Team Stats

2019–20 Regular Season*

* 69-game season for Buffalo, cut short by the COVID-19 pandemic.

Coach: Ralph Krueger
Total Players: 35
Related2019–20 game results2019–20 standings
Season Summary

30-31-8, 68 points, a -22 goal differential.

BEST LINE
Okposo–Larsson–Girgensons, 53.5% of 5v5 xG and 11-11 on goals
BEST PAIR
Scandella–Jokiharju, 52.1% of 5v5 xG and 17-12 on goals
PENALTIES
Drew 226, took 215 (+11)
Team Totals
193
215
-22
18.9%
74.6%
45.9%
3.12
8.5%
.918
1.003
GF
GA
DIFF
PP%
PK%
FO%
GAA
S% (5v5)
SV% (5v5)
PDO (5v5)
NHL
21st
20th
25th
20th
30th
31st
22nd
14th
13th
15th
CONF
11th
9th
13th
10th
15th
16th
10th
8th
6th
8th
DIV
6th
3rd
6th
5th
7th
8th
4th
4th
3rd
4th
ALL-TIME
28th pct
28th pct
21st pct
47th pct
3rd pct
13th pct
74th pct
50th pct

All-time is where 2019–20 ranks among Sabres regular seasons, as a percentile: GF, GA and DIFF since 1970–71 (55 seasons), PP% and PK% since 1977–78 (48), FO% since 1997–98 (28), S% (5v5) and SV% (5v5) since 2009–10 (17). GF, GA and DIFF are relative to each season's league scoring. Higher is better, GA included.

Okposo–Larsson–Girgensons
Best Line
53.5% of xG (11.45 to 9.96), 11-11 on goals and 320-292 on attempts in 391:18 together. Okposo, Girgensons and Larsson scored 10 goals with the line out.
Scandella–Jokiharju
Best D Pair
52.1% of xG (10.65 to 9.79), 17-12 on goals and 281-254 on attempts in 309:39 together. Scandella and Jokiharju scored 4 goals with the pair out.
Goal differential
LEAGUE MED +4BUF -22-123+60
One dot per NHL team.
PDO (5v5)
LEAGUE MED 1.001BUF 1.0030.9651.028
One dot per NHL team.
Team Leaders
78
POINTS
42
ASSISTS
+13
PLUS/MINUS
+12.1
GAX
18
QUALITY STARTS

Skater Scatter

Any two stats, one dot per skater. What is xG?

Dot size is ice time per game. Above the dashed line: more Goals than xG. Shaded: ±1 SD of finishing luck. Dotted ring: goals more than 2 SD from xG, past finishing luck.

X axis:
Y axis:
Forwards Defense
0.06.512.919.425.8010192939Expected goals (ixG)Goals

31 skaters shown, 1 off the plot (no xG or Goals value).

More cuts on the Stats Playground scatter.

Goalies: Goals Against vs xGA

Green: fewer goals against than expected. Red: more.

xGAGoals Against
0275480107Linus UllmarkLinus Ullmark: 96.5 xGALinus Ullmark: 91 Goals Against (+5.5 vs expected)91 / 96.5Jonas JohanssonJonas Johansson: 12.4 xGAJonas Johansson: 16 Goals Against (-3.6 vs expected)16 / 12.4Carter HuttonCarter Hutton: 82.8 xGACarter Hutton: 94 Goals Against (-11.2 vs expected)94 / 82.8
Games 1 (Oct 3) to 69 (Mar 9)

69 games.

Expected Goals

Season-to-date xG against goals, game by game. What is xG?

through 69 of 69 games
Drag to zoom

These stats don’t share a natural scale, so each line is normalized to its own 0-100% range for shape comparison. Hover a point for its real value.

