Backcheck
Recap · NYI at DET

Red Wings run the Islanders off the ice on the underlying numbers

The Red Wings earned it — the game and the expected-goals battle both.

By the ModelJul 11, 8:36 PMxG: xgboost-0.758Edited for clarity
Away
NYI
New York Islanders
2
Home
DET
Detroit Red Wings
3
FINAL
Process vs result

The underlying story

1.96Expected goals4.06
67% share for the better side
18Shot attempts (SOG)21
3High-danger chances9
52Corsi (all attempts)62
Score-adjusted: 44% / 56%
Source · NHL play-by-play · XGBoost xG

The Red Wings dominated the underlying metrics but barely won. They controlled 67% of expected goals at 5-on-5 (4.06–1.96), yet their 3–2 victory left a goal on the table.

Goaltending explained the gap. Ilya Sorokin made 18 of 21 saves and overperformed his expected save percentage by 1.06 goals — the difference between a rout and a close game. J. Gibson stopped 16 of 18 shots for Detroit and played at expectation.

Detroit generated far more dangerous chances. The Red Wings' shots averaged 0.065 expected goals each; the Islanders' averaged 0.038. Detroit won the high-danger chances 9–3 and held 54% of shot attempts (21–18 on goal).

Detroit's efficiency was striking in transition. They scored three goals on 28 rush attempts, compared to two on 18 for New York. The Red Wings' power play was dominant: 2 goals on 3 shots, against 0.29 expected goals. New York generated higher-quality looks than their shot total suggested, but both teams wasted four rebound opportunities each.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
NYI0 / 3 · 0.57 xG
DET1 / 9 · 2.53 xG
Medium dangermid-range
NYI2 / 9 · 0.95 xG
DET1 / 10 · 1.00 xG
Low dangerperimeter & point
NYI0 / 40 · 0.45 xG
DET1 / 43 · 0.53 xG

DET went 1-for-9 from high danger on 2.53 expected goals — 1.5 left on the table.

Source · Backcheck xG model · NHL play-by-play
The luck layer

Finishing vs expected

expectedactual
NYI
2 G · 1.96 xG · +0.0
DET
3 G · 4.06 xG · -1.1
012345
Goalies · GSAx (goals saved above expected)
I. SorokinNYI
+1.1
J. GibsonDET
-0.0

NYI finished +0.0 against expected, DET -1.1 — I. Sorokin (NYI) saved 1.1 goals above expected.

Source · Backcheck xG model
What they shot — and what went in

Shot diet

goalsshots
NYI
WRIST1/15
SNAP0/4
SLAP1/7
BACKHAND0/3
TIP IN0/1
OTHER0/22
DET
WRIST1/12
SNAP2/18
SLAP0/3
BACKHAND0/4
TIP IN0/4
OTHER0/21
NYI
DET
Off the rush
2 G on 18 · 1.35 xG
3 G on 28 · 2.73 xG
Off rebounds
0 G on 4 · 0.50 xG
0 G on 3 · 0.63 xG

Wrist shots carried the volume: NYI went 1-for-15, DET 1-for-12. DET scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
L. Raymond
#23 · L · DET
0 G · 3 A · 1 SOG · 19:51 TOI
M. Seider
#53 · D · DET
0 G · 2 A · 0 SOG · 24:23 TOI · -1
A. DeBrincat
#93 · R · DET
2 G · 0 A · 6 SOG · 16:50 TOI
Ranked from the box score — points first · Backcheck
What the model flagged
  • NYI generated higher-quality looks than the shot total suggests.
  • I. Sorokin (NYI) stopped 1.1 goals above expected.
  • DET generated far more dangerous chances — 0.065 xG/shot vs 0.038. Quality over quantity.
  • DET was lethal off the rush — 3 goals on 28 rush chances.
  • NYI was lethal off the rush — 2 goals on 18 rush chances.
  • DET created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • NYI created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • DET power play was dominant — 2 PPG on 3 PP shots (0.29 xG).
Before the game — the model's pre-game read
Preview · NYI at DET · 7:00 PM ET

Islanders at Red Wings: a genuine coin flip

By the ModelJul 11, 8:45 PMEdited for clarity
Win probability

The model's lean

53%
DET
Model favorite
47%
53%
NYI50DET

DET by 6 points of win probability — a modest lean. Projected score NYI 2.52.7 DET; 18% chance it's tied after 60.

Source · Backcheck Poisson projection · season scoring rates
Season profile · edge from the spine

Tale of the tape

NYI← edge
edge →DET
48.0%5v5 xG%49.0%
49.0%Corsi%49.0%
2.48xGF / 602.38
2.69xGA / 602.50
1.78Goals for / gm1.73
1.94Goals against / gm2.07
0.993PDO — luck, not skill0.985

The season numbers split 33 — no clear process edge — and PDO (0.993 vs 0.985) says NYI has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects this as a pick'em: Detroit at 53% win probability in a 2.5-2.7 goal game. These teams are statistical twins—both at 49.0% Corsi%, the Islanders at 48.0% xG% and Detroit at 49.0%. The only real separation is luck: Detroit's PDO of 0.985 trails New York's 0.993, suggesting the Red Wings have been marginally snake-bitten.

Anders Lee is the Islanders' xG factory at 1.20 per 60. His 6.4% shooting rate reveals the tension: 9 goals and 20 assists with 2 high-danger goals still undershoots his chance creation. Bo Horvat is the real edge—0.87 xG/60 with an elite 12.8% shooting percentage yields 18 goals, including 3 from high-danger areas. That's a player who finishes when opportunities arise.

Detroit counters with secondary scoring the Islanders lack. Alex DeBrincat (0.88 xG/60, 17 goals, 28 assists, 2 high-danger goals) shoots 9.0%, combining volume and efficiency. Marco Kasper (0.81 xG/60, 7 goals, 8 assists, 1 high-danger goal) adds depth at 6.1%.

Defensively, Alexander Romanov is New York's weak link; Axel Sandin-Pellikka is Detroit's. Neither team has a goaltending advantage by these numbers. This game hinges on which goaltender plays better.

Two evenly matched teams on paper. Goaltending decides it.

Computed danger · scouting

Players to watch

NYI
Anders Lee9G 20A
1.20 xG/60 · 2 HD · 6.4% sh
Bo Horvat18G 10A
0.87 xG/60 · 3 HD · 12.8% sh
DET
Alex DeBrincat17G 28A
0.88 xG/60 · 2 HD · 9.0% sh
Marco Kasper7G 8A
0.81 xG/60 · 1 HD · 6.1% sh
Source · MoneyPuck skaters