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Monaco 2-1 Metz – Result & Analysis

🎯

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

Ligue 1 · Regular Season - 9

Kick-off

Sun 22 Oct 2023

16:05

Venue

Stade Louis-II

Competition

Ligue 1

France

Status

FT
💬 Comment 📡 Chat 📝 Notes
📋

Poisson model rates Monaco at 65%, yet other data sources diverge — this Monaco vs Metz fixture contains genuine analytical tension.

✍️ Match Preview

Analysis & Preview

A Ligue 1 encounter, Regular Season - 9 sees Metz travel to Stade Louis-II to take on Monaco. The game is scheduled for Sunday 22 October 2023, 16:05 UTC.

Recent Form

Across all Ligue 1 games this season, Monaco have gone 5W 2D 3L from 10 outings — a 1.70 PPG return. Last five: W D L W W. They are averaging 2.20 goals per game — a high-scoring output that makes them a genuine attacking threat in any fixture. 2 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets. This season is still relatively young for Monaco, so this record blends games from this season and last.

Monaco at Stade Louis-II this season: 5W 1D 4L from 10 home games — 1.60 PPG on home soil. At home they are averaging 1.70 goals scored and 1.40 conceded per game.

Looking at all fixtures this season, Metz stand at 4W 2D 4L from 10 Ligue 1 matches — 1.40 PPG. Last five: D W L L L. Their scoring rate of 1.10 per game is modest, conceding 1.60 — not a side to back heavily on the Over 2.5 from their form alone. 3 clean sheets from 10 outings suggests some defensive organisation. This season is still relatively young for Metz, so this record blends games from this season and last.

Metz away from home this season: 6W 2D 2L from 10 away games — 2.00 PPG on the road. Away from home they average 1.40 goals scored and 1.30 conceded per game. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context. Their away PPG of 2.00 exceeds their overall 1.40 — they actually perform better on the road than their aggregate form implies.

The form comparison is too close to call — 1.70 PPG (Monaco) versus 1.40 (Metz). When the figures are this level, no pick can be reliably derived from recent results alone.

Head to Head

The rivalry is an even one: 2 wins apiece for Monaco, 0 for Metz and 0 shared spoils from 2 past contests. Neither side holds a meaningful historical edge.

Goals have been a feature of this fixture. The last 2 meetings have averaged 3.5 per game — a rate that gives the Over 2.5 market a solid historical foundation. The most recent clash, on 3 Apr 2022, ended 2–1 with Monaco winning.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 3.5 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

In-Play Data

Monaco trading profile (46 games, 23 at home): they score before half-time in 65% of fixtures in home games; when goalless at HT, a second-half goal follows 92% of the time; two or more arrive in the second half on 62% of those occasions; BTTS occurs in 61% of their matches (home games); Over 2.5 goals lands in 70% of games (home games); Over 3.5 in 46%.

Metz trading profile (46 games, 23 at away): they score before half-time in 61% of fixtures in away games; when goalless at HT, a second-half goal follows 74% of the time; BTTS occurs in 48% of their matches (away games); Over 2.5 goals lands in 44% of games (away games); they keep a clean sheet 41% of the time.

BTTS rates are mixed from the trading data — Monaco 63% versus Metz 44%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Monaco 67% | Metz 39%).

Poisson Model

The Poisson distribution model projects Monaco 2.15 xG and Metz 0.87 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: Monaco attack 1.216 / defence 0.991 | Metz attack 0.755 / defence 1.215. League average goals — home 1.456 / away 1.161. Metz bring a strong defensive rating of 1.215 — this is suppressing Monaco's projected output below what their attack strength alone would suggest. Data: 46 Monaco games / 8 Metz games used (CurrentSeason).

Result probabilities: Monaco 65% | Draw 22% | Metz 13%. Fair-value odds: Monaco 1.54 | Draw 4.55 | Metz 7.69. The model has a clear lean to Monaco (65%) — a 52pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.

Goals markets: Over 2.5 probability 58% | BTTS probability 53% | Total xG 3.02. Over 2.5 holds a meaningful probability edge at 58% — the 3.02 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS probability of 53% is moderate — 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 Monaco at 65% — clear model lean. Draw No Bet is worth pricing alongside the outright: 22% draw probability makes the stalemate a live outcome even at this conviction level.

