Team Stats

2025–26 Regular Season

Coach: Lindy Ruff
Total Players: 36
Related2025–26 game results2025–26 standingsRound 1 vs BOS breakdownRound 2 vs MTL breakdown
Season Summary

50-23-9, 109 points, a +43 goal differential.

PDO
1.020 at 5v5; about 1.004 is sustainable
BEST LINE
Tuch–McLeod–Doan, 73.3% of 5v5 xG and 10-6 on goals
BEST PAIR
Samuelsson–Byram, 59.4% of 5v5 xG and 13-8 on goals
PENALTIES
Drew 334, took 318 (+16)
Team Totals
283
240
+43
19.5%
81.9%
45.9%
2.93
10.6%
.914
1.020
GF
GA
DIFF
PP%
PK%
FO%
GAA
S% (5v5)
SV% (5v5)
PDO (5v5)
NHL
5th
10th
5th
21st
4th
32nd
10th
5th
8th
4th
CONF
4th
6th
3rd
12th
2nd
16th
6th
4th
3rd
2nd
DIV
2nd
2nd
2nd
8th
2nd
8th
2nd
3rd
2nd
2nd
ALL-TIME
86th pct
57th pct
79th pct
57th pct
47th pct
16th pct
97th pct
32nd pct

All-time is where 2025–26 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.

Tuch–McLeod–Doan
Best Line
73.3% of xG (6.16 to 2.24), 10-6 on goals and 146-103 on attempts in 108:58 together. Tuch, McLeod and Doan scored 8 goals with the line out. Small sample.
Samuelsson–Byram
Best D Pair
59.4% of xG (8.02 to 5.48), 13-8 on goals and 174-196 on attempts in 186:10 together. Samuelsson and Byram scored 4 goals with the pair out. Small sample.
Goal differential
LEAGUE MED -6BUF +43-104+101
One dot per NHL team.
PDO (5v5)
LEAGUE MED 1.001BUF 1.0200.9711.024
One dot per NHL team.
Team Leaders
55
ASSISTS
+41
PLUS/MINUS
24:11
TOI/G
+8.5
GAX
+11.3
GSAX
19
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
0.09.619.128.738.2011223243Expected goals (ixG)Goals

32 skaters shown, 1 off the plot (no xG or Goals value).

More cuts on the Stats Playground scatter.

Goalies: Goals Against vs xGA

Green: fewer goals against than expected. Red: more.

xGAGoals Against
0295786114Alex LyonAlex Lyon: 103.3 xGAAlex Lyon: 92 Goals Against (+11.3 vs expected)92 / 103.3Ukko-Pekka LuukkonenUkko-Pekka Luukkonen: 95.4 xGAUkko-Pekka Luukkonen: 85 Goals Against (+10.4 vs expected)85 / 95.4Colten EllisColten Ellis: 44.9 xGAColten Ellis: 44 Goals Against (+0.9 vs expected)44 / 44.9
Games 1 (Oct 9) to 82 (Apr 15)

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.

