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Ice Lab

Western Conference · Pacific Division

San Jose Sharks

2019–20·29–36–5·63 points·8th in the Pacific, 15th in the Western

Points
63#29
Goal differential
−45#29
xGF% (5v5, adj.)
47.9%#25
Power play
18.0%#18
Penalty kill
86.6%#1
GSAx
−2.8#18

Skaters

Everyone who played for the Sharks. Traded players show only their games for this team. Use Columns for advanced stats.

Timo MeierRW · #2870222749−2217:1719911.1%922.8−0.848.1%
Evander KaneLW · #964262147−1219:3221612.0%1827.9−1.947.9%
Brent BurnsD · #8870123345−2225:252255.3%1712.3−0.346.7%
Erik KarlssonD · #655663440−1524:311205.0%135.0+1.049.2%
Logan CoutureC · #3952162339018:3212612.7%1014.5+1.548.4%
Tomas HertlC · #4848162036−1818:2711713.7%716.8−0.853.1%
Kevin LabancRW · #6270141933−3316:041768.0%1116.9−2.951.6%
Joe ThorntonC · #197072431−1915:30769.2%87.00.048.2%
Barclay GoodrowC · #19 · traded6281624−816:23948.5%212.8−4.843.9%
Patrick MarleauC · #12 · traded58101020−515:361019.9%112.1−2.149.0%
Marcus SorensenLW · #206671118−1213:51789.0%010.3−3.343.9%
Marc-Edouard VlasicD · #447051015−1020:18746.8%03.6+1.446.6%
Brenden DillonD · #4 · traded5911314019:22482.1%02.5−1.547.5%
Melker KarlssonC · #68616612−712:165610.7%06.8−0.843.5%
Dylan GambrellC · #7505611−811:574311.6%15.8−0.843.6%
Mario FerraroD · #38612911−1515:53633.2%02.6−0.648.5%
Radim SimekD · #5148279−1317:11405.0%02.5−0.544.8%
Stefan NoesenRW · #11 · traded34628−111:505910.2%16.3−0.352.9%
Antti SuomelaC · #4020167+49:41185.6%01.5−0.549.6%
Joel KellmanC · #4631347−111:35319.7%02.6+0.449.2%
Tim HeedD · #7238145−1013:00442.3%11.5−0.553.3%
Noah GregorLW · #7328325−510:04339.1%23.2−0.243.7%
Alexander TrueC · #7012044+110:00120.0%01.0−1.052.2%
Jake MiddletonD · #6710022−210:4690.0%00.3−0.351.1%
Lean BergmannC · #4512011−68:16110.0%00.5−0.533.8%
Jonny BrodzinskiC · #22301107:2450.0%00.3−0.353.6%
Maxim LetunovC · #84310109:05333.3%00.5+0.574.8%
Lukas RadilC · #5214000−39:24120.0%00.7−0.738.6%
Danil YurtaykinLW · #754000−113:0020.0%00.4−0.431.5%
Dalton ProutD · #52000012:4920.0%00.00.013.9%

Goalies

Save percentage treats every shot alike; GSAx credits goalies for the difficulty of the shots they faced.

Martin Jones#31413917212.8963.002−5.6.807
Aaron Dell#30333012153.9073.010+2.8.713

Player cards

Pick a player to see where they rank among everyone at their position, and who they most resemble statistically.

Overall rating

Backup

18th percentile among qualified goalies, blending goaltending 75%, usage 25%.

  1. Starter
  2. Backup
  3. Third string / AHL

Goaltending

Backup
  • Save %.8968th pct
  • GSAx−5.620th pct
  • GSAx /60-0.1427th pct
  • High-danger SV%.80782nd pct
  • Medium-danger SV%.8498th pct
  • Low-danger SV%.95611th pct
  • Rebound control−1.3013th pct
  • GAA (lower is better)3.0027th pct

Usage

Starter
  • Games started3968th pct
  • Shots faced /6028.9610th pct
  • xG faced /602.8659th pct

Percentiles among goalies with 20+ games. Ratings rank each column's average percentile among the same players and read it as a role on a depth chart (how).

Who plays the tough minutes?

Coaches shelter some players with offensive-zone starts and weaker opponents, and trust others with the hardest assignments. Skaters with 100+ minutes at 5-on-5.

Deployment

Across: share of zone starts in the attacking end (sheltered usage to the right). Up: quality of the opponents faced. Bubble size is 5-on-5 ice time; colour is relative xGF%, blue when the team does better with the player on the ice.

30%40%50%60%70%22.523.023.524.024.525.025.526.026.5Offensive zone start % →↑ Quality of competitionTough minutes, defensive startsTough minutes, offensive startsSheltered, defensive startsSheltered, offensive startsGambrellThorntonSorensenGoodrowMeierCoutureHertlLabancKarlssonDillonFerraroVlasicHeedBurnsKarlssonKaneMarleauGregorSimekSuomelaNoesenKellman