Miguel Sime Jr.

P Wilmington Blue Rocks

Age 20 RHP 6'4" / 235 lbs A+ Svc 0.0 · Ctrl thru 2036 peak 1.4 · 2032

Overview

A+PROSPECTMiLBFA 2037

OGV OFP40OGV rank#234ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	19	MIX2 levels	23	23	72	2.99	2.70	41.3%	20.3%	—	K 31.3% · BB 23.6% · FIP 4.11
2027PROJ	20	MLBWSH	—	—	0	4.82	4.82	31.4%	20.0%	—
2028PROJ49% MLB	21	MLBWSH	5	5	30	4.61	4.51	31.0%	17.4%	0.3
2029PROJ73% MLB	22	MLBWSH	8	8	46	4.37	4.21	31.4%	15.4%	0.6

Next 3 projected WAR 1.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$3M+2

Career WAR1.8 WAR median (P10 -0.4 / P90 5.1, comp-based) · star 1% · didn't stick 88%

CompsRoyber Salinas (age 20) · Beck Way (age 21) · Trace Bright (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 108

ERA4.82

FIP4.82

K%31.4%

BB%20.0%

K-BB%11.4%

Proj IP51

Value2027 · WAR

Runs saved vs league avg · 51 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$54M ctrl surplus

Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+1.1	$6M	+$6M
2032	Pre-Arb	$0.9M	+1.2	$7M	+$6M
2033	Pre-Arb	$0.9M	+1.2	$6M	+$6M
2034	Arb-1	$3M	+1.2	$6M	+$4M
2035	Arb-2	$4M	+1.1	$5M	+$3M
2036	Arb-3	$5M	+0.9	$2M	+$0.0M (cut)
Totals		$9M		$31M	+$25M

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 the standard WAR scale.

