Guillo Zuñiga P Binghamton Rumble Ponies
Age 27 RHP 6'5" / 230 lbs AA
2026 ROS PROJECTION15 act + 56 ip · rates below = ROS only
wRC+ AGAINSTvL 133124vR 115
ERA4.78
FIP5.07
K%18.0%
BB%11.5%
K-BB%6.5%
ROS IP56
Value2026 · WAR
Runs saved vs league avg · 71 IP
K: -1.6 runs (Runs saved by strikeouts vs lg-avg K%)-2KBB: -4.7 runs (Runs saved by walk suppression vs lg-avg BB%)-5BBCONTACT: +7.5 runs (Runs saved on contact quality (HR suppression) vs lg)+7CONTACTSTAM: +4.8 runs (Replacement credit for innings volume)+5STAMTotal WAR: +0.63 (71 IP)+0.6WAR
-0.2-0.2-0.32628
Grades · Statcast · Arsenal · Contract
Scouting Grades
STUF4545
CTRL4545
CMD4545
K†4045
Statcast Percentiles
FB Velo
p8496.9
Whiff%
p1620.5%
K%
p1015.8%
xwOBA vs
p440.319
SI (35%)
CH (11%)
SL (22%)
FB-1.1 (68%)

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
201617ROKDSL Braves5010439220%2.120.9%4.7%16.3%4.7%2.614.47
201617ROKDSL Braves5010439220%2.120.9%4.7%16.3%4.7%2.614.45
201718ROKGCL Braves8619961210075%2.48.5%13.0%-4.5%0.0%5.594.03
201718ROKGCL Braves8619961210075%2.412.5%10.4%2.1%0.0%5.593.41
201819ROKAZL Dodgers122371614113017%3.117.3%10.1%7.2%0.0%3.862.92
201819ROKAZL Dodgers122371614113017%3.125.5%8.1%17.4%0.0%3.861.95
201920MIX2 levels335682888128715%2.121.0%11.4%9.6%3.1%4.084.47
201920MIX2 levels335682888128715%2.128.1%9.7%18.4%2.4%4.083.29
202122AATulsa Drillers25035145491250%1.427.4%9.1%18.3%4.8%3.064.55
202122AATulsa Drillers25035145491250%1.433.8%8.3%25.5%3.4%3.063.18
202223AATulsa Drillers480552416627120%1.122.2%12.3%9.9%6.1%4.776.11
202223AATulsa Drillers480552416627120%1.127.4%11.2%16.2%5.0%4.775.02
202324MIX2 levels31033154412060%1.122.3%14.4%7.9%5.0%7.445.76-0.5
202324MIX2 levels31033154412060%1.126.6%13.0%13.6%3.9%7.444.81-0.1
202425MIX3 levels43246199311595%1.114.0%7.7%6.3%5.8%5.096.11-0.8
202425MIX3 levels43246199311595%1.115.6%7.5%8.0%4.5%5.095.27-0.4
202526AAATacoma Rainiers42046203462430%1.119.9%12.4%7.5%1.2%5.243.62
202526AAATacoma Rainiers42046203462430%1.122.7%11.8%10.8%1.5%5.243.51
▸ 2026 Season
202627MLBNew York Mets1501567191300%1.03.07
ROS27MLBNYM53056236422770%1.118.0%11.5%6.5%3.0%4.785.07-0.3
ROS27MLBNYM53056236422770%1.118.0%11.5%6.5%3.0%4.785.07-0.3
2026 TOT27MLBNYM713036140720.3%13.3%7.0%2.3%4.424.02+0.6
2026 FULL27MLBNYM572406140725.6%16.7%8.8%2.9%5.494.68-0.1
▸ 2027+ Projections   WITH CONTEXT · MLB TIME ONLY ⓘ
202728MLBNYM53055233432770%1.018.4%11.4%6.9%3.1%4.935.08-0.3
202829MLBNYM50053223402670%1.118.2%11.5%6.7%3.2%5.065.18-0.4
202728MLBNYM50052220402570%1.018.4%11.4%6.9%3.1%4.935.08-0.3
202829MLBNYM48050211382470%1.018.2%11.5%6.7%3.2%5.065.18-0.4
▸ Career (MLB actual + context projections)
Career169017975713884260%1.118.3%11.1%7.2%3.4%4.904.83+1.2
/ 200 IP189020084515494290%1.118.3%11.1%7.2%3.4%4.904.83+1.3
Career262153651597321182546%1.420.1%11.4%8.7%3.4%4.644.71+3.0
/ 200 IP1448200875176100306%1.420.1%11.4%8.7%3.4%4.644.71+1.6

