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TBL

Tampa Bay Lightning

Rated #7 of 32 by xG-Elo in 2026-27

2026-27 regular season

Record
8 wins, 3 regulation losses, 1 overtime losses
Points
17
Points rank
#8 of 32
Goal diff
+6

Every club’s 2026-27 standings

The model’s read · 2026-27

Rated in line with the standings

  • #10 of 32In points
  • #7 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 1529. 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 · 12 games · goals

Goal margin: expected and actual

The rating and the standings roughly agree about the Tampa Bay Lightning, so there is little gap to explain.

Expected goal margin+9.8 · #6 of 32

Actual goal margin, same attempts+6 · #8 of 32

Gap −3.8 goals, actual minus expected

Scoring, against the model
−2.1Fewer goals than its chances were worth
Goals allowed, against the model
+1.7More than its opponents’ chances were worth
Compare with every club — where its two margins sit among the league’s

Expected goal margin+9.8 · #6 of 32

Actual goal margin, same attempts+6 · #8 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 Tampa Bay Lightning, 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 Tampa Bay Lightning scored 2.1 fewer goals than their chances were worth and allowed 1.7 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, Tampa Bay Lightning, 2026-27
LedgerForAgainst
Expected goals46.136.3
Goals on those attempts4438
Rating entering the season
1523 · #5 of 32
Rating entering its latest game
1529 · #7 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 +0.34 per game, goal difference on the same attempts +0.70 per game, over 82 games
  • 2022-23: expected goal difference +0.33 per game, goal difference on the same attempts +0.34 per game, over 82 games
  • 2023-24: expected goal difference +0.21 per game, goal difference on the same attempts +0.24 per game, over 82 games
  • 2024-25: expected goal difference +0.43 per game, goal difference on the same attempts +0.93 per game, over 82 games
  • 2025-26: expected goal difference +0.56 per game, goal difference on the same attempts +0.70 per game, over 82 games
  • 2026-27 to date: expected goal difference +0.81 per game, goal difference on the same attempts +0.50 per game, over 12 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

Tampa Bay Lightning at Nashville Predators

Sat, Oct 31 · 2:00 PM ET

Pre-game win chance

TBL 53%NSH 47%

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 WPG (Winnipeg Jets). These are the lines that game was played with, not a projection of the next one.

Forwards

  1. Line 1HagelCirelliHolmberg12:32 together at five-on-five
  2. Line 2GuentzelPointKucherov11:31 together at five-on-five
  3. Line 3JamesGoncalvesMikheyev5:49 together at five-on-five

Also played (forwards, not part of a line): Jeffrey Viel 11:22 at 5-on-5, Conor Geekie 10:20 at 5-on-5

Defence

  1. Pair 1CernakHedman12:28 together at five-on-five
  2. Pair 2MoserMcDonagh12:21 together at five-on-five
  3. Pair 3D'AstousCarlson9:34 together at five-on-five

