Jeff Skinner — 2018–19 stats and season rank | IceSheet
Jeff Skinner
San Jose Sharks·#53·Left wing · Shoots left
Age 34 · 5′11″ · 200 lb · Toronto, ON, CAN
Loading season standing…
Games82…
Goals400.49/GP▲0.20…
Assists230.28/GP▼0.02…
Points630.77/GP▲0.17…
5v5 xG share…
Avg TOI18:31…
Career awards
×1
/
Loading season standing and profile…
Season comparisons
Loading peer comparisons and model evidence…
Optional recent-history profile
Rolling Radar
Loading recent-history profile…
Loading model evidence…
Loading defensive evidence…
Shot locations
Loading canonical shot events…
Usage by situation
Loading usage…
Loading special teams…
Recent scoring against his own season
Recent scoring against his own season
Loading recent games…
Loading splits…
Loading linemates…
Loading playoff games…
Loading game log…
Loading career ledger…
1 award records
Calder Memorial Trophy · 2010–11
Every metric name opens its definition; the full list lives in Metrics.
Traditional statistics cover all situations. Supporting five-on-five analyses use completed games, raw adjustment and exposure from xG model v4. The two samples can differ.
An em dash means unavailable, not zero. A partial season remains partial. Where a panel reports evidence coverage, its rates use only the covered games. History never substitutes a different model, and a missing appearance interrupts a rolling model window.
Shot maps use the same shot model as Game Center and show which model version scored recent shots beside the rink. Older seasons can use earlier model versions. High danger means a model scoring probability of at least 0.20 on an unblocked attempt; for goalies, medium danger is 0.08 to 0.20 and low is below 0.08.
Special-team buckets include the wider recorded man-advantage and man-down states, read from the player’s own team; for a goalie, penalty kill means facing a power play. Their ranks need 100 recorded minutes and at least 30 qualified peers; below 100 minutes, penalty-kill percentiles are provisional. Playoff values have no ranks or percentiles. Team share is player ice time divided by team ice time in that situation, over the games the player dressed. Zone starts describe faceoff-started five-on-five shifts and exclude on-the-fly starts.
Penalties count events, including one for a double minor; bench and served-by roles are excluded, and victimless infractions have no drawn role. EPV added sums changes in the probability that the possessing team scores next; it is not standings points or an isolated player grade. Rolling windows never cross seasons or season types, and a missed game is not a zero-performance appearance. Career rates use summed counts and exposure, never an average of season rates; a missing contributing season withholds its career metric, and Performance begins in 2023–24.
No checked season results are available for this selection.
No checked season results are available for this selection.
No complete checked component breakdown is available for this selection.
Rolling Radar
Recent NHL history, carried across seasons. The radar compares this broader profile with a fixed position-group reference.
Rolling profile is currently unavailable.
T-4th in NHL
T-12th in NHL
T-184th in NHL
66th in NHL
T-204th in NHL
Most often with Jack Eichel: 843 five-on-five minutes, 52.0% xG share together
Most often with Jack Eichel: 843 five-on-five minutes, 52.0% xG share together
Five-on-five · time together from shift charts (1,203:09 of his 5v5 ice time) · xG share together and apart
Teammate
Pos
TOI together
xG share together
GF–GA
CF%
Him without
Teammate without
Jack Eichel
C
843:18
52.0%
35–39
52.4%
49.5%
50.2%
Sam Reinhart
C
648:09
49.9%
24–29
52.5%
53.4%
51.3%
Rasmus Ristolainen
D
462:34
51.7%
20–22
49.6%
51.2%
46.8%
Rasmus Dahlin
D
426:20
54.5%
18–17
57.8%
49.7%
45.4%
Zach Bogosian
D
355:47
50.0%
11–9
52.2%
51.9%
44.1%
Jason Pominville
R
331:05
54.4%
13–16
55.3%
50.4%
48.8%
Jake McCabe
D
276:39
52.5%
11–13
52.3%
51.0%
47.3%
Marco Scandella
D
274:52
49.6%
8–13
51.2%
51.9%
41.9%
Lawrence Pilut
D
157:34
58.2%
5–7
53.2%
50.6%
55.8%
Evan Rodrigues
C
152:37
55.2%
6–5
56.1%
50.9%
47.0%
Casey Nelson
D
142:02
51.0%
4–11
57.9%
51.4%
48.6%
Kyle Okposo
R
136:40
54.2%
6–4
52.3%
51.1%
43.7%
Without columns are five-on-five xG share apart: him on the ice without that teammate, and the teammate without him (with this club). Bars are centred on an even 50%.
