Pete Fairbanks

P Miami Marlins
Age 33 RHP 6'6" / 235 lbs MLB peak 0.2 · 2027
Overview
MLBRP40-MAN
YearAgeLvl / TeamGGSIPERAFIPK%BB%WARMLE rates
202430MIX2 levels480473.423.2124.0%7.8%0.8K 23.8% · BB 8.1% · FIP 3.34
202531MLBTB610602.833.5524.2%7.4%0.7
202632MLBMIA461416.314.3131.1%10.9%0.1
2027PROJ33MLBMIA420444.144.1428.2%9.4%0.2
2028PROJ95% MLB34MLBMIA330354.324.4427.3%9.9%0.0
Last 3 seasons WAR 1.6  ·  Next 2 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.
Contract
No contract data on file.
Skills · percentileStatcast 2026
K%90
FB Velo88
xwOBA vs41
CompsJim Henderson (age 33) · Joe Nelson (age 33) · Tony Barnette (age 33)
2027 FULL-SEASON PROJECTIONrates below = full-season projection
showingPROJ
wRC+ AGAINSTvL 112104vR 96
ERA4.14
FIP4.14
K%28.2%
BB%9.4%
K-BB%18.8%
Proj IP44
Value2027 · WAR
Runs saved vs league avg · 44 IP
K: +2.5 runs (Runs saved by strikeouts vs lg-avg K%)+2KBB: -0.5 runs (Runs saved by walk suppression vs lg-avg BB%)-0BBCONTACT: -1.8 runs (Runs saved on contact quality (HR suppression) vs lg)-2CONTACTSTAM: +1.8 runs (Replacement credit for innings volume)+2STAMTotal WAR: +0.21 (44 IP)+0.2WAR
0.20.02728
Grades · Statcast · Contract
Scouting Grades
STUF4545
CTRL5050
CMD5050
K†6565
Statcast Percentiles
FB Velo
p8897.2
Whiff%
p9031.9%
K%
p9031.1%
xwOBA vs
p410.322

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.
basis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral
Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.

YearAge LvlTeam GGSIPBF KBBHR GS%IP/G K%BB%K-BB%HR% ERAFIP WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
201622A MLEHickory Crawdads24161014468031967%4.213.3%8.2%5.1%2.4%4.884.33—
201622A RAWHickory Crawdads24161014468031967%4.217.9%7.0%11.0%2.0%4.883.59—
201723A+ MLEDown East Wood Ducks9119881013111%2.18.8%17.0%-8.2%1.4%5.795.30—
201723A+ RAWDown East Wood Ducks9119881013111%2.111.4%14.8%-3.4%1.1%5.794.81—
201925MIX MLE4 levels61165280982292%1.129.5%9.0%20.6%3.5%5.293.68+0.7
201925MIX RAW4 levels61165280982292%1.135.0%7.9%27.1%3.2%5.292.90+1.3
202026MLB MLETampa Bay Rays27227117391427%1.033.3%12.0%21.4%1.8%2.702.77+0.6
202026MLB RAWTampa Bay Rays27227117391427%1.033.3%12.0%21.4%1.7%2.702.73+0.6
202127MIX MLE2 levels49045196582030%0.929.6%10.6%19.0%1.1%3.632.54+1.1
202127MIX RAW2 levels49045196582030%0.929.6%10.2%19.4%1.5%3.632.72+1.0
202228MIX MLE3 levels3103011747620%1.043.7%3.4%40.2%1.2%1.820.50+1.5
202228MIX RAW3 levels3103011747620%1.040.2%5.1%35.0%1.7%1.821.41+1.1
202329MIX MLE3 levels51147191722032%0.937.0%10.9%26.1%1.7%2.682.28+1.3
202329MIX RAW3 levels51147191722032%0.937.7%10.5%27.2%1.6%2.682.14+1.4
202430MIX MLE2 levels48047192461540%1.023.8%8.1%15.7%2.2%3.423.34+0.7
202430MIX MLE2 levels48047192461540%1.023.8%8.1%15.7%2.2%3.423.34+0.7
202430MIX RAW2 levels48047192461540%1.024.0%7.8%16.1%2.1%3.423.21+0.8
202531MLB MLETampa Bay Rays61060244591870%1.024.2%7.4%16.8%2.8%2.833.52+0.7
202531MLB MLETampa Bay Rays61060244591870%1.024.2%7.4%16.8%2.8%2.833.52+0.7
202531MLB RAWTampa Bay Rays61060244591870%1.024.2%7.4%16.8%2.9%2.833.55+0.7
202632MLB MLEMiami Marlins46141183572082%0.931.1%10.9%20.2%4.6%6.314.38+0.1
202632MLB MLEMiami Marlins46141183572082%0.931.1%10.9%20.2%4.6%6.314.38+0.1
202632MLB RAWMiami Marlins46141183572082%0.931.1%10.9%20.2%4.4%6.314.31+0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career—32133071288389120321%1.030.2%9.3%20.9%2.5%3.613.09+5.3
▸ 2027 season — projected remainder (no 2027 stats recorded)
202733MLBMIA42044186521760%1.028.2%9.4%18.8%3.4%4.144.14+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
202834MLB MLEMIA35037155421560%1.027.3%9.9%17.4%3.7%4.324.44+0.0
202834MLB CTXMIA33035148401550%1.127.3%9.9%17.4%3.7%4.324.44+0.0
▸ Career totals — MLB only (actual + projected)
Career— RAW35433421435429135371%1.029.9%9.4%20.5%2.6%3.683.19+5.5
/ 200 IP— RAW207220084025179221%1.029.9%9.4%20.5%2.6%3.683.19+3.2
Career— MLE407224822054530190505%1.225.8%9.2%16.6%2.4%4.053.43+5.4
/ 200 IP— MLE169920085322079215%1.225.8%9.2%16.6%2.4%4.053.43+3.1