-17.8-7.5+2.7Oct 3Oct 16Oct 28Nov 16Nov 27Dec 8Dec 21Jan 4Jan 18Feb 7Feb 22Mar 5@ PIT 3-1 Wvs NJD 7-2 W@ CBJ 3-4 Lvs MTL 5-4 Wvs FLA 3-2 Wvs DAL 4-0 W@ ANA 2-5 L@ LAK 3-0 W@ SJS 4-3 Wvs SJS 4-3 W@ NYR 2-6 L@ DET 2-0 Wvs ARI 2-3 L@ WSH 1-6 Lvs NYI 0-1 Lvs TBL 2-3 L@ TBL 3-5 Lvs CAR 4-5 Lvs OTT 4-2 W@ CHI 1-4 Lvs MIN 1-4 L@ BOS 2-3 L@ FLA 5-2 W@ TBL 2-5 Lvs CGY 2-3 Lvs TOR 6-4 W@ TOR 1-2 Lvs NJD 7-1 W@ CGY 3-4 L@ VAN 5-6 L@ EDM 3-2 Wvs STL 5-2 Wvs NSH 4-3 W@ NYI 2-3 L@ TOR 3-5 L@ PHI 1-6 Lvs LAK 3-2 W@ OTT 1-3 Lvs BOS 0-3 L@ BOS 2-3 Lvs TBL 4-6 Lvs EDM 3-2 Wvs FLA 3-2 W@ STL 1-5 Lvs VAN 3-6 L@ DET 5-1 Wvs VGK 4-2 W@ DAL 4-1 W@ NSH 1-2 Lvs OTT 2-5 Lvs MTL 1-3 Lvs CBJ 2-1 Wvs COL 1-6 Lvs DET 3-4 L@ NYR 3-2 Wvs ANA 2-3 Lvs DET 3-2 Wvs CBJ 4-3 Wvs TOR 5-2 W@ OTT 4-7 L@ PIT 5-2 Wvs WPG 2-1 W@ COL 2-3 L@ VGK 2-4 L@ ARI 2-5 L@ WPG 1-3 Lvs PIT 2-4 L@ PHI 1-3 Lvs WSH 3-2 WGamexG Differential (cumulative)

Running total, all situations. Ticks under the axis: green won, red lost.

Shot Map

Every BUF shot attempt this season, to scale, attacking right.

xG range
Shot on goal (size = xG)GoalMissed shot×Blocked shot

Win DNA

Yes-or-no box-score traits, and how often the Sabres won with and without each. Correlation, not cause.

How this is measured

Every counting stat runs higher in a win (you score more when you win), so each game gets a yes-or-no question instead, and the win rate when yes is set against the win rate when no. The gap is the lift, in percentage points. A trait can be a symptom of a good night as much as a reason for one. Shot-attempt share (CF%) is left out: in a single game the trailing team piles up attempts, so out-attempting the opponent has gone with a lower win rate.

30-39 in 69 decided games, 2019–20 regular season, with 8 of those losses in overtime or a shootout.
Wins (30)Losses (39, 8 in overtime or a shootout)
3+ scorersxG share 50%+, allGoalie > xGD combined 3+ ptsScored firstMore HD chances, allShot qualityDepth goal50%100%

The wider the gap on an axis, the more that trait separates a win from a loss.

The raw split, wins vs losses

The totals the table above deliberately doesn't lead with. Goals and points from both positions climb in wins, but the defense's share of the offense barely moves, which is why the question is who else scored, not whether the D did.

PER GAMEWINS (30)LOSSES (39)
Forward goals3.501.56
Defense goals0.370.41
Forward points7.333.67
Defense points2.931.44
Different goal scorers3.271.92
D share of points29%28%
D share of shots28%31%

Goal Differential Breakdown

Buffalo finished -22 over 69 games. Biggest pieces: goaltending -9.4, even-strength shot volume -7.0.

Added goalsCost goalsGoal differentialWhisker: one standard deviation of shot-outcome noise.
-30-20-100Goals0Start-7.0Even-strengthshot volume-2.7Even-strengthshot quality+1.8Penaltydifferential-1.6Power playefficiency-4.4Penalty killefficiency+3.3Finishing-9.4Goaltending-2.0Goaliepulled-22Goaldifferential
2019–20 REGULAR SEASON, GOALS
COMPONENTGOALSNOISE (ONE SD)REPEATS
Even-strength shot volume-7.0±3.9Usually
Even-strength shot quality-2.7n/aUsually
Penalty differential+1.8n/aSometimes
Power play efficiency-1.6n/aUsually
Penalty kill efficiency-4.4n/aUsually
Finishing+3.3±12.3Sometimes
Goaltending-9.4±12.7Sometimes
Goalie pulled-2.0n/aNot a skill
Unmodeled0.0n/an/a
Goal differential-22n/an/a

Repeats asks whether a team doing this in one half of a season keeps doing it in the other, league-wide.

