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ANA

Anaheim Ducks

Rated #21 of 32 by xG-Elo in 2026-27

2026-27 regular season

Record
5 wins, 7 regulation losses, 1 overtime losses
Points
11
Points rank
#25 of 32
Goal diff
−7

Every club’s 2026-27 standings

The model’s read · 2026-27

Rated in line with the standings

  • #26 of 32In points
  • #21 of 32By xG-Elo
Where the model disagrees most
How the rating works — it is built from expected-goal margin, not from results

xG-Elo moves game by game with the model’s expected-goals margin, never with the score or the standings, which is why it can disagree with a club’s points. That disagreement is the sentence above. Under 7 spots apart the two are read as in line: a display rule for the wording, not a test of whether a gap is real.

This club’s rating is 1487. Every club starts from 1500 and is pulled back toward it between seasons, so above 1500 is stronger than an average team and below it weaker.

2026-27 · 13 games · goals

Goal margin: expected and actual

The rating and the standings roughly agree about the Anaheim Ducks, so there is little gap to explain.

Expected goal margin−7.9 · #27 of 32

Actual goal margin, same attempts−7 · #24 of 32

Gap +0.9 goals, actual minus expected

Scoring, against the model
+1.2More goals than its chances were worth
Goals allowed, against the model
+0.3More than its opponents’ chances were worth
Compare with every club — where its two margins sit among the league’s

Expected goal margin−7.9 · #27 of 32

Actual goal margin, same attempts−7 · #24 of 32

  • Expected, from chance quality
  • Actual
  • Another club
Every club’s two margins, 2026-27, in order of expected margin
#ClubExpectedActualGap
1CAR+21.6+21−0.7
2MIN+18.1+12−6.0
3NJD+13.8+5−8.8
4UTA+13.7+5−8.7
5VGK+13.3+10−3.4
6TBL+9.8+6−3.8
7DET+6.1−1−7.1
8COL+5.1+13+7.9
9EDM+4.3+13+8.7
10FLA+3.9+2−1.9
11DAL+3.6+5+1.4
12NYR+2.3+2−0.3
13BUF+1.6−6−7.6
14STL+1.5+2+0.5
15MTL+0.5+3+2.5
16WSH+0.3+6+5.7
17BOS0.0+18+18.0
18OTT−0.9−2−1.1
19LAK−1.8−8−6.2
20NSH−2.7−4−1.3
21PIT−3.0−1+2.0
22NYI−3.5+5+8.6
23CGY−4.8−17−12.2
24TOR−5.2+7+12.2
25WPG−6.3−10−3.7
26CBJ−6.8−9−2.2
27ANA−7.9−7+0.9
28SEA−8.4+2+10.4
29CHI−13.6−21−7.4
30SJS−15.8−7+8.8
31PHI−16.2−21−4.8
32VAN−22.5−23−0.5

Every club’s expected goals and goals, for and against, are on the Teams page.

How these are counted — open-play unblocked attempts at every strength; not the standings’ goal totals

The reading in full

The rating and the standings roughly agree about the Anaheim Ducks, so there is little gap to explain; the figures above are what each ranking is built from.

The rating is built from expected goals, the chances a club makes and allows. The standings are built from results, and results from goals. These are the two ledgers side by side, over the same attempts.

Both margins count the same pucks: open-play unblocked attempts, at every strength, with a recorded location. The actual margin is the goals on those attempts, so it leaves out penalty-shot goals and each shootout winner’s extra goal, which the standings count.

Raw, the Anaheim Ducks scored 1.2 more goals than their chances were worth and allowed 0.3 more than their opponents’ chances were worth so far in 2026-27. The scoring and allowed bars are these raw figures, measured against the model alone: the model’s league-wide level for the season being played is read once, after the season, so no average club is measured until then, and the league’s own level stays in each club’s figure. Goals allowed beyond the chances is goaltending, and whatever else the model does not see.

Expected goals and goals, Anaheim Ducks, 2026-27
LedgerForAgainst
Expected goals41.849.7
Goals on those attempts4350
Rating entering the season
1506 · #13 of 32
Rating entering its latest game
1487 · #21 of 32

The rating carries each club into a season from the last one, pulled back toward 1500, and then moves after every game by how far that game’s expected-goal margin beat or missed what the two clubs’ ratings predicted, home ice included. Its latest figure is the rating the club took into its most recent game.

What it cannot establish

Whether scoring or keeping out goals beyond expected is skill that will last, luck that will not, or chances the model reads wrong: nothing here tells the three apart. For skaters, finishing above expected has carried only partly into the following season — does finishing persist? These figures say which ledger the standings came from, not which ranking is right.

