Yosver Zulueta

P Norfolk Tides

Age 29 RHP 6'1" / 190 lbs AAA

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX2 levels	52	70	4.09	3.27	27.2%	12.5%	1.1	K 24.3% · BB 11.5% · FIP 3.35
2025	27	MIX2 levels	51	68	3.59	3.78	29.4%	12.8%	0.6	K 26.8% · BB 11.5% · FIP 4.17
2026	28	AAABAL	44	44	5.68	4.00	23.6%	13.8%	—	K 20.3% · BB 12.4% · FIP 4.14
2027PROJ	29	MLBBAL	24	25	4.28	4.45	24.3%	11.8%	0.0
2028PROJ61% MLB	30	MLBBAL	26	27	4.49	4.64	23.5%	11.8%	-0.0
2029PROJ72% MLB	31	MLBBAL	25	26	4.69	4.85	22.7%	12.0%	-0.1

Last 3 seasons WAR 1.7 · Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff60Control40Command55

Career WAR0.0 WAR median (P10 -0.1 / P90 0.3, comp-based) · star 0% · didn't stick 97%

CompsJoe Nelson (age 31) · Coleman Huntley III (age 29) · Jim Miller (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118110vR 101

ERA4.28

FIP4.45

K%24.3%

BB%11.8%

K-BB%12.5%

Proj IP56

Value2027 · WAR

Runs saved vs league avg · 56 IP

Grades · Contract

Scouting Grades

STUF6060

CTRL4040

CMD5555

K†6060

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)
2021	23	A MLE	Dunedin Blue Jays	1	1	0	1	0	0	0	100%	—	0.0%	0.0%	0.0%	0.0%	—	3.10	—
2021	23	A RAW	Dunedin Blue Jays	1	1	0	1	0	0	0	100%	—	0.0%	0.0%	0.0%	0.0%	—	—	—
2022	24	MIX MLE	4 levels	21	12	56	248	84	32	2	57%	2.7	27.1%	14.0%	13.1%	1.1%	3.72	3.19	—
2022	24	MIX RAW	4 levels	21	12	56	248	84	32	2	57%	2.7	33.9%	12.9%	21.0%	0.8%	3.72	2.27	—
2023	25	AAA MLE	Buffalo Bisons	45	7	64	287	73	45	1	16%	1.4	21.9%	14.1%	7.8%	0.4%	4.08	3.27	—
2023	25	AAA RAW	Buffalo Bisons	45	7	64	287	73	45	1	16%	1.4	25.4%	15.7%	9.8%	0.3%	4.08	3.13	—
2024	26	MIX MLE	2 levels	52	0	70	312	85	39	5	0%	1.4	24.3%	11.5%	12.9%	1.5%	4.09	3.35	+1.0
2024	26	MIX MLE	2 levels	52	0	70	312	85	39	5	0%	1.4	24.3%	11.5%	12.9%	1.5%	4.09	3.35	+1.0
2024	26	MIX RAW	2 levels	52	0	70	312	85	39	5	0%	1.4	27.2%	12.5%	14.7%	1.6%	4.09	3.27	+1.1
2025	27	MIX MLE	2 levels	51	0	68	282	83	36	8	0%	1.3	26.8%	11.5%	15.3%	3.4%	3.59	4.17	+0.3
2025	27	MIX MLE	2 levels	51	0	68	282	83	36	8	0%	1.3	26.8%	11.5%	15.3%	3.4%	3.59	4.17	+0.3
2025	27	MIX RAW	2 levels	51	0	68	282	83	36	8	0%	1.3	29.4%	12.8%	16.7%	2.8%	3.59	3.78	+0.6
2026	28	AAA MLE	Norfolk Tides	44	0	44	203	48	28	4	0%	1.0	20.3%	12.4%	7.9%	2.2%	5.68	4.14	—
2026	28	AAA MLE	Norfolk Tides	44	0	44	203	48	28	4	0%	1.0	20.3%	12.4%	7.9%	2.2%	5.68	4.14	—
2026	28	AAA RAW	Norfolk Tides	44	0	44	203	48	28	4	0%	1.0	23.6%	13.8%	9.9%	2.0%	5.68	4.00	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			19	0	24	101	25	11	3	0%	1.2	24.8%	10.9%	13.9%	3.0%	5.32	4.03	+0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	BAL	24	0	25	106	26	12	3	0%	1.0	24.3%	11.8%	12.5%	2.8%	4.28	4.45	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	BAL	42	0	44	185	44	22	6	0%	1.0	23.5%	11.8%	11.7%	3.0%	4.49	4.64	-0.0
2029	31	MLB MLE	BAL	35	0	36	153	35	18	5	0%	1.0	22.7%	12.0%	10.8%	3.2%	4.69	4.85	-0.1
2028	30	MLB CTX	BAL	26	0	27	114	27	13	3	0%	1.0	23.5%	11.8%	11.7%	3.0%	4.49	4.64	-0.0
2029	31	MLB CTX	BAL	25	0	26	110	25	13	4	0%	1.0	22.7%	12.0%	10.8%	3.2%	4.69	4.85	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		69	0	76	323	76	37	10	0%	1.1	23.6%	11.6%	12.0%	3.1%	4.82	4.26	+0.3
/ 200 IP	—	RAW		181	0	200	847	199	97	26	0%	1.1	23.6%	11.6%	12.0%	3.1%	4.82	4.26	+0.7
Career	—	MLE		213	19	302	1332	323	169	23	9%	1.4	24.2%	12.7%	11.6%	1.7%	4.14	3.60	-0.0
/ 200 IP	—	MLE		141	13	200	882	214	112	15	9%	1.4	24.2%	12.7%	11.6%	1.7%	4.14	3.60	-0.1