How this is measured
Even-strength shot volume
Out-attempting opponents at even strength, with every unblocked attempt priced at the league's average even-strength shot for the season.
Even-strength shot quality
Getting better chances than opponents at even strength, beyond the attempt count.
Penalty differential
Discipline plus drawing: minutes up a skater minus minutes down, priced at the league's net xG per power-play minute.
Power play efficiency
Net xG on the power play above or below league-rate conversion of Buffalo's own power-play minutes, shorthanded chances conceded included.
Penalty kill efficiency
Net xG on the penalty kill above or below league-rate cost of Buffalo's own shorthanded minutes, shorthanded chances created included. Positive means fewer net chances conceded than the league would have.
Finishing
Goals scored above or below what Buffalo's chances were worth, goalie in the net.
Goaltending
Goals allowed below or above what opponents' chances were worth, goalie in the net.
Goalie pulled
Net goals with a goalie pulled: into an empty net, or by the extra attacker. Follows who was trailing late, not a skill of its own.
Unmodeled
Goals on shots the model could not score, plus any goal the shot list is missing.
  • 193 for, 215 against, regulation and overtime; the rows sum to the goal differential before rounding.
  • Built from 69 of 69 games with xG data; the official goal differential was -22.
  • Even-strength volume is priced at the league's average even-strength attempt for the season (0.0576 xG in 2019-20), and penalty differential at the league's net xG per power-play minute (0.072), both measured over every game in the league with the same model. Over the games covered, Buffalo's own games averaged 0.0619 xG per even-strength attempt; quality is what remains of the even-strength xG gap after volume.
  • Power-play and shorthanded minutes are read from the situation code on each play, both goalies in, which runs slightly above the official power-play figure because a penalty that expires between two plays is credited to the earlier state. The league rate per minute is priced on the same clock, so the two cancel.
  • Regulation and overtime goals only. A shootout's deciding goal is not a shot the model sees and is left out.
  • Shots at an empty net, and shots by a team with its own goalie pulled, count only as actual goals in the goalie-pulled bar. Both depend on who was trailing late, so they stay out of finishing, goaltending, special teams and even strength.
  • Goaltending leaves out shots taken while the opponent's goalie was pulled; those count only under Goalie pulled. The Goalies table's GSAx counts every shot faced, so it reads -9.3 against -9.4 here.
  • Whiskers on finishing and goaltending are one standard deviation of shot-outcome noise, each shot a coin flip weighted at its xG. The volume whisker is a Poisson approximation from the attempt counts. Quality, the three special-teams bars, goalie pulled and unmodeled carry no whisker.
  • Repeats asks how much of a component carries from one half of a team's season to the other, measured league-wide over 2016-17 to 2025-26 (314 team-seasons) with the same model: a split-half correlation, corrected to full-season length. Usually is 0.6 and above, sometimes 0.3 to 0.6, rarely below 0.3. Even a full season of finishing is about one third signal and two thirds shot-outcome luck.

Line Combinations

Lines and pairs at 5v5 this season, summed over every game together. 69 of 69 games have shift data.

