Team Stats

2017–18 Regular Season

Coach: Phil Housley
Total Players: 39
Related2017–18 game results2017–18 standings
Season Summary

25-45-12, 62 points, a -80 goal differential.

PDO
0.978 at 5v5; about 0.996 is sustainable
BEST LINE
Pouliot–O'Reilly–Reinhart, 63.6% of 5v5 xG and 6-3 on goals
PENALTIES
Drew 306, took 283 (+23)
Team Totals
198
278
-80
19.1%
77.9%
51.5%
3.39
6.1%
.916
0.978
GF
GA
DIFF
PP%
PK%
FO%
GAA
S% (5v5)
SV% (5v5)
PDO (5v5)
NHL
31st
29th
31st
20th
22nd
7th
29th
31st
28th
31st
CONF
16th
14th
16th
11th
8th
4th
14th
16th
13th
16th
DIV
8th
7th
8th
5th
4th
2nd
7th
8th
7th
8th
ALL-TIME
5th pct
10th pct
8th pct
51st pct
18th pct
98th pct
9th pct
44th pct

All-time is where 2017–18 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.

Pouliot–O'Reilly–Reinhart
Best Line
63.6% of xG (4.00 to 2.29), 6-3 on goals and 110-86 on attempts in 106:08 together. Reinhart and Pouliot scored 6 goals with the line out. Small sample.
Goal differential
LEAGUE MED +9BUF -80-80+57
One dot per NHL team.
PDO (5v5)
LEAGUE MED 1.000BUF 0.9780.9781.023
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
0.06.713.420.126.807142027Expected goals (ixG)Goals

34 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
04079119158Linus UllmarkLinus Ullmark: 10.4 xGALinus Ullmark: 8 Goals Against (+2.4 vs expected)8 / 10.4Adam WilcoxAdam Wilcox: 1.7 xGAAdam Wilcox: 0 Goals Against (+1.7 vs expected)0 / 1.7Robin LehnerRobin Lehner: 132.8 xGARobin Lehner: 143 Goals Against (-10.2 vs expected)143 / 132.8Chad JohnsonChad Johnson: 87.6 xGAChad Johnson: 105 Goals Against (-17.4 vs expected)105 / 87.6
Games 1 (Oct 5) to 82 (Apr 7)

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.

-38.1-18.4+1.3Oct 5Oct 20Nov 7Nov 22Dec 8Dec 23Jan 9Jan 30Feb 13Feb 28Mar 17Mar 31vs MTL 2-3 L@ NYI 3-6 Lvs NJD 2-6 L@ SJS 2-3 L@ LAK 2-4 L@ ANA 3-1 W@ VGK 4-5 Lvs VAN 2-4 L@ BOS 5-4 Wvs DET 1-0 W@ CBJ 1-5 Lvs SJS 2-3 L@ ARI 5-4 W@ DAL 1-5 Lvs WSH 3-1 Wvs FLA 1-4 L@ MTL 1-2 L@ PIT 4-5 L@ DET 1-3 Lvs CAR 1-3 Lvs CBJ 2-3 Lvs MIN 4-5 Lvs EDM 3-1 W@ MTL 0-3 Lvs TBL 0-2 Lvs PIT 0-4 L@ PIT 1-5 L@ COL 4-2 W@ CHI 2-3 L@ STL 2-3 Lvs OTT 3-2 W@ PHI 1-2 Lvs CAR 4-5 Lvs BOS 0-3 Lvs PHI 4-2 W@ CAR 2-4 L@ NYI 2-3 L@ NJD 4-3 Wvs NYR 2-3 L@ MIN 2-6 L@ WPG 3-4 L@ PHI 1-4 Lvs WPG 4-7 Lvs CBJ 3-1 W@ NYR 3-4 Lvs DAL 1-7 L@ CGY 2-1 W@ EDM 5-0 W@ VAN 4-0 Wvs NJD 1-3 Lvs FLA 2-4 Lvs STL 0-1 Lvs ANA 3-4 Lvs NYI 4-3 W@ BOS 4-2 Wvs COL 4-5 Lvs TBL 5-3 W@ OTT 2-3 Lvs LAK 2-4 Lvs WSH 2-3 L@ DET 3-2 W@ WSH 1-5 Lvs BOS 4-1 W@ TBL 2-1 W@ FLA 1-4 Lvs TOR 5-3 Wvs CGY 1-5 L@ OTT 4-3 Wvs VGK 1-2 Lvs TOR 2-5 Lvs CHI 5-3 Wvs NSH 0-4 Lvs ARI 1-4 Lvs MTL 0-3 L@ NYR 1-5 L@ TOR 3-2 Wvs DET 3-6 L@ NSH 7-4 W@ TOR 2-5 Lvs OTT 2-4 L@ TBL 5-7 L@ FLA 3-4 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.

