Miguel Alfonseca

Miguel Alfonseca P St. Lucie Mets

Age 26 RHP 6'0" / 190 lbs A

2026 ROS PROJECTION0 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 136128vR 120

ERA5.42

FIP5.42

K%18.0%

BB%14.1%

K-BB%3.9%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 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 + 2026 so far)
2019	19	ROK MLE	DSL Mets 2	4	4	9	46	5	14	0	100%	2.3	10.9%	30.4%	-19.6%	0.0%	11.57	6.04	—
2019	19	ROK RAW	DSL Mets 2	4	4	9	46	5	14	0	100%	2.3	10.9%	30.4%	-19.6%	0.0%	11.57	6.53	—
2021	21	ROK MLE	FCL Mets	14	7	31	145	39	14	2	50%	2.2	18.3%	12.1%	6.2%	2.0%	5.52	4.19	—
2021	21	ROK RAW	FCL Mets	14	7	31	145	39	14	2	50%	2.2	26.9%	9.7%	17.2%	1.4%	5.52	2.78	—
2022	22	MIX MLE	2 levels	26	1	44	205	51	25	3	4%	1.7	20.1%	16.4%	3.7%	2.4%	4.67	4.78	—
2022	22	MIX RAW	2 levels	26	1	44	205	51	25	3	4%	1.7	24.9%	12.2%	12.7%	1.5%	4.67	3.37	—
2023	23	MIX MLE	2 levels	23	0	33	163	26	17	4	0%	1.4	13.4%	12.8%	0.6%	1.5%	7.56	4.40	—
2023	23	MIX MLE	2 levels	23	0	33	163	26	17	4	0%	1.4	13.4%	12.8%	0.6%	1.5%	7.56	4.40	—
2023	23	MIX RAW	2 levels	23	0	33	163	26	17	4	0%	1.4	16.0%	10.4%	5.5%	2.5%	7.56	4.63	—
2024	24	A MLE	St. Lucie Mets	22	0	28	138	18	21	4	0%	1.3	9.7%	18.0%	-8.3%	4.6%	5.79	7.06	—
2024	24	A MLE	St. Lucie Mets	22	0	28	138	18	21	4	0%	1.3	9.7%	18.0%	-8.3%	4.6%	5.79	7.06	—
2024	24	A RAW	St. Lucie Mets	22	0	28	138	18	21	4	0%	1.3	13.0%	15.2%	-2.2%	2.9%	5.79	5.92	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	26	MLB	NYM	1	0	1	4	1	1	0	0%	1.0	18.0%	14.1%	3.9%	3.0%	5.42	5.42	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	27	MLB MLE	NYM	24	0	25	105	19	14	3	0%	1.0	18.5%	13.7%	4.8%	3.1%	5.33	5.35	-0.2
2027	27	MLB CTX	NYM	9	0	9	38	7	5	1	0%	1.0	18.5%	13.7%	4.8%	3.1%	5.33	5.35	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	9	38	7	5	1	0%	1.0	18.5%	13.7%	4.8%	3.1%	5.33	4.97	-0.0
/ 200 IP	—	RAW		190	0	200	844	155	111	22	0%	1.1	18.5%	13.7%	4.8%	3.1%	5.33	4.97	-1.0
Career	—	MLE		89	12	146	697	108	111	16	13%	1.6	15.5%	15.9%	-0.4%	2.4%	6.16	5.10	-0.2
/ 200 IP	—	MLE		122	16	200	955	148	152	23	13%	1.6	15.5%	15.9%	-0.4%	2.4%	6.16	5.10	-1.9

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
Miguel Alfonseca (OGILVIE)	—	—	5.42	18.0%	14.1%	3.0%	—	5.35	18.5%	4.8%	25	-0.07	—	—	—
David Holman R 2017 · 5.53 FIP	27	SU	5.53	15.6%	12.7%	3.9%	.324	5.45	9.6%	0.5%	107	-0.08	5.28	129	85
Derek Eitel R 2015 · 4.35 FIP	27	SU	4.35	18.1%	13.9%	1.8%	.338	4.26	19.7%	5.0%	113	-0.09	3.96	138	84
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	83
Justin Courtney R 2022 · 5.11 FIP	26	SU	5.11	16.8%	12.8%	3.3%	.331	8.63	18.4%	7.1%	21	+3.52	4.58	108	83
Grant Black R 2021 · 4.46 FIP	27	SW	4.46	19.0%	13.9%	2.2%	.327	5.37	14.7%	3.6%	156	+0.91	4.46	215	83
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.86	18.0%	10.2%	272	-1.00	3.52	390	82
Logan Taylor R 2018 · 4.79 FIP	26	SU	4.79	17.2%	12.1%	2.9%	.316	—	—	—	—	—	3.55	300	82
Julian Arballo R 2015 · 5.13 FIP	27	SU	5.13	15.1%	13.8%	2.8%	.335	4.46	12.6%	0.6%	116	-0.67	4.45	214	82
Jake Johansen R 2017 · 4.65 FIP	26	SU	4.65	15.9%	12.1%	2.5%	.273	3.65	12.8%	4.9%	48	-1.00	3.65	162	81
Ryan Conroy R 2022 · 4.75 FIP	25	SU	4.75	19.3%	12.6%	3.1%	.361	—	—	—	—	—	4.01	106	81
Ray Gaither R 2023 · 4.89 FIP	25	SU	4.89	18.1%	16.4%	2.3%	.278	4.19	17.7%	6.6%	90	-0.70	3.90	164	81
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	80
Tyler Burch R 2023 · 4.92 FIP	25	SU	4.92	15.0%	12.6%	2.7%	.285	—	—	—	—	—	4.56	119	80
Armando Rivero R 2015 · 4.29 FIP	27	SU	4.29	18.7%	13.5%	1.9%	.256	2.70	32.9%	19.8%	68	-1.59	2.70	125	79
Jake Gilbert R 2022 · 4.65 FIP	25	SU	4.65	18.2%	16.2%	1.9%	.331	—	—	—	—	—	4.14	103	79
Brad Schreiber R 2017 · 4.23 FIP	26	SU	4.23	17.3%	12.7%	1.8%	.312	—	—	—	—	—	3.81	171	79
Arcenio Leon R 2015 · 4.73 FIP	28	SU	4.73	17.9%	12.5%	2.9%	.450	3.37	18.0%	9.1%	85	-1.36	3.00	115	79
Tanner Duncan R 2019 · 5.37 FIP	24	SU	5.37	17.5%	14.8%	3.4%	.301	—	—	—	—	—	3.28	123	79
Max Alba R 2023 · 4.47 FIP	24	SU	4.47	20.6%	12.6%	2.7%	.290	5.15	16.7%	9.9%	244	+0.68	4.47	299	79
Harrison Cohen R 2023 · 4.56 FIP	24	SU	4.56	22.4%	13.4%	3.0%	.282	4.21	22.0%	8.7%	119	-0.35	2.12	165	79