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2022 AAADurham Bulls · 5 IPFIP 4.45 → 4.95 (+0.50)K% 28.0% → 24.6%
ComponentRawPark ÷Level factor ×= MLE
K% /BF28.00%—×0.88024.64%
BB% (unintentional) /BF12.00%—×1.05012.60%
HR / BF /BF4.00%÷1.034×1.1004.26%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 107).

Result: FIP 4.45 → 4.95, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 AAADurham Bulls · 24 IPFIP 2.86 → 3.25 (+0.39)K% 38.7% → 34.0%
ComponentRawPark ÷Level factor ×= MLE
K% /BF38.68%—×0.88034.04%
BB% (unintentional) /BF7.55%—×1.0507.92%
HR / BF /BF3.77%÷1.128×1.1003.68%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 126).

Result: FIP 2.86 → 3.25, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 A+Down East Wood Ducks · 12 IPFIP 1.61 → 2.33 (+0.72)K% 29.4% → 22.6%
ComponentRawPark ÷Level factor ×= MLE
K% /BF29.41%—×0.77022.65%
BB% (unintentional) /BF7.84%—×1.1509.02%
HR / BF /BF0.00%÷1.152×1.2500.00%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 130).

Result: FIP 1.61 → 2.33, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 AAFrisco RoughRiders · 7 IPFIP -1.83 → -0.89 (+0.94)K% 58.3% → 47.3%
ComponentRawPark ÷Level factor ×= MLE
K% /BF58.33%—×0.81047.25%
BB% (unintentional) /BF0.00%—×1.1000.00%
HR / BF /BF0.00%÷1.208×1.2000.00%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 142).

Result: FIP -1.83 → -0.89, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2017 A+Down East Wood Ducks · 19 IPFIP 4.64 → 5.30 (+0.66)K% 11.4% → 8.8%
ComponentRawPark ÷Level factor ×= MLE
K% /BF11.36%—×0.7708.75%
BB% (unintentional) /BF14.77%—×1.15016.99%
HR / BF /BF1.14%÷0.995×1.2501.43%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 99).

Result: FIP 4.64 → 5.30, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2016 AHickory Crawdads · 101 IPFIP 3.57 → 4.33 (+0.75)K% 17.9% → 13.3%
ComponentRawPark ÷Level factor ×= MLE
K% /BF17.94%—×0.74013.27%
BB% (unintentional) /BF6.95%—×1.1808.20%
HR / BF /BF2.02%÷1.100×1.3002.38%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 120).

Result: FIP 3.57 → 4.33, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player162sIP/yrK%BB%HR/9ERA
OGILVIE CAREER PROJECTION1.93929.7%9.6%1.053.74
Héctor Neris ('25)3.15729.4%9.2%1.193.47
Matt Barnes ('24)2.35229.0%10.6%1.024.21
Mychal Givens ('23)2.35828.2%10.0%1.053.47
Mike Schooler ('88-'93, 5 WAR*)1.54926.9%*8.0%*0.96*3.68*
Alberto Reyes ('95-'08, 5 WAR*)2.15427.1%*10.2%*1.18*3.66*
Paul Assenmacher ('86-'99, 12 WAR*)4.36127.8%*8.3%*0.98*3.61*