The Poisson model projects 3.02 xG in total — Over 2.5 at 58% — reasonable confidence, supported by form averaging 2.9 goals per game.

On the BTTS market, Poisson puts 53% on Yes. Form rates are neutral: Monaco 40% | Metz 60%.

🔮 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–0W), with no clear historical advantage.
H2H H2H history and Poisson model both point to Monaco — H2H win rate 100% vs Poisson 65%.
Goals H2H (3.50 goals/game) and Poisson xG (3.02) both back Over 2.5 goals (58% Poisson probability).
Form Monaco Poisson xG (2.15) exceeds their recent form scoring rate (1.70) — the model sees more attacking threat than recent results show.
Form Metz Poisson xG (0.87) is below their form scoring rate (1.40) — home defensive strength is discounting away goal expectation.
Prediction Poisson model strongly favours Monaco at 65% home win probability.

🏟️ Match Context

• Fixture: Monaco vs Metz | Competition: Ligue 1, Regular Season - 9 | Venue: Stade Louis-II • Kick-off: Sunday 22 Oct 2023, 16:05 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: Monaco 65% | Draw 22% | Metz 13% • Poisson goal markets: Over 2.5 58% | BTTS 53% | xG Monaco 2.15 / Metz 0.87 • Poisson strength factors: Monaco attack 1.216 / def 0.991 | Metz attack 0.755 / def 1.215 | league avg home 1.456 / away 1.161 • Poisson stance: Monaco (65%) — strong lean

🧮 Prediction Model

2.15

Monaco xG

Expected Goals

0.87

Metz xG

65%
22%
Monaco Draw Metz

53%

BTTS

82%

Over 1.5

58%

Over 2.5

36%

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 Monaco vs Metz kick off?

Monaco vs Metz kicked off at 16:05 on Sunday 22 October 2023 at Stade Louis-II.

What was the final score in Monaco vs Metz?

Monaco 2 - 1 Metz.

Where is Monaco vs Metz being played?

The match is being played at Stade Louis-II.

What competition is Monaco vs Metz part of?

Monaco vs Metz is a Regular Season - 9 fixture in the Ligue 1 (France).

Who is favourite to win Monaco vs Metz?

Our statistical model gives Monaco a 65% chance of winning, Metz a 13% chance, and a 22% chance of a draw — making Monaco the favourite.

Will both teams score in Monaco vs Metz?

Our model estimates a 53% probability that both Monaco and Metz will score (BTTS).

Will Monaco vs Metz have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 58%.

What is the head-to-head record between Monaco and Metz?

Record (2 meetings): Monaco 2W | Draws 0 | Metz 0W.

What form are Monaco and Metz in?

Monaco (all comps): 5W-2D-3L in 10 | 1.70 PPG | GF 2.20 / GA 1.50 | L5 W-D-L-W-W. Metz (all comps): 4W-2D-4L in 10 | 1.40 PPG | GF 1.10 / GA 1.60 | L5 D-W-L-L-L.

🧮 Model Insight

Model Mechanics

Working from Monaco's attack rating (1.22) and Metz's defence rating (1.22), the model arrives at 2.15 expected goals for the home side. The same calculation in reverse, Metz's attack versus Monaco's defence, projects 0.87 expected goals for the visitors.

These ratings are built from 46/8 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 2-0 emerges as the single most likely result, at 11.3%. Close behind: 1-1 (10.3%), 2-1 (9.8%). 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

