Tyler Ferguson P Iowa Cubs
Age 32 RHP 6'4" / 225 lbs AAA peak 0.3 · 2026
2026 ROS PROJECTION40 act + 56 ip · rates below = ROS only
wRC+ AGAINSTvL 10899vR 90
ERA3.99
FIP4.14
K%22.7%
BB%13.1%
K-BB%9.6%
ROS IP56
Value2026 · WAR
Runs saved vs league avg · 96 IP
K: -0.6 runs (Runs saved by strikeouts vs lg-avg K%)-1KBB: -1.9 runs (Runs saved by walk suppression vs lg-avg BB%)-2BBCONTACT: +0.4 runs (Runs saved on contact quality (HR suppression) vs lg)+0CONTACTSTAM: +12.1 runs (Replacement credit for innings volume)+12STAMTotal WAR: +1.05 (96 IP)+1.0WAR
0.4-0.1-0.32628
Grades · Statcast · Arsenal · Contract
Scouting Grades
STUF5050
CTRL3030
CMD4545
K†6060
Statcast Percentiles
FB Velo
p5294.7
Whiff%
p5526.0%
K%
p4922.0%
xwOBA vs
p610.301
FB+2.3 (53%)
CT+1.2 (11%)
SL+0.9 (32%)
SI (15%)
CH (4%)

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
201521ROKAZL Rangers505285900%0.917.9%32.1%-14.3%0.0%13.505.66
201521ROKAZL Rangers505285900%0.917.9%32.1%-14.3%0.0%13.506.74
201622AHickory Crawdads1001366101810%1.311.2%32.2%-21.0%1.6%8.787.13
201622AHickory Crawdads1001366101810%1.315.2%27.3%-12.1%1.5%8.786.62
201723MIX2 levels36048232572490%1.318.6%12.0%6.6%4.9%6.615.74
201723MIX2 levels36048232572490%1.324.6%10.3%14.2%3.9%6.614.67
201824MIX2 levels1401775141200%1.213.4%19.7%-6.3%0.0%4.764.46
201824MIX2 levels1401775141200%1.218.7%16.0%2.7%0.0%4.763.57
202127MIX2 levels22032133331220%1.519.8%9.1%10.7%3.4%2.234.44
202127MIX2 levels22032133331220%1.524.8%9.0%15.8%1.5%2.232.98
202228MIX2 levels52051241643910%1.022.1%17.3%4.8%0.6%4.803.75
202228MIX2 levels52051241643910%1.026.6%16.2%10.4%0.4%4.803.14
202329AAAReno Aces51379370865866%1.520.5%16.5%4.0%1.7%5.494.41
202329AAAReno Aces51379370865866%1.523.2%15.7%7.6%1.6%5.494.12
202430MIX2 levels740803371053340%1.129.6%10.0%19.7%1.2%3.622.54+2.3
202430MIX2 levels740803371053340%1.131.2%9.8%21.4%1.2%3.622.36+2.4
202531MIX2 levels65068286653540%1.022.0%13.0%8.9%1.7%4.103.83+0.7
202531MIX2 levels65068286653540%1.022.7%12.2%10.5%1.4%4.103.50+1.0
▸ 2026 Season
202632MLBChicago Cubs35040176341690%1.214.1%12.6%1.5%2.2%6.474.71-0.1
ROS32MLBOAK53056234533160%1.022.7%13.1%9.6%2.4%3.994.14+0.3
ROS32MLBOAK53056236543160%1.122.7%13.1%9.6%2.4%3.994.14+0.3
2026 TOT32MLBOAK9641087471521.2%11.4%9.9%3.5%5.034.38+1.0
2026 FULL32MLBOAK6628187471531.1%16.6%14.4%5.2%7.265.43-0.6
▸ 2027+ Projections   WITH CONTEXT · MLB TIME ONLY ⓘ
202733MLBOAK58061258633190%1.124.3%12.0%12.3%3.5%4.714.88-0.2
202834MLBOAK53056234552990%1.023.4%12.5%10.9%3.8%4.995.18-0.4
202733MLBOAK55058245602990%1.124.3%12.0%12.3%3.5%4.714.88-0.2
202834MLBOAK48050211492680%1.023.4%12.5%10.9%3.8%4.995.18-0.4
▸ Career (MLB actual + context projections)
Career27102841194292140360%1.024.5%11.8%12.7%3.0%4.624.19+4.0
/ 200 IP191020084120699250%1.024.5%11.8%12.7%3.0%4.624.19+2.8
Career36434321944408280381%1.221.0%14.4%6.6%1.9%4.984.22+6.0
/ 200 IP1681200899189130171%1.221.0%14.4%6.6%1.9%4.984.22+2.8

