Team Stats

2021–22 Regular Season

Coach: Don Granato
Total Players: 40
Related2021–22 game results2021–22 standings
Season Summary

32-39-11, 75 points, a -58 goal differential.

PDO
0.988 at 5v5; about 0.998 is sustainable
BEST LINE
Olofsson–Asplund–Mittelstadt, 52.8% of 5v5 xG and 11-4 on goals
BEST PAIR
Bryson–Dahlin, 57.6% of 5v5 xG and 7-4 on goals
PENALTIES
Drew 275, took 263 (+12)
Team Totals
229
287
-58
21.2%
76.4%
46.0%
3.50
8.1%
.907
0.988
GF
GA
DIFF
PP%
PK%
FO%
GAA
S% (5v5)
SV% (5v5)
PDO (5v5)
NHL
22nd
25th
26th
16th
23rd
32nd
25th
21st
29th
29th
CONF
11th
11th
13th
8th
13th
16th
11th
12th
15th
15th
DIV
5th
6th
6th
5th
6th
8th
6th
6th
8th
8th
ALL-TIME
17th pct
14th pct
12th pct
70th pct
11th pct
20th pct
62nd pct
15th pct

All-time is where 2021–22 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.

Olofsson–Asplund–Mittelstadt
Best Line
52.8% of xG (5.19 to 4.64), 11-4 on goals and 125-109 on attempts in 163:07 together. Olofsson, Mittelstadt and Asplund scored 8 goals with the line out. Small sample.
Bryson–Dahlin
Best D Pair
57.6% of xG (4.76 to 3.50), 7-4 on goals and 119-103 on attempts in 131:15 together. Small sample.
Goal differential
LEAGUE MED +8BUF -58-103+95
One dot per NHL team.
PDO (5v5)
LEAGUE MED 0.999BUF 0.9880.9811.024
One dot per NHL team.
Team Leaders
40
ASSISTS
+3
PLUS/MINUS
24:01
TOI/G
15
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
0.07.915.823.731.6010213141Expected goals (ixG)Goals

33 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
0275480107Michael HouserMichael Houser: 5.7 xGAMichael Houser: 4 Goals Against (+1.7 vs expected)4 / 5.7Ukko-Pekka LuukkonenUkko-Pekka Luukkonen: 23.5 xGAUkko-Pekka Luukkonen: 23 Goals Against (+0.5 vs expected)23 / 23.5Craig AndersonCraig Anderson: 95.8 xGACraig Anderson: 97 Goals Against (-1.2 vs expected)97 / 95.8Malcolm SubbanMalcolm Subban: 13.3 xGAMalcolm Subban: 17 Goals Against (-3.7 vs expected)17 / 13.3Aaron DellAaron Dell: 34.0 xGAAaron Dell: 38 Goals Against (-4.0 vs expected)38 / 34.0Dustin TokarskiDustin Tokarski: 85.7 xGADustin Tokarski: 91 Goals Against (-5.3 vs expected)91 / 85.7
Games 1 (Oct 14) to 82 (Apr 29)

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.