Elite 1.04 individual expected goals per 60 (5th of 124)
Elite 1.04 individual expected goals per 60 (5th of 124)
51.1%50th of 124
Average 51.1% on-ice expected goal share at five-on-five (50th of 124)
Average 51.1% on-ice expected goal share at five-on-five (50th of 124)
Weak 2.83 on-ice expected goals against per 60 (107th of 124)
Weak 2.83 on-ice expected goals against per 60 (107th of 124)
Defensive metrics
Five-on-five on-ice suppression; individual events in all situations.
Suppression
Player
Percentile
Rank
56.51
69 / 12445th
—
—
—
0.064
107 / 12414th
Puck management
Player
Percentile
Rank
—
—
—
—
—
—
—
—
—
Physical style
Player
Percentile
Rank
—
—
—
—
—
—
Context · not graded
Player value: 56.51 Peer range: 45.88 – 76.38 / 60
MeanJeff Skinner
Lower (better)Higher
Player 56.51 · mean 56.18. Lower raw values are better.
On-ice attempts against per 60, including blocks.
Evidence coverage: high danger 34 of 82 games.
Discipline & puck management
Recorded season event counts · all situations
Penaltiesnet —
Taken —Drawn —
Puck eventsnet —
Giveaways —Takeaways —
Blocks
—
all situations
Hits
—
all situations
Both penalty counts cover 34 of 82 games with every drawn role recorded.
Average 3.81 power-play points per 60 (25th of 55)
Average 3.81 power-play points per 60 (25th of 55)
Power play
252:17 recorded ice time · peers need 100 minutes
Share of team PP
—
in games dressed
PP points
16
goals + assists
Unit xGF / 60
7.31
team without: —
Power play rates
Player
Percentile
Rank
3.81
25 / 5556th
—
—
—
14.27
10 / 5583rd
2.08
12 / 5580th
7.31
13 / 5578th
—
—
—
Player value: 3.81 Peer range: 1.34 – 8.21 / 60
MeanJeff Skinner
Lower Higher (better)
Player 3.81 · mean 3.86. Higher raw values rank higher.
Recorded goals plus assists per 60 in this scope; widened power-play and penalty-kill scopes.
Evidence coverage: goals 14 of 79 games · team time 34 of 82 games.
Penalty kill
2:27 recorded ice time · peers need 100 minutes
Share of team PK
—
in games dressed
SH points
0
goals + assists
Unit xGA / 60
7.31
team without: —
Penalty kill rates
Player
Percentile
Rank
7.31
—
—
—
—
73.47
—
—
—
—
0.00
—
No rank yet
Player value: 7.31 Peer range: 4.91 – 8.03 / 60
MeanJeff Skinner
Lower (better)Higher
Player 7.31 · mean 6.35. Lower raw values are better. Fewer than 30 qualified peers.
Raw on-ice expected goals against per 60; the Season metrics sample.
Fewer than 30 qualified peers.
Evidence coverage: goals 1 of 12 games · high danger 1 of 12 games · team time 34 of 82 games.
18:31 TOI per game (14:46 at five-on-five · 3:05 PP · 0:02 PK)
18:31 TOI per game (14:46 at five-on-five · 3:05 PP · 0:02 PK)
Results vs expected
Five-on-five · what happened beside the chances created and allowed
Chances
Player
Percentile
Rank
2.96
13 / 12490th
2.83
107 / 12414th
51.1
50 / 12460th
Goals
Player
Percentile
Rank
—
—
—
—
—
—
—
—
—
Luck & variance
Player
Percentile
Rank
—
—
—
—
—
—
—
—
—
Context · not graded
Player value: 2.96 Peer range: 1.55 – 3.48 / 60
MeanJeff Skinner
Lower Higher (better)
Player 2.96 · mean 2.49. Higher raw values rank higher.
Raw on-ice expected goals for per 60; the Season metrics sample.
5v5 goals
—
34 of 82 games
5v5 expected
59.8–57.1
xG for–against
EPV added
+5.66
81 attributed games · all situations
On ice vs off ice
Buffalo's share with Jeff Skinner on the ice against the same team without him.
Share
On ice and off ice
On-minus-off gap in percentage points
xGF%
On ice 51.1% · Off ice unavailable
—
CF%
On ice 52.3% · Off ice unavailable
—
GF%
On ice unavailable · Off ice unavailable
—
On iceOff ice
Scale 40–65% · marker at 50% · right column is the on-minus-off gap in points
Cooling 4 points in the last 10 games (0.40 per game vs 0.77 this season)
Cooling 4 points in the last 10 games (0.40 per game vs 0.77 this season)
0.88 points per game at home · 0.66 away
0.88 points per game at home · 0.66 away
82 games · most recent at DET, W 7–1: 2 G, 0 A
82 games · most recent at DET, W 7–1: 2 G, 0 A
Shot map
All 355 attempts
Jeff Skinner
355 attempts31.70 xG40 G
Goal40Shot on goal228Missed shot87Blocked shot0Larger dot = higher xG
Shooting by zone
Hover a row to light it up · click to pin
Zone
Att
G
xG
Goal rate
Exp.