What do TOI, CF, xG% etc. mean?
GP
Games in which this exact line/pair shared the ice together at 5v5.
TOI
Time on ice together at 5v5, meaning the whole line/pair on the ice at once, not any one player's own total. Only the seconds that exact pair or trio was the unit count, which is why a pair's TOI and xG% here differ slightly from the WOWY table, where together counts every 5v5 second the two share, whoever else is on the ice.
xGF / xGA
Expected goals for/against while this combo was on the ice, from this site's own xG model.
xG%
Share of on-ice expected goals this combo earned: xGF / (xGF + xGA). The single best read on who controlled play.
GF / GA
Actual goals for/against while this combo was on the ice together.
CF / CA (Corsi For / Against, Shot Attempts)
"Corsi" is just the hockey-analytics name for total shot attempts: shots on goal, missed shots, and blocked shots combined, a volume proxy for who had the puck more. CF is this combo's own attempts, CA is the opponent's.
CF%
Share of on-ice shot attempts (Corsi) this combo earned: CF / (CF + CA).
CF% Rel
This combo's CF% minus the team's own CF% in the minutes this exact combo was NOT on the ice. Positive means the combo lifted the team's play; negative means it dragged it down.
xGF% Rel
This combo's xG% minus the team's own xG% in the minutes this exact combo was NOT on the ice. Positive means the combo lifted the team's expected-goals share; negative means it dragged it down.
FF / FA
Unblocked shot attempts (also called Fenwick): shots on goal plus misses, excluding blocks. One layer closer to real scoring chances than CF/CA.
SF / SA
Shots on goal for/against while this combo was on the ice together.
Minimum Ice Time
Drag the slider on each table down to see combos with less shared ice time. Their percentages get noisier the lower you go, since a combo that barely played together can swing to 100% or 0% off a single shot.
STRENGTH
Forward Lines
Best at 5v5: Okposo–Larsson–Girgensons, 53.5% of xG and 11-11 on goals (min 100:00 together and 0.25 xG, half that with a goal; units ahead on goals rank first, then the best mix of xG share and on-ice goals, weighted two to one).
LineGPTOIxGFxGAxG%GFGACFCACF%CF% RelxGF% RelFFFASFSA
Reinhart–Olofsson–Eichel50586:2216.0917.9947.2%282653556048.9%-0.2%-0.2%422444297311
Okposo–Larsson–Girgensons45391:1811.459.9653.5%111132029252.3%3.7%6.8%247225185180
Vesey–Reinhart–Eichel28167:404.265.8142.3%6715412655.0%6.3%-5.3%1151007073
Sobotka–Johansson–Skinner15151:044.035.6141.8%8611714444.8%-4.4%-5.9%891097577
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Defense Pairs
Best at 5v5: Scandella–Jokiharju, 52.1% of xG and 17-12 on goals (min 100:00 together and 0.25 xG, half that with a goal; units ahead on goals rank first, then the best mix of xG share and on-ice goals, weighted two to one).
LineGPTOIxGFxGAxG%GFGACFCACF%CF% RelxGF% RelFFFASFSA
McCabe–Ristolainen49496:4314.9613.9551.8%192341342949.0%0.2%5.1%322327239223
Miller–Dahlin36346:4510.3011.7546.7%131232532450.1%1.4%-0.8%236239167181
McCabe–Jokiharju37324:038.549.7546.7%81326624951.7%3.1%-0.8%205194143147
Ristolainen–Montour43315:389.1412.1642.9%191023631442.9%-6.6%-5.0%184250127193
Scandella–Jokiharju30309:3910.659.7952.1%171228125452.5%4.0%5.2%222195157151
Montour–Dahlin36243:137.459.3544.3%13922020551.8%3.2%-3.4%172168125131
Miller–Jokiharju31105:563.454.0945.8%45988453.8%5.1%-1.7%75725850
Jokiharju–Dahlin22100:482.692.8148.9%35779544.8%-4.2%1.5%60804649
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With or Without You

Buffalo's 5v5 CF% and xGF% with Ristolainen on the ice, with and without each teammate. Δ is together minus apart. That gap is always measured from the named player's side, so the same pair can read positive on one player's table and negative on the other's. 2019–20 regular season, minimum 20:00 together. Together counts every 5v5 second the two share, whoever else is on the ice, so a pair's time and xGF% here differ slightly from the Line Combinations table, which counts only the seconds that exact pair or trio was the unit. 69 of 69 games have shift data.

