to other data sets to build the analysis.

H2H Record

The H2H landscape is flat: 4 previous encounters have yielded 2 wins for Frosinone, 2 for Monza and 0 draws. A neutral reading in isolation.

The 4 previous encounters between these sides have been high-scoring affairs — 4.0 goals per contest on average. Historical precedent backs the Over 2.5 goals market. The most recent clash, on 19 May 2024, ended 1–0 with Frosinone winning.

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.

In-Play Profile

Frosinone in-play tendencies (45 games, 22 at home): they score before half-time in 73% of fixtures in home games; when goalless at HT, a second-half goal follows 69% of the time; BTTS occurs in 64% of their matches (home games); Over 2.5 goals lands in 54% of games (home games); they fail to score in 31% of games.

Monza in-play tendencies (45 games, 22 at away): they score before half-time in 54% of fixtures in away games; when goalless at HT, a second-half goal follows 89% of the time; two or more arrive in the second half on 61% of those occasions; BTTS occurs in 54% of their matches (away games); Over 2.5 goals lands in 50% of games (away games); they fail to score in 40% of games.

BTTS rates are mixed from the trading data — Frosinone 53% versus Monza 53%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Frosinone 44% | Monza 47%).

Poisson Model

The Poisson distribution model projects Frosinone 1.85 xG and Monza 0.93 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: Frosinone attack 1.236 / defence 0.980 | Monza attack 0.852 / defence 1.104. League average goals — home 1.358 / away 1.111. Data: 45 Frosinone games / 7 Monza games used (CurrentSeason).

Result probabilities: Frosinone 56% | Draw 29% | Monza 15%. Fair-value odds: Frosinone 1.79 | Draw 3.45 | Monza 6.67. The model has a clear lean to Frosinone (56%) — a 41pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.

Goals markets: Over 2.5 probability 53% | BTTS probability 54% | Total xG 2.78. Over/Under 2.5 is close to a coin-flip at 53%/47% — the total xG of 2.78 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.

Analysis Verdict

On the Poisson output, Frosinone are the pick at 56% — clear model lean. Draw No Bet is worth pricing alongside the outright: 29% draw probability makes the stalemate a live outcome even at this conviction level.

Poisson projects 2.78 total expected goals, pointing to Over 2.5 at 53% probability — strong conviction, supported by form averaging 2.9 goals per game and H2H averaging 4.0 goals per meeting.

The Poisson model's BTTS call is Yes at 54%. Form rates corroborate: Frosinone 90% | Monza 50% BTTS from recent 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 (2W–0D–2W), with no clear historical advantage.
Goals H2H (4.00 goals/game) and Poisson xG (2.78) both back Over 2.5 goals (53% Poisson probability).
BTTS H2H BTTS 75% and Poisson BTTS 54% — two-way scoring is the dominant historical and model-backed outcome.
Prediction Poisson model strongly favours Frosinone at 56% home win probability.

🏟️ Match Context

• Fixture: Frosinone vs Monza | Competition: Serie B, Regular Season - 8 | Venue: Stadio Benito Stirpe • Kick-off: Saturday 18 Oct 2025, 14:00 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: Frosinone 56% | Draw 29% | Monza 15% • Poisson goal markets: Over 2.5 53% | BTTS 54% | xG Frosinone 1.85 / Monza 0.93 • Poisson strength factors: Frosinone attack 1.236 / def 0.980 | Monza attack 0.852 / def 1.104 | league avg home 1.358 / away 1.111 • Poisson stance: Frosinone (56%) — strong lean

🧮 Prediction Model

1.85

Frosinone xG

Expected Goals

0.93

Monza xG

56%
29%
15%
Frosinone Draw Monza

54%

BTTS

80%

Over 1.5

53%

Over 2.5

30%

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 Frosinone vs Monza kick off?

Frosinone vs Monza kicked off at 14:00 on Saturday 18 October 2025 at Stadio Benito Stirpe.

What was the final score in Frosinone vs Monza?

Frosinone 0 - 1 Monza.

Where is Frosinone vs Monza being played?

The match is being played at Stadio Benito Stirpe.

What competition is Frosinone vs Monza part of?

Frosinone vs Monza is a Regular Season - 8 fixture in the Serie B (Italy).

Who is favourite to win Frosinone vs Monza?

Our statistical model gives Frosinone a 56% chance of winning, Monza a 15% chance, and a 29% chance of a draw — making Frosinone the favourite.

Will both teams score in Frosinone vs Monza?