25-57 in 82 decided games, 2017–18 regular season, with 12 of those losses in overtime or a shootout.
Wins (25)Losses (57, 12 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 (25)LOSSES (57)
Forward goals3.441.63
Defense goals0.320.19
Forward points7.563.95
Defense points2.320.96
Different goal scorers3.321.65
D share of points23%20%
D share of shots26%27%

Goal Differential Breakdown

Buffalo finished -80 over 82 games. Biggest pieces: finishing -22.5, goaltending -19.6.

Added goalsCost goalsGoal differentialWhisker: one standard deviation of shot-outcome noise.
-500Goals0Start-15.6Even-strengthshot volume-14.0Even-strengthshot quality+5.0Penaltydifferential+2.9Power playefficiency-3.2Penalty killefficiency-22.5Finishing-19.6Goaltending-13.0Goaliepulled-80Goaldifferential
2017–18 REGULAR SEASON, GOALS
COMPONENTGOALSNOISE (ONE SD)REPEATS
Even-strength shot volume-15.6±4.2Usually
Even-strength shot quality-14.0n/aUsually
Penalty differential+5.0n/aSometimes
Power play efficiency+2.9n/aUsually
Penalty kill efficiency-3.2n/aUsually
Finishing-22.5±13.2Sometimes
Goaltending-19.6±13.9Sometimes
Goalie pulled-13.0n/aNot a skill
Unmodeled0.0n/an/a
Goal differential-80n/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.
  • 198 for, 278 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 -80.
  • Even-strength volume is priced at the league's average even-strength attempt for the season (0.0568 xG in 2017-18), and penalty differential at the league's net xG per power-play minute (0.085), both measured over every game in the league with the same model. Over the games covered, Buffalo's own games averaged 0.0575 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 -23.5 against -19.6 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: Pouliot–O'Reilly–Reinhart, 63.6% of xG and 6-3 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
Pominville–Kane–Eichel27241:568.938.4551.4%141325121553.9%6.7%6.9%214156169121
O'Reilly–Wilson–Reinhart21188:456.086.0949.9%61020215756.3%9.1%5.1%160129113101
Pouliot–Okposo–O'Reilly18142:294.015.2043.5%5911914545.1%-2.7%-1.6%871196475
Okposo–O'Reilly–Kane14121:313.603.5950.1%4410010548.8%1.2%5.2%79845664
Pouliot–O'Reilly–Reinhart18106:084.002.2963.6%631108656.1%8.7%19.1%85636645
Kane–Reinhart–Eichel14101:043.063.1948.9%329410447.5%-0.2%4.0%76855458
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Defense Pairs
No combo at 5v5 reached 50% of xG with 100:00 together and 0.25 xG.
LineGPTOIxGFxGAxG%GFGACFCACF%CF% RelxGF% RelFFFASFSA
Scandella–Ristolainen70947:0727.1329.2548.1%263585890648.6%1.3%4.1%668710491509
McCabe–Antipin21207:414.655.3146.7%7417317050.4%2.9%1.8%1271259487
Scandella–Nelson25196:084.486.4041.2%71014219042.8%-5.1%-4.0%1031527899
Beaulieu–Ristolainen26169:584.756.6741.6%5915916848.6%1.0%-3.6%1311199088
Bogosian–McCabe16167:535.206.2945.2%3514116546.1%-1.6%0.2%1171188586
Falk–Beaulieu23165:163.676.4836.2%4912416642.8%-5.1%-9.2%1001307194
Falk–Scandella21142:393.414.7341.9%4910813744.1%-3.7%-3.2%841046680
Guhle–Nelson13124:313.473.9346.9%371168956.6%9.2%1.9%89766859
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With or Without You