-51.3-23.8+3.7Oct 14Oct 31Nov 16Nov 29Dec 16Jan 13Jan 29Feb 19Mar 6Mar 23Apr 5Apr 17vs MTL 5-1 Wvs ARI 2-1 Wvs VAN 5-2 Wvs BOS 1-4 L@ NJD 1-2 Lvs TBL 5-1 W@ ANA 4-3 W@ LAK 2-3 L@ SJS 3-5 L@ SEA 2-5 Lvs DET 3-4 L@ WSH 3-5 Lvs EDM 3-2 Wvs TOR 4-5 L@ PIT 2-1 Wvs CGY 0-5 L@ NYR 4-5 Lvs CBJ 4-7 Lvs BOS 1-5 Lvs MTL 4-1 W@ DET 2-3 Lvs SEA 4-7 L@ FLA 4-7 L@ CAR 2-6 Lvs ANA 0-2 Lvs NYR 1-2 Lvs WSH 2-3 L@ WPG 4-2 W@ MIN 3-2 W@ PIT 2-3 Lvs NJD 3-4 L@ NYI 1-4 L@ BOS 3-4 Lvs SJS 2-3 Lvs TBL 1-6 L@ NSH 4-1 W@ DET 0-4 Lvs DET 2-3 L@ OTT 3-1 Wvs DAL 4-5 Lvs PHI 6-3 W@ OTT 0-5 L@ ARI 3-1 W@ COL 1-4 L@ VGK 2-5 Lvs CBJ 3-4 L@ MTL 5-3 Wvs NYI 6-3 Wvs OTT 1-3 Lvs COL 3-5 L@ CBJ 3-7 L@ MTL 0-4 L@ STL 3-5 L@ DAL 2-4 L@ TOR 5-1 Wvs MIN 5-4 Wvs LAK 0-3 Lvs FLA 1-6 Lvs VGK 3-1 Wvs TOR 5-2 W@ EDM 1-6 L@ CGY 1-0 W@ VAN 3-2 Wvs PIT 4-3 Wvs WSH 3-4 L@ NYR 4-5 L@ CHI 6-5 Wvs WPG 2-3 Lvs NSH 4-3 Wvs FLA 3-5 Lvs CAR 4-2 W@ CAR 3-5 L@ FLA 3-4 L@ TBL 0-5 L@ TOR 5-2 Wvs STL 2-6 Lvs PHI 4-3 W@ PHI 5-3 W@ NJD 5-2 Wvs NYI 5-3 W@ BOS 0-5 Lvs CHI 3-2 WGamexG Differential (cumulative)

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

Shot Map

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

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

Win DNA

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

How this is measured

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

32-50 in 82 decided games, 2021–22 regular season, with 11 of those losses in overtime or a shootout.
Wins (32)Losses (50, 11 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 (32)LOSSES (50)
Forward goals3.561.74
Defense goals0.440.28
Forward points8.064.00
Defense points2.191.48
Different goal scorers3.341.82
D share of points21%27%
D share of shots22%25%

Goal Differential Breakdown

Buffalo finished -58 over 82 games. Biggest pieces: even-strength shot volume -17.3, goaltending -15.0.