-9.4-1.2+7.0Oct 9Oct 24Nov 8Nov 23Dec 8Dec 23Jan 10Jan 22Feb 5Mar 8Mar 22Apr 6vs NYR 0-4 L@ BOS 1-3 Lvs COL 1-3 Lvs OTT 8-4 Wvs FLA 3-0 W@ MTL 2-4 Lvs DET 4-2 Wvs TOR 5-3 W@ TOR 3-4 Lvs CBJ 3-4 L@ BOS 3-4 Lvs WSH 4-3 Wvs UTA 1-2 Lvs STL 0-3 L@ CAR 3-6 L@ UTA 2-5 L@ COL 3-6 L@ DET 5-4 Wvs EDM 5-1 Wvs CGY 2-6 Lvs CHI 9-3 Wvs CAR 4-1 W@ PIT 2-4 Lvs NJD 0-5 L@ MIN 3-2 Wvs WPG 5-1 W@ PHI 2-5 L@ WPG 1-4 L@ CGY 4-7 L@ EDM 4-3 W@ VAN 3-2 W@ SEA 3-1 Wvs PHI 5-3 Wvs NYI 3-2 W@ NJD 3-1 W@ OTT 3-2 Wvs BOS 4-1 W@ STL 4-2 W@ DAL 4-1 W@ CBJ 1-5 Lvs VAN 5-3 W@ NYR 5-2 Wvs ANA 5-3 Wvs FLA 3-4 Lvs PHI 5-2 Wvs MTL 5-3 Wvs MIN 4-5 L@ CAR 1-2 L@ NSH 5-3 W@ MTL 4-2 W@ NYI 5-0 W@ TOR 7-4 Wvs LAK 4-1 Wvs MTL 2-4 L@ FLA 5-3 W@ TBL 3-4 Lvs PIT 2-5 L@ NJD 2-1 W@ FLA 3-2 W@ TBL 6-2 Wvs VGK 3-2 W@ PIT 5-1 Wvs NSH 3-2 Wvs TBL 8-7 Wvs SJS 6-3 Wvs WSH 1-2 Lvs TOR 3-2 W@ VGK 2-0 W@ SJS 5-0 W@ LAK 4-1 W@ ANA 5-6 Lvs BOS 3-4 Lvs DET 2-5 Lvs SEA 3-2 Wvs NYI 4-3 W@ OTT 1-4 L@ WSH 2-6 Lvs TBL 4-2 W@ NYR 5-3 Wvs CBJ 5-0 W@ CHI 5-1 Wvs DAL 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.

50-32 in 82 decided games, 2025–26 regular season, with 9 of those losses in overtime or a shootout.
Wins (50)Losses (32, 9 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 (50)LOSSES (32)
Forward goals3.581.53
Defense goals0.760.53
Forward points8.503.78
Defense points3.081.81
Different goal scorers3.721.94
D share of points27%32%
D share of shots29%30%

Goal Differential Breakdown

Buffalo finished +43 over 82 games. Biggest pieces: goaltending +20.8, finishing +10.9.

Added goalsCost goalsGoal differentialWhisker: one standard deviation of shot-outcome noise.
0+20+40+60Goals0Start-1.1Even-strengthshot volume+7.1Even-strengthshot quality+2.9Penaltydifferential+0.3Power playefficiency+0.2Penalty killefficiency+10.9Finishing+20.8Goaltending+2.0Goaliepulled-0.1Unmodeled+43Goaldifferential
2025–26 REGULAR SEASON, GOALS
COMPONENTGOALSNOISE (ONE SD)REPEATS
Even-strength shot volume-1.1±4.7Usually
Even-strength shot quality+7.1n/aUsually
Penalty differential+2.9n/aSometimes
Power play efficiency+0.3n/aUsually
Penalty kill efficiency+0.2n/aUsually
Finishing+10.9±14.3Sometimes
Goaltending+20.8±14.0Sometimes
Goalie pulled+2.0n/aNot a skill
Unmodeled-0.1n/an/a
Goal differential+43n/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.
  • 283 for, 240 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 +43.
  • Even-strength volume is priced at the league's average even-strength attempt for the season (0.0623 xG in 2025-26), and penalty differential at the league's net xG per power-play minute (0.104), both measured over every game in the league with the same model. Over the games covered, Buffalo's own games averaged 0.0633 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 +22.6 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. 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: Tuch–McLeod–Doan, 73.3% of xG and 10-6 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
Zucker–McLeod–Quinn49448:0418.4316.6052.6%291843239352.4%3.6%3.0%335307216217
Tuch–Thompson–Krebs37255:498.777.4654.0%18827424752.6%3.6%4.2%212183129112
Thompson–Krebs–Doan29180:326.206.3349.5%9917918149.7%0.5%-0.6%1321358486
McLeod–Quinn–Benson23143:184.283.8452.7%9412813548.7%-0.5%2.7%971066661
Norris–Doan–Ostlund17127:574.722.9561.5%7212710654.5%5.4%11.8%101756751
Tuch–Thompson–Doan17121:403.185.0838.5%7612113148.0%-1.3%-12.0%871074673
Tuch–Thompson–Benson20119:543.023.9843.1%4412310653.7%4.6%-7.2%85674852
Tuch–McLeod–Doan16108:586.162.2473.3%10614610358.6%9.7%24.1%114757045
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Defense Pairs
Best at 5v5: Samuelsson–Byram, 59.4% of xG and 13-8 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
Samuelsson–Dahlin74846:3727.5923.2954.2%462977782948.4%-1.0%5.4%580602401364
Byram–Power79563:3715.9022.0141.9%262053049851.6%2.8%-9.5%406380243259
Timmins–Byram34245:126.317.1846.7%111520324745.1%-4.4%-3.4%157176101107
Dahlin–Byram62203:049.316.8157.8%131124216759.2%10.6%8.4%18113013189
Samuelsson–Byram60186:108.025.4859.4%13817419647.0%-2.3%10.0%1341409791
Dahlin–Power63185:506.986.1953.0%101122416158.2%9.5%3.2%16212110580
Samuelsson–Power64170:405.056.4643.9%71016018546.4%-3.0%-6.3%1151348281
Timmins–Power32164:504.775.7945.2%7715117646.2%-3.2%-4.9%1111296889
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With or Without You

