Motion-blurred skater in a Anaheim Ducks sweater
Breakdown · ANA at SJS

Ducks run the Sharks off the ice on the underlying numbers

The verdict · earned

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

ANA 7 · SJS 6
◆ By the ModelJun 16, 2:31 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

San Jose's 3.14-goal overperformance on expected goals kept this competitive; Anaheim's underlying dominance won it.

SJS generated only 34% of expected goals (2.86 to 5.55) and managed 23 shot attempts to Anaheim's 44. High-danger chances favored ANA 12–6. Yet San Jose scored six. They outperformed their xG by 3.14, meaning they converted at a rate that doesn't match their opportunities—elite finishers or fortunate bounces, but a gap that reveals the scoreboard understates how thoroughly Anaheim controlled play.

Anaheim built dominance through volume. They finished two goals ahead of their own 5.55 xG, but their shot-attempt and expected-goal advantage was so large that even outperforming their model only shrank the margin. P. Mrazek gave up 3.14 more goals than expected—a stark underperformance that exposed Anaheim's true goaltending deficit despite the win.

Y. Askarov was nearly invincible on high-danger chances, stopping 92% of 12 shots from close range. San Jose was clinical on their limited HD attempts: 3 of 6 converted (50%). They added 5 goals off the rush on 23 chances and created just 3 rebound opportunities, scoring 1. Anaheim generated 10 rebound opportunities and scored 3 goals from rebounds—a decisive edge in secondary chances.

Leo Carlsson's wrist shot from the high slot at 0:46 in overtime closed it. By then, Anaheim's dominance across shot suppression, expected goals, and high-danger chances had become inevitable.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · OT · Oct 11
ANA
7
SJS
6

Ducks run the Sharks off the ice on the underlying numbers

Chances 5.5 – 2.9Did they deserve it? →
Did they deserve it?

The Ducks earned this one.

Expected goals · chance value
ANA
5.55
SJS
2.86
66% of the chances34%

The board read ANA 7, SJS 6. The chances read ANA 5.5, SJS 2.9.

Our xG model · NHL play-by-play · all situations
Luck check
ANA
+1.4
goals above expected
ANA5.55 expected · 7 scored
Expected
Scored
SJS2.86 expected · 6 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 03:40SJST. ToffoliPP0–1
  2. P1 11:12SJSR. Reaves0–2
  3. P1 11:53ANAC. Gauthier1–2
  4. P1 15:14ANAB. SenneckePP2–2
  5. P2 05:21SJSM. Ferraro2–3
  6. P2 06:19ANAA. Killorn3–3
  7. P2 10:34SJSJ. KlingbergPP3–4
+6 more on the full breakdown
NHL play-by-play · chance value from our xG model
Where the shots came from
ANA
66 shots
7
Final
96 shots
SJS
30 shots
6
ANA attackSJS attack
ANA SJS Goal
66
shots · 7 in
30
shots · 6 in
Every unblocked shot · press play to replay it
Chances by danger
ANASJS
1 / 12
2.73 xG
High danger
3 / 6
1.35 xG
4 / 15
1.78 xG
Medium
2 / 11
1.05 xG
2 / 58
1.04 xG
Low
1 / 26
0.46 xG

High-danger looks: ANA 1 of 12, SJS 3 of 6.

Danger tiers by our xG model · high ≥ 20% chance
In the net
D-
Y. Askarov
−1.4
SJS · 37/44
F
P. Mrazek
−3.1
ANA · 17/23
The numbers, checked
BACKCHECK

Ducks run the Sharks 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 14–7
  1. 03:40SJST. Toffolipower play(W. Smith, M. Celebrini)0–1
  2. 11:12SJSR. Reaves(A. Gaudette, N. Leddy)0–2
  3. 11:53ANAC. Gauthier(M. McTavish, R. Gudas)1–2
  4. 15:14ANAB. Senneckepower play(M. McTavish, O. Zellweger)2–2
2ndshots 15–10
  1. 05:21SJSM. Ferraro(W. Smith, M. Celebrini)2–3
  2. 06:19ANAA. Killorn(M. Granlund)3–3
  3. 10:34SJSJ. Klingbergpower play(M. Celebrini, W. Smith)3–4
  4. 17:14SJSA. Gaudettepower play(A. Wennberg, D. Orlov)3–5
  5. 19:29ANAC. Kreiderpower play(L. Carlsson, T. Terry)4–5
3rdshots 14–6
  1. 05:34SJSJ. Skinner(T. Dellandrea, D. Orlov)4–6
  2. 10:29ANAC. Gauthier(M. McTavish, B. Sennecke)5–6
  3. 19:09ANAC. Kreiderpower play(L. Carlsson, T. Terry)6–6
OTshots 1–0
  1. 00:46ANAL. Carlsson(M. Granlund)7–6

score reads ANA–SJS

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

The numbers

XGBoost xG · NHL play-by-play
5.55
ANA chances
Goals their shots were worth
+1.4
Finishing
Goals above what those chances were worth
0.943
ANA puck luck
Below 1.000 — the bounces went against them
66.4%
Shot attempts
Over half — they had the puck more
Split by club

Who controlled the game

5.55Expected goals2.86
ANA 66% of the chance quality
44Shots on goal23
12High-danger chances6
85All attempts (Corsi)43
Adjusted for score: ANA 69% · SJS 31%
Faceoffs · SJS won43%off57%neu68%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
ANA1 / 12 · 2.73 xG
SJS3 / 6 · 1.35 xG
Medium dangermid-range
ANA4 / 15 · 1.78 xG
SJS2 / 11 · 1.05 xG
Low dangerperimeter & point
ANA2 / 58 · 1.04 xG
SJS1 / 26 · 0.46 xG

ANA went 4-for-15 from medium danger on 1.78 expected goals — 2.2 above expected.

