Team Stats

2018–19 Regular Season

Coach: Phil Housley
Total Players: 34
Related2018–19 game results2018–19 standings
Season Summary

33-39-10, 76 points, a -47 goal differential.

PDO
0.987 at 5v5; about 0.998 is sustainable
BEST LINE
Pominville–Skinner–Eichel, 55.8% of 5v5 xG and 22-15 on goals
BEST PAIR
Montour–Dahlin, 52.7% of 5v5 xG and 4-3 on goals
PENALTIES
Drew 277, took 257 (+20)
Team Totals
221
268
-47
19.5%
80.9%
47.9%
3.27
7.2%
.915
0.987
GF
GA
DIFF
PP%
PK%
FO%
GAA
S% (5v5)
SV% (5v5)
PDO (5v5)
NHL
23rd
24th
26th
16th
12th
27th
24th
27th
25th
27th
CONF
14th
11th
13th
8th
6th
13th
11th
15th
12th
14th
DIV
8th
5th
6th
6th
3rd
8th
5th
8th
6th
7th
ALL-TIME
14th pct
17th pct
14th pct
55th pct
36th pct
52nd pct
38th pct
38th pct

All-time is where 2018–19 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.

Pominville–Skinner–Eichel
Best Line
55.8% of xG (10.75 to 8.51), 22-15 on goals and 269-225 on attempts in 246:38 together. Pominville, Skinner and Eichel scored 20 goals with the line out.
Montour–Dahlin
Best D Pair
52.7% of xG (4.53 to 4.06), 4-3 on goals and 135-100 on attempts in 118:43 together. Small sample.
Goal differential
LEAGUE MED +10BUF -47-60+98
One dot per NHL team.
PDO (5v5)
LEAGUE MED 0.999BUF 0.9870.9841.022
One dot per NHL team.
Team Leaders

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.

X axis:
Y axis:
Forwards Defense
0.08.617.225.734.3011223243Expected goals (ixG)Goals

32 skaters shown.

More cuts on the Stats Playground scatter.

Goalies: Goals Against vs xGA

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

xGAGoals Against
03979118157Carter HuttonCarter Hutton: 141.2 xGACarter Hutton: 142 Goals Against (-0.8 vs expected)142 / 141.2Linus UllmarkLinus Ullmark: 101.9 xGALinus Ullmark: 109 Goals Against (-7.1 vs expected)109 / 101.9
Games 1 (Oct 4) to 82 (Apr 6)

82 games.

Expected Goals

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

through 82 of 82 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.

-23.8-11.0+1.7Oct 4Oct 20Nov 4Nov 21Dec 4Dec 21Jan 8Jan 30Feb 15Mar 1Mar 16Mar 30vs BOS 0-4 Lvs NYR 3-1 Wvs VGK 4-2 Wvs COL 1-6 L@ ARI 3-0 W@ VGK 1-4 L@ SJS 1-5 L@ LAK 5-1 W@ ANA 4-2 Wvs MTL 4-3 W@ CBJ 4-5 Lvs CGY 1-2 L@ OTT 2-4 Lvs OTT 9-2 W@ NYR 1-3 L@ MTL 6-5 Wvs VAN 4-3 Wvs TBL 2-1 W@ WPG 2-1 W@ MIN 3-2 W@ PIT 5-4 Wvs PHI 5-2 Wvs MTL 3-2 W@ DET 3-2 Wvs SJS 3-2 W@ TBL 4-5 L@ FLA 2-3 L@ NSH 1-2 Lvs TOR 3-4 Lvs PHI 2-6 Lvs LAK 4-3 Wvs ARI 3-1 W@ WSH 3-4 L@ BOS 4-2 Wvs FLA 2-5 L@ WSH 1-2 Lvs ANA 3-0 W@ STL 1-4 Lvs BOS 2-3 Lvs NYI 1-3 Lvs FLA 4-3 W@ BOS 1-2 Lvs NJD 5-1 W@ CAR 3-4 Lvs TBL 3-5 L@ EDM 2-7 L@ CGY 4-3 W@ VAN 3-4 L@ CBJ 5-4 W@ DAL 0-1 Lvs CHI 3-7 Lvs MIN 5-4 Wvs CAR 5-6 Lvs DET 3-1 Wvs WPG 1-3 Lvs NYI 3-1 Wvs NYR 2-6 L@ NJD 1-4 L@ FLA 2-4 L@ TBL 1-2 Lvs WSH 5-2 W@ TOR 3-5 L@ PHI 2-5 Lvs PIT 4-3 W@ TOR 2-5 Lvs EDM 3-4 L@ CHI 4-5 L@ COL 0-3 Lvs DAL 0-2 Lvs PIT 0-5 L@ CAR 2-4 Lvs STL 4-3 Wvs TOR 2-4 L@ MTL 4-7 L@ NJD 1-3 L@ OTT 0-4 Lvs DET 4-5 L@ NYI 1-5 Lvs CBJ 0-4 Lvs NSH 2-3 Lvs OTT 5-2 W@ DET 7-1 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.

