How Morgan Geekie defies goal-scoring regression in the Bruins’ 2025-26 season
When Morgan Geekie erupted for 33 goals in the 2024-25 campaign, the advanced stats community collectively raised an eyebrow. His expected goals (xG) total sat nearly a dozen goals lower, his shooting percentage hovered in the unsustainable range, and the regression warnings flashed red across hockey analytics platforms. Every model pointed toward significant decline. Yet here we are, deep into the 2025-26 season, and Geekie isn’t just maintaining his scoring touch—he’s somehow elevated it, defying mathematical gravity and positioning himself as a legitimate Rocket Richard Trophy contender.
The story of Morgan Geekie’s season represents everything we love and hate about hockey analytics. The numbers told us one thing with uncomfortable certainty. The ice told us another. And now, as he sits second in the league with 24 goals—12 of them coming in a scorching 13-game stretch—it’s time to examine how a player once pegged as the poster child for regression instead became Boston’s most reliable offensive weapon.

The regression candidate that never regressed
Understanding the analytics warning signs
Expected goals models exist for a reason. They analyze thousands of shots across the NHL, factoring in distance, angle, shot type, traffic, and game situation to determine how many goals a player should score. When someone’s actual goals dramatically exceed their xG, regression toward the mean becomes not just likely but inevitable.
Morgan Geekie entered the 2025-26 season with all the classic red flags. His 33-goal breakout featured a shooting percentage that would make prime Alex Ovechkin blush. The underlying metrics suggested a player riding a hot streak rather than establishing a new baseline. Analytics experts pointed to his shot locations—many coming from lower-danger areas—and his reliance on secondary assists and bounces. The consensus was clear: temper expectations.
The warning signs weren’t theoretical. Geekie’s xG underperformance wasn’t marginal; it was massive. Models from Evolving-Hockey, MoneyPuck, and other analytics platforms all sang the same tune. He was due for a correction of 10-12 goals, which would place him in the 20-22 goal range—a solid middle-six forward, but hardly a top-line producer worthy of the contract extension Boston eventually signed him to.
The statistical profile that defied explanation
What made Geekie such a compelling regression candidate wasn’t just the raw goal total. It was how those goals materialized. He scored on nearly one in five shots, a rate that simply doesn’t sustain over multiple seasons in today’s NHL. His individual shot quality metrics remained static—he wasn’t generating more dangerous chances, just converting them at an elite rate.
The 2025-26 preseason predictions placed Geekie prominently on every “due to regress” list. Hockey analysts cited his career trajectory: a modest scorer in Seattle and his early years, suddenly morphing into an elite finisher at age 26. Historical comparisons showed players with similar profiles rarely maintained that scoring pace. The data was overwhelming, the logic sound, the conclusion inevitable.
But here’s the thing about hockey: players don’t read their own analytics reports. And sometimes, something fundamental changes in a player’s game that the models can’t immediately capture.
How Morgan Geekie defied mathematical certainty
A sustained surge unlike anything in his career
The first red flag that something was different came early. Geekie scored four goals in his first six games—not unheard of, but notable. Then came the heater. A two-goal performance against Toronto. Another against Pittsburgh. A power-play marker in Tampa. Suddenly, we’re two months into the season and Geekie hasn’t cooled off—he’s intensified.
That 13-game stretch where he scored 12 goals with four multi-goal games? That’s not luck. That’s not random variance. That’s a player operating at a level far beyond what any projection system, including his own team’s internal models, anticipated. His current 24-goal pace puts him on track for 42 goals across a full season, shattering last year’s total and placing him in truly elite company.
What’s remarkable isn’t just the quantity—it’s the timing. Geekie has scored game-winners. He’s scored when the Bruins trailed. He’s scored to put games out of reach. His goals have come with leverage, the kind of clutch scoring that advanced stats dismiss as random but players and coaches value as essential. The quality of his opportunities hasn’t dramatically changed. His ability to convert them has fundamentally transformed.
