Joe Adametz

P Hub City Spartanburgers

Age 27 LHP 6'5" / 190 lbs A+

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX2 levels	22	19	97	2.50	2.90	20.7%	7.8%	—	K 15.6% · BB 9.1% · FIP 3.66
2025	25	MIX2 levels	37	0	60	4.62	4.16	18.2%	8.7%	—	K 14.2% · BB 9.7% · FIP 5.39
2026	26	MIX2 levels	18	4	72	7.96	4.01	18.2%	8.5%	—	K 14.3% · BB 9.3% · FIP 4.34
2027PROJ	27	MLBTEX	67	0	70	5.31	5.31	13.1%	10.6%	-0.6
2028PROJ37% MLB	28	MLBTEX	24	0	25	5.26	5.29	14.0%	10.6%	-0.2
2029PROJ55% MLB	29	MLBTEX	34	0	36	5.29	5.35	14.5%	10.8%	-0.3

Next 3 projected WAR -1.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control50Command35

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsJordan Carr (age 27) · Eric Jokisch (age 27) · Brian Holmes (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118126vR 134

ERA5.31

FIP5.31

K%13.1%

BB%10.6%

K-BB%2.5%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL5050

CMD3535

K†3030

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 industry-standard fWAR.

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)
2023	23	MIX MLE	2 levels	10	5	35	136	35	13	4	50%	3.5	19.0%	15.0%	4.0%	4.5%	2.34	5.89	—
2023	23	MIX RAW	2 levels	10	5	35	136	35	13	4	50%	3.5	25.7%	9.6%	16.2%	2.9%	2.34	3.71	—
2024	24	MIX MLE	2 levels	22	19	97	396	82	31	4	86%	4.4	15.6%	9.1%	6.5%	1.3%	2.50	3.66	—
2024	24	MIX MLE	2 levels	22	19	97	396	82	31	4	86%	4.4	15.6%	9.1%	6.5%	1.3%	2.50	3.66	—
2024	24	MIX RAW	2 levels	22	19	97	396	82	31	4	86%	4.4	20.7%	7.8%	12.9%	1.0%	2.50	2.90	—
2025	25	MIX MLE	2 levels	37	0	60	264	48	23	7	0%	1.6	14.2%	9.7%	4.5%	4.1%	4.62	5.39	—
2025	25	MIX MLE	2 levels	37	0	60	264	48	23	7	0%	1.6	14.2%	9.7%	4.5%	4.1%	4.62	5.39	—
2025	25	MIX RAW	2 levels	37	0	60	264	48	23	7	0%	1.6	18.2%	8.7%	9.5%	2.7%	4.62	4.16	—
2026	26	MIX MLE	2 levels	18	4	72	352	64	30	8	22%	4.0	14.3%	9.3%	5.1%	2.3%	7.96	4.34	—
2026	26	MIX MLE	2 levels	18	4	72	352	64	30	8	22%	4.0	14.3%	9.3%	5.1%	2.3%	7.96	4.34	—
2026	26	MIX RAW	2 levels	18	4	72	352	64	30	8	22%	4.0	18.2%	8.5%	9.7%	2.3%	7.96	4.01	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	TEX	67	0	70	296	39	31	9	0%	1.0	13.1%	10.6%	2.5%	2.9%	5.31	5.31	-0.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	TEX	65	0	68	287	40	31	9	0%	1.0	14.0%	10.6%	3.4%	3.0%	5.26	5.29	-0.6
2029	29	MLB MLE	TEX	62	0	65	274	40	29	9	0%	1.0	14.5%	10.8%	3.7%	3.2%	5.29	5.35	-0.6
2028	28	MLB CTX	TEX	24	0	25	106	15	11	3	0%	1.0	14.0%	10.6%	3.4%	3.0%	5.26	5.29	-0.2
2029	29	MLB CTX	TEX	34	0	36	152	22	16	5	0%	1.1	14.5%	10.8%	3.7%	3.2%	5.29	5.35	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		58	0	61	256	37	27	8	0%	1.0	14.3%	10.7%	3.6%	3.1%	5.28	4.95	-0.3
/ 200 IP	—	RAW		190	0	200	844	122	89	26	0%	1.0	14.3%	10.7%	3.6%	3.1%	5.28	4.95	-0.9
Career	—	MLE		87	28	265	1148	176	115	30	32%	3.0	15.3%	10.0%	5.3%	2.7%	4.45	4.53	-1.2
/ 200 IP	—	MLE		66	21	200	868	133	87	23	32%	3.0	15.3%	10.0%	5.3%	2.7%	4.45	4.53	-1.8