Also played (defence, not part of a pair): Emil Lilleberg 7:52 at 5-on-5

Penalty kill

  1. PK1MikheyevGuentzelHedmanLilleberg1:06 together killing a penalty
  2. PK2CirelliHagelCernakMoser0:54 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
1
0
0
6
0.0
0
0
1
1
1
0
3
11
21.4
27
22:51
4:40
1:44
1
2
+1
0
5
20.0
0
0
1
1
1
1
0
0
—
26
21:47
3:46
2:13
1
0
0
0
3
33.3
0
0
0
0
0
0
4
4
50.0
23
20:12
4:19
0:00
0
0
0
0
2
0.0
0
0
1
1
1
0
0
0
—
23
19:18
3:36
0:00
0
0
−1
0
0
—
0
0
2
0
1
0
0
0
—
23
19:04
0:05
2:00
1
2
+1
0
1
100.0
1
0
1
0
1
0
12
13
48.0
27
19:00
1:40
2:14
0
0
+1
0
1
0.0
0
0
0
3
1
0
0
0
—
22
18:31
0:00
1:50
0
0
−1
0
0
—
0
0
0
2
1
0
0
0
—
22
18:06
0:00
2:04
1
3
+1
0
1
100.0
0
0
0
1
1
0
0
0
—
23
17:54
0:51
0:00
0
0
+2
2
0
—
0
0
0
0
1
0
0
0
—
22
17:51
0:00
1:02
0
1
0
2
3
0.0
0
0
1
0
2
0
0
0
—
22
16:13
3:09
0:00
0
0
0
0
0
—
0
0
1
0
1
0
0
0
—
23
16:06
0:00
1:47
1
0
+2
0
3
33.3
0
0
0
1
0
0
0
0
—
21
13:12
1:55
0:00
0
1
−1
0
1
0.0
0
0
1
0
1
0
0
0
—
19
12:15
2:22
0:00
0
1
+1
0
2
0.0
0
0
1
0
0
0
4
8
33.3
18
11:48
0:00
0:00
1
0
0
0
2
50.0
0
0
5
0
1
0
4
7
36.4
16
11:32
1:12
0:00
0
1
0
0
1
0.0
0
0
1
0
2
0
0
0
—
16
11:22
0:00
0:00
0
0
−1
0
0
—
0
0
1
0
0
0
0
0
—
12
8:58
0:00
1:06
Goaltending
SOGA
MIN
PIM
21
4
17
.809
60:00
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

All Tampa Bay Lightning 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
Nikita Kucherov861.541.550.481.073.21422
Jake Guentzel591.061.070.490.582.88424
Brandon Hagel381.031.040.480.562.96449
Brayden Point210.880.890.390.502.30413
Anthony Cirelli710.660.660.290.371.71422
Nick Abruzzese800.440.380.080.310.9211
Ilya Mikheyev950.430.430.220.211.64364
Yanni Gourde370.410.410.120.291.45400
Gage Goncalves930.380.380.120.261.04159
Dominic James170.380.380.160.221.3154
Pontus Holmberg290.380.380.160.211.22260
Dylan Duke530.350.250.250.000.753
Jakob Pelletier220.320.310.120.201.1091
Conor Geekie940.250.240.160.081.1084
Scott Sabourin490.230.210.030.180.4241
Jeffrey Viel250.210.200.060.141.21109
Zemgus Girgensons280.200.190.090.101.14378
Jansen Harkins100.150.150.060.090.85254
Defence: per-game rates
Defence#Adj. PPTSGA
Victor Hedman770.690.690.140.561.93397
John Carlson740.690.690.160.532.22394
Maxim Groshev520.480.500.000.500.502
Charle-Edouard D'Astous510.440.440.110.341.2784
Ryan McDonagh270.360.350.060.290.90399
Simon Lundmark70.310.000.000.001.001
Max Crozier240.300.300.020.281.4364
J.J. Moser900.290.290.070.231.19362
Erik Cernak810.210.200.040.170.97384
Emil Lilleberg780.200.190.040.160.69186
Steven Santini160.140.090.000.090.3918
Michael Callahan790.090.040.040.000.5622
Goalies: per-game rates
Goalies#
Andrei Vasilevskiy88.9082.4423.926.359:30351
Olivier Rodrigue32.8622.0012.514.538:432
Mads Sogaard30.8593.2019.522.747:2431
Hugo Alnefelt60.7003.007.010.020:001
Dennis Hildeby35.9052.6224.427.053:3029
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
1Charle-Edouard D'AstousD70$0.88M1 yrUFA2933.1
2Gage GoncalvesC74$1.20M1 yrRFA3327.5
3Zemgus GirgensonsC74$0.93M1 yrUFA2021.6
4Dominic JamesC43$0.91M1 yrRFA1516.5
5Pontus HolmbergR70$1.55M1 yrUFA2214.2

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.