Titans vs Packers Match Players Stats | Green Bay Packers at Tennessee Titans Week 3 Sunday

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Titans vs Packers Match Players Stats | Green Bay Packers at Tennessee Titans Week 3 Sunday

GB @ TEN

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Todays Matchup Details

Week 3 Green Bay Packers at Tennessee Titans
Todays Game is on Sunday, September 22nd
22/09/24 13:00:00 PM EST Kickoff

Positive Match Players Stats Tennessee Titans vs Green Bay Packers

At a -3.5-point disadvantage, the Titans are underdogs in this week’s game, suggesting more of an emphasis on passing than their typical game plan.

Our trusted projections expect the Titans to be the 3rd-most pass-centric offense among all teams this week with a 63.3% pass rate, accounting for their underlying traits and matchup dynamics.

Calvin Ridley has run a route on 92.7% of his team’s dropbacks since the start of last season, placing him in the 92nd percentile among WRs.

The leading projections forecast Calvin Ridley to garner 8.0 targets in this game, on balance, placing him in the 88th percentile among WRs.

Calvin Ridley has posted a staggering 117.0 air yards per game since the start of last season: 99th percentile when it comes to wide receivers.

With a 3.5-point advantage, the Packers are favored in this week’s contest, suggesting more of an emphasis on running than their typical approach.

Given their underlying propensities and matchup dynamics, our trusted projections expect the Packers to run on 48.9% of their chances: the 2nd-highest clip on the slate this week.

This week, Josh Jacobs is expected by the projection model to land in the 97th percentile among RBs with 19.0 carries.

Josh Jacobs has picked up 69.0 adjusted rushing yards per game since the start of last season, one of the largest marks in the league when it comes to RBs (95th percentile).

Josh Jacobs’s 4.8 adjusted yards per carry this season marks an impressive growth in his rushing skills over last season’s 3.5 rate.

Opposing QBs have completed passes at the 5th-highest clip in the NFL versus the Tennessee Titans defense since the start of last season (72.8% Adjusted Completion%).

As it relates to cornerbacks in defending receivers, Tennessee’s collection of CBs has been very bad since the start of last season, grading out as the 6th-worst in the NFL.

Since the start of last season, the weak Green Bay Packers defense has been gouged for the 5th-most adjusted yards-per-target in football to opposing squads: a colossal 8.07 yards.

The Green Bay cornerbacks profile as the 8th-worst CB corps in football since the start of last season in pass coverage.

With an exceptional 15.6% Target Rate (86th percentile) since the start of last season, Chigoziem Okonkwo rates as one of the tight ends with the biggest workloads in the league.

Chigoziem Okonkwo has compiled a whopping 30.0 air yards per game since the start of last season: 82nd percentile among TEs.

The Green Bay Packers pass defense has shown weak efficiency against tight ends since the start of last season, giving up 8.73 adjusted yards-per-target to the position: the 2nd-most in the league.

With an outstanding tally of 58.0 adjusted yards per game on the ground (84th percentile), Tony Pollard has been as one of the top pure rushers in the NFL since the start of last season.

With an exceptional rate of 3.85 yards after contact (90th percentile), Tony Pollard ranks as one of the strongest RBs in football this year.

Since the start of last season, the feeble Green Bay Packers run defense has surrendered a staggering 130.0 adjusted rushing yards per game to opposing offenses: the 7th-most in the NFL.

When it comes to the linebackers’ role in defending against the run, Green Bay’s group of LBs has been atrocious since the start of last season, projecting as the worst in the NFL. in the NFL.

Green Bay Packers at Tennessee Titans Negative Match Players Stats

Based on their underlying play style and game dynamics, the Tennessee Titans are expected by the model to call just 61.0 offensive plays in this game: the 2nd-lowest number on the slate this week.

The Titans have run the fewest plays in the NFL since the start of last season, totaling a mere 53.3 plays per game.

Opposing offenses have averaged 32.2 pass attempts per game vs. the Green Bay Packers defense since the start of last season: 9th-fewest in the league.

The Tennessee Titans O-line ranks as the 9th-worst in football since the start of last season in protecting the quarterback, which has a negative effect on all passing game statistics across the board.

Calvin Ridley rates as one of the most hard-handed receivers in the NFL, hauling in a mere 58.1% of passes thrown his way (adjusted for context) since the start of last season, grading out in the 20th percentile among WRs, The Packers will be forced to utilize backup quarterback Malik Willis in this week’s game, which usually means fewer pass attempts and more rushing.

Accounting for the game dynamics and the underlying play styles of each team, this contest is expected by the projection model to have only 125.7 plays on offense called: the 4th-lowest number among all games this week.

While Josh Jacobs has earned 78.0% of his team’s rush attempts in games he has played since the start of last season, the model projects him to be a much smaller part of Green Bay’s ground game in this contest at 60.3%.

Since the start of last season, the weak Tennessee Titans run defense has allowed a whopping 3.96 adjusted yards-per-carry (YPC) to opposing offenses: the 28th-worst rate in the NFL.

Given their underlying strategic approach and matchup dynamics, the leading projections forecast the Green Bay Packers to pass on 51.1% of their plays: the 2nd-lowest rate among all teams this week.

In this week’s game, Malik Willis is forecasted by the model to average the 2nd-fewest pass attempts out of all quarterbacks with 29.7. , Since the start of last season, the daunting Titans defense has allowed the 3rd-least yards-after-the-catch in the league to opposing squads: a feeble 4.8 YAC.

Our trusted projections expect the Titans to be the 3rd-least run-centric team on the slate this week with a 36.7% run rate, accounting for their underlying play style and matchup dynamics.

The predictive model expects Tony Pollard to be a much smaller piece of his team’s rushing attack in this game (48.5% projected Carry Share) than he has been since the start of last season (61.4% in games he has played).

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