Buffalo's 5v5 CF% and xGF% with Scandella 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. 2017–18 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
SCANDELLA APART
IMPACT
TOI TogetherCF%xGF%CF%xGF%Δ CF%Δ xGF%
Ristolainen
948:4248.5%48.2%
45.1%41.4%
+3.4+6.8
O'Reilly
528:3449.1%47.4%
46.4%44.9%
+2.7+2.5
Reinhart
425:5453.0%52.1%
45.1%43.3%
+7.9+8.8
Eichel
424:1048.9%48.6%
46.7%44.6%
+2.2+4.0
Kane
400:0248.0%47.2%
47.1%45.2%
+0.9+2.0
Pominville
396:3849.0%48.6%
46.7%44.6%
+2.3+4.0
Okposo
380:2445.4%40.9%
48.0%47.3%
-2.6-6.4
Pouliot
313:1347.1%47.4%
47.4%45.4%
-0.3+2.0
Girgensons
287:4746.5%41.2%
47.5%46.9%
-1.0-5.7
Larsson
287:1241.3%33.7%
48.8%48.5%
-7.5-14.8
Wilson
218:0949.0%46.5%
47.0%45.6%
+2.0+0.9
Nelson
196:5742.6%41.0%
48.0%46.4%
-5.4-5.4
Nolan
193:1541.5%41.0%
48.1%46.4%
-6.6-5.4
Rodrigues
153:3346.1%46.7%
47.5%45.6%
-1.4+1.1
Falk
144:0142.5%41.9%
47.8%46.1%
-5.3-4.2
Josefson
118:3234.7%43.5%
48.3%45.9%
-13.6-2.4
Baptiste
77:3145.8%46.4%
47.4%45.7%
-1.6+0.7
Griffith
48:1262.5%55.0%
46.9%45.5%
+15.6+9.5
Tennyson
44:3750.0%36.2%
47.2%46.1%
+2.8-9.9
Bailey
40:4342.4%37.2%
47.5%46.0%
-5.1-8.8
Moulson
36:5653.1%40.6%
47.2%45.9%
+5.9-5.3
McCabe
32:5845.3%39.2%
47.4%45.9%
-2.1-6.7
Beaulieu
32:3350.7%35.7%
47.2%46.1%
+3.5-10.4
Antipin
27:0046.7%36.1%
47.3%45.9%
-0.6-9.8

