Goalie · #31

Martin Jones

Los Angeles Kings

San Jose Sharks

Philadelphia Flyers

Seattle Kraken

Toronto Maple Leafs(traded during the season)

Age: 36
Catches: Left
Height: 196 cm
Weight: 92 kg
Born: North Vancouver, CAN
Draft: Undrafted

Career · 2013–14 to 2023–24

Games: 466
Save %: .905
GAA: 2.72
GSAx: −26.1
Wins: 236
HD save %: .754

ShowAll teams Los Angeles Kings San Jose Sharks Philadelphia Flyers Seattle Kraken Toronto Maple Leafs

Saves by danger

Model-based

Average goalies stop nearly every low-danger shot; the great ones separate themselves on the hard chances.

Save percentage by danger tier

Bars start at .600 so the differences show.

Low danger

6514 of 6733 saved

.967

.968

Medium danger

3819 of 4436 saved

.861

.871

High danger

1115 of 1478 saved

.754

.750

Rebound control

−0.01

806 rebounds allowed; 804.4 expected for this shot mix

Goals saved above expected

−26.1

1172.9 xG faced

Where the goals went in

Model-based

Each red dot is a goal allowed. The shading shows where this goalie faced more (red) or fewer (blue) shots than an average goalie per 60 minutes.

Goal Saved MissedBigger marks were better chances (higher xG).

Fewer than league averageMore than league average(red is bad: more shots against)

Glove side, blocker side

Model-based

Where the shots on goal came from, relative to the goalie’s glove hand, and how the saves compare with the league.

Save percentage by angle and distance

From the shooter’s view, with the net at the top. Martin Jones catches with the left hand, so the glove is on the right here. Blue zones beat the league save percentage for the same zone; red fall short. Grey: fewer than 10 shots.

Blocker sideGlove side

Hover a zone for the numbers.

By side

Goals saved (+) or allowed (−) compared with a league-average save rate on the same shots.

Glove side.910
4534 shots · 406 goals · league .918−33.9 goals
Straight on.878
3291 shots · 402 goals · league .883−15.6 goals
Blocker side.919
4818 shots · 391 goals · league .921−10.6 goals

The NHL’s public data records where a shot was taken, not where it crossed the goal line, so a true glove-high, blocker-low map isn’t possible. The side the shot came from is the closest honest stand-in: a wide shot from the glove side mostly tests the glove.

By shot type

Model-based

Which shots beat this goalie, against what the shot quality predicted.


Wrist	7,169	599	.916	471.3	−127.7
Slap	1,933	150	.922	96.6	−53.4
Snap	1,454	147	.899	112.0	−35.0
Backhand	1,036	119	.885	93.5	−25.5
Tip-in	631	122	.807	67.1	−54.9
Deflected	277	45	.838	27.2	−17.8
Wrap-around	125	12	.904	7.4	−4.6
Poke	12	1	.917	1.6	+0.6
Bat	8	2	.750	1.3	−0.7
Other	2	2	.000	2.0	0.0