33-49 in 82 decided games, 2018–19 regular season, with 10 of those losses in overtime or a shootout.
Wins (33)Losses (49, 10 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 (33)LOSSES (49)
Forward goals3.301.57
Defense goals0.670.27
Forward points7.763.61
Defense points2.821.45
Different goal scorers3.451.67
D share of points27%29%
D share of shots28%29%

Goal Differential Breakdown

Buffalo finished -47 over 82 games. Biggest pieces: even-strength shot quality -16.3, finishing -15.8.

Added goalsCost goalsGoal differentialWhisker: one standard deviation of shot-outcome noise.
-60-40-200Goals0Start-1.7Even-strengthshot volume-16.3Even-strengthshot quality+2.5Penaltydifferential+5.2Power playefficiency-4.7Penalty killefficiency-15.8Finishing-8.3Goaltending-8.0Goaliepulled+0.1Unmodeled-47Goaldifferential
2018–19 REGULAR SEASON, GOALS
COMPONENTGOALSNOISE (ONE SD)REPEATS
Even-strength shot volume-1.7±4.4Usually
Even-strength shot quality-16.3n/aUsually
Penalty differential+2.5n/aSometimes
Power play efficiency+5.2n/aUsually
Penalty kill efficiency-4.7n/aUsually
Finishing-15.8±13.9Sometimes
Goaltending-8.3±14.3Sometimes
Goalie pulled-8.0n/aNot a skill
Unmodeled+0.1n/an/a
Goal differential-47n/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.
  • 221 for, 268 against, regulation and overtime; the rows sum to the goal differential before rounding.
  • Built from 82 of 82 games with xG data; the official goal differential was -47.
  • Even-strength volume is priced at the league's average even-strength attempt for the season (0.0570 xG in 2018-19), and penalty differential at the league's net xG per power-play minute (0.078), both measured over every game in the league with the same model. Over the games covered, Buffalo's own games averaged 0.0618 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 -7.9 against -8.3 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. 82 of 82 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: Pominville–Skinner–Eichel, 55.8% of xG and 22-15 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
Skinner–Reinhart–Eichel57533:2121.3221.7049.6%282157152752.0%2.2%2.5%457420342311
Pominville–Skinner–Eichel26246:3810.758.5155.8%221526922554.5%4.7%8.9%212174158131
Okposo–Larsson–Girgensons20174:013.755.3541.2%8413914049.8%-0.3%-6.5%1091127583
Okposo–Sheary–Mittelstadt25156:045.694.5355.7%7812914946.4%-3.9%8.5%1061178276
Berglund–Larsson–Girgensons15120:163.812.7658.1%351158457.8%7.9%10.8%83636249
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Defense Pairs
Best at 5v5: Montour–Dahlin, 52.7% of xG and 4-3 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
Bogosian–Dahlin56545:0717.5018.1449.1%232355049452.7%3.0%1.8%416380300284
McCabe–Ristolainen43477:2716.9816.1051.3%162443846548.5%-1.8%4.3%353349268264
Scandella–Ristolainen42284:457.2311.0739.5%101722931342.3%-8.4%-8.6%174240128165
Ristolainen–Pilut21219:468.576.4257.1%81022818555.2%5.4%10.1%180146133111
Ristolainen–Dahlin60214:098.107.0153.6%9919921648.0%-2.2%6.4%156171122126
Bogosian–Scandella32190:297.497.6449.5%10918320047.8%-2.4%2.1%155162122118
Nelson–Dahlin30136:384.693.3658.3%4715011656.4%6.5%11.1%114828755
Scandella–Nelson15129:312.603.4842.8%519310347.4%-2.8%-4.8%69814854
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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. 2018–19 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. 82 of 82 games have shift data.