Shift Profile

Shift length and on-ice results, 2017–18 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
M. Scandella8223320:4946.6%26.5%50.0%41.6%-16182266+5s235 (70 to whistle)376
R. O'Reilly8121340:4748.0%24.5%50.5%62.7%+15238224+2s149 (28 to whistle)207
R. Ristolainen7321150:5539.5%34.0%45.4%54.6%+11192239+2s236 (53 to whistle)360
S. Reinhart8217180:4943.7%25.6%53.9%68.2%+1523031+4s163 (41 to whistle)87
J. Pominville8216670:4451.0%17.8%53.4%58.4%+521632+2s121 (29 to whistle)85
J. Larsson8015840:4354.6%19.1%42.1%31.1%-1567241+3s168 (36 to whistle)68
J. Eichel6715580:5240.7%30.6%49.5%64.7%+18173126+1s161 (45 to whistle)80
K. Okposo7615400:5042.8%28.8%48.7%65.4%+1320350+3s168 (40 to whistle)69
B. Pouliot7414620:4260.2%12.9%48.0%32.7%-892213+3s82 (15 to whistle)44
J. McCabe5314070:4455.2%19.8%45.9%44.6%-576162+4s137 (34 to whistle)185
E. Kane6113910:5139.5%31.3%51.1%59.4%+3162112-1s181 (52 to whistle)77
Z. Girgensons7113310:4452.3%17.6%43.4%37.7%035198+3s130 (24 to whistle)50
N. Beaulieu5912120:4747.5%23.5%48.8%48.1%-28142+7s161 (42 to whistle)115
J. Falk4610640:4261.4%15.5%44.2%30.6%-921121+7s78 (22 to whistle)131
J. Nolan699860:4154.1%16.2%46.2%35.0%-45322+3s111 (26 to whistle)29
V. Antipin479650:4555.5%20.0%49.9%50.9%-17233+1s116 (32 to whistle)100
S. Wilson499370:4450.5%19.3%49.8%38.2%-340112+3s96 (21 to whistle)29
C. Nelson379030:4652.4%21.7%53.1%41.0%-13669+1s111 (30 to whistle)111
E. Rodrigues488890:4550.4%22.4%53.0%60.1%+110639+3s90 (18 to whistle)26
J. Gorges347460:4162.9%14.7%48.2%29.1%-21795+6s56 (11 to whistle)66
J. Josefson396460:4156.2%13.5%40.0%24.3%-12796+2s46 (6 to whistle)15
N. Baptiste335020:3960.0%13.1%49.1%42.2%+15415+3s39 (3 to whistle)13
Z. Bogosian184580:4550.9%23.1%48.9%49.3%-23039+4s48 (14 to whistle)60
B. Guhle184500:4357.3%17.8%51.3%50.9%-12917+4s35 (9 to whistle)54
M. Tennyson153760:4355.9%16.8%48.8%53.7%-14320-1s28 (7 to whistle)44
S. Griffith213210:4152.6%18.1%50.0%48.4%-12710+2s38 (7 to whistle)12
M. Moulson141970:4449.7%20.3%47.5%60.8%-4311+4s21 (9 to whistle)7
J. Bailey121930:4256.0%16.6%42.7%37.7%+1813-1s15 (1 to whistle)5
T. Fedun71500:4158.0%16.7%52.6%46.4%0811+3s14 (2 to whistle)17
C. Mittelstadt61220:4157.4%13.1%41.0%71.0%+1202+4s8 (3 to whistle)7
K. Criscuolo91080:4058.3%15.7%46.4%38.2%039+4s9 (2 to whistle)1
H. Fasching5680:4350.0%16.2%34.5%68.6%0111+1s42
Z. Redmond3590:4462.7%18.6%47.4%37.5%032-2s8 (3 to whistle)3
A. Nylander3540:4350.0%13.0%79.3%27.3%030+7s44
D. O'Regan2250:4740.0%20.0%50.0%58.3%+140-7s10

