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Game Recap
SJS1
Final/OTMon, Apr 14, 2025Every game that night
VAN2

VAN beat SJS 2-1 in overtime, and the chances backed it up: 5.00 expected goals to 1.87. VAN outshot SJS 37 to 16. P. Suter had 6 shots on goal against our projection of 2.3. N. Tolopilo stopped 15 of 16.

Scoring

1st2nd3rdOTT
SJS01001
VAN00112
  1. 2nd 4:20SJSM. CelebriniPP0.10 xG
  2. 3rd 9:03VANL. Karlsson0.16 xG
  3. OT 4:42VANJ. DeBrusk0.31 xG

Team Stats

SJSVAN
16Shots on goal37
1.87Expected goals5.00
37Shot attempts84
125v5 shots on goal17
1/3Power play0/5
18Hits17
16Blocked shots9
10Penalty minutes6
10Giveaways14
6Takeaways3

Expected goals: the chance each unblocked shot had of going in, by our model, added up.

Expected Goals Over the Game

SJS 1.87 xGVAN 5.00 xGGoal

0123451st2nd3rdOTSJS goal, 4:20VAN goal, 9:03VAN goal, 4:42

Each step up is a shot: how likely it was to go in. A team well above the other had the better chances, whatever the score.

Shot Map

SJS16 on goal, 1 scored
VAN36 on goal, 2 scored

GoalSavedMissedBlockedBigger: a better chance

Box Score

SJS Skaters

PlayerPosGAPSOGHITBLK+/-PIMTOIPP TOI
M. CelebriniC101300-1017:382:46
T. ToffoliC011200-1017:292:46
A. WennbergC000001-1024:131:56
W. EklundLW000201-1019:271:38
W. SmithC000001-1017:133:05
B. GoodrowC0001010016:430:19
N. KovalenkoRW000040-1014:053:03
N. GregorLW0001000013:430:11
C. GrundstromRW0002310012:300:16
D. GushchinLW0002100012:252:01
T. DellandreaC0000210210:380:00
C. LundC0000000010:061:34
L. CagnoniD0110010417:442:58
T. LiljegrenD0001440226:061:42
H. ThrunD0001120024:260:03
L. CarlssonD0001020019:250:08
J. SchuldtD000031-1015:550:22
M. VlasicD000000-1214:270:17
GoalieSASVGASV%TOI
A. Georgiev37352.94664:35OT loss
G. Romanov000–0:00

VAN Skaters

PlayerPosGAPSOGHITBLK+/-PIMTOIPP TOI
B. BoeserRW011400+1019:556:53
D. O'ConnorLW011410+1016:230:00
J. DeBruskLW101310+1016:225:44
T. BluegerC011310+1015:130:00
L. KarlssonC101310+1013:482:55
P. SuterC0006000022:106:32
C. GarlandRW0001100020:295:23
K. SherwoodLW0001300017:552:34
N. HoglanderLW0001000012:522:05
A. RätyC0002200011:591:40
D. JoshuaC0000210011:080:13
T. MuellerC000012009:390:00
Q. HughesD011501+1030:348:00
F. HronekD0002110025:565:06
M. PetterssonD000100+1018:230:49
V. ManciniD0000210617:322:06
E. PetterssonD0000100015:320:00
K. KudryavtsevD000103+1013:330:00
GoalieSASVGASV%TOI
N. Tolopilo16151.93864:24Win
K. Lankinen000–0:00

Storylines That Played Out

  • Old teamKiefer Sherwood SJS First game back in Vancouver, his team until Jan 20261 SOG
  • HometownLuca Cagnoni SJS Plays near home (born in Burnaby)1 A, 0 SOG
  • HometownMacklin Celebrini SJS Plays near home (born in North Vancouver)1 G, 3 SOG

As Tonight had them before puck drop, with what each player did.

How We Did

We projectedIt finished
ScoreSJS 2.6, VAN 4.0SJS 1, VAN 2
Total goals6.63
Shots on goalSJS 24.9, VAN 29.6SJS 16, VAN 37
Win chanceVAN 70%VAN won

Players

PlayerSOG projectedSOGPoints projectedPointsGoal chanceGoals
SJS M. Celebrini3.030.78124%1
SJS T. Toffoli2.920.68129%0
VAN Q. Hughes2.851.43119%0
VAN C. Garland2.410.82028%0
VAN J. DeBrusk2.430.76133%1
VAN B. Boeser2.440.98137%0
VAN P. Suter2.360.80031%0
VAN K. Sherwood2.010.67024%0
SJS W. Smith2.000.68022%0
SJS W. Eklund1.820.63018%0
VAN F. Hronek1.720.74011%0
VAN N. Hoglander1.710.58024%0
SJS C. Grundstrom1.520.21011%0
VAN D. O'Connor1.540.42118%0
SJS T. Liljegren1.510.3409%0
VAN A. Räty1.520.51023%0
VAN L. Karlsson1.430.32114%1
VAN T. Blueger1.330.41112%0
SJS L. Carlsson1.310.2809%0
SJS D. Gushchin1.320.27011%0
VAN D. Joshua1.200.46020%0
VAN M. Pettersson1.210.5106%0
SJS A. Wennberg1.200.46014%0
SJS C. Lund1.200.28012%0
SJS L. Cagnoni1.100.2115%0
SJS N. Gregor1.110.1608%0
VAN V. Mancini1.000.3407%0
SJS H. Thrun0.910.2205%0
VAN E. Pettersson0.900.1905%0
SJS N. Kovalenko0.900.37013%0
SJS T. Dellandrea0.800.1707%0
SJS B. Goodrow0.810.1809%0
SJS M. Vlasic0.800.1505%0
SJS J. Schuldt0.700.1104%0

Shots on goal: 21 of 34 players within one of their projection; they took 0.0 fewer than projected on average.

Our projections as they stood at puck drop. One game says little about a model; Model Notes has how it tests over thousands.