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Compare players, 2018-19 season

At a glance

Malcolm Subban Ryan Miller

Save %Goals againstWorkloadGamesGoals savedThe typical playerMalcolm Subban: Save %, 0.902, 23rd percentileMalcolm Subban: Goals against, 2.86 a game, 16th percentileMalcolm Subban: Workload, 29.1 shots a game, 55th percentileMalcolm Subban: Games, 21 games, 9th percentileMalcolm Subban: Goals saved, -0.42 above expected per 60, 5th percentileRyan Miller: Save %, 0.912, 53rd percentileRyan Miller: Goals against, 2.55 a game, 61st percentileRyan Miller: Workload, 28.9 shots a game, 47th percentileRyan Miller: Games, 20 games, 6th percentileRyan Miller: Goals saved, +0.19 above expected per 60, 70th percentile

On the radar, each spoke runs from the lowest at the centre to the league leader at the rim, among the 64 goalies who played at least a quarter as many games as the busiest. The gap between two players on a spoke is the real gap between their numbers. The dashed shape is the typical player. Hover over a dot for the number.

The numbers

Malcolm Subban G, CBJ 2018-19 Ryan Miller G, ANA
21 Games played 20
8 Wins 8
10 Losses 7
1 Shutouts 1
612 Shots against 578
552 Saves 527
60 Goals against 51
0.902 Save % 0.912
2.93 Goals against average 2.76
Expected goals, while he was in net
51.4 Expected goals against 54.6
-8.6 Goals saved above expected +3.6
-0.42 Saved above expected per 60 +0.19
6.4% Chance per attempt faced 6.7%
Rating, in goals
-3.3 Goals above replacement +9.1
-0.6 Wins above replacement +1.5
Contract
$650K Cap hit $2M
-$34K Worth at the going rate $2.5M
-$684K Value: worth minus cap hit +$532K

The better value in each stat is highlighted. Stats where more is not clearly better, such as games played, are not judged. Bars show each value against the larger of the two. What the advanced numbers mean