Team Stats

2024–25 Regular Season

Coach: Lindy Ruff
Total Players: 33
Related2024–25 game results2024–25 standings
Season Summary

36-39-7, 79 points, a -22 goal differential.

BEST LINE
Thompson–Kulich–Benson, 63.4% of 5v5 xG and 7-6 on goals
BEST PAIR
Dahlin–Byram, 55.6% of 5v5 xG and 34-15 on goals
PENALTIES
Drew 314, took 330 (-16)
Team Totals
265
287
-22
18.8%
76.3%
47.8%
3.50
10.6%
.899
1.005
GF
GA
DIFF
PP%
PK%
FO%
GAA
S% (5v5)
SV% (5v5)
PDO (5v5)
NHL
10th
29th
23rd
24th
23rd
26th
29th
2nd
29th
11th
CONF
6th
15th
11th
11th
13th
15th
15th
2nd
14th
6th
DIV
3rd
8th
6th
7th
6th
8th
8th
1st
8th
3rd
ALL-TIME
81st pct
8th pct
25th pct
45th pct
9th pct
45th pct
91st pct
3rd pct

All-time is where 2024–25 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.

Thompson–Kulich–Benson
Best Line
63.4% of xG (4.19 to 2.42), 7-6 on goals and 115-112 on attempts in 111:14 together. Thompson and Kulich scored 7 goals with the line out. Small sample.
Dahlin–Byram
Best D Pair
55.6% of xG (19.37 to 15.48), 34-15 on goals and 639-542 on attempts in 603:27 together. Byram and Dahlin scored 9 goals with the pair out.
Goal differential
LEAGUE MED -3BUF -22-102+85
One dot per NHL team.
PDO (5v5)
LEAGUE MED 0.998BUF 1.0050.9701.025
One dot per NHL team.
Team Leaders
51
ASSISTS
+16
PLUS/MINUS
24:14
TOI/G
+3.3
GSAX
28
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
0.07.615.122.730.2012243648Expected goals (ixG)Goals

29 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
04793140186James ReimerJames Reimer: 63.3 xGAJames Reimer: 60 Goals Against (+3.3 vs expected)60 / 63.3Devon LeviDevon Levi: 24.2 xGADevon Levi: 33 Goals Against (-8.8 vs expected)33 / 24.2Ukko-Pekka LuukkonenUkko-Pekka Luukkonen: 154.0 xGAUkko-Pekka Luukkonen: 169 Goals Against (-15.0 vs expected)169 / 154.0
Games 1 (Oct 4) to 82 (Apr 17)

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.

-33.3-15.1+3.0Oct 4Oct 22Nov 9Nov 27Dec 11Dec 27Jan 11Jan 28Feb 27Mar 12Mar 27Apr 10vs NJD 1-4 L@ NJD 1-3 Lvs LAK 1-3 Lvs FLA 5-2 W@ PIT 5-6 L@ CBJ 4-6 L@ CHI 4-2 Wvs DAL 4-2 Wvs DET 5-3 Wvs FLA 2-5 Lvs NYI 3-4 L@ DET 1-2 Lvs OTT 5-1 W@ NYR 6-1 Wvs CGY 3-2 Wvs MTL 5-7 Lvs STL 4-3 W@ PHI 2-5 L@ LAK 1-0 W@ ANA 3-2 W@ SJS 4-2 Wvs MIN 0-1 Lvs VAN 3-4 L@ NYI 0-3 Lvs COL 4-5 Lvs WPG 2-3 Lvs UTA 2-5 Lvs DET 5-6 Lvs NYR 2-3 L@ WSH 2-4 L@ TOR 3-5 L@ MTL 1-6 Lvs TOR 3-6 L@ BOS 1-3 L@ NYI 7-1 Wvs CHI 6-2 W@ STL 4-2 W@ DAL 2-4 L@ COL 5-6 L@ VGK 1-3 Lvs WSH 4-3 W@ OTT 4-0 Wvs SEA 2-6 Lvs CAR 4-2 Wvs PIT 2-5 L@ SEA 4-6 L@ VAN 3-2 W@ CGY 2-5 L@ EDM 2-3 Lvs BOS 7-2 Wvs NSH 4-3 Wvs NJD 4-3 Wvs CBJ 3-2 W@ NSH 4-6 Lvs NYR 8-2 Wvs ANA 3-2 W@ CAR 2-5 Lvs MTL 2-4 L@ MTL 3-4 Lvs SJS 2-6 L@ TBL 5-6 L@ FLA 0-4 Lvs EDM 3-2 W@ DET 3-7 Lvs VGK 4-3 W@ BOS 3-2 W@ UTA 2-5 L@ MIN 1-4 L@ WPG 5-3 Wvs OTT 3-2 Wvs PIT 7-3 W@ PHI 4-7 L@ WSH 8-5 W@ OTT 5-2 Wvs TBL 3-2 Wvs BOS 6-3 Wvs CAR 3-0 W@ CBJ 2-3 L@ FLA 2-3 L@ TBL 4-7 Lvs TOR 0-4 Lvs PHI 5-4 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.

