Closers. Everybody knows that they’re one-dimensional players in roto baseball, right? A top reliever should never be taken in the early rounds, because while he will help you win the saves category, his low earned run average and WHIP won’t matter much because he doesn’t pitch enough innings. At least, that’s the conventional fantasy logic, passed on by armchair sluggers and back-seat bench coaches. It’s also a guideline that is likely to cost you in the final standings if your league-mates know the truth and you don’t.
Now, there may be some debate about the value of a 1.60 ERA in “only” 80 innings of work if you’re in an innings limit league, but if your league has no IP maximum, there’s no way that Eric Gagne could help your ERA as much as Mark Prior, right? (Assuming that you have a generic pitcher slot on your team, using weekly lineups and 5×5 roto scoring.) Well, let’s do the calculations.
To understand how much a pitcher helps out your staff ratios (ERA and WHIP), I use two derived stats that I call ERA Imp (for ‘improvement’) and WHIP Imp. ERA Imp measures how much a player’s ERA will affect the average fantasy team by taking into account both ERA and IP; the lower its value, the better.
The formula for calculating these stats is highly dependent on your league settings, specifically the number of teams per league and the number of pitchers per team.
Let’s assume you’re in a 12-team mixed league. Each team starts nine pitchers, with each team having an average of 5.5 starters and 3.5 relievers. I’ve selected the top 66 starters and the top 42 relievers from RotoTimes‘ value list, ranked by year-end dollar value. These may not be the top 108 pitchers in terms of ERA or ERA Imp, but they were the 108 pitchers deemed by RotoTimes to be the best pitchers last year in a 5×5 league (or at least the top 108 based on our assumed SP/RP ratio).
To form a team, we assume that we have eight average pitchers, plus the player whom we are going to calculate ERA Imp and WHIP Imp for. We will give each team five copies of Joe Average Starter, and three copies of Joe Average Reliever (and we assume that approximately half of the teams will pick a starter for their last pitcher, while half pick a reliever). For purposes of this delineation, Scot Shields, Johan Santana, and Byung-Hyun Kim were considered starters.
There are three stats we need for both groups of pitchers in order to complete our formula. Those are the Average WHIP, Average ERA, and Average IP of all pitchers in the league. These numbers are 1.24, 3.65, and 200 for starters and 1.14, 2.78, and 73.3 for relievers. That means that an average staff of eight pitchers (before adding our ninth pitcher, who can be either a starter or a reliever) will have 1220 innings pitched (1000 by starters, 220 by relievers), and will have a WHIP of 1.22 and an ERA of 3.49. (That may look as if starters weigh a lot more heavily on your stats than relievers, but also remember that we have five starters and just three relievers so far.)
If you now take Mark Prior (211.3 IP, 2.43 ERA, 1.10 WHIP) and add him to this team, you end up with a 1.20 staff WHIP and a 3.33 ERA. If you instead add Eric Gagne (82.3 IP, 1.20 ERA, 0.69 WHIP) to the same roster, the result will be a 1.18 WHIP and a 3.34 ERA. That means that Gagne has a WHIP Imp of -.04 and an ERA Imp of -.15, while Prior’s stats are -.02 and -.16, respectively. These scores are virtually identical, even though Gagne pitched less than half as many innings. Here are the stats for the top 20 pitchers, rated by ERA Imp:
| Player | IP | ERA | EImp | WHIP | WImp | K |
| Pedro Martinez – Bos, SP | 186.7 | 2.22 | -0.169 | 1.039 | -0.024 | 206 |
| Jason Schmidt – SF, SP | 207.7 | 2.34 | -0.167 | 0.953 | -0.039 | 208 |
| Kevin Brown – NYA, SP | 211 | 2.39 | -0.162 | 1.137 | -0.012 | 185 |
| Mark Prior – ChN, SP | 211.3 | 2.43 | -0.156 | 1.103 | -0.017 | 245 |
| Eric Gagne – LA, RP | 82.3 | 1.20 | -0.145 | 0.692 | -0.033 | 137 |
| Tim Hudson – Oak, SP | 240 | 2.70 | -0.130 | 1.075 | -0.024 | 162 |
| Guillermo Mota – LA, RP | 105 | 1.97 | -0.120 | 0.990 | -0.018 | 99 |
| John Smoltz – Atl, RP | 64.3 | 1.12 | -0.119 | 0.870 | -0.018 | 73 |
| Damaso Marte – ChA, RP | 79.7 | 1.58 | -0.117 | 1.054 | -0.010 | 87 |
| Rheal Cormier – Phi, RP | 84.7 | 1.70 | -0.116 | 0.933 | -0.019 | 67 |
| Shigetoshi Hasegawa – Sea, RP | 73 | 1.48 | -0.113 | 1.096 | -0.007 | 32 |
| Billy Wagner – Phi, RP | 86 | 1.78 | -0.113 | 0.872 | -0.023 | 105 |
| Brendan Donnelly – Ana, RP | 74 | 1.58 | -0.109 | 1.068 | -0.009 | 79 |
| Mariano Rivera – NYA, RP | 70.7 | 1.66 | -0.100 | 1.005 | -0.012 | 63 |
| LaTroy Hawkins – ChN, RP | 77.3 | 1.86 | -0.097 | 1.086 | -0.008 | 75 |
| Keith Foulke – Bos, RP | 86.7 | 2.08 | -0.094 | 0.888 | -0.022 | 88 |
| Esteban Loaiza – ChA, SP | 226.3 | 2.90 | -0.092 | 1.113 | -0.017 | 207 |
| Brandon Webb – Ari, SP | 180.7 | 2.84 | -0.084 | 1.151 | -0.009 | 172 |
| Wilson Alvarez – LA, RP | 95 | 2.37 | -0.081 | 1.084 | -0.010 | 82 |
| Scot Shields – Ana, SP/RP | 148.3 | 2.85 | -0.069 | 1.187 | -0.004 | 111 |
| Legend EImp = ERA Imp WImp = WHIP Imp |
Note that the first few players on the list are starters, but out of the top 20, 12 are relievers (not including Scot Shields). Gagne has the second best WHIP Imp, and is very close to the top players in ERA Imp. So we can see from this that the best relievers are definitely three-category players, particularly the top closers (five of the top 20 pitchers are closers, plus Marte, who might fill that role this year; the other top six relievers are all set-up men).
These considerations apply to leagues with no innings limits. In such leagues, starters can be four-category standouts, while the best closers are only 3.5-category contributors, since their Ks just can’t keep up with those compiled by SPs. Many leagues, however, have innings maximums.
In an innings limit league, K/9 is a much more important stat than pure Ks, and closers generally have far better K/9 ratios than SPs (Gagne has 15 K/9, while Prior comes in at only about 10.5 K/9). Therefore, a closer will eat up less of your precious innings to give you the same ERA and WHIP improvement as your starters, and for each inning they use, they will give you more Ks.
So far, this comparison has only focused on the elite starters and closers. What about average players? Well, both starters and closers with average stats obviously will not change your WHIP or ERA at all. Therefore, you have to pick those players based on wins and saves. But the below-average closers generally have very similar ERAs to lower-tier starters (as opposed to the top closers who have much better ERAs than stud starters). In fewer innings, a late-round closer will thus hurt your ERA much less than a below-average starter, while still giving you decent K/9, and they are usually more help in the saves category than poor starters are in wins. But if you have to flesh out those last few spots on your staff, consider taking a premier set-up man who will significantly help your ratios.
