Tyler Zuber P Jacksonville Jumbo Shrimp
Age 31 RHP 5'11" / 195 lbs AAA
2026 ROS PROJECTION40 act + 51 ip · rates below = ROS only
wRC+ AGAINSTvL 125116vR 107
ERA4.54
FIP4.68
K%23.0%
BB%11.4%
K-BB%11.5%
ROS IP51
Value2026 · WAR
Runs saved vs league avg · 91 IP
K: +2.3 runs (Runs saved by strikeouts vs lg-avg K%)+2KBB: -2.3 runs (Runs saved by walk suppression vs lg-avg BB%)-2BBCONTACT: -5.5 runs (Runs saved on contact quality (HR suppression) vs lg)-6CONTACTSTAM: +10.4 runs (Replacement credit for innings volume)+10STAMTotal WAR: +0.52 (91 IP)+0.5WAR
-0.2-0.4-0.52628
Grades · Statcast · Arsenal · Contract
Scouting Grades
STUF5050
CTRL4040
CMD4545
K†5050
Statcast Percentiles
FB Velo
p5594.9
Whiff%
p1220.0%
K%
p5022.2%
xwOBA vs
p510.311
SI (12%)
FB (40%)
CH-0.8 (7%)
SL-1.7 (45%)
CT-2.6 (8%)

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

Viewactual = stats as recorded (seasons combined) + projected real-world MLB lines · MLE = level/park-neutral translations
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 industry-standard fWAR.

YearAge LvlTeam GGSIPBF KBBHR GS%IP/G K%BB%K-BB%HR% ERAFIP WAR
201722MIX2 levels19027127391000%1.423.5%8.0%15.5%0.0%3.622.12
201722MIX2 levels19027127391000%1.430.7%7.9%22.8%0.0%3.621.34
201823MIX2 levels43051211701150%1.224.9%6.1%18.8%3.3%3.883.59
201823MIX2 levels43051211701150%1.233.2%5.2%28.0%2.4%3.882.28
201924MIX2 levels43055215681420%1.324.9%7.4%17.5%1.4%1.792.70
201924MIX2 levels43055215681420%1.331.6%6.5%25.1%0.9%1.791.87
202025MLBKansas City Royals2302299301940%1.030.3%19.2%11.1%4.3%4.095.34-0.2
202025MLBKansas City Royals2302299301940%1.030.3%19.2%11.1%4.0%4.095.33-0.2
202126MIX2 levels59056239682990%0.926.3%12.4%13.9%4.0%4.504.64-0.1
202126MIX2 levels59056239682990%0.928.5%12.1%16.3%3.8%4.504.31+0.2
202328AAAReno Aces1602190181030%1.317.6%11.7%5.9%3.6%5.235.06
202328AAAReno Aces1602190181030%1.320.0%11.1%8.9%3.3%5.234.70
202429MIX2 levels37041189512260%1.123.8%12.1%11.7%2.8%6.374.17+0.2
202429MIX2 levels37041189512260%1.127.0%11.6%15.3%3.2%6.374.12+0.2
202530MIX2 levels41250230532385%1.221.0%10.4%10.6%4.4%6.845.03-0.3
202530MIX2 levels41250230532385%1.223.0%10.0%13.0%3.5%6.844.44+0.1
▸ 2026 Season
202631MLBMiami Marlins34140181551983%1.227.5%10.9%16.6%4.8%4.764.77-0.1
ROS31MLBMIA49051216502580%1.023.0%11.4%11.5%3.8%4.544.68-0.1
ROS31MLBMIA49051215492580%1.023.0%11.4%11.5%3.8%4.544.68-0.1
2026 TOT31MLBMIA91397105441626.3%11.0%15.3%4.1%4.644.72+0.5
2026 FULL31MLBMIA63266105441639.2%16.4%22.8%6.1%6.675.19-0.4
▸ 2027+ Projections   WITH CONTEXT · MLB TIME ONLY ⓘ
202732MLBMIA560582475227100%1.021.2%11.0%10.2%3.9%5.045.19-0.4
202833MLBMIA51054226462690%1.120.5%11.3%9.2%4.1%5.245.41-0.5
202732MLBMIA52055232492590%1.121.2%11.0%10.2%3.9%5.045.19-0.4
202833MLBMIA49051215442490%1.020.5%11.3%9.2%4.1%5.245.41-0.5
▸ Career (MLB actual + context projections)
Career23002341015228120420%1.022.5%11.8%10.7%4.1%5.254.96+1.2
/ 200 IP1960200867195102360%1.022.5%11.8%10.7%4.1%5.254.96+1.0
Career31533631581388164511%1.224.5%10.4%14.1%3.2%4.514.12+5.4
/ 200 IP174220087121491281%1.224.5%10.4%14.1%3.2%4.514.12+3.0

