Parceiro Nagano (K) vs Nojima Stella (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.
Parceiro Nagano (K) v Nojima Stella (K) — Team-Based Signals
Parceiro Nagano (K) vs Nojima Stella (K) Head-to-Head — Last 2 Meetings
Parceiro Nagano (K) 2-3 Nojima Stella (K) — Actual Match Statistics
Nojima Stella (K) edged past Parceiro Nagano (K) 3-2 away from home. The game was level at 1-1 at the break, so the decisive goals came after it. 5 goals made it one of the day's more open games.
Our pre-match lean was Parceiro Nagano (K) at 46%, but a lead that slim is closer to a coin-flip than a call — and it fell the other way. The goals read — under 2.5 goals (58%), no to both teams scoring (59%) — went the other way, though.
On the day, Parceiro Nagano (K) had 47% of the ball to Nojima Stella (K)'s 53%, shots finished 11-15.
Coming into the game, across their last 2 meetings in our records, Nojima Stella (K) led the recent series with 1 wins, 1 drawn. Those games averaged 1.50 goals for Parceiro Nagano (K) and 2.00 for Nojima Stella (K).
What was the final score of Parceiro Nagano (K) vs Nojima Stella (K)?
Parceiro Nagano (K) 2-3 Nojima Stella (K) in the Japan - WE League Women's on 10/11/2024. The analysis above shows what our model predicted before kick-off next to what actually happened.
What did the model predict for Parceiro Nagano (K) vs Nojima Stella (K)?
Before kick-off our model rated a Parceiro Nagano (K) win the most likely single outcome at about 46%, with the full match-result split Parceiro Nagano (K) 46%, draw 26%, Nojima Stella (K) 28%. 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.