Nick Ramirez

P Oklahoma City Baseball Club

Age 37 LHP 6'4" / 232 lbs AAA peak 0.1 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	32	AAASEA	53	0	55	2.93	2.88	23.7%	6.2%	—	K 20.8% · BB 6.6% · FIP 3.12
2023	33	MIX2 levels	50	1	63	2.86	2.83	19.1%	5.4%	1.3	K 17.9% · BB 5.3% · FIP 2.91
2024	34	MIX2 levels	37	2	50	4.83	3.26	16.1%	6.0%	0.8	K 14.2% · BB 5.7% · FIP 3.55
2025	35	No MLB games played
2026	36	No MLB games played
2027PROJ	37	MLBLAD	3	0	3	4.39	4.46	20.1%	8.7%	0.0
2028PROJMLE	38	MLBLAD	—	—	0	4.77	4.97	19.0%	9.4%	—

Last 3 seasons WAR 2.1 · Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2024

FB Velo10

K%10

xwOBA vs10

CompsHeriberto Ruelas (age 35) · Brian Shouse (age 37) · Hisanori Takahashi (age 37)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 102110vR 118

ERA4.39

FIP4.46

K%20.1%

BB%8.7%

K-BB%11.5%

Proj IP30

Value2027 · WAR

Runs saved vs league avg · 30 IP

Grades · Statcast · Contract

Scouting Grades

K†5050

Statcast Percentiles

FB Velo

p1088.3

Whiff%

p1019.6%

p107.9%

xwOBA vs

p100.417

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)
2017	27	MIX MLE	2 levels	49	0	79	313	56	23	4	0%	1.6	14.5%	8.1%	6.4%	1.1%	1.36	3.51	—
2017	27	MIX RAW	2 levels	49	0	79	313	56	23	4	0%	1.6	17.9%	7.3%	10.5%	1.3%	1.36	3.21	—
2018	28	MIX MLE	2 levels	39	2	68	297	51	33	5	5%	1.8	14.3%	11.9%	2.5%	1.7%	3.95	4.35	—
2018	28	MIX RAW	2 levels	39	2	68	297	51	33	5	5%	1.8	17.2%	11.1%	6.1%	1.7%	3.95	4.01	—
2019	29	MIX MLE	3 levels	51	5	103	446	104	36	13	10%	2.0	22.4%	8.2%	14.1%	3.1%	3.67	3.94	+0.7
2019	29	MIX RAW	3 levels	51	5	103	446	104	36	13	10%	2.0	23.3%	8.1%	15.2%	2.9%	3.67	3.77	+1.0
2020	30	MLB MLE	Detroit Tigers	5	0	11	46	11	4	3	0%	2.1	23.9%	8.7%	15.2%	6.5%	5.91	5.76	-0.1
2020	30	MLB RAW	Detroit Tigers	5	0	11	46	11	4	3	0%	2.1	23.9%	8.7%	15.2%	6.5%	5.91	5.82	-0.2
2021	31	MIX MLE	2 levels	48	2	68	300	67	23	7	4%	1.4	20.2%	8.0%	12.2%	2.2%	4.87	3.63	+0.7
2021	31	MIX RAW	2 levels	48	2	68	300	67	23	7	4%	1.4	22.3%	7.7%	14.7%	2.3%	4.87	3.48	+0.9
2022	32	AAA MLE	Tacoma Rainiers	53	0	55	224	53	14	4	0%	1.0	20.8%	6.6%	14.3%	1.7%	2.93	3.12	—
2022	32	AAA RAW	Tacoma Rainiers	53	0	55	224	53	14	4	0%	1.0	23.7%	6.2%	17.4%	1.8%	2.93	2.88	—
2023	33	MIX MLE	2 levels	50	1	63	257	49	14	3	2%	1.3	17.9%	5.3%	12.7%	1.2%	2.86	2.91	+1.2
2023	33	MIX RAW	2 levels	50	1	63	257	49	14	3	2%	1.3	19.1%	5.4%	13.6%	1.2%	2.86	2.83	+1.3
2024	34	MIX MLE	2 levels	37	2	50	217	35	13	3	5%	1.4	14.2%	5.7%	8.5%	1.7%	4.83	3.55	+0.6
2024	34	MIX MLE	2 levels	37	2	50	217	35	13	3	5%	1.4	14.2%	5.7%	8.5%	1.7%	4.83	3.55	+0.6
2024	34	MIX RAW	2 levels	37	2	50	217	35	13	3	5%	1.4	16.1%	6.0%	10.1%	1.4%	4.83	3.26	+0.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			104	0	165	720	132	55	17	0%	1.6	18.3%	7.6%	10.7%	2.4%	4.21	3.84	+1.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	37	MLB	LAD	3	0	3	13	3	1	0	0%	1.0	20.1%	8.7%	11.5%	2.9%	4.39	4.46	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	38	MLB MLE	LAD	18	0	19	80	15	8	3	0%	1.1	19.0%	9.4%	9.6%	3.3%	4.69	4.89	-0.1
2028	38	MLB CTX	LAD	—	—	0	—	—	—	—	—	—	19.0%	9.4%	9.6%	3.5%	4.77	4.97	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		104	0	165	720	132	55	17	0%	1.6	18.3%	7.6%	10.7%	2.4%	4.21	3.82	+1.4
/ 200 IP	—	RAW		126	0	200	874	160	67	21	0%	1.6	18.3%	7.6%	10.7%	2.4%	4.21	3.82	+1.7
Career	—	MLE		332	12	498	2100	383	166	43	4%	1.5	18.2%	7.9%	10.3%	2.0%	3.49	3.68	+1.3
/ 200 IP	—	MLE		133	5	200	843	154	67	17	4%	1.5	18.2%	7.9%	10.3%	2.0%	3.49	3.68	+1.4