Regular season · per game · same attempts

Season trends

  • Expected
  • Actual
  • 2021-22: expected goal difference −0.50 per game, goal difference on the same attempts −0.46 per game, over 82 games
  • 2022-23: expected goal difference −1.35 per game, goal difference on the same attempts −1.59 per game, over 82 games
  • 2023-24: expected goal difference −0.84 per game, goal difference on the same attempts −1.10 per game, over 82 games
  • 2024-25: expected goal difference −0.70 per game, goal difference on the same attempts −0.55 per game, over 82 games
  • 2025-26: expected goal difference +0.09 per game, goal difference on the same attempts −0.28 per game, over 82 games
  • 2026-27 to date: expected goal difference −0.61 per game, goal difference on the same attempts −0.54 per game, over 13 games
Goal difference per game, expected (xGD) and actual (GD), using the same open-play attempts
How it is counted — not the standings’ goal difference

Each regular season, both figures count the same open-play unblocked attempts: expected goals for minus against, and the goals scored on those attempts for minus against, each divided by games played (GP). That is not the standings’ goal difference, which also counts penalty-shot goals and each shootout winner’s extra goal. The season to date is drawn on its own, joined to nothing.

Next game

Ottawa Senators at Anaheim Ducks

Sun, Nov 1 · 8:00 PM ET

Pre-game win chance

OTT 46%ANA 54%

Set Oct 31, 8:50 AM ET, before puck drop.

The model’s projection, not a betting recommendation. Its accuracy is modest (AUC 0.600, on a scale where 0.5 is a coin flip and 1.0 is perfect). That figure is measured on 2025-26, the season the rest adjustment was first seen in, so it describes that season rather than testing the model on games it had not seen.

Game preview

Last game · numbered by five-on-five time together

Lines from last game

Oct 29 vs BUF (Buffalo Sabres). These are the lines that game was played with, not a projection of the next one.

Forwards

  1. Line 1GreerGauthierWashe6:28 together at five-on-five
  2. Line 2KillornCarlssonCaulfield5:56 together at five-on-five
  3. Line 3McQueenVatranoColangelo5:53 together at five-on-five
  4. Line 4MalottGranlundSennecke5:37 together at five-on-five

Defence

  1. Pair 1LuneauHinds10:43 together at five-on-five
  2. Pair 2LaCombeWarren9:55 together at five-on-five
  3. Pair 3JensenMitchell8:32 together at five-on-five

Penalty kill

  1. PK1WasheKillornLaCombeJensen1:03 together killing a penalty
  2. PK2GranlundCarlssonLaCombeWarren0:55 together killing a penalty

Goalie

Box score

Skaters
G
A
+/-
PIM
SH%
PPG
SHG
HIT
BLK
GV
TK
FOW
FOL
FO%
SHFT
TOI PP
TOI SH
0
2
−1
0
1
0.0
0
0
2
2
2
1
0
0
—
29
29:36
4:10
3:12
1
0
−1
0
2
50.0
1
0
0
0
1
0
13
10
56.5
22
23:14
4:10
1:30
2
0
0
0
10
20.0
2
0
2
1
1
0
2
0
100.0
20
22:18
4:10
0:00
0
3
−1
0
5
0.0
0
0
0
0
2
0
6
5
54.5
24
22:09
4:10
1:12
1
0
0
0
3
33.3
0
0
1
1
0
2
0
0
—
26
21:57
0:46
0:00
1
1
0
2
2
50.0
0
0
2
0
1
0
0
0
—
21
21:13
4:10
0:00
0
0
−1
0
1
0.0
0
0
1
2
2
0
11
7
61.1
24
16:09
0:46
2:00
0
0
−3
2
0
—
0
0
1
1
1
0
0
0
—
20
15:18
0:00
0:00
0
1
0
0
1
0.0
0
0
1
0
2
0
0
0
—
18
14:49
0:00
1:05
0
0
−2
0
0
—
0
0
2
0
1
0
0
0
—
22
14:45
0:00
1:17
0
0
+1
0
0
—
0
0
0
1
2
0
0
0
—
18
14:24
0:00
0:50
1
0
0
0
2
50.0
0
0
2
0
1
0
4
4
50.0
17
13:44
0:00
0:00
0
1
0
0
0
—
0
0
5
0
0
0
0
0
—
19
13:38
0:46
0:00
0
0
0
0
1
0.0
0
0
5
0
1
0
2
0
100.0
18
13:33
0:00
0:00
0
0
+1
0
1
0.0
0
0
1
0
0
1
0
0
—
18
13:00
0:46
1:42
0
0
0
2
2
0.0
0
0
1
0
2
1
0
0
—
15
11:33
0:00
0:00
0
1
+1
0
2
0.0
0
0
0
0
2
0
2
0
100.0
17
11:06
0:46
0:00
0
0
−2
0
2
0.0
0
0
1
1
0
0
0
1
0.0
15
10:48
0:00
0:00
Goaltending
SOGA
MIN
PIM
31
7
24
.774
53:34
0
How these lines are found — from the shift charts, numbered by time together, not a coach’s depth chart

Every shift each player took in the game is lined up against everyone else’s, using the NHL’s own shift charts. Only five-on-five time with both goalies in net counts, so power plays and penalty kills do not split a line. Line 1 is the three forwards who spent the most of that time on the ice together, line 2 the most of the rest, and so on; defence pairs the same way.