Monaco Win

65%

Monaco

1.53

22%

Draw

4.58

13%

Metz

7.87

Top 3 Most Likely Scorelines

2 – 0

11.3%

Home win

Most likely

1 – 0

10.5%

Home win

2 – 1

9.8%

Home win

Expected Goals & Win Odds

2.15

Monaco xG

Total xG

3.02

0.87

Metz xG

65%
22%
13%
MonacoDrawMetz

1.53

65%

Home win

4.58

22%

Draw

7.87

13%

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

36%

Over 3.5

2.78

64%

Under 3.5

1.56

19%

Over 4.5

5.26

81%

Under 4.5

1.23

Match Markets

Both Teams to Score

53%

BTTS Yes

1.90

47%

BTTS No

2.11

Clean Sheet

42%

Monaco

2.38

12%

Metz

8.58

Win to Nil

27%

Monaco

3.64

1%

Metz

67.54

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 4.9 4.2 1.8 0.5 0.1
1 10.5 9.1 4.0 1.1 0.2
2 11.3 9.8 4.3 1.2 0.3
3 8.1 7.0 3.1 0.9 0.2
4 4.3 3.8 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) 2.150
λ Away (xG) 0.869
Total xG 3.019
League avg home goals 1.456
League avg away goals 1.161
Monaco attack strength 1.216
Monaco defence strength 0.991
Metz attack strength 0.755
Metz defence strength 1.215
Data phase CurrentSeason
Games used (H/A) 46 / 8

❓ Frequently Asked Questions

What is the most likely scoreline for Monaco vs Metz?

Our Poisson model rates 2-0 as the single most likely exact scoreline, at 11.3%.

How many goals are Monaco and Metz expected to score?

The model projects 2.15 expected goals for Monaco and 0.87 for Metz, a combined total of 3.02.

How confident is the prediction model for Monaco vs Metz?

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 46 outings, Monaco have picked up 1.78 PPG on a 24W 10D 12L record — W-D-L-W-W across the most recent five. The sample for Monaco is still a mix of this season and last, given how young the current campaign is.

Metz's form line: 22W 14D 10L from 46 games, 1.74 PPG, last five D-W-L-L-L. The sample for Metz is still a mix of this season and last, given how young the current campaign is.

Form-wise this is close to level: Monaco on 1.78 PPG, Metz on 1.74. Other factors will likely decide this one more than recent results.

Home Ground vs the Road

On home soil, Monaco have posted 1.70 PPG from 23 outings (12W 3D 8L).

On the road, Metz have gone 12W 5D 6L from 23 away games — 1.78 PPG when travelling.

The Goals Picture

Monaco are averaging 1.98 goals scored and 1.50 conceded per game recently; Metz are on 1.48 scored and 1.02 conceded.

On BTTS specifically: Monaco have seen both teams score in 63% of their recent games.

Defensively: Metz in 41% — worth knowing if you're weighing up clean-sheet or BTTS-No markets.

Last 46 Results — Ligue 1

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

Monaco

Monaco

Blended
W D L W W
Metz

Metz

Blended
D W L L L
46 Played 46
24/10/12 W / D / L 22/14/10
1.78 Points Per Game 1.74
1.98 Avg Goals Scored 1.48
1.50 Avg Goals Conceded 1.02
3.48 Avg Goals / Game 2.50
11 Clean Sheets 19
29 BTTS 20
31 Over 2.5 Games 18
Monaco

