Team Stats

2020–21 Regular Season*

* 56-game season, played in realigned divisions during the COVID-19 pandemic.

Coach: Ralph Krueger
Total Players: 39
Related2020–21 game results2020–21 standings
Season Summary

15-34-7, 37 points, a -62 goal differential.

PDO
0.978 at 5v5; about 0.997 is sustainable
BEST LINE
Asplund–Thompson–Mittelstadt, 50.1% of 5v5 xG and 5-6 on goals
BEST PAIR
McCabe–Ristolainen, 51.2% of 5v5 xG and 8-4 on goals
PENALTIES
Drew 161, took 157 (+4)
Team Totals
134
196
-62
21.0%
77.7%
49.6%
3.50
6.7%
.911
0.978
GF
GA
DIFF
PP%
PK%
FO%
GAA
S% (5v5)
SV% (5v5)
PDO (5v5)
NHL
28th
29th
31st
12th
26th
19th
29th
31st
26th
30th
DIV
8th
7th
8th
4th
5th
4th
7th
8th
7th
7th
ALL-TIME
6th pct
5th pct
5th pct
68th pct
16th pct
73rd pct
26th pct
21st pct

All-time is where 2020–21 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.

Asplund–Thompson–Mittelstadt
Best Line
50.1% of xG (6.33 to 6.29), 5-6 on goals and 132-171 on attempts in 176:59 together. Asplund, Thompson and Mittelstadt scored 5 goals with the line out. Small sample.
McCabe–Ristolainen
Best D Pair
51.2% of xG (4.12 to 3.93), 8-4 on goals and 127-103 on attempts in 138:38 together. McCabe and Ristolainen scored 2 goals with the pair out. Small sample.
Goal differential
LEAGUE MED 0BUF -62-62+68
One dot per NHL team.
PDO (5v5)
LEAGUE MED 0.998BUF 0.9780.9781.022
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. Dotted ring: goals more than 2 SD from xG, past finishing luck.

X axis:
Y axis:
Forwards Defense
0.04.28.412.716.907142027Expected goals (ixG)Goals

32 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
014294357Linus UllmarkLinus Ullmark: 51.6 xGALinus Ullmark: 49 Goals Against (+2.6 vs expected)49 / 51.6Ukko-Pekka LuukkonenUkko-Pekka Luukkonen: 13.8 xGAUkko-Pekka Luukkonen: 14 Goals Against (-0.2 vs expected)14 / 13.8Michael HouserMichael Houser: 11.7 xGAMichael Houser: 14 Goals Against (-2.3 vs expected)14 / 11.7Dustin TokarskiDustin Tokarski: 39.0 xGADustin Tokarski: 43 Goals Against (-4.0 vs expected)43 / 39.0Jonas JohanssonJonas Johansson: 18.6 xGAJonas Johansson: 24 Goals Against (-5.4 vs expected)24 / 18.6Carter HuttonCarter Hutton: 33.1 xGACarter Hutton: 39 Goals Against (-5.9 vs expected)39 / 33.1
Games 1 (Jan 14) to 56 (May 8)

56 games.

Expected Goals

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

through 56 of 56 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.

-36.4-16.7+3.0Jan 14Jan 24Feb 15Feb 23Mar 4Mar 13Mar 24Apr 1Apr 11Apr 20Apr 29May 8vs WSH 4-6 Lvs WSH 1-2 L@ PHI 6-1 W@ PHI 0-3 L@ WSH 3-4 L@ WSH 4-3 Wvs NYR 3-2 Wvs NYR 2-3 Lvs NJD 4-3 Wvs NJD 3-5 Lvs NYI 1-3 Lvs NYI 0-3 L@ WSH 1-3 L@ NJD 3-2 W@ NYI 2-3 L@ NJD 4-1 Wvs NJD 3-4 Lvs PHI 0-3 Lvs PHI 0-3 L@ NYR 2-3 L@ NYI 2-5 L@ NYI 2-5 L@ NYI 2-5 L@ PHI 4-5 Lvs PIT 2-5 Lvs PIT 0-3 Lvs WSH 0-6 L@ NJD 2-3 Lvs BOS 1-4 L@ NYR 3-5 L@ PIT 2-5 L@ PIT 0-4 L@ BOS 2-3 Lvs PHI 3-4 Lvs PHI 6-1 Wvs NYR 2-3 Lvs NYR 3-2 W@ NJD 5-3 Wvs NJD 3-6 Lvs WSH 3-4 L@ PHI 5-3 W@ BOS 2-3 L@ WSH 5-2 Wvs PIT 2-3 Lvs PIT 4-2 Wvs BOS 0-2 Lvs BOS 1-5 Lvs BOS 6-4 W@ NYR 3-6 L@ NYR 1-3 L@ BOS 2-5 L@ BOS 2-6 Lvs NYI 4-2 Wvs NYI 4-3 W@ PIT 4-8 L@ PIT 0-1 LGamexG 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.

