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Prediction vindicated as Valerenga edge out Sandefjord 2-1.

📝 Match Report

How It Unfolded

Valerenga beat Sandefjord 2-1 at Intility Arena, Regular Season - 16, in the Eliteserien. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.

The Model vs The Result

The Poisson model went into this projecting Valerenga 1.64 xG and Sandefjord 1.32 xG, a combined 2.96. The scoreboard read 2-1 for 3 actual goals. Both sides finished within a goal of their individual projections, so the scoreline sat close to the model's expected shape. Those figures were built on strength ratings of Valerenga attack 0.97 / defence 1.19 against Sandefjord attack 0.80 / defence 1.04, drawn from 16/45 games (CurrentSeason).

On the result, the model split it Valerenga 45% | Draw 24% | Sandefjord 31%, with Valerenga to win its most likely call at 45%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 57%. The game delivered 3, so it went over — a call the model got right. Over 1.5 had been 80% and landed. On both teams to score, the model sat at 59% and the match saw both sides score — another call in the model's favour. Historically the two sides average 53% Over 2.5 across their same-competition games (Valerenga 44%, Sandefjord 62%), a base rate that agreed with today's over. Their combined BTTS history runs at 50%, which matched the both-scored outcome.

Trading Patterns vs Reality

Valerenga's trading profile (16 games, 7 home) set some clear expectations: BTTS lands in 56% of their matches — today it did.

Sandefjord's trading profile (16 games, 7 away) set some clear expectations: BTTS lands in 44% of their matches — today it did; they keep a clean sheet 38% of the time, and conceded here.

Form vs Result

On form, Sandefjord arrived the stronger side — 1.69 PPG against 1.12. Form was overturned, with Valerenga winning despite arriving in poorer recent shape.

Verdict

Grading the result against the stored data, 3 of 4 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit), form (miss). The model got the gist right while missing on the margins.

💡 Key Insights