Monaco

W
A Reims
3–1 HT 1–0
07 Oct
W
H Marseille
3–2 HT 2–2
30 Sep
L
H Nice
0–1 HT 0–0
22 Sep
D
A Lorient
2–2 HT 1–1
17 Sep
W
H Lens
3–0 HT 2–0
02 Sep
D
A Nantes
3–3 HT 1–2
25 Aug
W
H Strasbourg
3–0 HT 2–0
20 Aug
W
A Clermont Foot
4–2 HT 2–1
13 Aug
L
H Toulouse
1–2 HT 0–0
03 Jun
L
A Rennes
0–2 HT 0–0
27 May
L
A Lyon
1–3 HT 1–1
19 May
D
H Lille
0–0 HT 0–0
14 May
W
A Angers
2–1 HT 1–0
07 May
L
H Montpellier
0–4 HT 0–1
30 Apr
L
A Lens
0–3 HT 0–2
22 Apr
W
H Lorient
3–1 HT 2–0
16 Apr
D
A Nantes
2–2 HT 2–0
09 Apr
W
H Strasbourg
4–3 HT 1–2
02 Apr
W
A Ajaccio
2–0 HT 1–0
19 Mar
L
H Reims
0–1 HT 0–0
12 Mar
D
A Estac Troyes
2–2 HT 0–1
05 Mar
L
H Nice
0–3 HT 0–3
26 Feb
W
A Stade Brestois 29
2–1 HT 1–0
19 Feb
W
H Paris Saint Germain
3–1 HT 3–1
11 Feb
W
A Clermont Foot
2–0 HT 2–0
05 Feb
W
H Auxerre
3–2 HT 2–0
01 Feb
D
A Marseille
1–1 HT 1–0
28 Jan
W
H Ajaccio
7–1 HT 5–1
15 Jan
D
A Lorient
2–2 HT 0–0
11 Jan
W
H Stade Brestois 29
1–0 HT 0–0
01 Jan
W
A Auxerre
3–2 HT 1–1
28 Dec
L
H Marseille
2–3 HT 1–1
13 Nov
W
A Toulouse
2–0 HT 0–0
06 Nov
W
H Angers
2–0 HT 0–0
30 Oct
L
A Lille
3–4 HT 2–2
23 Oct
D
H Clermont Foot
1–1 HT 1–0
16 Oct
W
A Montpellier
2–0 HT 1–0
09 Oct
W
H Nantes
4–1 HT 3–0
02 Oct
W
A Reims
3–0 HT 0–0
18 Sep
W
H Lyon
2–1 HT 0–0
11 Sep
W
A Nice
1–0 HT 0–0
04 Sep
L
H Estac Troyes
2–4 HT 1–2
31 Aug
D
A Paris Saint Germain
1–1 HT 1–0
28 Aug
L
H Lens
1–4 HT 1–2
20 Aug
D
H Rennes
1–1 HT 0–0
13 Aug
W
A Strasbourg
2–1 HT 1–0
06 Aug
Metz

Metz

L
H Nice
0–1 HT 0–1
07 Oct
L
A Toulouse
0–3 HT 0–2
01 Oct
L
H Strasbourg
0–1 HT 0–0
24 Sep
W
A Lens
1–0 HT 1–0
16 Sep
D
H Reims
2–2 HT 1–1
03 Sep
W
A Clermont Foot
1–0 HT 0–0
27 Aug
D
H Marseille
2–2 HT 0–1
18 Aug
L
A Rennes
1–5 HT 1–1
13 Aug
W
H Bastia
3–2 HT 1–0
02 Jun
W
A Sochaux
1–0 HT 0–0
26 May
D
A Guingamp
1–1 HT 1–0
20 May
W
H Grenoble
1–0 HT 0–0
13 May
W
A Niort
3–1 HT 1–1
06 May
D
H Paris FC
1–1 HT 1–1
29 Apr
W
A Saint Etienne
3–1 HT 3–1
22 Apr
W
H Bordeaux
3–0 HT 0–0
15 Apr
D
A PAU
1–1 HT 0–0
08 Apr
W
H Laval
1–0 HT 0–0
01 Apr
W
A Quevilly
2–1 HT 0–0
18 Mar
D
H Le Havre
1–1 HT 1–0
13 Mar
W
A Annecy
3–0 HT 1–0
04 Mar
W
H Nimes
2–0 HT 1–0
25 Feb
D
A Dijon
0–0 HT 0–0
18 Feb
D
H Caen
0–0 HT 0–0
13 Feb
W
A Amiens
2–0 HT 0–0
06 Feb
D
H Rodez
1–1 HT 0–0
31 Jan
D
A Valenciennes
1–1 HT 0–0
28 Jan
W
H Quevilly
2–0 HT 0–0
13 Jan
W
A Nimes
4–1 HT 0–0
10 Jan
W
A Grenoble
1–0 HT 0–0
30 Dec
D
H Niort
0–0 HT 0–0
26 Dec
W
A Paris FC
4–1 HT 2–1
12 Nov
W
H Saint Etienne
3–2 HT 2–1
07 Nov
L
A Le Havre
0–2 HT 0–1
24 Oct
D
H Sochaux
0–0 HT 0–0
15 Oct
L
A Bordeaux
0–2 HT 0–1
08 Oct
W
H PAU
1–0 HT 1–0
01 Oct
L
A Bastia
0–1 HT 0–1
17 Sep
L
H Guingamp
3–6 HT 3–3
12 Sep
D
H Annecy
0–0 HT 0–0
02 Sep
W
A Rodez
4–1 HT 3–0
30 Aug
L
H Dijon
1–2 HT 0–1
27 Aug
D
A Laval
3–3 HT 3–1
20 Aug
W
H Valenciennes
2–0 HT 1–0
13 Aug
L
A Caen
0–1 HT 0–1
08 Aug
W
H Amiens
3–0 HT 2–0
30 Jul

