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Cavalry FC and Forge share the spoils in a 1-1 draw.
📝 Match Report
How It Unfolded
Cavalry FC and Forge finished level at 1-1 at ATCO Field, Regular Season - 27, in the Canadian Premier League. 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 Cavalry FC 1.65 xG and Forge 1.25 xG, a combined 2.90. The scoreboard read 1-1 for 2 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 Cavalry FC attack 1.16 / defence 0.93 against Forge attack 1.10 / defence 0.75, drawn from 54/54 games (CurrentSeason).
On the result, the model split it Cavalry FC 44% | Draw 29% | Forge 27%, with Cavalry FC to win its most likely call at 44%. The actual draw had been the model's second-ranked read at 29%, so the result diverged from the top call without being a shock.
Goals & Markets
The model rated Over 2.5 goals at 55%. The game delivered 2, so it stayed under — the opposite of the projected direction. Over 1.5 had been 81% and landed. On both teams to score, the model sat at 60% and the match saw both sides score — another call in the model's favour. Historically the two sides average 54% Over 2.5 across their same-competition games (Cavalry FC 54%, Forge 54%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 54%, which matched the both-scored outcome.
Trading Patterns vs Reality
Cavalry FC's trading profile (56 games, 28 home) set some clear expectations: BTTS lands in 61% of their matches — today it did.
Forge's trading profile (56 games, 28 away) set some clear expectations: BTTS lands in 48% of their matches — today it did; they keep a clean sheet 41% of the time, and conceded here.
Form vs Result
The form lines were close — Cavalry FC 1.68 PPG, Forge 1.86 PPG — offering no strong steer, and the draw fit that even billing.
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.