Tyler Zuber

P Miami Marlins

Age 32 RHP 5'11" / 195 lbs MLB

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	29	MIX2 levels	37	0	41	6.37	4.12	27.0%	11.6%	0.2	K 23.2% · BB 10.3% · FIP 4.09
2025	30	MIX2 levels	41	2	50	6.84	4.44	23.0%	10.0%	0.1	K 20.7% · BB 9.2% · FIP 4.73
2026	31	MIX2 levels	64	1	67	5.48	4.87	28.1%	8.9%	-0.3	K 26.2% · BB 8.4% · FIP 5.07
2027PROJ	32	MLBMIA	40	0	42	4.95	4.86	24.0%	8.8%	-0.1
2028PROJ91% MLB	33	MLBMIA	33	0	35	5.06	5.14	23.2%	9.2%	-0.2
2029PROJ87% MLB	34	MLBMIA	23	0	24	5.29	5.44	22.3%	9.7%	-0.2

Last 3 seasons WAR 0.0 · Next 3 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo64

xwOBA vs61

K%60

Form6.35 ERA (proj 4.95) · K 22.2% (proj 24.0%) · BB 8.1% (proj 8.8%) · last 90d · 23 IP through Oct 27

CompsMike Broadway (age 31) · Sergio Santos (age 32) · Joe Nelson (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 116108vR 100

ERA4.95

FIP4.86

K%24.0%

BB%8.8%

K-BB%15.3%

Proj IP47

Value2027 · WAR

Runs saved vs league avg · 47 IP

Grades · Statcast · Contract

Scouting Grades

STUF5050

CTRL4545

CMD5050

K†6060

Statcast Percentiles

FB Velo

p6495.5

Whiff%

p3322.9%

p6024.0%

xwOBA vs

p610.301

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	22	MIX MLE	2 levels	19	0	27	127	39	10	0	0%	1.4	23.5%	8.0%	15.5%	0.0%	3.62	2.12	—
2017	22	MIX RAW	2 levels	19	0	27	127	39	10	0	0%	1.4	30.7%	7.9%	22.8%	0.0%	3.62	1.34	—
2018	23	MIX MLE	2 levels	43	0	51	211	70	11	5	0%	1.2	24.9%	6.1%	18.8%	3.1%	3.88	3.47	—
2018	23	MIX RAW	2 levels	43	0	51	211	70	11	5	0%	1.2	33.2%	5.2%	28.0%	2.4%	3.88	2.28	—
2019	24	MIX MLE	2 levels	43	0	55	215	68	14	2	0%	1.3	24.9%	7.4%	17.5%	1.2%	1.79	2.61	—
2019	24	MIX RAW	2 levels	43	0	55	215	68	14	2	0%	1.3	31.6%	6.5%	25.1%	0.9%	1.79	1.87	—
2020	25	MLB MLE	Kansas City Royals	23	0	22	99	30	19	4	0%	1.0	30.3%	19.2%	11.1%	4.4%	4.09	5.37	-0.2
2020	25	MLB RAW	Kansas City Royals	23	0	22	99	30	19	4	0%	1.0	30.3%	19.2%	11.1%	4.0%	4.09	5.33	-0.2
2021	26	MIX MLE	2 levels	59	0	56	239	68	29	9	0%	0.9	26.3%	12.4%	13.9%	4.1%	4.50	4.68	-0.1
2021	26	MIX RAW	2 levels	59	0	56	239	68	29	9	0%	0.9	28.5%	12.1%	16.3%	3.8%	4.50	4.31	+0.2
2023	28	AAA MLE	Reno Aces	16	0	21	90	18	10	3	0%	1.3	17.2%	10.0%	7.2%	3.6%	5.23	4.90	—
2023	28	AAA RAW	Reno Aces	16	0	21	90	18	10	3	0%	1.3	20.0%	11.1%	8.9%	3.3%	5.23	4.70	—
2024	29	MIX MLE	2 levels	37	0	41	189	51	22	6	0%	1.1	23.2%	10.3%	12.9%	3.0%	6.37	4.09	+0.2
2024	29	MIX MLE	2 levels	37	0	41	189	51	22	6	0%	1.1	23.2%	10.3%	12.9%	3.0%	6.37	4.09	+0.2
2024	29	MIX RAW	2 levels	37	0	41	189	51	22	6	0%	1.1	27.0%	11.6%	15.3%	3.2%	6.37	4.12	+0.2
2025	30	MIX MLE	2 levels	41	2	50	230	53	23	8	5%	1.2	20.7%	9.2%	11.5%	4.0%	6.84	4.73	-0.1
2025	30	MIX MLE	2 levels	41	2	50	230	53	23	8	5%	1.2	20.7%	9.2%	11.5%	4.0%	6.84	4.73	-0.1
2025	30	MIX RAW	2 levels	41	2	50	230	53	23	8	5%	1.2	23.0%	10.0%	13.0%	3.5%	6.84	4.44	+0.1
2026	31	MIX MLE	2 levels	64	1	67	302	85	27	16	2%	1.1	26.2%	8.4%	17.7%	5.7%	5.48	5.07	-0.4
2026	31	MIX MLE	2 levels	64	1	67	302	85	27	16	2%	1.1	26.2%	8.4%	17.7%	5.7%	5.48	5.07	-0.4
2026	31	MIX RAW	2 levels	64	1	67	302	85	27	16	2%	1.1	28.1%	8.9%	19.2%	5.3%	5.48	4.87	-0.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			110	0	104	471	115	53	24	0%	0.9	24.4%	11.3%	13.2%	5.1%	6.04	5.41	-1.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	32	MLB	MIA	40	0	42	177	43	16	7	0%	1.1	24.0%	8.8%	15.3%	4.2%	4.95	4.86	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	33	MLB MLE	MIA	37	0	39	164	38	15	7	0%	1.0	23.2%	9.2%	14.0%	4.5%	5.06	5.14	-0.3
2029	34	MLB MLE	MIA	26	0	28	117	26	11	6	0%	1.1	22.3%	9.7%	12.6%	4.8%	5.29	5.44	-0.3
2028	33	MLB CTX	MIA	33	0	35	148	34	14	7	0%	1.1	23.2%	9.2%	14.0%	4.5%	5.06	5.14	-0.2
2029	34	MLB CTX	MIA	23	0	24	101	23	10	5	0%	1.0	22.3%	9.7%	12.6%	4.8%	5.29	5.44	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		167	0	164	722	172	77	35	0%	1.0	23.9%	10.6%	13.2%	4.9%	5.72	5.13	-1.1
/ 200 IP	—	RAW		203	0	200	882	210	94	43	0%	1.0	23.9%	10.6%	13.2%	4.9%	5.72	5.13	-1.4
Career	—	MLE		345	3	391	1702	415	163	59	1%	1.1	24.4%	9.6%	14.8%	3.4%	4.65	4.14	-1.6
/ 200 IP	—	MLE		177	2	200	871	212	83	30	1%	1.1	24.4%	9.6%	14.8%	3.4%	4.65	4.14	-1.9

