The rivalry between the Pittsburgh Steelers and the Baltimore Ravens stands as one of the most physically demanding and statistically intriguing matchups in professional football. When analyzing the player stats from their most recent encounters during the late 2024 season and the early 2025 postseason, several clear patterns emerge regarding offensive efficiency, defensive pressure, and individual dominance. This analysis dives deep into the numbers that defined these high-stakes games, providing a clear picture of how individual performances swung the momentum of the AFC North.

Statistical Breakdown of the November Defensive Duel

In their first meeting of the late 2024 stretch, the game stayed true to the classic AFC North narrative: a low-scoring, defensive struggle. The Steelers secured an 18-16 victory without scoring a single touchdown, a statistical anomaly that highlights the importance of special teams and red-zone defense.

Quarterback Performance Metrics

During this encounter, Russell Wilson led the Pittsburgh offense with a steady but conservative approach. His stat line showed 23 completions on 36 attempts for 205 yards. While he threw one interception, his ability to manage the game and move the chains into field goal range proved sufficient. On the opposing side, Lamar Jackson struggled against the Pittsburgh defensive scheme. Jackson completed less than 50% of his passes for significant stretches of the game, eventually finishing with a performance that saw him held in check during a crucial two-point conversion attempt that could have tied the game.

The Impact of Special Teams

Chris Boswell was the statistical MVP for the Steelers in this match. His performance was nearly flawless, converting six field goals, including three from beyond 50 yards. In a game decided by two points, Boswell's 18 points accounted for the entirety of Pittsburgh's scoring. This highlights a recurring theme in Steelers-Ravens stats: when touchdowns are hard to come by, the kicking game becomes the primary offensive engine.

Defensive Front and Tackling Leaders

Patrick Queen, facing his former team, led the defensive effort for Pittsburgh with 10 total tackles, a forced fumble, and a fumble recovery. The Steelers' defense as a whole was effective in neutralizing the league's top rushing attack, holding the prolific Derrick Henry to just 65 yards on 13 carries. This statistical win at the line of scrimmage forced the Ravens to rely more heavily on a passing game that was struggling to find rhythm.

The December Shift: Offensive Explosion and Rushing Dominance

The narrative flipped significantly during the December 21 meeting at M&T Bank Stadium. The Ravens secured a 34-17 victory, and the player stats reflected a much more potent Baltimore offense.

Lamar Jackson’s Statistical Redemption

Unlike the previous encounter, Lamar Jackson delivered what was described as one of his best career statistical games against the Steelers. He finished 15-of-23 passing for 207 yards and three touchdowns. Despite one interception resulting from a miscommunication, his quarterback rating reflected a much more comfortable presence in the pocket. His ability to spread the ball to different targets—Isaiah Likely, Rashod Bateman, and Mark Andrews all caught touchdowns—made the Ravens' offense multi-dimensional.

Derrick Henry’s Ground Production

Derrick Henry reclaimed his status as the premier power back in this matchup. After being held in check in November, Henry erupted for 162 rushing yards on 24 carries. His 6.75 yards per carry average kept the Steelers' defense on the field and allowed Baltimore to dominate the time of possession (32:25 to 27:35). The statistical correlation between Henry's yardage and the Ravens' win probability was evident, as his physical style wore down the Pittsburgh front seven in the second half.

Receiving Totals and Explosive Plays

Zay Flowers emerged as the primary receiving threat for Baltimore, recording 5 catches for 100 yards. This performance was pivotal as it marked his first 1,000-yard season. For the Steelers, Calvin Austin III led the way with 4 catches for 65 yards, but the absence of explosive plays from George Pickens (who was limited in this specific matchup) hindered Pittsburgh’s ability to keep pace with the Ravens' scoring.

Turnover Differential

The turnover margin was a decisive factor in the December stats. The Ravens forced two turnovers while only giving up one. Marlon Humphrey’s 37-yard interception return for a touchdown (pick-six) in the fourth quarter was the statistical dagger. Additionally, the Ravens' defense recorded three sacks compared to Pittsburgh's one, indicating a significant advantage in pass-rush productivity.

Wild-Card Playoff Player Stats: The Ultimate Test

The most critical data point in the recent rivalry came during the Wild-Card playoff game in January 2025. The Ravens' 28-14 victory was built on a dominant first-half performance where they led 21-0.

Playoff Passing and Rushing Splits

Lamar Jackson maintained his high level of efficiency, completing 16 of 21 passes for 175 yards and two touchdowns. Perhaps more importantly, he utilized his legs effectively, rushing 15 times for 81 yards. This dual-threat production created gaps in the Steelers' defensive assignments.

Derrick Henry once again proved why he was a high-value acquisition for Baltimore. He finished the game with 186 rushing yards and two touchdowns on 25 carries. A notable statistic from this game was his 44-yard touchdown run in the third quarter, which effectively neutralized a Steelers comeback attempt. The contrast in rushing stats was stark: the Ravens amassed significant yardage on the ground, while the Steelers' Najee Harris was limited to just 17 yards on 6 carries.

Pittsburgh’s Passing Volatility

Russell Wilson’s stats in the playoff loss were a mix of high volume and missed opportunities. He threw for 270 yards and two touchdowns on 20-of-29 passing, largely to George Pickens, who recorded 5 catches for 87 yards and a touchdown. However, the Steelers struggled on third down, converting only 5 of 11 attempts. The Ravens' defense, led by Nnamdi Madubuike, recorded four sacks, consistently putting Wilson in long-yardage situations.