Skaters

PlayerNo.GPGAPTS+/-PIMPPSHGWGSOGG/60A/60P/60SOG/60S%FO%TOI/GxGxG/60GAx
Jack Eichel967253964-25323042461.111.732.8510.9410.2%41.5%20:0924.91.11+0.1
Ryan O'Reilly9081243761-23215032300.851.322.178.1810.4%60.0%20:4923.50.84+0.5
Sam Reinhart2382252550-242612051881.071.072.148.0413.3%39.4%17:0622.50.96+2.5
Kyle Okposo2176152944-34406021610.701.342.047.469.3%46.0%17:0218.00.83-3.0
Rasmus Ristolainen557363541-25481011820.191.091.275.653.3%0.0%26:309.50.29-3.5
Evander Kane961202040-14573322271.011.012.0311.528.8%43.7%19:2324.51.24-4.5
Jason Pominville2982161834-1785011680.790.881.678.259.5%57.9%14:5413.20.65+2.8
Evan Rodrigues714871825-1014100910.631.622.248.177.7%42.4%13:567.70.69-0.7
Marco Scandella68251722-15370011380.160.530.694.333.6%0.0%23:196.30.20-1.3
Benoit Pouliot677413619-822124830.770.361.134.9215.7%36.4%13:418.80.52+4.2
Johan Larsson228041317-3049010860.210.690.904.574.7%54.5%14:077.50.40-3.5
Zemgus Girgensons28717815-12260201130.430.490.926.976.2%36.5%13:439.60.59-2.6
Scott Wilson20496814-178000850.530.701.237.457.1%50.0%13:587.30.64-1.3
Jake McCabe19533912-1126100530.170.520.703.085.7%0.0%19:301.90.11+1.1
Victor Antipin934701010-918000400.000.840.843.340.0%0.0%15:171.50.13-1.5
Nathan Beaulieu8259189-1936000670.060.510.574.271.5%0.0%15:573.50.22-2.5
Jordan Nolan1769448-1369000500.360.360.714.448.0%25.0%9:484.70.41-0.7
Casey Nelson837358-148010480.260.430.694.146.3%0.0%18:472.20.19+0.8
Nick Baptiste1333426-414001450.730.361.098.218.9%22.2%9:583.90.70+0.1
Brendan Guhle4518055-610000370.000.920.926.810.0%0.0%18:061.70.32-1.7
Casey Mittelstadt376145+1210090.712.853.576.4211.1%47.2%14:010.80.59+0.2
Jacob Josefson1039224-46000350.270.270.544.735.7%44.1%11:234.10.55-2.1
Justin Bailey9512314-22000191.330.441.778.4215.8%0.0%11:172.00.87+1.0
Seth Griffith2521213-66000150.540.270.814.0613.3%0.0%10:341.30.35+0.7
Josh Gorges434022-417000150.000.240.241.770.0%0.0%14:560.50.06-0.5
Justin Falk4146112-1628000360.080.080.162.922.8%0.0%16:051.00.080.0
Zach Bogosian418011-920000290.000.170.175.050.0%0.0%19:091.30.23-1.3
Taylor Fedun277011-1200080.000.580.584.670.0%0.0%14:410.10.06-0.1
Alex Nylander923101-3000021.560.001.563.1150.0%0.0%12:520.30.54+0.7
Matt Moulson14000-92000130.000.000.005.420.0%0.0%10:171.40.58-1.4
Zach Redmond383000+1200070.000.000.009.670.0%0.0%14:290.30.47-0.3
Matt Tennyson515000-88000250.000.000.005.560.0%0.0%17:581.10.24-1.1
Danny O'Regan652000+1000000.000.000.000.0033.3%9:54
Hudson Fasching245000-1200010.000.000.001.240.0%0.0%9:420.40.48-0.4
Kyle Criscuolo519000-4400050.000.000.004.160.0%46.3%8:010.50.45-0.5
Total1983295276514992425577.7%

Goalies

PlayerNo.GPWLOTLGAASV%SOxGAGSAx
Robin Lehner4053142693.01.9083132.8-10.2
Chad Johnson3136101633.55.891087.6-17.4
Linus Ullmark3551202.00.935010.4+2.4
Adam Wilcox3210100.001.00001.7+1.7
Total2545123