Added goalsCost goalsGoal differentialWhisker: one standard deviation of shot-outcome noise.
-60-40-200Goals0Start-17.3Even-strengthshot volume-11.4Even-strengthshot quality+2.3Penaltydifferential-9.5Power playefficiency-6.5Penalty killefficiency+3.3Finishing-15.0Goaltending-4.0Goaliepulled+0.1Unmodeled-58Goaldifferential
2021–22 REGULAR SEASON, GOALS
COMPONENTGOALSNOISE (ONE SD)REPEATS
Even-strength shot volume-17.3±4.5Usually
Even-strength shot quality-11.4n/aUsually
Penalty differential+2.3n/aSometimes
Power play efficiency-9.5n/aUsually
Penalty kill efficiency-6.5n/aUsually
Finishing+3.3±13.5Sometimes
Goaltending-15.0±14.7Sometimes
Goalie pulled-4.0n/aNot a skill
Unmodeled+0.1n/an/a
Goal differential-58n/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.
  • 229 for, 287 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 -58.
  • Even-strength volume is priced at the league's average even-strength attempt for the season (0.0604 xG in 2021-22), 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 0.0657 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 -12.0 against -15.0 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: Olofsson–Asplund–Mittelstadt, 52.8% 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–Thompson41373:0719.4514.9956.5%282937634851.9%3.7%12.3%310278240196
Okposo–Eakin–Girgensons26238:046.747.8646.2%91015720543.4%-5.4%0.5%129167100128
Skinner–Olofsson–Thompson24235:489.1812.6442.1%151823724449.3%0.8%-4.0%172206129150
Olofsson–Asplund–Mittelstadt18163:075.194.6452.8%11412510953.4%5.0%7.3%104937963
Hinostroza–Krebs–Cozens16138:153.024.2841.3%5610511747.3%-1.3%-4.6%77985468
Eakin–Hayden–Bjork20138:012.115.2828.6%247315731.7%-17.4%-17.6%561214283
Okposo–Murray–Cozens11115:244.033.4753.7%639510747.0%-1.6%8.2%74855563
Hinostroza–Caggiula–Cozens11105:312.715.0235.1%69968752.5%4.1%-11.0%73685258
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Defense Pairs
Best at 5v5: Bryson–Dahlin, 57.6% of xG and 7-4 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–Dahlin51655:1121.5226.2545.0%263257960349.0%0.6%-0.8%447500350354
Miller–Bryson31343:329.7612.4943.9%121426829447.7%-0.9%-2.0%203230145168
Pysyk–Hagg41338:319.8510.9847.3%81227732246.2%-2.5%1.7%204241151180
Pysyk–Dahlin34226:485.838.1041.8%9919720149.5%1.0%-4.1%151160106123
Fitzgerald–Samuelsson25215:375.9310.8735.3%72316920744.9%-3.8%-11.1%135166102135
Butcher–Dahlin26185:455.488.1040.3%71016116649.2%0.7%-5.7%12214290109
Bryson–Samuelsson29166:425.174.8651.6%13813514348.6%0.1%6.1%981148576
Jokiharju–Bryson24142:075.615.8748.9%7613612152.9%4.5%3.4%901007173
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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. 2021–22 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
DAHLIN APART
IMPACT
TOI TogetherCF%xGF%CF%xGF%Δ CF%Δ xGF%
Jokiharju
659:2148.8%44.9%
51.2%46.8%
-2.4-1.9
Skinner
479:3549.8%46.3%
50.3%45.7%
-0.5+0.6
Thompson
460:1249.6%47.0%
50.4%45.3%
-0.8+1.7
Asplund
361:0054.6%50.7%
48.8%44.7%
+5.8+6.0
Cozens
359:1852.0%43.8%
49.5%46.6%
+2.5-2.8
Olofsson
345:1049.4%41.3%
50.3%47.4%
-0.9-6.1
Okposo
328:1450.1%48.3%
50.1%45.4%
0.0+2.9
Tuch
309:0853.1%54.5%
49.3%43.1%
+3.8+11.4
Eakin
251:3945.4%43.0%
50.9%46.4%
-5.5-3.4
Hinostroza
250:5649.7%42.6%
50.2%46.6%
-0.5-4.0
Pysyk
229:1048.7%41.3%
50.4%46.7%
-1.7-5.4
Girgensons
226:3052.1%52.4%
49.8%45.0%
+2.3+7.4
Krebs
217:0746.8%45.2%
50.7%46.1%
-3.9-0.9
Bjork
204:2848.4%45.4%
50.4%46.0%
-2.0-0.6
Butcher
186:0349.1%40.3%
50.3%46.8%
-1.2-6.5
Mittelstadt
182:0050.8%50.7%
50.0%45.3%
+0.8+5.4
Hayden
179:4247.9%41.9%
50.4%46.4%
-2.5-4.5
Samuelsson
138:5654.5%52.1%
49.7%45.3%
+4.8+6.8
Bryson
134:3053.5%57.5%
49.8%44.9%
+3.7+12.6
Murray
81:1548.9%37.0%
50.2%46.4%
-1.3-9.4
Ruotsalainen
68:5551.6%37.5%
50.0%46.4%
+1.6-8.9
Caggiula
68:0752.5%31.3%
50.0%46.6%
+2.5-15.3
Fitzgerald
65:5349.2%44.9%
50.2%46.0%
-1.0-1.1
Jankowski
61:0249.0%35.7%
50.2%46.4%
-1.2-10.7
Miller
38:1352.2%52.3%
50.1%45.8%
+2.1+6.5
Hagg
31:5346.4%44.3%
50.2%46.0%
-3.8-1.7