15-41 in 56 decided games, 2020–21 regular season, with 7 of those losses in overtime or a shootout.
Wins (15)Losses (41, 7 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 (15)LOSSES (41)
Forward goals3.531.41
Defense goals0.600.34
Forward points7.603.56
Defense points2.801.20
Different goal scorers3.531.71
D share of points27%25%
D share of shots29%29%

Goal Differential Breakdown

Buffalo finished -62 over 56 games. Biggest pieces: even-strength shot volume -17.8, finishing -12.5.

Added goalsCost goalsGoal differentialWhisker: one standard deviation of shot-outcome noise.
-60-40-200Goals0Start-17.8Even-strengthshot volume-6.0Even-strengthshot quality+1.0Penaltydifferential-2.8Power playefficiency-5.4Penalty killefficiency-12.5Finishing-11.4Goaltending-7.0Goaliepulled-0.1Unmodeled-62Goaldifferential
2020–21 REGULAR SEASON, GOALS
COMPONENTGOALSNOISE (ONE SD)REPEATS
Even-strength shot volume-17.8±3.7Usually
Even-strength shot quality-6.0n/aUsually
Penalty differential+1.0n/aSometimes
Power play efficiency-2.8n/aUsually
Penalty kill efficiency-5.4n/aUsually
Finishing-12.5±10.8Sometimes
Goaltending-11.4±12.0Sometimes
Goalie pulled-7.0n/aNot a skill
Unmodeled-0.1n/an/a
Goal differential-62n/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.
  • 134 for, 196 against, regulation and overtime; the rows sum to the goal differential before rounding.
  • Built from 56 of 56 games with xG data; the official goal differential was -62.
  • Even-strength volume is priced at the league's average even-strength attempt for the season (0.0582 xG in 2020-21), and penalty differential at the league's net xG per power-play minute (0.077), both measured over every game in the league with the same model. Over the games covered, Buffalo's own games averaged 0.0622 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 -15.2 against -11.4 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. 56 of 56 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: Asplund–Thompson–Mittelstadt, 50.1% of xG and 5-6 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
Asplund–Thompson–Mittelstadt17176:596.336.2950.1%5613217143.6%-3.3%5.6%11214889113
Skinner–Reinhart–Olofsson18149:254.795.5246.5%8614014848.6%2.0%1.7%1051178282
Okposo–Eakin–Rieder20136:173.657.3633.2%3810114740.7%-6.3%-12.5%781215988
Sheahan–Skinner–Lazar17128:113.013.3047.7%4410411447.7%1.0%2.9%84905160
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Defense Pairs
Best at 5v5: McCabe–Ristolainen, 51.2% of xG and 8-4 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
Jokiharju–Dahlin35432:1914.3513.5051.5%181737439148.9%2.6%7.8%293318233227
Miller–Dahlin27269:257.587.1651.4%41823022051.1%4.9%7.0%168179114131
Ristolainen–Bryson23261:455.4910.0935.2%91118725642.2%-4.9%-10.7%14221192158
Ristolainen–Samuelsson12171:155.186.6743.7%21212218439.9%-7.3%-1.3%9914978112
Miller–Montour28146:463.274.0944.4%3511213944.6%-2.2%-0.6%891016869
McCabe–Ristolainen10138:384.123.9351.2%8412710355.2%8.9%6.5%95816662
Montour–Jokiharju17127:424.405.1046.3%4311013445.1%-1.7%1.4%86996569
Montour–Dahlin23124:333.995.3642.7%2510412046.4%-0.3%-2.4%86956869
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With or Without You

Buffalo's 5v5 CF% and xGF% with Dahlin 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. 2020–21 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. 56 of 56 games have shift data.

