Anderson Severino

P Syracuse Mets

Age 32 LHP 5'10" / 190 lbs AAA

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2021	26	MIX2 levels	40	0	46	2.36	2.88	27.3%	16.5%	—	K 22.9% · BB 18.0% · FIP 3.45
2022	27	MIX2 levels	43	0	37	10.37	6.58	21.4%	22.9%	-0.9	K 17.9% · BB 26.4% · FIP 6.46
2026	31	AAANYM	18	1	21	1.31	2.76	25.0%	13.8%	—	K 21.5% · BB 12.4% · FIP 2.85
2027PROJ	32	MLBNYM	10	0	11	4.45	4.45	22.1%	11.2%	0.0
2028PROJ37% MLB	33	MLBNYM	7	0	7	4.59	4.69	21.7%	11.4%	-0.0

Last 3 seasons WAR -0.9 · 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%

CompsRaul Valdes (age 32) · Juan Pablo Perez (age 34) · Zach Phillips (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 101110vR 118

ERA4.45

FIP4.45

K%22.1%

BB%11.2%

K-BB%10.9%

Proj IP11

Value2027 · WAR

Runs saved vs league avg · 11 IP

Grades · Arsenal · Contract

Scouting Grades

K†5555

CH+0.7

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)
2015	20	ROK MLE	GCL Yankees1	11	9	41	187	32	33	0	82%	3.8	11.6%	22.1%	-10.4%	0.0%	2.61	4.91	—
2015	20	ROK RAW	GCL Yankees1	11	9	41	187	32	33	0	82%	3.8	17.1%	17.6%	-0.5%	0.0%	2.61	3.95	—
2016	21	ROK MLE	GCL Yankees West	11	8	49	218	34	21	3	73%	4.4	10.6%	12.0%	-1.4%	1.9%	6.29	4.79	—
2016	21	ROK RAW	GCL Yankees West	11	8	49	218	34	21	3	73%	4.4	15.6%	9.6%	6.0%	1.4%	6.29	3.80	—
2017	22	ROK MLE	Pulaski Yankees	15	0	23	100	24	11	1	0%	1.5	16.3%	13.8%	2.6%	1.4%	1.59	4.23	—
2017	22	ROK RAW	Pulaski Yankees	15	0	23	100	24	11	1	0%	1.5	24.0%	11.0%	13.0%	1.0%	1.59	3.01	—
2018	23	MIX MLE	2 levels	30	0	46	203	39	17	0	0%	1.5	13.9%	8.9%	5.0%	0.0%	3.74	3.05	—
2018	23	MIX RAW	2 levels	30	0	46	203	39	17	0	0%	1.5	19.2%	8.4%	10.8%	0.0%	3.74	2.51	—
2019	24	MIX MLE	2 levels	16	0	29	141	31	19	3	0%	1.8	17.0%	16.1%	0.9%	2.9%	4.71	5.28	—
2019	24	MIX RAW	2 levels	16	0	29	141	31	19	3	0%	1.8	22.0%	13.5%	8.5%	2.1%	4.71	4.29	—
2021	26	MIX MLE	2 levels	40	0	46	194	53	32	0	0%	1.1	22.9%	18.0%	4.9%	0.0%	2.36	3.45	—
2021	26	MIX RAW	2 levels	40	0	46	194	53	32	0	0%	1.1	27.3%	16.5%	10.8%	0.0%	2.36	2.88	—
2022	27	MIX MLE	2 levels	43	0	37	201	43	46	6	0%	0.9	17.9%	26.4%	-8.5%	2.8%	10.37	6.46	-0.8
2022	27	MIX RAW	2 levels	43	0	37	201	43	46	6	0%	0.9	21.4%	22.9%	-1.5%	3.0%	10.37	6.58	-0.9
2026	31	AAA MLE	Syracuse Mets	18	1	21	80	20	11	0	6%	1.1	21.5%	12.4%	9.1%	0.0%	1.31	2.85	—
2026	31	AAA MLE	Syracuse Mets	18	1	21	80	20	11	0	6%	1.1	21.5%	12.4%	9.1%	0.0%	1.31	2.85	—
2026	31	AAA RAW	Syracuse Mets	18	1	21	80	20	11	0	6%	1.1	25.0%	13.8%	11.2%	0.0%	1.31	2.76	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			6	0	7	34	9	4	0	0%	1.2	26.5%	11.8%	14.7%	0.0%	6.14	2.28	+0.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	32	MLB	NYM	10	0	11	46	10	5	1	0%	1.1	22.1%	11.2%	10.9%	2.6%	4.45	4.45	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	33	MLB MLE	NYM	19	0	20	84	18	10	2	0%	1.1	21.7%	11.4%	10.3%	2.9%	4.59	4.69	-0.0
2028	33	MLB CTX	NYM	7	0	7	30	6	3	1	0%	1.0	21.7%	11.4%	10.3%	2.9%	4.59	4.69	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	15	65	16	8	1	0%	1.1	24.2%	11.6%	12.6%	1.4%	5.36	3.29	+0.2
/ 200 IP	—	RAW		177	0	200	886	218	109	14	0%	1.1	24.2%	11.6%	12.6%	1.4%	5.36	3.29	+3.0
Career	—	MLE		184	18	291	1324	211	220	15	10%	1.6	15.9%	16.6%	-0.7%	1.2%	4.40	4.49	+0.2
/ 200 IP	—	MLE		127	12	200	911	145	151	10	10%	1.6	15.9%	16.6%	-0.7%	1.2%	4.40	4.49	+1.2