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

Will Frosinone vs Monza have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 53%.

What is the head-to-head record between Frosinone and Monza?

Record (4 meetings): Frosinone 2W | Draws 0 | Monza 2W.

What form are Frosinone and Monza in?

Frosinone (all comps): 5W-3D-2L in 10 | 1.80 PPG | GF 1.50 / GA 1.00 | L5 W-D-W-W-L. Monza (all comps): 4W-2D-4L in 10 | 1.40 PPG | GF 1.00 / GA 1.20 | L5 L-W-L-D-W.

🧮 Model Insight

How the Model Works This Match

Working from Frosinone's attack rating (1.24) and Monza's defence rating (1.10), the model arrives at 1.85 expected goals for the home side. The same calculation in reverse, Monza's attack versus Frosinone's defence, projects 0.93 expected goals for the visitors.

These ratings are built from 45/7 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 12.0%. Close behind: 2-0 (10.7%), 1-0 (10.1%). Those top three scorelines alone account for 33% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.

Most Likely Outcome

Frosinone Win

56%

Frosinone

1.79

29%

Draw

3.47

15%

Monza

6.55

Top 3 Most Likely Scorelines

1 – 0

11.5%

Home win

Most likely

1 – 1

10.7%

Draw

2 – 0

10.7%

Home win

Expected Goals & Win Odds

1.85

Frosinone xG

Total xG

2.78

0.93

Monza xG

56%
29%
15%
FrosinoneDrawMonza

1.79

56%

Home win

3.47

29%

Draw

6.55

15%

Away win

Goals Markets

77%

Over 1.5

1.30

23%

Under 1.5

4.35

53%

Over 2.5

1.89

47%

Under 2.5

2.13

30%

Over 3.5

3.33

70%

Under 3.5

1.43

15%

Over 4.5

6.67

85%

Under 4.5

1.18

Match Markets

Both Teams to Score

54%

BTTS Yes

1.85

46%

BTTS No

2.18

Clean Sheet

40%

Frosinone

2.53

16%

Monza

6.38

Win to Nil

22%

Frosinone

4.52

2%

Monza

41.77

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 6.2 5.8 2.7 0.8 0.2
1 11.5 10.7 4.9 1.5 0.4 0.1
2 10.7 9.9 4.6 1.4 0.3 0.1
3 6.6 6.1 2.8 0.9 0.2
4 3.0 2.8 1.3 0.4 0.1
5 1.1 1.0 0.5 0.1

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

Model Internals
λ Home (xG) 1.853
λ Away (xG) 0.927
Total xG 2.780
League avg home goals 1.358
League avg away goals 1.111
Frosinone attack strength 1.236
Frosinone defence strength 0.980
Monza attack strength 0.852
Monza defence strength 1.104
Data phase CurrentSeason
Games used (H/A) 45 / 7

❓ Frequently Asked Questions

What is the most likely scoreline for Frosinone vs Monza?

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 12.0%.

How many goals are Frosinone and Monza expected to score?

The model projects 1.85 expected goals for Frosinone and 0.93 for Monza, a combined total of 2.78.

How confident is the prediction model for Frosinone vs Monza?

Reasonably confident — the model's leading outcome is rated at 56%, a clear lean rather than a toss-up.

📈 Form Insight

Form at a Glance

Frosinone's recent record stands at 13W 18D 14L from 45 games, a 1.27 PPG return, with W-D-W-W-L in the last five. It's still early in the season for Frosinone, so this record blends in a handful of games from last season too.

Monza, meanwhile, have gone 6W 11D 28L across 45 games — 0.64 PPG, with L-W-L-D-W in their last five. It's still early in the season for Monza, so this record blends in a handful of games from last season too.

The points-per-game comparison favours Frosinone by 0.63 — a real, if not enormous, edge over Monza heading into this one.

Venue Form

At home specifically, Frosinone have managed 6W 11D 5L from 22 games — 1.32 PPG in front of their own supporters.

Monza's away record stands at 2W 6D 14L across 22 trips, a 0.55 PPG haul.

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

Goals in Recent Form

Frosinone are averaging 1.11 goals scored and 1.27 conceded per game recently; Monza are on 0.78 scored and 1.67 conceded.

