Conference Spotlight: Ivy League

A 2025 offensive study of where each Ivy League team created efficiency, where explosive production changed the profile, and which personnel and situations should move to the front of an opponent’s cutup queue.

Points describe the result. Success rate and explosive rate begin to describe the mechanism.

That distinction matters in the 2025 Ivy League data because the conference did not have one universal model for productive offense. Harvard led the league in scoring and explosive rate without leading it in down-to-down success. Dartmouth won the highest percentage of ordinary snaps and then became even more dangerous on third-and-medium and third-and-long. Penn was the only offense ranked in the top two in both success and explosive rate. Yale built a second-down and goal-line identity around one of the league’s most concentrated personnel cores. Cornell stayed on schedule often enough to rank third in success, but its lack of explosives and below-average third-down performance limited the payoff.

The useful question for a staff is therefore not simply, “Who had the best offense?” It is, “Where did each offense become structurally different from the league?”

The Conference Map

Three conference-wide themes emerge.

First, Harvard’s 36.5 points per game were not created by simply winning more snaps than everyone else. Its 50.3% success rate ranked fourth, but its 22.7% explosive rate led the league by 2.3 percentage points and its 6.49 yards per play led the eight-team group. Harvard generated more value when it hit than the ordinary success ranking alone suggests.

Second, Penn produced the cleanest combination of repeatability and stress. It ranked second in both success and explosive rate, stayed above 52% success at home and away, and remained above 51% while leading, trailing or tied. No other offense was as stable across the broad environment splits.

Third, the field compressed very differently for each team. Penn and Yale were 17.2 and 15.5 percentage points above the league average at the Goal Line. Dartmouth, by contrast, ranked first in Backed Up and Midfield success and third in Red Zone success, then fell to 34.0% at the Goal Line—10.5 points below average. An offense that moves the ball well is not automatically the same offense after the available space disappears.

Harvard: The Distance Curve Ran Backward

Harvard’s profile is the most unusual in the conference. Most offenses become less efficient as the distance grows. Harvard frequently improved relative to the league.

The Crimson were 10.9 points below average on 2nd & 4–6 and 9.2 points below average on 3rd & 4–6. Yet they were 6.6 points above average on 2nd & 7–10, 10.8 points above on 2nd & 11+, 7.1 points above on 3rd & 7–10 and 17.5 points above on 3rd & 11+. Even 1st & 11+ produced a 60.0% success rate, 26.9 points above the Ivy average.

That inversion should change the order of an opponent’s film study. The first question is not only how Harvard created explosives on normal downs. It is how the offense preserved access to chunk production after a penalty, negative play or obvious passing situation.

The field-zone intersection sharpens the point. Harvard’s overall Red Zone success rate was a league-best 54.7%. Inside that zone, it succeeded on 70.0% of 3rd & 4–6, 62.5% of 3rd & 7–10 and 66.7% of 3rd & 11+ snaps in the report’s qualifying cells. Those rates exceeded the corresponding Ivy baselines by 21.0, 29.6 and 44.5 points. The narrow cells require film and sample-size context, but the pattern across three distances is too relevant to bury inside a general red-zone reel.

The same offense had real field-area pressure points. Harvard ranked seventh in Danger Zone success at 35.7% and was below average at the Goal Line at 40.4%. It could be exceptional in red-zone long yardage and still become less efficient when backed against one boundary of the field or when the space became fully compressed. A defense should not carry Harvard’s global scoring reputation into every field zone as if the offense were equally strong everywhere.

The personnel explains why the high-end outcomes were available. Jaden Craig threw for 2,869 yards at 8.5 yards per attempt with 25 touchdowns against seven interceptions. Brady Blackburn averaged 19.3 yards per reception, the highest figure among the league’s top-20 receivers, while Cam Henry, Dean Boyd and Seamus Gilmartin also appeared in the conference receiving leaderboard. Harvard did not ask one receiver to hold the entire passing game together. Its top four listed receivers combined for 1,919 yards and 14 touchdowns.

The run game was similarly distributed: Xaviah Bascon produced 626 yards at 5.1 per carry, DJ Gordon added 448 at 5.4, and Jordan Harris averaged 7.1 on 48 attempts. The scouting problem is multiplicity of answers, not simply the volume of one featured runner.

Opponent-prep priority: isolate Harvard’s Red Zone third-down package by distance, then study the 1st & 11+, 2nd & 11+ and 3rd & 11+ answers. The more favorable leverage point was conventional medium yardage, not the obvious long-yardage situations a defense normally expects to own.

