Backcheck
Recap · CGY at DET

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

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

By the ModelJul 12, 7:31 AMxG: xgboost-0.758Edited for clarity
Away
CGY
Calgary Flames
2
Home
DET
Detroit Red Wings
5
FINAL
Process vs result

The underlying story

2.70Expected goals4.87
64% share for the better side
27Shot attempts (SOG)25
2High-danger chances8
52Corsi (all attempts)51
Score-adjusted: 54% / 46%
Source · NHL play-by-play · XGBoost xG

Detroit won 5-2, but the story wasn't the scoreline—it was the gap in quality. With only 25 shot attempts to Calgary's 27, Detroit controlled the dangerous areas: 8 high-danger chances to 2, and an expected-goals edge of 4.87–2.70 (64–36).

Efficiency explains the margin. Detroit's shots generated 0.096 expected goals per shot; Calgary's, 0.052. When you shoot less but shoot smarter, you win decisively.

In the high-danger zone, Detroit converted 4 of 8 chances (50%). Calgary scored twice from low-danger spots. J. Gibson (25/27, 0.926 SV%) backed the advantage; D. Wolf (20/24, 0.833 SV%) gave it up.

Dominik Shine's wrist shot from the slot in the third period (18:55) exemplified Detroit's dominance near the net. By that point, the result was already determined.

Detroit's rush game sealed it: 5 goals on 28 attempts, a rate Calgary couldn't approach (2 on 25). Both teams created rebound opportunities effectively—Detroit generated 3, Calgary 4—but neither converted them. The difference was everywhere else.

A. DeBrincat controlled the offense (3A in 20:03). P. Kane provided the touch (2G in 19:24). J. Compher facilitated (2A in 21:15). By the underlying metrics, Detroit didn't need luck—just precision where it counted.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CGY0 / 2 · 0.57 xG
DET4 / 8 · 2.47 xG
Medium dangermid-range
CGY0 / 15 · 1.60 xG
DET0 / 17 · 1.97 xG
Low dangerperimeter & point
CGY2 / 35 · 0.53 xG
DET1 / 26 · 0.44 xG

DET went 0-for-17 from medium danger on 1.97 expected goals — 2.0 left on the table.

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

Finishing vs expected

expectedactual
CGY
2 G · 2.70 xG · -0.7
DET
5 G · 4.87 xG · +0.1
0123456
Goalies · GSAx (goals saved above expected)
D. WolfCGY
+0.9
J. GibsonDET
+0.7

CGY finished -0.7 against expected, DET +0.1 — D. Wolf (CGY) saved 0.9 goals above expected.

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

Shot diet

goalsshots
CGY
WRIST1/13
SNAP0/10
SLAP0/6
TIP IN1/6
BACKHAND0/2
DEFLECTED0/2
OTHER0/13
DET
WRIST1/14
SNAP2/15
SLAP0/4
TIP IN1/2
BACKHAND1/2
DEFLECTED0/0
OTHER0/14
CGY
DET
Off the rush
2 G on 25 · 1.59 xG
5 G on 28 · 4.13 xG
Off rebounds
0 G on 4 · 0.84 xG
0 G on 3 · 0.46 xG

Wrist shots carried the volume: CGY went 1-for-13, DET 1-for-14. DET scored 5 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
A. DeBrincat
#93 · R · DET
0 G · 3 A · 6 SOG · 20:03 TOI · +1
J. Compher
#37 · L · DET
0 G · 2 A · 2 SOG · 21:15 TOI · +1
P. Kane
#88 · R · DET
2 G · 0 A · 3 SOG · 19:24 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • CGY generated higher-quality looks than the shot total suggests.
  • DET generated far more dangerous chances — 0.096 xG/shot vs 0.052. Quality over quantity.
  • DET was clinical in the high-danger zone — 4/8 on HD chances (50%).
  • CGY scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • DET was lethal off the rush — 5 goals on 28 rush chances.
  • CGY was lethal off the rush — 2 goals on 25 rush chances.
  • DET created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • CGY created 4 rebound opportunities (0 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · CGY at DET · 7:00 PM ET

Flames at Red Wings: a genuine coin flip

By the ModelJul 12, 7:27 AMEdited for clarity
Win probability

The model's lean

54%
DET
Model favorite
46%
54%
CGY50DET

DET by 8 points of win probability — a modest lean. Projected score CGY 2.42.6 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

CGY← edge
edge →DET
47.0%5v5 xG%49.0%
49.0%Corsi%49.0%
2.36xGF / 602.38
2.66xGA / 602.50
1.76Goals for / gm1.73
2.15Goals against / gm2.07
0.985PDO — luck, not skill0.985

DET holds 5 of 6 process categories — and PDO (0.985 vs 0.985) says DET has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.4–2.6 goal spread with the Red Wings at 54% win probability—as close to a pick'em as you'll find. The underlying numbers explain the symmetry.

Both teams sport identical 49.0% Corsi. Detroit holds a modest shot-quality edge at 49.0% xG% versus Calgary's 47.0%. The real differentiator: both teams' PDO sits at 0.985. For Calgary, running cold means positive regression is due. Detroit simply matches its underlying talent.

Blake Coleman leads Calgary's offense at 0.89 xG/60 with 16 goals and 12 assists, including two high-danger chances at an 11.4% shooting rate. Matt Coronato (0.80 xG/60, 10 goals, 16 assists) converts at 6.6%—low for a scoring contributor, suggesting volume compensates for efficiency. Alex DeBrincat commands Detroit's attack at 0.88 xG/60 with 17 goals and 28 assists, two high-danger, at 9.0% conversion. Marco Kasper (0.81 xG/60, 7 goals, 8 assists) adds one high-danger goal at 6.1%, handling secondary scoring.

The offensive structures are nearly identical. Calgary generates 0% from high-danger chances and 0% from rebounds—all offense comes from play-driving rather than chaos. Detroit mirrors this exactly. Where each team shows defensive vulnerability becomes decisive. Matt Coronato is Calgary's weak link; Axel Sandin-Pellikka is Detroit's.

Coleman and DeBrincat will decide this. The team better at exploiting vulnerability while defending it wins. Calgary's PDO discount offers regression tailwind. Detroit lacks that advantage. In margins this narrow, that's the edge.

Computed danger · scouting

Players to watch

CGY
Blake Coleman16G 12A
0.89 xG/60 · 2 HD · 11.4% sh
Matt Coronato10G 16A
0.80 xG/60 · 0 HD · 6.6% 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