Last 45 Results — Serie B

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

Frosinone

Frosinone

Early Season
W D W W L
Monza

Monza

Early Season
L W L D W
45 Played 45
13/18/14 W / D / L 6/11/28
1.27 Points Per Game 0.64
1.11 Avg Goals Scored 0.78
1.27 Avg Goals Conceded 1.67
2.38 Avg Goals / Game 2.44
11 Clean Sheets 5
24 BTTS 24
20 Over 2.5 Games 21
Frosinone

Frosinone

L
A Venezia
0–3 HT 0–2
04 Oct
W
H Cesena
3–1 HT 0–0
30 Sep
W
A Mantova
5–1 HT 4–0
27 Sep
D
H Sudtirol
2–2 HT 2–0
19 Sep
W
A Padova
1–0 HT 1–0
13 Sep
D
A Palermo
0–0 HT 0–0
30 Aug
W
H Avellino
2–0 HT 2–0
24 Aug
W
A Sassuolo
1–0 HT 1–0
13 May
L
A Palermo
0–2 HT 0–1
09 May
D
H Cittadella
1–1 HT 1–0
04 May
L
A Pisa
0–1 HT 0–0
01 May
D
H Spezia
2–2 HT 2–1
25 Apr
D
A Cesena
1–1 HT 0–1
13 Apr
D
H Cosenza
2–2 HT 1–2
05 Apr
W
A Sampdoria
3–0 HT 0–0
29 Mar
W
H Brescia
2–1 HT 1–1
15 Mar
W
A Carrarese
1–0 HT 0–0
08 Mar
W
H Mantova
2–1 HT 2–1
01 Mar
D
A Salernitana
1–1 HT 1–0
23 Feb
D
H Reggiana
1–1 HT 0–1
16 Feb
D
H Catanzaro
1–1 HT 1–0
08 Feb
L
A Bari
1–2 HT 0–1
02 Feb
L
H Sudtirol
0–3 HT 0–2
25 Jan
D
A Modena
1–1 HT 0–1
18 Jan
L
H Cremonese
0–3 HT 0–2
12 Jan
D
A Juve Stabia
1–1 HT 0–1
29 Dec
W
H Salernitana
2–0 HT 0–0
26 Dec
L
A Mantova
1–3 HT 0–3
21 Dec
L
H Sassuolo
1–2 HT 1–1
14 Dec
W
A Cosenza
1–0 HT 1–0
07 Dec
W
H Cesena
3–2 HT 2–1
01 Dec
L
A Cremonese
0–1 HT 0–0
24 Nov
D
H Palermo
1–1 HT 1–1
08 Nov
D
A Catanzaro
0–0 HT 0–0
03 Nov
D
A Sudtirol
1–1 HT 0–0
30 Oct
D
H Pisa
0–0 HT 0–0
27 Oct
L
A Reggiana
0–2 HT 0–1
20 Oct
L
H Carrarese
0–1 HT 0–0
05 Oct
W
A Cittadella
2–1 HT 1–0
27 Sep
L
H Bari
0–3 HT 0–1
22 Sep
L
A Brescia
0–4 HT 0–3
14 Sep
D
H Juve Stabia
0–0 HT 0–0
01 Sep
D
H Modena
1–1 HT 0–0
27 Aug
L
A Spezia
1–2 HT 1–0
24 Aug
D
H Sampdoria
2–2 HT 1–0
18 Aug
Monza

