.png)
.png)
Mynavi Sendai (K) vs AS Elfen Saitama (K) Prediction — Model Probabilities
The bookmaker priced every market fairly — no dependable value at these odds, so skipping is the disciplined play.
Our call is our best estimate of the outcome; a value flag is a separate, rarer judgement about the price.
Edge (pp): green = we see more probability than the market · gold = essentially even (±0.5pp) · red = we see less. The Decision above outranks any single row: the engine backs well-supported edges, not merely big ones.
Mynavi Sendai (K) v AS Elfen Saitama (K) — Team-Based Signals
Mynavi Sendai (K) vs AS Elfen Saitama (K) Head-to-Head — Last 4 Meetings
_small.png)
_small.png)
Mynavi Sendai (K) 2-3 AS Elfen Saitama (K) — Actual Match Statistics
AS Elfen Saitama (K) squeezed past Mynavi Sendai (K) 3-2 away from home. The game was level at 0-0 at the break, so the decisive goals came after it. 5 goals made it one of the day's more open games.
We called this one close before kick-off — 40% / 31% / 29% — and on the day AS Elfen Saitama (K) made the difference. The goals read — under 2.5 goals (56%) — went the other way, though.
On the day, Mynavi Sendai (K) had 56% of the ball to AS Elfen Saitama (K)'s 44%, shots finished 7-8.
Coming into the game, across their last 4 meetings in our records, Mynavi Sendai (K) had the better of it with 3 wins. Those games averaged 1.75 goals for Mynavi Sendai (K) and 1.75 for AS Elfen Saitama (K).
What was the final score of Mynavi Sendai (K) vs AS Elfen Saitama (K)?
Mynavi Sendai (K) 2-3 AS Elfen Saitama (K) in the Japan - WE League Women's on 16/05/2026. The analysis above shows what our model predicted before kick-off next to what actually happened.
What did the model predict for Mynavi Sendai (K) vs AS Elfen Saitama (K)?
Before kick-off our model rated a Mynavi Sendai (K) win the most likely single outcome at about 40%, with the full match-result split Mynavi Sendai (K) 40%, draw 31%, AS Elfen Saitama (K) 29%. The final score 2-3 went against our main leads this time — single matches are noisy by nature; our accuracy is measured across thousands of predictions, not one result.