Team Stats

2022–23 Regular Season

Coach: Don Granato
Total Players: 33
Related2022–23 game results2022–23 standings
Season Summary

42-33-7, 91 points, a -4 goal differential.

BEST LINE
Skinner–Tuch–Mittelstadt, 55.7% of 5v5 xG and 11-4 on goals
BEST PAIR
Samuelsson–Power, 60.7% of 5v5 xG and 8-5 on goals
PENALTIES
Drew 322, took 280 (+42)
Team Totals
293
297
-4
23.4%
73.0%
45.1%
3.62
9.4%
.903
0.997
GF
GA
DIFF
PP%
PK%
FO%
GAA
S% (5v5)
SV% (5v5)
PDO (5v5)
NHL
3rd
26th
19th
9th
28th
32nd
26th
4th
29th
18th
CONF
2nd
14th
10th
5th
15th
16th
14th
2nd
15th
8th
DIV
2nd
7th
5th
4th
7th
8th
7th
2nd
8th
5th
ALL-TIME
90th pct
12th pct
39th pct
93rd pct
1st pct
9th pct
85th pct
9th pct

All-time is where 2022–23 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.

Skinner–Tuch–Mittelstadt
Best Line
55.7% of xG (5.60 to 4.46), 11-4 on goals and 129-95 on attempts in 111:10 together. Mittelstadt, Tuch and Skinner scored 9 goals with the line out. Small sample.
Samuelsson–Power
Best D Pair
60.7% of xG (5.32 to 3.45), 8-5 on goals and 121-80 on attempts in 107:50 together. Small sample.
Goal differential
LEAGUE MED +14BUF -4-129+127
One dot per NHL team.
PDO (5v5)
LEAGUE MED 1.003BUF 0.9970.9781.036
One dot per NHL team.
Team Leaders
58
ASSISTS
+15
PLUS/MINUS
25:48
TOI/G
14
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
0.09.719.329.038.6013253851Expected goals (ixG)Goals

28 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
0326495127Craig AndersonCraig Anderson: 80.1 xGACraig Anderson: 76 Goals Against (+4.1 vs expected)76 / 80.1Devon LeviDevon Levi: 23.7 xGADevon Levi: 21 Goals Against (+2.7 vs expected)21 / 23.7Eric ComrieEric Comrie: 62.8 xGAEric Comrie: 68 Goals Against (-5.2 vs expected)68 / 62.8Ukko-Pekka LuukkonenUkko-Pekka Luukkonen: 109.6 xGAUkko-Pekka Luukkonen: 115 Goals Against (-5.4 vs expected)115 / 109.6
Games 1 (Oct 13) to 82 (Apr 14)

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.

-7.9-1.6+4.7Oct 13Oct 29Nov 12Nov 28Dec 13Jan 3Jan 17Feb 1Feb 24Mar 9Mar 24Apr 8vs OTT 4-1 Wvs FLA 3-4 L@ EDM 4-2 W@ CGY 6-3 W@ VAN 5-1 W@ SEA 1-5 Lvs MTL 2-3 Lvs CHI 4-3 Wvs DET 8-3 Wvs PIT 6-3 W@ CAR 3-5 L@ TBL 3-5 Lvs ARI 1-4 Lvs VGK 4-7 Lvs BOS 1-3 Lvs VAN 4-5 L@ OTT 1-4 L@ TOR 2-5 L@ MTL 7-2 Wvs STL 6-2 Wvs NJD 1-3 Lvs TBL 5-6 L@ DET 5-4 Wvs COL 4-6 Lvs SJS 6-3 W@ CBJ 9-4 Wvs PIT 3-4 L@ PIT 1-3 Lvs LAK 6-0 W@ COL 4-2 W@ ARI 5-2 W@ VGK 3-2 Wvs DET 6-3 W@ BOS 4-3 W@ OTT 1-3 L@ WSH 5-4 Wvs MIN 6-5 Wvs PHI 0-4 Lvs SEA 3-4 Lvs WPG 2-4 L@ NSH 5-3 Wvs FLA 1-4 L@ CHI 3-4 Lvs NYI 3-2 Wvs ANA 6-3 W@ DAL 3-2 W@ STL 5-3 W@ WPG 3-2 W@ MIN 2-3 Lvs CAR 1-5 Lvs CGY 2-7 L@ LAK 2-5 L@ ANA 7-3 W@ SJS 4-2 Wvs TOR 3-6 L@ TBL 6-5 W@ FLA 3-1 Wvs WSH 7-4 Wvs CBJ 3-5 L@ BOS 1-7 Lvs TBL 5-3 Wvs EDM 2-3 L@ NYI 2-3 Lvs DAL 4-10 Lvs NYR 1-2 L@ TOR 4-3 W@ WSH 4-5 L@ PHI 2-5 Lvs BOS 0-7 Lvs NSH 3-7 Lvs NJD 5-4 W@ NYI 2-0 Wvs MTL 3-4 Lvs NYR 3-2 W@ PHI 6-3 W@ FLA 1-2 L@ DET 7-6 Wvs CAR 4-3 W@ NYR 3-2 W@ NJD 2-6 Lvs OTT 4-3 W@ CBJ 5-2 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.