Teammate
TOGETHER
RISTOLAINEN APART
IMPACT
TOI TogetherCF%xGF%CF%xGF%Δ CF%Δ xGF%
McCabe
479:2548.0%50.5%
47.9%47.0%
+0.1+3.5
Skinner
456:2949.0%52.5%
47.4%45.5%
+1.6+7.0
Eichel
452:3948.3%52.6%
47.8%45.4%
+0.5+7.2
Reinhart
437:5250.9%51.1%
46.5%46.5%
+4.4+4.6
Sheary
324:1251.9%49.9%
46.8%47.8%
+5.1+2.1
Rodrigues
314:1949.2%44.0%
47.6%49.5%
+1.6-5.5
Pominville
307:4346.6%47.8%
48.3%48.4%
-1.7-0.6
Sobotka
297:4143.3%43.3%
49.2%49.4%
-5.9-6.1
Okposo
292:2147.2%48.0%
48.1%48.3%
-0.9-0.3
Larsson
291:3547.2%46.2%
48.1%48.6%
-0.9-2.4
Scandella
286:2341.0%38.5%
49.8%50.6%
-8.8-12.1
Girgensons
273:2747.7%50.0%
48.0%47.9%
-0.3+2.1
Thompson
245:5444.2%39.1%
48.7%50.1%
-4.5-11.0
Mittelstadt
244:0146.8%43.6%
48.2%49.0%
-1.4-5.4
Pilut
220:5855.0%57.0%
46.6%46.6%
+8.4+10.4
Dahlin
214:4147.4%52.9%
48.0%47.3%
-0.6+5.6
Bogosian
106:3642.4%35.3%
48.4%49.4%
-6.0-14.1
Berglund
90:5051.4%52.2%
47.8%48.0%
+3.6+4.2
Wilson
49:4745.9%51.4%
48.0%48.1%
-2.1+3.3
Elie
46:5334.5%34.4%
48.4%48.6%
-13.9-14.2
Hunwick
34:2461.4%43.5%
47.6%48.3%
+13.8-4.8
Smith
30:3360.9%36.4%
47.7%48.5%
+13.2-12.1
Nylander
27:2258.5%32.4%
47.7%48.6%
+10.8-16.2
Beaulieu
21:4755.3%51.4%
47.8%48.2%
+7.5+3.2
Nelson
21:4527.3%16.1%
48.3%48.7%
-21.0-32.6

