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Insights.

Go beyond the result. Follow the patterns. See the evidence.

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Competition selects current clubs. Result windows include all recorded competitions; points comparisons use covered current-league matches.

League insights

Serie A · 4 signals · 1 clubs in this view

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Automatically selected connections · one story per club · experimental Insight Score orders stories, not teams.

JuventusDefensive consistency, positive chance balanceInsight Score62/100

Clean sheets and low goals conceded accompany a positive observed xG balance. The xG profile describes overall chance balance; it is not, by itself, proof of strong defending.

Clean sheetsLast 9 recorded matches · 2026-08-23 → 2026-10-18 UTC
Recorded scores · all competitions
4/9
Goals conceded / matchLast 9 recorded matches · 2026-08-23 → 2026-10-18 UTC
Recorded scores · all competitions
1.0
Observed xG difference / match10-match profile · exact dates unavailable
Observed match xG · available averages
+0.89
Sources, limitations & score
Insight Score 62/100 Experimental · editorial interest
Deviation
59.3
Recency
48.4
Context
80.0
Quality
65.0

Uncalibrated selection heuristic. Not team strength, win probability or statistical significance. Sources keep their own windows; overlapping scorelines and forecast gaps receive reduced context credit.

  • Clean sheets — Serie A 2026-2027: 1.48 goals per team/match, 70 matches · 2026-08-22 → 2026-10-19 UTC. Reference only: the club window spans all recorded competitions; no opponent adjustment.
  • Goals conceded / match — Serie A 2026-2027: 1.48 goals per team/match, 70 matches · 2026-08-22 → 2026-10-19 UTC. Reference only: the club window spans all recorded competitions; no opponent adjustment.
  • Observed xG difference / match — Before next/latest league fixture, not necessarily current UTC. xG for 1.5; xG against 0.61. Coverage counts are unavailable and denominators can differ. Recency receives zero for this undated source; quality is capped at 40.

Each signal belongs to one category. Categories sum to All signals; stories combine related evidence across categories.

All signals4 signals · 1 clubs

Select a row to explore the evidence. Scroll to see all columns →

Juventus xG difference per match +0.89 Underlying performance · 10-match window Observed xG37

Chance creation is ahead of chances allowed in the observed playing-style profile. This describes the balance of chances, rather than the final scores.

Observed match xG · available averages · 10-match profile · exact dates unavailable. Before next/latest league fixture, not necessarily current UTC. xG for 1.5; xG against 0.61. Coverage counts are unavailable and denominators can differ. Recency receives zero for this undated source; quality is capped at 40.

Insight Score 37/100 Experimental · editorial interest
Deviation
59.3
Recency
0.0
Context
40.0
Quality
40.0

Uncalibrated selection heuristic. Not team strength, win probability or statistical significance. Sources keep their own windows; overlapping scorelines and forecast gaps receive reduced context credit.

Underlying performance · 10-match window

xG for
1.50
xG against
0.61

Difference of observed averages; xG coverage can differ between the two metrics. Profile is before the next or latest league fixture, not necessarily current UTC.

Full club analysis →
Juventus Clean sheets 4 Last 9 recorded matches · all competitions Scores65

Matches without conceding stand out in the recent results. Clean sheets count outcomes; they do not measure the quality of chances allowed.

Recorded scores · all competitions · Last 9 recorded matches · 2026-08-23 → 2026-10-18 UTC. Serie A 2026-2027: 1.48 goals per team/match, 70 matches · 2026-08-22 → 2026-10-19 UTC. Reference only: the club window spans all recorded competitions; no opponent adjustment.

Insight Score 65/100 Experimental · editorial interest
Deviation
43.0
Recency
96.8
Context
40.0
Quality
90.0

Uncalibrated selection heuristic. Not team strength, win probability or statistical significance. Sources keep their own windows; overlapping scorelines and forecast gaps receive reduced context credit.

Last 9 recorded matches · all competitions

Oldest → newest · scores from Juventus’s perspective. Event: Clean sheet.

