Cesar Perdomo

P Richmond Flying Squirrels

Age 25 LHP 5'10" / 219 lbs AA Svc 0.0 · Ctrl thru 2032 peak 0.9 · 2028

Overview

AASP40-MANROOKIEPre-ArbFA 2033

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	MIX2 levels	26	14	97	2.78	2.69	25.2%	8.4%	—	K 19.0% · BB 9.7% · FIP 3.54
2025	23	A+SF	26	26	127	3.96	3.47	21.9%	7.1%	—	K 16.9% · BB 8.1% · FIP 4.39
2026	24	MIX3 levels	29	26	145	4.29	3.81	22.7%	8.0%	2.8	K 19.1% · BB 8.0% · FIP 4.34
2027PROJ	25	MLBSF	11	11	64	4.58	4.79	17.0%	7.9%	0.4
2028PROJ82% MLB	26	MLBSF	14	14	87	4.48	4.54	18.2%	7.8%	0.7
2029PROJ87% MLB	27	MLBSF	14	14	83	4.50	4.54	18.5%	7.9%	0.7

Last 3 seasons WAR 2.8 · Next 3 projected WAR 1.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2032Service0.140First FA2033

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Arb-1$2M2031Arb-2$3M2032Arb-3$3M

Skills · percentileStatcast 2026

xwOBA vs39

FB Velo29

K%10

Form3.65 ERA (proj 4.58) · K 13.5% (proj 17.0%) · BB 6.7% (proj 7.9%) · last 60d · 25 IP through Oct 27

Career WAR0.0 WAR median (P10 -0.6 / P90 6.3, comp-based) · star 0% · didn't stick 84%

CompsJ.C. Romero (age 25) · John Koronka (age 25) · Jordan Carr (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 108116vR 124

ERA4.58

FIP4.79

K%17.0%

BB%7.9%

K-BB%9.1%

Proj IP90

Value2027 · WAR

Runs saved vs league avg · 90 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$15M ctrl surplus

Statcast · Contract

Statcast Percentiles

FB Velo

p2993.0

Whiff%

p1219.9%

p1013.5%

xwOBA vs

p390.324

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb

MLB Debut 2026

Service 0.140 yrs.days

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.4	$2M	+$0.9M
2028	Pre-Arb	$0.8M	+0.7	$3M	+$2M
2029	Pre-Arb	$0.8M	+0.7	$2M	+$2M
2030	Arb-1	$2M	+0.6	$2M	+$0.4M
2031	Arb-2	$3M	+0.4	$1M	+$0.0M (cut)
2032	Arb-3	$3M	+0.2	$0.5M	+$0.0M (cut)
Totals		$4M		$10M	+$5M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis 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.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	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)
2022	20	ROK MLE	DSL Giants Orange	4	3	15	54	18	3	0	75%	3.8	22.7%	6.9%	15.7%	0.0%	0.60	2.07	—
2022	20	ROK RAW	DSL Giants Orange	4	3	15	54	18	3	0	75%	3.8	33.3%	5.6%	27.8%	0.0%	0.60	1.30	—
2023	21	ROK MLE	ACL Giants Black	15	5	60	278	53	19	4	33%	4.0	13.0%	8.5%	4.4%	2.0%	5.55	4.16	—
2023	21	ROK RAW	ACL Giants Black	15	5	60	278	53	19	4	33%	4.0	19.1%	6.8%	12.2%	1.4%	5.55	3.15	—
2024	22	MIX MLE	2 levels	26	14	97	417	105	35	5	54%	3.7	19.0%	9.7%	9.3%	1.5%	2.78	3.54	—
2024	22	MIX MLE	2 levels	26	14	97	417	105	35	5	54%	3.7	19.0%	9.7%	9.3%	1.5%	2.78	3.54	—
2024	22	MIX RAW	2 levels	26	14	97	417	105	35	5	54%	3.7	25.2%	8.4%	16.8%	1.2%	2.78	2.69	—
2025	23	A+ MLE	Eugene Emeralds	26	26	127	538	118	38	13	100%	4.9	16.9%	8.1%	8.8%	3.1%	3.96	4.39	—
2025	23	A+ MLE	Eugene Emeralds	26	26	127	538	118	38	13	100%	4.9	16.9%	8.1%	8.8%	3.1%	3.96	4.39	—
2025	23	A+ RAW	Eugene Emeralds	26	26	127	538	118	38	13	100%	4.9	21.9%	7.1%	14.9%	2.4%	3.96	3.47	—
2026	24	MIX MLE	3 levels	29	26	145	613	139	49	18	90%	5.0	19.1%	8.0%	11.1%	3.3%	4.29	4.34	+1.8
2026	24	MIX MLE	3 levels	29	26	145	613	139	49	18	90%	5.0	19.1%	8.0%	11.1%	3.3%	4.29	4.34	+1.8
2026	24	MIX RAW	3 levels	29	26	145	613	139	49	18	90%	5.0	22.7%	8.0%	14.7%	2.9%	4.29	3.81	+2.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			5	4	25	104	14	7	4	80%	4.9	13.5%	6.7%	6.7%	3.8%	3.65	4.92	+0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	SF	11	11	64	270	46	21	9	100%	5.8	17.0%	7.9%	9.1%	3.2%	4.58	4.79	+0.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	SF	18	18	106	448	82	35	14	100%	5.9	18.2%	7.8%	10.4%	3.2%	4.61	4.67	+0.9
2029	27	MLB MLE	SF	16	16	96	404	75	32	13	100%	6.0	18.5%	7.9%	10.6%	3.2%	4.63	4.67	+0.8
2030	28	MLB MLE	SF	15	15	89	376	70	30	12	100%	5.9	18.6%	8.0%	10.5%	3.3%	4.69	4.73	+0.7
2031	29	MLB MLE	SF	14	14	82	344	62	28	12	100%	5.8	18.1%	8.2%	9.8%	3.4%	4.80	4.88	+0.5
2032	30	MLB MLE	SF	12	12	73	308	53	26	11	100%	6.1	17.3%	8.5%	8.8%	3.6%	4.97	5.09	+0.3
2028	26	MLB CTX	SF	14	14	87	367	67	29	11	100%	6.2	18.2%	7.8%	10.4%	2.9%	4.48	4.54	+0.7
2029	27	MLB CTX	SF	14	14	83	350	65	28	10	100%	5.9	18.5%	7.9%	10.6%	3.0%	4.50	4.54	+0.7
2030	28	MLB CTX	SF	13	13	80	338	63	27	10	100%	6.2	18.6%	8.0%	10.5%	3.0%	4.55	4.59	+0.6
2031	29	MLB CTX	SF	12	12	75	317	57	26	10	100%	6.2	18.1%	8.2%	9.8%	3.2%	4.66	4.74	+0.4
2032	30	MLB CTX	SF	11	11	68	287	50	25	10	100%	6.2	17.3%	8.5%	8.8%	3.4%	4.82	4.94	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		71	70	418	1764	315	141	55	99%	5.9	17.9%	8.0%	9.9%	3.1%	4.54	4.32	+5.3
/ 200 IP	—	RAW		34	33	200	844	151	68	26	99%	5.9	17.9%	8.0%	9.9%	3.1%	4.54	4.32	+2.5
Career	—	MLE		100	74	444	1900	336	161	49	74%	4.4	17.7%	8.5%	9.2%	2.6%	3.91	4.09	+3.3
/ 200 IP	—	MLE		45	33	200	856	151	73	22	74%	4.4	17.7%	8.5%	9.2%	2.6%	3.91	4.09	+1.4

