Motion-blurred skater in a Ottawa Senators sweater
Breakdown · SJS at OTT

Senators run the Sharks off the ice on the underlying numbers

The verdict · earned

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

SJS 4 · OTT 7
◆ By the ModelJul 12, 7:25 AMxG: 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

The Senators won 7–4 with the underlying numbers confirming their dominance: they controlled 68% of 5v5 expected goals (5.23–2.46). The striking metric, though, was chance conversion. Ottawa overperformed their xG by 1.77 goals; San Jose overperformed theirs by 1.54. Both teams finished above their expected tallies.

The structure of that dominance mattered more than volume. Ottawa held 52% of shot attempts (25–23 on goal), a modest edge, but their chances were dangerous: 8 high-danger opportunities to San Jose's 2. That quality gap—0.078 xG per shot versus 0.055—meant Ottawa didn't need a heavy volume advantage to control the game.

Ottawa's power play weaponized that edge. Two goals on eight shots (0.35 xG) gave the Senators a special-teams cushion that San Jose couldn't close. On the rush, Ottawa was lethal: six goals on 33 rush chances. San Jose generated three on 20 attempts, suggesting they had the structural opportunities but not the finish.

Goaltending amplified the gap. L. Ullmark (OTT) made 19 saves on 23 shots (0.826 SV%), steadying Ottawa through a workload their defense couldn't fully contain. L. Brossoit (SJS) stopped 18 of 23 (0.783 SV%), a workmanlike performance betrayed by the shot volume and danger his team faced. The margin wasn't enormous, but in a game where both teams exceeded their expected-goal totals, marginal advantages in save percentage converted to goals.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Mar 15
SJS
4
OTT
7

Senators run the Sharks off the ice on the underlying numbers

Chances 2.5 – 5.2Did they deserve it? →
Did they deserve it?

The Senators earned this one.

Expected goals · chance value
SJS
2.46
OTT
5.23
32% of the chances68%

The board read SJS 4, OTT 7. The chances read SJS 2.5, OTT 5.2.

Our xG model · NHL play-by-play · all situations
Luck check
OTT
+1.8
goals above expected
OTT5.23 expected · 7 scored
Expected
Scored
SJS2.46 expected · 4 scored
Expected
Scored

The Senators scored 1.8 more than their chances were worth. That does not repeat.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P1 04:05SJSM. Ferraro1–0
  2. P1 07:33OTTD. BathersonPP1–1
  3. P1 14:43SJST. Toffoli2–1
  4. P2 04:31OTTW. Foegele2–2
  5. P2 10:46SJSC. Graf3–2
  6. P2 13:40OTTF. ZetterlundPP3–3
  7. P2 14:45OTTT. Kleven3–4
+4 more on the full breakdown
NHL play-by-play · chance value from our xG model
Where the shots came from
SJS
31 shots
4
Final
79 shots
OTT
48 shots
7
SJS attackOTT attack
SJS OTT Goal
31
shots · 4 in
48
shots · 7 in
Every unblocked shot · press play to replay it
Chances by danger
SJSOTT
1 / 2
0.55 xG
High danger
2 / 8
2.63 xG
2 / 13
1.49 xG
Medium
4 / 21
2.19 xG
1 / 30
0.42 xG
Low
1 / 38
0.41 xG

The Senators buried 2 of 8 high-danger looks.

Danger tiers by our xG model · high ≥ 20% chance
In the net
C
L. Brossoit
+0.2
SJS · 18/23
F
L. Ullmark
−1.5
OTT · 19/23
The numbers, checked
BACKCHECK

Senators 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 13–6
  1. 04:05SJSM. Ferraro(S. Mukhamadullin)1–0
  2. 07:33OTTD. Bathersonpower play1–1
  3. 14:43SJST. Toffoli(M. Ferraro, S. Mukhamadullin)2–1
2ndshots 6–12
  1. 04:31OTTW. Foegele(M. Amadio)2–2
  2. 10:46SJSC. Graf(M. Celebrini, S. Dickinson)3–2
  3. 13:40OTTF. Zetterlundpower play(J. Spence)3–3
  4. 14:45OTTT. Kleven(F. Zetterlund, W. Foegele)3–4
3rdshots 4–7
  1. 03:28SJSM. Misa(T. Toffoli, V. Desharnais)4–4
  2. 13:08OTTD. Batherson(A. Zub, C. Giroux)4–5
  3. 14:50OTTD. Cozens(B. Tkachuk)4–6
  4. 17:43OTTB. Tkachukempty net(M. Amadio, A. Zub)4–7

score reads SJS–OTT

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

The numbers

XGBoost xG · NHL play-by-play
5.23
OTT chances
Goals their shots were worth
+1.8
Finishing
Goals above what those chances were worth
1.016
OTT puck luck
About 1.000 — a normal night for bounces
59.8%
Shot attempts
Over half — they had the puck more
Split by club

Who controlled the game

2.46Expected goals5.23
OTT 68% of the chance quality
23Shots on goal25
2High-danger chances8
45All attempts (Corsi)67
Adjusted for score: SJS 41% · OTT 60%
Faceoffs · OTT won72%off53%neu53%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SJS1 / 2 · 0.55 xG
OTT2 / 8 · 2.63 xG
Medium dangermid-range
SJS2 / 13 · 1.49 xG
OTT4 / 21 · 2.19 xG
Low dangerperimeter & point
SJS1 / 30 · 0.42 xG
OTT1 / 38 · 0.41 xG

OTT went 4-for-21 from medium danger on 2.19 expected goals — 1.8 above expected.

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

Finishing vs expected

expectedactual
SJS
4 G · 2.46 xG · +1.5
OTT
7 G · 5.23 xG · +1.8
012345678

SJS finished +1.5 against expected, OTT +1.8.

