RadarFooty BackAccountRO

AC Monza – Juventus FC

Serie A · Matchday 26 · 28 Feb 2027 · kick-off time not set yet

Model estimate

i

The model's chances for a home win, a draw and an away win. ❄ = the estimate was frozen within the last hour before kick-off (the model runs hourly) and no longer changes; “provisional” = it can still change until it is frozen. How good the model is can be seen on the calibration page.

No estimate yet: the model looks 14 days ahead, and a team needs 8 matches in the model window.

In three sentences

i

Three sentences, each from a figure in our database: what happened (streaks, form or head-to-head), why it matters today (rest, congestion, table, derby) and what the model estimates. Nothing hand-written, nothing guessed.

As of today, the home side have scored in each of their last 8 matches. The away side are 7 points above the bottom three with 31 matches left. The model has no estimate for this match yet.

Form, streaks, position and points are today's (25 Oct 2026), not the ones at kick-off: before this match the home side still have 17 league matches to play, the away side 18.

League position15 vs 10
Elo rating1377 vs 1615
Last 5LWLWL homeDLWDL away
Rest days7 vs 7

Side by side at a glance

i

Both teams side by side at a glance: position, Elo, recent results, points rate, goals and rest, with the league average where it makes sense. Each number is detailed further down the page.

points rate 29% vs 50%

The home and away teams before the match, from their matches in a row. = ahead on that row. League = average over the last 12 months.

MonzaJuventusLeague
League position15th of 20 · 7 pts10th of 20 · 11 pts —
Elo rating13771615 —
Last 5LWLWLDLWDL—
Points rate (last 10)29%50% 47%
Goals scored per match (10)1.9 1.2—
Goals conceded per match (10)2.21.2 —
At venue (10): home team at home, away team away—53%51% · 43%
Both teams score (10)7 of 84 of 1049%
3+ goals in the match (10)7 of 83 of 1051%
Days of rest77—

Home side at home · visitors away n = 3 · 3

i

The home side only in its home matches, the visitors only in their away matches, this season: goals scored and conceded, how often both teams scored, how often there were 3+ goals, how often they kept a clean sheet and how often they failed to score. Under each percentage: out of how many matches, and the league average on the same matches. It describes what happened, not what comes next.

scored / match: 2.67 vs 1.33
Monza at homeJuventus away
matches33
scored / match2.67league 1.591.33league 1.41
conceded / match1.33league 1.411.33league 1.59
both scored67%2 of 3 · league 57%67%2 of 3 · league 57%
3+ goals100%3 of 3 · league 60%33%1 of 3 · league 60%
clean sheet33%1 of 3 · league 23%33%1 of 3 · league 21%
failed to score0%0 of 3 · league 21%0%0 of 3 · league 23%

Match radar

i

Six things that happened in each team's last 20 league matches before this one, next to how often they happened across the whole league in the year before the match. The further a point is from the centre, the more often it happened. It is not a rating and does not say who wins.

Wins: 25% vs 45% · league 40%

MonzaJuventusleague, year before the match · n = 194

league · Wins: 155 of 388 (40%)league · Scores: 278 of 388 (72%)league · 3+ goals: 99 of 194 (51%)league · Both teams score: 95 of 194 (49%)league · Concedes: 278 of 388 (72%)league · Leads at half-time: 117 of 388 (30%)home side · Wins: 2 of 8 (25%)home side · Scores: 8 of 8 (100%)home side · 3+ goals: 7 of 8 (88%)home side · Both teams score: 7 of 8 (88%)home side · Concedes: 7 of 8 (88%)home side · Leads at half-time: 2 of 8 (25%)away side · Wins: 9 of 20 (45%)away side · Scores: 16 of 20 (80%)away side · 3+ goals: 5 of 20 (25%)away side · Both teams score: 7 of 20 (35%)away side · Concedes: 10 of 20 (50%)away side · Leads at half-time: 8 of 20 (40%)WinsScores3+ goalsBoth teamsscoreConcedesLeads athalf-time
MonzaleagueJuventus
Winswon the match25%2 of 87–59%40%155 of 38835–45%45%9 of 2026–66%
Scoresscored at least once100%8 of 868–100%72%278 of 38867–76%80%16 of 2058–92%
3+ goalsat least 3 goals in the match, both teams (2-1 counts, 1-1 does not)88%7 of 853–98%51%99 of 19444–58%25%5 of 2011–47%
Both teams scoreboth teams scored (1-1 counts, 2-0 does not)88%7 of 853–98%49%95 of 19442–56%35%7 of 2018–57%
Concedesconceded at least once88%7 of 853–98%72%278 of 38867–76%50%10 of 2030–70%
Leads at half-timemore goals at the break (1-0 counts, 1-1 does not)25%2 of 87–59%30%117 of 38826–35%40%8 of 2022–61%

