Eybersson Polanco

P Rocket City Trash Pandas

Age 23 RHP 6'0" / 170 lbs AA peak 0.3 · 2030

Overview

AAPROSPECT

ETA2028MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	21	ASalem Red Sox	36	0	62	5.23	2.73	24.6%	10.7%	—	K 18.2% · BB 12.7% · FIP 3.72
2026	22	AALAA	31	16	100	4.23	3.25	23.3%	9.5%	—	K 18.9% · BB 10.5% · FIP 3.93
2027PROJ	23	MLBLAA	67	0	70	4.97	4.97	17.8%	12.5%	-0.3
2028PROJ44% MLB	24	MLBLAA	38	0	40	4.82	4.76	18.8%	11.5%	-0.1
2029PROJ67% MLB	25	MLBLAA	59	0	62	4.70	4.64	19.4%	10.8%	-0.1

Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control35Command40

Career WAR0 WAR median (P10 -0 / P90 4, comp-based) · star 1% · didn't stick 86%

CompsAnyelo Gómez (age 23) · Patrick Halligan (age 23) · Cade Winquest (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 128119vR 111

ERA4.97

FIP4.97

K%17.8%

BB%12.5%

K-BB%5.3%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL3535

CMD4040

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	18	ROK MLE	DSL BOS Red	12	12	51	194	50	17	0	100%	4.2	17.5%	11.0%	6.6%	0.0%	1.78	3.01	—
2022	18	ROK RAW	DSL BOS Red	12	12	51	194	50	17	0	100%	4.2	25.8%	8.8%	17.0%	0.0%	1.78	2.13	—
2023	19	ROK MLE	FCL Red Sox	8	7	32	143	22	15	3	88%	4.0	10.5%	13.1%	-2.7%	3.0%	5.06	5.53	—
2023	19	ROK RAW	FCL Red Sox	8	7	32	143	22	15	3	88%	4.0	15.4%	10.5%	4.9%	2.1%	5.06	4.35	—
2025	21	A MLE	Salem Red Sox	36	0	62	289	71	31	2	0%	1.7	18.2%	12.7%	5.5%	1.0%	5.23	3.72	—
2025	21	A MLE	Salem Red Sox	36	0	62	289	71	31	2	0%	1.7	18.2%	12.7%	5.5%	1.0%	5.23	3.72	—
2025	21	A RAW	Salem Red Sox	36	0	62	289	71	31	2	0%	1.7	24.6%	10.7%	13.8%	0.7%	5.23	2.73	—
2026	22	AA MLE	Rocket City Trash Pandas	31	16	100	420	98	40	7	52%	3.2	18.9%	10.5%	8.4%	2.0%	4.23	3.93	—
2026	22	AA MLE	Rocket City Trash Pandas	31	16	100	420	98	40	7	52%	3.2	18.9%	10.5%	8.4%	2.0%	4.23	3.93	—
2026	22	AA RAW	Rocket City Trash Pandas	31	16	100	420	98	40	7	52%	3.2	23.3%	9.5%	13.8%	1.7%	4.23	3.25	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	LAA	67	0	70	296	53	37	8	0%	1.0	17.8%	12.5%	5.3%	2.6%	4.97	4.97	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	LAA	88	0	92	389	73	45	10	0%	1.0	18.8%	11.5%	7.3%	2.6%	4.82	4.76	-0.2
2029	25	MLB MLE	LAA	89	0	93	394	76	43	10	0%	1.0	19.4%	10.8%	8.5%	2.6%	4.70	4.64	-0.1
2030	26	MLB MLE	LAA	89	0	93	394	78	42	10	0%	1.0	19.7%	10.6%	9.1%	2.6%	4.63	4.60	-0.1
2031	27	MLB MLE	LAA	88	0	92	388	77	41	10	0%	1.0	19.8%	10.6%	9.1%	2.7%	4.62	4.63	-0.1
2032	28	MLB MLE	LAA	85	0	89	377	74	41	10	0%	1.0	19.6%	10.8%	8.8%	2.8%	4.68	4.71	-0.2
2033	29	MLB MLE	LAA	81	0	85	360	70	40	11	0%	1.1	19.4%	11.0%	8.4%	2.9%	4.78	4.84	-0.3
2034	30	MLB MLE	LAA	76	0	80	338	64	38	11	0%	1.1	19.0%	11.3%	7.7%	3.1%	4.92	5.02	-0.4
2028	24	MLB CTX	LAA	38	0	40	169	32	19	4	0%	1.1	18.8%	11.5%	7.3%	2.6%	4.82	4.76	-0.1
2029	25	MLB CTX	LAA	59	0	62	262	51	28	7	0%	1.1	19.4%	10.8%	8.5%	2.6%	4.70	4.64	-0.1
2030	26	MLB CTX	LAA	70	0	74	312	62	33	8	0%	1.1	19.7%	10.6%	9.1%	2.6%	4.63	4.60	-0.0
2031	27	MLB CTX	LAA	75	0	79	334	66	35	9	0%	1.1	19.8%	10.6%	9.1%	2.7%	4.62	4.63	-0.1
2032	28	MLB CTX	LAA	75	0	79	334	65	36	9	0%	1.1	19.6%	10.8%	8.8%	2.8%	4.68	4.71	-0.1
2033	29	MLB CTX	LAA	73	0	77	325	63	36	10	0%	1.1	19.4%	11.0%	8.4%	2.9%	4.78	4.84	-0.3
2034	30	MLB CTX	LAA	70	0	74	312	59	35	10	0%	1.1	19.0%	11.3%	7.7%	3.1%	4.92	5.02	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		463	0	487	2055	399	224	57	0%	1.1	19.4%	10.9%	8.5%	2.8%	4.73	4.36	+1.1
/ 200 IP	—	RAW		190	0	200	844	164	92	23	0%	1.1	19.4%	10.9%	8.5%	2.8%	4.73	4.36	+0.4
Career	—	MLE		87	35	245	1046	181	121	16	40%	2.8	17.3%	11.5%	5.8%	1.5%	4.08	3.92	-1.4
/ 200 IP	—	MLE		71	29	200	855	148	99	13	40%	2.8	17.3%	11.5%	5.8%	1.5%	4.08	3.92	-0.4

