Eliseo Mota

P Lakeland Flying Tigers

Age 24 RHP 6'2" / 185 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	21	ROKDET	11	5	32	3.38	3.94	16.0%	13.9%	—	K 10.9% · BB 17.4% · FIP 4.94
2025	22	MIX2 levels	25	0	45	3.22	2.90	16.7%	9.6%	—	K 11.7% · BB 11.7% · FIP 3.59
2026	23	MIX2 levels	39	0	56	4.34	4.22	23.8%	13.9%	—	K 17.8% · BB 16.2% · FIP 5.30
2027PROJ	24	MLBDET	33	0	35	5.43	5.43	17.6%	14.4%	-0.3
2028PROJ43% MLB	25	MLBDET	21	0	22	5.18	5.09	19.1%	12.8%	-0.1
2029PROJ66% MLB	26	MLBDET	32	0	34	5.04	4.99	19.9%	12.5%	-0.2

Next 3 projected WAR -0.6Projected 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 99%

CompsHayden Snelsire (age 23) · Brett Lockwood (age 24) · Grayson Thurman (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 136128vR 120

ERA5.43

FIP5.43

K%17.6%

BB%14.4%

K-BB%3.2%

Proj IP35

Value2027 · WAR

Runs saved vs league avg · 35 IP

Grades · Contract

Scouting Grades

K†4045

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	19	ROK MLE	DSL Tigers 2	8	3	16	85	14	9	3	38%	2.0	11.2%	13.2%	-2.0%	5.3%	7.16	6.74	—
2022	19	ROK RAW	DSL Tigers 2	8	3	16	85	14	9	3	38%	2.0	16.5%	10.6%	5.9%	3.5%	7.16	5.43	—
2023	20	ROK MLE	DSL Tigers 2	11	11	44	184	37	12	1	100%	4.0	13.7%	8.2%	5.5%	0.8%	2.66	3.39	—
2023	20	ROK RAW	DSL Tigers 2	11	11	44	184	37	12	1	100%	4.0	20.1%	6.5%	13.6%	0.5%	2.66	2.53	—
2024	21	ROK MLE	FCL Tigers	11	5	32	144	23	20	1	45%	2.9	10.9%	17.4%	-6.5%	1.0%	3.38	4.94	—
2024	21	ROK MLE	FCL Tigers	11	5	32	144	23	20	1	45%	2.9	10.9%	17.4%	-6.5%	1.0%	3.38	4.94	—
2024	21	ROK RAW	FCL Tigers	11	5	32	144	23	20	1	45%	2.9	16.0%	13.9%	2.1%	0.7%	3.38	3.94	—
2025	22	MIX MLE	2 levels	25	0	45	198	33	19	0	0%	1.8	11.7%	11.7%	0.0%	0.0%	3.22	3.59	—
2025	22	MIX MLE	2 levels	25	0	45	198	33	19	0	0%	1.8	11.7%	11.7%	0.0%	0.0%	3.22	3.59	—
2025	22	MIX RAW	2 levels	25	0	45	198	33	19	0	0%	1.8	16.7%	9.6%	7.1%	0.0%	3.22	2.90	—
2026	23	MIX MLE	2 levels	39	0	56	252	60	35	6	0%	1.4	17.8%	16.2%	1.7%	3.0%	4.34	5.30	—
2026	23	MIX MLE	2 levels	39	0	56	252	60	35	6	0%	1.4	17.8%	16.2%	1.7%	3.0%	4.34	5.30	—
2026	23	MIX RAW	2 levels	39	0	56	252	60	35	6	0%	1.4	23.8%	13.9%	9.9%	2.4%	4.34	4.22	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	DET	33	0	35	148	26	21	4	0%	1.1	17.6%	14.4%	3.2%	2.9%	5.43	5.43	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	DET	49	0	51	215	41	28	6	0%	1.0	19.1%	12.8%	6.3%	2.9%	5.18	5.09	-0.3
2029	26	MLB MLE	DET	49	0	51	215	43	27	6	0%	1.0	19.9%	12.5%	7.4%	2.9%	5.04	4.99	-0.3
2028	25	MLB CTX	DET	21	0	22	93	18	12	3	0%	1.0	19.1%	12.8%	6.3%	2.9%	5.18	5.09	-0.1
2029	26	MLB CTX	DET	32	0	34	144	29	18	4	0%	1.1	19.9%	12.5%	7.4%	2.9%	5.04	4.99	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		53	0	56	235	46	30	7	0%	1.0	19.6%	12.6%	7.0%	2.9%	5.09	4.65	-0.1
/ 200 IP	—	RAW		190	0	200	844	165	108	25	0%	1.1	19.6%	12.6%	7.0%	2.9%	5.09	4.65	-0.2
Career	—	MLE		94	19	193	863	118	115	15	20%	2.1	13.7%	13.3%	0.4%	1.7%	3.78	4.58	-0.6
/ 200 IP	—	MLE		97	20	200	894	123	119	16	20%	2.1	13.7%	13.3%	0.4%	1.7%	3.78	4.58	-1.1