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 5vs MTL2-34.383.04+1.340-1.34
Oct 7@ NYI3-63.524.68-1.16-3-1.84
Oct 9vs NJD2-61.393.80-2.41-4-1.59
Oct 12@ SJS2-31.683.97-2.29-1+1.29
Oct 14@ LAK2-42.773.50-0.73-2-1.27
Oct 15@ ANA3-12.712.37+0.34+2+1.66
Oct 17@ VGK4-53.123.22-0.10-1-0.90
Oct 20vs VAN2-41.913.37-1.46-2-0.54
Oct 21@ BOS5-43.022.40+0.62+1+0.38
Oct 24vs DET1-03.152.22+0.93+1+0.07
Oct 25@ CBJ1-52.392.390.00-4-4.00
Oct 28vs SJS2-32.172.20-0.03-1-0.97
Nov 2@ ARI5-43.103.32-0.22+1+1.22
Nov 4@ DAL1-52.891.65+1.24-4-5.24
Nov 7vs WSH3-13.161.59+1.57+2+0.43
Nov 10vs FLA1-41.174.01-2.84-3-0.16
Nov 11@ MTL1-24.092.18+1.91-1-2.91
Nov 14@ PIT4-53.154.05-0.90-1-0.10
Nov 17@ DET1-32.024.24-2.22-2+0.22
Nov 18vs CAR1-32.394.28-1.89-2-0.11
Nov 20vs CBJ2-32.262.07+0.19-1-1.19
Nov 22vs MIN4-52.202.31-0.11-1-0.89
Nov 24vs EDM3-13.132.24+0.89+2+1.11
Nov 25@ MTL0-31.933.27-1.34-3-1.66
Nov 28vs TBL0-22.322.79-0.47-2-1.53
Dec 1vs PIT0-41.991.67+0.32-4-4.32
Dec 2@ PIT1-52.624.64-2.02-4-1.98
Dec 5@ COL4-24.362.90+1.46+2+0.54
Dec 8@ CHI2-32.334.80-2.47-1+1.47
Dec 10@ STL2-31.864.50-2.64-1+1.64
Dec 12vs OTT3-21.642.19-0.55+1+1.55
Dec 14@ PHI1-22.312.24+0.07-1-1.07
Dec 15vs CAR4-53.592.81+0.78-1-1.78
Dec 19vs BOS0-32.443.59-1.15-3-1.85
Dec 22vs PHI4-24.712.29+2.42+2-0.42
Dec 23@ CAR2-42.454.46-2.01-2+0.01
Dec 27@ NYI2-33.102.82+0.28-1-1.28
Dec 29@ NJD4-33.223.00+0.22+1+0.78
Jan 1vs NYR2-33.243.88-0.64-1-0.36
Jan 4@ MIN2-62.163.36-1.20-4-2.80
Jan 5@ WPG3-42.352.94-0.59-1-0.41
Jan 7@ PHI1-41.854.35-2.50-3-0.50
Jan 9vs WPG4-73.022.80+0.22-3-3.22
Jan 11vs CBJ3-12.322.47-0.15+2+2.15
Jan 18@ NYR3-42.953.47-0.52-1-0.48
Jan 20vs DAL1-71.781.58+0.20-6-6.20
Jan 22@ CGY2-13.271.90+1.37+1-0.37
Jan 23@ EDM5-02.042.37-0.33+5+5.33
Jan 25@ VAN4-02.011.74+0.27+4+3.73
Jan 30vs NJD1-31.732.98-1.25-2-0.75
Feb 1vs FLA2-42.992.53+0.46-2-2.46
Feb 3vs STL0-12.252.250.00-1-1.00
Feb 6vs ANA3-42.394.36-1.97-1+0.97
Feb 8vs NYI4-32.262.29-0.03+1+1.03
Feb 10@ BOS4-23.562.88+0.68+2+1.32
Feb 11vs COL4-53.122.56+0.56-1-1.56
Feb 13vs TBL5-34.143.03+1.11+2+0.89
Feb 15@ OTT2-31.333.44-2.11-1+1.11
Feb 17vs LAK2-42.172.38-0.21-2-1.79
Feb 19vs WSH2-32.524.38-1.86-1+0.86
Feb 22@ DET3-22.582.97-0.39+1+1.39
Feb 24@ WSH1-52.474.24-1.77-4-2.23
Feb 25vs BOS4-12.113.06-0.95+3+3.95
Feb 28@ TBL2-12.532.08+0.45+1+0.55
Mar 2@ FLA1-41.953.00-1.05-3-1.95
Mar 5vs TOR5-32.354.00-1.65+2+3.65
Mar 7vs CGY1-51.442.75-1.31-4-2.69
Mar 8@ OTT4-33.313.97-0.660+0.66
Mar 10vs VGK1-23.102.48+0.620-0.62
Mar 15vs TOR2-52.813.04-0.23-3-2.77
Mar 17vs CHI5-33.782.72+1.06+2+0.94
Mar 19vs NSH0-42.333.04-0.71-4-3.29
Mar 21vs ARI1-43.005.14-2.14-3-0.86
Mar 23vs MTL0-32.983.71-0.73-3-2.27
Mar 24@ NYR1-54.313.70+0.61-4-4.61
Mar 26@ TOR3-22.595.27-2.68+1+3.68
Mar 29vs DET3-62.633.81-1.18-3-1.82
Mar 31@ NSH7-42.992.52+0.47+3+2.53
Apr 2@ TOR2-53.423.88-0.46-3-2.54
Apr 4vs OTT2-42.292.48-0.19-2-1.81
Apr 6@ TBL5-71.842.92-1.08-2-0.92
Apr 7@ FLA3-42.934.03-1.10-1+0.10

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.