Last year, here at Fantasy Alarm, Greg Jewett and I released a new metric to judge relievers and just how good a job they were doing in their roles for their teams. The idea was born out of our want to cut out all of the noise created by Holds and Saves and K/9 that relievers are almost always judged by because those are the only well-known counting stats for fantasy players to use to assess a reliever's value for their fantasy team. However, that doesn’t help to understand the relievers that are actually performing well in their roles for their teams regardless of counting stats and it also doesn’t usually explain why managers use certain guys in certain situations as compared to others. The other thing we were trying to remove from the cloudiness of reliever numbers is the luck that is involved in their counting stats. A perfect example of this was the beginning of the year with Kirby Yates. Even though he was leading the league in Saves from the get-go, he wasn’t doing it efficiently as he was walking a bunch of guys and allowing hits and then managing to work his way out of it. All you as a fantasy player would see is that Yates was leading the league in saves without knowing how lucky he was really getting to still have that many saves and not have blown a bunch early on. However, with the Reliever Efficiency Rate, you can surmise exactly that and who may be next in line in high leverage spots for each team.

We are now going to be re-releasing it this year and updating it each Monday, through the previous Friday’s game. It should give FANation a new way to look at relief pitchers and with the team rankings, that take into account the total RER for each pitcher they’ve used in relief to that point in the season, DFS strategy could be helped as you can target certain teams with worse bullpens for point-scoring opportunities later in games.

Breakdown Of How R.E.R. Is Calculated

Using some advanced Win Probability stats like Shutdowns, Meltdowns, and leverage situations we can arrive at an RER for each pitcher that has come in in relief. Shutdowns and Meltdowns are given each time a reliever has added or subtracted six-percent to the team's win probability during the course of their outing. However, because not all of those situations are equal, we factor in leverage which is measured based on the game situation in terms of lead, runners on base, where in the order they are, and pitch count. There is also a factor of run prevention in the stat that gives credit for pitchers who allow fewer runs in higher leverage situations and take away credit for those that allow more runs in lower leverage situations. All of these stats are situation-specific so the exact role in the bullpen doesn’t matter as much as a closer can face a low-leverage situation but a middle reliever can face the highest-leverage situation in the game and so both pitchers will get proper credit for fulfilling or not fulfilling their roles in those spots. Also taken into account are innings pitched and games appeared in but it’s not always the case that just because a pitcher has more innings or games that their R.E.R. will be higher.

The Reliever Efficiency Rate is cumulative throughout the season, meaning each week a pitcher’s number could rise or fall and by season’s end the top pitchers number’s will be much higher than their original marks simply because with more innings and games come more chances to improve or impair their R.E.R.

The Reliever Efficiency Rate works on a scale that is an average of each week of the regular season that pitcher pitched in.

 

RangeSeas. Avg
Elite1.1 and Above
Great.8 to 1.09
Above Average.4 to .79
Average0 to .39
Below Average-,0001 to -.39
Poor-.4 to -.69
Awful-0.7 or Worse

Player Rankings

Below is the top-105 relievers to this point in the season. You may notice right off the bat (excuse the pun) that the top closers aren’t necessarily in the top spots as Trevor Rosenthal and Kenley Jansen are the highest ranked pitchers among the top-10 in saves. This just brings out the point of this metric in determining who is actually doing their job on the mound and who is skating by because of luck.

No pitcher is in the Elite category just yet but Jordan Romano has had two of his four weeks crack the 1.2 mark and in fact there have only been six individual weeks of 1.1 marks or better this year as 2020 continues to be an odd year all around.

 