Here are the complete stats:
| Player | IP | ERA | EImp | WHIP | WImp | K |
| Pedro Martinez – Bos, SP | 186.7 | 2.22 | -0.169 | 1.039 | -0.024 | 206 |
| Jason Schmidt – SF, SP | 207.7 | 2.34 | -0.167 | 0.953 | -0.039 | 208 |
| Kevin Brown – NYA, SP | 211 | 2.39 | -0.162 | 1.137 | -0.012 | 185 |
| Mark Prior – ChN, SP | 211.3 | 2.43 | -0.156 | 1.103 | -0.017 | 245 |
| Eric Gagne – LA, RP | 82.3 | 1.20 | -0.145 | 0.692 | -0.033 | 137 |
| Tim Hudson – Oak, SP | 240 | 2.70 | -0.130 | 1.075 | -0.024 | 162 |
| Guillermo Mota – LA, RP | 105 | 1.97 | -0.120 | 0.990 | -0.018 | 99 |
| John Smoltz – Atl, RP | 64.3 | 1.12 | -0.119 | 0.870 | -0.018 | 73 |
| Damaso Marte – ChA, RP | 79.7 | 1.58 | -0.117 | 1.054 | -0.010 | 87 |
| Rheal Cormier – Phi, RP | 84.7 | 1.70 | -0.116 | 0.933 | -0.019 | 67 |
| Shigetoshi Hasegawa – Sea, RP | 73 | 1.48 | -0.113 | 1.096 | -0.007 | 32 |
| Billy Wagner – Phi, RP | 86 | 1.78 | -0.113 | 0.872 | -0.023 | 105 |
| Brendan Donnelly – Ana, RP | 74 | 1.58 | -0.109 | 1.068 | -0.009 | 79 |
| Mariano Rivera – NYA, RP | 70.7 | 1.66 | -0.100 | 1.005 | -0.012 | 63 |
| LaTroy Hawkins – ChN, RP | 77.3 | 1.86 | -0.097 | 1.086 | -0.008 | 75 |
| Keith Foulke – Bos, RP | 86.7 | 2.08 | -0.094 | 0.888 | -0.022 | 88 |
| Esteban Loaiza – ChA, SP | 226.3 | 2.90 | -0.092 | 1.113 | -0.017 | 207 |
| Brandon Webb – Ari, SP | 180.7 | 2.84 | -0.084 | 1.151 | -0.009 | 172 |
| Wilson Alvarez – LA, RP | 95 | 2.37 | -0.081 | 1.084 | -0.010 | 82 |
| Scot Shields – Ana, SP/RP | 148.3 | 2.85 | -0.069 | 1.187 | -0.004 | 111 |
| David Riske – Cle, RP | 74.7 | 2.29 | -0.069 | 0.964 | -0.015 | 82 |
| Oscar Villarreal – Ari, RP | 98 | 2.57 | -0.068 | 1.286 | 0.005 | 80 |
| Octavio Dotel – Hou, RP | 87 | 2.48 | -0.067 | 0.966 | -0.017 | 97 |
| Curt Schilling – Bos, SP | 168 | 2.95 | -0.065 | 1.048 | -0.021 | 194 |
| Hideo Nomo – LA, SP | 218.3 | 3.09 | -0.061 | 1.250 | 0.005 | 177 |
| Carlos Zambrano – ChN, SP | 214 | 3.11 | -0.057 | 1.318 | 0.015 | 168 |
| Jose Valverde – Ari, RP | 50.3 | 2.15 | -0.053 | 0.993 | -0.009 | 71 |
| Danny Kolb – Mil, RP | 41.3 | 1.96 | -0.050 | 1.282 | 0.002 | 39 |
| Roy Oswalt – Hou, SP | 127.3 | 2.97 | -0.049 | 1.139 | -0.008 | 108 |
| Johan Santana – Min, SP/RP | 158.3 | 3.07 | -0.048 | 1.099 | -0.014 | 169 |
| Rod Beck – SD, RP | 35.3 | 1.78 | -0.048 | 1.019 | -0.006 | 32 |
| Mark Mulder – Oak, SP | 186.7 | 3.13 | -0.048 | 1.179 | -0.005 | 128 |
| Josh Beckett – Fla, SP | 142 | 3.04 | -0.047 | 1.324 | 0.011 | 152 |
| Livan Hernandez – Mon, SP | 233.3 | 3.20 | -0.047 | 1.209 | -0.002 | 178 |
| Joe Borowski – ChN, RP | 68.3 | 2.63 | -0.046 | 1.054 | -0.009 | 66 |
| Roy Halladay – Tor, SP | 266 | 3.25 | -0.043 | 1.071 | -0.027 | 204 |
| Kerry Wood – ChN, SP | 211 | 3.20 | -0.043 | 1.194 | -0.004 | 266 |