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 AAAJacksonville Jumbo Shrimp · 28 IPFIP 4.43 → 4.93 (+0.50)K% 33.9% → 29.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.86%	—	×0.860	29.12%
BB% (unintentional) /BF	12.60%	—	×0.900	11.34%
HR / BF /BF	4.72%	÷1.000	×1.100	5.20%

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 4.43 → 4.93, 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 AAAJacksonville Jumbo Shrimp · 38 IPFIP 4.11 → 4.60 (+0.49)K% 22.8% → 19.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.81%	—	×0.860	19.61%
BB% (unintentional) /BF	10.53%	—	×0.900	9.47%
HR / BF /BF	2.92%	÷0.903	×1.100	3.56%

Result: FIP 4.11 → 4.60, 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 AAASyracuse Mets · 38 IPFIP 3.85 → 4.09 (+0.23)K% 27.0% → 23.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.01%	—	×0.860	23.23%
BB% (unintentional) /BF	11.49%	—	×0.900	10.34%
HR / BF /BF	2.87%	÷1.059	×1.100	2.98%

Result: FIP 3.85 → 4.09, 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 AAAReno Aces · 21 IPFIP 4.65 → 4.90 (+0.26)K% 20.0% → 17.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.860	17.20%
BB% (unintentional) /BF	11.11%	—	×0.900	10.00%
HR / BF /BF	3.33%	÷1.012	×1.100	3.62%

Result: FIP 4.65 → 4.90, 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 AAAOmaha Storm Chasers · 29 IPFIP 2.81 → 3.36 (+0.55)K% 37.1% → 32.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.07%	—	×0.880	32.62%
BB% (unintentional) /BF	11.21%	—	×1.050	11.77%
HR / BF /BF	2.59%	÷1.027	×1.100	2.77%

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 105).

Result: FIP 2.81 → 3.36, 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 A+Wilmington Blue Rocks · 29 IPFIP 1.41 → 2.22 (+0.81)K% 33.0% → 25.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.04%	—	×0.770	25.44%
BB% (unintentional) /BF	8.70%	—	×1.150	10.00%
HR / BF /BF	0.00%	÷0.884	×1.250	0.00%

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 77).