36-46 in 82 decided games, 2024–25 regular season, with 7 of those losses in overtime or a shootout.
Wins (36)Losses (46, 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 (36)LOSSES (46)
Forward goals3.781.93
Defense goals0.560.43
Forward points7.944.61
Defense points3.221.78
Different goal scorers3.642.22
D share of points29%28%
D share of shots25%30%

Goal Differential Breakdown

Buffalo finished -22 over 82 games. Biggest pieces: finishing +29.0, goaltending -20.8.

Added goalsCost goalsGoal differentialWhisker: one standard deviation of shot-outcome noise.
-200+20Goals0Start-3.6Even-strengthshot volume-11.6Even-strengthshot quality-1.4Penaltydifferential-3.2Power playefficiency-0.3Penalty killefficiency+29.0Finishing-20.8Goaltending-10.0Goaliepulled-0.1Unmodeled-22Goaldifferential
2024–25 REGULAR SEASON, GOALS
COMPONENTGOALSNOISE (ONE SD)REPEATS
Even-strength shot volume-3.6±4.4Usually
Even-strength shot quality-11.6n/aUsually
Penalty differential-1.4n/aSometimes
Power play efficiency-3.2n/aUsually
Penalty kill efficiency-0.3n/aUsually
Finishing+29.0±13.5Sometimes
Goaltending-20.8±14.0Sometimes
Goalie pulled-10.0n/aNot a skill
Unmodeled-0.1n/an/a
Goal differential-22n/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.
  • 265 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 -22.
  • Even-strength volume is priced at the league's average even-strength attempt for the season (0.0582 xG in 2024-25), and penalty differential at the league's net xG per power-play minute (0.096), both measured over every game in the league with the same model. Over the games covered, Buffalo's own games averaged 0.0604 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 -20.5 against -20.8 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. 78 of 82 games have shift data; the 4 games without a shift chart are left out of every column here.

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: Thompson–Kulich–Benson, 63.4% of xG and 7-6 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
Tuch–Thompson–Peterka23185:046.845.4155.8%11821717155.9%6.3%9.8%1511129983
Thompson–Peterka–Kulich26150:265.365.9547.4%17918015853.3%3.6%0.9%1431149076
Zucker–Greenway–McLeod19149:023.815.0842.9%11915214351.5%1.7%-3.8%1141026478
Lafferty–Malenstyn–Krebs28126:262.073.6236.4%3410512046.7%-3.3%-10.4%67844251
McLeod–Quinn–Peterka16116:103.294.0744.7%1069314738.8%-11.5%-1.9%731084370
Thompson–Kulich–Benson11111:144.192.4263.4%7611511250.7%0.8%17.4%75755845
Cozens–Quinn–Peterka21110:032.984.3940.5%689910947.6%-2.4%-6.3%77825262
Zucker–Tuch–Thompson13107:053.413.8547.0%748813439.6%-10.6%0.5%66924259
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Defense Pairs
Best at 5v5: Dahlin–Byram, 55.6% of xG and 34-15 on goals (min 100:00 together and 0.25 xG, half that with a goal; units ahead on goals rank first, then the best mix of xG share and on-ice goals, weighted two to one).
LineGPTOIxGFxGAxG%GFGACFCACF%CF% RelxGF% RelFFFASFSA
Dahlin–Byram64603:2719.3715.4855.6%341563954254.1%5.0%10.8%476384322243
Samuelsson–Power36308:237.6711.0041.1%141326631345.9%-4.3%-6.0%200227128157
Byram–Power65282:377.5910.8041.3%191930828651.9%2.2%-5.8%205213131143
Samuelsson–Dahlin40272:547.447.7748.9%121225426648.8%-1.2%2.5%182187123117
Jokiharju–Power38233:445.185.9146.7%9624924850.1%0.2%0.1%175185106120
Clifton–Bryson33230:024.417.9735.6%141420125044.6%-5.7%-11.7%13417976116
Clifton–Byram47185:555.345.4149.7%11814618843.7%-6.5%3.3%1061387388
Clifton–Samuelsson40173:544.424.7448.3%41016618846.9%-3.2%1.8%1191347087
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With or Without You

