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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

UEFA Europa League · 1 signals · 1 clubs in this view

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No supported compound story in this view yet. Individual signals remain available below.

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

All signals1 signals · 1 clubs

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Hapoel Beer Sheva Clean sheets 4 Last 8 recorded matches · all competitions Scores57

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 8 recorded matches · 2026-07-21 → 2026-10-15 UTC. UEFA Europa League 2026-2027: 1.43 goals per team/match, 36 matches · 2026-09-16 → 2026-10-15 UTC. Reference only: the club window spans all recorded competitions; no opponent adjustment.

Insight Score 57/100 Experimental · editorial interest
Deviation
43.6
Recency
87.6
Context
40.0
Quality
57.6

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 8 recorded matches · all competitions

Oldest → newest · scores from Hapoel Beer Sheva’s perspective. Event: Clean sheet.

Date (UTC)OpponentGF–GAEvent
2026-07-21Vikingur ReykjavikA1–2LNo
2026-07-29Vikingur ReykjavikH2–0WYes
2026-08-04FK Crvena ZvezdaH1–0WYes
2026-08-11FK Crvena ZvezdaA2–0WYes
2026-08-19Sabah FAH2–1WNo
2026-08-25Sabah FAA2–5LNo
2026-09-16Dinamo ZagrebH0–0DYes
2026-10-15AZ AlkmaarA1–2LNo
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Showing 1–1 of 1 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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