Result: FIP 1.41 → 2.22, 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 AANorthwest Arkansas Naturals · 26 IPFIP 2.17 → 3.07 (+0.90)K% 30.0% → 24.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.00%	—	×0.810	24.30%
BB% (unintentional) /BF	4.00%	—	×1.100	4.40%
HR / BF /BF	2.00%	÷0.901	×1.200	2.66%

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 80).

Result: FIP 2.17 → 3.07, 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 ALexington Legends · 29 IPFIP 1.91 → 3.37 (+1.46)K% 42.1% → 31.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	42.11%	—	×0.740	31.16%
BB% (unintentional) /BF	3.51%	—	×1.180	4.14%
HR / BF /BF	3.51%	÷1.051	×1.300	4.34%

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 110).

Result: FIP 1.91 → 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).

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
Tyler Zuber (OGILVIE)	—	—	4.86	24.0%	8.8%	4.2%	—	5.26	22.8%	13.4%	66	+0.40	—	—	—
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	78
Sergio Santos R 2015 · 4.17 FIP	32	SU	4.17	24.7%	8.2%	3.9%	.283	—	—	—	—	—	1.36	178	76
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	76
Jumbo Diaz R 2016 · 3.85 FIP	32	SU	3.85	22.3%	9.2%	2.7%	.247	3.28	23.0%	13.8%	141	-0.57	2.80	319	73
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	73
Aaron Barrett R 2019 · 3.81 FIP	31	SU	3.81	23.0%	8.1%	3.0%	.246	4.56	19.9%	6.4%	38	+0.75	1.86	160	72
Kazuhiro Sasaki R 2000 · 3.93 FIP	32	SU	3.93	29.4%	9.8%	3.8%	.212	2.88	24.9%	19.3%	161	-1.05	2.76	223	72
Chris Hatcher R 2017 · 4.31 FIP	32	SU	4.31	24.5%	7.4%	4.3%	.291	5.32	18.0%	8.4%	36	+1.01	2.51	246	72
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	72
Austin Adams R 2019 · 5.80 FIP	32	SU	5.80	20.8%	10.6%	5.7%	.280	—	—	—	—	—	3.40	162	71
Jeff Fulchino R 2011 · 4.44 FIP	31	SU	4.44	20.4%	11.1%	3.0%	.302	—	—	—	—	—	3.36	178	70
Hunter Strickland R 2021 · 3.96 FIP	32	SU	3.96	24.0%	9.1%	3.1%	.247	4.38	19.6%	9.6%	147	+0.42	2.30	523	70
Scott Atchison R 2007 · 4.55 FIP	31	SU	4.55	19.1%	7.6%	3.8%	.297	4.59	16.2%	9.5%	60	+0.04	2.52	340	70
Santiago Casilla R 2012 · 3.98 FIP	32	SU	3.98	20.2%	6.6%	3.2%	.246	3.23	21.6%	13.7%	166	-0.75	2.76	647	69
Gregory Infante R 2018 · 4.07 FIP	31	SU	4.07	22.0%	4.6%	4.1%	.291	—	—	—	—	—	2.97	230	68
Frank Herrmann R 2016 · 4.42 FIP	32	SU	4.42	21.5%	4.8%	4.6%	.271	—	—	—	—	—	2.92	219	68
Tyler Walker R 2008 · 3.98 FIP	32	SU	3.98	21.7%	8.0%	3.1%	.263	3.75	19.3%	14.6%	71	-0.23	2.38	289	68
Steve Delabar R 2015 · 3.74 FIP	32	SU	3.74	25.0%	9.9%	2.7%	.246	4.62	20.4%	4.8%	24	+0.88	2.43	229	67
Vinny Nittoli R 2023 · 5.97 FIP	32	SU	5.97	21.6%	9.1%	6.5%	.264	4.18	25.2%	17.2%	69	-1.79	3.66	331	67
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	67

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	36	23.9%	10.5%	1.84	5.53
Josh Osich ('21)	1.1	55	20.7%	9.0%	1.84	5.02
Mike Mayers ('23)	1.3	53	23.0%	8.3%	1.61	5.21
Michael Feliz ('22)	1.2	50	29.9%	9.9%	1.55	5.29
Phil Hennigan ('69-'73, -0 WAR*)	1.4	70	20.9%*	10.4%*	1.50*	4.95*
Jeff Jones ('80-'84, -2 WAR*)	1.0	41	22.0%*	12.4%*	1.48*	4.53*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*