Shift Profile

Shift length and on-ice results, 2018–19 regular season. Empty-net goals against are left out. 82 of 82 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. Ristolainen7820760:5635.3%37.4%45.0%53.1%+8188225+3s346 (93 to whistle)235
R. Dahlin8219050:5536.4%38.1%48.3%61.0%+1919873+4s391 (98 to whistle)183
J. Eichel7717560:5437.0%35.6%49.7%61.6%+20187135+4s285 (79 to whistle)91
S. Reinhart8217300:5433.9%36.2%53.4%61.4%+1520758+3s317 (76 to whistle)75
J. Skinner8217210:5337.5%34.5%53.0%61.8%+1621058+4s314 (80 to whistle)76
Z. Bogosian6515740:5436.9%36.0%47.8%40.4%-684205+1s314 (85 to whistle)129
E. Rodrigues7415280:4647.4%23.4%50.4%49.8%0132202+3s188 (50 to whistle)72
C. Sheary7814800:4644.5%24.4%51.5%55.0%-117027+4s196 (48 to whistle)49
M. Scandella6314100:4747.1%23.5%43.4%38.9%-538176+5s164 (48 to whistle)112
J. Larsson7313800:4548.4%23.6%44.4%39.5%-335261+3s184 (49 to whistle)48
J. McCabe5913640:4943.1%26.8%47.9%40.3%-235153+5s203 (57 to whistle)102
K. Okposo7813610:4744.6%26.8%53.9%56.0%017220+4s213 (50 to whistle)42
C. Mittelstadt7713330:4745.3%25.4%51.4%53.8%-416221+4s179 (35 to whistle)31
V. Sobotka6913200:4449.9%21.2%42.2%35.7%-939206+2s171 (39 to whistle)50
Z. Girgensons7213060:4549.9%21.0%45.4%35.4%+143267+2s168 (43 to whistle)36
J. Pominville7312320:4449.9%18.6%49.5%56.6%+310125+3s136 (35 to whistle)54
T. Thompson6510310:4644.9%24.4%46.2%49.3%-69616+2s177 (34 to whistle)38
C. Nelson387520:4746.9%24.3%45.8%48.2%-21174+4s117 (25 to whistle)56
L. Pilut337140:4846.9%27.3%50.0%53.8%03722+5s122 (45 to whistle)52
N. Beaulieu305760:4649.3%25.0%50.3%45.7%+32447+1s94 (28 to whistle)43
B. Montour204910:5336.3%36.0%49.8%56.5%-43934-1s105 (31 to whistle)54
P. Berglund234120:4453.2%17.7%40.7%48.8%+12948+1s40 (7 to whistle)12
M. Hunwick142800:4746.1%22.9%47.9%41.1%-6629+7s34 (8 to whistle)14
S. Wilson152450:4253.9%13.9%47.4%36.7%-2333+3s20 (6 to whistle)8
R. Elie162350:4254.5%14.9%42.4%25.4%-2729+2s25 (4 to whistle)6
A. Nylander121900:4640.5%27.4%46.5%63.1%+3133+4s28 (11 to whistle)2
C. Smith111570:4546.5%19.7%46.5%43.8%+137+8s23 (7 to whistle)5
V. Olofsson61250:5230.4%33.6%66.7%57.0%+1113-1s27 (5 to whistle)6
W. Borgen4910:4458.2%18.7%51.9%63.2%-126+5s12 (4 to whistle)8
M. Tennyson4630:4158.7%14.3%56.5%31.6%-116-4s7 (5 to whistle)3
B. Guhle2360:3955.6%8.3%35.3%28.6%011+9s2 (1 to whistle)4
D. O'Regan1150:4833.3%20.0%66.7%100.0%010+9s22