Under each percentage: the 95% confidence interval. The rings in the chart: 25, 50, 75 and 100%.

Form before the match

i

Each team's last 5 matches before this one: anywhere, and separately the home side at home / the away side away. Points, wins-draws-losses, goals.

points, last 5: 6 vs 5

Monza · Last 5, anywhere n = 5

LWLWL
6pts
2-0-3W-D-L
11:10goals

Juventus · Last 5, anywhere n = 5

DLWDL
5pts
1-2-2W-D-L
6:8goals

Monza · Last 5 at home

not enough data (3 of 5)

Juventus · Last 5 away n = 5

WDWLD
8pts
2-2-1W-D-L
7:6goals

What changed

i

Each team's direction before the match: the previous 5 matches against the last 5 (points, goals, how strong the opponents were by Elo) and how many Elo points it gained or lost. It says what happened, not why or what comes next; 5 matches are few.

Points (of 15): not enough data (8 matches in a row; the comparison needs 10) 10 → 5 vs not enough data (8 matches in a row; the comparison needs 10) 1.2 → 1.2

The previous 5 matches → the last 5, played before kick-off.

MonzaJuventus
Points (of 15)not enough data (8 matches in a row; the comparison needs 10)10 → 5 ▼
Goals scored per matchnot enough data (8 matches in a row; the comparison needs 10)1.2 → 1.2 =
Goals conceded per matchnot enough data (8 matches in a row; the comparison needs 10)0.8 → 1.6 ▲
Average Elo of the opponentsnot enough data (8 matches in a row; the comparison needs 10)1459 → 1540 tougher opponents
Elo over the last 5 matches+7 (1377)−15 (1615)

Context

i

Figures about both teams' situation before the match, in real units: days since the previous match on the calendar (league and Champions League; domestic cups are not in the free source), matches in the 7 and 14 days before, position and points distance to the important zones with matches remaining, the simulator impact when the match is near, and each team's coach on the match date with the league matches led before it (Wikidata; the current one only if football-data.org names the same person). What the free source does not give is shown as such, not hidden.

rest days: 7 vs 7
MonzaJuventus
days since last match77
matches in last 7 days11
matches in last 14 days22
position today15 (7 pts)10 (11 pts)
points off 1st1511
points off top 4106
points above bottom 337
matches left (incl. this one)1313
coach (league matches led before)Ivan Jurić
since 29 Jun 2026 · 8 matches
Luciano Spalletti
since 30 Oct 2025 · 36 matches
travel distance (away side)—≈ 140 km

Weather: the forecast appears 3 days before kick-off.

no data in the free source: absentees, starting XI.

Head-to-head

i

The latest head-to-head matches in our database, with the score and who played at home. Few matches = little information; an old result says nothing about today's.

Monza 0-0-4 (n = 4)

Monza 0-0-4 (n = 4)

homeaway
27 Apr 2025Juventus2–0Monza
22 Dec 2024Monza1–2Juventus
25 May 2024Juventus2–0Monza
1 Dec 2023Monza1–2Juventus

All 4 meetings in our database →

Ongoing streaks

i

Both teams' ongoing streaks before the match: matches in a row unbeaten, scoring, keeping a clean sheet and so on. A streak describes the past; today's match can end it.

AC Monza · scoring: 8
nowlongest in our database
AC Monzascoring89
AC Monza3+ goals57

Updated 25 Oct 2026 07:20