Dartmouth: The Best Snap-to-Snap Offense Was Also the Best Late

Dartmouth led the Ivy League with a 53.1% success rate and ranked third in explosive rate at 19.3%. Its defining trait was not one dominant early-down cell. It was the ability to keep drives alive after reaching money downs.

The Big Green succeeded on 60.6% of 3rd & 4–6 and 54.8% of 3rd & 7–10, ranking second and first in the conference. The latter was 19.8 points above the Ivy average. Curiously, Dartmouth ranked only seventh on 3rd & 1–3 at 59.6%. A defense preparing one generic “third-down plan” would miss the actual shape of the problem: medium and long were more dangerous relative to the league than short yardage.

The field-zone view shows that the production traveled. Dartmouth ranked first while Backed Up at 59.5%, first at Midfield at 53.8%, and third in the Red Zone at 51.5%. Zone × Down & Distance cells reinforce the money-down identity: 75.0% success on Backed Up 3rd & 4–6, 56.2% on Backed Up 3rd & 7–10, 64.3% on Midfield 3rd & 4–6, 55.6% on Midfield 3rd & 7–10 and 57.1% on Red Zone 3rd & 7–10.

The exception was the Goal Line. Dartmouth fell to 34.0%, seventh in the league and 10.5 points below average. That is the opponent’s chance to turn a drive-moving offense into a field-goal offense.

Dartmouth was also the conference’s clearest end-of-game outlier. Its success rate reached 68.0% on drives beginning inside the final four minutes of the second half and 70.8% inside the final two minutes. Both ranked first, exceeding the conference averages by 22.6 and 25.6 points. Those windows are game-state sensitive, but an opponent still needs a dedicated late-game cutup because the result was not a mild edge.

Grayson Saunier was central to the stress. He completed 65.6% of his passes for 2,143 yards and also ran for 413 yards and 11 touchdowns. D.J. Crowther added 929 rushing yards and 10 scores. Together, Saunier and Crowther accounted for 1,342 of Dartmouth’s 1,633 net rushing yards and 21 of its 23 rushing touchdowns. Grayson O’Bara, Chris Corbo and KyDric Fisher gave the passing game three distinct top-20 receiving options; Fisher’s 16.2 yards per catch supplied the higher-variance element.

Opponent-prep priority: treat Saunier as both the passer and a primary scoring runner, then separate 3rd & 4–6 and 3rd & 7–10 by field zone. The data says Dartmouth’s long-yardage package deserves more attention than its league rank on short third down.

Penn: The Most Complete Profile—and the Most Concentrated Core

Penn was the only Ivy offense ranked in the top two in both success rate and explosive rate. It also produced the league’s most transferable broad profile: 53.5% success at home, 52.3% away, 52.5% while leading, 51.2% while trailing and 57.4% while tied.

The Quakers’ central advantage was manageable third down. They led the league on 3rd & 1–3 at 76.9% and on 3rd & 4–6 at 68.6%. That second figure was 22.4 points above the Ivy average. More importantly, the result appeared across the field: Penn posted 80.0% success on Backed Up 3rd & 4–6, 66.7% at Midfield, and 70.0% in the Red Zone. It was not one isolated field-position package creating the aggregate number.

Penn also owned the two ends of the field-zone map. Its 77.8% Danger Zone success rate led the conference by a wide margin, and its 61.7% Goal Line rate also ranked first. The Zone × Down & Distance grid adds an 83.3% Danger Zone rate on 1st & 10 and an 85.7% Goal Line rate on 3rd & 1–3. Again, those narrow cells should trigger film review rather than become automatic causal claims, but they align with the broader zone rankings.

The better defensive target was 3rd & 7–10. Penn fell to 32.1% overall, slightly below the league average, and to 12.5% while Backed Up in that distance. Creating seven-plus yards to go materially changed the matchup; simply reaching third down did not.

The personnel concentration is unusually clear. Liam O’Brien threw for 2,376 yards and 19 touchdowns while adding 548 rushing yards and seven more scores. His 2,924 combined yards equaled 77.3% of Penn’s total offense, and his 26 passing-plus-rushing touchdowns represented 76.5% of the team’s offensive touchdown total in the report.

Jared Richardson and Bisi Owens were the primary passing-game pair. They combined for 1,729 receiving yards—roughly 72% of Penn’s net passing total—and caught 17 of the team’s 19 passing touchdowns. A staff can build the Penn plan around a defined three-player core, but that does not make it simple: O’Brien’s rushing involvement changes box counts and the Richardson–Owens pairing can attack two different leverage points.

Opponent-prep priority: make Penn play 3rd & 7+ and identify how the offense deploys O’Brien, Richardson and Owens in each field zone. The data does not support treating short and medium third down as favorable defensive situations.