Buffalo's 5v5 CF% and xGF% with Byram 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. 2024–25 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. 78 of 82 games have shift data; the 4 games without a shift chart are left out of every column here.

Teammate
TOGETHER
BYRAM APART
IMPACT
TOI TogetherCF%xGF%CF%xGF%Δ CF%Δ xGF%
Dahlin
608:0554.2%55.5%
46.3%43.4%
+7.9+12.1
Thompson
448:2750.3%53.2%
49.4%46.2%
+0.9+7.0
Tuch
403:5149.4%52.9%
49.9%46.7%
-0.5+6.2
Peterka
388:0048.5%45.1%
50.2%49.7%
-1.7-4.6
McLeod
367:3047.7%49.2%
50.4%48.2%
-2.7+1.0
Zucker
340:2248.9%50.3%
50.0%47.7%
-1.1+2.6
Benson
323:2456.3%50.1%
47.7%47.9%
+8.6+2.2
Krebs
318:0650.4%44.8%
49.6%49.6%
+0.8-4.8
Kulich
296:2752.9%52.3%
48.8%47.2%
+4.1+5.1
Quinn
295:0647.3%39.8%
50.4%50.9%
-3.1-11.1
Power
286:1751.8%41.6%
49.2%50.4%
+2.6-8.8
Cozens
279:1449.5%47.0%
49.8%48.8%
-0.3-1.8
Malenstyn
221:4847.1%47.0%
50.2%48.7%
-3.1-1.7
Clifton
189:1243.4%50.5%
50.6%48.1%
-7.2+2.4
Lafferty
173:4350.5%50.0%
49.6%48.3%
+0.9+1.7
Greenway
153:5251.2%54.7%
49.6%47.7%
+1.6+7.0
Bryson
111:4042.6%46.3%
50.3%48.6%
-7.7-2.3
Jokiharju
100:1544.5%37.0%
50.1%49.2%
-5.6-12.2
Kozak
72:0537.1%40.1%
50.3%48.6%
-13.2-8.5
Aube-Kubel
70:1647.6%29.1%
49.8%49.0%
-2.2-19.9
Samuelsson
57:3733.0%39.9%
50.4%48.9%
-17.4-9.0
Johnson
34:4537.8%34.8%
50.1%48.8%
-12.3-14.0
Rosen
24:1254.0%30.9%
49.7%48.7%
+4.3-17.8

Shift Profile

Shift length and on-ice results, 2024–25 regular season. Empty-net goals against are left out. 78 of 82 games have shift data; the 4 games without a shift chart are left out of every column here.