The evolution of shot quality and selection
Here’s where the numbers versus narrative debate gets fascinating. Early in his career, Geekie’s shot maps showed a player operating on the perimeter. Lots of attempts from the circles, from distance, from low-percentage areas. He was generating volume but not quality.
That changed in the 2025-26 season. Watch him now, and you’ll notice subtle differences. He’s finding the soft spots in coverage, sliding into the high slot undetected. His release is quicker, his shot selection more discriminating. When he shoots from distance, it’s often off controlled zone entries where he has time and space—factors that xG models weight heavily.
The eye test reveals a player who understands where goals come from in today’s NHL. He’s not hunting the highlight-reel snipe as often. Instead, he’s positioning himself for tips, rebounds, and quick-release shots through traffic—exactly the kind of goals that sustain even when shooting percentages normalize. His current season features more high-danger chances per game than any previous year, suggesting real tactical improvement rather than just variance.
The contract extension that raised eyebrows and expectations
Boston’s bold commitment to their breakout center
When the Bruins signed Morgan Geekie to a six-year, $33 million extension midway through his breakout season, the reaction was mixed. Fans and analysts wondered if Boston was buying high, committing $5.5 million annually to a player whose underlying numbers suggested impending regression. The deal, extending through 2030-31, represented a significant bet on a player with one elite scoring season.
Internally, the Bruins’ front office saw something different. Their own analytics, combined with scouting reports and development data, suggested Geekie’s improvement was sustainable. The contract wasn’t just about the goals—it was about the total package. Geekie’s two-way play, his versatility across all three forward positions, his penalty killing work, and his chemistry with premier linemates all factored into the equation.
The negotiation process itself reflected Boston’s confidence. Rather than waiting to see if regression hit, they moved proactively, securing a key piece of their future at what could become a team-friendly cap hit if Geekie maintained even 80% of his scoring pace. It was a gamble, certainly, but one grounded in more than just hope.
What the deal means for Boston’s championship window
That contract extension carries implications far beyond Geekie’s personal finances. At $5.5 million annually for a 25-goal scorer who can play up and down the lineup, Boston may have secured one of the league’s better value contracts. In a salary cap environment where middle-six centers routinely command $6-7 million, locking in Geekie at this number provides crucial flexibility.
The structure also signals Boston’s belief in their competitive timeline. With David Pastrnak in his prime and the defense corps solidified, the Bruins needed cost-controlled contributors to fill out their roster. Geekie’s deal, combined with team-friendly contracts elsewhere, keeps Boston’s championship window propped open even as core players age and require new deals.
As detailed in Morgan Geekie’s contract extension analysis, the Bruins viewed this as a bridge between their current contention and future competitiveness. The front office’s willingness to commit years and dollars before full statistical validation suggests they saw something in his development curve that public models missed.
Breaking down the mechanics of Geekie’s success
Chemistry and deployment: The Pastrnak factor
Context matters enormously in hockey, and Morgan Geekie benefits from skating alongside one of the world’s best. David Pastrnak’s playmaking ability creates space and opportunities that don’t show up in isolated player metrics. Recent analysis from Morgan Geekie’s hot start breakdown highlights how Pastrnak’s presence on the power play and at even strength tilts defensive attention, creating seams for Geekie to exploit.
But reducing Geekie’s success to “playing with a superstar” misses the full picture. He’s not just a passenger—he’s a complementary piece that makes his linemates better. His net-front presence creates havoc that benefits Pastrnak’s perimeter game. His defensive responsibility allows for more aggressive offensive zone deployment. He’s the pivot in Boston’s attack, the connector between the elite winger and the supporting cast.
The coaching staff’s deployment patterns reveal their trust. Geekie receives offensive zone starts at a career-high rate, but he’s also deployed in defensive situations when protecting leads. This two-way usage reflects real growth in his overall game, not just offensive opportunism.
