Backcheck
Recap · NYI at WPG

Jets hold off the Islanders

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

By the ModelJul 12, 12:39 AMxG: xgboost-0.758Edited for clarity
Away
NYI
New York Islanders
4
Home
WPG
Winnipeg Jets
5
FINAL
Process vs result

The underlying story

3.47Expected goals4.92
59% share for the better side
27Shot attempts (SOG)22
4High-danger chances8
52Corsi (all attempts)47
Score-adjusted: 57% / 43%
Source · NHL play-by-play · XGBoost xG

The 5–4 final belied Winnipeg's dominance. The Jets controlled 59% of expected goals (4.92–3.47) and owned the high-danger advantage 8–4, evidence that the closer scoreline masked a meaningful gap.

The underlying story: Winnipeg generated higher-quality chances, averaging 0.105 xG per shot compared to New York's 0.067. That quality edge persisted through the game, even as both teams scored from low-danger spots—two apiece. Both sides converted rush opportunities at nearly identical rates (Winnipeg 2-for-20, New York 2-for-24).

Goaltending decided it. C. Hellebuyck's 0.852 save percentage exceeded I. Sorokin's 0.773. Matthew Schaefer's third-period wrist shot from the point represented the moment Winnipeg's dominance reached the scoreboard.

The Jets generated six rebound chances and converted one; New York created seven and converted one. Identical efficiency concealed a structural edge: Winnipeg's high-danger volume gave C. Hellebuyck easier defensive situations overall.

Three Stars

  • #81 K. Connor (WPG) — 1G, 1A in 21:30
  • #55 M. Scheifele (WPG) — 2A in 21:28
  • #51 E. Heineman (NYI) — 1G, 1A in 18:14
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
NYI0 / 4 · 1.30 xG
WPG1 / 8 · 3.14 xG
Medium dangermid-range
NYI2 / 12 · 1.44 xG
WPG2 / 9 · 1.30 xG
Low dangerperimeter & point
NYI2 / 36 · 0.74 xG
WPG2 / 30 · 0.48 xG

WPG went 1-for-8 from high danger on 3.14 expected goals — 2.1 left on the table.

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

Finishing vs expected

expectedactual
NYI
4 G · 3.47 xG · +0.5
WPG
5 G · 4.92 xG · +0.1
0123456
Goalies · GSAx (goals saved above expected)
I. SorokinNYI
-0.1
C. HellebuyckWPG
-0.5

NYI finished +0.5 against expected, WPG +0.1 — C. Hellebuyck (WPG) allowed 0.5 more goals than expected.

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

Shot diet

goalsshots
NYI
WRIST2/22
SLAP0/8
BACKHAND1/4
TIP IN0/3
SNAP1/4
BAT0/1
DEFLECTED0/0
OTHER0/10
WPG
WRIST2/19
SLAP1/3
BACKHAND0/5
TIP IN1/4
SNAP0/1
BAT0/2
DEFLECTED1/1
OTHER0/12
NYI
WPG
Off the rush
2 G on 24 · 1.56 xG
2 G on 20 · 2.38 xG
Off rebounds
1 G on 7 · 1.25 xG
1 G on 6 · 0.96 xG

Wrist shots carried the volume: NYI went 2-for-22, WPG 2-for-19. NYI scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
K. Connor
#81 · L · WPG
1 G · 1 A · 2 SOG · 21:30 TOI · +1
M. Scheifele
#55 · C · WPG
0 G · 2 A · 2 SOG · 21:28 TOI · +2
E. Heineman
#51 · L · NYI
1 G · 1 A · 6 SOG · 18:14 TOI
Ranked from the box score — points first · Backcheck
What the model flagged
  • NYI generated higher-quality looks than the shot total suggests.
  • WPG generated far more dangerous chances — 0.105 xG/shot vs 0.067. Quality over quantity.
  • WPG scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • NYI scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • WPG was lethal off the rush — 2 goals on 20 rush chances.
  • NYI was lethal off the rush — 2 goals on 24 rush chances.
  • WPG created 6 rebound opportunities (1 converted) — crashing the net effectively.
  • NYI created 7 rebound opportunities (1 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · NYI at WPG · 8:00 PM ET

Islanders at Jets: a genuine coin flip

By the ModelJul 12, 12:37 AMEdited for clarity
Win probability

The model's lean

52%
WPG
Model favorite
48%
52%
NYI50WPG

WPG by 4 points of win probability — effectively a coin flip. Projected score NYI 2.52.6 WPG; 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 →WPG
48.0%5v5 xG%48.0%
49.0%Corsi%49.0%
2.48xGF / 602.34
2.69xGA / 602.55
1.78Goals for / gm1.90
1.94Goals against / gm2.10
0.993PDO — luck, not skill0.998

WPG holds 4 of 6 process categories — and PDO (0.993 vs 0.998) says WPG has run hotter.

Source · MoneyPuck season tables · 5v5

The model can't pick a winner here. MoneyPuck's 5v5 projection gives New York 2.5 to 2.6 expected goals per game and pegs Winnipeg's win probability at 52%—meaning this is closer to a true coin flip than the lines suggest.

The Islanders are riding positive momentum at 6-2-2 over their last ten games, while Winnipeg sits underwater at minus-5 in goal differential for the same stretch. But the underlying metrics explain why the model resists picking sides: both teams possess identical shot quality across the season, with 48.0% expected goals percentage and 49.0% Corsi percentage at 5v5. Winnipeg holds a marginal luck advantage (0.998 PDO to New York's 0.993), which explains some of their resilience despite the recent slump.

The separation will come down to which team's dangerous players have room to work.

Players to Watch

NYI

  • Anders Lee — 1.20 xG/60, 9G 20A, 2 HD goals, 6.4% shooting
  • Bo Horvat — 0.87 xG/60, 18G 10A, 3 HD goals, 12.8% shooting

WPG

  • Nino Niederreiter — 0.87 xG/60, 6G 6A, 3 HD goals, 8.6% shooting
  • Kyle Connor — 0.83 xG/60, 25G 30A, 2 HD goals, 13.0% shooting

Alexander Romanov is New York's defensive liability; Colin Miller holds the same role in Winnipeg. Neither team generates meaningful rebound-goal advantages—a mutual weakness that suggests goaltending variance could tip the balance. This is what a true toss-up looks like: equivalent depth charts, mirrored underlying metrics, and no discernible edge in recent performance. Expect a close, low-variance affair where momentum matters as much as structure.

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
WPG
Nino Niederreiter6G 6A
0.87 xG/60 · 3 HD · 8.6% sh
Kyle Connor25G 30A
0.83 xG/60 · 2 HD · 13.0% sh
Source · MoneyPuck skaters