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Frosinone and Cosenza share the spoils in a 2-2 draw.
📝 Match Report
How It Unfolded
The points were shared at Stadio Benito Stirpe, Regular Season - 32, as Frosinone and Cosenza drew 2-2 in the Serie B. 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 Frosinone 1.39 xG and Cosenza 1.10 xG, a combined 2.49. The scoreboard read 2-2 for 4 actual goals. Cosenza outscored their 1.10 projection by 0.9. Those figures were built on strength ratings of Frosinone attack 0.85 / defence 1.22 against Cosenza attack 0.79 / defence 1.31, drawn from 31/69 games (CurrentSeason).
On the result, the model split it Frosinone 42% | Draw 30% | Cosenza 28%, with Frosinone to win its most likely call at 42%. The actual draw had been the model's second-ranked read at 30%, so the result diverged from the top call without being a shock.
Goals & Markets
The model rated Over 2.5 goals at 45%. The game delivered 4, so it went over — the opposite of the projected direction. Over 1.5 had been 73% and landed. Over 3.5 was 24% and came in. On both teams to score, the model sat at 52% and the match saw both sides score — another call in the model's favour. Historically the two sides average 47% Over 2.5 across their same-competition games (Frosinone 54%, Cosenza 41%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 55%, which matched the both-scored outcome.
Trading Patterns vs Reality
Frosinone's trading profile (69 games, 34 home) set some clear expectations: BTTS lands in 59% of their matches — today it did.
Cosenza's trading profile (69 games, 34 away) set some clear expectations: BTTS lands in 51% of their matches — today it did.
Form vs Result
The form lines were close — Frosinone 1.03 PPG, Cosenza 1.10 PPG — offering no strong steer, and the draw fit that even billing. Cosenza (home/away splits) scored 2 against a 0.94 average — above their attacking norm.
Verdict
Grading the result against the stored data, 1 of 3 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (hit). The data was on the wrong side of this result more often than not — a reminder that a single match sits well inside the model's variance.
💡 Key Insights
⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.