Skaters

PlayerNo.GPGAPTS+/-PIMPPSHGWGSOGG/60A/60P/60SOG/60S%FO%TOI/GxGxG/60GAx
Jack Eichel977285482-11268023031.072.063.1311.559.2%47.0%20:2630.01.15-2.0
Sam Reinhart2382224365-10162011800.851.662.516.9512.2%35.6%18:5725.40.98-3.4
Jeff Skinner53824023630368072681.580.912.4910.5914.9%52.2%18:3131.81.26+8.2
Rasmus Dahlin268293544-13345041770.311.211.526.125.1%0.0%21:0910.40.36-1.4
Rasmus Ristolainen557853843-41381021820.161.191.345.682.7%0.0%24:3810.10.31-5.1
Conor Sheary4378142034-18124031470.741.051.797.739.5%55.9%14:3716.40.86-2.4
Jason Pominville2973161531-441031341.060.992.048.8411.9%51.4%12:2813.90.91+2.1
Kyle Okposo2178141529-9417021470.780.841.628.209.5%47.0%13:4712.30.69+1.7
Evan Rodrigues717492029-7252011680.461.021.498.615.4%46.4%15:4911.70.60-2.7
Casey Mittelstadt3777121325-19103011180.700.751.456.8410.2%39.7%13:2713.40.78-1.4
Zach Bogosian46531619-552010930.130.680.813.973.2%0.0%21:384.40.19-1.4
Zemgus Girgensons287251318-1117000780.310.801.104.786.4%40.6%13:378.20.50-3.2
Johan Larsson22736814-837010790.350.460.814.547.6%50.6%14:188.80.51-2.8
Jake McCabe195941014-435010640.210.540.753.446.3%0.0%18:574.00.220.0
Vladimir Sobotka17695813-2026000710.310.490.804.357.0%51.9%14:115.90.36-0.9
Marco Scandella6636713-1326001830.320.380.704.497.2%0.0%17:373.20.17+2.8
Tage Thompson72657512-22201001080.530.380.918.226.5%50.0%12:089.50.73-2.5
Brandon Montour62203710-416100550.410.961.387.585.5%0.0%21:462.30.32+0.7
Nathan Beaulieu8230347+132000350.410.540.954.768.6%0.0%14:421.40.19+1.6
Casey Nelson838156+113000370.100.510.613.792.7%0.0%15:251.20.13-0.2
Lawrence Pilut2033156-820000370.100.520.633.862.7%0.0%17:251.40.14-0.4
Patrik Berglund1023224-56000250.400.400.805.008.0%58.6%13:033.40.68-1.4
Victor Olofsson716224+12200211.111.112.2211.669.5%0.0%18:011.70.93+0.3
Alex Nylander9212224-44100160.820.821.646.5612.5%66.7%12:121.90.79+0.1
Scott Wilson2015033-84000250.001.051.058.730.0%33.3%11:271.40.49-1.4
Matt Hunwick4814022-74000100.000.550.552.730.0%0.0%15:410.40.12-0.4
C.J. Smith491120200001181.020.001.029.2211.1%0.0%10:391.30.67+0.7
Remi Elie8116011-3200090.000.360.363.260.0%100.0%10:210.90.34-0.9
Matt Tennyson54000-4000040.000.000.005.580.0%0.0%10:450.10.17-0.1
Danny O'Regan6510000000020.000.000.0010.060.0%100.0%11:560.42.21-0.4
Brendan Guhle452000+1200010.000.000.002.570.0%0.0%11:410.00.080.0
Will Borgen34000-5000020.000.000.001.810.0%0.0%16:330.00.040.0
Total2213765975604632826978.2%

Goalies

PlayerNo.GPWLOTLGAASV%SOxGAGSAx
Carter Hutton4050182553.00.9080141.2-0.8
Linus Ullmark3537151453.11.9052101.9-7.1
Total3339102