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

Shot diet

goalsshots
SJS
WRIST1/17
TIP IN1/3
SNAP1/5
SLAP1/1
BACKHAND0/2
DEFLECTED0/2
BAT0/1
OTHER0/14
OTT
WRIST4/26
TIP IN0/7
SNAP0/4
SLAP1/6
BACKHAND0/2
DEFLECTED1/2
BAT0/0
OTHER1/20
SJS
OTT
Off the rush
3 G on 20
1.52 xG
6 G on 33
4.31 xG
Off rebounds
1 G on 6
0.70 xG
0 G on 3
0.57 xG

Wrist shots carried the volume: SJS went 1-for-17, OTT 4-for-26. OTT scored 6 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
L. Brossoit
SJS · 18/23 · .783
+0.2
saved above expected
C
the night
By dangerG/attxGsaved
High danger2/82.6+0.6
Medium4/212.2-1.8
Low1/380.4-0.6

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

L. Ullmark
OTT · 19/23 · .826
-1.5
saved above expected
F
the night
By dangerG/attxGsaved
High danger1/20.6-0.5
Medium2/131.5-0.5
Low1/300.4-0.6

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

79 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
SJS
31 shots
4
Final
79 shots
OTT
48 shots
7
SJS attackOTT attack
SJS OTT Goal

Each club shoots toward its own end — SJS left, OTT 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. Ferraro
#38 · D · SJS
1 G · 1 A · 2 SOG · 20:33 on ice
A. Zub
#2 · D · OTT
0 G · 2 A · 1 SOG · 19:54 on ice · +1
M. Amadio
#22 · R · OTT
0 G · 2 A · 0 SOG · 17:54 on ice · +1
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Sun, Mar 15
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelJul 12, 7:22 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 tight 2.2-2.7 game favoring Ottawa, which earns a 59% win probability. That lean rests entirely on underlying dominance.

Ottawa controls the puck at 56.0% expected goals share versus San Jose's 48.0%. The gap extends to shot volume—53.0% Corsi for the Senators means the game tilts toward the Sharks' end. San Jose will defend most of the night.

Both teams own nearly identical PDO (Ottawa 0.993, San Jose 0.998), so neither has stolen wins through outscoring or underscoring its chances. Goaltending becomes the wildcard. L. Ullmark skates on a back-to-back for San Jose, as does A. Nedeljkovic for Ottawa. Either or both could see a backup, or a starter running on empty.

The sharpness lives in skill. For San Jose, Pavol Regenda generates 1.10 expected goals per 60 minutes with 5 goals and 1 assist, converting at 16.1% with 2 high-danger chances. Igor Chernyshov sits at 0.91 xG/60 with 6 goals, 8 assists, and 1 high-danger chance, converting at 15.0%. Ottawa's Brady Tkachuk surpasses both—1.19 xG/60 with 11 goals and 20 assists at 7.5% shooting and 2 high-danger chances. Dylan Cozens trails slightly at 1.00 xG/60 with 13 goals and 15 assists at 9.5% shooting and 1 high-danger chance.

San Jose's task: neutralize Tkachuk's offensive load and keep Cozens off the scoreboard. For Ottawa, stopping Regenda's dangerous looks and Chernyshov's production matters. The asymmetry in defensive burden reflects the model's read—Ottawa creates more, San Jose defends more.

The verdict is clear: the Senators. Their territorial and efficiency edge justifies the lean.

What the model said beforehand

The model's lean

OTT 59%
59%
OTT
Model favorite
41%
59%
SJS50OTT

OTT by 18 points of win probability — a clear lean. Projected score SJS 2.2–2.7 OTT; 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
SJS← edge
edge →OTT
48.0%56.0%
47.0%53.0%
2.332.66
2.562.12
1.992.18
2.321.99
0.9980.993

OTT holds 6 of 6 process categories — and the luck row (0.998 vs 0.993) says SJS has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · Last 10
SJS
5-3-2
-2 GD · 1d rest
OTT
6-2-2
+10 GD · 1d rest
0.998
SJS PDO
Luck gauge · drifts to 1.000
0.993
OTT PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

Where the edges live
  • The Senators own the underlying play — 56.0% 5v5 xG vs 48.0%.
  • The Senators drive Corsi at 53.0% — expect territorial tilt.
Things to watch
  • The Senators own the underlying play — 56.0% 5v5 xG vs 48.0%.
  • The Senators drive Corsi at 53.0% — expect territorial tilt.
  • L. Ullmark is on a back-to-back — watch for a backup start or a tired starter.
  • A. Nedeljkovic is on a back-to-back — watch for a backup start or a tired starter.
Last game's lineup · confirmed at warm-up

Lineups

NHL box score
SJS
Expected in goal
A. Nedeljkovic
back-to-back.926 last start
Backup Yaroslav Askarov · -18.9 GSAx this season
Back-to-back: the backup often gets this one. Treat the starter as unconfirmed.

No completed game on file for this club yet.

OTT
Expected in goal
L. Ullmark
back-to-back1.000 last start
Backup Linus Ullmark · -12.8 GSAx this season
Back-to-back: the backup often gets this one. Treat the starter as unconfirmed.

No completed game on file for this club yet.

Lineups are the players who dressed in each club's last game, with their minutes; clubs confirm tonight's at warm-up. Every player this preview names was in that lineup.

Computed danger · scouting

Players to watch

NHL stats API · our xG
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
OTT
Brady Tkachuk11G 20A
1.19 xG/60 · 2 HD · 7.5% sh
Dylan Cozens13G 15A
1.00 xG/60 · 1 HD · 9.5% sh
Keep going

Where to next