Yale: A Second-Down Offense Built Around a Bell Cow

Yale’s overall success rate was only fifth at 49.9%, and its explosive rate ranked sixth at 17.9%. Yet the Bulldogs finished second in scoring at 29.3 points per game. The situational explanation begins on second down.

Yale ranked second on 2nd & 1–3 at 75.0%, first on 2nd & 4–6 at 64.1%, and first on 2nd & 7–10 at 48.9%. It was the only offense ranked in the top two across all three standard second-down distance bands. Yale then converted 74.5% of 3rd & 1–3, but fell to 40.0% on 3rd & 4–6 and just 4.3% on 3rd & 11+.

The coaching implication is specific: first-down success against Yale is not enough if the defense allows the Bulldogs to repair the series on second down. The real leverage comes from forcing the offense past its second-down recovery mechanism and into third-and-medium or worse.

Yale’s field-area profile was strongest at the two ends. It succeeded on 60.0% of Danger Zone snaps and 60.0% of Goal Line snaps, 10.4 and 15.5 points above the league averages. In the Goal Line Zone × Down & Distance cells, Yale posted 60.0% on 1st & 10, 77.8% on 2nd & 4–6, 57.1% on 2nd & 7–10 and 66.7% on 3rd & 1–3. Midfield and Red Zone success, however, were below average.

Josh Pitsenberger gave the offense one of the conference’s clearest personnel identities: 1,571 rushing yards on 313 attempts with 19 touchdowns. His yardage equaled roughly 79% of Yale’s team net rushing total, and he scored 19 of its 21 rushing touchdowns. Dante Reno supplied 2,498 passing yards and 21 scores, while Nico Brown and Jaxton Santiago combined for 1,772 receiving yards and 16 touchdowns. The offense’s most important touches and targets were concentrated in a small group.

Opponent-prep priority: build the plan around second down, not merely first. Pitsenberger’s role and the Brown–Santiago target concentration should be tagged into every 2nd & 1–10 and Goal Line cutup.

Cornell: First-Down Efficiency Without the Finishing Mechanism

Cornell ranked third in offensive success at 50.4% but only seventh in explosive rate at 17.3% and tied for fifth in scoring at 21.0 points per game. That gap is one of the best examples of why a single efficiency metric cannot stand alone.

The Big Red led the league on 1st & 10 with a 57.8% success rate. They remained slightly above average on 2nd & 4–6 and 2nd & 7–10. Every standard third-down band, however, finished below the Ivy average: 61.8% on 3rd & 1–3, 41.5% on 3rd & 4–6, 30.8% on 3rd & 7–10 and 13.6% on 3rd & 11+.

The profile suggests a team that could start series cleanly but did not convert enough of those advantages into explosives or sustained finishes. Cornell averaged 5.09 yards per play despite its high success rate, illustrating the difference between accumulating acceptable gains and creating high-value ones.

Field position widened the split. Cornell was above average while Backed Up, in the Red Zone and at the Goal Line, but its 31.6% Danger Zone success rate ranked last and sat 18.0 points below the conference mean. In the Red Zone, the narrower grid showed strong 1st & 10 and 3rd & 1–3 results, but a 27.3% rate on 3rd & 4–6. The broad third-down concern therefore remained present even after the offense reached scoring territory.

Score state produced another major clue. Cornell’s success rate was 61.9% on drives beginning with a lead, compared with 48.6% while tied and 48.4% while trailing. It also led the league in the first-half final-four-minute and final-two-minute windows at 58.2% and 62.5%. Those are context-heavy splits, but they tell an opponent which tempo and game-state cutups deserve separate treatment.

Garrett Bass-Sulpizio threw for 1,860 yards and also scored eight rushing touchdowns. Jordan Triplett led the listed rushers with 454 yards, while Ryder Kurtz, Doryn Smith and Brendan Lee formed the top receiving group. The distribution was relatively broad, but the passing game did not produce a high yards-per-attempt outlier: Bass-Sulpizio averaged 6.4 and Devin Page 5.5.

Opponent-prep priority: survive Cornell’s first down without overreacting to the early efficiency. The defense earns leverage by eliminating the ordinary positive gain, forcing third down and preventing the Red Zone from becoming a short-yardage sequence.

Brown: Passing Volume, Long-Yardage Recovery and a Third-and-Medium Fault Line

Brown’s offense was the most pass-dependent in the conference by yardage: 75.9% of its total offense came through net passing yards. James Murphy completed 67.4% of his throws for 2,798 yards and 18 touchdowns, but also threw 14 interceptions. Ty Pezza produced 599 yards and seven scores, Trevor Foley averaged 18.0 yards per reception, and Matt Childs added 858 scrimmage yards with 12 rushing-plus-receiving touchdowns.

