Executive Summary for how much we let pitchers throw:
| Pitching in playoff game | Rules for use in Next Game |
|---|---|
| Pitches for 2nd straight game | Cannot Pitch |
| Pitch to at least 6 batters | Cannot Pitch |
| Pitch to 1 to 5 batters | PB lowered by 1; max 8 batters between BOTH games |
| Regular season 1 of 2 games only | (all regular season series are 2-games in our league) |
In my regular season, I allow pitchers to finish the inning or pitch to either 3 or 4 pitchers - no more or no less - to make the game move along, so I've been a step ahead of MLB. I also only allowed each reliever to pitch one out of every two games - and I play all 2-game series to make it easy to keep track. If a pitcher is used in the first of two games then he is not available in the second game, but if not then you may as well use him if needed. This gives a very realistic maximum use of each pitcher over the course of a season.
However, in the playoffs pitchers are actually used more - so I did a study to decide how much to use them in my upcoming playoffs. I researched any pitcher who pitched at least half of the teams playoff games for any of the ALCS or NLCS teams (47 total pitchers, or an average of four pitchers for each of the 12 League Championship teams. The following lists the team, how many playoff games the team had that season, and how many of those games the pitcher was used and what percentage of games that represents.
The "RR" is a Statis-Pro term for tracking the reduction of a reliever's endurance for every time he allows a player to reach first, or allowed an earned run or inning ends, and this figure averaged 2.6 among these pitchers. The pitchers threw to an average of four batters in each of these games. Based on that, I am using these rules for playoff pitchers.
Here are the pitchers on which I based this number.
| Pitched half PO Gms | TEAM | Year | Team Gms | Pitcher Gms | % games | Ave. RR | Batter/Gm | ERA |
|---|---|---|---|---|---|---|---|---|
| Top 4 relievers each team | 12.5 | 8.0 | 64% | 2.6 | 4.0 | 3.43 | ||
| Brandon Morrow | LAD | 2017 | 15 | 14 | 93% | 2.3 | 3.5 | 3.95 |
| Corey Knebel | MIL | 2018 | 10 | 9 | 90% | 1.8 | 3.6 | 0.90 |
| Roberto Osuna | TOR | 2016 | 8 | 7 | 88% | 1.9 | 4.0 | 0.00 |
| Kenley Jansen | LAD | 2017 | 15 | 13 | 87% | 2.3 | 4.2 | 1.62 |
| Aroldis Chapman | CHC | 2016 | 16 | 13 | 81% | 2.9 | 4.5 | 3.45 |
| Jeremy Jeffress | MIL | 2018 | 10 | 8 | 80% | 4.3 | 5.2 | 6.75 |
| Brett Cecil | TOR | 2016 | 8 | 6 | 75% | 1.2 | 2.3 | 0.00 |
| Joe Biagini | TOR | 2016 | 8 | 6 | 75% | 1.9 | 3.9 | 0.00 |
