Team Stats

2014–15 Regular Season

Coach: Ted Nolan
Total Players: 39
Related2014–15 game results2014–15 standings
Season Summary

23-51-8, 54 points, a -116 goal differential.

PENALTIES
Drew 303, took 339 (-36)
Team Totals
153
269
-116
13.4%
75.1%
44.9%
3.28
7.2%
.923
0.995
GF
GA
DIFF
PP%
PK%
FO%
GAA
S% (5v5)
SV% (5v5)
PDO (5v5)
NHL
30th
29th
30th
30th
30th
30th
29th
24th
15th
23rd
CONF
16th
16th
16th
16th
16th
16th
16th
14th
10th
13th
DIV
8th
8th
8th
8th
8th
8th
8th
7th
5th
7th
ALL-TIME
3rd pct
1st pct
1st pct
9th pct
5th pct
2nd pct
32nd pct
56th pct

All-time is where 2014–15 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.

Goal differential
LEAGUE MED +15BUF -116-116+61
One dot per NHL team.
PDO (5v5)
LEAGUE MED 1.002BUF 0.9950.9711.019
One dot per NHL team.
Team Leaders
46
POINTS
28
ASSISTS
+4
PLUS/MINUS
26:34
TOI/G

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.

X axis:
Y axis:

No skaters match these filters. Lower the games-played floor or widen the position filter.

More cuts on the Stats Playground scatter.

Games 1 (Oct 9) to 82 (Apr 11)

82 games.

Shot Map

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

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.

23-59 in 82 decided games, 2014–15 regular season, with 8 of those losses in overtime or a shootout.
Wins (23)Losses (59, 8 in overtime or a shootout)
3+ scorersD combined 3+ ptsScored firstDepth 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 (23)LOSSES (59)
Forward goals2.701.10
Defense goals0.430.27
Forward points6.522.90
Defense points2.090.88
Different goal scorers2.871.25
D share of points24%23%
D share of shots26%27%

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
LineGPTOIxGFxGAxG%GFGACFCACF%CF% RelxGF% RelFFFASFSA
Moulson–Ennis–Girgensons31332:410.000.00131422435438.8%1.2%170254132180
Gionta–Mitchell–Flynn17173:470.000.006513516744.7%7.4%1021107476
Gionta–Moulson–Mitchell14163:040.000.008511416241.3%3.8%891076967
Moulson–Ennis–Larsson12161:360.000.008213017442.8%5.4%1081277990
Stewart–Ennis–Girgensons12132:200.000.00277917331.3%-6.6%671224880
Stewart–Hodgson–Foligno15121:340.000.00349813941.4%3.9%681045570
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Defense Pairs
LineGPTOIxGFxGAxG%GFGACFCACF%CF% RelxGF% RelFFFASFSA
Gorges–Myers39588:360.000.00162436065135.6%-2.4%275464199320
Ristolainen–Zadorov42400:030.000.00131728843140.1%2.7%230328181245
Meszaros–Weber29266:410.000.0041019129439.4%1.9%14220293143
Weber–Ristolainen38264:090.000.005815633731.6%-6.5%12822889149
Benoit–Ristolainen36240:590.000.0011017730436.8%-0.9%12722396159
Strachan–Weber25240:320.000.0041418624743.0%5.7%12416990117
Benoit–Bogosian17208:190.000.0081114523138.6%1.0%9917675124
Meszaros–Ristolainen24197:400.000.008816222741.6%4.2%126178100127
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With or Without You

