Wyatt Parliament

P Tampa Tarpons

Age 23 RHP A Svc 0.0 · Ctrl thru 2037 peak 0.7 · 2028

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1081ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	22	MIX2 levels	17	16	72	4.77	3.10	25.0%	6.8%	—	K 18.1% · BB 8.4% · FIP 4.25
2027PROJ	23	MLBNYY	—	—	0	4.53	4.53	19.8%	8.6%	—
2028PROJ43% MLB	24	MLBNYY	4	4	24	4.56	4.52	20.8%	8.4%	0.3
2029PROJ66% MLB	25	MLBNYY	6	6	36	4.49	4.45	21.4%	8.3%	0.4

Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Ext$0.9M2034Ext$1.0M+3

Career WAR0.0 WAR median (P10 -0.3 / P90 1.2, comp-based) · star 1% · didn't stick 93%

CompsChad Patrick (age 23) · Cody Laweryson (age 23) · Marcelo Perez (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119111vR 103

ERA4.53

FIP4.53

K%19.8%

BB%8.6%

K-BB%11.2%

Proj IP43

Value2027 · WAR

Runs saved vs league avg · 43 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$17M ctrl surplus

Grades · Contract

Scouting Grades

K†4550

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$1M	+$0.8M

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	22	MIX MLE	2 levels	17	16	72	308	77	21	7	94%	4.2	18.1%	8.4%	9.7%	2.9%	4.77	4.25	—
2026	22	MIX MLE	2 levels	17	16	72	308	77	21	7	94%	4.2	18.1%	8.4%	9.7%	2.9%	4.77	4.25	—
2026	22	MIX RAW	2 levels	17	16	72	308	77	21	7	94%	4.2	25.0%	6.8%	18.2%	2.3%	4.77	3.10	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	NYY	—	—	0	—	—	—	—	—	—	19.8%	8.6%	11.2%	3.0%	4.53	4.53	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	NYY	10	10	57	240	50	20	7	100%	5.7	20.8%	8.4%	12.5%	3.0%	4.45	4.41	+0.7
2029	25	MLB MLE	NYY	9	9	54	228	49	19	7	100%	6.0	21.4%	8.3%	13.1%	2.9%	4.38	4.34	+0.7
2030	26	MLB MLE	NYY	9	9	54	228	50	19	7	100%	6.0	21.7%	8.3%	13.4%	3.0%	4.34	4.32	+0.7
2031	27	MLB MLE	NYY	9	9	53	222	48	19	7	100%	5.8	21.8%	8.4%	13.4%	3.0%	4.35	4.36	+0.6
2032	28	MLB MLE	NYY	8	8	50	211	46	18	7	100%	6.2	21.6%	8.6%	13.1%	3.1%	4.40	4.44	+0.6
2028	24	MLB CTX	NYY	4	4	24	101	21	8	3	100%	6.0	20.8%	8.4%	12.5%	3.2%	4.56	4.52	+0.3
2029	25	MLB CTX	NYY	6	6	36	152	33	13	5	100%	6.0	21.4%	8.3%	13.1%	3.1%	4.49	4.45	+0.4
2030	26	MLB CTX	NYY	7	7	43	182	39	15	6	100%	6.1	21.7%	8.3%	13.4%	3.2%	4.45	4.43	+0.5
2031	27	MLB CTX	NYY	8	8	45	190	41	16	6	100%	5.6	21.8%	8.4%	13.4%	3.2%	4.46	4.47	+0.5
2032	28	MLB CTX	NYY	7	7	44	186	40	16	6	100%	6.3	21.6%	8.6%	13.1%	3.3%	4.51	4.55	+0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		32	32	192	811	175	68	26	100%	6.0	21.5%	8.4%	13.1%	3.2%	4.49	4.10	+3.0
/ 200 IP	—	RAW		34	34	200	844	182	71	27	100%	5.9	21.5%	8.4%	13.1%	3.2%	4.49	4.10	+3.1
Career	—	MLE		17	16	72	308	56	26	9	94%	4.2	18.1%	8.4%	9.7%	2.9%	4.77	4.25	+3.2
/ 200 IP	—	MLE		47	45	200	860	155	72	25	94%	4.2	18.1%	8.4%	9.7%	2.9%	4.77	4.25	+2.4

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.