| Tony Watson | LAD | 2017 | 15 | 11 | 73% | 1.4 | 2.3 | 2.57 |
| Matt Barnes | BOS | 2018 | 14 | 10 | 71% | 1.8 | 3.1 | 1.04 |
| Carl Edwards Jr. | CHC | 2017 | 10 | 7 | 70% | 2.6 | 2.8 | 11.57 |
| Joakim Soria | MIL | 2018 | 10 | 7 | 70% | 2.3 | 2.8 | 7.71 |
| Josh Hader | MIL | 2018 | 10 | 7 | 70% | 2.3 | 4.7 | 0.00 |
| Mike Montgomery | CHC | 2016 | 16 | 11 | 69% | 3.6 | 5.4 | 3.14 |
| Ryan Madson | LAD | 2018 | 16 | 11 | 69% | 2.0 | 3.1 | 2.08 |
| Andrew Miller | CLE | 2016 | 15 | 10 | 67% | 3.9 | 6.9 | 1.40 |
| Cody Allen | CLE | 2016 | 15 | 10 | 67% | 2.6 | 4.9 | 0.00 |
| Ryan Brasier | BOS | 2018 | 14 | 9 | 64% | 2.4 | 3.8 | 1.04 |
| Craig Kimbrel | BOS | 2018 | 14 | 9 | 64% | 3.8 | 4.9 | 5.91 |
| Joe Kelly | BOS | 2018 | 14 | 9 | 64% | 2.2 | 4.2 | 0.79 |
| Joe Blanton | LAD | 2016 | 11 | 7 | 64% | 3.7 | 4.7 | 7.88 |
| Kenley Jansen | LAD | 2016 | 11 | 7 | 64% | 3.6 | 5.7 | 3.09 |
| Pedro Baez | LAD | 2016 | 11 | 7 | 64% | 2.7 | 4.1 | 2.57 |
| Grant Dayton | LAD | 2016 | 11 | 7 | 64% | 2.0 | 2.3 | 8.10 |
| Lance McCullers Jr. | HOU | 2018 | 8 | 5 | 63% | 2.4 | 3.9 | 1.80 |
| Ryan Pressly | HOU | 2018 | 8 | 5 | 63% | 2.0 | 3.5 | 1.80 |
| Pedro Baez | LAD | 2018 | 16 | 10 | 63% | 2.2 | 3.9 | 1.59 |
| Jason Grilli | TOR | 2016 | 8 | 5 | 63% | 0.8 | 1.9 | 0.00 |
| David Robertson | NYY | 2017 | 13 | 8 | 62% | 4.3 | 6.3 | 4.15 |
| Kenta Maeda | LAD | 2017 | 15 | 9 | 60% | 2.0 | 3.8 | 0.84 |
| Corbin Burnes | MIL | 2018 | 10 | 6 | 60% | 2.7 | 4.9 | 2.00 |
| Travis Wood | CHC | 2016 | 16 | 9 | 56% | 1.7 | 2.6 | 2.84 |
| Kenley Jansen | LAD | 2018 | 16 | 9 | 56% | 2.1 | 3.8 | 1.69 |
| Alex Wood | LAD | 2018 | 16 | 9 | 56% | 2.5 | 3.2 | 5.40 |
| Chris Devenski | HOU | 2017 | 18 | 10 | 56% | 2.8 | 3.4 | 9.00 |
| Tommy Kahnle | NYY | 2017 | 13 | 7 | 54% | 3.2 | 5.4 | 2.38 |
| Eduardo Rodriguez | BOS | 2018 | 14 | 7 | 50% | 4.0 | 5.4 | 6.30 |
| Wade Davis | CHC | 2017 | 10 | 5 | 50% | 4.0 | 5.5 | 4.26 |
| Brian Duensing | CHC | 2017 | 10 | 5 | 50% | 2.2 | 3.8 | 1.69 |
| Pedro Strop | CHC | 2017 | 10 | 5 | 50% | 2.0 | 3.6 | 1.69 |
| Mike Montgomery | CHC | 2017 | 10 | 5 | 50% | 6.0 | 5.8 | 16.62 |
| Pedro Strop | CHC | 2016 | 16 | 8 | 50% | 1.7 | 2.5 | 3.18 |
| Carl Edwards Jr. | CHC | 2016 | 16 | 8 | 50% | 2.1 | 3.2 | 2.84 |
| Collin McHugh | HOU | 2018 | 8 | 4 | 50% | 1.3 | 3.0 | 0.00 |
| Roberto Osuna | HOU | 2018 | 8 | 4 | 50% | 4.3 | 5.6 | 7.50 |
| Dylan Floro | LAD | 2018 | 16 | 8 | 50% | 2.5 | 3.6 | 3.86 |
| Kenta Maeda | LAD | 2018 | 16 | 8 | 50% | 2.7 | 3.6 | 4.05 |
| Top 4 relievers each team | 12.5 | 8.0 | 64% | 2.6 | 4.0 | 3.43 |
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