Teammate
TOGETHER
DAHLIN APART
IMPACT
TOI TogetherCF%xGF%CF%xGF%Δ CF%Δ xGF%
Jokiharju
433:4149.1%51.6%
48.6%46.1%
+0.5+5.5
Reinhart
316:5250.8%46.2%
47.9%49.6%
+2.9-3.4
Olofsson
289:2648.0%41.6%
49.2%51.4%
-1.2-9.8
Miller
271:0250.9%51.2%
48.1%47.7%
+2.8+3.5
Skinner
234:4053.6%54.9%
47.3%46.6%
+6.3+8.3
Mittelstadt
191:3448.3%54.4%
48.9%47.1%
-0.6+7.3
Hall
187:4754.3%48.2%
47.4%48.7%
+6.9-0.5
Sheahan
181:0747.4%52.2%
49.2%47.7%
-1.8+4.5
Cozens
170:3948.9%44.8%
48.8%49.6%
+0.1-4.8
Thompson
169:4444.9%51.8%
49.7%47.7%
-4.8+4.1
Eichel
144:3653.0%45.0%
48.1%49.0%
+4.9-4.0
Eakin
142:5944.2%44.3%
49.6%49.2%
-5.4-4.9
Rieder
142:0047.4%45.6%
49.1%49.0%
-1.7-3.4
Staal
134:5349.6%41.0%
48.7%50.2%
+0.9-9.2
Asplund
126:2147.7%56.0%
49.0%47.3%
-1.3+8.7
Montour
125:2045.7%42.0%
49.3%49.7%
-3.6-7.7
Okposo
118:1944.3%44.2%
49.4%49.1%
-5.1-4.9
Lazar
103:2546.1%46.3%
49.1%48.8%
-3.0-2.5
Ristolainen
85:2445.5%37.2%
49.2%50.1%
-3.7-12.9
Bjork
77:1744.3%60.2%
49.2%47.7%
-4.9+12.5
Ruotsalainen
75:2647.1%49.9%
49.0%48.4%
-1.9+1.5
Caggiula
51:2351.9%67.2%
48.6%47.5%
+3.3+19.7
Fogarty
30:5751.4%46.2%
48.8%48.6%
+2.6-2.4

Shift Profile

Shift length and on-ice results, 2020–21 regular season. Empty-net goals against are left out. 56 of 56 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. Dahlin5612420:5829.5%44.6%41.6%60.3%+912537+6s262 (49 to whistle)73
S. Reinhart5411950:5337.1%33.0%49.3%61.3%+412726+2s198 (38 to whistle)67
R. Ristolainen4911930:5535.1%35.1%45.3%40.0%+2114132+4s185 (41 to whistle)53
V. Olofsson5611580:5041.7%28.2%50.7%63.4%+813624+1s149 (31 to whistle)37
C. Miller4810220:5140.3%31.2%43.7%47.9%+47380+4s171 (41 to whistle)41
J. Skinner539900:4747.2%25.6%52.2%52.4%-110516+2s148 (29 to whistle)45
R. Sheahan539820:4354.9%17.2%40.0%28.9%-120178+2s79 (16 to whistle)31
H. Jokiharju469740:5237.1%33.8%40.5%47.4%+23471+3s169 (39 to whistle)53
B. Montour388790:5334.0%36.2%45.0%41.7%-439100+1s185 (46 to whistle)60
C. Eakin468480:4255.1%14.2%40.0%27.1%-428125+2s65 (13 to whistle)24
C. Mittelstadt418450:4648.5%22.8%48.7%57.0%09336+1s98 (20 to whistle)30
J. Bryson388230:5335.0%31.6%42.7%36.1%+23896+7s122 (32 to whistle)23
T. Hall378160:5142.4%30.1%48.7%68.6%+89216+2s124 (24 to whistle)47
D. Cozens417550:4745.2%24.0%48.6%49.3%-58215+3s94 (26 to whistle)26
T. Rieder447480:4354.3%15.5%40.2%29.5%-320110+2s62 (10 to whistle)16
T. Thompson386990:4548.1%19.9%49.1%45.5%-17713+3s85 (16 to whistle)18
K. Okposo356510:4549.9%18.7%46.8%38.3%-14553+4s70 (15 to whistle)23
E. Staal326360:4744.8%23.4%54.0%55.4%-16217+1s79 (17 to whistle)19
C. Lazar336240:4354.6%17.1%39.9%27.9%-513118-1s56 (9 to whistle)19
R. Asplund284810:4546.6%18.3%47.7%35.7%-3439+3s58 (13 to whistle)14
J. Eichel214790:5436.1%33.6%50.3%70.9%+65213+2s83 (12 to whistle)32
M. Irwin244620:5142.0%29.7%40.9%35.3%-2959+4s78 (20 to whistle)17
A. Bjork153090:5042.1%31.7%43.8%38.2%-1936+4s65 (19 to whistle)12
J. McCabe133080:4944.8%24.7%53.3%39.9%01233+1s44 (8 to whistle)25
A. Ruotsalainen173070:4644.6%24.8%46.3%42.6%-2326+5s51 (21 to whistle)11
M. Samuelsson122490:5240.2%30.9%42.7%34.8%-2129+3s36 (11 to whistle)1
W. Borgen102120:4650.0%21.2%42.9%36.6%-3422-1s26 (7 to whistle)7
D. Caggiula111780:4643.8%20.2%44.7%42.3%-2814-4s23 (3 to whistle)3
S. Fogarty91470:4350.3%16.3%41.1%25.0%-147-1s20 (5 to whistle)6
B. Davidson61260:4455.6%15.9%53.4%40.0%-2212+2s7 (2 to whistle)5
B. Murray2270:4737.0%11.1%58.3%28.6%010+6s30
C. Smith1120:4066.7%0.0%28.6%000+1s00
J. Dea180:4250.0%12.5%40.0%0.0%-111-4s00

