Statistics / Football / Japan. WE League / INAC Kobe Leonessa W vs Sanfrecce Hiroshima W

INAC Kobe Leonessa W vs Sanfrecce Hiroshima W Statistics & Analysis

May 16, 2026 - 04:00
0 1.45
1 1.25
xG Accuracy: 63%
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Under 2.5 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 INAC Kobe Leonessa W Sanfrecce Hiroshima W ✖ Incorrect
  • Correct Score Insights 1-0 0-1 ✖ Incorrect

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: WE League
  • Fixture: INAC Kobe Leonessa W vs Sanfrecce Hiroshima W
  • Kickoff: 2026-05-16 04:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): INAC Kobe Leonessa W 1.45 — Sanfrecce Hiroshima W 1.25 (total xG ≈ 2.7)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 46.9% · Over 2.5 53.1%); BTTS Yes (Yes 71.2% · No 28.8%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 71.2% · No 28.8%
  • Correct score (top bin): 1-1 (11.2%)

The decision block shows no default bet: no tracked line clears the headline minimum +EV threshold at the best prices we have (a leg can still show small +EV below that bar). Lean labels are directional only — not bankroll-sized recommendations.

Prefer skipping to over-staking when the engine is honest about missing edge.

Best Bet + Reason

No clear +EV headline on this snapshot.

When 1X2 is tight, prices often already embed the uncertainty — all three legs can be −EV, or show only small +EV that still fails the headline threshold — respect that when sizing.

Correct-score markets remain high-variance even when one scoreline leads the table.

FAQ

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

Is the most likely correct score still relevant?

As context only: it is still a low absolute probability tail outcome (often in the single digits, sometimes low teens). It does not override the “no headline +EV” stance — treat score bets as fun-sized if you play them at all.

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

Why is there no “best bet” on this page?

The headline engine uses a minimum +EV threshold (e.g. 2%) for a default pick. A line can still show tiny +EV that fails that bar — we still call it no default bet so readers do not over-size thin edges.

Risk Factors

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 18, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics
WE League WE LeagueStandings
# TEAM MP W D L PTS
1 INAC Kobe Leonessa W 22 17 2 3 53
2 Urawa Reds W 22 14 2 6 44
3 Tokyo Verdy Beleza W 22 13 2 7 41
4 Sanfrecce Hiroshima W 22 10 8 4 38
5 Vegalta Sendai W 22 9 7 6 34
6 Albirex Niigata W 22 9 4 9 31
7 Omiya Ardija Ventus W 22 6 9 7 27
8 Nojima Stella W 22 8 3 11 27
9 JEF United W 22 6 6 10 24
10 Cerezo Osaka W 22 5 6 11 21
11 Elfen Saitama W 22 5 3 14 18
12 Parceiro Nagano W 22 2 4 16 10
# TEAM MP GS GC +/- PTS
1 INAC Kobe Leonessa W 22 50 13 +37 53
2 Urawa Reds W 22 46 15 +31 44
3 Tokyo Verdy Beleza W 22 44 23 +21 41
4 Sanfrecce Hiroshima W 22 30 20 +10 38
5 Nojima Stella W 22 28 34 -6 27
6 Omiya Ardija Ventus W 22 24 28 -4 27
7 Albirex Niigata W 22 23 27 -4 31
8 Vegalta Sendai W 22 22 19 +3 34
9 Cerezo Osaka W 22 20 34 -14 21
10 Elfen Saitama W 22 20 37 -17 18
11 JEF United W 22 16 34 -18 24
12 Parceiro Nagano W 22 16 55 -39 10