42-40 in 82 decided games, 2022–23 regular season, with 7 of those losses in overtime or a shootout.
Wins (42)Losses (40, 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 (42)LOSSES (40)
Forward goals4.382.00
Defense goals0.520.17
Forward points10.104.65
Defense points2.811.23
Different goal scorers3.932.08
D share of points22%21%
D share of shots23%24%

Goal Differential Breakdown

Buffalo finished -4 over 82 games. Biggest pieces: goalie pulled -9.0, penalty differential +8.4.

Added goalsCost goalsGoal differentialWhisker: one standard deviation of shot-outcome noise.
-100+10+20Goals0Start+3.5Even-strengthshot volume-0.2Even-strengthshot quality+8.4Penaltydifferential-5.5Power playefficiency-7.6Penalty killefficiency+8.1Finishing-1.7Goaltending-9.0Goaliepulled-4Goaldifferential
2022–23 REGULAR SEASON, GOALS
COMPONENTGOALSNOISE (ONE SD)REPEATS
Even-strength shot volume+3.5±4.7Usually
Even-strength shot quality-0.2n/aUsually
Penalty differential+8.4n/aSometimes
Power play efficiency-5.5n/aUsually
Penalty kill efficiency-7.6n/aUsually
Finishing+8.1±15.1Sometimes
Goaltending-1.7±15.1Sometimes
Goalie pulled-9.0n/aNot a skill
Unmodeled0.0n/an/a
Goal differential-4n/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.
  • 293 for, 297 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 -4.
  • Even-strength volume is priced at the league's average even-strength attempt for the season (0.0619 xG in 2022-23), and penalty differential at the league's net xG per power-play minute (0.093), both measured over every game in the league with the same model. Over the games covered, Buffalo's own games averaged 0.0724 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 -3.8 against -1.7 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: Skinner–Tuch–Mittelstadt, 55.7% of xG and 11-4 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
Skinner–Tuch–Thompson60572:5926.9527.3749.6%423267056354.3%3.7%0.8%510449358347
Okposo–Girgensons–Krebs50416:1911.0612.5446.8%111538130455.6%4.8%-2.3%279222190155
Cozens–Quinn–Peterka46390:0616.4515.9350.8%182438938350.4%-1.0%2.1%291311205232
Olofsson–Jost–Mittelstadt29245:089.467.4655.9%111622419553.5%2.4%7.4%174139131105
Okposo–Girgensons–Jost36173:596.644.7958.1%3414414849.3%-2.0%9.5%1091208390
Skinner–Tuch–Mittelstadt16111:105.604.4655.7%1141299557.6%6.5%7.0%100777659
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Defense Pairs
Best at 5v5: Samuelsson–Power, 60.7% of xG and 8-5 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–Power58678:1424.8532.0143.7%383861764548.9%-2.8%-6.4%475527341409
Samuelsson–Dahlin51667:2727.1224.2452.8%393161765348.6%-3.2%4.7%478508362366
Bryson–Lyubushkin41291:558.1011.8740.6%91624628246.6%-5.0%-8.9%178221129160
Dahlin–Power63227:259.528.9351.6%17527419558.4%7.6%2.8%199162145112
Jokiharju–Dahlin42224:5710.055.5164.6%111325316960.0%9.3%16.5%19613714896
Clague–Power27174:467.047.0050.1%7916412956.0%4.9%1.2%1201109180
Bryson–Dahlin31171:355.605.7749.2%31116714453.7%2.6%0.3%1211078579
Lyubushkin–Power44168:224.877.3639.8%5415818346.3%-5.2%-9.5%11513484104
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With or Without You

