Motion-blurred skater in a Columbus Blue Jackets sweater
Breakdown · NYI at CBJ

Blue Jackets run the Islanders off the ice on the underlying numbers

The verdict · earned

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

NYI 2 · CBJ 4
◆ By the ModelJul 11, 10:10 PMxG: xgboost-0.758Edited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

Columbus won 4-2, and the expected-goals scoreboard showed the same verdict—but goaltending variance obscured just how thoroughly they dominated. The Blue Jackets controlled 76% of 5v5 expected goals (6.23–2.00), a decisive advantage that should have looked worse than the two-goal final margin.

D. Rittich's save-percentage perfection explains the gap. The Islanders goalie stopped 3.23 goals above expected, finishing 31 of 34 saves at 0.912 SV%—numbers that steal points Columbus actually earned. Without that performance, the underlying numbers would have matched the scoreboard exactly.

Columbus built their advantage the right way. They held 57% of shot attempts (35–26) and converted their quality into high-danger chances at a 10–3 rate. More important: they generated 0.079 xG per shot, compared to New York's 0.036. Columbus generated more dangerous looks, not just more looks.

The Blue Jackets left efficiency on the ice despite that control. They underperformed their xG by 2.23 goals, meaning J. Greaves should have seen a higher final margin. Two goals came from low-danger spots—situations any opposing goalie needs to have. That's coaching execution: scoring from areas where Rittich couldn't bail out his team.

Columbus was lethal on transition, scoring twice on 33 rush chances and generating 9 rebound opportunities in volume that mattered. They attacked in sequences where the Islanders defense couldn't settle.

New York's offense: four rebound chances with one converted, and lower-danger looks on every metric. The Islanders never drove the play.

By the underlying numbers, Columbus won by more than the final suggested. Rittich's performance—90% SV on 10 high-danger shots—was the only reason the scoreboard didn't reflect the gap in dominance.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Dec 28
NYI
2
CBJ
4

Blue Jackets run the Islanders off the ice on the underlying numbers

Chances 2.0 – 6.2Did they deserve it? →
Did they deserve it?

The Blue Jackets earned this one.

Expected goals · chance value
NYI
2.00
CBJ
6.23
24% of the chances76%

The board read NYI 2, CBJ 4. The chances read NYI 2.0, CBJ 6.2.

Our xG model · NHL play-by-play · all situations
Luck check
CBJ
−2.2
goals above expected
CBJ6.23 expected · 4 scored
Expected
Scored
NYI2.00 expected · 2 scored
Expected
Scored

Both sides finished close to what their chances were worth. This one was earned on the ice.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P1 08:09CBJK. Marchenko0–1
  2. P1 17:16NYIM. Shabanov1–1
  3. P2 13:24NYIB. Horvat2–1
  4. P3 15:27CBJI. Provorov2–2
  5. P3 16:41CBJK. Marchenko2–3
  6. P3 18:54CBJC. SillingerEN2–4
NHL play-by-play · chance value from our xG model
Where the shots came from
NYI
36 shots
2
Final
92 shots
CBJ
56 shots
4
NYI attackCBJ attack
NYI CBJ Goal
36
shots · 2 in
56
shots · 4 in
Every unblocked shot · press play to replay it
Chances by danger
NYICBJ
1 / 3
0.75 xG
High danger
1 / 10
3.04 xG
0 / 5
0.56 xG
Medium
1 / 22
2.48 xG
1 / 48
0.69 xG
Low
2 / 47
0.71 xG

High-danger looks: NYI 1 of 3, CBJ 1 of 10.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A+
D. Rittich
+3.2
NYI · 31/34
C
J. Greaves
+0.0
CBJ · 24/26
The numbers, checked
BACKCHECK

Blue Jackets run the Islanders off the ice on the underlying numbers

A model, not a newsroom. Every number on these frames comes from the NHL's play-by-play and our own models. Nothing was watched, guessed or heard from anyone.