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
B. Byram7822150:4847.4%24.3%49.6%48.7%-3158239+5s260 (77 to whistle)326
O. Power7620380:4844.7%25.2%50.0%52.1%-3182193+3s245 (46 to whistle)249
R. Dahlin6919930:5047.8%27.5%51.5%63.1%+14152147+5s227 (56 to whistle)303
A. Tuch7819680:4650.3%20.2%52.4%52.6%+7196278+2s143 (26 to whistle)107
R. McLeod7517240:4452.2%16.9%45.2%42.9%-399275+1s132 (25 to whistle)95
T. Thompson7216970:4848.4%23.6%54.8%65.5%+1214376+3s152 (32 to whistle)85
J. Peterka7316190:4944.1%26.1%50.2%63.5%+1616748+3s168 (53 to whistle)89
P. Krebs7715300:4255.5%15.4%49.2%43.4%+192129+3s150 (30 to whistle)72
C. Clifton6914380:4649.5%23.1%43.6%38.2%-1218244+2s178 (47 to whistle)74
M. Samuelsson5814270:4749.9%24.2%42.9%34.0%-827208+5s194 (38 to whistle)138
Z. Benson7114250:4451.9%17.5%53.3%59.9%-3147120+5s122 (32 to whistle)57
J. Zucker6913900:4746.5%22.8%52.4%62.2%+816832+3s142 (26 to whistle)49
J. Quinn7013830:4550.6%21.3%47.6%58.5%+316740+2s131 (28 to whistle)62
D. Cozens6113790:4649.4%20.6%50.9%58.6%+3147108+4s120 (29 to whistle)48
J. Kulich5812070:4358.7%14.7%51.2%59.6%011428+3s73 (22 to whistle)58
B. Malenstyn7211200:4061.1%12.2%44.5%31.0%-337171+2s85 (20 to whistle)24
J. Bryson479700:4259.6%14.3%49.1%38.0%-51482+3s103 (30 to whistle)64
H. Jokiharju429460:4357.0%18.6%51.8%46.7%-12458+2s108 (28 to whistle)87
S. Lafferty568250:4059.8%12.5%47.8%38.4%-631570s66 (14 to whistle)14
J. Greenway347510:4163.0%13.3%52.4%26.2%-327126+2s45 (10 to whistle)44
D. Gilbert253850:3963.1%11.4%47.7%45.3%0231+5s30 (12 to whistle)23
T. Kozak213500:3867.4%8.3%38.8%33.9%-113190s21 (5 to whistle)9
N. Aube-Kubel192570:4253.7%17.5%47.4%47.6%085+3s36 (9 to whistle)3
J. Bernard-Docker112260:4258.0%16.4%41.5%55.8%+3180s23 (3 to whistle)12
I. Rosen81210:3869.4%5.0%54.5%23.1%060-3s35
J. Norris3740:4550.0%17.6%53.1%34.5%+149+6s3 (1 to whistle)5
R. Johnson3680:4748.5%23.5%56.3%20.5%013+24s12 (5 to whistle)7
N. Ostlund4560:4448.2%14.3%57.7%54.5%071-7s5 (2 to whistle)1
B. Murray3350:4162.9%14.3%25.0%37.5%-130-2s5 (2 to whistle)0
J. Dunne2250:3468.0%4.0%11.8%0.0%-101+4s1 (1 to whistle)2