Buffalo's 5v5 CF% and xGF% with Samuelsson 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. 2025–26 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
SAMUELSSON APART
IMPACT
TOI TogetherCF%xGF%CF%xGF%Δ CF%Δ xGF%
Dahlin
852:2748.1%54.1%
46.9%49.9%
+1.2+4.2
Thompson
467:3750.3%53.0%
46.3%51.9%
+4.0+1.1
Krebs
431:3750.6%52.7%
46.3%52.1%
+4.3+0.6
Tuch
404:1847.6%51.4%
47.6%52.6%
0.0-1.2
Doan
373:3851.3%59.3%
46.4%49.8%
+4.9+9.5
Quinn
359:2944.8%47.8%
48.6%54.2%
-3.8-6.4
McLeod
350:0445.1%49.7%
48.4%53.2%
-3.3-3.5
Benson
297:2347.4%55.9%
47.7%51.3%
-0.3+4.6
Malenstyn
289:4147.0%54.1%
47.8%52.0%
-0.8+2.1
Zucker
259:5746.0%46.7%
48.0%53.7%
-2.0-7.0
Ostlund
247:3648.7%53.8%
47.4%52.0%
+1.3+1.8
Byram
190:1446.1%57.8%
47.9%51.3%
-1.8+6.5
Kozak
184:3942.1%46.5%
48.4%53.0%
-6.3-6.5
Power
175:1545.8%44.0%
47.9%53.6%
-2.1-9.6
Norris
170:0548.2%55.4%
47.5%51.8%
+0.7+3.6
Greenway
158:3639.7%47.9%
48.5%52.7%
-8.8-4.8
Dunne
116:4255.1%59.2%
47.1%52.0%
+8.0+7.2
Timmins
72:4939.8%37.5%
48.1%53.4%
-8.3-15.9
Kesselring
60:5559.3%65.1%
47.1%51.9%
+12.2+13.2
Metsa
59:1542.4%47.4%
47.9%52.5%
-5.5-5.1
Rosen
54:5640.0%54.4%
47.9%52.2%
-7.9+2.2
Kulich
51:4944.2%52.6%
47.8%52.3%
-3.6+0.3
Carrick
44:1344.7%56.3%
47.7%52.2%
-3.0+4.1
Helenius
37:1467.2%50.5%
47.2%52.3%
+20.0-1.8
Bryson
27:5366.7%70.2%
47.4%52.1%
+19.3+18.1