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.

2024 AAAOklahoma City Baseball Club · 37 IPFIP 3.10 → 3.52 (+0.42)K% 19.5% → 16.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.48%	—	×0.860	16.75%
BB% (unintentional) /BF	4.55%	—	×0.900	4.09%
HR / BF /BF	1.95%	÷0.896	×1.100	2.39%

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 79).

Result: FIP 3.10 → 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).

2023 AAAScranton/Wilkes-Barre RailRiders · 22 IPFIP 3.05 → 3.37 (+0.32)K% 24.7% → 21.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.71%	—	×0.860	21.25%
BB% (unintentional) /BF	5.88%	—	×0.900	5.29%
HR / BF /BF	2.35%	÷1.017	×1.100	2.54%

Result: FIP 3.05 → 3.37, 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 AAATacoma Rainiers · 55 IPFIP 2.87 → 3.12 (+0.24)K% 23.7% → 20.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.66%	—	×0.880	20.82%
BB% (unintentional) /BF	6.25%	—	×1.050	6.56%
HR / BF /BF	1.79%	÷1.144	×1.100	1.72%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 129).

Result: FIP 2.87 → 3.12, 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).

2021 AAAEl Paso Chihuahuas · 48 IPFIP 3.36 → 3.61 (+0.25)K% 25.4% → 22.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.36%	—	×0.880	22.32%
BB% (unintentional) /BF	8.61%	—	×1.050	9.04%
HR / BF /BF	2.39%	÷1.154	×1.100	2.28%

Result: FIP 3.36 → 3.61, 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).

2019 AAErie SeaWolves · 14 IPFIP 1.49 → 2.05 (+0.56)K% 36.4% → 29.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.36%	—	×0.810	29.45%
BB% (unintentional) /BF	3.64%	—	×1.100	4.00%
HR / BF /BF	1.82%	÷1.294	×1.200	1.69%

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 159).

Result: FIP 1.49 → 2.05, 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).

2019 AAAToledo Mud Hens · 9 IPFIP 3.30 → 3.88 (+0.58)K% 23.3% → 20.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.26%	—	×0.880	20.47%
BB% (unintentional) /BF	6.98%	—	×1.050	7.33%
HR / BF /BF	2.33%	÷0.888	×1.100	2.88%

Result: FIP 3.30 → 3.88, 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).

2018 AAAColorado Springs Sky Sox · 38 IPFIP 4.69 → 4.85 (+0.16)K% 10.3% → 9.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	10.29%	—	×0.880	9.05%
BB% (unintentional) /BF	12.00%	—	×1.050	12.60%
HR / BF /BF	1.71%	÷1.124	×1.100	1.68%

Result: FIP 4.69 → 4.85, 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).