| Ugueth Urbina – Det, RP | 77 | 2.81 | -0.040 | 1.130 | -0.005 | 78 |
| Javier Vazquez – NYA, SP | 230.7 | 3.24 | -0.040 | 1.105 | -0.018 | 241 |
| Jason Isringhausen – StL, RP | 42 | 2.36 | -0.038 | 1.167 | -0.002 | 41 |
| Matt Mantei – Ari, RP | 55 | 2.62 | -0.038 | 1.000 | -0.009 | 68 |
| Tim Worrell – Phi, RP | 78.3 | 2.87 | -0.037 | 1.302 | 0.005 | 65 |
| Francisco Cordero – Tex, RP | 82.7 | 2.94 | -0.035 | 1.306 | 0.005 | 90 |
| Jamie Moyer – Sea, SP | 215 | 3.27 | -0.033 | 1.233 | 0.002 | 129 |
| Joe Nathan – Min, RP | 79 | 2.96 | -0.032 | 1.063 | -0.010 | 83 |
| Luis Ayala – Mon, RP | 71 | 2.92 | -0.031 | 1.099 | -0.007 | 46 |
| Eddie Guardado – Sea, RP | 65.3 | 2.89 | -0.030 | 0.980 | -0.012 | 60 |
| Barry Zito – Oak, SP | 231.7 | 3.30 | -0.030 | 1.183 | -0.006 | 146 |
| Francisco Rodriguez – Ana, RP | 86 | 3.03 | -0.030 | 0.988 | -0.015 | 95 |
| Armando Benitez – Fla, RP | 73 | 2.96 | -0.030 | 1.370 | 0.008 | 75 |
| Kip Wells – Pit, SP | 197.3 | 3.28 | -0.029 | 1.252 | 0.004 | 147 |
| Dontrelle Willis – Fla, SP | 160.7 | 3.30 | -0.022 | 1.282 | 0.007 | 142 |
| Tom Gordon – NYA, RP | 74 | 3.16 | -0.019 | 1.189 | -0.002 | 91 |
| Byung-Hyun Kim – Bos, SP/RP | 122.3 | 3.31 | -0.016 | 1.120 | -0.009 | 102 |
| Mike Mussina – NYA, SP | 214.7 | 3.40 | -0.013 | 1.081 | -0.021 | 195 |
| Troy Percival – Ana, RP | 49.3 | 3.47 | -0.001 | 1.135 | -0.003 | 48 |
| Mike Timlin – Bos, RP | 83.7 | 3.55 | 0.004 | 1.028 | -0.012 | 65 |
| Miguel Batista – Tor, SP | 193.3 | 3.54 | 0.007 | 1.329 | 0.015 | 142 |
| Braden Looper – NYN, RP | 80.7 | 3.68 | 0.012 | 1.376 | 0.010 | 56 |
| Ryan Franklin – Sea, SP | 212 | 3.57 | 0.012 | 1.226 | 0.001 | 99 |
| Cal Eldred – StL, RP | 67.3 | 3.74 | 0.013 | 1.381 | 0.008 | 67 |
| Mark Redman – Oak, SP | 190.7 | 3.59 | 0.014 | 1.222 | 0.000 | 151 |
| CC Sabathia – Cle, SP | 197.7 | 3.60 | 0.015 | 1.295 | 0.010 | 141 |
| Danys Baez – TB, RP | 75.7 | 3.81 | 0.019 | 1.163 | -0.003 | 66 |
| Vicente Padilla – Phi, SP | 208.7 | 3.62 | 0.019 | 1.236 | 0.002 | 133 |
| Mike MacDougal – KC, RP | 64 | 4.08 | 0.029 | 1.500 | 0.014 | 57 |
| Scott Williamson – Bos, RP | 62.7 | 4.16 | 0.033 | 1.404 | 0.009 | 74 |
| Matt Morris – StL, SP | 172.3 | 3.76 | 0.033 | 1.178 | -0.005 | 120 |
| Sidney Ponson – Bal, SP | 216 | 3.75 | 0.039 | 1.259 | 0.006 | 134 |
| Brian Anderson – KC, SP | 197.7 | 3.78 | 0.040 | 1.290 | 0.010 | 87 |
| Darrell May – KC, SP | 210 | 3.77 | 0.041 | 1.190 | -0.004 | 115 |
| Steve Trachsel – NYN, SP | 204.7 | 3.78 | 0.042 | 1.314 | 0.014 | 111 |
| Jorge Julio – Bal, RP | 61.7 | 4.38 | 0.043 | 1.524 | 0.015 | 52 |
| Joel Pineiro – Sea, SP | 211.7 | 3.78 | 0.043 | 1.266 | 0.007 | 151 |
| Mike Hampton – Atl, SP | 190 | 3.84 | 0.047 | 1.389 | 0.023 | 110 |