RankNameTeamAvg. RankAvg RERHighLow
1Jordan RomanoBlue Jays3.01.03715
2Chad GreenYankees3.30.97116
3Alex ColomeWhite Sox8.80.798316
4Drew PomeranzPadres9.30.789415
5Nick AndersonRays14.30.825234
6Jeremy JeffressCubs14.70.791436
7Trevor RosenthalRoyals17.80.6601125
8Dylan FloroDodgers18.30.6371129
9Codi HeuerWhite Sox19.70.705135
10A.J. MinterBraves20.50.638853
11Conner MenezGiants21.00.587926
12Kyle FinneganNationals23.30.5671630
13Shane GreeneBraves24.70.5862230
14A.J. ColeBlue Jays27.00.5551447
15Anthony BassBlue Jays27.50.579863
RankNameTeamAvg. RankAvg RERHighLow
16Tanner RaineyNationals27.80.599766
17Tyler DuffeyTwins28.50.5451366
18Gregory SotoTigers31.30.586995
19Carlos EstevezRockies32.30.5131755
20Andre ScrubbAstros32.50.5431251
21John SchreiberTigers32.70.566861
22Ross DetwilerWhite Sox35.00.4832843
23Caleb FergusonDodgers35.00.594563
24Geoff HartliebPirates36.00.4962545
25Ryan HelsleyCardinals37.00.5711280
26Burch SmithAthletics37.30.4941373
27T.J. McFarlandAthletics37.50.4892156
28Jake McGeeDodgers38.50.4612548
29Brandon BielakAstros40.00.4262753
30Nick VincentMarlins40.30.4291775
RankNameTeamAvg. RankAvg RERHighLow
31John GantCardinals42.80.5021882
32Daniel BardRockies43.30.4533050
33Blake TaylorAstros43.80.4611474
34Jalen BeeksRays48.50.3762364
35Nick WittgrenIndians52.00.4731397
36Sam SelmanGiants53.00.4074064
37Kenley JansenDodgers53.30.4152777
38Pedro BaezDodgers54.50.3684371
39Matt WislerTwins57.00.37732112
40Carl Edwards Jr.Mariners58.50.2714473
41Jake DiekmanAthletics59.50.38224101
42Felix PenaAngels59.80.3803298
43Phillips ValdezRed Sox60.80.3423083
44Tyler AlexanderTigers60.80.3344469
45Kyle ZimmerRoyals61.30.3204771
RankNameTeamAvg. RankAvg RERHighLow
46Buck FarmerTigers61.50.3742087
47Liam HendriksAthletics62.30.39715144
48Chasen ShreveMets64.00.38321103
49Roberto OsunaAstros64.00.3314286
50Taylor ClarkeDiamondbacks64.80.3202108
51Ryan TeperaCubs65.00.3665184
52Chad KuhlPirates65.00.41111119
53Evan MarshallWhite Sox65.30.2923399
54Zack GodleyRed Sox66.00.2606171
55Zack BrittonYankees66.30.30918126
56Joakim SoriaAthletics66.30.35328144
57Daniel HudsonNationals67.30.3564173
58Jose CisneroTigers67.30.36614123
59Scott BarlowRoyals68.80.3334685
60Yimi GarciaMarlins69.00.32532106
RankNameTeamAvg. RankAvg RERHighLow
61Eric YardleyBrewers69.30.25931123
62Yency AlmonteRockies70.30.2777148
63Cameron HillIndians70.30.26519133
64Mychal GivensOrioles70.50.32937125
65Jonathan BrubakerPirates71.00.2607171
66James KarinchakIndians71.00.3401999
67Greg HollandRoyals71.50.3043990
68Aaron BummerWhite Sox71.70.27435118
69Jonathan HernandezRangers72.30.36216147
70David PhelpsBrewers72.30.28748103
71Travis LakinsOrioles72.80.29223120
72Sergio RomoTwins73.30.2914491
73Yusmeiro PetitAthletics73.30.3012496
74Cody StashakTwins74.30.20421127
75Tyler ClippardTwins75.50.2337081
RankNameTeamAvg. RankAvg RERHighLow
76Jairo DiazRockies77.80.26022137
77Jonathan HolderYankees78.50.26449136
78Jeurys FamiliaMets78.80.2556795
79Alex YoungDiamondbacks79.00.2426890
80Trevor MayTwins80.00.23369101
81Josh StaumontRoyals80.00.22965103
82Richard Bleier- - -80.00.27234126
83Erick FeddeNationals80.00.29953128
84Matt AndrieseAngels81.00.2832181
85Chris StrattonPirates81.30.21659100
86Brandon KintzlerMarlins82.00.24136115
87Kodi WhitleyCardinals84.70.2107789
88Junior GuerraDiamondbacks85.50.18639172
89Kyle RyanCubs86.70.20346112
90Jacob WaguespackBlue Jays87.30.20425133
RankNameTeamAvg. RankAvg RERHighLow
91Heath Hembree- - -89.00.17631175
92Thomas HatchBlue Jays89.30.3073156
93Cal QuantrillPadres89.30.23134118
94Colten BrewerRed Sox90.50.15850109
95Amir GarrettReds90.80.16372119
96Javy GuerraNationals90.80.18978107
97Richard RodriguezPirates92.00.19579102
98Josh TomlinBraves93.80.15536134
99Hector NerisPhillies96.00.1849696
100Justin ShaferMarlins98.50.17093104
101Brandon Workman- - -98.50.15188109
102Sam FreemanNationals100.00.160100100
103Tejay AntoneReds100.50.12079121
104Joe KellyDodgers102.00.15199105
105Austin GomberCardinals102.30.15559122

Team Rankings

The team rankings come from adding up every pitcher’s RER from that team who has pitched the requisite number of innings (.3 innings per team game played) and then adding those up each week and averaging them across the weeks. The higher the Avg. R.E.R. is, the better the total bullpen has been to this point in the season and while the ranges from above don’t necessarily hold for the team rankings, the general rule of thumb is that anything over 2.0 is Elite, 2-1.5 is great, 1.0-1.5 is above average, .5-1.0 is average, and less than .5 is poor. Again these rankings can help in DFS a bit as bullpens become more prevalent in games at this point.

 

RankTeamAvg RankAvg RERHighLow
1Dodgers2.752.68817
2Blue Jays3.252.67418
3White Sox5.252.233112
4Nationals52.12446
5Athletics5.252.11138
6Rockies9.51.741316
7Tigers8.751.684412
8Indians10.51.582216
9Yankees101.525912
10Marlins9.751.514519
11Braves12.751.329721
12Royals11.751.265720
13Brewers141.213523
14Astros13.51.095323
15Twins16.251.026522
RankTeamAvg RankAvg RERHighLow
16Red Sox15.50.941923
17Orioles18.50.8161424
18Cardinals170.7901522
19Cubs180.6801330
20Pirates180.6721420
21Rays19.250.5851025
22Mets20.250.5361728
23Diamondbacks200.4491524
24Giants23.50.2262126
25Rangers24.50.0172326
26Padres25.25-0.1602127
27Mariners25.75-0.6291730
28Phillies27-0.7002229
29Reds27.5-0.7982629
30Angels26.75-0.8431930