Filip Hallander drives the Penguins offense
Filip Hallander: 0G 3A, 1.28 xG/60.

Despite a 37–28 shot advantage, New York fell to Pittsburgh 4–3. The underlying numbers were nearly a coin flip—xG favored Pittsburgh 3.79–3.63—but the Penguins' finishing and Jarry's goaltending made the difference.
Expected goals barely moved the needle, yet high-danger chances told a harsher story. Pittsburgh dominated 9–1, a gap that forecasted the result more accurately than raw shot volume. This is what separates a shot and a scoring chance: the Islanders fired from distance; the Penguins shot when it mattered.
Jarry's 0.919 save percentage (+0.63 versus expected) was crucial. Sorokin faced a more efficient attack: 24 saves on 28 shots (0.857 SV%), but the Penguins' accuracy from dangerous ice wore him down.
Pittsburgh weaponized the rush. Three goals came in transition on just 24 chances—a lethal rate. The power play added two more on ten attempts, generating 1.19 expected goals. New York matched Pittsburgh's three rush goals but needed 35 chances to get there, underscoring the gulf in efficiency.
The turning point came early: Justin Brazeau's backhander from the doorstep at 14:21 of the third period gave Pittsburgh breathing room.
Three Stars
Penguins hold off the Islanders
Dead even on chances. The Penguins took it anyway.
The board read NYI 3, PIT 4. The chances read NYI 3.6, PIT 3.8.
Both sides finished close to what their chances were worth. This one was earned on the ice.
The Penguins buried 3 of 9 high-danger looks.
Penguins hold off the Islanders
A model, not a newsroom. Every number on these frames comes from the NHL's play-by-play and our own models. Nothing was watched, guessed or heard from anyone.
Read the full breakdownscore reads NYI–PIT
PIT went 3-for-9 from high danger on 2.04 expected goals — 1.0 above expected.
NYI finished -0.6 against expected, PIT +0.2.
Wrist shots carried the volume: NYI went 1-for-26, PIT 0-for-22. NYI scored 3 of theirs off the rush.
Two things happened in this game: who created the better chances, and who put the puck in the net. They are not the same thing, and this page separates them on purpose.
The one to watch is expected goals— the best single read on who deserved to win. When it disagrees with the scoreboard, that disagreement is usually the story. Nothing here is a projection; every figure is computed from this game's play-by-play. Full glossary →
A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5
A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5
Each club shoots toward its own end — NYI left, PIT right — the way you would watch it. A dot's size is how dangerous the look was, from distance and angle; it is a proxy for shot quality, not the xG model the article is written from. Hover a dot for the shooter and the clock.
Pittsburgh controls the underlying play. The model projects a 3.2–3.5 goal game favoring the Penguins, who own 56% win probability. Their 50.8% expected-goal share vs. New York's 47.7% reflects crisper shot placement and volume; the Corsi gap (50.2% to 49.0%) confirms Pittsburgh sustained possession through the minutes.
New York rides Anders Lee—the engine of their offense at 1.20 xG/60 with 9 goals, 20 assists, and a 6.4% shooting rate. Lee has 2 high-danger goals on top of that volume; the Penguins will task someone with neutralizing him. Bo Horvat (0.87 xG/60, 18 goals, 12.8% shooting) offers secondary punch but sits lower in volume.
Pittsburgh's advantage runs through Filip Hallander (1.28 xG/60, 0 goals, 3 assists) and Rickard Rakell (1.01 xG/60, 13 goals, 13 assists, 3 HD goals). Rakell has converted at 12.1% and feeds the model's lean; Hallander's assist rate and shot generation matter more than his goal total in this spot.
The Penguins' superior PDO (1.012 to New York's 0.992) signals regression risk, but their baseline xG advantage is real. Expect Pittsburgh to win the play; expect New York to hunt for a lucky bounce or early goal to compress the game.
Islanders
Penguins
Data: NHL API, Backcheck xG model
Season rates in this preview are from 2025-26 — this season's sample isn't live yet.
PIT by 12 points of win probability — a modest lean. Projected score NYI 3.2–3.5 PIT; 16% chance it's tied after 60.
PIT holds 5 of 6 process categories — and the luck row (0.992 vs 1.012) says PIT has been getting the bounces, which tends not to last.
Filip Hallander: 0G 3A, 1.28 xG/60.
Key matchup: Neutralize Anders Lee (9G, 1.20 xG/60, 2 HD goals)
Key matchup: Neutralize Anders Lee (9G, 1.20 xG/60, 2 HD goals)
Key matchup: Neutralize Filip Hallander (0G, 1.28 xG/60, 0 HD goals)
Key matchup: Neutralize Filip Hallander (0G, 1.28 xG/60, 0 HD goals)
Anders Lee: 9G 20A, 1.20 xG/60, 2 high-danger goals.