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
Anderson Severino (OGILVIE)	—	—	4.45	22.1%	11.2%	2.6%	—	4.69	21.7%	10.3%	20	+0.24	—	—	—
Raul Valdes L 2010 · 4.02 FIP	32	SU	4.02	21.4%	9.9%	2.7%	.301	3.14	27.4%	22.5%	78	-0.88	2.29	160	78
Juan Pablo Perez L 2013 · 3.68 FIP	34	SU	3.68	25.2%	11.5%	2.3%	.250	3.68	26.5%	11.2%	51	-0.00	1.75	104	73
Zach Phillips L 2019 · 3.67 FIP	32	SU	3.67	19.1%	8.5%	2.0%	.355	—	—	—	—	—	2.33	202	71
Adam Liberatore L 2018 · 4.28 FIP	31	SU	4.28	18.6%	9.1%	2.9%	.354	—	—	—	—	—	2.38	124	71
Hideki Okajima L 2008 · 3.49 FIP	32	SU	3.49	23.3%	8.5%	2.3%	.253	4.09	18.4%	11.4%	107	+0.60	3.05	238	70
Jack Taschner L 2010 · 4.74 FIP	32	SU	4.74	18.1%	11.7%	3.1%	.317	—	—	—	—	—	3.14	189	70
Yorkis Perez L 2000 · 4.85 FIP	32	SU	4.85	18.9%	10.8%	3.6%	.284	4.54	20.8%	10.0%	27	-0.31	3.18	269	69
Ryan O'Rourke L 2019 · 4.08 FIP	31	SU	4.08	22.1%	14.3%	1.9%	.290	—	—	—	—	—	3.05	145	69
Jeremy Bleich L 2019 · 4.41 FIP	32	SW	4.41	20.1%	7.0%	3.9%	.360	—	—	—	—	—	3.20	241	68
Brian Shouse L 2002 · 5.54 FIP	33	SU	5.54	15.5%	11.3%	4.2%	.245	3.31	16.3%	10.7%	159	-2.23	2.32	339	68
Doug Creek L 2001 · 4.48 FIP	32	SU	4.48	23.7%	15.8%	2.5%	.272	4.99	20.3%	7.6%	69	+0.51	4.48	277	67
Cory Luebke L 2016 · 3.88 FIP	31	SU	3.88	26.4%	9.1%	3.4%	.354	—	—	—	—	—	2.80	216	66
Kelly Wunsch L 2003 · 3.36 FIP	31	SU	3.36	20.6%	13.1%	0.6%	.152	3.82	21.0%	9.6%	24	+0.46	3.36	175	66
James Jones L 2021 · 5.35 FIP	32	SU	5.35	23.0%	11.4%	5.0%	.315	4.25	18.1%	3.1%	36	-1.10	3.58	127	65
Dan Runzler L 2017 · 4.20 FIP	32	SU	4.20	17.5%	11.0%	2.1%	.325	4.84	16.0%	3.0%	27	+0.64	2.84	187	65
Tim Byrdak L 2005 · 3.45 FIP	31	SU	3.45	23.7%	15.3%	0.8%	.329	4.31	22.0%	10.7%	100	+0.86	2.85	320	64
Marlon Arias L 2017 · 3.73 FIP	32	SU	3.73	17.2%	7.7%	2.0%	.443	4.83	19.8%	8.6%	74	+1.10	3.73	154	64
Edward Paredes L 2019 · 5.10 FIP	32	SU	5.10	21.5%	7.3%	5.3%	.364	—	—	—	—	—	2.36	130	63
Tommy Phelps L 2005 · 3.98 FIP	31	SU	3.98	13.2%	7.5%	1.9%	.280	—	—	—	—	—	3.39	120	63
Zac Rosscup L 2019 · 4.42 FIP	31	SU	4.42	26.4%	20.5%	1.7%	.386	2.69	26.6%	13.7%	58	-1.73	2.56	173	63