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
Eliseo Mota (OGILVIE)	—	—	5.43	17.6%	14.4%	2.9%	—	5.04	19.5%	6.9%	102	-0.39	—	—	—
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	89
Brett Lockwood R 2021 · 5.46 FIP	24	SU	5.46	16.2%	15.5%	3.2%	.312	4.58	11.0%	-6.3%	79	-0.88	4.24	132	86
Grayson Thurman R 2023 · 4.63 FIP	24	SU	4.63	19.5%	14.1%	2.5%	.319	4.85	19.9%	10.5%	87	+0.22	4.58	132	86
Julio Mateo R 2002 · 4.54 FIP	24	SU	4.54	16.0%	12.8%	2.1%	.277	4.23	17.5%	13.8%	232	-0.31	3.42	318	86
Marc Brakeman R 2018 · 4.67 FIP	24	SU	4.67	18.3%	13.7%	2.5%	.294	—	—	—	—	—	3.85	156	85
Francisco Del Rosario R 2006 · 5.13 FIP	25	SU	5.13	19.4%	13.0%	3.7%	.290	3.93	19.7%	10.3%	26	-1.20	3.93	194	85
Cole Hillier R 2024 · 4.64 FIP	23	SU	4.64	16.9%	14.7%	2.0%	.297	4.45	18.1%	4.5%	111	-0.19	3.80	169	85
Tanner Duncan R 2019 · 5.37 FIP	24	SU	5.37	17.5%	14.8%	3.4%	.301	—	—	—	—	—	3.28	123	85
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	85
Kevin Kopps R 2022 · 4.56 FIP	25	SU	4.56	20.2%	15.1%	2.3%	.278	4.40	16.3%	4.0%	182	-0.16	3.45	237	84
Josh Harlow R 2024 · 5.17 FIP	23	SU	5.17	18.5%	13.5%	3.5%	.266	5.73	17.1%	-4.2%	51	+0.56	5.17	107	84
David Trexler R 2015 · 4.62 FIP	24	SU	4.62	17.7%	13.4%	2.4%	.313	4.44	18.3%	4.8%	31	-0.18	4.44	100	84
Jake Johansen R 2015 · 5.34 FIP	24	SU	5.34	15.8%	12.8%	3.6%	.351	4.14	13.6%	3.0%	114	-1.20	3.65	162	84
Jarret Whorff R 2023 · 4.24 FIP	24	SW	4.24	19.5%	14.2%	1.8%	.287	4.34	19.4%	10.8%	193	+0.10	3.88	257	84
Dylan Spacke R 2022 · 5.24 FIP	24	SU	5.24	16.1%	13.9%	3.2%	.297	4.79	13.6%	0.2%	52	-0.45	2.08	205	84
Reece Karalus R 2018 · 4.73 FIP	24	SU	4.73	15.4%	11.9%	2.6%	.299	—	—	—	—	—	4.73	149	84
Hunter Parsons R 2021 · 5.38 FIP	24	SU	5.38	21.4%	15.3%	3.9%	.247	4.78	21.8%	10.2%	115	-0.60	4.73	183	83
Billy Seidl R 2024 · 4.53 FIP	24	SU	4.53	18.3%	14.2%	2.2%	.250	—	—	—	—	—	3.34	102	83
Juan Paniagua R 2015 · 4.69 FIP	25	SU	4.69	15.7%	11.9%	2.6%	.262	4.63	16.2%	1.8%	93	-0.06	4.57	151	83
Cayne Ueckert R 2019 · 4.26 FIP	23	SU	4.26	17.5%	14.9%	1.4%	.306	5.92	22.7%	5.0%	78	+1.66	3.95	205	83

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	0.7	46	19.0%	13.1%	1.14	5.19
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57