Teammate
TOGETHER
RISTOLAINEN APART
IMPACT
TOI TogetherCF%xGF%CF%xGF%Δ CF%Δ xGF%
McCabe
502:0249.0%51.7%
43.7%42.4%
+5.3+9.3
Reinhart
431:4648.2%42.9%
44.7%48.1%
+3.5-5.2
Eichel
431:2047.1%43.8%
45.3%47.6%
+1.8-3.8
Montour
322:1842.9%43.0%
47.2%47.7%
-4.3-4.7
Olofsson
295:1847.0%49.6%
45.6%45.2%
+1.4+4.4
Girgensons
270:4747.6%50.3%
45.5%45.2%
+2.1+5.1
Larsson
268:2050.2%54.4%
44.8%43.9%
+5.4+10.5
Skinner
255:0844.8%45.7%
46.4%46.5%
-1.6-0.8
Johansson
254:0742.1%48.8%
47.1%45.5%
-5.0+3.3
Vesey
251:3945.1%43.7%
46.2%47.0%
-1.1-3.3
Okposo
215:0948.2%59.2%
45.5%43.3%
+2.7+15.9
Sheary
185:2647.3%52.2%
45.7%45.2%
+1.6+7.0
Lazar
115:5843.2%37.8%
46.3%47.4%
-3.1-9.6
Rodrigues
114:0550.7%47.1%
45.4%46.2%
+5.3+0.9
Mittelstadt
108:5840.9%40.6%
46.5%46.8%
-5.6-6.2
Pilut
96:1342.1%42.3%
46.3%46.6%
-4.2-4.3
Dahlin
91:2055.3%48.9%
45.2%46.1%
+10.1+2.8
Asplund
77:3543.1%34.9%
46.2%47.0%
-3.1-12.1
Sobotka
68:0541.1%37.2%
46.3%46.9%
-5.2-9.7
Frolik
63:4335.7%33.0%
46.6%46.9%
-10.9-13.9
Miller
53:5530.4%28.5%
46.7%47.0%
-16.3-18.5
Scandella
48:1053.4%54.8%
45.6%46.0%
+7.8+8.8
Jokiharju
42:0033.3%30.1%
46.6%47.2%
-13.3-17.1
Simmonds
27:4144.0%26.4%
46.0%46.8%
-2.0-20.4
Kahun
20:2438.2%45.6%
46.1%46.3%
-7.9-0.7

Shift Profile

Shift length and on-ice results, 2019–20 regular season. Empty-net goals against are left out. 69 of 69 games have shift data.