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)
2026	19	MIX MLE	2 levels	23	23	72	315	130	64	3	100%	3.1	31.3%	23.6%	7.7%	1.2%	2.99	4.11	—
2026	19	MIX MLE	2 levels	23	23	72	315	130	64	3	100%	3.1	31.3%	23.6%	7.7%	1.2%	2.99	4.11	—
2026	19	MIX RAW	2 levels	23	23	72	315	130	64	3	100%	3.1	41.3%	20.3%	21.0%	1.0%	2.99	2.70	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	WSH	—	—	0	—	—	—	—	—	—	31.4%	20.0%	11.4%	2.7%	4.82	4.82	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	WSH	11	11	61	259	80	45	7	100%	5.6	31.0%	17.4%	13.6%	2.6%	4.61	4.51	+0.6
2029	22	MLB MLE	WSH	12	12	63	267	84	41	7	100%	5.3	31.4%	15.4%	15.9%	2.6%	4.37	4.21	+0.9
2030	23	MLB MLE	WSH	12	12	65	274	87	39	7	100%	5.4	31.7%	14.1%	17.5%	2.6%	4.16	4.01	+1.1
2031	24	MLB MLE	WSH	12	12	66	277	89	37	7	100%	5.5	32.0%	13.4%	18.7%	2.6%	3.99	3.87	+1.2
2032	25	MLB MLE	WSH	11	11	65	276	90	36	7	100%	5.9	32.4%	12.9%	19.5%	2.5%	3.86	3.77	+1.3
2033	26	MLB MLE	WSH	11	11	66	279	91	36	7	100%	6.0	32.6%	12.8%	19.8%	2.5%	3.79	3.75	+1.3
2034	27	MLB MLE	WSH	11	11	65	273	89	35	7	100%	5.9	32.6%	12.9%	19.7%	2.6%	3.79	3.79	+1.2
2035	28	MLB MLE	WSH	10	10	62	261	85	34	7	100%	6.2	32.5%	13.1%	19.4%	2.7%	3.84	3.87	+1.1
2036	29	MLB MLE	WSH	10	10	57	242	78	32	7	100%	5.7	32.2%	13.3%	18.9%	2.8%	3.94	4.00	+1.0
2037	30	MLB MLE	WSH	9	9	52	218	70	30	7	100%	5.7	31.9%	13.6%	18.3%	3.0%	4.08	4.18	+0.7
2038	31	MLB MLE	WSH	8	8	46	193	61	27	6	100%	5.7	31.5%	14.0%	17.5%	3.3%	4.26	4.38	+0.5
2028	21	MLB CTX	WSH	5	5	30	127	39	22	3	100%	6.0	31.0%	17.4%	13.6%	2.6%	4.61	4.51	+0.3
2029	22	MLB CTX	WSH	8	8	46	194	61	30	5	100%	5.8	31.4%	15.4%	15.9%	2.6%	4.37	4.21	+0.6
2030	23	MLB CTX	WSH	10	10	55	232	74	33	6	100%	5.5	31.7%	14.1%	17.5%	2.6%	4.16	4.01	+0.9
2031	24	MLB CTX	WSH	11	11	59	249	80	33	6	100%	5.4	32.0%	13.4%	18.7%	2.6%	3.99	3.87	+1.1
2032	25	MLB CTX	WSH	10	10	60	253	82	33	6	100%	6.0	32.4%	12.9%	19.5%	2.5%	3.86	3.77	+1.2
2033	26	MLB CTX	WSH	10	10	62	262	85	34	7	100%	6.2	32.6%	12.8%	19.8%	2.5%	3.79	3.75	+1.2
2034	27	MLB CTX	WSH	10	10	61	258	84	33	7	100%	6.1	32.6%	12.9%	19.7%	2.6%	3.79	3.79	+1.2
2035	28	MLB CTX	WSH	10	10	59	249	81	33	7	100%	5.9	32.5%	13.1%	19.4%	2.7%	3.84	3.87	+1.1
2036	29	MLB CTX	WSH	9	9	55	232	75	31	7	100%	6.1	32.2%	13.3%	18.9%	2.8%	3.94	4.00	+0.9
2037	30	MLB CTX	WSH	8	8	49	207	66	28	6	100%	6.1	31.9%	13.6%	18.3%	3.0%	4.08	4.18	+0.7
2038	31	MLB CTX	WSH	7	7	43	182	57	25	6	100%	6.1	31.5%	14.0%	17.5%	3.3%	4.26	4.38	+0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		101	101	579	2443	784	335	66	100%	5.7	32.1%	13.7%	18.4%	2.7%	4.02	3.61	+12.6
/ 200 IP	—	RAW		35	35	200	844	271	116	23	100%	5.7	32.1%	13.7%	18.4%	2.7%	4.02	3.61	+4.4
Career	—	MLE		23	23	72	315	98	74	4	100%	3.1	31.3%	23.6%	7.7%	1.2%	2.99	4.11	+11.0
/ 200 IP	—	MLE		64	64	200	871	272	206	11	100%	3.1	31.3%	23.6%	7.7%	1.2%	2.99	4.11	+3.3

