Jerming Rosario

P Oklahoma City Comets

Age 25 RHP 6'1" / 175 lbs AAA

Overview

AAAPROSPECT

ETA2028MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	MIX3 levels	27	23	109	4.47	3.62	25.2%	15.3%	—	K 20.2% · BB 16.4% · FIP 4.31
2025	23	AALAD	46	6	79	4.67	3.82	24.3%	14.2%	—	K 19.7% · BB 15.7% · FIP 4.58
2026	24	AAALAD	52	0	65	3.17	3.90	27.7%	12.5%	—	K 23.8% · BB 11.2% · FIP 4.18
2027PROJ	25	MLBLAD	7	0	7	5.09	5.09	21.8%	15.0%	-0.0
2028PROJ48% MLB	26	MLBLAD	25	0	26	5.00	4.99	22.2%	14.3%	-0.1
2029PROJ66% MLB	27	MLBLAD	30	0	31	4.96	4.98	22.2%	14.0%	-0.1

Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control30Command40

Career WAR0.0 WAR median (P10 -0.5 / P90 1.7, comp-based) · star 0% · didn't stick 91%

CompsSean Isaac (age 25) · Nick Hull (age 24) · Grant Black (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 130122vR 114

ERA5.09

FIP5.09

K%21.8%

BB%15.0%

K-BB%6.8%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL3030

CMD4040

K†5055

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 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)
2019	17	ROK MLE	DSL LAD Bautista	13	13	45	176	43	15	0	100%	3.5	16.6%	10.7%	6.0%	0.0%	0.79	3.05	—
2019	17	ROK RAW	DSL LAD Bautista	13	13	45	176	43	15	0	100%	3.5	24.4%	8.5%	15.9%	0.0%	0.79	2.20	—
2021	19	MIX MLE	2 levels	14	7	40	187	54	17	6	50%	2.9	21.1%	10.5%	10.6%	4.2%	7.36	4.97	—
2021	19	MIX RAW	2 levels	14	7	40	187	54	17	6	50%	2.9	28.9%	9.1%	19.8%	3.2%	7.36	3.62	—
2022	20	A MLE	Rancho Cucamonga Quakes	26	14	85	404	112	60	9	54%	3.3	20.5%	17.5%	3.0%	2.3%	6.64	4.86	—
2022	20	A RAW	Rancho Cucamonga Quakes	26	14	85	404	112	60	9	54%	3.3	27.7%	14.9%	12.9%	2.2%	6.64	3.96	—
2023	21	MIX MLE	2 levels	25	15	92	393	114	40	8	60%	3.7	22.1%	11.8%	10.3%	2.7%	4.21	4.18	—
2023	21	MIX RAW	2 levels	25	15	92	393	114	40	8	60%	3.7	29.0%	10.2%	18.8%	2.0%	4.21	3.06	—
2024	22	MIX MLE	3 levels	27	23	109	477	120	73	6	85%	4.0	20.2%	16.4%	3.8%	1.5%	4.47	4.31	—
2024	22	MIX MLE	3 levels	27	23	109	477	120	73	6	85%	4.0	20.2%	16.4%	3.8%	1.5%	4.47	4.31	—
2024	22	MIX RAW	3 levels	27	23	109	477	120	73	6	85%	4.0	25.2%	15.3%	9.9%	1.3%	4.47	3.62	—
2025	23	AA MLE	Tulsa Drillers	46	6	79	358	87	51	6	13%	1.7	19.7%	15.7%	4.0%	2.1%	4.67	4.58	—
2025	23	AA MLE	Tulsa Drillers	46	6	79	358	87	51	6	13%	1.7	19.7%	15.7%	4.0%	2.1%	4.67	4.58	—
2025	23	AA RAW	Tulsa Drillers	46	6	79	358	87	51	6	13%	1.7	24.3%	14.2%	10.1%	1.7%	4.67	3.82	—
2026	24	AAA MLE	Oklahoma City Comets	52	0	65	289	80	36	8	0%	1.3	23.8%	11.2%	12.6%	3.0%	3.17	4.18	—
2026	24	AAA MLE	Oklahoma City Comets	52	0	65	289	80	36	8	0%	1.3	23.8%	11.2%	12.6%	3.0%	3.17	4.18	—
2026	24	AAA RAW	Oklahoma City Comets	52	0	65	289	80	36	8	0%	1.3	27.7%	12.5%	15.2%	2.8%	3.17	3.90	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	LAD	7	0	7	30	6	4	1	0%	1.0	21.8%	15.0%	6.8%	2.8%	5.09	5.09	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	LAD	51	0	54	227	50	33	6	0%	1.1	22.2%	14.3%	7.8%	2.9%	5.00	4.99	-0.3
2029	27	MLB MLE	LAD	45	0	47	198	44	28	6	0%	1.0	22.2%	14.0%	8.2%	2.9%	4.96	4.98	-0.2
2030	28	MLB MLE	LAD	41	0	43	182	40	25	5	0%	1.0	22.2%	13.9%	8.2%	3.0%	4.99	5.03	-0.2
2031	29	MLB MLE	LAD	38	0	40	167	37	23	5	0%	1.0	22.0%	14.1%	7.9%	3.2%	5.07	5.14	-0.3
2028	26	MLB CTX	LAD	25	0	26	110	24	16	3	0%	1.0	22.2%	14.3%	7.8%	2.9%	5.00	4.99	-0.1
2029	27	MLB CTX	LAD	30	0	31	131	29	18	4	0%	1.0	22.2%	14.0%	8.2%	2.9%	4.96	4.98	-0.1
2030	28	MLB CTX	LAD	31	0	33	139	31	19	4	0%	1.1	22.2%	13.9%	8.2%	3.0%	4.99	5.03	-0.2
2031	29	MLB CTX	LAD	31	0	33	139	31	20	4	0%	1.1	22.0%	14.1%	7.9%	3.2%	5.07	5.14	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		117	0	123	518	115	73	16	0%	1.0	22.1%	14.1%	8.1%	3.0%	5.01	4.66	-0.2
/ 200 IP	—	RAW		190	0	200	844	187	119	26	0%	1.1	22.1%	14.1%	8.1%	3.0%	5.01	4.66	-0.3
Career	—	MLE		203	78	516	2284	474	322	51	38%	2.5	20.7%	14.1%	6.7%	2.3%	4.55	4.37	-1.0
/ 200 IP	—	MLE		79	30	200	885	184	125	20	38%	2.5	20.7%	14.1%	6.7%	2.3%	4.55	4.37	-1.1