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
Joe Adametz (OGILVIE)	—	—	5.31	13.1%	10.6%	2.9%	—	5.32	14.2%	3.6%	133	+0.01	—	—	—
Jordan Carr L 2024 · 4.42 FIP	27	SW	4.42	13.1%	8.8%	2.4%	.295	6.61	11.8%	-1.7%	47	+2.19	3.49	269	80
Eric Jokisch L 2016 · 4.64 FIP	27	SW	4.64	12.4%	9.6%	2.5%	.330	3.93	15.2%	7.6%	283	-0.71	3.78	427	79
Brian Holmes L 2017 · 5.91 FIP	26	SW	5.91	15.5%	11.7%	4.8%	.354	—	—	—	—	—	3.60	205	77
Dan Meyer L 2008 · 5.66 FIP	27	SW	5.66	15.2%	10.6%	4.5%	.315	3.73	23.1%	15.2%	58	-1.93	3.73	112	77
Pat Misch L 2009 · 5.15 FIP	27	SW	5.15	8.5%	7.4%	3.3%	.271	3.50	14.5%	12.6%	38	-1.65	3.50	265	76
Greg Nappo L 2016 · 5.09 FIP	27	SU	5.09	17.2%	10.3%	3.9%	.285	6.26	12.3%	-0.3%	11	+1.17	3.37	144	75
Kyle Hunter L 2016 · 4.48 FIP	27	SU	4.48	11.2%	9.9%	1.9%	.295	4.50	14.0%	7.9%	72	+0.02	4.32	188	74
Stephen Peterson L 2015 · 4.59 FIP	27	SU	4.59	13.0%	9.5%	2.5%	.284	3.04	17.3%	6.3%	55	-1.55	3.04	120	73
Chris Reed L 2016 · 4.67 FIP	26	SW	4.67	16.4%	9.8%	3.1%	.238	—	—	—	—	—	4.67	137	73
Aaron Rozek L 2023 · 4.87 FIP	27	SP-	4.87	17.4%	8.8%	3.9%	.311	4.34	16.7%	9.5%	356	-0.53	3.68	579	72
Matt Whitehouse L 2018 · 4.55 FIP	27	SW	4.55	17.0%	12.8%	2.3%	.308	4.07	20.1%	9.2%	81	-0.48	3.37	353	72
Enrique Lechuga L 2015 · 4.70 FIP	29	SP-	4.70	10.0%	10.5%	2.0%	.354	3.78	10.5%	4.4%	59	-0.92	3.78	137	72
Phil Dumatrait L 2008 · 4.39 FIP	27	SP-	4.39	14.8%	11.4%	2.0%	.298	5.73	13.9%	2.0%	54	+1.34	4.39	151	71
Jack Snodgrass L 2015 · 4.66 FIP	27	SP-	4.66	12.6%	10.7%	2.3%	.278	5.01	15.7%	5.6%	45	+0.35	4.66	118	71
Ryan Kellogg L 2021 · 4.33 FIP	27	SW	4.33	12.3%	5.2%	2.9%	.305	—	—	—	—	—	3.65	446	70
Matt Stalcup L 2016 · 6.20 FIP	26	SW	6.20	11.5%	12.7%	4.5%	.337	—	—	—	—	—	3.62	145	70
Demetrio Gutierrez L 2017 · 5.46 FIP	27	SW	5.46	11.4%	9.6%	3.8%	.381	3.68	17.1%	11.8%	49	-1.78	3.68	322	70
John Rheinecker L 2006 · 4.14 FIP	27	SP-	4.14	8.7%	5.9%	1.9%	.364	5.13	16.7%	5.8%	50	+0.99	4.14	121	69
Jose Molina L 2016 · 4.17 FIP	25	SW	4.17	14.4%	8.9%	2.1%	.347	—	—	—	—	—	3.65	144	69
Mitch Stallings L 2021 · 5.48 FIP	26	SW	5.48	16.8%	11.5%	4.3%	.328	—	—	—	—	—	2.18	108	68

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	1.0	68	13.9%	10.7%	1.17	5.29
Luther Hackman ('03)	1.1	71	13.3%	10.9%	1.10	5.09
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Rodney Myers ('04)	1.2	60	15.0%	10.3%	1.05	5.07
Russ Swan ('89-'94, -2 WAR*)	1.3	89	12.3%*	9.9%*	1.13*	5.09*
Greg Booker ('83-'90, -1 WAR*)	1.3	53	13.3%*	10.2%*	1.07*	4.51*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*