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 A+Wilmington Blue Rocks · 46 IPFIP 2.91 → 4.18 (+1.27)K% 38.8% → 29.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.78%	—	×0.770	29.86%
BB% (unintentional) /BF	19.90%	—	×1.150	22.88%
HR / BF /BF	1.02%	÷1.000	×1.250	1.28%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 2.91 → 4.18, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2026 AFredericksburg Nationals · 26 IPFIP 2.39 → 4.00 (+1.61)K% 45.4% → 33.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	45.38%	—	×0.740	33.58%
BB% (unintentional) /BF	21.01%	—	×1.180	24.79%
HR / BF /BF	0.84%	÷1.000	×1.300	1.09%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 2.39 → 4.00, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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 Sime Jr. (OGILVIE)	—	—	—	—	—	2.7%	—	4.24	31.4%	15.7%	190	-0.58	—	—	—
Royber Salinas R 2021 · 4.69 FIP	20	SP-	4.69	27.4%	17.3%	3.1%	.280	4.36	26.1%	11.3%	213	-0.33	3.75	285	74
Beck Way R 2021 · 4.53 FIP	21	SP	4.53	23.1%	16.5%	2.4%	.250	4.79	19.8%	5.4%	246	+0.26	3.82	438	71
Trace Bright R 2023 · 4.26 FIP	22	SP-	4.26	26.3%	14.7%	2.8%	.297	4.85	19.4%	6.3%	322	+0.59	4.26	422	71
Carlos Lagrange R 2023 · 4.34 FIP	20	SP	4.34	22.1%	15.5%	2.1%	.291	3.93	25.8%	12.5%	199	-0.41	3.66	273	70
Luis Gil R 2018 · 3.96 FIP	20	SP	3.96	24.3%	19.3%	0.9%	.256	3.54	26.0%	12.1%	205	-0.42	3.11	567	70
Cristian Hernandez R 2024 · 4.39 FIP	19	SP	4.39	23.5%	19.9%	1.4%	.269	5.41	18.1%	2.6%	62	+1.02	4.39	116	69
Joe Boyle R 2021 · 4.73 FIP	21	SP	4.73	36.4%	26.9%	2.4%	.333	4.24	27.3%	7.8%	327	-0.49	3.31	564	69
River Ryan R 2022 · 3.69 FIP	23	SP	3.69	26.1%	12.2%	2.3%	.321	3.88	20.3%	9.2%	134	+0.19	2.44	223	69
Rayner Urbaez R 2023 · 3.88 FIP	20	SP	3.88	23.6%	11.4%	2.4%	.337	3.35	15.0%	3.0%	27	-0.53	2.55	103	69
Brandon Young R 2021 · 4.13 FIP	22	SP	4.13	24.5%	12.3%	2.8%	.297	3.48	22.2%	14.6%	150	-0.65	3.03	492	68
Jaime Melendez R 2022 · 4.42 FIP	20	SP-	4.42	26.3%	17.2%	2.5%	.321	6.68	10.4%	-14.2%	38	+2.26	3.35	190	68
James Proctor R 2021 · 3.99 FIP	23	SP	3.99	22.0%	15.2%	1.5%	.277	4.39	14.0%	1.5%	48	+0.40	3.99	109	67
Trevor Bauer R 2012 · 4.79 FIP	21	SP	4.79	22.1%	16.9%	2.6%	.267	4.08	21.8%	11.8%	346	-0.71	2.16	1,298	66
Chayce McDermott R 2021 · 4.79 FIP	22	SP-	4.79	33.0%	15.9%	4.5%	.286	4.22	27.0%	12.9%	323	-0.57	3.27	449	66
Adrian Heredia R 2024 · 3.77 FIP	19	SP	3.77	21.6%	12.8%	1.6%	.300	5.38	14.9%	1.8%	104	+1.61	3.34	149	65
Simeon Woods Richardson R 2021 · 4.12 FIP	20	SP	4.12	26.0%	15.6%	2.3%	.347	3.94	19.8%	10.4%	368	-0.18	2.97	779	65
Tanner McDougal R 2023 · 4.96 FIP	20	SP	4.96	19.7%	16.9%	2.5%	.285	4.81	21.3%	8.0%	253	-0.15	3.82	323	64
Eddy Peralta R 2023 · 4.65 FIP	20	SP-	4.65	22.0%	19.8%	1.6%	.342	3.96	21.0%	1.7%	86	-0.69	3.73	117	64
Carmen Mlodzinski R 2021 · 4.33 FIP	22	SP	4.33	23.1%	10.8%	3.3%	.311	3.86	20.8%	11.3%	236	-0.47	3.16	524	63
Cade Smith R 2024 · 3.86 FIP	22	SP	3.86	23.2%	13.3%	1.9%	.273	5.35	18.2%	6.6%	157	+1.49	3.86	243	63

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	3.6	60	32.0%	14.3%	1.04	4.11
Rod Scurry ('80-'88, 5 WAR*)	2.3	58	29.6%*	13.6%*	0.91*	3.67*
Jake Diekman ('24)	3.0	50	28.7%	13.4%	0.79	3.91
Matt Mantei ('05)	1.6	54	28.0%	14.1%	0.84	4.07
Kyle Barraclough ('23)	1.4	56	28.2%	13.9%	0.99	3.86
Mark Clear ('79-'90, 7 WAR*)	4.0	80	33.4%*	15.2%*	0.78*	3.89*
Mark Littell ('73-'82, 7 WAR*)	2.7	66	30.7%*	13.4%*	0.74*	3.75*