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 AAAOklahoma City Comets · 65 IPFIP 3.86 → 4.18 (+0.32)K% 27.7% → 23.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.68%	—	×0.860	23.81%
BB% (unintentional) /BF	12.46%	—	×0.900	11.21%
HR / BF /BF	2.77%	÷1.000	×1.100	3.04%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. 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 3.86 → 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).

2025 AATulsa Drillers · 79 IPFIP 3.77 → 4.58 (+0.80)K% 24.3% → 19.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.30%	—	×0.810	19.68%
BB% (unintentional) /BF	14.25%	—	×1.100	15.67%
HR / BF /BF	1.68%	÷0.957	×1.200	2.10%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 91).

Result: FIP 3.77 → 4.58, 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).

2024 AATulsa Drillers · 67 IPFIP 3.83 → 4.54 (+0.70)K% 25.2% → 20.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.16%	—	×0.810	20.38%
BB% (unintentional) /BF	18.30%	—	×1.100	20.13%
HR / BF /BF	0.98%	÷1.063	×1.200	1.11%

Result: FIP 3.83 → 4.54, 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).

2024 A+Great Lakes Loons · 37 IPFIP 2.99 → 3.86 (+0.87)K% 25.7% → 19.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.68%	—	×0.770	19.77%
BB% (unintentional) /BF	7.43%	—	×1.150	8.55%
HR / BF /BF	2.03%	÷1.036	×1.250	2.45%

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 107).

Result: FIP 2.99 → 3.86, 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).

2024 AAAOklahoma City Baseball Club · 5 IPFIP 4.57 → 4.50 (−0.07)K% 21.7% → 18.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.74%	—	×0.860	18.70%
BB% (unintentional) /BF	26.09%	—	×0.900	23.48%
HR / BF /BF	0.00%	÷0.896	×1.100	0.00%

Result: FIP 4.57 → 4.50, 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).

2023 A+Great Lakes Loons · 67 IPFIP 3.29 → 4.42 (+1.13)K% 28.4% → 21.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.37%	—	×0.770	21.85%
BB% (unintentional) /BF	11.42%	—	×1.150	13.13%
HR / BF /BF	2.08%	÷0.951	×1.250	2.73%

Result: FIP 3.29 → 4.42, 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).