Skaters

PlayerNo.GPGAPTS+/-PIMPPSHGWGSOGG/60A/60P/60SOG/60S%FO%TOI/GxGxG/60GAx
Sam Reinhart2354251540-281010051301.420.852.277.3919.2%45.6%19:3215.60.89+9.4
Victor Olofsson7156131932-2367001290.801.171.977.9510.1%50.0%17:2412.10.75+0.9
Rasmus Dahlin265651823-36261001150.250.891.145.704.3%0.0%21:366.80.34-1.8
Casey Mittelstadt3741101222-1010312610.921.112.035.6216.4%49.0%15:538.00.73+2.0
Taylor Hall43721719-2124100880.171.481.657.642.3%18.2%18:4110.00.87-8.0
Rasmus Ristolainen554941418-1836100730.220.770.994.015.5%0.0%22:173.80.21+0.2
Jack Eichel92121618-96101610.282.232.518.503.3%49.7%20:306.30.87-4.2
Jeff Skinner53537714-11141001110.550.551.098.656.3%46.7%14:3111.70.91-4.7
Brandon Montour62385914-1324020720.380.691.085.546.9%0.0%20:323.50.27+1.5
Tage Thompson72388614-617200960.910.681.5910.938.3%25.0%13:5211.11.26-3.1
Kyle Okposo213521113-10010450.251.361.615.564.4%54.2%13:534.30.54-2.3
Riley Sheahan8534913-88010440.340.771.113.749.1%50.9%13:183.40.29+0.6
Dylan Cozens24414913-1516100620.410.921.336.326.5%47.5%14:216.60.67-2.6
Colin Miller33484812-2027100640.280.560.834.446.3%0.0%18:002.80.19+1.2
Rasmus Asplund74287411+10002341.170.671.835.6720.6%35.3%12:514.20.71+2.8
Eric Staal12323710-208100590.360.841.217.115.1%48.0%15:345.30.64-2.3
Curtis Lazar2733549-40001350.670.531.204.6814.3%50.7%13:374.80.64+0.2
Jacob Bryson7838189-112000240.080.660.751.994.2%0.0%19:031.50.13-0.5
Henri Jokiharju1046358-114000500.210.350.573.556.0%0.0%18:231.90.14+1.1
Cody Eakin2046347-914000390.300.400.713.937.7%54.3%12:564.30.44-1.3
Tobias Rieder1344527-92000630.560.220.787.017.9%12.5%12:155.70.63-0.7
Anders Bjork1515336-54000190.700.701.414.4615.8%0.0%17:022.30.54+0.7
Arttu Ruotsalainen17516-98000281.260.251.517.0717.9%40.0%13:592.90.72+2.2
Steven Fogarty179123+2800050.571.141.712.8420.0%58.3%11:440.40.22+0.6
Jake McCabe1913123+29000150.240.480.723.616.7%0.0%19:110.80.20+0.2
Drake Caggiula9111213-54000150.890.441.336.6413.3%100.0%12:191.40.61+0.6
Matt Irwin4424022-1019000270.000.310.314.150.0%0.0%16:151.40.22-1.4
Mattias Samuelsson2312022-84000100.000.550.552.770.0%0.0%18:020.30.07-0.2
Brandon Davidson886000-4400070.000.000.004.560.0%0.0%15:200.10.08-0.1
Jean-Sebastien Dea381000-1200020.000.000.0021.620.0%0.0%5:330.32.92-0.3
Will Borgen310000-4400070.000.000.002.580.0%0.0%16:160.30.10-0.3
Brett Murray812000+1000010.000.000.002.820.0%0.0%10:380.10.34-0.1
C.J. Smith4910000000000.000.000.000.000.0%7:57
Total1342173513303051115918.4%

