Antonio Florido

P Lakeland Flying Tigers

Age 22 RHP 6'1" / 175 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	ROKDSL Tigers 1	12	12	46	2.93	3.84	20.4%	17.0%	—	K 13.9% · BB 21.2% · FIP 4.96
2025	20	MIX2 levels	20	0	29	4.08	2.54	30.3%	12.3%	—	K 21.7% · BB 15.5% · FIP 4.00
2026	21	MIX2 levels	16	0	18	7.00	5.27	21.7%	23.9%	—	K 17.3% · BB 36.9% · FIP 7.42
2027PROJ	22	MLBDET	11	0	12	5.86	5.86	20.8%	20.0%	-0.2
2028PROJ49% MLB	23	MLBDET	12	0	13	5.48	5.34	21.8%	16.7%	-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 97%

CompsJordan Brink (age 23) · Michael Perez (age 21) · Will Varmette (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 144136vR 128

ERA5.86

FIP5.86

K%20.8%

BB%20.0%

K-BB%0.8%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 IP

Grades · Contract

Scouting Grades

K†5050

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)
2022	17	ROK MLE	DSL Tigers 1	13	6	21	112	14	18	3	46%	1.6	8.5%	20.1%	-11.6%	3.8%	9.00	6.99	—
2022	17	ROK RAW	DSL Tigers 1	13	6	21	112	14	18	3	46%	1.6	12.5%	16.1%	-3.6%	2.7%	9.00	6.20	—
2023	18	ROK MLE	DSL Tigers 2	6	2	9	45	6	7	2	33%	1.6	13.3%	15.6%	-2.2%	4.4%	8.68	6.38	—
2023	18	ROK RAW	DSL Tigers 2	6	2	9	45	6	7	2	33%	1.6	13.3%	15.6%	-2.2%	4.4%	8.68	6.85	—
2024	19	ROK MLE	DSL Tigers 1	12	12	46	206	42	35	1	100%	3.8	13.9%	21.2%	-7.4%	0.6%	2.93	4.96	—
2024	19	ROK MLE	DSL Tigers 1	12	12	46	206	42	35	1	100%	3.8	13.9%	21.2%	-7.4%	0.6%	2.93	4.96	—
2024	19	ROK RAW	DSL Tigers 1	12	12	46	206	42	35	1	100%	3.8	20.4%	17.0%	3.4%	0.5%	2.93	3.84	—
2025	20	MIX MLE	2 levels	20	0	29	122	37	15	1	0%	1.4	21.7%	15.5%	6.2%	1.4%	4.08	4.00	—
2025	20	MIX MLE	2 levels	20	0	29	122	37	15	1	0%	1.4	21.7%	15.5%	6.2%	1.4%	4.08	4.00	—
2025	20	MIX RAW	2 levels	20	0	29	122	37	15	1	0%	1.4	30.3%	12.3%	18.0%	0.8%	4.08	2.54	—
2026	21	MIX MLE	2 levels	16	0	18	92	20	22	1	0%	1.1	17.3%	36.9%	-19.5%	2.0%	7.00	7.42	—
2026	21	MIX MLE	2 levels	16	0	18	92	20	22	1	0%	1.1	17.3%	36.9%	-19.5%	2.0%	7.00	7.42	—
2026	21	MIX RAW	2 levels	16	0	18	92	20	22	1	0%	1.1	21.7%	23.9%	-2.2%	1.1%	7.00	5.27	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	DET	11	0	12	51	11	10	1	0%	1.1	20.8%	20.0%	0.8%	2.9%	5.86	5.86	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	DET	26	0	27	113	25	19	3	0%	1.0	21.8%	16.7%	5.1%	2.9%	5.48	5.34	-0.2
2028	23	MLB CTX	DET	12	0	13	55	12	9	2	0%	1.1	21.8%	16.7%	5.1%	2.9%	5.48	5.34	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	13	56	12	9	2	0%	1.0	21.8%	16.7%	5.1%	2.9%	5.48	4.96	-0.1
/ 200 IP	—	RAW		190	0	200	844	182	137	30	0%	1.1	21.8%	16.7%	5.1%	2.9%	5.48	4.96	-1.0
Career	—	MLE		67	20	123	577	86	126	11	30%	1.8	15.0%	21.8%	-6.9%	1.9%	5.27	5.66	-0.2
/ 200 IP	—	MLE		109	33	200	938	141	205	18	30%	1.8	15.0%	21.8%	-6.9%	1.9%	5.27	5.66	-1.8

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
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Antonio Florido (OGILVIE)	—	—	5.86	20.8%	20.0%	2.9%	—	5.34	21.8%	5.1%	27	-0.52	—	—	—
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	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	82
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	82
Keegan Collett R 2019 · 5.05 FIP	21	SW	5.05	21.9%	24.6%	1.2%	.321	4.68	29.1%	9.0%	84	-0.37	3.93	184	81
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	81
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	80
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	79
Fabian Anguamea R 2016 · 5.11 FIP	22	SU	5.11	16.6%	15.2%	2.7%	.295	4.53	15.8%	1.8%	96	-0.58	3.99	164	79
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	79
Jake Eddington R 2024 · 5.02 FIP	23	SW	5.02	18.8%	24.1%	0.8%	.316	4.83	16.6%	-1.5%	105	-0.19	4.70	135	79
Hansel Rosario R 2024 · 5.54 FIP	21	SW	5.54	19.2%	22.2%	2.3%	.306	7.16	16.3%	-21.0%	19	+1.62	5.25	107	78
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	78
Audry Lugo R 2021 · 4.82 FIP	22	SU	4.82	17.6%	15.8%	2.2%	.333	5.76	13.7%	-2.6%	39	+0.94	4.05	113	78
Carlos Contreras R 2014 · 4.77 FIP	23	SU	4.77	20.2%	18.1%	2.0%	.304	4.35	18.4%	5.0%	107	-0.42	4.29	127	78
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	78
Joey Matulovich R 2019 · 5.52 FIP	22	SW	5.52	19.8%	14.6%	4.1%	.378	5.04	20.5%	8.9%	133	-0.48	3.22	201	78
Conor Grady R 2021 · 5.28 FIP	22	SU	5.28	17.2%	19.0%	2.2%	.242	4.62	16.9%	5.1%	96	-0.66	4.62	108	78
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	78
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	78
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	77