What do Short %, Hemmed-In Shifts, Long-Change Gap etc. mean?
GP (shifts)
Games in which the NHL shift chart has rows for this skater. It can read lower than the games played in the Skaters table, because a game with no usable shift chart is left out of every column here.
Short / Long
"Short" is a skater's shifts under 0:45; "Long" is their shifts of 1:00 or more. Short % / Long % is the share of all their shifts that fall in that range.
CF% (short) / CF% (long)
Shot-attempt share (Corsi) specifically during a skater's own short shifts versus their own long shifts. Compares whether they generate or allow more when the shift is quick versus when it drags on.
GF-GA (long)
Goals for minus goals against specifically during a skater's shifts of 1:00 or more. A single-game or short-series number here is a very small sample; look for it to hold up across a season.
PP Shifts / PK Shifts
Number of shifts a skater started while their team had a power play or was shorthanded, tagged by the strength in effect at the moment they stepped on the ice.
Long-Change Gap
This skater's average 2nd-period shift length minus the average of their 1st and 3rd. Positive means their shifts really do run longer in the 2nd, but that period is the "long change" (the bench sits at center ice, so whichever team is defending the far end can't change on the fly as easily), so a positive gap isn't automatically fatigue.
Hemmed-In Shifts
Even-strength shifts in which the unit was on for more than 60 seconds of unbroken play: no whistle came, so they could not change. The number in parentheses is how many of those only ended at a whistle. Most of such a shift is ordinary play: the first minute looks like any other stretch of the game, and only the time past it tilts hard toward the defending end (the game page counts that as pinned time). Shift length is an outcome here, not a cause, so this column says nothing about why a goal went in.
Short-Rest Shifts
Even-strength shifts a skater started after less than 45 seconds on the bench, same period only (an intermission is a full rest). Power-play and penalty-kill units legitimately take long shifts and short rests, so both of these columns leave them out.
PlayerGP (shifts)ShiftsAvg ShiftShort %Long %CF% (short)CF% (long)GF-GA (long)PP ShiftsPK ShiftsLong-Change GapHemmed-In ShiftsShort-Rest Shifts
R. Ristolainen6917780:5337.4%35.5%46.0%47.0%+12164194+4s275 (71 to whistle)164
S. Reinhart6915980:5336.9%32.0%51.1%66.5%+2016871+3s217 (53 to whistle)94
J. Eichel6815960:5635.7%35.3%49.0%64.7%+29146117+3s249 (74 to whistle)90
H. Jokiharju6915240:4747.8%23.9%46.4%44.1%-578138+2s204 (50 to whistle)80
J. McCabe6614710:5043.3%28.6%48.2%38.2%-644179+8s234 (57 to whistle)87
Z. Girgensons6913230:4354.2%16.3%42.5%34.8%-856228+4s124 (28 to whistle)56
M. Johansson6012590:4943.1%27.2%53.7%59.7%+813771+4s179 (40 to whistle)52
J. Larsson6212260:4547.0%20.6%42.6%40.2%-261192+3s152 (47 to whistle)48
R. Dahlin5912170:5634.5%39.1%49.7%65.1%+2012249+2s259 (72 to whistle)74
B. Montour5412160:5238.2%34.1%44.8%45.6%-184104+2s245 (74 to whistle)95
J. Vesey6411910:4551.7%20.3%47.6%45.2%+560122+4s155 (41 to whistle)55
V. Olofsson5411630:5141.3%27.3%49.3%64.3%+1613360+2s126 (31 to whistle)62
J. Skinner5911460:5140.3%30.6%53.8%57.6%+713028+6s194 (49 to whistle)52
C. Miller5110660:4940.3%27.2%50.0%51.7%+610360+4s178 (52 to whistle)65
C. Sheary559260:4646.0%22.4%54.0%49.8%-110821+8s125 (27 to whistle)39
K. Okposo528880:4546.3%19.8%51.4%51.0%-26726+4s116 (28 to whistle)34
C. Lazar386810:4061.7%10.6%47.8%19.6%-115100+3s45 (6 to whistle)36
M. Scandella316610:4747.5%23.3%46.3%41.9%-12482+5s78 (18 to whistle)38
E. Rodrigues385950:4353.1%17.8%53.1%45.7%-44245+1s67 (16 to whistle)19
C. Mittelstadt315330:4547.8%20.3%50.2%45.6%+27213+6s55 (13 to whistle)21
R. Asplund294450:4256.6%15.5%46.0%31.8%+21683+2s45 (9 to whistle)11
Z. Bogosian193770:5140.6%28.1%49.1%36.3%0651+2s60 (16 to whistle)13
M. Frolik193360:4648.5%19.6%41.3%30.8%0650+4s47 (8 to whistle)10
V. Sobotka162990:4647.2%19.7%43.8%36.2%-1349+9s39 (11 to whistle)8
L. Pilut132680:4750.7%20.9%45.3%29.1%-11026+10s37 (11 to whistle)10
W. Simmonds71160:4650.0%19.0%68.9%44.4%-2162+7s13 (3 to whistle)3
D. Kahun6970:4450.5%17.5%49.0%38.5%-160+11s14 (2 to whistle)4
S. Wilson6960:4449.0%19.8%51.4%51.7%0104+2s8 (3 to whistle)4
J. Gilmour4910:4547.3%19.8%48.8%57.1%0110+7s12 (5 to whistle)8
J. Dea3310:4445.2%9.7%58.3%0.0%010-1s20
T. Thompson1110:3872.7%0.0%66.7%0000s00
D. Smith140:22100.0%0.0%100.0%000-31s00