| Russ Ortiz – Atl, SP | 212.3 | 3.81 | 0.047 | 1.314 | 0.014 | 149 |
| Lance Carter – TB, RP | 79 | 4.33 | 0.051 | 1.152 | -0.004 | 47 |
| Chris Reitsma – Atl, RP | 84 | 4.29 | 0.052 | 1.321 | 0.007 | 53 |
| Woody Williams – StL, SP | 220.7 | 3.87 | 0.058 | 1.246 | 0.004 | 153 |
| Roger Clemens – Hou, SP | 211.7 | 3.91 | 0.062 | 1.214 | -0.001 | 190 |
| Bartolo Colon – Ana, SP | 242 | 3.87 | 0.063 | 1.198 | -0.004 | 173 |
| Rocky Biddle – Mon, RP | 71.7 | 4.65 | 0.064 | 1.549 | 0.018 | 54 |
| Al Leiter – NYN, SP | 180.7 | 3.99 | 0.065 | 1.494 | 0.035 | 139 |
| Greg Maddux – ChN, SP | 218.3 | 3.96 | 0.071 | 1.182 | -0.006 | 124 |
| Mike DeJean – Bal, RP | 82.7 | 4.68 | 0.076 | 1.512 | 0.019 | 71 |
| Adam Eaton – SD, SP | 183 | 4.08 | 0.077 | 1.317 | 0.013 | 146 |
| Andy Pettitte – Hou, SP | 208.3 | 4.02 | 0.077 | 1.330 | 0.016 | 180 |
| Kevin Millwood – Phi, SP | 222 | 4.01 | 0.080 | 1.252 | 0.005 | 169 |
| Wade Miller – Hou, SP | 187.3 | 4.13 | 0.085 | 1.308 | 0.012 | 161 |
| Jake Peavy – SD, SP | 194.7 | 4.11 | 0.085 | 1.310 | 0.012 | 156 |
| Tim Wakefield – Bos, SP | 202.3 | 4.09 | 0.085 | 1.305 | 0.012 | 169 |
| Matt Clement – ChN, SP | 201.7 | 4.11 | 0.088 | 1.230 | 0.001 | 171 |
| Brad Penny – Fla, SP | 196.3 | 4.13 | 0.089 | 1.278 | 0.008 | 138 |
| David Wells – SD, SP | 213 | 4.14 | 0.097 | 1.230 | 0.001 | 101 |
| Jeff Suppan – StL, SP | 204 | 4.19 | 0.100 | 1.314 | 0.013 | 110 |
| Kelvim Escobar – Ana, SP | 180.3 | 4.29 | 0.103 | 1.481 | 0.034 | 159 |
| Mark Buehrle – ChA, SP | 230.3 | 4.14 | 0.103 | 1.350 | 0.021 | 119 |
| Randy Wolf – Phi, SP | 200 | 4.23 | 0.104 | 1.270 | 0.007 | 177 |
| Ted Lilly – Tor, SP | 178.3 | 4.34 | 0.108 | 1.329 | 0.014 | 147 |
| Carl Pavano – Fla, SP | 201 | 4.30 | 0.115 | 1.259 | 0.006 | 133 |
| Brett Myers – Phi, SP | 193 | 4.43 | 0.128 | 1.456 | 0.032 | 143 |
| Odalis Perez – LA, SP | 185.3 | 4.52 | 0.136 | 1.279 | 0.008 | 141 |
| Derek Lowe – Bos, SP | 203.3 | 4.47 | 0.140 | 1.416 | 0.028 | 110 |
| Freddy Garcia – Sea, SP | 201.3 | 4.51 | 0.144 | 1.326 | 0.015 | 144 |
| Gil Meche – Sea, SP | 186.3 | 4.59 | 0.146 | 1.342 | 0.016 | 130 |
| Ben Sheets – Mil, SP | 220.7 | 4.45 | 0.147 | 1.246 | 0.004 | 157 |
| Brad Radke – Min, SP | 212.3 | 4.49 | 0.148 | 1.272 | 0.008 | 120 |
| Kyle Lohse – Min, SP | 201 | 4.61 | 0.158 | 1.274 | 0.008 | 130 |
Chris Berger, also known in the Forums as EugeneStyles, is always willing to give an opinion on topics ranging from fantasy baseball to hot fall fashion trends.
| What strategy do you use when it comes to closers? Do you use them for help in several categories, or only as a source of saves? Join the discussion in the Forums! |

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