Chicago Bears vs Pittsburgh Steelers Prediction & Picks : Smart Props & Lines

Looking at the data, the bet on Cole Kmet for "Under 14.5" in the 'player_reception_yds' market makes sense statistically. Kmet's recent performance shows a consistent trend of falling below this threshold. Over the last 20 games, he has only exceeded 14.5 receiving yards 5 times overall and 4 times at home. Moreover, in his last 10 games, he only surpassed this mark once overall and twice at home. His recent performance is even less promising, with no successful hits in the last 3 or 5 games both overall and at home. This suggests that Kmet is not frequently involved in the Bears' passing game or is not capitalizing on his targets. Taken together, these statistics indicate a strong likelihood that Kmet will not surpass 14.5 receiving yards in the upcoming game against the Steelers.

D'Andre Swift (CHI) Yes Anytime Touchdown Scorer (+115)

Based on the data provided, betting on D'Andre Swift to score a touchdown anytime during the Chicago Bears vs Pittsburgh Steelers game appears to be a risky proposition. Swift's recent performance data shows a lack of touchdown scoring, with no touchdowns in his last five games overall or at home. His hit rate over his last 10 games overall (10%) and at home (20%) are also not impressive. His longer-term hit rate, either overall (33%) or at home (41%), is slightly better but still relatively low. Moreover, Swift is currently on a zero-hit streak both overall and at home. Although the model suggests a slight edge of 0.037, his recent performance doesn't instill a lot of confidence for this bet, and it might be wise to consider other options for the 'player_anytime_td' market.

D'Andre Swift (CHI) Yes Anytime Touchdown Scorer (+115)

The statistical data for D'Andre Swift scoring a touchdown at any time during the Chicago Bears vs Pittsburgh Steelers game does not support a positive outlook. Swift's current hit streak stands at zero both overall and at home. Over his last 20 games, Swift has scored a touchdown just 3 times overall and 6 times at home. His performance in recent games is even less encouraging, with zero touchdowns in his last 5 games overall and at home. Looking at his overall hit rates, Swift has scored a touchdown in approximately 33% of his home games and around 33% of his games overall. This data suggests that the probability of Swift scoring a touchdown in the upcoming match is relatively low. Therefore, based on these statistics, betting on Swift to score a touchdown anytime during this game may not be a favorable wager.

Chicago Bears vs Pittsburgh Steelers : NA -2.5 Point Spread (-115)

The bet on Chicago Bears -2.5 in the 'spreads' market is substantiated by several factors. Firstly, the Bears have a more impressive recent home record (3-2) than the away team's recent away record (2-3). The Bears' average score for (26.4) and against (24.6) over the last five games suggests they're outscoring their opponents, while the away team's score for (25.4) and against (25) remains balanced. Furthermore, the Bears have a better EPA for (5.68) and against (2.15), which indicates superior efficiency. The Bears also have a significant edge in turnovers, with a difference of 1.6 compared to the away team's 0.2, suggesting they're likely to capitalize on opponents' mistakes. Finally, the Bears' explosive rate for (0.23) is slightly higher than that of the away team (0.20), suggesting they could

Chicago Bears vs Pittsburgh Steelers : NA -2.5 Point Spread (-115)

The bet on the Chicago Bears at -2.5 in the 'spreads' market is supported by several key statistics from the last five games. Firstly, the Bears have a superior overall record (4-1) compared to the opposing team (2-3). They have also performed better at home (3-2) than the opposing team on the road (2-3). In terms of scoring, the Bears have a higher average score (26.4) than their opponents (25.4), and have allowed fewer points (24.6 vs 25). This gives them an overall point differential of 1.8, compared to the opposing team's 0.4. The Bears also have a higher Expected Points Added (EPA) for both passing and rushing, suggesting a more efficient offense. They have a better turnover differential (1.6 vs 0.2) indicating they are more likely to retain possession. Lastly, their explosive rate for is