Goalies

PlayerNo.GPWLOTLGAASV%SOxGAGSAx
Linus Ullmark35209632.63.917051.6+2.6
Dustin Tokarski31132823.54.904039.0-4.0
Michael Houser3242203.46.901011.7-2.3
Carter Hutton401311013.47.886033.1-5.9
Ukko-Pekka Luukkonen141303.88.906013.8-0.2
Jonas Johansson3470513.79.884018.6-5.4
Total153470

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
Jan 14vs WSH4-62.123.30-1.18-2-0.82
Jan 15vs WSH1-22.801.63+1.17-1-2.17
Jan 18@ PHI6-12.871.67+1.20+5+3.80
Jan 19@ PHI0-32.862.34+0.52-3-3.52
Jan 22@ WSH3-42.661.91+0.750-0.75
Jan 24@ WSH4-33.573.25+0.320-0.32
Jan 26vs NYR3-23.062.82+0.24+1+0.76
Jan 28vs NYR2-31.063.13-2.07-1+1.07
Jan 30vs NJD4-32.533.44-0.910+0.91
Jan 31vs NJD3-53.065.52-2.46-2+0.46
Feb 15vs NYI1-31.612.19-0.58-2-1.42
Feb 16vs NYI0-32.743.44-0.70-3-2.30
Feb 18@ WSH1-32.103.50-1.40-2-0.60
Feb 20@ NJD3-23.121.95+1.17+1-0.17
Feb 22@ NYI2-32.812.82-0.01-1-0.99
Feb 23@ NJD4-14.432.94+1.49+3+1.51
Feb 25vs NJD3-42.955.00-2.05-1+1.05
Feb 27vs PHI0-32.993.49-0.50-3-2.50
Feb 28vs PHI0-32.423.78-1.36-3-1.64
Mar 2@ NYR2-32.322.80-0.48-1-0.52
Mar 4@ NYI2-51.693.60-1.91-3-1.09
Mar 6@ NYI2-53.023.41-0.39-3-2.61
Mar 7@ NYI2-52.173.53-1.36-3-1.64
Mar 9@ PHI4-52.063.08-1.020+1.02
Mar 11vs PIT2-51.872.38-0.51-3-2.49
Mar 13vs PIT0-31.884.76-2.88-3-0.12
Mar 15vs WSH0-62.962.18+0.78-6-6.78
Mar 16@ NJD2-33.583.11+0.47-1-1.47
Mar 18vs BOS1-42.072.80-0.73-3-2.27
Mar 22@ NYR3-51.675.30-3.63-2+1.63
Mar 24@ PIT2-52.184.43-2.25-3-0.75
Mar 25@ PIT0-43.243.46-0.22-4-3.78
Mar 27@ BOS2-31.342.45-1.11-1+0.11
Mar 29vs PHI3-42.282.32-0.04-1-0.96
Mar 31vs PHI6-12.412.81-0.40+5+5.40
Apr 1vs NYR2-32.135.46-3.33-1+2.33
Apr 3vs NYR3-23.162.95+0.210-0.21
Apr 6@ NJD5-32.283.58-1.30+2+3.30
Apr 8vs NJD3-61.824.36-2.54-3-0.46
Apr 9vs WSH3-42.152.52-0.37-1-0.63
Apr 11@ PHI5-32.033.76-1.73+2+3.73
Apr 13@ BOS2-32.023.32-1.300+1.30
Apr 15@ WSH5-25.142.66+2.48+3+0.52
Apr 17vs PIT2-32.362.39-0.03-1-0.97
Apr 18vs PIT4-23.252.49+0.76+2+1.24
Apr 20vs BOS0-23.302.82+0.48-2-2.48
Apr 22vs BOS1-52.302.13+0.17-4-4.17
Apr 23vs BOS6-43.533.73-0.20+2+2.20
Apr 25@ NYR3-62.403.77-1.37-3-1.63
Apr 27@ NYR1-33.985.00-1.02-2-0.98
Apr 29@ BOS2-52.643.00-0.36-3-2.64
May 1@ BOS2-61.494.15-2.66-4-1.34
May 3vs NYI4-23.472.26+1.21+2+0.79
May 4vs NYI4-31.923.47-1.550+1.55
May 6@ PIT4-81.953.80-1.85-4-2.15
May 8@ PIT0-12.132.19-0.06-1-0.94

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.