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Game Recap
SEA2
FinalSat, Dec 21, 2024Every game that night
VGK6

VGK beat SEA 6-2, and the chances backed it up: 3.63 expected goals to 2.50. VGK outshot SEA 34 to 23. M. Stone led the way with 3 points (1 G, 2 A). I. Samsonov stopped 21 of 23.

Scoring

1st2nd3rdT
SEA1012
VGK3036
  1. 1st 2:34SEAV. DunnPP0.06 xG
  2. 1st 12:39VGKK. Kolesar0.15 xG
  3. 1st 13:50VGKB. Howden0.15 xG
  4. 1st 17:48VGKN. Hague0.06 xG
  5. 3rd 8:09VGKW. Karlsson0.04 xG
  6. 3rd 11:28VGKN. Hanifin0.12 xG
  7. 3rd 13:58SEAJ. SchwartzPP0.26 xG
  8. 3rd 18:51VGKM. StoneEN0.50 xG

Team Stats

SEAVGK
23Shots on goal34
2.50Expected goals3.63
57Shot attempts63
165v5 shots on goal33
2/4Power play0/1
26Hits12
15Blocked shots14
2Penalty minutes8
14Giveaways10
2Takeaways2

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

Expected Goals Over the Game

SEA 2.50 xGVGK 3.63 xGGoal

00.511.522.533.541st2nd3rdSEA goal, 2:34VGK goal, 12:39VGK goal, 13:50VGK goal, 17:48VGK goal, 8:09VGK goal, 11:28SEA goal, 13:58VGK goal, 18:51

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

SEA23 on goal, 2 scored
VGK33 on goal, 6 scored

GoalSavedMissedBlockedBigger: a better chance

Box Score

SEA Skaters

PlayerPosGAPSOGHITBLK+/-PIMTOIPP TOI
C. StephensonC022100-2017:142:35
O. BjorkstrandRW011210-1017:532:30
J. SchwartzLW101210-2015:562:36
S. WrightC011210-1014:322:37
Y. GourdeC000201-1017:060:00
J. McCannLW000321-3016:371:13
M. BeniersC000122-2015:251:16
E. TolvanenRW000160-2015:010:00
D. SprongRW0000300014:160:00
B. TanevLW000111-1013:560:00
A. BurakovskyLW000300-2013:361:14
K. KakkoRW000030-2012:551:15
V. DunnD101102-3022:472:23
B. MontourD000110-4024:041:27
A. LarssonD000102-2019:170:00
R. EvansD000002-2219:090:04
J. OleksiakD000104-1015:280:00
J. MahuraD0001500015:030:00
GoalieSASVGASV%TOI
P. Grubauer33285.84857:45Loss
J. Daccord000–0:00

VGK Skaters

PlayerPosGAPSOGHITBLK+/-PIMTOIPP TOI
M. StoneRW123210+4019:320:48
J. EichelC022300+4019:420:48
B. HowdenC112122+4018:500:00
K. KolesarRW112251+2017:480:00
W. KarlssonC101400+1017:160:00
T. PearsonLW0110110011:520:00
V. OlofssonLW011100+1211:050:48
T. HertlC000410+1016:560:48
P. DorofeyevRW0001000011:300:00
T. LaczynskiC0000000010:490:00
C. SchwindtRW000201+1010:300:00
A. HoltzRW000200009:390:00
N. HanifinD101212+3022:530:00
B. McNabbD011314+2021:460:00
N. HagueD101300+2216:530:00
A. PietrangeloD000100+3223:020:00
S. TheodoreD000102+1217:440:48
Z. WhitecloudD000201+1017:110:00
GoalieSASVGASV%TOI
I. Samsonov23212.91360:00Win
A. Hill000–0:00

Storylines That Played Out

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

How We Did

We projectedIt finished
ScoreSEA 2.7, VGK 3.4SEA 2, VGK 6
Total goals6.18
Shots on goalSEA 26.6, VGK 30.4SEA 23, VGK 34
Win chanceVGK 61%VGK won

Players

PlayerSOG projectedSOGPoints projectedPointsGoal chanceGoals
VGK J. Eichel3.231.09232%0
SEA J. McCann2.630.76031%0
VGK P. Dorofeyev2.510.58027%0
SEA B. Montour2.410.53013%0
VGK W. Karlsson2.140.70124%1
SEA O. Bjorkstrand2.020.62122%0
SEA J. Schwartz2.020.51121%1
VGK S. Theodore1.910.67011%0
VGK A. Pietrangelo1.910.49010%0
VGK V. Olofsson1.910.56127%0
VGK M. Stone1.920.94327%1
SEA V. Dunn1.810.60111%1
SEA D. Sprong1.800.44019%0
VGK T. Hertl1.840.58022%0
VGK N. Hanifin1.720.48111%1
SEA A. Burakovsky1.730.49017%0
SEA M. Beniers1.610.51019%0
SEA E. Tolvanen1.510.41017%0
VGK B. Howden1.410.40219%1
SEA B. Tanev1.310.34015%0
SEA K. Kakko1.300.33014%0
SEA Y. Gourde1.320.41014%0
SEA A. Larsson1.310.2105%0
VGK B. McNabb1.230.2515%0
SEA C. Stephenson1.210.68219%0
VGK T. Pearson1.200.30112%0
VGK A. Holtz1.120.28013%0
VGK K. Kolesar1.120.31213%1
VGK N. Hague1.030.1514%1
SEA S. Wright1.020.45119%0
SEA R. Evans1.000.3205%0
SEA J. Oleksiak0.910.1804%0
VGK Z. Whitecloud0.820.1806%0
SEA J. Mahura0.810.1603%0
VGK C. Schwindt0.720.2106%0
VGK T. Laczynski0.600.1408%0

Shots on goal: 24 of 36 players within one of their projection; they took 0.0 more 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.