Cesar Cerezo

P DSL Blue Jays Red

Age 19 LHP 6'3" / 199 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL Blue Jays…	11	13	3.55	3.42	27.3%	12.7%	—	K 18.5% · BB 15.9% · FIP 5.22
2026	18	ROKDSL Blue Jays…	2	4	0.00	3.92	0.0%	6.2%	—	K 0.0% · BB 6.2% · FIP 3.89
2027PROJ	19	MLBTOR	8	8	4.67	4.67	22.9%	11.7%	-0.0
2028PROJ49% MLB	20	MLBTOR	10	10	4.54	4.47	23.4%	10.7%	0.0

Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsDenny Bentley (age 20) · Gregori Louis (age 19) · Yokelvin Reyes (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 106114vR 122

ERA4.67

FIP4.67

K%22.9%

BB%11.7%

K-BB%11.3%

Proj IP8

Value2027 · WAR

Runs saved vs league avg · 8 IP

Grades · Contract

Scouting Grades

K†5555

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.

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 industry-standard fWAR.

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)
2025	17	ROK MLE	DSL Blue Jays Blue	11	0	13	55	15	7	1	0%	1.2	18.5%	15.9%	2.6%	3.0%	3.55	5.22	—
2025	17	ROK MLE	DSL Blue Jays Blue	11	0	13	55	15	7	1	0%	1.2	18.5%	15.9%	2.6%	3.0%	3.55	5.22	—
2025	17	ROK RAW	DSL Blue Jays Blue	11	0	13	55	15	7	1	0%	1.2	27.3%	12.7%	14.5%	1.8%	3.55	3.42	—
2026	18	ROK MLE	DSL Blue Jays Red	2	0	4	16	0	1	0	0%	1.8	0.0%	6.2%	-6.2%	0.0%	0.00	3.89	—
2026	18	ROK MLE	DSL Blue Jays Red	2	0	4	16	0	1	0	0%	1.8	0.0%	6.2%	-6.2%	0.0%	0.00	3.89	—
2026	18	ROK RAW	DSL Blue Jays Red	2	0	4	16	0	1	0	0%	1.8	0.0%	6.2%	-6.2%	0.0%	0.00	3.92	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	TOR	8	0	8	34	8	4	1	0%	1.0	22.9%	11.7%	11.3%	3.0%	4.67	4.67	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	TOR	19	0	20	84	20	9	2	0%	1.1	23.4%	10.7%	12.7%	2.9%	4.54	4.47	+0.0
2028	20	MLB CTX	TOR	10	0	10	42	10	5	1	0%	1.0	23.4%	10.7%	12.7%	2.9%	4.54	4.47	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	10	4	1	0%	1.1	23.4%	10.7%	12.7%	2.9%	4.54	4.09	+0.1
/ 200 IP	—	RAW		190	0	200	844	203	81	20	0%	1.1	23.4%	10.7%	12.7%	2.9%	4.54	4.09	+1.1
Career	—	MLE		13	0	16	71	10	10	2	0%	1.3	14.4%	13.7%	0.6%	2.4%	2.76	4.92	+0.0
/ 200 IP	—	MLE		159	0	200	869	125	119	21	0%	1.3	14.4%	13.7%	0.6%	2.4%	2.76	4.92	+0.2

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 Cerezo (OGILVIE)	—	—	4.67	22.9%	11.7%	3.0%	—	4.47	23.4%	12.7%	20	-0.20	—	—	—
Denny Bentley L 2018 · 4.85 FIP	20	SU	4.85	19.6%	10.3%	3.8%	.318	2.88	25.4%	10.3%	58	-1.97	2.88	175	87
Gregori Louis L 2022 · 5.03 FIP	19	SU	5.03	25.4%	13.1%	4.4%	.364	4.96	19.1%	2.9%	89	-0.07	3.58	149	84
Yokelvin Reyes L 2023 · 3.94 FIP	19	SU	3.94	20.1%	12.8%	1.7%	.293	4.48	16.0%	4.1%	166	+0.54	3.50	221	82
Fabian Blanco L 2017 · 4.28 FIP	19	SU	4.28	18.8%	9.9%	2.8%	.368	4.05	16.9%	1.3%	74	-0.23	3.57	215	80
Anfernny Reyes L 2023 · 4.98 FIP	19	SU	4.98	21.6%	13.6%	3.6%	.282	4.34	21.0%	1.8%	99	-0.64	2.89	175	80
Connor Curlis L 2018 · 3.49 FIP	21	SU	3.49	19.3%	10.8%	1.2%	.306	6.08	16.6%	4.6%	172	+2.59	3.49	309	79
Keylan Killgore L 2019 · 4.23 FIP	22	SU	4.23	20.7%	12.7%	2.3%	.307	—	—	—	—	—	3.73	161	78
Nick Dombkowski L 2021 · 4.48 FIP	22	SU	4.48	21.3%	8.8%	3.7%	.208	4.71	16.7%	7.7%	223	+0.23	3.71	425	77
Ronnie Glenn L 2015 · 3.47 FIP	22	SU	3.47	20.9%	9.9%	1.6%	.330	5.00	11.1%	-2.6%	171	+1.53	3.47	212	77
Daniel Juarez L 2019 · 4.45 FIP	18	SU	4.45	24.9%	14.7%	2.9%	.389	4.24	26.5%	9.0%	68	-0.21	3.68	221	77
Jonathan Hennigan L 2017 · 4.08 FIP	22	SU	4.08	22.0%	13.6%	2.0%	.341	3.57	17.5%	5.8%	119	-0.51	3.46	265	77
Gabriel Moya L 2015 · 3.90 FIP	20	SU	3.90	26.6%	10.9%	3.0%	.283	2.71	26.4%	18.8%	201	-1.19	1.95	270	76
Vance Tatum L 2016 · 5.04 FIP	21	SU	5.04	17.2%	9.7%	3.9%	.319	5.06	15.6%	2.3%	85	+0.02	4.90	116	76
Harry Gustin L 2024 · 3.91 FIP	22	SU	3.91	20.7%	11.0%	2.1%	.331	4.33	22.9%	12.7%	109	+0.42	3.70	152	76
Zach Morris L 2015 · 3.59 FIP	22	SU	3.59	18.5%	10.1%	1.4%	.286	4.38	13.9%	2.4%	84	+0.79	3.34	109	76
Evan Sisk L 2018 · 3.51 FIP	21	SU	3.51	19.5%	11.3%	1.1%	.293	4.00	18.4%	5.5%	114	+0.49	1.83	447	76
Evan Taylor L 2022 · 4.31 FIP	22	SU	4.31	28.1%	16.5%	2.7%	.304	3.19	21.9%	10.0%	150	-1.12	3.09	225	75
Garvin Alston L 2019 · 4.29 FIP	22	SU	4.29	19.7%	6.6%	3.7%	.333	4.74	16.4%	2.9%	84	+0.45	3.98	232	75
Drew Harrington L 2016 · 4.18 FIP	21	SU	4.18	15.7%	9.6%	2.1%	.295	4.14	12.5%	5.4%	175	-0.04	3.17	190	74
James Ziemba L 2017 · 3.73 FIP	22	SU	3.73	18.3%	12.5%	1.1%	.309	5.16	11.7%	-0.7%	78	+1.43	3.73	110	74