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Pitcher fatigue shows up in velocity drops, pitch-count carryover from previous starts, and short-rest patterns. Fatigued starters tend to allow more runs than rested versions of themselves, though studies find the next-start effect is small. Models that catch fatigue spots look for value on overs and underdog moneylines.
Starting pitcher fatigue can cost a team runs versus the same pitcher fully rested, though published studies find the next-start effect of a heavy workload is small. Signs of fatigue: velocity down 1+ mph, recent pitch-count over 105 in the previous start, short rest (three days or fewer), and second start back from injury. Models that catch fatigue spots find +EV on overs and underdog moneylines.
The model uses three starter-fatigue inputs, each a small term in the full-game moneyline margin. velo_drop_home and velo_drop_away compare a starter's recent fastball velocity with his season average and add runs against his side once the drop passes 0.5 mph. pitch_count_carry_home and pitch_count_carry_away add a penalty when his last outing reached 105 pitches, rising at 110 and 115. rest_home and rest_away penalize a start coming three or fewer days after his last one, or 11 or more days after it; four or five days counts as standard. These inputs rarely fire. See the methodology page for the full input list.
Pitcher fatigue can cost a team runs versus the same pitcher fully rested, though studies find the next-start effect of a heavy workload is small. Fatigue signals: velocity drop of 1+ mph, previous start pitch count over 105, short rest (three days or fewer), second start back from injury. Models that catch fatigue spots look for value on overs, underdog moneylines, and F5 overs.
The four main signs of starting pitcher fatigue are: (1) velocity drop of 1+ mph from season average, (2) previous start pitch count over 105, (3) short rest (three days or fewer), especially after a high-volume outing, (4) second start back from injury when stamina hasn't fully returned. Any single signal is noise; 2+ stacking is meaningful.
Slightly. Research on MLB starters finds that a heavy pitch count in one start raises the next start's ERA only a little, and that days of rest are only weakly related to performance. There is no clear pitch-count threshold where next-start performance falls off.
Best bets when identifying pitcher fatigue: over the total (more runs allowed), opposing moneyline (dog gets boost), F5 over (fatigue shows in 3rd-5th innings), and YRFI (wild starters come out hot). Avoid betting against rested aces; 6-day-rest is the OPPOSITE of fatigue and often produces sharp starts.
The model uses three starter-fatigue inputs, all small terms in the full-game moneyline margin: recent fastball velocity versus season average (velo_drop_home/away, which adds runs once the drop passes 0.5 mph), last-outing pitch count (pitch_count_carry_home/away, starting at 105 pitches), and days since the last start (rest_home/away, which penalizes three or fewer days and layoffs of 11 or more days). These inputs rarely fire.