Backcheck
Recap · SJS at STL

Blues edge the Sharks in overtime

The Blues stole one. They lost the expected-goals battle 2.92–2.57 and won anyway.

By the ModelJul 12, 8:57 AMxG: xgboost-0.758Edited for clarity
Away
SJS
San Jose Sharks
1
Home
STL
St. Louis Blues
2
FINAL / OT
Process vs result

The underlying story

2.92Expected goals2.57
53% share for the better side
25Shot attempts (SOG)23
4High-danger chances4
61Corsi (all attempts)50
Score-adjusted: 56% / 44%
Source · NHL play-by-play · XGBoost xG

St. Louis stole this one. The Sharks carried the underlying play—2.92 expected goals to 2.57—yet fell 2-1 in overtime on Dylan Holloway's backhander from the doorstep at 04:57. San Jose's failure to finish was staggering: they underperformed their xG by 1.92 goals, meaning they squandered multiple quality chances.

The Blues held 48% of shot attempts (23–25 on goal), the slighter possession edge in a tight game. High-danger chances were split evenly at 4–4, but what mattered was execution: St. Louis buried 2 of 4 high-danger chances (50%), while San Jose couldn't convert.

Goaltending was the critical margin. J. Hofer (STL) saved 1.92 goals above expected on 25 shots. Y. Askarov (SJS) was 11 for 11 through regulation, but A. Nedeljkovic's relief appearance fell short: 0.66 worse than expected on 12 shots.

Dylan Holloway's speed in overtime settled it. The Blues found seams the Sharks' defense couldn't contain, a pattern that defined their efficiency: 2 goals on 21 rush chances, cashing in on transition play when San Jose was stretched thin.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SJS0 / 4 · 0.94 xG
STL2 / 4 · 0.93 xG
Medium dangermid-range
SJS1 / 13 · 1.46 xG
STL0 / 9 · 1.17 xG
Low dangerperimeter & point
SJS0 / 44 · 0.52 xG
STL0 / 37 · 0.47 xG

STL went 0-for-9 from medium danger on 1.17 expected goals — 1.2 left on the table.

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

Finishing vs expected

expectedactual
SJS
1 G · 2.92 xG · -1.9
STL
2 G · 2.57 xG · -0.6
01234
Goalies · GSAx (goals saved above expected)
Y. AskarovSJS
+1.2
A. NedeljkovicSJS
-0.7
J. HoferSTL
+1.9

SJS finished -1.9 against expected, STL -0.6 — J. Hofer (STL) saved 1.9 goals above expected.

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

Shot diet

goalsshots
SJS
WRIST1/22
SLAP0/7
TIP IN0/4
SNAP0/0
BACKHAND0/3
POKE0/1
WRAP AROUND0/0
OTHER0/24
STL
WRIST0/18
SLAP0/4
TIP IN0/3
SNAP1/6
BACKHAND1/2
POKE0/0
WRAP AROUND0/1
OTHER0/16
SJS
STL
Off the rush
1 G on 23 · 2.24 xG
2 G on 21 · 2.01 xG
Off rebounds
0 G on 1 · 0.15 xG
0 G on 0 · 0.00 xG

Wrist shots carried the volume: SJS went 1-for-22, STL 0-for-18. STL scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
D. Holloway
#81 · L · STL
1 G · 1 A · 3 SOG · 20:54 TOI · +2
P. Broberg
#6 · D · STL
0 G · 1 A · 0 SOG · 23:30 TOI · +2
A. Wennberg
#21 · C · SJS
1 G · 0 A · 2 SOG · 22:37 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • Y. Askarov (SJS) stopped 1.2 goals above expected.
  • STL was clinical in the high-danger zone — 2/4 on HD chances (50%).
  • STL was lethal off the rush — 2 goals on 21 rush chances.
  • SJS underperformed xG by 1.9 — wasted quality chances.
  • Y. Askarov (SJS) saved 2.6 goals above expected — stole the show.
  • J. Hofer (STL) saved 1.9 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · SJS at STL · 8:00 PM ET

Sharks at Blues: a genuine coin flip

By the ModelJul 12, 8:55 AMEdited for clarity
Win probability

The model's lean

54%
STL
Model favorite
46%
54%
SJS50STL

STL by 8 points of win probability — a modest lean. Projected score SJS 2.42.6 STL; 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 →STL
48.0%5v5 xG%49.0%
47.0%Corsi%48.0%
2.33xGF / 602.34
2.56xGA / 602.40
1.99Goals for / gm2.00
2.32Goals against / gm2.12
0.998PDO — luck, not skill1.000

STL holds 6 of 6 process categories — and PDO (0.998 vs 1.000) says STL has run hotter.

Source · MoneyPuck season tables · 5v5

This looks like the closest thing to a coin flip in the NHL tonight. The model projects San Jose and St. Louis exchanging 2.4 to 2.6 goals apiece, with the Blues getting barely a tilt at 54% win probability—so marginal an edge you might as well call it even.

On the surface, St. Louis has a clear narrative: they're 7-1-2 over their last 10 and humming. San Jose is drowning, -17 in goal differential across the same span. But the underlying numbers refuse to declare a winner. At 5v5, the Blues lead in expected goals (49.0% xG% vs. 48.0%) and shot differential (48.0% Corsi% vs. 47.0%), but both edges are inside the margin of noise. The PDO readings—St. Louis at 1.000, San Jose at 0.998—are so close they're statistical twins. St. Louis's recent form might reflect run-of-luck parity, not a fundamental gap.

Talent-wise, the matchups tilt into murky territory. San Jose leans on Pavol Regenda, who's averaging 1.10 xG per 60 minutes with 5 goals and 1 assist, including 2 high-danger goals at a 16.1% shooting rate. Igor Chernyshov (0.91 xG/60, 6G 8A) provides secondary punch. St. Louis counters with Jimmy Snuggerud at 0.86 xG/60 (15G 22A, 2 HD goals, 11.9% shooting) and Dylan Holloway, close behind at 0.82 xG/60 with 13 goals and 24 assists (1 HD goal, 10.8% shooting). The Blues have more prolific goal-getters on the sheet, but Regenda's efficiency is San Jose's sharpest weapon.

The other variable: both J. Hofer and A. Nedeljkovic are on back-to-backs, which raises the specter of a tired starter or an unexpected bench appearance. Neither team has a rest advantage, and both are gambling on whether their designated starter will be sharp or run-down. If either gets pulled early, momentum swings hard. If both hold, the game likely stays in that knife's-edge zone the model has already identified.

Take the 54% Blues probability if you need a number, but don't mistake a slight lean for conviction. This is the sort of game where the team that gets two clean looks and converts wins 3-1. The team that doesn't loses by the same margin. Pick your player, pick your starting goalie, and hope the puck bounces right—because the math sure isn't calling it.

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
STL
Jimmy Snuggerud15G 22A
0.86 xG/60 · 2 HD · 11.9% sh
Dylan Holloway13G 24A
0.82 xG/60 · 1 HD · 10.8% sh
Source · MoneyPuck skaters