❓ Frequently Asked Questions

What form are Monaco and Metz in coming into this match?

Monaco have gone 24W 10D 12L in their last 46 games (1.78 PPG), while Metz have gone 22W 14D 10L in their last 46 (1.74 PPG).

Which team has the better venue record — Monaco at home or Metz away?

Metz's away record (1.78 PPG) is the stronger of the two venue-specific splits — Monaco at home: 1.70 PPG; Metz away: 1.78 PPG.

Have Monaco or Metz been keeping clean sheets recently?

Monaco have kept a clean sheet in 24% of their recent games, Metz in 41%.

⚔️ Rivalry Insight

A Look Back

The fixture history between Monaco and Metz runs to 6 recorded meetings, the earliest dating back to December 2021. Every recorded meeting has come in Ligue 1. They last met on 2 May 2026, roughly 3 months ago.

Digging Into the Numbers

Monaco have won the last 6 meetings between these two, a run that gives them the psychological edge coming in.

The biggest gap between the sides came on 5 Dec 2021, when Monaco won 4-0 — the largest margin of victory on record between these two.

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

Last 6 Meetings

Monaco

6

Monaco

0

Draws

Metz

0

Metz

Recent Meetings

Metz
1–2
02 May 26
Monaco
Monaco
5–2
21 Sep 25
Metz
Metz
2–5
30 Mar 24
Monaco
Monaco
2–1
22 Oct 23
Metz
Metz
1–2
03 Apr 22
Monaco
Monaco
4–0
05 Dec 21
Metz

❓ Frequently Asked Questions

What is the head-to-head record between Monaco and Metz?

From 6 meetings on record, Monaco have won 6, Metz have won 0, and 0 have been drawn.

When did Monaco and Metz last play each other?

They last met on 2 May 2026, when Metz 1-2 Monaco.

Who has won more matches between Monaco and Metz?

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

📈 Trading Insight

Half-Time Trends

Monaco are typically involved in an early goal — the half-time board shows at least one in 65% of their matches. They've gone in front at half-time 35% of the time.

Metz are typically involved in an early goal — the half-time board shows at least one in 61% of their matches. They've gone in front at half-time 30% of the time.

The Numbers That Matter

BTTS sits in mixed territory for this pairing — Monaco 61%, Metz 48% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 70% (Monaco) and 44% (Metz). Stepping up a level, Over 3.5 has also landed reasonably often — 48% and 30% respectively — worth a look for goal-hungry markets.

On the defensive side: Metz in 30%; Metz in 26%.