Shift Profile

Shift length and on-ice results, 2021–22 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. Dahlin8023130:5044.2%26.6%47.8%58.6%+3193169+3s250 (49 to whistle)345
J. Bryson7318540:4356.7%16.8%49.1%44.5%-4122119+3s176 (38 to whistle)195
T. Thompson7817410:4843.6%24.9%49.5%58.5%+4187157+2s204 (39 to whistle)67
H. Jokiharju6017150:4652.9%21.0%46.2%45.9%+1101190-1s163 (37 to whistle)236
J. Skinner8016690:4943.3%28.0%53.5%58.7%020152+2s224 (55 to whistle)73
M. Pysyk6816320:4554.8%19.1%44.1%35.1%-1135194+5s168 (44 to whistle)126
K. Okposo7416170:4647.2%19.2%43.8%53.1%-3170196+3s151 (34 to whistle)50
D. Cozens7915980:4743.5%24.1%53.0%50.6%-218594+1s200 (46 to whistle)64
R. Asplund8015200:4548.8%19.9%54.8%51.7%+2109120+2s178 (34 to whistle)51
V. Olofsson7214160:4746.7%22.8%54.6%59.2%+316542+1s161 (37 to whistle)34
C. Eakin6913070:4355.3%15.1%41.6%30.0%-772151+3s112 (20 to whistle)34
Z. Girgensons5611480:4353.7%15.9%45.5%51.3%-195147+2s95 (16 to whistle)38
A. Tuch5011390:4844.2%25.2%48.2%58.7%+3125135+1s112 (17 to whistle)51
M. Samuelsson4211320:4555.7%20.8%44.9%36.3%033141+6s133 (35 to whistle)126
V. Hinostroza6211080:4743.2%25.2%46.7%45.6%-36864-1s170 (40 to whistle)43
R. Hagg4810550:4650.6%22.4%41.0%32.9%-817163+6s140 (49 to whistle)53
C. Miller389290:4747.9%21.9%48.3%45.9%-48367-1s106 (31 to whistle)77
A. Bjork589160:4645.7%22.9%44.2%38.5%-83060+2s150 (34 to whistle)27
P. Krebs489030:4744.3%23.0%47.3%52.2%-110928+3s100 (21 to whistle)30
C. Fitzgerald368470:4357.1%16.2%49.4%39.8%-11974+2s78 (11 to whistle)97
J. Hayden558320:4355.5%15.9%47.9%24.4%-22365+2s93 (23 to whistle)18
C. Mittelstadt408100:4841.6%24.1%44.7%59.3%-610056+2s92 (20 to whistle)38
W. Butcher377600:4844.9%24.9%55.0%44.2%-33617+8s115 (27 to whistle)74
M. Jankowski193680:4257.3%14.9%41.9%28.4%01362+1s27 (4 to whistle)9
D. Caggiula183540:4547.2%23.2%48.4%39.7%-31647+1s51 (13 to whistle)18
B. Murray193250:4546.2%20.9%44.2%40.8%-2214+5s46 (12 to whistle)10
A. Ruotsalainen182820:4650.0%23.8%53.1%43.4%-11618+4s47 (13 to whistle)10
O. Power82250:4746.7%23.6%58.5%49.1%+11225+6s21 (6 to whistle)23
E. Prow4770:4055.8%11.7%40.0%33.3%+117+10s9 (5 to whistle)6
J. Peterka2420:4647.6%21.4%58.8%31.3%-120+3s7 (1 to whistle)1
J. Quinn2400:4545.0%25.0%31.6%33.3%+160-4s21
B. Biro1170:4841.2%17.6%75.0%50.0%020-1s20
R. MacInnis1120:5025.0%16.7%100.0%0.0%000+10s2 (1 to whistle)0
C. Wolanin1110:4554.5%18.2%50.0%20.0%000+39s2 (1 to whistle)1

