“Frankfurt's model probability of 52.02% home win significantly outweighs Köln's 26.22%, supported by Frankfurt's superior Elo rating (1397.9 vs 1352.4) and better attack/defence ratings.”

“The model gives Frankfurt a 52.0% chance to win, and their Elo rating (1397.9) is significantly higher than Koln's (1352.4).”

“Ein Frankfurt has a 52.02% chance of winning according to our model, significantly higher than FC Koln's 26.22%.”

“The model predicts Over 2.5 goals with a 72.4% probability, supported by both teams having poor defensive ratings above 1.6.”

“The model gives Ein Frankfurt 52.02% to win vs Koln 26.22% (draw 21.76%), while BTTS is 67.7% and Over 2.5 is 72.43%.”

“Model gives home 52% (Elo 1398 vs 1352) with BTTS Y at 67.7% and OU25 O at 72.4%; both sides' recent high-scoring/leaky form (Frankfurt 0-6, 2-2, 3-3; Köln 3-2, 1-5) supports goals.”

“Model gives Ein Frankfurt 52.0% win probability vs market 52.0%, with minimal edge of 0.03%.”

“Model predicts a high probability of BTTS (0.677) and Over 2.5 goals (0.7243).”

“Home team has 52% model probability for 1X2 win and stronger attack/defence ratings (1.127/1.781 vs 0.899/1.609).”

“The model gives BTTS Y a 67.7% chance, significantly higher than the 1X2 or OU25 edges, and both teams have shown vulnerability in defense recently.”