Shot mechanics and power-play positioning
Watch Geekie on Boston’s top power-play unit, and you’ll see a masterclass in finding soft ice. He positions himself not in the goalie’s eyeline, but slightly offset, creating passing lanes for Pastrnak and the point men while remaining a viable shooting option. His stick is always on the ice, ready for deflections, and he has a knack for releasing quickly when pucks arrive.
This positional intelligence explains part of his scoring surge. Power-play goals tend to be more repeatable than even-strength markers—they’re less dependent on random bounces and more on system execution. Geekie’s 12 power-play goals lead the Bruins and rank among the NHL’s elite, representing the kind of sustainable production that validates his contract extension.
His shot itself has evolved. Where once he relied on a heavy wrist shot that goalies could track, he’s developed a quicker release and better placement. He’s shooting more frequently from the “home plate” area in front of the net—high-danger zones where shooting percentage trends higher. Even as his overall shot volume remains consistent, the quality has improved dramatically.
The sustainability question and Boston’s playoff outlook
Secondary scoring when it matters most
Boston’s championship aspirations depend on more than just their top line. The Bruins learned during last year’s playoff disappointment that relying exclusively on Pastrnak and the top unit creates predictable, stoppable offense. Geekie’s emergence as a legitimate secondary scoring threat changes the math entirely.
In crucial late-season games, opposing coaches now face an impossible choice: overload defensively against the Pastrnak line and risk Geekie burning them, or spread resources evenly and potentially contain neither. This tactical flexibility makes Boston significantly more dangerous in a seven-game series, where adjustments and matchups define outcomes.
The timing of Geekie’s production also bodes well for sustainability. Scorers who rely on hot streaks often fade down the stretch. Geekie’s consistent month-to-month production suggests real skill elevation rather than variance. Even his “cold” stretches feature quality chances and near-misses, indicating the process remains sound even when pucks don’t find mesh.
What advanced metrics now say about his future
Here’s the irony: the same models that predicted Geekie’s regression现在开始调整。随着2025-26季的数据的累积,他的xG总数正在追赶他的实际产出。他的射击百分比仍然偏高,但不再处于“不可能维持”的领域。关系正在重新校准。
The question isn’t whether Geekie will regress—the question is where his new baseline settles. A 42-goal pace seems optimistic even for a player this hot. But 30-35 goals? That’s suddenly within reach, especially on a Bruins team that generates quality scoring chances in volume. If his xG stabilizes around 25-28 goals and he continues finishing at a modestly above-average rate, we’re looking at a legitimate 30-goal scorer, not a statistical anomaly.
For Boston, this represents everything they hoped for when extending his contract. A middle-six center who can moonlight as a top-line producer. A power-play specialist who contributes at even strength. A player whose contract looks better with each passing month, not worse.
Final thoughts on Morgan Geekie’s remarkable season
The narrative arc from regression candidate to Rocket Richard contender encapsulates modern hockey’s tension between analytics and eye test, between projection and production. Morgan Geekie didn’t just prove the models wrong—he forced them to evolve. His 2025-26 season demonstrates that while expected goals and shooting percentages provide valuable context, they can’t capture every variable in a player’s development curve.
For the Boston Bruins, Geekie’s emergence solves a crucial roster puzzle. They’ve found secondary scoring without sacrificing cap flexibility. They’ve identified a core piece for their next competitive window. And they’ve validated their internal scouting and development processes, which identified Geekie’s potential before the public models caught up.
As the playoffs approach and the sample size grows, the data will continue adjusting. But one thing is clear: Morgan Geekie isn’t a fluke. He represents the evolving relationship between hockey analytics and on-ice reality—a reminder that while numbers guide our understanding, the game is still played by human beings capable of unexpected growth. The Bruins bet on that growth, and in the 2025-26 season, that bet is paying off in goals, wins, and a legitimate shot at championship contention.
Frequently Asked Questions
Par Mike Jonderson
Mike Jonderson is a passionate hockey analyst and expert in advanced NHL statistics. A former college player and mathematics graduate, he combines his understanding of the game with technical expertise to develop innovative predictive models and contribute to the evolution of modern hockey analytics.