Read the full breakdown
backcheckreport.com
01 / 08 · Final
Every goal, in order

How it happened

NHL play-by-play
1stshots 9–15
  1. 08:09CBJK. Marchenko(M. Marchment, D. Mateychuk)0–1
  2. 17:16NYIM. Shabanov(J. Pageau, A. Duclair)1–1
2ndshots 11–6
  1. 13:24NYIB. Horvat(R. Pulock)2–1
3rdshots 6–14
  1. 15:27CBJI. Provorov(D. Mateychuk, S. Monahan)2–2
  2. 16:41CBJK. Marchenko(A. Fantilli, D. Severson)2–3
  3. 18:54CBJC. Sillingerempty net(S. Monahan)2–4

score reads NYI–CBJ

Source · NHL play-by-play (api-web.nhle.com)
Process vs result

The numbers

XGBoost xG · NHL play-by-play
6.23
CBJ chances
Goals their shots were worth
−2.2
Finishing
Goals below what those chances were worth
1.015
CBJ puck luck
About 1.000 — a normal night for bounces
58.5%
Shot attempts
Over half — they had the puck more
Split by club

Who controlled the game

2.00Expected goals6.23
CBJ 76% of the chance quality
26Shots on goal35
3High-danger chances10
56All attempts (Corsi)79
Adjusted for score: NYI 41% · CBJ 59%
Faceoffs · CBJ won35%off65%neu37%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
NYI1 / 3 · 0.75 xG
CBJ1 / 10 · 3.04 xG
Medium dangermid-range
NYI0 / 5 · 0.56 xG
CBJ1 / 22 · 2.48 xG
Low dangerperimeter & point
NYI1 / 48 · 0.69 xG
CBJ2 / 47 · 0.71 xG

CBJ went 1-for-10 from high danger on 3.04 expected goals — 2.0 left on the table.

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

Finishing vs expected

expectedactual
NYI
2 G · 2.00 xG · +0.0
CBJ
4 G · 6.23 xG · -2.2
01234567

NYI finished +0.0 against expected, CBJ -2.2.

Source · Backcheck xG model
Shot types · rush and rebound chancesopen +
What they shot — and what went in

Shot diet

goalsshots
NYI
SNAP0/10
WRIST2/21
SLAP0/3
TIP IN0/2
BACKHAND0/0
OTHER0/20
CBJ
SNAP2/28
WRIST1/11
SLAP0/5
TIP IN0/6
BACKHAND1/6
OTHER0/23
NYI
CBJ
Off the rush
1 G on 17
1.34 xG
2 G on 33
3.59 xG
Off rebounds
1 G on 4
0.38 xG
0 G on 9
1.28 xG

Snap shots carried the volume: NYI went 0-for-10, CBJ 2-for-28. CBJ scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
New to these numbers?

Two things happened in this game: who created the better chances, and who put the puck in the net. They are not the same thing, and this page separates them on purpose.

The one to watch is expected goals— the best single read on who deserved to win. When it disagrees with the scoreboard, that disagreement is usually the story. Nothing here is a projection; every figure is computed from this game's play-by-play. Full glossary →

xG
Expected goals. Every shot scored by how often that exact look goes in. 2.5 xG means the chances were worth about two and a half goals.
HD
High-danger chances — shots from the slot and the crease, where shots actually become goals.
Corsi
Every shot attempt, including the ones that missed or got blocked. A rough read on who had the puck.
Adj.
Score-adjusted. Teams that trail shoot more and teams that lead sit back, so this corrects the attempt count for the scoreboard.
GSAx
Goals saved above expected. A positive number means the goalie stopped more than an average goalie would have on those shots.
PDO
Shooting % plus save % — a luck gauge. It sits near 1.000 over a season, so a game far from it usually means the bounces decided it.
Shot by shot

In the net

Graded on goals saved above expected
D. Rittich
NYI · 31/34 · .912
+3.2
saved above expected
A+
the night
By dangerG/attxGsaved
High danger1/103.0+2.0
Medium1/222.5+1.5
Low2/470.7-1.3