Skaters

PlayerNo.GPGAPTS+/-PIMPPSHGWGSOGG/60A/60P/60SOG/60S%FO%TOI/GxGxG/60GAx
Jack Eichel968364278+53411192271.441.683.119.0615.9%46.8%22:0623.90.95+12.1
Sam Reinhart2369222850-15205021440.931.182.116.0715.3%35.7%20:3819.60.82+2.4
Victor Olofsson7154202242-1611041271.211.332.547.6815.7%50.0%18:2315.40.93+4.6
Rasmus Dahlin265943640-738201900.211.902.114.744.4%0.0%19:186.20.33-2.2
Rasmus Ristolainen556962733-2462001280.231.031.264.884.7%0.0%22:486.60.25-0.6
Marcus Johansson906092130-1220101870.521.221.755.0710.3%40.0%17:098.40.49+0.6
Jeff Skinner535914923-22180011830.860.561.4211.297.7%37.2%16:2917.51.08-3.5
Jimmy Vesey136491120+1215012930.610.751.366.329.7%0.0%13:4812.90.87-3.9
Kyle Okposo215291019-328102820.810.901.717.3611.0%53.5%12:518.90.80+0.1
Zemgus Girgensons286912719-110011850.760.441.205.3614.1%41.1%13:4811.50.73+0.5
Conor Sheary435591019-48101880.760.841.617.4310.2%25.0%12:5510.70.91-1.7
Johan Larsson226261218+826000600.390.781.173.9010.0%48.2%14:546.40.42-0.4
Brandon Montour625451318+1328000860.280.741.034.905.8%0.0%19:304.60.26+0.4
Henri Jokiharju106941115-632100780.200.560.763.945.1%0.0%17:132.80.14+1.2
Jake McCabe196631013-1141011750.150.490.643.684.0%0.0%18:322.40.12+0.6
Colin Miller335111011-922001790.070.690.765.421.3%0.0%17:083.30.23-2.3
Curtis Lazar27385510-39000330.670.671.334.4015.2%51.2%11:504.20.57+0.8
Marco Scandella631369+98000390.350.701.054.557.7%0.0%16:361.60.18+1.4
Evan Rodrigues7138549-810101640.700.561.268.937.8%45.5%11:195.00.700.0
Casey Mittelstadt3731459-52101340.610.761.375.1611.8%46.5%12:464.70.72-0.7
Zach Bogosian419145010000180.190.750.943.385.6%0.0%16:501.20.22-0.2
Michael Frolik6719134-24010260.230.700.946.103.8%41.7%13:283.10.72-2.1
Dominik Kahun956224+2000081.681.683.366.7325.0%14.3%11:531.00.86+1.0
Vladimir Sobotka1716123+24000230.260.530.796.054.3%55.7%14:161.50.40-0.5
Rasmus Asplund7429123-46000360.190.380.576.872.8%43.0%10:503.50.67-2.5
Scott Wilson206112+1200080.860.861.726.8812.5%0.0%11:380.50.46+0.5
Wayne Simmonds177011-4200090.000.680.686.090.0%0.0%12:400.90.60-0.9
Dalton Smith771000+1200000.0%1:26
John Gilmour584000-2000050.000.000.004.400.0%0.0%17:030.30.27-0.3
Jean-Sebastien Dea3830000000000.000.000.000.0050.0%7:380.00.030.0
Tage Thompson7210000000000.000.000.000.000.0%6:590.10.430.0
Lawrence Pilut2013000-4400060.000.000.001.710.0%0.0%16:140.30.09-0.3
Total1933145074553752820219.5%

Goalies

PlayerNo.GPWLOTLGAASV%SOxGAGSAx
Linus Ullmark3534171432.69.915196.5+5.5
Carter Hutton4031121443.18.898282.8-11.2
Jonas Johansson3461312.94.894012.4-3.6
Total303183

A goalie is credited a game played for any appearance, relief included, so GP sums above the team's own games played by the number of relief outings. The Total row leaves GP out for that reason.