Team Statistical Comparison (Postseason)

Metric Baltimore Ravens Pittsburgh Steelers
Total Yards 464 280
Rushing Yards ~280 ~40
Time of Possession 39:33 20:27
First Downs 29 11
Sacks Recorded 4 1

The time of possession stat is particularly telling. By holding the ball for nearly 40 minutes, the Ravens' offense limited the Steelers' opportunities to establish a rhythm, a strategic advantage reflected in almost every player’s individual totals.

Cumulative Player Performance Leaders

When looking across these three matchups, certain players consistently appeared at the top of the stat sheets. Analyzing these cumulative trends provides insight into which players have the most significant impact on the rivalry's outcome.

Quarterback Comparison: Jackson vs. Wilson

Lamar Jackson's trajectory across the three games showed marked improvement. After a disappointing November performance, he combined for five passing touchdowns and zero turnovers in the subsequent two victories. His average completion percentage in the two wins hovered around 70%, significantly higher than his historical average against Pittsburgh.

Russell Wilson provided veteran stability for the Steelers but faced challenges with turnovers in the December loss. Across the three games, Wilson averaged approximately 230 passing yards per game. While he was effective in moving the ball between the twenties, the statistical drop-off in the red zone during the November and December games prevented Pittsburgh from maximizing their scoring potential.

The Rushing Hierarchy

Derrick Henry's cumulative stats against the Steelers in this cycle are staggering. In two of the three games, he exceeded 160 yards, totaling over 400 yards and four touchdowns across the three-game span. For Pittsburgh, the rushing attack was inconsistent. Najee Harris and Jaylen Warren shared the workload, but neither was able to reach the 100-yard mark in any of the three contests. The data indicates that the Steelers' offense is significantly more effective when Warren is involved in the passing game, as seen in his 48-yard rushing and receiving contributions in mid-December.

Receiving Leaders and Target Share

  • George Pickens (Steelers): Remained the primary deep threat. His playoff performance (87 yards, 1 TD) suggests he is the focal point of the vertical attack, though the Ravens often double-teamed him to force Wilson to look elsewhere.
  • Zay Flowers (Ravens): Became the reliable chain-mover. His 100-yard game in December highlighted his ability to find soft spots in the Steelers' zone coverage.
  • Rashod Bateman (Ravens): Emerged as a critical red-zone target, catching touchdowns in both the December regular-season game and the January playoff game. His efficiency on third-down targets was a quiet but essential component of the Ravens' success.

Defensive Impact and Efficiency Metrics

The stats for defensive players in this rivalry often go beyond basic tackles. Pass rush win rate and turnover creation were the primary differentiators.

Sack Leaders and Pressure Rates

Nnamdi Madubuike and Kyle Van Noy were the standout statistical performers for the Baltimore pass rush. Van Noy reached a career-high in sacks during the December game, ending the regular season stretch with 10.5 sacks. Madubuike’s ability to bat down passes at the line and record sacks in pivotal third-down situations in the playoffs directly led to several Steelers punts.

On the Pittsburgh side, T.J. Watt remained a constant threat, though the Ravens' offensive line stats showed they were able to limit his game-breaking plays in the latter two matchups. The Steelers' defense thrived in the November game when they recorded a high number of "splash plays"—tackles for loss and forced fumbles—but these metrics declined in the December and January losses.

Turnover Margin and Field Position

The statistics confirm that the winner of the turnover battle won the game in each of the three instances. In November, the Steelers forced a key fumble. In December, the Ravens had a +1 turnover margin with a defensive touchdown. In the playoffs, while turnovers were zero for both sides, the Ravens' efficiency on third downs (10-for-15) functioned similarly to a turnover by keeping the Steelers' offense off the field for extended periods.

Tactical Observations from the Stat Sheet

Beyond individual player stats, the team-wide data points toward specific tactical successes and failures.

  1. Third Down Conversion Rates: In the playoff matchup, the Ravens' 66% conversion rate on third down was nearly double their seasonal average. This suggests a breakdown in the Steelers' situational defensive packages when facing Lamar Jackson’s scrambling ability.
  2. Red Zone Efficiency: The Steelers' inability to convert trips inside the 20-yard line into touchdowns during the November game (0%) was masked by Boswell’s kicking. However, when the Ravens' offense started scoring touchdowns in December, Pittsburgh’s field-goal-heavy approach was statistically unsustainable.
  3. Yards After Catch (YAC): Players like Justice Hill and Zay Flowers accumulated significant YAC in the playoff game, indicating that the Steelers' tackling—usually a strength—faltered in high-pressure postseason moments. This was echoed by Cameron Heyward’s post-game comments regarding missed tackles and gap integrity.

Conclusion: What the Numbers Tell Us

The player stats from the Pittsburgh Steelers vs. Baltimore Ravens matches throughout 2024 and early 2025 reveal a shift in power within the rivalry. While the Steelers possess the defensive discipline and special teams excellence to win grind-it-out games, the Ravens' offensive evolution—centered around the synergy between Lamar Jackson and Derrick Henry—has proven difficult to contain over a full 60 minutes.

For the Steelers, the data suggests a need for more consistent rushing production and higher red-zone efficiency to complement their defensive efforts. For the Ravens, maintaining the health and workload of Derrick Henry appears to be the primary statistical indicator of success. As the teams prepare for future encounters, these recent figures provide the baseline for what to expect in one of football's most intense statistical matchups.