2018 AABiloxi Shuckers · 31 IPFIP 2.96 → 3.62 (+0.66)K% 27.0% → 21.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.05%	—	×0.810	21.91%
BB% (unintentional) /BF	9.84%	—	×1.100	10.82%
HR / BF /BF	1.64%	÷1.078	×1.200	1.83%

Result: FIP 2.96 → 3.62, 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
Nick Ramirez (OGILVIE)	—	—	4.46	20.1%	8.7%	2.9%	—	4.89	19.0%	9.6%	19	+0.43	—	—	—
Heriberto Ruelas L 2017 · 3.42 FIP	35	SU	3.42	17.2%	6.7%	1.7%	.294	—	—	—	—	—	2.95	117	70
Brian Shouse L 2006 · 4.19 FIP	37	SU	4.19	13.2%	7.5%	2.3%	.269	3.37	15.3%	11.0%	127	-0.82	2.32	339	62
Hisanori Takahashi L 2012 · 4.04 FIP	37	SU	4.04	24.5%	6.1%	4.1%	.295	—	—	—	—	—	3.50	240	57
Keiichi Yabu R 2005 · 4.05 FIP	36	SU	4.05	16.8%	8.8%	2.3%	.307	3.48	15.9%	6.6%	68	-0.57	3.48	126	38
Juan Sandoval R 2017 · 3.42 FIP	36	SU	3.42	16.7%	7.2%	1.5%	.298	5.41	15.9%	8.7%	57	+1.99	3.24	225	36
Scott Atchison R 2013 · 3.80 FIP	37	SU	3.80	14.4%	6.2%	2.1%	.273	3.60	16.7%	12.9%	92	-0.20	2.52	340	36
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	34
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	33
Hector Navarro R 2017 · 3.53 FIP	37	SU	3.53	11.5%	5.6%	1.3%	.283	—	—	—	—	—	2.30	126	32
Salvador Valdez R 2019 · 4.30 FIP	36	SW	4.30	17.1%	8.2%	2.9%	.405	—	—	—	—	—	3.60	326	32
Francisco Del Rosario R 2017 · 4.15 FIP	36	SU	4.15	16.4%	10.0%	2.1%	.267	6.35	11.9%	-0.6%	77	+2.20	3.93	194	30
Pete Walker R 2006 · 4.45 FIP	37	SU	4.45	19.6%	8.0%	3.6%	.337	—	—	—	—	—	4.45	327	30
Chris Nichting R 2002 · 4.67 FIP	36	SU	4.67	16.6%	3.3%	4.6%	.289	—	—	—	—	—	4.11	103	30
Brian Sweeney R 2010 · 4.63 FIP	36	SU	4.63	9.5%	3.4%	3.5%	.226	—	—	—	—	—	3.03	108	28
Matt Bush R 2023 · 3.79 FIP	37	SU	3.79	26.2%	8.7%	3.3%	.225	—	—	—	—	—	2.87	249	28
Tony Pena Jr. R 2017 · 3.43 FIP	36	SU	3.43	10.9%	4.3%	1.3%	.312	—	—	—	—	—	2.80	128	27
Seunghwan Oh R 2019 · 5.75 FIP	37	SU	5.75	18.2%	6.8%	6.0%	.383	—	—	—	—	—	1.87	226	25
Yoshihisa Hirano R 2020 · 5.02 FIP	36	SU	5.02	17.5%	12.7%	3.3%	.381	—	—	—	—	—	3.45	132	21
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	19
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	14

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	1.1	43	18.6%	8.7%	0.97	4.28
Blaine Hardy ('21)	1.5	48	18.5%	8.3%	0.99	3.78
Matt Wise ('08)	1.6	53	18.1%	7.9%	1.14	4.23
Josh Outman ('14)	1.4	46	19.0%	9.7%	0.92	4.43
Mark Dewey ('90-'96, 3 WAR*)	1.2	42	18.7%*	9.6%*	0.80*	3.89*
Jay Ritchie ('64-'68, 2 WAR*)	1.5	58	21.1%*	8.0%*	1.01*	4.21*
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*