Bands show position percentiles; axis labels show current rolling values.
Dashed outline: peer average in the fixed reference. Outside = above average; inside = below average. All axes point outward for stronger results.
Player value: 3.26 Peer range: 2.11 – 3.69 xGF/60
MeanMattias Ekholm
Lower Higher (better)
Player 3.26 · mean 2.54. Higher raw values rank higher.
Rolling profile against a fixed reference group
Fixed rolling-profile reference · 239 players. Values use the same history and smoothing as the radar.
History, sample sizes & calculation
Higher radar percentiles mean stronger recorded results against the fixed reference, including older seasons. These are separate from this season’s league percentile. Each player has a different amount of covered history. Weighted minutes and attempts give recent games more influence. “Prior” is the share contributed by a frozen league baseline: it is higher when a player has less evidence, and differs by metric because each uses its own smoothing strength. It is not a confidence score.
On-ice offense · xGF/60
1517.0 weighted minutes · 21% prior
On-ice defense · xGA/60
1517.0 weighted minutes · 21% prior
Chance generation · ixG/60
1517.0 weighted minutes · 12% prior
Shot quality · ixG/attempt
201.9 weighted attempts · 20% prior
Finishing · goals above expected/60
201.9 weighted attempts · 17% prior
History through Oct 17, 2026. Recent games count more than older games. History carries across seasons and stays unchanged while inactive. On-ice results are shared; finishing describes results rather than established talent.
Recent scoring against his own season
Recent scoring against his own season
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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.
Most often with Roman Josi: 533 five-on-five minutes, 48.3% xG share together
Most often with Roman Josi: 533 five-on-five minutes, 48.3% xG share together
Five-on-five · time together from shift charts (1,417:48 of his 5v5 ice time) · xG share together and apart
Teammate
Pos
TOI together
xG share together
GF–GA
CF%
Him without
Teammate without
Roman Josi
D
532:51
48.3%
23–20
52.2%
52.7%
55.4%
P.K. Subban
D
518:12
53.2%
29–19
55.1%
49.7%
45.9%
Ryan Johansen
C
423:19
44.3%
13–15
52.8%
53.9%
50.3%
Viktor Arvidsson
L
414:41
44.3%
17–13
52.6%
53.9%
48.1%
Filip Forsberg
L
372:14
48.8%
13–13
54.6%
52.0%
52.5%
Kevin Fiala
L
364:49
56.5%
10–13
57.1%
48.9%
57.0%
Craig Smith
C
336:12
56.0%
16–14
58.9%
49.3%
58.3%
Colton Sissons
C
324:17
52.5%
20–8
55.5%
50.6%
48.4%
Nick Bonino
C
320:33
52.4%
16–8
51.2%
50.7%
46.5%
Calle Jarnkrok
C
311:52
53.2%
12–10
51.6%
50.5%
46.0%
Kyle Turris
C
302:49
56.9%
11–11
58.5%
49.3%
56.8%
Austin Watson
L
257:36
48.3%
17–7
50.8%
51.6%
45.5%
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%.
2017–18 playoffs
Official playoff totals · no peer ranks, since playoff samples are too small for a fair comparison
Games
13
23:24 per game
Goals
1
0 on the power play
Assists
7
official
Points
8
0 power-play points
Plus-minus
+4
even strength and shorthanded
Shots
20
5.0% shooting
Playoff games
Official totals; expected-goal columns are five-on-five.
Average 0.20 individual expected goals per 60 (105th of 235)
Average 0.20 individual expected goals per 60 (105th of 235)
52.4%61st of 235
Strong 52.4% on-ice expected goal share at five-on-five (61st of 235)
Strong 52.4% on-ice expected goal share at five-on-five (61st of 235)
Average 2.48 on-ice expected goals against per 60 (101st of 235)
Average 2.48 on-ice expected goals against per 60 (101st of 235)
Defensive metrics
Five-on-five on-ice suppression; individual events in all situations.
Suppression
Player
Percentile
Rank
52.94
29 / 23588th
—
—
—
0.062
180 / 23524th
Puck management
Player
Percentile
Rank
—
—
—
—
—
—
—
—
—
Physical style
Player
Percentile
Rank
—
—
—
—
—
—
Context · not graded
Player value: 52.94 Peer range: 47.22 – 72.02 / 60
MeanMattias Ekholm
Lower (better)Higher
Player 52.94 · mean 57.40. Lower raw values are better.
On-ice attempts against per 60, including blocks.
Discipline & puck management
Recorded season event counts · all situations
Penaltiesnet —
Taken —Drawn —
Puck eventsnet —
Giveaways —Takeaways —
Blocks
—
all situations
Hits
—
all situations
Strong 5.12 power-play points per 60 (21st of 71)
Strong 5.12 power-play points per 60 (21st of 71)
Power play
152:27 recorded ice time · peers need 100 minutes
Share of team PP
—
in games dressed
PP points
13
goals + assists
Unit xGF / 60
5.54
team without: —
Power play rates
Player
Percentile
Rank
5.12
21 / 7171st
—
—
—
7.87
59 / 7117th
0.53
62 / 7113th
5.54
62 / 7113th
—
—
—
Player value: 5.12 Peer range: 1.64 – 9.03 / 60
MeanMattias Ekholm
Lower Higher (better)
Player 5.12 · mean 4.49. Higher raw values rank higher.