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
Guillo Zuñiga (OGILVIE) 5.07 18.0%11.5%3.0% 5.13 18.3%6.8%108 +0.06
Tanner Scheppers R 2027 · 4.39 FIP 28 SU 4.39 17.7%11.2%2.5%.263 4.65 15.7%9.0%48 +0.26 4.39 101 88
Ryan Cook R 2027 · 4.69 FIP 28 SU 4.69 16.5%9.9%3.1%.297 4.04 25.1%14.3%50 -0.65 4.04 102 86
Spencer Bivens R 2027 · 4.81 FIP 28 SU 4.81 19.8%13.5%3.0%.265 3.88 18.2%10.2%272 -0.93 3.53 365 85
Gonzalez Germen R 2026 · 4.11 FIP 27 SU 4.11 18.0%12.5%1.7%.296 3.74 19.2%8.3%54 -0.37 3.74 146 84
Chris Beck R 2026 · 4.83 FIP 27 SU 4.83 17.4%12.2%3.0%.305 5.33 18.1%9.3%41 +0.50 3.11 313 84
Luis Mateo R 2026 · 4.33 FIP 27 SU 4.33 17.6%11.2%2.4%.309 5.34 8.6%-4.8%43 +1.01 3.43 160 84
Domingo Tapia R 2026 · 4.72 FIP 27 SU 4.72 15.2%11.1%2.7%.314 3.87 18.1%6.4%115 -0.85 3.34 395 84
Joe Colón J R 2026 · 4.04 FIP 27 SU 4.04 20.4%12.1%2.1%.315 3.28 113 83
Armando Rivero R 2026 · 4.39 FIP 27 SU 4.39 18.7%13.5%2.1%.256 2.81 32.9%19.8%68 -1.58 2.81 125 83
Josh Zeid R 2027 · 4.21 FIP 28 SU 4.21 16.6%12.5%1.7%.302 5.16 16.9%5.7%194 +0.95 4.21 265 81
Ronald Peña R 2026 · 4.51 FIP 27 SU 4.51 20.5%12.6%2.8%.355 4.54 16.5%6.1%39 +0.03 3.57 187 81
Julian Arballo R 2026 · 5.47 FIP 27 SU 5.47 15.1%13.8%3.5%.335 4.38 12.6%0.6%116 -1.09 4.28 214 81
Tucker Healy R 2026 · 4.52 FIP 27 SU 4.52 15.6%11.5%2.3%.321 5.43 19.2%8.7%24 +0.91 2.85 174 80
Michael Blazek R 2026 · 5.09 FIP 27 SU 5.09 17.9%11.9%3.6%.336 4.52 17.5%8.0%124 -0.57 3.05 221 80
David Goforth R 2026 · 4.74 FIP 27 SU 4.74 14.5%12.8%2.3%.333 4.50 13.9%4.6%122 -0.24 3.92 256 80
Mike Adams R 2026 · 5.26 FIP 27 SU 5.26 17.1%11.2%4.0%.326 3.66 109 80
David Holman R 2026 · 5.25 FIP 27 SU 5.25 15.6%12.7%3.4%.324 5.21 9.6%0.5%107 -0.04 5.04 129 80
Chris Jefferson R 2026 · 5.37 FIP 27 SU 5.37 16.4%13.6%3.5%.308 3.74 140 80
Wirfin Obispo R 2029 · 4.87 FIP 30 SU 4.87 18.6%12.2%3.3%.292 1.30 28.6%24.5%126 -3.57 1.30 218 80
Confesor Lara R 2024 · 4.32 FIP 25 SU 4.32 16.4%11.0%2.2%.329 3.69 111 80

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 PROJECTION35518.2%11.5%1.204.92
Travis Wood ('17)38520.8%9.8%1.344.72
Roansy Contreras ('24)37719.5%10.1%1.364.78
Jorge De La Rosa ('18)49819.5%10.3%1.224.52
José Ruiz ('24)55222.2%10.4%1.414.41
Drew VerHagen ('23)64319.7%9.4%1.404.82
Adam Conley ('19)58319.7%9.5%1.174.82