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

Profile at Match Age Next 3 Yrs Career
CompAgeRole FIPK%BB%HR/BFBABIP FIPK%K-BB%IP ΔFIPLow FIPIPMatch
Tyler Zuber (OGILVIE) 5.11 21.8%11.5%3.7% 5.30 20.9%9.8%112 +0.19
Fernando Nieve R 2028 · 4.17 FIP 33 SU 4.17 22.0%10.5%2.9%.290 2.37 26.9%22.6%89 -1.80 2.08 112 81
Chris Hatcher R 2026 · 4.85 FIP 31 SU 4.85 23.8%9.4%4.7%.283 4.58 22.0%13.8%96 -0.27 3.05 176 78
Mike Broadway R 2026 · 4.56 FIP 31 SU 4.56 23.0%10.6%3.7%.282 1.74 195 77
Daniel Hudson R 2026 · 4.08 FIP 31 SU 4.08 22.3%8.6%3.2%.246 3.76 28.8%20.4%145 -0.32 1.74 468 77
Ryan Cook R 2026 · 4.04 FIP 31 SU 4.04 25.1%10.8%3.1%.280 4.04 102 75
Alexi Ogando R 2026 · 5.03 FIP 31 SU 5.03 19.1%9.4%4.3%.253 3.84 17.2%8.0%67 -1.19 3.73 132 73
Dustin Molleken R 2026 · 4.18 FIP 31 SU 4.18 19.6%12.1%2.2%.276 3.35 24.3%11.9%16 -0.83 3.35 129 71
Jon Edwards R 2026 · 4.46 FIP 31 SU 4.46 25.1%11.6%3.7%.290 2.30 132 71
Jean Machi R 2028 · 4.50 FIP 33 SU 4.50 16.3%8.6%3.1%.276 4.06 18.5%11.9%128 -0.44 3.92 186 71
Andrew Robinson R 2024 · 4.39 FIP 29 SU 4.39 23.4%8.8%3.9%.245 2.96 160 70
Bryan Shaw R 2026 · 4.29 FIP 31 SU 4.29 18.6%9.0%3.0%.268 4.46 20.7%10.1%136 +0.17 2.78 596 70
Tyler Thornburg R 2025 · 6.13 FIP 30 SU 6.13 23.1%14.3%5.8%.330 3.89 17.5%6.3%33 -2.24 2.67 301 70
Angel Castro R 2027 · 4.89 FIP 32 SU 4.89 15.9%8.0%3.9%.268 4.43 13.6%5.5%231 -0.46 3.48 292 70
Junichi Tazawa R 2026 · 4.66 FIP 31 SU 4.66 16.0%7.6%3.6%.270 4.93 19.3%9.7%63 +0.27 2.90 227 69
Miguel Mejia R 2026 · 4.23 FIP 31 SU 4.23 15.7%10.7%2.0%.341 3.46 108 69
Tanner Scheppers R 2025 · 4.65 FIP 30 SU 4.65 15.7%6.7%3.7%.301 4.39 101 69
Ryan Brasier R 2026 · 4.04 FIP 31 SU 4.04 25.3%8.3%3.7%.278 3.50 24.3%18.2%99 -0.54 2.27 426 69
Logan Ondrusek R 2028 · 5.45 FIP 33 SU 5.45 23.8%7.4%6.2%.353 5.61 17.5%9.2%120 +0.16 4.35 138 68
Jeff Manship R 2026 · 4.88 FIP 31 SU 4.88 19.0%10.6%3.7%.262 2.75 114 68
Austin Adams R 2027 · 6.16 FIP 32 SU 6.16 20.8%10.6%6.3%.280 3.39 162 67

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 327 completed pitcher careers (2015-2024).

PlayerYrsIP/yrK%BB%HR/9ERA
OGILVIE CAREER PROJECTION35821.2%11.3%1.495.08
Travis Wood ('17)38520.8%9.8%1.344.72
José Ruiz ('24)55222.2%10.4%1.414.41
Bud Norris ('18)47922.7%9.2%1.285.07
Roansy Contreras ('24)37719.5%10.1%1.364.78
Drew VerHagen ('23)64319.7%9.4%1.404.82
Jorge De La Rosa ('18)49819.5%10.3%1.224.52