Backcheck
Recap · SJS at WPG

Sharks pull away from the Jets

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

By the ModelJul 12, 12:05 PMxG: xgboost-0.758Edited for clarity
Away
SJS
San Jose Sharks
6
Home
WPG
Winnipeg Jets
1
FINAL
Process vs result

The underlying story

4.00Expected goals3.05
57% share for the better side
33Shot attempts (SOG)27
8High-danger chances3
55Corsi (all attempts)59
Score-adjusted: 44% / 56%
Source · NHL play-by-play · XGBoost xG

The Sharks' 6-1 victory masks a more revealing story: San Jose overperformed their expected goals by 2.00, while Winnipeg underperformed by 2.05—a four-goal swing between what the numbers said should happen and what the scoreboard showed.

Underlying play told a different tale. The Sharks controlled 57% of 5v5 expected goals (4.00–3.05) despite outshooting Winnipeg only 33–27, generating higher-quality looks at 0.073 xG per shot versus Winnipeg's 0.052. The Jets squandered their opportunities—they had eight high-danger chances to San Jose's three, yet scored just once.

A. Nedeljkovic (SJS) took over the show, stopping 26 of 27 shots for a 0.963 save percentage and a +2.05 goal differential against expected outcomes. E. Comrie (WPG) suffered the opposite: stopped 27 of 33 for a 0.818 save percentage and a –2.00 gap.

The Sharks were relentless in execution. They scored three goals on 26 rush chances and generated seven rebound opportunities, converting three. Macklin Celebrini's snap shot from the high slot at 1:14 of the third period exemplified their ability to finish from dangerous areas, turning San Jose's underlying control into actual runs.

Three Stars:

  • #3 J. Klingberg (SJS) — 3A in 20:54
  • #71 M. Celebrini (SJS) — 1G, 2A in 14:41
  • #72 W. Eklund (SJS) — 1G, 2A in 14:24
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SJS1 / 8 · 1.95 xG
WPG0 / 3 · 0.61 xG
Medium dangermid-range
SJS5 / 11 · 1.29 xG
WPG1 / 17 · 1.60 xG
Low dangerperimeter & point
SJS0 / 36 · 0.76 xG
WPG0 / 39 · 0.84 xG

SJS went 5-for-11 from medium danger on 1.29 expected goals — 3.7 above expected.

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

Finishing vs expected

expectedactual
SJS
6 G · 4.00 xG · +2.0
WPG
1 G · 3.05 xG · -2.0
01234567
Goalies · GSAx (goals saved above expected)
A. NedeljkovicSJS
+2.0
E. ComrieWPG
-2.0

SJS finished +2.0 against expected, WPG -2.0 — A. Nedeljkovic (SJS) saved 2.0 goals above expected.

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

Shot diet

goalsshots
SJS
WRIST3/24
SNAP3/11
SLAP0/4
TIP IN0/5
BACKHAND0/2
WRAP AROUND0/1
OTHER0/8
WPG
WRIST0/31
SNAP1/8
SLAP0/7
TIP IN0/0
BACKHAND0/3
WRAP AROUND0/0
OTHER0/10
SJS
WPG
Off the rush
3 G on 26 · 2.19 xG
1 G on 35 · 2.35 xG
Off rebounds
3 G on 7 · 1.44 xG
0 G on 2 · 0.05 xG

Wrist shots carried the volume: SJS went 3-for-24, WPG 0-for-31. SJS scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
J. Klingberg
#3 · D · SJS
0 G · 3 A · 0 SOG · 20:54 TOI · +3
M. Celebrini
#71 · C · SJS
1 G · 2 A · 3 SOG · 14:41 TOI · +2
W. Eklund
#72 · L · SJS
1 G · 2 A · 3 SOG · 14:24 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • A. Nedeljkovic (SJS) stopped 2.0 goals above expected.
  • E. Comrie (WPG) gave up 2.0 goals more than expected — well below their workload.
  • SJS had the higher quality looks — 0.073 xG/shot vs 0.052.
  • SJS was lethal off the rush — 3 goals on 26 rush chances.
  • SJS created 7 rebound opportunities (3 converted) — crashing the net effectively.
  • WPG underperformed xG by 2.0 — wasted quality chances.
  • SJS outperformed their expected goals by 2.0 — elite finishing or lucky bounces.
  • A. Nedeljkovic (SJS) saved 2.0 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · SJS at WPG · 8:00 PM ET

Sharks at Jets: a genuine coin flip

By the ModelJul 12, 11:57 AMEdited for clarity
Win probability

The model's lean

52%
WPG
Model favorite
48%
52%
SJS50WPG

WPG by 4 points of win probability — effectively a coin flip. Projected score SJS 2.42.6 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

SJS← edge
edge →WPG
48.0%5v5 xG%48.0%
47.0%Corsi%49.0%
2.33xGF / 602.34
2.56xGA / 602.55
1.99Goals for / gm1.90
2.32Goals against / gm2.10
0.998PDO — luck, not skill0.998

WPG holds 5 of 6 process categories — and PDO (0.998 vs 0.998) says WPG has run hotter.

Source · MoneyPuck season tables · 5v5

San Jose and Winnipeg are essentially interchangeable. The model projects a 2.4–2.6 goal range favoring the Jets, with Winnipeg's win probability sitting at exactly 52%—as close to a true coin flip as the numbers offer.

On paper, both teams are built identically. San Jose and Winnipeg each carry 48.0% expected goals share at five-on-five; the Sharks edge the Corsi battle at 47.0% versus 49.0%, a difference that means nothing. Both teams register 0.998 PDO, suggesting neither has luck working for or against them. This is parity.

Winnipeg's recent form tilts slightly negative. The Jets are minus-7 in goal differential over their last ten games—not catastrophic, but enough to suggest some slippage.

The goaltending angle offers the only tactical wrinkle. E. Comrie starts on a back-to-back, which typically signals either a backup appearance or a fatigued starter. That's worth monitoring.

Pavol Regenda is likely out and marked inactive, removing San Jose's most electric option at five-on-five. Regenda was running 1.10 expected goals per 60 minutes with a 16.1% shooting rate, translating to five goals and one assist. Igor Chernyshov carries a lighter offensive touch at 0.91 xG/60 but has produced six goals and eight assists with a 15.0% clip—something to respect.

Winnipeg's attack runs through Kyle Connor, who has assembled 25 goals and 30 assists while maintaining 0.83 xG/60 and 13.0% shooting efficiency. Nino Niederreiter offers secondary punch: 0.87 xG/60, six goals, six assists, and the highest hard-on-goal conversion rate in this matchup at 8.6%. That asymmetry—Connor's volume versus Niederreiter's efficiency—may prove decisive if either team gets a handful of clean looks.

The defensive vulnerabilities here matter less than offensive execution. Winnipeg's Colin Miller and San Jose's Igor Chernyshov both carry weaknesses, but neither is likely to be tested enough to swing the game. This contest will be decided by which team converts its half-chances first.

Everything points to a tightly matched game that could plausibly swing either way. The model's 52% mark for Winnipeg reflects that reality. Respect the coin flip.

Computed danger · scouting

Players to watch

SJS
Pavol Regenda5G 1A
1.10 xG/60 · 2 HD · 16.1% sh
Igor Chernyshov6G 8A
0.91 xG/60 · 1 HD · 15.0% 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