Recorded goals plus assists per 60 in this scope; widened power-play and penalty-kill scopes.
Penalty kill
233:55 recorded ice time · peers need 100 minutes
Share of team PK
—
in games dressed
SH points
1
goals + assists
Unit xGA / 60
6.09
team without: —
Penalty kill rates
Player
Percentile
Rank
6.09
16 / 12087th
—
—
—
91.83
8 / 12094th
—
—
—
0.83
85 / 12029th
Player value: 6.09 Peer range: 5.00 – 8.75 / 60
MeanMattias Ekholm
Lower (better)Higher
Player 6.09 · mean 6.93. Lower raw values are better.
Raw on-ice expected goals against per 60; the Season metrics sample.
23:35 TOI per game (17:40 at five-on-five · 1:53 PP · 2:53 PK)
23:35 TOI per game (17:40 at five-on-five · 1:53 PP · 2:53 PK)
Results vs expected
Five-on-five · what happened beside the chances created and allowed
Chances
Player
Percentile
Rank
2.73
64 / 23573rd
2.48
101 / 23557th
52.4
61 / 23574th
Goals
Player
Percentile
Rank
—
—
—
—
—
—
—
—
—
Luck & variance
Player
Percentile
Rank
—
—
—
—
—
—
—
—
—
Context · not graded
Player value: 2.73 Peer range: 1.80 – 3.48 / 60
MeanMattias Ekholm
Lower Higher (better)
Player 2.73 · mean 2.52. Higher raw values rank higher.
Raw on-ice expected goals for per 60; the Season metrics sample.
5v5 goals
—
for–against
5v5 expected
65.1–59.2
xG for–against
EPV added
+7.62
81 attributed games · all situations
On ice vs off ice
Nashville's share with Mattias Ekholm 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 52.4% · Off ice unavailable
—
CF%
On ice 54.6% · 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 3 points in the last 10 games (0.30 per game vs 0.42 this season)
Cooling 3 points in the last 10 games (0.30 per game vs 0.42 this season)
0.35 points per game at home · 0.49 away
0.35 points per game at home · 0.49 away
81 games · most recent vs CBJ, W 4–2: 0 G, 0 A
81 games · most recent vs CBJ, W 4–2: 0 G, 0 A
Mattias Ekholm
194 attempts7.04 xG10 G
Goal10Shot on goal125Missed shot59Blocked shot0Larger dot = higher xG
Shooting by zone
Zone
Att
G
xG
Goal rate / exp.
G−xG
High slot
36
5
3.4
13.9% / 9.6%
+1.6
Point
126
4
2.6
3.2% / 2.0%
+1.4
Inner slot
5
1
0.4
20.0% / 8.0%
+0.6
Below goal line
2
0
0.0
0.0% / 1.8%
0.0
Right circle
9
0
0.2
0.0% / 1.7%
−0.2
Left circle
12
0
0.2
0.0% / 1.8%
−0.2
Outer slot
4
0
0.2
0.0% / 5.8%
−0.2
All zones
194
10
7.0
5.2% / 3.6%
+3.0
Sorted by goals minus expected goals. Goal rate is goals per unblocked attempt against the expected rate. Hover a row to light up those attempts on the rink.
Finishing evidence. Scoring 5.2% on chances vs 3.6% expected (+1.5 points), led by high slot volume and snap finishing.
Shot types194 attempts
Type
Share
Sh%
G−xG
Slap
49.5%
6.3%
+0.8
Wrist
33.0%
2.0%
−1.1
Snap
8.8%
36.4%
+2.8
Backhand
6.7%
0.0%
−0.4
Tip-in
1.0%
100.0%
+0.9
Deflected
0.5%
—
0.0
Other
0.5%
—
0.0
Share is context, not a grade. Sh% counts shots on goal only.
High-danger chancesmodel probability ≥ 0.20
Attempts0.5% of the selected attempts
1
Goals
1
Expected goals
0.2
Conversion
100.0%22.4% expected
Shot profilecontext · not graded
On-net rate135 of 194 attempts on goal
69.6%
Slot share41 of 194 from the inner or high slot
21.1%
Average distancefrom the centre of the net
47.7 ft
Rebound attempts / 603 this season · all situations
0.09
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
Rank (D)
Five-on-five
17:40
—
4
14
18
0.75
116 / 235
Power play
1:53
—
5
8
13
5.12
21 / 71
Penalty kill
2:53
—
1
0
1
0.26
48 / 120
Other
1:08
—
0
2
2
1.30
159 / 235
All situations
23:35
—
10
24
34
1.07
82 / 235
Where the 34 points come from · All situations
Goals10 · 0.31/60
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
12 NHL seasons: 829 games, 377 points
12 NHL seasons: 829 games, 377 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: 0.75 Peer range: 0.09 – 1.50 / 60
MeanMattias Ekholm
Lower Higher (better)
Player 0.75 · mean 0.76. 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
Metric2017–18ReferenceDiff
0.120.04+0.09
0.300.24+0.05
0.420.28+0.14
1.671.46+0.20
Reference: 2016–17 · 82 games.
Each game against his own season
Points in each game, coloured by how good the game wasTrailing 10 games, per gameSeason 0.42