xG by Game

DateOpponentScorexG ForxG AgainstxG DiffGoal DiffGD vs xG Diff
Oct 3@ PIT3-13.551.77+1.78+2+0.22
Oct 5vs NJD7-23.132.18+0.95+5+4.05
Oct 7@ CBJ3-41.603.07-1.47-1+0.47
Oct 9vs MTL5-42.773.03-0.26+1+1.26
Oct 11vs FLA3-23.173.99-0.820+0.82
Oct 14vs DAL4-01.661.56+0.10+4+3.90
Oct 16@ ANA2-53.113.58-0.47-3-2.53
Oct 17@ LAK3-02.114.35-2.24+3+5.24
Oct 19@ SJS4-32.973.09-0.12+1+1.12
Oct 22vs SJS4-33.882.76+1.12+1-0.12
Oct 24@ NYR2-63.142.41+0.73-4-4.73
Oct 25@ DET2-01.823.18-1.36+2+3.36
Oct 28vs ARI2-33.613.53+0.080-0.08
Nov 1@ WSH1-62.723.73-1.01-5-3.99
Nov 2vs NYI0-12.492.09+0.40-1-1.40
Nov 8vs TBL2-32.223.29-1.07-1+0.07
Nov 9@ TBL3-52.514.94-2.43-2+0.43
Nov 14vs CAR4-52.832.15+0.68-1-1.68
Nov 16vs OTT4-24.152.08+2.07+2-0.07
Nov 17@ CHI1-42.543.33-0.79-3-2.21
Nov 19vs MIN1-42.173.30-1.13-3-1.87
Nov 21@ BOS2-33.922.75+1.17-1-2.17
Nov 24@ FLA5-22.113.60-1.49+3+4.49
Nov 25@ TBL2-53.763.70+0.06-3-3.06
Nov 27vs CGY2-34.452.48+1.97-1-2.97
Nov 29vs TOR6-43.133.50-0.37+2+2.37
Nov 30@ TOR1-22.862.77+0.09-1-1.09
Dec 2vs NJD7-12.613.04-0.43+6+6.43
Dec 5@ CGY3-42.803.95-1.15-1+0.15
Dec 7@ VAN5-62.612.62-0.01-1-0.99
Dec 8@ EDM3-22.523.10-0.58+1+1.58
Dec 10vs STL5-23.371.65+1.72+3+1.28
Dec 12vs NSH4-32.932.65+0.28+1+0.72
Dec 14@ NYI2-32.132.16-0.03-1-0.97
Dec 17@ TOR3-52.364.30-1.94-2-0.06
Dec 19@ PHI1-61.032.88-1.85-5-3.15
Dec 21vs LAK3-22.922.43+0.49+1+0.51
Dec 23@ OTT1-33.372.74+0.63-2-2.63
Dec 27vs BOS0-32.823.84-1.02-3-1.98
Dec 29@ BOS2-32.222.93-0.71-1-0.29
Dec 31vs TBL4-63.744.88-1.14-2-0.86
Jan 2vs EDM3-22.802.58+0.22+1+0.78
Jan 4vs FLA3-22.233.25-1.02+1+2.02
Jan 9@ STL1-51.682.24-0.56-4-3.44
Jan 11vs VAN3-62.263.24-0.98-3-2.02
Jan 12@ DET5-12.802.18+0.62+4+3.38
Jan 14vs VGK4-22.502.72-0.22+2+2.22
Jan 16@ DAL4-13.892.66+1.23+3+1.77
Jan 18@ NSH1-22.403.46-1.06-1+0.06
Jan 28vs OTT2-52.074.52-2.45-3-0.55
Jan 30vs MTL1-31.973.72-1.75-2-0.25
Feb 1vs CBJ2-11.452.07-0.62+1+1.62
Feb 4vs COL1-62.261.89+0.37-5-5.37
Feb 6vs DET3-43.801.51+2.290-2.29
Feb 7@ NYR3-23.653.23+0.42+1+0.58
Feb 9vs ANA2-31.951.950.00-1-1.00
Feb 11vs DET3-22.561.97+0.59+1+0.41
Feb 13vs CBJ4-32.492.06+0.43+1+0.57
Feb 16vs TOR5-24.472.07+2.40+3+0.60
Feb 18@ OTT4-72.764.57-1.81-3-1.19
Feb 22@ PIT5-22.503.86-1.36+3+4.36
Feb 23vs WPG2-12.022.41-0.39+1+1.39
Feb 26@ COL2-32.823.81-0.99-1-0.01
Feb 28@ VGK2-42.773.78-1.01-2-0.99
Feb 29@ ARI2-51.933.45-1.52-3-1.48
Mar 3@ WPG1-32.552.66-0.11-2-1.89
Mar 5vs PIT2-42.993.73-0.74-2-1.26
Mar 7@ PHI1-33.543.29+0.25-2-2.25
Mar 9vs WSH3-22.252.66-0.410+0.41

All situations. GD vs xG Diff is goal differential minus xG differential. Both difference columns are taken from the values printed beside them, so each row adds up as shown.