Buffalo's 5v5 CF% and xGF% with Power 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. 2022–23 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
POWER APART
IMPACT
TOI TogetherCF%xGF%CF%xGF%Δ CF%Δ xGF%
Jokiharju
684:0648.8%43.8%
55.1%50.7%
-6.3-6.9
Skinner
460:0655.6%49.2%
50.8%46.6%
+4.8+2.6
Thompson
453:4755.0%47.4%
51.1%47.7%
+3.9-0.3
Tuch
425:5455.1%48.8%
51.2%47.0%
+3.9+1.8
Mittelstadt
404:3553.1%48.7%
52.1%47.1%
+1.0+1.6
Cozens
359:2949.1%46.4%
53.4%48.0%
-4.3-1.6
Peterka
342:5451.0%48.0%
52.7%47.4%
-1.7+0.6
Okposo
341:4353.4%51.3%
52.1%46.7%
+1.3+4.6
Krebs
327:4954.7%46.0%
51.8%47.9%
+2.9-1.9
Girgensons
316:5649.2%43.5%
53.0%48.4%
-3.8-4.9
Quinn
309:5053.1%52.1%
52.1%46.3%
+1.0+5.8
Olofsson
303:3350.9%45.1%
52.7%48.1%
-1.8-3.0
Dahlin
232:2458.7%51.4%
51.1%46.9%
+7.6+4.5
Jost
229:2149.9%58.0%
52.7%46.1%
-2.8+11.9
Clague
176:1756.1%50.8%
51.9%47.2%
+4.2+3.6
Lyubushkin
170:4546.8%42.1%
53.1%48.2%
-6.3-6.1
Hinostroza
128:2949.6%34.9%
52.6%48.9%
-3.0-14.0
Samuelsson
111:3959.0%60.7%
51.8%46.6%
+7.2+14.1
Bryson
109:0947.3%39.1%
52.7%48.1%
-5.4-9.0
Asplund
87:0944.6%31.9%
52.8%48.6%
-8.2-16.7
Greenway
82:1343.0%42.5%
52.8%47.7%
-9.8-5.2
Fitzgerald
27:1554.1%56.1%
52.3%47.4%
+1.8+8.7