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 AAANorfolk Tides · 44 IPFIP 3.93 → 4.14 (+0.21)K% 23.6% → 20.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.65%	—	×0.860	20.33%
BB% (unintentional) /BF	13.79%	—	×0.900	12.41%
HR / BF /BF	1.97%	÷1.000	×1.100	2.17%

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 3.93 → 4.14, 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 AAALouisville Bats · 60 IPFIP 3.62 → 4.17 (+0.55)K% 31.2% → 26.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.20%	—	×0.860	26.83%
BB% (unintentional) /BF	12.80%	—	×0.900	11.52%
HR / BF /BF	2.80%	÷0.901	×1.100	3.42%

Result: FIP 3.62 → 4.17, 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 AAALouisville Bats · 54 IPFIP 3.19 → 3.33 (+0.14)K% 26.7% → 23.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.75%	—	×0.860	23.00%
BB% (unintentional) /BF	13.17%	—	×0.900	11.85%
HR / BF /BF	1.23%	÷1.111	×1.100	1.22%

Result: FIP 3.19 → 3.33, 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 AAABuffalo Bisons · 64 IPFIP 3.13 → 3.27 (+0.14)K% 25.4% → 21.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.44%	—	×0.860	21.87%
BB% (unintentional) /BF	15.68%	—	×0.900	14.11%
HR / BF /BF	0.35%	÷0.916	×1.100	0.42%

Result: FIP 3.13 → 3.27, 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 A+Vancouver Canadians · 24 IPFIP 2.44 → 3.40 (+0.96)K% 30.4% → 23.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.39%	—	×0.770	23.40%
BB% (unintentional) /BF	10.78%	—	×1.150	12.40%
HR / BF /BF	0.98%	÷0.952	×1.250	1.29%

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 90).

Result: FIP 2.44 → 3.40, 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 AANew Hampshire Fisher Cats · 15 IPFIP 3.39 → 4.31 (+0.92)K% 34.2% → 27.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.25%	—	×0.810	27.74%
BB% (unintentional) /BF	19.18%	—	×1.100	21.10%
HR / BF /BF	1.37%	÷1.027	×1.200	1.60%

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 105).

Result: FIP 3.39 → 4.31, 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 ADunedin Blue Jays · 12 IPFIP 0.04 → 1.16 (+1.12)K% 45.1% → 33.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	45.10%	—	×0.740	33.37%
BB% (unintentional) /BF	5.88%	—	×1.180	6.94%
HR / BF /BF	0.00%	÷0.916	×1.300	0.00%

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 83).

Result: FIP 0.04 → 1.16, 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 AAABuffalo Bisons · 5 IPFIP 3.48 → 3.83 (+0.35)K% 22.7% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.73%	—	×0.880	20.00%
BB% (unintentional) /BF	18.18%	—	×1.050	19.09%
HR / BF /BF	0.00%	÷0.951	×1.100	0.00%

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 90).

Result: FIP 3.48 → 3.83, 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
Yosver Zulueta (OGILVIE)	—	—	4.45	24.3%	11.8%	2.8%	—	4.74	23.1%	11.3%	80	+0.29	—	—	—
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	85
Coleman Huntley III R 2022 · 4.05 FIP	29	SU	4.05	24.4%	10.9%	3.0%	.311	2.38	20.9%	12.6%	25	-1.67	2.38	160	85
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	83
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	83
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	81
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	81
Dalier Hinojosa R 2015 · 3.41 FIP	29	SU	3.41	20.4%	9.8%	1.4%	.283	4.30	18.7%	6.1%	24	+0.89	3.41	104	80
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	79
Gregory Infante R 2016 · 4.47 FIP	29	SU	4.47	19.0%	12.3%	2.6%	.333	3.43	22.5%	15.8%	120	-1.04	2.97	230	79
Jose Veras R 2010 · 4.10 FIP	29	SU	4.10	26.9%	14.4%	2.6%	.239	3.42	25.3%	14.8%	201	-0.68	3.37	422	79
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	79
Cody Hall R 2017 · 4.03 FIP	29	SU	4.03	26.8%	10.0%	3.5%	.299	3.92	25.9%	8.4%	19	-0.11	3.51	134	79
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	78
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	78
Luis García R 2016 · 3.75 FIP	29	SU	3.75	20.6%	10.9%	1.8%	.281	3.74	21.6%	12.6%	179	-0.01	2.33	662	78
Manny Acosta R 2010 · 3.61 FIP	29	SU	3.61	26.8%	10.8%	2.5%	.277	4.12	21.9%	12.6%	94	+0.51	3.08	350	78
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	77
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	77
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	77
Tyler Walker R 2005 · 4.19 FIP	29	SU	4.19	19.4%	7.5%	3.2%	.303	3.61	19.7%	11.3%	93	-0.58	2.38	289	77

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	0.8	53	23.8%	11.7%	1.15	4.59
Fernando Rodriguez Jr. ('16)	1.2	58	24.6%	11.1%	0.93	4.35
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Mac Scarce ('72-'78, 1 WAR*)	1.0	52	25.9%*	12.4%*	1.27*	4.17*
Bill Risley ('98)	1.1	55	21.9%	10.9%	1.26	3.98
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*