Shift Profile

Shift length and on-ice results, 2025–26 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
B. Byram8221740:5141.8%29.5%47.6%48.3%+7189235+4s319 (93 to whistle)232
R. Dahlin7721100:5340.7%32.6%45.3%63.8%+37162167+7s331 (78 to whistle)254
O. Power8121020:5040.3%29.7%47.4%47.9%-3150241+4s335 (91 to whistle)221
M. Samuelsson7820590:5239.7%31.9%42.6%41.2%-156267+5s361 (97 to whistle)237
A. Tuch7919740:4650.9%20.2%47.5%48.3%+1181318+3s177 (37 to whistle)103
R. McLeod8119580:4453.9%16.3%44.7%45.7%+6175329+4s118 (20 to whistle)100
T. Thompson8118560:5044.6%26.4%51.0%65.9%+1716899+5s219 (48 to whistle)87
J. Doan8216900:4649.8%19.8%53.6%64.7%+1019648+3s124 (28 to whistle)57
J. Quinn8216510:4748.4%22.7%46.7%59.1%+218352+3s180 (49 to whistle)64
P. Krebs8215440:4450.8%18.3%47.2%47.8%+65185+2s186 (41 to whistle)53
Z. Benson6513430:4648.1%21.7%51.6%59.2%+6113127+3s154 (29 to whistle)51
B. Malenstyn8113330:4159.1%12.5%38.5%33.5%+1442290s93 (26 to whistle)18
J. Zucker6211870:4946.8%25.0%52.3%67.8%+915122+5s113 (21 to whistle)39
N. Ostlund6011230:4550.0%17.5%52.6%51.6%+38329+4s97 (24 to whistle)29
C. Timmins399610:4654.4%20.2%42.9%27.9%-2211500s91 (24 to whistle)74
J. Norris449070:4654.0%20.0%51.9%73.0%+1510725+5s54 (8 to whistle)27
T. Kozak467840:4062.1%10.8%38.6%25.6%-62990+3s49 (16 to whistle)27
J. Greenway407340:4161.4%12.0%41.2%27.3%-120104+2s45 (7 to whistle)26
M. Kesselring346140:4552.3%19.1%43.2%46.0%-2760+2s67 (28 to whistle)26
Z. Metsa435890:4845.0%24.6%52.9%35.7%+3726+6s97 (32 to whistle)25
J. Bryson354960:4256.0%16.9%45.0%45.4%+1121+6s54 (10 to whistle)27
J. Dunne344570:4255.4%13.8%45.3%48.3%-11713+2s49 (14 to whistle)3
L. Stanley173330:4649.2%23.4%54.7%38.4%+1250+5s44 (15 to whistle)15
I. Rosen162740:4456.2%15.3%51.3%61.3%0293+2s15 (4 to whistle)7
J. Kulich122720:4357.4%15.4%52.1%46.3%+12815+4s20 (5 to whistle)16
S. Carrick132200:3861.4%11.4%46.5%54.5%0332+2s19 (8 to whistle)8
K. Helenius91340:4838.1%25.4%47.9%50.0%-120+1s29 (5 to whistle)0
L. Schenn4720:4362.5%20.8%47.4%36.6%-1012+2s64
J. Danforth4710:4064.8%9.9%25.0%18.2%04140s35
T. Pearson4590:4166.1%11.9%63.6%50.0%+121-3s5 (2 to whistle)0
M. Geertsen5340:3667.6%8.8%40.0%57.1%-111+14s2 (1 to whistle)0
R. Johnson3340:4841.2%29.4%38.9%54.2%-103+3s7 (1 to whistle)2
T. Kuntar180:3962.5%25.0%16.7%16.7%010-4s2 (1 to whistle)0