The Bears were better than their overall sixth-place success ranking on 1st & 10, where they posted 54.5%, and in recovery situations: 44.4% on 1st & 11+ and a league-best 40.0% on 2nd & 11+. Their primary field-zone strength was Midfield, where a 52.7% success rate ranked second.

The drive-breaking situation was 3rd & 4–6. Brown succeeded only 29.5% overall, 16.7 points below the conference average, and just 10.0% in the Red Zone qualifying cell. That is a much stronger defensive target than vague advice to “force Brown to pass,” because the Bears already operated through the air. The objective is to create a medium-yardage conversion down where the data says the passing volume did not translate into reliable success.

Brown did show a late-game pocket, posting 54.5% success in the second-half final-two-minute window, second in the league. That deserves its own cutup because it runs against the broader third-down profile.

Opponent-prep priority: force 3rd & 4–6, but keep the call sound against vertical access after a negative play. Brown’s 1st & 11+ and 2nd & 11+ performance means “behind schedule” did not always equal “off the field.”

Princeton: Explosive Access Without a Stable Base

Princeton’s 18.5% explosive rate was almost exactly league average and ranked fourth. Its success rate, however, fell to 45.6%, seventh in the conference, and none of its five broad field-zone success rates exceeded the Ivy average. Red Zone performance came closest at 48.1%, while the Danger Zone and Goal Line were both more than eight points below average.

The distance profile had one counterintuitive feature. Princeton was slightly above average on 3rd & 4–6 and 3rd & 7–10, but converted only 50.0% of 3rd & 1–3—15.6 points below the league mean. The short-yardage problem was more damaging than the general third-and-medium label would suggest.

Kai Colón threw for 1,711 yards at 7.2 per attempt with nine touchdowns and six interceptions. Blaine Hipa added 459 yards but did not throw a touchdown in the listed totals. Ethan Clark led the run game with 594 yards and six scores, and Josh Robinson was the only Princeton receiver in the conference top 20, recording 569 yards and two touchdowns.

The broader lesson is that near-average explosive rate did not create a stable offense by itself. Princeton still averaged 5.02 yards per play and 20.8 points, because the routine success and field-zone consistency were not there often enough.

Opponent-prep priority: win 3rd & 1–3 and compressed-field snaps. The explosive rate requires respect, but the defense should not concede easy access out of fear of the occasional chunk.

Columbia: The Distance, More Than the Down, Defined the Offense

Columbia ranked eighth in success, explosive rate, yards per play and scoring, but its usable tendencies were not uniformly negative.

The Lions ranked second on 2nd & 4–6 at 62.8% and third on 3rd & 1–3 at 72.5%. Once the distance expanded, the offense changed sharply: 29.3% on 2nd & 7–10, 15.6% on 2nd & 11+, and 16.0% on 3rd & 7–10. That last result was 19.0 points below the Ivy average.

The field-zone pattern was similarly concentrated. Columbia was above average in the Danger Zone at 53.3%, but fell to 41.1% while Backed Up, 40.7% in the Red Zone and 30.8% at the Goal Line. The scoring-area decline explains why a few strong manageable-down cells did not turn into a productive overall offense.

Columbia used multiple quarterbacks. Chase Goodwin threw for 1,262 yards with nine touchdowns and nine interceptions; Caleb Sanchez and Xander Menapace added 647 yards and three scores. Michael Walters and Griffin Johnson combined for 952 rushing yards, while Titus Evans accounted for 584 receiving yards and six of the team’s 12 passing touchdowns. The quarterback rotation and the concentration of scoring targets around Evans belong in the personnel cutup.

Opponent-prep priority: create 2nd or 3rd & 7+ and tighten the Red Zone. Columbia was capable in several short and medium situations; the offense’s much clearer weakness appeared when it had to recover distance or finish a drive.

The Call-Sheet Version

How a Staff Should Use the Data

The broad splits should determine the order of the cutups. Start with situations supported by a full-team pattern—Penn on manageable third down, Yale on second down, Dartmouth on third-and-medium/long, Cornell on first down—and then use the Zone × Down & Distance cells to locate the exact packages that may be creating the result.

Player totals should be layered onto those cutups, not treated as proof of the mechanism. The workbook identifies which players carried the season’s production; it does not provide player-level situational tagging. Film still has to answer whether the featured player produced the split, occupied the defense so someone else could produce it, or was not central to that package at all.

The objective is not to turn every high percentage into a tendency. It is to distinguish a repeated offensive identity from a lower-volume flag worth investigating.