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 4vs BOS0-42.733.96-1.23-4-2.77
Oct 6vs NYR3-13.442.86+0.58+2+1.42
Oct 8vs VGK4-21.612.71-1.10+2+3.10
Oct 11vs COL1-63.543.04+0.50-5-5.50
Oct 13@ ARI3-02.293.28-0.99+3+3.99
Oct 16@ VGK1-42.363.94-1.58-3-1.42
Oct 18@ SJS1-53.255.34-2.09-4-1.91
Oct 20@ LAK5-13.071.96+1.11+4+2.89
Oct 21@ ANA4-24.902.25+2.65+2-0.65
Oct 25vs MTL4-33.871.85+2.02+1-1.02
Oct 27@ CBJ4-53.474.01-0.54-1-0.46
Oct 30vs CGY1-22.293.19-0.90-1-0.10
Nov 1@ OTT2-42.763.73-0.97-2-1.03
Nov 3vs OTT9-23.642.03+1.61+7+5.39
Nov 4@ NYR1-34.972.33+2.64-2-4.64
Nov 8@ MTL6-51.993.84-1.85+1+2.85
Nov 10vs VAN4-32.752.02+0.730-0.73
Nov 13vs TBL2-11.413.44-2.03+1+3.03
Nov 16@ WPG2-12.242.49-0.250+0.25
Nov 17@ MIN3-23.153.28-0.13+1+1.13
Nov 19@ PIT5-43.373.74-0.37+1+1.37
Nov 21vs PHI5-22.722.38+0.34+3+2.66
Nov 23vs MTL3-23.532.08+1.45+1-0.45
Nov 24@ DET3-23.833.14+0.690-0.69
Nov 27vs SJS3-22.833.41-0.58+1+1.58
Nov 29@ TBL4-51.484.72-3.24-1+2.24
Nov 30@ FLA2-31.513.93-2.42-1+1.42
Dec 3@ NSH1-22.653.08-0.43-1-0.57
Dec 4vs TOR3-42.633.30-0.67-1-0.33
Dec 8vs PHI2-63.003.23-0.23-4-3.77
Dec 11vs LAK4-33.412.45+0.96+1+0.04
Dec 13vs ARI3-13.541.94+1.60+2+0.40
Dec 15@ WSH3-43.043.87-0.830+0.83
Dec 16@ BOS4-22.844.40-1.56+2+3.56
Dec 18vs FLA2-52.623.44-0.82-3-2.18
Dec 21@ WSH1-23.192.61+0.58-1-1.58
Dec 22vs ANA3-03.202.36+0.84+3+2.16
Dec 27@ STL1-42.774.76-1.99-3-1.01
Dec 29vs BOS2-33.224.33-1.11-1+0.11
Dec 31vs NYI1-32.584.38-1.80-2-0.20
Jan 3vs FLA4-33.422.34+1.08+1-0.08
Jan 5@ BOS1-21.674.32-2.65-1+1.65
Jan 8vs NJD5-12.422.32+0.10+4+3.90
Jan 11@ CAR3-43.543.52+0.02-1-1.02
Jan 12vs TBL3-52.442.83-0.39-2-1.61
Jan 14@ EDM2-73.473.05+0.42-5-5.42
Jan 16@ CGY4-32.072.56-0.49+1+1.49
Jan 18@ VAN3-43.381.84+1.54-1-2.54
Jan 29@ CBJ5-43.963.46+0.50+1+0.50
Jan 30@ DAL0-11.742.32-0.58-1-0.42
Feb 1vs CHI3-73.862.95+0.91-4-4.91
Feb 5vs MIN5-42.834.02-1.190+1.19
Feb 7vs CAR5-63.813.12+0.69-1-1.69
Feb 9vs DET3-11.682.01-0.33+2+2.33
Feb 10vs WPG1-33.572.95+0.62-2-2.62
Feb 12vs NYI3-13.052.16+0.89+2+1.11
Feb 15vs NYR2-63.653.09+0.56-4-4.56
Feb 17@ NJD1-42.642.24+0.40-3-3.40
Feb 19@ FLA2-42.563.46-0.90-2-1.10
Feb 21@ TBL1-22.333.99-1.660+1.66
Feb 23vs WSH5-24.542.06+2.48+3+0.52
Feb 25@ TOR3-54.103.43+0.67-2-2.67
Feb 26@ PHI2-52.073.18-1.11-3-1.89
Mar 1vs PIT4-33.064.23-1.17+1+2.17
Mar 2@ TOR2-52.503.22-0.72-3-2.28
Mar 4vs EDM3-43.112.62+0.49-1-1.49
Mar 7@ CHI4-53.354.74-1.390+1.39
Mar 9@ COL0-31.424.61-3.19-3+0.19
Mar 12vs DAL0-22.081.80+0.28-2-2.28
Mar 14vs PIT0-51.722.63-0.91-5-4.09
Mar 16@ CAR2-42.923.56-0.64-2-1.36
Mar 17vs STL4-33.643.04+0.600-0.60
Mar 20vs TOR2-42.294.61-2.32-2+0.32
Mar 23@ MTL4-72.184.43-2.25-3-0.75
Mar 25@ NJD1-33.062.28+0.78-2-2.78
Mar 26@ OTT0-42.723.38-0.66-4-3.34
Mar 28vs DET4-53.383.06+0.32-1-1.32
Mar 30@ NYI1-52.274.14-1.87-4-2.13
Mar 31vs CBJ0-42.543.23-0.69-4-3.31
Apr 2vs NSH2-32.112.67-0.56-1-0.44
Apr 4vs OTT5-23.160.99+2.17+3+0.83
Apr 6@ DET7-13.551.69+1.86+6+4.14

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.