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Ice Lab

Sat, Mar 21, 2015·Centre Bell, Montreal

San Jose Sharks 0, Montréal Canadiens 2

Expected result

Based on shot quality alone, San Jose Sharks win this game 51% of the time.

MTL winsSJS wins

By period

Goals and shots on goal in each period.

TeamP1P2P3Total
SJS08010011029
MTL11301214229

Goals, with shots on goal in grey.

Scoring

Every goal, with the change it made to the home team's win probability.

  1. P1 18:46MTLTomas PlekanecGWGAssists: Alex Galchenyuk, PA Parenteau · Wrist, 0.06 xG0–1
  2. P3 19:46MTLBrendan GallagherENAssists: Max Pacioretty, Tomas Plekanec · Wrist, 0.61 xG0–2
Penalties (4)
  1. P1 6:08SJSJustin Braun: Holding2 min
  2. P1 6:08MTLBrendan Gallagher: Embellishment2 min
  3. P2 3:39MTLTomas Plekanec: Slashing2 min
  4. P3 11:53MTLDevante Smith-Pelly: Slashing2 min

Replay

Watch the game unfold on the ice: every shot, hit, turnover and faceoff appears as it happened, then fades. Drag the timeline to jump; goals are marked on it.

SJS00 SOG · 0.0 xG

20:00

P1

0.0 xG · 0 SOG0MTL
46% to win54% to win
← SJS attackMTL attack →
  1. P1 20:00Thornton won the faceoff against Plekanec
  • Goal
  • Shot
  • Miss
  • Block
  • Hit
  • Takeaway
  • Giveaway
  • Faceoff
  • Penalty

The numbers

Team totals, side by side.

SJSMTL
29Shots on goal29
2.5Expected goals2.4
72Shot attempts60
29Faceoffs won28
2Power plays0
2Penalty minutes6
19Hits32
19Blocked shots22
12Giveaways18
3Takeaways4

Line combinations that worked

Model-based

Each team's forward lines and defence pairs at 5-on-5 (two minutes or more together), best first by expected goals for minus against.

San Jose Sharks

Forward lines

  1. bestThornton – Pavelski – Karlsson14:13

    xG 0.58–0.14 (80%)attempts 20–7goals 0–0

  2. Couture – Wingels – Nieto9:46

    xG 0.47–0.29 (62%)attempts 14–11goals 0–0

  3. Smith – Tarasov – Goodrow2:38

    xG 0.00–0.00attempts 1–0goals 0–0

  4. Marleau – Hertl – Tierney11:01

    xG 0.16–0.43 (27%)attempts 10–14goals 0–0

Defence pairs

  1. bestBurns – Irwin15:01

    xG 0.90–0.29 (75%)attempts 28–13goals 0–0

  2. Dillon – Mueller15:48

    xG 0.13–0.21 (38%)attempts 8–10goals 0–0

  3. Vlasic – Braun16:23

    xG 0.38–1.03 (27%)attempts 19–26goals 0–1

Montréal Canadiens

Forward lines

  1. bestMalhotra – Prust – Weise3:32

    xG 0.44–0.12 (79%)attempts 5–3goals 0–0

  2. Plekanec – Gallagher – Galchenyuk7:55

    xG 0.35–0.22 (61%)attempts 11–9goals 0–0

  3. Eller – Weise – de la Rose2:13

    xG 0.06–0.06 (50%)attempts 1–5goals 0–0

  4. Eller – Smith-Pelly – de la Rose7:04

    xG 0.07–0.08 (48%)attempts 4–4goals 0–0

Defence pairs

  1. bestGilbert – Pateryn7:58

    xG 0.79–0.02 (97%)attempts 15–2goals 0–0

  2. Emelin – Subban2:22

    xG 0.05–0.00 (100%)attempts 3–0goals 0–0

  3. Markov – Petry2:07

    xG 0.06–0.03 (63%)attempts 2–1goals 1–0

How the game flowed

Model-based

Chance quality for each side, minute by minute, with pressure underneath.

Expected goals flow

Running total of expected goals for each team. Steep climbs are spells of pressure; dots are goals. Shaded bands mark power plays (team colour), 4-on-4 or 3-on-3 (grey) and empty nets.

MTL 2.4 xGSJS 2.5 xG
00.511.522.5P1P2P3EndxG

Tempo: attempts, hits and takeaways per minute

MTLSJS

Win probability

Model-based

How each goal and each minute changed the likely winner.

Win probability

MTL's chance of winning through the game. Above the middle line MTL is favoured, below it SJS. Dots are goals.

Excitement 0/100 · #1222 of 1230 this seasonSwing 0.57 · 2 goals in reachComeback index 53% (winner's lowest chance)
SJS 100%5050%50MTL 100%P1P2P3EndBiggest swing +20 pts

Did the better team win?

Every shot replayed 10,000 times, scoring with its expected-goal probability.

Based on shot quality alone, San Jose Sharks win this game 51% of the time.

MTL winsSJS wins

Simulated goal difference (MTL − SJS), 10,000 replays

-7
-6
-5
-4
-3
-2
-1
0
+1
+2
+3
+4
+5
+6
+7

The outlined bar is the actual result (excluding the shootout).