A group that never took a full shift together, about a minute, is not called a line: its players are listed as also played. A game is used only when every skater’s time in the shift chart is within 30 seconds of the box score, so a chart the NHL published incomplete is skipped rather than read.

A power-play unit is the same five skaters on the ice together while the club had five skaters to the other side’s four or three; a penalty-kill unit is four skaters together while short a man. The second unit is the best group that shares at most one player with the first, since one player often plays on both. Power-play and short-handed time follow the penalties, not an empty net: a goalie pulled for an extra attacker at even strength is still even strength.

The box score is the NHL’s own, except four figures it does not publish. Short-handed goals and faceoffs won and lost come from the play-by-play, which is used only when it reproduces the box score’s goals, power-play goals and faceoff percentages exactly; power-play and short-handed ice time come from the shift chart.

Current roster · clubs updated weekly

Roster

Per-game rates, recency-weighted over every season since 2021-22. Skaters are listed by Adj. P, points per game pulled toward the league average when the sample is small; the other rates are the recorded ones.

Forwards: per-game rates
Forwards#Adj. PPTSGA
Leo Carlsson910.890.900.340.562.24226
Troy Terry190.830.840.300.542.49371
Cutter Gauthier610.790.790.410.383.37183
Beckett Sennecke450.750.750.370.382.44107
Mikael Granlund640.740.740.270.471.89415
Alex Killorn170.470.470.220.261.80445
Judd Caulfield280.450.450.180.271.0011
Ryan Poehling250.440.440.170.271.25346
Frank Vatrano770.420.420.230.192.27393
Sam Colangelo120.400.390.190.211.2653
Sean Farrell590.380.170.170.001.336
A.J. Greer180.340.340.180.161.26316
Nikita Nesterenko130.300.290.120.171.1472
Tim Washe420.240.230.100.130.9066
Jeff Malott390.210.210.070.130.9393
Nathan Gaucher410.180.000.000.000.673
Roger McQueen950.160.130.130.001.258
James Hamblin380.150.080.060.030.6741
Nikita Klepov400.090.000.000.000.004
Defence: per-game rates
Defence#Adj. PPTSGA
Jackson LaCombe20.690.690.120.581.57255
Tristan Luneau670.490.500.170.331.1327
Noah Warren470.320.310.000.310.6913
Nick Jensen40.290.290.060.220.84379
Pavel Mintyukov980.280.280.080.201.06225
Corey Schueneman260.220.110.030.091.1135
Drew Helleson140.210.210.040.170.83133
Ian Moore30.180.170.060.111.0380
Travis Mitchell340.150.120.040.080.5617
Tyson Hinds550.040.020.000.021.0228
Goalies: per-game rates
Goalies#
Ville Husso33.8853.0323.326.354:01162
Laurent Brossoit31.9082.4723.626.056:3468
Lukas Dostal1.8893.0724.727.756:50198
Vyacheslav Buteyets32.7693.0010.013.020:001
How these rates are built — the club is their current one, re-checked weekly; the rates span every season since 2021-22

Each player is listed under the club the NHL had them on when we last checked, and clubs are re-checked once a week: a player traded in the last few days can still appear under their previous club, while the rates beside them span every season since 2021-22, wherever they played them. Each rate is a recency-weighted per-game average, and Sample is the number of games it rests on.

Skaters are ordered by a points rate shrunk toward the league average in proportion to how little a player has played, so a one-game sample does not out-rank a career. That rate is Adj. P; PTS and the other columns are the recorded rates, and for anyone with a real sample Adj. P and PTS are nearly the same number. Save percentage is total saves over total shots, weighted, not the average of per-game save percentages, which would count a two-shot relief appearance as heavily as a forty-shot start.

2026-27 cap · 2025-26 production

Best cap efficiency

Best cap efficiency on this club: points per $1M of cap hit
#SkaterCap hitClub controlPTSPTS / $1M
1Beckett SenneckeR82$0.95M2 yrsRFA6062.9
2Drew HellesonD60$1.10M1 yrRFA1513.6
3Nikita NesterenkoC29$0.84M1 yrUFA910.7
4Ian MooreD67$1.15M2 yrsRFA1210.4
5Ryan PoehlingC75$3.75M4 yrsUFA369.6

Club control counts every season a player is signed through, extensions included, so it can describe a different contract from the cap hit beside it. A player measured against the season that earned his contract looks expensive, so recent signings sit low and entry-level deals sit high, by construction. Cap efficiency across the league.