Skaters

PlayerNo.GPGAPTS+/-PIMPPSHGWGSOGG/60A/60P/60SOG/60S%FO%TOI/GxGxG/60GAx
Tage Thompson7281404181-6356052721.541.583.1210.4714.7%45.5%19:1535.41.36+4.6
Rasmus Dahlin2677195574+18766001940.611.772.386.259.8%0.0%24:1117.20.55+1.8
Alex Tuch8979333366+24577321951.321.322.647.8016.9%46.9%19:0024.50.98+8.5
Ryan McLeod7181144054+2516051900.591.682.273.7915.6%47.7%17:3714.60.62-0.6
Josh Doan9182252752-4259041701.151.252.407.8414.7%22.2%15:5224.91.15+0.1
Jack Quinn2282203151+4184041910.931.452.388.9310.5%25.0%15:3924.61.15-4.6
Jason Zucker1762242145-52310071281.491.302.797.9318.8%38.7%15:3720.91.30+3.1
Zach Benson665133043+27421141160.761.742.506.7411.2%46.7%15:5317.41.01-4.4
Bowen Byram482113142+15481051090.361.021.383.5710.1%0.0%22:2011.60.38-0.6
Mattias Samuelsson2378132841+41280131090.440.941.383.6711.9%0.0%22:507.00.24+6.0
Peyton Krebs1982122739+1378004930.641.442.074.9412.9%44.0%13:4611.90.63+0.1
Josh Norris944132134+1128203691.121.812.935.9418.8%49.5%15:5012.41.07+0.6
Owen Power258182129+9160001200.270.720.994.116.7%0.0%21:397.50.26+0.5
Noah Ostlund8660111627+1114201600.791.151.934.3018.3%31.5%13:587.30.52+3.8
Beck Malenstyn29817714038010720.460.460.924.749.7%40.0%11:157.70.51-0.7
Conor Timmins2139088-818000440.000.660.663.610.0%0.0%18:461.30.11-1.3
Isak Rosen16347-30000160.901.192.094.7818.8%100.0%12:342.10.62+0.9
Sam Carrick1013516+412001192.150.432.578.1526.3%57.3%10:451.70.73+3.3
Jordan Greenway1240156-1029000320.120.600.723.863.1%24.2%12:272.10.25-1.1
Tyson Kozak4846246-12000300.230.460.693.476.7%48.3%11:172.90.34-0.9
Zach Metsa7343246+168001240.250.510.763.058.3%0.0%10:581.40.18+0.6
Logan Stanley17055+529000220.001.181.185.190.0%0.0%14:571.10.27-1.1
Jacob Bryson7835235-18000120.340.510.852.0516.7%0.0%10:020.90.16+1.1
Jiri Kulich2012325-44000200.920.611.536.1115.0%41.7%16:222.70.82+0.3
Josh Dunne34134-738000290.190.560.745.403.4%54.1%9:293.10.59-2.1
Konsta Helenius949134+10000150.561.682.248.406.7%41.7%11:551.10.61-0.1
Tanner Pearson4022+2200030.002.952.954.430.0%0.0%10:090.71.06-0.7
Michael Kesselring834022050000460.000.260.266.060.0%0.0%13:242.30.30-2.3
Luke Schenn4000-11100030.000.000.003.520.0%0.0%12:470.10.08-0.1
Mason Geertsen5000-11200010.000.000.002.910.0%0.0%4:070.00.000.0
Justin Danforth154000-2200020.000.000.002.560.0%54.8%11:420.10.060.0
Ryan Johnson3330000200000.000.000.000.000.0%9:000.00.040.0
Trevor Kuntar1000-1000000.000.000.000.000.0%5:12
Total283475758769481145230612.3%

Goalies

PlayerNo.GPWLOTLGAASV%SOxGAGSAx
Ukko-Pekka Luukkonen13522932.52.910195.4+10.4
Alex Lyon3436201042.77.9073103.3+11.3
Colten Ellis92168422.90.903144.9+0.9
Total502395