2023 ARancho Cucamonga Quakes · 25 IPFIP 2.41 → 3.52 (+1.11)K% 30.8% → 22.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.77%	—	×0.740	22.77%
BB% (unintentional) /BF	6.73%	—	×1.180	7.94%
HR / BF /BF	1.92%	÷1.025	×1.300	2.44%

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 105).

Result: FIP 2.41 → 3.52, 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).

2022 ARancho Cucamonga Quakes · 85 IPFIP 3.86 → 4.86 (+1.00)K% 27.7% → 20.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.72%	—	×0.740	20.51%
BB% (unintentional) /BF	14.85%	—	×1.180	17.52%
HR / BF /BF	2.23%	÷1.247	×1.300	2.32%

Result: FIP 3.86 → 4.86, 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
Jerming Rosario (OGILVIE)	—	—	5.09	21.8%	15.0%	2.8%	—	5.00	22.2%	8.1%	144	-0.09	—	—	—
Sean Isaac R 2018 · 4.20 FIP	25	SW	4.20	24.2%	16.3%	2.0%	.292	—	—	—	—	—	3.27	155	85
Nick Hull R 2024 · 4.62 FIP	24	SW	4.62	19.0%	12.2%	2.9%	.296	5.00	16.8%	6.2%	111	+0.38	4.26	292	84
Grant Black R 2021 · 4.46 FIP	27	SW	4.46	19.0%	13.9%	2.2%	.327	5.35	15.0%	3.8%	156	+0.89	4.46	215	83
Cameron Foster R 2024 · 4.83 FIP	25	SW	4.83	17.4%	11.5%	3.2%	.321	3.09	25.5%	17.5%	60	-1.74	2.50	213	81
Emmanuel Chapman R 2024 · 4.08 FIP	25	SW	4.08	19.7%	10.6%	2.4%	.256	4.52	17.8%	1.3%	117	+0.44	3.81	198	80
Jimmy Joyce R 2024 · 4.30 FIP	25	SW	4.30	17.8%	14.2%	1.7%	.278	—	—	—	—	—	3.39	259	79
Wil Jensen R 2023 · 4.88 FIP	25	SU	4.88	20.2%	12.1%	3.5%	.284	3.48	22.7%	14.3%	84	-1.40	3.48	368	79
Eric Cerantola R 2024 · 4.65 FIP	24	SW	4.65	25.7%	16.6%	2.9%	.245	3.74	26.2%	15.9%	100	-0.91	3.37	270	79
Marcos Tineo R 2022 · 4.57 FIP	25	SW	4.57	22.2%	14.4%	2.8%	.320	7.13	7.8%	-24.1%	10	+2.56	3.52	273	79
Noah Denoyer R 2023 · 5.24 FIP	25	SW	5.24	22.2%	14.0%	4.1%	.306	—	—	—	—	—	3.26	181	79
Ryan Jensen R 2023 · 4.61 FIP	25	SU	4.61	20.9%	17.0%	2.0%	.329	4.12	24.4%	7.6%	107	-0.49	3.92	311	78
Jarret Whorff R 2024 · 4.04 FIP	25	SU	4.04	18.9%	10.2%	2.3%	.271	4.52	19.6%	12.0%	123	+0.48	3.88	257	78
Preston Johnson R 2024 · 3.94 FIP	24	SU	3.94	23.7%	18.2%	1.0%	.331	5.04	22.6%	10.5%	137	+1.10	3.94	193	78
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	77
Brandon Morrow R 2009 · 4.89 FIP	25	SW	4.89	20.1%	13.7%	3.2%	.284	3.37	25.5%	16.4%	450	-1.52	2.67	922	77
Stephen Johnson R 2016 · 5.15 FIP	25	SU	5.15	16.7%	12.7%	3.4%	.268	—	—	—	—	—	3.12	141	77
Richard Guasch R 2022 · 4.41 FIP	24	SW	4.41	22.3%	16.2%	2.1%	.287	3.24	23.8%	11.8%	72	-1.17	2.94	316	77
Brad Deppermann R 2021 · 4.51 FIP	25	SW	4.51	17.1%	9.6%	3.0%	.289	3.52	20.0%	7.8%	45	-0.99	1.94	143	77
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	77
Cole McDonald R 2022 · 5.07 FIP	25	SW	5.07	26.5%	19.8%	3.1%	.403	3.87	23.6%	11.6%	93	-1.20	2.81	153	76

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	1.3	51	22.1%	14.3%	1.14	5.03
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*