Skaters

PlayerNo.GPGAPTS+/-PIMPPSHGWGSOGG/60A/60P/60SOG/60S%FO%TOI/GxGxG/60GAx
Tage Thompson7278383068-173710242531.631.292.9310.8815.0%40.3%17:5328.11.21+10.0
Jeff Skinner5380333063-14425042621.451.322.7611.4912.6%40.6%17:0629.21.28+3.8
Rasmus Dahlin2680134053-22683031700.411.251.665.317.6%0.0%24:019.10.28+3.9
Victor Olofsson7172202949-1667061641.081.572.658.8812.2%0.0%15:2316.90.91+3.1
Kyle Okposo2174212445-15438211741.011.162.178.4112.1%49.7%16:4715.60.75+5.4
Alex Tuch8950122638-3142101390.781.692.489.068.6%39.1%18:2518.11.18-6.1
Dylan Cozens2479132538-19552011600.621.191.827.658.1%45.6%15:5417.60.84-4.6
Rasmus Asplund748081927-5102111300.421.001.426.836.2%42.6%14:1713.60.71-5.6
Vinnie Hinostroza2962131225-1124102920.910.841.746.4214.1%42.9%13:528.70.61+4.3
Peyton Krebs194871522-2020002460.591.271.863.9015.2%35.2%14:455.10.43+1.9
Casey Mittelstadt374061319-144101790.561.211.777.357.6%44.7%16:076.90.64-0.9
Henri Jokiharju106031619-820000830.140.730.873.793.6%0.0%21:533.30.15-0.3
Zemgus Girgensons285610818-727301920.720.581.306.6710.9%49.8%14:479.00.65+1.0
Colin Miller333821214-221000480.171.001.163.994.2%0.0%18:592.00.160.0
Cody Eakin20694812-1522101740.260.510.774.745.4%56.0%13:356.00.39-2.0
Mark Pysyk13683912-416000640.150.450.593.174.7%0.0%17:494.00.20-1.0
Jacob Bryson78731910-912100430.040.400.451.932.3%0.0%18:201.60.07-0.6
Mattias Samuelsson234201010-1016000440.000.710.713.140.0%0.0%20:002.40.17-2.3
Will Butcher437268-100000350.200.590.793.445.7%0.0%16:292.40.24-0.4
Robert Hagg848178-925000450.070.510.593.312.2%0.0%17:011.80.14-0.8
Anders Bjork1558538-1410000510.430.260.694.389.8%20.0%12:025.40.46-0.4
Brett Murray8119246-323000140.490.971.463.4014.3%0.0%12:592.80.67-0.8
Casey Fitzgerald4536066-1936000410.000.590.594.050.0%0.0%16:531.70.17-1.7
Mark Jankowski1719235+24001140.460.691.163.2414.3%48.0%13:391.90.43+0.1
Drake Caggiula9118235-44001230.460.681.145.248.7%25.0%14:381.50.35+0.5
John Hayden1555224-1284000650.200.200.406.543.1%22.2%10:516.30.63-4.3
Arttu Ruotsalainen18224-16000230.560.561.126.458.7%42.5%11:531.80.51+0.2
Owen Power258213+32000100.680.341.023.4020.0%0.0%22:050.90.32+1.1
Jack Quinn2221120010062.022.024.0312.1016.7%0.0%14:530.40.77+0.6
Ethan Prow64101-1000021.180.001.182.3650.0%0.0%12:440.10.16+0.9
Ryan MacInnis4910000000020.000.000.0012.000.0%0.0%10:000.10.84-0.1
Christian Wolanin861000-2000000.000.000.000.000.0%8:18
Brandon Biro1710000000000.000.000.000.000.0%13:300.00.090.0
JJ Peterka7720000000030.000.000.005.580.0%0.0%16:080.40.78-0.4
Total2293736026514762924519.3%

Goalies

PlayerNo.GPWLOTLGAASV%SOxGAGSAx
Craig Anderson4131171223.12.897095.8-1.2
Dustin Tokarski3129101253.27.899185.7-5.3
Michael Houser3222002.00.94805.7+1.7
Ukko-Pekka Luukkonen192522.74.917023.5+0.5
Aaron Dell80121814.03.895034.0-4.0
Malcolm Subban4740214.85.871013.3-3.7
Total3239111

