Omari Daniel

P FCL Tigers

Age 23 RHP 6'1" / 185 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	21	ROKDET	18	24	4.44	3.26	26.7%	14.9%	—	K 18.2% · BB 18.6% · FIP 4.78
2026	22	ROKDET	19	19	9.95	7.63	18.4%	23.3%	—	K 12.5% · BB 29.1% · FIP 8.71
2027PROJ	23	MLBDET	11	12	6.00	6.00	20.0%	20.0%	-0.2
2028PROJ43% MLB	24	MLBDET	10	10	5.56	5.42	21.0%	16.8%	-0.1

Next 2 projected WAR -0.3Projected 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%

CompsJackson Rose (age 22) · Hudson Leach (age 22) · Christian Ruebeck (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 147139vR 131

ERA6.00

FIP6.00

K%20.0%

BB%20.0%

K-BB%-0.0%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 IP

Grades · Contract

Scouting Grades

K†4550

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	21	ROK MLE	FCL Tigers	18	0	24	101	27	15	1	0%	1.4	18.2%	18.6%	-0.4%	1.6%	4.44	4.78	—
2025	21	ROK MLE	FCL Tigers	18	0	24	101	27	15	1	0%	1.4	18.2%	18.6%	-0.4%	1.6%	4.44	4.78	—
2025	21	ROK RAW	FCL Tigers	18	0	24	101	27	15	1	0%	1.4	26.7%	14.9%	11.9%	1.0%	4.44	3.26	—
2026	22	ROK MLE	FCL Tigers	19	0	19	103	19	24	4	0%	1.0	12.5%	29.1%	-16.6%	5.4%	9.95	8.71	—
2026	22	ROK MLE	FCL Tigers	19	0	19	103	19	24	4	0%	1.0	12.5%	29.1%	-16.6%	5.4%	9.95	8.71	—
2026	22	ROK RAW	FCL Tigers	19	0	19	103	19	24	4	0%	1.0	18.4%	23.3%	-4.9%	3.9%	9.95	7.63	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	DET	11	0	12	51	10	10	2	0%	1.1	20.0%	20.0%	-0.0%	3.0%	6.00	6.00	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	DET	21	0	22	95	20	16	3	0%	1.1	21.0%	16.8%	4.2%	3.0%	5.63	5.49	-0.2
2028	24	MLB CTX	DET	10	0	10	42	9	7	1	0%	1.0	21.0%	16.8%	4.2%	2.9%	5.56	5.42	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	40	8	7	1	0%	1.1	21.0%	16.8%	4.2%	2.9%	5.56	5.04	-0.1
/ 200 IP	—	RAW		190	0	200	844	167	146	21	0%	1.1	21.0%	16.8%	4.2%	2.9%	5.56	5.04	-1.2
Career	—	MLE		37	0	43	204	31	49	7	0%	1.2	15.3%	23.9%	-8.6%	3.5%	6.85	6.77	-0.2
/ 200 IP	—	MLE		171	0	200	942	144	225	33	0%	1.2	15.3%	23.9%	-8.6%	3.5%	6.85	6.77	-2.2

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
Omari Daniel (OGILVIE)	—	—	6.00	20.0%	20.0%	3.0%	—	5.49	21.0%	4.2%	22	-0.51	—	—	—
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	91
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	90
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	90
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.56	176	90
Franklyn German R 2003 · 5.17 FIP	23	SU	5.17	18.5%	18.9%	2.2%	.313	5.27	13.1%	0.1%	86	+0.10	3.37	152	88
Roberto Espinosa R 2015 · 4.92 FIP	23	SU	4.92	18.9%	18.6%	1.9%	.273	4.43	14.8%	2.2%	77	-0.49	4.32	117	87
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	87
Zane Russell R 2024 · 4.95 FIP	24	SU	4.95	22.7%	18.3%	2.6%	.314	5.36	18.2%	6.7%	71	+0.41	4.63	108	86
Michael Blazek R 2013 · 5.52 FIP	24	SU	5.52	16.7%	15.5%	3.4%	.241	3.81	19.8%	10.3%	97	-1.71	2.99	238	85
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	85
James Acuna R 2021 · 5.12 FIP	23	SU	5.12	21.3%	17.0%	3.0%	.302	4.33	19.4%	4.6%	60	-0.79	4.33	107	85
Saul Teran R 2024 · 5.21 FIP	22	SU	5.21	22.4%	18.8%	2.9%	.279	4.40	20.1%	10.7%	84	-0.81	2.28	166	85
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	84
Fraimin Marte R 2024 · 5.46 FIP	23	SU	5.46	18.7%	18.4%	2.9%	.246	—	—	—	—	—	4.56	111	84
Andrew Baker R 2023 · 5.99 FIP	23	SU	5.99	24.7%	25.1%	3.3%	.315	3.70	25.5%	12.3%	164	-2.29	3.44	259	83
Matt Brill R 2018 · 4.90 FIP	23	SU	4.90	20.8%	16.3%	2.7%	.248	3.89	19.4%	4.9%	60	-1.01	3.73	161	83
Zach Barnes R 2022 · 5.35 FIP	23	SU	5.35	18.2%	22.0%	1.8%	.378	5.03	15.0%	1.5%	119	-0.32	4.90	145	83
Cody Scroggins R 2021 · 5.35 FIP	24	SU	5.35	17.4%	15.1%	3.3%	.263	4.28	18.6%	4.4%	59	-1.07	3.78	108	82
Alec Kenilvort R 2016 · 6.44 FIP	23	SU	6.44	15.1%	17.0%	4.5%	.333	3.97	18.3%	9.1%	85	-2.47	2.97	109	82
Yordy Cabrera R 2016 · 4.99 FIP	25	SU	4.99	15.8%	17.2%	1.9%	.321	4.17	13.7%	2.7%	140	-0.82	3.43	159	82