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 9vs NYR0-42.222.59-0.37-4-3.63
Oct 11@ BOS1-32.014.67-2.66-2+0.66
Oct 13vs COL1-32.133.54-1.41-2-0.59
Oct 15vs OTT8-43.943.93+0.01+4+3.99
Oct 18vs FLA3-02.633.72-1.09+3+4.09
Oct 20@ MTL2-44.213.95+0.26-2-2.26
Oct 22vs DET4-24.203.60+0.60+2+1.40
Oct 24vs TOR5-32.882.75+0.13+2+1.87
Oct 25@ TOR3-42.072.24-0.17-1-0.83
Oct 28vs CBJ3-43.003.73-0.73-1-0.27
Oct 30@ BOS3-44.182.98+1.20-1-2.20
Nov 1vs WSH4-32.702.92-0.220+0.22
Nov 4vs UTA1-22.013.80-1.79-1+0.79
Nov 6vs STL0-32.621.92+0.70-3-3.70
Nov 8@ CAR3-62.863.80-0.94-3-2.06
Nov 12@ UTA2-52.463.77-1.31-3-1.69
Nov 13@ COL3-63.044.60-1.56-3-1.44
Nov 15@ DET5-43.483.17+0.31+1+0.69
Nov 17vs EDM5-13.952.13+1.82+4+2.18
Nov 19vs CGY2-61.703.11-1.41-4-2.59
Nov 21vs CHI9-33.011.49+1.52+6+4.48
Nov 23vs CAR4-14.483.85+0.63+3+2.37
Nov 26@ PIT2-42.912.58+0.33-2-2.33
Nov 28vs NJD0-53.582.38+1.20-5-6.20
Nov 29@ MIN3-22.922.42+0.500-0.50
Dec 1vs WPG5-13.502.05+1.45+4+2.55
Dec 3@ PHI2-53.505.88-2.38-3-0.62
Dec 5@ WPG1-43.642.98+0.66-3-3.66
Dec 8@ CGY4-73.094.48-1.39-3-1.61
Dec 9@ EDM4-33.323.00+0.32+1+0.68
Dec 11@ VAN3-21.603.49-1.89+1+2.89
Dec 14@ SEA3-13.482.82+0.66+2+1.34
Dec 18vs PHI5-33.892.89+1.00+2+1.00
Dec 20vs NYI3-24.393.61+0.780-0.78
Dec 21@ NJD3-12.652.90-0.25+2+2.25
Dec 23@ OTT3-21.463.01-1.55+1+2.55
Dec 27vs BOS4-13.411.91+1.50+3+1.50
Dec 29@ STL4-23.971.57+2.40+2-0.40
Dec 31@ DAL4-12.993.27-0.28+3+3.28
Jan 3@ CBJ1-54.623.68+0.94-4-4.94
Jan 6vs VAN5-33.114.55-1.44+2+3.44
Jan 8@ NYR5-24.342.82+1.52+3+1.48
Jan 10vs ANA5-33.922.35+1.57+2+0.43
Jan 12vs FLA3-42.663.33-0.67-1-0.33
Jan 14vs PHI5-23.812.40+1.41+3+1.59
Jan 15vs MTL5-33.372.70+0.67+2+1.33
Jan 17vs MIN4-52.994.59-1.60-1+0.60
Jan 19@ CAR1-22.493.40-0.91-1-0.09
Jan 20@ NSH5-32.703.14-0.44+2+2.44
Jan 22@ MTL4-23.943.34+0.60+2+1.40
Jan 24@ NYI5-02.832.51+0.32+5+4.68
Jan 27@ TOR7-43.453.13+0.32+3+2.68
Jan 29vs LAK4-13.322.74+0.58+3+2.42
Jan 31vs MTL2-44.284.73-0.45-2-1.55
Feb 2@ FLA5-33.124.56-1.44+2+3.44
Feb 3@ TBL3-42.883.24-0.36-1-0.64
Feb 5vs PIT2-53.035.62-2.59-3-0.41
Feb 25@ NJD2-13.384.39-1.01+1+2.01
Feb 27@ FLA3-24.503.45+1.05+1-0.05
Feb 28@ TBL6-24.393.32+1.07+4+2.93
Mar 3vs VGK3-23.474.48-1.01+1+2.01
Mar 5@ PIT5-14.252.76+1.49+4+2.51
Mar 7vs NSH3-22.832.92-0.09+1+1.09
Mar 8vs TBL8-74.554.06+0.49+1+0.51
Mar 10vs SJS6-33.792.22+1.57+3+1.43
Mar 12vs WSH1-23.143.33-0.19-1-0.81
Mar 14vs TOR3-24.332.02+2.310-2.31
Mar 17@ VGK2-03.183.11+0.07+2+1.93
Mar 19@ SJS5-02.311.80+0.51+5+4.49
Mar 21@ LAK4-12.931.91+1.02+3+1.98
Mar 22@ ANA5-63.194.30-1.11-1+0.11
Mar 25vs BOS3-42.712.56+0.15-1-1.15
Mar 27vs DET2-53.763.70+0.06-3-3.06
Mar 28vs SEA3-24.053.31+0.740-0.74
Mar 31vs NYI4-34.152.09+2.06+1-1.06
Apr 2@ OTT1-42.154.27-2.12-3-0.88
Apr 4@ WSH2-63.742.99+0.75-4-4.75
Apr 6vs TBL4-23.452.55+0.90+2+1.10
Apr 8@ NYR5-34.282.31+1.97+2+0.03
Apr 9vs CBJ5-02.543.54-1.00+5+6.00
Apr 13@ CHI5-13.131.90+1.23+4+2.77
Apr 15vs DAL3-43.451.98+1.470-1.47

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.