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MIN

Minnesota Wild

Rated #2 of 32 by xG-Elo in 2026-27

2026-27 regular season

Record
9 wins, 3 regulation losses, 3 overtime losses
Points
21
Points rank
#2 of 32
Goal diff
+12

Every club’s 2026-27 standings

The model’s read · 2026-27

Rated in line with the standings

  • #2 of 32In points
  • #2 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 1547. 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 · 15 games · goals

Goal margin: expected and actual

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

Expected goal margin+18.1 · #2 of 32

Actual goal margin, same attempts+12 · #5 of 32

Gap −6.0 goals, actual minus expected

Scoring, against the model
−13.2Fewer goals than its chances were worth
Goals allowed, against the model
−7.1Fewer than its opponents’ chances were worth
Compare with every club — where its two margins sit among the league’s

Expected goal margin+18.1 · #2 of 32

Actual goal margin, same attempts+12 · #5 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 Minnesota Wild, 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 Minnesota Wild scored 13.2 fewer goals than their chances were worth and allowed 7.1 fewer 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, Minnesota Wild, 2026-27
LedgerForAgainst
Expected goals60.242.1
Goals on those attempts4735
Rating entering the season
1513 · #8 of 32
Rating entering its latest game
1547 · #2 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 +0.12 per game, goal difference on the same attempts +0.68 per game, over 82 games
  • 2022-23: expected goal difference +0.20 per game, goal difference on the same attempts +0.26 per game, over 82 games
  • 2023-24: expected goal difference +0.16 per game, goal difference on the same attempts −0.15 per game, over 82 games
  • 2024-25: expected goal difference −0.09 per game, goal difference on the same attempts −0.13 per game, over 82 games
  • 2025-26: expected goal difference +0.20 per game, goal difference on the same attempts +0.40 per game, over 82 games
  • 2026-27 to date: expected goal difference +1.20 per game, goal difference on the same attempts +0.80 per game, over 15 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

Minnesota Wild at Washington Capitals

Sun, Nov 1 · 3:30 PM ET

Pre-game win chance

MIN 52%WSH 48%

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 NYI (New York Islanders). These are the lines that game was played with, not a projection of the next one.

Forwards

  1. Line 1KaprizovBoldyEk11:53 together at five-on-five
  2. Line 2TreninYurovShabanov11:39 together at five-on-five
  3. Line 3ColemanMcCarronBrink9:29 together at five-on-five
  4. Line 4SturmPitlickHartman5:44 together at five-on-five

Defence

  1. Pair 1HughesBrodin19:10 together at five-on-five
  2. Pair 2MaattaBogosian10:00 together at five-on-five
  3. Pair 3KierstedSpacek7:49 together at five-on-five

Power play

  1. PP1KaprizovBoldyShabanovEkHughes3:29 together on the power play
  2. PP2HartmanBrinkColemanYurovSpacek1:01 together on the power play

Penalty kill

  1. PK1ColemanSturmKierstedBogosian0:54 together killing a penalty
  2. PK2McCarronBoldyBrodinMaatta0:35 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
1
1
0
0
4
25.0
0
0
1
1
2
0
0
0
—
27
33:41
4:43
0:04
0
1
+1
0
1
0.0
0
0
2
3
1
1
0
0
—
24
23:36
0:00
1:45
0
1
0
0
3
0.0
0
0
2
0
2
0
0
0
—
23
21:50
4:55
0:02
1
0
+2
0
4
25.0
0
0
0
0
3
2
1
1
50.0
21
21:10
4:40
0:41
0
0
−1
0
3
0.0
0
0
1
0
0
1
4
8
33.3
16
18:02
1:20
0:25
0
0
−1
0
0
—
0
0
1
1
3
1
0
0
—
15
17:49
4:11
0:00
1
0
+1
2
3
33.3
0
0
2
0
1
0
5
9
35.7
21
17:12
3:29
0:00
0
0
0
2
1
0.0
0
0
0
1
2
0
0
0
—
23
16:58
0:01
0:59
0
0
+1
0
1
0.0
0
0
3
1
1
0
1
1
50.0
16
16:16
1:20
1:43
0
0
−1
0
0
—
0
0
2
0
0
0
0
0
—
23
16:05
0:00
0:58
0
0
−1
0
0
—
0
0
4
0
2
0
2
0
100.0
16
15:04
0:00
0:24
0
0
+1
0
1
0.0
0
0
1
0
0
0
0
0
—
15
14:48
1:49
0:00
0
0
0
0
0
—
0
0
1
1
2
1
0
0
—
17
13:45
0:00
1:42
0
1
+1
0
2
0.0
0
0
1
2
2
0
5
6
45.5
16
13:09
2:15
0:00
0
0
−1
0
3
0.0
0
0
2
1
0
0
6
8
42.9
14
12:12
0:00
1:19
0
0
+1
0
0
—
0
0
0
1
0
0
0
0
—
15
10:33
1:17
0:00
0
0
−1
0
0
—
0
0
5
0
1
0
1
0
100.0
13
10:04
0:00
0:54
0
0
0
0
0
—
0
0
3
0
0
0
0
0
—
11
6:41
0:00
0:00
Goaltending
SOGA
MIN
PIM
26
4
22
.846
60:33
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.

From the last 7 days · newest first

News

  1. Rumour

    Young Minnesota Wild Center Appears On NHL Trade Board (external site)

    The Hockey News - Minnesota Wild via Yahoo Sports ·

    In this story: Danila Yurov, Minnesota Wild

All Minnesota Wild news

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
Kirill Kaprizov971.271.280.640.643.43386
Matt Boldy120.980.990.460.533.49405
Joel Eriksson Ek140.740.740.310.433.08382
Ryan Hartman380.510.510.240.272.16403
Maxim Shabanov490.500.500.180.321.2558
Blake Coleman200.480.480.260.222.44419
Bobby Brink100.440.440.160.281.41233
Nick Foligno710.360.360.150.211.20357
Danila Yurov220.360.360.190.171.1997
Marcus Foligno170.300.300.160.141.12360
Hunter Haight370.270.220.110.111.449
Mason Shaw180.260.230.090.141.3782
Michael McCarron470.260.260.100.161.40340
Yakov Trenin130.240.240.080.161.18435
Nico Sturm780.240.230.090.140.92360
Rieger Lorenz610.210.170.000.170.336
Justin Kirkland280.200.190.060.130.5150
Dylan Gambrell180.190.150.060.090.82123
Tyler Pitlick190.090.080.050.030.92175
Defence: per-game rates
Defence#Adj. PPTSGA
Quinn Hughes431.111.110.170.942.53417
Brock Faber70.560.560.170.401.94265
Jared Spurgeon460.350.350.080.271.33344
Jonas Brodin250.310.310.060.261.31345
Carson Lambos550.310.000.000.001.001
Olli Maatta30.280.280.050.230.78354
Viking Gustafsson Nyberg60.230.000.000.000.002
Matt Kiersted260.190.170.010.160.9345
Zach Bogosian240.140.130.030.100.93337
David Spacek820.050.000.000.001.009
Goalies: per-game rates
Goalies#
Calvin Pickard31.8852.7621.224.053:4993
Filip Gustavsson32.9072.6325.728.458:52222
Jesper Wallstedt30.9142.4626.028.459:2363
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
1Danila YurovR73$0.97M2 yrsRFA2727.8
2Nick FolignoL54$0.90M1 yrUFA1516.7
3Blake ColemanL69$2.45M1 yrUFA3514.3
4Matt BoldyL76$7.00M4 yrsUFA8512.1
5Maxim ShabanovR44$1.60M1 yrRFA1811.3

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.