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.

2026 AARichmond Flying Squirrels · 72 IPFIP 2.99 → 3.86 (+0.87)K% 30.1% → 24.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.07%	—	×0.810	24.35%
BB% (unintentional) /BF	7.43%	—	×1.100	8.18%
HR / BF /BF	2.70%	÷1.000	×1.200	3.24%

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 100).

Result: FIP 2.99 → 3.86, 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).

2026 AAASacramento River Cats · 48 IPFIP 4.41 → 4.64 (+0.24)K% 16.9% → 14.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.90%	—	×0.860	14.54%
BB% (unintentional) /BF	9.39%	—	×0.900	8.45%
HR / BF /BF	2.82%	÷1.000	×1.100	3.10%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, 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 100).

Result: FIP 4.41 → 4.64, 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).

2025 A+Eugene Emeralds · 127 IPFIP 3.47 → 4.39 (+0.92)K% 21.9% → 16.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.93%	—	×0.770	16.89%
BB% (unintentional) /BF	7.06%	—	×1.150	8.12%
HR / BF /BF	2.42%	÷0.980	×1.250	3.08%

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 96).

Result: FIP 3.47 → 4.39, 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).

2024 A+Eugene Emeralds · 54 IPFIP 3.57 → 4.47 (+0.90)K% 22.7% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.73%	—	×0.770	17.50%
BB% (unintentional) /BF	9.92%	—	×1.150	11.40%
HR / BF /BF	2.07%	÷1.010	×1.250	2.56%

Result: FIP 3.57 → 4.47, 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).

2024 ASan Jose Giants · 43 IPFIP 1.48 → 2.25 (+0.77)K% 28.6% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.57%	—	×0.740	21.14%
BB% (unintentional) /BF	6.29%	—	×1.180	7.42%
HR / BF /BF	0.00%	÷0.959	×1.300	0.00%

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 92).

Result: FIP 1.48 → 2.25, 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).

2023 ROKACL Giants Black · 60 IPFIP 3.15 → 4.16 (+1.01)K% 19.1% → 13.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.06%	—	×0.680	12.96%
BB% (unintentional) /BF	6.83%	—	×1.250	8.54%
HR / BF /BF	1.44%	÷1.031	×1.400	1.95%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 106).

Result: FIP 3.15 → 4.16, 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).