📈

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

Monaco Monaco Blended
Metric All
(46 games)
Venue
(23 games)
Half-Time Metrics
1+ Goal Before HT 33/46
(71.7%)
15/23
(65.2%)
2+ Goals Before HT 22/46
(47.8%)
13/23
(56.5%)
0-0 HT → 1+ Goal 2nd Half 12/13
(92.3%)
7/8
(87.5%)
0-0 HT → 2+ Goals 2nd Half 8/13
(61.5%)
4/8
(50%)
Winning at HT 19/46
(41.3%)
8/23
(34.8%)
Lost Lead (Win HT → No Win FT) 4/46
(8.7%)
1/23
(4.3%)
Came From Behind (Lose HT → Draw/Win FT) 3/46
(6.5%)
1/23
(4.3%)
Full-Time Metrics
BTTS 29/46
(63%)
14/23
(60.9%)
Over 2.5 Goals 31/46
(67.4%)
16/23
(69.6%)
Over 3.5 Goals 21/46
(45.7%)
11/23
(47.8%)
Clean Sheet 11/46
(23.9%)
5/23
(21.7%)
Failed to Score 7/46
(15.2%)
5/23
(21.7%)
Metz Metz Blended
Metric All
(46 games)
Venue
(23 games)
Half-Time Metrics
1+ Goal Before HT 27/46
(58.7%)
14/23
(60.9%)
2+ Goals Before HT 12/46
(26.1%)
7/23
(30.4%)
0-0 HT → 1+ Goal 2nd Half 14/19
(73.7%)
8/9
(88.9%)
0-0 HT → 2+ Goals 2nd Half 8/19
(42.1%)
5/9
(55.6%)
Winning at HT 14/46
(30.4%)
7/23
(30.4%)
Lost Lead (Win HT → No Win FT) 3/46
(6.5%)
2/23
(8.7%)
Came From Behind (Lose HT → Draw/Win FT) 1/46
(2.2%)
0/23
(0%)
Full-Time Metrics
BTTS 20/46
(43.5%)
11/23
(47.8%)
Over 2.5 Goals 18/46
(39.1%)
10/23
(43.5%)
Over 3.5 Goals 12/46
(26.1%)
7/23
(30.4%)
Clean Sheet 19/46
(41.3%)
7/23
(30.4%)
Failed to Score 12/46
(26.1%)
6/23
(26.1%)

❓ Frequently Asked Questions

Do both teams usually score when Monaco play Metz?

Not especially — both teams scoring has occurred in only 61% of Monaco's recent matches and 48% of Metz's, a rate that leans toward BTTS No.

Is Monaco vs Metz usually a high-scoring fixture?

Recent trends suggest it could be — Over 2.5 goals has landed in 70% of Monaco's matches and 44% of Metz's.

Do Monaco and Metz tend to score early?

Monaco have had a goal before half-time in 65% of their recent matches, Metz in 61% — a useful reference point for first-half goal markets.

📰

Prediction vindicated as Monaco edge out Metz 2-1.

📝 Match Report

How It Unfolded

Monaco beat Metz 2-1 at Stade Louis-II, Regular Season - 9, in the Ligue 1. 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 Monaco 2.15 xG and Metz 0.87 xG, a combined 3.02. The scoreboard read 2-1 for 3 actual goals. Both sides finished within a goal of their individual projections, so the scoreline sat close to the model's expected shape. Those figures were built on strength ratings of Monaco attack 1.22 / defence 0.99 against Metz attack 0.76 / defence 1.22, drawn from 46/8 games (CurrentSeason).

On the result, the model split it Monaco 65% | Draw 22% | Metz 13%, with Monaco to win its most likely call at 65%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 58%. The game delivered 3, so it went over — a call the model got right. Over 1.5 had been 82% and landed. On both teams to score, the model sat at 53% and the match saw both sides score — another call in the model's favour. Historically the two sides average 53% Over 2.5 across their same-competition games (Monaco 67%, Metz 39%), a base rate that agreed with today's over. Their combined BTTS history runs at 53%, which matched the both-scored outcome.

Trading Patterns vs Reality

Monaco's trading profile (46 games, 23 home) set some clear expectations: BTTS lands in 63% of their matches — today it did.

Metz's trading profile (46 games, 23 away) set some clear expectations: BTTS lands in 44% of their matches — today it did; they keep a clean sheet 41% of the time, and conceded here.

Form vs Result

The form lines were close — Monaco 1.78 PPG, Metz 1.74 PPG — offering no strong steer, and the Monaco win broke the near-deadlock. Metz (home/away splits) shipped 2 against a 1.13 concession average — a leakier day than usual.

Verdict

Grading the result against the stored data, 3 of 3 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit). The numbers read this fixture well — the outcome largely followed the script the data laid out beforehand.

💡 Key Insights

Model Over/Under 2.5 landed as modelled — 58% Over 2.5 probability, 3 goals scored.
Model BTTS matched the model — 53% projected, both teams scored.
Trading Trading data backed up — the sides average 53% Over 2.5 historically, and this game went over.

⚠️ 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.