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

Finishing vs expected

expectedactual
ANA
7 G · 5.55 xG · +1.4
SJS
6 G · 2.86 xG · +3.1
012345678

ANA finished +1.4 against expected, SJS +3.1.

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

Shot diet

goalsshots
ANA
WRIST6/46
SLAP0/8
TIP IN1/7
BACKHAND0/3
SNAP0/1
POKE0/1
OTHER0/19
SJS
WRIST3/17
SLAP3/8
TIP IN0/2
BACKHAND0/2
SNAP0/1
POKE0/0
OTHER0/13
ANA
SJS
Off the rush
4 G on 37
3.08 xG
5 G on 23
2.15 xG
Off rebounds
3 G on 10
1.97 xG
1 G on 3
0.47 xG

Wrist shots carried the volume: ANA went 6-for-46, SJS 3-for-17. SJS scored 5 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
P. Mrazek
ANA · 17/23 · .739
-3.1
saved above expected
F
the night
By dangerG/attxGsaved
High danger3/61.4-1.6
Medium2/111.1-0.9
Low1/260.5-0.5

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

Y. Askarov
SJS · 37/44 · .841
-1.4
saved above expected
D-
the night
By dangerG/attxGsaved
High danger1/122.7+1.7
Medium4/151.8-2.2
Low2/581.0-1.0

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

96 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
ANA
66 shots
7
Final
96 shots
SJS
30 shots
6
ANA attackSJS attack
ANA SJS Goal

Each club shoots toward its own end — ANA left, SJS 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
M. McTavish
#23 · C · —
0 G · 3 A · 5 SOG · 20:50 on ice
M. Celebrini
#71 · C · —
0 G · 3 A · 1 SOG · 20:23 on ice
L. Carlsson
#91 · C · —
1 G · 2 A · 3 SOG · 19:42 on ice · +2
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Sat, Oct 11
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelSep 22, 1:58 AMEdited 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

The model projects a 3.4–3.3 Anaheim win with the Ducks at 51% to take it. This is about as close to a pick'em as you'll find.

The Ducks own the underlying play at 5v5: 50.4% expected goal share to San Jose's 46.5%, and 52.2% Corsi to 47.0%. Expect territorial tilt toward the visitors. But the Sharks are running hotter in results — their 0.998 PDO versus the Ducks' 0.981 suggests Anaheim is underperforming their shot quality and due for positive regression.

This game turns on two forward matchups. Beckett Sennecke (20G, 1.03 xG/60, 8 HD goals, 13.5% sh%) and Cutter Gauthier (25G, 0.99 xG/60, 2 HD goals, 12.9% sh%) drive the Ducks' output. For San Jose, Pavol Regenda leads with 1.10 xG/60 and 16.1% shooting — the sheet's highest shot quality — though he owns just 5G and 2 HD goals. Igor Chernyshov (6G, 0.91 xG/60, 1 HD goal, 15.0% sh%) supplies secondary scoring.

Anaheim's advantages run structural. Regenda's shot quality is San Jose's sole lifeline.

Season rates in this preview are from 2025-26 — this season's sample isn't live yet.

What the model said beforehand

The model's lean

ANA 51%
51%
ANA
Model favorite
51%
49%
ANA50SJS

ANA by 2 points of win probability — effectively a coin flip. Projected score ANA 3.4–3.3 SJS; 16% 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
ANA← edge
edge →SJS
50.4%46.5%
52.2%47.0%
3.402.87
3.353.30
3.233.04
3.513.54
0.9810.998

ANA holds 5 of 6 process categories — and the luck row (0.981 vs 0.998) says SJS has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · No games yet
ANA
0-0-0
+0 GD · 0d rest
SJS
0-0-0
+0 GD · 0d rest
0.981
ANA PDO
Luck gauge · drifts to 1.000
0.998
SJS PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

TACTICALSJS

Shutdown Assignment: Sharks

Key matchup: Neutralize Beckett Sennecke (20G, 1.03 xG/60, 8 HD goals)

Key matchup: Neutralize Beckett Sennecke (20G, 1.03 xG/60, 8 HD goals)

TACTICALANA

Shutdown Assignment: Ducks

Key matchup: Neutralize Pavol Regenda (5G, 1.10 xG/60, 2 HD goals)

Key matchup: Neutralize Pavol Regenda (5G, 1.10 xG/60, 2 HD goals)

STRENGTHSJS

Pavol Regenda drives the Sharks offense

Pavol Regenda: 5G 1A, 1.10 xG/60, 2 high-danger goals.

WARNINGANA

Exploitable minutes: Mason McTavish

Mason McTavish is on ice for 2.95 xGA/60 and 36 high-danger shots against this season.

Hunt matchups against Mason McTavish's shifts with the top line.

Where the edges live
  • The Ducks own the underlying play — 50.4% 5v5 xG vs 46.5%.
  • The Ducks drive Corsi at 52.2% — expect territorial tilt.
Regression watch
  • The Ducks' PDO is 0.981 — running cold, due for positive regression.
Things to watch
  • The Ducks own the underlying play — 50.4% 5v5 xG vs 46.5%.
  • The Ducks drive Corsi at 52.2% — expect territorial tilt.
  • The Ducks' PDO is 0.981 — running cold, due for positive regression.
Computed danger · scouting

Players to watch

NHL stats API · our xG
ANA
Beckett Sennecke20G 19A
1.03 xG/60 · 8 HD · 13.5% sh
Cutter Gauthier25G 16A
0.99 xG/60 · 2 HD · 12.9% sh
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
Keep going

Where to next