2026 ATampa Tarpons · 62 IPFIP 3.18 → 4.25 (+1.07)K% 24.4% → 18.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.44%	—	×0.740	18.08%
BB% (unintentional) /BF	7.14%	—	×1.180	8.43%
HR / BF /BF	2.26%	÷1.000	×1.300	2.93%

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 3.18 → 4.25, 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 ROKFCL Yankees · 10 IPFIP 2.60 → 4.04 (+1.45)K% 28.6% → 19.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.57%	—	×0.680	19.43%
BB% (unintentional) /BF	4.76%	—	×1.250	5.95%
HR / BF /BF	2.38%	÷1.000	×1.400	3.33%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. 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 2.60 → 4.04, 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
Wyatt Parliament (OGILVIE)	—	—	4.53	19.8%	8.6%	3.0%	—	4.36	21.3%	13.0%	165	-0.17	—	—	—
Chad Patrick R 2022 · 3.86 FIP	23	SP	3.86	20.3%	9.9%	2.2%	.315	4.19	22.1%	14.2%	422	+0.33	3.69	570	90
Cody Laweryson R 2021 · 4.06 FIP	23	SP	4.06	21.7%	8.4%	3.1%	.329	3.48	21.4%	12.8%	178	-0.58	2.48	298	89
Marcelo Perez R 2023 · 3.84 FIP	23	SP	3.84	18.0%	8.6%	2.1%	.288	4.99	14.7%	7.3%	238	+1.15	3.84	306	88
Dylan DeLucia R 2024 · 3.88 FIP	23	SP	3.88	21.6%	7.4%	3.0%	.241	5.29	18.0%	7.2%	197	+1.41	3.88	232	87
Pat Gallagher R 2023 · 3.83 FIP	23	SP-	3.83	21.9%	8.3%	2.8%	.284	3.42	20.6%	11.4%	217	-0.41	3.07	280	86
Trent Palmer R 2022 · 4.79 FIP	23	SP	4.79	22.0%	10.4%	4.1%	.284	4.83	12.8%	-9.4%	22	+0.04	3.51	140	86
Jared Karros R 2024 · 3.36 FIP	23	SP	3.36	21.9%	9.2%	1.7%	.281	7.71	12.4%	2.7%	52	+4.35	3.36	191	85
Ryan Garcia R 2022 · 3.74 FIP	24	SP	3.74	23.2%	10.7%	2.3%	.239	5.53	19.8%	6.6%	278	+1.79	3.74	362	83
Cameron Foster R 2023 · 4.31 FIP	24	SP	4.31	18.9%	10.3%	2.7%	.329	4.03	21.1%	11.2%	132	-0.28	2.50	213	83
Bud Norris R 2009 · 4.47 FIP	24	SP	4.47	21.7%	9.6%	3.6%	.309	4.01	22.5%	13.5%	508	-0.46	3.51	1,221	83
Andrew Quezada R 2021 · 4.40 FIP	24	SP-	4.40	18.1%	8.1%	3.3%	.312	4.86	14.6%	6.1%	291	+0.46	4.40	412	83
Trevor May R 2014 · 4.40 FIP	24	SP	4.40	20.7%	9.9%	3.3%	.369	3.18	25.0%	19.1%	157	-1.22	3.05	477	82
Nick Fraze R 2021 · 4.49 FIP	23	SP-	4.49	18.8%	7.3%	3.8%	.271	4.69	18.1%	10.4%	162	+0.20	3.86	278	82
Andrés Machado R 2016 · 4.02 FIP	23	SP	4.02	16.7%	6.7%	2.7%	.350	4.70	17.6%	8.8%	266	+0.68	3.63	530	82
Brandon White R 2023 · 4.93 FIP	23	SP	4.93	16.7%	10.3%	3.5%	.264	4.05	17.5%	10.6%	280	-0.88	3.90	299	82
Chance Kirby R 2018 · 4.14 FIP	23	SP	4.14	17.8%	5.7%	3.3%	.298	5.61	14.2%	6.7%	166	+1.47	4.14	325	82
Zack Lee R 2024 · 3.51 FIP	23	SP-	3.51	19.2%	7.0%	2.1%	.293	4.54	15.0%	6.5%	153	+1.03	3.22	236	82
Ryan Atkinson R 2016 · 4.58 FIP	23	SP-	4.58	18.4%	11.3%	2.9%	.315	4.48	21.6%	9.0%	305	-0.10	4.14	338	82
Seth Shuman R 2021 · 4.86 FIP	23	SP	4.86	18.9%	7.6%	4.4%	.297	4.48	15.4%	8.4%	109	-0.38	3.16	357	81
Drew McDaniel R 2024 · 4.24 FIP	23	SP	4.24	19.4%	8.4%	3.1%	.307	5.65	18.3%	7.2%	91	+1.41	4.24	230	81

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	1.6	52	21.2%	8.4%	1.16	4.40
J. C. Gutierrez ('07-'14, -0 WAR*)	1.4	57	19.8%*	8.5%*	1.19*	4.72*
Tyler Walker ('10)	1.5	50	18.9%	8.5%	1.11	4.23
Juan Carlos Oviedo ('14)	1.9	56	18.9%	8.0%	1.16	4.28
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Bill Pleis ('61-'66, -0 WAR*)	1.4	56	19.7%*	9.8%*	1.15*	4.53*