Shift Profile

Shift length and on-ice results, 2022–23 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. Dahlin7823880:5144.3%29.1%47.7%62.7%+33198210+6s338 (101 to whistle)455
O. Power7923010:4945.1%27.9%52.6%51.6%+12198181+4s327 (87 to whistle)434
D. Cozens8117430:4648.6%22.9%47.9%59.7%+19214189+1s173 (38 to whistle)64
A. Tuch7417170:5042.5%27.6%54.0%60.7%+15202195+2s199 (40 to whistle)75
T. Thompson7817160:5140.0%30.8%55.6%64.3%+17200128+4s236 (60 to whistle)65
J. Skinner7916670:4942.7%28.7%56.8%67.2%+2121951+3s233 (53 to whistle)59
H. Jokiharju6016480:4649.5%20.6%47.7%42.0%-787183+1s195 (48 to whistle)241
C. Mittelstadt8216280:4844.2%25.8%51.7%56.8%+521181+3s214 (50 to whistle)58
M. Samuelsson5515220:4847.9%24.8%45.1%39.1%046193+5s188 (55 to whistle)249
Z. Girgensons8014770:4257.1%14.8%45.5%45.1%-558218+5s132 (29 to whistle)29
I. Lyubushkin6814690:4259.0%15.7%46.3%35.2%-1010214+4s135 (28 to whistle)146
K. Okposo7514370:4647.1%21.4%48.0%49.6%0113159+3s175 (31 to whistle)36
V. Olofsson7513690:4744.2%23.7%55.3%58.6%+420821+4s152 (37 to whistle)47
J. Quinn7513460:4647.0%24.1%48.8%55.2%+315379+4s193 (49 to whistle)30
P. Krebs7413320:4646.4%22.4%50.8%52.7%+1118101+4s181 (41 to whistle)41
J. Peterka7713180:4842.9%28.8%50.8%51.2%-214728+3s236 (57 to whistle)40
J. Bryson5912820:4063.3%12.7%50.4%37.5%-337101+4s100 (19 to whistle)154
T. Jost5910020:4743.8%23.3%48.5%41.2%-738130+6s148 (37 to whistle)25
K. Clague336600:4551.1%22.7%53.2%52.5%+1713+6s108 (24 to whistle)80
C. Fitzgerald234450:4061.3%15.1%48.0%37.4%-4473+4s40 (16 to whistle)40
R. Asplund274310:4354.8%18.3%43.8%43.1%01657+1s47 (14 to whistle)13
V. Hinostroza264280:4645.8%23.4%47.9%53.8%+11119+3s72 (16 to whistle)14
L. Pilut173340:3963.5%15.3%48.6%50.4%0138+7s37 (14 to whistle)38
J. Greenway173100:4643.5%22.6%45.7%48.2%-41026+5s50 (9 to whistle)9
R. Stillman183100:4257.1%14.5%55.9%54.6%+2420+2s28 (2 to whistle)18
L. Rousek2300:4543.3%16.7%40.0%33.3%000+3s50
R. Sheahan2240:4258.3%12.5%33.3%40.0%011+3s21
A. Bjork1140:4164.3%14.3%37.5%100.0%010+6s2 (1 to whistle)2
J. Davies1130:3961.5%23.1%71.4%27.3%002+1s31