Date (UTC)OpponentGF–GAEvent
2026-08-23FrosinoneA1–0WYes
2026-08-29ParmaH2–0WYes
2026-09-06AC MilanH1–1DNo
2026-09-13SassuoloA2–3LNo
2026-09-17NEC NijmegenH5–0WYes
2026-09-20AtalantaH2–0WYes
2026-10-11CagliariA1–1DNo
2026-10-15Celta VigoA2–1WNo
2026-10-18LazioH0–3LNo
Full club analysis →
Juventus Goals conceded per match 1.0 Last 9 recorded matches · all competitions Scores57

This conceding average meets the low-goals signal threshold. Compare it with the league reference; opponent strength and chance quality are not adjusted.

Recorded scores · all competitions · Last 9 recorded matches · 2026-08-23 → 2026-10-18 UTC. Serie A 2026-2027: 1.48 goals per team/match, 70 matches · 2026-08-22 → 2026-10-19 UTC. Reference only: the club window spans all recorded competitions; no opponent adjustment.

Insight Score 57/100 Experimental · editorial interest
Deviation
20.0
Recency
96.8
Context
40.0
Quality
90.0

Uncalibrated selection heuristic. Not team strength, win probability or statistical significance. Sources keep their own windows; overlapping scorelines and forecast gaps receive reduced context credit.

Last 9 recorded matches · all competitions

Oldest → newest · scores from Juventus’s perspective.

Date (UTC)OpponentGF–GA
2026-08-23FrosinoneA1–0W
2026-08-29ParmaH2–0W
2026-09-06AC MilanH1–1D
2026-09-13SassuoloA2–3L
2026-09-17NEC NijmegenH5–0W
2026-09-20AtalantaH2–0W
2026-10-11CagliariA1–1D
2026-10-15Celta VigoA2–1W
2026-10-18LazioH0–3L
Full club analysis →
Juventus Goals scored per match 1.8 Last 9 recorded matches · all competitions Scores55

This scoring average meets the descriptive signal threshold and includes games without a goal. Compare it with the league reference before treating it as exceptional; opposition is not adjusted.

Recorded scores · all competitions · Last 9 recorded matches · 2026-08-23 → 2026-10-18 UTC. Serie A 2026-2027: 1.48 goals per team/match, 70 matches · 2026-08-22 → 2026-10-19 UTC. Reference only: the club window spans all recorded competitions; no opponent adjustment.

Insight Score 55/100 Experimental · editorial interest
Deviation
12.5
Recency
96.8
Context
40.0
Quality
90.0

Uncalibrated selection heuristic. Not team strength, win probability or statistical significance. Sources keep their own windows; overlapping scorelines and forecast gaps receive reduced context credit.

Last 9 recorded matches · all competitions

Oldest → newest · scores from Juventus’s perspective.

Date (UTC)OpponentGF–GA
2026-08-23FrosinoneA1–0W
2026-08-29ParmaH2–0W
2026-09-06AC MilanH1–1D
2026-09-13SassuoloA2–3L
2026-09-17NEC NijmegenH5–0W
2026-09-20AtalantaH2–0W
2026-10-11CagliariA1–1D
2026-10-15Celta VigoA2–1W
2026-10-18LazioH0–3L
Full club analysis →

Showing 1–4 of 4 signals

About these insights
A little context goes a long way

Read the signal. Keep the context.

Insights describe what is recorded. Use club and match analysis to explore what comes next.

Insight Score · experimental editorial interest. This version uses 0.35D + 0.25R + 0.20C + 0.20Q. D measures heuristic deviation, R observation recency, C breadth of evidence families and Q data quality. These starting weights are uncalibrated. It is neither team strength, win probability, statistical significance nor forecast confidence. Related result signals share one family; different sources are not automatically statistically independent. Unknown dates receive zero recency; unknown xG coverage limits its quality component. League averages are context references, not opponent-adjusted estimates.

01

Check the window

Result signals use the last 10 recorded matches; away signals use the last 8 away matches. At least 5 are required. Missing and special results are excluded. A 10+ streak is a lower bound.

02

Read the chart

Bars run oldest to newest. Height shows goals scored or conceded, capped at 6; zero keeps a marker. Teal / amber / red means win / draw / loss. Faded bars mean the event did not happen. Open the evidence for full scores.

03

Separate the sources

xG uses observed Playing style averages before the next or latest league fixture; coverage can differ between inputs. xPts comes from stored LOAD90 forecasts on identical covered games, including labelled historical reconstructions.

Types alternate for variety. Values are ordered within their own metric, without a combined ranking. These descriptive signals do not change the LOAD90 forecast.

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