A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

J. Greaves
CBJ · 24/26 · .923
+0.0
saved above expected
C
the night
By dangerG/attxGsaved
High danger1/30.8-0.3
Medium0/50.6+0.6
Low1/480.7-0.3

A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

92 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
NYI
36 shots
2
Final
92 shots
CBJ
56 shots
4
NYI attackCBJ attack
NYI CBJ Goal

Each club shoots toward its own end — NYI left, CBJ right — the way you would watch it. A dot's size is how dangerous the look was, from distance and angle; it is a proxy for shot quality, not the xG model the article is written from. Hover a dot for the shooter and the clock.

Ranked from the box score

Three stars

Points first
Three stars · computed, not voted
D. Mateychuk
#5 · D · CBJ
0 G · 2 A · 2 SOG · 26:28 on ice · +2
K. Marchenko
#86 · R · CBJ
2 G · 0 A · 5 SOG · 21:18 on ice · +2
S. Monahan
#23 · C · CBJ
0 G · 2 A · 2 SOG · 17:14 on ice · +1
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Sun, Dec 28
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelJul 11, 10:09 PMEdited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

Columbus dominates even-strength play. The model projects a 2.5–2.8 game at 56% win probability for the Blue Jackets, built on a decisive underlying advantage: 52.0% expected goals and 51.0% possession (Corsi) versus the Islanders' 48.0% and 49.0%. New York's 0.993 PDO reveals underperformance; Columbus sits at 1.003, closer to league average.

The Offensive Picture

Anders Lee anchors New York's attack at 1.20 expected goals per 60 minutes, but his 6.4% shooting rate signals underperformance on 9 goals and 20 assists. Bo Horvat inverts that profile: 18 goals at 0.87 xG/60 and a 12.8% conversion rate, with only 3 high-danger goals suggesting his finish rate has outpaced his chance creation.

Columbus counters with Boone Jenner (0.98 xG/60, 11 goals, 21 assists, 2 high-danger) and Mathieu Olivier (0.89 xG/60, 12 goals at 13.3%, 1 high-danger). Both teams have gone scoreless on high-danger and rebound opportunities this season, a gap unlikely to persist.

The Defensive Liability

Alexander Romanov is New York's vulnerability; Conor Garland mirrors that problem for Columbus. Combined with the shot-quality and possession edges, the structural advantages tilt decisively toward the visitors.

Model, underlying metrics, and defensive matchups align on Columbus.

What the model said beforehand

The model's lean

CBJ 56%
56%
CBJ
Model favorite
44%
56%
NYI50CBJ

CBJ by 12 points of win probability — a modest lean. Projected score NYI 2.5–2.8 CBJ; 18% chance it's tied after 60.

Source · Backcheck Poisson projection · season scoring rates
Season rates · 5v5

Tale of the tape

NHL stats API · our xG
NYI← edge
edge →CBJ
48.0%52.0%
49.0%51.0%
2.482.63
2.692.43
1.782.12
1.941.98
0.9931.003

CBJ holds 5 of 6 process categories — and the luck row (0.993 vs 1.003) says CBJ has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · No games yet
NYI
0-0-0
+0 GD · 0d rest
CBJ
0-0-0
+0 GD · 0d rest
0.993
NYI PDO
Luck gauge · drifts to 1.000
1.003
CBJ PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

Where the edges live
  • The Blue Jackets own the underlying play — 52.0% 5v5 xG vs 48.0%.
Things to watch
  • The Blue Jackets own the underlying play — 52.0% 5v5 xG vs 48.0%.
Computed danger · scouting

Players to watch

NHL stats API · our xG
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
CBJ
Boone Jenner11G 21A
0.98 xG/60 · 2 HD · 9.6% sh
Mathieu Olivier12G 9A
0.89 xG/60 · 1 HD · 13.3% sh
Keep going

Where to next