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
Eybersson Polanco (OGILVIE)	—	—	4.97	17.8%	12.5%	2.6%	—	4.67	19.3%	8.3%	279	-0.30	—	—	—
Anyelo Gómez R 2016 · 4.66 FIP	23	SW	4.66	17.1%	12.2%	2.7%	.292	2.66	24.2%	15.6%	68	-2.00	2.66	145	91
Patrick Halligan R 2023 · 4.43 FIP	23	SW	4.43	18.8%	11.6%	2.6%	.330	3.80	25.1%	15.0%	175	-0.63	2.47	305	91
Cade Winquest R 2023 · 4.37 FIP	23	SP-	4.37	17.9%	12.0%	2.3%	.299	3.71	21.6%	11.0%	188	-0.66	3.16	266	88
Jake Christianson R 2023 · 4.00 FIP	23	SW	4.00	17.9%	10.1%	2.1%	.309	4.72	16.4%	6.1%	105	+0.72	4.00	188	87
Houston Roth R 2021 · 4.63 FIP	23	SW	4.63	16.4%	10.5%	2.9%	.263	4.83	20.8%	8.3%	228	+0.20	3.79	406	87
Noah Skirrow R 2021 · 4.55 FIP	23	SP-	4.55	18.4%	11.5%	2.8%	.306	4.71	16.1%	6.1%	316	+0.16	3.97	371	86
John Matthews R 2021 · 4.87 FIP	23	SW	4.87	18.6%	10.4%	3.7%	.351	4.75	15.5%	1.6%	145	-0.12	4.51	213	85
Robinson Tejeda R 2005 · 3.81 FIP	23	SP-	3.81	19.4%	12.7%	1.4%	.251	4.96	16.1%	4.4%	214	+1.15	3.40	435	85
Dakota Hawkins R 2024 · 4.31 FIP	24	SW	4.31	16.3%	8.9%	2.7%	.277	4.32	19.4%	10.4%	102	+0.01	3.50	186	84
Hunter Adkins R 2016 · 4.64 FIP	25	SW	4.64	16.2%	10.3%	2.9%	.290	4.82	11.8%	0.5%	58	+0.18	4.64	160	84
Peyton Pallette R 2024 · 4.38 FIP	23	SW	4.38	20.7%	10.9%	3.0%	.309	3.59	25.9%	13.5%	119	-0.79	3.54	273	83
Matt Marsh R 2015 · 4.14 FIP	24	SW	4.14	15.5%	10.7%	1.8%	.275	3.65	20.5%	11.4%	70	-0.49	3.13	143	83
Paulshawn Pasqualotto R 2024 · 4.84 FIP	23	SW	4.84	15.6%	9.5%	3.4%	.354	3.77	20.2%	10.8%	111	-1.07	3.73	186	83
Luis Rujano R 2024 · 4.54 FIP	21	SW	4.54	17.0%	12.3%	2.4%	.361	4.80	17.9%	-0.8%	97	+0.26	4.54	203	82
James McArthur R 2019 · 5.04 FIP	22	SP-	5.04	18.8%	15.5%	2.9%	.304	4.41	20.0%	10.7%	131	-0.63	3.48	352	82
Shohei Tomioka R 2021 · 4.00 FIP	25	SW	4.00	18.9%	9.0%	2.5%	.311	4.39	17.2%	4.0%	141	+0.39	3.65	301	82
Axel Rios R 2016 · 4.70 FIP	23	SW	4.70	13.1%	13.5%	1.8%	.333	4.06	15.2%	3.2%	97	-0.64	3.50	153	82
Danny Kirwin R 2024 · 4.19 FIP	24	SW	4.19	17.9%	9.9%	2.4%	.262	5.33	16.8%	4.6%	91	+1.14	4.16	161	82
Daniel Blair R 2023 · 4.10 FIP	24	SW	4.10	16.6%	10.0%	2.1%	.284	4.39	17.0%	7.8%	78	+0.29	4.10	171	82
Jackson Finley R 2024 · 4.16 FIP	23	SP-	4.16	18.0%	12.8%	1.7%	.361	3.97	20.9%	9.8%	67	-0.19	3.97	150	81

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 3,327 pitcher careers (1,251 from 1990-2025 + 2,076 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	3.5	87	19.2%	11.1%	1.06	4.76
Charlie Puleo ('81-'89, 1 WAR*)	3.2	90	18.5%*	11.5%*	1.22*	4.73*
Alan Benes ('03)	2.5	99	18.6%	10.2%	1.07	4.59
Steve Mura ('78-'85, 1 WAR*)	3.2	127	19.2%*	10.8%*	1.06*	4.84*
Harry Perkowski ('47-'55, 3 WAR*)	3.5	100	17.5%*	9.9%*	1.05*	4.55*
Steven Brault ('22)	1.8	59	18.8%	11.3%	0.97	4.73
Jeff Juden ('99)	2.7	107	18.8%	10.5%	1.23	4.81