Statistics / Football / Japan. WE League / Elfen Saitama W vs INAC Kobe Leonessa W

Elfen Saitama W vs INAC Kobe Leonessa W Statistics & Analysis

May 10, 2026 - 05:00
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 Elfen Saitama W INAC Kobe Leonessa W ✖ Incorrect
  • Correct Score Insights 0-2 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: Elfen Saitama W vs INAC Kobe Leonessa W
  • Kickoff: 2026-05-09 04:00:00
  • 1X2 (model): Home 0.0% · Draw 50.0% · Away 50.0%
  • xG (showing): Elfen Saitama W 1.45 — INAC Kobe Leonessa 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 48.1% · Over 2.5 51.9%); BTTS Yes (Yes 52.1% · No 47.9%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 52.1% · No 47.9%
  • Correct score (top bin): 0-1 (12.8%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Best Bet + Reason

Skip unless odds move — the engine sees no line clearing the +EV gate.

Treat this page as a read-only diagnostic: totals/BTTS structure can be informative even when the honest answer is to wait.

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

FAQ

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.

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.

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

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 17, 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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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