Goals vs expected
G−xG
Inner slot
94
21
13.2
22.3%
14.0%
+7.8
High slot
130
16
13.1
12.3%
10.1%
+2.9
Left circle
31
1
0.9
3.2%
2.9%
+0.1
Right circle
14
0
0.4
0.0%
3.1%
−0.4
Point
43
1
1.6
2.3%
3.7%
−0.6
Outer slot
43
1
2.5
2.3%
5.7%
−1.5
All zones
355
40
31.7
11.3%
8.9%
+8.3
Finishing evidence. Scoring 11.3% on chances vs 8.9% expected (+2.3 points), led by inner slot volume and wrist finishing.
Sorted by goals minus expected goals. Goal rate is goals per unblocked attempt against the expected rate.
Shot profile
Context · not graded
On-net rate
75.5%
268 of 355 attempts on goal
Slot share
63.1%
224 from the inner or high slot
Average distance
25.8 ft
from the centre of the net
Rebound attempts / 60
1.15
29 this season · all situations
Shot types
355 attempts
Type
Share
Sh%
G−xG
Wrist
57.5%
15.1%
+5.4
Backhand
14.9%
18.2%
+3.0
Snap
9.9%
16.0%
+0.6
Slap
8.2%
5.3%
−0.8
Tip-in
5.9%
0.0%
−1.7
Deflected
2.5%
25.0%
+1.1
Other
1.1%
—
+0.6
Share is context, not a grade. Sh% counts shots on goal only.
High-danger chances
Model goal probability ≥ 0.20
Conversion32.0%+2.4 pts vs expected
Actual32.0%
Expected29.6%
Attempts
25
7.0% of these attempts
Goals
8
20% of all goals
Expected goals
7.4
0.30 xG per attempt
G−xG
+0.6
above model
Usage by situation
Ice time, share of team ice time, scoring and scoring rate, with where shifts start.
Scope
TOI/GP
Team share
G
A
P
P/60
Five-on-five
14:46
—
27
15
42
2.08
Power play
3:05
—
8
8
16
3.81
Penalty kill
0:02
—
0
0
0
0.00
Other
0:39
—
5
0
5
5.62
All situations
18:31
—
40
23
63
2.49
Where the 63 points come from · All situations
Goals40 · 1.58/60
Primary assists— · —/60
Secondary assists— · —/60
Zone starts — offensive of OZ + DZ
Offensive —Neutral —Defensive —
Shifts
— a game · — average
Zone starts: five-on-five · Shifts: all situations
Faceoffs
All situations · zones are read from his side of the draw · values only; no peer ranks yet
Win %
52.2%
157 of 301 draws
Draws per game
3.67
82 games
Offensive zone
52.5%
276 draws
Defensive zone
44.4%
9 draws
Power play
62.0%
100 draws
11 NHL seasons: 774 games, 496 points
11 NHL seasons: 774 games, 496 points
Totals cover all situations; rates are five-on-five.
Elite90+Strong70–89Average30–69Weak10–29Poor<10Bar length is the peer percentile, so longer is always better · tick at the 50th
Player value: 2.08 Peer range: 0.33 – 2.84 / 60
MeanJeff Skinner
Lower Higher (better)
Player 2.08 · mean 1.59. Higher raw values rank higher.
Recorded five-on-five goals plus assists per 60 minutes.
How to read these comparisons
Player values are recorded season results. Peer averages are arithmetic means of qualified players in the selected group; each row uses the same peers for its average and rank. Ranks use unrounded values, with tied players sharing a rank and the next rank skipped. Lower xG against ranks better. Bar colours are the five performance tiers; context rows are blue and not graded. Differences from the average describe the season, not isolated player impact.
Goals above expected is the raw goals-minus-xG rate, without the shrinkage used in the older finishing comparison. On-ice measures include teammates, opponents and deployment. These recorded metrics describe different quantities from the adjusted Season score components beside them.
Skaters need 20 appearances and 300 five-on-five minutes; quality and finishing also need 75 unblocked attempts. Early in a season these minimums scale down with games played so far. At least 30 peers must qualify. Playoff ranks are withheld. A reviewed axis whose own evidence fails is withheld and shown with its reason rather than ranked. These workload rules do not express statistical confidence.
Position uses the NHL listed primary position available now; it does not establish historical position or actual deployment. Broad groups are forwards, defence and goalies. This version uses the current model’s covered games only.
Season vs reference
Per game · all situations
Metric2018–19ReferenceDiff
0.490.29+0.20
0.280.30-0.02
0.770.60+0.17
3.273.38-0.11
Reference: 2017–18 · 82 games.
Each game against his own season
Points in each game, coloured by how good the game wasTrailing 10 games, per gameSeason 0.77