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 14vs MTL5-13.101.95+1.15+4+2.85
Oct 16vs ARI2-13.171.52+1.650-1.65
Oct 19vs VAN5-23.812.95+0.86+3+2.14
Oct 22vs BOS1-42.592.83-0.24-3-2.76
Oct 23@ NJD1-23.223.60-0.38-1-0.62
Oct 25vs TBL5-13.382.73+0.65+4+3.35
Oct 28@ ANA4-32.733.58-0.85+1+1.85
Oct 31@ LAK2-31.654.76-3.11-1+2.11
Nov 2@ SJS3-51.352.47-1.12-2-0.88
Nov 4@ SEA2-51.104.15-3.05-3+0.05
Nov 6vs DET3-42.753.46-0.71-1-0.29
Nov 8@ WSH3-52.423.47-1.05-2-0.95
Nov 12vs EDM3-21.992.24-0.25+1+1.25
Nov 13vs TOR4-52.231.96+0.27-1-1.27
Nov 16@ PIT2-11.714.30-2.59+1+3.59
Nov 18vs CGY0-51.672.73-1.06-5-3.94
Nov 21@ NYR4-51.364.16-2.80-1+1.80
Nov 22vs CBJ4-73.213.30-0.09-3-2.91
Nov 24vs BOS1-51.633.42-1.79-4-2.21
Nov 26vs MTL4-14.583.10+1.48+3+1.52
Nov 27@ DET2-31.404.22-2.82-1+1.82
Nov 29vs SEA4-72.683.48-0.80-3-2.20
Dec 2@ FLA4-73.006.36-3.36-3+0.36
Dec 4@ CAR2-63.523.74-0.22-4-3.78
Dec 7vs ANA0-22.421.03+1.39-2-3.39
Dec 10vs NYR1-23.182.49+0.69-1-1.69
Dec 11vs WSH2-33.082.67+0.410-0.41
Dec 14@ WPG4-23.004.38-1.38+2+3.38
Dec 16@ MIN3-23.293.46-0.170+0.17
Dec 17@ PIT2-31.334.46-3.13-1+2.13
Dec 29vs NJD3-42.172.86-0.69-1-0.31
Dec 30@ NYI1-43.223.10+0.12-3-3.12
Jan 1@ BOS3-41.883.85-1.97-1+0.97
Jan 6vs SJS2-32.401.74+0.66-1-1.66
Jan 11vs TBL1-61.403.67-2.27-5-2.73
Jan 13@ NSH4-12.672.75-0.08+3+3.08
Jan 15@ DET0-41.864.34-2.48-4-1.52
Jan 17vs DET2-33.173.30-0.13-1-0.87
Jan 18@ OTT3-12.783.18-0.40+2+2.40
Jan 20vs DAL4-52.574.11-1.54-1+0.54
Jan 22vs PHI6-32.832.52+0.31+3+2.69
Jan 25@ OTT0-51.854.14-2.29-5-2.71
Jan 29@ ARI3-13.933.95-0.02+2+2.02
Jan 30@ COL1-42.494.24-1.75-3-1.25
Feb 1@ VGK2-52.644.29-1.65-3-1.35
Feb 10vs CBJ3-42.011.94+0.07-1-1.07
Feb 13@ MTL5-32.352.99-0.64+2+2.64
Feb 15vs NYI6-34.082.48+1.60+3+1.40
Feb 17vs OTT1-31.983.12-1.14-2-0.86
Feb 19vs COL3-52.765.09-2.33-2+0.33
Feb 20@ CBJ3-72.784.70-1.92-4-2.08
Feb 23@ MTL0-42.203.83-1.63-4-2.37
Feb 25@ STL3-53.143.54-0.40-2-1.60
Feb 27@ DAL2-42.763.77-1.01-2-0.99
Mar 2@ TOR5-12.391.77+0.62+4+3.38
Mar 4vs MIN5-43.902.35+1.55+1-0.55
Mar 6vs LAK0-31.993.56-1.57-3-1.43
Mar 7vs FLA1-62.673.74-1.07-5-3.93
Mar 10vs VGK3-13.142.92+0.22+2+1.78
Mar 13vs TOR5-24.614.06+0.55+3+2.45
Mar 17@ EDM1-61.864.66-2.80-5-2.20
Mar 18@ CGY1-02.592.73-0.14+1+1.14
Mar 20@ VAN3-23.132.64+0.49+1+0.51
Mar 23vs PIT4-33.052.45+0.600-0.60
Mar 25vs WSH3-42.943.72-0.780+0.78
Mar 27@ NYR4-51.254.56-3.31-1+2.31
Mar 28@ CHI6-52.971.69+1.28+1-0.28
Mar 30vs WPG2-34.663.39+1.270-1.27
Apr 1vs NSH4-33.641.91+1.73+1-0.73
Apr 3vs FLA3-52.753.76-1.01-2-0.99
Apr 5vs CAR4-23.103.17-0.07+2+2.07
Apr 7@ CAR3-53.015.04-2.03-2+0.03
Apr 8@ FLA3-41.583.59-2.01-1+1.01
Apr 10@ TBL0-52.953.73-0.78-5-4.22
Apr 12@ TOR5-24.062.87+1.19+3+1.81
Apr 14vs STL2-64.583.04+1.54-4-5.54
Apr 16vs PHI4-32.431.79+0.64+1+0.36
Apr 17@ PHI5-34.744.36+0.38+2+1.62
Apr 21@ NJD5-22.913.25-0.34+3+3.34
Apr 23vs NYI5-33.561.76+1.80+2+0.20
Apr 28@ BOS0-52.443.82-1.38-5-3.62
Apr 29vs CHI3-23.332.05+1.28+1-0.28

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.