Defence · #38

Derek Joslin

San Jose Sharks

Carolina Hurricanes

Vancouver Canucks(traded during the season)

Age: 39
Shoots: Left
Height: 185 cm
Weight: 95 kg
Born: Richmond Hill, CAN
Draft: 2005, round 5, #149 (SJS)

Career · 2009–10 to 2012–13

Games: 104
Goals: 4
Points: 16
TOI per game: 13:00
xGF% (5v5): 47.1%
Goals above expected: +0.2

ShowAll teams San Jose Sharks Carolina Hurricanes Vancouver Canucks

Season by season

The regular-season line for each season, with the total, by team for traded players.


2009–10	SJS	24	0	3	3	+1	13:53	19	0.0%	0	0.8	–
2010–11	SJS	17	1	3	4	−2	12:28	11	9.1%	0	0.5	48.7%
2010–11	CAR	17	1	4	5	+7	18:04	23	4.3%	1	0.6	51.3%
2010–11	All teams	34	2	7	9	+5	15:16	34	5.9%	1	1.1	50.1%
2011–12	CAR	44	2	2	4	−15	10:35	36	5.6%	1	1.8	44.0%
2012–13	VAN	2	0	0	0	−2	17:00	2	0.0%	0	0.0	50.2%
Total	3 teams	104	4	12	16	−11	13:00	91	4.4%	2	3.8	47.1%

Form

Rolling averages smooth out single games so the trend shows.

Form, ten-game rolling

Points and individual expected goals per game (left scale), averaged over the previous ten games. Ice time is on the second chart.

Points per gameixG per gameTOI per game (minutes)

Player card

Model-based

How 2009–10 to 2012–13 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

Extra / AHL

16th percentile among qualified defencemen, blending scoring 30%, play-driving 50%, usage 20%.

1st pair
2nd pair
3rd pair
Extra / AHL

Scoring

2nd pair

Goals /600.1857th pct
Assists /600.5340th pct
ixG /600.1746th pct
Shots /604.0462nd pct

Play-driving

Extra / AHL

xGF% (5v5)47.1%25th pct
CF% (5v5)46.9%19th pct
Relative xGF%−1.837th pct
xGA /60 (lower is better)2.6310th pct

Usage

Extra / AHL

TOI per game13:005th pct
PP time share13.1%46th pct
PK time share15.9%26th pct
Quality of competition23.4%9th pct

Percentiles among defencemen with 200+ minutes at 5-on-5 and 20+ games. Ratings rank each column's average percentile among the same players and read it as a role on a depth chart (how).

Most similar players this season

Finishing

Model-based

Did the goals match the chances?

Goals against expected goals

Cumulative goals (solid) and individual xG (dashed) through the season. The gap is finishing: above the dashed line, the player scored more than an average shooter would from the same chances.

+0.2 goals above expected

Goals above expected, everyone at the same position with 20+ games