2013 Dallas Stars Hockeymetrics: Why the Stars Were So Bad in the Second Half of Back to Backs

Stephen Dunn

One of the biggest reasons the Dallas Stars missed the playoffs for a fourth consecutive season was their play in the 2nd half of back to backs. I take a deeper look at the numbers that did not paint a pretty picture last season.

If you've been a regular reader of DBD, you already know that the second half of back-to-back's last season was a real killer. In case anyone forgot during the lockout, Brad reminded us all a few days ago in pointing out areas where the Stars absolutely must improve on for this season.

So just how bad did things get last season on the second half of back to backs? Well, I decided to compare the Stars statistics from games played in the second half of back to backs to the statistics in all their games last season and posted the differentials in GF/60 and GA/60 in the following categories:

Cumulative total per game (including Regulation and Overtime), Even Strength, Power Play, and Short Handed.

And then I broke them down even further to specific manpower situations.

TOTAL
G
GA
GF/60
Diff
GA/60
Diff
B2B-2
Total
845:00
24
52
1.704142
-0.77591
3.692308
1.091865
Season
Total
4983:46
206
216
2.480052
2.600443
ES
G
GA
GF/60
Diff
GA/60
Diff
B2B-2
Total
719:57
20
40
1.666782
-0.7677
3.333565
0.943078
Season
Total
4091:13
166
163
2.434484
2.390487
PP
G
GA
GF/60
Diff
GA/60
Diff
B2B-2
Total
49:19
4
1
4.866509
-0.04705
1.216627
0.76994
Season
Total
402:58
33
3
4.913558
0.446687
SH
G
GA
GF/60
Diff
GA/60
Diff
B2B-2
Total
75:44
0
11
0
-0.85787
8.714789
2.587129
Season
Total
489:35
7
50
0.857872
6.12766
5on5
G
GA
GF/60
Diff
GA/60
Diff
B2B-2
Total
695:27
19
39
1.639226
-0.76932
3.364728
0.925693
Season
Total
3935:59
158
160
2.408547
2.439035
4on4
G
GA
GF/60
Diff
GA/60
Diff
B2B-2
Total
24:30
1
1
2.44898
-0.65949
2.44898
1.283302
Season
Total
154:25
8
3
3.108473
1.165677
3on3
G
GA
GF/60
Diff
GA/60
Diff
B2B-2
Total
00:00
0
0
0
0
0
0
Season
Total
00:49
0
0
0
0
5on4
G
GA
GF/60
Diff
GA/60
Diff
B2B-2
Total
48:59
4
1
4.899626
0.167805
1.224906
0.766988
Season
Total
393:05
31
3
4.731821
0.457918
5on3
G
GA
GF/60
Diff
GA/60
Diff
B2B-2
Total
00:00
0
0
0
-20.7493
0
0
Season
Total
05:47
2
0
20.74928
0
4on3
G
GA
GF/60
Diff
GA/60
Diff
B2B-2
Total
00:20
0
0
0
0
0
0
Season
Total
04:06
0
0
0
0
4on5
G
GA
GF/60
Diff
GA/60
Diff
B2B-2
Total
70:57
0
10
0
-0.89118
8.45666
2.472998
Season
Total
471:17
7
47
0.891184
5.983662
3on5
G
GA
GF/60
Diff
GA/60
Diff
B2B-2
Total
02:56
0
1
0
0
20.45455
2.514346
Season
Total
10:02
0
3
0
17.9402
3on4
G
GA
GF/60
Diff
GA/60
Diff
B2B-2
Total
01:51
0
0
0
0
0
0
Season
Total
08:16
0
0
0
0

Key statistics of note:

  • The only area where the Stars improved in the second half of back to back's was on the 5 on 4 power play. As you can tell, the improvement was marginal. Every other category came out to be a push or a negative from the Stars' POV.
  • The worst area by far was in PPGA as the Stars surrendered 2.587 GA/60 above what the surrendered for the season.
  • The 11 PPGA that the Stars surrendered accounted for 22% of all the PPGA surrendered for the season.
  • And not surprisingly, the Stars fared worse in 4 on 5's than any other manpower situation, giving up 2.473 GA/60 more than they did on the entire season.
  • And for the heck of it, Dallas gave up a total of three goals while two men down for the entire season. One of those came on the second end of a back to back against Minnesota on February 24th. Oddly enough, that's the only time the Stars won on the second half of a back to back.

Last season, the Stars went 1-11-2 in the second half of their 14 back to backs. If you count both ends, those 28 games total comprised 34.15% of the total schedule last year. In this lockout shortened season, a greater number of games will make up back to backs. 18 total out of 48, which comprises 37.5% of the schedule.

The fact the Stars numbers in these statistical areas for these kinds of games are lower than the are for these areas across the entire season certainly isn't a surprise. I'm sure if you did a similar statistical analysis of the 29 other teams, you'd come to a similar conclusion.

For there to be as much of a gulf on the overall record and in the short handed situations, however, has be construed as nothing short of alarming.

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