Karacabey Belediye Spor vs Serik Belediyespor Prediction — Model Probabilities
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.
Karacabey Belediye Spor v Serik Belediyespor — Team-Based Signals
Karacabey Belediye Spor vs Serik Belediyespor Head-to-Head — Last 6 Meetings
Karacabey Belediye Spor
S2-B
1-1
HT 0-0
Serik Belediyespor
S2-K
Karacabey Belediye Spor
S2-K
2-4
HT 1-3
Serik Belediyespor
S3-3P
Karacabey Belediye Spor
S3-3P
Karacabey Belediye Spor
S3-3
Karacabey Belediye Spor 1-2 Serik Belediyespor — Actual Match Statistics
Serik Belediyespor edged past Karacabey Belediye Spor 2-1 away from home. The game was level at 1-1 at the break, so the decisive goals came after it.
Our pre-match split (40% / 28% / 32%) promised a tight game; Serik Belediyespor found the edge the numbers couldn't.
Over 2.5 goals sat near a coin-flip at 48% and both teams to score was close to even at 48%.
On the day, Karacabey Belediye Spor had 57% of the ball to Serik Belediyespor's 43%, shots finished 9-12.
For context: across their last 6 meetings in our records, Serik Belediyespor led the recent series with 3 wins, 3 drawn. Those games averaged 0.83 goals for Karacabey Belediye Spor and 1.67 for Serik Belediyespor.
What was the final score of Karacabey Belediye Spor vs Serik Belediyespor?
Karacabey Belediye Spor 1-2 Serik Belediyespor in the Turkey - 2nd Division Kırmızı Grup on 05/10/2024. The analysis above shows what our model predicted before kick-off next to what actually happened.
What did the model predict for Karacabey Belediye Spor vs Serik Belediyespor?
Before kick-off our model rated a Karacabey Belediye Spor win the most likely single outcome at about 40%, with the full match-result split Karacabey Belediye Spor 40%, draw 28%, Serik Belediyespor 32%. The final score 1-2 went against our main leads this time — single matches are noisy by nature; our accuracy is measured across thousands of predictions, not one result.