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Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

K League 1 · Regular Season - 5

Kick-off

Sat 15 Mar 2025

07:30

Venue

DGB Daegu Bank Park

Competition

K League 1

South-Korea

Status

FT
📰

Shock result as FC Anyang defy the odds to beat Daegu FC 0-1.

📝 Match Report

How It Unfolded

FC Anyang beat Daegu FC 0-1 at DGB Daegu Bank Park, Regular Season - 5, in the K League 1. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting Daegu FC 1.74 xG and FC Anyang 1.08 xG, a combined 2.82. The scoreboard read 0-1 for 1 actual goal. Daegu FC fell 1.7 short of their projected output. Those figures were built on strength ratings of Daegu FC attack 1.30 / defence 1.06 against FC Anyang attack 0.91 / defence 1.17, drawn from 37/4 games (Blended).

On the result, the model split it Daegu FC 53% | Draw 24% | FC Anyang 24%, with Daegu FC to win its most likely call at 53%. Instead the game produced a FC Anyang win, an outcome the model had rated at just 24% — a clear break from expectation and a genuine upset by the numbers.

Goals & Markets

The model rated Over 2.5 goals at 54%. The game delivered 1, so it stayed under — against the model's lean. Over 1.5 had been 77% and missed. On both teams to score, the model sat at 54% and the match did not — a miss on BTTS.

Verdict

Grading the result against the stored data, 0 of 3 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (miss). This one broke away from the data — most of the pre-match signals were overturned by how the ninety minutes actually played out.

💡 Key Insights

Model Goals market defied the model — 54% Over 2.5 probability, but 1 goal scored.
Model BTTS bucked the model — 54% projected, one side was shut out.

⚠️ 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.