Monza

W
H Catanzaro
2–1 HT 1–1
04 Oct
D
A Empoli
1–1 HT 0–0
01 Oct
L
H Padova
0–1 HT 0–0
27 Sep
W
H Sampdoria
1–0 HT 0–0
20 Sep
L
A Avellino
1–2 HT 0–1
12 Sep
D
A Bari
1–1 HT 1–1
31 Aug
W
H Mantova
1–0 HT 0–0
23 Aug
L
A AC Milan
0–2 HT 0–0
24 May
L
H Empoli
1–3 HT 1–0
18 May
W
A Udinese
2–1 HT 0–0
11 May
L
H Atalanta
0–4 HT 0–2
04 May
L
A Juventus
0–2 HT 0–2
27 Apr
L
H Napoli
0–1 HT 0–0
19 Apr
L
A Venezia
0–1 HT 0–0
12 Apr
L
H Como
1–3 HT 1–2
05 Apr
L
A Cagliari
0–3 HT 0–0
30 Mar
D
H Parma
1–1 HT 0–0
15 Mar
L
A Inter
2–3 HT 2–1
08 Mar
L
H Torino
0–2 HT 0–1
02 Mar
L
A AS Roma
0–4 HT 0–2
24 Feb
D
H Lecce
0–0 HT 0–0
16 Feb
L
A Lazio
1–5 HT 0–1
09 Feb
L
H Hellas Verona
0–1 HT 0–1
01 Feb
L
A Genoa
0–2 HT 0–0
27 Jan
L
A Bologna
1–3 HT 1–2
18 Jan
W
H Fiorentina
2–1 HT 1–0
13 Jan
L
H Cagliari
1–2 HT 1–1
05 Jan
L
A Parma
1–2 HT 0–0
28 Dec
L
H Juventus
1–2 HT 1–2
22 Dec
L
A Lecce
1–2 HT 1–2
15 Dec
L
H Udinese
1–2 HT 0–1
09 Dec
D
A Como
1–1 HT 0–1
30 Nov
D
A Torino
1–1 HT 0–0
24 Nov
L
H Lazio
0–1 HT 0–1
10 Nov
L
H AC Milan
0–1 HT 0–1
02 Nov
L
A Atalanta
0–2 HT 0–0
30 Oct
D
H Venezia
2–2 HT 2–2
27 Oct
W
A Hellas Verona
3–0 HT 1–0
21 Oct
D
H AS Roma
1–1 HT 0–0
06 Oct
L
A Napoli
0–2 HT 0–2
29 Sep
L
H Bologna
1–2 HT 1–1
22 Sep
D
H Inter
1–1 HT 0–0
15 Sep
D
A Fiorentina
2–2 HT 2–1
01 Sep
L
H Genoa
0–1 HT 0–1
24 Aug
D
A Empoli
0–0 HT 0–0
17 Aug

❓ Frequently Asked Questions

What form are Frosinone and Monza in coming into this match?

Frosinone have gone 13W 18D 14L in their last 45 games (1.27 PPG), while Monza have gone 6W 11D 28L in their last 45 (0.64 PPG).

Which team has the better venue record — Frosinone at home or Monza away?

Frosinone's home record (1.32 PPG) is the stronger of the two venue-specific splits — Frosinone at home: 1.32 PPG; Monza away: 0.55 PPG.

⚔️ Rivalry Insight

Fixture History

6 meetings separate these sides on the data we hold, the series stretching back to December 2021. The pairing has crossed competitions too — Serie B, Serie A all feature in the head-to-head log. They last met on 17 January 2026, roughly 7 months ago.

Streaks & Records

The biggest gap between the sides came on 25 Apr 2022, when Frosinone won 4-1 — the largest margin of victory on record between these two.

Frosinone's record when hosting Monza specifically: 1W 0D 2L from 3 games — a narrower, venue-specific slice of the head-to-head picture.

Last 6 Meetings

Frosinone

2

Frosinone

1

Draws

Monza

3

Monza

Recent Meetings

Monza
2–2
17 Jan 26
Frosinone
Frosinone
0–1
18 Oct 25
Monza
Monza
0–1
19 May 24
Frosinone
Frosinone
2–3
06 Jan 24
Monza
Frosinone
4–1
25 Apr 22
Monza
Monza
3–2
11 Dec 21
Frosinone

❓ Frequently Asked Questions

What is the head-to-head record between Frosinone and Monza?

From 6 meetings on record, Frosinone have won 2, Monza have won 3, and 1 have been drawn.

When did Frosinone and Monza last play each other?

They last met on 17 January 2026, when Monza 2-2 Frosinone.

Who has won more matches between Frosinone and Monza?

Monza have the better head-to-head record, with 3 wins from 6 meetings.

📈 Trading Insight

First-Half Patterns

Frosinone are typically involved in an early goal — the half-time board shows at least one in 73% of their matches. They've gone in front at half-time 36% of the time, though they've let that lead slip 23% of the time they've held it — worth watching if they're only ahead by one.

Monza see a goal before the break in 54% of their matches.

Full-Time Trends

BTTS sits in mixed territory for this pairing — Frosinone 64%, Monza 54% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 54% (Frosinone) and 50% (Monza).

On the defensive side: Frosinone have failed to score in 27% of games; Monza in 41%.