Skaters

PlayerNo.GPGAPTS+/-PIMPPSHGWGSOGG/60A/60P/60SOG/60S%FO%TOI/GxGxG/60GAx
Tage Thompson7278474794+43920172951.941.943.8912.2115.9%43.1%18:3535.81.48+11.2
Jeff Skinner5379354782+15398032421.532.053.5810.5614.5%47.3%17:2431.21.36+3.8
Alex Tuch8974364379+14208192181.521.823.349.2316.5%42.7%19:0929.11.23+6.9
Rasmus Dahlin2678155873+12926022040.451.732.186.087.4%0.0%25:4816.80.50-1.8
Dylan Cozens2481313768-3415212111.391.663.059.4714.7%48.3%16:3026.81.20+4.2
Casey Mittelstadt3782154459-8224121350.702.052.746.2811.1%45.9%15:4415.80.74-0.8
Victor Olofsson7175281240-2347051611.560.672.238.9717.4%16.7%14:2118.61.03+9.5
Jack Quinn2275142337-7151021260.811.332.147.2811.1%33.3%13:5116.60.96-2.6
Owen Power257943135+10240011300.130.991.124.153.1%0.0%23:489.00.29-5.0
JJ Peterka7777122032-15262011250.691.141.837.149.6%55.6%13:3914.50.83-2.5
Kyle Okposo2175111728-7341131500.600.931.538.187.3%46.9%14:4016.80.91-5.8
Peyton Krebs197491726-850110780.531.001.524.5711.5%45.1%13:509.00.530.0
Tyson Jost175971522-923000880.531.141.686.718.0%38.3%13:2110.70.81-3.7
Zemgus Girgensons288010818-5140001140.580.461.046.598.8%45.4%12:5914.00.81-4.0
Ilya Lyubushkin466821214-238011410.120.710.822.414.9%0.0%15:011.70.10+0.3
Henri Jokiharju106031013-1230000790.140.480.623.763.8%0.0%21:013.30.16-0.3
Vinnie Hinostroza29262911-16001380.371.652.016.965.3%25.0%12:363.70.68-1.7
Mattias Samuelsson23552810+1420000760.100.390.493.742.6%0.0%22:114.50.22-2.4
Jacob Bryson7859189-248000270.070.560.631.883.7%0.0%14:351.20.08-0.2
Rasmus Asplund742726800010330.391.181.576.476.1%40.0%11:203.10.61-1.1
Jordan Greenway1217404-30000311.000.001.007.7812.9%0.0%14:033.60.90+0.4
Kale Clague3833044-324000240.000.480.482.890.0%0.0%15:061.10.13-1.1
Riley Stillman6118123+11300080.280.550.832.2112.5%0.0%12:030.40.12+0.6
Casey Fitzgerald4523033-14000120.000.600.602.400.0%0.0%13:030.60.13-0.6
Lawrence Pilut2017123-40001140.280.550.833.867.1%0.0%12:480.40.12+0.6
Lukas Rousek132112+2000032.652.655.317.9633.3%0.0%11:190.30.69+0.7
Riley Sheahan82000-2400000.000.000.000.0070.0%8:19
Anders Bjork1510000000010.000.000.006.230.0%0.0%9:380.21.00-0.2
Jeremy Davies410000200010.000.000.007.020.0%0.0%8:330.00.000.0
Total29348477759263939266511.0%

Goalies

PlayerNo.GPWLOTLGAASV%SOxGAGSAx
Ukko-Pekka Luukkonen133171143.61.8920109.6-5.4
Craig Anderson4126111123.06.908180.1+4.1
Eric Comrie31199913.67.886162.8-5.2
Devon Levi2775202.94.905023.7+2.7
Total423372

