Shutdown Assignment: Red Wings
Key matchup: Neutralize Cole Caufield (33G, 0.97 xG/60, 1 HD goals)
Key matchup: Neutralize Cole Caufield (33G, 0.97 xG/60, 1 HD goals)

Detroit controlled 70% of expected goals and lost 5-1. That scoreline reflects one man's domination, not the balance of play.
The Red Wings generated 31 shot attempts to Montreal's 17 and an xG advantage of 3.96-1.71 (70-30 split). Every metric screamed Detroit. Except the one that matters. J. Dobes stopped 30 of 31 shots at 0.968 SV%, turning a +2.96 advantage into a theft. J. Gibson let in 8 of 13 for Detroit, finishing at 0.615—a -3.69 crater—before C. Talbot took over and stopped all four he faced.
Detroit had the better chances. They generated 0.065 xG per shot versus Montreal's 0.045, a decisive edge in shot quality. High-danger scoring chances favored Detroit 6-3. And yet they left the ice with nothing to show for it, going 0-6 in those situations. Montreal, meanwhile, scored two goals from low-danger spots and three off the rush on just 17 chances—a deadly conversion rate.
Juraj Slafkovský's snap shot from the slot at 17:12 of the second period marked the inflection point. Montreal capitalized from there, while Detroit's offense continued to find only leather.
This was a heist in the truest sense: the superior team was outscored because one goaltender was immovable and the other was not. Detroit created better opportunities, crashed the net effectively (three rebound chances, zero conversions), and still walked away with nothing. Montreal played the percentages and punished every mistake. The analytics wanted a different result. J. Dobes disagreed.
J. Dobes stands tall as the Canadiens edge the Red Wings
The Red Wings deserved better.
The board read MTL 5, DET 1. The chances read MTL 1.7, DET 4.0.
The Canadiens scored 3.3 more than their chances were worth. That does not repeat.
The Red Wings went 0 for 6 from the slot.
J. Dobes stands tall as the Canadiens edge the Red Wings
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 MTL–DET
DET went 0-for-6 from high danger on 1.57 expected goals — 1.6 left on the table.
MTL finished +3.3 against expected, DET -3.0.
Snap shots carried the volume: MTL went 2-for-8, DET 1-for-17. MTL 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
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 — MTL left, DET 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.
The model projects a 3.2–3.4 goal game with the Red Wings at 54% win probability — essentially a coin flip.
Five-on-five, Detroit holds a thin edge: 50.9% expected goals against Montreal's 49.7%, and 49.2% shot attempts versus 48.2%. But Montreal is running hot — a 1.019 PDO means they're converting 3.2 percent above expected, and that typically regresses. Detroit sits at 0.986, positioned for positive regression if the underlying play stays clean. (Rates are from 2025-26; the 2026-27 sample is too small yet.)
The shutdown assignments cut differently. Detroit must contain Cole Caufield: 33 goals at 0.97 xG per 60, but only 1 high-danger finish — he's finishing outside the home-run area. Montreal must neutralize Alex DeBrincat: 17 goals at 0.88 xG/60 on a 9.0% shooting rate.
Montreal has an exposed weakness. Mike Matheson faces 2.90 expected goals against per 60 with 78 high-danger shots charged to him — volume that signals matchup liability for the Canadiens.
Oliver Kapanen (0.83 xG/60, 19 goals, 17.8% shooting) supplies secondary scoring for Montreal. Marco Kasper (0.81 xG/60, 7 goals, 6.1% shooting) does the same for Detroit. Both are shooting below their xG rate.
Montreal carries a 0% high-danger goal rate and 0% rebound goal rate; Detroit mirrors this. At this sample size, it's noise.
Axel Sandin-Pellikka is Detroit's defensive weak point — the forecheck target if Montreal generates slot chances.
The Red Wings' 54% edge reflects real play separation, but Montreal's PDO is the volatility factor. If the hot hand cools, the forecast narrows sharply.
Season rates in this preview are from 2025-26 — this season's sample isn't live yet.
DET by 8 points of win probability — a modest lean. Projected score MTL 3.2–3.4 DET; 16% chance it's tied after 60.
The season numbers split 3–3 — no clear process edge — and the luck row (1.019 vs 0.986) says MTL has been getting the bounces, which tends not to last.
Key matchup: Neutralize Cole Caufield (33G, 0.97 xG/60, 1 HD goals)
Key matchup: Neutralize Cole Caufield (33G, 0.97 xG/60, 1 HD goals)
Key matchup: Neutralize Alex DeBrincat (17G, 0.88 xG/60, 2 HD goals)
Key matchup: Neutralize Alex DeBrincat (17G, 0.88 xG/60, 2 HD goals)
Mike Matheson is on ice for 2.90 xGA/60 and 78 high-danger shots against this season.
Hunt matchups against Mike Matheson's shifts with the top line.
Axel Sandin-Pellikka is on ice for 2.83 xGA/60 and 46 high-danger shots against this season.
Hunt matchups against Axel Sandin-Pellikka's shifts with the top line.