Skaters

PlayerNo.GPGAPTS+/-PIMPPSHGWGSOGG/60A/60P/60SOG/60S%FO%TOI/GxGxG/60GAx
Tage Thompson7276442872-2357062421.851.183.0310.1918.2%42.8%18:4528.01.18+16.0
Rasmus Dahlin2673175168+11545012000.581.732.316.788.5%0.0%24:1411.00.37+6.0
JJ Peterka7777274168-1346031731.161.762.917.4115.6%16.7%18:1121.50.92+5.5
Alex Tuch8982363167+16473641961.371.182.557.4518.4%41.0%19:1526.10.99+10.0
Jason Zucker1773213253+45711041431.081.642.727.3514.7%39.6%16:0017.00.87+4.0
Ryan McLeod7179203353+1316032970.901.492.394.3820.6%52.3%16:5017.10.77+2.9
Owen Power257973340-13161001390.251.181.434.955.0%0.0%21:198.70.31-1.7
Jack Quinn2274152439-18183031230.821.312.136.7112.2%14.3%14:5215.40.84-0.4
Bowen Byram48273138+1146002940.231.001.233.037.4%0.0%22:426.80.22+0.2
Dylan Cozens2461112031-13622011390.631.141.777.947.9%50.6%17:1315.90.91-4.9
Peyton Krebs1981101828+160110800.530.961.494.2512.5%49.0%13:5610.80.58-0.8
Zach Benson975101828-2603001200.540.971.516.488.3%19.0%14:4914.50.78-4.5
Jiri Kulich206215924-4180031340.980.591.578.7711.2%45.5%14:4816.91.10-1.9
Connor Clifton757311516-645000630.050.770.823.231.6%0.0%16:033.30.17-2.3
Mattias Samuelsson236241014+322001520.200.500.702.617.7%0.0%19:181.70.08+2.3
Beck Malenstyn29764610-1629000670.300.450.755.026.0%55.9%10:325.80.44-1.8
Jordan Greenway1234358-445000360.350.590.944.218.3%20.6%15:043.50.41-0.5
Sam Lafferty8160437-1528000500.410.300.715.068.0%50.6%9:534.30.44-0.3
Jacob Bryson7848077-910000200.000.610.611.740.0%0.0%14:240.80.07-0.8
Henri Jokiharju1042336+612002440.260.260.533.866.8%0.0%16:181.50.13+1.5
Dennis Gilbert25055-35000050.001.191.191.190.0%0.0%10:040.20.04-0.2
Tyson Kozak4821325-22100110.820.541.363.0027.3%46.2%10:291.90.51+1.1
Jacob Bernard-Docker2415134+313000140.280.831.113.877.1%0.0%14:280.60.15+0.4
Nicolas Aube-Kubel19112-417000180.330.330.665.975.6%66.7%9:321.80.58-0.7
Josh Norris133112-11000021.081.082.152.1550.0%54.0%18:360.50.53+0.5
Isak Rosen8011-3000080.000.780.786.220.0%0.0%9:380.30.26-0.3
Brett Murray813000-2000000.000.000.000.000.0%7:55
Ryan Johnson333000-2400030.000.000.003.400.0%0.0%17:400.30.32-0.3
Josh Dunne2000-3500010.000.000.004.230.0%28.6%7:060.10.30-0.1
Noah Ostlund868000-6200040.000.000.002.850.0%36.4%10:330.60.42-0.6
Total265431696817431032227811.6%

Goalies

PlayerNo.GPWLOTLGAASV%SOxGAGSAx
Ukko-Pekka Luukkonen155242453.20.8872154.0-15.0
James Reimer472210822.90.901163.3+3.3
Devon Levi2792704.12.872024.2-8.8
Total363973

A goalie is credited a game played for any appearance, relief included, so GP sums above the team's own games played by the number of relief outings. The Total row leaves GP out for that reason.