Buffalo's 5v5 CF% and xGF% with Ristolainen 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. 2014–15 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
RISTOLAINEN APART
IMPACT
TOI TogetherCF%xGF%CF%xGF%Δ CF%Δ xGF%
Zadorov
401:3539.8%
35.7%
+4.1
Ennis
387:0936.5%
37.2%
-0.7
Moulson
354:3239.2%
36.1%
+3.1
Gionta
318:4938.7%
36.3%
+2.4
Deslauriers
284:3733.1%
38.0%
-4.9
Foligno
274:3239.5%
36.3%
+3.2
Girgensons
270:2734.3%
37.6%
-3.3
Weber
264:4631.1%
38.5%
-7.4
Hodgson
263:2440.7%
36.0%
+4.7
Stewart
244:3837.1%
36.9%
+0.2
Benoit
241:5936.5%
37.1%
-0.6
Flynn
199:2337.3%
36.9%
+0.4
Meszaros
198:4341.1%
36.1%
+5.0
Stafford
184:4235.0%
37.3%
-2.3
Mitchell
182:1241.0%
36.3%
+4.7
Larsson
164:1336.3%
37.0%
-0.7
Varone
120:3232.3%
37.4%
-5.1
Grigorenko
102:4140.3%
36.6%
+3.7
McCormick
96:0432.2%
37.3%
-5.1
Gorges
92:0828.0%
37.6%
-9.6
Kaleta
89:0329.5%
37.5%
-8.0
Ellis
83:1737.4%
36.9%
+0.5
Schaller
62:3530.8%
37.2%
-6.4
Dalpe
58:4645.8%
36.6%
+9.2
Reinhart
32:2933.3%
37.0%
-3.7
D'Amigo
25:3946.4%
36.7%
+9.7

Shift Profile

Shift length and on-ice results, 2014–15 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. Ristolainen7820130:4847.3%27.9%38.5%39.5%-5154185+5s305 (83 to whistle)271
T. Ennis7816940:5336.1%34.5%37.4%48.6%+1417488+5s296 (82 to whistle)72
M. Moulson7716230:5039.9%29.8%42.2%50.2%+718556+4s239 (66 to whistle)44
M. Weber6415590:4651.3%21.6%37.4%28.5%-846229+3s185 (55 to whistle)200
B. Gionta6915260:4941.9%27.7%43.6%43.3%0160148+1s186 (37 to whistle)55
A. Benoit5914570:4455.3%18.9%35.9%37.5%-3100137+3s133 (32 to whistle)167
Z. Girgensons6114470:4844.2%24.9%35.5%38.3%-7130215+3s177 (48 to whistle)52
T. Myers4714420:4948.4%27.6%34.0%37.6%-3114183+2s158 (48 to whistle)281
A. Meszaros6014290:4551.5%22.5%38.5%41.5%-9122119+4s161 (36 to whistle)176
J. Gorges4613700:4553.9%22.1%32.5%27.8%-1074175+2s121 (33 to whistle)244
N. Zadorov6013500:4745.2%27.6%42.3%37.7%-1110356+6s214 (53 to whistle)190
C. Hodgson7812790:4743.9%25.0%45.3%37.4%-1114822+5s186 (35 to whistle)26
N. Deslauriers8212780:4646.2%22.8%34.1%27.2%-647108+5s190 (50 to whistle)27
C. Stewart6112230:4844.0%26.4%40.0%39.2%-313835+6s175 (50 to whistle)45
B. Flynn5411680:4452.2%18.2%39.4%26.3%-379179+1s113 (29 to whistle)38
M. Foligno5711660:4843.4%24.8%40.1%34.7%-380131+3s143 (30 to whistle)35
T. Strachan4611340:4650.2%22.9%38.0%24.5%-1339140+2s137 (33 to whistle)166
T. Mitchell5110830:4353.5%16.3%37.0%26.5%-331177+2s81 (10 to whistle)35
D. Stafford509830:4942.2%27.0%40.6%46.0%-312273+4s129 (30 to whistle)16
J. Larsson396900:4943.0%28.6%39.9%47.3%+45123+6s113 (33 to whistle)11
Z. Bogosian216120:5538.4%34.0%39.1%38.7%-34680+2s95 (30 to whistle)102
P. Kaleta425650:4062.7%10.8%33.6%15.2%-219890s36 (11 to whistle)6
C. McCormick335340:4353.4%18.7%32.7%20.6%-322109+4s52 (19 to whistle)8
M. Ellis395270:3770.8%7.2%36.3%19.2%-11283+1s28 (7 to whistle)3
P. Varone284950:4648.3%24.2%37.4%40.4%-3366+6s72 (15 to whistle)11
M. Grigorenko254810:4742.6%23.9%46.9%39.9%-3467+7s70 (21 to whistle)8
T. Schaller182890:4255.0%12.8%45.3%21.7%-48340s23 (4 to whistle)6
Z. Dalpe212850:4161.1%16.8%44.1%25.7%-1104+5s37 (9 to whistle)4
M. Pysyk71690:4554.4%20.7%41.0%33.3%0815+3s22 (7 to whistle)20
J. D'Amigo91180:4554.2%22.9%39.7%23.3%-1217+11s18 (4 to whistle)2
S. Reinhart91110:5039.6%28.8%34.8%33.3%-202+16s17 (6 to whistle)2
C. Ruhwedel4660:4542.4%15.2%53.6%31.8%020-3s7 (3 to whistle)5
J. McCabe2330:4054.5%18.2%55.0%40.0%023-3s4 (2 to whistle)0
J. Armia1190:4742.1%21.1%0.0%16.7%000+3s3 (2 to whistle)2

