John Curtiss P Reno Aces
Age 33 RHP 6'5" / 220 lbs AAA
2026 ROS PROJECTION16 act + 6 ip · rates below = ROS only
showingROS
wRC+ AGAINSTvL 120112vR 104
ERA4.48
FIP4.58
K%17.0%
BB%4.9%
K-BB%12.1%
ROS IP6
Value2026 · WAR
Runs saved vs league avg · 21 IP
K: -0.6 runs (Runs saved by strikeouts vs lg-avg K%)-1KBB: +0.2 runs (Runs saved by walk suppression vs lg-avg BB%)+0BBCONTACT: -3.5 runs (Runs saved on contact quality (HR suppression) vs lg)-3CONTACTSTAM: +0.9 runs (Replacement credit for innings volume)+1STAMTotal WAR: -0.32 (21 IP)-0.3WAR
0.00.00.02628
Grades · Statcast · Arsenal · Contract
Scouting Grades
STUF4040
CTRL7070
CMD4545
K†4040
Statcast Percentiles
FB Velo
p4794.3
Whiff%
p1520.4%
K%
p1417.0%
xwOBA vs
p430.320
FB+8.0 (54%)
CH (7%)
CT-0.8 (30%)
SL-1.5 (9%)

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 industry-standard fWAR.

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 + 2026 so far)
201522MIX MLE2 levels2175424251141033%2.615.7%5.7%10.0%5.5%5.335.53
201522MIX RAW2 levels2175424251141033%2.621.1%5.8%15.3%4.1%5.334.40
201623MIX MLE2 levels44061251852400%1.423.6%11.4%12.2%0.0%2.662.55
201623MIX RAW2 levels44061251852400%1.433.9%9.6%24.3%0.0%2.661.49
201724MIX MLE3 levels48058232782420%1.229.6%12.2%17.4%0.0%2.332.15+1.7
201724MIX RAW3 levels48058232782420%1.233.6%10.3%23.3%0.9%2.332.10+1.7
201825MIX MLE2 levels46162270683332%1.322.4%13.1%9.2%1.6%3.063.73+0.6
201825MIX RAW2 levels46162270683332%1.325.2%12.2%13.0%1.1%3.063.13+1.0
201926MIX MLE2 levels23136174452394%1.623.9%13.0%10.9%7.1%7.506.60-0.8
201926MIX RAW2 levels23136174452394%1.625.9%13.2%12.6%5.2%7.505.77-0.5
202027MLB MLETampa Bay Rays1732599253318%1.525.3%3.0%22.2%3.1%1.803.06+0.4
202027MLB RAWTampa Bay Rays1732599253318%1.525.3%3.0%22.2%3.0%1.803.02+0.5
202128MIX MLE2 levels42345190461267%1.123.5%6.4%17.1%3.1%3.383.60+0.5
202128MIX RAW2 levels42345190461267%1.124.2%6.3%17.9%3.2%3.383.59+0.5
202330MIX MLE2 levels33041182371890%1.218.4%9.3%9.0%5.3%5.935.62-0.5
202330MIX MLE2 levels33041182371890%1.218.4%9.3%9.0%5.3%5.935.62-0.5
202330MIX RAW2 levels33041182371890%1.220.3%9.9%10.4%4.9%5.935.47-0.4
202431MIX MLE2 levels46052227421260%1.115.8%5.0%10.8%1.9%4.473.42+0.7
202431MIX MLE2 levels46052227421260%1.115.8%5.0%10.8%1.9%4.473.42+0.7
202431MIX RAW2 levels46052227421260%1.118.5%5.3%13.2%2.6%4.473.67+0.5
202532MIX MLE2 levels551692835214122%1.316.7%4.6%12.1%4.9%5.064.95-0.3
202532MIX MLE2 levels551692835214122%1.316.7%4.6%12.1%4.9%5.064.95-0.3
202532MIX RAW2 levels551692835214122%1.318.4%4.9%13.4%4.2%5.064.46+0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career124514560012836214%1.221.3%6.0%15.3%3.5%4.033.96+1.0
▸ 2026 season
YTD33AAA MLEReno Aces120166813640%1.315.9%7.9%7.9%6.5%4.026.32
YTD33AAA MLEReno Aces120166813640%1.315.9%7.9%7.9%6.5%4.026.32
▸ 2026 season — so far · projected rest · full
202633AAA RAWARI120166813640%1.319.1%8.8%10.3%5.9%4.025.83
ROS33MLB MLEARI506234110%1.117.0%4.9%12.1%3.5%4.484.58-0.0
2026 TOT33MLB MLEARI2191177518.6%7.8%10.8%5.3%4.145.86-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
202734MLB MLEARI570602524114100%1.016.1%5.4%10.7%3.8%4.724.88-0.2
202835MLB MLEARI51054227341490%1.115.2%6.0%9.2%4.1%5.025.21-0.4
202734MLB CTXARI303132100%1.016.1%5.4%10.7%3.8%4.724.88-0.0
202835MLB CTXARI10141000%1.015.2%6.0%9.2%4.1%5.025.21-0.0
▸ Career totals — MLB only (actual + projected)
Career RAW128515061813137224%1.221.2%6.0%15.2%3.5%4.054.00+1.0
/ 200 IP RAW171720082617549294%1.221.2%6.0%15.2%3.5%4.054.00+1.3
Career MLE387165192218465191714%1.321.0%8.6%12.4%3.2%4.114.17+0.4
/ 200 IP MLE149620085417973274%1.321.0%8.6%12.4%3.2%4.114.17+0.3

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player162sIP/yrK%BB%HR/9ERA
OGILVIE CAREER PROJECTION0.96016.2%5.4%1.464.72
Austin Pruitt ('23)1.56116.9%5.6%1.224.45
Joe Biagini ('19)1.68119.1%7.8%1.284.86
Paolo Espino ('22)1.28219.4%5.6%1.824.70
Jarlín García ('22)1.56119.6%7.8%1.333.79
Alex Young ('23)1.35219.5%8.6%1.614.43
Josh Winckowski ('24)1.27718.3%8.2%1.134.21