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 13vs OTT4-13.752.86+0.89+3+2.11
Oct 15vs FLA3-42.044.36-2.32-1+1.32
Oct 18@ EDM4-23.895.97-2.08+2+4.08
Oct 20@ CGY6-35.193.15+2.04+3+0.96
Oct 22@ VAN5-14.733.04+1.69+4+2.31
Oct 25@ SEA1-51.483.57-2.09-4-1.91
Oct 27vs MTL2-33.902.35+1.55-1-2.55
Oct 29vs CHI4-35.663.86+1.80+1-0.80
Oct 31vs DET8-34.331.64+2.69+5+2.31
Nov 2vs PIT6-32.812.23+0.58+3+2.42
Nov 4@ CAR3-52.793.95-1.16-2-0.84
Nov 5@ TBL3-53.094.58-1.49-2-0.51
Nov 8vs ARI1-43.742.08+1.66-3-4.66
Nov 10vs VGK4-73.233.66-0.43-3-2.57
Nov 12vs BOS1-33.313.42-0.11-2-1.89
Nov 15vs VAN4-53.184.03-0.85-1-0.15
Nov 16@ OTT1-43.085.99-2.91-3-0.09
Nov 19@ TOR2-52.883.35-0.47-3-2.53
Nov 22@ MTL7-23.412.18+1.23+5+3.77
Nov 23vs STL6-23.993.66+0.33+4+3.67
Nov 25vs NJD1-33.054.16-1.11-2-0.89
Nov 28vs TBL5-64.563.90+0.66-1-1.66
Nov 30@ DET5-43.854.47-0.620+0.62
Dec 1vs COL4-63.354.59-1.24-2-0.76
Dec 4vs SJS6-35.082.49+2.59+3+0.41
Dec 7@ CBJ9-42.303.13-0.83+5+5.83
Dec 9vs PIT3-42.944.15-1.21-1+0.21
Dec 10@ PIT1-33.553.38+0.17-2-2.17
Dec 13vs LAK6-02.352.55-0.20+6+6.20
Dec 15@ COL4-23.224.18-0.96+2+2.96
Dec 17@ ARI5-25.002.80+2.20+3+0.80
Dec 19@ VGK3-23.024.89-1.87+1+2.87
Dec 29vs DET6-35.002.49+2.51+3+0.49
Dec 31@ BOS4-32.115.14-3.03+1+4.03
Jan 1@ OTT1-33.604.01-0.41-2-1.59
Jan 3@ WSH5-43.133.28-0.15+1+1.15
Jan 7vs MIN6-53.384.44-1.06+1+2.06
Jan 9vs PHI0-42.593.71-1.12-4-2.88
Jan 10vs SEA3-44.143.34+0.80-1-1.80
Jan 12vs WPG2-44.393.87+0.52-2-2.52
Jan 14@ NSH5-35.043.11+1.93+2+0.07
Jan 16vs FLA1-42.603.59-0.99-3-2.01
Jan 17@ CHI3-43.912.67+1.24-1-2.24
Jan 19vs NYI3-24.453.81+0.64+1+0.36
Jan 21vs ANA6-33.852.71+1.14+3+1.86
Jan 23@ DAL3-22.773.98-1.21+1+2.21
Jan 24@ STL5-35.542.54+3.00+2-1.00
Jan 26@ WPG3-23.192.22+0.97+1+0.03
Jan 28@ MIN2-32.183.71-1.530+1.53
Feb 1vs CAR1-52.844.00-1.16-4-2.84
Feb 11vs CGY2-73.324.13-0.81-5-4.19
Feb 13@ LAK2-53.212.49+0.72-3-3.72
Feb 15@ ANA7-34.852.25+2.60+4+1.40
Feb 18@ SJS4-24.153.48+0.67+2+1.33
Feb 21vs TOR3-62.634.75-2.12-3-0.88
Feb 23@ TBL6-52.545.94-3.40+1+4.40
Feb 24@ FLA3-13.214.68-1.47+2+3.47
Feb 26vs WSH7-44.712.87+1.84+3+1.16
Feb 28vs CBJ3-53.943.77+0.17-2-2.17
Mar 2@ BOS1-72.266.59-4.33-6-1.67
Mar 4vs TBL5-33.693.00+0.69+2+1.31
Mar 6vs EDM2-34.583.94+0.64-1-1.64
Mar 7@ NYI2-31.912.96-1.05-1+0.05
Mar 9vs DAL4-102.805.09-2.29-6-3.71
Mar 11vs NYR1-23.372.45+0.92-1-1.92
Mar 13@ TOR4-34.032.00+2.03+1-1.03
Mar 15@ WSH4-53.673.49+0.180-0.18
Mar 17@ PHI2-52.741.87+0.87-3-3.87
Mar 19vs BOS0-72.833.97-1.14-7-5.86
Mar 21vs NSH3-73.994.08-0.09-4-3.91
Mar 24vs NJD5-42.983.20-0.22+1+1.22
Mar 25@ NYI2-04.041.89+2.15+2-0.15
Mar 27vs MTL3-42.164.80-2.640+2.64
Mar 31vs NYR3-23.323.50-0.18+1+1.18
Apr 1@ PHI6-33.553.52+0.03+3+2.97
Apr 4@ FLA1-23.524.13-0.61-1-0.39
Apr 6@ DET7-63.593.33+0.260-0.26
Apr 8vs CAR4-32.783.77-0.99+1+1.99
Apr 10@ NYR3-24.963.19+1.770-1.77
Apr 11@ NJD2-62.974.88-1.91-4-2.09
Apr 13vs OTT4-33.882.92+0.96+1+0.04
Apr 14@ CBJ5-25.103.18+1.92+3+1.08

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.