📈

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

Frosinone Frosinone Early Season
Metric All
(45 games)
Venue
(22 games)
Half-Time Metrics
1+ Goal Before HT 32/45
(71.1%)
16/22
(72.7%)
2+ Goals Before HT 15/45
(33.3%)
11/22
(50%)
0-0 HT → 1+ Goal 2nd Half 9/13
(69.2%)
4/6
(66.7%)
0-0 HT → 2+ Goals 2nd Half 5/13
(38.5%)
3/6
(50%)
Winning at HT 15/45
(33.3%)
8/22
(36.4%)
Lost Lead (Win HT → No Win FT) 7/45
(15.6%)
5/22
(22.7%)
Came From Behind (Lose HT → Draw/Win FT) 5/45
(11.1%)
2/22
(9.1%)
Full-Time Metrics
BTTS 24/45
(53.3%)
14/22
(63.6%)
Over 2.5 Goals 20/45
(44.4%)
12/22
(54.5%)
Over 3.5 Goals 9/45
(20%)
6/22
(27.3%)
Clean Sheet 11/45
(24.4%)
4/22
(18.2%)
Failed to Score 14/45
(31.1%)
6/22
(27.3%)
Monza Monza Early Season
Metric All
(45 games)
Venue
(22 games)
Half-Time Metrics
1+ Goal Before HT 27/45
(60%)
12/22
(54.5%)
2+ Goals Before HT 15/45
(33.3%)
8/22
(36.4%)
0-0 HT → 1+ Goal 2nd Half 16/18
(88.9%)
9/10
(90%)
0-0 HT → 2+ Goals 2nd Half 11/18
(61.1%)
8/10
(80%)
Winning at HT 5/45
(11.1%)
3/22
(13.6%)
Lost Lead (Win HT → No Win FT) 3/45
(6.7%)
2/22
(9.1%)
Came From Behind (Lose HT → Draw/Win FT) 1/45
(2.2%)
1/22
(4.5%)
Full-Time Metrics
BTTS 24/45
(53.3%)
12/22
(54.5%)
Over 2.5 Goals 21/45
(46.7%)
11/22
(50%)
Over 3.5 Goals 9/45
(20%)
5/22
(22.7%)
Clean Sheet 5/45
(11.1%)
2/22
(9.1%)
Failed to Score 18/45
(40%)
9/22
(40.9%)

❓ Frequently Asked Questions

Do both teams usually score when Frosinone play Monza?

Yes — based on recent matches, both teams have scored in 64% of Frosinone's games and 54% of Monza's, a combined rate that favours BTTS Yes.

Is Frosinone vs Monza usually a high-scoring fixture?

Not particularly — Over 2.5 goals has come in for only 54% of Frosinone's recent games and 50% of Monza's, pointing to a tighter contest.

Do Frosinone and Monza tend to score early?

Frosinone have had a goal before half-time in 73% of their recent matches, Monza in 54% — a useful reference point for first-half goal markets.

📰

Shock result as Monza defy the odds to beat Frosinone 0-1.

📝 Match Report

How It Unfolded

Monza beat Frosinone 0-1 at Stadio Benito Stirpe, Regular Season - 8, in the Serie B. 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 Frosinone 1.85 xG and Monza 0.93 xG, a combined 2.78. The scoreboard read 0-1 for 1 actual goal. Frosinone fell 1.9 short of their projected output. Those figures were built on strength ratings of Frosinone attack 1.24 / defence 0.98 against Monza attack 0.85 / defence 1.10, drawn from 45/7 games (CurrentSeason).

On the result, the model split it Frosinone 56% | Draw 29% | Monza 15%, with Frosinone to win its most likely call at 56%. Instead the game produced a Monza win, an outcome the model had rated at just 15% — a clear break from expectation and a genuine upset by the numbers.

Goals & Markets

The model rated Over 2.5 goals at 53%. The game delivered 1, so it stayed under — the opposite of the projected direction. Over 1.5 had been 80% 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 46% Over 2.5 across their same-competition games (Frosinone 44%, Monza 47%), 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

Frosinone's trading profile (45 games, 22 home) set some clear expectations: BTTS lands in 53% of their matches — today it did not; they fail to score in 31% of games, a blank that repeated today.

Monza's trading profile (45 games, 22 away) set some clear expectations: BTTS lands in 53% of their matches — today it did not.

Form vs Result

On form, Frosinone arrived the stronger side — 1.27 PPG against 0.64. Form was overturned, with Monza winning despite arriving in poorer recent shape. Frosinone (home/away splits) managed 0 against a 1.27 scoring average — below par going forward. Monza (home/away splits) conceded 0 against a 1.91 average — tighter than their form line.

Verdict

Grading the result against the stored data, 0 of 4 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (miss), form (miss). 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

Model Goals market defied the model — 53% Over 2.5 probability, but 1 goal scored.
Model BTTS bucked the model — 54% projected, one side was shut out.
Trading Trading data backed up — the sides average 46% 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.