Skaters

PlayerNo.GPGAPTS+/-PIMPPSHGWGSOGG/60A/60P/60SOG/60S%FO%TOI/G
Tyler Ennis6378202646-19376121850.801.051.857.4410.8%36.6%19:07
Matt Moulson77132841-1143021560.571.231.816.878.3%59.1%17:41
Brian Gionta1269132235-13183121530.631.061.697.378.5%40.8%18:03
Zemgus Girgensons2861151530-16251311150.770.771.555.9313.0%44.0%19:05
Chris Stewart8061111425-30635001160.680.861.547.139.5%27.0%16:00
Drew Stafford215091524-1839201910.681.131.806.839.9%50.0%15:59
Marcus Foligno825781220-550000660.520.781.304.2812.1%43.2%16:14
Rasmus Ristolainen557881220-32264001210.300.450.754.526.6%100.0%20:37
Brian Flynn655451217-38000730.350.841.195.116.8%47.6%15:53
Johan Larsson223961016012100500.641.061.705.3012.0%44.0%14:31
Nicolas Deslauriers448251015-2471001760.310.620.924.686.6%0.0%11:52
Nikita Zadorov516031215-1051201520.170.680.852.945.8%100.0%17:42
Andrej Meszaros41607714-1336101670.390.390.783.7410.4%0.0%17:55
Torrey Mitchell17516713-626002450.460.541.003.4513.3%47.2%15:20
Cody Hodgson19786713-28120001270.360.420.787.604.7%45.9%12:51
Tyler Myers57474913-1561100720.200.460.663.675.6%0.0%25:04
Andre Benoit6159189-1920010450.060.450.502.522.2%0.0%18:09
Mike Weber664167-2268000410.050.300.352.052.4%0.0%18:45
Zach Bogosian421077-738000510.000.750.755.480.0%0.0%26:34
Josh Gorges446066-2816000280.000.350.351.630.0%0.0%22:22
Mikhail Grigorenko2525336-102100350.470.470.955.548.6%46.2%15:10
Tyson Strachan2446055-3044000380.000.340.342.610.0%0.0%18:59
Phil Varone8428325-1410000280.480.320.804.4610.7%45.1%13:27
Cody McCormick833134-940010310.160.470.624.813.2%50.0%11:43
Patrick Kaleta3642033-1136000250.000.480.484.030.0%37.5%8:52
Zac Dalpe2021123-114000290.310.620.928.933.4%60.6%9:17
Mark Pysyk137213+4200140.940.471.411.8950.0%0.0%18:11
Matt Ellis3739112-124001290.180.180.375.363.4%48.8%8:19
Tim Schaller5918112-52000190.290.290.595.585.3%39.8%11:21
Chad Ruhwedel54011+3000040.001.201.204.810.0%0.0%12:28
Sam Reinhart239011-1200030.000.640.641.930.0%24.4%10:22
Jerry D'Amigo499000-4200070.000.000.004.800.0%0.0%9:44
Joel Armia3310000000000.000.000.000.000.0%14:47
Jake McCabe1920000000020.000.000.005.390.0%0.0%11:08
Total1532684218293071519847.7%

Goalies

PlayerNo.GPWLOTLGAASV%SO
Jhonas Enroth137132123.27.9031
Michal Neuvirth342761732.99.9180
Anders Lindback35164822.76.9240
Matt Hackett3150414.32.8840
Andrey Makarov110103.00.9170
Total235181

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.