xG by Game

DateOpponentScorexG ForxG AgainstxG DiffGoal DiffGD vs xG Diff
Oct 4vs NJD1-42.463.12-0.66-3-2.34
Oct 5@ NJD1-32.354.04-1.69-2-0.31
Oct 10vs LAK1-34.543.04+1.50-2-3.50
Oct 12vs FLA5-23.781.57+2.21+3+0.79
Oct 16@ PIT5-62.755.58-2.83-1+1.83
Oct 17@ CBJ4-62.751.77+0.98-2-2.98
Oct 19@ CHI4-23.172.52+0.65+2+1.35
Oct 22vs DAL4-24.753.14+1.61+2+0.39
Oct 26vs DET5-33.352.07+1.28+2+0.72
Oct 28vs FLA2-51.832.96-1.13-3-1.87
Nov 1vs NYI3-43.794.16-0.37-1-0.63
Nov 2@ DET1-23.162.26+0.90-1-1.90
Nov 5vs OTT5-13.743.55+0.19+4+3.81
Nov 7@ NYR6-12.182.97-0.79+5+5.79
Nov 9vs CGY3-22.792.07+0.720-0.72
Nov 11vs MTL5-71.744.21-2.47-2+0.47
Nov 14vs STL4-31.972.18-0.21+1+1.21
Nov 16@ PHI2-52.584.33-1.75-3-1.25
Nov 20@ LAK1-01.443.64-2.20+1+3.20
Nov 22@ ANA3-23.953.54+0.41+1+0.59
Nov 23@ SJS4-22.354.02-1.67+2+3.67
Nov 27vs MIN0-13.582.20+1.38-1-2.38
Nov 29vs VAN3-42.522.63-0.11-1-0.89
Nov 30@ NYI0-31.512.86-1.35-3-1.65
Dec 3vs COL4-53.563.90-0.34-1-0.66
Dec 5vs WPG2-32.253.31-1.06-1+0.06
Dec 7vs UTA2-52.542.85-0.31-3-2.69
Dec 9vs DET5-62.443.68-1.240+1.24
Dec 11vs NYR2-32.873.09-0.22-1-0.78
Dec 14@ WSH2-42.114.15-2.04-2+0.04
Dec 15@ TOR3-52.355.35-3.00-2+1.00
Dec 17@ MTL1-62.543.47-0.93-5-4.07
Dec 20vs TOR3-62.074.65-2.58-3-0.42
Dec 21@ BOS1-31.742.21-0.47-2-1.53
Dec 23@ NYI7-12.792.08+0.71+6+5.29
Dec 27vs CHI6-24.091.72+2.37+4+1.63
Dec 29@ STL4-21.453.97-2.52+2+4.52
Dec 31@ DAL2-42.764.71-1.95-2-0.05
Jan 2@ COL5-62.523.26-0.74-1-0.26
Jan 4@ VGK1-32.402.85-0.45-2-1.55
Jan 6vs WSH4-33.382.48+0.900-0.90
Jan 9@ OTT4-02.192.80-0.61+4+4.61
Jan 11vs SEA2-62.493.25-0.76-4-3.24
Jan 15vs CAR4-23.653.27+0.38+2+1.62
Jan 17vs PIT2-54.362.71+1.65-3-4.65
Jan 20@ SEA4-62.943.89-0.95-2-1.05
Jan 21@ VAN3-22.002.64-0.64+1+1.64
Jan 23@ CGY2-53.744.81-1.07-3-1.93
Jan 25@ EDM2-34.644.29+0.35-1-1.35
Jan 28vs BOS7-23.122.87+0.25+5+4.75
Jan 31vs NSH4-32.892.10+0.79+1+0.21
Feb 2vs NJD4-33.323.46-0.14+1+1.14
Feb 4vs CBJ3-22.571.61+0.96+1+0.04
Feb 8@ NSH4-63.233.15+0.08-2-2.08
Feb 22vs NYR8-22.442.440.00+6+6.00
Feb 25vs ANA3-25.072.88+2.19+1-1.19
Feb 27@ CAR2-51.494.97-3.48-3+0.48
Mar 1vs MTL2-42.163.22-1.06-2-0.94
Mar 3@ MTL3-44.873.08+1.79-1-2.79
Mar 4vs SJS2-61.763.41-1.65-4-2.35
Mar 6@ TBL5-62.732.91-0.18-1-0.82
Mar 8@ FLA0-42.224.91-2.69-4-1.31
Mar 10vs EDM3-22.492.96-0.47+1+1.47
Mar 12@ DET3-72.114.48-2.37-4-1.63
Mar 15vs VGK4-32.522.35+0.170-0.17
Mar 17@ BOS3-22.442.40+0.04+1+0.96
Mar 20@ UTA2-53.525.04-1.52-3-1.48
Mar 22@ MIN1-41.793.08-1.29-3-1.71
Mar 23@ WPG5-31.623.59-1.97+2+3.97
Mar 25vs OTT3-21.263.05-1.79+1+2.79
Mar 27vs PIT7-32.841.71+1.13+4+2.87
Mar 29@ PHI4-73.272.98+0.29-3-3.29
Mar 30@ WSH8-54.173.35+0.82+3+2.18
Apr 1@ OTT5-24.033.51+0.52+3+2.48
Apr 5vs TBL3-23.782.73+1.050-1.05
Apr 6vs BOS6-34.922.39+2.53+3+0.47
Apr 8vs CAR3-02.001.87+0.13+3+2.87
Apr 10@ CBJ2-34.423.40+1.02-1-2.02
Apr 12@ FLA2-32.192.90-0.710+0.71
Apr 13@ TBL4-72.556.16-3.61-3+0.61
Apr 15vs TOR0-43.714.40-0.69-4-3.31
Apr 17vs PHI5-44.172.35+1.82+1-0.82

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.