Backcheck
Recap · PIT at NSH

Predators run the Penguins off the ice on the underlying numbers

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

By the ModelJul 11, 3:56 PMxG: xgboost-0.758Edited for clarity
Away
PIT
Pittsburgh Penguins
1
Home
NSH
Nashville Predators
2
FINAL / OT
Process vs result

The underlying story

2.12Expected goals4.09
66% share for the better side
17Shot attempts (SOG)30
3High-danger chances4
36Corsi (all attempts)65
Score-adjusted: 35% / 66%
Source · NHL play-by-play · XGBoost xG

The Predators won 2-1 in overtime, but the underlying numbers say they should have won by more. Nashville controlled 66% of expected goals (4.09–2.12), held 64% of shot attempts, and won the high-danger-chance battle 4–3. A. Silovs's 0.933 SV% (+2.09 vs expected) kept Pittsburgh close.

Nashville was efficient in transition, scoring twice on 32 rush attempts. F. Forsberg and Steven Stamkos each notched 1G, with Steven Stamkos's snap shot from the high slot deciding it at 00:44 of overtime.

The disconnect: Nashville underperformed its own xG by 2.09 goals, wasting quality chances. Four rebound opportunities went unconverted despite crashing the net. J. Saros (16/17, 0.941 SV%, +1.12 vs expected) was steady in net.

A. Silovs was the decisive factor — saving nearly two full goals beyond expectation. Without his performance, this becomes a convincing Predators win instead of a one-goal edge.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
PIT1 / 3 · 0.76 xG
NSH0 / 4 · 1.01 xG
Medium dangermid-range
PIT0 / 9 · 0.94 xG
NSH2 / 22 · 2.44 xG
Low dangerperimeter & point
PIT0 / 24 · 0.42 xG
NSH0 / 39 · 0.63 xG

NSH went 0-for-4 from high danger on 1.01 expected goals — 1.0 left on the table.

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

Finishing vs expected

expectedactual
PIT
1 G · 2.12 xG · -1.1
NSH
2 G · 4.09 xG · -2.1
012345
Goalies · GSAx (goals saved above expected)
A. SilovsPIT
+2.1
J. SarosNSH
+1.1

PIT finished -1.1 against expected, NSH -2.1 — A. Silovs (PIT) saved 2.1 goals above expected.

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

Shot diet

goalsshots
PIT
SNAP0/11
WRIST1/5
TIP IN0/5
SLAP0/3
BACKHAND0/2
BAT0/0
DEFLECTED0/0
OTHER0/10
NSH
SNAP1/16
WRIST0/18
TIP IN0/6
SLAP0/3
BACKHAND1/2
BAT0/1
DEFLECTED0/1
OTHER0/18
PIT
NSH
Off the rush
1 G on 20 · 1.78 xG
2 G on 32 · 3.03 xG
Off rebounds
0 G on 1 · 0.22 xG
0 G on 4 · 0.45 xG

Snap shots carried the volume: PIT went 0-for-11, NSH 1-for-16. NSH scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
B. Skjei
#76 · D · NSH
0 G · 1 A · 1 SOG · 19:35 TOI
F. Forsberg
#9 · L · NSH
1 G · 0 A · 3 SOG · 19:24 TOI · +1
S. Stamkos
#91 · C · NSH
1 G · 0 A · 1 SOG · 17:27 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • A. Silovs (PIT) stopped 2.1 goals above expected.
  • NSH was lethal off the rush — 2 goals on 32 rush chances.
  • NSH created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • NSH underperformed xG by 2.1 — wasted quality chances.
  • A. Silovs (PIT) saved 2.1 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · PIT at NSH · 2:00 PM ET

Penguins at Predators: a genuine coin flip

By the ModelJul 11, 3:55 PMEdited for clarity
Win probability

The model's lean

50%
NSH
Model favorite
50%
50%
PIT50NSH

NSH by 0 points of win probability — effectively a coin flip. Projected score PIT 2.62.6 NSH; 18% chance it's tied after 60.

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

Tale of the tape

PIT← edge
edge →NSH
51.0%5v5 xG%49.0%
50.0%Corsi%50.0%
2.66xGF / 602.48
2.55xGA / 602.58
2.45Goals for / gm1.84
2.12Goals against / gm2.21
1.012PDO — luck, not skill0.992

PIT holds 5 of 6 process categories — and PDO (1.012 vs 0.992) says PIT has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.6–2.6 game with Nashville at 50% to win. This is as close to a toss as hockey gets.

The underlying numbers explain why. At even strength, Pittsburgh generates 51.0% of expected goals to Nashville's 49.0%, a margin so thin it evaporates inside normal variance. Shot attempts are dead even at 50.0% Corsi% apiece. The Penguins carry a modest shooting-luck advantage (1.012 PDO) while the Predators carry the inverse (0.992 PDO), but neither gap is large enough to swing a single game.

Recent form muddies the picture. Pittsburgh is 4–3–3 over their last ten games—a points-pace edge that matters for momentum. Nashville is drowning: –12 in goal differential over the same stretch, the kind of number that usually signals deeper problems than a bad run can cover. The Predators arrive on three days of rest to Pittsburgh's five, a minor advantage that won't overcome recent form.

Filip Hallander has been recalled from his conditioning loan but is undergoing further evaluation—likely unavailable. Hallander carries 1.28 expected goals per 60 minutes, the highest mark on the roster. His absence forces Pittsburgh to rely on Rickard Rakell, who owns 1.01 xG/60 to go with 13 goals and 13 assists. Rakell shoots 12.1%, aggressive enough to punish chances; he's also logged three high-danger goals.

Nashville counters with Zachary L'Heureux (0.85 xG/60, 4 goals, 16.0% shooting) and Filip Forsberg (0.80 xG/60, 23 goals, 13.6% shooting). Forsberg is the deeper threat—23 goals this season—while L'Heureux shoots well above league norms. Both skate on a team generating chances at a rate indistinguishable from Pittsburgh's.

Both teams sit at 0% on high-danger goal rate and rebound goals, implying neither has scored on second chances or greasy areas. It's not sustainable; expect regression. Pittsburgh's defensive weak link is Caleb Jones; Nashville's is Jonathan Marchessault.

This is a genuine coin flip because the model says so. The underlying numbers—51.0% xG% for Pittsburgh, 49.0% for Nashville—don't resolve into certainty, and recent form can't overcome such a thin edge.

Computed danger · scouting

Players to watch

PIT
Filip Hallander0G 3A
1.28 xG/60 · 0 HD · 0.0% sh
Rickard Rakell13G 13A
1.01 xG/60 · 3 HD · 12.1% sh
NSH
Zachary L'Heureux4G 0A
0.85 xG/60 · 1 HD · 16.0% sh
Filip Forsberg23G 17A
0.80 xG/60 · 4 HD · 13.6% sh
Source · MoneyPuck skaters