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 Ferguson (OGILVIE) 4.37 24.7%13.2%2.4% 5.02 23.9%11.7%116 +0.65
Hirokazu Sawamura R 2027 · 4.40 FIP 33 SU 4.40 26.2%11.2%3.8%.263 3.99 18.1%6.8%51 -0.41 3.99 104 85
Ryan Cook R 2025 · 4.04 FIP 31 SU 4.04 25.1%10.8%3.1%.280 4.04 102 82
Mike Broadway R 2025 · 4.56 FIP 31 SU 4.56 23.0%10.6%3.7%.282 1.74 195 81
Santiago Casilla R 2029 · 3.51 FIP 35 SU 3.51 25.4%8.6%2.7%.290 3.93 22.4%12.7%161 +0.42 3.51 219 79
Fernando Nieve R 2027 · 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 79
Joakim Soria R 2026 · 4.31 FIP 32 SU 4.31 23.2%9.2%3.6%.319 2.62 28.5%21.7%186 -1.69 2.01 380 78
Blake Wood R 2025 · 3.52 FIP 31 SU 3.52 25.3%9.3%2.5%.364 3.05 210 78
Jumbo Diaz R 2026 · 3.89 FIP 32 SU 3.89 22.3%9.2%2.8%.247 3.30 23.0%13.8%141 -0.59 2.82 284 77
Clayton Mortensen R 2026 · 4.62 FIP 32 SU 4.62 23.2%14.2%3.1%.258 4.23 221 77
Jonathan Broxton R 2026 · 3.66 FIP 32 SU 3.66 22.0%7.3%2.7%.256 4.24 20.5%9.0%16 +0.58 3.57 137 76
Carlos Fisher R 2026 · 3.44 FIP 32 SU 3.44 22.6%11.6%1.4%.236 3.25 22.5%11.1%91 -0.19 2.56 147 76
Jose Manuel Lopez R 2026 · 3.77 FIP 32 SU 3.77 20.4%10.0%2.1%.331 5.83 17.9%3.7%41 +2.06 3.37 170 76
Jon Edwards R 2025 · 4.46 FIP 31 SU 4.46 25.1%11.6%3.7%.290 2.30 132 76
David Phelps R 2026 · 4.23 FIP 32 SU 4.23 24.5%10.9%3.3%.289 3.49 26.7%16.6%84 -0.74 2.51 373 75
Ross Ohlendorf R 2026 · 3.26 FIP 32 SU 3.26 23.7%7.2%2.3%.342 4.99 23.4%12.7%66 +1.73 3.26 122 75
Danny Farquhar R 2024 · 3.57 FIP 30 SU 3.57 22.3%11.0%1.7%.247 3.57 224 74
Dan Winkler R 2026 · 3.63 FIP 32 SU 3.63 24.4%14.0%1.5%.281 2.40 231 74
James Hoyt R 2026 · 3.47 FIP 32 SU 3.47 22.2%9.9%1.8%.355 5.93 22.1%10.4%50 +2.46 1.60 312 73
Chris Hatcher R 2026 · 4.20 FIP 32 SU 4.20 24.5%7.4%4.1%.291 5.21 18.0%8.4%36 +1.01 3.05 176 73
Brad Brach R 2026 · 3.44 FIP 32 SU 3.44 20.8%9.0%1.7%.338 4.07 24.4%11.0%97 +0.63 2.73 410 73

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 PROJECTION36124.2%12.6%1.244.62
Fernando Rodney ('19)55924.6%11.8%0.884.21
Lucas Sims ('24)64727.6%11.6%1.244.22
Michael Kopech ('24)49626.1%12.5%1.454.15
José Ruiz ('24)55222.2%10.4%1.414.41
Amir Garrett ('23)65125.8%13.4%1.505.10
Keegan Thompson ('24)45723.0%11.3%1.193.64