2022 ROKDSL Giants Orange · 15 IPFIP 0.99 → 2.07 (+1.08)K% 33.3% → 22.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.33%	—	×0.680	22.67%
BB% (unintentional) /BF	5.56%	—	×1.250	6.94%
HR / BF /BF	0.00%	÷0.973	×1.400	0.00%

Result: FIP 0.99 → 2.07, 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 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
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Cesar Perdomo (OGILVIE)	—	—	—	—	—	3.2%	—	4.69	18.4%	10.5%	291	-0.10	—	—	—
J.C. Romero L 2001 · 4.89 FIP	25	SP-	4.89	13.6%	8.0%	3.5%	.285	3.46	20.7%	10.3%	218	-1.43	2.88	652	81
John Koronka L 2005 · 4.77 FIP	25	SP-	4.77	13.2%	10.5%	2.6%	.304	4.81	10.5%	2.2%	135	+0.04	3.99	151	80
Jordan Carr L 2022 · 3.86 FIP	25	SP-	3.86	12.5%	5.2%	2.1%	.304	4.01	14.9%	6.2%	162	+0.15	3.49	269	79
Cory Luebke L 2010 · 4.21 FIP	25	SP-	4.21	23.7%	7.9%	3.9%	.286	2.84	25.9%	18.7%	171	-1.37	2.80	216	78
John Gast L 2013 · 4.15 FIP	24	SP	4.15	15.4%	9.6%	2.1%	.263	3.96	14.1%	6.2%	122	-0.19	3.96	134	77
Miguel Cienfuegos L 2023 · 5.12 FIP	26	SP	5.12	13.6%	10.5%	3.4%	.257	4.54	14.3%	5.8%	242	-0.58	2.95	313	75
Logan Darnell L 2014 · 4.78 FIP	25	SP-	4.78	19.6%	7.1%	4.4%	.338	4.10	13.4%	6.1%	262	-0.68	3.16	454	75
Pedro Hernandez L 2013 · 5.31 FIP	24	SP	5.31	11.0%	8.4%	3.8%	.347	4.09	13.1%	4.2%	68	-1.22	4.09	124	75
Matt Portland L 2018 · 4.64 FIP	24	SP-	4.64	17.4%	11.0%	2.9%	.364	—	—	—	—	—	3.61	143	74
Jake McSteen L 2021 · 5.05 FIP	25	SP-	5.05	16.8%	7.3%	4.5%	.322	5.18	19.2%	12.5%	172	+0.13	2.22	286	74
Kyle Twomey L 2017 · 3.96 FIP	23	SP	3.96	14.8%	7.9%	2.0%	.353	—	—	—	—	—	3.96	141	74
Eric DuBose L 2003 · 3.92 FIP	27	SP-	3.92	14.4%	7.5%	2.0%	.233	5.49	13.7%	0.4%	104	+1.57	3.92	178	73
Brandon Claussen L 2004 · 4.80 FIP	25	SP	4.80	14.4%	10.5%	2.9%	.314	4.56	16.5%	9.2%	244	-0.24	4.41	310	73
Austin Emener L 2024 · 4.86 FIP	22	SP	4.86	19.4%	9.3%	4.1%	.306	5.38	21.4%	5.6%	63	+0.52	4.86	123	73
Brian Holmes L 2016 · 3.60 FIP	25	SP-	3.60	19.1%	6.6%	2.3%	.313	5.91	15.5%	3.8%	53	+2.31	3.60	205	73
Matt Walker L 2023 · 4.73 FIP	25	SP-	4.73	12.7%	10.0%	2.6%	.333	—	—	—	—	—	4.21	156	73
Grant Watson L 2017 · 4.70 FIP	24	SP-	4.70	16.4%	10.3%	3.0%	.344	—	—	—	—	—	2.59	180	73
Joe Saunders L 2006 · 3.94 FIP	25	SP	3.94	16.9%	9.3%	2.0%	.300	4.48	13.1%	6.1%	491	+0.54	3.86	1,378	72
David Purcey L 2008 · 4.39 FIP	26	SP	4.39	20.1%	10.0%	3.1%	.301	4.39	17.9%	5.0%	116	-0.00	3.60	206	72
Brian Tallet L 2003 · 4.65 FIP	25	SP-	4.65	10.3%	9.2%	2.3%	.309	4.43	16.2%	4.4%	54	-0.22	2.59	443	72

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	2.8	80	17.8%	8.0%	1.29	4.65
Randy O'Neal ('84-'90, 1 WAR*)	2.2	73	17.4%*	7.8%*	1.21*	4.65*
Ross Ohlendorf ('16)	2.9	84	17.2%	8.6%	1.38	4.82
Chad Bettis ('19)	3.0	86	16.2%	7.9%	1.18	5.12
Bob Sadowski ('63-'66, 2 WAR*)	2.2	110	17.7%*	8.0%*	1.20*	4.73*
Alfredo Simon ('16)	3.9	111	15.7%	8.0%	1.22	4.56
John Martin ('80-'83, 1 WAR*)	1.5	73	14.5%*	8.1%*	1.37*	4.61*